Duplicated/ Repeated Cases in SISTRAT C1
February 21, 2022
rm(list=ls());gc()## used (Mb) gc trigger (Mb) max used (Mb)
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path<-gsub("/SUD_CL","",here::here())
check_obj<-function(x){if(!exists(x)){stop(paste0("The object ",x ," was not created"))}}
load(paste0(path,"/1.Rdata"))#setwd("H:/sud_cl/")
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require(dplyr)
CONS_C1_df%>%
dplyr::mutate(fech_ing_ano = lubridate::year(fech_ing),
fech_ing_mes = lubridate::month(fech_ing),
fech_ing_dia = lubridate::day(fech_ing)) %>%
dplyr::mutate(concat=paste0(HASH_KEY,"_",fech_ing_ano,"_",fech_ing_mes,"_",fech_ing_dia)) %>%
dplyr::mutate(duplicated_HASH_date = duplicated(concat)) %>%
as.data.table() %>%
assign("CONS_C1_df_dup",.,envir = .GlobalEnv)
#45526 trues#Libraries used in the routine. Dont change the order
# local({r <- getOption("repos")
# r["CRAN"] <- "http://cran.r-project.org"
# options(repos=r)
# })
copiar_nombres <- function(x,row.names=FALSE,col.names=TRUE,dec=",",...) {
if(class(ungroup(x))[1]=="tbl_df"){
if(options()$OutDec=="."){
options(OutDec = dec)
write.table(format(data.frame(x)),"clipboard",sep="\t",row.names=FALSE,col.names=col.names,...)
options(OutDec = ".")
return(x)
} else {
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write.table(format(data.frame(x)),"clipboard",sep="\t",row.names=FALSE,col.names=col.names,...)
options(OutDec = ",")
return(x)
}
} else {
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return(x)
} else {
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write.table(format(x),"clipboard",sep="\t",row.names=FALSE,col.names=col.names,...)
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return(x)
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}
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# tryCatch(source("https://raw.githubusercontent.com/radiant-rstats/minicran/gh-pages/update.R"), error = function(e) print("updated package, radiant"))
#radiant::update_radiant()To assess the main goals of the study, we focused on distinguishing each user throughout the yearly datasets obtained from SENDA (1); then we separate each treatment of each user (2). Finally, we normalize, standardize, and clean each treatment (3). These stages may be conceptually separated and sequential, but they are interdependent (e.g., we needed to standardize some variables to detect duplicated entries).
On this page, we use the terms “rows” and “cases” interchangeably to refer to the entries of the dataset.
1. Drop duplicated entries
Many treatments last more than one year. Hence, entries may come from different yearly datasets but refer to the same treatment. We detected duplicated rows in almost every variable, excepting for the row number of the entry in the whole consolidated dataset and in the retrieval year of the dataset.
#create vector with variable names
names_c1 <- names(CONS_C1_df_dup[,c(3,5:106)])
#Group by duplicated rows
as.data.table(CONS_C1_df_dup)[, dup_todo := .N, by = names_c1] %>%
data.table::as.data.table() %>%
assign("CONS_C1_df_dup_ENE_2020_prev",.,envir = .GlobalEnv)
#summarise duplicates and times
as.data.table(CONS_C1_df_dup)[, dup_todo := .N, by = names_c1] %>%
dplyr::arrange(HASH_KEY, fech_ing, desc(ano_bd)) %>%
dplyr::group_by(dup_todo) %>%
dplyr::summarise(n()) %>%
data.frame() %>%
dplyr::rename("Times present in Dataset"=dup_todo, "Number of Rows"=`n..`) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 1. Duplicated cases in almost every variable",
align ="cccc") %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 10)`summarise()` ungrouping output (override with `.groups` argument)| Times present in Dataset | Number of Rows |
|---|---|
| 1 | 91,289 |
| 2 | 63,206 |
| 3 | 7,305 |
| 4 | 1,116 |
| 5 | 175 |
| 6 | 48 |
| 7 | 7 |
data.table::data.table(CONS_C1_df_dup_ENE_2020_prev) %>%
dplyr::arrange(desc(ano_bd)) %>%
dplyr::mutate(OBS=case_when(dup_todo>1 ~ "1.1. Duplicated Cases in Almost Every Variable",
TRUE ~ "")) %>%
#dplyr::distinct_(.dots = names_c1, .keep_all = TRUE) %>%
dplyr::distinct_at(.vars=names_c1, .keep_all = TRUE) %>%
dplyr::arrange(HASH_KEY, fech_ing, desc(ano_bd), desc(fech_egres)) %>%
data.table::as.data.table() %>%
assign("CONS_C1_df_dup_ENE_2020_prev",.,envir = .GlobalEnv)
#Unlike base sorting with sort(), NA are: always sorted to the end for local data, even when wrapped with desc().Since these duplicated rows contained the same values, we do not lose additional information if we delete these rows. Therefore, we selected only 163,146 rows of the original 125,650 cases.
We still needed to identify which of the repeated treatments has more recent information regarding a specific treatment. Hence, we eliminated duplicated rows but kept events with more days of treatment, or from a more recent yearly dataset. But, how can we do it in some cases with negative days of treatment? Table 2 shows HASHs with some entries with negative days of treatment. It was necessary to clarify some dates to avoid overlap between treatments. As can be seen in Table 2, it is possible to replace a few with an event with similar dates, but others were declared as missing and would be imputed once the dataset is normalized.
require(dplyr)
require(data.table)
HASHS_of_negtive_days_treat <- CONS_C1_df_dup_ENE_2020_prev %>%
dplyr::mutate(fech_ing_num=as.numeric(as.Date(fech_ing)), fech_egres_num= as.numeric(as.Date(fech_egres)),discharge_before_treatment=fech_egres_num-fech_ing_num) %>%
dplyr::filter(discharge_before_treatment<0) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad, dias_trat, SENDA) %>% dplyr::distinct(HASH_KEY)
#
CONS_C1_df_dup_ENE_2020_prev %>%
dplyr::filter(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(HASHS_of_negtive_days_treat)))))) %>%
dplyr::arrange(HASH_KEY, fech_ing, desc(ano_bd)) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad, dias_trat, SENDA) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 2 Negative days of treatment", align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::add_footnote( c("Assuming the date of retrieval, 2019-11-13"), notation = "none") %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | HASH_KEY | id_mod | ano_nac | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro | Edad | dias_trat | SENDA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 15,986 | 2,011 | 0ad9090b99f6add47d0ed80878410d7b | NIFE1**121991 | 1,991 | 2011-05-10 | 2010-05-30 | PG-PR | Programa Población General | 104 | 27 | -345 | Si |
| 62,328 | 2,014 | 0ad9090b99f6add47d0ed80878410d7b | NIFE1**121992 | 1,992 | 2014-09-02 | 2014-09-06 | PG-PR | Programa Población General | 104 | 26 | 4 | Si |
| 64,545 | 2,014 | 0ad9090b99f6add47d0ed80878410d7b | NIFE1**121992 | 1,992 | 2014-11-26 | 2014-11-27 | CALLE | Programa Calles | NA | 26 | 1 | Si |
| 1,550 | 2,010 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 1,981 | 2009-11-19 | 2010-02-23 | PG-PR | Programa Población General | 104 | 38 | 96 | Si |
| 6,039 | 2,010 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 1,981 | 2010-06-09 | 2010-02-23 | PG-PR | Programa Población General | 104 | 38 | -106 | No |
| 22,130 | 2,012 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 1,981 | 2011-09-12 | 2012-03-30 | PG-PAI | Programa Población General | 320 | 38 | 200 | Si |
| 152,754 | 2,019 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 1,981 | 2018-12-22 | 2019-06-14 | PG-PR | Programa Población General | 104 | 38 | 174 | Si |
| 19,397 | 2,011 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 1,975 | 2011-09-29 | 2011-12-02 | M-PR | Programa Específico Mujeres | 142 | 44 | 64 | Si |
| 18,774 | 2,011 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 1,975 | 2011-09-29 | 2011-09-05 | M-PR | Programa Específico Mujeres | 142 | 44 | -24 | Si |
| 25,129 | 2,012 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 1,975 | 2012-02-07 | 2012-04-10 | PG-PAI | Programa Población General | 301 | 44 | 63 | Si |
| 137,996 | 2,018 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 1,975 | 2018-05-02 | 2018-06-30 | PG-PAI | Programa Población General | 301 | 44 | 59 | Si |
| 5,283 | 2,010 | 2ad8f3601eea844e20e7d2b546b73a18 | PAMU2**061968 | 1,968 | 2010-05-25 | 2010-05-24 | M-PR | Programa Específico Mujeres | 104 | 51 | -1 | No |
| 4,421 | 2,010 | 2c919b3531d3696fe3e247ab4dc56bfc | DAJE1**091980 | 1,980 | 2010-03-24 | 2010-03-11 | PG-PAB | Programa Población General | 295 | 39 | -13 | Si |
| 4,975 | 2,010 | 414f7223d68da1191a9cff4cad0e54a2 | MACI1**101965 | 1,965 | 2010-04-22 | 2010-04-03 | PG-PAB | Programa Población General | 124 | 54 | -19 | Si |
| 8,440 | 2,010 | 7b7c7a8a877c369884fa9745e40b6f3b | JEPO2**021978 | 1,978 | 2010-10-27 | 2010-11-10 | PG-PAI | Programa Población General | 187 | 41 | 14 | No |
| 8,320 | 2,010 | 7b7c7a8a877c369884fa9745e40b6f3b | JEPO2**021978 | 1,978 | 2010-10-27 | 2010-10-22 | PG-PAI | Programa Población General | 187 | 41 | -5 | Si |
| 6,868 | 2,010 | 91d2b53989232617a76554f9df52348c | JUTI1**071981 | 1,981 | 2010-07-01 | 2010-06-30 | PG-PAI | Programa Población General | 109 | 38 | -1 | Si |
| 7,566 | 2,010 | 91d2b53989232617a76554f9df52348c | JUTI1**071982 | 1,982 | 2010-07-06 | 2011-07-16 | PG-PAI | Programa Población General | 109 | 37 | 375 | Si |
| 5,581 | 2,010 | e7fba974dc5e247f53d87f558a6fc420 | ALCA1**041980 | 1,980 | 2010-05-25 | 2010-05-20 | PG-PAI | Programa Población General | 200 | 39 | -5 | Si |
| 74,778 | 2,015 | e7fba974dc5e247f53d87f558a6fc420 | ALCA1**041980 | 1,980 | 2015-04-01 | 2015-08-31 | PG-PAB | Programa Población General | 173 | 39 | 152 | Si |
| 12,589 | 2,011 | f500ece16ca0a991818cb600fa4a9685 | ROCO1**081961 | 1,961 | 2010-12-31 | 2010-12-16 | PG-PR | Programa Población General | 104 | 58 | -15 | No |
| 11,357 | 2,011 | f580b664d04575ecea2dd4ba9e6f0de5 | MAGO1**041982 | 1,982 | 2010-10-02 | 2010-10-01 | PG-PR | Programa Población General | 267 | 37 | -1 | Si |
| 129,856 | 2,018 | f580b664d04575ecea2dd4ba9e6f0de5 | MAGO1**041982 | 1,982 | 2017-09-04 | 2018-05-31 | PG-PAI | Programa Población General | 694 | 37 | 269 | Si |
| Assuming the date of retrieval, 2019-11-13 |
The second stage required to eliminate rows that contained duplicated values in some variables related to treatments and drug-use. The following were selected:
- HASH Key (HASH_KEY)
- Date of Admission (fech_ing)
- Type of Center (tipo_centro)
- Center ID (ID.centro)
- Type of Program (Tipo.de.Programa)
- Type of Plan (Tipo.de.Plan)
- SENDA program (SENDA)
- Main Substance of Consumption (Sustancia.Principal)
- Other Substances (first, second, and third) (Otras.Sustancias.)
- Frequency of Consumption of the Main Substance (Frecuencia.de.Consumo..Sustancia.Principal)
- Starting Substance (Sustancia.de.Inicio)
- Age of Onset of Drug Use (Edad.Inicio.Consumo)
Additionally, we ordered the data by the inverse of the year of the dataset (more recent), the inverse of the date of admission, the inverse of the date of discharge, and the inverse of the date of treatment (but treating negative treatment days as 0).
require(data.table)
names_c1_stage2 <- c("HASH_KEY","fech_ing", "tipo_centro", "ID.centro", "Tipo.de.Programa", "Tipo.de.Plan", "SENDA", "Sustancia.Principal", "Otras.Sustancias.nº1","Otras.Sustancias.nº2","Otras.Sustancias.nº3", "Frecuencia.de.Consumo..Sustancia.Principal.","Sustancia.de.Inicio", "Edad.Inicio.Consumo")
#genero una lista de los casos que tienen algún tipo de duplicados.
dup_partes<-data.table::as.data.table(CONS_C1_df_dup_ENE_2020_prev)[, dup_partes := .N, by = names_c1_stage2]%>%dplyr::filter(dup_partes>1) %>% distinct(row)
#40 missing treatment days
#CONS_C1_df_dup_ENE_2020_prev %>%
# dplyr::filter(is.na(fech_egres), !is.na(dias_trat)) %>% nrow()
#9394 missing dates of discharge
#CONS_C1_df_dup_ENE_2020_prev %>%
# dplyr::filter(is.na(fech_egres), !is.na(dias_trat)) %>% nrow()
require(dplyr)
data.table::data.table(CONS_C1_df_dup_ENE_2020_prev) %>%
#A VECES DA UN ERROR INEXPLICABLE DE QUE NO ENCUENTRA OBS, EN ESE CASO, BORRAR CACHÉ, CORRER LA PARTE DE PREV2 DE NUEVO Y VER QUÉ PASA
dplyr::mutate(OBS=case_when(dias_trat<0 ~ glue::glue("{OBS};1.2. Negative Days of Treatment, Changed Date of Discharge"),
TRUE ~ OBS))%>% # APLICADO EN ABRIL 2020, PARA HACER UN CONTROL A LOS CASOS EXTRAÑOS
#dplyr::mutate(fech_egres=case_when(dias_trat<0 ~ NA,
# TRUE ~ as.character(fech_egres)))%>%
# APLICADO EN ABRIL 2020, AL VER QUE 9 CASOS FUERON OBVIADOS. CORREGIDO NUEVAMENTE, BORRABA CASOS. Posteriormente tuve que volver a corregirlo.
dplyr::mutate(fech_egres=if_else(dias_trat>=0,as.character(fech_egres),"",missing=as.character(fech_egres)))%>%
dplyr::mutate(fech_egres=lubridate::parse_date_time(fech_egres, c("%Y-%m-%d"),exact=T))%>%
dplyr::mutate(dias_trat=if_else(!is.na(fech_egres), as.numeric(difftime(fech_egres,fech_ing, units="days")),as.numeric(dias_trat)))%>%
dplyr::mutate(dias_trat=ifelse(is.na(fech_egres)&dias_trat==0,NA,dias_trat))%>%
dplyr::mutate(dias_trat=ifelse(as.numeric(dias_trat)<0,NA,as.numeric(dias_trat)))%>%
dplyr::mutate(dias_trat_inv=ifelse(dias_trat<0,0,dias_trat*-1))%>% #transforma los erroneos en 0
#dplyr::group_by(dias_trat_inv) %>%summarise(n()) %>% View() para probarlo
#INCORPORADO EN ABRIL 2020, PARA PESQUISAR CASOS DEDUPLICADOS
dplyr::arrange(desc(ano_bd),HASH_KEY, desc(fech_ing), dias_trat_inv) %>% ##ABRIL 2020, SAQUÉ FECHA DE EGRESO COMO ORDENADOR
# dplyr::filter(row %in% as.character(as.vector(unlist(as.data.table(unlist(dup_partes))))))
dplyr::mutate(OBS=case_when(row %in% as.character(as.vector(unlist(as.data.table(unlist(dup_partes))))) ~ paste0(as.character(OBS),";","1.3. Duplicated Cases In Treatment and Substance Use Characteristics"),
TRUE ~ as.character(OBS))) %>%
#dplyr::distinct_(.dots = names_c1_stage2, .keep_all = TRUE) %>%
dplyr::distinct_at(.vars=names_c1_stage2, .keep_all = TRUE) %>%
# dplyr::arrange(HASH_KEY, fech_ing, desc(ano_bd)) %>%
data.table::as.data.table() %>% #para contar las filas
# dplyr::select(row) %>% summarise(mean(row), sd(row)) #, lo mismo que en STATA. Se supone que una row es sensible a cambios distintos.
assign("CONS_C1_df_dup_ENE_2020_prev2",.,envir = .GlobalEnv)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#VER CASOS PERDIDOS POR LA NORMALIZACION DE FECHAS
#CONS_C1_df_dup_ENE_2020_prev2%>%
# dplyr::filter(!is.na(fech_egres_sin_fmt),is.na(fech_egres))%>%
# dplyr::select(row, HASH_KEY, fech_ing, fech_egres, fech_egres_sin_fmt,dias_trat)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#Lo mismo que en STATA: Ahora hay 118,121. Una vez que introduje
# dplyr::arrange(HASH_KEY, fech_ing, desc(ano_bd), desc(fech_egres)) %>% criterio anteriorA total of 118,089 cases were selected. Still, most of these variables were not standardized, so maybe there would be more duplicated cases once this process is completed. Among them, 62 had an alternative HASH key if the first HASH does not match any of the HASHs of other datasets (For more information about this process, visit the encryption phase).
#Cases by year.
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::group_by(ano_bd) %>%
dplyr::tally() %>%
as.data.frame() %>%
dplyr::mutate(ano_bd=as.numeric(ano_bd)) %>%
assign("cant_ano",., envir = .GlobalEnv)
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::group_by(ano_bd) %>%
distinct(HASH_KEY) %>%
dplyr::summarize(n=n()) %>%
dplyr::mutate(ano_bd= as.numeric(ano_bd)) %>%
dplyr::left_join(cant_ano,by="ano_bd") %>%
mutate(dif=`n.y`-`n.x`, "%"=paste0(round(100 * dif/`n.y`, 1), "%")) %>%
dplyr::rename("Year"=ano_bd, "Unique HASHs"=n.x, "Total Cases"=n.y, "Diff."=dif) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 3. Differences between HASHs and unique HASHs by year",
align ="cccc") %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 10)distinct (grouped): removed 7,815 rows (7%), 110,274 rows remaining`summarise()` ungrouping output (override with `.groups` argument)mutate: new variable 'dif' with 10 unique values and 0% NA
new variable '%' with 7 unique values and 0% NA| Year | Unique HASHs | Total Cases | Diff. | % |
|---|---|---|---|---|
| 2,010 | 6,558 | 6,991 | 433 | 6.2% |
| 2,011 | 7,376 | 7,909 | 533 | 6.7% |
| 2,012 | 7,673 | 8,239 | 566 | 6.9% |
| 2,013 | 9,715 | 10,456 | 741 | 7.1% |
| 2,014 | 11,260 | 12,025 | 765 | 6.4% |
| 2,015 | 12,394 | 13,344 | 950 | 7.1% |
| 2,016 | 12,936 | 13,782 | 846 | 6.1% |
| 2,017 | 13,137 | 14,005 | 868 | 6.2% |
| 2,018 | 13,031 | 13,871 | 840 | 6.1% |
| 2,019 | 16,194 | 17,467 | 1,273 | 7.3% |
perc_total<-CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::group_by(ano_bd) %>%
distinct(HASH_KEY) %>%
dplyr::summarize(n=n()) %>%
dplyr::mutate(ano_bd= as.numeric(ano_bd)) %>%
dplyr::left_join(cant_ano,by="ano_bd") %>%
mutate(dif=`n.y`-`n.x`, "%"= dif/`n.y`) %>%
summarise(mean(`%`))distinct (grouped): removed 7,815 rows (7%), 110,274 rows remaining
`summarise()` ungrouping output (override with `.groups` argument)mutate: new variable 'dif' with 10 unique values and 0% NA
new variable '%' with 10 unique values and 0% NA
summarise: now one row and one column, ungroupedIn Table 3, we can see that, on average, around 7% of HASHs appear more than one time per yearly dataset. This means that users could have more than one treatment within a year, or treatments may be duplicated within each yearly dataset.
2. Identification of HASH-Keys and ID’s from SENDA
At this point, we do not know if the masked ID number generated by the application created by the informatic is effectively creating a valid number that lets us distinguish each user from one another.
There were 85,722 unique HASHs and 89,925 unique IDs. One option was to look at the consistency between two identifiers: SENDA’s ID (encryption of the ID, provided by SENDA) and the generated HASH Key by the informatics professional in the context of this research. Of the 118,089 cases, around 90,130 had a unique combination of SENDAs ID and HASH. Nonetheless, some cases showed more than one different HASH per ID or vice-versa, meaning that one of them could not be adequately representing the official identification number (RUN).
We found 4,408 HASHs with duplicated ID’s en each hash, which represents 3.7% of the total cases. A greater number could mean that HASH could be less likely to represent more than one user, compared to SENDA’s ID.
Instead, there were 205 users with duplicated HASH’s in each ID, which represents 0.2% of the total cases, as shown in Table 4.
#Take which has a combination of IDs and HASH Keys distinct to the rest
#With this I may be subestimating the number of cases with a different concatenation.
#Considering all the distinct combinations, i take what they have a duplicate ID
#Select the duplicate IDs, it orders and...
#Filter only cases that has distinct id.
CONS_C1_df_dup_ENE_2020_prev2 %>% mutate(concat=paste0(id,"_",HASH_KEY)) %>% dplyr::distinct(concat, .keep_all = TRUE) %>% #once here, n° of cases has been replaced by distinct or unique combinations of IDs and HASH keys.
dplyr::filter(duplicated(id)) %>% dplyr::arrange(id) %>% #filter cases in which there is more than one ID, despite there is differents combinations of HASH and IDs, and then arrange IDs. This is possible only if a different HASH-Key contains more than one ID or viceversa.
dplyr::distinct(id) %>% #take distincts IDs (exclude duplicated repeated IDs)
assign("ids_more_one_hash",., envir = .GlobalEnv) # Differently put, take the distints IDs per HASH-Key, of the cases in which there are different combinations.mutate: changed 118,089 values (100%) of 'concat' (0 new NA)# of IDs and hash, and in which subgroup exists duplicated IDs.
#IMPORTANT: IF THE ID IS DUPLICATED, MIGHT NOT BE REFLECTED IN THIS RESUME IN TERMS OF QUANTITY.
# Then, apply these cases to the whole population
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::filter(id %in% as.character(as.vector(unlist(as.data.table(unlist(ids_more_one_hash)))))) %>% # Select IDs of cited cases
dplyr::arrange(id) %>% #ordeno por ids
#762 cases. 409 cases without duplicates.
#dplyr::select(-id,-TABLE,-14,-16,-17,-26,-27,-28,-29,-35,-36,-37,-88,-93,-94,-96,-101,-110,-11,-112) %>%
dplyr::select(row, ano_bd, id_mod, HASH_KEY, hash_rut_completo ,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 4. Total cases that each ID have more than one HASH-KEY",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | id_mod | HASH_KEY | hash_rut_completo | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro |
|---|---|---|---|---|---|---|---|---|---|
| 149,539 | 2,019 | ALCA1**021988 | 03e477fb3fbca88886a0b4a4e3a23a1e | NA | 2018-08-30 | 2019-04-30 | PG-PAB | Programa Población General | 110 |
| 137,772 | 2,018 | ALCA1**021988 | 25ac7cdc09cabce1688545ac1453c3c1 | NA | 2018-05-09 | 2018-11-05 | PG-PAI | Programa Población General | 425 |
| 113,873 | 2,017 | ALCA1**021988 | 25ac7cdc09cabce1688545ac1453c3c1 | NA | 2017-02-21 | 2017-04-27 | PG-PAI | Programa Población General | 133 |
| 27,528 | 2,012 | ALCA1**021988 | 25ac7cdc09cabce1688545ac1453c3c1 | 2012-06-01 | 2012-09-03 | PG-PAI | Programa Población General | 330 | |
| 157,915 | 2,019 | ALCO1**021992 | cc1fc01c0f96584bddaf9e43733eb26e | NA | 2019-06-06 | NA | PG-PAI | Programa Población General | 500 |
| 117,625 | 2,017 | ALCO1**021992 | ade0c6d90cc8ea63da56c100d25189bd | NA | 2017-03-27 | 2017-07-04 | PG-PAI | Programa Población General | 254 |
| 129,197 | 2,018 | ALDE1**081993 | e6490438024bc92ae74ae2c3f2b50ac1 | NA | 2017-09-01 | 2018-04-12 | PG-PAB | Programa Población General | 588 |
| 118,913 | 2,017 | ALDE1**081993 | 349ebd9b0a0b1597bddac88c1c2831a4 | NA | 2017-06-13 | 2017-08-31 | PG-PAB | Programa Población General | 588 |
| 111,001 | 2,017 | ALDE1**081993 | e6490438024bc92ae74ae2c3f2b50ac1 | NA | 2016-12-09 | 2017-05-26 | PG-PAB | Programa Población General | 588 |
| 71,374 | 2,015 | ALMA1**061990 | 684466febb12b816c8ff57647062a980 | 2015-01-29 | 2015-04-29 | PG-PAI | Programa Población General | 145 | |
| 64,467 | 2,014 | ALMA1**061990 | da52129af3254ce7030d93a4e0d44cb0 | 2014-11-04 | 2015-01-29 | PG-PAB | Programa Población General | 145 | |
| 37,260 | 2,013 | ALMA1**061990 | da52129af3254ce7030d93a4e0d44cb0 | 2013-02-21 | 2013-05-31 | PG-PAI | Programa Población General | 145 | |
| 151,545 | 2,019 | ALMO1**081975 | e68d0d83a6d29bd0063ad89b19ac14ee | NA | 2018-12-04 | 2019-05-01 | PG-PR | Programa Población General | 117 |
| 89,735 | 2,016 | ALMO1**081975 | df563b42ea36fc66aa5a296e7c34a0a4 | 2015-06-18 | 2016-08-16 | PG-PAI | Programa Población General | 428 | |
| 154,950 | 2,019 | ALRA1**061986 | 3c66a2f8c6d2e01e3488e98761647b22 | NA | 2019-03-04 | NA | PG-PAI | Programa Población General | 187 |
| 35,709 | 2,013 | ALRA1**061986 | 35bae885f000ee869d3dca46ef5623c3 | 2013-01-21 | 2013-04-30 | PG-PAI | Programa Población General | 202 | |
| 30,811 | 2,012 | ALRA1**061986 | 35bae885f000ee869d3dca46ef5623c3 | 2012-10-10 | 2012-11-30 | PG-PAB | Programa Población General | 209 | |
| 49,306 | 2,014 | ALRO1**081980 | fb3b4aaf815c165dda06907f1916d16c | 2013-06-10 | 2014-03-12 | PG-PAB | Programa Población General | 204 | |
| 14,369 | 2,011 | ALRO1**081980 | cc23a810e34eee1cf6dda487dbdfb118 | 2011-03-24 | 2011-05-01 | PG-PR | Programa Población General | 163 | |
| 47,998 | 2,014 | ALVI1**051985 | 853911ca4f15827dcca9d41b89307401 | 2012-10-01 | 2014-09-01 | PG-PAB | Programa Población General | 156 | |
| 21,550 | 2,012 | ALVI1**051985 | 8e4e95fd2499260db7cf6d8aab29538d | 2011-06-13 | 2012-06-11 | PG-PAB | Programa Población General | 113 | |
| 18,661 | 2,011 | ANCA1**041984 | 14057afa2ee91cd26fed93a2724d0f51 | 2011-09-07 | 2012-01-31 | PG-PAB | Programa Población General | 157 | |
| 15,877 | 2,011 | ANCA1**041984 | 98fa1abb49cc5e9adbf2ea87b2448e2e | 2011-04-19 | 2011-09-30 | PG-PAI | Programa Población General | 301 | |
| 5,006 | 2,010 | ANCA1**041984 | 14057afa2ee91cd26fed93a2724d0f51 | 2009-09-30 | 2010-08-05 | PG-PAB | Programa Población General | 157 | |
| 37,866 | 2,013 | ANCA2**091987 | 4b5bde97100768f1658aac3d25d18e23 | 2013-03-25 | 2013-11-05 | PG-PAB | Programa Población General | 265 | |
| 27,914 | 2,012 | ANCA2**091987 | 0e91ac990dd81bd35148b0d94f7229c1 | 2012-06-27 | 2012-07-27 | PG-PAI | Programa Población General | 148 | |
| 3,029 | 2,010 | ARGO1**101977 | 7828a258c758463d34db128a638c4daf | 2010-01-19 | 2010-02-26 | PG-PAB | Programa Población General | 138 | |
| 4,483 | 2,010 | ARGO1**101977 | 97e26d3ed19f4114f8f820c2f6e70d23 | 2010-03-01 | 2010-09-02 | PG-PAI | Programa Población General | 138 | |
| 52,923 | 2,014 | ARSO1**061981 | c27c9c81fe84ab962a5fb2e391910d59 | 2013-12-02 | 2014-11-26 | PG-PAI | Programa Población General | 157 | |
| 42,437 | 2,013 | ARSO1**061981 | c27c9c81fe84ab962a5fb2e391910d59 | 2013-07-30 | 2013-12-01 | PG-PAI | Programa Población General | 157 | |
| 17,783 | 2,011 | ARSO1**061981 | 4d120e94401cd63a6a5d81eeee6eafb5 | 2011-07-29 | NA | PG-PR | Programa Población General | 236 | |
| 152,264 | 2,019 | BAHE2**051993 | 709869d83a4db30a518df175cf9b916a | NA | 2019-01-23 | 2019-06-04 | M-PR | Programa Específico Mujeres | 717 |
| 148,242 | 2,019 | BAHE2**051993 | 709869d83a4db30a518df175cf9b916a | NA | 2018-07-11 | 2019-01-22 | M-PAI | Programa Específico Mujeres | 363 |
| 132,727 | 2,018 | BAHE2**051993 | 709869d83a4db30a518df175cf9b916a | NA | 2017-10-11 | 2018-06-30 | M-PR | Programa Específico Mujeres | 728 |
| 112,412 | 2,017 | BAHE2**051993 | 709869d83a4db30a518df175cf9b916a | NA | 2017-01-09 | 2017-04-03 | PG-PR | Programa Población General | 179 |
| 122,834 | 2,017 | BAHE2**051993 | cdd5f1393134a2e63f314c6b93071d9e | NA | 2017-10-11 | 2018-01-26 | M-PR | Programa Específico Mujeres | 449 |
| 49,835 | 2,014 | BAHE2**051993 | 709869d83a4db30a518df175cf9b916a | 2013-07-26 | 2014-06-16 | PG-PAI | Programa Población General | 174 | |
| 13,792 | 2,011 | BLAN1**101990 | 790b95930f972f4cd26732d0efa29eab | 2011-02-01 | 2011-03-11 | PG-PAI | Programa Población General | 171 | |
| 4,099 | 2,010 | BLAN1**101990 | d58d0a99d5938b1bb20354cbbe4d2fb7 | 2009-11-17 | 2010-12-01 | PG-PAI | Programa Población General | 171 | |
| 151,966 | 2,019 | BRVE1**091997 | 86aad9a1dc0bb6d6dd0c6f367585b11d | NA | 2019-01-16 | 2019-01-30 | PG-PR | Programa Población General | 266 |
| 150,288 | 2,019 | BRVE1**091997 | 9979b0688c4355b878d5f7aa7ba02c82 | NA | 2018-11-07 | 2019-07-31 | PG-PAB | Programa Población General | 173 |
| 120,172 | 2,017 | CABA1**111982 | 5f8b82f9e556a459fea7c7c9a1e2c6ba | NA | 2017-07-20 | 2017-08-10 | PG-PR | Programa Población General | 104 |
| 103,331 | 2,016 | CABA1**111982 | 5e863eabe503ab0a538991b476939404 | 2016-10-06 | 2016-11-21 | PG-PAI | Programa Población General | 320 | |
| 89,576 | 2,016 | CABA1**111982 | 5f8b82f9e556a459fea7c7c9a1e2c6ba | 2015-09-03 | 2016-10-05 | PG-PAI | Programa Población General | 396 | |
| 107,428 | 2,017 | CALE1**041981 | 2001739a2eaafbb80a96c88743e97746 | NA | 2016-05-02 | 2017-11-01 | PG-PAI | Programa Población General | 138 |
| 97,085 | 2,016 | CALE1**041981 | f3e54e4f1efe94f8ca7722952a120c0b | 2016-05-02 | 2016-05-03 | PG-PAI | Programa Población General | 138 | |
| 88,588 | 2,016 | CALO1**091980 | e7d37ad06df9c03f57bbb8951ecdf5b4 | 2015-07-15 | 2016-04-05 | PG-PAI | Programa Población General | 425 | |
| 8,555 | 2,010 | CALO1**091980 | 60138201952fc0143e10fa9854eefb31 | 2010-10-18 | 2011-04-08 | PG-PAI | Programa Población General | 264 | |
| 50,049 | 2,014 | CAMA2**121978 | e814c4289b74a677d8981f5e76de54c5 | 2013-07-05 | 2014-02-03 | PG-PAI | Programa Población General | 347 | |
| 37,727 | 2,013 | CAMA2**121978 | e814c4289b74a677d8981f5e76de54c5 | 2013-03-18 | 2013-06-30 | M-PR | Programa Específico Mujeres | 345 | |
| 34,135 | 2,013 | CAMA2**121978 | f72c72568c1f0192aad400383de3b5d2 | 2012-10-24 | 2012-12-31 | M-PR | Programa Específico Mujeres | 345 | |
| 127,707 | 2,018 | CARA1**081991 | 7fe9f4b5b33f455706a5adb709bcb6dd | NA | 2017-05-24 | 2018-02-27 | PG-PAB | Programa Población General | 221 |
| 75,960 | 2,015 | CARA1**081991 | 98eb528e7390af045bf0c8dba6c235c9 | 2015-04-10 | 2015-08-05 | PG-PAB | Programa Población General | 256 | |
| 159,676 | 2,019 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | NA | 2019-07-30 | 2019-08-08 | PG-PR | Programa Población General | 258 |
| 149,958 | 2,019 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | NA | 2018-10-22 | 2019-03-18 | PG-PR | Programa Población General | 358 |
| 161,479 | 2,019 | CASI1**011993 | d31098d1e5e8a2f314177a9819a7b393 | NA | 2019-08-08 | NA | PG-PAB | Programa Población General | 664 |
| 139,280 | 2,018 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | NA | 2018-06-01 | 2018-10-17 | PG-PAI | Programa Población General | 427 |
| 97,195 | 2,016 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | 2016-05-16 | 2016-06-09 | PG-PR | Programa Población General | 258 | |
| 52,951 | 2,014 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | 2013-12-16 | 2014-05-14 | PG-PR | Programa Población General | 358 | |
| 45,417 | 2,013 | CASI1**011993 | 85431ccd9e5ecbeba44eb7f45f0330ad | 2013-10-28 | 2013-12-02 | PG-PAI | Programa Población General | 427 | |
| 136,204 | 2,018 | CASU1**031985 | 5b154119e9b87220b521806cbc168e6b | NA | 2018-03-28 | 2018-07-01 | PG-PAI | Programa Población General | 153 |
| 102,825 | 2,016 | CASU1**031985 | 5b154119e9b87220b521806cbc168e6b | 2016-10-13 | 2016-12-29 | PG-PAI | Programa Población General | 316 | |
| 25,330 | 2,012 | CASU1**031985 | 48273efe74abb8fb1f1fd743b10644ed | 2012-03-02 | 2012-07-02 | PG-PAI | Programa Población General | 153 | |
| 28,299 | 2,012 | CASU1**031985 | 5b154119e9b87220b521806cbc168e6b | 2012-02-28 | 2013-02-21 | PG-PAI | Programa Población General | 153 | |
| 158,796 | 2,019 | CAVA2**121997 | 2c87dde527677b5e51675993af541559 | NA | 2019-04-25 | NA | M-PAI | Programa Específico Mujeres | 290 |
| 131,483 | 2,018 | CAVA2**121997 | 0cec7a200488124671cc4a3ee2d14d3d | NA | 2017-11-27 | 2018-05-30 | M-PR | Programa Específico Mujeres | 302 |
| 131,027 | 2,018 | CHES1**101986 | 52a16cbe1dee6fbd3452549fd3b00ad5 | NA | 2017-11-21 | 2018-03-29 | PG-PR | Programa Población General | 297 |
| 67,357 | 2,015 | CHES1**101986 | 52a16cbe1dee6fbd3452549fd3b00ad5 | 2014-06-04 | 2015-06-12 | PG-PAB | Programa Población General | 161 | |
| 54,484 | 2,014 | CHES1**101986 | bc1f4e1c21a2bb07e175ccf51e842bf1 | 2014-02-19 | 2014-05-08 | PG-PAB | Programa Población General | 161 | |
| 21,054 | 2,012 | CLFE1**101958 | 7f4c0e99033e04ef1c99279faf3bcd79 | 2011-03-10 | 2012-07-13 | PG-PAB | Programa Población General | 225 | |
| 28,215 | 2,012 | CLFE1**101958 | 99fbdb676940259cedf31663170a1140 | 2011-03-07 | 2013-02-25 | PG-PAB | Programa Población General | 225 | |
| 38,118 | 2,013 | CLPA1**071970 | 458750d1dce6a844f63fc6bc37dd734a | 2013-03-28 | 2013-07-24 | PG-PAB | Programa Población General | 146 | |
| 30,577 | 2,012 | CLPA1**071970 | 558809e2ab590f9c40d1004b85e680c9 | 2012-10-16 | 2013-01-21 | PG-PAB | Programa Población General | 146 | |
| 137,914 | 2,018 | CLPI2**121969 | d157e041a1e2e1fc10385e60ecc0d87d | NA | 2018-05-30 | 2018-08-24 | PG-PAI | Programa Población General | 153 |
| 109,491 | 2,017 | CLPI2**121969 | ecb66b940fe7230e0af1af9d7c7cc8cf | NA | 2016-09-29 | 2017-10-01 | M-PR | Programa Específico Mujeres | 159 |
| 99,120 | 2,016 | CLPI2**121969 | ecb66b940fe7230e0af1af9d7c7cc8cf | 2016-06-23 | 2016-09-28 | PG-PAI | Programa Población General | 153 | |
| 71,452 | 2,015 | CLPI2**121969 | ecb66b940fe7230e0af1af9d7c7cc8cf | 2015-01-07 | 2015-04-23 | PG-PAB | Programa Población General | 153 | |
| 30,398 | 2,012 | COQU2**011990 | a7d9ac101685ed59e14ed905953cd76b | 2012-10-11 | 2012-11-12 | M-PR | Programa Específico Mujeres | 345 | |
| 29,431 | 2,012 | COQU2**011990 | f73a850d7ca2a3e34991d437922bce12 | 2012-08-17 | 2012-10-17 | PG-PAB | Programa Población General | 209 | |
| 94,140 | 2,016 | CRAL1**011980 | 80e0c1187da0abc82409f95f241e2350 | 2016-02-17 | 2016-09-01 | PG-PAI | Programa Población General | 409 | |
| 81,590 | 2,015 | CRAL1**011980 | bb59e16f29a42d9478a01ac1f058566e | 2015-09-08 | 2016-02-16 | PG-PAI | Programa Población General | 291 | |
| 159,208 | 2,019 | CRFU1**101982 | 91696ada1ee80c57393c582116cb810e | NA | 2019-07-01 | NA | PG-PAI | Programa Población General | 155 |
| 35,657 | 2,013 | CRFU1**101982 | 48e7ddf94e4188011aae5ce2c0f37739 | 2013-01-14 | 2014-01-01 | PG-PAI | Programa Población General | 200 | |
| 75,800 | 2,015 | CRLE1**111987 | 7261b97683549bd67b278c81a8c72e21 | 2015-04-27 | 2015-08-03 | PG-PAI | Programa Población General | 194 | |
| 71,154 | 2,015 | CRLE1**111987 | 7261b97683549bd67b278c81a8c72e21 | 2015-01-05 | 2015-04-01 | PG-PAI | Programa Población General | 194 | |
| 63,155 | 2,014 | CRLE1**111987 | bb14cffb5efc654e5c33c6f1bf564bdd | 2014-10-20 | 2014-12-12 | PG-PAI | Programa Población General | 194 | |
| 89,423 | 2,016 | CRRI1**121984 | ee90b0821b7b7f2549a9c398655d36bf | 2015-07-20 | 2017-01-02 | PG-PAI | Programa Población General | 272 | |
| 23,258 | 2,012 | CRRI1**121984 | 0bee5e6dda9a9304a51c7f90ee831155 | 512419b6f3c1efdf2b5796fa740cf6f0 | 2011-11-08 | 2012-05-31 | PG-PAB | Programa Población General | 242 |
| 109,631 | 2,017 | CRSA1**111984 | bf3bd47e954ff6c020c6d0ba2f77e3c2 | NA | 2016-09-12 | 2017-11-21 | PG-PAI | Programa Población General | 225 |
| 10,983 | 2,011 | CRSA1**111984 | 4ccba90b4def4f55ab5867e843ed1e0b | 2010-08-30 | 2011-07-01 | PG-PAB | Programa Población General | 225 | |
| 10,184 | 2,011 | CRSI1**011988 | 897b3e022f2e87988c9d4865dc1dd3c0 | 2010-02-10 | 2011-04-30 | PG-PR | Programa Población General | 117 | |
| 2,447 | 2,010 | CRSI1**011988 | 26bfec0fb9dadd4a35641df3119c6c44 | 2009-10-13 | 2010-02-08 | PG-PAI | Programa Población General | 109 | |
| 20,221 | 2,011 | CRTO1**061987 | 713440405f11b078a875de3980ad83de | 2011-11-24 | 2012-02-01 | PG-PAI | Programa Población General | 119 | |
| 14,783 | 2,011 | CRTO1**061987 | 9ccd67138857e273c6c6d391426b9fd3 | 2011-03-24 | 2011-10-01 | PG-PAI | Programa Población General | 119 | |
| 153,290 | 2,019 | CRVA1**091981 | 01c0bb4b342a90db0e2953edbb1fa034 | NA | 2019-02-13 | 2019-05-30 | PG-PAB | Programa Población General | 588 |
| 126,900 | 2,018 | CRVA1**091981 | 01c0bb4b342a90db0e2953edbb1fa034 | NA | 2017-03-13 | 2018-11-19 | PG-PAB | Programa Población General | 588 |
| 118,380 | 2,017 | CRVA1**091981 | c5e3acde9ece03866510277c6804ab37 | NA | 2017-05-15 | 2018-02-01 | PG-PAI | Programa Población General | 225 |
| 52,649 | 2,014 | CRVA1**091981 | c5e3acde9ece03866510277c6804ab37 | 2013-12-09 | 2014-03-20 | PG-PAB | Programa Población General | 225 | |
| 126,381 | 2,018 | CRVE1**061981 | cf8d4efa573a2b4240a95a28c7e8f78a | NA | 2016-11-01 | 2018-06-27 | PG-PAB | Programa Población General | 288 |
| 55,817 | 2,014 | CRVE1**061981 | ffd8afa60137cde2bdf00093f1cc809d | 2013-08-22 | 2014-04-25 | PG-PAB | Programa Población General | 151 | |
| 43,722 | 2,013 | CRVE1**061981 | ffd8afa60137cde2bdf00093f1cc809d | 2013-08-22 | 2013-12-18 | PG-PAB | Programa Población General | 151 | |
| 70,883 | 2,015 | DAAL1**081988 | 4ff78d5d4e653a289528aed8e50dfa17 | 2014-12-22 | 2015-09-23 | PG-PAI | Programa Población General | 417 | |
| 48,415 | 2,014 | DAAL1**081988 | 4ff78d5d4e653a289528aed8e50dfa17 | 2013-02-04 | 2014-04-29 | PG-PAI | Programa Población General | 417 | |
| 60,771 | 2,014 | DAAL1**081988 | 86e473061cb83d720f0c47d0773a0e7c | 2014-08-05 | 2015-01-01 | PG-PR | Programa Población General | 117 | |
| 161,091 | 2,019 | DAAR1**011980 | a6eb8d16a2cf4a1248bd8517d230d17b | NA | 2019-08-09 | NA | PG-PAI | Programa Población General | 246 |
| 90,109 | 2,016 | DAAR1**011980 | bf02a828b0db55c47af889845796cbd6 | 2015-10-14 | 2016-04-04 | PG-PAI | Programa Población General | 338 | |
| 68,819 | 2,015 | DAAR1**011980 | bf02a828b0db55c47af889845796cbd6 | 2014-09-01 | 2015-06-17 | PG-PAI | Programa Población General | 178 | |
| 112,290 | 2,017 | DAAR1**111980 | 93122ac95c2709272c01a4aa73c76c69 | NA | 2017-01-18 | 2017-07-11 | PG-PAB | Programa Población General | 367 |
| 27,140 | 2,012 | DAAR1**111980 | 0a57528397d14cdb39902ed43cb3fee2 | 2012-05-04 | 2012-07-30 | PG-PAB | Programa Población General | 238 | |
| 138,114 | 2,018 | DACE2**081979 | d23e9a7e17afa0907fb418c67cb2bfc0 | NA | 2018-04-06 | 2018-10-31 | PG-PAI | Programa Población General | 366 |
| 87,521 | 2,016 | DACE2**081979 | d064b5c83b804f09489e4dfd020fe2e1 | 2015-05-04 | 2016-12-01 | PG-PAI | Programa Población General | 366 | |
| 116,303 | 2,017 | DAIB1**121992 | a30b08e11e32dc56af71943092265a81 | NA | 2017-03-14 | 2017-06-29 | PG-PAB | Programa Población General | 218 |
| 73,553 | 2,015 | DAIB1**121992 | 2fdf6bf2791696652615b7cd9157ea81 | 2015-02-02 | 2015-05-04 | PG-PAI | Programa Población General | 218 | |
| 75,325 | 2,015 | DAIB1**121992 | a30b08e11e32dc56af71943092265a81 | 2015-04-20 | 2015-05-07 | PG-PR | Programa Población General | 214 | |
| 67,258 | 2,015 | DAOR1**041981 | 01a7c48fcbfca888c3c522b7a47f39b3 | 2014-05-30 | 2015-02-02 | PG-PAI | Programa Población General | 412 | |
| 56,458 | 2,014 | DAOR1**041981 | 01a7c48fcbfca888c3c522b7a47f39b3 | 2014-04-10 | 2014-05-12 | PG-PR | Programa Población General | 354 | |
| 55,032 | 2,014 | DAOR1**041981 | 07ce467448db22d7b9d799f065d2f2cd | 2014-02-19 | 2014-04-07 | PG-PAI | Programa Población General | 412 | |
| 79,488 | 2,015 | DASA1**041973 | 811c5956ea4f0842b8d734e07ca8c585 | 2015-07-07 | 2015-09-30 | PG-PAB | Programa Población General | 619 | |
| 74,721 | 2,015 | DASA1**041973 | c06d72d711b66cc81161c1883c597002 | 2015-04-01 | 2015-06-19 | PG-PAI | Programa Población General | 619 | |
| 34,270 | 2,013 | EDCA1**051986 | 52331a0049fac414b12911eda0af70d1 | 2012-09-26 | 2013-04-16 | PG-PAB | Programa Población General | 287 | |
| 17,546 | 2,011 | EDCA1**051986 | 7610a234326510fae46a14e48d9ae0dd | 2011-07-29 | 2011-09-30 | PG-PAI | Programa Población General | 283 | |
| 60,222 | 2,014 | EDME1**021984 | 4855fdeb1e04a9e2e57f9dbf90df0ab5 | 2014-01-02 | 2014-11-12 | PG-PAB | Programa Población General | 295 | |
| 45,497 | 2,013 | EDME1**021984 | 1a921a2159e48c8006ec8f5db631a3bb | 2013-10-21 | 2013-11-22 | PG-PAI | Programa Población General | 445 | |
| 159,515 | 2,019 | EDNU1**111981 | abbaf78e8cc375abbb1ff35def4e7a26 | NA | 2019-07-23 | NA | PG-PR | Programa Población General | 104 |
| 15,348 | 2,011 | EDNU1**111981 | abbaf78e8cc375abbb1ff35def4e7a26 | 2011-04-12 | 2011-06-10 | PG-PR | Programa Población General | 104 | |
| 6,605 | 2,010 | EDNU1**111981 | a6dc1eaca7db221cbf67c99215ff5b9b | 2010-07-19 | 2010-11-29 | PG-PR | Programa Población General | 104 | |
| 105,967 | 2,017 | EDTE1**101962 | 08bf06a240115c54e3aa9644d6f71210 | NA | 2015-10-25 | 2017-01-05 | PG-PAB | Programa Población General | 402 |
| 69,794 | 2,015 | EDTE1**101962 | 597993321f66ef2761b920260aa26e91 | 2014-11-19 | 2015-09-07 | PG-PAB | Programa Población General | 402 | |
| 148,705 | 2,019 | ELBA2**031985 | f47b9efc124bdef08b9c755680538408 | NA | 2018-08-14 | 2019-06-14 | PG-PAI | Programa Población General | 272 |
| 133,785 | 2,018 | ELBA2**031985 | f47b9efc124bdef08b9c755680538408 | NA | 2018-02-14 | 2018-08-10 | M-PR | Programa Específico Mujeres | 277 |
| 130,789 | 2,018 | ELBA2**031985 | f47b9efc124bdef08b9c755680538408 | NA | 2017-10-31 | 2018-02-13 | PG-PAI | Programa Población General | 272 |
| 90,164 | 2,016 | ELBA2**031985 | 0a5c569599667e08cb0043308f70058a | 2015-10-22 | 2016-11-17 | PG-PAB | Programa Población General | 622 | |
| 71,630 | 2,015 | ELBA2**031985 | f47b9efc124bdef08b9c755680538408 | 2014-12-29 | 2015-03-05 | M-PR | Programa Específico Mujeres | 258 | |
| 64,208 | 2,014 | ELBA2**031985 | f47b9efc124bdef08b9c755680538408 | 2014-11-10 | 2015-01-26 | PG-PAB | Programa Población General | 260 | |
| 108,512 | 2,017 | ELJA2**081974 | 9093e13be3fa0750a8df5e8ca8c6309e | NA | 2016-08-09 | 2017-07-19 | M-PAI | Programa Específico Mujeres | 291 |
| 25,824 | 2,012 | ELJA2**081974 | 0d614b206ae4a2527cf05e6c8cb10965 | 2012-03-20 | 2012-09-10 | PG-PAB | Programa Población General | 291 | |
| 18,428 | 2,011 | ELJA2**081974 | 0d614b206ae4a2527cf05e6c8cb10965 | 2011-08-22 | 2012-03-01 | PG-PAI | Programa Población General | 291 | |
| 138,461 | 2,018 | ENRI1**021985 | 30da8090d1a21cfa15983ba093504bb9 | NA | 2018-06-11 | 2018-11-22 | PG-PAB | Programa Población General | 679 |
| 109,408 | 2,017 | ENRI1**021985 | 5666dcb7e87ff94f0c233544cceb702e | NA | 2016-09-13 | 2017-05-03 | PG-PR | Programa Población General | 662 |
| 97,128 | 2,016 | ENRI1**021985 | 5666dcb7e87ff94f0c233544cceb702e | 2016-05-02 | 2016-09-11 | PG-PAI | Programa Población General | 194 | |
| 59,296 | 2,014 | ERCE1**091970 | c9fea4a59452ff595013ca3d4d2e8e44 | 2014-06-16 | 2014-09-30 | PG-PAB | Programa Población General | 206 | |
| 24,807 | 2,012 | ERCE1**091970 | 3f99d975d4890ff5fa7cfad26a89eac3 | 2012-02-28 | 2012-05-25 | Otro | Programa Población General | 141 | |
| 90,040 | 2,016 | EVJA2**031979 | fc8f44e7093f8dd143e287d87a164863 | 2015-10-25 | 2016-07-21 | PG-PAB | Programa Población General | 402 | |
| 59,533 | 2,014 | EVJA2**031979 | 27c698e4e803f1f3d673331339b1068b | 2014-07-07 | 2015-02-18 | PG-PAB | Programa Población General | 402 | |
| 16,834 | 2,011 | EVJA2**031979 | fc8f44e7093f8dd143e287d87a164863 | 2011-06-01 | 2011-12-30 | PG-PAB | Programa Población General | 170 | |
| 6,504 | 2,010 | EVJA2**031979 | fc8f44e7093f8dd143e287d87a164863 | 2010-07-28 | 2010-10-29 | PG-PAB | Programa Población General | 123 | |
| 49,659 | 2,014 | FAMU2**011975 | 137e8525aa3f79235fa8ad90913fdcbe | 2013-07-03 | 2014-06-01 | PG-PAI | Programa Población General | 139 | |
| 59,488 | 2,014 | FAMU2**011975 | 5c0a6326fc4536f50fc5ec1c53563d93 | 2014-06-03 | 2014-07-29 | PG-PAI | Programa Población General | 139 | |
| 149,995 | 2,019 | FECA1**091985 | e597363070e9142296b87b10befb9897 | NA | 2018-10-01 | 2019-08-01 | PG-PAI | Programa Población General | 443 |
| 69,073 | 2,015 | FECA1**091985 | d17df8239a0c9b74b4c6c0751f53500f | 2014-09-29 | 2015-01-28 | PG-PAI | Programa Población General | 105 | |
| 156,483 | 2,019 | FEMO1**071983 | a4c5fa0b4be884b8f3c5b99e15a15224 | NA | 2019-04-08 | 2019-08-23 | PG-PAI | Programa Población General | 239 |
| 72,160 | 2,015 | FEMO1**071983 | 3c4c58f2365b169fbed6761a9881dff8 | 2015-01-05 | 2015-06-29 | PG-PAB | Programa Población General | 239 | |
| 52,611 | 2,014 | FEMO1**071983 | 3c4c58f2365b169fbed6761a9881dff8 | 2013-12-10 | 2014-03-04 | PG-PAI | Programa Población General | 266 | |
| 147,082 | 2,019 | FRCA1**031989 | ae9103ca5fa7cc3ac64074711d825d2a | NA | 2018-04-02 | 2019-02-21 | PG-PAI | Programa Población General | 119 |
| 129,185 | 2,018 | FRCA1**031989 | fd436806b9f7ed5cdf23dda329360906 | NA | 2017-08-23 | 2018-04-27 | PG-PAI | Programa Población General | 200 |
| 151,910 | 2,019 | FRSA2**081989 | 1bd70502375b686424f80b338b2ab3ac | NA | 2019-01-15 | 2019-10-30 | PG-PAI | Programa Población General | 259 |
| 107,477 | 2,017 | FRSA2**081989 | 0e95c1ddfb98bf1d4d4a4315839f8493 | NA | 2016-05-03 | 2017-02-28 | PG-PAB | Programa Población General | 427 |
| 91,378 | 2,016 | FRSA2**081989 | 1bd70502375b686424f80b338b2ab3ac | 2015-11-11 | 2016-02-01 | PG-PAB | Programa Población General | 253 | |
| 22,417 | 2,012 | GECA1**071972 | 077ace66f3c06f98bad5768c794868cc | 2011-09-07 | 2012-02-02 | PG-PR | Programa Población General | 258 | |
| 26,849 | 2,012 | GECA1**071972 | fa3678a586f6b33917e7a08fecd5dcec | 2012-04-09 | 2013-01-01 | PG-PAI | Programa Población General | 288 | |
| 48,344 | 2,014 | GLPI2**081964 | 54d05d802656b0ffd3a4cb836c7d68ad | 2012-10-09 | 2014-04-17 | M-PR | Programa Población General | 358 | |
| 57,723 | 2,014 | GLPI2**081964 | ccec1a7f92fbac80dea59ad0c74b1be6 | 2014-03-21 | 2014-08-01 | PG-PAI | Programa Población General | 148 | |
| 30,644 | 2,012 | GLPI2**081964 | 54d05d802656b0ffd3a4cb836c7d68ad | 2012-10-09 | 2013-02-04 | M-PR | Programa Específico Mujeres | 147 | |
| 21,583 | 2,012 | GLPI2**081964 | ccec1a7f92fbac80dea59ad0c74b1be6 | 2011-06-22 | 2012-06-21 | PG-PAI | Programa Población General | 148 | |
| 153,713 | 2,019 | GOMA1**051992 | 4ba662d94b16171a296b25d6db70b05e | NA | 2019-02-01 | 2019-03-01 | PG-PAI | Programa Población General | 202 |
| 123,034 | 2,017 | GOMA1**051992 | 4ba662d94b16171a296b25d6db70b05e | NA | 2017-10-19 | 2017-11-13 | PG-PAI | Programa Población General | 202 |
| 59,466 | 2,014 | GOMA1**051992 | 1fe82167c2986b55a88b86576921929a | 2014-07-01 | 2015-01-27 | PG-PAB | Programa Población General | 489 | |
| 123,556 | 2,017 | HECA1**011972 | 1c1725384faa76d34a4abd6ef73c728f | NA | 2017-10-30 | 2017-11-13 | PG-PAI | Programa Población General | 202 |
| 72,485 | 2,015 | HECA1**011972 | a2ba02fabeda026c2e3afb480f669539 | 2015-02-04 | 2015-04-30 | PG-PAI | Programa Población General | 320 | |
| 51,148 | 2,014 | HEGO1**011977 | b420a95df6cf200819d41429beb1e1a1 | 2013-10-16 | 2014-11-28 | PG-PAI | Programa Población General | 133 | |
| 45,164 | 2,013 | HEGO1**011977 | 5ff96261e1817092436a56dd50323a24 | 2013-10-16 | 2013-10-16 | PG-PAI | Programa Población General | 133 | |
| 116,520 | 2,017 | HEGO1**051978 | adb924e11ed52eac1f7491f9f72fced2 | NA | 2017-05-01 | 2017-09-01 | PG-PAI | Programa Población General | 264 |
| 88,994 | 2,016 | HEGO1**051978 | 1dabf61d7e598ac21847d59ccc92c7f7 | 2015-08-26 | 2016-01-07 | PG-PAB | Programa Población General | 195 | |
| 114,727 | 2,017 | HEIB1**071964 | fa1e5214266eb555c05bb64e1605e956 | NA | 2017-03-28 | 2017-09-12 | PG-PAI | Programa Población General | 619 |
| 89,466 | 2,016 | HEIB1**071964 | fa1e5214266eb555c05bb64e1605e956 | 2015-09-28 | 2016-06-30 | PG-PAI | Programa Población General | 619 | |
| 21,741 | 2,012 | HEIB1**071964 | 37450c37e69c08f1bbbcfcff110864cd | 2011-07-22 | 2012-05-30 | PG-PAB | Programa Población General | 192 | |
| 145,722 | 2,019 | HESA1**091963 | c979c5dbb8449c6cda379abe23f21c43 | NA | 2015-11-18 | 2019-07-08 | PG-PAI | Programa Población General | 149 |
| 129,396 | 2,018 | HESA1**091963 | d8b3f93362df98c761aed33c8974e200 | NA | 2017-09-06 | 2018-08-11 | PG-PAB | Programa Población General | 418 |
| 23,122 | 2,012 | HESO1**091981 | 2604ae4f16cb1b1c29ccb7bcad79e684 | 2011-11-04 | 2012-02-07 | PG-PAI | Programa Población General | 202 | |
| 24,525 | 2,012 | HESO1**091981 | c7e76a2eaba41dd64ca7ef7f0aa74554 | 2011-11-04 | 2012-01-31 | PG-PAI | Programa Población General | 202 | |
| 17,818 | 2,011 | HESO1**091981 | c7e76a2eaba41dd64ca7ef7f0aa74554 | 2011-08-17 | 2011-09-21 | PG-PR | Programa Población General | 215 | |
| 95,635 | 2,016 | HEYA1**121986 | f9d432b4b3cbdb24451c9b880fe27fb6 | 2016-03-30 | 2016-07-01 | PG-PAB | Programa Población General | 616 | |
| 26,483 | 2,012 | HEYA1**121986 | 1785d29d4639006b5202226a0c87e06d | 2012-04-13 | 2012-07-31 | PG-PAI | Programa Población General | 141 | |
| 74,795 | 2,015 | INSA2**051982 | 1e27aa71e1be4fa70fb5693a41711520 | 2015-03-09 | 2015-06-01 | M-PAI | Programa Específico Mujeres | 342 | |
| 70,396 | 2,015 | INSA2**051982 | e2ee10c1b46325756215769dc100d421 | 2014-12-04 | 2015-01-27 | M-PAI | Programa Específico Mujeres | 342 | |
| 62,093 | 2,014 | INSA2**051982 | 1e27aa71e1be4fa70fb5693a41711520 | 2014-09-08 | 2014-11-27 | PG-PAI | Programa Población General | 182 | |
| 90,532 | 2,016 | IVGO2**051991 | 1aa8545cc91d2060c66fcfe7f1df0f70 | 2015-10-15 | 2016-08-18 | PG-PAI | Programa Población General | 155 | |
| 92,444 | 2,016 | IVGO2**051991 | ca3dcfc02ed5a67095635164ce82a783 | 2016-01-19 | 2016-01-23 | M-PR | Programa Específico Mujeres | 159 | |
| 73,462 | 2,015 | IVGO2**051991 | 1aa8545cc91d2060c66fcfe7f1df0f70 | 2015-03-12 | 2015-05-27 | Otro | Otro | 146 | |
| 59,427 | 2,014 | JACA1**051975 | cdb1d1ac6e0fa9bece458d49fbb3aec5 | 2014-06-30 | 2014-10-02 | PG-PAI | Programa Población General | 557 | |
| 4,273 | 2,010 | JACA1**051975 | ec211ec3747855b4001862f179ac47a7 | 2009-05-13 | 2010-09-05 | PG-PR | Programa Población General | 247 | |
| 141,074 | 2,018 | JAGO1**051976 | 023439710dab5ef09981e13b07246470 | NA | 2018-07-12 | 2019-01-01 | PG-PAB | Programa Población General | 290 |
| 100,878 | 2,016 | JAGO1**051976 | 794e395c84871b1c4a1428bf5b3fa092 | 2016-08-18 | 2016-11-14 | PG-PAB | Programa Población General | 290 | |
| 151,968 | 2,019 | JAJA1**051971 | 7b31396b456c31f2c7b4bf3290ee0201 | NA | 2018-12-12 | NA | PG-PAI | Programa Población General | 251 |
| 23,376 | 2,012 | JAJA1**051971 | 685e8dd1874d8a5150cec01e8d5fc5cf | 2011-12-09 | 2012-09-07 | PG-PR | Programa Población General | 273 | |
| 19,487 | 2,011 | JAJA1**051971 | 7b31396b456c31f2c7b4bf3290ee0201 | 2011-10-04 | 2011-12-09 | PG-PR | Programa Población General | 266 | |
| 122,496 | 2,017 | JARO1**081988 | af4447f8450791fd08c6bd2197242956 | NA | 2017-09-05 | 2017-10-26 | PG-PAI | Programa Población General | 191 |
| 53,456 | 2,014 | JARO1**081988 | 0ee80822ed621131693f2718f7ea30ee | 2014-01-20 | 2014-09-19 | PG-PAI | Programa Población General | 191 | |
| 131,456 | 2,018 | JOAL1**091981 | 1eefd63ed4712067b44b308941e8e10b | NA | 2017-11-20 | 2018-05-04 | PG-PAI | Programa Población General | 182 |
| 72,239 | 2,015 | JOAL1**091981 | bae26bc2c87f1ca969aaca4615441aec | 2015-01-01 | 2015-04-13 | PG-PR | Programa Población General | 643 | |
| 67,084 | 2,015 | JOAL1**091981 | bae26bc2c87f1ca969aaca4615441aec | 2014-05-15 | 2014-12-31 | PG-PR | Programa Población General | 216 | |
| 50,765 | 2,014 | JOAL1**091981 | bae26bc2c87f1ca969aaca4615441aec | 2013-09-13 | 2014-02-28 | PG-PAI | Programa Población General | 443 | |
| 24,510 | 2,012 | JOAL1**091981 | bae26bc2c87f1ca969aaca4615441aec | 2011-06-02 | 2012-03-05 | PG-PAI | Programa Población General | 164 | |
| 21,664 | 2,012 | JOAL1**091981 | bae26bc2c87f1ca969aaca4615441aec | 2011-06-02 | 2012-01-01 | PG-PAI | Programa Población General | 325 | |
| 91,121 | 2,016 | JOAL1**121984 | f6fb4fdd4e448d7ee33f42f2204fb6cb | 2015-07-03 | 2016-09-01 | PG-PAI | Programa Población General | 353 | |
| 10,499 | 2,011 | JOAL1**121984 | 114686b8ca03065aba1524665575a85a | 2010-05-11 | 2011-02-25 | PG-PAI | Programa Población General | 133 | |
| 131,769 | 2,018 | JOAR1**101981 | 904aa98b2445a67969c4095ac7b489db | NA | 2017-12-11 | 2018-11-02 | PG-PAB | Programa Población General | 290 |
| 101,152 | 2,016 | JOAR1**101981 | 51d6c6d1d2948d1c7264532b1dfcc85c | 2016-08-23 | 2016-09-12 | PG-PR | Programa Población General | 297 | |
| 91,908 | 2,016 | JOAR1**101981 | 51d6c6d1d2948d1c7264532b1dfcc85c | 2015-12-10 | 2016-04-22 | PG-PAB | Programa Población General | 588 | |
| 90,362 | 2,016 | JOAR1**101981 | 904aa98b2445a67969c4095ac7b489db | 2015-09-11 | 2016-11-01 | PG-PAI | Programa Población General | 430 | |
| 65,356 | 2,015 | JOBA1**031980 | df5122bd4f634e249b479f91c0c4d3c4 | 2012-05-08 | 2015-07-01 | PG-PAI | Programa Población General | 299 | |
| 25,406 | 2,012 | JOBA1**031980 | 1712e95471064610044ed3a94c562a4e | 2012-03-02 | 2012-04-12 | PG-PR | Programa Población General | 303 | |
| 21,407 | 2,012 | JOBA1**031980 | df5122bd4f634e249b479f91c0c4d3c4 | 2011-05-13 | 2012-03-02 | PG-PAI | Programa Población General | 299 | |
| 147,814 | 2,019 | JOCA1**031981 | 3271775f2afe6cc253edbe1cc0e15556 | NA | 2018-06-01 | 2019-07-17 | PG-PAI | Programa Población General | 229 |
| 154,904 | 2,019 | JOCA1**031981 | 86bfb035aa9afb9fb0dbcfbabc4448a1 | NA | 2019-03-05 | NA | PG-PAI | Programa Población General | 238 |
| 142,908 | 2,018 | JOCA1**031981 | 86bfb035aa9afb9fb0dbcfbabc4448a1 | NA | 2018-10-04 | 2018-12-01 | PG-PAB | Programa Población General | 238 |
| 159,845 | 2,019 | JOCA1**121975 | e8627fd9ad83afc33a245abbeb81538e | NA | 2019-05-06 | NA | PG-PAB | Programa Población General | 233 |
| 55,140 | 2,014 | JOCA1**121975 | 3761ccd5f7c173671e13c88851fc3177 | 2014-02-27 | 2014-08-04 | PG-PAB | Programa Población General | 146 | |
| 150,502 | 2,019 | JOCA1**111977 | bcdd4190615ed413bde8e8fc7cb3d52d | NA | 2018-11-19 | 2019-02-01 | PG-PAI | Programa Población General | 131 |
| 37,895 | 2,013 | JOCA1**111977 | 0331102e812b1d4fd83dc0b798fcec9e | 2013-03-11 | 2013-05-28 | PG-PAB | Programa Población General | 294 | |
| 148,613 | 2,019 | JOCA1**071984 | 3f5d3ee9923eb216d2d99fe4853b14cb | NA | 2018-07-13 | 2019-08-19 | PG-PAI | Programa Población General | 281 |
| 123,943 | 2,017 | JOCA1**071984 | 3f5d3ee9923eb216d2d99fe4853b14cb | NA | 2017-09-29 | 2017-12-04 | PG-PAI | Programa Población General | 281 |
| 114,352 | 2,017 | JOCA1**071984 | 3f5d3ee9923eb216d2d99fe4853b14cb | NA | 2017-03-15 | 2017-05-02 | PG-PR | Programa Población General | 258 |
| 87,346 | 2,016 | JOCA1**071984 | 3587a045ae3d9871796748d778c35285 | 2015-04-27 | 2017-02-01 | PG-PAB | Programa Población General | 161 | |
| 56,316 | 2,014 | JOCA1**071984 | 3587a045ae3d9871796748d778c35285 | 2014-04-02 | 2014-09-04 | PG-PAB | Programa Población General | 161 | |
| 6,259 | 2,010 | JOCA1**071984 | 3587a045ae3d9871796748d778c35285 | 2010-06-11 | 2011-02-07 | PG-PAB | Programa Población General | 295 | |
| 155,402 | 2,019 | JOCO1**061985 | 08bba4c9f792ae4f85844d0c975ebb8c | NA | 2019-03-01 | 2019-08-01 | PG-PAB | Programa Población General | 249 |
| 24,306 | 2,012 | JOCO1**061985 | 3d6d19dd5b100a8e29c7579a8cca6f94 | 2012-01-27 | 2012-03-01 | PG-PR | Programa Población General | 183 | |
| 21,977 | 2,012 | JOCO1**061985 | 3d6d19dd5b100a8e29c7579a8cca6f94 | 2011-08-18 | 2012-01-26 | PG-PAI | Programa Población General | 200 | |
| 34,623 | 2,013 | JOCO1**071985 | 4f25c0479819295e1c1e8ae1fe2e5ce8 | 2012-10-23 | 2013-07-01 | PG-PAI | Programa Población General | 115 | |
| 25,391 | 2,012 | JOCO1**071985 | 0ea5eaf9305ba7bace012a4ab00bbc60 | 2012-03-12 | 2012-06-19 | PG-PAI | Programa Población General | 290 | |
| 1,819 | 2,010 | JOCO1**071985 | 0ea5eaf9305ba7bace012a4ab00bbc60 | 2010-01-04 | 2010-05-24 | PG-PR | Programa Población General | 266 | |
| 157,858 | 2,019 | JOES1**121988 | de16311fd41ac2b7c3d5c756a31dfc1f | NA | 2019-06-03 | 2019-08-13 | PG-PR | Programa Población General | 341 |
| 96,776 | 2,016 | JOES1**121988 | ae23b864325fd495220f016f3fc6dfb1 | 2016-04-21 | 2016-09-26 | PG-PAB | Programa Población General | 157 | |
| 66,257 | 2,015 | JOFE2**121981 | e7a032596cca2b837acde57c7a9f1a42 | 2014-01-03 | 2015-01-26 | PG-PAI | Programa Población General | 445 | |
| 42,050 | 2,013 | JOFE2**121981 | 14e08d6f48cc5502ef126ed1230b6932 | 2013-07-01 | 2013-09-30 | PG-PAI | Programa Población General | 187 | |
| 133,621 | 2,018 | JOGO1**021983 | f3efb9e8f7e1249bd9510d98b9853c35 | NA | 2017-10-31 | 2018-11-29 | PG-PAB | Programa Población General | 489 |
| 71,701 | 2,015 | JOGO1**021983 | 5d86882823002dc616ea8dfd1688ac8c | 2015-01-27 | 2015-03-09 | PG-PR | Programa Población General | 147 | |
| 154,090 | 2,019 | JOHE1**091987 | b0cae0c28967b5a327664c09541ab767 | NA | 2019-02-28 | 2019-03-08 | PG-PR | Programa Población General | 682 |
| 138,424 | 2,018 | JOHE1**091987 | b0cae0c28967b5a327664c09541ab767 | NA | 2018-06-07 | 2018-11-30 | PG-PAI | Programa Población General | 205 |
| 116,404 | 2,017 | JOHE1**091987 | b0cae0c28967b5a327664c09541ab767 | NA | 2017-04-03 | 2017-09-01 | PG-PAB | Programa Población General | 206 |
| 23,832 | 2,012 | JOHE1**091987 | 6181114c11d3a3a9809cab3dfc1d37db | 2012-01-09 | 2012-05-30 | PG-PAB | Programa Población General | 259 | |
| 10,717 | 2,011 | JOHE1**091987 | 6181114c11d3a3a9809cab3dfc1d37db | 2010-05-25 | 2011-01-04 | PG-PAI | Programa Población General | 259 | |
| 157,904 | 2,019 | JOMA1**011983 | 9de12e614d4ccc1272c4c463026718fa | NA | 2018-06-06 | NA | Otro | Otro | 149 |
| 93,847 | 2,016 | JOMA1**011983 | dee098d57fe340a2f2e97666898937b8 | 2016-02-02 | 2016-03-03 | PG-PAI | Programa Población General | 133 | |
| 66,840 | 2,015 | JOMA1**011983 | dee098d57fe340a2f2e97666898937b8 | 2014-03-26 | 2015-01-29 | PG-PAI | Programa Población General | 133 | |
| 96,856 | 2,016 | JOMO1**121969 | a485d5b6c980d635c13810d063c941a7 | 2016-05-04 | 2017-01-26 | PG-PAB | Programa Población General | 261 | |
| 10,779 | 2,011 | JOMO1**121969 | 7022437d5a1bb1a57797d1734ed623c5 | 2010-07-26 | 2011-05-02 | PG-PR | Programa Población General | 193 | |
| 162,281 | 2,019 | JOMU1**121972 | 16b7481c798195b20ae8863b240682a8 | NA | 2019-10-01 | NA | PG-PR | Programa Población General | 341 |
| 150,791 | 2,019 | JOMU1**121972 | 16b7481c798195b20ae8863b240682a8 | NA | 2018-11-14 | 2019-10-04 | PG-PAI | Programa Población General | 221 |
| 135,416 | 2,018 | JOMU1**121972 | 16b7481c798195b20ae8863b240682a8 | NA | 2018-03-28 | 2018-09-03 | PG-PAI | Programa Población General | 221 |
| 5,621 | 2,010 | JOMU1**121972 | de4725df680e62e51a7f870e239c562b | 2010-05-10 | 2010-09-15 | PG-PAB | Programa Población General | 112 | |
| 150,310 | 2,019 | JOPA1**081968 | 5d501047958f5389bbe8d5e0287c4758 | NA | 2018-11-12 | 2019-04-01 | PG-PAB | Programa Población General | 249 |
| 71,413 | 2,015 | JOPA1**081968 | 12ddb41e78d649482b559b5d2b36f284 | 2015-01-29 | 2015-03-04 | PG-PAI | Programa Población General | 590 | |
| 53,738 | 2,014 | JOPA1**081968 | 12ddb41e78d649482b559b5d2b36f284 | 2014-01-30 | 2015-01-29 | PG-PAI | Programa Población General | 218 | |
| 154,404 | 2,019 | JOPA1**111988 | 433127a150dc9ba21ad5d52defb1d219 | NA | 2019-03-11 | NA | PG-PAI | Programa Población General | 259 |
| 71,094 | 2,015 | JOPA1**111988 | 5c9ea36a8b05e91dcb007117991acd73 | 2015-01-15 | 2015-06-16 | PG-PAB | Programa Población General | 367 | |
| 46,303 | 2,013 | JOPA1**111988 | 5c9ea36a8b05e91dcb007117991acd73 | 2013-11-05 | 2014-01-16 | PG-PAB | Programa Población General | 367 | |
| 60,203 | 2,014 | JOPA1**091969 | 4f3873a0eab919f6c0e806513f1a6f85 | 2014-07-01 | 2014-08-28 | PG-PR | Programa Población General | 354 | |
| 59,067 | 2,014 | JOPA1**091969 | b37dbe01ed888d49ed98af881bdb4f69 | 2014-06-28 | 2014-06-29 | PG-PR | Programa Población General | 354 | |
| 96,965 | 2,016 | JOPE1**121987 | d6d95254e3bf331369ced85d21021801 | 2016-05-16 | 2016-10-27 | PG-PAI | Programa Población General | 172 | |
| 70,822 | 2,015 | JOPE1**121987 | 87a7f7dbef9ef815fae6bf31f9b03873 | 2014-12-17 | 2015-03-30 | PG-PAB | Programa Población General | 253 | |
| 148,471 | 2,019 | JOPI1**111990 | 0467a46e6054c06558c042416ee9af05 | NA | 2018-06-04 | 2019-08-01 | PG-PAB | Programa Población General | 292 |
| 20,391 | 2,011 | JOPI1**111990 | 0467a46e6054c06558c042416ee9af05 | 2011-12-05 | 2012-04-02 | PG-PAB | Programa Población General | 294 | |
| 16,233 | 2,011 | JOPI1**111990 | 6fa4bbf10b5e56dd446d30cf91a325f7 | 2011-05-17 | 2011-07-29 | PG-PAI | Programa Población General | 141 | |
| 142,723 | 2,018 | JORI1**091980 | 6f70eaef562e5ab63c605601777a909b | NA | 2018-09-03 | 2018-11-30 | PG-PAI | Programa Población General | 430 |
| 8,585 | 2,010 | JORI1**091980 | 1be5d02a36f43f65cb2120a4c84d8584 | 2010-09-09 | 2010-11-23 | PG-PAB | Programa Población General | 175 | |
| 41,530 | 2,013 | JORO1**031986 | e00a2a492eaf389e41232d0bc0737717 | 2013-05-30 | 2013-11-29 | PG-PAI | Programa Población General | 295 | |
| 6,261 | 2,010 | JORO1**031986 | 7abf1cfd436092bc7e7aa5be7b978dcd | 2010-06-02 | 2011-02-07 | PG-PAB | Programa Población General | 295 | |
| 108,208 | 2,017 | JOSA1**031988 | 930a6e27654cfb0a5927b280ba0b1795 | NA | 2016-07-20 | 2017-02-06 | PG-PAI | Programa Población General | 327 |
| 72,826 | 2,015 | JOSA1**031988 | 930a6e27654cfb0a5927b280ba0b1795 | 2015-02-13 | 2015-07-01 | PG-PR | Programa Población General | 117 | |
| 67,696 | 2,015 | JOSA1**031988 | 930a6e27654cfb0a5927b280ba0b1795 | 2014-07-02 | 2015-02-13 | PG-PAI | Programa Población General | 327 | |
| 32,805 | 2,013 | JOSA1**031988 | a435cf35e66462767723e1afc3be0585 | 2012-04-25 | 2013-01-04 | PG-PAI | Programa Población General | 182 | |
| 146,185 | 2,019 | JOSA1**121979 | 187778b0c0fa76dd4084166f0870bc3c | NA | 2017-10-05 | 2019-01-07 | PG-PR | Programa Población General | 147 |
| 116,037 | 2,017 | JOSA1**121979 | 3b0c02f12da06964374c73781e3d5e87 | NA | 2017-04-12 | 2017-08-31 | PG-PAI | Programa Población General | 141 |
| 53,215 | 2,014 | JOSE1**121969 | 50dedff4a9cef60b26cd7ae0fa6cdc61 | 2014-01-16 | 2014-06-30 | PG-PAB | Programa Población General | 204 | |
| 10,231 | 2,011 | JOSE1**121969 | 3d231e88b6088648cd370ad26d37d4a1 | 2010-03-17 | 2011-06-01 | PG-PAB | Programa Población General | 157 | |
| 147,704 | 2,019 | JOSO1**021963 | b654578dfad0940dd3e04fe919293ac6 | NA | 2018-06-12 | 2019-04-01 | PG-PAB | Programa Población General | 465 |
| 132,540 | 2,018 | JOSO1**021963 | ba991bc2cee3c621887c98329f905177 | NA | 2018-01-22 | 2018-05-01 | PG-PAI | Programa Población General | 272 |
| 78,427 | 2,015 | JOVA1**011989 | 940b0a44b00b586f83f685adb757d7b2 | 2015-06-22 | 2016-08-25 | PG-PAB | Programa Población General | 614 | |
| 38,426 | 2,013 | JOVA1**011989 | 69771813a8149626736aa98cf52b69ff | 2013-03-28 | 2013-07-05 | PG-PAB | Programa Población General | 112 | |
| 153,118 | 2,019 | JOVA1**011980 | a64fc3743e866d23d9b6db65cdba80a4 | NA | 2019-01-15 | 2019-04-01 | PG-PAB | Programa Población General | 754 |
| 122,060 | 2,017 | JOVA1**011980 | a64fc3743e866d23d9b6db65cdba80a4 | NA | 2017-09-04 | 2018-01-31 | PG-PAB | Programa Población General | 681 |
| 109,460 | 2,017 | JOVA1**011980 | a64fc3743e866d23d9b6db65cdba80a4 | NA | 2016-09-01 | 2017-02-28 | PG-PAI | Programa Población General | 185 |
| 87,606 | 2,016 | JOVA1**011980 | a64fc3743e866d23d9b6db65cdba80a4 | 2015-06-01 | 2016-03-11 | PG-PAI | Programa Población General | 185 | |
| 57,085 | 2,014 | JOVA1**011980 | 724c6db5be9d245eb66b369a718079c6 | 2014-04-22 | 2014-05-27 | PG-PAB | Programa Población General | 146 | |
| 113,460 | 2,017 | JOVE1**081991 | c9f952074b60cc36f713b80c87cd9bce | NA | 2017-01-30 | 2017-04-25 | PG-PAB | Programa Población General | 298 |
| 24,723 | 2,012 | JOVE1**081991 | ed83d7ef49f5052913ae7aeeb143e0dc | 2012-02-23 | 2013-01-29 | PG-PAB | Programa Población General | 368 | |
| 159,175 | 2,019 | JOVE2**061992 | 6a72664c6071e9728753279c9e9719e5 | NA | 2019-07-04 | NA | M-PR | Programa Específico Mujeres | 717 |
| 151,127 | 2,019 | JOVE2**061992 | 6a72664c6071e9728753279c9e9719e5 | NA | 2018-12-04 | 2019-07-03 | M-PAI | Programa Específico Mujeres | 363 |
| 37,129 | 2,013 | JOVE2**061992 | d17238700fe9cad8e458b81f53c35962 | 2013-02-27 | 2013-03-17 | M-PR | Programa Específico Mujeres | 219 | |
| 67,637 | 2,015 | JUBR1**081982 | 45afc4f86bf684c1a18b2e8a2990b44b | 2014-07-09 | 2015-01-28 | PG-PAB | Programa Población General | 265 | |
| 4,296 | 2,010 | JUBR1**081982 | 1a51f8de288a6e6f58e876159806925d | 2010-03-31 | 2010-05-31 | PG-PAI | Programa Población General | 291 | |
| 130,178 | 2,018 | JUCA1**051959 | 4429a2a9d0dd8aa53b45c669a2beea03 | NA | 2017-10-03 | 2018-11-19 | PG-PAI | Programa Población General | 365 |
| 106,472 | 2,017 | JUCA1**051959 | d77e9fcd9324ee4dfb090a4897892da8 | NA | 2016-02-17 | 2017-01-25 | PG-PR | Programa Población General | 650 |
| 90,179 | 2,016 | JUCA1**051959 | d77e9fcd9324ee4dfb090a4897892da8 | 2015-09-29 | 2016-02-16 | PG-PAI | Programa Población General | 139 | |
| 39,889 | 2,013 | JUCA1**051959 | d77e9fcd9324ee4dfb090a4897892da8 | 2013-05-29 | 2013-11-26 | PG-PAI | Programa Población General | 139 | |
| 160,927 | 2,019 | JUCA1**111979 | d7316e24d6b8bb80b1484cb94e699580 | NA | 2019-07-26 | NA | PG-PAI | Programa Población General | 294 |
| 76,752 | 2,015 | JUCA1**111979 | aca2eab5a84d888e6a4463cbabd4da4d | 2015-05-04 | 2015-10-21 | PG-PAI | Programa Población General | 290 | |
| 108,368 | 2,017 | JUGA1**021973 | 0652d6d5e51a9fd7b7be088fa7f58403 | NA | 2016-07-01 | 2017-02-01 | PG-PAI | Programa Población General | 264 |
| 10,603 | 2,011 | JUGA1**021973 | 73f0a76d08b6fcdf351c2019e9fe5008 | 2010-06-23 | 2011-03-31 | PG-PR | Programa Población General | 132 | |
| 131,257 | 2,018 | JUGO1**021987 | a6fd2afabcfe8714d7bad8346aa4a73f | NA | 2017-11-22 | 2018-03-15 | PG-PR | Programa Población General | 117 |
| 6,047 | 2,010 | JUGO1**021987 | aa8ee460c663685152369464b87b1989 | 2010-06-21 | 2010-09-30 | PG-PR | Programa Población General | 183 | |
| 90,861 | 2,016 | JUHE1**101979 | 0375c965090ba0559dd75b5c79b623b6 | 2015-11-11 | 2016-03-16 | PG-PAI | Programa Población General | 338 | |
| 11,620 | 2,011 | JUHE1**101979 | ece73be7a07b273a7b6793428a5474de | 2010-02-13 | 2011-02-17 | PG-PAB | Programa Población General | 256 | |
| 132,188 | 2,018 | JULE1**021990 | 344b6edf8afac035dbbbce1228917afc | NA | 2017-12-01 | 2018-03-05 | PG-PAI | Programa Población General | 441 |
| 50,070 | 2,014 | JULE1**021990 | d093c3295e4f1b62a34b6ea504e0b723 | 2013-07-15 | 2014-02-03 | PG-PAI | Programa Población General | 162 | |
| 36,226 | 2,013 | JULE1**021990 | d093c3295e4f1b62a34b6ea504e0b723 | 2013-01-22 | 2013-07-19 | PG-PAB | Programa Población General | 169 | |
| 134,702 | 2,018 | JULO1**081982 | 2a6a473447e03790e78d8539211cf592 | NA | 2018-03-02 | 2018-06-15 | PG-PAB | Programa Población General | 469 |
| 74,453 | 2,015 | JULO1**081982 | 711ad7bf789121ad1e2dd4b38190ec09 | 2015-03-31 | 2015-07-03 | PG-PAI | Programa Población General | 287 | |
| 110,841 | 2,017 | JUMA1**121981 | 9c752761f113b59b44235f5e3ddcd2b6 | NA | 2016-11-01 | 2017-04-13 | PG-PAI | Programa Población General | 263 |
| 59,239 | 2,014 | JUMA1**121981 | 9cc4e96d42544d5797cc405e04b82d3b | 2014-05-20 | 2014-07-04 | PG-PR | Programa Población General | 201 | |
| 33,770 | 2,013 | JUMI1**081983 | d0a2084aa4a28e37edb438f36209d35e | 2012-08-08 | 2013-02-05 | PG-PR | Programa Población General | 258 | |
| 28,939 | 2,012 | JUMI1**081983 | a1b542f00d3196ad4f5a43f5f2124822 | 2012-08-01 | 2012-08-14 | PG-PAB | Programa Población General | 251 | |
| 4,272 | 2,010 | JUMI1**081983 | d0a2084aa4a28e37edb438f36209d35e | 2010-03-19 | 2010-07-01 | PG-PAB | Programa Población General | 251 | |
| 552 | 2,010 | JUMI1**081983 | d0a2084aa4a28e37edb438f36209d35e | 2009-10-26 | 2010-02-08 | PG-PR | Programa Población General | 285 | |
| 146,906 | 2,019 | JUMO1**051963 | fd369c59559f3f298115408108324786 | NA | 2018-02-28 | 2019-02-07 | PG-PAI | Programa Población General | 218 |
| 96,353 | 2,016 | JUMO1**051963 | fd369c59559f3f298115408108324786 | 2016-04-27 | 2016-06-01 | PG-PR | Programa Población General | 341 | |
| 73,793 | 2,015 | JUMO1**051963 | fd369c59559f3f298115408108324786 | 2015-02-02 | 2015-07-13 | PG-PAI | Programa Población General | 218 | |
| 33,981 | 2,013 | JUMO1**051963 | 6f765441322cc778331acf122c799244 | 2012-09-26 | 2013-01-09 | PG-PR | Programa Población General | 258 | |
| 142,649 | 2,018 | JUMO1**101970 | 4434d969f99c4d7ae148119c70148bbb | NA | 2018-09-03 | 2019-01-01 | PG-PAI | Programa Población General | 598 |
| 43,118 | 2,013 | JUMO1**101970 | 1a7442b7649baad7ea9391ea28259ad4 | 2013-08-14 | 2013-08-23 | PG-PAB | Programa Población General | 148 | |
| 76,586 | 2,015 | JUPA1**061971 | cd27b07ccad8f08c3c970fa7410cb6cf | 2015-05-26 | 2015-11-27 | PG-PAI | Programa Población General | 417 | |
| 50,312 | 2,014 | JUPA1**061971 | fa0f41cba9cf71a3cc19c46e09cecf6c | 2013-08-06 | 2014-04-30 | PG-PAI | Programa Población General | 132 | |
| 111,310 | 2,017 | JURI1**101978 | 96238c91cfebb401844ca31821e69088 | NA | 2016-12-07 | 2017-04-07 | PG-PR | Programa Población General | 104 |
| 56,549 | 2,014 | JURI1**101978 | 5570346e4ec949714fd613bf46930619 | 2014-04-15 | 2014-05-09 | PG-PAI | Programa Población General | 182 | |
| 53,386 | 2,014 | JURI1**101978 | 5570346e4ec949714fd613bf46930619 | 2014-01-07 | 2014-02-14 | PG-PAI | Programa Población General | 182 | |
| 98,415 | 2,016 | JURO1**091979 | 0ea334395e9d61bf414d6c80264f802c | 2016-06-20 | 2016-09-07 | PG-PR | Programa Población General | 235 | |
| 76,362 | 2,015 | JURO1**091979 | 0ea334395e9d61bf414d6c80264f802c | 2015-05-18 | 2015-06-10 | PG-PAI | Programa Población General | 497 | |
| 26,252 | 2,012 | JURO1**091979 | 245ce3d17c6c5b12e07b7576c637b864 | 2012-04-04 | 2012-08-10 | PG-PAI | Programa Población General | 155 | |
| 110,808 | 2,017 | JURO1**071994 | 658f3b1799402231a012dfa770ce1532 | NA | 2016-11-07 | 2017-05-05 | PG-PAB | Programa Población General | 209 |
| 56,188 | 2,014 | JURO1**071994 | 6677ba0028552a4682773dacd55804a4 | 2014-03-26 | 2014-04-05 | PG-PR | Programa Población General | 216 | |
| 148,367 | 2,019 | JUSO1**121970 | 4b0191db3c2e0b430eb2f13e10e6b183 | NA | 2018-07-20 | NA | PG-PAB | Programa Población General | 256 |
| 22,179 | 2,012 | JUSO1**121970 | 13d41d28b22428d60ab25f88be7bd460 | 2011-09-02 | 2012-06-25 | PG-PAB | Programa Población General | 188 | |
| 30,014 | 2,012 | KABA2**031979 | 1b6672e0a484afcdc59988dce4e5a5d9 | 2012-09-10 | 2013-01-31 | M-PAI | Programa Específico Mujeres | 262 | |
| 16,006 | 2,011 | KABA2**031979 | 27a499655f77df1c0bec3037664c3a5c | 2011-05-12 | 2011-11-01 | PG-PAB | Programa Población General | 177 | |
| 42,079 | 2,013 | KADI2**061970 | 06da756ac2a95faee6d269c2045d78e9 | 2013-06-06 | 2014-01-21 | PG-PAB | Programa Población General | 161 | |
| 23,561 | 2,012 | KADI2**061970 | 06da756ac2a95faee6d269c2045d78e9 | 2011-12-22 | 2012-10-30 | PG-PAB | Programa Población General | 161 | |
| 7,251 | 2,010 | KADI2**061970 | 9aaa9aa5194cb84a0741ea49b74d8787 | 2010-08-18 | 2011-05-17 | M-PAI | Programa Específico Mujeres | 161 | |
| 28,911 | 2,012 | KALE2**071982 | f62cedd63293d1d8af0b365a36e7b77d | 2012-07-02 | 2012-11-15 | PG-PAB | Programa Población General | 230 | |
| 576 | 2,010 | KALE2**071982 | 197c2d0dfff5ee73358cdffe541524cb | 2010-01-20 | 2010-02-25 | PG-PAB | Programa Población General | 230 | |
| 108,825 | 2,017 | LESA1**091970 | 0146b79ba4f2e775fd25e0b77ce0a1f4 | NA | 2016-08-24 | 2017-08-21 | PG-PR | Programa Población General | 193 |
| 33,457 | 2,013 | LESA1**091970 | 1ba1699d83733b50c12cbb541779541e | 2012-07-23 | 2013-02-18 | PG-PR | Programa Población General | 258 | |
| 22,792 | 2,012 | LESA1**091970 | 1ba1699d83733b50c12cbb541779541e | 2011-06-06 | 2012-07-06 | PG-PAB | Programa Población General | 258 | |
| 2,983 | 2,010 | LESA1**091970 | 1ba1699d83733b50c12cbb541779541e | 2010-01-05 | 2010-12-01 | PG-PAB | Programa Población General | 258 | |
| 115,040 | 2,017 | LOPI2**071985 | 42ab29db4c02e95eeba47d4140eba47a | NA | 2017-03-15 | 2017-11-01 | PG-PR | Programa Población General | 117 |
| 101,756 | 2,016 | LOPI2**071985 | e51b29ac1edb3668a4da8e7ee49c11ae | 2016-09-14 | 2017-02-01 | M-PAI | Programa Específico Mujeres | 502 | |
| 161,635 | 2,019 | LUCA1**041983 | 3bb3904c559df5f4c9e64abea39eb5b1 | NA | 2019-09-23 | NA | PG-PAI | Programa Población General | 443 |
| 64,650 | 2,014 | LUCA1**041983 | ef9d28b0dbb220ac27b375a36952e027 | 2014-11-25 | 2014-12-19 | PG-PAI | Programa Población General | 246 | |
| 109,769 | 2,017 | LUCA1**031982 | 7a7e9d8fbd67ef334a3e07b407a94523 | NA | 2016-10-03 | 2017-03-17 | PG-PAB | Programa Población General | 224 |
| 52,156 | 2,014 | LUCA1**031982 | 09c9ad4d628e2124c2766e10e3335228 | 2013-11-14 | 2014-06-30 | PG-PAI | Programa Población General | 205 | |
| 147,116 | 2,019 | LUHE1**011973 | 0cfe1d9682573288af6adaa2d5500acd | NA | 2018-02-13 | NA | PG-PAB | Programa Población General | 473 |
| 110,999 | 2,017 | LUHE1**011973 | 46aea7ae7cdabb82bc3e9cfcbf8aa691 | NA | 2016-12-09 | 2017-09-07 | PG-PAB | Programa Población General | 455 |
| 51,952 | 2,014 | LUHU1**061980 | b8d1d201a2f45fe238d07bf4ce0ba55f | 2013-11-27 | 2014-04-15 | PG-PAI | Programa Población General | 200 | |
| 9,976 | 2,011 | LUHU1**061980 | 2cb40e8b9b93c4b366f358fb17cacbcd | 2010-01-05 | 2011-08-18 | PG-PAI | Programa Población General | 296 | |
| 132,189 | 2,018 | LUMA1**051975 | 8a4bc40304dc631f91febdc861e39121 | NA | 2017-12-12 | 2018-07-04 | PG-PAB | Programa Población General | 347 |
| 106,248 | 2,017 | LUMA1**051975 | 2ebb9883c6ab79150bb144e37ee74c07 | NA | 2016-01-07 | 2017-10-02 | PG-PAB | Programa Población General | 258 |
| 10,421 | 2,011 | LUMO1**081979 | 164d00b3c485d7004352d9d0de745877 | 2010-05-20 | 2011-03-01 | PG-PR | Programa Población General | 303 | |
| 5,113 | 2,010 | LUMO1**081979 | 33e1fe3dcfa0d9a2b47e250b9dde2d21 | 2010-05-05 | 2010-05-18 | PG-PAI | Programa Población General | 291 | |
| 129,744 | 2,018 | LUPA1**041989 | b4ca0765e77c9ffede02d3ba7a93c74d | NA | 2017-09-27 | 2018-10-03 | PG-PR | Programa Población General | 303 |
| 140,272 | 2,018 | LUPA1**041989 | d9e97bb1a2d43c7d31bbaba9ee63674c | NA | 2018-06-12 | 2018-10-02 | PG-PAI | Programa Población General | 218 |
| 133,832 | 2,018 | LUPA1**041989 | d9e97bb1a2d43c7d31bbaba9ee63674c | NA | 2018-02-16 | 2018-06-05 | PG-PR | Programa Población General | 341 |
| 118,682 | 2,017 | LUPA1**041989 | b4ca0765e77c9ffede02d3ba7a93c74d | NA | 2017-06-07 | 2017-09-12 | PG-PAI | Programa Población General | 291 |
| 79,044 | 2,015 | LUPA1**041989 | b4ca0765e77c9ffede02d3ba7a93c74d | 2015-07-10 | 2016-04-08 | PG-PAI | Programa Población General | 291 | |
| 110,081 | 2,017 | LURI1**111971 | 8e66fa6a4933cf7f460a47cb2cda9177 | NA | 2016-10-17 | 2017-01-13 | PG-PR | Programa Población General | 117 |
| 9,967 | 2,011 | LURI1**111971 | 434807c069aff8595c7daff03482dcbe | 2009-11-01 | 2011-03-31 | PG-PR | Programa Población General | 117 | |
| 153,868 | 2,019 | LUSA1**121986 | 5273bc9e39935d7a754a4269cab031a1 | NA | 2019-01-16 | 2019-04-17 | PG-PAI | Programa Población General | 133 |
| 156,943 | 2,019 | LUSA1**121986 | c31731eb975640eacb799a7c5aa8d805 | NA | 2019-05-17 | 2019-10-29 | PG-PAI | Programa Población General | 721 |
| 15,685 | 2,011 | LUSA1**121986 | 5273bc9e39935d7a754a4269cab031a1 | 2011-05-02 | 2011-10-19 | PG-PAI | Programa Población General | 134 | |
| 135,609 | 2,018 | LUVA1**031978 | d2af930fee678a6996035fbbf30d525e | NA | 2017-11-30 | 2018-10-01 | PG-PAI | Programa Población General | 151 |
| 116,193 | 2,017 | LUVA1**031978 | d2af930fee678a6996035fbbf30d525e | NA | 2017-04-03 | 2017-11-15 | PG-PAI | Programa Población General | 151 |
| 73,846 | 2,015 | LUVA1**031978 | d2af930fee678a6996035fbbf30d525e | 2015-03-11 | 2015-04-28 | PG-PAI | Programa Población General | 151 | |
| 4,610 | 2,010 | LUVA1**031978 | f79d3436dfb9682e58cbd383a2afa88b | 2010-04-16 | 2010-07-05 | PG-PAB | Programa Población General | 181 | |
| 79,946 | 2,015 | LUVE1**041984 | 6feaa1665dfcc77df3e15cc19e20a3f6 | 2015-08-05 | 2015-11-30 | PG-PAI | Programa Población General | 238 | |
| 21,524 | 2,012 | LUVE1**041984 | 6feaa1665dfcc77df3e15cc19e20a3f6 | 2011-05-11 | 2012-02-20 | PG-PAI | Programa Población General | 238 | |
| 28,527 | 2,012 | LUVE1**041984 | c31de7cd5b840bba8753c56a7ebb2482 | 2012-07-11 | 2012-10-22 | PG-PAI | Programa Población General | 238 | |
| 68,314 | 2,015 | MAAR1**101973 | b50839c15a699bdd5e49adb9deab9f71 | 2014-08-01 | 2015-04-23 | PG-PAB | Programa Población General | 209 | |
| 42,219 | 2,013 | MAAR1**101973 | 64b7a36c2f2e032c3e7388bf43cd54a1 | 2013-05-22 | 2013-10-29 | PG-PAB | Programa Población General | 225 | |
| 156,877 | 2,019 | MACA1**021995 | a2355a41cc63fdb57f298d8ded53a058 | NA | 2019-05-08 | NA | PG-PAI | Programa Población General | 118 |
| 123,615 | 2,017 | MACA1**021995 | a7c11c7e25336bf797a527c5af3d0565 | NA | 2017-10-16 | 2017-12-19 | PG-PAI | Programa Población General | 207 |
| 129,985 | 2,018 | MACA1**101991 | 85a3eb94a06fb3a230d3074cd7717112 | NA | 2017-10-02 | 2018-04-23 | PG-PAI | Programa Población General | 320 |
| 130,705 | 2,018 | MACA1**101991 | 9d7cb8a27e1f6ad49e8e241f10ba1c4b | NA | 2017-11-03 | 2018-02-27 | PG-PAI | Programa Población General | 259 |
| 120,630 | 2,017 | MACA1**101991 | 85a3eb94a06fb3a230d3074cd7717112 | NA | 2017-08-02 | 2017-09-29 | PG-PAI | Programa Población General | 320 |
| 113,135 | 2,017 | MACA1**101991 | 85a3eb94a06fb3a230d3074cd7717112 | NA | 2017-02-13 | 2017-08-01 | PG-PAI | Programa Población General | 320 |
| 133,597 | 2,018 | MACA2**091969 | 482d4fb0c1d484f24143a7ab285714a5 | NA | 2018-02-01 | 2018-07-16 | PG-PAI | Programa Población General | 561 |
| 11,154 | 2,011 | MACA2**091969 | 54e63f75bb1ac598b977e683aa53a44d | 2010-08-27 | 2011-03-25 | PG-PAB | Programa Población General | 145 | |
| 68,753 | 2,015 | MACA2**061985 | e9bf752d022fb68b98ba9c2e3ee3cf08 | 2014-08-06 | 2015-07-31 | PG-PAI | Programa Población General | 232 | |
| 32,139 | 2,013 | MACA2**061985 | cee4ce2ead9f307a623fbab9a33353f5 | 2010-12-07 | 2013-08-05 | PG-PAB | Programa Población General | 166 | |
| 145,824 | 2,019 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | NA | 2017-02-21 | 2019-08-29 | PG-PAI | Programa Población General | 141 |
| 101,022 | 2,016 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2016-08-17 | 2017-01-27 | PG-PAI | Programa Población General | 141 | |
| 66,631 | 2,015 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2014-03-12 | 2015-12-17 | PG-PAI | Programa Población General | 141 | |
| 50,470 | 2,014 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2013-08-01 | 2014-02-24 | Otro | Programa Población General | 141 | |
| 33,620 | 2,013 | MACO1**021983 | 3744a5829e5d4180c80843087ddfa17b | 3b855d31baa969fe83cd34a994f7a31d | 2012-08-07 | 2013-02-28 | Otro | Programa Población General | 141 |
| 38,838 | 2,013 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2013-04-03 | 2013-07-31 | PG-PAB | Programa Población General | 141 | |
| 26,476 | 2,012 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2012-04-03 | 2012-07-30 | PG-PAB | Programa Población General | 141 | |
| 22,390 | 2,012 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2011-09-08 | 2012-03-30 | PG-PAB | Programa Población General | 141 | |
| 12,209 | 2,011 | MACO1**021983 | fd5480be411a92b07e401dcb3372c8a7 | 2010-11-18 | 2011-08-31 | PG-PAB | Programa Población General | 141 | |
| 111,461 | 2,017 | MACO1**071974 | 905948273e50de5fe1f7f607e4311991 | NA | 2016-12-01 | 2017-03-01 | PG-PAI | Programa Población General | 220 |
| 62,462 | 2,014 | MACO1**071974 | 905948273e50de5fe1f7f607e4311991 | 2014-09-25 | 2015-03-02 | PG-PAI | Programa Población General | 220 | |
| 62,447 | 2,014 | MACO1**071974 | 905948273e50de5fe1f7f607e4311991 | 2014-09-25 | 2014-09-30 | PG-PAI | Programa Población General | 220 | |
| 9,721 | 2,010 | MACO1**071974 | 15e33a27703b98754282662fc56961ef | 2010-12-13 | 2011-01-03 | PG-PAI | Programa Población General | 320 | |
| 87,146 | 2,016 | MAGA1**041979 | b2a01d19b9919a1946aeb2715b29d668 | 2015-04-15 | 2016-05-01 | PG-PR | Programa Población General | 117 | |
| 77,091 | 2,015 | MAGA1**041979 | dd46297203a3f6331a505ef09dddc446 | 2015-05-20 | 2015-10-02 | PG-PR | Programa Población General | 289 | |
| 34,840 | 2,013 | MAGA1**041979 | b2a01d19b9919a1946aeb2715b29d668 | 2012-10-08 | 2013-03-29 | PG-PAI | Programa Población General | 109 | |
| 30,734 | 2,012 | MAGA1**041979 | b2a01d19b9919a1946aeb2715b29d668 | 2012-10-08 | 2012-10-29 | PG-PAB | Programa Población General | 109 | |
| 2,636 | 2,010 | MAGA1**041979 | b2a01d19b9919a1946aeb2715b29d668 | 2009-10-05 | 2010-03-22 | PG-PAI | Programa Población General | 109 | |
| 123,219 | 2,017 | MAGA1**071988 | f9a34f488ebd5e0f541f4ea35761cfd3 | NA | 2017-10-10 | 2017-11-07 | PG-PAI | Programa Población General | 158 |
| 69,510 | 2,015 | MAGA1**071988 | 206d426d1fcb4d1e9f888ab20f5bb5c0 | 2014-10-30 | 2015-01-19 | PG-PR | Programa Población General | 142 | |
| 43,152 | 2,013 | MAGA1**071988 | 206d426d1fcb4d1e9f888ab20f5bb5c0 | 2013-06-17 | 2013-09-26 | PG-PAB | Programa Población General | 148 | |
| 134,264 | 2,018 | MAGA1**071979 | 11fdfa2519cb5400d2a53da6a37b8575 | NA | 2018-02-05 | 2018-12-01 | PG-PAB | Programa Población General | 221 |
| 83,563 | 2,015 | MAGA1**071979 | 35ae85cc54847eb034eac0c2ddbee594 | 2015-11-03 | 2015-12-18 | PG-PR | Programa Población General | 648 | |
| 82,515 | 2,015 | MAGA1**071979 | 35ae85cc54847eb034eac0c2ddbee594 | 2015-10-16 | 2015-11-03 | PG-PAB | Programa Población General | 469 | |
| 51,938 | 2,014 | MAGO1**091970 | 73660051bbeadb3b08fde15ce1cb6642 | 2013-11-06 | 2014-08-20 | PG-PR | Programa Población General | 142 | |
| 45,703 | 2,013 | MAGO1**091970 | 73660051bbeadb3b08fde15ce1cb6642 | 2013-10-04 | 2013-11-05 | Otro | Programa Población General | 141 | |
| 4,104 | 2,010 | MAGO1**091970 | ace765e77d0bccf6d8515b4674a1beaa | 2010-01-25 | 2010-10-11 | PG-PAB | Programa Población General | 156 | |
| 87,187 | 2,016 | MAGU1**011993 | f2c861861d139d6688e569cc84f90c09 | 2015-04-27 | 2016-04-14 | PG-PAI | Programa Población General | 225 | |
| 60,571 | 2,014 | MAGU1**011993 | b07fe6f1f651d4d1cc502cdbe9603817 | 2014-07-24 | 2014-11-28 | PG-PAB | Programa Población General | 427 | |
| 58,386 | 2,014 | MAGU1**011993 | f2c861861d139d6688e569cc84f90c09 | 2014-05-28 | 2014-10-31 | PG-PAB | Programa Población General | 225 | |
| 51,970 | 2,014 | MAGU1**011993 | f2c861861d139d6688e569cc84f90c09 | 2013-11-22 | 2014-04-28 | PG-PAI | Programa Población General | 225 | |
| 5,460 | 2,010 | MAJA1**121978 | 44d5ecff82f800963369c64ee59c621a | 2010-05-10 | 2010-06-15 | PG-PR | Programa Población General | 117 | |
| 1,095 | 2,010 | MAJA1**121978 | 6a01d3d5b8df5204098f3e2e381c8015 | 2009-12-21 | 2010-05-10 | PG-PAB | Programa Población General | 118 | |
| 98,254 | 2,016 | MAMA1**101982 | c32168533551a64df94b4b288cf5a493 | 2016-04-06 | 2016-12-05 | PG-PAI | Programa Población General | 502 | |
| 15,425 | 2,011 | MAMA1**101982 | 5fa4a7b59a450d466d1e1918a5d0168c | 2011-03-25 | 2011-08-22 | PG-PAB | Programa Población General | 294 | |
| 118,456 | 2,017 | MAME1**061971 | f8717840dea3ba5c3ce5f8ab2b57918f | NA | 2017-06-06 | 2018-01-31 | PG-PAB | Programa Población General | 130 |
| 75,086 | 2,015 | MAME1**061971 | 5289afe2e9c36a58d43a9518160d5fc0 | 2015-04-15 | 2015-05-20 | PG-PR | Programa Población General | 644 | |
| 60,472 | 2,014 | MAMO1**111971 | 4b0e22565eede9b80b82f3a3f92c980c | 2014-06-24 | 2014-09-01 | PG-PAI | Programa Población General | 430 | |
| 6,996 | 2,010 | MAMO1**111971 | 0163b15923259894c581346449f6303d | 2008-10-20 | 2010-10-18 | PG-PAB | Programa Población General | 161 | |
| 153,753 | 2,019 | MAMO2**091971 | 24fded986692cf18b7e433a72ce120f3 | NA | 2019-02-21 | 2019-09-30 | M-PR | Programa Específico Mujeres | 234 |
| 85,831 | 2,016 | MAMO2**091971 | 59749520a9a3132befca97a945c5b47c | 2014-09-01 | 2016-05-31 | PG-PAI | Programa Población General | 495 | |
| 56,744 | 2,014 | MAMO2**091971 | 59749520a9a3132befca97a945c5b47c | 2014-04-25 | 2014-08-20 | M-PAI | Programa Población General | 558 | |
| 125,788 | 2,018 | MAMU1**121979 | 551eb9821faed5f67f96d1f77737b341 | NA | 2014-03-18 | 2018-06-26 | PG-PAB | Programa Población General | 150 |
| 55,041 | 2,014 | MAMU1**121979 | a6c9c067effb259583aaba07538ae4e0 | 2014-02-25 | 2014-05-09 | PG-PAI | Programa Población General | 263 | |
| 139,025 | 2,018 | MAMU2**051980 | 19db34634a1c8961f34d08b1dd5a8e4a | NA | 2018-06-27 | 2018-11-01 | PG-PAI | Programa Población General | 594 |
| 52,146 | 2,014 | MAMU2**051980 | 50a4f4c601bf604bb1170d8739c392b8 | 2013-11-07 | 2014-03-19 | PG-PAI | Programa Población General | 205 | |
| 159,203 | 2,019 | MAOR1**071988 | 5ce7a9a482c7ccca439c166fe7027930 | NA | 2019-07-20 | 2019-09-28 | PG-PAB | Programa Población General | 249 |
| 30,655 | 2,012 | MAOR1**071988 | 8ddd0d0eafce6179b1f345baba6d085b | 2012-10-26 | 2012-11-05 | PG-PAI | Programa Población General | 291 | |
| 110,858 | 2,017 | MARI2**111971 | 5c7aca9484a8b4513457d1ea8c079aaf | NA | 2016-11-24 | 2017-06-01 | M-PAI | Programa Específico Mujeres | 122 |
| 25,704 | 2,012 | MARI2**111971 | 75a73d2c304ac3eda9f753e4e55e5faa | 2011-12-26 | 2013-03-28 | M-PAI | Programa Específico Mujeres | 122 | |
| 62,822 | 2,014 | MARO2**101971 | bdc8c26423f6be3464ab0ccd22f8d191 | 2014-10-07 | 2014-10-23 | PG-PAI | Programa Población General | 290 | |
| 10,434 | 2,011 | MARO2**101971 | 473ff4429e49080bf25603d0a451580d | 2010-05-04 | 2011-01-06 | M-PR | Programa Específico Mujeres | 104 | |
| 21,096 | 2,012 | MASA1**091972 | a94e2dcc3d8793e6f4814ba9bbbf04d1 | 2011-03-29 | 2012-08-30 | PG-PAB | Programa Población General | 242 | |
| 2,016 | 2,010 | MASA1**091972 | d800d8a7d54b0d8405c14ca105bcd436 | 2010-01-08 | 2010-02-01 | PG-PAI | Programa Población General | 186 | |
| 110,121 | 2,017 | MASA1**091985 | f05e308d8b76f2d447138ba4734faf87 | NA | 2016-09-06 | 2018-02-01 | PG-PAI | Programa Población General | 156 |
| 43,389 | 2,013 | MASA1**091985 | abd77bf05ed26443f7be574efe7243d1 | 2013-07-22 | 2014-01-28 | PG-PAI | Programa Población General | 105 | |
| 34,422 | 2,013 | MASA1**091985 | f7bbd6610a8194f1327d804afa991b75 | 2012-10-08 | 2013-07-22 | PG-PAB | Programa Población General | 118 | |
| 147,149 | 2,019 | MAVA1**021976 | 5d601f6001a24112fb6b9c24413583cd | NA | 2018-03-19 | 2019-03-01 | PG-PAB | Programa Población General | 337 |
| 113,623 | 2,017 | MAVA1**021976 | 5d601f6001a24112fb6b9c24413583cd | NA | 2017-02-13 | 2017-07-01 | PG-PAB | Programa Población General | 337 |
| 24,866 | 2,012 | MAVA1**021976 | cdd1e60d70f1df876badd4d32b7e800c | 2012-02-22 | 2012-06-01 | PG-PAB | Programa Población General | 141 | |
| 13,337 | 2,011 | MAVA1**021976 | cdd1e60d70f1df876badd4d32b7e800c | 2010-11-02 | 2011-11-02 | PG-PAI | Programa Población General | 155 | |
| 106,281 | 2,017 | MAVA1**021982 | e4785621ddd9bcd1ac5de03428040362 | NA | 2016-01-25 | 2017-03-07 | PG-PAB | Programa Población General | 155 |
| 69,125 | 2,015 | MAVA1**021982 | c445cc51c81f526d568e04fad2e371ee | 2014-10-01 | 2015-08-21 | PG-PAI | Programa Población General | 155 | |
| 109,893 | 2,017 | MAVA1**041973 | fdcc01d0e4415fe835c21510ca11321c | NA | 2016-09-29 | 2017-09-15 | PG-PR | Programa Población General | 285 |
| 14,056 | 2,011 | MAVA1**041973 | 634cdf3a764559b9de36fab7cb3aeb37 | 2011-02-14 | 2011-06-21 | PG-PAB | Programa Población General | 157 | |
| 148,758 | 2,019 | MAVE1**051977 | b95ffcc116e5bc136069881e44633f71 | NA | 2018-08-07 | 2019-03-25 | PG-PAB | Programa Población General | 204 |
| 5,423 | 2,010 | MAVE1**051977 | 5eba2fd1f7d78abb110d7e9a24bab5ab | 2010-05-13 | 2010-08-20 | PG-PAI | Programa Población General | 186 | |
| 117,245 | 2,017 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | NA | 2017-05-10 | 2017-05-22 | PG-PAI | Programa Población General | 115 |
| 112,935 | 2,017 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | NA | 2017-01-03 | 2017-03-23 | PG-PAI | Programa Población General | 115 |
| 103,633 | 2,016 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | 2016-10-24 | 2016-12-01 | M-PR | Programa Población General | 652 | |
| 97,813 | 2,016 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | 2016-05-24 | 2016-07-01 | M-PR | Programa Población General | 652 | |
| 60,483 | 2,014 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | 2014-07-02 | 2014-11-10 | PG-PAI | Programa Población General | 115 | |
| 53,645 | 2,014 | MAVE2**021984 | d7dc16dd5dd69db03a517ced8de53116 | 2014-01-02 | 2014-03-31 | PG-PR | Programa Población General | 117 | |
| 27,164 | 2,012 | MAVE2**021984 | c60b55d60d0fb7abffb2aeec1b771adf | 2012-05-07 | 2012-11-05 | PG-PAI | Programa Población General | 115 | |
| 146,797 | 2,019 | MICA1**081983 | 29edc7f842a012b89a6da29ff49ce0ec | NA | 2018-03-02 | 2019-04-03 | PG-PAI | Programa Población General | 495 |
| 140,997 | 2,018 | MICA1**081983 | dc818e3a974f1a64ab47c22ededfa109 | NA | 2018-08-01 | 2018-08-04 | PG-PR | Programa Población General | 267 |
| 54,876 | 2,014 | MIHE1**111973 | 89146a3940ba206fe2a701fb6b1880d7 | 2014-02-28 | 2014-07-01 | PG-PAI | Programa Población General | 264 | |
| 54,474 | 2,014 | MIHE1**111973 | 903b165ea5700c55513ff00ee9811bba | 2014-02-04 | 2014-10-29 | PG-PAB | Programa Población General | 152 | |
| 3,560 | 2,010 | MIHE1**111973 | 89146a3940ba206fe2a701fb6b1880d7 | 2010-02-24 | 2010-06-10 | PG-PAI | Programa Población General | 272 | |
| 145,992 | 2,019 | MIMA1**111958 | d60d72d5220359ffb181cf97273b5f41 | NA | 2017-07-12 | NA | PG-PAB | Programa Población General | 464 |
| 106,169 | 2,017 | MIMA1**111958 | 4d906e4d3ab863e13caf7b64bfc5c57a | NA | 2015-12-15 | 2017-06-01 | PG-PAI | Programa Población General | 291 |
| 43,802 | 2,013 | NEMI1**021972 | 51bd6b5cc445fccc259e978a60fe2f91 | 2013-07-15 | 2013-08-30 | PG-PAI | Programa Población General | 131 | |
| 45,081 | 2,013 | NEMI1**021972 | 7691d87c73b01e3ff28f52f2ce7d3b68 | 2013-07-15 | 2013-12-02 | PG-PAI | Programa Población General | 131 | |
| 129,923 | 2,018 | NIAG1**091996 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | 2017-09-30 | 2018-02-22 | PG-PR | Programa Población General | 662 |
| 117,279 | 2,017 | NIAG1**091996 | d39cec512d14415aff7635bdba2abf86 | NA | 2017-05-15 | 2017-09-29 | PG-PAI | Programa Población General | 194 |
| 135,244 | 2,018 | NIGO2**121992 | 11e33bc1f00083b9e336fcd973714fbf | NA | 2018-03-01 | 2018-07-30 | PG-PAB | Programa Población General | 195 |
| 111,394 | 2,017 | NIGO2**121992 | d959ab7e7d16c04baafc52cc35e2d453 | NA | 2016-12-20 | 2017-01-23 | PG-PAI | Programa Población General | 182 |
| 149,117 | 2,019 | NIRO2**081990 | 89527cf875649ead7bf656c1c7c4a125 | NA | 2018-03-26 | NA | PG-PAI | Programa Población General | 145 |
| 28,697 | 2,012 | NIRO2**081990 | eb8a1e68430125ba136a7bc21eba76e7 | 2012-07-26 | 2013-01-18 | PG-PAB | Programa Población General | 370 | |
| 68,602 | 2,015 | NISO1**041987 | 1ad6609a1db2453b497ba639653f575e | 2014-09-11 | 2015-02-03 | PG-PR | Programa Población General | 167 | |
| 46,114 | 2,013 | NISO1**041987 | b077d3a921a356943d71f5e2fbf8ae68 | 2013-11-08 | 2013-12-09 | PG-PAI | Programa Población General | 326 | |
| 137,518 | 2,018 | ORCA1**071981 | 9717a5a21c7722ab9cb44a9765256fe9 | NA | 2018-05-17 | 2018-08-26 | PG-PR | Programa Población General | 163 |
| 135,822 | 2,018 | ORCA1**071981 | 9717a5a21c7722ab9cb44a9765256fe9 | NA | 2018-03-20 | 2018-03-31 | PG-PR | Programa Población General | 104 |
| 97,802 | 2,016 | ORCA1**071981 | 9717a5a21c7722ab9cb44a9765256fe9 | 2016-05-02 | 2016-10-28 | PG-PR | Programa Población General | 104 | |
| 44,484 | 2,013 | ORCA1**071981 | c6092382a1a6c52466303623e70e8dce | 2013-08-26 | 2013-11-04 | PG-PAI | Programa Población General | 164 | |
| 13,469 | 2,011 | PADI1**101980 | cbbd6335ca7a2ba2d80763f6ae96e292 | 2011-01-03 | 2011-06-20 | PG-PAB | Programa Población General | 145 | |
| 8,507 | 2,010 | PADI1**101980 | 947effbfc8c1f3555ade021df0d9630e | 2010-10-19 | 2010-12-16 | PG-PAB | Programa Población General | 145 | |
| 71,073 | 2,015 | PAMA1**121987 | b569214646b886516338166554766922 | 2015-01-16 | 2015-04-30 | PG-PAI | Programa Población General | 140 | |
| 48,775 | 2,014 | PAMA1**121987 | b569214646b886516338166554766922 | 2013-04-24 | 2014-02-03 | PG-PAI | Programa Población General | 140 | |
| 22,593 | 2,012 | PAMA1**121987 | 1969507d66c44dbcc0607aaf2f4bb440 | 2011-09-05 | 2012-04-02 | PG-PAB | Programa Población General | 270 | |
| 37,433 | 2,013 | PARO2**031989 | ffb44b01b50637f7716bfa6abde15bc6 | 2013-02-19 | 2013-11-04 | M-PAI | Programa Específico Mujeres | 220 | |
| 11,379 | 2,011 | PARO2**031989 | 60cbf06be3ae9cd6bd026cd1966d7e49 | 2010-09-14 | 2011-04-22 | M-PAI | Programa Específico Mujeres | 220 | |
| 896 | 2,010 | PARO2**031989 | ffb44b01b50637f7716bfa6abde15bc6 | 2009-09-29 | 2010-05-05 | M-PAI | Programa Específico Mujeres | 220 | |
| 115,537 | 2,017 | PASA1**061975 | 047fb2b5ff23cb22ddfc163ee8bd7da9 | NA | 2017-04-07 | 2017-06-29 | PG-PAI | Programa Población General | 232 |
| 116,217 | 2,017 | PASA1**061975 | 2a4d3e18e48a3d8706a14e295fe73e99 | NA | 2017-04-10 | 2017-10-01 | PG-PAB | Programa Población General | 294 |
| 46,958 | 2,013 | RAMA1**091981 | 2c7ae4e55b6e35c273804ff8dd55afe7 | 2013-12-02 | 2014-02-12 | PG-PAB | Programa Población General | 238 | |
| 19,289 | 2,011 | RAMA1**091981 | d80591e041add7b75857e75841406632 | 2011-10-07 | 2011-11-23 | PG-PAI | Programa Población General | 169 | |
| 159,892 | 2,019 | RIVI1**011984 | be21a45824bfae4483012ca9ea7490a7 | NA | 2019-06-17 | NA | PG-PAI | Programa Población General | 145 |
| 105,643 | 2,017 | RIVI1**011984 | c57e883af6ef4b08d75f109a86628e3b | NA | 2015-04-06 | 2017-01-17 | PG-PAI | Programa Población General | 149 |
| 52,764 | 2,014 | RIVI1**011984 | be21a45824bfae4483012ca9ea7490a7 | 2013-12-03 | 2014-02-28 | PG-PAB | Programa Población General | 295 | |
| 21,890 | 2,012 | RIVI1**011984 | be21a45824bfae4483012ca9ea7490a7 | 2011-07-14 | 2012-04-10 | PG-PAI | Programa Población General | 296 | |
| 155,699 | 2,019 | ROAR1**091981 | a4d8ac82f0415efcae1cbfb5aed47fdc | NA | 2019-04-11 | NA | PG-PAI | Programa Población General | 621 |
| 116,066 | 2,017 | ROAR1**091981 | 4bbb41dd71b487fb07fcb17f8db4ad85 | NA | 2017-04-17 | 2018-01-01 | PG-PAI | Programa Población General | 178 |
| 111,015 | 2,017 | ROCA1**061980 | 11c195c7cc682be9b10e71a922258653 | NA | 2016-11-23 | 2017-04-27 | PG-PAB | Programa Población General | 255 |
| 31,682 | 2,012 | ROCA1**061980 | 13b7f0af65998b4c86e38b03553e8500 | 2012-12-03 | 2013-03-27 | PG-PAI | Programa Población General | 296 | |
| 112,778 | 2,017 | ROCA1**101986 | 4f4d76c214a405afec7032b8e2e75a6d | NA | 2017-01-03 | 2017-03-16 | PG-PAB | Programa Población General | 185 |
| 33,015 | 2,013 | ROCA1**101986 | bb73e883161cf45ef10294c039b30747 | 2012-06-11 | 2013-02-28 | PG-PAI | Programa Población General | 134 | |
| 37,087 | 2,013 | ROCO1**061977 | 32185739de73704cbfd6255ad16de00d | 2013-02-21 | 2013-03-18 | PG-PR | Programa Población General | 167 | |
| 19,017 | 2,011 | ROCO1**061977 | 1e51b8d0be6a957e573135e38aba9410 | 2011-09-26 | 2011-12-20 | PG-PAB | Programa Población General | 175 | |
| 115,927 | 2,017 | ROCO1**091979 | 7e7acf1620ae5ae1fa0b1be57bab416d | NA | 2017-04-17 | 2017-12-06 | PG-PAB | Programa Población General | 155 |
| 24,994 | 2,012 | ROCO1**091979 | 4c10324cde278c35cd24842ec4751133 | 2012-02-29 | 2012-07-03 | PG-PAB | Programa Población General | 185 | |
| 6,006 | 2,010 | ROCO1**091979 | 4c10324cde278c35cd24842ec4751133 | 2010-06-14 | 2010-11-30 | PG-PAB | Programa Población General | 185 | |
| 149,699 | 2,019 | ROGA1**071975 | f86253bf1fff2e1981394aa7d8e4346e | NA | 2018-10-08 | 2019-04-23 | PG-PAB | Programa Población General | 242 |
| 67,958 | 2,015 | ROGA1**071975 | f86fda074578384f9d2b156093b186ab | 2014-06-02 | 2015-04-27 | PG-PAI | Programa Población General | 259 | |
| 80,307 | 2,015 | ROGO1**121981 | e7585f7b3a2f9df14a78ed21a25bec25 | 2015-08-12 | 2015-10-30 | PG-PR | Programa Población General | 104 | |
| 38,283 | 2,013 | ROGO1**121981 | 4801cb061adc3fd830ea42bd8cab9f16 | 2012-10-17 | 2014-01-30 | PG-PAB | Programa Población General | 433 | |
| 1,802 | 2,010 | ROGO1**121981 | 4801cb061adc3fd830ea42bd8cab9f16 | 2009-05-15 | 2010-01-31 | PG-PR | Programa Población General | 235 | |
| 129,241 | 2,018 | ROLA1**091981 | 0027e02d3e5f7a17f6c21b28e463c442 | NA | 2017-08-08 | 2018-01-01 | PG-PAI | Programa Población General | 359 |
| 112,394 | 2,017 | ROLA1**091981 | f25b8516caa5136338e13fbeae80b01f | NA | 2017-01-16 | 2017-05-30 | PG-PAI | Programa Población General | 259 |
| 157,364 | 2,019 | ROMA1**071981 | d7fc637c5f374881f19344d14cc7751d | NA | 2019-05-23 | 2019-08-08 | PG-PAB | Programa Población General | 188 |
| 17,680 | 2,011 | ROMA1**071981 | 70d369be42a3073e360e46a300046ae3 | 2011-06-02 | 2011-09-30 | PG-PAB | Programa Población General | 270 | |
| 126,161 | 2,018 | ROMA2**101969 | 9905695362acfa39d5d56fffaad6e48f | NA | 2016-08-01 | 2018-09-04 | PG-PAI | Programa Población General | 330 |
| 37,274 | 2,013 | ROMA2**101969 | 9e5fd4e48efd5891469be5a2167b0dba | 2013-02-28 | 2014-08-01 | Otro | Programa Población General | 330 | |
| 136,206 | 2,018 | ROPA1**031983 | 44a10dd6f47a1e8349c0229697659f27 | NA | 2018-04-03 | 2018-10-01 | PG-PAB | Programa Población General | 612 |
| 824 | 2,010 | ROPA1**031983 | c34547687ec365769bcf420ecdda9825 | 2009-03-19 | 2010-07-30 | PG-PAI | Programa Población General | 301 | |
| 136,417 | 2,018 | ROPE1**061982 | dd52933d9dc73f86c0d0ff2aad40d50b | NA | 2018-03-27 | 2018-09-26 | PG-PAB | Programa Población General | 188 |
| 87,428 | 2,016 | ROPE1**061982 | 692d4a37604742738e929351a36a2002 | 2015-04-15 | 2016-07-01 | PG-PAB | Programa Población General | 330 | |
| 151,147 | 2,019 | SEGO1**031990 | c58d5954d6c26c49bd5555e4aa2a6d25 | NA | 2018-12-04 | 2019-03-06 | PG-PR | Programa Población General | 193 |
| 14,669 | 2,011 | SEGO1**031990 | 2f9f66cdcb05437ce0f8dde802d96104 | 2011-03-11 | 2011-05-18 | PG-PAB | Programa Población General | 295 | |
| 69,405 | 2,015 | SEVA1**121963 | 289bca60837f05528cc6bda78d59fe77 | 2014-10-06 | 2015-04-10 | PG-PAI | Programa Población General | 182 | |
| 69,660 | 2,015 | SEVA1**121963 | 45553854232003adff657ee5079a80c5 | 2014-11-06 | 2015-01-29 | PG-PR | Programa Población General | 132 | |
| 146,959 | 2,019 | SIOS2**111984 | 2c8507e7a6f2e9bf1c28d47097d6c497 | NA | 2018-03-26 | NA | PG-PAB | Programa Población General | 238 |
| 95,450 | 2,016 | SIOS2**111984 | 5d5e820f19f848542e2886492aad7e9e | 2016-02-22 | 2016-10-01 | PG-PAI | Programa Población General | 430 | |
| 130,027 | 2,018 | SOOL2**071984 | d3306a6154055f6b38f45f7f570e03ba | NA | 2017-09-04 | 2018-04-03 | PG-PAB | Programa Población General | 270 |
| 135,874 | 2,018 | SOOL2**071984 | f4a16ac505ea53624d5f7e1facf7be9b | NA | 2018-04-03 | 2018-10-05 | PG-PAB | Programa Población General | 668 |
| 135,463 | 2,018 | SOTO2**111992 | 3126380e5d529e92431497b7e09eaf97 | NA | 2018-03-21 | 2018-06-20 | PG-PR | Programa Población General | 117 |
| 110,964 | 2,017 | SOTO2**111992 | 3126380e5d529e92431497b7e09eaf97 | NA | 2016-11-21 | 2017-07-31 | PG-PAI | Programa Población General | 106 |
| 96,005 | 2,016 | SOTO2**111992 | 3126380e5d529e92431497b7e09eaf97 | 2016-01-07 | 2016-07-12 | PG-PAI | Programa Población General | 106 | |
| 99,335 | 2,016 | SOTO2**111992 | 592556b93eaaadd30dfde6dcd93f6f71 | 2016-07-07 | 2016-11-16 | M-PR | Programa Población General | 652 | |
| 70,496 | 2,015 | SOTO2**111992 | 3126380e5d529e92431497b7e09eaf97 | 2014-12-01 | 2015-02-13 | PG-PAI | Programa Población General | 106 | |
| 34,859 | 2,013 | TELI2**101980 | fb680c7e11ab86946213b42c6eaec3a1 | 2012-11-29 | 2013-12-02 | PG-PAB | Programa Población General | 347 | |
| 29,018 | 2,012 | TELI2**101980 | 78750dd324d453215534132ee6c9d9f2 | 2012-08-07 | 2012-11-28 | M-PR | Programa Específico Mujeres | 345 | |
| 26,428 | 2,012 | TELI2**101980 | fb680c7e11ab86946213b42c6eaec3a1 | 2012-04-04 | 2012-08-03 | PG-PAB | Programa Población General | 347 | |
| 67,328 | 2,015 | VAMO2**011994 | fabd25d1f60a851ebae53647677b5c97 | 2014-06-02 | 2015-02-23 | PG-PAI | Programa Población General | 155 | |
| 46,287 | 2,013 | VAMO2**011994 | 403a779b89d662c862a6478e1b4bdfab | 2013-11-15 | 2014-02-03 | PG-PAI | Programa Población General | 155 | |
| 11,731 | 2,011 | VIBR1**031981 | 7d508585bc4d516da6167be5d217bc91 | 2010-10-19 | 2011-03-01 | PG-PR | Programa Población General | 162 | |
| 20,200 | 2,011 | VIBR1**031981 | 883dedb13efb7e115fb672943caa666d | 2011-08-03 | 2015-12-01 | PG-PR | Programa Población General | 269 | |
| 93,357 | 2,016 | VIPA1**041980 | 37c0271df633294bfeb3c6c729ff7c01 | 2016-02-02 | 2016-06-29 | PG-PAB | Programa Población General | 173 | |
| 88,918 | 2,016 | VIPA1**041980 | 95bd5533d5522d2d86c6874bb28f5d51 | 2015-08-18 | 2016-01-08 | PG-PAI | Programa Población General | 200 |
We expected to see repeated IDs due to the binding of yearly datasets and treatments that may appear in both years (possibly, because the treatment extended to the following years). A sum of 6,182 SENDA IDs appears more than one time in each yearly dataset. Conversely, there were 7,076 cases with more than one SENDA’s ID (could be different or repeated) by HASH in each yearly dataset.
For example, we can appreciate that an ID like “MAMO108111971” contains different HASH_KEYs: 4b0e22565eede9b80b82f3a3f92c980c and 0163b15923259894c581346449f6303d.
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::filter(id=="MASA124091985"|id=="NIAG108091996"|id=="JUGA108021973"|id=="MAMO108111971") %>%
dplyr::arrange(id) %>%
#dplyr::select(-id,-TABLE,-14,-16,-17,-26,-27,-28,-29,-35,-36,-37,-88,-93,-94,-96,-101) %>%
dplyr::select(row, ano_bd, id_mod,HASH_KEY, hash_rut_completo, fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 5. Examples of problematic IDs",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | id_mod | HASH_KEY | hash_rut_completo | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro |
|---|---|---|---|---|---|---|---|---|---|
| 108,368 | 2,017 | JUGA1**021973 | 0652d6d5e51a9fd7b7be088fa7f58403 | NA | 2016-07-01 | 2017-02-01 | PG-PAI | Programa Población General | 264 |
| 10,603 | 2,011 | JUGA1**021973 | 73f0a76d08b6fcdf351c2019e9fe5008 | 2010-06-23 | 2011-03-31 | PG-PR | Programa Población General | 132 | |
| 60,472 | 2,014 | MAMO1**111971 | 4b0e22565eede9b80b82f3a3f92c980c | 2014-06-24 | 2014-09-01 | PG-PAI | Programa Población General | 430 | |
| 6,996 | 2,010 | MAMO1**111971 | 0163b15923259894c581346449f6303d | 2008-10-20 | 2010-10-18 | PG-PAB | Programa Población General | 161 | |
| 110,121 | 2,017 | MASA1**091985 | f05e308d8b76f2d447138ba4734faf87 | NA | 2016-09-06 | 2018-02-01 | PG-PAI | Programa Población General | 156 |
| 43,389 | 2,013 | MASA1**091985 | abd77bf05ed26443f7be574efe7243d1 | 2013-07-22 | 2014-01-28 | PG-PAI | Programa Población General | 105 | |
| 34,422 | 2,013 | MASA1**091985 | f7bbd6610a8194f1327d804afa991b75 | 2012-10-08 | 2013-07-22 | PG-PAB | Programa Población General | 118 | |
| 129,923 | 2,018 | NIAG1**091996 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | 2017-09-30 | 2018-02-22 | PG-PR | Programa Población General | 662 |
| 117,279 | 2,017 | NIAG1**091996 | d39cec512d14415aff7635bdba2abf86 | NA | 2017-05-15 | 2017-09-29 | PG-PAI | Programa Población General | 194 |
UPDATE on January 30, 2020: According to indications from the professionals of SENDA, duplicated rows shown in Table 4 corresponded to different official’s IDs (RUNs), meaning that different HASHs effectively represents different users, making it more reliable than SENDA’s ID.
3. Focus on Duplicated Cases and Dates of Admission
We needed to distinguish between duplicated cases and admissions from 2010 to 2019, so we could focus on ranges of treatment dates within each user. At this point, we had 899 cases of users (HASHs) in treatments with an exact same date of admission throughout the dataset.
Additionally, as we deleted cases that we considered duplicated because they shared the same HASH and date of admission, some values could be missing and could be replaced by another entry within the dataset, as can be seen in Table 6.
CONS_C1_df %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
#dplyr::filter(!row %in% as.character(as.vector(unlist(data.table::as.data.table(unlist(CONS_C1_df_dup_ENE_2020_prev2$row)))))) %>% # Select HASHs of cited cases
assign("replace",.,envir=.GlobalEnv)
CONS_C1_df %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(!row %in% as.character(as.vector(unlist(data.table::as.data.table(unlist(CONS_C1_df_dup_ENE_2020_prev2$row)))))) %>% # Select HASHs of cited cases
assign("replace_miss",.,envir=.GlobalEnv)
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::left_join(dplyr::select(replace,hash_treat, fech_egres), "hash_treat") %>%
dplyr::filter(!is.na(fech_egres.y)) -> replace_date_disch
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(dias_trat)|dias_trat<=0) %>%
dplyr::left_join(dplyr::select(replace,hash_treat, dias_trat,fech_egres), "hash_treat") %>%
dplyr::filter(dias_trat.y>0) -> replace_days_treat
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(motivodeegreso)) %>%
dplyr::left_join(dplyr::select(replace,hash_treat, motivodeegreso), "hash_treat") %>%
dplyr::filter(!is.na(motivodeegreso.y)) -> replace_caus_disch
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::left_join(dplyr::select(replace_miss,hash_treat, fech_egres), "hash_treat") %>%
dplyr::filter(!is.na(fech_egres.y)) -> replace_miss_date_disch
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(dias_trat)|dias_trat<=0) %>%
dplyr::left_join(dplyr::select(replace_miss,hash_treat, dias_trat,fech_egres), "hash_treat") %>%
dplyr::filter(dias_trat.y>0) -> replace_miss_days_treat
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(hash_treat= paste0(HASH_KEY,"_",fech_ing)) %>%
dplyr::filter(is.na(motivodeegreso)) %>%
dplyr::left_join(dplyr::select(replace_miss,hash_treat, motivodeegreso), "hash_treat") %>%
dplyr::filter(!is.na(motivodeegreso.y)) -> replace_miss_caus_disch
as.data.frame(cbind("Possible Replaces"=c("Date of Discharge", "Days of Treatment", "Cause of Discharge"),
"No. of Cases to Replace"=c(nrow(replace_days_treat),nrow(replace_days_treat),nrow(replace_caus_disch)),
"No. of Cases to Replace \n From Discarded Data"=c(nrow(replace_miss_date_disch),nrow(replace_miss_days_treat),nrow(replace_miss_caus_disch)))) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 6. Possible Replaces from The Original Dataset", align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8)| Possible Replaces | No. of Cases to Replace | No. of Cases to Replace From Discarded Data |
|---|---|---|
| Date of Discharge | 12 | 2 |
| Days of Treatment | 12 | 1 |
| Cause of Discharge | 3 | 1 |
#we saw that these values could not be replaced by the deleted cases
#Also,I made it with FEB 2020 Dataset, and none of the cases could be replaced posteriorly.
Table 6 shows that values within the dataset could replace some missing values. Discarded values could only replace one case. All of these cases were studied posteriorly.
4. Age in Datasets
The age is a unit-invariant variable that may contribute to standardize users, and subsequently, distinguish treatments. At this point, we only had fuzzy criteria to separate between different admissions. That is why we need to adopt a casuistic approach to find duplicated treatments through probabilistic deduplication. We can find these strategies in the main diagram of data preparation. Nonetheless, many cases had invalid ages (n= 445). The first question is if we could replace the missing ages from the dates of birth.
Based on the meeting on Dec. 5, 2019, one of the main challenges was to check whether the age of birth is part of the last 4 numbers of each ID.
#plot(CONS_C1_df_dup_ENE_2020_prev2$ano_nac, CONS_C1_df_dup_ENE_2020_prev2$Edad, ylab="Age", xlab="Year of Birth")
#library(ggiraph)
#require(ggiraphExtra)
require(plotly)
#CONS_C1_df_dup_ENE_2020_prev2 %>%
# dplyr::mutate(graph_info=paste("Row:", row, '<br>Year DB:', ano_bd)) %>%
# ggplot(data = ) +
# geom_point_interactive(aes(x = ano_nac, y = Edad, color = ano_bd,
# tooltip = graph_info, data_id = row)) +
# theme_minimal() -> gg_point
#girafe(ggobj = gg_point)
plotly::plot_ly(CONS_C1_df_dup_ENE_2020_prev2,type="scatter", x = ~ano_nac, y = ~Edad,
text = ~paste("Row: ", row, '<br>Year DB:', ano_bd),
mode = "markers") %>%
layout(xaxis=list(title="Year of Birth"),
yaxis=list(title="Age"),
title="Figure 1. Scatterplot of Year of Birth and Age")As we can see in Figure 1, there is a clear relationship with a few residuals. If we regress the year of birth on age, we find that the intercept was 2,018.84, and the slope was -1.00. This intercept is equal to the date 2018-11-03. Once we add the slope, we get an approximate date of retrieval of 2019-11-03. We identified the outliers, ending up with 3 cases in which the expected age and year of birth presented a difference greater than 1 year. Even so, some cases did not comply with this relationship.
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(dif_edad=ano_nac-(2019-Edad)) %>%
dplyr::filter(dif_edad!=0) %>%
dplyr::arrange(desc(dif_edad)) %>%
dplyr::select(-id,-TABLE,-14,-16,-17,-26,-27,-28,-29,-35,-36,-37,-88,-93,-94,-96,-101) %>%
dplyr::select(row, ano_bd, ano_nac, Edad, dif_edad,
HASH_KEY, hash_rut_completo, id_mod,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa,
ID.centro, everything()) %>%
head() %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 7. Cases that have a different year of birth and age",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | ano_nac | Edad | dif_edad | HASH_KEY | hash_rut_completo | id_mod | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro | Nombre.Centro | tipo_centro | Región.del.Centro | Servicio.de.Salud | Tipo.de.Programa | Tipo.de.Plan | SENDA | dias_trat | Dias.en.SENDA | Nombre.Usuario | Comuna.Residencia | Origen.de.Ingreso | País.Nacimiento | Nacionalidad | Etnia | Estado.Conyugal | Fecha.Ultimo.Tratamiento | Sustancia.de.Inicio | Edad.Inicio.Consumo | X.Se.trata.de.una.mujer.embarazada. | Escolaridad..último.año.cursado. | Con.Quién.Vive | Tipo.de.vivienda | Tenencia.de.la.vivienda | Sustancia.Principal | Otras.Sustancias.nº1 | Otras.Sustancias.nº2 | Otras.Sustancias.nº3 | Frecuencia.de.Consumo..Sustancia.Principal. | Edad.Inicio..Sustancia.Principal. | Vía.Administración..Sustancia.Principal. | Diagnóstico.Trs..Consumo.Sustancia | Diagnóstico.Trs..Psiquiátrico.DSM.IV | Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV | X2.Diagnóstico.Trs..Psiquiátrico.DSM.IV | X2.Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV | X3.Diagnóstico.Trs..Psiquiátrico.DSM.IV | X3.Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV | Diagnóstico.Trs..Psiquiátrico.CIE.10 | Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 | X2.Diagnóstico.Trs..Psiquiátrico.CIE.10 | X2.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 | X3.Diagnóstico.Trs..Psiquiátrico.CIE.10 | X3.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 | Diagnóstico.Trs..Físico | Otros.Problemas.de.Atención.de.Salud.Mental | Compromiso.Biopsicosocial | DIAGNOSTICO.GLOBAL.DE.NECESIDADES.DE.INTEGRACION.SOCIAL | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.HUMANO | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.FISICO | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.SOCIAL | Fecha.Ingreso.a.Convenio.SENDA | Usuario.de.Tribunales..Tratamiento.Drogas | Consentimiento.Informado | motivodeegreso | Tipo.Centro.Derivación | evaluacindelprocesoteraputico | eva_consumo | eva_fam | eva_relinterp | eva_ocupacion | eva_sm | eva_fisica | eva_transgnorma | Diagnóstico.Trastorno.Psiquiátrico.CIE.10.al.Egreso | DIAGNOSTICO.GLOBAL.DE.NECESIDADES.DE.INTEGRACION.SOCIAL.1 | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.HUMANO.1 | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.FISICO.1 | DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.SOCIAL.1 | Motivo.de.egreso.Alta.Administrativa | Consorcio | Ha.estado.embarazada.egreso. | sexo | embarazo | fech_ing_ano | fech_ing_mes | fech_ing_dia | concat | duplicated_HASH_date | dup_todo | OBS | dias_trat_inv |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6,050 | 2,010 | 1,991 | 61 | 33 | 2e52e0b13eb61711806fc416be9ee382 | CACO1**061991 | 2010-06-09 | 2010-11-02 | PG-PAI | Programa Población General | 138 | COSAM Schneider (CSMC Schneider-CESAMCO) | publico | DE LOS RIOS | Valdivia | Programa Población General | PG-PAI | Si | 146 | 125 | OCULTO | VALDIVIA | Consulta Espontánea | Chile | Chile | No pertenece | Separado | NA | NA | NA | No | UNIVERSITARIA INCOMPLETA | Solo | Pieza dentro de la vivienda | Allegado | Alcohol | Marihuana | Anfetaminas | Cocaína | 2-3 días - semana | 20 | Oral (bebida o comida) | Dependencia | En estudio | NA | NA | NA | NA | NA | Sin trastorno | NA | NA | NA | NA | NA | Cardiopatías: miocardiopatía dilatada por OH, arritmias, HTA | Violencia Intrafamiliar | Moderado | NA | NA | NA | NA | 30/06/2010 | No | Si | Derivación | NA | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Intermedio | NA | NA | NA | NA | NA | NA | SERVICIO DE SALUD VALDIVIA | NA | Hombre | No | 2,010 | 6 | 9 | 2e52e0b13eb61711806fc416be9ee382_2010_6_9 | FALSE | 1 | -146 | ||
| 4,010 | 2,010 | 1,991 | 56 | 28 | b82d0c95ad017520b75a01641a9e6d9f | VISA1**031991 | 2010-03-10 | 2010-07-12 | PG-PR | Programa Población General | 307 | Comunidad Terapeutica CENTRA Ltda. (Centra) | privado | METROPOLITANA | Metropolitano Oriente | Programa Población General | PG-PR | Si | 124 | 124 | OCULTO | LA REINA | Estab. de APS | Chile | Chile | No pertenece | Soltero | NA | NA | NA | No | MEDIA INCOMPLETA | Otros | Pieza dentro de la vivienda | Allegado | Alcohol | Marihuana | NA | NA | Todos los días | 23 | Oral (bebida o comida) | Dependencia | En estudio | NA | NA | NA | NA | NA | Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia | NA | NA | NA | NA | NA | En estudio | Otros | Severo | NA | NA | NA | NA | 10/03/2010 | No | Si | Abandono | NA | Logro Intermedio | Logro Intermedio | Logro Intermedio | Logro Mínimo | Logro Intermedio | Logro Intermedio | Logro Alto | Logro Intermedio | NA | NA | NA | NA | NA | NA | Centros de Tratamiento y Rehabilitacion en Adicciones Ltda. (CENTRA) | NA | Hombre | No | 2,010 | 3 | 10 | b82d0c95ad017520b75a01641a9e6d9f_2010_3_10 | FALSE | 1 | -124 | ||
| 17,089 | 2,011 | 1,992 | 32 | 5 | f959dcbde9f32d316ed12fe72ff870d5 | JIRI1**051992 | 2011-05-31 | 2011-11-30 | PG-PR | Programa Población General | 240 | Comunidad Terapeutica Fundacion Sagrado Corazon | privado | METROPOLITANA | Metropolitano Sur | Programa Población General | PG-PR | Si | 183 | 183 | OCULTO | PUENTE ALTO | Consulta Espontánea | Chile | Chile | No pertenece | Soltero | último 12 meses | Coca? | 14 | NA | UNIVERSITARIA INCOMPLETA | Únicamente con padres o familia de origen | Casa | Allegado | Cocaína | Alcohol | NA | NA | Todos los días | 14 | Intranasal ( aspiración de polvo por la nariz) | Dependencia | NA | NA | NA | NA | NA | NA | Trastornos de la personalidad y del comportamiento del adulto | NA | NA | NA | NA | NA | Sin trastorno | Sin otros problemas de salud mental | Moderado | NA | NA | NA | NA | 31/05/2011 | No | Si | Alta Admnistrativa | NA | Logro M?mo | Logro Mínimo | Logro Mínimo | Logro Intermedio | Logro Alto | Logro Intermedio | Logro Intermedio | Logro Intermedio | NA | NA | NA | NA | NA | NA | Fundacion Sagrado Corazon | NA | Hombre | NA | 2,011 | 5 | 31 | f959dcbde9f32d316ed12fe72ff870d5_2011_5_31 | FALSE | 1 | -183 | ||
| 162,840 | 2,019 | 1,991 | 27 | -1 | 0012beab59a3a84eec95c9371f393a06 | NA | MACI1**111991 | 2019-09-02 | NA | PG-PAB | Programa Población General | 298 | CESFAM Juan Pablo II. Pdre Hurtado | publico | METROPOLITANA | Metropolitano Occidente | Programa Población General | PG-PAB | Si | 72 | 43 | OCULTO | PADRE HURTADO | Consulta Espontánea | NA | Chile | No pertenece | Soltero | último 6 meses | Alcohol | 15 | NA | BASICA COMPLETA | Otros | Casa | Allegado | Pasta Base | Alcohol | NA | NA | 4-6 días - semana | 18 | Fumada o Pulmonar (aspiración de gases o vapores) | Dependencia | NA | NA | NA | NA | NA | NA | Sin trastorno | NA | NA | NA | NA | NA | Sin trastorno | Sin otros problemas de salud mental | Moderado | Altas | Altas | Altas | Altas | 01/10/2019 | No | Si | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | SERVICIO DE SALUD METROPOLITANO OCCIDENTE | NA | Hombre | NA | 2,019 | 9 | 2 | 0012beab59a3a84eec95c9371f393a06_2019_9_2 | FALSE | 1 | -72 | |
| 156,952 | 2,019 | 1,991 | 27 | -1 | 0012beab59a3a84eec95c9371f393a06 | NA | MACI1**111991 | 2019-05-23 | 2019-08-29 | PG-PR | Programa Población General | 289 | Comunidad Terapeutica El Sendero de Paternitas | privado | METROPOLITANA | Metropolitano Occidente | Programa Población General | PG-PR | Si | 98 | 98 | OCULTO | PADRE HURTADO | Otro Centro Tratamiento Drogas | NA | Chile | No pertenece | Soltero | último 6 meses | Marihuana | 14 | NA | BASICA COMPLETA | Otros | Casa | Propia | Pasta Base | Cocaína | Marihuana | NA | Todos los días | 21 | Fumada o Pulmonar (aspiración de gases o vapores) | Dependencia | En estudio | NA | NA | NA | NA | NA | Sin trastorno | NA | NA | NA | NA | NA | En estudio | Violencia Intrafamiliar | Severo | Altas | Altas | Altas | Altas | 23/05/2019 | No | Si | Abandono | NA | Logro M?mo | Logro Mínimo | Logro Mínimo | Logro Mínimo | Logro Mínimo | Logro Mínimo | Logro Mínimo | Logro Mínimo | NA | Bajas | Bajas | Bajas | Bajas | NA | Fundacion Paternitas | no | Hombre | NA | 2,019 | 5 | 23 | 0012beab59a3a84eec95c9371f393a06_2019_5_23 | FALSE | 1 | -98 | |
| 152,497 | 2,019 | 1,982 | 36 | -1 | 00528a091ac4ef26ae603b4effc4e9cb | NA | MAGO1**111982 | 2019-01-04 | 2019-10-04 | PG-PAI | Programa Población General | 326 | COSAM Central | publico | DE ANTOFAGASTA | Antofagasta | Programa Población General | PG-PAI | Si | 273 | 273 | OCULTO | ANTOFAGASTA | Otros | NA | Chile | No pertenece | Soltero | 5 o más años | Alcohol | 12 | NA | MEDIA COMPLETA | Únicamente con la pareja y padres o familia de origen | Casa | Allegado | Pasta Base | Alcohol | Marihuana | Cocaína | 2-3 días - semana | 18 | Fumada o Pulmonar (aspiración de gases o vapores) | Dependencia | NA | NA | NA | NA | NA | NA | Trastornos de la personalidad y del comportamiento del adulto | Trastornos de los hábitos y del control de los impulsos | NA | NA | NA | NA | Traumatismos y secuelas secundarios | Sin otros problemas de salud mental | Severo | Medias | Medias | Medias | Bajas | 04/01/2019 | No | Si | Alta Terapéutica | NA | Logro Alto | Logro Alto | Logro Alto | Logro Alto | Logro Alto | Logro Alto | Logro Alto | Logro Alto | NA | Altas | Altas | Altas | Altas | NA | SERVICIO DE SALUD ANTOFAGASTA | no | Hombre | NA | 2,019 | 1 | 4 | 00528a091ac4ef26ae603b4effc4e9cb_2019_1_4 | FALSE | 1 | -273 |
In Table 7, we can see the first 6 cases that had differences ordered by the magnitude of the difference. The rest of the 18,133 had 12 months of difference.
However, we may take account that there are 0.4% cases with invalid years, representing 426 cases with less than 18 years, and 19 cases with more than 90 years. We might probably wonder why we are getting invalid cases from the age at the date of retrieval and not from the age at the time of admission; however, we replicated the rule applied by SENDA professionals. Additionally, many of the SENDA IDs of these cases have the same values of the year and month of admission, as can be seen in Table 8:
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(stringi::stri_sub(id,-8,-1),"dmY")) %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>% #AGREGADO EN APR 2020.
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>% #AGREGADO EN APR 2020.
dplyr::select(row, HASH_KEY, id_mod, ano_nac, ano_bd,Edad,fech_ing,fech_nac, Edad_al_ing) %>% #AGREGADO EN APR 2020.
dplyr::filter(Edad<18|Edad>90) %>%
#dplyr::filter(Edad_al_ing<18|Edad_al_ing>90) %>%
#ACTUALIZACION A ABRIL 2020, SÓLO BAJA DE 445 A 444 CUANDO SELECCIONO POR EDAD DE INGRESO
#nrow()
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 8. Cases that have a wrongly asigned age",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | HASH_KEY | id_mod | ano_nac | ano_bd | Edad | fech_ing | fech_nac | Edad_al_ing |
|---|---|---|---|---|---|---|---|---|
| 144,673 | 2ba2a92ace74249379d27a134119603f | ROPE1**061917 | 1,917 | 2,018 | 102 | 2018-11-29 | 1917-06-16 | 101.4537988 |
| 125,808 | 578ae693be289de023125ddd2777dd1c | GARO1**012015 | 2,015 | 2,018 | 4 | 2015-01-07 | 2015-01-07 | 0.0000000 |
| 128,353 | 66e4d31c4c6575527f8ed58455396f17 | VICA1**071917 | 1,917 | 2,018 | 102 | 2017-07-24 | 1917-07-15 | 100.0246407 |
| 125,944 | 711029aaa5f478f2c55223d285eb84fe | SHMA1**082013 | 2,013 | 2,018 | 6 | 2016-01-13 | 2013-08-08 | 2.4312115 |
| 125,800 | 8d2dfe24c7a24d541a13b4e82b82eede | HEAV1**112014 | 2,014 | 2,018 | 4 | 2014-08-07 | 2014-11-10 | -0.2600958 |
| 125,778 | ad16844e62fd0a0db5ddd59ccffccbf6 | SUUB2**102013 | 2,013 | 2,018 | 6 | 2013-10-03 | 2013-10-10 | -0.0191650 |
| 105,661 | 0d5782868d35d58892a0f938813f7608 | EDHO1**052015 | 2,015 | 2,017 | 4 | 2015-05-04 | 2015-05-04 | 0.0000000 |
| 105,857 | 1fcf34aa0db73c4218e224628c6173f9 | GUVE1**082015 | 2,015 | 2,017 | 4 | 2015-08-20 | 2015-08-20 | 0.0000000 |
| 105,458 | 2cdd842e8b1102992ff2c060e7b46178 | CASA1**122014 | 2,014 | 2,017 | 4 | 2014-11-21 | 2014-12-12 | -0.0574949 |
| 106,128 | 32c4704bfeef5a559ca9c67197cee23e | JOSO1**092015 | 2,015 | 2,017 | 4 | 2015-11-27 | 2015-09-12 | 0.2080767 |
| 105,447 | 385db5fabdcc42c18df66d707507b4a8 | RIPL1**012014 | 2,014 | 2,017 | 5 | 2014-12-01 | 2014-01-26 | 0.8459959 |
| 115,192 | 4372e151fd421219f5122cc46b15b18b | VADI2**072014 | 2,014 | 2,017 | 5 | 2017-03-27 | 2014-07-06 | 2.7241615 |
| 105,492 | 560ad471cc24efe2380be130700783e2 | ROCH1**012015 | 2,015 | 2,017 | 4 | 2015-01-07 | 2015-01-02 | 0.0136893 |
| 106,134 | 68a1abebf175673e62b97b65fde63b50 | BRHE1**092015 | 2,015 | 2,017 | 4 | 2015-12-09 | 2015-09-28 | 0.1971253 |
| 109,874 | 6d533b6ebd408688d42997b791dd8a75 | MARA2**111917 | 1,917 | 2,017 | 102 | 2016-10-05 | 1917-11-04 | 98.9185489 |
| 105,628 | 6d672b5d02dada8fd6ad1c3a38a69b7f | LUGO2**022015 | 2,015 | 2,017 | 4 | 2015-05-06 | 2015-02-25 | 0.1916496 |
| 105,641 | 7bb2cbe20c6cfefb16c861d7bac904a5 | TIHE2**052015 | 2,015 | 2,017 | 4 | 2015-05-06 | 2015-05-04 | 0.0054757 |
| 105,847 | 87afef689812b1ad6f576f0e83e5c963 | DABU1**032015 | 2,015 | 2,017 | 4 | 2015-08-21 | 2015-03-04 | 0.4654346 |
| 105,787 | a26b1ac1007562c9e19cd5163a68c2ec | KAAN2**072015 | 2,015 | 2,017 | 4 | 2015-06-11 | 2015-07-25 | -0.1204654 |
| 105,599 | e89eb1528cbb255f7a94ade170a93768 | FRJA1**042015 | 2,015 | 2,017 | 4 | 2015-04-20 | 2015-04-23 | -0.0082136 |
| 92,324 | 067111045233f423b404adc621ae9f37 | JACO2**122015 | 2,015 | 2,016 | 3 | 2015-12-02 | 2015-12-02 | 0.0000000 |
| 89,933 | 06faceb13defbd9a1bb63e22913ab1bb | JALO2**102015 | 2,015 | 2,016 | 4 | 2015-10-09 | 2015-10-06 | 0.0082136 |
| 90,494 | 079ed7fb1f01ba66a7d3409808f3471c | SIOV2**012015 | 2,015 | 2,016 | 4 | 2015-10-31 | 2015-01-01 | 0.8295688 |
| 88,915 | 0d450685425ac7fc4e184894e1e84e22 | FESO1**032015 | 2,015 | 2,016 | 4 | 2015-07-10 | 2015-03-31 | 0.2765229 |
| 89,000 | 11bcfa643c44875d8bdcaf47536f8d21 | CHFI1**082015 | 2,015 | 2,016 | 4 | 2015-08-17 | 2015-08-17 | 0.0000000 |
| 90,666 | 11e10f01088fec73c3faf6c1e4c262d2 | NIGA1**022015 | 2,015 | 2,016 | 4 | 2015-11-02 | 2015-02-12 | 0.7200548 |
| 89,018 | 153b828278ea88dc5ab15039e3e0c882 | JONA1**012015 | 2,015 | 2,016 | 4 | 2015-08-13 | 2015-01-21 | 0.5585216 |
| 90,298 | 17427b747a8e5d8ecdcdec6a781a277b | MAZU1**102015 | 2,015 | 2,016 | 4 | 2015-10-27 | 2015-10-21 | 0.0164271 |
| 85,829 | 18d02fe910027e6dd0688cb544367604 | BEMO2**042014 | 2,014 | 2,016 | 5 | 2014-08-01 | 2014-04-16 | 0.2929500 |
| 87,968 | 18f1041924d48c9440b4b397267a58f2 | MAAL1**062015 | 2,015 | 2,016 | 4 | 2015-06-22 | 2015-06-04 | 0.0492813 |
| 89,092 | 1cca291c439af8de53eefaad88ffedde | DADU2**052015 | 2,015 | 2,016 | 4 | 2015-05-25 | 2015-05-25 | 0.0000000 |
| 88,058 | 1ccc23513d404cbc37a37b1bc3b7ce77 | RASE1**062015 | 2,015 | 2,016 | 4 | 2015-06-08 | 2015-06-01 | 0.0191650 |
| 89,952 | 1dfa0e65e45414b0dc071b61d1bac1a9 | PAGU2**082015 | 2,015 | 2,016 | 4 | 2015-09-30 | 2015-08-11 | 0.1368925 |
| 89,613 | 1e68079fe8042f39debe84e3f1661e58 | IVCA1**042015 | 2,015 | 2,016 | 4 | 2015-09-10 | 2015-04-09 | 0.4216290 |
| 88,696 | 1ec175566a7db6b94d4caf1b5b60be1e | ROFL1**052015 | 2,015 | 2,016 | 4 | 2015-08-06 | 2015-05-22 | 0.2080767 |
| 90,277 | 1ec3f2c2efb06ba95486d0324984a867 | MERO2**022015 | 2,015 | 2,016 | 4 | 2015-08-24 | 2015-02-13 | 0.5256674 |
| 87,458 | 26228558eb3142a325eb9793b7a7643c | GEPI1**052015 | 2,015 | 2,016 | 4 | 2015-05-19 | 2015-05-19 | 0.0000000 |
| 89,828 | 2b45294e123346196cd1849a73934b5f | MAEU2**092015 | 2,015 | 2,016 | 4 | 2015-10-01 | 2015-09-29 | 0.0054757 |
| 86,169 | 2e4323b185c2452a0c2d6592b1c04520 | ABAV1**082014 | 2,014 | 2,016 | 5 | 2014-12-12 | 2014-08-08 | 0.3449692 |
| 88,114 | 3694089f54b38b8d0a07079102a1e3dc | CLHE1**052015 | 2,015 | 2,016 | 4 | 2015-07-09 | 2015-05-06 | 0.1752225 |
| 85,971 | 3755bba9469ee445d50e20190fa83bbf | CLAL1**092014 | 2,014 | 2,016 | 5 | 2014-10-06 | 2014-09-30 | 0.0164271 |
| 91,609 | 3b604ebd59968de97237cf6a47a22502 | IVBO1**112015 | 2,015 | 2,016 | 4 | 2015-11-16 | 2015-11-04 | 0.0328542 |
| 89,772 | 3bb60d41dee218ae5ae3846057d48b95 | DACA2**092015 | 2,015 | 2,016 | 4 | 2015-09-11 | 2015-09-10 | 0.0027379 |
| 89,803 | 3d108204060b79bd179ed442cd81c510 | VAUR2**082015 | 2,015 | 2,016 | 4 | 2015-08-24 | 2015-08-07 | 0.0465435 |
| 86,860 | 3d58ce54ad57203b04f0fe7b8cb010d4 | MAVE1**032015 | 2,015 | 2,016 | 4 | 2015-03-02 | 2015-03-25 | -0.0629706 |
| 88,595 | 43ff82a0657a99412f9af20ed2e9d79d | JORE1**082015 | 2,015 | 2,016 | 4 | 2015-08-05 | 2015-08-04 | 0.0027379 |
| 86,035 | 451cc0dcd48441aafd693dd477bdaa88 | CLSO1**092014 | 2,014 | 2,016 | 5 | 2014-11-19 | 2014-09-19 | 0.1670089 |
| 90,792 | 46923f82f46c14595e0b398ed4248eae | PACO2**112015 | 2,015 | 2,016 | 3 | 2015-11-17 | 2015-11-17 | 0.0000000 |
| 88,815 | 48358f8da531b84db0c85f3639a09a04 | LUCA1**022015 | 2,015 | 2,016 | 4 | 2015-08-25 | 2015-02-15 | 0.5229295 |
| 90,247 | 4c7781ef7fdf301ebff0b016367c4df4 | HEIB1**092015 | 2,015 | 2,016 | 4 | 2015-10-01 | 2015-09-28 | 0.0082136 |
| 85,946 | 4fbe50d4e687e3fed9bb73a1b50e1783 | JAES1**052014 | 2,014 | 2,016 | 5 | 2014-10-14 | 2014-05-22 | 0.3969884 |
| 90,139 | 553ac3927dd9ab869f240c5da4f95361 | PATA2**072015 | 2,015 | 2,016 | 4 | 2015-09-05 | 2015-07-08 | 0.1615332 |
| 85,601 | 577e7eaf4ebd8d1bb224798636dd13c5 | PAOL1**012014 | 2,014 | 2,016 | 5 | 2014-04-01 | 2014-01-06 | 0.2327173 |
| 91,652 | 5af954ff3acde4f7d82caee53f35ddc3 | JUVA2**092015 | 2,015 | 2,016 | 4 | 2015-10-26 | 2015-09-20 | 0.0985626 |
| 87,482 | 5d8091081085c2019f231071c383dea0 | JOGU1**042015 | 2,015 | 2,016 | 4 | 2015-05-04 | 2015-04-22 | 0.0328542 |
| 86,156 | 60b094b379debfc27e4accd6d60cd354 | JOMA2**082014 | 2,014 | 2,016 | 5 | 2014-12-01 | 2014-08-28 | 0.2600958 |
| 88,306 | 65f57f0a6a732ea3780954d538a75428 | SECA1**032015 | 2,015 | 2,016 | 4 | 2015-07-07 | 2015-03-17 | 0.3066393 |
| 87,019 | 675db915f9b72ca8209af209da1a5b09 | JOAR1**022015 | 2,015 | 2,016 | 4 | 2015-04-20 | 2015-02-16 | 0.1724846 |
| 97,904 | 6d533b6ebd408688d42997b791dd8a75 | MARA2**111917 | 1,917 | 2,016 | 102 | 2016-05-05 | 1917-11-04 | 98.4996578 |
| 88,390 | 70597f2a60f6148d50cf465be1a3edb5 | MAVI1**012015 | 2,015 | 2,016 | 4 | 2015-07-29 | 2015-01-06 | 0.5585216 |
| 86,097 | 7174125eeee1dee2ecd1867301ccb51d | PASO1**112014 | 2,014 | 2,016 | 5 | 2014-11-11 | 2014-11-02 | 0.0246407 |
| 85,514 | 72d3bf07e1cfb2e15f7c0f186fa3062d | KARI2**072013 | 2,013 | 2,016 | 6 | 2013-12-11 | 2013-07-21 | 0.3915127 |
| 89,286 | 78b53d7e099c895d0b0c9b0f73188539 | HUPO1**092015 | 2,015 | 2,016 | 4 | 2015-09-03 | 2015-09-08 | -0.0136893 |
| 90,982 | 7fbbdc4747c2ae7f8c11e215ef386645 | NOME1**092015 | 2,015 | 2,016 | 4 | 2015-11-18 | 2015-09-21 | 0.1587953 |
| 90,316 | 84959e1b6bdc461afd0af4669917bf52 | YERA2**072015 | 2,015 | 2,016 | 4 | 2015-10-29 | 2015-07-13 | 0.2956879 |
| 90,101 | 8ce26be094be2c7073d8e0d61084747c | ANNE1**102015 | 2,015 | 2,016 | 4 | 2015-10-13 | 2015-10-13 | 0.0000000 |
| 85,602 | 8f4f8d015d8c33c3f827fda19865c027 | JUSA1**012014 | 2,014 | 2,016 | 5 | 2014-03-10 | 2014-01-24 | 0.1232033 |
| 89,724 | 8f7e43aaea738d130d9cc03b55666295 | VESO2**082015 | 2,015 | 2,016 | 4 | 2015-09-08 | 2015-08-22 | 0.0465435 |
| 90,907 | 92d3465484cf355dc4e3127ebcf59720 | CRAL1**112015 | 2,015 | 2,016 | 4 | 2015-09-07 | 2015-11-05 | -0.1615332 |
| 85,877 | 92f2857a6e2b45b22cc31d704b77f856 | MAAR2**062014 | 2,014 | 2,016 | 5 | 2014-09-15 | 2014-06-28 | 0.2162902 |
| 91,762 | 940072c88254c0601c2f9af1d52bdfa8 | JOCO1**092015 | 2,015 | 2,016 | 4 | 2015-12-16 | 2015-09-29 | 0.2135524 |
| 86,356 | 94dc2d67662256121c25b1f22865d877 | LUPE1**022014 | 2,014 | 2,016 | 5 | 2015-01-02 | 2014-02-03 | 0.9117043 |
| 88,024 | 9630831102f1ea74e3bd52359c335933 | PAVI1**062015 | 2,015 | 2,016 | 4 | 2015-06-08 | 2015-06-30 | -0.0602327 |
| 91,220 | 99184c090c1d5c6b346ee82ab4b267ff | JUAS1**112015 | 2,015 | 2,016 | 3 | 2015-11-18 | 2015-11-14 | 0.0109514 |
| 90,474 | 9be202d4f43568a978050002a518f718 | UBSA2**092015 | 2,015 | 2,016 | 4 | 2015-09-01 | 2015-09-01 | 0.0000000 |
| 89,525 | 9d1d56fca162aa59f99988e6cafcc296 | JOAR1**092015 | 2,015 | 2,016 | 4 | 2015-09-29 | 2015-09-29 | 0.0000000 |
| 86,750 | 9eedcdd8ada0ac46c0457bd4c55f9dea | JUGU1**022015 | 2,015 | 2,016 | 4 | 2015-02-11 | 2015-02-15 | -0.0109514 |
| 88,716 | a254177942d2718cb7382ba4d0b5464e | PAZA2**082015 | 2,015 | 2,016 | 4 | 2015-08-19 | 2015-08-05 | 0.0383299 |
| 91,650 | a2593b9c1e36f77aa936f7a1a820d4cd | JUGO1**112015 | 2,015 | 2,016 | 3 | 2015-11-12 | 2015-11-12 | 0.0000000 |
| 91,059 | a537681987ddbe972f0f090b10a699c3 | RESA1**102015 | 2,015 | 2,016 | 4 | 2015-10-14 | 2015-10-08 | 0.0164271 |
| 91,601 | a5b8d096bb62e725e52b61fb28aed343 | EDLE1**032015 | 2,015 | 2,016 | 4 | 2015-12-01 | 2015-03-26 | 0.6844627 |
| 90,723 | a664b554d169c5f88b243b8c5f47235d | GAPE1**062015 | 2,015 | 2,016 | 4 | 2015-11-09 | 2015-06-22 | 0.3832991 |
| 88,178 | add12d3ddf9271f589c627bbc79c4579 | MICA1**072015 | 2,015 | 2,016 | 4 | 2015-07-20 | 2015-07-20 | 0.0000000 |
| 87,410 | afa9a46f43298983918d3f5a9d821786 | ALBR1**052015 | 2,015 | 2,016 | 4 | 2015-05-19 | 2015-05-19 | 0.0000000 |
| 85,793 | b1bb5f860c2d5e6ece18574ccde902fc | AROR2**072014 | 2,014 | 2,016 | 5 | 2014-07-24 | 2014-07-24 | 0.0000000 |
| 86,140 | b1c056a8bab379d545d8e82621f329f9 | ANAL2**022014 | 2,014 | 2,016 | 5 | 2014-12-10 | 2014-02-19 | 0.8049281 |
| 88,543 | b9ea83c2b1fbdb556749399b4efd327f | JAAL1**102014 | 2,014 | 2,016 | 5 | 2015-05-22 | 2014-10-22 | 0.5804244 |
| 90,239 | bbad2b97c37995c0bd0acc4d7086cd76 | FRCA1**012015 | 2,015 | 2,016 | 4 | 2015-10-29 | 2015-01-16 | 0.7830253 |
| 86,749 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**032015 | 2,015 | 2,016 | 4 | 2015-03-27 | 2015-03-06 | 0.0574949 |
| 86,441 | bff381e310734e33e4fc846f7360ee77 | BEGA1**122014 | 2,014 | 2,016 | 4 | 2014-12-15 | 2014-12-15 | 0.0000000 |
| 87,205 | c1a8b024d7bcd74211fb7bf8a3d2d152 | ORAR2**022015 | 2,015 | 2,016 | 4 | 2015-02-18 | 2015-02-18 | 0.0000000 |
| 91,942 | c4d30a1c4557dc3a71da5f034ba3fc57 | JUCU1**112015 | 2,015 | 2,016 | 3 | 2015-11-27 | 2015-11-27 | 0.0000000 |
| 88,611 | c93824e1813aef5dcc4f242e999a6473 | PAAD1**072014 | 2,014 | 2,016 | 5 | 2015-08-05 | 2014-07-27 | 1.0239562 |
| 87,738 | c9c50b35412a1b9a7a1ff05c6291897d | CAGO2**022015 | 2,015 | 2,016 | 4 | 2015-06-08 | 2015-02-18 | 0.3011636 |
| 87,302 | cf1c08352647546c64c5e9db55c3c7d9 | JOLU1**052015 | 2,015 | 2,016 | 4 | 2015-05-14 | 2015-05-14 | 0.0000000 |
| 87,545 | d062b037a6143d839d0cade6d0e78880 | DIOR1**092014 | 2,014 | 2,016 | 5 | 2015-05-04 | 2014-09-18 | 0.6242300 |
| 92,276 | d196f8ff1ac48677345bccd7c76b7fea | NICO2**102015 | 2,015 | 2,016 | 4 | 2015-12-21 | 2015-10-07 | 0.2053388 |
| 88,262 | d2ed9aa7d6555131b46251846e8b8e7b | RUCA2**072015 | 2,015 | 2,016 | 4 | 2015-07-27 | 2015-07-27 | 0.0000000 |
| 90,168 | d50338c03da03ab872fb654a5f38c86f | YEBE2**082015 | 2,015 | 2,016 | 4 | 2015-10-15 | 2015-08-05 | 0.1943874 |
| 88,770 | d5f73b599c69578e2436b8292eaa8cf2 | MAAS2**062015 | 2,015 | 2,016 | 4 | 2015-08-01 | 2015-06-15 | 0.1286790 |
| 89,091 | d83f8f183a061c8664e76b2a4e629a8e | CRPE1**072015 | 2,015 | 2,016 | 4 | 2015-08-17 | 2015-07-20 | 0.0766598 |
| 89,744 | d98d3ae82355931d0493ebd249120d23 | GUSA1**062015 | 2,015 | 2,016 | 4 | 2015-09-28 | 2015-06-10 | 0.3011636 |
| 87,412 | dc8d938d47360d6e85b4c040a00696eb | LUIB1**042015 | 2,015 | 2,016 | 4 | 2015-03-30 | 2015-04-21 | -0.0602327 |
| 85,982 | ec17a1effd2c89815cc0620b0652a13b | GEAL2**072014 | 2,014 | 2,016 | 5 | 2014-10-13 | 2014-07-14 | 0.2491444 |
| 88,043 | eee917660c6c73d0554e56dfddf8e543 | ARSO1**062015 | 2,015 | 2,016 | 4 | 2015-06-01 | 2015-06-03 | -0.0054757 |
| 90,260 | f02435c816333b972c7e14ec4cf3a6ad | LUPA1**012015 | 2,015 | 2,016 | 4 | 2015-10-29 | 2015-01-10 | 0.7994524 |
| 89,346 | f739264a92a4019c5875a5dc2cfa6e9a | CEME1**092015 | 2,015 | 2,016 | 4 | 2015-09-02 | 2015-09-02 | 0.0000000 |
| 87,241 | f88e060de83599227189511484dd9b44 | CAAR1**042015 | 2,015 | 2,016 | 4 | 2015-04-06 | 2015-04-06 | 0.0000000 |
| 91,964 | f9408fbf7e7f69d88f494c002795d85c | ROGO1**092015 | 2,015 | 2,016 | 4 | 2015-12-16 | 2015-09-19 | 0.2409309 |
| 92,164 | fbd1d4d518cf49e6d79dba77657d10f9 | FIGA2**122015 | 2,015 | 2,016 | 3 | 2015-12-30 | 2015-12-16 | 0.0383299 |
| 72,692 | 0253e2fa101b8fefaf7cd01cd69713cd | CLAV1**022015 | 2,015 | 2,015 | 4 | 2015-02-11 | 2015-02-11 | 0.0000000 |
| 79,569 | 031a3f135cc8da72da4da70e2111531a | ISSA1**072015 | 2,015 | 2,015 | 4 | 2015-07-13 | 2015-07-13 | 0.0000000 |
| 69,740 | 0337bce679b733b0e7356ab12288d068 | JORO1**091928 | 1,928 | 2,015 | 91 | 2014-11-13 | 1928-09-18 | 86.1519507 |
| 75,275 | 04b4bffa36994c2630693f4a54df5b67 | MAGO1**042015 | 2,015 | 2,015 | 4 | 2015-04-01 | 2015-04-01 | 0.0000000 |
| 68,446 | 0597f7749e119dd2d9985d9d32ca1d40 | VAMO1**082014 | 2,014 | 2,015 | 5 | 2014-08-07 | 2014-08-07 | 0.0000000 |
| 83,045 | 0616f30596be9524fbee513d685d2932 | ROBE1**092015 | 2,015 | 2,015 | 4 | 2015-09-15 | 2015-09-15 | 0.0000000 |
| 66,658 | 064ea650536bddb515573f1261b3ff19 | JEOL2**032014 | 2,014 | 2,015 | 5 | 2014-03-11 | 2014-03-11 | 0.0000000 |
| 76,089 | 0bb343da15bba120555cc4de136c9719 | WACH1**042015 | 2,015 | 2,015 | 4 | 2015-04-30 | 2015-04-28 | 0.0054757 |
| 67,700 | 0c3e66e2db04da0d3423a9264874458c | MAFU1**062014 | 2,014 | 2,015 | 5 | 2014-06-24 | 2014-06-23 | 0.0027379 |
| 83,519 | 10a7d484048197952a402d58199638f0 | ROES2**102015 | 2,015 | 2,015 | 4 | 2015-10-15 | 2015-10-05 | 0.0273785 |
| 71,824 | 1477c904ac5398a6e67150861ef39fd1 | LUCE1**012015 | 2,015 | 2,015 | 4 | 2015-01-09 | 2015-01-09 | 0.0000000 |
| 72,476 | 16344f388ae51c7cc12cc550acd2ff95 | JOSA1**022015 | 2,015 | 2,015 | 4 | 2015-02-09 | 2015-02-09 | 0.0000000 |
| 80,128 | 1712f12578a18387328d0de6bf269671 | OSFR1**082015 | 2,015 | 2,015 | 4 | 2015-08-03 | 2015-08-16 | -0.0355921 |
| 70,629 | 19b20aa4a758b87ae992597fa0f8e166 | EVFU1**012014 | 2,014 | 2,015 | 5 | 2014-12-03 | 2014-01-27 | 0.8487337 |
| 66,987 | 1b5a4c08bfc9db53e71419ed6b7418c2 | MANA1**022014 | 2,014 | 2,015 | 5 | 2014-03-24 | 2014-02-25 | 0.0739220 |
| 79,986 | 21803297911589576d8ddacd79b5d55d | CAMA2**082015 | 2,015 | 2,015 | 4 | 2015-08-10 | 2015-08-04 | 0.0164271 |
| 72,525 | 23c1b3a412e3b90dd0b06389df178058 | CAAR1**012014 | 2,014 | 2,015 | 5 | 2015-02-11 | 2014-01-23 | 1.0513347 |
| 76,765 | 23d171a1e81628ce29ca5c83d29ac59b | CRMA1**032015 | 2,015 | 2,015 | 4 | 2015-05-12 | 2015-03-28 | 0.1232033 |
| 83,832 | 2576e8499b6e9b9c0eb33037741df8d6 | ALIN1**112015 | 2,015 | 2,015 | 3 | 2015-11-19 | 2015-11-19 | 0.0000000 |
| 73,280 | 25c36b6820ac514094c458ba22918452 | ELVI2**112014 | 2,014 | 2,015 | 4 | 2015-02-11 | 2014-11-22 | 0.2217659 |
| 74,358 | 26e45f32b4f6ff42ec7d6d46d7aff22a | RISO1**032015 | 2,015 | 2,015 | 4 | 2015-03-25 | 2015-03-17 | 0.0219028 |
| 70,848 | 284cbae307136f57dc7d41335d55d58d | MIVA1**102014 | 2,014 | 2,015 | 5 | 2014-12-01 | 2014-10-20 | 0.1149897 |
| 69,260 | 295ffae266ef2715937d60071b8014cc | JOAN1**102014 | 2,014 | 2,015 | 5 | 2014-10-16 | 2014-10-28 | -0.0328542 |
| 68,841 | 2b5678acbd5e4353d3e9fb911de43ab7 | RURI1**092014 | 2,014 | 2,015 | 5 | 2014-09-02 | 2014-09-16 | -0.0383299 |
| 68,405 | 2b6acccc2cc4d497fb01d0045a41b8f5 | CRVA1**072014 | 2,014 | 2,015 | 5 | 2014-08-01 | 2014-07-24 | 0.0219028 |
| 70,353 | 2c2ee233da3f8c82ce2086568d31c26f | DAAS1**062014 | 2,014 | 2,015 | 5 | 2014-11-24 | 2014-06-26 | 0.4134155 |
| 74,306 | 2f9c6bdeb0243e28bee1b104c0253940 | IGRE1**032015 | 2,015 | 2,015 | 4 | 2015-03-17 | 2015-03-27 | -0.0273785 |
| 75,884 | 302ed871d749f5bc3c73ae857a61a04f | HEPA1**042015 | 2,015 | 2,015 | 4 | 2015-04-28 | 2015-04-28 | 0.0000000 |
| 70,894 | 352d4af019cf9259d17b9e617e84374a | FEMO1**052014 | 2,014 | 2,015 | 5 | 2014-12-22 | 2014-05-23 | 0.5831622 |
| 81,682 | 3536ecb01a030126c6ff59f315c95682 | OSBU1**092015 | 2,015 | 2,015 | 4 | 2015-09-23 | 2015-09-02 | 0.0574949 |
| 78,287 | 35d671008a3675d718729ae27236f451 | LUTO1**102014 | 2,014 | 2,015 | 5 | 2015-03-25 | 2014-10-10 | 0.4544832 |
| 79,992 | 39dd71d814e69327a313cdef2d7cd806 | FEPI1**072015 | 2,015 | 2,015 | 4 | 2015-08-10 | 2015-07-27 | 0.0383299 |
| 72,285 | 3a8eb8edf401af5695c140f3a5698829 | DIRA1**012015 | 2,015 | 2,015 | 4 | 2015-01-30 | 2015-01-30 | 0.0000000 |
| 71,342 | 3c78a6af51709bf3f9a0c5ae9bed4a95 | LUMO1**012015 | 2,015 | 2,015 | 4 | 2014-12-22 | 2015-01-17 | -0.0711841 |
| 84,895 | 3e59c66a1aebcb3d9fdfa1d3bbc1a85c | ROAL1**012015 | 2,015 | 2,015 | 4 | 2015-12-09 | 2015-01-10 | 0.9117043 |
| 80,281 | 3f77045375df8c1ce7e74ae8c36846ff | JACA1**062015 | 2,015 | 2,015 | 4 | 2015-08-03 | 2015-06-16 | 0.1314168 |
| 78,839 | 40dca59840a518a1c1419b462180edd2 | ITQU1**042015 | 2,015 | 2,015 | 4 | 2015-06-18 | 2015-04-02 | 0.2108145 |
| 81,439 | 4124ab2d1b1d4b06b9fe7c82f35087c2 | HERO2**062015 | 2,015 | 2,015 | 4 | 2015-09-03 | 2015-06-16 | 0.2162902 |
| 75,182 | 449ace14bc362c285c7a7a6a648240a0 | MAQU1**032015 | 2,015 | 2,015 | 4 | 2015-03-17 | 2015-03-06 | 0.0301164 |
| 80,980 | 44d3b44b5e1af81046b94f18b9bf6719 | HAST1**012015 | 2,015 | 2,015 | 4 | 2015-08-10 | 2015-01-26 | 0.5366188 |
| 73,097 | 4642a23aada9426b78c649b329597857 | BASA1**022015 | 2,015 | 2,015 | 4 | 2015-02-20 | 2015-02-13 | 0.0191650 |
| 75,942 | 47ef1ed889728efa8c0f2deb0a220669 | MAVI2**032015 | 2,015 | 2,015 | 4 | 2015-04-07 | 2015-03-16 | 0.0602327 |
| 81,762 | 499c84ea7b979ac92d9676d9733473cb | LUFA1**092015 | 2,015 | 2,015 | 4 | 2015-09-28 | 2015-09-28 | 0.0000000 |
| 74,269 | 49fa8657fc41e47ea2b0eb0262cd016c | JUGO1**082014 | 2,014 | 2,015 | 5 | 2015-03-05 | 2014-08-06 | 0.5776865 |
| 70,612 | 4a0cdcf2a03c76f799020c095f4564f2 | HERI1**122013 | 2,013 | 2,015 | 5 | 2014-12-01 | 2013-12-02 | 0.9965777 |
| 67,865 | 4a2e82359ab80f4110208bc1ef219894 | FRMI1**072014 | 2,014 | 2,015 | 5 | 2014-07-28 | 2014-07-28 | 0.0000000 |
| 73,331 | 4abfecb81b952e2f8ec21a770a51c2a2 | RARO1**022015 | 2,015 | 2,015 | 4 | 2015-03-02 | 2015-02-27 | 0.0082136 |
| 79,686 | 4ae1f1d592ec4b436a529f14d4fcf81c | LOMA2**072015 | 2,015 | 2,015 | 4 | 2015-07-30 | 2015-07-08 | 0.0602327 |
| 65,989 | 4b3d323421de18da767233bda9b0bc87 | CLAL1**112013 | 2,013 | 2,015 | 5 | 2013-11-07 | 2013-11-07 | 0.0000000 |
| 80,190 | 4ba0607a91d0e839fbd5427c855d30ec | DICE1**022014 | 2,014 | 2,015 | 5 | 2015-08-17 | 2014-02-06 | 1.5249829 |
| 67,890 | 4c3b027aaab3ebb21acd62330d1292f2 | JOPI1**052014 | 2,014 | 2,015 | 5 | 2014-06-09 | 2014-05-14 | 0.0711841 |
| 76,426 | 4c4865e8e336059576dafff791406b3d | ORMU1**092014 | 2,014 | 2,015 | 5 | 2015-05-14 | 2014-09-12 | 0.6680356 |
| 68,915 | 500f972bc4189dcc23b1fa48d3f0bf91 | GLHU2**032014 | 2,014 | 2,015 | 5 | 2014-09-30 | 2014-03-25 | 0.5174538 |
| 70,334 | 519508aebc18c11a82240a788f40231c | MAGO1**112014 | 2,014 | 2,015 | 4 | 2014-11-21 | 2014-11-29 | -0.0219028 |
| 73,543 | 522a8c3d145abd04ebcca385a72f6fd4 | JUAL1**072014 | 2,014 | 2,015 | 5 | 2015-03-04 | 2014-07-27 | 0.6023272 |
| 83,668 | 5669a5838dc918a38827778a7f028dc1 | JOLA1**042015 | 2,015 | 2,015 | 4 | 2015-11-05 | 2015-04-24 | 0.5338809 |
| 72,964 | 567ff79213fc81839632ea14ad3715ae | RIMO1**042014 | 2,014 | 2,015 | 5 | 2015-02-20 | 2014-04-10 | 0.8651608 |
| 79,777 | 56b3ce1aba672f5ac1f78a849709d430 | LUVI1**062015 | 2,015 | 2,015 | 4 | 2015-07-09 | 2015-06-21 | 0.0492813 |
| 66,253 | 56e428e0a109d38555aa56f80298b55f | NEOR1**092013 | 2,013 | 2,015 | 6 | 2014-01-22 | 2013-09-29 | 0.3148528 |
| 80,224 | 572a0c1831cd90fd046f1ebc1d67994a | LUGO1**082015 | 2,015 | 2,015 | 4 | 2015-08-10 | 2015-08-10 | 0.0000000 |
| 66,707 | 5985ca3d94a92d6159abbcf091a8505e | CRTO1**032014 | 2,014 | 2,015 | 5 | 2014-03-19 | 2014-03-14 | 0.0136893 |
| 69,414 | 5acc266b551b73f526c5350f441d64cb | SECO1**102014 | 2,014 | 2,015 | 5 | 2014-09-01 | 2014-10-02 | -0.0848734 |
| 69,931 | 5bf2ffac7d9611eaca35ca015b8da022 | GUGU1**102014 | 2,014 | 2,015 | 5 | 2014-11-19 | 2014-10-22 | 0.0766598 |
| 80,440 | 5c42f484a032a08deae9a0774beb9549 | MARO1**112014 | 2,014 | 2,015 | 4 | 2015-08-06 | 2014-11-09 | 0.7392197 |
| 70,049 | 5d1ddee3c47756a7faacd4eb6fc05693 | CLHA1**042014 | 2,014 | 2,015 | 5 | 2014-11-03 | 2014-04-22 | 0.5338809 |
| 82,297 | 5ea1c7ba606efe2df58e49e360312e75 | ROZU1**092015 | 2,015 | 2,015 | 4 | 2015-09-22 | 2015-09-22 | 0.0000000 |
| 76,684 | 5f2e9af63730ca0c5f5e37f61595f7d1 | ROSA1**042015 | 2,015 | 2,015 | 4 | 2015-04-22 | 2015-04-22 | 0.0000000 |
| 66,001 | 5f3f15beb64e965bb3c6e89f1936d3eb | RIVA1**042013 | 2,013 | 2,015 | 6 | 2013-11-05 | 2013-04-15 | 0.5585216 |
| 76,629 | 636046ed13f419997e2c05bfd3ac6ae6 | MOAR1**012015 | 2,015 | 2,015 | 4 | 2015-04-23 | 2015-01-23 | 0.2464066 |
| 69,369 | 638dc4fb2f068057ea83872b81b939c1 | MAMU2**102014 | 2,014 | 2,015 | 5 | 2014-10-13 | 2014-10-13 | 0.0000000 |
| 67,894 | 65e32b6aaa8e3cc506bdd56a69b355d4 | VAVI2**072014 | 2,014 | 2,015 | 5 | 2014-07-19 | 2014-07-19 | 0.0000000 |
| 69,781 | 698507f0316d47f1c63f9e104554cd40 | RUAG1**112014 | 2,014 | 2,015 | 5 | 2014-11-18 | 2014-11-04 | 0.0383299 |
| 74,586 | 6d6a0565c927a30d8fd5a12567a8a5ee | CASA2**032015 | 2,015 | 2,015 | 4 | 2015-02-26 | 2015-03-24 | -0.0711841 |
| 81,596 | 71a82aae5397aa241fa4dada09813f9f | SEPA1**022015 | 2,015 | 2,015 | 4 | 2015-08-25 | 2015-02-14 | 0.5256674 |
| 76,917 | 71c03223af1ce120cdfb9c0b55b4db53 | ROTR1**052015 | 2,015 | 2,015 | 4 | 2015-05-04 | 2015-05-20 | -0.0438056 |
| 77,489 | 71ddf29f1cc888fdc73304ec5d6aa270 | FRME1**012015 | 2,015 | 2,015 | 4 | 2015-01-29 | 2015-01-09 | 0.0547570 |
| 66,096 | 753861a2ae44c51b6dc7096f99c15b67 | MAFL1**122013 | 2,013 | 2,015 | 5 | 2013-12-04 | 2013-12-04 | 0.0000000 |
| 70,882 | 760ab7c11c153e3f46a49b28e7d28109 | VIMA1**122014 | 2,014 | 2,015 | 4 | 2014-12-01 | 2014-12-01 | 0.0000000 |
| 79,422 | 78137d8b5d25f99a46ac5e27f740dfa9 | MADI2**072015 | 2,015 | 2,015 | 4 | 2015-07-27 | 2015-07-27 | 0.0000000 |
| 74,157 | 784296c4ebb2cdad231eaa4ea6e8280b | GHSO2**032015 | 2,015 | 2,015 | 4 | 2015-03-05 | 2015-03-05 | 0.0000000 |
| 74,523 | 7a63ad8ba5f2f5794d1a5193b0f3df27 | ROAG1**012015 | 2,015 | 2,015 | 4 | 2015-03-10 | 2015-01-15 | 0.1478439 |
| 79,759 | 7c7a382fbee4f066ddc8afb03be3c826 | EVGA2**062015 | 2,015 | 2,015 | 4 | 2015-06-04 | 2015-06-04 | 0.0000000 |
| 66,646 | 7cecf6ed64eb80f86f0d2db834fd85dc | ARFE1**032014 | 2,014 | 2,015 | 5 | 2014-03-05 | 2014-03-04 | 0.0027379 |
| 76,575 | 804947be8b59ba91b7600127e11ea3a1 | SEVA1**052015 | 2,015 | 2,015 | 4 | 2015-05-04 | 2015-05-21 | -0.0465435 |
| 75,178 | 80c08f09810f85cf3494b3475b4855fc | NIGA2**032015 | 2,015 | 2,015 | 4 | 2015-04-01 | 2015-03-26 | 0.0164271 |
| 75,311 | 80f24bdee1dead2b03206b20db9eed95 | JOVI1**042015 | 2,015 | 2,015 | 4 | 2015-04-23 | 2015-04-13 | 0.0273785 |
| 81,288 | 82fbe76a90e5ec2d518f1f4b01ed76cc | DATA1**092015 | 2,015 | 2,015 | 4 | 2015-09-08 | 2015-09-08 | 0.0000000 |
| 79,903 | 84fca3988c6479194fd5709bf61e0139 | MIVI1**052015 | 2,015 | 2,015 | 4 | 2015-08-03 | 2015-05-30 | 0.1779603 |
| 66,136 | 859278a1dab22f623200a8fb82cc88eb | JORO1**112013 | 2,013 | 2,015 | 5 | 2013-12-05 | 2013-11-26 | 0.0246407 |
| 67,168 | 86ee53ec9a2b925edcb11152db6ca7e2 | CAVE1**012014 | 2,014 | 2,015 | 5 | 2014-05-26 | 2014-01-19 | 0.3477070 |
| 71,913 | 8933013b58f550a8a72b9d4bc7f694c5 | ZUNA2**062014 | 2,014 | 2,015 | 5 | 2015-01-02 | 2014-06-10 | 0.5639973 |
| 78,195 | 8b9ede9e8fda1c93f5864009a1e18767 | JUBA1**062015 | 2,015 | 2,015 | 4 | 2015-06-26 | 2015-06-26 | 0.0000000 |
| 67,050 | 8beb99b458dcb70a2c6bdac15d1ffae8 | HICA2**032014 | 2,014 | 2,015 | 5 | 2014-05-19 | 2014-03-03 | 0.2108145 |
| 76,822 | 8e3ee020d0e375a5465551855beef0d9 | IBFR1**052015 | 2,015 | 2,015 | 4 | 2015-05-27 | 2015-05-27 | 0.0000000 |
| 76,817 | 8e5281ff55f663f7f125e66b1eed5e30 | CLNE1**052015 | 2,015 | 2,015 | 4 | 2015-05-27 | 2015-05-23 | 0.0109514 |
| 83,465 | 8e572a0351477ce0b449d79e728935c3 | ANSE2**102015 | 2,015 | 2,015 | 4 | 2015-10-20 | 2015-10-20 | 0.0000000 |
| 69,801 | 8f0cf60837bebad31c04b86f96f2fc23 | EMFR1**062014 | 2,014 | 2,015 | 5 | 2014-10-28 | 2014-06-26 | 0.3394935 |
| 77,294 | 9097ba34be47c5e4769cbb380b1a19c3 | SOHU2**052015 | 2,015 | 2,015 | 4 | 2015-05-08 | 2015-05-06 | 0.0054757 |
| 80,158 | 92c8a023b443094c1c8a30e73c8d4d49 | ANIB1**032015 | 2,015 | 2,015 | 4 | 2015-08-18 | 2015-03-08 | 0.4462697 |
| 69,826 | 93d59d2ed7fbf4af1de869edfc63fc65 | NANU2**112014 | 2,014 | 2,015 | 5 | 2014-11-04 | 2014-11-04 | 0.0000000 |
| 69,296 | 950e158fe666407f88c577bd7615dfd2 | DAMU2**092014 | 2,014 | 2,015 | 5 | 2014-10-21 | 2014-09-30 | 0.0574949 |
| 84,891 | 95da9c51b0a9acafac6c4da28a96d3fa | GURI1**112015 | 2,015 | 2,015 | 3 | 2015-12-01 | 2015-11-08 | 0.0629706 |
| 66,790 | 971bb94af6c2953cfa47d01d40c25a3b | SETA1**082013 | 2,013 | 2,015 | 6 | 2014-04-15 | 2013-08-13 | 0.6707734 |
| 68,693 | 9816684f0ad904d3a326d6f567e6dba9 | EDSA1**092014 | 2,014 | 2,015 | 5 | 2014-09-11 | 2014-09-19 | -0.0219028 |
| 80,293 | 98a06fe9e54997548d1a404274857dd4 | LULI1**042015 | 2,015 | 2,015 | 4 | 2015-05-20 | 2015-04-02 | 0.1314168 |
| 71,367 | 9a7094f7872f46a3f95bc811141ab0b1 | CAHO1**012015 | 2,015 | 2,015 | 4 | 2015-01-29 | 2015-01-05 | 0.0657084 |
| 69,711 | 9b9700657d2d1f743c15748be8635987 | ROCA1**072014 | 2,014 | 2,015 | 5 | 2014-11-10 | 2014-07-07 | 0.3449692 |
| 83,946 | 9d13f7974119875c68872c9bb1315169 | CRGA1**102015 | 2,015 | 2,015 | 4 | 2015-10-20 | 2015-10-22 | -0.0054757 |
| 68,241 | 9d4067490872679cabd325391f43973a | BOCA1**082014 | 2,014 | 2,015 | 5 | 2014-03-24 | 2014-08-11 | -0.3832991 |
| 66,596 | a0c04efc4020b66bc9e202d870848f7a | SOMO2**032014 | 2,014 | 2,015 | 5 | 2014-03-13 | 2014-03-13 | 0.0000000 |
| 77,309 | a0c21e91c5df0785a42f2800657231db | RASE1**052015 | 2,015 | 2,015 | 4 | 2015-06-01 | 2015-05-12 | 0.0547570 |
| 69,538 | a444a079cae143f4c1a81333206b1fa2 | CRCE1**092014 | 2,014 | 2,015 | 5 | 2014-10-30 | 2014-09-10 | 0.1368925 |
| 74,691 | a6e602feb838ea9b7392e5134f66acb7 | RILI1**022015 | 2,015 | 2,015 | 4 | 2015-03-02 | 2015-02-25 | 0.0136893 |
| 72,298 | a73c7452763307541b29b174fcfeb8c8 | JEMO2**092014 | 2,014 | 2,015 | 5 | 2015-02-04 | 2014-09-21 | 0.3723477 |
| 70,012 | aa55d971c98f1d169262f93fbeb6860c | HEMU1**112014 | 2,014 | 2,015 | 4 | 2014-11-26 | 2014-11-26 | 0.0000000 |
| 73,483 | ae9d88ab75abd959fe3462608dc7702f | GUGA1**032013 | 2,013 | 2,015 | 6 | 2015-02-24 | 2013-03-28 | 1.9110198 |
| 68,930 | af102bfd448a47b7624e89ce6df6acec | ROCO1**062014 | 2,014 | 2,015 | 5 | 2014-09-01 | 2014-06-10 | 0.2272416 |
| 77,067 | affbdb3a781e3be1a5aa20966d2cc696 | DAVE1**052015 | 2,015 | 2,015 | 4 | 2015-05-27 | 2015-05-27 | 0.0000000 |
| 81,022 | b05925d3aec79d9c5328ce69353e0fdd | UBFU2**082015 | 2,015 | 2,015 | 4 | 2015-08-11 | 2015-08-11 | 0.0000000 |
| 82,460 | b36bc9b83aee187478fa1c1b30435529 | ASRO2**082015 | 2,015 | 2,015 | 4 | 2015-10-07 | 2015-08-15 | 0.1451061 |
| 66,561 | b9a7dc1763b1eff304d698a26d45987a | PASH2**032014 | 2,014 | 2,015 | 5 | 2014-03-17 | 2014-03-17 | 0.0000000 |
| 79,701 | bb6fe40dbae548db255b939ec75d56eb | HUFL1**012015 | 2,015 | 2,015 | 4 | 2015-07-30 | 2015-01-24 | 0.5119781 |
| 68,727 | bda266c70897a4a4d4c34b9286b3ac26 | HEFA1**072014 | 2,014 | 2,015 | 5 | 2014-08-29 | 2014-07-01 | 0.1615332 |
| 74,175 | c1680c07dc59050febafc3d2fd20401c | SEDU1**022015 | 2,015 | 2,015 | 4 | 2015-03-23 | 2015-02-15 | 0.0985626 |
| 72,301 | c448e5cd3e78582182916796bf1cd0a3 | JUSA1**122014 | 2,014 | 2,015 | 4 | 2014-12-24 | 2014-12-24 | 0.0000000 |
| 67,595 | c4a738e3e147557918f4f3a29384617e | RAGA1**062014 | 2,014 | 2,015 | 5 | 2014-06-13 | 2014-06-13 | 0.0000000 |
| 72,452 | c4b87ed143a1328df096ac3e5ac66752 | CRCR1**012015 | 2,015 | 2,015 | 4 | 2015-02-05 | 2015-01-15 | 0.0574949 |
| 79,988 | c667fcdcaa8983d2d0d3e805c762543a | JUHE1**082015 | 2,015 | 2,015 | 4 | 2015-08-04 | 2015-08-04 | 0.0000000 |
| 65,866 | c67c0b06dc6a2fc010c201d7b2455731 | PARO2**092013 | 2,013 | 2,015 | 6 | 2013-09-02 | 2013-09-26 | -0.0657084 |
| 82,933 | ca640aaf41385bea310d7b73f7cdba25 | RARO1**042015 | 2,015 | 2,015 | 4 | 2015-08-26 | 2015-04-09 | 0.3805613 |
| 67,569 | cc3f918ca077e0fa589264817e7dfc63 | JUCE1**062014 | 2,014 | 2,015 | 5 | 2014-06-26 | 2014-06-26 | 0.0000000 |
| 70,258 | d36b9cd8f1aa0a07ad209b0006af1465 | PALO1**072014 | 2,014 | 2,015 | 5 | 2014-11-13 | 2014-07-08 | 0.3504449 |
| 69,013 | d3ff7adfe0d73fe255e7eaeae652d093 | HUPO1**092014 | 2,014 | 2,015 | 5 | 2014-10-01 | 2014-09-10 | 0.0574949 |
| 82,593 | d44603ff4147d1f87a0a8187ea7a7dfe | CLIT2**102015 | 2,015 | 2,015 | 4 | 2015-10-05 | 2015-10-05 | 0.0000000 |
| 81,553 | d4e29a163ddfed590de7ff27125a2a7e | JOSO1**092015 | 2,015 | 2,015 | 4 | 2015-09-10 | 2015-09-09 | 0.0027379 |
| 69,958 | d5952e9b80d0713beb9024174ab0f727 | JOAL1**012014 | 2,014 | 2,015 | 5 | 2014-11-05 | 2014-01-01 | 0.8432580 |
| 69,347 | d9c6875344fd216fe006cc26f6ab3554 | CRRO1**072014 | 2,014 | 2,015 | 5 | 2014-10-01 | 2014-07-04 | 0.2436687 |
| 68,618 | da430c8ff2f2e7059c4e402228c980d7 | ARFL1**022014 | 2,014 | 2,015 | 5 | 2014-09-08 | 2014-02-14 | 0.5639973 |
| 85,252 | dc734b38de361955000b96e6253d148a | DAMO2**062015 | 2,015 | 2,015 | 4 | 2015-12-09 | 2015-06-27 | 0.4517454 |
| 69,628 | dcc35e6bacea2093d845764c4541f5fd | JOAN1**072014 | 2,014 | 2,015 | 5 | 2014-11-05 | 2014-07-23 | 0.2874743 |
| 78,731 | dd4b4ceef916a24a277300e57d15847a | PEME1**042015 | 2,015 | 2,015 | 4 | 2015-07-08 | 2015-04-22 | 0.2108145 |
| 71,685 | e2e8be29aee4522e31cf3f6632a7f67d | PARA2**012015 | 2,015 | 2,015 | 4 | 2015-01-27 | 2015-01-26 | 0.0027379 |
| 72,176 | e60223e49c88aa125912e44ae1405982 | RACA1**122014 | 2,014 | 2,015 | 4 | 2014-12-01 | 2014-12-01 | 0.0000000 |
| 70,653 | e907ad15203b08eec69e4ac53cf2ed1c | VIRE1**122014 | 2,014 | 2,015 | 4 | 2014-12-17 | 2014-12-10 | 0.0191650 |
| 82,004 | e9b8767932d2c1c268c50986f37d1ac3 | FRVE1**082015 | 2,015 | 2,015 | 4 | 2015-09-28 | 2015-08-21 | 0.1040383 |
| 78,289 | ea7b8f69ea7b4c84ec05336daea2bd5a | SIAR2**062015 | 2,015 | 2,015 | 4 | 2015-06-18 | 2015-06-05 | 0.0355921 |
| 77,086 | eb7178edd29bc7938a16af25e718aa06 | PERO1**052015 | 2,015 | 2,015 | 4 | 2015-05-04 | 2015-05-04 | 0.0000000 |
| 67,778 | ebd792c25167912fa4ba477282968198 | VIGA1**032014 | 2,014 | 2,015 | 5 | 2014-07-10 | 2014-03-04 | 0.3504449 |
| 74,513 | ee1416f105555711f905f8bb38bbbc85 | ANZA1**032015 | 2,015 | 2,015 | 4 | 2015-03-04 | 2015-03-04 | 0.0000000 |
| 73,321 | f0e8cdce8a16fae7f1f8f1d7eb726e42 | FRGO1**032015 | 2,015 | 2,015 | 4 | 2015-03-05 | 2015-03-04 | 0.0027379 |
| 68,980 | f2b452b7b3cb57347dffef25fb906533 | MAAR1**042013 | 2,013 | 2,015 | 6 | 2014-09-03 | 2013-04-02 | 1.4209446 |
| 71,052 | f3200c510b74bf2c038243cfa11bb511 | BERU2**062014 | 2,014 | 2,015 | 5 | 2014-12-29 | 2014-06-16 | 0.5366188 |
| 81,047 | f40e50584376f17c5209a446aded88a5 | MACA1**082015 | 2,015 | 2,015 | 4 | 2015-08-20 | 2015-08-20 | 0.0000000 |
| 74,448 | f4b40bf329913b8d3f4b5ad5e387ceeb | PEME1**022015 | 2,015 | 2,015 | 4 | 2015-03-17 | 2015-02-02 | 0.1177276 |
| 67,848 | f60d6664ff94ad84d3f6fa5857df8554 | LUVE1**062014 | 2,014 | 2,015 | 5 | 2014-07-02 | 2014-06-30 | 0.0054757 |
| 72,387 | fa2ea15f6f06cf6d26eb350fe06d3169 | PABA1**042014 | 2,014 | 2,015 | 5 | 2015-02-01 | 2014-04-06 | 0.8240931 |
| 68,175 | fa82f67ef3d75abfe25d757e3fd94dda | CAMA1**082014 | 2,014 | 2,015 | 5 | 2014-08-06 | 2014-08-06 | 0.0000000 |
| 66,526 | faeef8906f3656cf2fd1c20a6e073f3f | ERQU2**032014 | 2,014 | 2,015 | 5 | 2014-03-10 | 2014-03-04 | 0.0164271 |
| 69,969 | fc9685f0326cd580c91283cef901de83 | FELI1**112014 | 2,014 | 2,015 | 4 | 2014-11-03 | 2014-11-16 | -0.0355921 |
| 51,471 | 0185474236a78bd34f1f598e07021075 | BOCO1**022013 | 2,013 | 2,014 | 6 | 2013-10-08 | 2013-02-02 | 0.6789870 |
| 62,068 | 01e54166db8cc46ba02cc1261bad7025 | NAFA2**092014 | 2,014 | 2,014 | 5 | 2014-09-08 | 2014-09-11 | -0.0082136 |
| 62,795 | 01fbe3da4feb1c3219154541973737fb | ALKL1**092014 | 2,014 | 2,014 | 5 | 2014-09-03 | 2014-09-07 | -0.0109514 |
| 53,854 | 050d90c29749bafec11dffebad0166a6 | VACA1**082013 | 2,013 | 2,014 | 6 | 2014-01-02 | 2013-08-08 | 0.4024641 |
| 54,592 | 0a2dabadf8ca1b2e9ba2e22b38e8ddcb | ANZA1**022014 | 2,014 | 2,014 | 5 | 2014-02-18 | 2014-02-18 | 0.0000000 |
| 64,283 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**062014 | 2,014 | 2,014 | 5 | 2014-11-10 | 2014-06-15 | 0.4052019 |
| 60,957 | 0c66c0b765a83da8d1de567a6463b309 | ANVI1**062014 | 2,014 | 2,014 | 5 | 2014-08-01 | 2014-06-02 | 0.1642710 |
| 62,380 | 0c8e2d388c54c38b56d727848623e1c3 | FAFL1**092014 | 2,014 | 2,014 | 5 | 2014-09-22 | 2014-09-26 | -0.0109514 |
| 64,529 | 0ecdd96aa26acffb0443024302c88b19 | JECO1**022014 | 2,014 | 2,014 | 5 | 2014-11-03 | 2014-02-19 | 0.7036277 |
| 59,544 | 1033515b6c374de294fc70f88738d49c | YUJA1**012014 | 2,014 | 2,014 | 5 | 2014-07-01 | 2014-01-14 | 0.4599589 |
| 51,610 | 12bcf88002321230829c390f370e5a94 | LUSE1**102013 | 2,013 | 2,014 | 6 | 2013-10-01 | 2013-10-09 | -0.0219028 |
| 57,944 | 14604a942e84698e0484ec20a8eca468 | PEER1**042014 | 2,014 | 2,014 | 5 | 2014-05-29 | 2014-04-06 | 0.1451061 |
| 62,595 | 1881f1555ce2c4753b5ee918c1d32bf8 | CASE2**092014 | 2,014 | 2,014 | 5 | 2014-09-26 | 2014-09-29 | -0.0082136 |
| 57,991 | 1892dab247fd46439de490b350394c36 | HESA1**012014 | 2,014 | 2,014 | 5 | 2014-05-28 | 2014-01-11 | 0.3750856 |
| 59,643 | 18ed67cbe7d0be3b407be54f181fbb49 | FECA2**052014 | 2,014 | 2,014 | 5 | 2014-05-30 | 2014-05-30 | 0.0000000 |
| 55,397 | 1925b5752041680a6494ecb6a185c753 | CAGA1**012014 | 2,014 | 2,014 | 5 | 2014-03-17 | 2014-01-21 | 0.1505818 |
| 54,902 | 1a6377dca692b67788c885a4bc1ec3f9 | IGMU1**022014 | 2,014 | 2,014 | 5 | 2014-02-05 | 2014-02-17 | -0.0328542 |
| 51,069 | 1c3c2376668e31123e289c63079700cb | DASA1**102013 | 2,013 | 2,014 | 6 | 2013-10-07 | 2013-10-07 | 0.0000000 |
| 51,041 | 1e605b52e9b58e4bb66f9a6c2f32176d | PUSI2**102013 | 2,013 | 2,014 | 6 | 2013-10-09 | 2013-10-09 | 0.0000000 |
| 51,204 | 1e837895d8784a93f1c62e919afad21c | JOSA1**072013 | 2,013 | 2,014 | 6 | 2013-10-18 | 2013-07-26 | 0.2299795 |
| 56,536 | 2112f4ef70d436947acb8057a43ea2a4 | CLPA1**042014 | 2,014 | 2,014 | 5 | 2014-04-14 | 2014-04-14 | 0.0000000 |
| 57,291 | 21e1a0cb1dd23fabdb68277bcec401b8 | CRMA1**042014 | 2,014 | 2,014 | 5 | 2014-04-22 | 2014-04-22 | 0.0000000 |
| 58,608 | 2311d4b022b6b0ca7f3c8f781db5bd6e | IVMO1**102013 | 2,013 | 2,014 | 6 | 2014-06-12 | 2013-10-04 | 0.6872005 |
| 53,493 | 2442f03286793ebc9875b7520acc486a | JHRI1**112013 | 2,013 | 2,014 | 5 | 2013-12-04 | 2013-11-26 | 0.0219028 |
| 50,789 | 28a68f9ac9ad88bef6d71c87650e171c | DEMU2**092013 | 2,013 | 2,014 | 6 | 2013-09-30 | 2013-09-23 | 0.0191650 |
| 52,308 | 29fd17afa366812eeae4f070d949b621 | ALPA1**042013 | 2,013 | 2,014 | 6 | 2013-11-21 | 2013-04-12 | 0.6105407 |
| 51,848 | 2a77572cc6a27c03e6fe4cc2057891c7 | CAPI2**072013 | 2,013 | 2,014 | 6 | 2013-11-07 | 2013-07-12 | 0.3230664 |
| 57,292 | 2bf4303825646ee1fb044f426a3a69e0 | IVME1**042014 | 2,014 | 2,014 | 5 | 2014-04-24 | 2014-04-24 | 0.0000000 |
| 52,194 | 2f72fa7496b7083591d2caff4142a540 | ROMU1**072013 | 2,013 | 2,014 | 6 | 2013-11-01 | 2013-07-30 | 0.2573580 |
| 64,664 | 307478874831e6772e116074a1115afd | MARO1**042014 | 2,014 | 2,014 | 5 | 2014-11-04 | 2014-04-27 | 0.5229295 |
| 64,325 | 32ed8512c8004bf8dc40a2c081dd3788 | ALPA1**092014 | 2,014 | 2,014 | 5 | 2014-11-18 | 2014-09-22 | 0.1560575 |
| 51,909 | 33846b3d1ab12c80e895f2c97183fd6e | IGMU1**112013 | 2,013 | 2,014 | 5 | 2013-10-30 | 2013-11-15 | -0.0438056 |
| 54,604 | 34988293c8162aa967982d80b52679f8 | MIBU2**022014 | 2,014 | 2,014 | 5 | 2014-02-18 | 2014-02-19 | -0.0027379 |
| 60,588 | 376cacf6012ee8b1eb6c9594610033e5 | ROCA1**072014 | 2,014 | 2,014 | 5 | 2014-07-28 | 2014-07-28 | 0.0000000 |
| 52,011 | 3abe9a42141394f5d7dcd8cc6599dcb5 | ANLO1**102013 | 2,013 | 2,014 | 6 | 2013-10-21 | 2013-10-04 | 0.0465435 |
| 60,040 | 3c95fa27af813ce64585b46390470d28 | GUES1**072014 | 2,014 | 2,014 | 5 | 2014-07-03 | 2014-07-03 | 0.0000000 |
| 50,977 | 4000849a3b0c044434724ac011e14fb2 | CLVA1**102013 | 2,013 | 2,014 | 6 | 2013-10-03 | 2013-10-02 | 0.0027379 |
| 57,293 | 42096bc0d7cc104bff333c7bb7ab8712 | PAPI1**042014 | 2,014 | 2,014 | 5 | 2014-04-17 | 2014-04-17 | 0.0000000 |
| 54,888 | 429718cc352bec4dff3cd8c5733dccb3 | WLCU1**092013 | 2,013 | 2,014 | 6 | 2013-11-12 | 2013-09-25 | 0.1314168 |
| 61,040 | 429adc359b8b2c6d00eec510b8545971 | CRVA2**052014 | 2,014 | 2,014 | 5 | 2014-05-02 | 2014-05-29 | -0.0739220 |
| 51,689 | 4527b737a811d4145e677ea5336d53c1 | ENCA1**032013 | 2,013 | 2,014 | 6 | 2013-11-12 | 2013-03-03 | 0.6954141 |
| 58,112 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**052014 | 2,014 | 2,014 | 5 | 2014-05-13 | 2014-05-01 | 0.0328542 |
| 63,550 | 4d172b7d430a3d84688623da52d8dc7c | DACE1**082014 | 2,014 | 2,014 | 5 | 2014-10-06 | 2014-08-09 | 0.1587953 |
| 52,329 | 4e0ae098b557c5b79a094a4f3d629092 | ALLO1**062013 | 2,013 | 2,014 | 6 | 2013-12-03 | 2013-06-21 | 0.4517454 |
| 50,990 | 4feab54661843621e99998f4d6b57380 | CIJO1**042013 | 2,013 | 2,014 | 6 | 2013-09-11 | 2013-04-28 | 0.3723477 |
| 62,889 | 53f1bae51684d06843d5bf7e15fe658c | JUOL1**032014 | 2,014 | 2,014 | 5 | 2014-10-01 | 2014-03-25 | 0.5201916 |
| 58,526 | 53fd1e903046ccbf29f0328f2fbada0c | CHRA1**062014 | 2,014 | 2,014 | 5 | 2014-06-02 | 2014-06-13 | -0.0301164 |
| 56,580 | 5674b142391373e01dfcc306df2d0dca | CESO1**042014 | 2,014 | 2,014 | 5 | 2014-04-08 | 2014-04-10 | -0.0054757 |
| 58,446 | 569445fd9ec006917858027e18df04b4 | JUFL1**042014 | 2,014 | 2,014 | 5 | 2014-06-10 | 2014-04-20 | 0.1396304 |
| 58,543 | 56f99f0c1058dfdc2d862821be68908d | ALBA1**052014 | 2,014 | 2,014 | 5 | 2014-06-16 | 2014-05-30 | 0.0465435 |
| 65,294 | 57f7766d6acfaf329f8a6c7c5546f4cc | LUNA1**082014 | 2,014 | 2,014 | 5 | 2014-12-10 | 2014-08-09 | 0.3367556 |
| 51,295 | 5ca7f13aa49592a33df47a8c92e1a833 | NOCA2**102013 | 2,013 | 2,014 | 6 | 2013-10-17 | 2013-10-17 | 0.0000000 |
| 51,627 | 5e1528a265d1f0896cb353a44e765354 | GALE1**112013 | 2,013 | 2,014 | 6 | 2013-11-05 | 2013-11-05 | 0.0000000 |
| 53,634 | 5f8c1b285772d02d0b886ed5a2460fbd | MIMI1**022013 | 2,013 | 2,014 | 6 | 2014-01-13 | 2013-02-27 | 0.8761123 |
| 56,445 | 6218383ca3245f183d37109cbad00e7b | ALSU1**042014 | 2,014 | 2,014 | 5 | 2014-04-11 | 2014-04-11 | 0.0000000 |
| 53,993 | 62a9e64ddba550f4004a6327918f57fc | RARU1**062013 | 2,013 | 2,014 | 6 | 2014-01-23 | 2013-06-27 | 0.5749487 |
| 59,254 | 6342c5d72382ca9d24de6e277e2df32f | MASA2**032014 | 2,014 | 2,014 | 5 | 2014-05-23 | 2014-03-07 | 0.2108145 |
| 52,403 | 65f57f0a6a732ea3780954d538a75428 | SECA1**052013 | 2,013 | 2,014 | 6 | 2013-12-06 | 2013-05-01 | 0.5995893 |
| 51,997 | 689bae1438650be7199ded91cbc7552f | JOCO1**092013 | 2,013 | 2,014 | 6 | 2013-10-25 | 2013-09-29 | 0.0711841 |
| 51,995 | 702968577b4f960a8c1c08df3c495ff0 | ENRO1**072013 | 2,013 | 2,014 | 6 | 2013-11-04 | 2013-07-21 | 0.2902122 |
| 52,932 | 72326747760e7be6a2162ab0037f2a07 | JOCO2**122013 | 2,013 | 2,014 | 5 | 2013-08-12 | 2013-12-19 | -0.3531828 |
| 64,279 | 7254ade7587f29202196fb75b17dc272 | CRBA1**022014 | 2,014 | 2,014 | 5 | 2014-11-03 | 2014-02-17 | 0.7091034 |
| 60,757 | 72cffa8571b63fa2bbdc803a1f2572f6 | GUCO1**072014 | 2,014 | 2,014 | 5 | 2014-08-08 | 2014-07-31 | 0.0219028 |
| 52,371 | 736fae09679c81655531176f2d1fd5e5 | MAAG1**102013 | 2,013 | 2,014 | 6 | 2013-12-03 | 2013-10-18 | 0.1259411 |
| 56,845 | 743347c25e9f31237b16863597fd9010 | BATA2**042014 | 2,014 | 2,014 | 5 | 2014-04-28 | 2014-04-21 | 0.0191650 |
| 51,272 | 76f23cc26b988b93413645ba8119c6cc | ESES1**102013 | 2,013 | 2,014 | 6 | 2013-10-23 | 2013-10-11 | 0.0328542 |
| 52,100 | 76fa641216f9a7ebf3a5f14344383c44 | LUCO2**042013 | 2,013 | 2,014 | 6 | 2013-11-13 | 2013-04-21 | 0.5639973 |
| 58,307 | 7f436efd7a0821acc4276c007e0cab22 | BEBE1**052014 | 2,014 | 2,014 | 5 | 2014-05-30 | 2014-05-29 | 0.0027379 |
| 51,169 | 81ab2481a76df0933bf153220a6a5e9e | LIRE2**042013 | 2,013 | 2,014 | 6 | 2013-10-04 | 2013-04-11 | 0.4818617 |
| 62,798 | 8aaca219f703edb8180889af34c95af7 | VIZA2**092014 | 2,014 | 2,014 | 5 | 2014-10-01 | 2014-09-02 | 0.0793977 |
| 56,429 | 9186bf55e02db4cfa18a94877faaeaae | JOCA1**042014 | 2,014 | 2,014 | 5 | 2014-04-04 | 2014-04-01 | 0.0082136 |
| 64,539 | 91cf26bab3740af962ca4b4c8d66fa7f | BEMA2**102014 | 2,014 | 2,014 | 5 | 2014-11-03 | 2014-10-22 | 0.0328542 |
| 51,050 | 9326cee4bf6b78a580d94d7a2918defe | IVCA1**072013 | 2,013 | 2,014 | 6 | 2013-09-10 | 2013-07-08 | 0.1752225 |
| 56,731 | 9354d0a7e62f4e1770b183e1a47fa950 | ALAD1**042014 | 2,014 | 2,014 | 5 | 2014-04-01 | 2014-04-21 | -0.0547570 |
| 51,835 | 94402c3f517402391dfbd454223559af | EZSU1**062009 | 2,009 | 2,014 | 10 | 2013-11-22 | 2009-06-19 | 4.4271047 |
| 52,929 | 94bdff9b0c5c651015c78f48fc56f831 | CIGF1**122013 | 2,013 | 2,014 | 5 | 2014-11-04 | 2013-12-11 | 0.8980151 |
| 50,568 | 954bec2ee088c12db31904b363e78a98 | JUSC1**092013 | 2,013 | 2,014 | 6 | 2013-09-10 | 2013-09-03 | 0.0191650 |
| 52,208 | 9642c561b4782b5626610105f2054076 | JUNU1**112013 | 2,013 | 2,014 | 5 | 2013-09-03 | 2013-11-25 | -0.2272416 |
| 51,267 | 971a392201dca223bc07f635a7412443 | REJI1**022013 | 2,013 | 2,014 | 6 | 2013-08-05 | 2013-02-16 | 0.4654346 |
| 62,080 | 972709af06218bfc09d4f028a7f2fa36 | MAOR1**092014 | 2,014 | 2,014 | 5 | 2014-09-03 | 2014-09-01 | 0.0054757 |
| 62,450 | 975241fd05550f886bc9ff823e488587 | YABE1**072014 | 2,014 | 2,014 | 5 | 2014-09-01 | 2014-07-13 | 0.1368925 |
| 50,768 | 9b4349d272c562d022b673e4faf943eb | STVA2**012013 | 2,013 | 2,014 | 6 | 2013-09-25 | 2013-01-01 | 0.7310062 |
| 57,513 | 9b802c0391a72f833e0b7f6b4fa9f429 | NEPI1**052014 | 2,014 | 2,014 | 5 | 2014-05-15 | 2014-05-15 | 0.0000000 |
| 53,928 | 9cafeebef314301a4d28f9617eb2db84 | HEPO1**012014 | 2,014 | 2,014 | 5 | 2014-01-30 | 2014-01-03 | 0.0739220 |
| 57,337 | a13505adffa3137e32ef126953465083 | JOPA1**022014 | 2,014 | 2,014 | 5 | 2014-02-25 | 2014-02-25 | 0.0000000 |
| 53,955 | a16577eeed6c1bbb24cad0e96f60b2a2 | PAIB2**012014 | 2,014 | 2,014 | 5 | 2014-01-21 | 2014-01-01 | 0.0547570 |
| 57,826 | a3d1c81f683127b3f98a6dc8ee0aea95 | ANME1**042014 | 2,014 | 2,014 | 5 | 2014-05-27 | 2014-04-05 | 0.1423682 |
| 56,288 | a444a079cae143f4c1a81333206b1fa2 | CRCE1**042014 | 2,014 | 2,014 | 5 | 2014-04-01 | 2014-04-01 | 0.0000000 |
| 52,008 | a510b674f569b6bd720ae2f9c4b038b8 | SECA1**112013 | 2,013 | 2,014 | 5 | 2013-11-06 | 2013-11-06 | 0.0000000 |
| 59,851 | a53efaf4077a6d170947d8e3cbb8617a | JOZU1**032014 | 2,014 | 2,014 | 5 | 2014-07-01 | 2014-03-14 | 0.2984257 |
| 56,065 | a72f953a356b5a624e919918b63a2fad | JOIB1**032014 | 2,014 | 2,014 | 5 | 2014-03-12 | 2014-03-07 | 0.0136893 |
| 61,398 | a7b45b17accde476fc79803b461c48a3 | HURA1**032014 | 2,014 | 2,014 | 5 | 2014-08-28 | 2014-03-12 | 0.4626968 |
| 62,097 | a81b5a68a64ec4989b15b06382a45f6c | ROCI2**092014 | 2,014 | 2,014 | 5 | 2014-09-08 | 2014-09-02 | 0.0164271 |
| 54,563 | a8f536730514fc652fb2b0cba216d73a | SUBR2**022014 | 2,014 | 2,014 | 5 | 2014-01-20 | 2014-02-04 | -0.0410678 |
| 62,503 | aa7cc08fd4579be84bdc2dc1ffbd8616 | JOSA1**092014 | 2,014 | 2,014 | 5 | 2014-09-01 | 2014-09-01 | 0.0000000 |
| 52,552 | ad62e5dacd4b89a12721135a164c2369 | DAVI2**112013 | 2,013 | 2,014 | 5 | 2013-11-21 | 2013-11-21 | 0.0000000 |
| 60,994 | b3b4e92d7d3256b4bdefc1d57c9a6d01 | PEFR1**072014 | 2,014 | 2,014 | 5 | 2014-08-01 | 2014-07-18 | 0.0383299 |
| 56,061 | b48858a7082e55ba898bc1905399513c | YESA1**032014 | 2,014 | 2,014 | 5 | 2014-03-28 | 2014-03-28 | 0.0000000 |
| 59,634 | b57bb1be348e3c4c896be4d68043bfdc | EMHE1**012014 | 2,014 | 2,014 | 5 | 2014-05-29 | 2014-01-05 | 0.3942505 |
| 53,764 | b781ad6ad261463e0113dd2a9666a6d7 | YEAR2**012014 | 2,014 | 2,014 | 5 | 2014-01-24 | 2014-01-29 | -0.0136893 |
| 57,604 | bb1e3ec5ad90ed912270b85c22bc22dc | MASA1**022014 | 2,014 | 2,014 | 5 | 2014-03-10 | 2014-02-15 | 0.0629706 |
| 61,779 | bd4ddaf7e28aa380f777efe2528a5ffe | VIGA1**092014 | 2,014 | 2,014 | 5 | 2014-09-01 | 2014-09-01 | 0.0000000 |
| 55,549 | bda338a09bf4112f34c232b78571e081 | ANPI1**032014 | 2,014 | 2,014 | 5 | 2014-03-17 | 2014-03-17 | 0.0000000 |
| 57,347 | bdf80f280bdd5ea5a2467e595550bb16 | FRSA2**042014 | 2,014 | 2,014 | 5 | 2014-04-30 | 2014-04-21 | 0.0246407 |
| 62,576 | be113baceb35ea5ae5a34de7d5c23b84 | CHME1**032014 | 2,014 | 2,014 | 5 | 2014-09-09 | 2014-03-23 | 0.4654346 |
| 61,502 | be3bcadab217fd812c6b3d88ddbaee09 | HECO1**072014 | 2,014 | 2,014 | 5 | 2014-07-29 | 2014-07-29 | 0.0000000 |
| 54,559 | be52751573bf2adb0360879c30b371ef | MAGU1**122013 | 2,013 | 2,014 | 5 | 2014-02-05 | 2013-12-17 | 0.1368925 |
| 52,656 | c3a1407863ea6dd75f7897cad33835c7 | DUFR1**102013 | 2,013 | 2,014 | 6 | 2013-11-18 | 2013-10-04 | 0.1232033 |
| 60,595 | c608039402f2ad468835c3ab9d12e677 | CAAL1**072014 | 2,014 | 2,014 | 5 | 2014-07-21 | 2014-07-21 | 0.0000000 |
| 58,523 | c6a7be0fcf4c6f66221e329104e48883 | PEBR1**052014 | 2,014 | 2,014 | 5 | 2014-06-06 | 2014-05-19 | 0.0492813 |
| 62,474 | c765a4e2af7ab3cc7ae001070b503050 | JADI2**092014 | 2,014 | 2,014 | 5 | 2014-09-30 | 2014-09-17 | 0.0355921 |
| 54,418 | c8ac6673fe449df4dc4413cf8c9878b6 | GEOR1**022014 | 2,014 | 2,014 | 5 | 2014-02-14 | 2014-02-14 | 0.0000000 |
| 62,659 | ca50b266929877ca56170af4b6ca7501 | ALLI1**092014 | 2,014 | 2,014 | 5 | 2014-09-25 | 2014-09-25 | 0.0000000 |
| 58,656 | ccc2249f59cc52ac8d616662b12c3038 | ANOR2**052014 | 2,014 | 2,014 | 5 | 2014-05-29 | 2014-05-29 | 0.0000000 |
| 51,048 | ce8713622fc6042467a3d3729292eae0 | ENAL2**092013 | 2,013 | 2,014 | 6 | 2013-10-15 | 2013-09-03 | 0.1149897 |
| 54,905 | cee383e8075524a15a3e243382edbc47 | SEUR1**022014 | 2,014 | 2,014 | 5 | 2014-02-18 | 2014-02-13 | 0.0136893 |
| 52,904 | cfb8e2fc00adc59d9a2afdf5334d80a9 | JOUR1**122013 | 2,013 | 2,014 | 5 | 2013-12-03 | 2013-12-03 | 0.0000000 |
| 59,768 | d0096113be91f1ce643534aa8c0704b6 | JARO1**022014 | 2,014 | 2,014 | 5 | 2014-07-02 | 2014-02-15 | 0.3750856 |
| 52,719 | d19d1ea1d2d029f4bc0f2675d93f3234 | LUGU1**072013 | 2,013 | 2,014 | 6 | 2013-11-26 | 2013-07-21 | 0.3504449 |
| 52,050 | d2111418ab78f0a344deaa3a897f08bd | JOCA1**112013 | 2,013 | 2,014 | 5 | 2013-11-21 | 2013-11-21 | 0.0000000 |
| 51,786 | df2ce933562770d4c8914edbd8738541 | SAGO1**062013 | 2,013 | 2,014 | 6 | 2013-10-28 | 2013-06-23 | 0.3477070 |
| 64,540 | e13c8e73574fa1097e9ba61c472a8784 | HEMO1**042014 | 2,014 | 2,014 | 5 | 2014-11-24 | 2014-04-17 | 0.6050650 |
| 56,435 | e2b3a2ebe811d7ee66df5aa536a3695f | JOGA1**042014 | 2,014 | 2,014 | 5 | 2014-04-09 | 2014-04-02 | 0.0191650 |
| 56,263 | e2cf471bd0e20f2bedebcb7606d0cacb | YEVA1**032014 | 2,014 | 2,014 | 5 | 2014-03-21 | 2014-03-21 | 0.0000000 |
| 59,115 | e40c7ad76b14bfe0f18fed93b19e2dca | ROLO1**062014 | 2,014 | 2,014 | 5 | 2014-06-16 | 2014-06-14 | 0.0054757 |
| 51,695 | e7b55af427ba709d30c6005f693eb66f | JEGA2**012013 | 2,013 | 2,014 | 6 | 2013-11-04 | 2013-01-04 | 0.8323066 |
| 63,518 | e8d4e7ec9067faee7252e3421fc131fd | PALL1**042014 | 2,014 | 2,014 | 5 | 2014-10-13 | 2014-04-19 | 0.4845996 |
| 64,867 | e9c1c6248f996ae3f578602d9953ca13 | ISOR1**092014 | 2,014 | 2,014 | 5 | 2014-12-12 | 2014-09-23 | 0.2190281 |
| 56,675 | ee76b9e38e4a9eff202f4a56660c7eca | CAHE2**042014 | 2,014 | 2,014 | 5 | 2014-04-22 | 2014-04-22 | 0.0000000 |
| 51,698 | eee34348656d96521f9562193c8a3007 | CAGU2**012013 | 2,013 | 2,014 | 6 | 2013-11-05 | 2013-01-24 | 0.7802875 |
| 61,634 | ef00f137abde81b272a2a803ff3b5353 | FRCA1**072014 | 2,014 | 2,014 | 5 | 2014-08-01 | 2014-07-08 | 0.0657084 |
| 53,508 | f0a981419be2548644ba07dcafe0c4a3 | LUJO1**092013 | 2,013 | 2,014 | 6 | 2014-01-27 | 2013-09-25 | 0.3394935 |
| 51,219 | f21bbc9bf555d4e829f3db65e56b510d | CABA1**082013 | 2,013 | 2,014 | 6 | 2013-10-17 | 2013-08-24 | 0.1478439 |
| 56,069 | f3612fadeb097f6554c56683d7b3e5f2 | LEAS2**032014 | 2,014 | 2,014 | 5 | 2014-03-31 | 2014-03-02 | 0.0793977 |
| 61,891 | f40d70dfb94c7086d9de0ab004a293c6 | DANU2**022014 | 2,014 | 2,014 | 5 | 2014-08-20 | 2014-02-05 | 0.5366188 |
| 59,459 | f52d7d44debd140b3cd42af6e92d80f9 | EXMA1**062014 | 2,014 | 2,014 | 5 | 2014-06-20 | 2014-06-20 | 0.0000000 |
| 51,452 | f69caa1b82135a69956c4f4293ec4d6f | MAAL2**102013 | 2,013 | 2,014 | 6 | 2013-10-24 | 2013-10-24 | 0.0000000 |
| 52,811 | f988c37e7ce91c77cf4009e3714d40b1 | TARE2**062013 | 2,013 | 2,014 | 6 | 2013-12-16 | 2013-06-05 | 0.5311431 |
| 54,560 | fba602106f2a581a65a4db020e013642 | NOES2**112013 | 2,013 | 2,014 | 5 | 2014-02-06 | 2013-11-25 | 0.1998631 |
| 61,288 | fc49568e7fd2ffdfb2a3cef77af89459 | ISMA1**082014 | 2,014 | 2,014 | 5 | 2014-08-05 | 2014-08-05 | 0.0000000 |
| 54,187 | fcb6557f60d2759df2513c9f9b9115c1 | KLST1**012014 | 2,014 | 2,014 | 5 | 2014-01-29 | 2014-01-29 | 0.0000000 |
| 55,302 | fdf286edf7d8f4bd5cd61f88d7e4f89d | REAE1**032014 | 2,014 | 2,014 | 5 | 2014-03-06 | 2014-03-05 | 0.0027379 |
| 52,554 | fee26755a3e4dd7729c1ad2ed5d58fff | RAMA1**102013 | 2,013 | 2,014 | 6 | 2013-10-21 | 2013-10-21 | 0.0000000 |
| 36,728 | 001ba6dfc8332930f9d9d20a0fa6685b | MIMO1**061913 | 1,913 | 2,013 | 106 | 2013-02-06 | 1913-06-28 | 99.6112252 |
| 45,760 | 0a21d1124c0c4a5d0da592ed6f14cff7 | CAPE1**102013 | 2,013 | 2,013 | 6 | 2013-10-24 | 2013-10-24 | 0.0000000 |
| 46,812 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**012013 | 2,013 | 2,013 | 6 | 2013-10-21 | 2013-01-24 | 0.7392197 |
| 44,664 | 23938bd85a47c2e8730e47ae8054f62c | VISA2**022013 | 2,013 | 2,013 | 6 | 2013-09-23 | 2013-02-04 | 0.6324435 |
| 45,721 | 29b93a33e7344cc48d3cbf4a5facad38 | JAFU1**062013 | 2,013 | 2,013 | 6 | 2013-04-18 | 2013-06-12 | -0.1505818 |
| 45,085 | 2df0eb141ab0b668005ee0524fc91eb7 | JOPA1**082013 | 2,013 | 2,013 | 6 | 2013-08-12 | 2013-08-12 | 0.0000000 |
| 45,018 | 3ca3b680130f62d361dbb5826ae1dfda | TERO2**102013 | 2,013 | 2,013 | 6 | 2013-10-14 | 2013-10-14 | 0.0000000 |
| 44,517 | 3e6a828045d78e1702575a459bbce640 | JOUR2**092013 | 2,013 | 2,013 | 6 | 2013-09-30 | 2013-09-07 | 0.0629706 |
| 44,559 | 6567363878a5b347f469a390f9644d52 | BAAR1**062013 | 2,013 | 2,013 | 6 | 2013-09-26 | 2013-06-03 | 0.3148528 |
| 44,578 | 6c0fd2b68d3a9f0e2b6598e1ab72b94d | DEVI2**092013 | 2,013 | 2,013 | 6 | 2013-09-02 | 2013-09-02 | 0.0000000 |
| 44,259 | 6ff5532362ac764da4ad9c2e85ae2d61 | ALMO1**082013 | 2,013 | 2,013 | 6 | 2013-09-03 | 2013-08-22 | 0.0328542 |
| 45,399 | 8f5e3e9746af356cc4fc83d9a115e043 | LEMO1**102013 | 2,013 | 2,013 | 6 | 2013-10-14 | 2013-10-16 | -0.0054757 |
| 46,615 | a7c467c7d652f1861fd9ac231821ab24 | ADMO2**112013 | 2,013 | 2,013 | 5 | 2013-11-04 | 2013-11-21 | -0.0465435 |
| 44,778 | aca1dbae04cca9acea253b7b3d4db474 | JASO1**082013 | 2,013 | 2,013 | 6 | 2013-09-01 | 2013-08-12 | 0.0547570 |
| 47,228 | add23dc42ee2d765da142f8f554e98c5 | ANPA1**102013 | 2,013 | 2,013 | 6 | 2013-12-12 | 2013-10-24 | 0.1341547 |
| 47,492 | c7290f91f32f5b89f3d1824972859c1f | MOAR2**122013 | 2,013 | 2,013 | 5 | 2013-12-17 | 2013-12-17 | 0.0000000 |
| 44,637 | cd0e56e0fcd787b52022747c37377a47 | JOGA1**092013 | 2,013 | 2,013 | 6 | 2013-09-30 | 2013-09-16 | 0.0383299 |
| 45,972 | d92c4a27171e52747526875b92cfde9a | GECA1**102013 | 2,013 | 2,013 | 6 | 2013-10-22 | 2013-10-22 | 0.0000000 |
| 45,641 | e0a72ef727d9d08f4e47817ccbe361b9 | JUDI1**102013 | 2,013 | 2,013 | 6 | 2013-10-10 | 2013-10-29 | -0.0520192 |
| 44,083 | e88a3ae889b0c7a5c06244f67acdb09c | MICL1**032013 | 2,013 | 2,013 | 6 | 2013-09-03 | 2013-03-08 | 0.4900753 |
| 29,147 | 0278b423c68cb673a95672f75904e20f | MAPE2**021913 | 1,913 | 2,012 | 106 | 2012-07-09 | 1913-02-22 | 99.3757700 |
| 20,682 | 54941be1a9e27de0e090c3ca4cc20196 | NACO1**051910 | 1,910 | 2,012 | 109 | 2010-04-20 | 1910-05-05 | 99.9589322 |
| 29,110 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**101912 | 1,912 | 2,012 | 107 | 2012-07-30 | 1912-10-02 | 99.8247775 |
| 384 | 0872294f48bd7e30ee2dfedbc7d85954 | CAFL2**041909 | 1,909 | 2,010 | 110 | 2009-09-10 | 1909-04-06 | 100.4298426 |
| 1,444 | 1257b2d7deca5d747569d13ee288aaca | ELGO2**091909 | 1,909 | 2,010 | 110 | 2009-09-03 | 1909-09-04 | 99.9972621 |
| 1,192 | 2a3853fc81a5770ceda4e0b85d7e330a | ALVE2**021909 | 1,909 | 2,010 | 110 | 2009-01-27 | 1909-02-06 | 99.9726215 |
| 61 | 40b6915c6ee34519efcbe0d312a140a6 | SAHE2**111909 | 1,909 | 2,010 | 109 | 2009-11-13 | 1909-11-13 | 100.0000000 |
| 2,784 | 4d1619ea9534b215c6f8729d32950fb6 | MIGU1**091909 | 1,909 | 2,010 | 110 | 2009-11-23 | 1909-09-08 | 100.2080767 |
| 2,305 | 79e485608bd9fae7c792c4c379a0681b | BRGA1**021909 | 1,909 | 2,010 | 110 | 2009-12-10 | 1909-02-28 | 100.7802875 |
| 1,359 | 8adcaecd02f133ab38eedf0c0036d9ff | ELMO2**091909 | 1,909 | 2,010 | 110 | 2008-07-31 | 1909-09-15 | 98.8747433 |
| 2,768 | 92f7992b962d02a791ff9e2829ff9bb4 | MAES1**051907 | 1,907 | 2,010 | 112 | 2007-05-16 | 1907-05-16 | 100.0000000 |
| 436 | 9b66f589b973bca1142d7e9995e5c2d0 | WLMO1**081909 | 1,909 | 2,010 | 110 | 2009-08-24 | 1909-08-24 | 100.0000000 |
| 385 | a67601047b085141dd804da881c173a7 | ALME2**101909 | 1,909 | 2,010 | 110 | 2009-10-05 | 1909-10-05 | 100.0000000 |
As advised at the beginning of this section, these invalid values may condition the data linkage, given that if we assign a missing value to a user that in other registry has the correct age, cases that share the same HASH and date of admission won’t match within the block assigned. To account for this possible bias, we checked whether with valid data of another case with the same HASH Key could replace missing or invalid ages (that is, the same user with another duplicated entry, or another treatment).
#list of distinct HASHs that have a wrongly assigned age
CONS_C1_df_dup_ENE_2020_prev2 %>% dplyr::filter(Edad<18|Edad>90) %>%
dplyr::distinct(HASH_KEY) %>%
assign("distinct_hash_wrong_age2",., envir = .GlobalEnv)
#Then, apply these cases to the whole population
CONS_C1_df_dup_ENE_2020_prev2 %>%
dplyr::filter(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(distinct_hash_wrong_age2)))))) %>% # select hashs of wrongly assigned ages
dplyr::arrange(HASH_KEY) %>% #order by hashs
dplyr::filter(Edad>=18,Edad<=90) %>% #nrow() #if you want to see how many cases would be changed: 387.
#dplyr::filter(!duplicated(HASH_KEY)) %>% nrow() # 211 DIFFERENT HASHS WERE CAPTURED.
#dplyr::select(-id,-TABLE,-14,-16,-17,-26,-27,-28,-29,-35,-36,-37,-88,-93,-94,-96,-101) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,Edad, fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 9. Total cases with wrong ages but their HASH had a valid age along the dataset",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | HASH_KEY | id_mod | ano_nac | Edad | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro |
|---|---|---|---|---|---|---|---|---|---|---|
| 73,339 | 2,015 | 001ba6dfc8332930f9d9d20a0fa6685b | MIMO1**061993 | 1,993 | 26 | 2015-02-05 | 2015-03-24 | PG-PAI | Programa Población General | 495 |
| 44,192 | 2,013 | 001ba6dfc8332930f9d9d20a0fa6685b | MIMO1**061993 | 1,993 | 26 | 2013-09-17 | 2013-09-30 | PG-PR | Programa Población General | 303 |
| 109,675 | 2,017 | 0185474236a78bd34f1f598e07021075 | BOCO1**021987 | 1,987 | 32 | 2016-10-20 | 2017-02-06 | PG-PAI | Programa Población General | 176 |
| 73,137 | 2,015 | 0185474236a78bd34f1f598e07021075 | BOCO1**021987 | 1,987 | 32 | 2015-02-27 | 2015-12-01 | PG-PR | Programa Población General | 183 |
| 56,952 | 2,014 | 0185474236a78bd34f1f598e07021075 | BOCO1**021987 | 1,987 | 32 | 2014-04-23 | 2014-07-31 | PG-PAI | Programa Población General | 176 |
| 107,762 | 2,017 | 01e54166db8cc46ba02cc1261bad7025 | NAFA2**091988 | 1,988 | 31 | 2016-06-21 | 2017-06-15 | PG-PAI | Programa Población General | 146 |
| 48,089 | 2,014 | 01e54166db8cc46ba02cc1261bad7025 | NAFA2**091988 | 1,988 | 31 | 2012-12-06 | 2014-03-31 | PG-PAB | Programa Población General | 367 |
| 24,959 | 2,012 | 01e54166db8cc46ba02cc1261bad7025 | NAFA2**091988 | 1,988 | 31 | 2012-02-08 | 2012-05-22 | PG-PAB | Programa Población General | 367 |
| 58,682 | 2,014 | 0278b423c68cb673a95672f75904e20f | PECA2**021994 | 1,994 | 25 | 2014-06-02 | 2014-08-18 | M-PR | Programa Específico Mujeres | 159 |
| 30,152 | 2,012 | 0278b423c68cb673a95672f75904e20f | MAPE2**021993 | 1,993 | 26 | 2012-09-05 | 2012-10-03 | M-PR | Programa Específico Mujeres | 142 |
| 8,920 | 2,010 | 050d90c29749bafec11dffebad0166a6 | VIVA1**081978 | 1,978 | 41 | 2010-11-26 | 2011-05-31 | PG-PAI | Programa Población General | 225 |
| 79,393 | 2,015 | 0616f30596be9524fbee513d685d2932 | ROBE2**101987 | 1,987 | 32 | 2015-07-22 | 2015-09-21 | PG-PAB | Programa Población General | 256 |
| 68,772 | 2,015 | 0616f30596be9524fbee513d685d2932 | ROBE1**101987 | 1,987 | 32 | 2014-08-20 | 2015-04-30 | PG-PAI | Programa Población General | 254 |
| 40,912 | 2,013 | 0616f30596be9524fbee513d685d2932 | ROBE1**101987 | 1,987 | 32 | 2013-06-07 | 2013-08-24 | PG-PAB | Programa Población General | 256 |
| 22,790 | 2,012 | 0616f30596be9524fbee513d685d2932 | ROBE1**101987 | 1,987 | 32 | 2011-09-12 | 2012-05-08 | PG-PR | Programa Población General | 258 |
| 15,610 | 2,011 | 0616f30596be9524fbee513d685d2932 | ROBE1**101987 | 1,987 | 32 | 2011-04-04 | 2011-10-03 | PG-PAB | Programa Población General | 256 |
| 37,854 | 2,013 | 06faceb13defbd9a1bb63e22913ab1bb | JALO2**071963 | 1,963 | 56 | 2011-05-24 | 2013-11-29 | PG-PAB | Programa Población General | 168 |
| 140,323 | 2,018 | 079ed7fb1f01ba66a7d3409808f3471c | SIOV2**011995 | 1,995 | 24 | 2018-04-30 | 2018-10-22 | M-PAI | Programa Específico Mujeres | 149 |
| 96,747 | 2,016 | 0872294f48bd7e30ee2dfedbc7d85954 | CAFL2**041980 | 1,980 | 39 | 2016-05-02 | 2016-09-01 | PG-PAB | Programa Población General | 612 |
| 126,695 | 2,018 | 0a21d1124c0c4a5d0da592ed6f14cff7 | CAPE1**041987 | 1,987 | 32 | 2016-12-23 | 2018-03-05 | PG-PR | Programa Población General | 167 |
| 70,511 | 2,015 | 0a2dabadf8ca1b2e9ba2e22b38e8ddcb | ANZA1**041979 | 1,979 | 40 | 2014-12-15 | 2015-01-30 | PG-PAI | Programa Población General | 338 |
| 52,022 | 2,014 | 0a2dabadf8ca1b2e9ba2e22b38e8ddcb | ANZA1**041979 | 1,979 | 40 | 2013-10-29 | 2014-03-17 | PG-PAB | Programa Población General | 109 |
| 148,694 | 2,019 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2018-08-01 | 2019-03-08 | PG-PAI | Programa Población General | 290 |
| 118,299 | 2,017 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061999 | 1,999 | 20 | 2017-05-09 | 2017-12-06 | PG-PAB | Programa Población General | 290 |
| 83,582 | 2,015 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**101980 | 1,980 | 39 | 2015-10-22 | 2015-12-01 | PG-PAI | Programa Población General | 290 |
| 74,377 | 2,015 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2015-03-26 | 2015-10-01 | PG-PR | Programa Población General | 297 |
| 74,151 | 2,015 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**051980 | 1,980 | 39 | 2015-03-02 | 2015-03-25 | PG-PAI | Programa Población General | 290 |
| 38,055 | 2,013 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2013-03-11 | 2013-06-04 | PG-PAI | Programa Población General | 290 |
| 27,822 | 2,012 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2012-05-30 | 2012-11-05 | PG-PAB | Programa Población General | 290 |
| 17,971 | 2,011 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2011-08-12 | 2011-10-27 | PG-PAB | Programa Población General | 290 |
| 6,103 | 2,010 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2010-05-27 | 2011-01-26 | PG-PAB | Programa Población General | 290 |
| 3,595 | 2,010 | 0a36a632748c09dcf24fdc962bde1f1a | ROAN1**061980 | 1,980 | 39 | 2009-06-02 | 2010-04-30 | PG-PAB | Programa Población General | 290 |
| 32,489 | 2,013 | 0c66c0b765a83da8d1de567a6463b309 | ANVI2**011978 | 1,978 | 41 | 2012-01-09 | 2013-04-25 | M-PR | Programa Específico Mujeres | 302 |
| 19,974 | 2,011 | 0c66c0b765a83da8d1de567a6463b309 | ANVI2**011978 | 1,978 | 41 | 2011-11-09 | 2012-01-07 | M-PR | Programa Específico Mujeres | 300 |
| 110,751 | 2,017 | 0d450685425ac7fc4e184894e1e84e22 | FESO1**051996 | 1,996 | 23 | 2016-11-04 | 2017-07-01 | PG-PAB | Programa Población General | 502 |
| 134,666 | 2,018 | 0d5782868d35d58892a0f938813f7608 | EDHO1**041960 | 1,960 | 59 | 2018-02-21 | 2018-09-03 | PG-PAI | Programa Población General | 246 |
| 141,214 | 2,018 | 0ecdd96aa26acffb0443024302c88b19 | JECO1**021992 | 1,992 | 27 | 2018-08-20 | 2018-09-20 | PG-PR | Programa Población General | 104 |
| 44,023 | 2,013 | 0ecdd96aa26acffb0443024302c88b19 | JECO1**021992 | 1,992 | 27 | 2013-09-06 | 2013-09-20 | PG-PAI | Programa Población General | 320 |
| 14,854 | 2,011 | 10a7d484048197952a402d58199638f0 | ROES2**071986 | 1,986 | 33 | 2011-03-10 | 2011-09-30 | PG-PAB | Programa Población General | 292 |
| 148,280 | 2,019 | 11bcfa643c44875d8bdcaf47536f8d21 | CRFI1**021991 | 1,991 | 28 | 2018-07-12 | 2019-01-31 | PG-PAI | Programa Población General | 294 |
| 34,361 | 2,013 | 12bcf88002321230829c390f370e5a94 | LUSE1**081989 | 1,989 | 30 | 2012-10-23 | 2013-04-02 | PG-PAB | Programa Población General | 139 |
| 74,755 | 2,015 | 153b828278ea88dc5ab15039e3e0c882 | JONA1**011985 | 1,985 | 34 | 2015-04-01 | 2015-08-06 | PG-PAB | Programa Población General | 626 |
| 132,263 | 2,018 | 16344f388ae51c7cc12cc550acd2ff95 | JOSA1**041981 | 1,981 | 38 | 2017-12-27 | 2018-07-23 | PG-PAB | Programa Población General | 124 |
| 70,111 | 2,015 | 1881f1555ce2c4753b5ee918c1d32bf8 | CASE2**011984 | 1,984 | 35 | 2014-11-12 | 2015-09-02 | M-PR | Programa Específico Mujeres | 159 |
| 58,521 | 2,014 | 1881f1555ce2c4753b5ee918c1d32bf8 | CASE2**011984 | 1,984 | 35 | 2014-06-10 | 2014-09-24 | M-PR | Programa Específico Mujeres | 277 |
| 53,565 | 2,014 | 1881f1555ce2c4753b5ee918c1d32bf8 | CASE2**011984 | 1,984 | 35 | 2014-01-20 | 2014-06-10 | M-PAI | Programa Específico Mujeres | 438 |
| 13,506 | 2,011 | 1892dab247fd46439de490b350394c36 | HESA1**011985 | 1,985 | 34 | 2010-10-27 | 2011-05-11 | PG-PAI | Programa Población General | 108 |
| 9,006 | 2,010 | 1892dab247fd46439de490b350394c36 | HESA1**011985 | 1,985 | 34 | 2010-10-27 | 2011-02-01 | PG-PAB | Programa Población General | 108 |
| 161,042 | 2,019 | 18d02fe910027e6dd0688cb544367604 | BEMO2**041985 | 1,985 | 34 | 2019-07-18 | NA | PG-PAB | Programa Población General | 232 |
| 108,163 | 2,017 | 18d02fe910027e6dd0688cb544367604 | BEMO2**041985 | 1,985 | 34 | 2016-07-18 | 2017-08-31 | M-PAI | Programa Específico Mujeres | 438 |
| 24,824 | 2,012 | 18d02fe910027e6dd0688cb544367604 | BEMO2**041985 | 1,985 | 34 | 2012-01-16 | 2012-03-21 | M-PAI | Programa Específico Mujeres | 149 |
| 112,501 | 2,017 | 18ed67cbe7d0be3b407be54f181fbb49 | FECA1**081988 | 1,988 | 31 | 2017-01-26 | 2017-09-15 | PG-PR | Programa Población General | 267 |
| 44,181 | 2,013 | 18ed67cbe7d0be3b407be54f181fbb49 | FECA1**081988 | 1,988 | 31 | 2013-09-05 | 2013-12-03 | PG-PAI | Programa Población General | 428 |
| 54,843 | 2,014 | 1925b5752041680a6494ecb6a185c753 | CAGA1**011974 | 1,974 | 45 | 2014-02-14 | 2014-03-16 | PG-PR | Programa Población General | 496 |
| 141,906 | 2,018 | 19b20aa4a758b87ae992597fa0f8e166 | EVFU1**011986 | 1,986 | 33 | 2018-09-11 | 2018-12-14 | PG-PR | Programa Población General | 358 |
| 108,661 | 2,017 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**011986 | 1,986 | 33 | 2016-07-28 | 2017-05-12 | PG-PAI | Programa Población General | 261 |
| 70,253 | 2,015 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**011986 | 1,986 | 33 | 2014-11-24 | 2015-03-05 | M-PR | Programa Específico Mujeres | 358 |
| 63,135 | 2,014 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**011986 | 1,986 | 33 | 2014-10-02 | 2014-12-01 | PG-PAI | Programa Población General | 428 |
| 35,288 | 2,013 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**011986 | 1,986 | 33 | 2012-12-05 | 2013-01-31 | M-PR | Programa Específico Mujeres | 243 |
| 28,548 | 2,012 | 1a8bf763c9745393c20c89f46fcc56b4 | TAGU2**011986 | 1,986 | 33 | 2012-07-10 | 2012-10-30 | PG-PAB | Programa Población General | 123 |
| 112,492 | 2,017 | 1b5a4c08bfc9db53e71419ed6b7418c2 | MANA1**021969 | 1,969 | 50 | 2017-01-16 | 2017-08-04 | PG-PR | Programa Población General | 682 |
| 117,592 | 2,017 | 1cca291c439af8de53eefaad88ffedde | DADU2**031985 | 1,985 | 34 | 2017-05-02 | 2018-01-01 | PG-PAB | Programa Población General | 337 |
| 21,986 | 2,012 | 1cca291c439af8de53eefaad88ffedde | DADU2**031985 | 1,985 | 34 | 2011-08-29 | 2012-03-29 | PG-PAB | Programa Población General | 337 |
| 162,026 | 2,019 | 1ccc23513d404cbc37a37b1bc3b7ce77 | RASE1**101972 | 1,972 | 47 | 2019-09-23 | NA | PG-PAB | Programa Población General | 476 |
| 83,535 | 2,015 | 1e605b52e9b58e4bb66f9a6c2f32176d | PASI2**031989 | 1,989 | 30 | 2015-11-03 | 2015-11-30 | M-PR | Programa Específico Mujeres | 243 |
| 68,079 | 2,015 | 1e605b52e9b58e4bb66f9a6c2f32176d | PASI2**031989 | 1,989 | 30 | 2014-08-04 | 2015-01-06 | M-PR | Programa Específico Mujeres | 258 |
| 56,039 | 2,014 | 1e605b52e9b58e4bb66f9a6c2f32176d | PASI2**031989 | 1,989 | 30 | 2014-03-01 | 2014-07-28 | PG-PAI | Programa Población General | 427 |
| 43,356 | 2,013 | 1e605b52e9b58e4bb66f9a6c2f32176d | PASI2**031989 | 1,989 | 30 | 2013-08-21 | 2013-10-03 | M-PR | Programa Población General | 258 |
| 29,473 | 2,012 | 1e605b52e9b58e4bb66f9a6c2f32176d | PASI2**031989 | 1,989 | 30 | 2012-08-28 | 2012-12-03 | M-PR | Programa Específico Mujeres | 243 |
| 109,110 | 2,017 | 1ec3f2c2efb06ba95486d0324984a867 | MERO2**021960 | 1,960 | 59 | 2016-08-24 | 2017-04-10 | PG-PAB | Programa Población General | 224 |
| 55,595 | 2,014 | 2112f4ef70d436947acb8057a43ea2a4 | CLPA1**121980 | 1,980 | 38 | 2014-03-25 | 2014-04-11 | PG-PR | Programa Población General | 154 |
| 50,992 | 2,014 | 2112f4ef70d436947acb8057a43ea2a4 | CLPA1**121980 | 1,980 | 38 | 2013-10-04 | 2014-01-21 | PG-PAB | Programa Población General | 139 |
| 24,684 | 2,012 | 2112f4ef70d436947acb8057a43ea2a4 | CLPA1**121980 | 1,980 | 38 | 2012-02-21 | 2012-11-26 | PG-PAB | Programa Población General | 139 |
| 141,137 | 2,018 | 21803297911589576d8ddacd79b5d55d | CAMA2**101977 | 1,977 | 42 | 2018-08-28 | 2018-10-01 | PG-PAI | Programa Población General | 619 |
| 88,976 | 2,016 | 21e1a0cb1dd23fabdb68277bcec401b8 | CRMA1**011993 | 1,993 | 26 | 2015-08-17 | 2016-10-13 | PG-PAI | Programa Población General | 336 |
| 67,981 | 2,015 | 21e1a0cb1dd23fabdb68277bcec401b8 | CRMA1**011993 | 1,993 | 26 | 2014-07-04 | 2015-01-29 | PG-PAB | Programa Población General | 260 |
| 136,067 | 2,018 | 2311d4b022b6b0ca7f3c8f781db5bd6e | IVMO1**101974 | 1,974 | 45 | 2018-04-12 | 2018-04-15 | PG-PR | Programa Población General | 682 |
| 96,182 | 2,016 | 23938bd85a47c2e8730e47ae8054f62c | VISA2**021982 | 1,982 | 37 | 2016-04-22 | 2016-11-06 | M-PR | Programa Específico Mujeres | 345 |
| 41,569 | 2,013 | 23938bd85a47c2e8730e47ae8054f62c | VISA2**021982 | 1,982 | 37 | 2013-06-24 | 2013-09-10 | M-PR | Programa Específico Mujeres | 219 |
| 37,184 | 2,013 | 23938bd85a47c2e8730e47ae8054f62c | VISA2**021982 | 1,982 | 37 | 2013-02-06 | 2013-06-19 | PG-PAI | Programa Población General | 213 |
| 99,224 | 2,016 | 2576e8499b6e9b9c0eb33037741df8d6 | ALIN1**071975 | 1,975 | 44 | 2016-07-09 | 2016-09-02 | PG-PAB | Programa Población General | 618 |
| 73,491 | 2,015 | 2576e8499b6e9b9c0eb33037741df8d6 | ALIN1**071975 | 1,975 | 44 | 2015-03-13 | 2015-06-04 | PG-PAB | Programa Población General | 618 |
| 149,240 | 2,019 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2018-09-01 | 2019-02-08 | M-PR | Programa Específico Mujeres | 104 |
| 128,968 | 2,018 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2017-08-02 | 2018-02-19 | M-PR | Programa Específico Mujeres | 104 |
| 117,470 | 2,017 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2017-05-03 | 2017-08-01 | M-PAI | Programa Específico Mujeres | 170 |
| 108,602 | 2,017 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2016-08-18 | 2017-04-28 | M-PR | Programa Específico Mujeres | 104 |
| 97,694 | 2,016 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2016-05-27 | 2016-07-19 | M-PAI | Programa Específico Mujeres | 122 |
| 94,527 | 2,016 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2016-03-04 | 2016-05-22 | M-PR | Programa Población General | 652 |
| 92,114 | 2,016 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2016-01-04 | 2016-03-03 | M-PAI | Programa Específico Mujeres | 122 |
| 83,765 | 2,015 | 25c36b6820ac514094c458ba22918452 | ELVI2**111963 | 1,963 | 55 | 2015-09-24 | 2015-12-31 | PG-PAB | Programa Población General | 122 |
| 61,750 | 2,014 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2014-08-05 | 2014-11-05 | M-PR | Programa Específico Mujeres | 163 |
| 34,403 | 2,013 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2012-10-04 | 2013-05-03 | M-PR | Programa Específico Mujeres | 163 |
| 14,097 | 2,011 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2011-01-31 | 2011-12-30 | M-PAI | Programa Específico Mujeres | 122 |
| 8,392 | 2,010 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2010-08-20 | 2010-12-22 | PG-PAI | Programa Población General | 122 |
| 7,698 | 2,010 | 25c36b6820ac514094c458ba22918452 | ELVI2**111962 | 1,962 | 56 | 2010-08-20 | 2010-09-30 | PG-PAB | Programa Población General | 122 |
| 3,022 | 2,010 | 28a68f9ac9ad88bef6d71c87650e171c | DAMU2**091983 | 1,983 | 36 | 2009-12-02 | 2010-08-29 | PG-PAB | Programa Población General | 259 |
| 111,672 | 2,017 | 29b93a33e7344cc48d3cbf4a5facad38 | JAFU1**061991 | 1,991 | 28 | 2017-01-03 | 2017-03-01 | PG-PAI | Programa Población General | 119 |
| 78,911 | 2,015 | 29b93a33e7344cc48d3cbf4a5facad38 | JAFU1**061991 | 1,991 | 28 | 2015-07-20 | 2016-01-27 | PG-PAB | Programa Población General | 113 |
| 67,073 | 2,015 | 29fd17afa366812eeae4f070d949b621 | ALPA1**041981 | 1,981 | 38 | 2014-04-09 | 2015-07-30 | PG-PAI | Programa Población General | 490 |
| 70,564 | 2,015 | 2b45294e123346196cd1849a73934b5f | MAEU2**091985 | 1,985 | 34 | 2014-12-05 | 2015-10-05 | PG-PAB | Programa Población General | 256 |
| 51,544 | 2,014 | 2b45294e123346196cd1849a73934b5f | MAEU2**091985 | 1,985 | 34 | 2013-10-23 | 2014-02-07 | M-PAI | Programa Específico Mujeres | 149 |
| 121,152 | 2,017 | 2b6acccc2cc4d497fb01d0045a41b8f5 | CRVA1**071979 | 1,979 | 40 | 2017-08-09 | 2017-10-24 | PG-PAI | Programa Población General | 207 |
| 58,377 | 2,014 | 2b6acccc2cc4d497fb01d0045a41b8f5 | CRVA1**071979 | 1,979 | 40 | 2014-06-01 | 2014-08-01 | PG-PAB | Programa Población General | 177 |
| 116,833 | 2,017 | 2ba2a92ace74249379d27a134119603f | ROPE1**071983 | 1,983 | 36 | 2017-05-08 | 2017-08-31 | PG-PAI | Programa Población General | 301 |
| 69,232 | 2,015 | 2ba2a92ace74249379d27a134119603f | ROPE1**071983 | 1,983 | 36 | 2014-10-06 | 2015-04-01 | PG-PAB | Programa Población General | 294 |
| 57,959 | 2,014 | 2ba2a92ace74249379d27a134119603f | ROPE1**071983 | 1,983 | 36 | 2014-04-28 | 2014-10-27 | PG-PAI | Programa Población General | 301 |
| 136,436 | 2,018 | 2bf4303825646ee1fb044f426a3a69e0 | IVME1**011980 | 1,980 | 39 | 2018-04-04 | 2018-07-31 | PG-PAI | Programa Población General | 246 |
| 95,170 | 2,016 | 2bf4303825646ee1fb044f426a3a69e0 | IVME1**011980 | 1,980 | 39 | 2016-03-08 | 2016-05-22 | PG-PAB | Programa Población General | 238 |
| 78,815 | 2,015 | 2f72fa7496b7083591d2caff4142a540 | ROMU1**071972 | 1,972 | 47 | 2015-07-01 | 2015-09-30 | PG-PAI | Programa Población General | 162 |
| 107,082 | 2,017 | 302ed871d749f5bc3c73ae857a61a04f | HEPA1**101953 | 1,953 | 66 | 2016-04-21 | 2017-03-01 | PG-PAB | Programa Población General | 599 |
| 43,916 | 2,013 | 307478874831e6772e116074a1115afd | MARO1**041976 | 1,976 | 43 | 2013-08-08 | 2013-11-24 | PG-PR | Programa Población General | 258 |
| 63,614 | 2,014 | 33846b3d1ab12c80e895f2c97183fd6e | IGMU1**111980 | 1,980 | 38 | 2014-10-10 | 2014-12-20 | PG-PR | Programa Población General | 358 |
| 134,421 | 2,018 | 352d4af019cf9259d17b9e617e84374a | FEMO1**051988 | 1,988 | 31 | 2018-02-28 | 2018-03-05 | PG-PR | Programa Población General | 596 |
| 131,135 | 2,018 | 3536ecb01a030126c6ff59f315c95682 | OSBU1**091971 | 1,971 | 48 | 2017-11-09 | 2018-08-29 | PG-PAB | Programa Población General | 613 |
| 70,553 | 2,015 | 3694089f54b38b8d0a07079102a1e3dc | CLHE1**051982 | 1,982 | 37 | 2014-12-11 | 2015-06-30 | PG-PAB | Programa Población General | 368 |
| 146,908 | 2,019 | 3755bba9469ee445d50e20190fa83bbf | CLAL1**091982 | 1,982 | 37 | 2018-03-05 | 2019-07-01 | PG-PAB | Programa Población General | 290 |
| 74,751 | 2,015 | 376cacf6012ee8b1eb6c9594610033e5 | ROCA1**101991 | 1,991 | 28 | 2015-03-20 | 2015-05-29 | PG-PAI | Programa Población General | 246 |
| 138,576 | 2,018 | 39dd71d814e69327a313cdef2d7cd806 | FEPI1**071992 | 1,992 | 27 | 2018-06-14 | 2018-06-15 | PG-PR | Programa Población General | 682 |
| 93,785 | 2,016 | 3a8eb8edf401af5695c140f3a5698829 | DIRA1**091990 | 1,990 | 29 | 2015-12-22 | 2016-03-10 | PG-PAI | Programa Población General | 298 |
| 45,478 | 2,013 | 3abe9a42141394f5d7dcd8cc6599dcb5 | ANLO1**091967 | 1,967 | 52 | 2013-10-14 | 2013-11-04 | PG-PR | Programa Población General | 117 |
| 33,638 | 2,013 | 3abe9a42141394f5d7dcd8cc6599dcb5 | ANLO1**091967 | 1,967 | 52 | 2011-08-02 | 2013-03-29 | PG-PAB | Programa Población General | 109 |
| 22,028 | 2,012 | 3abe9a42141394f5d7dcd8cc6599dcb5 | ANLO1**091967 | 1,967 | 52 | 2011-08-02 | 2012-07-31 | PG-PAI | Programa Población General | 109 |
| 131,206 | 2,018 | 3b604ebd59968de97237cf6a47a22502 | IVBO1**061975 | 1,975 | 44 | 2017-11-22 | 2018-03-01 | PG-PAI | Programa Población General | 141 |
| 68,021 | 2,015 | 3b604ebd59968de97237cf6a47a22502 | IVBO1**061975 | 1,975 | 44 | 2014-06-10 | 2015-03-16 | PG-PAI | Programa Población General | 272 |
| 70,356 | 2,015 | 3bb60d41dee218ae5ae3846057d48b95 | DACA2**091983 | 1,983 | 36 | 2014-12-05 | 2015-04-30 | PG-PAI | Programa Población General | 557 |
| 139,556 | 2,018 | 3c78a6af51709bf3f9a0c5ae9bed4a95 | LUMO1**111987 | 1,987 | 31 | 2018-07-02 | 2018-07-31 | PG-PR | Programa Población General | 688 |
| 93,417 | 2,016 | 3ca3b680130f62d361dbb5826ae1dfda | TERO2**101984 | 1,984 | 35 | 2016-02-05 | 2016-07-31 | M-PR | Programa Específico Mujeres | 488 |
| 51,507 | 2,014 | 3ca3b680130f62d361dbb5826ae1dfda | TERO2**101984 | 1,984 | 35 | 2013-10-14 | 2014-05-16 | M-PR | Programa Específico Mujeres | 488 |
| 147,937 | 2,019 | 3e59c66a1aebcb3d9fdfa1d3bbc1a85c | ROAL1**011990 | 1,990 | 29 | 2018-06-19 | 2019-03-29 | PG-PAI | Programa Población General | 338 |
| 103,787 | 2,016 | 3f77045375df8c1ce7e74ae8c36846ff | JACA1**061976 | 1,976 | 43 | 2016-11-03 | 2016-12-12 | PG-PR | Programa Población General | 132 |
| 74,293 | 2,015 | 3f77045375df8c1ce7e74ae8c36846ff | JACA1**061976 | 1,976 | 43 | 2015-03-25 | 2015-07-01 | PG-PAB | Programa Población General | 602 |
| 37,592 | 2,013 | 4000849a3b0c044434724ac011e14fb2 | CLVA1**101970 | 1,970 | 49 | 2013-03-05 | 2013-10-02 | PG-PAI | Programa Población General | 185 |
| 72,098 | 2,015 | 42096bc0d7cc104bff333c7bb7ab8712 | CAPI1**111960 | 1,960 | 58 | 2015-01-28 | 2015-03-31 | PG-PAB | Programa Población General | 246 |
| 46,455 | 2,013 | 429718cc352bec4dff3cd8c5733dccb3 | WLCU1**031981 | 1,981 | 38 | 2013-11-12 | 2014-01-29 | PG-PAI | Programa Población General | 123 |
| 152,659 | 2,019 | 4372e151fd421219f5122cc46b15b18b | VADI2**071991 | 1,991 | 28 | 2019-01-02 | 2019-03-12 | M-PAI | Programa Específico Mujeres | 756 |
| 144,608 | 2,018 | 4372e151fd421219f5122cc46b15b18b | VADI2**071991 | 1,991 | 28 | 2018-11-26 | 2018-12-20 | PG-PAI | Programa Población General | 200 |
| 121,942 | 2,017 | 4372e151fd421219f5122cc46b15b18b | VADI2**071991 | 1,991 | 28 | 2017-09-15 | 2018-01-02 | PG-PAI | Programa Población General | 200 |
| 87,582 | 2,016 | 4372e151fd421219f5122cc46b15b18b | VADI2**071991 | 1,991 | 28 | 2015-05-29 | 2016-03-31 | PG-PAI | Programa Población General | 501 |
| 59,110 | 2,014 | 4372e151fd421219f5122cc46b15b18b | VADI2**071991 | 1,991 | 28 | 2014-06-04 | 2014-09-30 | M-PAI | Programa Específico Mujeres | 165 |
| 98,376 | 2,016 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**011980 | 1,980 | 39 | 2016-06-13 | 2016-08-29 | M-PAI | Programa Específico Mujeres | 263 |
| 90,745 | 2,016 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2015-11-17 | 2016-06-10 | M-PR | Programa Específico Mujeres | 277 |
| 69,742 | 2,015 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2014-11-05 | 2015-09-30 | M-PR | Programa Específico Mujeres | 277 |
| 63,274 | 2,014 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2014-10-03 | 2014-11-07 | PG-PAI | Programa Población General | 309 |
| 34,492 | 2,013 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2012-10-02 | 2013-06-25 | PG-PAB | Programa Población General | 309 |
| 12,185 | 2,011 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2010-11-18 | 2011-04-13 | PG-PAI | Programa Población General | 309 |
| 1,417 | 2,010 | 45ee4dbdf00e06132d4413bbbd7df417 | PAAD2**051980 | 1,980 | 39 | 2009-07-07 | 2010-04-01 | PG-PAB | Programa Población General | 309 |
| 35,542 | 2,013 | 4642a23aada9426b78c649b329597857 | BASA1**041985 | 1,985 | 34 | 2013-01-04 | 2014-02-14 | PG-PAB | Programa Población General | 146 |
| 129,150 | 2,018 | 46923f82f46c14595e0b398ed4248eae | PACO2**051980 | 1,980 | 39 | 2017-08-25 | 2018-03-08 | M-PAI | Programa Específico Mujeres | 263 |
| 85,314 | 2,015 | 47ef1ed889728efa8c0f2deb0a220669 | MAVI2**081993 | 1,993 | 26 | 2015-12-18 | 2016-01-03 | M-PR | Programa Población General | 652 |
| 59,157 | 2,014 | 47ef1ed889728efa8c0f2deb0a220669 | MAVI2**081993 | 1,993 | 26 | 2014-06-02 | 2014-12-01 | PG-PAI | Programa Población General | 115 |
| 92,548 | 2,016 | 4a2e82359ab80f4110208bc1ef219894 | FRMI1**041992 | 1,992 | 27 | 2016-01-19 | 2016-05-27 | PG-PAB | Programa Población General | 238 |
| 57,430 | 2,014 | 4a2e82359ab80f4110208bc1ef219894 | FRMI1**041992 | 1,992 | 27 | 2014-05-12 | 2014-07-14 | PG-PAI | Programa Población General | 238 |
| 54,598 | 2,014 | 4abfecb81b952e2f8ec21a770a51c2a2 | RARO1**021977 | 1,977 | 42 | 2013-12-19 | 2014-06-27 | PG-PAI | Programa Población General | 260 |
| 78,509 | 2,015 | 4b3d323421de18da767233bda9b0bc87 | CLAL1**021982 | 1,982 | 37 | 2015-06-01 | 2015-09-29 | PG-PAI | Programa Población General | 353 |
| 97,278 | 2,016 | 4ba0607a91d0e839fbd5427c855d30ec | DICE1**021996 | 1,996 | 23 | 2016-05-16 | 2016-07-12 | PG-PR | Programa Población General | 162 |
| 72,281 | 2,015 | 4c4865e8e336059576dafff791406b3d | ORMU1**091977 | 1,977 | 42 | 2015-02-03 | 2015-03-05 | PG-PR | Programa Población General | 163 |
| 95,879 | 2,016 | 4fbe50d4e687e3fed9bb73a1b50e1783 | JAES2**051986 | 1,986 | 33 | 2016-04-01 | 2016-05-18 | M-PAI | Programa Específico Mujeres | 290 |
| 151,845 | 2,019 | 519508aebc18c11a82240a788f40231c | MAGO1**111971 | 1,971 | 47 | 2019-01-09 | 2019-05-02 | PG-PAI | Programa Población General | 721 |
| 135,511 | 2,018 | 519508aebc18c11a82240a788f40231c | MAGO1**111971 | 1,971 | 47 | 2018-03-02 | 2018-06-25 | PG-PAI | Programa Población General | 502 |
| 53,984 | 2,014 | 519508aebc18c11a82240a788f40231c | MAGO1**111971 | 1,971 | 47 | 2014-01-20 | 2014-05-06 | PG-PAB | Programa Población General | 502 |
| 34,898 | 2,013 | 519508aebc18c11a82240a788f40231c | MAGO1**111971 | 1,971 | 47 | 2012-11-05 | 2014-01-29 | PG-PAB | Programa Población General | 328 |
| 37,852 | 2,013 | 522a8c3d145abd04ebcca385a72f6fd4 | JUAL1**071987 | 1,987 | 32 | 2013-03-06 | 2013-06-28 | PG-PAI | Programa Población General | 176 |
| 51,158 | 2,014 | 560ad471cc24efe2380be130700783e2 | ROCH1**011984 | 1,984 | 35 | 2013-10-07 | 2015-01-02 | PG-PAB | Programa Población General | 148 |
| 126,955 | 2,018 | 5669a5838dc918a38827778a7f028dc1 | JOLA1**041972 | 1,972 | 47 | 2017-03-21 | 2018-05-24 | PG-PAB | Programa Población General | 632 |
| 26,984 | 2,012 | 5674b142391373e01dfcc306df2d0dca | CESO1**041982 | 1,982 | 37 | 2012-03-28 | 2012-08-09 | PG-PAI | Programa Población General | 149 |
| 128,673 | 2,018 | 56f99f0c1058dfdc2d862821be68908d | ALBA1**051980 | 1,980 | 39 | 2017-08-01 | 2018-06-24 | PG-PR | Programa Población General | 134 |
| 41,042 | 2,013 | 56f99f0c1058dfdc2d862821be68908d | ALBA1**051980 | 1,980 | 39 | 2013-06-25 | 2013-11-01 | PG-PAI | Programa Población General | 134 |
| 11,437 | 2,011 | 56f99f0c1058dfdc2d862821be68908d | ALBA1**051980 | 1,980 | 39 | 2010-09-29 | 2011-02-04 | PG-PR | Programa Población General | 258 |
| 35,066 | 2,013 | 572a0c1831cd90fd046f1ebc1d67994a | LUGO1**011978 | 1,978 | 41 | 2012-12-10 | 2013-07-30 | PG-PAB | Programa Población General | 255 |
| 147,051 | 2,019 | 577e7eaf4ebd8d1bb224798636dd13c5 | PAOL1**011963 | 1,963 | 56 | 2018-03-16 | NA | PG-PAB | Programa Población General | 270 |
| 16,993 | 2,011 | 577e7eaf4ebd8d1bb224798636dd13c5 | PAOL1**011963 | 1,963 | 56 | 2011-02-23 | 2012-01-02 | PG-PAB | Programa Población General | 232 |
| 161,401 | 2,019 | 5af954ff3acde4f7d82caee53f35ddc3 | JUVA2**091974 | 1,974 | 45 | 2019-09-02 | NA | PG-PAI | Programa Población General | 309 |
| 136,799 | 2,018 | 5af954ff3acde4f7d82caee53f35ddc3 | JUVA2**091974 | 1,974 | 45 | 2018-03-02 | 2018-05-30 | PG-PAI | Programa Población General | 309 |
| 68,928 | 2,015 | 5af954ff3acde4f7d82caee53f35ddc3 | JUVA2**091974 | 1,974 | 45 | 2014-09-25 | 2015-03-30 | PG-PAI | Programa Población General | 309 |
| 2,488 | 2,010 | 5af954ff3acde4f7d82caee53f35ddc3 | JUVA2**091974 | 1,974 | 45 | 2009-12-30 | 2010-08-04 | PG-PAI | Programa Población General | 309 |
| 53,457 | 2,014 | 5bf2ffac7d9611eaca35ca015b8da022 | GUGU1**101986 | 1,986 | 33 | 2014-01-10 | 2014-10-17 | PG-PR | Programa Población General | 183 |
| 48,507 | 2,014 | 5bf2ffac7d9611eaca35ca015b8da022 | GUGU1**091986 | 1,986 | 33 | 2013-03-20 | 2014-01-20 | PG-PAB | Programa Población General | 405 |
| 24,921 | 2,012 | 5bf2ffac7d9611eaca35ca015b8da022 | GUGU1**091986 | 1,986 | 33 | 2012-02-15 | 2012-10-12 | PG-PAI | Programa Población General | 363 |
| 66,650 | 2,015 | 5ca7f13aa49592a33df47a8c92e1a833 | NOCA2**061978 | 1,978 | 41 | 2014-02-28 | 2015-07-03 | M-PAI | Programa Específico Mujeres | 196 |
| 28,076 | 2,012 | 5ca7f13aa49592a33df47a8c92e1a833 | NOCA2**061978 | 1,978 | 41 | 2012-06-27 | 2012-12-03 | PG-PAI | Programa Población General | 178 |
| 71,082 | 2,015 | 5d1ddee3c47756a7faacd4eb6fc05693 | CLHA1**041992 | 1,992 | 27 | 2015-01-21 | 2015-01-22 | PG-PR | Programa Población General | 303 |
| 58,863 | 2,014 | 5d1ddee3c47756a7faacd4eb6fc05693 | CLHA1**041992 | 1,992 | 27 | 2014-05-29 | 2014-07-29 | PG-PAI | Programa Población General | 290 |
| 41,139 | 2,013 | 5d1ddee3c47756a7faacd4eb6fc05693 | CLHA1**041992 | 1,992 | 27 | 2013-06-06 | 2013-07-30 | PG-PAI | Programa Población General | 290 |
| 138,080 | 2,018 | 5f2e9af63730ca0c5f5e37f61595f7d1 | ROSA1**061979 | 1,979 | 40 | 2018-05-28 | 2018-07-25 | PG-PAI | Programa Población General | 261 |
| 123,705 | 2,017 | 5f2e9af63730ca0c5f5e37f61595f7d1 | ROSA1**061979 | 1,979 | 40 | 2017-10-02 | 2017-11-15 | PG-PAI | Programa Población General | 428 |
| 88,017 | 2,016 | 5f2e9af63730ca0c5f5e37f61595f7d1 | ROSA1**061979 | 1,979 | 40 | 2015-06-16 | 2016-03-31 | PG-PR | Programa Población General | 358 |
| 132,975 | 2,018 | 6218383ca3245f183d37109cbad00e7b | ALSU1**101968 | 1,968 | 51 | 2017-12-28 | 2018-04-06 | PG-PAI | Programa Población General | 316 |
| 25,311 | 2,012 | 6218383ca3245f183d37109cbad00e7b | ALSU1**101968 | 1,968 | 51 | 2012-03-12 | 2012-05-16 | PG-PR | Programa Población General | 289 |
| 50,415 | 2,014 | 6342c5d72382ca9d24de6e277e2df32f | MASA2**031980 | 1,980 | 39 | 2013-08-08 | 2014-05-20 | M-PAI | Programa Población General | 157 |
| 95,724 | 2,016 | 638dc4fb2f068057ea83872b81b939c1 | MAMU2**071959 | 1,959 | 60 | 2016-03-10 | 2016-08-24 | PG-PAI | Programa Población General | 156 |
| 69,661 | 2,015 | 65f57f0a6a732ea3780954d538a75428 | SECA1**041963 | 1,963 | 56 | 2014-11-01 | 2015-03-16 | PG-PR | Programa Población General | 496 |
| 114,720 | 2,017 | 675db915f9b72ca8209af209da1a5b09 | JOAR1**021979 | 1,979 | 40 | 2017-03-27 | 2017-05-22 | PG-PAI | Programa Población General | 640 |
| 127,415 | 2,018 | 6c0fd2b68d3a9f0e2b6598e1ab72b94d | DEVI2**081985 | 1,985 | 34 | 2017-05-02 | 2018-05-01 | M-PAI | Programa Específico Mujeres | 502 |
| 102,013 | 2,016 | 6c0fd2b68d3a9f0e2b6598e1ab72b94d | DEVI2**081985 | 1,985 | 34 | 2016-09-20 | 2016-11-28 | M-PR | Programa Específico Mujeres | 345 |
| 89,862 | 2,016 | 6d533b6ebd408688d42997b791dd8a75 | MARA2**111947 | 1,947 | 72 | 2015-10-01 | 2016-04-07 | PG-PAB | Programa Población General | 120 |
| 159,697 | 2,019 | 6ff5532362ac764da4ad9c2e85ae2d61 | ALMO1**081992 | 1,992 | 27 | 2019-05-21 | 2019-10-01 | PG-PAI | Programa Población General | 106 |
| 89,626 | 2,016 | 6ff5532362ac764da4ad9c2e85ae2d61 | ALMO1**081992 | 1,992 | 27 | 2015-09-09 | 2016-02-01 | PG-PR | Programa Población General | 117 |
| 70,491 | 2,015 | 6ff5532362ac764da4ad9c2e85ae2d61 | ALMO1**081992 | 1,992 | 27 | 2014-12-01 | 2015-06-01 | PG-PAI | Programa Población General | 106 |
| 61,522 | 2,014 | 70597f2a60f6148d50cf465be1a3edb5 | MAVI1**011988 | 1,988 | 31 | 2014-07-14 | 2014-09-29 | PG-PAI | Programa Población General | 133 |
| 41,405 | 2,013 | 711029aaa5f478f2c55223d285eb84fe | SHYA1**081984 | 1,984 | 35 | 2013-06-04 | 2013-09-01 | PG-PR | Programa Población General | 163 |
| 34,069 | 2,013 | 711029aaa5f478f2c55223d285eb84fe | SHYA1**081984 | 1,984 | 35 | 2012-10-04 | 2013-03-25 | PG-PAI | Programa Población General | 164 |
| 90,078 | 2,016 | 7254ade7587f29202196fb75b17dc272 | CRBA1**021982 | 1,982 | 37 | 2015-10-21 | 2015-12-30 | PG-PR | Programa Población General | 297 |
| 70,972 | 2,015 | 7254ade7587f29202196fb75b17dc272 | CRBA1**021982 | 1,982 | 37 | 2015-01-21 | 2015-10-16 | PG-PAI | Programa Población General | 295 |
| 15,005 | 2,011 | 72cffa8571b63fa2bbdc803a1f2572f6 | GUCO1**021983 | 1,983 | 36 | 2011-04-12 | 2011-10-26 | PG-PAB | Programa Población General | 146 |
| 149,129 | 2,019 | 72d3bf07e1cfb2e15f7c0f186fa3062d | KARI2**071983 | 1,983 | 36 | 2018-09-10 | NA | M-PAI | Programa Específico Mujeres | 436 |
| 37,139 | 2,013 | 736fae09679c81655531176f2d1fd5e5 | MAAG1**101972 | 1,972 | 47 | 2013-02-01 | 2013-12-02 | PG-PAI | Programa Población General | 330 |
| 36,185 | 2,013 | 736fae09679c81655531176f2d1fd5e5 | MAAG1**101972 | 1,972 | 47 | 2013-01-01 | 2013-02-01 | Otro | Programa Población General | 330 |
| 91,764 | 2,016 | 760ab7c11c153e3f46a49b28e7d28109 | VIMA1**091981 | 1,981 | 38 | 2015-12-01 | 2016-09-26 | PG-PAB | Programa Población General | 454 |
| 49,518 | 2,014 | 78137d8b5d25f99a46ac5e27f740dfa9 | MADI2**081993 | 1,993 | 26 | 2013-06-21 | 2014-09-30 | PG-PAI | Programa Población General | 436 |
| 154,659 | 2,019 | 78b53d7e099c895d0b0c9b0f73188539 | HUPO1**091958 | 1,958 | 61 | 2019-02-15 | 2019-05-03 | PG-PAI | Programa Población General | 251 |
| 11,110 | 2,011 | 78b53d7e099c895d0b0c9b0f73188539 | HUPO1**091958 | 1,958 | 61 | 2010-07-27 | 2011-09-27 | PG-PAB | Programa Población General | 251 |
| 111,655 | 2,017 | 79e485608bd9fae7c792c4c379a0681b | BRGA1**021984 | 1,984 | 35 | 2016-12-22 | 2017-10-01 | PG-PAI | Programa Población General | 419 |
| 77,886 | 2,015 | 7c7a382fbee4f066ddc8afb03be3c826 | EVGA2**051981 | 1,981 | 38 | 2015-06-04 | 2015-07-21 | PG-PAI | Programa Población General | 153 |
| 20,812 | 2,012 | 7f436efd7a0821acc4276c007e0cab22 | BEBE2**121954 | 1,954 | 64 | 2010-11-01 | 2012-01-31 | PG-PAB | Programa Población General | 241 |
| 68,432 | 2,015 | 84959e1b6bdc461afd0af4669917bf52 | YERA2**071984 | 1,984 | 35 | 2014-08-18 | 2015-05-04 | M-PR | Programa Específico Mujeres | 449 |
| 55,836 | 2,014 | 84959e1b6bdc461afd0af4669917bf52 | YERA2**071984 | 1,984 | 35 | 2014-03-25 | 2014-09-01 | M-PAI | Programa Específico Mujeres | 196 |
| 74,391 | 2,015 | 87afef689812b1ad6f576f0e83e5c963 | DABU1**031991 | 1,991 | 28 | 2015-03-27 | 2015-08-26 | PG-PAI | Programa Población General | 140 |
| 72,293 | 2,015 | 87afef689812b1ad6f576f0e83e5c963 | DABU1**031991 | 1,991 | 28 | 2015-01-12 | 2015-03-20 | PG-PAI | Programa Población General | 138 |
| 56,904 | 2,014 | 8933013b58f550a8a72b9d4bc7f694c5 | ZUNA2**061973 | 1,973 | 46 | 2014-04-03 | 2014-07-23 | PG-PAB | Programa Población General | 347 |
| 111,486 | 2,017 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2016-12-01 | 2017-01-13 | PG-PAB | Programa Población General | 295 |
| 100,639 | 2,016 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2016-08-16 | 2016-11-30 | M-PR | Programa Específico Mujeres | 432 |
| 99,752 | 2,016 | 8aaca219f703edb8180889af34c95af7 | VIZA1**091969 | 1,969 | 50 | 2016-07-01 | 2016-08-12 | M-PAI | Programa Específico Mujeres | 290 |
| 93,885 | 2,016 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2016-02-23 | 2016-04-05 | M-PAI | Programa Específico Mujeres | 290 |
| 88,856 | 2,016 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2015-08-01 | 2016-02-22 | PG-PAI | Programa Población General | 299 |
| 63,218 | 2,014 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2014-10-21 | 2015-02-27 | PG-PAB | Programa Población General | 295 |
| 59,152 | 2,014 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2014-06-26 | 2014-10-01 | M-PR | Programa Específico Mujeres | 302 |
| 56,745 | 2,014 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2014-04-09 | 2014-06-27 | PG-PAI | Programa Población General | 290 |
| 37,238 | 2,013 | 8aaca219f703edb8180889af34c95af7 | VIZA2**091969 | 1,969 | 50 | 2013-02-01 | 2014-03-31 | PG-PAI | Programa Población General | 295 |
| 52,582 | 2,014 | 8b9ede9e8fda1c93f5864009a1e18767 | JUBA1**101967 | 1,967 | 52 | 2013-06-26 | 2013-11-13 | PG-PAI | Programa Población General | 336 |
| 53,745 | 2,014 | 8beb99b458dcb70a2c6bdac15d1ffae8 | HICA2**101983 | 1,983 | 36 | 2014-01-13 | 2014-02-21 | M-PR | Programa Específico Mujeres | 165 |
| 48,329 | 2,014 | 8e3ee020d0e375a5465551855beef0d9 | IBFR1**081971 | 1,971 | 48 | 2013-01-30 | 2014-12-29 | PG-PAI | Programa Población General | 178 |
| 48,110 | 2,014 | 8e5281ff55f663f7f125e66b1eed5e30 | CLNE1**051976 | 1,976 | 43 | 2012-12-07 | 2014-07-28 | PG-PAI | Programa Población General | 178 |
| 92,557 | 2,016 | 8e572a0351477ce0b449d79e728935c3 | ANSE2**091992 | 1,992 | 27 | 2015-12-01 | 2016-12-26 | PG-PAI | Programa Población General | 194 |
| 157,565 | 2,019 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**111994 | 1,994 | 25 | 2019-05-27 | 2019-08-23 | PG-PAI | Programa Población General | 132 |
| 153,934 | 2,019 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**111994 | 1,994 | 25 | 2019-02-12 | 2019-02-28 | PG-PR | Programa Población General | 725 |
| 75,540 | 2,015 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**111994 | 1,994 | 25 | 2015-04-13 | 2015-06-01 | M-PAI | Programa Específico Mujeres | 161 |
| 64,937 | 2,014 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**111994 | 1,994 | 25 | 2014-12-02 | 2015-03-17 | M-PAI | Programa Específico Mujeres | 161 |
| 54,653 | 2,014 | 8f354ed21b55fd6e2918d26debc1b248 | ANES2**111994 | 1,994 | 25 | 2014-02-03 | 2014-04-01 | M-PAI | Programa Específico Mujeres | 161 |
| 55,445 | 2,014 | 8f5e3e9746af356cc4fc83d9a115e043 | LEMO1**051978 | 1,978 | 41 | 2014-03-18 | 2014-08-12 | PG-PR | Programa Población General | 258 |
| 127,356 | 2,018 | 9097ba34be47c5e4769cbb380b1a19c3 | SOHU2**051980 | 1,980 | 39 | 2017-04-12 | 2018-04-02 | PG-PAI | Programa Población General | 333 |
| 79,276 | 2,015 | 9097ba34be47c5e4769cbb380b1a19c3 | SOHU2**051980 | 1,980 | 39 | 2015-07-21 | 2015-11-30 | M-PR | Programa Específico Mujeres | 142 |
| 59,653 | 2,014 | 9186bf55e02db4cfa18a94877faaeaae | JOCA1**021985 | 1,985 | 34 | 2014-07-03 | 2015-01-29 | PG-PAB | Programa Población General | 175 |
| 51,561 | 2,014 | 9186bf55e02db4cfa18a94877faaeaae | JOCA1**021985 | 1,985 | 34 | 2013-10-29 | 2014-03-31 | PG-PAB | Programa Población General | 175 |
| 24,352 | 2,012 | 91cf26bab3740af962ca4b4c8d66fa7f | BEMA2**101964 | 1,964 | 55 | 2011-10-05 | 2012-04-03 | M-PAI | Programa Específico Mujeres | 105 |
| 68,530 | 2,015 | 9326cee4bf6b78a580d94d7a2918defe | IVCA1**071960 | 1,960 | 59 | 2014-09-04 | 2015-12-03 | PG-PAB | Programa Población General | 166 |
| 65,369 | 2,015 | 940072c88254c0601c2f9af1d52bdfa8 | JOCO1**081982 | 1,982 | 37 | 2012-06-27 | 2015-10-01 | PG-PAI | Programa Población General | 396 |
| 23,039 | 2,012 | 940072c88254c0601c2f9af1d52bdfa8 | JOCO1**081982 | 1,982 | 37 | 2011-11-10 | 2012-06-30 | PG-PR | Programa Población General | 104 |
| 36,716 | 2,013 | 954bec2ee088c12db31904b363e78a98 | JUSC1**061983 | 1,983 | 36 | 2013-02-04 | 2013-09-02 | PG-PAI | Programa Población General | 132 |
| 128,103 | 2,018 | 9642c561b4782b5626610105f2054076 | JUNU1**021972 | 1,972 | 47 | 2017-06-21 | 2018-03-29 | PG-PAB | Programa Población General | 218 |
| 135,607 | 2,018 | 971a392201dca223bc07f635a7412443 | REJI1**021984 | 1,984 | 35 | 2018-03-20 | 2018-07-23 | PG-PR | Programa Población General | 193 |
| 129,771 | 2,018 | 971a392201dca223bc07f635a7412443 | REJI1**021984 | 1,984 | 35 | 2017-09-01 | 2018-03-19 | PG-PAI | Programa Población General | 181 |
| 42,494 | 2,013 | 972709af06218bfc09d4f028a7f2fa36 | MAOR1**071979 | 1,979 | 40 | 2013-07-11 | 2014-01-07 | PG-PAB | Programa Población General | 370 |
| 117,213 | 2,017 | 99184c090c1d5c6b346ee82ab4b267ff | JUAS1**091980 | 1,980 | 39 | 2017-05-17 | 2017-09-20 | PG-PAI | Programa Población General | 137 |
| 87,623 | 2,016 | 9a7094f7872f46a3f95bc811141ab0b1 | CAHO1**011993 | 1,993 | 26 | 2015-06-04 | 2016-04-01 | PG-PAB | Programa Población General | 590 |
| 67,319 | 2,015 | 9a7094f7872f46a3f95bc811141ab0b1 | CAHO1**011993 | 1,993 | 26 | 2014-06-16 | 2015-01-29 | PG-PAI | Programa Población General | 218 |
| 103,214 | 2,016 | 9b4349d272c562d022b673e4faf943eb | STVA2**071991 | 1,991 | 28 | 2016-10-17 | 2017-01-01 | M-PAI | Programa Específico Mujeres | 502 |
| 70,015 | 2,015 | 9b4349d272c562d022b673e4faf943eb | STVA2**071991 | 1,991 | 28 | 2014-11-25 | 2015-06-01 | PG-PR | Programa Población General | 117 |
| 22,290 | 2,012 | 9b4349d272c562d022b673e4faf943eb | STVA2**071991 | 1,991 | 28 | 2011-09-20 | 2012-06-15 | PG-PAI | Programa Población General | 115 |
| 76,064 | 2,015 | 9cafeebef314301a4d28f9617eb2db84 | HEPO1**011986 | 1,986 | 33 | 2015-04-07 | 2015-06-16 | PG-PR | Programa Población General | 162 |
| 55,071 | 2,014 | 9d13f7974119875c68872c9bb1315169 | MAGA1**101971 | 1,971 | 48 | 2014-02-25 | 2014-07-01 | PG-PAI | Programa Población General | 246 |
| 145,821 | 2,019 | 9d4067490872679cabd325391f43973a | BOCA1**021974 | 1,974 | 45 | 2016-12-05 | NA | PG-PAI | Programa Población General | 299 |
| 45,258 | 2,013 | 9d4067490872679cabd325391f43973a | BOCA1**081971 | 1,971 | 48 | 2013-09-27 | 2014-03-04 | PG-PAB | Programa Población General | 295 |
| 155,622 | 2,019 | a0c04efc4020b66bc9e202d870848f7a | SOMO2**071984 | 1,984 | 35 | 2019-03-22 | NA | PG-PAI | Programa Población General | 501 |
| 91,565 | 2,016 | a0c04efc4020b66bc9e202d870848f7a | SOMO2**101984 | 1,984 | 35 | 2015-12-10 | 2016-06-30 | PG-PAI | Programa Población General | 501 |
| 27,094 | 2,012 | a0c04efc4020b66bc9e202d870848f7a | SOMO1**071984 | 1,984 | 35 | 2012-05-28 | 2012-06-20 | M-PR | Programa Específico Mujeres | 165 |
| 6,603 | 2,010 | a0c04efc4020b66bc9e202d870848f7a | SOMO2**071984 | 1,984 | 35 | 2010-07-01 | 2011-01-31 | M-PAI | Programa Específico Mujeres | 165 |
| 37,843 | 2,013 | a16577eeed6c1bbb24cad0e96f60b2a2 | PAIB2**011971 | 1,971 | 48 | 2013-01-15 | 2013-12-12 | M-PAI | Programa Específico Mujeres | 149 |
| 155,711 | 2,019 | a2593b9c1e36f77aa936f7a1a820d4cd | JUGO1**081978 | 1,978 | 41 | 2019-01-31 | NA | PG-PAB | Programa Población General | 290 |
| 75,734 | 2,015 | a26b1ac1007562c9e19cd5163a68c2ec | KAAN2**041989 | 1,989 | 30 | 2015-03-30 | 2015-07-06 | PG-PAB | Programa Población General | 592 |
| 160,562 | 2,019 | a444a079cae143f4c1a81333206b1fa2 | CRCE1**091974 | 1,974 | 45 | 2019-08-02 | NA | PG-PAI | Programa Población General | 202 |
| 98,690 | 2,016 | a444a079cae143f4c1a81333206b1fa2 | CRCE1**091974 | 1,974 | 45 | 2016-06-02 | 2016-10-24 | PG-PAI | Programa Población General | 202 |
| 92,889 | 2,016 | a444a079cae143f4c1a81333206b1fa2 | CRCE1**091974 | 1,974 | 45 | 2015-12-21 | 2016-04-04 | PG-PAI | Programa Población General | 202 |
| 36,783 | 2,013 | a510b674f569b6bd720ae2f9c4b038b8 | SECA1**081989 | 1,989 | 30 | 2013-02-13 | 2013-07-31 | PG-PAI | Programa Población General | 283 |
| 10,562 | 2,011 | a510b674f569b6bd720ae2f9c4b038b8 | SECA1**081989 | 1,989 | 30 | 2010-06-14 | 2011-05-31 | PG-PAB | Programa Población General | 195 |
| 157,210 | 2,019 | a5b8d096bb62e725e52b61fb28aed343 | EDLE1**031967 | 1,967 | 52 | 2019-04-08 | 2019-10-18 | PG-PAI | Programa Población General | 218 |
| 69,949 | 2,015 | a664b554d169c5f88b243b8c5f47235d | GAPE1**061993 | 1,993 | 26 | 2014-11-26 | 2015-11-09 | PG-PAI | Programa Población General | 169 |
| 38,174 | 2,013 | a664b554d169c5f88b243b8c5f47235d | GAPE1**061993 | 1,993 | 26 | 2013-03-18 | 2013-12-30 | PG-PR | Programa Población General | 162 |
| 156,540 | 2,019 | a67601047b085141dd804da881c173a7 | ALME2**101987 | 1,987 | 32 | 2019-04-22 | NA | PG-PAB | Programa Población General | 476 |
| 127,719 | 2,018 | a67601047b085141dd804da881c173a7 | ALME2**101987 | 1,987 | 32 | 2017-05-29 | 2018-04-16 | PG-PAB | Programa Población General | 476 |
| 48,119 | 2,014 | a6e602feb838ea9b7392e5134f66acb7 | RILI1**061973 | 1,973 | 46 | 2012-12-28 | 2014-03-03 | PG-PAB | Programa Población General | 366 |
| 57,219 | 2,014 | a72f953a356b5a624e919918b63a2fad | JOIB1**071982 | 1,982 | 37 | 2014-04-28 | 2014-08-28 | PG-PR | Programa Población General | 193 |
| 15,409 | 2,011 | a73c7452763307541b29b174fcfeb8c8 | JEMO2**091974 | 1,974 | 45 | 2011-04-01 | 2011-08-31 | PG-PAB | Programa Población General | 145 |
| 4,039 | 2,010 | a73c7452763307541b29b174fcfeb8c8 | JEMO2**091974 | 1,974 | 45 | 2010-03-15 | 2010-05-03 | PG-PAB | Programa Población General | 145 |
| 62,388 | 2,014 | a81b5a68a64ec4989b15b06382a45f6c | ROCI2**091974 | 1,974 | 45 | 2014-09-08 | 2015-01-02 | M-PAI | Programa Específico Mujeres | 438 |
| 70,006 | 2,015 | aa7cc08fd4579be84bdc2dc1ffbd8616 | JOSA1**121975 | 1,975 | 43 | 2014-11-12 | 2015-03-02 | PG-PAI | Programa Población General | 149 |
| 39,740 | 2,013 | aa7cc08fd4579be84bdc2dc1ffbd8616 | JOSA1**121975 | 1,975 | 43 | 2013-05-14 | 2013-09-02 | PG-PR | Programa Población General | 147 |
| 39,137 | 2,013 | ad62e5dacd4b89a12721135a164c2369 | DAVI2**061990 | 1,990 | 29 | 2013-04-03 | 2013-09-25 | PG-PAB | Programa Población General | 428 |
| 71,075 | 2,015 | ae9d88ab75abd959fe3462608dc7702f | GUGA1**031984 | 1,984 | 35 | 2015-01-12 | 2015-03-13 | PG-PAB | Programa Población General | 489 |
| 34,857 | 2,013 | b05925d3aec79d9c5328ce69353e0fdd | UBFU2**011982 | 1,982 | 37 | 2012-11-20 | 2013-02-26 | M-PAI | Programa Específico Mujeres | 262 |
| 108,310 | 2,017 | b1bb5f860c2d5e6ece18574ccde902fc | AROR2**061996 | 1,996 | 23 | 2016-07-13 | 2017-05-24 | M-PR | Programa Específico Mujeres | 488 |
| 72,326 | 2,015 | b36bc9b83aee187478fa1c1b30435529 | ASRO2**081984 | 1,984 | 35 | 2014-12-17 | 2015-02-11 | PG-PAI | Programa Población General | 427 |
| 54,997 | 2,014 | b36bc9b83aee187478fa1c1b30435529 | ASRO2**081984 | 1,984 | 35 | 2014-02-01 | 2014-05-20 | PG-PAI | Programa Población General | 427 |
| 54,083 | 2,014 | b36bc9b83aee187478fa1c1b30435529 | ASRO2**081984 | 1,984 | 35 | 2014-01-06 | 2014-01-23 | M-PR | Programa Específico Mujeres | 358 |
| 38,019 | 2,013 | b36bc9b83aee187478fa1c1b30435529 | ASRO2**081984 | 1,984 | 35 | 2013-03-25 | 2013-04-17 | M-PR | Programa Población General | 258 |
| 52,248 | 2,014 | b3b4e92d7d3256b4bdefc1d57c9a6d01 | PEFR1**011976 | 1,976 | 43 | 2013-11-06 | 2014-03-13 | PG-PAI | Programa Población General | 428 |
| 50,073 | 2,014 | b57bb1be348e3c4c896be4d68043bfdc | EMHE1**011994 | 1,994 | 25 | 2013-07-12 | 2014-03-17 | PG-PAB | Programa Población General | 428 |
| 158,811 | 2,019 | b781ad6ad261463e0113dd2a9666a6d7 | YEAR2**011989 | 1,989 | 30 | 2019-06-03 | 2019-06-04 | M-PR | Programa Específico Mujeres | 165 |
| 66,686 | 2,015 | b781ad6ad261463e0113dd2a9666a6d7 | YEAR2**011989 | 1,989 | 30 | 2014-03-06 | 2015-05-29 | M-PAI | Programa Específico Mujeres | 165 |
| 41,150 | 2,013 | b781ad6ad261463e0113dd2a9666a6d7 | YEAR2**011989 | 1,989 | 30 | 2013-06-14 | 2013-06-27 | M-PR | Programa Específico Mujeres | 165 |
| 115,058 | 2,017 | b9a7dc1763b1eff304d698a26d45987a | PASC2**021970 | 1,970 | 49 | 2017-03-24 | 2017-11-24 | M-PR | Programa Específico Mujeres | 258 |
| 89,244 | 2,016 | b9a7dc1763b1eff304d698a26d45987a | PASC2**021970 | 1,970 | 49 | 2015-09-01 | 2016-03-24 | M-PR | Programa Específico Mujeres | 258 |
| 4,456 | 2,010 | b9a7dc1763b1eff304d698a26d45987a | PASC2**021970 | 1,970 | 49 | 2009-10-05 | 2010-06-01 | PG-PAB | Programa Población General | 258 |
| 115,163 | 2,017 | b9ea83c2b1fbdb556749399b4efd327f | JAAL1**101986 | 1,986 | 33 | 2017-03-31 | 2017-11-24 | PG-PR | Programa Población General | 662 |
| 115,096 | 2,017 | b9ea83c2b1fbdb556749399b4efd327f | JAAL1**101986 | 1,986 | 33 | 2017-01-12 | 2017-03-30 | PG-PAI | Programa Población General | 694 |
| 159,199 | 2,019 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**031985 | 1,985 | 34 | 2019-07-15 | NA | PG-PAI | Programa Población General | 186 |
| 141,224 | 2,018 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**031985 | 1,985 | 34 | 2018-08-02 | 2018-12-01 | PG-PAI | Programa Población General | 186 |
| 71,160 | 2,015 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**031985 | 1,985 | 34 | 2015-01-20 | 2015-03-04 | PG-PAI | Programa Población General | 194 |
| 34,072 | 2,013 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**031985 | 1,985 | 34 | 2012-10-05 | 2013-10-30 | M-PR | Programa Específico Mujeres | 197 |
| 29,975 | 2,012 | bbad69de47dec4c9d0d092210bb2af69 | JOCA2**031985 | 1,985 | 34 | 2012-09-25 | 2012-10-04 | PG-PAI | Programa Población General | 187 |
| 86,817 | 2,016 | be113baceb35ea5ae5a34de7d5c23b84 | CHME1**031990 | 1,990 | 29 | 2015-03-27 | 2016-06-09 | PG-PAI | Programa Población General | 161 |
| 49,881 | 2,014 | bff381e310734e33e4fc846f7360ee77 | BEGA1**121973 | 1,973 | 45 | 2013-07-19 | 2014-02-05 | PG-PAI | Programa Población General | 290 |
| 42,418 | 2,013 | c3a1407863ea6dd75f7897cad33835c7 | DOFR1**101977 | 1,977 | 42 | 2013-06-21 | 2013-10-04 | PG-PAI | Programa Población General | 149 |
| 28,636 | 2,012 | c448e5cd3e78582182916796bf1cd0a3 | JUSA1**081989 | 1,989 | 30 | 2012-07-30 | 2012-09-24 | PG-PAI | Programa Población General | 164 |
| 10,273 | 2,011 | c4a738e3e147557918f4f3a29384617e | RAGA1**071973 | 1,973 | 46 | 2010-02-22 | 2011-09-05 | PG-PAB | Programa Población General | 254 |
| 154,313 | 2,019 | c4b87ed143a1328df096ac3e5ac66752 | CRCR1**021985 | 1,985 | 34 | 2019-03-06 | 2019-07-19 | PG-PR | Programa Población General | 596 |
| 107,069 | 2,017 | c4b87ed143a1328df096ac3e5ac66752 | CRCR1**021985 | 1,985 | 34 | 2016-04-28 | 2017-01-31 | PG-PR | Programa Población General | 596 |
| 33,062 | 2,013 | c4b87ed143a1328df096ac3e5ac66752 | CRCR1**021985 | 1,985 | 34 | 2012-06-04 | 2013-06-04 | PG-PR | Programa Población General | 215 |
| 80,532 | 2,015 | c4d30a1c4557dc3a71da5f034ba3fc57 | JOCU1**111984 | 1,984 | 34 | 2015-08-24 | 2015-11-27 | PG-PR | Programa Población General | 183 |
| 70,519 | 2,015 | c765a4e2af7ab3cc7ae001070b503050 | JADI2**091984 | 1,984 | 35 | 2014-12-01 | 2015-04-27 | M-PR | Programa Específico Mujeres | 234 |
| 60,941 | 2,014 | c765a4e2af7ab3cc7ae001070b503050 | JADI2**091984 | 1,984 | 35 | 2014-08-20 | 2014-09-30 | M-PR | Programa Específico Mujeres | 234 |
| 60,454 | 2,014 | c765a4e2af7ab3cc7ae001070b503050 | JADI2**091984 | 1,984 | 35 | 2014-07-17 | 2014-08-19 | PG-PAB | Programa Población General | 251 |
| 63,397 | 2,014 | c8ac6673fe449df4dc4413cf8c9878b6 | GEOR1**051968 | 1,968 | 51 | 2014-10-01 | 2015-03-09 | PG-PAB | Programa Población General | 290 |
| 50,874 | 2,014 | c8ac6673fe449df4dc4413cf8c9878b6 | GEOR1**051968 | 1,968 | 51 | 2013-09-13 | 2014-01-31 | PG-PAB | Programa Población General | 290 |
| 21,314 | 2,012 | c93824e1813aef5dcc4f242e999a6473 | PAAD1**071974 | 1,974 | 45 | 2011-05-05 | 2012-03-09 | PG-PAI | Programa Población General | 174 |
| 109,934 | 2,017 | ca50b266929877ca56170af4b6ca7501 | ALLI1**071983 | 1,983 | 36 | 2016-10-07 | 2017-04-28 | PG-PAI | Programa Población General | 212 |
| 101,245 | 2,016 | ca50b266929877ca56170af4b6ca7501 | ALLI1**061983 | 1,983 | 36 | 2016-08-05 | 2016-10-06 | PG-PAI | Programa Población General | 146 |
| 43,198 | 2,013 | ca50b266929877ca56170af4b6ca7501 | ALLI1**071983 | 1,983 | 36 | 2013-08-07 | 2013-11-19 | PG-PAI | Programa Población General | 212 |
| 159,703 | 2,019 | ca640aaf41385bea310d7b73f7cdba25 | RARO1**041986 | 1,986 | 33 | 2019-07-09 | NA | PG-PAI | Programa Población General | 162 |
| 1,707 | 2,010 | ca640aaf41385bea310d7b73f7cdba25 | RARO1**011986 | 1,986 | 33 | 2009-10-27 | 2010-02-10 | PG-PR | Programa Población General | 271 |
| 48,901 | 2,014 | cc3f918ca077e0fa589264817e7dfc63 | JUCE1**101969 | 1,969 | 50 | 2013-05-13 | 2014-06-27 | PG-PR | Programa Población General | 358 |
| 160,615 | 2,019 | ccc2249f59cc52ac8d616662b12c3038 | ANOR2**061982 | 1,982 | 37 | 2019-08-12 | 2019-09-05 | PG-PAB | Programa Población General | 211 |
| 105,771 | 2,017 | ccc2249f59cc52ac8d616662b12c3038 | ANOR2**061982 | 1,982 | 37 | 2015-07-22 | 2017-07-24 | PG-PAB | Programa Población General | 211 |
| 12,267 | 2,011 | ccc2249f59cc52ac8d616662b12c3038 | ANOR2**061982 | 1,982 | 37 | 2010-11-17 | 2011-03-10 | M-PR | Programa Específico Mujeres | 277 |
| 8,801 | 2,010 | ccc2249f59cc52ac8d616662b12c3038 | ANOR2**061982 | 1,982 | 37 | 2010-10-14 | 2010-11-05 | M-PR | Programa Específico Mujeres | 234 |
| 132,212 | 2,018 | ce8713622fc6042467a3d3729292eae0 | RAAL1**091979 | 1,979 | 40 | 2017-12-11 | 2018-03-06 | PG-PAI | Programa Población General | 431 |
| 109,159 | 2,017 | ce8713622fc6042467a3d3729292eae0 | RAAL1**091979 | 1,979 | 40 | 2016-09-24 | 2017-03-01 | PG-PR | Programa Población General | 297 |
| 100,300 | 2,016 | ce8713622fc6042467a3d3729292eae0 | RAAL1**091979 | 1,979 | 40 | 2016-07-01 | 2016-09-23 | PG-PAI | Programa Población General | 431 |
| 55,860 | 2,014 | ce8713622fc6042467a3d3729292eae0 | RAAL1**091979 | 1,979 | 40 | 2014-03-26 | 2014-08-05 | PG-PR | Programa Población General | 297 |
| 23,672 | 2,012 | ce8713622fc6042467a3d3729292eae0 | RAAL1**091979 | 1,979 | 40 | 2012-01-04 | 2012-03-05 | PG-PAB | Programa Población General | 291 |
| 34,354 | 2,013 | d19d1ea1d2d029f4bc0f2675d93f3234 | LUGU1**071990 | 1,990 | 29 | 2012-10-22 | 2013-03-07 | PG-PAI | Programa Población General | 207 |
| 147,739 | 2,019 | d2ed9aa7d6555131b46251846e8b8e7b | RUCA2**021985 | 1,985 | 34 | 2018-06-15 | 2019-05-31 | PG-PAB | Programa Población General | 503 |
| 108,436 | 2,017 | d2ed9aa7d6555131b46251846e8b8e7b | RUCA2**021985 | 1,985 | 34 | 2016-08-12 | 2017-08-30 | PG-PAB | Programa Población General | 503 |
| 55,511 | 2,014 | d44603ff4147d1f87a0a8187ea7a7dfe | CLIT2**111966 | 1,966 | 53 | 2014-03-12 | 2014-06-26 | M-PR | Programa Específico Mujeres | 163 |
| 15,937 | 2,011 | d44603ff4147d1f87a0a8187ea7a7dfe | CLIT2**111966 | 1,966 | 53 | 2011-05-10 | 2011-11-02 | PG-PR | Programa Población General | 163 |
| 100,908 | 2,016 | d50338c03da03ab872fb654a5f38c86f | YEBE2**081993 | 1,993 | 26 | 2016-08-17 | 2016-12-01 | M-PAI | Programa Específico Mujeres | 290 |
| 61,761 | 2,014 | d92c4a27171e52747526875b92cfde9a | GECA1**091988 | 1,988 | 31 | 2014-09-03 | 2014-09-05 | PG-PAI | Programa Población General | 320 |
| 118,723 | 2,017 | da430c8ff2f2e7059c4e402228c980d7 | ARFL1**021981 | 1,981 | 38 | 2017-06-27 | 2017-08-31 | PG-PAB | Programa Población General | 502 |
| 1,820 | 2,010 | da430c8ff2f2e7059c4e402228c980d7 | ARFL1**021981 | 1,981 | 38 | 2010-01-13 | 2010-03-25 | PG-PAI | Programa Población General | 123 |
| 122,775 | 2,017 | df2ce933562770d4c8914edbd8738541 | SAGO1**061972 | 1,972 | 47 | 2017-07-03 | 2018-01-31 | PG-PAI | Programa Población General | 225 |
| 138,857 | 2,018 | e0a72ef727d9d08f4e47817ccbe361b9 | JUDI1**081968 | 1,968 | 51 | 2018-06-12 | 2018-08-01 | PG-PAB | Programa Población General | 614 |
| 96,952 | 2,016 | e0a72ef727d9d08f4e47817ccbe361b9 | -JDI1**081968 | 1,968 | 51 | 2016-04-11 | 2016-12-12 | PG-PAB | Programa Población General | 614 |
| 92,922 | 2,016 | e0a72ef727d9d08f4e47817ccbe361b9 | JUDI1**081968 | 1,968 | 51 | 2016-01-04 | 2016-02-25 | Otro | Programa Población General | 141 |
| 64,470 | 2,014 | e2e8be29aee4522e31cf3f6632a7f67d | PARA2**061981 | 1,981 | 38 | 2014-10-29 | 2015-01-08 | PG-PAB | Programa Población General | 145 |
| 118,787 | 2,017 | e40c7ad76b14bfe0f18fed93b19e2dca | ROLO1**061986 | 1,986 | 33 | 2017-06-22 | 2017-12-01 | PG-PAI | Programa Población General | 418 |
| 75,878 | 2,015 | e7b55af427ba709d30c6005f693eb66f | JEGA2**011987 | 1,987 | 32 | 2015-04-29 | 2015-05-13 | M-PR | Programa Específico Mujeres | 219 |
| 42,218 | 2,013 | e7b55af427ba709d30c6005f693eb66f | JEGA2**011987 | 1,987 | 32 | 2013-07-23 | 2013-09-23 | M-PR | Programa Específico Mujeres | 219 |
| 90,090 | 2,016 | e88a3ae889b0c7a5c06244f67acdb09c | MICL1**031980 | 1,980 | 39 | 2015-10-26 | 2016-06-01 | PG-PAI | Programa Población General | 559 |
| 68,645 | 2,015 | e88a3ae889b0c7a5c06244f67acdb09c | MICL1**031980 | 1,980 | 39 | 2014-09-01 | 2015-06-24 | PG-PAB | Programa Población General | 156 |
| 20,844 | 2,012 | e907ad15203b08eec69e4ac53cf2ed1c | VIRE1**071989 | 1,989 | 30 | 2010-12-16 | 2012-10-04 | PG-PAI | Programa Población General | 299 |
| 67,192 | 2,015 | e9b8767932d2c1c268c50986f37d1ac3 | FRVE1**081985 | 1,985 | 34 | 2014-05-22 | 2015-09-25 | PG-PAI | Programa Población General | 359 |
| 79,294 | 2,015 | ea7b8f69ea7b4c84ec05336daea2bd5a | SIAR2**061980 | 1,980 | 39 | 2015-07-28 | 2015-08-10 | M-PR | Programa Específico Mujeres | 142 |
| 80,895 | 2,015 | ea7b8f69ea7b4c84ec05336daea2bd5a | SIAR2**061980 | 1,980 | 39 | 2015-06-12 | 2015-11-26 | PG-PAI | Programa Población General | 141 |
| 12,013 | 2,011 | ec17a1effd2c89815cc0620b0652a13b | JEAL2**071980 | 1,980 | 39 | 2010-03-30 | 2011-07-14 | M-PAI | Programa Específico Mujeres | 196 |
| 152,581 | 2,019 | ee76b9e38e4a9eff202f4a56660c7eca | CAHE2**041988 | 1,988 | 31 | 2018-10-09 | NA | M-PR | Programa Específico Mujeres | 751 |
| 128,292 | 2,018 | ee76b9e38e4a9eff202f4a56660c7eca | CAHE2**041988 | 1,988 | 31 | 2017-06-12 | 2018-10-08 | M-PAI | Programa Específico Mujeres | 149 |
| 136,444 | 2,018 | eee917660c6c73d0554e56dfddf8e543 | ARSO1**061984 | 1,984 | 35 | 2018-03-14 | 2018-06-29 | PG-PAB | Programa Población General | 612 |
| 99,509 | 2,016 | f0e8cdce8a16fae7f1f8f1d7eb726e42 | FRGO1**041982 | 1,982 | 37 | 2016-07-22 | 2016-10-04 | PG-PAB | Programa Población General | 287 |
| 50,676 | 2,014 | f2b452b7b3cb57347dffef25fb906533 | MAAR1**041983 | 1,983 | 36 | 2013-09-02 | 2014-08-11 | PG-PR | Programa Población General | 273 |
| 42,751 | 2,013 | f2b452b7b3cb57347dffef25fb906533 | MAAR1**041983 | 1,983 | 36 | 2013-04-25 | 2013-09-02 | PG-PAI | Programa Población General | 224 |
| 79,333 | 2,015 | f40d70dfb94c7086d9de0ab004a293c6 | DANU2**021974 | 1,974 | 45 | 2015-07-20 | 2015-11-23 | M-PAI | Programa Específico Mujeres | 290 |
| 101,833 | 2,016 | f40e50584376f17c5209a446aded88a5 | MACA1**031974 | 1,974 | 45 | 2016-09-07 | 2016-10-26 | PG-PAI | Programa Población General | 212 |
| 87,456 | 2,016 | f4b40bf329913b8d3f4b5ad5e387ceeb | PEME1**021970 | 1,970 | 49 | 2015-05-06 | 2016-01-08 | PG-PR | Programa Población General | 289 |
| 69,370 | 2,015 | f4b40bf329913b8d3f4b5ad5e387ceeb | PEME1**021970 | 1,970 | 49 | 2014-10-10 | 2015-03-31 | PG-PAI | Programa Población General | 288 |
| 110,487 | 2,017 | f69caa1b82135a69956c4f4293ec4d6f | MAAL2**121961 | 1,961 | 57 | 2016-10-26 | 2017-06-01 | PG-PAB | Programa Población General | 370 |
| 32,200 | 2,013 | f739264a92a4019c5875a5dc2cfa6e9a | CEME1**031988 | 1,988 | 31 | 2011-06-29 | 2013-08-30 | PG-PAB | Programa Población General | 151 |
| 102,583 | 2,016 | f88e060de83599227189511484dd9b44 | WACA1**061981 | 1,981 | 38 | 2016-09-26 | 2017-01-01 | PG-PAI | Programa Población General | 246 |
| 160,222 | 2,019 | f988c37e7ce91c77cf4009e3714d40b1 | TARE2**071986 | 1,986 | 33 | 2019-06-18 | NA | PG-PAB | Programa Población General | 348 |
| 68,141 | 2,015 | fa2ea15f6f06cf6d26eb350fe06d3169 | PABA1**041978 | 1,978 | 41 | 2014-07-18 | 2015-02-06 | PG-PAI | Programa Población General | 301 |
| 89,711 | 2,016 | fa82f67ef3d75abfe25d757e3fd94dda | CAMA1**061987 | 1,987 | 32 | 2015-09-16 | 2016-05-31 | PG-PAB | Programa Población General | 244 |
| 86,231 | 2,016 | fc9685f0326cd580c91283cef901de83 | FELI1**121977 | 1,977 | 41 | 2015-01-02 | 2016-03-28 | PG-PAI | Programa Población General | 141 |
| 51,939 | 2,014 | fc9685f0326cd580c91283cef901de83 | FELI1**121977 | 1,977 | 41 | 2013-11-25 | 2014-09-13 | PG-PR | Programa Población General | 142 |
| 42,439 | 2,013 | fc9685f0326cd580c91283cef901de83 | FELI1**121977 | 1,977 | 41 | 2013-07-18 | 2013-11-21 | PG-PAI | Programa Población General | 141 |
| 36,704 | 2,013 | fcb6557f60d2759df2513c9f9b9115c1 | KLKU1**121977 | 1,977 | 41 | 2013-01-31 | 2013-07-01 | PG-PR | Programa Población General | 162 |
| 24,930 | 2,012 | fcb6557f60d2759df2513c9f9b9115c1 | KLST1**121977 | 1,977 | 41 | 2012-02-21 | 2012-04-02 | PG-PAI | Programa Población General | 169 |
| 41,044 | 2,013 | fee26755a3e4dd7729c1ad2ed5d58fff | RAMA1**091967 | 1,967 | 52 | 2013-06-24 | 2013-10-14 | PG-PAB | Programa Población General | 428 |
#Capture every valid case distinct that has a valid age
CONS_C1_df_dup_age <- dplyr::select(CONS_C1_df, HASH_KEY, id, id_mod, Edad)%>%
dplyr::filter(Edad>=18, Edad<=90) %>% #%>% #dim rows 85490, 4 columns
dplyr::filter(!duplicated(HASH_KEY)) #lo mismo que dplyr::distinct(HASH_KEY)
#Join datasets
dplyr::left_join(CONS_C1_df_dup_ENE_2020_prev2,dplyr::select(CONS_C1_df_dup_age,HASH_KEY,Edad, id,id_mod), by = "HASH_KEY", suffix = c("", ".y")) %>% # dim()
dplyr::mutate(OBS=case_when((Edad<18 & !is.na(Edad.y))|(Edad>90 & !is.na(Edad.y)) ~ paste0(OBS,";","1.4. Replaced invalid ages with same users within the dataset"),
TRUE ~ OBS))%>%
dplyr::mutate(id= ifelse((Edad<18 & !is.na(Edad.y))|(Edad>90 & !is.na(Edad.y)),id.y, id)) %>%
dplyr::mutate(id_mod=ifelse((Edad<18 & !is.na(Edad.y))|(Edad>90 & !is.na(Edad.y)),id_mod.y,id_mod)) %>%
dplyr::mutate(Edad= ifelse(Edad<18|Edad>90,Edad.y, Edad)) %>% #treat as invalid
dplyr::select(-id_mod.y, -id.y) %>%
#dplyr::group_by(Edad) %>% summarise(n=n()) %>% View()
assign("CONS_C1_df_dup_ENE_2020_prev3",., envir = .GlobalEnv)
#The modification of age must be in the end of the changes, so it does not affect the rest of variablesConsidering that the age is a time-invariant variable, we identified the date of admission and the HASH Key. We found similar matches, leading to 0 invalid values in age (<18 or >90), but 232 missing values with 232 different HASH keys.
CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(is.na(Edad)) %>%
arrange(HASH_KEY) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad, SENDA) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 10. Missing Ages among Users with Wrong Dates of Birth",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| row | ano_bd | HASH_KEY | id_mod | ano_nac | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro | Edad | SENDA |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 62,795 | 2,014 | 01fbe3da4feb1c3219154541973737fb | ALKL1**092014 | 2,014 | 2014-09-03 | 2015-03-31 | PG-PAB | Programa Población General | 503 | NA | Si |
| 72,692 | 2,015 | 0253e2fa101b8fefaf7cd01cd69713cd | CLAV1**022015 | 2,015 | 2015-02-11 | 2015-09-22 | PG-PR | Programa Población General | 289 | NA | Si |
| 79,569 | 2,015 | 031a3f135cc8da72da4da70e2111531a | ISSA1**072015 | 2,015 | 2015-07-13 | 2015-08-31 | PG-PAI | Programa Población General | 246 | NA | Si |
| 69,740 | 2,015 | 0337bce679b733b0e7356ab12288d068 | JORO1**091928 | 1,928 | 2014-11-13 | 2015-05-19 | PG-PAB | Programa Población General | 124 | NA | Si |
| 75,275 | 2,015 | 04b4bffa36994c2630693f4a54df5b67 | MAGO1**042015 | 2,015 | 2015-04-01 | 2015-05-15 | PG-PAI | Programa Población General | 290 | NA | Si |
| 68,446 | 2,015 | 0597f7749e119dd2d9985d9d32ca1d40 | VAMO1**082014 | 2,014 | 2014-08-07 | 2015-03-31 | PG-PAI | Programa Población General | 246 | NA | Si |
| 66,658 | 2,015 | 064ea650536bddb515573f1261b3ff19 | JEOL2**032014 | 2,014 | 2014-03-11 | 2015-07-31 | PG-PAI | Programa Población General | 501 | NA | Si |
| 92,324 | 2,016 | 067111045233f423b404adc621ae9f37 | JACO2**122015 | 2,015 | 2015-12-02 | 2016-05-25 | PG-PAI | Programa Población General | 218 | NA | Si |
| 76,089 | 2,015 | 0bb343da15bba120555cc4de136c9719 | WACH1**042015 | 2,015 | 2015-04-30 | 2015-09-01 | PG-PAB | Programa Población General | 136 | NA | Si |
| 67,700 | 2,015 | 0c3e66e2db04da0d3423a9264874458c | MAFU1**062014 | 2,014 | 2014-06-24 | 2015-02-12 | PG-PAB | Programa Población General | 428 | NA | Si |
| 62,380 | 2,014 | 0c8e2d388c54c38b56d727848623e1c3 | FAFL1**092014 | 2,014 | 2014-09-22 | 2014-11-03 | PG-PAB | Programa Población General | 195 | NA | Si |
| 59,544 | 2,014 | 1033515b6c374de294fc70f88738d49c | YUJA1**012014 | 2,014 | 2014-07-01 | 2015-01-30 | PG-PAB | Programa Población General | 211 | NA | Si |
| 90,666 | 2,016 | 11e10f01088fec73c3faf6c1e4c262d2 | NIGA1**022015 | 2,015 | 2015-11-02 | 2016-11-21 | PG-PR | Programa Población General | 341 | NA | Si |
| 1,444 | 2,010 | 1257b2d7deca5d747569d13ee288aaca | ELGO2**091909 | 1,909 | 2009-09-03 | 2010-04-12 | PG-PAB | Programa Población General | 261 | NA | Si |
| 57,944 | 2,014 | 14604a942e84698e0484ec20a8eca468 | PEER1**042014 | 2,014 | 2014-05-29 | 2014-08-01 | PG-PAB | Programa Población General | 502 | NA | Si |
| 71,824 | 2,015 | 1477c904ac5398a6e67150861ef39fd1 | LUCE1**012015 | 2,015 | 2015-01-09 | 2015-03-24 | PG-PAI | Programa Población General | 428 | NA | Si |
| 80,128 | 2,015 | 1712f12578a18387328d0de6bf269671 | OSFR1**082015 | 2,015 | 2015-08-03 | 2015-12-01 | PG-PAB | Programa Población General | 410 | NA | Si |
| 90,298 | 2,016 | 17427b747a8e5d8ecdcdec6a781a277b | MAZU1**102015 | 2,015 | 2015-10-27 | 2016-04-01 | PG-PR | Programa Población General | 496 | NA | Si |
| 87,968 | 2,016 | 18f1041924d48c9440b4b397267a58f2 | MAAL1**062015 | 2,015 | 2015-06-22 | 2016-05-31 | PG-PAB | Programa Población General | 424 | NA | Si |
| 54,902 | 2,014 | 1a6377dca692b67788c885a4bc1ec3f9 | IGMU1**022014 | 2,014 | 2014-02-05 | 2014-03-03 | PG-PAI | Programa Población General | 366 | NA | Si |
| 51,069 | 2,014 | 1c3c2376668e31123e289c63079700cb | DASA1**102013 | 2,013 | 2013-10-07 | 2014-12-19 | PG-PAB | Programa Población General | 255 | NA | Si |
| 89,952 | 2,016 | 1dfa0e65e45414b0dc071b61d1bac1a9 | PAGU2**082015 | 2,015 | 2015-09-30 | 2016-10-18 | PG-PAB | Programa Población General | 153 | NA | Si |
| 89,613 | 2,016 | 1e68079fe8042f39debe84e3f1661e58 | IVCA1**042015 | 2,015 | 2015-09-10 | 2016-11-01 | PG-PAB | Programa Población General | 295 | NA | Si |
| 51,204 | 2,014 | 1e837895d8784a93f1c62e919afad21c | JOSA1**072013 | 2,013 | 2013-10-18 | 2014-01-22 | PG-PAB | Programa Población General | 408 | NA | Si |
| 88,696 | 2,016 | 1ec175566a7db6b94d4caf1b5b60be1e | ROFL1**052015 | 2,015 | 2015-08-06 | 2016-04-07 | PG-PAI | Programa Población General | 433 | NA | Si |
| 105,857 | 2,017 | 1fcf34aa0db73c4218e224628c6173f9 | GUVE1**082015 | 2,015 | 2015-08-20 | 2017-08-31 | PG-PAI | Programa Población General | 246 | NA | Si |
| 72,525 | 2,015 | 23c1b3a412e3b90dd0b06389df178058 | CAAR1**012014 | 2,014 | 2015-02-11 | 2015-03-31 | PG-PAI | Programa Población General | 169 | NA | Si |
| 76,765 | 2,015 | 23d171a1e81628ce29ca5c83d29ac59b | CRMA1**032015 | 2,015 | 2015-05-12 | 2015-06-30 | PG-PAI | Programa Población General | 141 | NA | Si |
| 53,493 | 2,014 | 2442f03286793ebc9875b7520acc486a | JHRI1**112013 | 2,013 | 2013-12-04 | 2014-04-22 | PG-PAB | Programa Población General | 298 | NA | Si |
| 87,458 | 2,016 | 26228558eb3142a325eb9793b7a7643c | GEPI1**052015 | 2,015 | 2015-05-19 | 2016-05-06 | PG-PAI | Programa Población General | 502 | NA | Si |
| 74,358 | 2,015 | 26e45f32b4f6ff42ec7d6d46d7aff22a | RISO1**032015 | 2,015 | 2015-03-25 | 2015-06-01 | PG-PAB | Programa Población General | 347 | NA | Si |
| 70,848 | 2,015 | 284cbae307136f57dc7d41335d55d58d | MIVA1**102014 | 2,014 | 2014-12-01 | 2015-04-24 | PG-PAB | Programa Población General | 106 | NA | Si |
| 69,260 | 2,015 | 295ffae266ef2715937d60071b8014cc | JOAN1**102014 | 2,014 | 2014-10-16 | 2015-04-30 | PG-PAI | Programa Población General | 140 | NA | Si |
| 1,192 | 2,010 | 2a3853fc81a5770ceda4e0b85d7e330a | ALVE2**021909 | 1,909 | 2009-01-27 | 2010-06-23 | M-PAI | Programa Específico Mujeres | 105 | NA | Si |
| 51,848 | 2,014 | 2a77572cc6a27c03e6fe4cc2057891c7 | CAPI2**072013 | 2,013 | 2013-11-07 | 2014-03-03 | M-PAI | Programa Población General | 288 | NA | No |
| 68,841 | 2,015 | 2b5678acbd5e4353d3e9fb911de43ab7 | RURI1**092014 | 2,014 | 2014-09-02 | 2015-05-05 | PG-PAB | Programa Población General | 195 | NA | Si |
| 70,353 | 2,015 | 2c2ee233da3f8c82ce2086568d31c26f | DAAS1**062014 | 2,014 | 2014-11-24 | 2015-02-02 | PG-PAI | Programa Población General | 504 | NA | No |
| 105,458 | 2,017 | 2cdd842e8b1102992ff2c060e7b46178 | CASA1**122014 | 2,014 | 2014-11-21 | 2017-05-04 | PG-PAB | Programa Población General | 418 | NA | Si |
| 45,085 | 2,013 | 2df0eb141ab0b668005ee0524fc91eb7 | JOPA1**082013 | 2,013 | 2013-08-12 | 2014-01-31 | PG-PAI | Programa Población General | 246 | NA | Si |
| 86,169 | 2,016 | 2e4323b185c2452a0c2d6592b1c04520 | ABAV1**082014 | 2,014 | 2014-12-12 | 2016-06-08 | PG-PAI | Programa Población General | 320 | NA | Si |
| 74,306 | 2,015 | 2f9c6bdeb0243e28bee1b104c0253940 | IGRE1**032015 | 2,015 | 2015-03-17 | 2015-05-14 | PG-PAB | Programa Población General | 211 | NA | Si |
| 106,128 | 2,017 | 32c4704bfeef5a559ca9c67197cee23e | JOSO1**092015 | 2,015 | 2015-11-27 | 2017-06-30 | PG-PAI | Programa Población General | 425 | NA | Si |
| 64,325 | 2,014 | 32ed8512c8004bf8dc40a2c081dd3788 | ALPA1**092014 | 2,014 | 2014-11-18 | 2015-02-09 | PG-PAB | Programa Población General | 139 | NA | Si |
| 54,604 | 2,014 | 34988293c8162aa967982d80b52679f8 | MIBU2**022014 | 2,014 | 2014-02-18 | 2014-05-30 | PG-PAB | Programa Población General | 417 | NA | Si |
| 78,287 | 2,015 | 35d671008a3675d718729ae27236f451 | LUTO1**102014 | 2,014 | 2015-03-25 | 2016-02-15 | PG-PAI | Programa Población General | 186 | NA | Si |
| 105,447 | 2,017 | 385db5fabdcc42c18df66d707507b4a8 | RIPL1**012014 | 2,014 | 2014-12-01 | 2017-04-28 | PG-PAI | Programa Población General | 299 | NA | Si |
| 60,040 | 2,014 | 3c95fa27af813ce64585b46390470d28 | GUES1**072014 | 2,014 | 2014-07-03 | 2014-12-25 | PG-PAB | Programa Población General | 292 | NA | Si |
| 89,803 | 2,016 | 3d108204060b79bd179ed442cd81c510 | VAUR2**082015 | 2,015 | 2015-08-24 | NA | Otro | Otro | 291 | NA | No |
| 86,860 | 2,016 | 3d58ce54ad57203b04f0fe7b8cb010d4 | MAVE1**032015 | 2,015 | 2015-03-02 | 2016-06-30 | PG-PR | Programa Población General | 162 | NA | Si |
| 44,517 | 2,013 | 3e6a828045d78e1702575a459bbce640 | JOUR2**092013 | 2,013 | 2013-09-30 | 2013-10-07 | M-PR | Programa Específico Mujeres | 234 | NA | Si |
| 61 | 2,010 | 40b6915c6ee34519efcbe0d312a140a6 | SAHE2**111909 | 1,909 | 2009-11-13 | 2010-02-26 | PG-PAI | Programa Población General | 134 | NA | Si |
| 78,839 | 2,015 | 40dca59840a518a1c1419b462180edd2 | ITQU1**042015 | 2,015 | 2015-06-18 | 2015-12-15 | PG-PAB | Programa Población General | 261 | NA | Si |
| 81,439 | 2,015 | 4124ab2d1b1d4b06b9fe7c82f35087c2 | HERO2**062015 | 2,015 | 2015-09-03 | 2015-12-16 | PG-PAB | Programa Población General | 626 | NA | No |
| 61,040 | 2,014 | 429adc359b8b2c6d00eec510b8545971 | CRVA2**052014 | 2,014 | 2014-05-02 | 2014-11-25 | Otro | Otro | 291 | NA | No |
| 88,595 | 2,016 | 43ff82a0657a99412f9af20ed2e9d79d | JORE1**082015 | 2,015 | 2015-08-05 | 2016-03-30 | PG-PAI | Programa Población General | 595 | NA | Si |
| 75,182 | 2,015 | 449ace14bc362c285c7a7a6a648240a0 | MAQU1**032015 | 2,015 | 2015-03-17 | 2016-02-01 | PG-PAI | Programa Población General | 309 | NA | Si |
| 80,980 | 2,015 | 44d3b44b5e1af81046b94f18b9bf6719 | HAST1**012015 | 2,015 | 2015-08-10 | 2015-12-14 | PG-PAB | Programa Población General | 253 | NA | Si |
| 86,035 | 2,016 | 451cc0dcd48441aafd693dd477bdaa88 | CLSO1**092014 | 2,014 | 2014-11-19 | 2016-04-28 | PG-PAB | Programa Población General | 406 | NA | Si |
| 51,689 | 2,014 | 4527b737a811d4145e677ea5336d53c1 | ENCA1**032013 | 2,013 | 2013-11-12 | 2014-02-03 | PG-PAI | Programa Población General | 425 | NA | Si |
| 88,815 | 2,016 | 48358f8da531b84db0c85f3639a09a04 | LUCA1**022015 | 2,015 | 2015-08-25 | 2016-08-02 | PG-PAB | Programa Población General | 455 | NA | Si |
| 81,762 | 2,015 | 499c84ea7b979ac92d9676d9733473cb | LUFA1**092015 | 2,015 | 2015-09-28 | 2015-11-30 | PG-PAB | Programa Población General | 199 | NA | Si |
| 74,269 | 2,015 | 49fa8657fc41e47ea2b0eb0262cd016c | JUGO1**082014 | 2,014 | 2015-03-05 | 2015-07-30 | PG-PAB | Programa Población General | 615 | NA | No |
| 70,612 | 2,015 | 4a0cdcf2a03c76f799020c095f4564f2 | HERI1**122013 | 2,013 | 2014-12-01 | 2015-11-02 | PG-PAB | Programa Población General | 106 | NA | Si |
| 79,686 | 2,015 | 4ae1f1d592ec4b436a529f14d4fcf81c | LOMA2**072015 | 2,015 | 2015-07-30 | 2015-10-15 | PG-PAB | Programa Población General | 632 | NA | Si |
| 67,890 | 2,015 | 4c3b027aaab3ebb21acd62330d1292f2 | JOPI1**052014 | 2,014 | 2014-06-09 | 2015-08-01 | PG-PAI | Programa Población General | 337 | NA | Si |
| 90,247 | 2,016 | 4c7781ef7fdf301ebff0b016367c4df4 | HEIB1**092015 | 2,015 | 2015-10-01 | 2016-08-09 | PG-PAI | Programa Población General | 634 | NA | Si |
| 2,784 | 2,010 | 4d1619ea9534b215c6f8729d32950fb6 | MIGU1**091909 | 1,909 | 2009-11-23 | 2010-05-01 | PG-PR | Programa Población General | 179 | NA | Si |
| 63,550 | 2,014 | 4d172b7d430a3d84688623da52d8dc7c | DACE1**082014 | 2,014 | 2014-10-06 | 2015-01-27 | Otro | Programa Población General | 141 | NA | No |
| 52,329 | 2,014 | 4e0ae098b557c5b79a094a4f3d629092 | ALLO1**062013 | 2,013 | 2013-12-03 | 2014-10-08 | PG-PAI | Programa Población General | 365 | NA | Si |
| 50,990 | 2,014 | 4feab54661843621e99998f4d6b57380 | CIJO1**042013 | 2,013 | 2013-09-11 | 2014-05-27 | PG-PAB | Programa Población General | 348 | NA | No |
| 68,915 | 2,015 | 500f972bc4189dcc23b1fa48d3f0bf91 | GLHU2**032014 | 2,014 | 2014-09-30 | 2015-07-10 | PG-PAI | Programa Población General | 132 | NA | Si |
| 62,889 | 2,014 | 53f1bae51684d06843d5bf7e15fe658c | JUOL1**032014 | 2,014 | 2014-10-01 | 2015-01-28 | PG-PAI | Programa Población General | 418 | NA | Si |
| 58,526 | 2,014 | 53fd1e903046ccbf29f0328f2fbada0c | CHRA1**062014 | 2,014 | 2014-06-02 | 2014-06-25 | PG-PAI | Programa Población General | 290 | NA | Si |
| 20,682 | 2,012 | 54941be1a9e27de0e090c3ca4cc20196 | NACO1**051910 | 1,910 | 2010-04-20 | 2012-07-31 | PG-PAB | Programa Población General | 151 | NA | Si |
| 90,139 | 2,016 | 553ac3927dd9ab869f240c5da4f95361 | PATA2**072015 | 2,015 | 2015-09-05 | 2016-03-18 | PG-PAB | Programa Población General | 229 | NA | Si |
| 72,964 | 2,015 | 567ff79213fc81839632ea14ad3715ae | RIMO1**042014 | 2,014 | 2015-02-20 | 2015-11-30 | PG-PAB | Programa Población General | 204 | NA | Si |
| 58,446 | 2,014 | 569445fd9ec006917858027e18df04b4 | JUFL1**042014 | 2,014 | 2014-06-10 | 2014-09-29 | PG-PAB | Programa Población General | 177 | NA | Si |
| 79,777 | 2,015 | 56b3ce1aba672f5ac1f78a849709d430 | LUVI1**062015 | 2,015 | 2015-07-09 | 2015-11-02 | Otro | Programa Población General | 146 | NA | No |
| 66,253 | 2,015 | 56e428e0a109d38555aa56f80298b55f | NEOR1**092013 | 2,013 | 2014-01-22 | 2015-04-08 | PG-PAI | Programa Población General | 327 | NA | Si |
| 125,808 | 2,018 | 578ae693be289de023125ddd2777dd1c | GARO1**012015 | 2,015 | 2015-01-07 | 2018-05-15 | PG-PAI | Programa Población General | 146 | NA | Si |
| 65,294 | 2,014 | 57f7766d6acfaf329f8a6c7c5546f4cc | LUNA1**082014 | 2,014 | 2014-12-10 | 2015-04-29 | PG-PAB | Programa Población General | 224 | NA | Si |
| 66,707 | 2,015 | 5985ca3d94a92d6159abbcf091a8505e | CRTO1**032014 | 2,014 | 2014-03-19 | 2015-04-01 | PG-PAB | Programa Población General | 195 | NA | Si |
| 69,414 | 2,015 | 5acc266b551b73f526c5350f441d64cb | SECO1**102014 | 2,014 | 2014-09-01 | 2015-07-14 | PG-PAI | Programa Población General | 171 | NA | Si |
| 80,440 | 2,015 | 5c42f484a032a08deae9a0774beb9549 | MARO1**112014 | 2,014 | 2015-08-06 | 2015-10-29 | Otro | Programa Población General | 141 | NA | No |
| 87,482 | 2,016 | 5d8091081085c2019f231071c383dea0 | JOGU1**042015 | 2,015 | 2015-05-04 | 2016-12-06 | PG-PAB | Programa Población General | 204 | NA | Si |
| 51,627 | 2,014 | 5e1528a265d1f0896cb353a44e765354 | GALE1**112013 | 2,013 | 2013-11-05 | 2014-06-02 | PG-PR | Programa Población General | 147 | NA | No |
| 82,297 | 2,015 | 5ea1c7ba606efe2df58e49e360312e75 | ROZU1**092015 | 2,015 | 2015-09-22 | 2015-10-31 | PG-PAI | Programa Población General | 246 | NA | Si |
| 66,001 | 2,015 | 5f3f15beb64e965bb3c6e89f1936d3eb | RIVA1**042013 | 2,013 | 2013-11-05 | 2015-11-05 | PG-PAB | Programa Población General | 253 | NA | Si |
| 53,634 | 2,014 | 5f8c1b285772d02d0b886ed5a2460fbd | MIMI1**022013 | 2,013 | 2014-01-13 | 2014-11-21 | PG-PAB | Programa Población General | 153 | NA | No |
| 86,156 | 2,016 | 60b094b379debfc27e4accd6d60cd354 | JOMA2**082014 | 2,014 | 2014-12-01 | 2016-06-20 | PG-PAI | Programa Población General | 299 | NA | Si |
| 53,993 | 2,014 | 62a9e64ddba550f4004a6327918f57fc | RARU1**062013 | 2,013 | 2014-01-23 | 2014-12-12 | PG-PAB | Programa Población General | 151 | NA | Si |
| 76,629 | 2,015 | 636046ed13f419997e2c05bfd3ac6ae6 | MOAR1**012015 | 2,015 | 2015-04-23 | 2015-07-01 | PG-PAI | Programa Población General | 443 | NA | Si |
| 44,559 | 2,013 | 6567363878a5b347f469a390f9644d52 | BAAR1**062013 | 2,013 | 2013-09-26 | 2013-10-21 | PG-PR | Programa Población General | 201 | NA | Si |
| 67,894 | 2,015 | 65e32b6aaa8e3cc506bdd56a69b355d4 | VAVI2**072014 | 2,014 | 2014-07-19 | 2015-03-25 | PG-PAB | Programa Población General | 124 | NA | Si |
| 128,353 | 2,018 | 66e4d31c4c6575527f8ed58455396f17 | VICA1**071917 | 1,917 | 2017-07-24 | 2018-04-30 | PG-PAI | Programa Población General | 176 | NA | Si |
| 51,997 | 2,014 | 689bae1438650be7199ded91cbc7552f | JOCO1**092013 | 2,013 | 2013-10-25 | 2014-03-04 | PG-PAI | Programa Población General | 207 | NA | Si |
| 106,134 | 2,017 | 68a1abebf175673e62b97b65fde63b50 | BRHE1**092015 | 2,015 | 2015-12-09 | 2017-10-30 | PG-PAI | Programa Población General | 171 | NA | Si |
| 69,781 | 2,015 | 698507f0316d47f1c63f9e104554cd40 | RUAG1**112014 | 2,014 | 2014-11-18 | 2015-02-05 | PG-PR | Programa Población General | 132 | NA | Si |
| 105,628 | 2,017 | 6d672b5d02dada8fd6ad1c3a38a69b7f | LUGO2**022015 | 2,015 | 2015-05-06 | 2017-03-30 | PG-PAB | Programa Población General | 622 | NA | Si |
| 74,586 | 2,015 | 6d6a0565c927a30d8fd5a12567a8a5ee | CASA2**032015 | 2,015 | 2015-02-26 | 2015-06-05 | M-PAI | Programa Específico Mujeres | 438 | NA | Si |
| 51,995 | 2,014 | 702968577b4f960a8c1c08df3c495ff0 | ENRO1**072013 | 2,013 | 2013-11-04 | 2014-03-03 | PG-PAI | Programa Población General | 207 | NA | Si |
| 86,097 | 2,016 | 7174125eeee1dee2ecd1867301ccb51d | PASO1**112014 | 2,014 | 2014-11-11 | 2016-04-04 | PG-PAI | Programa Población General | 115 | NA | Si |
| 81,596 | 2,015 | 71a82aae5397aa241fa4dada09813f9f | SEPA1**022015 | 2,015 | 2015-08-25 | 2016-01-06 | PG-PAB | Programa Población General | 259 | NA | Si |
| 76,917 | 2,015 | 71c03223af1ce120cdfb9c0b55b4db53 | ROTR1**052015 | 2,015 | 2015-05-04 | 2015-12-16 | PG-PAB | Programa Población General | 428 | NA | Si |
| 77,489 | 2,015 | 71ddf29f1cc888fdc73304ec5d6aa270 | FRME1**012015 | 2,015 | 2015-01-29 | 2015-06-30 | PG-PAI | Programa Población General | 559 | NA | Si |
| 52,932 | 2,014 | 72326747760e7be6a2162ab0037f2a07 | JOCO2**122013 | 2,013 | 2013-08-12 | 2015-07-08 | PG-PAB | Programa Población General | 224 | NA | Si |
| 56,845 | 2,014 | 743347c25e9f31237b16863597fd9010 | BATA2**042014 | 2,014 | 2014-04-28 | 2014-11-17 | PG-PAB | Programa Población General | 151 | NA | Si |
| 66,096 | 2,015 | 753861a2ae44c51b6dc7096f99c15b67 | MAFL1**122013 | 2,013 | 2013-12-04 | 2015-02-03 | PG-PAB | Programa Población General | 113 | NA | Si |
| 51,272 | 2,014 | 76f23cc26b988b93413645ba8119c6cc | ESES1**102013 | 2,013 | 2013-10-23 | 2014-04-01 | PG-PAI | Programa Población General | 121 | NA | Si |
| 52,100 | 2,014 | 76fa641216f9a7ebf3a5f14344383c44 | LUCO2**042013 | 2,013 | 2013-11-13 | 2014-03-03 | PG-PR | Programa Población General | 117 | NA | Si |
| 74,157 | 2,015 | 784296c4ebb2cdad231eaa4ea6e8280b | GHSO2**032015 | 2,015 | 2015-03-05 | 2015-05-19 | PG-PAI | Programa Población General | 202 | NA | Si |
| 74,523 | 2,015 | 7a63ad8ba5f2f5794d1a5193b0f3df27 | ROAG1**012015 | 2,015 | 2015-03-10 | 2015-04-23 | PG-PAI | Programa Población General | 133 | NA | Si |
| 105,641 | 2,017 | 7bb2cbe20c6cfefb16c861d7bac904a5 | TIHE2**052015 | 2,015 | 2015-05-06 | 2017-03-01 | PG-PAB | Programa Población General | 600 | NA | Si |
| 66,646 | 2,015 | 7cecf6ed64eb80f86f0d2db834fd85dc | ARFE1**032014 | 2,014 | 2014-03-05 | 2015-05-14 | PG-PAB | Programa Población General | 431 | NA | Si |
| 90,982 | 2,016 | 7fbbdc4747c2ae7f8c11e215ef386645 | NOME1**092015 | 2,015 | 2015-11-18 | 2016-01-05 | PG-PAI | Programa Población General | 338 | NA | Si |
| 76,575 | 2,015 | 804947be8b59ba91b7600127e11ea3a1 | SEVA1**052015 | 2,015 | 2015-05-04 | 2015-09-29 | Otro | Programa Población General | 141 | NA | No |
| 75,178 | 2,015 | 80c08f09810f85cf3494b3475b4855fc | NIGA2**032015 | 2,015 | 2015-04-01 | 2015-08-31 | M-PAI | Programa Específico Mujeres | 170 | NA | Si |
| 75,311 | 2,015 | 80f24bdee1dead2b03206b20db9eed95 | JOVI1**042015 | 2,015 | 2015-04-23 | 2015-09-25 | PG-PAB | Programa Población General | 464 | NA | Si |
| 51,169 | 2,014 | 81ab2481a76df0933bf153220a6a5e9e | LIRE2**042013 | 2,013 | 2013-10-04 | 2014-03-03 | PG-PAI | Programa Población General | 412 | NA | Si |
| 81,288 | 2,015 | 82fbe76a90e5ec2d518f1f4b01ed76cc | DATA1**092015 | 2,015 | 2015-09-08 | 2016-01-21 | PG-PAI | Programa Población General | 619 | NA | Si |
| 79,903 | 2,015 | 84fca3988c6479194fd5709bf61e0139 | MIVI1**052015 | 2,015 | 2015-08-03 | 2015-10-17 | PG-PAI | Programa Población General | 174 | NA | Si |
| 66,136 | 2,015 | 859278a1dab22f623200a8fb82cc88eb | JORO1**112013 | 2,013 | 2013-12-05 | 2015-02-05 | PG-PAI | Programa Población General | 207 | NA | Si |
| 67,168 | 2,015 | 86ee53ec9a2b925edcb11152db6ca7e2 | CAVE1**012014 | 2,014 | 2014-05-26 | 2015-08-31 | PG-PAI | Programa Población General | 185 | NA | Si |
| 1,359 | 2,010 | 8adcaecd02f133ab38eedf0c0036d9ff | ELMO2**091909 | 1,909 | 2008-07-31 | 2010-01-29 | PG-PAB | Programa Población General | 138 | NA | Si |
| 90,101 | 2,016 | 8ce26be094be2c7073d8e0d61084747c | ANNE1**102015 | 2,015 | 2015-10-13 | 2016-05-18 | PG-PAB | Programa Población General | 290 | NA | Si |
| 125,800 | 2,018 | 8d2dfe24c7a24d541a13b4e82b82eede | HEAV1**112014 | 2,014 | 2014-08-07 | 2018-05-25 | PG-PAI | Programa Población General | 155 | NA | Si |
| 69,801 | 2,015 | 8f0cf60837bebad31c04b86f96f2fc23 | EMFR1**062014 | 2,014 | 2014-10-28 | 2015-07-01 | PG-PAI | Programa Población General | 291 | NA | Si |
| 85,602 | 2,016 | 8f4f8d015d8c33c3f827fda19865c027 | JUSA1**012014 | 2,014 | 2014-03-10 | 2016-06-30 | PG-PAI | Programa Población General | 353 | NA | Si |
| 89,724 | 2,016 | 8f7e43aaea738d130d9cc03b55666295 | VESO2**082015 | 2,015 | 2015-09-08 | 2016-01-05 | M-PAI | Programa Específico Mujeres | 331 | NA | Si |
| 80,158 | 2,015 | 92c8a023b443094c1c8a30e73c8d4d49 | ANIB1**032015 | 2,015 | 2015-08-18 | 2015-09-30 | PG-PAI | Programa Población General | 205 | NA | Si |
| 90,907 | 2,016 | 92d3465484cf355dc4e3127ebcf59720 | CRAL1**112015 | 2,015 | 2015-09-07 | 2016-03-29 | PG-PAI | Programa Población General | 260 | NA | No |
| 85,877 | 2,016 | 92f2857a6e2b45b22cc31d704b77f856 | MAAR2**062014 | 2,014 | 2014-09-15 | 2016-01-29 | PG-PAI | Programa Población General | 445 | NA | Si |
| 2,768 | 2,010 | 92f7992b962d02a791ff9e2829ff9bb4 | MAES1**051907 | 1,907 | 2007-05-16 | 2010-07-01 | PG-PAI | Programa Población General | 119 | NA | Si |
| 56,731 | 2,014 | 9354d0a7e62f4e1770b183e1a47fa950 | ALAD1**042014 | 2,014 | 2014-04-01 | 2014-04-09 | PG-PAI | Programa Población General | 164 | NA | Si |
| 69,826 | 2,015 | 93d59d2ed7fbf4af1de869edfc63fc65 | NANU2**112014 | 2,014 | 2014-11-04 | 2015-03-30 | PG-PAB | Programa Población General | 255 | NA | Si |
| 51,835 | 2,014 | 94402c3f517402391dfbd454223559af | EZSU1**062009 | 2,009 | 2013-11-22 | 2014-03-18 | PG-PAB | Programa Población General | 146 | NA | Si |
| 52,929 | 2,014 | 94bdff9b0c5c651015c78f48fc56f831 | CIGF1**122013 | 2,013 | 2014-11-04 | 2016-08-04 | Otro | Otro | NA | NA | No |
| 86,356 | 2,016 | 94dc2d67662256121c25b1f22865d877 | LUPE1**022014 | 2,014 | 2015-01-02 | 2016-12-30 | PG-PAB | Programa Población General | 246 | NA | Si |
| 69,296 | 2,015 | 950e158fe666407f88c577bd7615dfd2 | DAMU2**092014 | 2,014 | 2014-10-21 | 2015-07-10 | M-PAI | Programa Específico Mujeres | 438 | NA | Si |
| 84,891 | 2,015 | 95da9c51b0a9acafac6c4da28a96d3fa | GURI1**112015 | 2,015 | 2015-12-01 | 2016-01-29 | PG-PAB | Programa Población General | 270 | NA | Si |
| 88,024 | 2,016 | 9630831102f1ea74e3bd52359c335933 | PAVI1**062015 | 2,015 | 2015-06-08 | 2016-12-20 | PG-PAI | Programa Población General | 301 | NA | Si |
| 66,790 | 2,015 | 971bb94af6c2953cfa47d01d40c25a3b | SETA1**082013 | 2,013 | 2014-04-15 | 2015-09-15 | PG-PAB | Programa Población General | 415 | NA | Si |
| 62,450 | 2,014 | 975241fd05550f886bc9ff823e488587 | YABE1**072014 | 2,014 | 2014-09-01 | 2014-10-31 | PG-PAB | Programa Población General | 141 | NA | Si |
| 68,693 | 2,015 | 9816684f0ad904d3a326d6f567e6dba9 | EDSA1**092014 | 2,014 | 2014-09-11 | 2015-06-30 | PG-PAI | Programa Población General | 557 | NA | Si |
| 80,293 | 2,015 | 98a06fe9e54997548d1a404274857dd4 | LULI1**042015 | 2,015 | 2015-05-20 | 2015-12-07 | PG-PAI | Programa Población General | 130 | NA | Si |
| 436 | 2,010 | 9b66f589b973bca1142d7e9995e5c2d0 | WLMO1**081909 | 1,909 | 2009-08-24 | 2010-05-31 | PG-PAI | Programa Población General | 156 | NA | Si |
| 57,513 | 2,014 | 9b802c0391a72f833e0b7f6b4fa9f429 | NEPI1**052014 | 2,014 | 2014-05-15 | 2014-08-08 | PG-PAB | Programa Población General | 505 | NA | Si |
| 69,711 | 2,015 | 9b9700657d2d1f743c15748be8635987 | ROCA1**072014 | 2,014 | 2014-11-10 | 2015-03-05 | PG-PAI | Programa Población General | 225 | NA | Si |
| 90,474 | 2,016 | 9be202d4f43568a978050002a518f718 | UBSA2**092015 | 2,015 | 2015-09-01 | 2016-07-22 | PG-PAB | Programa Población General | 270 | NA | Si |
| 89,525 | 2,016 | 9d1d56fca162aa59f99988e6cafcc296 | JOAR1**092015 | 2,015 | 2015-09-29 | 2016-07-05 | PG-PAI | Programa Población General | 619 | NA | No |
| 86,750 | 2,016 | 9eedcdd8ada0ac46c0457bd4c55f9dea | JUGU1**022015 | 2,015 | 2015-02-11 | 2016-07-29 | PG-PAB | Programa Población General | 641 | NA | Si |
| 77,309 | 2,015 | a0c21e91c5df0785a42f2800657231db | RASE1**052015 | 2,015 | 2015-06-01 | 2015-10-26 | PG-PAI | Programa Población General | 620 | NA | Si |
| 57,337 | 2,014 | a13505adffa3137e32ef126953465083 | JOPA1**022014 | 2,014 | 2014-02-25 | 2014-10-23 | PG-PAI | Programa Población General | 502 | NA | Si |
| 88,716 | 2,016 | a254177942d2718cb7382ba4d0b5464e | PAZA2**082015 | 2,015 | 2015-08-19 | 2016-03-09 | PG-PAB | Programa Población General | 316 | NA | Si |
| 57,826 | 2,014 | a3d1c81f683127b3f98a6dc8ee0aea95 | ANME1**042014 | 2,014 | 2014-05-27 | 2014-07-30 | PG-PAI | Programa Población General | 556 | NA | Si |
| 91,059 | 2,016 | a537681987ddbe972f0f090b10a699c3 | RESA1**102015 | 2,015 | 2015-10-14 | 2016-04-20 | PG-PAI | Programa Población General | 105 | NA | Si |
| 59,851 | 2,014 | a53efaf4077a6d170947d8e3cbb8617a | JOZU1**032014 | 2,014 | 2014-07-01 | 2014-11-12 | PG-PAI | Programa Población General | 156 | NA | Si |
| 61,398 | 2,014 | a7b45b17accde476fc79803b461c48a3 | HURA1**032014 | 2,014 | 2014-08-28 | 2014-12-19 | PG-PAB | Programa Población General | 467 | NA | Si |
| 46,615 | 2,013 | a7c467c7d652f1861fd9ac231821ab24 | ADMO2**112013 | 2,013 | 2013-11-04 | 2014-01-02 | PG-PAB | Programa Población General | 206 | NA | Si |
| 54,563 | 2,014 | a8f536730514fc652fb2b0cba216d73a | SUBR2**022014 | 2,014 | 2014-01-20 | 2014-11-21 | PG-PAI | Programa Población General | 153 | NA | Si |
| 70,012 | 2,015 | aa55d971c98f1d169262f93fbeb6860c | HEMU1**112014 | 2,014 | 2014-11-26 | 2015-02-13 | PG-PR | Programa Población General | 358 | NA | Si |
| 44,778 | 2,013 | aca1dbae04cca9acea253b7b3d4db474 | JASO1**082013 | 2,013 | 2013-09-01 | 2013-11-01 | PG-PR | Programa Población General | 179 | NA | Si |
| 125,778 | 2,018 | ad16844e62fd0a0db5ddd59ccffccbf6 | SUUB2**102013 | 2,013 | 2013-10-03 | 2018-03-27 | PG-PAI | Programa Población General | 299 | NA | Si |
| 88,178 | 2,016 | add12d3ddf9271f589c627bbc79c4579 | MICA1**072015 | 2,015 | 2015-07-20 | 2016-04-18 | PG-PR | Programa Población General | 644 | NA | Si |
| 47,228 | 2,013 | add23dc42ee2d765da142f8f554e98c5 | ANPA1**102013 | 2,013 | 2013-12-12 | 2014-05-29 | PG-PAI | Programa Población General | 292 | NA | Si |
| 68,930 | 2,015 | af102bfd448a47b7624e89ce6df6acec | ROCO1**062014 | 2,014 | 2014-09-01 | 2015-05-08 | PG-PAI | Programa Población General | 115 | NA | Si |
| 87,410 | 2,016 | afa9a46f43298983918d3f5a9d821786 | ALBR1**052015 | 2,015 | 2015-05-19 | 2016-12-14 | PG-PAB | Programa Población General | 255 | NA | Si |
| 77,067 | 2,015 | affbdb3a781e3be1a5aa20966d2cc696 | DAVE1**052015 | 2,015 | 2015-05-27 | 2015-07-13 | PG-PR | Programa Población General | 163 | NA | Si |
| 86,140 | 2,016 | b1c056a8bab379d545d8e82621f329f9 | ANAL2**022014 | 2,014 | 2014-12-10 | 2016-06-20 | PG-PAI | Programa Población General | 299 | NA | Si |
| 56,061 | 2,014 | b48858a7082e55ba898bc1905399513c | YESA1**032014 | 2,014 | 2014-03-28 | 2014-05-23 | PG-PAI | Programa Población General | 556 | NA | Si |
| 57,604 | 2,014 | bb1e3ec5ad90ed912270b85c22bc22dc | MASA1**022014 | 2,014 | 2014-03-10 | 2014-11-07 | PG-PR | Programa Población General | 266 | NA | Si |
| 79,701 | 2,015 | bb6fe40dbae548db255b939ec75d56eb | HUFL1**012015 | 2,015 | 2015-07-30 | 2016-02-01 | PG-PAI | Programa Población General | 139 | NA | Si |
| 90,239 | 2,016 | bbad2b97c37995c0bd0acc4d7086cd76 | FRCA1**012015 | 2,015 | 2015-10-29 | 2016-07-18 | PG-PAB | Programa Población General | 113 | NA | Si |
| 61,779 | 2,014 | bd4ddaf7e28aa380f777efe2528a5ffe | VIGA1**092014 | 2,014 | 2014-09-01 | 2015-01-02 | PG-PAI | Programa Población General | 561 | NA | Si |
| 68,727 | 2,015 | bda266c70897a4a4d4c34b9286b3ac26 | HEFA1**072014 | 2,014 | 2014-08-29 | 2015-01-28 | PG-PAI | Programa Población General | 428 | NA | Si |
| 55,549 | 2,014 | bda338a09bf4112f34c232b78571e081 | ANPI1**032014 | 2,014 | 2014-03-17 | 2014-07-01 | PG-PAI | Programa Población General | 501 | NA | Si |
| 57,347 | 2,014 | bdf80f280bdd5ea5a2467e595550bb16 | FRSA2**042014 | 2,014 | 2014-04-30 | 2014-06-30 | PG-PAI | Programa Población General | 225 | NA | Si |
| 61,502 | 2,014 | be3bcadab217fd812c6b3d88ddbaee09 | HECO1**072014 | 2,014 | 2014-07-29 | 2014-10-29 | PG-PAB | Programa Población General | 290 | NA | Si |
| 54,559 | 2,014 | be52751573bf2adb0360879c30b371ef | MAGU1**122013 | 2,013 | 2014-02-05 | 2014-08-29 | PG-PAB | Programa Población General | 153 | NA | No |
| 74,175 | 2,015 | c1680c07dc59050febafc3d2fd20401c | SEDU1**022015 | 2,015 | 2015-03-23 | 2015-07-01 | PG-PAB | Programa Población General | 633 | NA | Si |
| 87,205 | 2,016 | c1a8b024d7bcd74211fb7bf8a3d2d152 | ORAR2**022015 | 2,015 | 2015-02-18 | 2016-08-01 | PG-PAI | Programa Población General | 366 | NA | Si |
| 60,595 | 2,014 | c608039402f2ad468835c3ab9d12e677 | CAAL1**072014 | 2,014 | 2014-07-21 | 2014-09-01 | PG-PAI | Programa Población General | 246 | NA | Si |
| 79,988 | 2,015 | c667fcdcaa8983d2d0d3e805c762543a | JUHE1**082015 | 2,015 | 2015-08-04 | 2015-12-17 | PG-PAI | Programa Población General | 619 | NA | Si |
| 65,866 | 2,015 | c67c0b06dc6a2fc010c201d7b2455731 | PARO2**092013 | 2,013 | 2013-09-02 | 2015-05-07 | PG-PAB | Programa Población General | 218 | NA | Si |
| 58,523 | 2,014 | c6a7be0fcf4c6f66221e329104e48883 | PEBR1**052014 | 2,014 | 2014-06-06 | 2015-01-30 | PG-PAI | Programa Población General | 418 | NA | Si |
| 47,492 | 2,013 | c7290f91f32f5b89f3d1824972859c1f | MOAR2**122013 | 2,013 | 2013-12-17 | 2014-01-07 | M-PR | Programa Específico Mujeres | 189 | NA | Si |
| 87,738 | 2,016 | c9c50b35412a1b9a7a1ff05c6291897d | CAGO2**022015 | 2,015 | 2015-06-08 | 2016-02-02 | M-PAI | Programa Específico Mujeres | 290 | NA | Si |
| 44,637 | 2,013 | cd0e56e0fcd787b52022747c37377a47 | JOGA1**092013 | 2,013 | 2013-09-30 | 2013-11-04 | PG-PAI | Programa Población General | 194 | NA | Si |
| 54,905 | 2,014 | cee383e8075524a15a3e243382edbc47 | SEUR1**022014 | 2,014 | 2014-02-18 | 2014-03-01 | PG-PAI | Programa Población General | 366 | NA | Si |
| 87,302 | 2,016 | cf1c08352647546c64c5e9db55c3c7d9 | JOLU1**052015 | 2,015 | 2015-05-14 | 2016-05-13 | PG-PAB | Programa Población General | 238 | NA | No |
| 52,904 | 2,014 | cfb8e2fc00adc59d9a2afdf5334d80a9 | JOUR1**122013 | 2,013 | 2013-12-03 | 2014-05-30 | PG-PAI | Programa Población General | 246 | NA | Si |
| 59,768 | 2,014 | d0096113be91f1ce643534aa8c0704b6 | JARO1**022014 | 2,014 | 2014-07-02 | 2014-11-24 | PG-PAB | Programa Población General | 239 | NA | No |
| 87,545 | 2,016 | d062b037a6143d839d0cade6d0e78880 | DIOR1**092014 | 2,014 | 2015-05-04 | 2016-05-03 | Otro | Otro | 291 | NA | No |
| 92,276 | 2,016 | d196f8ff1ac48677345bccd7c76b7fea | NICO2**102015 | 2,015 | 2015-12-21 | 2016-03-01 | PG-PAB | Programa Población General | 253 | NA | Si |
| 52,050 | 2,014 | d2111418ab78f0a344deaa3a897f08bd | JOCA1**112013 | 2,013 | 2013-11-21 | 2014-06-16 | PG-PAI | Programa Población General | 428 | NA | Si |
| 70,258 | 2,015 | d36b9cd8f1aa0a07ad209b0006af1465 | PALO1**072014 | 2,014 | 2014-11-13 | 2015-06-15 | PG-PAI | Programa Población General | 425 | NA | Si |
| 69,013 | 2,015 | d3ff7adfe0d73fe255e7eaeae652d093 | HUPO1**092014 | 2,014 | 2014-10-01 | 2015-12-31 | PG-PAI | Programa Población General | 451 | NA | Si |
| 81,553 | 2,015 | d4e29a163ddfed590de7ff27125a2a7e | JOSO1**092015 | 2,015 | 2015-09-10 | 2015-11-11 | PG-PAB | Programa Población General | 632 | NA | Si |
| 69,958 | 2,015 | d5952e9b80d0713beb9024174ab0f727 | JOAL1**012014 | 2,014 | 2014-11-05 | 2015-06-25 | PG-PAB | Programa Población General | 464 | NA | Si |
| 88,770 | 2,016 | d5f73b599c69578e2436b8292eaa8cf2 | MAAS2**062015 | 2,015 | 2015-08-01 | 2016-12-28 | PG-PAB | Programa Población General | 301 | NA | Si |
| 89,091 | 2,016 | d83f8f183a061c8664e76b2a4e629a8e | CRPE1**072015 | 2,015 | 2015-08-17 | 2016-04-18 | PG-PAI | Programa Población General | 337 | NA | Si |
| 89,744 | 2,016 | d98d3ae82355931d0493ebd249120d23 | GUSA1**062015 | 2,015 | 2015-09-28 | 2016-01-29 | PG-PAB | Programa Población General | 192 | NA | Si |
| 69,347 | 2,015 | d9c6875344fd216fe006cc26f6ab3554 | CRRO1**072014 | 2,014 | 2014-10-01 | 2015-05-01 | PG-PAB | Programa Población General | 156 | NA | Si |
| 85,252 | 2,015 | dc734b38de361955000b96e6253d148a | DAMO2**062015 | 2,015 | 2015-12-09 | 2015-12-10 | M-PR | Programa Específico Mujeres | 165 | NA | Si |
| 87,412 | 2,016 | dc8d938d47360d6e85b4c040a00696eb | LUIB1**042015 | 2,015 | 2015-03-30 | 2016-10-01 | PG-PAB | Programa Población General | 616 | NA | Si |
| 69,628 | 2,015 | dcc35e6bacea2093d845764c4541f5fd | JOAN1**072014 | 2,014 | 2014-11-05 | 2015-11-12 | PG-PAB | Programa Población General | 503 | NA | Si |
| 78,731 | 2,015 | dd4b4ceef916a24a277300e57d15847a | PEME1**042015 | 2,015 | 2015-07-08 | 2015-08-07 | PG-PAB | Programa Población General | 627 | NA | Si |
| 64,540 | 2,014 | e13c8e73574fa1097e9ba61c472a8784 | HEMO1**042014 | 2,014 | 2014-11-24 | 2014-11-25 | CALLE | Programa Calles | NA | NA | No |
| 56,435 | 2,014 | e2b3a2ebe811d7ee66df5aa536a3695f | JOGA1**042014 | 2,014 | 2014-04-09 | 2014-05-28 | PG-PAI | Programa Población General | 336 | NA | Si |
| 56,263 | 2,014 | e2cf471bd0e20f2bedebcb7606d0cacb | YEVA1**032014 | 2,014 | 2014-03-21 | 2014-08-01 | PG-PAI | Programa Población General | 246 | NA | Si |
| 72,176 | 2,015 | e60223e49c88aa125912e44ae1405982 | RACA1**122014 | 2,014 | 2014-12-01 | 2015-05-27 | PG-PAI | Programa Población General | 149 | NA | Si |
| 105,599 | 2,017 | e89eb1528cbb255f7a94ade170a93768 | FRJA1**042015 | 2,015 | 2015-04-20 | 2017-03-31 | PG-PAB | Programa Población General | 464 | NA | Si |
| 63,518 | 2,014 | e8d4e7ec9067faee7252e3421fc131fd | PALL1**042014 | 2,014 | 2014-10-13 | 2014-11-28 | Otro | Programa Población General | 141 | NA | No |
| 64,867 | 2,014 | e9c1c6248f996ae3f578602d9953ca13 | ISOR1**092014 | 2,014 | 2014-12-12 | 2015-01-08 | PG-PAI | Programa Población General | 140 | NA | Si |
| 77,086 | 2,015 | eb7178edd29bc7938a16af25e718aa06 | PERO1**052015 | 2,015 | 2015-05-04 | 2015-06-30 | PG-PAI | Programa Población General | 246 | NA | Si |
| 67,778 | 2,015 | ebd792c25167912fa4ba477282968198 | VIGA1**032014 | 2,014 | 2014-07-10 | 2015-08-03 | PG-PAB | Programa Población General | 418 | NA | Si |
| 74,513 | 2,015 | ee1416f105555711f905f8bb38bbbc85 | ANZA1**032015 | 2,015 | 2015-03-04 | 2015-11-02 | PG-PAB | Programa Población General | 290 | NA | Si |
| 51,698 | 2,014 | eee34348656d96521f9562193c8a3007 | CAGU2**012013 | 2,013 | 2013-11-05 | 2014-02-03 | PG-PAB | Programa Población General | 206 | NA | No |
| 61,634 | 2,014 | ef00f137abde81b272a2a803ff3b5353 | FRCA1**072014 | 2,014 | 2014-08-01 | 2015-01-02 | PG-PAB | Programa Población General | 429 | NA | Si |
| 90,260 | 2,016 | f02435c816333b972c7e14ec4cf3a6ad | LUPA1**012015 | 2,015 | 2015-10-29 | 2016-09-28 | PG-PAB | Programa Población General | 113 | NA | Si |
| 53,508 | 2,014 | f0a981419be2548644ba07dcafe0c4a3 | LUJO1**092013 | 2,013 | 2014-01-27 | 2014-05-30 | PG-PAI | Programa Población General | 327 | NA | Si |
| 51,219 | 2,014 | f21bbc9bf555d4e829f3db65e56b510d | CABA1**082013 | 2,013 | 2013-10-17 | 2014-05-26 | PG-PAI | Programa Población General | 207 | NA | Si |
| 71,052 | 2,015 | f3200c510b74bf2c038243cfa11bb511 | BERU2**062014 | 2,014 | 2014-12-29 | 2015-06-08 | PG-PAI | Programa Población General | 225 | NA | Si |
| 56,069 | 2,014 | f3612fadeb097f6554c56683d7b3e5f2 | LEAS2**032014 | 2,014 | 2014-03-31 | 2014-06-26 | M-PR | Programa Específico Mujeres | 197 | NA | Si |
| 59,459 | 2,014 | f52d7d44debd140b3cd42af6e92d80f9 | EXMA1**062014 | 2,014 | 2014-06-20 | 2014-12-30 | PG-PAI | Programa Población General | 246 | NA | Si |
| 67,848 | 2,015 | f60d6664ff94ad84d3f6fa5857df8554 | LUVE1**062014 | 2,014 | 2014-07-02 | 2015-02-25 | PG-PAI | Programa Población General | 118 | NA | Si |
| 91,964 | 2,016 | f9408fbf7e7f69d88f494c002795d85c | ROGO1**092015 | 2,015 | 2015-12-16 | 2016-06-07 | PG-PAI | Programa Población General | 151 | NA | Si |
| 66,526 | 2,015 | faeef8906f3656cf2fd1c20a6e073f3f | ERQU2**032014 | 2,014 | 2014-03-10 | 2015-07-10 | PG-PAB | Programa Población General | 138 | NA | Si |
| 54,560 | 2,014 | fba602106f2a581a65a4db020e013642 | NOES2**112013 | 2,013 | 2014-02-06 | 2014-08-29 | PG-PAI | Programa Población General | 153 | NA | Si |
| 92,164 | 2,016 | fbd1d4d518cf49e6d79dba77657d10f9 | FIGA2**122015 | 2,015 | 2015-12-30 | 2016-12-26 | PG-PAI | Programa Población General | 433 | NA | Si |
| 61,288 | 2,014 | fc49568e7fd2ffdfb2a3cef77af89459 | ISMA1**082014 | 2,014 | 2014-08-05 | 2014-09-02 | PG-PAI | Programa Población General | 264 | NA | Si |
| 55,302 | 2,014 | fdf286edf7d8f4bd5cd61f88d7e4f89d | REAE1**032014 | 2,014 | 2014-03-06 | 2014-04-01 | PG-PAB | Programa Población General | 204 | NA | Si |
Table 10 shows users that do not present any other valid age throughout different cases. Is it possible that some of these users could be present in another SENDA dataset with a valid age? We checked into the Treatment Outcomes Profile dataset (more information on this dataset is available here).
CONS_TOP_df_dup_age <- dplyr::select(CONS_TOP, HASH_KEY, ID, Sexo, Edad)%>%
dplyr::filter(Edad>=18, Edad<=90) %>% #%>% #dim rowa 162449, 4 columns
dplyr::mutate(id_mod=sub("(.{5}).", "\\1*",ID)) %>%
dplyr::mutate(id_mod=sub("(.{6}).", "\\1*",id_mod)) %>%
dplyr::mutate(id=ID) %>%
dplyr::filter(!duplicated(HASH_KEY)) #dplyr::distinct(HASH_KEY) %>% nrow() #37124 rows, 5 columns
#merge datasets w CONS C1
replaceable<- CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(is.na(Edad)) %>%
arrange(HASH_KEY) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad, SENDA) %>%
dplyr::left_join(CONS_TOP_df_dup_age, by="HASH_KEY", suffix= c(".C1",".TOP")) %>%
dplyr::filter(!is.na(id_mod.TOP))
CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(is.na(Edad)) %>%
arrange(HASH_KEY) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad, SENDA) %>%
dplyr::left_join(CONS_TOP_df_dup_age, by="HASH_KEY", suffix= c(".C1",".TOP")) %>%
dplyr::filter(!is.na(id_mod.TOP)) %>%
dplyr::select(row, ano_bd, HASH_KEY, id_mod.C1, ano_nac, ano_bd,fech_ing, fech_egres,tipo_de_plan, tipo_de_programa, ID.centro, Edad.C1, Edad.TOP,SENDA, id_mod.TOP) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 11. Replaced Ages from TOP dataset",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 9) %>%
kableExtra::scroll_box(width = "100%", height = "175px")| row | ano_bd | HASH_KEY | id_mod.C1 | ano_nac | fech_ing | fech_egres | tipo_de_plan | tipo_de_programa | ID.centro | Edad.C1 | Edad.TOP | SENDA | id_mod.TOP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 90,298 | 2,016 | 17427b747a8e5d8ecdcdec6a781a277b | MAZU1**102015 | 2,015 | 2015-10-27 | 2016-04-01 | PG-PR | Programa Población General | 496 | NA | 60 | Si | MAZU1**031959 |
| 76,629 | 2,015 | 636046ed13f419997e2c05bfd3ac6ae6 | MOAR1**012015 | 2,015 | 2015-04-23 | 2015-07-01 | PG-PAI | Programa Población General | 443 | NA | 31 | Si | MOAR1**011988 |
#Join datasets
CONS_TOP_df_dup_age <- dplyr::select(CONS_TOP, HASH_KEY, ID, Sexo, Edad)%>%
dplyr::filter(Edad>=18, Edad<=90) %>% #%>% #dim rowa 162449, 4 columns
dplyr::mutate(id_mod=sub("(.{5}).", "\\1*",ID)) %>%
dplyr::mutate(id_mod=sub("(.{6}).", "\\1*",id_mod)) %>%
dplyr::mutate(id=ID) %>%
dplyr::filter(!duplicated(HASH_KEY)) %>%
dplyr::select(-ID)
#CONS_C1_df_dup_ENE_2020_prev3 %>% group_by(Edad) %>% summarise() %>% View() #son puros NA's
dplyr::left_join(CONS_C1_df_dup_ENE_2020_prev3, CONS_TOP_df_dup_age, by="HASH_KEY", suffix= c("",".TOP")) %>%
#dplyr::mutate(Edad_error=Edad) %>%
dplyr::mutate(OBS=case_when((is.na(Edad) & !is.na(id.TOP))~paste0(OBS,";","1.5. Replaced invalid ages with TOP information"),
TRUE ~ OBS))%>%
dplyr::mutate(id= ifelse(is.na(Edad) & !is.na(id.TOP),id.TOP, id)) %>%
dplyr::mutate(id_mod=ifelse(is.na(Edad) & !is.na(id_mod.TOP),id_mod.TOP,id_mod)) %>%
dplyr::mutate(Edad= ifelse(is.na(Edad) & !is.na(Edad.TOP),Edad.TOP, Edad)) %>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(stringi::stri_sub(id,-8,-1),"dmY")) %>%
#dplyr::mutate(Edad_fech_nac= lubridate::time_length(difftime(as.Date("2019-11-13"),as.Date(fech_nac)),"years")) %>%
dplyr::mutate(fech_nac=replace(fech_nac, is.na(Edad), NA)) %>% #LA EDAD ESTA MALA PORQUE LA FECHA DE NAC ESTÁ MALA
dplyr::mutate(ano_nac=replace(ano_nac, is.na(Edad), NA)) %>% #LA EDAD ESTA MALA PORQUE LA FECHA DE NAC ESTÁ MALA
dplyr::select(-id_mod.TOP, -duplicated_HASH_date, -Edad.y, -Sexo.TOP, -Edad.TOP, -id.TOP) %>%
#dplyr::group_by(Edad) %>% summarise(n=n()) %>% View()
as.data.frame() %>%
assign("CONS_C1_df_dup_ENE_2020_prev4",., envir = .GlobalEnv)
#PARA VER CÓMO SE COMPORTA CON IS.NA
#CONS_C1_df_dup_ENE_2020_prev4 %>% dplyr::filter(is.na(Edad_error)) %>% dplyr::filter(!is.na(ID))
#CONS_C1_df_dup_ENE_2020 %>% dplyr::select(HASH_KEY, ano_bd, id, fech_ing, Edad_al_ing, fech_nac, Edad) %>%
#dplyr::mutate(ano=as.numeric(fech_nac)/365.25) %>% dplyr::filter(is.na(Edad)) %>% View()
#CONS_C1_df_dup_ENE_2020_prev4 %>%
#dplyr::filter(HASH_KEY=="17427b747a8e5d8ecdcdec6a781a277b"|HASH_KEY=="636046ed13f419997e2c05bfd3ac6ae6") %>%
#print()
#rows 57716 9972 6736, están perdidos en las bases de datos.As can be seen in Table 11, only 2 cases could replace invalid ages from valid entries in the TOP dataset.
Still, to group cases of the same user within the same block by age, we must pay attention to all the HASHs that have more than one age. Among them, there are 20,156 different HASHs with more than one age. Possibly, some datasets were retrieved at different dates than others from the SENDA system.
#mÁS DE UNA EDAD POR HASH
CONS_C1_df_dup_ENE_2020_prev4 %>% dplyr::mutate(concat_hash_edad=paste0(HASH_KEY,"_",Edad)) %>%
dplyr::distinct(concat_hash_edad, .keep_all = TRUE) %>%
#once here, n° of cases has been replaced by distinct or unique combinations of age and HASH keys.
dplyr::filter(duplicated(HASH_KEY)) %>% dplyr::arrange(HASH_KEY) %>% #filter cases in which there is more than one age,
#despite there is differents combinations of HASH and age, and then arrange age. This is possible only if a different HASH-Key contains more than one age or viceversa.
#take distincts ages (exclude duplicated repeated IDs)
# dplyr::distinct(HASH_KEY) %>% nrow()
dplyr::select(HASH_KEY) %>%
assign("more_one_age_per_hash",., envir = .GlobalEnv)
# Differently put, take the distints HASHs per HASH-Key & ages, of the cases in which there are different combinations
# of ages and HASHs, and in each subgroup exists duplicated HASHs.
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(more_one_age_per_hash)))))) %>% # Select HASHs of cited cases
dplyr::arrange(HASH_KEY) %>% #ordeno por ids
dplyr::select(row, ano_bd, id_mod, fech_nac, Edad, HASH_KEY, hash_rut_completo, sexo, fech_ing, fech_egres, tipo_de_plan, SENDA)%>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 12. HASHs with more than one Age",
align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "375px")| row | ano_bd | id_mod | fech_nac | Edad | HASH_KEY | hash_rut_completo | sexo | fech_ing | fech_egres | tipo_de_plan | SENDA |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 157,456 | 2,019 | RUVO1**111977 | 1977-11-12 | 42 | 00012586ea3036b7a18093c396847a87 | NA | Hombre | 2019-05-03 | NA | PG-PAI | Si |
| 53,084 | 2,014 | RUVO1**111977 | 1977-11-12 | 41 | 00012586ea3036b7a18093c396847a87 | Hombre | 2014-01-08 | 2014-11-03 | PG-PR | No | |
| 34,105 | 2,013 | MITA1**121983 | 1983-12-05 | 35 | 002c979e254773f17812d9bff13996dc | Hombre | 2012-10-11 | 2013-01-04 | PG-PAB | Si | |
| 4,271 | 2,010 | MITA1**021983 | 1983-02-05 | 36 | 002c979e254773f17812d9bff13996dc | Hombre | 2010-03-18 | 2010-05-31 | PG-PAI | Si | |
| 146,010 | 2,019 | JOAG1**021984 | 1984-02-14 | 35 | 005504027f80dbaeb0fa63522b984839 | NA | Hombre | 2017-07-05 | 2019-04-08 | PG-PAI | Si |
| 86,734 | 2,016 | JOAG1**021982 | 1982-02-14 | 37 | 005504027f80dbaeb0fa63522b984839 | Hombre | 2015-03-25 | 2016-07-29 | PG-PAI | Si | |
| 105,606 | 2,017 | MARA1**031951 | 1951-03-22 | 68 | 009b5ccb6950cb7f0ae6c8161bbbf14a | NA | Hombre | 2015-04-01 | 2017-01-30 | PG-PAI | Si |
| 20,748 | 2,012 | MARA1**111951 | 1951-11-22 | 67 | 009b5ccb6950cb7f0ae6c8161bbbf14a | Hombre | 2009-12-07 | 2012-02-14 | PG-PAB | Si | |
| 77,817 | 2,015 | PARA2**111974 | 1974-11-18 | 44 | 00a8e1377935f1639a28faa9c11ee03a | Mujer | 2015-06-23 | 2015-07-30 | M-PAI | Si | |
| 24,166 | 2,012 | PARA2**101974 | 1974-10-18 | 45 | 00a8e1377935f1639a28faa9c11ee03a | Mujer | 2012-01-13 | 2012-07-25 | M-PAI | Si | |
| 19,108 | 2,011 | PARA2**101974 | 1974-10-18 | 45 | 00a8e1377935f1639a28faa9c11ee03a | Mujer | 2011-10-17 | 2012-01-11 | M-PR | Si | |
| 116,880 | 2,017 | DACA1**121991 | 1991-12-15 | 27 | 00df6f1071220f378b5532eaa7e072c8 | NA | Hombre | 2017-05-02 | 2017-08-01 | PG-PAI | Si |
| 104,112 | 2,016 | DACA1**091991 | 1991-09-15 | 28 | 00df6f1071220f378b5532eaa7e072c8 | Hombre | 2016-11-23 | 2016-12-06 | PG-PR | Si | |
| 77,987 | 2,015 | DACA1**101991 | 1991-10-24 | 28 | 00df6f1071220f378b5532eaa7e072c8 | Hombre | 2015-06-25 | 2015-09-07 | PG-PR | Si | |
| 70,651 | 2,015 | DACA1**121991 | 1991-12-15 | 27 | 00df6f1071220f378b5532eaa7e072c8 | Hombre | 2014-12-01 | 2015-03-02 | PG-PAI | Si | |
| 113,769 | 2,017 | HISE2**081981 | 1981-08-08 | 38 | 013d623e058e9ac946f2f21be239d9e4 | NA | Mujer | 2017-02-01 | 2017-08-31 | PG-PAI | Si |
| 105,162 | 2,016 | HISE2**111981 | 1981-11-08 | 37 | 013d623e058e9ac946f2f21be239d9e4 | Mujer | 2016-12-01 | 2016-12-30 | PG-PAI | Si | |
| 47,620 | 2,013 | SACA1**111983 | 1983-11-28 | 35 | 0163b15923259894c581346449f6303d | Hombre | 2013-12-18 | 2014-02-18 | PG-PAI | Si | |
| 17,428 | 2,011 | SACA1**071983 | 1983-07-28 | 36 | 0163b15923259894c581346449f6303d | Hombre | 2011-07-08 | 2011-07-25 | PG-PR | Si | |
| 15,032 | 2,011 | SACA1**111983 | 1983-11-28 | 35 | 0163b15923259894c581346449f6303d | Hombre | 2011-04-12 | 2011-06-01 | PG-PAI | No | |
| 6,402 | 2,010 | SACA1**111983 | 1983-11-28 | 35 | 0163b15923259894c581346449f6303d | Hombre | 2010-07-14 | 2010-10-04 | PG-PAI | No | |
| 2,201 | 2,010 | SACA1**111983 | 1983-11-28 | 35 | 0163b15923259894c581346449f6303d | Hombre | 2009-11-16 | 2010-01-11 | PG-PR | Si | |
| 6,996 | 2,010 | MAMO1**111971 | 1971-11-08 | 47 | 0163b15923259894c581346449f6303d | Hombre | 2008-10-20 | 2010-10-18 | PG-PAB | No | |
| 121,268 | 2,017 | GEMA1**061999 | 1999-06-30 | 20 | 016ffdf18efeffe5f0c9c78d547dc392 | NA | Hombre | 2017-08-30 | 2017-09-01 | PG-PR | Si |
| 59,896 | 2,014 | GEMA1**061996 | 1996-06-30 | 23 | 016ffdf18efeffe5f0c9c78d547dc392 | Hombre | 2014-06-13 | 2015-03-31 | PG-PAI | Si | |
| 96,959 | 2,016 | ROBU1**091983 | 1983-09-20 | 36 | 019e248f8d71486257ef01868492422f | Hombre | 2016-05-02 | 2016-09-23 | PG-PAI | Si | |
| 55,794 | 2,014 | ROBU1**091982 | 1982-09-13 | 37 | 019e248f8d71486257ef01868492422f | Hombre | 2014-02-13 | 2014-06-20 | PG-PAB | Si | |
| 143,208 | 2,018 | GUMA1**011981 | 1981-01-01 | 38 | 01aaeacb1401ea220fc636b0aa180f70 | NA | Hombre | 2018-10-04 | 2019-02-01 | PG-PAI | Si |
| 7,465 | 2,010 | GUMA1**011991 | 1991-01-01 | 28 | 01aaeacb1401ea220fc636b0aa180f70 | Hombre | 2010-07-29 | 2010-10-29 | PG-PAB | Si | |
| 120,797 | 2,017 | AL-D1**021995 | 1995-02-03 | 24 | 01b63123704cfd4510042c7131fcd2c8 | NA | Hombre | 2017-08-14 | 2017-08-26 | PG-PR | No |
| 85,449 | 2,016 | ALDE1**021994 | 1994-02-03 | 25 | 01b63123704cfd4510042c7131fcd2c8 | Hombre | 2013-08-01 | 2016-03-01 | PG-PAI | Si | |
| 32,459 | 2,013 | ALDE1**021975 | 1975-02-03 | 44 | 01b63123704cfd4510042c7131fcd2c8 | Hombre | 2012-01-11 | 2013-05-20 | PG-PAB | Si | |
| 69,703 | 2,015 | RIJA1**101972 | 1972-10-01 | 47 | 021637f379fd9c6ada0be1c400525da3 | Hombre | 2014-10-20 | 2015-01-29 | PG-PAI | Si | |
| 38,916 | 2,013 | RIJA1**101971 | 1971-10-01 | 48 | 021637f379fd9c6ada0be1c400525da3 | Hombre | 2013-04-05 | 2013-07-12 | PG-PAB | Si | |
| 136,868 | 2,018 | GESA2**071997 | 1997-07-24 | 22 | 0219164d3ed6440d9ef04e72b07fbc77 | NA | Mujer | 2018-04-23 | 2018-07-31 | PG-PAI | Si |
| 111,381 | 2,017 | GESA2**071996 | 1996-07-24 | 23 | 0219164d3ed6440d9ef04e72b07fbc77 | NA | Mujer | 2016-12-16 | 2017-11-02 | M-PAI | Si |
| 99,387 | 2,016 | GESA2**071996 | 1996-07-18 | 23 | 0219164d3ed6440d9ef04e72b07fbc77 | Mujer | 2016-07-01 | 2016-11-14 | M-PAI | Si | |
| 15,262 | 2,011 | CRIN1**051969 | 1969-05-17 | 50 | 021eb103a12001a6989026f4f3e78c47 | Hombre | 2011-02-23 | 2011-05-09 | PG-PR | Si | |
| 3,413 | 2,010 | CRIN1**051989 | 1989-05-17 | 30 | 021eb103a12001a6989026f4f3e78c47 | Hombre | 2010-01-11 | 2010-08-03 | PG-PR | Si | |
| 139,681 | 2,018 | FAGO1**051994 | 1994-05-27 | 25 | 026b50711b32927ca46bbb223a4e1c66 | NA | Hombre | 2018-07-13 | 2018-11-05 | PG-PAI | Si |
| 47,972 | 2,014 | FAGO1**051993 | 1993-05-27 | 26 | 026b50711b32927ca46bbb223a4e1c66 | Hombre | 2012-08-16 | 2014-02-06 | PG-PAI | Si | |
| 58,682 | 2,014 | PECA2**021994 | 1994-02-22 | 25 | 0278b423c68cb673a95672f75904e20f | Mujer | 2014-06-02 | 2014-08-18 | M-PR | Si | |
| 30,152 | 2,012 | MAPE2**021993 | 1993-02-22 | 26 | 0278b423c68cb673a95672f75904e20f | Mujer | 2012-09-05 | 2012-10-03 | M-PR | Si | |
| 29,147 | 2,012 | PECA2**021994 | 1994-02-22 | 25 | 0278b423c68cb673a95672f75904e20f | Mujer | 2012-07-09 | 2012-08-31 | M-PAI | Si | |
| 115,063 | 2,017 | CACA2**031988 | 1988-03-06 | 31 | 028958a1e1737e818020ad8235410a55 | NA | Mujer | 2017-03-10 | 2017-03-16 | M-PAI | Si |
| 93,973 | 2,016 | CACA2**031988 | 1988-03-06 | 31 | 028958a1e1737e818020ad8235410a55 | Mujer | 2016-02-01 | 2016-09-30 | M-PR | Si | |
| 79,234 | 2,015 | CACA2**031981 | 1981-03-06 | 38 | 028958a1e1737e818020ad8235410a55 | Mujer | 2015-07-15 | 2015-10-10 | M-PR | Si | |
| 110,829 | 2,017 | FE-A1**071956 | 1956-07-23 | 63 | 02c26e5bf61ac23fdc00214d3033dc08 | NA | Hombre | 2016-11-23 | 2017-07-06 | PG-PR | Si |
| 89,807 | 2,016 | FEAR1**071953 | 1953-07-23 | 66 | 02c26e5bf61ac23fdc00214d3033dc08 | Hombre | 2015-10-05 | 2016-03-31 | PG-PR | Si | |
| 106,295 | 2,017 | VIGA1**111989 | 1989-11-12 | 29 | 02dd43a5bbbff53406807fe544642eeb | NA | Hombre | 2016-01-07 | 2017-03-06 | PG-PAI | Si |
| 22,287 | 2,012 | VIGA2**011989 | 1989-01-12 | 30 | 02dd43a5bbbff53406807fe544642eeb | Mujer | 2011-09-22 | 2012-02-20 | PG-PAI | Si | |
| 112,712 | 2,017 | ALGA2**101982 | 1982-10-06 | 37 | 02e12d2d59289616b507ac77829281ac | NA | Mujer | 2017-01-18 | 2017-06-28 | M-PAI | Si |
| 100,864 | 2,016 | ALGA2**011983 | 1983-01-06 | 36 | 02e12d2d59289616b507ac77829281ac | Mujer | 2016-08-25 | 2016-12-09 | M-PR | Si | |
| 88,851 | 2,016 | ALGA2**011983 | 1983-01-06 | 36 | 02e12d2d59289616b507ac77829281ac | Mujer | 2015-08-21 | 2016-06-08 | M-PAI | Si | |
| 133,879 | 2,018 | ISRU1**121991 | 1991-12-27 | 27 | 02eb5a07cd60c9f762c1c95adb2100cd | NA | Hombre | 2018-02-20 | 2018-06-29 | PG-PR | Si |
| 24,467 | 2,012 | ISRU1**121992 | 1992-12-27 | 26 | 02eb5a07cd60c9f762c1c95adb2100cd | Hombre | 2012-01-09 | 2012-02-29 | PG-PR | Si | |
| 105,303 | 2,017 | MAUR1**031993 | 1993-03-11 | 26 | 02f7df4d04fbcc4f95ccc66df7b81b94 | NA | Hombre | 2012-03-12 | 2017-06-01 | PG-PAI | Si |
| 27,262 | 2,012 | MAUR1**031971 | 1971-03-11 | 48 | 02f7df4d04fbcc4f95ccc66df7b81b94 | Hombre | 2012-03-12 | 2012-10-10 | PG-PAB | Si | |
| 108,466 | 2,017 | DAJO1**061996 | 1996-06-03 | 23 | 034f98db8aa3fc88f9e469ac5b9acf50 | NA | Hombre | 2016-08-09 | 2017-08-03 | PG-PAB | Si |
| 89,338 | 2,016 | DAJO1**061977 | 1977-06-03 | 42 | 034f98db8aa3fc88f9e469ac5b9acf50 | Hombre | 2015-09-21 | 2016-08-02 | PG-PAB | Si | |
| 149,243 | 2,019 | CLLU2**031985 | 1985-03-21 | 34 | 035a0c3997064d8e7b552ab9d9a6b40b | NA | Mujer | 2018-08-03 | 2019-02-14 | PG-PAB | Si |
| 135,358 | 2,018 | CLLU2**031985 | 1985-03-21 | 34 | 035a0c3997064d8e7b552ab9d9a6b40b | NA | Mujer | 2018-01-29 | 2018-05-10 | PG-PAB | Si |
| 117,520 | 2,017 | CLLU2**031985 | 1985-03-21 | 34 | 035a0c3997064d8e7b552ab9d9a6b40b | NA | Mujer | 2017-04-13 | 2017-11-06 | PG-PAB | Si |
| 89,278 | 2,016 | CLLU2**031985 | 1985-03-21 | 34 | 035a0c3997064d8e7b552ab9d9a6b40b | Mujer | 2015-09-08 | 2016-09-01 | M-PR | Si | |
| 71,174 | 2,015 | CLLU2**031985 | 1985-03-21 | 34 | 035a0c3997064d8e7b552ab9d9a6b40b | Mujer | 2015-01-12 | 2015-06-23 | M-PR | Si | |
| 36,598 | 2,013 | CLLU2**031987 | 1987-03-21 | 32 | 035a0c3997064d8e7b552ab9d9a6b40b | Mujer | 2013-01-02 | 2013-06-29 | PG-PAB | Si | |
| 128,432 | 2,018 | NIME2**091997 | 1997-09-05 | 22 | 0374864788328fb18a154cd7ae311469 | NA | Mujer | 2017-05-31 | 2018-05-22 | PG-PAB | Si |
| 99,101 | 2,016 | NIME2**051996 | 1996-05-05 | 23 | 0374864788328fb18a154cd7ae311469 | Mujer | 2016-07-01 | 2016-09-01 | PG-PAI | Si | |
| 57,393 | 2,014 | SECA1**101985 | 1985-10-01 | 34 | 03b682d87e73fd4e2b13bc2b7edf0b39 | Hombre | 2014-05-08 | 2014-11-20 | PG-PAI | Si | |
| 22,960 | 2,012 | SECA1**101987 | 1987-10-01 | 32 | 03b682d87e73fd4e2b13bc2b7edf0b39 | Hombre | 2011-11-14 | 2012-03-30 | PG-PAI | Si | |
| 148,376 | 2,019 | MICH1**101990 | 1990-10-16 | 29 | 03beca37efa677264b8da11904b75bc3 | NA | Hombre | 2018-07-03 | 2019-04-01 | PG-PAI | Si |
| 129,136 | 2,018 | MICH1**111990 | 1990-11-16 | 28 | 03beca37efa677264b8da11904b75bc3 | NA | Hombre | 2017-07-28 | 2018-04-27 | PG-PAI | Si |
| 40,936 | 2,013 | OMOP1**011982 | 1982-01-29 | 37 | 0446a8d38e84ee506da1b35a935cda9c | Hombre | 2013-05-22 | 2013-07-01 | PG-PR | Si | |
| 39,522 | 2,013 | OMOR1**011994 | 1994-01-29 | 25 | 0446a8d38e84ee506da1b35a935cda9c | Hombre | 2013-05-02 | 2013-05-20 | PG-PAI | Si | |
| 29,646 | 2,012 | OMOP1**011982 | 1982-01-29 | 37 | 0446a8d38e84ee506da1b35a935cda9c | Hombre | 2012-08-06 | 2013-01-03 | PG-PAI | Si | |
| 18,230 | 2,011 | OMOP1**011982 | 1982-01-28 | 37 | 0446a8d38e84ee506da1b35a935cda9c | Hombre | 2011-07-28 | 2011-12-05 | PG-PAI | Si | |
| 113,407 | 2,017 | CRBA1**071987 | 1987-07-21 | 32 | 0449529027dabf57df1b778808beaade | NA | Hombre | 2017-01-24 | 2017-11-03 | PG-PAI | No |
| 86,710 | 2,016 | CRBA1**061985 | 1985-06-21 | 34 | 0449529027dabf57df1b778808beaade | Hombre | 2015-03-12 | 2016-04-29 | PG-PR | Si | |
| 54,207 | 2,014 | CRBA1**071985 | 1985-07-21 | 34 | 0449529027dabf57df1b778808beaade | Hombre | 2014-02-06 | 2014-12-05 | PG-PR | Si | |
| 51,412 | 2,014 | CRBA1**071985 | 1985-07-21 | 34 | 0449529027dabf57df1b778808beaade | Hombre | 2013-10-28 | 2014-02-03 | PG-PAI | Si | |
| 130,345 | 2,018 | DAPI1**111987 | 1987-11-17 | 31 | 04c9c55fb0396922dacfe931ad6ba983 | NA | Hombre | 2017-10-16 | 2018-01-31 | M-PAI | Si |
| 117,803 | 2,017 | DAPI2**111985 | 1985-11-17 | 33 | 04c9c55fb0396922dacfe931ad6ba983 | NA | Mujer | 2017-04-24 | 2017-10-13 | M-PR | Si |
| 101,984 | 2,016 | DAPI2**111987 | 1987-11-07 | 31 | 04c9c55fb0396922dacfe931ad6ba983 | Mujer | 2016-08-23 | 2017-02-01 | M-PAI | Si | |
| 154,271 | 2,019 | FRGO1**111991 | 1991-11-08 | 28 | 052e6e0b1fc7eac089310e43f19b118b | NA | Hombre | 2019-03-07 | 2019-04-01 | PG-PAB | Si |
| 144,949 | 2,018 | FRGO1**111991 | 1991-11-08 | 27 | 052e6e0b1fc7eac089310e43f19b118b | NA | Hombre | 2018-12-07 | 2019-01-01 | PG-PAB | Si |
| 153,511 | 2,019 | COPO2**011993 | 1993-01-27 | 26 | 054e654ee747d1fcf609a4825173502e | NA | Mujer | 2019-02-01 | 2019-04-10 | PG-PAI | Si |
| 146,309 | 2,019 | COPO2**011993 | 1993-01-27 | 26 | 054e654ee747d1fcf609a4825173502e | NA | Mujer | 2017-11-27 | 2019-01-15 | M-PR | Si |
| 117,455 | 2,017 | COPO2**011993 | 1993-01-27 | 26 | 054e654ee747d1fcf609a4825173502e | NA | Mujer | 2017-05-18 | 2017-06-15 | PG-PAI | No |
| 97,399 | 2,016 | COPO2**011996 | 1996-01-27 | 23 | 054e654ee747d1fcf609a4825173502e | Mujer | 2016-05-23 | 2016-07-29 | M-PAI | Si | |
| 107,149 | 2,017 | DIMA1**111988 | 1988-11-10 | 30 | 0558d3788b3da9c75cf540ea9babb885 | NA | Hombre | 2016-05-10 | 2017-04-26 | PG-PR | Si |
| 55,669 | 2,014 | DIMA1**111998 | 1998-11-10 | 20 | 0558d3788b3da9c75cf540ea9babb885 | Hombre | 2014-03-17 | 2015-02-06 | PG-PAB | Si | |
| 43,472 | 2,013 | ESVI1**111977 | 1977-11-13 | 41 | 059e769c77187ec7898098f37115583e | Hombre | 2013-08-12 | 2013-11-20 | PG-PAI | Si | |
| 8,697 | 2,010 | ESVI1**111975 | 1975-11-13 | 43 | 059e769c77187ec7898098f37115583e | Hombre | 2010-09-03 | 2011-01-14 | PG-PAI | Si | |
| 139,219 | 2,018 | PAPA1**101993 | 1993-10-15 | 26 | 05da1766a5667ec04d5cefd67dedf06c | NA | Hombre | 2018-06-18 | 2018-08-30 | PG-PAI | Si |
| 131,638 | 2,018 | PAPA1**101983 | 1983-10-15 | 36 | 05da1766a5667ec04d5cefd67dedf06c | NA | Hombre | 2017-11-29 | 2018-02-09 | PG-PAI | Si |
| 135,893 | 2,018 | EDBU1**101989 | 1989-10-20 | 30 | 0637f754d4ac3d615acea93092f7b0d1 | NA | Hombre | 2017-11-15 | 2018-07-01 | PG-PAI | Si |
| 108,994 | 2,017 | EDBU1**101981 | 1981-10-20 | 38 | 0637f754d4ac3d615acea93092f7b0d1 | NA | Hombre | 2016-08-31 | 2017-02-08 | PG-PAI | Si |
| 90,211 | 2,016 | EDBU1**101989 | 1989-10-20 | 30 | 0637f754d4ac3d615acea93092f7b0d1 | Hombre | 2015-09-03 | 2016-04-21 | PG-PAI | Si | |
| 90,403 | 2,016 | GRLI1**021996 | 1996-02-05 | 23 | 0649ae7cff1d044637aa0a2d83936d0f | Hombre | 2015-10-23 | 2016-07-01 | PG-PAI | Si | |
| 24,398 | 2,012 | GRLI1**021986 | 1986-02-05 | 33 | 0649ae7cff1d044637aa0a2d83936d0f | Hombre | 2011-12-27 | 2012-05-01 | PG-PR | Si | |
| 126,765 | 2,018 | ARJE1**051984 | 1984-05-23 | 35 | 06746fb773eff6839a851c46a80be5a3 | NA | Hombre | 2017-02-08 | 2018-03-19 | PG-PAI | Si |
| 41,810 | 2,013 | ARJE1**071985 | 1985-07-01 | 34 | 06746fb773eff6839a851c46a80be5a3 | Hombre | 2013-05-08 | 2013-10-14 | PG-PAI | Si | |
| 77,735 | 2,015 | FRZA1**121986 | 1986-12-13 | 32 | 06d464e1236a8abfca4ec93ed2688162 | Hombre | 2015-06-17 | 2015-08-18 | PG-PAI | Si | |
| 53,008 | 2,014 | FRZA1**121987 | 1987-12-03 | 31 | 06d464e1236a8abfca4ec93ed2688162 | Hombre | 2014-01-14 | 2014-03-29 | PG-PAI | Si | |
| 65,104 | 2,014 | ANHO1**121980 | 1980-12-13 | 38 | 07453d52b64fa11e97385772fa031836 | Hombre | 2014-12-16 | 2015-01-01 | PG-PAI | Si | |
| 39,359 | 2,013 | ANHO1**121990 | 1990-12-13 | 28 | 07453d52b64fa11e97385772fa031836 | Hombre | 2013-05-14 | 2013-11-29 | PG-PAB | Si | |
| 67,276 | 2,015 | JIZA1**041971 | 1971-04-30 | 48 | 075bb6aa81d329b96472fc8de58293ce | Hombre | 2014-05-22 | 2015-07-03 | PG-PAI | Si | |
| 54,444 | 2,014 | JIZA1**041971 | 1971-04-30 | 48 | 075bb6aa81d329b96472fc8de58293ce | Hombre | 2014-02-05 | 2014-04-07 | PG-PAI | Si | |
| 25,298 | 2,012 | JIZA1**041979 | 1979-04-30 | 40 | 075bb6aa81d329b96472fc8de58293ce | Hombre | 2012-03-01 | 2012-10-02 | PG-PAI | Si | |
| 37,371 | 2,013 | JOVE1**111982 | 1982-11-15 | 36 | 07d3a40d65e1f8fc95031942a274127a | Hombre | 2013-01-24 | 2015-05-25 | PG-PAB | Si | |
| 5,539 | 2,010 | JEVE1**011982 | 1982-01-15 | 37 | 07d3a40d65e1f8fc95031942a274127a | Hombre | 2010-05-10 | 2011-03-01 | PG-PAB | Si | |
| 10,626 | 2,011 | LAGO2**031959 | 1959-03-28 | 60 | 07d98b31a646c8852ebad4bb0f039a18 | Mujer | 2010-06-01 | 2011-09-30 | PG-PAI | Si | |
| 4,234 | 2,010 | LAGO2**031979 | 1979-03-26 | 40 | 07d98b31a646c8852ebad4bb0f039a18 | Mujer | 2010-03-08 | 2010-06-01 | PG-PAB | Si | |
| 4,116 | 2,010 | KAFA2**021978 | 1978-02-10 | 41 | 080d9edf7898d119e8e284f887ace23a | Mujer | 2010-03-22 | 2010-09-24 | PG-PAI | Si | |
| 1,161 | 2,010 | KAFA2**121978 | 1978-12-10 | 40 | 080d9edf7898d119e8e284f887ace23a | Mujer | 2009-11-18 | 2010-04-19 | M-PR | Si | |
| 92,384 | 2,016 | JOOS1**051977 | 1977-05-25 | 42 | 081b7760a1b1136aad4bebd92a001b39 | Hombre | 2016-01-18 | 2016-11-16 | PG-PR | Si | |
| 72,822 | 2,015 | JOOS1**051976 | 1976-05-25 | 43 | 081b7760a1b1136aad4bebd92a001b39 | Hombre | 2015-02-24 | 2015-06-25 | PG-PAI | Si | |
| 66,187 | 2,015 | JOOS1**051976 | 1976-05-25 | 43 | 081b7760a1b1136aad4bebd92a001b39 | Hombre | 2014-01-07 | 2015-02-06 | PG-PR | Si | |
| 46,972 | 2,013 | JOOS1**051976 | 1976-05-25 | 43 | 081b7760a1b1136aad4bebd92a001b39 | Hombre | 2013-11-28 | 2014-01-07 | PG-PAB | No | |
| 72,545 | 2,015 | ALMA1**121979 | 1979-12-23 | 39 | 082d9436d34086c12354134795e86926 | Hombre | 2015-02-18 | 2015-09-25 | PG-PAB | Si | |
| 66,451 | 2,015 | ALMA1**121969 | 1969-12-23 | 49 | 082d9436d34086c12354134795e86926 | Hombre | 2014-02-19 | 2015-01-28 | PG-PAI | Si | |
| 45,904 | 2,013 | CATO1**061992 | 1992-06-06 | 27 | 0888677b57dc04eb76fc92c341b9c6f3 | Hombre | 2013-10-01 | 2013-10-16 | PG-PR | Si | |
| 41,507 | 2,013 | CATO1**071991 | 1991-07-06 | 28 | 0888677b57dc04eb76fc92c341b9c6f3 | Hombre | 2013-06-18 | 2013-10-16 | PG-PR | Si | |
| 11,710 | 2,011 | CATO1**071991 | 1991-07-06 | 28 | 0888677b57dc04eb76fc92c341b9c6f3 | Hombre | 2010-10-05 | 2011-07-20 | PG-PR | Si | |
| 27,727 | 2,012 | LUBA1**091980 | 1980-09-23 | 39 | 08c3ea919030b5eae1a64823894ae4a6 | Hombre | 2012-04-16 | 2012-10-30 | PG-PAI | Si | |
| 22,480 | 2,012 | LUBA1**091980 | 1980-09-23 | 39 | 08c3ea919030b5eae1a64823894ae4a6 | Hombre | 2011-09-22 | 2012-04-05 | PG-PR | Si | |
| 11,324 | 2,011 | CAGO2**041977 | 1977-04-22 | 42 | 08c3ea919030b5eae1a64823894ae4a6 | Mujer | 2010-09-27 | 2011-03-21 | PG-PAI | Si | |
| 40,267 | 2,013 | LUCO1**051977 | 1977-05-10 | 42 | 08cfc58484f86eebd09aa9031e9065a8 | Hombre | 2013-05-13 | 2013-05-31 | PG-PAI | Si | |
| 26,452 | 2,012 | LUCO1**011972 | 1972-01-18 | 47 | 08cfc58484f86eebd09aa9031e9065a8 | Hombre | 2012-04-02 | 2012-12-31 | PG-PAI | Si | |
| 24,717 | 2,012 | LUCO1**011972 | 1972-01-18 | 47 | 08cfc58484f86eebd09aa9031e9065a8 | Hombre | 2012-02-17 | 2012-03-20 | PG-PAB | Si | |
| 33,562 | 2,013 | HEAL1**101984 | 1984-10-29 | 35 | 08d306308770760ac301264e2d5da1bf | Hombre | 2012-08-14 | 2013-02-19 | PG-PR | Si | |
| 1,034 | 2,010 | HEAL1**101989 | 1989-10-29 | 30 | 08d306308770760ac301264e2d5da1bf | Hombre | 2009-08-25 | 2010-08-20 | PG-PR | Si | |
| 150,214 | 2,019 | ROFU1**111975 | 1975-11-12 | 44 | 0993c46c430b41447a992aef15e3e852 | NA | Hombre | 2018-10-02 | NA | PG-PAI | Si |
| 131,682 | 2,018 | ROFU1**111975 | 1975-11-12 | 43 | 0993c46c430b41447a992aef15e3e852 | NA | Hombre | 2017-12-01 | 2018-08-31 | PG-PAB | Si |
| 50,491 | 2,014 | ROFU1**111975 | 1975-11-11 | 43 | 0993c46c430b41447a992aef15e3e852 | Hombre | 2013-08-07 | 2014-08-01 | PG-PAB | Si | |
| 39,406 | 2,013 | ROFU1**111975 | 1975-11-12 | 43 | 0993c46c430b41447a992aef15e3e852 | Hombre | 2013-05-06 | 2013-06-30 | PG-PR | Si | |
| 2,957 | 2,010 | ROFU1**111975 | 1975-11-12 | 43 | 0993c46c430b41447a992aef15e3e852 | Hombre | 2009-09-23 | 2010-10-01 | PG-PAB | Si | |
| 111,525 | 2,017 | MITO1**011996 | 1996-01-19 | 23 | 09c84edcf3150ee01bb47842f2226606 | NA | Hombre | 2016-03-30 | 2017-03-01 | PG-PAI | No |
| 88,733 | 2,016 | MITO1**011971 | 1971-01-19 | 48 | 09c84edcf3150ee01bb47842f2226606 | Hombre | 2015-07-08 | 2016-01-22 | PG-PAI | Si | |
| 80,703 | 2,015 | RIQU1**071995 | 1995-07-28 | 24 | 09d5ae47a3553a90702362b3498feba8 | Hombre | 2015-08-27 | 2015-12-21 | PG-PAB | Si | |
| 72,819 | 2,015 | RIQU1**071994 | 1994-07-28 | 25 | 09d5ae47a3553a90702362b3498feba8 | Hombre | 2015-02-06 | 2015-08-07 | PG-PR | Si | |
| 70,526 | 2,015 | RIQU1**071994 | 1994-07-28 | 25 | 09d5ae47a3553a90702362b3498feba8 | Hombre | 2014-11-20 | 2015-02-05 | PG-PAB | Si | |
| 161,867 | 2,019 | LUBR1**081985 | 1985-08-27 | 34 | 09d9d1b29d493e416ce42a2202a6bc43 | NA | Hombre | 2019-09-02 | NA | PG-PAI | Si |
| 65,949 | 2,015 | LUBR1**121985 | 1985-12-30 | 33 | 09d9d1b29d493e416ce42a2202a6bc43 | Hombre | 2013-10-02 | 2015-04-30 | PG-PAI | Si | |
| 148,694 | 2,019 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | NA | Hombre | 2018-08-01 | 2019-03-08 | PG-PAI | Si |
| 118,299 | 2,017 | ROAN1**061999 | 1999-06-15 | 20 | 0a36a632748c09dcf24fdc962bde1f1a | NA | Hombre | 2017-05-09 | 2017-12-06 | PG-PAB | Si |
| 83,582 | 2,015 | ROAN1**101980 | 1980-10-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2015-10-22 | 2015-12-01 | PG-PAI | No | |
| 74,377 | 2,015 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2015-03-26 | 2015-10-01 | PG-PR | Si | |
| 74,151 | 2,015 | ROAN1**051980 | 1980-05-16 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2015-03-02 | 2015-03-25 | PG-PAI | Si | |
| 64,283 | 2,014 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2014-11-10 | 2014-12-23 | PG-PAI | Si | |
| 38,055 | 2,013 | ROAN1**061980 | 1980-06-06 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2013-03-11 | 2013-06-04 | PG-PAI | Si | |
| 27,822 | 2,012 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2012-05-30 | 2012-11-05 | PG-PAB | Si | |
| 17,971 | 2,011 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2011-08-12 | 2011-10-27 | PG-PAB | Si | |
| 6,103 | 2,010 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2010-05-27 | 2011-01-26 | PG-PAB | Si | |
| 3,595 | 2,010 | ROAN1**061980 | 1980-06-15 | 39 | 0a36a632748c09dcf24fdc962bde1f1a | Hombre | 2009-06-02 | 2010-04-30 | PG-PAB | Si | |
| 71,487 | 2,015 | JAMO1**051962 | 1962-05-28 | 57 | 0a52110ee54eb0133dafa9fadcb96b5c | Hombre | 2015-01-06 | 2015-08-14 | PG-PR | Si | |
| 24,278 | 2,012 | JAMO1**051963 | 1963-05-26 | 56 | 0a52110ee54eb0133dafa9fadcb96b5c | Hombre | 2012-01-13 | 2012-10-25 | PG-PR | Si | |
| 133,079 | 2,018 | ROEN1**011982 | 1982-01-20 | 37 | 0a5b1783d4ec45c7df2c6efcd0ef4629 | NA | Hombre | 2018-01-10 | 2018-03-30 | PG-PAI | Si |
| 119,314 | 2,017 | ROEN1**011981 | 1981-01-20 | 38 | 0a5b1783d4ec45c7df2c6efcd0ef4629 | NA | Hombre | 2017-07-10 | 2017-10-26 | PG-PAB | Si |
| 131,615 | 2,018 | MIPE1**011982 | 1982-01-16 | 37 | 0a6740b61a23dbc0980dede23ec52a2a | NA | Hombre | 2017-11-29 | 2018-03-01 | PG-PAI | Si |
| 88,883 | 2,016 | MIPE1**011982 | 1982-01-16 | 37 | 0a6740b61a23dbc0980dede23ec52a2a | Hombre | 2015-08-26 | 2016-03-01 | PG-PR | Si | |
| 57,373 | 2,014 | MIPE1**011982 | 1982-01-16 | 37 | 0a6740b61a23dbc0980dede23ec52a2a | Hombre | 2014-05-06 | 2014-08-14 | PG-PAI | Si | |
| 24,641 | 2,012 | MIPE1**011984 | 1984-01-16 | 35 | 0a6740b61a23dbc0980dede23ec52a2a | Hombre | 2012-02-06 | 2012-04-06 | PG-PAI | Si | |
| 51,099 | 2,014 | JAAM1**041986 | 1986-04-19 | 33 | 0a82fbe4270a24f6e2a6cb99f6b003b2 | Hombre | 2013-10-04 | 2014-01-20 | PG-PAI | Si | |
| 29,339 | 2,012 | JAAM1**041993 | 1993-04-14 | 26 | 0a82fbe4270a24f6e2a6cb99f6b003b2 | Hombre | 2012-08-29 | 2012-12-17 | PG-PAI | Si | |
| 64,545 | 2,014 | NIFE1**121992 | 1992-12-21 | 26 | 0ad9090b99f6add47d0ed80878410d7b | Hombre | 2014-11-26 | 2014-11-27 | CALLE | Si | |
| 62,328 | 2,014 | NIFE1**121992 | 1992-12-21 | 26 | 0ad9090b99f6add47d0ed80878410d7b | Hombre | 2014-09-02 | 2014-09-06 | PG-PR | Si | |
| 15,986 | 2,011 | NIFE1**121991 | 1991-12-21 | 27 | 0ad9090b99f6add47d0ed80878410d7b | Hombre | 2011-05-10 | NA | PG-PR | Si | |
| 131,817 | 2,018 | MAGA2**071991 | 1991-07-04 | 28 | 0af1ce02c91d233099c5e985bbcb680a | NA | Mujer | 2017-12-13 | 2018-08-21 | PG-PAI | Si |
| 112,256 | 2,017 | MAGA2**071991 | 1991-07-04 | 28 | 0af1ce02c91d233099c5e985bbcb680a | NA | Mujer | 2017-01-31 | 2017-08-04 | M-PR | Si |
| 108,131 | 2,017 | MAGA2**071989 | 1989-07-04 | 30 | 0af1ce02c91d233099c5e985bbcb680a | NA | Mujer | 2016-07-28 | 2017-01-30 | PG-PAI | Si |
| 41,168 | 2,013 | PAGO2**031972 | 1972-03-22 | 47 | 0b2f3f8d9f07c5855979e3c768672541 | Mujer | 2013-06-24 | 2013-12-20 | PG-PAI | Si | |
| 28,509 | 2,012 | PAGO2**051978 | 1978-05-22 | 41 | 0b2f3f8d9f07c5855979e3c768672541 | Mujer | 2012-07-03 | 2012-08-08 | M-PR | Si | |
| 149,696 | 2,019 | JAGA1**111983 | 1983-11-10 | 36 | 0b3a0f6f652f28220edf0e629f994fc4 | NA | Hombre | 2018-09-28 | 2019-03-22 | PG-PR | Si |
| 77,881 | 2,015 | JAGA1**111983 | 1983-11-10 | 35 | 0b3a0f6f652f28220edf0e629f994fc4 | Hombre | 2015-06-17 | 2015-10-28 | PG-PAI | Si | |
| 93,643 | 2,016 | CARE1**021996 | 1996-02-10 | 23 | 0b734e0104a0662130170e1f5a053bde | Hombre | 2016-02-17 | 2016-10-01 | PG-PAI | Si | |
| 80,349 | 2,015 | CARE1**061988 | 1988-06-10 | 31 | 0b734e0104a0662130170e1f5a053bde | Hombre | 2015-08-24 | 2015-09-04 | PG-PAI | Si | |
| 74,084 | 2,015 | REAT1**061988 | 1988-06-10 | 31 | 0b734e0104a0662130170e1f5a053bde | Hombre | 2015-03-24 | 2015-04-30 | PG-PAI | Si | |
| 38,887 | 2,013 | CARE1**061988 | 1988-06-10 | 31 | 0b734e0104a0662130170e1f5a053bde | Hombre | 2013-03-18 | 2013-07-01 | PG-PAB | Si | |
| 112,908 | 2,017 | PAVE2**051996 | 1996-05-14 | 23 | 0ba0e0e8daeac85e4d4ee88331d58d34 | NA | Mujer | 2017-01-01 | 2017-02-20 | M-PR | Si |
| 99,131 | 2,016 | PAVE2**051986 | 1986-05-14 | 33 | 0ba0e0e8daeac85e4d4ee88331d58d34 | Mujer | 2016-07-04 | 2016-12-22 | M-PR | Si | |
| 150,003 | 2,019 | JEMA2**111990 | 1990-11-12 | 29 | 0bb05e2c981175169582c8f56c5a2f26 | NA | Mujer | 2018-09-27 | 2019-04-30 | PG-PAB | Si |
| 100,462 | 2,016 | JEMA2**111990 | 1990-11-12 | 28 | 0bb05e2c981175169582c8f56c5a2f26 | Mujer | 2016-08-05 | 2016-12-01 | M-PR | Si | |
| 86,918 | 2,016 | KASE2**051983 | 1983-05-14 | 36 | 0bfd1b87c34eafc58ec8a15915c7c189 | Mujer | 2015-03-25 | 2016-06-01 | PG-PAI | Si | |
| 61,020 | 2,014 | KASE2**051982 | 1982-05-14 | 37 | 0bfd1b87c34eafc58ec8a15915c7c189 | Mujer | 2014-08-20 | 2014-09-09 | M-PR | Si | |
| 130,336 | 2,018 | ANTO1**081994 | 1994-08-29 | 25 | 0c07639f9bf9a1e1d74e7ec64f6b2066 | NA | Hombre | 2017-10-23 | 2018-01-26 | PG-PR | Si |
| 110,197 | 2,017 | JATO1**081994 | 1994-08-29 | 25 | 0c07639f9bf9a1e1d74e7ec64f6b2066 | NA | Hombre | 2016-11-03 | 2017-01-26 | PG-PR | Si |
| 70,823 | 2,015 | JATO1**091999 | 1999-09-29 | 20 | 0c07639f9bf9a1e1d74e7ec64f6b2066 | Hombre | 2014-12-18 | 2015-04-01 | PG-PAI | Si | |
| 128,749 | 2,018 | HUOP1**111955 | 1955-11-06 | 63 | 0c1f700770c5e9f0834be27a85cbad61 | NA | Hombre | 2017-08-08 | 2018-02-13 | PG-PAB | Si |
| 65,536 | 2,015 | HUOP1**111965 | 1965-11-13 | 53 | 0c1f700770c5e9f0834be27a85cbad61 | Hombre | 2013-03-18 | 2015-02-02 | PG-PAB | Si | |
| 73,514 | 2,015 | VEHE2**061984 | 1984-06-07 | 35 | 0c3c8426e2d1a0fd497bea74afde0688 | Mujer | 2015-03-06 | 2015-03-16 | M-PR | Si | |
| 32,394 | 2,013 | VEHE2**071981 | 1981-07-07 | 38 | 0c3c8426e2d1a0fd497bea74afde0688 | Mujer | 2011-09-26 | 2013-10-11 | M-PR | Si | |
| 155,398 | 2,019 | JECA2**101976 | 1976-10-15 | 43 | 0cb473217468910f4f7dee26dcdafd2a | NA | Mujer | 2019-04-01 | NA | PG-PAB | Si |
| 138,932 | 2,018 | JECA2**101976 | 1976-10-15 | 43 | 0cb473217468910f4f7dee26dcdafd2a | NA | Mujer | 2018-06-18 | 2018-11-07 | M-PAI | Si |
| 120,915 | 2,017 | JECA2**101977 | 1977-10-15 | 42 | 0cb473217468910f4f7dee26dcdafd2a | NA | Mujer | 2017-08-21 | 2018-01-24 | PG-PAB | Si |
| 111,807 | 2,017 | MAFR2**011993 | 1993-01-02 | 26 | 0cb6122c9f03d5c1d4de382dbb49cde2 | NA | Mujer | 2016-12-19 | 2017-04-03 | M-PAI | Si |
| 102,084 | 2,016 | MAAR2**121993 | 1993-12-02 | 25 | 0cb6122c9f03d5c1d4de382dbb49cde2 | Mujer | 2016-09-07 | 2016-12-05 | M-PAI | Si | |
| 155,602 | 2,019 | JACE2**111981 | 1981-11-07 | 38 | 0cd0b036b64393f92c7342e3fa02f850 | NA | Mujer | 2019-04-11 | NA | PG-PAB | Si |
| 141,447 | 2,018 | JACE2**111981 | 1981-11-07 | 37 | 0cd0b036b64393f92c7342e3fa02f850 | NA | Mujer | 2018-08-01 | 2018-12-18 | M-PR | Si |
| 104,388 | 2,016 | ISFE2**091995 | 1995-09-11 | 24 | 0cd95b9d871beefc3bf68a94b9c50e28 | Mujer | 2016-11-01 | 2016-12-19 | PG-PAB | Si | |
| 86,890 | 2,016 | ISFE2**091965 | 1965-09-11 | 54 | 0cd95b9d871beefc3bf68a94b9c50e28 | Mujer | 2015-03-30 | 2016-05-23 | M-PR | Si | |
| 73,274 | 2,015 | ISFE2**091965 | 1965-09-11 | 54 | 0cd95b9d871beefc3bf68a94b9c50e28 | Mujer | 2015-01-15 | 2015-03-31 | PG-PAI | Si | |
| 52,131 | 2,014 | ISFE2**091965 | 1965-09-11 | 54 | 0cd95b9d871beefc3bf68a94b9c50e28 | Mujer | 2013-11-06 | 2014-11-25 | PG-PAI | Si | |
| 120,400 | 2,017 | RODI1**121986 | 1986-12-15 | 32 | 0d0317f51c2cf1d9fe8427fcaefbd0b1 | NA | Hombre | 2017-08-07 | 2017-08-25 | PG-PAI | Si |
| 114,594 | 2,017 | RODI1**121988 | 1988-12-15 | 30 | 0d0317f51c2cf1d9fe8427fcaefbd0b1 | NA | Hombre | 2017-03-16 | 2017-06-01 | PG-PAI | Si |
| 117,591 | 2,017 | MALI1**021975 | 1975-02-01 | 44 | 0d0e5c4975d419ec5f9c7ff8ba417ec6 | NA | Hombre | 2017-05-23 | 2017-10-26 | PG-PAI | Si |
| 92,054 | 2,016 | MALI1**121975 | 1975-12-01 | 43 | 0d0e5c4975d419ec5f9c7ff8ba417ec6 | Hombre | 2015-12-28 | 2016-03-15 | PG-PAI | Si | |
| 74,554 | 2,015 | JUAR1**011982 | 1982-01-09 | 37 | 0d40c418841cc2c71d9f0f5027cc6b62 | Hombre | 2015-03-25 | 2015-08-10 | PG-PR | Si | |
| 70,933 | 2,015 | JUAR1**011981 | 1981-01-09 | 38 | 0d40c418841cc2c71d9f0f5027cc6b62 | Hombre | 2015-01-22 | 2015-03-24 | PG-PAB | No | |
| 22,404 | 2,012 | JUAR1**091982 | 1982-09-01 | 37 | 0d40c418841cc2c71d9f0f5027cc6b62 | Hombre | 2011-09-13 | 2012-02-29 | PG-PAB | Si | |
| 160,470 | 2,019 | OSCA1**081982 | 1982-08-02 | 37 | 0d5d91c1107f2dd97d904b82961113f3 | NA | Hombre | 2019-08-22 | NA | PG-PR | Si |
| 154,181 | 2,019 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | NA | Hombre | 2019-02-12 | 2019-03-21 | PG-PR | Si |
| 149,746 | 2,019 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | NA | Hombre | 2018-10-01 | 2019-02-11 | PG-PAI | Si |
| 91,250 | 2,016 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | Hombre | 2015-11-30 | 2016-03-01 | PG-PR | Si | |
| 80,602 | 2,015 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | Hombre | 2015-08-07 | 2015-10-02 | PG-PR | Si | |
| 76,470 | 2,015 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | Hombre | 2015-05-05 | 2015-07-07 | PG-PR | Si | |
| 69,449 | 2,015 | OSCA1**081980 | 1980-08-29 | 39 | 0d5d91c1107f2dd97d904b82961113f3 | Hombre | 2014-10-23 | 2015-02-04 | PG-PR | Si | |
| 161,534 | 2,019 | CAOR2**091994 | 1994-09-16 | 25 | 0dcbb293a249dcc46e0c58dcd098f09e | NA | Mujer | 2019-09-03 | NA | M-PAI | Si |
| 132,323 | 2,018 | CAOR2**091995 | 1995-09-16 | 24 | 0dcbb293a249dcc46e0c58dcd098f09e | NA | Mujer | 2018-01-04 | 2018-08-28 | M-PAI | Si |
| 88,646 | 2,016 | DAAC1**121973 | 1973-12-28 | 45 | 0e0654dd8a8193c33e7d1b0e1ad69051 | Hombre | 2015-08-06 | 2016-01-19 | PG-PR | Si | |
| 76,047 | 2,015 | DAAC1**121973 | 1973-12-28 | 45 | 0e0654dd8a8193c33e7d1b0e1ad69051 | Hombre | 2015-04-16 | 2015-08-13 | PG-PAI | Si | |
| 33,908 | 2,013 | DAAC1**121973 | 1973-12-28 | 45 | 0e0654dd8a8193c33e7d1b0e1ad69051 | Hombre | 2012-09-10 | 2013-12-20 | PG-PAI | Si | |
| 22,434 | 2,012 | DAAC1**121972 | 1972-12-29 | 46 | 0e0654dd8a8193c33e7d1b0e1ad69051 | Hombre | 2011-05-31 | 2012-03-27 | PG-PAB | Si | |
| 12,119 | 2,011 | DAAC1**121972 | 1972-12-29 | 46 | 0e0654dd8a8193c33e7d1b0e1ad69051 | Hombre | 2010-11-24 | 2011-05-26 | PG-PAB | Si | |
| 49,224 | 2,014 | PARU2**011985 | 1985-01-14 | 34 | 0e0c9e7cec37653d4a4735d05c93443c | Mujer | 2013-05-27 | 2014-12-22 | M-PAI | Si | |
| 38,875 | 2,013 | PARU2**011985 | 1985-01-14 | 34 | 0e0c9e7cec37653d4a4735d05c93443c | Mujer | 2013-04-24 | 2013-05-24 | M-PR | Si | |
| 35,736 | 2,013 | PARU2**011983 | 1983-01-14 | 36 | 0e0c9e7cec37653d4a4735d05c93443c | Mujer | 2013-01-07 | 2013-04-23 | M-PAI | Si | |
| 153,481 | 2,019 | CLCA1**111972 | 1972-11-11 | 47 | 0e0d0d117b5afa1ae4a23aa9b18dbdc9 | NA | Hombre | 2019-02-19 | 2019-04-02 | PG-PAI | Si |
| 22,700 | 2,012 | CLCA1**111972 | 1972-11-11 | 46 | 0e0d0d117b5afa1ae4a23aa9b18dbdc9 | Hombre | 2011-10-04 | 2012-12-19 | PG-PAI | Si | |
| 3,425 | 2,010 | CLCA1**111972 | 1972-11-11 | 46 | 0e0d0d117b5afa1ae4a23aa9b18dbdc9 | Hombre | 2010-01-18 | 2010-05-04 | PG-PAB | Si | |
| 100,900 | 2,016 | SOGU2**071985 | 1985-07-12 | 34 | 0e1895f82c4b9871e7c022ae97d6baec | Mujer | 2016-08-04 | 2016-09-09 | M-PR | Si | |
| 81,259 | 2,015 | SOGU2**071983 | 1983-07-12 | 36 | 0e1895f82c4b9871e7c022ae97d6baec | Mujer | 2015-09-07 | 2015-10-02 | M-PR | Si | |
| 54,358 | 2,014 | SOGU2**071985 | 1985-07-12 | 34 | 0e1895f82c4b9871e7c022ae97d6baec | Mujer | 2014-02-17 | 2014-04-16 | PG-PAB | Si | |
| 88,294 | 2,016 | MAPE1**111989 | 1989-11-30 | 29 | 0e76d782a342f05b7369e7cd7986ea89 | Hombre | 2015-07-15 | 2016-03-01 | PG-PAI | Si | |
| 69,098 | 2,015 | MAPE1**121990 | 1990-12-30 | 28 | 0e76d782a342f05b7369e7cd7986ea89 | Hombre | 2014-10-20 | 2015-05-18 | PG-PAI | Si | |
| 40,650 | 2,013 | JOJI2**121990 | 1990-12-11 | 28 | 0e9ffcb8684f33f1502e835f7e3d7ffb | Mujer | 2013-06-11 | 2014-01-15 | PG-PAI | Si | |
| 14,279 | 2,011 | JOJI1**091990 | 1990-09-11 | 29 | 0e9ffcb8684f33f1502e835f7e3d7ffb | Hombre | 2011-03-08 | 2011-09-01 | PG-PAB | Si | |
| 149,931 | 2,019 | PACA1**111971 | 1971-11-07 | 48 | 0ef9a2c60c56ccb5d888be5310f3020c | NA | Hombre | 2018-09-24 | 2019-05-15 | PG-PAI | Si |
| 133,755 | 2,018 | PACA1**111971 | 1971-11-07 | 47 | 0ef9a2c60c56ccb5d888be5310f3020c | NA | Hombre | 2018-02-08 | 2018-07-27 | PG-PR | Si |
| 50,842 | 2,014 | PACA1**111971 | 1971-11-07 | 47 | 0ef9a2c60c56ccb5d888be5310f3020c | Hombre | 2013-09-26 | 2015-01-02 | PG-PAI | Si | |
| 116,178 | 2,017 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | NA | Hombre | 2017-04-10 | 2017-06-01 | PG-PAI | Si |
| 116,001 | 2,017 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | NA | Hombre | 2017-04-03 | 2017-04-08 | PG-PR | Si |
| 115,060 | 2,017 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | NA | Hombre | 2017-01-31 | 2017-03-29 | PG-PAI | Si |
| 97,874 | 2,016 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2016-05-27 | 2016-08-12 | PG-PR | Si | |
| 90,359 | 2,016 | ALPA1**051996 | 1996-05-02 | 23 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2015-10-19 | 2016-05-23 | PG-PAI | Si | |
| 78,870 | 2,015 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2015-07-14 | 2015-10-16 | PG-PR | Si | |
| 59,848 | 2,014 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2014-07-23 | 2014-08-11 | PG-PR | Si | |
| 59,582 | 2,014 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2014-07-08 | 2014-07-21 | PG-PAI | Si | |
| 59,197 | 2,014 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2014-06-05 | 2014-07-01 | PG-PAI | Si | |
| 51,832 | 2,014 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2013-11-04 | 2014-06-07 | PG-PAB | Si | |
| 30,017 | 2,012 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2012-09-03 | 2013-01-21 | PG-PAB | Si | |
| 23,019 | 2,012 | ALPA1**051986 | 1986-05-02 | 33 | 0f4aa2f78fa5da961404e6e5389ad76c | Hombre | 2011-11-04 | 2012-03-30 | PG-PAB | No | |
| 71,812 | 2,015 | VIOS1**101981 | 1981-10-31 | 38 | 0f5e116fd2302ef1e0079ed7fb6c43d1 | Hombre | 2015-01-08 | 2015-08-01 | PG-PAI | Si | |
| 38,215 | 2,013 | VIOS1**081980 | 1980-08-13 | 39 | 0f5e116fd2302ef1e0079ed7fb6c43d1 | Hombre | 2013-03-12 | 2013-06-04 | PG-PAB | Si | |
| 131,329 | 2,018 | TECA2**031965 | 1965-03-23 | 54 | 0f9d0e5935d8899c35255ce5f236d58a | NA | Mujer | 2017-11-22 | 2018-07-20 | PG-PR | Si |
| 109,261 | 2,017 | TECA2**031965 | 1965-03-23 | 54 | 0f9d0e5935d8899c35255ce5f236d58a | NA | Mujer | 2016-09-01 | 2017-04-26 | PG-PAB | Si |
| 93,893 | 2,016 | TECA2**031966 | 1966-03-12 | 53 | 0f9d0e5935d8899c35255ce5f236d58a | Mujer | 2015-12-29 | 2016-03-17 | PG-PAB | Si | |
| 152,431 | 2,019 | DAPI1**011985 | 1985-01-06 | 34 | 1014fb4b1388e064f36ba0a6c62bf6a9 | NA | Hombre | 2019-01-25 | NA | PG-PR | Si |
| 141,821 | 2,018 | DAPI1**011985 | 1985-01-06 | 34 | 1014fb4b1388e064f36ba0a6c62bf6a9 | NA | Hombre | 2018-09-03 | 2018-10-01 | PG-PAI | Si |
| 4,977 | 2,010 | DAPI1**011985 | 1985-01-06 | 34 | 1014fb4b1388e064f36ba0a6c62bf6a9 | Hombre | 2010-04-15 | 2010-06-15 | PG-PAI | Si | |
| 76 | 2,010 | DAPI1**011995 | 1995-01-06 | 24 | 1014fb4b1388e064f36ba0a6c62bf6a9 | Hombre | 2009-07-17 | 2010-04-30 | PG-PR | Si | |
| 137,042 | 2,018 | MAHE1**111982 | 1982-11-14 | 36 | 10259c2bfd6e35456c0bee485923b988 | NA | Hombre | 2018-04-23 | 2018-11-30 | PG-PAB | Si |
| 122,139 | 2,017 | MAHE1**051965 | 1965-05-11 | 54 | 10259c2bfd6e35456c0bee485923b988 | NA | Hombre | 2017-09-28 | 2017-11-01 | PG-PAB | Si |
| 49,067 | 2,014 | MAHE1**051965 | 1965-05-11 | 54 | 10259c2bfd6e35456c0bee485923b988 | Hombre | 2013-05-16 | 2014-02-03 | PG-PAI | Si | |
| 22,944 | 2,012 | JOUB1**071972 | 1972-07-27 | 47 | 1097c28c660153ac5ffec23eff64c6da | Hombre | 2011-11-01 | 2012-04-29 | PG-PAI | Si | |
| 9,988 | 2,011 | JOUB1**071980 | 1980-07-19 | 39 | 1097c28c660153ac5ffec23eff64c6da | Hombre | 2008-11-03 | 2011-04-29 | PG-PAI | Si | |
| 123,683 | 2,017 | YEVA2**081999 | 1999-08-04 | 20 | 10daef09cde7cb54835558e8254d7846 | NA | Mujer | 2017-10-27 | 2018-01-15 | M-PR | Si |
| 123,666 | 2,017 | YEVA2**081999 | 1999-08-04 | 20 | 10daef09cde7cb54835558e8254d7846 | NA | Mujer | 2017-10-20 | 2017-10-26 | M-PAI | Si |
| 117,067 | 2,017 | YEVA2**081990 | 1990-08-04 | 29 | 10daef09cde7cb54835558e8254d7846 | NA | Mujer | 2017-05-18 | 2017-05-31 | M-PAI | Si |
| 108,880 | 2,017 | YEVA2**081990 | 1990-08-04 | 29 | 10daef09cde7cb54835558e8254d7846 | NA | Mujer | 2016-08-03 | 2017-03-31 | M-PAI | Si |
| 97,054 | 2,016 | YEVA2**081990 | 1990-08-04 | 29 | 10daef09cde7cb54835558e8254d7846 | Mujer | 2016-05-10 | 2016-07-01 | PG-PAI | Si | |
| 72,730 | 2,015 | FACR1**121993 | 1993-12-28 | 25 | 11069ab3c29e95014fb376a5b0b36a5e | Hombre | 2014-12-19 | 2015-09-17 | PG-PAI | Si | |
| 55,296 | 2,014 | FACR1**121993 | 1993-12-28 | 25 | 11069ab3c29e95014fb376a5b0b36a5e | Hombre | 2014-03-12 | 2014-05-30 | PG-PAB | Si | |
| 35,134 | 2,013 | FACR1**121992 | 1992-12-28 | 26 | 11069ab3c29e95014fb376a5b0b36a5e | Hombre | 2012-11-05 | 2013-12-18 | PG-PAI | Si | |
| 27,631 | 2,012 | FACR1**121992 | 1992-12-28 | 26 | 11069ab3c29e95014fb376a5b0b36a5e | Hombre | 2012-06-18 | 2012-12-01 | PG-PAI | Si | |
| 111,125 | 2,017 | MISO1**101985 | 1985-10-07 | 34 | 112b39c8214e7c0283e8150305011c57 | NA | Hombre | 2016-12-12 | 2017-11-30 | PG-PAI | Si |
| 29,025 | 2,012 | MISO1**111985 | 1985-11-07 | 33 | 112b39c8214e7c0283e8150305011c57 | Hombre | 2012-08-01 | 2012-10-31 | PG-PAI | Si | |
| 13,832 | 2,011 | MISO1**101985 | 1985-10-07 | 34 | 112b39c8214e7c0283e8150305011c57 | Hombre | 2011-02-04 | 2011-09-30 | PG-PAI | Si | |
| 143,144 | 2,018 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | NA | Mujer | 2018-10-10 | 2019-01-01 | M-PAI | Si |
| 130,980 | 2,018 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | NA | Mujer | 2017-11-22 | 2018-05-08 | M-PR | Si |
| 122,842 | 2,017 | CLBE2**101973 | 1973-10-03 | 46 | 1173f19959cadd5542a584ab94ca87b7 | NA | Mujer | 2017-07-10 | 2017-11-21 | PG-PAI | Si |
| 85,788 | 2,016 | CLBE2**091976 | 1976-09-05 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2014-07-07 | 2016-04-13 | M-PAI | Si | |
| 58,200 | 2,014 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2014-04-04 | 2014-07-31 | PG-PAI | Si | |
| 39,002 | 2,013 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2013-04-26 | 2013-08-01 | M-PR | Si | |
| 36,165 | 2,013 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2013-01-23 | 2013-04-01 | PG-PAI | Si | |
| 26,165 | 2,012 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2012-04-02 | 2013-01-21 | M-PAI | Si | |
| 25,006 | 2,012 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2012-02-15 | 2012-04-12 | M-PR | Si | |
| 22,505 | 2,012 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2011-09-22 | 2012-02-13 | M-PAI | Si | |
| 12,741 | 2,011 | CLBE2**091976 | 1976-09-03 | 43 | 1173f19959cadd5542a584ab94ca87b7 | Mujer | 2011-01-17 | 2011-06-23 | PG-PAB | Si | |
| 138,088 | 2,018 | JOAC1**081985 | 1985-08-05 | 34 | 118d2e60b4cec15c4c08d7fae1dd08a4 | NA | Hombre | 2018-05-08 | 2018-07-20 | PG-PR | No |
| 97,136 | 2,016 | JOAC1**081987 | 1987-08-05 | 32 | 118d2e60b4cec15c4c08d7fae1dd08a4 | Hombre | 2016-05-02 | 2016-06-01 | PG-PAB | Si | |
| 130,228 | 2,018 | DIMO1**051987 | 1987-05-06 | 32 | 12226c569c52e1809ae6632a504fe459 | NA | Hombre | 2017-10-24 | 2018-02-01 | PG-PR | Si |
| 115,433 | 2,017 | DIMO1**031999 | 1999-03-22 | 20 | 12226c569c52e1809ae6632a504fe459 | NA | Hombre | 2017-04-03 | 2017-06-14 | PG-PR | Si |
| 49,658 | 2,014 | DIMO1**051987 | 1987-05-06 | 32 | 12226c569c52e1809ae6632a504fe459 | Hombre | 2013-07-01 | 2014-05-09 | PG-PAI | Si | |
| 70,481 | 2,015 | BARO2**071998 | 1998-07-14 | 21 | 12343ee952e906e4aa9b6477bfcb58c8 | Mujer | 2014-08-14 | 2015-11-30 | PG-PAB | Si | |
| 63,088 | 2,014 | BARO2**071988 | 1988-07-14 | 31 | 12343ee952e906e4aa9b6477bfcb58c8 | Mujer | 2014-10-01 | 2014-11-18 | M-PAI | Si | |
| 57,755 | 2,014 | MASA1**111989 | 1989-11-18 | 29 | 123bce0633eee749a557413c980dead1 | Hombre | 2014-05-13 | 2014-07-01 | PG-PR | Si | |
| 54,276 | 2,014 | MASA1**111989 | 1989-11-03 | 30 | 123bce0633eee749a557413c980dead1 | Hombre | 2014-02-03 | 2014-05-01 | PG-PAI | Si | |
| 137,696 | 2,018 | LUAR1**081985 | 1985-08-12 | 34 | 123ec952e595d167ea434c5bd3d09564 | NA | Hombre | 2018-05-23 | 2018-07-02 | PG-PAB | No |
| 101,664 | 2,016 | LUAR1**081986 | 1986-08-12 | 33 | 123ec952e595d167ea434c5bd3d09564 | Hombre | 2016-09-09 | 2016-11-14 | PG-PAI | Si | |
| 121,076 | 2,017 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | NA | Hombre | 2017-07-26 | 2017-10-11 | PG-PAB | Si |
| 93,978 | 2,016 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2016-02-19 | 2016-11-03 | PG-PR | Si | |
| 70,232 | 2,015 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2014-11-03 | 2015-04-06 | PG-PAB | Si | |
| 49,940 | 2,014 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2013-07-22 | 2014-04-14 | PG-PR | Si | |
| 39,446 | 2,013 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2013-05-10 | 2013-07-22 | PG-PAI | Si | |
| 26,756 | 2,012 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2012-05-15 | 2012-05-26 | PG-PR | Si | |
| 26,555 | 2,012 | CLRA1**041993 | 1993-04-19 | 26 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2012-04-23 | 2012-05-15 | PG-PAI | Si | |
| 15,312 | 2,011 | CLRA1**041977 | 1977-04-19 | 42 | 12535edefc7d9d90edf23c8825b2073b | Hombre | 2011-04-04 | 2011-08-22 | PG-PAI | Si | |
| 91,624 | 2,016 | ERHI1**111965 | 1965-11-06 | 53 | 125b26442466e0f3852d807bbbb89463 | Hombre | 2015-12-14 | 2016-11-09 | PG-PR | Si | |
| 76,696 | 2,015 | ERHI1**111965 | 1965-11-06 | 53 | 125b26442466e0f3852d807bbbb89463 | Hombre | 2015-05-04 | 2015-07-30 | PG-PAI | Si | |
| 66,677 | 2,015 | ERHI1**111965 | 1965-11-06 | 53 | 125b26442466e0f3852d807bbbb89463 | Hombre | 2014-03-27 | 2015-03-29 | PG-PR | Si | |
| 49,646 | 2,014 | ERHI1**121966 | 1966-12-06 | 52 | 125b26442466e0f3852d807bbbb89463 | Hombre | 2013-05-22 | 2014-02-28 | PG-PAB | Si | |
| 96,027 | 2,016 | PANE1**121979 | 1979-12-30 | 39 | 12701a589f60e59d41bc68d17be2fa03 | Hombre | 2016-04-06 | 2016-08-31 | PG-PAI | Si | |
| 71,939 | 2,015 | PANE1**101979 | 1979-10-30 | 40 | 12701a589f60e59d41bc68d17be2fa03 | Hombre | 2015-01-05 | 2015-10-26 | PG-PAI | Si | |
| 42,883 | 2,013 | PANE1**101979 | 1979-10-30 | 40 | 12701a589f60e59d41bc68d17be2fa03 | Hombre | 2013-07-11 | 2013-10-10 | PG-PAI | Si | |
| 42,868 | 2,013 | PANE1**101979 | 1979-10-30 | 40 | 12701a589f60e59d41bc68d17be2fa03 | Hombre | 2013-07-09 | 2013-07-09 | PG-PAI | No | |
| 10,462 | 2,011 | PANE1**101979 | 1979-10-30 | 40 | 12701a589f60e59d41bc68d17be2fa03 | Hombre | 2009-11-09 | 2011-01-28 | PG-PAI | Si | |
| 139,567 | 2,018 | JURI1**061967 | 1967-06-27 | 52 | 12831c3b982de6dda6de919ff0f4140f | NA | Hombre | 2018-07-03 | 2018-10-10 | PG-PR | Si |
| 137,404 | 2,018 | JURI1**061967 | 1967-06-27 | 52 | 12831c3b982de6dda6de919ff0f4140f | NA | Hombre | 2018-05-17 | 2018-05-30 | PG-PR | Si |
| 46,749 | 2,013 | JURI1**061967 | 1967-06-27 | 52 | 12831c3b982de6dda6de919ff0f4140f | Hombre | 2013-10-25 | 2013-11-15 | PG-PAI | Si | |
| 45,150 | 2,013 | JURI1**061977 | 1977-06-27 | 42 | 12831c3b982de6dda6de919ff0f4140f | Hombre | 2013-10-21 | 2013-10-23 | PG-PR | Si | |
| 126,709 | 2,018 | ALAN2**041974 | 1974-04-28 | 45 | 12a8b05f2411b588f7711cd461ae71e8 | NA | Mujer | 2017-01-09 | 2018-02-28 | PG-PAB | Si |
| 69,662 | 2,015 | ALAN2**121974 | 1974-12-05 | 44 | 12a8b05f2411b588f7711cd461ae71e8 | Mujer | 2014-11-07 | 2015-08-03 | PG-PAB | Si | |
| 110,930 | 2,017 | PERI1**111951 | 1951-11-24 | 67 | 12d12a8b9378b80aa1dfc6a611d99eda | NA | Hombre | 2016-11-30 | 2017-03-01 | PG-PAI | Si |
| 50,115 | 2,014 | PERI1**111954 | 1954-11-24 | 64 | 12d12a8b9378b80aa1dfc6a611d99eda | Hombre | 2013-07-30 | 2014-04-28 | PG-PAI | Si | |
| 30,007 | 2,012 | PERI1**111951 | 1951-11-24 | 67 | 12d12a8b9378b80aa1dfc6a611d99eda | Hombre | 2012-07-20 | 2012-12-18 | PG-PAB | Si | |
| 15,855 | 2,011 | PERI1**111951 | 1951-11-24 | 67 | 12d12a8b9378b80aa1dfc6a611d99eda | Hombre | 2011-05-03 | 2011-08-05 | PG-PAB | No | |
| 37,513 | 2,013 | INCO2**051980 | 1980-05-26 | 39 | 1311b0ff6ab1367a00c354007d209d59 | Mujer | 2013-03-04 | 2013-07-08 | PG-PAB | Si | |
| 2,604 | 2,010 | INCO2**051990 | 1990-05-26 | 29 | 1311b0ff6ab1367a00c354007d209d59 | Mujer | 2009-11-16 | 2010-07-22 | PG-PAB | Si | |
| 65,674 | 2,015 | FRCA1**071985 | 1985-07-24 | 34 | 137e8525aa3f79235fa8ad90913fdcbe | Hombre | 2013-06-24 | NA | PG-PAB | Si | |
| 49,659 | 2,014 | FAMU2**011975 | 1975-01-16 | 44 | 137e8525aa3f79235fa8ad90913fdcbe | Mujer | 2013-07-03 | 2014-06-01 | PG-PAI | No | |
| 21,464 | 2,012 | FRCA1**071985 | 1985-07-24 | 34 | 137e8525aa3f79235fa8ad90913fdcbe | Hombre | 2010-10-26 | 2012-04-02 | PG-PAB | Si | |
| 26,486 | 2,012 | CRNA1**091981 | 1981-09-08 | 38 | 1381abe25524f710a2e3f61f60e22071 | Hombre | 2012-01-05 | 2012-10-30 | PG-PAB | Si | |
| 14,454 | 2,011 | CRNA1**091981 | 1981-09-08 | 38 | 1381abe25524f710a2e3f61f60e22071 | Hombre | 2011-03-25 | 2011-06-02 | PG-PAI | Si | |
| 3,897 | 2,010 | CRNA1**091990 | 1990-09-08 | 29 | 1381abe25524f710a2e3f61f60e22071 | Hombre | 2010-01-25 | 2010-07-29 | PG-PAI | Si | |
| 70,975 | 2,015 | SUFU2**061969 | 1969-06-25 | 50 | 1386ef17c8ce067e2007c46845600f70 | Mujer | 2014-12-11 | 2015-11-17 | M-PAI | Si | |
| 56,774 | 2,014 | SUFU2**061968 | 1968-06-25 | 51 | 1386ef17c8ce067e2007c46845600f70 | Mujer | 2014-04-23 | 2014-06-19 | PG-PAI | Si | |
| 75,746 | 2,015 | HUMU1**101975 | 1975-10-05 | 44 | 138ad9fee2f93caf2b3800833e54449b | Hombre | 2015-04-20 | 2015-10-14 | PG-PAB | Si | |
| 56,078 | 2,014 | HUMU1**101974 | 1974-10-05 | 45 | 138ad9fee2f93caf2b3800833e54449b | Hombre | 2014-02-06 | 2014-10-30 | PG-PAB | Si | |
| 153,704 | 2,019 | SESO1**121993 | 1993-12-02 | 25 | 138cb5144cbc497bcfef4b9459c5d5ec | NA | Hombre | 2018-12-02 | NA | PG-PAB | Si |
| 25,198 | 2,012 | SESO1**011993 | 1993-01-02 | 26 | 138cb5144cbc497bcfef4b9459c5d5ec | Hombre | 2012-02-14 | 2012-06-22 | PG-PR | Si | |
| 131,652 | 2,018 | PAVA2**031982 | 1982-03-26 | 37 | 141aa6b3a261095f4cb5b2a839cbf4ad | NA | Mujer | 2017-12-01 | 2018-12-03 | M-PAI | Si |
| 96,604 | 2,016 | PAVA2**031996 | 1996-03-26 | 23 | 141aa6b3a261095f4cb5b2a839cbf4ad | Mujer | 2016-04-22 | 2016-09-26 | M-PAI | Si | |
| 88,456 | 2,016 | PAVA2**031982 | 1982-03-26 | 37 | 141aa6b3a261095f4cb5b2a839cbf4ad | Mujer | 2015-07-20 | 2016-02-01 | M-PAI | Si | |
| 49,393 | 2,014 | BECA2**051994 | 1994-05-31 | 25 | 142088e42b9fd7ad9037a16789b98438 | Mujer | 2013-06-05 | 2014-05-22 | PG-PAB | Si | |
| 34,465 | 2,013 | BECA2**051975 | 1975-05-31 | 44 | 142088e42b9fd7ad9037a16789b98438 | Mujer | 2012-11-06 | 2013-02-28 | M-PAI | Si | |
| 24,754 | 2,012 | BECA2**051975 | 1975-05-31 | 44 | 142088e42b9fd7ad9037a16789b98438 | Mujer | 2012-02-01 | 2012-06-04 | M-PAI | Si | |
| 16,775 | 2,011 | BECA2**051975 | 1975-05-31 | 44 | 142088e42b9fd7ad9037a16789b98438 | Mujer | 2011-05-30 | 2011-08-06 | PG-PAB | Si | |
| 49,524 | 2,014 | PACO1**121982 | 1982-12-30 | 36 | 142370736c6b61809104d0593d6309ef | Hombre | 2013-06-28 | 2014-11-14 | PG-PR | Si | |
| 23,040 | 2,012 | PACO1**121981 | 1981-12-30 | 37 | 142370736c6b61809104d0593d6309ef | Hombre | 2011-11-09 | 2012-10-08 | PG-PR | Si | |
| 68,908 | 2,015 | ALFL1**071976 | 1976-07-20 | 43 | 143dd47ab81411b1f4250613a31206de | Hombre | 2014-10-01 | 2015-03-31 | PG-PAB | Si | |
| 1,059 | 2,010 | ALFL1**071986 | 1986-07-20 | 33 | 143dd47ab81411b1f4250613a31206de | Hombre | 2009-10-30 | 2010-05-31 | PG-PAB | Si | |
| 150,279 | 2,019 | ALMU1**111986 | 1986-11-02 | 33 | 143e489e004ed5834abf9392f843af12 | NA | Hombre | 2018-10-29 | 2019-01-11 | PG-PAI | Si |
| 131,423 | 2,018 | ALMU1**111999 | 1999-11-02 | 20 | 143e489e004ed5834abf9392f843af12 | NA | Hombre | 2017-10-25 | 2018-01-29 | PG-PAI | Si |
| 146,492 | 2,019 | ROBE1**081993 | 1993-08-08 | 26 | 1442afec4ea457ce01a43c816e702ce0 | NA | Hombre | 2018-01-25 | 2019-01-29 | PG-PAI | Si |
| 125,831 | 2,018 | ROBE1**081983 | 1983-08-08 | 36 | 1442afec4ea457ce01a43c816e702ce0 | NA | Hombre | 2015-04-14 | 2018-01-24 | PG-PAB | Si |
| 49,889 | 2,014 | LUAL1**051968 | 1968-05-30 | 51 | 1461b64ba2e619fcb85e4b199b4b9587 | Hombre | 2013-02-25 | 2014-03-31 | PG-PAB | No | |
| 38,480 | 2,013 | LUAL1**051961 | 1961-05-30 | 58 | 1461b64ba2e619fcb85e4b199b4b9587 | Hombre | 2013-04-08 | 2013-07-01 | PG-PAB | Si | |
| 60,852 | 2,014 | JOCI1**121990 | 1990-12-05 | 28 | 146fe6f08b9a90535e819dc7be85f80f | Hombre | 2014-08-19 | 2014-11-03 | PG-PAI | Si | |
| 40,757 | 2,013 | JOCI1**121989 | 1989-12-05 | 29 | 146fe6f08b9a90535e819dc7be85f80f | Hombre | 2013-05-29 | 2013-08-22 | PG-PAI | Si | |
| 144,272 | 2,018 | ELMI2**081983 | 1983-08-05 | 36 | 14d5828aa7f49e48d11b4bb1112241bd | NA | Mujer | 2018-11-22 | 2018-12-07 | M-PR | Si |
| 136,123 | 2,018 | ELMI2**081983 | 1983-08-05 | 36 | 14d5828aa7f49e48d11b4bb1112241bd | NA | Mujer | 2018-04-10 | 2018-07-06 | M-PR | Si |
| 125,836 | 2,018 | ELMI2**081983 | 1983-08-05 | 36 | 14d5828aa7f49e48d11b4bb1112241bd | NA | Mujer | 2015-04-02 | 2018-04-09 | M-PAI | Si |
| 60,069 | 2,014 | ELMI2**081985 | 1985-08-25 | 34 | 14d5828aa7f49e48d11b4bb1112241bd | Mujer | 2014-05-29 | 2015-03-31 | PG-PAB | No | |
| 133,509 | 2,018 | ADMA2**011966 | 1966-01-17 | 53 | 151064751238f572fa656dde63058738 | NA | Mujer | 2018-01-24 | 2018-04-01 | PG-PAI | Si |
| 115,316 | 2,017 | ADMA2**011966 | 1966-01-17 | 53 | 151064751238f572fa656dde63058738 | NA | Mujer | 2017-04-03 | 2017-10-30 | PG-PAI | Si |
| 49,559 | 2,014 | ADMA1**011976 | 1976-01-17 | 43 | 151064751238f572fa656dde63058738 | Hombre | 2013-06-28 | 2014-08-14 | PG-PAB | Si | |
| 148,142 | 2,019 | ANSA2**111972 | 1972-11-13 | 47 | 154956b945b8647e2796211aaff6cda6 | NA | Mujer | 2018-07-10 | 2019-04-30 | M-PR | Si |
| 116,607 | 2,017 | ANSA2**111972 | 1972-11-13 | 46 | 154956b945b8647e2796211aaff6cda6 | NA | Mujer | 2017-05-15 | 2017-07-18 | M-PR | Si |
| 147,103 | 2,019 | MABA2**071966 | 1966-07-29 | 53 | 15573f6bc49fe5c5f0df74d3aa90b3c2 | NA | Mujer | 2018-04-06 | 2019-04-25 | M-PR | Si |
| 131,546 | 2,018 | MABA1**111999 | 1999-11-23 | 19 | 15573f6bc49fe5c5f0df74d3aa90b3c2 | NA | Hombre | 2017-11-23 | 2018-04-05 | PG-PAI | Si |
| 27,843 | 2,012 | JOSU1**051967 | 1967-05-27 | 52 | 1605910e46654123883db040fe5886c8 | Hombre | 2012-06-29 | 2012-11-30 | PG-PAI | Si | |
| 25,455 | 2,012 | JOSU1**031993 | 1993-03-01 | 26 | 1605910e46654123883db040fe5886c8 | Hombre | 2012-03-01 | 2012-06-20 | PG-PAI | No | |
| 14,327 | 2,011 | JOSU1**031967 | 1967-03-27 | 52 | 1605910e46654123883db040fe5886c8 | Hombre | 2011-03-25 | 2011-10-11 | PG-PAI | Si | |
| 12,159 | 2,011 | JOSU1**051967 | 1967-05-27 | 52 | 1605910e46654123883db040fe5886c8 | Hombre | 2010-10-29 | 2011-03-24 | PG-PAB | Si | |
| 101,394 | 2,016 | CALO1**101989 | 1989-10-21 | 30 | 160d4031da8bc68db9fd15780362fab0 | Hombre | 2016-08-16 | 2016-10-15 | PG-PR | No | |
| 79,802 | 2,015 | CALO1**111986 | 1986-11-14 | 32 | 160d4031da8bc68db9fd15780362fab0 | Hombre | 2015-07-09 | 2015-08-28 | PG-PAB | Si | |
| 125,041 | 2,017 | JOCA2**101983 | 1983-10-01 | 36 | 161811a74262bb8e591e8eef7de4915a | NA | Mujer | 2017-12-06 | 2018-01-17 | PG-PAB | Si |
| 113,599 | 2,017 | YOCA2**101993 | 1993-10-01 | 26 | 161811a74262bb8e591e8eef7de4915a | NA | Mujer | 2017-02-23 | 2017-07-24 | M-PAI | Si |
| 154,525 | 2,019 | LURU1**081995 | 1995-08-04 | 24 | 1640241e34924a4648b727eaa0daae48 | NA | Hombre | 2019-03-18 | 2019-03-23 | PG-PR | Si |
| 152,169 | 2,019 | LURU1**052000 | 2000-05-04 | 19 | 1640241e34924a4648b727eaa0daae48 | NA | Hombre | 2018-11-13 | 2019-03-15 | PG-PAI | Si |
| 43,252 | 2,013 | PABA2**021994 | 1994-02-01 | 25 | 1668a8f6cbacc175ac90a0d3fd01cef8 | Mujer | 2013-07-27 | 2013-10-17 | PG-PAI | Si | |
| 23,644 | 2,012 | PABA2**021971 | 1971-02-01 | 48 | 1668a8f6cbacc175ac90a0d3fd01cef8 | Mujer | 2012-01-03 | 2012-10-24 | PG-PAB | Si | |
| 15,173 | 2,011 | PABA2**021971 | 1971-02-01 | 48 | 1668a8f6cbacc175ac90a0d3fd01cef8 | Mujer | 2011-03-23 | 2011-10-04 | PG-PAB | Si | |
| 100,429 | 2,016 | IVCA2**061996 | 1996-06-25 | 23 | 1674f542e61902342830611652857cc2 | Mujer | 2016-05-09 | 2016-11-01 | M-PAI | Si | |
| 9,799 | 2,011 | IVCA2**061980 | 1980-06-25 | 39 | 1674f542e61902342830611652857cc2 | Mujer | 2008-06-30 | 2011-05-06 | PG-PAI | Si | |
| 141,417 | 2,018 | FEMA2**061992 | 1992-06-14 | 27 | 168c84a3e2e2f6f7bfb61bcaf3f6af03 | NA | Mujer | 2018-05-07 | 2018-11-21 | PG-PAI | Si |
| 132,149 | 2,018 | FEMA2**061999 | 1999-06-14 | 20 | 168c84a3e2e2f6f7bfb61bcaf3f6af03 | NA | Mujer | 2017-12-15 | 2018-05-01 | M-PR | Si |
| 118,752 | 2,017 | FEMA2**061992 | 1992-06-14 | 27 | 168c84a3e2e2f6f7bfb61bcaf3f6af03 | NA | Mujer | 2017-06-13 | 2017-12-11 | PG-PAI | Si |
| 93,836 | 2,016 | FEMA2**061992 | 1992-06-14 | 27 | 168c84a3e2e2f6f7bfb61bcaf3f6af03 | Mujer | 2016-02-24 | 2016-04-14 | PG-PAI | Si | |
| 162,227 | 2,019 | JOES1**111982 | 1982-11-11 | 37 | 16a3aa978349637444a560debb100cca | NA | Hombre | 2019-09-25 | NA | PG-PR | Si |
| 160,592 | 2,019 | JOES1**111982 | 1982-11-11 | 37 | 16a3aa978349637444a560debb100cca | NA | Hombre | 2019-08-01 | 2019-09-24 | PG-PAI | Si |
| 134,341 | 2,018 | JOES1**111982 | 1982-11-11 | 36 | 16a3aa978349637444a560debb100cca | NA | Hombre | 2018-02-07 | 2018-05-01 | PG-PAI | Si |
| 93,166 | 2,016 | JOES1**111982 | 1982-11-11 | 36 | 16a3aa978349637444a560debb100cca | Hombre | 2016-01-05 | 2016-05-23 | PG-PAI | Si | |
| 8,620 | 2,010 | ALBI2**061991 | 1991-06-28 | 28 | 16aa754a0cccf76646d3dc91a635aaff | Mujer | 2010-10-01 | 2011-01-28 | M-PAI | Si | |
| 4,573 | 2,010 | ALBI2**061990 | 1990-06-28 | 29 | 16aa754a0cccf76646d3dc91a635aaff | Mujer | 2010-03-25 | 2010-09-23 | M-PAI | Si | |
| 1,022 | 2,010 | ALBI2**061990 | 1990-06-28 | 29 | 16aa754a0cccf76646d3dc91a635aaff | Mujer | 2009-12-28 | 2010-03-25 | M-PR | Si | |
| 160,435 | 2,019 | VAHE2**021993 | 1993-02-02 | 26 | 16d2bbdf9ea4d7effc86e4958143fe94 | NA | Mujer | 2019-08-21 | NA | M-PR | Si |
| 126,559 | 2,018 | VAHE2**011999 | 1999-01-05 | 20 | 16d2bbdf9ea4d7effc86e4958143fe94 | NA | Mujer | 2017-01-10 | 2018-11-27 | PG-PAB | No |
| 135,681 | 2,018 | HEME1**021957 | 1957-02-27 | 62 | 170d9e644ae26eb91187177a1fb03090 | NA | Hombre | 2018-03-12 | 2018-12-31 | PG-PAB | Si |
| 21,014 | 2,012 | HEME1**021959 | 1959-02-27 | 60 | 170d9e644ae26eb91187177a1fb03090 | Hombre | 2011-02-09 | 2012-02-08 | PG-PR | Si | |
| 513 | 2,010 | HEME1**021957 | 1957-02-27 | 62 | 170d9e644ae26eb91187177a1fb03090 | Hombre | 2009-03-09 | 2010-11-03 | PG-PAB | Si | |
| 105,294 | 2,017 | PAPE1**101985 | 1985-10-21 | 34 | 1712e95471064610044ed3a94c562a4e | NA | Hombre | 2012-08-13 | 2017-04-03 | PG-PAI | Si |
| 25,406 | 2,012 | JOBA1**031980 | 1980-03-04 | 39 | 1712e95471064610044ed3a94c562a4e | Hombre | 2012-03-02 | 2012-04-12 | PG-PR | Si | |
| 131,243 | 2,018 | PEDE1**081999 | 1999-08-23 | 20 | 171c115471227457e96da1ea7c4ac577 | NA | Hombre | 2017-11-01 | 2018-06-01 | PG-PR | No |
| 115,568 | 2,017 | PEDE1**081967 | 1967-08-23 | 52 | 171c115471227457e96da1ea7c4ac577 | NA | Hombre | 2017-04-13 | 2017-10-19 | PG-PAI | Si |
| 112,761 | 2,017 | PEDE1**081967 | 1967-08-28 | 52 | 171c115471227457e96da1ea7c4ac577 | NA | Hombre | 2017-01-31 | 2017-04-12 | PG-PAB | Si |
| 36,551 | 2,013 | ANPA1**121988 | 1988-12-04 | 30 | 171fb2fa4a896b3d41368983274b77af | Hombre | 2012-12-20 | 2013-03-29 | PG-PAI | Si | |
| 23,919 | 2,012 | ANPA1**021988 | 1988-02-04 | 31 | 171fb2fa4a896b3d41368983274b77af | Hombre | 2011-12-13 | 2012-03-30 | PG-PAI | Si | |
| 78,110 | 2,015 | PAPO1**081987 | 1987-08-13 | 32 | 179778d416305f502c3d4d7fd513e38e | Hombre | 2015-06-25 | 2015-08-25 | PG-PAB | Si | |
| 48,926 | 2,014 | PAPO1**081978 | 1978-08-13 | 41 | 179778d416305f502c3d4d7fd513e38e | Hombre | 2013-05-02 | 2014-07-11 | PG-PAI | Si | |
| 23,696 | 2,012 | PAPO1**081987 | 1987-08-13 | 32 | 179778d416305f502c3d4d7fd513e38e | Hombre | 2011-12-19 | 2012-04-02 | PG-PAB | Si | |
| 152,327 | 2,019 | LORE2**031974 | 1974-03-24 | 45 | 179c6c20c71e8adbc42e6362c9d168ea | NA | Mujer | 2019-01-03 | NA | M-PR | Si |
| 132,049 | 2,018 | LORE2**031973 | 1973-03-24 | 46 | 179c6c20c71e8adbc42e6362c9d168ea | NA | Mujer | 2017-11-28 | 2018-07-04 | PG-PAI | Si |
| 42,195 | 2,013 | LORE2**031974 | 1974-03-24 | 45 | 179c6c20c71e8adbc42e6362c9d168ea | Mujer | 2013-07-24 | 2013-11-29 | PG-PAB | Si | |
| 98,360 | 2,016 | GOTO1**121981 | 1981-12-25 | 37 | 17b6f9ea6fe3b31cac059ffade9432a3 | Hombre | 2016-06-08 | 2016-10-18 | PG-PAI | Si | |
| 55,664 | 2,014 | GOTO1**101981 | 1981-10-25 | 38 | 17b6f9ea6fe3b31cac059ffade9432a3 | Hombre | 2014-03-04 | 2014-05-23 | PG-PAB | No | |
| 77,954 | 2,015 | GUPE1**041991 | 1991-04-16 | 28 | 17cd25d0ae3c19d334d39f8f1ac76746 | Hombre | 2015-06-16 | 2015-12-02 | PG-PR | Si | |
| 68,665 | 2,015 | GUPE1**041991 | 1991-04-16 | 28 | 17cd25d0ae3c19d334d39f8f1ac76746 | Hombre | 2014-09-15 | 2015-01-28 | PG-PR | Si | |
| 60,054 | 2,014 | GUPE1**041991 | 1991-04-16 | 28 | 17cd25d0ae3c19d334d39f8f1ac76746 | Hombre | 2014-07-08 | 2014-09-12 | PG-PAI | Si | |
| 54,831 | 2,014 | GUPE1**041981 | 1981-04-16 | 38 | 17cd25d0ae3c19d334d39f8f1ac76746 | Hombre | 2014-02-26 | 2014-03-18 | PG-PAI | Si | |
| 150,412 | 2,019 | CAUR2**031989 | 1989-03-29 | 30 | 18333d1ff753fabf72eda913299e1715 | NA | Mujer | 2018-10-01 | NA | PG-PAI | Si |
| 128,857 | 2,018 | CAUR2**031983 | 1983-03-29 | 36 | 18333d1ff753fabf72eda913299e1715 | NA | Mujer | 2017-08-07 | 2018-01-11 | M-PR | Si |
| 42,666 | 2,013 | CAUR2**031989 | 1989-03-29 | 30 | 18333d1ff753fabf72eda913299e1715 | Mujer | 2013-07-31 | 2014-01-02 | PG-PAI | Si | |
| 79,715 | 2,015 | KAVE2**091979 | 1979-09-06 | 40 | 1841bf8ef08d4a970ee496ccc5b5fd79 | Mujer | 2015-07-29 | 2015-08-26 | PG-PAI | Si | |
| 32,452 | 2,013 | KAVE2**091976 | 1976-09-06 | 43 | 1841bf8ef08d4a970ee496ccc5b5fd79 | Mujer | 2012-01-02 | 2013-02-22 | PG-PAI | Si | |
| 15,913 | 2,011 | KAVE2**091976 | 1976-09-06 | 43 | 1841bf8ef08d4a970ee496ccc5b5fd79 | Mujer | 2011-05-09 | 2011-12-19 | PG-PAI | Si | |
| 11,136 | 2,011 | KAVE2**091979 | 1979-09-06 | 40 | 1841bf8ef08d4a970ee496ccc5b5fd79 | Mujer | 2010-08-05 | 2011-04-29 | M-PR | Si | |
| 94,802 | 2,016 | VASI2**081984 | 1984-08-18 | 35 | 1854e7e9a4b17f2c6124ccc1a0cfad0c | Mujer | 2016-03-04 | 2016-08-31 | M-PR | Si | |
| 91,818 | 2,016 | VHSI2**081984 | 1984-08-18 | 35 | 1854e7e9a4b17f2c6124ccc1a0cfad0c | Mujer | 2015-12-14 | 2016-02-08 | M-PR | Si | |
| 82,929 | 2,015 | VHSI2**081985 | 1985-08-18 | 34 | 1854e7e9a4b17f2c6124ccc1a0cfad0c | Mujer | 2015-10-26 | 2015-12-11 | PG-PAI | Si | |
| 153,870 | 2,019 | ENES1**051985 | 1985-05-18 | 34 | 18576d4354398a09dfaaff7368984ea5 | NA | Hombre | 2018-11-15 | 2019-05-16 | PG-PAI | Si |
| 136,907 | 2,018 | ENES1**051985 | 1985-05-18 | 34 | 18576d4354398a09dfaaff7368984ea5 | NA | Hombre | 2018-03-21 | 2018-10-01 | PG-PAI | Si |
| 94,769 | 2,016 | ENES1**051985 | 1985-05-18 | 34 | 18576d4354398a09dfaaff7368984ea5 | Hombre | 2016-02-26 | 2016-04-11 | PG-PAI | Si | |
| 83,838 | 2,015 | ENES1**051985 | 1985-05-18 | 34 | 18576d4354398a09dfaaff7368984ea5 | Hombre | 2015-10-30 | 2016-01-04 | PG-PAI | Si | |
| 74,176 | 2,015 | ENES1**051995 | 1995-05-18 | 24 | 18576d4354398a09dfaaff7368984ea5 | Hombre | 2015-03-11 | 2015-09-04 | PG-PR | Si | |
| 71,471 | 2,015 | ENES1**051985 | 1985-05-18 | 34 | 18576d4354398a09dfaaff7368984ea5 | Hombre | 2014-11-26 | 2015-03-20 | PG-PAB | Si | |
| 85,389 | 2,016 | CENA2**011964 | 1964-01-19 | 55 | 186f10e20a7009fd8aede63ef46468ab | Mujer | 2013-05-06 | 2016-03-04 | PG-PAB | Si | |
| 15,303 | 2,011 | CEEL2**011974 | 1974-01-19 | 45 | 186f10e20a7009fd8aede63ef46468ab | Mujer | 2011-04-18 | 2011-07-04 | M-PAB | Si | |
| 3,135 | 2,010 | CENA2**011979 | 1979-01-19 | 40 | 186f10e20a7009fd8aede63ef46468ab | Mujer | 2009-08-24 | 2010-03-31 | M-PAB | Si | |
| 75,684 | 2,015 | MAME1**011977 | 1977-01-18 | 42 | 1892a4e37b73923f99b92e72845a7e23 | Hombre | 2015-04-20 | 2015-07-27 | Otro | No | |
| 46,675 | 2,013 | MAME1**111977 | 1977-11-18 | 41 | 1892a4e37b73923f99b92e72845a7e23 | Hombre | 2013-11-21 | 2014-04-04 | PG-PAB | Si | |
| 39,555 | 2,013 | MAME1**011977 | 1977-01-18 | 42 | 1892a4e37b73923f99b92e72845a7e23 | Hombre | 2013-05-20 | 2013-09-13 | PG-PAB | Si | |
| 70,619 | 2,015 | CLMO1**121971 | 1971-12-18 | 47 | 1892eceef01e80ee17816254777aefe6 | Hombre | 2014-12-01 | 2015-05-28 | PG-PAB | Si | |
| 48,222 | 2,014 | CLMO1**121972 | 1972-12-18 | 46 | 1892eceef01e80ee17816254777aefe6 | Hombre | 2013-01-28 | 2014-03-21 | PG-PR | Si | |
| 69,340 | 2,015 | ERLE1**061990 | 1990-06-24 | 29 | 18b66895564d34d31ac9d67d27a65e6c | Hombre | 2014-10-16 | 2015-04-01 | PG-PAI | No | |
| 51,445 | 2,014 | ESLE1**061992 | 1992-06-24 | 27 | 18b66895564d34d31ac9d67d27a65e6c | Hombre | 2013-10-03 | 2014-03-19 | PG-PAI | Si | |
| 16,930 | 2,011 | ERLE1**061992 | 1992-06-24 | 27 | 18b66895564d34d31ac9d67d27a65e6c | Hombre | 2011-06-02 | 2011-11-09 | PG-PAB | Si | |
| 161,095 | 2,019 | FAZA2**111969 | 1969-11-10 | 50 | 18e60c425918fcb7f265ebdc8602e894 | NA | Mujer | 2019-08-01 | NA | M-PAI | Si |
| 89,715 | 2,016 | FAZA2**111969 | 1969-11-10 | 49 | 18e60c425918fcb7f265ebdc8602e894 | Mujer | 2015-09-07 | 2016-01-20 | M-PAI | Si | |
| 18,029 | 2,011 | FAZA2**071992 | 1992-07-07 | 27 | 18e60c425918fcb7f265ebdc8602e894 | Mujer | 2011-07-07 | 2011-11-28 | M-PAI | Si | |
| 147,459 | 2,019 | ALVA1**111967 | 1967-11-10 | 52 | 1928f9cb2b469eb85cef5e2e5108b96a | NA | Hombre | 2018-04-02 | 2019-03-29 | PG-PAB | Si |
| 44,591 | 2,013 | ALVA1**111967 | 1967-11-10 | 51 | 1928f9cb2b469eb85cef5e2e5108b96a | Hombre | 2013-09-02 | 2014-01-31 | PG-PAB | Si | |
| 157,115 | 2,019 | VIRO1**111980 | 1980-11-02 | 39 | 1932d5044fd3514c8ddafd2d6d860b2c | NA | Hombre | 2019-05-27 | 2019-06-17 | PG-PR | Si |
| 146,424 | 2,019 | VIRO1**051983 | 1983-05-10 | 36 | 1932d5044fd3514c8ddafd2d6d860b2c | NA | Hombre | 2017-12-14 | 2019-01-07 | PG-PR | Si |
| 72,209 | 2,015 | VIRO1**111980 | 1980-11-02 | 39 | 1932d5044fd3514c8ddafd2d6d860b2c | Hombre | 2014-12-19 | 2015-05-04 | PG-PAI | Si | |
| 51,532 | 2,014 | JORA1**071981 | 1981-07-02 | 38 | 19353a32380a16308633e1acfed8c5d7 | Hombre | 2013-10-21 | 2014-04-07 | PG-PR | Si | |
| 43,166 | 2,013 | JORI1**071981 | 1981-07-02 | 38 | 19353a32380a16308633e1acfed8c5d7 | Hombre | 2013-08-06 | 2013-10-18 | PG-PAI | No | |
| 40,796 | 2,013 | JORI1**071987 | 1987-07-02 | 32 | 19353a32380a16308633e1acfed8c5d7 | Hombre | 2013-06-06 | 2013-07-29 | PG-PR | Si | |
| 143,326 | 2,018 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | NA | Mujer | 2018-10-01 | 2018-11-01 | M-PR | No |
| 140,793 | 2,018 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | NA | Mujer | 2018-08-10 | 2018-10-08 | M-PR | No |
| 138,798 | 2,018 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | NA | Mujer | 2018-06-01 | 2018-08-10 | PG-PAI | Si |
| 134,030 | 2,018 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | NA | Mujer | 2018-02-23 | 2018-02-28 | M-PR | Si |
| 81,589 | 2,015 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2015-08-25 | 2015-11-02 | M-PR | Si | |
| 53,083 | 2,014 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2014-01-13 | 2014-05-07 | M-PR | Si | |
| 37,849 | 2,013 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2013-02-28 | 2013-03-15 | M-PR | Si | |
| 18,039 | 2,011 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2011-08-01 | 2012-06-01 | PG-PAI | Si | |
| 17,204 | 2,011 | SATA2**091980 | 1980-09-30 | 39 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2011-07-12 | 2011-08-01 | M-PR | Si | |
| 16,885 | 2,011 | SATA2**071981 | 1981-07-08 | 38 | 194ede637725cb3bde3c34d6723cb24d | Mujer | 2011-06-03 | 2011-07-12 | PG-PAI | Si | |
| 33,474 | 2,013 | KARO2**091987 | 1987-09-12 | 32 | 197c2d0dfff5ee73358cdffe541524cb | Mujer | 2012-07-02 | 2013-05-08 | PG-PAB | Si | |
| 576 | 2,010 | KALE2**071982 | 1982-07-06 | 37 | 197c2d0dfff5ee73358cdffe541524cb | Mujer | 2010-01-20 | 2010-02-25 | PG-PAB | Si | |
| 113,992 | 2,017 | ROGA1**091995 | 1995-09-29 | 24 | 1994c7cd806a0ccf1f2457e81c2593cd | NA | Hombre | 2017-02-16 | 2017-07-01 | PG-PAB | Si |
| 68,274 | 2,015 | ROGA1**091975 | 1975-09-29 | 44 | 1994c7cd806a0ccf1f2457e81c2593cd | Hombre | 2014-08-25 | 2015-03-31 | PG-PR | Si | |
| 70,672 | 2,015 | VIBR1**101989 | 1989-10-07 | 30 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2014-11-18 | 2015-08-31 | PG-PR | Si | |
| 58,207 | 2,014 | VIBR1**101988 | 1988-10-07 | 31 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2014-05-29 | 2014-11-14 | PG-PAB | Si | |
| 44,039 | 2,013 | VIBR1**101989 | 1989-10-07 | 30 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2013-09-05 | 2013-11-04 | PG-PR | No | |
| 39,190 | 2,013 | VIBR1**101989 | 1989-10-07 | 30 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2013-04-18 | 2013-08-06 | PG-PR | Si | |
| 23,835 | 2,012 | VIBR1**101989 | 1989-10-07 | 30 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2012-01-26 | 2012-05-30 | PG-PR | Si | |
| 2,993 | 2,010 | VIBR1**101989 | 1989-10-07 | 30 | 19cdcec84063ed53c367aa9753e0f0a1 | Hombre | 2010-01-21 | 2010-03-01 | PG-PR | Si | |
| 40,325 | 2,013 | CAPE2**021974 | 1974-02-12 | 45 | 19d3c983541ed4ae6974cb2d0cd49b60 | Mujer | 2013-04-13 | 2014-01-29 | PG-PAI | Si | |
| 14,871 | 2,011 | CAPE2**121974 | 1974-12-02 | 44 | 19d3c983541ed4ae6974cb2d0cd49b60 | Mujer | 2011-03-14 | 2011-06-30 | M-PAI | Si | |
| 122,571 | 2,017 | RIOL1**021991 | 1991-02-26 | 28 | 19dc4aa15226f6f338a15804a8277d73 | NA | Hombre | 2017-09-22 | 2017-11-28 | PG-PAI | Si |
| 114,855 | 2,017 | RIOL1**111991 | 1991-11-26 | 27 | 19dc4aa15226f6f338a15804a8277d73 | NA | Hombre | 2017-03-07 | 2017-09-04 | PG-PR | Si |
| 92,803 | 2,016 | MAVA2**011996 | 1996-01-20 | 23 | 1a69f8e5d979a33458be113c163f21c6 | Mujer | 2016-01-20 | 2016-03-03 | PG-PAB | Si | |
| 88,228 | 2,016 | MAVA2**071984 | 1984-07-07 | 35 | 1a69f8e5d979a33458be113c163f21c6 | Mujer | 2015-07-15 | 2016-01-15 | M-PR | Si | |
| 70,151 | 2,015 | MAVA2**071984 | 1984-07-07 | 35 | 1a69f8e5d979a33458be113c163f21c6 | Mujer | 2014-11-10 | 2015-04-02 | M-PR | Si | |
| 57,763 | 2,014 | MAVA2**071984 | 1984-07-07 | 35 | 1a69f8e5d979a33458be113c163f21c6 | Mujer | 2014-03-28 | 2014-11-14 | PG-PAI | Si | |
| 40,172 | 2,013 | MAVA2**071985 | 1985-07-07 | 34 | 1a69f8e5d979a33458be113c163f21c6 | Mujer | 2013-05-08 | 2013-08-23 | PG-PAI | Si | |
| 119,000 | 2,017 | ROAL1**081979 | 1979-08-12 | 40 | 1a779229bebf03c974f4166a53e95ad2 | NA | Hombre | 2017-06-20 | 2018-01-02 | PG-PAB | Si |
| 107,417 | 2,017 | ROAL1**081978 | 1978-08-12 | 41 | 1a779229bebf03c974f4166a53e95ad2 | NA | Hombre | 2016-05-24 | 2017-02-01 | PG-PAB | Si |
| 90,503 | 2,016 | ROAL1**081979 | 1979-08-12 | 40 | 1a779229bebf03c974f4166a53e95ad2 | Hombre | 2015-10-26 | 2016-04-29 | PG-PAB | Si | |
| 152,883 | 2,019 | MAES1**111971 | 1971-11-06 | 48 | 1a87fff38e00f68f33deb06f0ba220d4 | NA | Hombre | 2019-01-23 | 2019-09-24 | PG-PR | Si |
| 113,216 | 2,017 | MAES1**111971 | 1971-11-06 | 47 | 1a87fff38e00f68f33deb06f0ba220d4 | NA | Hombre | 2017-01-19 | 2017-04-03 | PG-PAB | Si |
| 111,327 | 2,017 | MAES1**111971 | 1971-11-06 | 47 | 1a87fff38e00f68f33deb06f0ba220d4 | NA | Hombre | 2016-12-19 | 2017-01-06 | PG-PR | Si |
| 48,022 | 2,014 | MAES1**111971 | 1971-11-06 | 47 | 1a87fff38e00f68f33deb06f0ba220d4 | Hombre | 2011-01-04 | 2014-09-15 | PG-PAB | Si | |
| 22,228 | 2,012 | MAES1**111971 | 1971-11-06 | 47 | 1a87fff38e00f68f33deb06f0ba220d4 | Hombre | 2011-01-04 | 2012-07-11 | PG-PAI | Si | |
| 150,792 | 2,019 | MIVE1**111985 | 1985-11-13 | 34 | 1ab34b3471f8aa4b90b9fea68f925f22 | NA | Hombre | 2018-11-01 | NA | PG-PAI | Si |
| 119,890 | 2,017 | MIVE1**111985 | 1985-11-13 | 33 | 1ab34b3471f8aa4b90b9fea68f925f22 | NA | Hombre | 2017-07-14 | 2017-08-31 | PG-PAB | Si |
| 73,622 | 2,015 | MACA1**071979 | 1979-07-16 | 40 | 1ad6609a1db2453b497ba639653f575e | Hombre | 2015-03-10 | 2015-06-30 | PG-PAI | Si | |
| 68,602 | 2,015 | NISO1**041987 | 1987-04-03 | 32 | 1ad6609a1db2453b497ba639653f575e | Hombre | 2014-09-11 | 2015-02-03 | PG-PR | Si | |
| 41,145 | 2,013 | CACH1**051967 | 1967-05-25 | 52 | 1b4da502287d8852e18d26573e308b0e | Hombre | 2013-06-10 | 2013-08-21 | PG-PAB | Si | |
| 34,688 | 2,013 | CACH1**111967 | 1967-11-13 | 51 | 1b4da502287d8852e18d26573e308b0e | Hombre | 2012-11-13 | 2013-03-13 | PG-PAB | Si | |
| 13,983 | 2,011 | JASA2**051976 | 1976-05-03 | 43 | 1b59e62ebd06769d773df3bfaaa76820 | Mujer | 2011-02-24 | 2011-06-07 | M-PAB | Si | |
| 10,331 | 2,011 | JASA2**051973 | 1973-05-03 | 46 | 1b59e62ebd06769d773df3bfaaa76820 | Mujer | 2010-03-29 | 2011-03-02 | M-PR | No | |
| 1,281 | 2,010 | YASA2**071976 | 1976-07-10 | 43 | 1b59e62ebd06769d773df3bfaaa76820 | Mujer | 2009-12-23 | 2010-05-03 | PG-PAB | Si | |
| 159,103 | 2,019 | LURO1**091967 | 1967-09-15 | 52 | 1b5a6a6195d162fcc5ed1a9f57ba4fee | NA | Hombre | 2019-02-18 | NA | PG-PR | Si |
| 147,644 | 2,019 | LURO1**091967 | 1967-09-15 | 52 | 1b5a6a6195d162fcc5ed1a9f57ba4fee | NA | Hombre | 2018-05-16 | 2019-01-25 | PG-PAB | Si |
| 77,402 | 2,015 | LURO1**101968 | 1968-10-16 | 51 | 1b5a6a6195d162fcc5ed1a9f57ba4fee | Hombre | 2015-06-01 | 2015-09-01 | PG-PAI | Si | |
| 113,629 | 2,017 | LEDE1**091982 | 1982-09-17 | 37 | 1b98300863c94cc61ed0371257e23dbf | NA | Hombre | 2017-01-25 | 2017-09-29 | PG-PAI | Si |
| 57,819 | 2,014 | LEDE1**091983 | 1983-09-17 | 36 | 1b98300863c94cc61ed0371257e23dbf | Hombre | 2014-05-20 | 2014-08-01 | PG-PR | Si | |
| 53,566 | 2,014 | LEDE1**091982 | 1982-09-17 | 37 | 1b98300863c94cc61ed0371257e23dbf | Hombre | 2014-01-15 | 2014-05-27 | PG-PAI | Si | |
| 95,193 | 2,016 | ALVA1**041986 | 1986-04-04 | 33 | 1c01fcec01dedc3cc3537df2b21065a6 | Hombre | 2016-03-14 | 2016-05-23 | PG-PR | Si | |
| 78,715 | 2,015 | ALVA1**041983 | 1983-04-13 | 36 | 1c01fcec01dedc3cc3537df2b21065a6 | Hombre | 2015-07-07 | 2015-10-29 | PG-PR | Si | |
| 73,734 | 2,015 | ALVA1**041986 | 1986-04-13 | 33 | 1c01fcec01dedc3cc3537df2b21065a6 | Hombre | 2015-03-02 | 2015-05-29 | PG-PAI | Si | |
| 25,859 | 2,012 | ALVA1**041986 | 1986-04-13 | 33 | 1c01fcec01dedc3cc3537df2b21065a6 | Hombre | 2012-03-05 | 2012-09-27 | PG-PAI | Si | |
| 140,187 | 2,018 | PAHE2**021986 | 1986-02-16 | 33 | 1c19a27d205a7e8c8eca6460dd7f907e | NA | Mujer | 2018-07-19 | 2018-12-03 | M-PAI | Si |
| 100,058 | 2,016 | PAHE2**021986 | 1986-02-19 | 33 | 1c19a27d205a7e8c8eca6460dd7f907e | Mujer | 2016-07-21 | 2016-12-02 | PG-PAI | Si | |
| 69,999 | 2,015 | PAHE2**021996 | 1996-02-16 | 23 | 1c19a27d205a7e8c8eca6460dd7f907e | Mujer | 2014-11-03 | 2015-04-29 | PG-PAI | Si | |
| 161,553 | 2,019 | JAAR1**051967 | 1967-05-22 | 52 | 1c1fc871340054bcdc73e3e6041571f7 | NA | Hombre | 2019-09-02 | NA | PG-PAB | Si |
| 128,008 | 2,018 | JAAR1**051966 | 1966-05-22 | 53 | 1c1fc871340054bcdc73e3e6041571f7 | NA | Hombre | 2017-06-14 | 2018-03-20 | PG-PAB | Si |
| 89,939 | 2,016 | JAAR1**051967 | 1967-05-22 | 52 | 1c1fc871340054bcdc73e3e6041571f7 | Hombre | 2015-10-07 | 2016-08-01 | PG-PAB | Si | |
| 153,301 | 2,019 | MALA1**121973 | 1973-12-19 | 45 | 1c6bfb0dbed7ee743be110463fd00c52 | NA | Hombre | 2019-02-01 | 2019-02-25 | PG-PR | Si |
| 111,413 | 2,017 | MALA1**121976 | 1976-12-19 | 42 | 1c6bfb0dbed7ee743be110463fd00c52 | NA | Hombre | 2016-12-20 | 2017-04-14 | PG-PR | Si |
| 139,322 | 2,018 | ALSA1**121993 | 1993-12-13 | 25 | 1c88adc113cf12e6cf375fdce85fa925 | NA | Hombre | 2018-04-13 | 2018-08-02 | PG-PR | Si |
| 26,543 | 2,012 | ALSA1**121992 | 1992-12-13 | 26 | 1c88adc113cf12e6cf375fdce85fa925 | Hombre | 2012-02-08 | 2013-01-31 | PG-PAB | Si | |
| 98,831 | 2,016 | MAME2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2016-06-01 | 2016-12-31 | M-PAI | Si | |
| 87,125 | 2,016 | MAME2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2015-04-28 | 2016-05-31 | M-PR | Si | |
| 53,496 | 2,014 | MAME2**081966 | 1966-08-13 | 53 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2014-01-28 | 2014-11-10 | PG-PAB | Si | |
| 40,205 | 2,013 | MAME2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2013-05-24 | 2013-12-13 | M-PR | Si | |
| 35,003 | 2,013 | MAME2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2012-11-20 | 2013-05-29 | PG-PAB | Si | |
| 28,755 | 2,012 | MAME2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2012-07-18 | 2012-11-20 | PG-PAB | Si | |
| 21,526 | 2,012 | MANE2**061975 | 1975-06-03 | 44 | 1ca6c5d4f199ff060002b7c80b6f8c5e | Mujer | 2011-06-16 | 2012-04-02 | PG-PAB | Si | |
| 58,365 | 2,014 | MAHU1**021978 | 1978-02-20 | 41 | 1d052439f8a938a1059e8fbe9dc6462f | Hombre | 2014-05-20 | 2014-09-01 | PG-PAI | Si | |
| 45,967 | 2,013 | MAHU1**121978 | 1978-12-20 | 40 | 1d052439f8a938a1059e8fbe9dc6462f | Hombre | 2013-10-24 | 2013-11-29 | PG-PAI | Si | |
| 27,639 | 2,012 | MAPO1**111972 | 1972-11-10 | 46 | 1d18ddb50249650212bb09174386d5e7 | Hombre | 2012-06-11 | 2012-11-15 | PG-PAI | Si | |
| 16,000 | 2,011 | MAPO1**101972 | 1972-10-11 | 47 | 1d18ddb50249650212bb09174386d5e7 | Hombre | 2011-05-19 | 2011-12-30 | PG-PAI | Si | |
| 146,160 | 2,019 | JOMI1**071973 | 1973-07-06 | 46 | 1d4e54104a0617ec025902e8916c6179 | NA | Hombre | 2017-09-12 | 2019-03-01 | PG-PAI | Si |
| 21,922 | 2,012 | JOMI1**081974 | 1974-08-21 | 45 | 1d4e54104a0617ec025902e8916c6179 | Hombre | 2011-04-15 | 2012-07-27 | PG-PAB | Si | |
| 51,146 | 2,014 | MYQU2**071982 | 1982-07-06 | 37 | 1d5329981a16782c78c4edaf86631a4b | Mujer | 2013-09-09 | 2015-01-29 | PG-PAB | Si | |
| 35,207 | 2,013 | MYQU2**071993 | 1993-07-06 | 26 | 1d5329981a16782c78c4edaf86631a4b | Mujer | 2012-10-30 | 2013-05-30 | M-PAI | Si | |
| 26,995 | 2,012 | MYQU2**071982 | 1982-07-06 | 37 | 1d5329981a16782c78c4edaf86631a4b | Mujer | 2012-04-30 | 2012-11-05 | M-PAI | Si | |
| 3,057 | 2,010 | MYQU2**071982 | 1982-07-06 | 37 | 1d5329981a16782c78c4edaf86631a4b | Mujer | 2009-07-06 | 2010-02-01 | M-PAI | Si | |
| 29,037 | 2,012 | 12G10**61993 | 1993-06-03 | 26 | 1d53b9a82ab4fbc0e6cfa109d664eb51 | Hombre | 2012-08-20 | 2013-01-15 | Otro | No | |
| 25,303 | 2,012 | RAPO1**031941 | 1941-03-06 | 78 | 1d53b9a82ab4fbc0e6cfa109d664eb51 | Hombre | 2012-03-19 | NA | PG-PAI | No | |
| 161,305 | 2,019 | ALMO1**111974 | 1974-11-10 | 45 | 1d6cb2242c2dc406d1c373698e6f7ecc | NA | Hombre | 2019-08-05 | NA | PG-PAI | Si |
| 16,796 | 2,011 | ALMO1**111974 | 1974-11-10 | 44 | 1d6cb2242c2dc406d1c373698e6f7ecc | Hombre | 2011-05-27 | 2011-09-09 | PG-PAB | Si | |
| 134,863 | 2,018 | JHOR1**121968 | 1968-12-24 | 50 | 1dec5ae709d7bafb0c31156034fde37c | NA | Hombre | 2018-03-05 | 2018-12-11 | PG-PR | Si |
| 110,663 | 2,017 | JOOR1**101968 | 1968-10-24 | 51 | 1dec5ae709d7bafb0c31156034fde37c | NA | Hombre | 2016-11-25 | 2017-11-14 | PG-PR | Si |
| 158,423 | 2,019 | OMVA1**111974 | 1974-11-08 | 45 | 1e0a560eb027e3841528cbcf901b47a6 | NA | Hombre | 2019-06-10 | NA | PG-PAI | Si |
| 149,322 | 2,019 | OMVA1**111974 | 1974-11-08 | 45 | 1e0a560eb027e3841528cbcf901b47a6 | NA | Hombre | 2018-08-31 | 2019-01-28 | PG-PAI | Si |
| 130,306 | 2,018 | OMVA1**111974 | 1974-11-08 | 44 | 1e0a560eb027e3841528cbcf901b47a6 | NA | Hombre | 2017-10-20 | 2018-07-30 | PG-PAI | Si |
| 158,003 | 2,019 | JEEC1**111992 | 1992-11-09 | 27 | 1e26815e8872fc9df6572ccdd5162823 | NA | Hombre | 2019-06-03 | 2019-08-21 | PG-PAI | Si |
| 110,112 | 2,017 | JEEC1**111992 | 1992-11-09 | 26 | 1e26815e8872fc9df6572ccdd5162823 | NA | Hombre | 2016-10-29 | 2017-01-31 | PG-PAI | Si |
| 101,677 | 2,016 | JEEC1**111992 | 1992-11-09 | 26 | 1e26815e8872fc9df6572ccdd5162823 | Hombre | 2015-11-19 | 2016-10-28 | PG-PAI | No | |
| 44,188 | 2,013 | JEEC1**111992 | 1992-11-20 | 26 | 1e26815e8872fc9df6572ccdd5162823 | Hombre | 2013-09-24 | 2014-05-20 | PG-PAI | Si | |
| 91,893 | 2,016 | RONA1**051975 | 1975-05-22 | 44 | 1e2990d8ded5194b5cd5818e803da688 | Hombre | 2015-12-16 | 2016-04-13 | PG-PR | Si | |
| 79,350 | 2,015 | RONA1**051973 | 1973-05-22 | 46 | 1e2990d8ded5194b5cd5818e803da688 | Hombre | 2015-06-23 | 2015-12-16 | PG-PAI | Si | |
| 111,787 | 2,017 | JAYA1**101968 | 1968-10-08 | 51 | 1e301586e8fbd2534c2ef598f5a6398e | NA | Hombre | 2017-01-25 | 2017-10-10 | PG-PR | Si |
| 71,909 | 2,015 | JAYA1**101968 | 1968-10-08 | 51 | 1e301586e8fbd2534c2ef598f5a6398e | Hombre | 2014-12-26 | 2015-06-09 | PG-PR | Si | |
| 21,230 | 2,012 | JAYA1**101991 | 1991-10-08 | 28 | 1e301586e8fbd2534c2ef598f5a6398e | Hombre | 2011-04-26 | 2012-05-03 | PG-PR | Si | |
| 152,202 | 2,019 | JOGA1**041996 | 1996-04-02 | 23 | 1e48a21972404efc7c2d5ffc6bc3b709 | NA | Hombre | 2019-01-03 | 2019-03-21 | PG-PR | No |
| 129,338 | 2,018 | JOGA1**041995 | 1995-04-02 | 24 | 1e48a21972404efc7c2d5ffc6bc3b709 | NA | Hombre | 2017-09-10 | 2018-03-06 | PG-PR | No |
| 33,365 | 2,013 | RILA1**071993 | 1993-07-19 | 26 | 1e59e121badc527adfd661a635970464 | Hombre | 2012-07-17 | 2013-07-24 | PG-PAB | Si | |
| 10,851 | 2,011 | RILA1**061966 | 1966-06-19 | 53 | 1e59e121badc527adfd661a635970464 | Hombre | 2010-07-07 | 2011-11-29 | PG-PAB | Si | |
| 150,903 | 2,019 | FLFA2**111963 | 1963-11-09 | 56 | 1e748fa975e8b6e3d5f9995509b7f54b | NA | Mujer | 2018-11-14 | 2019-09-30 | PG-PAI | Si |
| 134,399 | 2,018 | FLFA2**111966 | 1966-11-09 | 52 | 1e748fa975e8b6e3d5f9995509b7f54b | NA | Mujer | 2018-02-27 | 2018-10-11 | M-PR | Si |
| 130,247 | 2,018 | FLFA2**111966 | 1966-11-09 | 52 | 1e748fa975e8b6e3d5f9995509b7f54b | NA | Mujer | 2017-10-02 | 2018-02-26 | M-PAI | Si |
| 32,212 | 2,013 | FLFA2**111966 | 1966-11-09 | 52 | 1e748fa975e8b6e3d5f9995509b7f54b | Mujer | 2011-07-01 | 2013-01-14 | M-PAB | Si | |
| 10,720 | 2,011 | FLFA2**111966 | 1966-11-09 | 52 | 1e748fa975e8b6e3d5f9995509b7f54b | Mujer | 2010-06-16 | 2011-06-30 | M-PAI | Si | |
| 89,595 | 2,016 | YUSA2**071981 | 1981-07-30 | 38 | 1e85af6efee9c32f54ce6963bf1b406f | Mujer | 2015-09-10 | 2016-03-31 | M-PAI | Si | |
| 78,605 | 2,015 | YUSA2**061977 | 1977-06-18 | 42 | 1e85af6efee9c32f54ce6963bf1b406f | Mujer | 2015-06-02 | 2015-08-31 | M-PR | Si | |
| 112,255 | 2,017 | CRNA1**081982 | 1982-08-29 | 37 | 1eaf0e03d7b0b8180279ba9130fe2228 | NA | Hombre | 2017-01-16 | 2017-07-20 | PG-PR | Si |
| 90,026 | 2,016 | CRNA1**081982 | 1982-08-29 | 37 | 1eaf0e03d7b0b8180279ba9130fe2228 | Hombre | 2015-10-23 | 2016-04-04 | PG-PAB | Si | |
| 37,455 | 2,013 | CRNA1**081981 | 1981-08-29 | 38 | 1eaf0e03d7b0b8180279ba9130fe2228 | Hombre | 2013-03-05 | 2013-10-11 | PG-PAI | Si | |
| 129,827 | 2,018 | JOPE2**111995 | 1995-11-30 | 23 | 1f079cb96e5d1ab782a8eefd2a9189c6 | NA | Mujer | 2017-09-21 | 2018-03-01 | PG-PAI | Si |
| 119,312 | 2,017 | JOPE2**101995 | 1995-10-30 | 24 | 1f079cb96e5d1ab782a8eefd2a9189c6 | NA | Mujer | 2017-07-10 | 2017-09-20 | PG-PAB | Si |
| 138,180 | 2,018 | MAZU1**031986 | 1986-03-02 | 33 | 1f5525960385e3bd4c3c5bc3df758b54 | NA | Hombre | 2018-05-08 | 2018-10-01 | PG-PAI | Si |
| 134,445 | 2,018 | MAZU1**031986 | 1986-03-02 | 33 | 1f5525960385e3bd4c3c5bc3df758b54 | NA | Hombre | 2018-02-15 | 2018-05-05 | PG-PR | Si |
| 131,796 | 2,018 | MAZU1**031987 | 1987-03-02 | 32 | 1f5525960385e3bd4c3c5bc3df758b54 | NA | Hombre | 2017-11-28 | 2018-02-14 | PG-PAI | Si |
| 106,095 | 2,017 | SAAR2**111972 | 1972-11-06 | 46 | 1fffc8b4ec8bff31c76f13ed1c1064d4 | NA | Mujer | 2015-11-12 | 2017-06-01 | M-PAI | Si |
| 16,425 | 2,011 | SAAR2**061972 | 1972-06-06 | 47 | 1fffc8b4ec8bff31c76f13ed1c1064d4 | Mujer | 2011-05-10 | 2011-10-28 | PG-PAB | Si | |
| 17,496 | 2,011 | EURA1**051992 | 1992-05-01 | 27 | 20d838c2390d0ee14fa186048b106ee9 | Hombre | 2011-07-01 | 2011-09-30 | PG-PAB | Si | |
| 3,537 | 2,010 | EURA1**051956 | 1956-05-01 | 63 | 20d838c2390d0ee14fa186048b106ee9 | Hombre | 2009-08-20 | 2010-10-15 | PG-PAI | Si | |
| 4,838 | 2,010 | ALCO1**031961 | 1961-03-21 | 58 | 20da5159a9482b4f2b91fdc7c486c6e7 | Hombre | 2009-12-02 | 2010-04-09 | PG-PAI | Si | |
| 654 | 2,010 | ALCO1**031967 | 1967-03-21 | 52 | 20da5159a9482b4f2b91fdc7c486c6e7 | Hombre | 2009-12-01 | 2010-04-09 | PG-PAI | Si | |
| 154,980 | 2,019 | INMA2**011988 | 1988-01-05 | 31 | 2119e252ca5a211df4695592816f84f8 | NA | Mujer | 2019-03-15 | NA | PG-PAB | Si |
| 145,855 | 2,019 | INMA2**011999 | 1999-01-05 | 20 | 2119e252ca5a211df4695592816f84f8 | NA | Mujer | 2017-03-09 | 2019-02-28 | PG-PAI | Si |
| 109,812 | 2,017 | JAMA1**081969 | 1969-08-03 | 50 | 211bfd71f14d17d6d6fd842383c4525d | NA | Hombre | 2016-10-21 | 2017-02-01 | PG-PAI | Si |
| 1,425 | 2,010 | JAMA1**081963 | 1963-08-03 | 56 | 211bfd71f14d17d6d6fd842383c4525d | Hombre | 2009-11-05 | 2010-01-18 | PG-PAI | Si | |
| 156,233 | 2,019 | JOAL1**031967 | 1967-03-12 | 52 | 2159404d11101f9023b25954413d8ac8 | NA | Hombre | 2019-04-18 | 2019-05-13 | PG-PAB | Si |
| 137,359 | 2,018 | JOAL1**031967 | 1967-03-12 | 52 | 2159404d11101f9023b25954413d8ac8 | NA | Hombre | 2018-05-04 | 2018-07-13 | PG-PAB | Si |
| 73,153 | 2,015 | JOAL1**031966 | 1966-03-12 | 53 | 2159404d11101f9023b25954413d8ac8 | Hombre | 2015-02-06 | 2015-04-29 | PG-PAB | Si | |
| 61,524 | 2,014 | JOAL1**031967 | 1967-03-12 | 52 | 2159404d11101f9023b25954413d8ac8 | Hombre | 2014-08-04 | 2014-10-21 | PG-PAB | Si | |
| 141,461 | 2,018 | ROVE1**121974 | 1974-12-05 | 44 | 2174b5058b56e4471af11248a73f215b | NA | Hombre | 2018-08-16 | 2018-10-16 | PG-PR | Si |
| 132,807 | 2,018 | ROVE1**121999 | 1999-12-05 | 19 | 2174b5058b56e4471af11248a73f215b | NA | Hombre | 2018-01-22 | 2018-07-31 | PG-PAI | Si |
| 116,002 | 2,017 | OSMO1**011999 | 1999-01-24 | 20 | 21cfcf5fcf203ce6ebd0cde916f6b479 | NA | Hombre | 2017-03-29 | 2017-07-31 | PG-PAI | Si |
| 67,594 | 2,015 | OSMO1**041988 | 1988-04-24 | 31 | 21cfcf5fcf203ce6ebd0cde916f6b479 | Hombre | 2014-06-06 | 2015-06-30 | PG-PAI | Si | |
| 27,916 | 2,012 | CAAL2**061993 | 1993-06-10 | 26 | 21d1ae7b219086a978ad590d717f35e4 | Mujer | 2012-06-11 | 2012-08-09 | M-PR | Si | |
| 4,750 | 2,010 | CAAL2**091985 | 1985-09-18 | 34 | 21d1ae7b219086a978ad590d717f35e4 | Mujer | 2010-04-14 | 2010-08-10 | M-PR | Si | |
| 91,332 | 2,016 | CLSA1**051986 | 1986-05-17 | 33 | 225fbaea2d95b65b9de69dd43f8367d0 | Hombre | 2015-10-05 | 2016-06-01 | PG-PAI | Si | |
| 38,612 | 2,013 | CLSA1**051984 | 1984-05-17 | 35 | 225fbaea2d95b65b9de69dd43f8367d0 | Hombre | 2013-04-08 | 2014-01-29 | PG-PAI | Si | |
| 26,230 | 2,012 | CLSA1**051984 | 1984-05-17 | 35 | 225fbaea2d95b65b9de69dd43f8367d0 | Hombre | 2012-04-17 | 2012-10-30 | PG-PAB | Si | |
| 54,710 | 2,014 | FRLO1**081980 | 1980-08-14 | 39 | 228a5578498fd45e49ee67b3e741699d | Hombre | 2014-02-11 | 2014-09-01 | PG-PAI | Si | |
| 39,323 | 2,013 | FRLO1**081986 | 1986-08-14 | 33 | 228a5578498fd45e49ee67b3e741699d | Hombre | 2013-04-17 | 2013-07-25 | PG-PAI | Si | |
| 27,209 | 2,012 | SESA1**051993 | 1993-05-26 | 26 | 2290f206a4773165e609231217a890c5 | Hombre | 2012-05-22 | 2012-09-03 | PG-PR | Si | |
| 24,895 | 2,012 | SESA1**061992 | 1992-06-26 | 27 | 2290f206a4773165e609231217a890c5 | Hombre | 2012-02-16 | 2012-03-02 | PG-PR | Si | |
| 23,730 | 2,012 | SESA1**061992 | 1992-06-26 | 27 | 2290f206a4773165e609231217a890c5 | Hombre | 2012-01-12 | 2012-02-08 | PG-PR | Si | |
| 19,196 | 2,011 | SESA1**061992 | 1992-06-26 | 27 | 2290f206a4773165e609231217a890c5 | Hombre | 2011-10-20 | 2011-12-16 | PG-PR | Si | |
| 150,535 | 2,019 | GUNA1**021969 | 1969-02-28 | 50 | 229f83b011f305cf2fd441189a3c9fc0 | NA | Hombre | 2018-11-12 | 2019-05-16 | PG-PAB | Si |
| 119,479 | 2,017 | GUNA1**021999 | 1999-02-28 | 20 | 229f83b011f305cf2fd441189a3c9fc0 | NA | Hombre | 2017-07-21 | 2017-11-29 | PG-PAI | Si |
| 88,046 | 2,016 | GUNA1**021969 | 1969-02-28 | 50 | 229f83b011f305cf2fd441189a3c9fc0 | Hombre | 2015-06-26 | 2016-11-11 | PG-PAI | Si | |
| 67,151 | 2,015 | GUNA1**021969 | 1969-02-28 | 50 | 229f83b011f305cf2fd441189a3c9fc0 | Hombre | 2014-05-15 | 2015-05-29 | PG-PAB | Si | |
| 28,550 | 2,012 | FAOR1**061983 | 1983-06-29 | 36 | 22ad1c09805a1de614fe7be8b1d064b9 | Hombre | 2012-01-11 | 2012-10-31 | PG-PAB | Si | |
| 6,891 | 2,010 | FAOR1**071991 | 1991-07-29 | 28 | 22ad1c09805a1de614fe7be8b1d064b9 | Hombre | 2008-05-16 | 2011-08-01 | PG-PAB | Si | |
| 6,331 | 2,010 | FAOR1**061983 | 1983-06-29 | 36 | 22ad1c09805a1de614fe7be8b1d064b9 | Hombre | 2008-05-16 | 2010-06-30 | PG-PAI | Si | |
| 70,681 | 2,015 | YORA2**111987 | 1987-11-18 | 31 | 22daa0fd67a031e632910676f7c029be | Mujer | 2014-12-10 | 2015-04-01 | PG-PAI | Si | |
| 58,728 | 2,014 | YORA2**111987 | 1987-11-18 | 31 | 22daa0fd67a031e632910676f7c029be | Mujer | 2014-06-16 | 2014-09-10 | M-PR | Si | |
| 42,911 | 2,013 | YORA2**111987 | 1987-11-18 | 31 | 22daa0fd67a031e632910676f7c029be | Mujer | 2013-07-31 | 2013-08-27 | M-PR | Si | |
| 40,878 | 2,013 | YORA2**101987 | 1987-10-18 | 32 | 22daa0fd67a031e632910676f7c029be | Mujer | 2013-06-03 | 2013-08-01 | M-PR | Si | |
| 3,725 | 2,010 | JORA2**111987 | 1987-11-18 | 31 | 22daa0fd67a031e632910676f7c029be | Mujer | 2010-02-26 | 2010-07-31 | M-PR | Si | |
| 108,842 | 2,017 | PASA1**041974 | 1974-04-19 | 45 | 22dad5b4cd5d7d05d022c2cb98eba5d7 | NA | Hombre | 2016-08-10 | 2017-03-01 | PG-PR | No |
| 92,226 | 2,016 | PASA1**041975 | 1975-04-19 | 44 | 22dad5b4cd5d7d05d022c2cb98eba5d7 | Hombre | 2015-01-29 | 2016-06-30 | PG-PAB | Si | |
| 111,541 | 2,017 | FLGO2**031960 | 1960-03-02 | 59 | 22fee6765335dec5863a8fc2a150ba08 | NA | Mujer | 2016-12-28 | 2017-08-10 | PG-PAI | Si |
| 92,479 | 2,016 | FLGO2**031961 | 1961-03-02 | 58 | 22fee6765335dec5863a8fc2a150ba08 | Mujer | 2015-12-28 | 2016-11-30 | PG-PAB | Si | |
| 97,869 | 2,016 | ENBO1**041996 | 1996-04-25 | 23 | 232a7f0974a2770d32eef0e11f186887 | Hombre | 2016-05-02 | 2016-12-05 | PG-PR | Si | |
| 76,969 | 2,015 | ENBO1**091984 | 1984-09-19 | 35 | 232a7f0974a2770d32eef0e11f186887 | Hombre | 2015-05-28 | 2015-10-29 | PG-PAI | Si | |
| 75,926 | 2,015 | ENBO1**091984 | 1984-09-19 | 35 | 232a7f0974a2770d32eef0e11f186887 | Hombre | 2015-04-28 | 2015-05-17 | PG-PR | Si | |
| 140,950 | 2,018 | RISE1**011979 | 1979-01-25 | 40 | 237ad17f83dadb1f49ff9122eba47d68 | NA | Hombre | 2018-08-20 | 2019-01-02 | PG-PAI | Si |
| 65,869 | 2,015 | RISE1**011978 | 1978-01-25 | 41 | 237ad17f83dadb1f49ff9122eba47d68 | Hombre | 2013-09-27 | 2016-03-04 | PG-PAB | Si | |
| 156,887 | 2,019 | JOLA1**111959 | 1959-11-07 | 60 | 238dc550576f2708c993c3ac7ce86bd9 | NA | Hombre | 2019-05-17 | NA | PG-PAI | Si |
| 50,839 | 2,014 | JOLA1**111959 | 1959-11-07 | 59 | 238dc550576f2708c993c3ac7ce86bd9 | Hombre | 2013-09-03 | 2014-02-11 | PG-PAB | Si | |
| 21,886 | 2,012 | JOLA1**111959 | 1959-11-07 | 59 | 238dc550576f2708c993c3ac7ce86bd9 | Hombre | 2011-07-19 | 2012-04-24 | PG-PAB | Si | |
| 16,419 | 2,011 | JOLA1**111959 | 1959-11-07 | 59 | 238dc550576f2708c993c3ac7ce86bd9 | Hombre | 2011-05-23 | 2011-07-01 | PG-PAI | Si | |
| 150,604 | 2,019 | MOMO2**081976 | 1976-08-02 | 43 | 23dc8f6c16e5160d336189a58af3b449 | NA | Mujer | 2018-11-20 | 2019-08-30 | M-PAI | Si |
| 140,172 | 2,018 | MOMO2**081976 | 1976-08-02 | 43 | 23dc8f6c16e5160d336189a58af3b449 | NA | Mujer | 2018-07-12 | 2018-11-19 | M-PR | Si |
| 138,987 | 2,018 | MOMO2**081976 | 1976-08-02 | 43 | 23dc8f6c16e5160d336189a58af3b449 | NA | Mujer | 2018-06-04 | 2018-07-11 | PG-PAI | Si |
| 80,196 | 2,015 | MOMO2**081980 | 1980-08-02 | 39 | 23dc8f6c16e5160d336189a58af3b449 | Mujer | 2015-08-19 | 2015-11-24 | PG-PAB | Si | |
| 153,240 | 2,019 | EUPO1**041990 | 1990-04-21 | 29 | 23ebb49f82c6d734fbc97b5f591c07fb | NA | Hombre | 2019-02-04 | NA | PG-PAB | Si |
| 150,216 | 2,019 | EUPO1**041989 | 1989-04-21 | 30 | 23ebb49f82c6d734fbc97b5f591c07fb | NA | Hombre | 2018-10-08 | 2019-01-31 | PG-PAI | Si |
| 143,069 | 2,018 | GAFI1**011970 | 1970-01-09 | 49 | 24118dbff81807b7289005be78444b72 | NA | Hombre | 2018-10-08 | 2018-12-31 | PG-PAB | Si |
| 77,095 | 2,015 | GAFI1**011960 | 1960-01-09 | 59 | 24118dbff81807b7289005be78444b72 | Hombre | 2015-05-06 | 2015-10-01 | PG-PAI | Si | |
| 16,829 | 2,011 | GAFI1**011970 | 1970-01-09 | 49 | 24118dbff81807b7289005be78444b72 | Hombre | 2011-05-31 | 2011-11-29 | PG-PAB | Si | |
| 28,974 | 2,012 | VETA2**091971 | 1971-09-06 | 48 | 245112d5008dd3901d96148e45b64acb | Mujer | 2012-08-01 | 2012-08-01 | Otro | No | |
| 27,216 | 2,012 | VETA2**091973 | 1973-09-06 | 46 | 245112d5008dd3901d96148e45b64acb | Mujer | 2012-05-26 | 2012-07-18 | M-PR | Si | |
| 12,743 | 2,011 | VETA2**091972 | 1972-09-06 | 47 | 245112d5008dd3901d96148e45b64acb | Mujer | 2011-01-11 | 2011-09-17 | PG-PAB | Si | |
| 26,252 | 2,012 | JURO1**091979 | 1979-09-24 | 40 | 245ce3d17c6c5b12e07b7576c637b864 | Hombre | 2012-04-04 | 2012-08-10 | PG-PAI | No | |
| 17,903 | 2,011 | JORO1**081985 | 1985-08-19 | 34 | 245ce3d17c6c5b12e07b7576c637b864 | Hombre | 2011-06-22 | 2011-11-02 | PG-PAI | Si | |
| 150,373 | 2,019 | RIIS1**081981 | 1981-08-22 | 38 | 2461c8278449b2021078fc3a79eab1b5 | NA | Hombre | 2018-11-12 | NA | PG-PR | Si |
| 126,595 | 2,018 | RIIS1**101982 | 1982-10-24 | 37 | 2461c8278449b2021078fc3a79eab1b5 | NA | Hombre | 2016-12-23 | 2018-06-28 | PG-PAI | Si |
| 99,813 | 2,016 | RIIS1**081981 | 1981-08-22 | 38 | 2461c8278449b2021078fc3a79eab1b5 | Hombre | 2016-06-29 | 2016-11-18 | PG-PAB | Si | |
| 74,574 | 2,015 | RIIS1**081981 | 1981-08-22 | 38 | 2461c8278449b2021078fc3a79eab1b5 | Hombre | 2015-02-25 | 2015-11-02 | PG-PAI | Si | |
| 99,356 | 2,016 | FEOS1**021984 | 1984-02-29 | 35 | 24ed54ee3bca4b9beea57626a1f53c3e | Hombre | 2016-07-04 | 2016-09-22 | PG-PAB | Si | |
| 69,253 | 2,015 | FEOS1**101994 | 1994-10-29 | 25 | 24ed54ee3bca4b9beea57626a1f53c3e | Hombre | 2014-10-01 | 2015-01-30 | PG-PAI | Si | |
| 59,007 | 2,014 | FEOS1**101984 | 1984-10-29 | 35 | 24ed54ee3bca4b9beea57626a1f53c3e | Hombre | 2014-06-12 | 2014-09-22 | PG-PR | Si | |
| 5,408 | 2,010 | FERO1**101984 | 1984-10-29 | 35 | 24ed54ee3bca4b9beea57626a1f53c3e | Hombre | 2010-04-26 | 2010-06-01 | PG-PAI | Si | |
| 25,324 | 2,012 | RUFE1**031993 | 1993-03-12 | 26 | 24f4d8f4e247d695ddbc5d3077375634 | Hombre | 2012-03-12 | 2012-04-05 | PG-PR | Si | |
| 20,182 | 2,011 | RUFE1**061986 | 1986-06-07 | 33 | 24f4d8f4e247d695ddbc5d3077375634 | Hombre | 2011-11-30 | 2011-12-01 | PG-PR | Si | |
| 44,830 | 2,013 | LUGA1**071980 | 1980-07-16 | 39 | 2504a48f17368221ca83a3ac0a168ab9 | Hombre | 2013-09-28 | 2013-12-10 | PG-PR | Si | |
| 4,944 | 2,010 | LUGA1**071990 | 1990-07-16 | 29 | 2504a48f17368221ca83a3ac0a168ab9 | Hombre | 2010-04-22 | 2010-08-13 | PG-PR | Si | |
| 68,829 | 2,015 | RICE1**111981 | 1981-11-28 | 37 | 252f9f938640a0fb97e01c649335e6f5 | Hombre | 2014-09-11 | 2015-05-13 | PG-PR | Si | |
| 48,372 | 2,014 | RICE1**111980 | 1980-11-28 | 38 | 252f9f938640a0fb97e01c649335e6f5 | Hombre | 2013-02-19 | 2014-04-15 | PG-PR | Si | |
| 29,629 | 2,012 | RICE1**111981 | 1981-11-28 | 37 | 252f9f938640a0fb97e01c649335e6f5 | Hombre | 2012-08-29 | 2012-09-07 | PG-PR | Si | |
| 113,106 | 2,017 | BRCO1**101996 | 1996-10-23 | 23 | 25356bdf7edd0cde79f211a7e891ba16 | NA | Hombre | 2017-01-31 | 2017-05-31 | PG-PAI | Si |
| 112,480 | 2,017 | BRCO1**101996 | 1996-10-23 | 23 | 25356bdf7edd0cde79f211a7e891ba16 | NA | Hombre | 2016-12-31 | 2017-01-23 | PG-PR | Si |
| 101,311 | 2,016 | BRCO1**101995 | 1995-10-23 | 24 | 25356bdf7edd0cde79f211a7e891ba16 | Hombre | 2016-08-23 | 2016-12-20 | PG-PR | Si | |
| 97,794 | 2,016 | BRCO1**051996 | 1996-05-17 | 23 | 25356bdf7edd0cde79f211a7e891ba16 | Hombre | 2016-05-03 | 2016-08-22 | PG-PAI | Si | |
| 92,041 | 2,016 | BRCO1**101996 | 1996-10-23 | 23 | 25356bdf7edd0cde79f211a7e891ba16 | Hombre | 2015-12-22 | 2016-05-02 | PG-PR | Si | |
| 82,882 | 2,015 | BRCO1**101996 | 1996-10-23 | 23 | 25356bdf7edd0cde79f211a7e891ba16 | Hombre | 2015-10-27 | 2015-12-22 | PG-PAI | Si | |
| 133,915 | 2,018 | JOCA1**111971 | 1971-11-30 | 47 | 254f909c18d568bcc2b7b084bd32d0e3 | NA | Hombre | 2018-02-01 | 2018-06-01 | PG-PAB | Si |
| 70,580 | 2,015 | JOCA1**111971 | 1971-11-30 | 47 | 254f909c18d568bcc2b7b084bd32d0e3 | Hombre | 2014-12-17 | 2015-11-11 | PG-PR | Si | |
| 48,447 | 2,014 | JOCA1**111971 | 1971-11-30 | 47 | 254f909c18d568bcc2b7b084bd32d0e3 | Hombre | 2013-02-26 | 2014-03-14 | PG-PAI | Si | |
| 2,010 | 2,010 | JOCA1**101971 | 1971-10-30 | 48 | 254f909c18d568bcc2b7b084bd32d0e3 | Hombre | 2009-04-01 | 2010-07-22 | PG-PR | Si | |
| 149,240 | 2,019 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | NA | Mujer | 2018-09-01 | 2019-02-08 | M-PR | Si |
| 128,968 | 2,018 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | NA | Mujer | 2017-08-02 | 2018-02-19 | M-PR | Si |
| 117,470 | 2,017 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | NA | Mujer | 2017-05-03 | 2017-08-01 | M-PAI | Si |
| 108,602 | 2,017 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | NA | Mujer | 2016-08-18 | 2017-04-28 | M-PR | Si |
| 97,694 | 2,016 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2016-05-27 | 2016-07-19 | M-PAI | Si | |
| 94,527 | 2,016 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2016-03-04 | 2016-05-22 | M-PR | Si | |
| 92,114 | 2,016 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2016-01-04 | 2016-03-03 | M-PAI | Si | |
| 83,765 | 2,015 | ELVI2**111963 | 1963-11-22 | 55 | 25c36b6820ac514094c458ba22918452 | Mujer | 2015-09-24 | 2015-12-31 | PG-PAB | Si | |
| 73,280 | 2,015 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2015-02-11 | 2015-08-21 | M-PR | Si | |
| 61,750 | 2,014 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2014-08-05 | 2014-11-05 | M-PR | Si | |
| 34,403 | 2,013 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2012-10-04 | 2013-05-03 | M-PR | Si | |
| 14,097 | 2,011 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2011-01-31 | 2011-12-30 | M-PAI | Si | |
| 8,392 | 2,010 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2010-08-20 | 2010-12-22 | PG-PAI | Si | |
| 7,698 | 2,010 | ELVI2**111962 | 1962-11-22 | 56 | 25c36b6820ac514094c458ba22918452 | Mujer | 2010-08-20 | 2010-09-30 | PG-PAB | Si | |
| 30,329 | 2,012 | PASA2**101980 | 1980-10-20 | 39 | 262a04962523ef9c6440f6f7557ff822 | Mujer | 2012-10-08 | 2012-10-26 | M-PR | Si | |
| 22,900 | 2,012 | PASA2**121980 | 1980-12-20 | 38 | 262a04962523ef9c6440f6f7557ff822 | Mujer | 2011-11-23 | 2012-04-17 | M-PR | Si | |
| 16,915 | 2,011 | PASA2**121980 | 1980-12-20 | 38 | 262a04962523ef9c6440f6f7557ff822 | Mujer | 2011-06-16 | 2011-11-21 | M-PAI | Si | |
| 11,333 | 2,011 | PASA2**121980 | 1980-12-20 | 38 | 262a04962523ef9c6440f6f7557ff822 | Mujer | 2010-08-31 | 2011-06-30 | PG-PAI | Si | |
| 63,202 | 2,014 | JOPA1**081988 | 1988-08-13 | 31 | 26367f6027957a7e4bfc3ee40ca60165 | Hombre | 2014-09-04 | 2015-01-02 | PG-PR | Si | |
| 54,166 | 2,014 | JOPA1**111988 | 1988-11-13 | 30 | 26367f6027957a7e4bfc3ee40ca60165 | Hombre | 2014-02-03 | 2014-10-01 | PG-PAI | Si | |
| 39,282 | 2,013 | DABA2**091978 | 1978-09-12 | 41 | 266ecd9e9213df517edb7557e5f6686e | Mujer | 2013-03-12 | 2013-10-31 | Otro | No | |
| 39,151 | 2,013 | DABA2**091970 | 1970-09-12 | 49 | 266ecd9e9213df517edb7557e5f6686e | Mujer | 2013-03-12 | 2013-10-01 | PG-PAB | Si | |
| 57,933 | 2,014 | SUCA2**051981 | 1981-05-26 | 38 | 26ad3489b104ed4b639f57d0f6af16fb | Mujer | 2014-04-17 | 2014-08-29 | PG-PAI | Si | |
| 26,559 | 2,012 | SUCA2**051981 | 1981-05-26 | 38 | 26ad3489b104ed4b639f57d0f6af16fb | Mujer | 2012-01-13 | 2012-08-13 | M-PR | Si | |
| 18,273 | 2,011 | SUCA2**051987 | 1987-05-26 | 32 | 26ad3489b104ed4b639f57d0f6af16fb | Mujer | 2011-08-31 | 2012-01-03 | PG-PAI | Si | |
| 16,667 | 2,011 | SUCA2**051987 | 1987-05-26 | 32 | 26ad3489b104ed4b639f57d0f6af16fb | Mujer | 2011-06-17 | 2011-08-31 | PG-PAB | Si | |
| 81,299 | 2,015 | JUCU1**121974 | 1974-12-11 | 44 | 26d22aa88df447c9b9d5653de2851ca1 | Hombre | 2015-09-03 | 2015-12-01 | PG-PAI | Si | |
| 54,011 | 2,014 | JUCU1**121974 | 1974-12-11 | 44 | 26d22aa88df447c9b9d5653de2851ca1 | Hombre | 2014-01-30 | 2014-08-18 | PG-PAI | Si | |
| 37,993 | 2,013 | JUCU1**121974 | 1974-12-11 | 44 | 26d22aa88df447c9b9d5653de2851ca1 | Hombre | 2013-03-27 | 2013-06-28 | PG-PAI | Si | |
| 29,544 | 2,012 | JUCU1**121974 | 1974-12-11 | 44 | 26d22aa88df447c9b9d5653de2851ca1 | Hombre | 2012-08-27 | 2013-02-01 | PG-PAB | No | |
| 13,657 | 2,011 | JUCU1**111975 | 1975-11-10 | 43 | 26d22aa88df447c9b9d5653de2851ca1 | Hombre | 2011-01-12 | 2011-07-30 | PG-PAB | Si | |
| 127,244 | 2,018 | SIMA2**031965 | 1965-03-31 | 54 | 26e9c04d9ab328ed3fdd8da9c1488678 | NA | Mujer | 2017-04-06 | 2018-11-30 | M-PR | Si |
| 88,215 | 2,016 | SIMA2**031965 | 1965-03-31 | 54 | 26e9c04d9ab328ed3fdd8da9c1488678 | Mujer | 2015-07-01 | 2016-03-31 | M-PAI | Si | |
| 74,858 | 2,015 | SIMA2**031965 | 1965-03-31 | 54 | 26e9c04d9ab328ed3fdd8da9c1488678 | Mujer | 2015-04-07 | 2015-06-30 | M-PR | Si | |
| 72,158 | 2,015 | SIMA2**031965 | 1965-03-31 | 54 | 26e9c04d9ab328ed3fdd8da9c1488678 | Mujer | 2015-01-27 | 2015-03-31 | M-PAI | Si | |
| 27,799 | 2,012 | SIMA2**031966 | 1966-03-31 | 53 | 26e9c04d9ab328ed3fdd8da9c1488678 | e710e5c41257621c28ceca325bbb6af8 | Mujer | 2012-06-12 | 2012-09-13 | PG-PAI | No |
| 72,457 | 2,015 | PEOL1**011989 | 1989-01-17 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2015-02-09 | 2015-03-04 | M-PR | Si | |
| 72,244 | 2,015 | PEOL1**011989 | 1989-01-09 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2015-01-08 | 2015-02-07 | PG-PAI | Si | |
| 19,453 | 2,011 | PEOL1**011989 | 1989-01-01 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2011-05-25 | 2012-03-19 | PG-PAB | Si | |
| 16,189 | 2,011 | PEOL1**011989 | 1989-01-09 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2011-05-25 | 2011-08-15 | PG-PAB | No | |
| 13,087 | 2,011 | PEOL1**011989 | 1989-01-09 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2010-12-28 | 2011-07-08 | PG-PR | Si | |
| 9,212 | 2,010 | PEOL1**011989 | 1989-01-09 | 30 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2010-11-25 | 2010-12-09 | PG-PAB | No | |
| 7,430 | 2,010 | PEOL1**121989 | 1989-12-09 | 29 | 26ebae5888430e7cbb106e484faf76a0 | Hombre | 2010-08-10 | 2010-11-30 | PG-PR | Si | |
| 68,619 | 2,015 | ROAL1**051976 | 1976-05-16 | 43 | 26fea033289100aa202eae6635298369 | Hombre | 2014-09-22 | 2015-04-01 | PG-PAB | Si | |
| 6,501 | 2,010 | ROAL1**051977 | 1977-05-16 | 42 | 26fea033289100aa202eae6635298369 | Hombre | 2010-07-19 | 2010-10-15 | PG-PAI | Si | |
| 155,288 | 2,019 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | NA | Mujer | 2019-02-14 | 2019-05-14 | M-PAI | Si |
| 127,182 | 2,018 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | NA | Mujer | 2017-04-06 | 2018-03-22 | M-PR | Si |
| 112,601 | 2,017 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | NA | Mujer | 2016-12-15 | 2017-04-05 | M-PAI | Si |
| 98,123 | 2,016 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | Mujer | 2016-06-08 | 2016-11-24 | M-PR | Si | |
| 67,788 | 2,015 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | Mujer | 2014-07-24 | 2015-03-25 | M-PR | Si | |
| 53,251 | 2,014 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | Mujer | 2014-01-16 | 2014-04-11 | M-PAI | Si | |
| 36,441 | 2,013 | NACE2**051982 | 1982-05-05 | 37 | 27031e5d587a8e5264f01b19b4f731a8 | Mujer | 2013-01-28 | 2013-07-31 | PG-PAI | Si | |
| 29,959 | 2,012 | NACE2**011983 | 1983-01-22 | 36 | 27031e5d587a8e5264f01b19b4f731a8 | Mujer | 2012-09-03 | 2012-10-31 | M-PAI | Si | |
| 52,919 | 2,014 | ROUR1**111981 | 1981-11-16 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2013-12-20 | 2014-04-27 | PG-PR | Si | |
| 35,842 | 2,013 | ROUR1**111981 | 1981-11-16 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2013-01-16 | 2013-06-24 | PG-PR | Si | |
| 24,557 | 2,012 | ROUR1**111981 | 1981-11-16 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2012-01-03 | 2012-04-27 | PG-PAB | Si | |
| 19,681 | 2,011 | ROUR1**111984 | 1984-11-16 | 34 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2011-09-26 | 2011-12-01 | PG-PR | Si | |
| 17,806 | 2,011 | ROUR1**111981 | 1981-11-16 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2011-08-08 | 2011-10-28 | PG-PAB | Si | |
| 11,594 | 2,011 | CAPA1**071982 | 1982-07-10 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2010-10-18 | 2011-05-26 | PG-PAB | Si | |
| 2,023 | 2,010 | ROUR1**111981 | 1981-11-16 | 37 | 270fa29f42b96e95a531adb0bf831e4f | Hombre | 2010-01-21 | 2010-04-26 | PG-PAI | Si | |
| 113,440 | 2,017 | BEGO1**091978 | 1978-09-10 | 41 | 274af43f6d1f63c36c065e6e1bebfcd9 | NA | Hombre | 2017-02-23 | 2017-11-29 | PG-PR | Si |
| 100,840 | 2,016 | BEGO1**091968 | 1968-09-10 | 51 | 274af43f6d1f63c36c065e6e1bebfcd9 | Hombre | 2016-08-08 | 2017-02-01 | PG-PAI | Si | |
| 156,950 | 2,019 | CRBR1**071977 | 1977-07-29 | 42 | 27b39d5b3fa879340213428b53e501fe | NA | Hombre | 2019-05-23 | NA | PG-PAB | Si |
| 74,082 | 2,015 | CRBR1**071976 | 1976-07-29 | 43 | 27b39d5b3fa879340213428b53e501fe | Hombre | 2015-02-16 | 2015-06-19 | PG-PAI | Si | |
| 122,740 | 2,017 | JORO1**121981 | 1981-12-21 | 37 | 27ee472d4602aa31420048d085c0e60b | NA | Hombre | 2017-10-04 | 2018-02-01 | PG-PAB | Si |
| 21,611 | 2,012 | JORO1**121988 | 1988-12-21 | 30 | 27ee472d4602aa31420048d085c0e60b | Hombre | 2011-05-04 | 2012-07-10 | PG-PAB | Si | |
| 66,127 | 2,015 | PAPA2**041998 | 1998-04-15 | 21 | 282b26469a3946baa5cff1993b2b6a06 | Mujer | 2013-12-17 | 2015-03-16 | PG-PAB | Si | |
| 262 | 2,010 | PAPA2**041988 | 1988-04-15 | 31 | 282b26469a3946baa5cff1993b2b6a06 | Mujer | 2009-10-07 | 2010-03-31 | PG-PAB | Si | |
| 146,468 | 2,019 | PAZA2**111974 | 1974-11-09 | 45 | 2839b336e51c79ed6cfbe5f10e5f1c08 | NA | Mujer | 2017-10-18 | 2019-06-18 | M-PAI | Si |
| 2,760 | 2,010 | PAZA2**111974 | 1974-11-09 | 44 | 2839b336e51c79ed6cfbe5f10e5f1c08 | Mujer | 2009-12-11 | 2010-08-26 | PG-PAI | Si | |
| 63,351 | 2,014 | JERE1**041985 | 1985-04-05 | 34 | 2840d2b81ea757168184be08748d1268 | Hombre | 2014-10-27 | 2014-10-28 | PG-PAI | Si | |
| 31,745 | 2,012 | JERE1**121985 | 1985-12-05 | 33 | 2840d2b81ea757168184be08748d1268 | Hombre | 2012-12-05 | 2012-12-08 | PG-PR | Si | |
| 25,218 | 2,012 | JERE1**041985 | 1985-04-05 | 34 | 2840d2b81ea757168184be08748d1268 | Hombre | 2012-03-05 | 2012-04-24 | PG-PAI | Si | |
| 160,793 | 2,019 | ESAR1**071983 | 1983-07-09 | 36 | 2862b749e90ae949420bc0f1958f7f0f | NA | Hombre | 2019-08-20 | NA | PG-PAI | Si |
| 23,216 | 2,012 | ESAR1**071982 | 1982-07-09 | 37 | 2862b749e90ae949420bc0f1958f7f0f | Hombre | 2011-11-23 | 2012-01-25 | PG-PAI | Si | |
| 150,000 | 2,019 | BRVI1**111993 | 1993-11-06 | 26 | 2873367f9b42d0ca5790a2601c4edd46 | NA | Hombre | 2018-10-29 | 2019-06-21 | PG-PR | Si |
| 118,189 | 2,017 | BRVI1**111993 | 1993-11-06 | 25 | 2873367f9b42d0ca5790a2601c4edd46 | NA | Hombre | 2017-06-14 | 2017-07-07 | PG-PAI | Si |
| 126,133 | 2,018 | ALNU1**081968 | 1968-08-02 | 51 | 28a75475d0e926e083395dc4a58fb295 | NA | Hombre | 2016-03-08 | 2018-06-15 | PG-PAB | Si |
| 20,742 | 2,012 | ALNU1**081967 | 1967-08-02 | 52 | 28a75475d0e926e083395dc4a58fb295 | Hombre | 2010-09-13 | 2012-06-05 | PG-PAB | Si | |
| 25,638 | 2,012 | MACU2**061978 | 1978-06-28 | 41 | 28b49a99ec43fae5cd60e3ba6df2740a | Mujer | 2012-03-27 | 2012-08-01 | M-PR | Si | |
| 24,571 | 2,012 | MACU2**021987 | 1987-02-08 | 32 | 28b49a99ec43fae5cd60e3ba6df2740a | Mujer | 2012-01-03 | 2012-03-08 | M-PR | Si | |
| 17,914 | 2,011 | MACU2**061978 | 1978-06-28 | 41 | 28b49a99ec43fae5cd60e3ba6df2740a | Mujer | 2011-08-22 | 2011-12-31 | M-PR | Si | |
| 22,159 | 2,012 | MAIR2**091992 | 1992-09-15 | 27 | 28f5de2a8924a3c628803d682b45965b | Mujer | 2011-09-01 | 2012-01-31 | M-PAI | Si | |
| 16,707 | 2,011 | MAIR2**071985 | 1985-07-15 | 34 | 28f5de2a8924a3c628803d682b45965b | Mujer | 2011-06-10 | 2011-08-31 | PG-PAI | Si | |
| 12,246 | 2,011 | MAIR2**071985 | 1985-07-15 | 34 | 28f5de2a8924a3c628803d682b45965b | Mujer | 2010-11-15 | 2011-01-31 | PG-PAI | Si | |
| 33,713 | 2,013 | GEVA1**011970 | 1970-01-01 | 49 | 2916feee8d33b62e85f2eb148e66825e | Hombre | 2012-08-02 | 2013-05-29 | PG-PAI | Si | |
| 29,396 | 2,012 | GEVA1**011970 | 1970-01-01 | 49 | 2916feee8d33b62e85f2eb148e66825e | Hombre | 2011-07-22 | 2012-08-01 | PG-PAB | Si | |
| 18,651 | 2,011 | GEVA1**121970 | 1970-12-03 | 48 | 2916feee8d33b62e85f2eb148e66825e | Hombre | 2011-07-22 | 2012-01-31 | PG-PAI | Si | |
| 150,478 | 2,019 | GARU1**111981 | 1981-11-10 | 38 | 29518c4931e51f54417697904bfaf632 | NA | Hombre | 2018-11-15 | 2019-08-30 | PG-PAB | Si |
| 127,253 | 2,018 | GARU1**111981 | 1981-11-10 | 37 | 29518c4931e51f54417697904bfaf632 | NA | Hombre | 2017-04-03 | 2018-02-28 | PG-PAB | Si |
| 155,349 | 2,019 | HEGO2**041997 | 1997-04-14 | 22 | 299314cdf3affd71dd0a785bc5cc580a | NA | Mujer | 2019-04-01 | NA | PG-PAB | Si |
| 120,765 | 2,017 | HEGO2**041999 | 1999-04-14 | 20 | 299314cdf3affd71dd0a785bc5cc580a | NA | Mujer | 2017-08-01 | 2017-10-05 | PG-PAI | Si |
| 92,252 | 2,016 | JEAN2**061990 | 1990-06-02 | 29 | 29a62121c8bf218d0c1c0855d370e76b | Mujer | 2015-12-22 | 2016-11-04 | M-PAI | Si | |
| 46,931 | 2,013 | JEAN2**061980 | 1980-06-02 | 39 | 29a62121c8bf218d0c1c0855d370e76b | Mujer | 2013-11-01 | 2013-12-02 | M-PR | Si | |
| 100,292 | 2,016 | HELI2**111978 | 1978-11-11 | 40 | 29fd04cca3dbe28e09b10c493da66f13 | Mujer | 2016-07-30 | 2016-08-22 | M-PR | Si | |
| 95,741 | 2,016 | HELI2**031977 | 1977-03-15 | 42 | 29fd04cca3dbe28e09b10c493da66f13 | Mujer | 2016-03-30 | 2016-07-29 | PG-PAB | Si | |
| 132,820 | 2,018 | EDCA1**031990 | 1990-03-16 | 29 | 29fd7a17208d4fe2180d72a07cf2ecc4 | NA | Hombre | 2018-01-04 | 2018-05-01 | PG-PR | Si |
| 108,740 | 2,017 | EDCA1**081996 | 1996-08-16 | 23 | 29fd7a17208d4fe2180d72a07cf2ecc4 | NA | Hombre | 2016-08-16 | 2017-02-20 | PG-PR | Si |
| 153,661 | 2,019 | COBA2**111990 | 1990-11-13 | 29 | 29feebdd80b416b2cb9c21ed62c68d4a | NA | Mujer | 2019-02-11 | 2019-03-31 | M-PR | Si |
| 95,972 | 2,016 | COBA2**111990 | 1990-11-13 | 28 | 29feebdd80b416b2cb9c21ed62c68d4a | Mujer | 2016-04-22 | 2016-07-15 | M-PAI | Si | |
| 35,366 | 2,013 | BRUR1**031991 | 1991-03-30 | 28 | 2a46b11a41cb0fd6979ea9653d7a5d53 | Hombre | 2013-01-02 | 2013-01-11 | PG-PAB | Si | |
| 10,087 | 2,011 | BRUR1**031990 | 1990-03-30 | 29 | 2a46b11a41cb0fd6979ea9653d7a5d53 | Hombre | 2010-02-16 | 2011-01-22 | PG-PAB | Si | |
| 55,458 | 2,014 | ROSO1**021972 | 1972-02-01 | 47 | 2a7ce53917ca1f56652d93bf9252c36c | Hombre | 2013-11-25 | 2014-08-04 | PG-PAI | Si | |
| 52,207 | 2,014 | ROSO1**021971 | 1971-02-01 | 48 | 2a7ce53917ca1f56652d93bf9252c36c | Hombre | 2013-11-25 | 2014-03-03 | PG-PAB | Si | |
| 80,275 | 2,015 | FIRI1**091967 | 1967-09-29 | 52 | 2ab254f24d11142a1e9b9960afde0c74 | Hombre | 2015-07-13 | 2015-10-05 | PG-PAI | Si | |
| 27,025 | 2,012 | FIRI1**111987 | 1987-11-29 | 31 | 2ab254f24d11142a1e9b9960afde0c74 | Hombre | 2012-05-24 | 2012-08-20 | PG-PAI | Si | |
| 31,581 | 2,012 | AGOP2**111993 | 1993-11-05 | 26 | 2aebae35e1b580d81d5cc1186b5a6ede | Mujer | 2012-05-14 | 2013-01-31 | PG-PAB | Si | |
| 24,573 | 2,012 | AGOP2**021979 | 1979-02-05 | 40 | 2aebae35e1b580d81d5cc1186b5a6ede | Mujer | 2012-01-03 | 2012-04-17 | M-PR | Si | |
| 19,761 | 2,011 | AGOP2**021979 | 1979-02-05 | 40 | 2aebae35e1b580d81d5cc1186b5a6ede | Mujer | 2011-11-17 | 2011-12-31 | M-PR | Si | |
| 54,779 | 2,014 | RORU2**091958 | 1958-09-06 | 61 | 2afa7ab08b1f822e7c9ffd4a70939e20 | Mujer | 2014-02-04 | 2014-07-30 | PG-PAI | Si | |
| 37,133 | 2,013 | RORU2**021994 | 1994-02-21 | 25 | 2afa7ab08b1f822e7c9ffd4a70939e20 | Mujer | 2013-02-21 | 2013-12-20 | PG-PR | Si | |
| 157,811 | 2,019 | VIMO1**111982 | 1982-11-06 | 37 | 2aff6a7506991628e4eb4e884c546b62 | NA | Hombre | 2019-05-31 | NA | PG-PAI | Si |
| 93,437 | 2,016 | VIMO1**111982 | 1982-11-06 | 36 | 2aff6a7506991628e4eb4e884c546b62 | Hombre | 2016-02-09 | 2016-07-18 | PG-PAI | Si | |
| 44,179 | 2,013 | BEVE1**101970 | 1970-10-12 | 49 | 2b5f7eec9a00b51c732b1576ffc8516f | Hombre | 2013-08-29 | 2013-12-12 | PG-PAB | Si | |
| 38,750 | 2,013 | BEVE1**101970 | 1970-10-12 | 49 | 2b5f7eec9a00b51c732b1576ffc8516f | Hombre | 2013-04-09 | 2013-07-29 | PG-PAI | Si | |
| 23,661 | 2,012 | BEVE1**121970 | 1970-12-10 | 48 | 2b5f7eec9a00b51c732b1576ffc8516f | Hombre | 2012-01-09 | 2012-03-01 | PG-PAI | Si | |
| 71,396 | 2,015 | JAAL1**111986 | 1986-11-16 | 32 | 2b88906b6d3006ebafe9fd91d3ac4a56 | Hombre | 2015-01-29 | 2015-05-29 | PG-PAI | Si | |
| 58,215 | 2,014 | JAAL1**101986 | 1986-10-16 | 33 | 2b88906b6d3006ebafe9fd91d3ac4a56 | Hombre | 2014-05-06 | 2015-01-06 | PG-PAB | Si | |
| 24,410 | 2,012 | JAAL1**101986 | 1986-10-16 | 33 | 2b88906b6d3006ebafe9fd91d3ac4a56 | Hombre | 2012-01-12 | 2012-04-03 | PG-PAB | Si | |
| 33,483 | 2,013 | HEHU1**011993 | 1993-01-26 | 26 | 2b9dfaa0ff3c3e24610b0b7de051db26 | Hombre | 2012-07-23 | 2013-07-01 | PG-PAB | Si | |
| 22,735 | 2,012 | HEHU1**011986 | 1986-01-26 | 33 | 2b9dfaa0ff3c3e24610b0b7de051db26 | Hombre | 2011-10-06 | 2012-02-29 | PG-PAB | No | |
| 158,062 | 2,019 | PAUR1**091986 | 1986-09-22 | 33 | 2bf742985774ff45c50e23fb03d3feda | NA | Hombre | 2019-06-14 | NA | PG-PR | Si |
| 35,247 | 2,013 | PAUR1**091968 | 1968-09-21 | 51 | 2bf742985774ff45c50e23fb03d3feda | Hombre | 2012-11-19 | 2013-02-28 | PG-PAB | Si | |
| 17,438 | 2,011 | ANME1**021956 | 1956-02-01 | 63 | 2c20be17800d7de50f4ac0a5843a39ca | Hombre | 2011-07-11 | 2012-01-02 | PG-PAI | Si | |
| 6,847 | 2,010 | ANME1**021966 | 1966-02-01 | 53 | 2c20be17800d7de50f4ac0a5843a39ca | Hombre | 2010-06-25 | 2010-10-01 | PG-PAB | Si | |
| 160,343 | 2,019 | DAQU1**011986 | 1986-01-13 | 33 | 2c2dd8697f5a995d24b927b4958aa37c | NA | Hombre | 2019-08-05 | NA | PG-PAI | Si |
| 125,142 | 2,017 | DAQU1**031999 | 1999-03-13 | 20 | 2c2dd8697f5a995d24b927b4958aa37c | NA | Hombre | 2017-11-23 | 2018-02-01 | PG-PAB | Si |
| 106,016 | 2,017 | DAQU1**011986 | 1986-01-13 | 33 | 2c2dd8697f5a995d24b927b4958aa37c | NA | Hombre | 2015-10-05 | 2017-07-01 | PG-PAI | Si |
| 109,157 | 2,017 | MACA1**041968 | 1968-04-19 | 51 | 2c427ad8b4dd66ebd39dc4f59e0dd89f | NA | Hombre | 2016-09-09 | 2017-03-31 | PG-PR | Si |
| 37,921 | 2,013 | MACA1**041967 | 1967-04-19 | 52 | 2c427ad8b4dd66ebd39dc4f59e0dd89f | Hombre | 2013-03-07 | 2013-06-28 | PG-PAI | Si | |
| 17,770 | 2,011 | CABA1**041967 | 1967-04-19 | 52 | 2c427ad8b4dd66ebd39dc4f59e0dd89f | Hombre | 2011-08-12 | 2011-11-29 | PG-PAB | Si | |
| 67,090 | 2,015 | AUDI2**041980 | 1980-04-07 | 39 | 2c4be0f7cd09325a7527fe31de884578 | Mujer | 2014-05-05 | 2015-08-03 | M-PAI | Si | |
| 43,368 | 2,013 | AUDI2**041980 | 1980-04-07 | 39 | 2c4be0f7cd09325a7527fe31de884578 | Mujer | 2013-08-05 | 2013-12-02 | M-PAI | Si | |
| 35,006 | 2,013 | AUDI2**041982 | 1982-04-07 | 37 | 2c4be0f7cd09325a7527fe31de884578 | Mujer | 2012-12-03 | 2013-01-01 | M-PR | No | |
| 25,680 | 2,012 | AUDI2**041980 | 1980-04-07 | 39 | 2c4be0f7cd09325a7527fe31de884578 | Mujer | 2012-02-02 | 2012-12-01 | PG-PAI | Si | |
| 22,303 | 2,012 | VALO2**111991 | 1991-11-20 | 27 | 2cac60e21760c9261ac32ce1268b6b56 | Mujer | 2011-09-27 | 2012-09-06 | M-PAI | Si | |
| 12,829 | 2,011 | VALO2**111985 | 1985-11-20 | 33 | 2cac60e21760c9261ac32ce1268b6b56 | Mujer | 2011-01-19 | 2011-02-11 | PG-PAI | Si | |
| 3,463 | 2,010 | VALO2**111985 | 1985-11-20 | 33 | 2cac60e21760c9261ac32ce1268b6b56 | Mujer | 2010-02-18 | 2010-06-21 | PG-PAI | Si | |
| 2,420 | 2,010 | VALO2**111985 | 1985-11-29 | 33 | 2cac60e21760c9261ac32ce1268b6b56 | Mujer | 2009-08-10 | 2010-01-12 | M-PR | Si | |
| 76,333 | 2,015 | ANTO2**111972 | 1972-11-25 | 46 | 2d02986c297a447347afc450cc783f27 | Mujer | 2015-05-04 | 2015-07-24 | PG-PAB | No | |
| 32,688 | 2,013 | ANTO2**101972 | 1972-10-25 | 47 | 2d02986c297a447347afc450cc783f27 | Mujer | 2012-03-28 | 2013-06-11 | PG-PAB | Si | |
| 147,864 | 2,019 | CRES1**111981 | 1981-11-10 | 38 | 2d63489f8778a02db0464340d7217ce6 | NA | Hombre | 2018-06-01 | 2019-05-10 | PG-PAB | Si |
| 101,030 | 2,016 | CRES1**111981 | 1981-11-10 | 37 | 2d63489f8778a02db0464340d7217ce6 | Hombre | 2016-08-29 | 2016-11-25 | PG-PAB | Si | |
| 21,015 | 2,012 | CAPE1**051966 | 1966-05-18 | 53 | 2dfcae02f0c63ff22137221388cc3efc | Hombre | 2011-02-21 | 2012-02-22 | PG-PR | Si | |
| 10,972 | 2,011 | CAPE1**081991 | 1991-08-16 | 28 | 2dfcae02f0c63ff22137221388cc3efc | Hombre | 2010-08-16 | 2011-02-20 | PG-PAI | Si | |
| 11,864 | 2,011 | CACO1**061957 | 1957-06-15 | 62 | 2e52e0b13eb61711806fc416be9ee382 | Hombre | 2010-11-03 | 2011-04-01 | PG-PAB | Si | |
| 6,050 | 2,010 | CACO1**061991 | 1991-06-15 | 61 | 2e52e0b13eb61711806fc416be9ee382 | Hombre | 2010-06-09 | 2010-11-02 | PG-PAI | Si | |
| 46,603 | 2,013 | CRGU1**051992 | 1992-05-17 | 27 | 2e60a4e730f8aab12a4478c45e98b241 | Hombre | 2013-11-04 | 2013-12-10 | PG-PAI | Si | |
| 16,825 | 2,011 | CRGU1**061992 | 1992-06-17 | 27 | 2e60a4e730f8aab12a4478c45e98b241 | Hombre | 2011-05-25 | 2012-01-02 | PG-PAI | Si | |
| 387 | 2,010 | CRGU1**051982 | 1982-05-17 | 37 | 2e60a4e730f8aab12a4478c45e98b241 | Hombre | 2009-06-22 | 2010-02-08 | PG-PAI | Si | |
| 87,849 | 2,016 | ROBU2**041993 | 1993-04-25 | 26 | 2e6ce23916c8f8800f9fb020b5739563 | Mujer | 2015-06-05 | 2016-01-04 | M-PAI | Si | |
| 23,381 | 2,012 | ROBU2**041983 | 1983-04-25 | 36 | 2e6ce23916c8f8800f9fb020b5739563 | Mujer | 2011-12-12 | 2012-01-20 | M-PAI | Si | |
| 115,145 | 2,017 | HILA2**121990 | 1990-12-17 | 28 | 2e7fdc6ecfda7b79654aed21cabe2e7e | NA | Mujer | 2017-03-27 | 2017-06-30 | PG-PAI | Si |
| 72,025 | 2,015 | HILA2**121991 | 1991-12-17 | 27 | 2e7fdc6ecfda7b79654aed21cabe2e7e | Mujer | 2015-01-22 | 2015-11-13 | PG-PAI | Si | |
| 92,536 | 2,016 | JOVE1**011996 | 1996-01-25 | 23 | 2ee1eff9f1445f8433ce40a129e3742c | Hombre | 2016-01-19 | 2016-09-05 | PG-PAI | Si | |
| 76,275 | 2,015 | JOVE1**011988 | 1988-01-25 | 31 | 2ee1eff9f1445f8433ce40a129e3742c | Hombre | 2015-05-15 | 2015-07-02 | PG-PAB | Si | |
| 155,906 | 2,019 | ROCA1**111973 | 1973-11-23 | 45 | 2eeef044925780f741842057fa200955 | NA | Hombre | 2019-04-01 | NA | PG-PAI | Si |
| 130,635 | 2,018 | ROCA1**111973 | 1973-11-23 | 45 | 2eeef044925780f741842057fa200955 | NA | Hombre | 2017-10-02 | 2018-04-05 | PG-PAI | Si |
| 82,324 | 2,015 | ROCA1**091973 | 1973-09-23 | 46 | 2eeef044925780f741842057fa200955 | Hombre | 2015-09-30 | 2015-11-30 | PG-PAB | Si | |
| 111,337 | 2,017 | EDRO1**111971 | 1971-11-28 | 47 | 2f2cbbc15cf4212e93762f827e0637be | NA | Hombre | 2016-11-23 | 2017-02-06 | PG-PAI | Si |
| 68,336 | 2,015 | EDRO1**111971 | 1971-11-26 | 47 | 2f2cbbc15cf4212e93762f827e0637be | Hombre | 2014-08-27 | 2015-07-01 | PG-PR | No | |
| 56,099 | 2,014 | EDRO1**111979 | 1979-11-26 | 39 | 2f2cbbc15cf4212e93762f827e0637be | Hombre | 2014-02-10 | 2014-08-26 | PG-PAI | Si | |
| 25,589 | 2,012 | EDRO1**111971 | 1971-11-26 | 47 | 2f2cbbc15cf4212e93762f827e0637be | Hombre | 2012-02-17 | 2012-05-30 | PG-PAI | Si | |
| 17,023 | 2,011 | EDRO1**111971 | 1971-11-26 | 47 | 2f2cbbc15cf4212e93762f827e0637be | Hombre | 2011-01-31 | 2011-10-27 | PG-PAB | Si | |
| 53,968 | 2,014 | NAES2**071978 | 1978-07-17 | 41 | 2f73b94b085b1275b84a5ca630629049 | Mujer | 2014-01-03 | 2014-05-06 | M-PAI | Si | |
| 27,366 | 2,012 | NAES2**071979 | 1979-07-17 | 40 | 2f73b94b085b1275b84a5ca630629049 | Mujer | 2012-05-28 | 2012-07-31 | PG-PAI | Si | |
| 23,447 | 2,012 | NAES2**071979 | 1979-07-17 | 40 | 2f73b94b085b1275b84a5ca630629049 | Mujer | 2011-12-05 | 2012-03-21 | M-PAI | Si | |
| 114,118 | 2,017 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | NA | Hombre | 2017-03-09 | 2017-03-26 | PG-PR | Si |
| 113,982 | 2,017 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | NA | Hombre | 2017-02-14 | 2017-02-26 | PG-PR | Si |
| 112,541 | 2,017 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | NA | Hombre | 2016-12-20 | 2017-02-13 | PG-PAI | Si |
| 48,821 | 2,014 | LUSE1**041994 | 1994-04-07 | 25 | 2f88a2b2c6c45b2780c65834e2399372 | Hombre | 2013-04-01 | 2014-05-05 | PG-PAI | Si | |
| 30,817 | 2,012 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | Hombre | 2012-10-26 | 2013-01-02 | PG-PAI | Si | |
| 23,254 | 2,012 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | Hombre | 2011-12-12 | 2012-02-10 | PG-PR | Si | |
| 16,673 | 2,011 | LUSE1**071976 | 1976-07-07 | 43 | 2f88a2b2c6c45b2780c65834e2399372 | Hombre | 2011-05-11 | 2011-11-30 | PG-PAI | Si | |
| 131,516 | 2,018 | CRMU1**051972 | 1972-05-12 | 47 | 2f9788191c5271884742419e12be4fab | NA | Hombre | 2017-11-20 | 2018-05-01 | PG-PAB | Si |
| 111,642 | 2,017 | CHMU1**051971 | 1971-05-12 | 48 | 2f9788191c5271884742419e12be4fab | NA | Hombre | 2017-01-11 | 2017-05-01 | PG-PAB | Si |
| 126,178 | 2,018 | XIHE2**021958 | 1958-02-22 | 61 | 2fa9150fd871fe63859e79ef922ff437 | NA | Mujer | 2016-08-17 | 2018-03-01 | PG-PAB | No |
| 94,733 | 2,016 | XIHE2**021958 | 1958-02-22 | 61 | 2fa9150fd871fe63859e79ef922ff437 | Mujer | 2016-03-22 | 2016-08-01 | M-PR | Si | |
| 85,447 | 2,016 | XIHE2**021994 | 1994-02-22 | 25 | 2fa9150fd871fe63859e79ef922ff437 | Mujer | 2013-06-25 | 2016-03-21 | PG-PAB | Si | |
| 154,408 | 2,019 | MAHE1**012001 | 2001-01-09 | 18 | 2fc7b501dcfb9cefb8f1d5b32dadf764 | NA | Hombre | 2019-03-14 | NA | PG-PR | Si |
| 149,737 | 2,019 | MAHE1**011994 | 1994-01-19 | 25 | 2fc7b501dcfb9cefb8f1d5b32dadf764 | NA | Hombre | 2018-10-01 | 2019-03-13 | PG-PAI | Si |
| 155,784 | 2,019 | JOMO1**111992 | 1992-11-08 | 27 | 2fd524b6bc9b8d410d52005a8d47e5c5 | NA | Hombre | 2019-04-10 | 2019-07-01 | PG-PAI | Si |
| 137,744 | 2,018 | JOMO1**111992 | 1992-11-08 | 26 | 2fd524b6bc9b8d410d52005a8d47e5c5 | NA | Hombre | 2018-05-14 | 2018-07-31 | PG-PAI | Si |
| 125,674 | 2,017 | JOMO1**111992 | 1992-11-08 | 26 | 2fd524b6bc9b8d410d52005a8d47e5c5 | NA | Hombre | 2017-11-07 | 2018-01-01 | PG-PAI | Si |
| 65,465 | 2,015 | CLRO2**081968 | 1968-08-12 | 51 | 301c7c75528a1f0510919e8c917de631 | Mujer | 2013-01-07 | 2013-01-31 | M-PAI | Si | |
| 57,974 | 2,014 | CLCA1**081969 | 1969-08-12 | 50 | 301c7c75528a1f0510919e8c917de631 | Hombre | 2014-05-01 | 2014-07-22 | M-PR | No | |
| 12,889 | 2,011 | CLRO2**081968 | 1968-08-12 | 51 | 301c7c75528a1f0510919e8c917de631 | Mujer | 2011-01-18 | 2011-08-26 | M-PAI | Si | |
| 140,225 | 2,018 | MIPE1**041983 | 1983-04-18 | 36 | 3034db6809750d90f9358c6530acaada | NA | Hombre | 2018-07-12 | 2018-08-31 | PG-PAB | Si |
| 130,355 | 2,018 | MIPE1**041984 | 1984-04-18 | 35 | 3034db6809750d90f9358c6530acaada | NA | Hombre | 2017-10-16 | 2018-06-28 | PG-PR | Si |
| 93,616 | 2,016 | VITA1**111989 | 1989-11-16 | 29 | 307929a530a5299b55dbf6dfd5a3ca19 | Hombre | 2016-02-03 | 2016-09-01 | PG-PR | Si | |
| 58,138 | 2,014 | VITA1**111989 | 1989-11-16 | 29 | 307929a530a5299b55dbf6dfd5a3ca19 | Hombre | 2014-05-19 | 2014-10-01 | PG-PAI | Si | |
| 27,405 | 2,012 | VITA1**111989 | 1989-11-16 | 29 | 307929a530a5299b55dbf6dfd5a3ca19 | Hombre | 2012-05-25 | 2012-09-26 | PG-PAI | Si | |
| 24,542 | 2,012 | VITA1**111989 | 1989-11-16 | 29 | 307929a530a5299b55dbf6dfd5a3ca19 | Hombre | 2012-01-19 | 2012-06-01 | PG-PR | Si | |
| 21,720 | 2,012 | VITA1**101989 | 1989-10-16 | 30 | 307929a530a5299b55dbf6dfd5a3ca19 | Hombre | 2011-06-21 | 2012-01-13 | PG-PAI | Si | |
| 69,613 | 2,015 | PAMU2**081984 | 1984-08-09 | 35 | 30e6e26dba324663a6f912ffaef46167 | Mujer | 2014-11-01 | 2015-06-04 | PG-PAI | Si | |
| 56,531 | 2,014 | PAMU2**081985 | 1985-08-09 | 34 | 30e6e26dba324663a6f912ffaef46167 | Mujer | 2014-04-01 | 2014-11-01 | PG-PR | Si | |
| 53,092 | 2,014 | PAMU2**081984 | 1984-08-09 | 35 | 30e6e26dba324663a6f912ffaef46167 | Mujer | 2014-01-02 | 2014-03-31 | PG-PAI | Si | |
| 37,443 | 2,013 | PAMU2**081984 | 1984-08-09 | 35 | 30e6e26dba324663a6f912ffaef46167 | Mujer | 2013-03-01 | 2013-05-06 | PG-PAI | Si | |
| 106,126 | 2,017 | JOHE1**111943 | 1943-11-03 | 76 | 30f7579163e2352c825f0f263833207c | NA | Hombre | 2015-11-11 | 2017-01-05 | PG-PAB | Si |
| 66,429 | 2,015 | JOHE1**111943 | 1943-11-10 | 75 | 30f7579163e2352c825f0f263833207c | Hombre | 2014-02-05 | 2015-03-27 | Otro | No | |
| 66,785 | 2,015 | CLTO2**101979 | 1979-10-17 | 40 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2014-02-22 | 2015-03-06 | M-PR | Si | |
| 54,953 | 2,014 | CLTO2**101979 | 1979-10-17 | 40 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2014-02-22 | 2014-02-28 | M-PR | Si | |
| 41,016 | 2,013 | CLTO2**101979 | 1979-10-17 | 40 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2013-06-05 | 2013-11-29 | PG-PAB | Si | |
| 14,675 | 2,011 | CLTO2**101979 | 1979-10-17 | 40 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2010-12-21 | 2011-10-28 | PG-PAB | Si | |
| 6,403 | 2,010 | CLTO2**071991 | 1991-07-17 | 28 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2010-06-24 | 2010-12-16 | M-PR | Si | |
| 5,255 | 2,010 | CLTO2**101979 | 1979-10-17 | 40 | 3128223a53c6fd5073cc754afacf3082 | Mujer | 2010-05-10 | 2010-06-23 | PG-PAB | Si | |
| 87,561 | 2,016 | CLPA2**091976 | 1976-09-30 | 43 | 31ad06c62fe9fb2787a74b26b7d52c69 | Mujer | 2015-01-07 | 2017-01-01 | PG-PAI | Si | |
| 63,489 | 2,014 | CLPA2**091996 | 1996-09-30 | 23 | 31ad06c62fe9fb2787a74b26b7d52c69 | Mujer | 2014-10-30 | 2014-12-19 | M-PR | Si | |
| 53,980 | 2,014 | CLPA2**091976 | 1976-09-30 | 43 | 31ad06c62fe9fb2787a74b26b7d52c69 | Mujer | 2014-01-13 | 2014-10-30 | PG-PAI | Si | |
| 151,534 | 2,019 | PAES2**111960 | 1960-11-10 | 59 | 31bb867ce29d4100bcc5643d2fdcb541 | NA | Mujer | 2018-12-06 | 2019-07-25 | PG-PAI | No |
| 23,385 | 2,012 | PAES2**111960 | 1960-11-10 | 58 | 31bb867ce29d4100bcc5643d2fdcb541 | Mujer | 2011-10-26 | 2012-02-27 | PG-PAI | Si | |
| 97,448 | 2,016 | RAPE1**051979 | 1979-05-14 | 40 | 31dcb30ebde5c1145e2adf2029dc4212 | Hombre | 2016-05-23 | 2017-01-20 | PG-PAI | Si | |
| 67,747 | 2,015 | RAPE1**051975 | 1975-05-14 | 44 | 31dcb30ebde5c1145e2adf2029dc4212 | Hombre | 2014-05-23 | 2015-01-28 | PG-PAI | Si | |
| 58,055 | 2,014 | RAPE1**051979 | 1979-05-14 | 40 | 31dcb30ebde5c1145e2adf2029dc4212 | Hombre | 2014-05-23 | 2014-06-30 | PG-PAB | Si | |
| 154,386 | 2,019 | FRON1**111960 | 1960-11-07 | 59 | 31e0db96e65c3a0d39bf234c933d6b74 | NA | Hombre | 2019-03-07 | 2019-09-03 | PG-PR | Si |
| 152,188 | 2,019 | FRON1**111960 | 1960-11-07 | 59 | 31e0db96e65c3a0d39bf234c933d6b74 | NA | Hombre | 2019-01-18 | 2019-02-22 | PG-PR | Si |
| 148,050 | 2,019 | FRON1**111960 | 1960-11-07 | 59 | 31e0db96e65c3a0d39bf234c933d6b74 | NA | Hombre | 2018-06-05 | 2019-01-16 | PG-PAI | Si |
| 116,898 | 2,017 | FRON1**111960 | 1960-11-07 | 58 | 31e0db96e65c3a0d39bf234c933d6b74 | NA | Hombre | 2017-03-07 | 2018-02-01 | PG-PAI | Si |
| 73,224 | 2,015 | FRON1**111960 | 1960-11-07 | 58 | 31e0db96e65c3a0d39bf234c933d6b74 | Hombre | 2015-02-18 | 2016-10-31 | PG-PAI | Si | |
| 158,969 | 2,019 | OLSO2**111976 | 1976-11-06 | 43 | 31f30063bbea90e0b11c674684bab257 | NA | Mujer | 2019-07-01 | NA | PG-PAI | Si |
| 154,750 | 2,019 | OLSO2**111976 | 1976-11-06 | 43 | 31f30063bbea90e0b11c674684bab257 | NA | Mujer | 2019-03-19 | 2019-05-13 | M-PR | Si |
| 120,369 | 2,017 | OLSO2**111976 | 1976-11-06 | 42 | 31f30063bbea90e0b11c674684bab257 | NA | Mujer | 2017-06-27 | 2018-01-15 | PG-PAB | Si |
| 98,954 | 2,016 | OLSO2**111976 | 1976-11-06 | 42 | 31f30063bbea90e0b11c674684bab257 | Mujer | 2016-03-23 | 2016-12-15 | PG-PAB | Si | |
| 71,349 | 2,015 | OLSO2**111976 | 1976-11-06 | 42 | 31f30063bbea90e0b11c674684bab257 | Mujer | 2015-01-01 | 2015-05-18 | PG-PAI | Si | |
| 68,931 | 2,015 | OLSO2**111976 | 1976-11-06 | 42 | 31f30063bbea90e0b11c674684bab257 | Mujer | 2014-09-10 | 2015-01-01 | PG-PAB | Si | |
| 78,784 | 2,015 | LEHE1**071983 | 1983-07-12 | 36 | 31fd779027a5b215f896487184e18102 | Hombre | 2015-07-09 | 2015-08-20 | PG-PAI | Si | |
| 16,032 | 2,011 | LEHE1**061984 | 1984-06-20 | 35 | 31fd779027a5b215f896487184e18102 | Hombre | 2011-05-02 | 2011-07-15 | PG-PAB | Si | |
| 121,045 | 2,017 | JADE1**051973 | 1973-05-26 | 46 | 32299ce4851b1c8353a484ff140e7a6c | NA | Hombre | 2017-08-01 | 2017-12-01 | PG-PAI | No |
| 116,460 | 2,017 | JADE1**051976 | 1976-05-26 | 43 | 32299ce4851b1c8353a484ff140e7a6c | NA | Hombre | 2017-04-18 | 2017-07-03 | PG-PAB | Si |
| 94,020 | 2,016 | JADE1**051973 | 1973-05-26 | 46 | 32299ce4851b1c8353a484ff140e7a6c | Hombre | 2016-01-14 | 2016-07-13 | PG-PAB | Si | |
| 81,171 | 2,015 | JADE1**051973 | 1973-05-26 | 46 | 32299ce4851b1c8353a484ff140e7a6c | Hombre | 2015-08-17 | 2015-12-09 | PG-PR | Si | |
| 65,828 | 2,015 | JADE1**051973 | 1973-05-26 | 46 | 32299ce4851b1c8353a484ff140e7a6c | Hombre | 2013-09-03 | 2015-08-17 | PG-PAB | Si | |
| 108,217 | 2,017 | JECE1**071986 | 1986-07-23 | 33 | 32522c6a2199013e31572ef57bbfca9e | NA | Hombre | 2016-07-13 | 2017-03-10 | PG-PR | Si |
| 67,951 | 2,015 | JECE1**071980 | 1980-07-23 | 39 | 32522c6a2199013e31572ef57bbfca9e | Hombre | 2014-07-08 | 2015-06-23 | PG-PAI | Si | |
| 108,726 | 2,017 | CIRE2**081988 | 1988-08-13 | 31 | 32626d30a9695e91b62f5014aa046324 | NA | Mujer | 2016-08-20 | 2017-03-01 | PG-PAI | Si |
| 73,098 | 2,015 | CIRE2**081987 | 1987-08-13 | 32 | 32626d30a9695e91b62f5014aa046324 | Mujer | 2015-02-27 | 2015-09-25 | PG-PAI | Si | |
| 160,768 | 2,019 | MARO2**111991 | 1991-11-09 | 28 | 326a98b886abf6effd6ee5f1a3ac9e02 | NA | Mujer | 2019-08-01 | NA | PG-PAI | Si |
| 92,876 | 2,016 | MARO2**111991 | 1991-11-09 | 27 | 326a98b886abf6effd6ee5f1a3ac9e02 | Mujer | 2016-01-25 | 2016-09-29 | PG-PAI | Si | |
| 151,361 | 2,019 | JOOR1**111971 | 1971-11-28 | 47 | 327c56b083fd224293c1cf4df3c36216 | NA | Hombre | 2018-12-12 | 2019-08-21 | PG-PAI | Si |
| 27,922 | 2,012 | JOOR1**101971 | 1971-10-28 | 48 | 327c56b083fd224293c1cf4df3c36216 | Hombre | 2012-06-18 | 2013-06-25 | PG-PAI | Si | |
| 52,661 | 2,014 | ALVE1**111969 | 1969-11-07 | 49 | 32b7375ff00e9f5a61441647ed779e0e | Hombre | 2013-12-17 | 2014-11-05 | PG-PAI | Si | |
| 39,073 | 2,013 | ALVE1**041994 | 1994-04-09 | 25 | 32b7375ff00e9f5a61441647ed779e0e | Hombre | 2013-04-09 | 2013-10-30 | PG-PAB | Si | |
| 131,744 | 2,018 | ELAL2**101983 | 1983-10-14 | 36 | 32ce9e33e46df01192ffb761f9a1369c | NA | Mujer | 2017-12-05 | 2018-03-05 | M-PR | Si |
| 113,036 | 2,017 | ELAL2**101983 | 1983-10-14 | 36 | 32ce9e33e46df01192ffb761f9a1369c | NA | Mujer | 2017-02-07 | 2017-05-17 | PG-PAI | Si |
| 48,388 | 2,014 | ELAL2**101982 | 1982-10-14 | 37 | 32ce9e33e46df01192ffb761f9a1369c | Mujer | 2013-02-06 | 2014-02-03 | PG-PAI | Si | |
| 74,185 | 2,015 | PESI1**101988 | 1988-10-29 | 31 | 32ef07a34fe819e49e279ffbdcc41d28 | Hombre | 2015-02-18 | 2015-08-28 | PG-PAI | Si | |
| 72,496 | 2,015 | PESI1**101989 | 1989-10-29 | 30 | 32ef07a34fe819e49e279ffbdcc41d28 | Hombre | 2015-02-02 | 2015-02-20 | PG-PAI | Si | |
| 41,908 | 2,013 | PESI1**101989 | 1989-10-29 | 30 | 32ef07a34fe819e49e279ffbdcc41d28 | Hombre | 2013-06-25 | 2013-08-30 | PG-PAI | Si | |
| 33,740 | 2,013 | PESI1**101989 | 1989-10-29 | 30 | 32ef07a34fe819e49e279ffbdcc41d28 | Hombre | 2012-08-09 | 2013-02-01 | PG-PAI | Si | |
| 154,367 | 2,019 | JUCA1**121991 | 1991-12-03 | 27 | 330989a8ceca7deed32f0b3f181d4052 | NA | Hombre | 2019-03-07 | NA | PG-PAI | Si |
| 41,577 | 2,013 | JUCA1**121992 | 1992-12-03 | 26 | 330989a8ceca7deed32f0b3f181d4052 | Hombre | 2013-06-21 | 2013-12-03 | PG-PAI | Si | |
| 160,151 | 2,019 | CLTO1**041989 | 1989-04-20 | 30 | 3310a1613a1336735a265f2e721bfeb4 | NA | Hombre | 2019-08-06 | NA | PG-PAI | Si |
| 127,193 | 2,018 | CLTO1**041984 | 1984-04-20 | 35 | 3310a1613a1336735a265f2e721bfeb4 | NA | Hombre | 2017-04-17 | 2018-03-31 | PG-PAI | Si |
| 98,952 | 2,016 | GEPE1**021980 | 1980-02-02 | 39 | 334b36946018634857b9b87ac7b418d3 | Hombre | 2016-06-30 | 2016-08-14 | PG-PR | Si | |
| 62,994 | 2,014 | GEPE1**021986 | 1986-02-02 | 33 | 334b36946018634857b9b87ac7b418d3 | Hombre | 2014-10-21 | 2015-02-24 | PG-PAI | Si | |
| 6,494 | 2,010 | GEPE1**021986 | 1986-02-02 | 33 | 334b36946018634857b9b87ac7b418d3 | Hombre | 2010-07-08 | 2010-11-16 | PG-PAI | Si | |
| 133,460 | 2,018 | ALME1**051985 | 1985-05-17 | 34 | 3381562aa4abb50a1d7f5ce3c579eba3 | NA | Hombre | 2018-02-05 | 2018-10-24 | PG-PR | Si |
| 114,696 | 2,017 | ALME1**051982 | 1982-05-17 | 37 | 3381562aa4abb50a1d7f5ce3c579eba3 | NA | Hombre | 2017-03-02 | 2017-08-01 | PG-PAB | Si |
| 152,534 | 2,019 | MIDI1**111986 | 1986-11-09 | 33 | 33a21c3dd4acbec3f25f204a6d9e48ab | NA | Hombre | 2019-01-01 | 2019-06-30 | PG-PAI | Si |
| 142,242 | 2,018 | MIDI1**111986 | 1986-11-09 | 32 | 33a21c3dd4acbec3f25f204a6d9e48ab | NA | Hombre | 2018-09-26 | 2018-12-31 | PG-PAB | Si |
| 86,470 | 2,016 | RABU1**061981 | 1981-06-08 | 38 | 33dc4e1364642a5b7eb13a3ba545532c | Hombre | 2015-02-17 | 2016-05-02 | PG-PAB | Si | |
| 36,462 | 2,013 | RABU1**061981 | 1981-06-08 | 38 | 33dc4e1364642a5b7eb13a3ba545532c | Hombre | 2013-01-03 | 2014-01-24 | PG-PAB | Si | |
| 24,835 | 2,012 | RABU1**061982 | 1982-06-08 | 37 | 33dc4e1364642a5b7eb13a3ba545532c | Hombre | 2012-02-10 | 2013-01-22 | PG-PR | Si | |
| 21,729 | 2,012 | RABU1**061981 | 1981-06-08 | 38 | 33dc4e1364642a5b7eb13a3ba545532c | Hombre | 2011-07-26 | 2012-02-10 | PG-PAB | Si | |
| 118,448 | 2,017 | YURA2**051988 | 1988-05-15 | 31 | 33fb9ba7dcff4958ae21bd7946683e5d | NA | Mujer | 2017-06-19 | 2017-09-04 | PG-PAI | Si |
| 5,406 | 2,010 | YURA2**051985 | 1985-05-15 | 34 | 33fb9ba7dcff4958ae21bd7946683e5d | Mujer | 2010-05-27 | 2010-11-04 | PG-PAI | Si | |
| 162,079 | 2,019 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | NA | Mujer | 2019-09-02 | NA | PG-PAI | Si |
| 142,243 | 2,018 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | NA | Mujer | 2018-09-12 | 2018-10-31 | M-PAI | Si |
| 132,169 | 2,018 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | NA | Mujer | 2017-12-04 | 2018-08-20 | M-PR | Si |
| 114,067 | 2,017 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | NA | Mujer | 2017-03-06 | 2017-08-31 | M-PR | Si |
| 94,544 | 2,016 | ANVA2**081964 | 1964-08-25 | 55 | 344672bbb9d769cfa05aadcb77efec0e | Mujer | 2016-03-07 | 2016-05-31 | M-PR | Si | |
| 79,095 | 2,015 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | Mujer | 2015-07-25 | 2015-07-27 | Otro | No | |
| 34,058 | 2,013 | ANVA2**081974 | 1974-08-25 | 45 | 344672bbb9d769cfa05aadcb77efec0e | Mujer | 2012-09-21 | 2013-10-05 | M-PR | Si | |
| 91,839 | 2,016 | RAPI1**081963 | 1963-08-14 | 56 | 34578c63f698c9eeb1b259849005f307 | Hombre | 2015-12-15 | 2016-05-27 | PG-PR | No | |
| 35,095 | 2,013 | RAPI1**081993 | 1993-08-14 | 26 | 34578c63f698c9eeb1b259849005f307 | Hombre | 2012-11-21 | 2014-03-31 | PG-PAI | Si | |
| 142,884 | 2,018 | NARI2**011973 | 1973-01-19 | 46 | 3482d29960bbff64737ceb997385f2eb | NA | Mujer | 2018-08-29 | 2018-12-01 | PG-PAI | Si |
| 92,646 | 2,016 | NARI2**011973 | 1973-01-19 | 46 | 3482d29960bbff64737ceb997385f2eb | Mujer | 2016-01-11 | 2016-04-27 | M-PAI | Si | |
| 68,659 | 2,015 | NARI2**011974 | 1974-01-19 | 45 | 3482d29960bbff64737ceb997385f2eb | Mujer | 2014-09-23 | 2015-06-01 | M-PAI | Si | |
| 36,930 | 2,013 | NARI2**011973 | 1973-01-19 | 46 | 3482d29960bbff64737ceb997385f2eb | Mujer | 2013-01-03 | 2013-09-02 | PG-PAI | Si | |
| 12,422 | 2,011 | NARI2**011991 | 1991-01-19 | 28 | 3482d29960bbff64737ceb997385f2eb | Mujer | 2010-12-16 | 2012-01-27 | PG-PAI | Si | |
| 2,439 | 2,010 | NARI2**011973 | 1973-01-19 | 46 | 3482d29960bbff64737ceb997385f2eb | Mujer | 2009-10-20 | 2010-10-29 | PG-PAI | Si | |
| 128,961 | 2,018 | SOMI2**091952 | 1952-09-25 | 67 | 348a1f8f6db20f720b48039db4fdd358 | NA | Mujer | 2017-08-03 | 2018-05-01 | PG-PAB | Si |
| 86,862 | 2,016 | SOMI2**111952 | 1952-11-25 | 66 | 348a1f8f6db20f720b48039db4fdd358 | Mujer | 2015-03-24 | 2017-01-06 | M-PAI | Si | |
| 81,194 | 2,015 | MIGA1**121984 | 1984-12-22 | 34 | 34ece0ad663802b1a76dbea84d6cbe26 | Hombre | 2015-08-03 | 2015-11-19 | PG-PR | Si | |
| 11,350 | 2,011 | MIGA1**121985 | 1985-12-22 | 33 | 34ece0ad663802b1a76dbea84d6cbe26 | Hombre | 2010-09-01 | 2011-06-03 | PG-PAB | Si | |
| 126,153 | 2,018 | YIES1**101978 | 1978-10-27 | 41 | 3506445ba7d2019a815bdcdecfa9d5f9 | NA | Hombre | 2016-07-27 | 2018-03-27 | PG-PAI | Si |
| 56,522 | 2,014 | YIES1**101979 | 1979-10-27 | 40 | 3506445ba7d2019a815bdcdecfa9d5f9 | Hombre | 2014-04-03 | 2014-12-17 | PG-PAI | Si | |
| 145,947 | 2,019 | JOCE2**031982 | 1982-03-21 | 37 | 3571318419a7f9b809216b30fafafee5 | NA | Mujer | 2017-05-29 | NA | PG-PAI | Si |
| 109,955 | 2,017 | JOCE2**031982 | 1982-03-21 | 37 | 3571318419a7f9b809216b30fafafee5 | NA | Mujer | 2016-10-27 | 2017-05-09 | M-PR | Si |
| 92,100 | 2,016 | JOCE2**031981 | 1981-03-21 | 38 | 3571318419a7f9b809216b30fafafee5 | Mujer | 2016-01-11 | 2016-10-03 | M-PAI | Si | |
| 80,977 | 2,015 | JOCE2**031982 | 1982-03-21 | 37 | 3571318419a7f9b809216b30fafafee5 | Mujer | 2015-08-26 | 2015-10-19 | M-PR | Si | |
| 68,958 | 2,015 | JOCE2**031982 | 1982-03-21 | 37 | 3571318419a7f9b809216b30fafafee5 | Mujer | 2014-09-11 | 2015-07-30 | PG-PAI | Si | |
| 54,068 | 2,014 | JOCE2**031982 | 1982-03-21 | 37 | 3571318419a7f9b809216b30fafafee5 | Mujer | 2014-01-27 | 2014-04-11 | PG-PAI | Si | |
| 157,672 | 2,019 | MABA1**111969 | 1969-11-13 | 50 | 3656d3aefb3ed43577327834e9b37b44 | NA | Hombre | 2019-05-02 | NA | PG-PAB | Si |
| 117,579 | 2,017 | MABA1**111969 | 1969-11-13 | 49 | 3656d3aefb3ed43577327834e9b37b44 | NA | Hombre | 2017-05-31 | 2017-09-04 | PG-PAB | Si |
| 73,334 | 2,015 | MABA1**111969 | 1969-11-13 | 49 | 3656d3aefb3ed43577327834e9b37b44 | Hombre | 2015-03-02 | 2015-05-04 | PG-PAI | Si | |
| 12,357 | 2,011 | JUSA1**071963 | 1963-07-01 | 56 | 3656ff085226d53e21d98d4fcfe15eac | Hombre | 2010-11-16 | 2011-01-31 | PG-PR | Si | |
| 2,899 | 2,010 | JUSA1**031969 | 1969-03-20 | 50 | 3656ff085226d53e21d98d4fcfe15eac | Hombre | 2009-10-07 | 2010-02-04 | PG-PAI | Si | |
| 148,253 | 2,019 | RILE1**071985 | 1985-07-02 | 34 | 36a2ee68b246e1ea235b97d13688afb9 | NA | Hombre | 2018-07-06 | 2019-06-30 | PG-PAI | Si |
| 39,626 | 2,013 | RILE1**071987 | 1987-07-02 | 32 | 36a2ee68b246e1ea235b97d13688afb9 | Hombre | 2013-05-14 | 2013-12-16 | PG-PAI | Si | |
| 21,220 | 2,012 | RILE1**071985 | 1985-07-02 | 34 | 36a2ee68b246e1ea235b97d13688afb9 | Hombre | 2011-03-28 | 2012-03-05 | PG-PAI | Si | |
| 32,450 | 2,013 | GLVA2**051962 | 1962-05-10 | 57 | 36d45e88fe205cc3b96f426cb05f261a | Mujer | 2012-01-02 | 2013-04-09 | PG-PAI | Si | |
| 19,087 | 2,011 | GLVA2**051963 | 1963-05-11 | 56 | 36d45e88fe205cc3b96f426cb05f261a | Mujer | 2011-10-03 | 2011-12-19 | PG-PAI | Si | |
| 124,298 | 2,017 | MACO1**061973 | 1973-06-01 | 46 | 371183372e973f1876cf3588d0980de6 | NA | Hombre | 2017-10-24 | 2017-11-30 | PG-PAB | Si |
| 69,048 | 2,015 | MACA1**061976 | 1976-06-01 | 43 | 371183372e973f1876cf3588d0980de6 | Hombre | 2014-10-09 | 2015-10-30 | PG-PAB | Si | |
| 143,857 | 2,018 | AMMA1**031988 | 1988-03-09 | 31 | 3734975037abaebdfdf698ca008c47c5 | NA | Hombre | 2018-09-10 | 2018-12-03 | PG-PAB | Si |
| 43,219 | 2,013 | AMMA1**031980 | 1980-03-09 | 39 | 3734975037abaebdfdf698ca008c47c5 | Hombre | 2013-08-06 | 2013-09-30 | PG-PAI | Si | |
| 148,817 | 2,019 | JOVA1**091989 | 1989-09-01 | 30 | 375ebe35f4a93489d3bd019c488d6891 | NA | Hombre | 2018-08-02 | 2019-01-10 | PG-PAB | Si |
| 116,740 | 2,017 | JOVA1**091990 | 1990-09-11 | 29 | 375ebe35f4a93489d3bd019c488d6891 | NA | Hombre | 2017-05-09 | 2017-07-06 | PG-PAI | Si |
| 153,859 | 2,019 | MAAG2**121986 | 1986-12-24 | 32 | 377273a38d5cb3227cbd2ce946bfc741 | NA | Mujer | 2018-12-05 | NA | M-PAI | Si |
| 101,205 | 2,016 | MAAG2**081996 | 1996-08-09 | 23 | 377273a38d5cb3227cbd2ce946bfc741 | Mujer | 2016-08-09 | 2016-09-30 | M-PAI | Si | |
| 23,086 | 2,012 | RAVE1**041982 | 1982-04-15 | 37 | 37b7097799ebf4a405819aefa5482291 | Hombre | 2011-07-27 | 2012-09-04 | PG-PAI | Si | |
| 6,065 | 2,010 | RAVE1**041983 | 1983-04-15 | 36 | 37b7097799ebf4a405819aefa5482291 | Hombre | 2010-04-05 | 2010-07-26 | PG-PAI | No | |
| 93,357 | 2,016 | VIPA1**041980 | 1980-04-21 | 39 | 37c0271df633294bfeb3c6c729ff7c01 | Hombre | 2016-02-02 | 2016-06-29 | PG-PAB | Si | |
| 85,899 | 2,016 | MABA1**071971 | 1971-07-29 | 48 | 37c0271df633294bfeb3c6c729ff7c01 | Hombre | 2014-09-30 | 2016-02-01 | PG-PAB | Si | |
| 12,258 | 2,011 | MABA1**071991 | 1991-07-25 | 28 | 37c0271df633294bfeb3c6c729ff7c01 | Hombre | 2010-10-28 | 2011-07-19 | PG-PAB | Si | |
| 134,523 | 2,018 | JEGO2**081966 | 1966-08-28 | 53 | 37c23bd198cb3ac54405f3416c2a0185 | NA | Mujer | 2017-11-29 | 2018-09-04 | M-PAI | Si |
| 49,615 | 2,014 | JUVI2**071961 | 1961-07-06 | 58 | 37c23bd198cb3ac54405f3416c2a0185 | Mujer | 2013-06-11 | 2014-06-04 | M-PAI | Si | |
| 37,153 | 2,013 | JUPI1**021969 | 1969-02-19 | 50 | 37ee83b7040a6178204f1572d86e764e | Hombre | 2011-02-03 | 2013-06-03 | PG-PAI | Si | |
| 22,249 | 2,012 | JUPI1**121969 | 1969-12-19 | 49 | 37ee83b7040a6178204f1572d86e764e | Hombre | 2011-02-03 | 2012-08-01 | PG-PAI | Si | |
| 109,739 | 2,017 | CAAL1**071989 | 1989-07-04 | 30 | 3804e39cc0bb5fbd848f28f1296ed8d9 | NA | Hombre | 2016-10-24 | 2017-05-01 | PG-PAB | Si |
| 44,662 | 2,013 | CAAL1**071989 | 1989-07-04 | 30 | 3804e39cc0bb5fbd848f28f1296ed8d9 | Hombre | 2013-09-05 | 2013-11-15 | PG-PAI | Si | |
| 43,985 | 2,013 | CAAL1**071994 | 1994-07-04 | 25 | 3804e39cc0bb5fbd848f28f1296ed8d9 | Hombre | 2013-08-12 | 2013-08-29 | PG-PAB | Si | |
| 147,669 | 2,019 | EUPE1**021961 | 1961-02-11 | 58 | 381a2dc32fe3d36504712599d46201ba | NA | Hombre | 2018-06-04 | 2019-08-01 | PG-PAI | Si |
| 89,428 | 2,016 | EUPE1**021961 | 1961-02-11 | 58 | 381a2dc32fe3d36504712599d46201ba | Hombre | 2015-09-01 | 2016-08-25 | PG-PR | Si | |
| 51,192 | 2,014 | EUPE1**021962 | 1962-02-11 | 57 | 381a2dc32fe3d36504712599d46201ba | Hombre | 2013-06-18 | 2014-06-04 | PG-PAI | Si | |
| 24,387 | 2,012 | MAMA1**021961 | 1961-02-11 | 58 | 381a2dc32fe3d36504712599d46201ba | Hombre | 2011-12-28 | 2012-05-02 | PG-PR | Si | |
| 15,353 | 2,011 | EUPE1**021961 | 1961-02-11 | 58 | 381a2dc32fe3d36504712599d46201ba | Hombre | 2011-04-14 | 2011-09-29 | PG-PR | Si | |
| 118,824 | 2,017 | ESCA1**111977 | 1977-11-12 | 41 | 381d79d95e5654259928452f360bac90 | NA | Hombre | 2017-06-05 | 2017-11-30 | PG-PAI | Si |
| 4,370 | 2,010 | ESCA1**111976 | 1976-11-12 | 42 | 381d79d95e5654259928452f360bac90 | Hombre | 2010-03-02 | 2010-04-28 | PG-PAI | Si | |
| 73,991 | 2,015 | EDGO1**121983 | 1983-12-17 | 35 | 384f486926a176ed920cb47bafc0b7a5 | Hombre | 2015-03-16 | 2015-06-26 | PG-PAI | Si | |
| 13,534 | 2,011 | EDGO1**021983 | 1983-02-17 | 36 | 384f486926a176ed920cb47bafc0b7a5 | Hombre | 2011-01-27 | 2011-03-15 | PG-PAI | Si | |
| 74,935 | 2,015 | CRRA1**011992 | 1992-01-29 | 27 | 386e5be4184bedd2837d2a373260afa2 | Hombre | 2015-04-06 | 2015-05-06 | PG-PAI | Si | |
| 12,523 | 2,011 | CRRA1**011991 | 1991-01-29 | 28 | 386e5be4184bedd2837d2a373260afa2 | Hombre | 2010-01-05 | 2011-05-08 | PG-PR | No | |
| 53,118 | 2,014 | JOZU1**021978 | 1978-02-20 | 41 | 38c8f453238f2ba9ac47c44e6cc70cf8 | Hombre | 2014-01-08 | 2014-05-01 | PG-PR | Si | |
| 43,883 | 2,013 | JOZU1**021988 | 1988-02-20 | 31 | 38c8f453238f2ba9ac47c44e6cc70cf8 | Hombre | 2013-08-16 | 2013-10-28 | PG-PAI | Si | |
| 89,113 | 2,016 | BRCA1**041989 | 1989-04-29 | 30 | 38de02ad4439e9db13dd15930a2af295 | Hombre | 2015-09-01 | 2016-03-03 | PG-PAI | Si | |
| 51,785 | 2,014 | BRCA1**041988 | 1988-04-29 | 31 | 38de02ad4439e9db13dd15930a2af295 | Hombre | 2013-10-16 | 2014-02-28 | PG-PAB | Si | |
| 157,113 | 2,019 | LUAR1**101957 | 1957-10-20 | 62 | 38e0aea6e86d22aa31c1f4581afa826e | NA | Hombre | 2019-05-08 | 2019-08-30 | PG-PAI | Si |
| 150,899 | 2,019 | LUAR1**101955 | 1955-10-20 | 64 | 38e0aea6e86d22aa31c1f4581afa826e | NA | Hombre | 2018-11-19 | 2019-01-31 | PG-PAI | Si |
| 130,037 | 2,018 | HAHA1**091990 | 1990-09-07 | 29 | 38ed68271f00d5bf68c00cf32597bce6 | NA | Hombre | 2017-10-13 | 2018-03-28 | PG-PR | No |
| 121,092 | 2,017 | HAHA1**111990 | 1990-11-07 | 28 | 38ed68271f00d5bf68c00cf32597bce6 | NA | Hombre | 2017-07-28 | 2017-10-12 | PG-PAI | Si |
| 117,272 | 2,017 | CLJA2**051984 | 1984-05-02 | 35 | 390a5418da5cfe21d0a8bc39fe865a48 | NA | Mujer | 2017-04-04 | 2018-01-01 | PG-PAB | Si |
| 100,027 | 2,016 | CLJA2**031982 | 1982-03-03 | 37 | 390a5418da5cfe21d0a8bc39fe865a48 | Mujer | 2016-07-01 | 2016-10-03 | PG-PAB | Si | |
| 85,666 | 2,016 | RAVA1**121970 | 1970-12-19 | 48 | 39565dcfbefb1613eee3dda85fc8f100 | Hombre | 2014-05-29 | 2016-08-17 | PG-PAB | Si | |
| 7,493 | 2,010 | RAVA1**081970 | 1970-08-19 | 49 | 39565dcfbefb1613eee3dda85fc8f100 | Hombre | 2010-08-30 | 2010-12-08 | PG-PAB | Si | |
| 134,023 | 2,018 | JOPO1**071982 | 1982-07-09 | 37 | 396f68c31d14ffa8d5271210e9df0aeb | NA | Hombre | 2018-02-22 | 2018-02-28 | PG-PR | Si |
| 95,247 | 2,016 | JOPO1**071982 | 1982-07-09 | 37 | 396f68c31d14ffa8d5271210e9df0aeb | Hombre | 2016-03-21 | 2016-03-31 | PG-PR | Si | |
| 75,943 | 2,015 | JOPO1**061983 | 1983-06-09 | 36 | 396f68c31d14ffa8d5271210e9df0aeb | Hombre | 2015-04-30 | 2015-06-17 | PG-PR | Si | |
| 31,622 | 2,012 | JOPO1**071982 | 1982-07-09 | 37 | 396f68c31d14ffa8d5271210e9df0aeb | Hombre | 2012-11-27 | 2012-12-08 | PG-PR | Si | |
| 26,383 | 2,012 | JOPO1**071982 | 1982-07-09 | 37 | 396f68c31d14ffa8d5271210e9df0aeb | Hombre | 2012-04-13 | 2012-05-28 | PG-PR | Si | |
| 23,145 | 2,012 | JOPO1**071982 | 1982-07-09 | 37 | 396f68c31d14ffa8d5271210e9df0aeb | Hombre | 2011-11-02 | 2012-04-13 | PG-PAI | Si | |
| 115,078 | 2,017 | ARAR1**031965 | 1965-03-18 | 54 | 39f02a1487a3c26128a28036c059c570 | NA | Hombre | 2017-03-28 | 2017-12-01 | PG-PR | Si |
| 114,190 | 2,017 | ARAR1**031951 | 1951-03-08 | 68 | 39f02a1487a3c26128a28036c059c570 | NA | Hombre | 2017-03-02 | 2017-03-27 | PG-PAB | Si |
| 23,796 | 2,012 | ARAR1**051965 | 1965-05-18 | 54 | 39f02a1487a3c26128a28036c059c570 | Hombre | 2012-01-13 | 2012-12-20 | PG-PAI | Si | |
| 56,104 | 2,014 | CEAL1**031972 | 1972-03-14 | 47 | 3a00eb1794c091a0bc8f8d22ff9d12af | Hombre | 2014-03-14 | 2014-08-05 | PG-PAB | Si | |
| 7,987 | 2,010 | CEAL1**081971 | 1971-08-19 | 48 | 3a00eb1794c091a0bc8f8d22ff9d12af | Hombre | 2010-09-16 | 2010-12-20 | Otro | No | |
| 133,612 | 2,018 | ALVA1**091985 | 1985-09-08 | 34 | 3a1343cc9e7d83acbac74889ca46f1cb | NA | Hombre | 2017-12-26 | 2018-06-01 | PG-PAB | Si |
| 118,808 | 2,017 | ALVA1**091985 | 1985-09-08 | 34 | 3a1343cc9e7d83acbac74889ca46f1cb | NA | Hombre | 2017-06-30 | 2017-10-12 | PG-PR | Si |
| 117,567 | 2,017 | ALVA1**091983 | 1983-09-08 | 36 | 3a1343cc9e7d83acbac74889ca46f1cb | NA | Hombre | 2017-05-16 | 2017-06-29 | PG-PAB | Si |
| 101,173 | 2,016 | ALVA1**091985 | 1985-09-08 | 34 | 3a1343cc9e7d83acbac74889ca46f1cb | Hombre | 2016-05-20 | 2016-10-01 | PG-PAI | Si | |
| 26,840 | 2,012 | ANZU2**041977 | 1977-04-12 | 42 | 3a21306b2e2b7f2484fc69ffa09046ed | Mujer | 2012-05-16 | 2012-05-30 | M-PR | Si | |
| 25,884 | 2,012 | ANZU2**041977 | 1977-04-12 | 42 | 3a21306b2e2b7f2484fc69ffa09046ed | Mujer | 2012-03-29 | 2012-05-18 | M-PAI | Si | |
| 17,375 | 2,011 | ANZU2**041977 | 1977-04-12 | 42 | 3a21306b2e2b7f2484fc69ffa09046ed | Mujer | 2011-07-27 | 2012-01-31 | M-PAI | Si | |
| 9,273 | 2,010 | ANZU2**041977 | 1977-04-12 | 42 | 3a21306b2e2b7f2484fc69ffa09046ed | Mujer | 2010-11-09 | 2010-12-17 | M-PR | Si | |
| 6,094 | 2,010 | ANZU2**041991 | 1991-04-12 | 28 | 3a21306b2e2b7f2484fc69ffa09046ed | Mujer | 2010-06-07 | 2010-11-05 | PG-PAB | Si | |
| 130,567 | 2,018 | MASA2**081983 | 1983-08-08 | 36 | 3a386175a587f6a502ad093c71e36de3 | NA | Mujer | 2017-09-14 | 2018-08-01 | PG-PAI | Si |
| 118,133 | 2,017 | MASA2**081983 | 1983-08-08 | 36 | 3a386175a587f6a502ad093c71e36de3 | NA | Mujer | 2017-06-14 | 2017-07-31 | M-PR | Si |
| 51,297 | 2,014 | MASA2**081983 | 1983-08-08 | 36 | 3a386175a587f6a502ad093c71e36de3 | Mujer | 2013-10-01 | 2014-07-29 | PG-PAB | Si | |
| 19,404 | 2,011 | MASA2**101992 | 1992-10-03 | 27 | 3a386175a587f6a502ad093c71e36de3 | Mujer | 2011-10-03 | 2012-01-02 | PG-PAI | Si | |
| 38,597 | 2,013 | MOJI2**031964 | 1964-03-31 | 55 | 3a39dfdc03dd3fbbbf58fa9697bd839f | Mujer | 2013-04-01 | 2013-05-07 | M-PAI | Si | |
| 32,530 | 2,013 | MOJI2**031964 | 1964-03-31 | 55 | 3a39dfdc03dd3fbbbf58fa9697bd839f | Mujer | 2012-02-21 | 2013-03-07 | M-PR | Si | |
| 3,203 | 2,010 | MOJI2**031969 | 1969-03-31 | 50 | 3a39dfdc03dd3fbbbf58fa9697bd839f | Mujer | 2009-03-13 | 2010-05-04 | PG-PAI | Si | |
| 22,105 | 2,012 | PARI2**121978 | 1978-12-27 | 40 | 3a45df2c093f7047c203a08add140e1e | Mujer | 2011-08-01 | 2012-06-08 | PG-PAB | Si | |
| 3,988 | 2,010 | PARI2**121988 | 1988-12-27 | 30 | 3a45df2c093f7047c203a08add140e1e | Mujer | 2010-03-08 | 2010-06-25 | PG-PAB | Si | |
| 36,121 | 2,013 | FAPA1**111985 | 1985-11-14 | 33 | 3a573de0cdadf7c2500143ca37a99e36 | Hombre | 2013-01-29 | 2013-07-05 | PG-PR | No | |
| 33,420 | 2,013 | FAPA1**111984 | 1984-11-14 | 34 | 3a573de0cdadf7c2500143ca37a99e36 | Hombre | 2012-07-17 | 2013-01-30 | PG-PAI | Si | |
| 25,049 | 2,012 | FAPA1**111985 | 1985-11-14 | 33 | 3a573de0cdadf7c2500143ca37a99e36 | Hombre | 2012-02-20 | 2012-06-15 | PG-PAI | Si | |
| 85,956 | 2,016 | KAFU2**051975 | 1975-05-10 | 44 | 3a7146f99ed2c8d6c275c410be1f8afc | Mujer | 2014-10-24 | 2016-12-20 | PG-PAI | Si | |
| 49,074 | 2,014 | KAFU2**051994 | 1994-05-10 | 25 | 3a7146f99ed2c8d6c275c410be1f8afc | Mujer | 2013-05-08 | 2014-03-31 | PG-PAI | Si | |
| 158,133 | 2,019 | MISA1**021992 | 1992-02-24 | 27 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | NA | Hombre | 2019-06-11 | NA | PG-PR | Si |
| 136,785 | 2,018 | MISA1**021992 | 1992-02-24 | 27 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | NA | Hombre | 2018-01-31 | 2018-09-03 | PG-PAI | Si |
| 124,084 | 2,017 | MISA1**111992 | 1992-11-24 | 26 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | NA | Hombre | 2017-11-20 | 2018-01-30 | PG-PAI | Si |
| 99,658 | 2,016 | MISA1**021992 | 1992-02-24 | 27 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | Hombre | 2016-07-01 | 2016-10-03 | PG-PAI | Si | |
| 93,817 | 2,016 | MISA1**021992 | 1992-02-24 | 27 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | Hombre | 2016-02-16 | 2016-02-25 | PG-PR | Si | |
| 92,729 | 2,016 | MISA1**021992 | 1992-02-24 | 27 | 3a75e77a4ce5b30b7d2a9f3666e30c6d | Hombre | 2016-01-04 | 2016-02-15 | PG-PAI | Si | |
| 115,490 | 2,017 | FEGO1**071990 | 1990-07-10 | 29 | 3b6b0d5597eb3e49a55e4573f6da281c | NA | Hombre | 2017-04-12 | 2017-11-24 | PG-PR | Si |
| 111,130 | 2,017 | FEGO1**061989 | 1989-06-10 | 30 | 3b6b0d5597eb3e49a55e4573f6da281c | NA | Hombre | 2016-11-18 | 2017-04-11 | PG-PAI | Si |
| 118,976 | 2,017 | MALO1**091972 | 1972-09-26 | 47 | 3b6f56c451c233f26335d161b7362c25 | NA | Hombre | 2017-06-20 | 2017-07-05 | PG-PR | Si |
| 75,679 | 2,015 | MALO1**091976 | 1976-09-26 | 43 | 3b6f56c451c233f26335d161b7362c25 | Hombre | 2015-03-27 | 2015-06-26 | PG-PAB | Si | |
| 65,859 | 2,015 | RIAC1**111963 | 1963-11-11 | 55 | 3b8b26bc16ce8e1bd91c39bb3fb45def | Hombre | 2013-08-26 | 2015-07-31 | PG-PAI | Si | |
| 37,423 | 2,013 | RIAC1**111963 | 1963-11-11 | 55 | 3b8b26bc16ce8e1bd91c39bb3fb45def | Hombre | 2013-02-05 | 2013-06-14 | PG-PR | No | |
| 35,388 | 2,013 | RIAC1**111963 | 1963-11-11 | 55 | 3b8b26bc16ce8e1bd91c39bb3fb45def | Hombre | 2013-01-01 | 2013-01-18 | PG-PR | No | |
| 4,458 | 2,010 | RIAC1**031963 | 1963-03-30 | 56 | 3b8b26bc16ce8e1bd91c39bb3fb45def | Hombre | 2010-03-30 | 2010-08-31 | PG-PAI | Si | |
| 120,191 | 2,017 | ALGO1**041989 | 1989-04-25 | 30 | 3b9953bce1926a1de01159f3cca3213e | NA | Hombre | 2017-07-20 | 2017-09-05 | PG-PAB | Si |
| 116,208 | 2,017 | ALGO2**041999 | 1999-04-25 | 20 | 3b9953bce1926a1de01159f3cca3213e | NA | Mujer | 2017-04-26 | 2017-06-01 | PG-PAB | Si |
| 61,418 | 2,014 | ALGO2**041989 | 1989-04-25 | 30 | 3b9953bce1926a1de01159f3cca3213e | Mujer | 2014-08-18 | 2014-11-10 | M-PAI | Si | |
| 17,827 | 2,011 | CARE2**101965 | 1965-10-09 | 54 | 3bac62b75bac67e735e439ab55e88098 | Mujer | 2011-08-05 | 2011-10-19 | PG-PAI | Si | |
| 263 | 2,010 | CARE2**111965 | 1965-11-09 | 53 | 3bac62b75bac67e735e439ab55e88098 | Mujer | 2008-12-02 | 2010-01-29 | PG-PAB | Si | |
| 48,096 | 2,014 | CO-F2**071981 | 1981-07-13 | 38 | 3bbea54bc0d42b2b68a9e092e8547fc1 | Mujer | 2012-10-26 | 2014-09-02 | M-PAI | Si | |
| 12,841 | 2,011 | COFO2**071982 | 1982-07-13 | 37 | 3bbea54bc0d42b2b68a9e092e8547fc1 | Mujer | 2009-10-15 | 2011-05-31 | M-PAI | Si | |
| 6,105 | 2,010 | COFO2**071982 | 1982-07-13 | 37 | 3bbea54bc0d42b2b68a9e092e8547fc1 | Mujer | 2010-06-17 | 2010-07-01 | PG-PAB | No | |
| 6,791 | 2,010 | COFO2**071982 | 1982-07-13 | 37 | 3bbea54bc0d42b2b68a9e092e8547fc1 | Mujer | 2009-10-23 | 2010-12-31 | PG-PAB | Si | |
| 450 | 2,010 | COFO2**071982 | 1982-07-13 | 37 | 3bbea54bc0d42b2b68a9e092e8547fc1 | Mujer | 2009-10-23 | 2010-04-30 | PG-PAB | Si | |
| 55,751 | 2,014 | EDOL1**051999 | 1999-05-04 | 20 | 3bf683b688905bc5a7d123f0d417a4db | Hombre | 2014-03-17 | 2014-07-02 | PG-PR | Si | |
| 22,665 | 2,012 | EDOL1**101992 | 1992-10-04 | 27 | 3bf683b688905bc5a7d123f0d417a4db | Hombre | 2011-10-24 | 2012-03-02 | PG-PR | Si | |
| 119,196 | 2,017 | EDVA1**041978 | 1978-04-03 | 41 | 3c40a5378f42a65896b3f9df0991086f | NA | Hombre | 2017-06-26 | 2017-08-28 | PG-PAI | Si |
| 115,551 | 2,017 | EDVA1**041988 | 1988-04-03 | 31 | 3c40a5378f42a65896b3f9df0991086f | NA | Hombre | 2017-03-06 | 2017-06-22 | PG-PR | Si |
| 115,235 | 2,017 | EDVA1**041988 | 1988-04-03 | 31 | 3c40a5378f42a65896b3f9df0991086f | NA | Hombre | 2017-02-06 | 2017-03-01 | PG-PR | Si |
| 104,928 | 2,016 | EDVA1**041978 | 1978-04-03 | 41 | 3c40a5378f42a65896b3f9df0991086f | Hombre | 2016-12-14 | 2017-01-31 | PG-PAI | Si | |
| 153,217 | 2,019 | IRMU2**031967 | 1967-03-22 | 52 | 3c7ae70b602f0901d7b1da2582fe5c59 | NA | Mujer | 2019-02-08 | 2019-09-26 | PG-PAI | Si |
| 112,188 | 2,017 | IRMU2**031967 | 1967-03-22 | 52 | 3c7ae70b602f0901d7b1da2582fe5c59 | NA | Mujer | 2017-01-27 | 2017-08-23 | M-PAI | Si |
| 93,475 | 2,016 | IRMU2**081968 | 1968-08-07 | 51 | 3c7ae70b602f0901d7b1da2582fe5c59 | Mujer | 2016-02-01 | 2016-07-01 | PG-PAI | Si | |
| 154,816 | 2,019 | OLME2**121980 | 1980-12-09 | 38 | 3cb1ef4b7345a35f465f1487e5df6ce9 | NA | Mujer | 2018-12-14 | 2019-08-30 | PG-PAI | Si |
| 50,094 | 2,014 | OLME2**081994 | 1994-08-05 | 25 | 3cb1ef4b7345a35f465f1487e5df6ce9 | Mujer | 2013-08-05 | 2014-12-18 | PG-PAI | Si | |
| 92,836 | 2,016 | JOCA1**041960 | 1960-04-27 | 59 | 3d0a7d37e269ef2c7af0904ca38a372f | Hombre | 2016-01-07 | 2016-06-09 | PG-PR | Si | |
| 66,616 | 2,015 | JOCA1**041961 | 1961-04-27 | 58 | 3d0a7d37e269ef2c7af0904ca38a372f | Hombre | 2014-03-17 | 2015-01-30 | PG-PAI | Si | |
| 32,550 | 2,013 | JOCA2**041961 | 1961-04-27 | 58 | 3d0a7d37e269ef2c7af0904ca38a372f | Mujer | 2012-02-15 | 2013-01-14 | PG-PAI | Si | |
| 159,740 | 2,019 | ALPL1**111975 | 1975-11-07 | 44 | 3d429bd3650dcfa355f2866128e370ac | NA | Hombre | 2019-07-11 | NA | PG-PAB | Si |
| 28,673 | 2,012 | ALPL1**111975 | 1975-11-07 | 43 | 3d429bd3650dcfa355f2866128e370ac | Hombre | 2012-07-24 | 2012-11-28 | PG-PAI | Si | |
| 70,680 | 2,015 | PIIN1**121987 | 1987-12-17 | 31 | 3d4672352143804b176bef2d0c41a29e | Hombre | 2014-12-02 | 2015-05-29 | PG-PAI | Si | |
| 34,407 | 2,013 | PIIN1**121986 | 1986-12-17 | 32 | 3d4672352143804b176bef2d0c41a29e | Hombre | 2012-10-09 | 2013-08-23 | PG-PAI | Si | |
| 2,970 | 2,010 | PIIN1**121987 | 1987-12-17 | 31 | 3d4672352143804b176bef2d0c41a29e | Hombre | 2009-11-12 | 2010-11-18 | PG-PAI | Si | |
| 131,643 | 2,018 | MALO2**041999 | 1999-04-15 | 20 | 3d92dfbff13134f727a05b00cfe693f9 | NA | Mujer | 2017-12-06 | 2018-03-22 | PG-PAI | Si |
| 102,661 | 2,016 | MALO2**041990 | 1990-04-15 | 29 | 3d92dfbff13134f727a05b00cfe693f9 | Mujer | 2016-10-04 | 2016-11-07 | PG-PAI | Si | |
| 49,535 | 2,014 | MALO2**041990 | 1990-04-15 | 29 | 3d92dfbff13134f727a05b00cfe693f9 | Mujer | 2013-05-15 | 2014-10-30 | PG-PAB | Si | |
| 14,862 | 2,011 | MALO2**041990 | 1990-04-15 | 29 | 3d92dfbff13134f727a05b00cfe693f9 | Mujer | 2011-01-25 | 2011-05-31 | PG-PAB | Si | |
| 65,398 | 2,015 | ERCA1**021966 | 1966-02-20 | 53 | 3da88c37852db5e6c5080b87ec39b42c | Hombre | 2012-12-05 | 2015-10-26 | PG-PAI | Si | |
| 27,765 | 2,012 | ERCA1**071969 | 1969-07-07 | 50 | 3da88c37852db5e6c5080b87ec39b42c | Hombre | 2012-06-26 | 2012-08-01 | PG-PAI | Si | |
| 136,042 | 2,018 | FACA1**121981 | 1981-12-02 | 37 | 3ddd00986d9710f33a28fbdc90f91e9c | NA | Hombre | 2018-03-29 | 2018-07-23 | PG-PR | Si |
| 132,302 | 2,018 | FACA1**121981 | 1981-12-02 | 37 | 3ddd00986d9710f33a28fbdc90f91e9c | NA | Hombre | 2017-12-27 | 2018-03-28 | PG-PAI | Si |
| 101,062 | 2,016 | FACA1**121981 | 1981-12-02 | 37 | 3ddd00986d9710f33a28fbdc90f91e9c | Hombre | 2016-08-29 | 2016-11-08 | PG-PAI | Si | |
| 94,554 | 2,016 | FACA1**031981 | 1981-03-02 | 38 | 3ddd00986d9710f33a28fbdc90f91e9c | Hombre | 2016-03-07 | 2016-05-18 | PG-PAI | Si | |
| 89,365 | 2,016 | FACA1**121981 | 1981-12-02 | 37 | 3ddd00986d9710f33a28fbdc90f91e9c | Hombre | 2015-09-23 | 2016-02-04 | PG-PR | Si | |
| 74,307 | 2,015 | FACA1**121981 | 1981-12-02 | 37 | 3ddd00986d9710f33a28fbdc90f91e9c | Hombre | 2015-03-23 | 2015-09-23 | PG-PAI | Si | |
| 93,218 | 2,016 | RUGU1**011982 | 1982-01-03 | 37 | 3dead7975ce27db8c75d262fdda4a71a | Hombre | 2016-01-02 | 2016-05-02 | PG-PAB | Si | |
| 84,649 | 2,015 | RUGU1**121982 | 1982-12-09 | 36 | 3dead7975ce27db8c75d262fdda4a71a | Hombre | 2015-10-13 | 2016-01-01 | PG-PAB | Si | |
| 85,919 | 2,016 | SEVE1**041954 | 1954-04-01 | 65 | 3e07869975e77b637468046ea4b804d8 | Hombre | 2014-10-10 | 2016-02-12 | PG-PAB | Si | |
| 56,088 | 2,014 | SEVE1**041956 | 1956-04-01 | 63 | 3e07869975e77b637468046ea4b804d8 | Hombre | 2014-03-26 | 2014-10-01 | PG-PAB | Si | |
| 22,009 | 2,012 | JONU1**031975 | 1975-03-20 | 44 | 3e21d3226613a4b06a222cb51ef56de2 | Hombre | 2011-08-02 | 2012-09-10 | PG-PR | Si | |
| 16,978 | 2,011 | JOMU1**031972 | 1972-03-09 | 47 | 3e21d3226613a4b06a222cb51ef56de2 | Hombre | 2011-06-20 | 2011-06-30 | PG-PAI | Si | |
| 160,988 | 2,019 | JOME1**061984 | 1984-06-30 | 35 | 3e4cb97e9e916d4bbbc191e130a2a16f | NA | Hombre | 2019-08-13 | NA | PG-PR | No |
| 157,017 | 2,019 | JOME1**061984 | 1984-06-30 | 35 | 3e4cb97e9e916d4bbbc191e130a2a16f | NA | Hombre | 2019-05-01 | 2019-08-12 | PG-PAI | Si |
| 59,249 | 2,014 | JOME1**061982 | 1982-06-30 | 37 | 3e4cb97e9e916d4bbbc191e130a2a16f | Hombre | 2014-06-17 | 2015-02-01 | PG-PAB | Si | |
| 23,305 | 2,012 | ARSA1**111965 | 1965-11-23 | 53 | 3e789587fb44c2ae24828dc0a4dbfb05 | Hombre | 2011-12-12 | 2012-02-15 | PG-PAI | Si | |
| 15,522 | 2,011 | ARSA1**111963 | 1963-11-23 | 55 | 3e789587fb44c2ae24828dc0a4dbfb05 | Hombre | 2011-04-26 | 2011-11-30 | PG-PAI | Si | |
| 91,083 | 2,016 | RAPO1**011981 | 1981-01-31 | 38 | 3e797b702d9b7cbf359683189faf32e2 | Hombre | 2015-11-09 | 2016-05-18 | PG-PAB | Si | |
| 57,817 | 2,014 | RAPO1**011981 | 1981-01-31 | 38 | 3e797b702d9b7cbf359683189faf32e2 | Hombre | 2014-05-09 | 2014-07-10 | PG-PAI | Si | |
| 23,366 | 2,012 | RAPO1**011982 | 1982-01-31 | 37 | 3e797b702d9b7cbf359683189faf32e2 | Hombre | 2011-12-15 | 2012-02-01 | PG-PAI | Si | |
| 6,851 | 2,010 | RAPO1**011981 | 1981-01-31 | 38 | 3e797b702d9b7cbf359683189faf32e2 | Hombre | 2010-03-30 | 2010-09-06 | PG-PAB | Si | |
| 134,803 | 2,018 | EDTO1**101965 | 1965-10-18 | 54 | 3e7c040a540c8b33a98a7d50c90f55e1 | NA | Hombre | 2018-03-01 | 2018-06-29 | PG-PAI | Si |
| 129,759 | 2,018 | EDTO1**101995 | 1995-10-18 | 24 | 3e7c040a540c8b33a98a7d50c90f55e1 | NA | Hombre | 2017-09-21 | 2018-02-14 | PG-PR | Si |
| 80,790 | 2,015 | EDTO1**101965 | 1965-10-18 | 54 | 3e7c040a540c8b33a98a7d50c90f55e1 | Hombre | 2015-08-18 | 2015-11-26 | PG-PAB | Si | |
| 60,986 | 2,014 | EDTO1**101965 | 1965-10-18 | 54 | 3e7c040a540c8b33a98a7d50c90f55e1 | Hombre | 2014-08-13 | 2015-01-28 | PG-PAB | Si | |
| 45,545 | 2,013 | FRVA1**071979 | 1979-07-02 | 40 | 3ead9c6041b6b8f182f63ca9d517a596 | Hombre | 2013-10-07 | 2014-06-06 | PG-PAB | Si | |
| 12,424 | 2,011 | FRVA1**121991 | 1991-12-02 | 27 | 3ead9c6041b6b8f182f63ca9d517a596 | Hombre | 2010-12-09 | 2011-06-24 | PG-PAI | Si | |
| 17,671 | 2,011 | JUNA1**071964 | 1964-07-02 | 55 | 3f5e99b97f461a1d62102383a08c808a | Hombre | 2011-05-03 | 2011-09-01 | PG-PR | Si | |
| 12,214 | 2,011 | JUNA1**071969 | 1969-07-02 | 50 | 3f5e99b97f461a1d62102383a08c808a | Hombre | 2010-11-11 | 2011-05-02 | PG-PR | Si | |
| 7,833 | 2,010 | JUNA1**071964 | 1964-07-02 | 55 | 3f5e99b97f461a1d62102383a08c808a | Hombre | 2010-07-26 | 2010-11-02 | PG-PR | Si | |
| 35,398 | 2,013 | NABA2**091985 | 1985-09-13 | 34 | 3f7fde6b8b43fb8106bd00b23529f1cd | Mujer | 2013-01-08 | 2013-05-08 | PG-PAI | Si | |
| 12,152 | 2,011 | NABA2**091985 | 1985-09-13 | 34 | 3f7fde6b8b43fb8106bd00b23529f1cd | Mujer | 2010-11-09 | 2011-08-18 | PG-PAI | Si | |
| 8,189 | 2,010 | NABA2**091984 | 1984-09-13 | 35 | 3f7fde6b8b43fb8106bd00b23529f1cd | Mujer | 2010-09-01 | 2010-10-08 | PG-PAB | Si | |
| 118,099 | 2,017 | ITCO1**041977 | 1977-04-11 | 42 | 3f8df3675ce3f0a4fffe3c667cfb637a | NA | Hombre | 2017-06-13 | 2017-07-21 | PG-PAI | Si |
| 112,588 | 2,017 | ITCO1**041967 | 1967-04-11 | 52 | 3f8df3675ce3f0a4fffe3c667cfb637a | NA | Hombre | 2017-01-24 | 2017-05-01 | PG-PAB | Si |
| 88,676 | 2,016 | ITCO1**111977 | 1977-11-04 | 42 | 3f8df3675ce3f0a4fffe3c667cfb637a | Hombre | 2015-06-22 | 2016-04-25 | PG-PAB | Si | |
| 56,924 | 2,014 | ITCO1**041977 | 1977-04-11 | 42 | 3f8df3675ce3f0a4fffe3c667cfb637a | Hombre | 2014-04-03 | 2014-07-31 | PG-PAB | Si | |
| 7,307 | 2,010 | ITCO1**041977 | 1977-04-11 | 42 | 3f8df3675ce3f0a4fffe3c667cfb637a | Hombre | 2010-08-11 | 2010-11-17 | PG-PAB | Si | |
| 22,192 | 2,012 | MAGU1**111964 | 1964-11-04 | 55 | 3fe09bd41f49b4aa1ba5efae8052c056 | Hombre | 2011-08-10 | 2012-03-09 | PG-PAB | Si | |
| 16,487 | 2,011 | MAGU1**061992 | 1992-06-04 | 27 | 3fe09bd41f49b4aa1ba5efae8052c056 | Hombre | 2011-05-17 | 2011-07-15 | PG-PAI | Si | |
| 13,030 | 2,011 | MAGU1**111964 | 1964-11-04 | 55 | 3fe09bd41f49b4aa1ba5efae8052c056 | Hombre | 2011-01-05 | 2011-03-31 | PG-PAB | Si | |
| 56,004 | 2,014 | MOPE2**071952 | 1952-07-13 | 67 | 400a4fba1bef062a1ee4fa15b49484df | Mujer | 2014-02-18 | 2014-03-18 | PG-PAI | No | |
| 15,364 | 2,011 | MOPE2**071957 | 1957-07-13 | 62 | 400a4fba1bef062a1ee4fa15b49484df | Mujer | 2011-04-06 | 2011-09-30 | PG-PAI | Si | |
| 112,997 | 2,017 | EDME1**101969 | 1969-10-02 | 50 | 409e73b733c641e26c4a83e3e4509dd9 | NA | Hombre | 2017-02-01 | 2017-05-22 | PG-PAB | Si |
| 88,168 | 2,016 | EDME1**101969 | 1969-10-02 | 50 | 409e73b733c641e26c4a83e3e4509dd9 | Hombre | 2015-07-17 | 2016-03-23 | PG-PAB | Si | |
| 70,960 | 2,015 | EDME1**101964 | 1964-10-02 | 55 | 409e73b733c641e26c4a83e3e4509dd9 | Hombre | 2015-01-01 | 2015-01-26 | PG-PAB | Si | |
| 58,434 | 2,014 | EDME1**101964 | 1964-10-02 | 55 | 409e73b733c641e26c4a83e3e4509dd9 | Hombre | 2014-06-09 | 2014-12-02 | PG-PAB | Si | |
| 151,259 | 2,019 | OSTR1**101966 | 1966-10-28 | 53 | 40ba257084418a89e6770501177d57d8 | NA | Hombre | 2018-12-14 | 2019-07-09 | PG-PR | Si |
| 144,933 | 2,018 | OSTR1**101966 | 1966-10-28 | 53 | 40ba257084418a89e6770501177d57d8 | NA | Hombre | 2018-12-03 | 2018-12-13 | PG-PAB | Si |
| 130,181 | 2,018 | OSTR1**101965 | 1965-10-28 | 54 | 40ba257084418a89e6770501177d57d8 | NA | Hombre | 2017-10-10 | 2018-07-24 | PG-PAB | Si |
| 64,629 | 2,014 | CRMI1**011986 | 1986-01-14 | 33 | 40d0cef98fc8281976c88034c48bfba3 | Hombre | 2014-11-24 | 2014-12-15 | PG-PAI | Si | |
| 26,783 | 2,012 | CRMI1**111986 | 1986-11-14 | 32 | 40d0cef98fc8281976c88034c48bfba3 | Hombre | 2012-05-10 | 2012-06-28 | PG-PAI | Si | |
| 136,156 | 2,018 | LUGI1**111982 | 1982-11-06 | 36 | 41500e96b509011c3df5c66a73b7ce78 | NA | Hombre | 2018-04-18 | 2018-09-10 | PG-PAB | Si |
| 119,596 | 2,017 | LUGI1**111982 | 1982-11-06 | 36 | 41500e96b509011c3df5c66a73b7ce78 | NA | Hombre | 2017-07-03 | 2017-12-19 | PG-PAI | Si |
| 94,068 | 2,016 | LUGI1**111982 | 1982-11-06 | 36 | 41500e96b509011c3df5c66a73b7ce78 | Hombre | 2016-02-17 | 2016-04-29 | PG-PAI | Si | |
| 56,355 | 2,014 | LUGI1**111984 | 1984-11-06 | 34 | 41500e96b509011c3df5c66a73b7ce78 | Hombre | 2014-04-01 | 2014-05-14 | PG-PAI | Si | |
| 157,711 | 2,019 | MADI1**052001 | 2001-05-05 | 18 | 4194168c6d6ea52910b7f9a7b2c97a72 | NA | Hombre | 2019-05-30 | NA | PG-PR | Si |
| 157,271 | 2,019 | MADI1**051981 | 1981-05-02 | 38 | 4194168c6d6ea52910b7f9a7b2c97a72 | NA | Hombre | 2019-04-30 | 2019-05-29 | PG-PAI | Si |
| 20,898 | 2,012 | MADI1**051981 | 1981-05-02 | 38 | 4194168c6d6ea52910b7f9a7b2c97a72 | Hombre | 2011-01-18 | 2012-10-17 | PG-PR | Si | |
| 1,645 | 2,010 | MADI1**051981 | 1981-05-02 | 38 | 4194168c6d6ea52910b7f9a7b2c97a72 | Hombre | 2009-11-20 | 2010-01-29 | PG-PR | Si | |
| 159,957 | 2,019 | CRFE1**121983 | 1983-12-13 | 35 | 41b9bcca87b9589aa2c4b7bbffb51621 | NA | Hombre | 2019-07-12 | NA | PG-PAI | Si |
| 17,522 | 2,011 | CRFE1**091987 | 1987-09-13 | 32 | 41b9bcca87b9589aa2c4b7bbffb51621 | Hombre | 2011-07-09 | 2011-10-28 | PG-PR | Si | |
| 11,531 | 2,011 | CRFE1**121987 | 1987-12-13 | 31 | 41b9bcca87b9589aa2c4b7bbffb51621 | Hombre | 2010-10-25 | 2011-06-03 | PG-PR | Si | |
| 161,367 | 2,019 | KUKA1**021973 | 1973-02-14 | 46 | 424b920790657fa64203b767c88e7ac0 | NA | Hombre | 2019-09-06 | NA | PG-PR | Si |
| 158,884 | 2,019 | KUKA1**021973 | 1973-02-14 | 46 | 424b920790657fa64203b767c88e7ac0 | NA | Hombre | 2019-06-24 | 2019-09-05 | PG-PAI | Si |
| 11,223 | 2,011 | KUKA1**011991 | 1991-01-14 | 28 | 424b920790657fa64203b767c88e7ac0 | Hombre | 2010-07-29 | 2011-09-01 | PG-PR | Si | |
| 3,085 | 2,010 | KUKA1**021973 | 1973-02-14 | 46 | 424b920790657fa64203b767c88e7ac0 | Hombre | 2009-11-23 | 2010-03-01 | PG-PR | Si | |
| 44,167 | 2,013 | JUVA2**031980 | 1980-03-22 | 39 | 425c27d2f91cfbb4f5c28d0161b5c3e8 | Mujer | 2013-09-11 | 2013-12-30 | PG-PAI | Si | |
| 19,627 | 2,011 | PAFE1**011978 | 1978-01-31 | 41 | 425c27d2f91cfbb4f5c28d0161b5c3e8 | Hombre | 2011-11-07 | 2012-03-12 | PG-PAB | Si | |
| 129,496 | 2,018 | JUAL1**091972 | 1972-09-17 | 47 | 4293f15f1263aa4c59fda17cef5f4a0b | NA | Hombre | 2017-09-21 | 2018-10-10 | PG-PR | Si |
| 120,355 | 2,017 | JUAL1**091972 | 1972-09-17 | 47 | 4293f15f1263aa4c59fda17cef5f4a0b | NA | Hombre | 2017-08-02 | 2017-09-20 | PG-PAI | No |
| 115,285 | 2,017 | JUAL1**091972 | 1972-09-17 | 47 | 4293f15f1263aa4c59fda17cef5f4a0b | NA | Hombre | 2017-04-03 | 2017-08-01 | PG-PAI | Si |
| 110,571 | 2,017 | JUAL1**091972 | 1972-09-17 | 47 | 4293f15f1263aa4c59fda17cef5f4a0b | NA | Hombre | 2016-11-23 | 2017-02-09 | PG-PR | Si |
| 91,943 | 2,016 | JUAL1**121972 | 1972-12-13 | 46 | 4293f15f1263aa4c59fda17cef5f4a0b | Hombre | 2015-11-04 | 2016-11-14 | PG-PAI | Si | |
| 15,711 | 2,011 | MAPI2**091954 | 1954-09-19 | 65 | 42e3bc995e8759bb352b6599075fd95b | Mujer | 2011-05-02 | 2011-09-30 | PG-PAI | Si | |
| 13,317 | 2,011 | MAPI1**011992 | 1992-01-21 | 27 | 42e3bc995e8759bb352b6599075fd95b | Hombre | 2011-01-21 | 2011-05-02 | M-PAI | Si | |
| 22,314 | 2,012 | ALRI1**111970 | 1970-11-26 | 48 | 438190ad4c60442f5fceb6c458d39dc6 | Hombre | 2011-09-08 | 2012-07-05 | PG-PR | Si | |
| 18,299 | 2,011 | ALRI1**111971 | 1971-11-26 | 47 | 438190ad4c60442f5fceb6c458d39dc6 | Hombre | 2011-08-01 | 2011-09-14 | PG-PAB | Si | |
| 72,320 | 2,015 | GUEC1**111982 | 1982-11-13 | 36 | 4392cafadcbeb18bbe9a2c4c65550d6c | Hombre | 2015-01-15 | 2015-06-10 | PG-PR | Si | |
| 67,628 | 2,015 | GUET1**111983 | 1983-11-13 | 35 | 4392cafadcbeb18bbe9a2c4c65550d6c | Hombre | 2014-06-09 | 2015-01-15 | PG-PAI | Si | |
| 93,216 | 2,016 | MAIN2**051995 | 1995-05-08 | 24 | 43b4b187546005de26437df0eadb74a3 | Mujer | 2016-01-02 | 2017-01-02 | PG-PAB | Si | |
| 73,976 | 2,015 | MAIN2**051998 | 1998-05-08 | 21 | 43b4b187546005de26437df0eadb74a3 | Mujer | 2015-01-22 | 2016-01-01 | PG-PAB | Si | |
| 54,824 | 2,014 | SEPI1**101982 | 1982-10-24 | 37 | 43b6bb769341ce8824a76be7c1f51038 | Hombre | 2014-01-31 | 2014-03-25 | PG-PR | Si | |
| 22,008 | 2,012 | SEPI1**111982 | 1982-11-24 | 36 | 43b6bb769341ce8824a76be7c1f51038 | Hombre | 2011-08-05 | 2012-01-06 | PG-PR | Si | |
| 70,870 | 2,015 | LEVE1**051985 | 1985-05-23 | 34 | 43be2a2f0c2764a4a0a6079fe31d9706 | Hombre | 2014-12-03 | 2015-03-31 | PG-PAB | Si | |
| 14,217 | 2,011 | LEVE1**051989 | 1989-05-23 | 30 | 43be2a2f0c2764a4a0a6079fe31d9706 | Hombre | 2011-03-16 | 2011-04-19 | PG-PAI | Si | |
| 130,450 | 2,018 | ANMU2**071973 | 1973-07-19 | 46 | 442c647d624086ba5e2e8f84d7d93d19 | NA | Mujer | 2017-10-24 | 2018-06-29 | M-PAI | Si |
| 105,456 | 2,017 | ANMU2**071973 | 1973-07-19 | 46 | 442c647d624086ba5e2e8f84d7d93d19 | NA | Mujer | 2014-12-30 | 2017-04-17 | M-PAI | Si |
| 52,875 | 2,014 | ANMU2**111973 | 1973-11-19 | 45 | 442c647d624086ba5e2e8f84d7d93d19 | Mujer | 2013-12-04 | 2014-04-29 | PG-PAB | Si | |
| 28,269 | 2,012 | CAPA1**071993 | 1993-07-05 | 26 | 447fd2034230872b29a7184274f7de83 | Hombre | 2012-07-02 | 2012-08-31 | PG-PAI | Si | |
| 22,683 | 2,012 | CAPA1**101992 | 1992-10-05 | 27 | 447fd2034230872b29a7184274f7de83 | Hombre | 2011-10-17 | 2012-05-20 | PG-PR | Si | |
| 158,439 | 2,019 | HUGO1**111988 | 1988-11-09 | 31 | 44a1fc5a3f6b560bc0dd96f187b5d48a | NA | Hombre | 2019-06-07 | 2019-07-03 | PG-PAI | Si |
| 150,659 | 2,019 | HUGO1**111988 | 1988-11-09 | 31 | 44a1fc5a3f6b560bc0dd96f187b5d48a | NA | Hombre | 2018-11-23 | 2019-05-09 | PG-PR | Si |
| 37,796 | 2,013 | HUGO1**111988 | 1988-11-09 | 30 | 44a1fc5a3f6b560bc0dd96f187b5d48a | Hombre | 2013-03-11 | 2013-08-30 | PG-PAB | Si | |
| 13,279 | 2,011 | MAMO1**011959 | 1959-01-22 | 60 | 450c9888490dea842ecec1b83e2aa24f | Hombre | 2011-01-24 | 2011-09-27 | PG-PAB | Si | |
| 4,442 | 2,010 | MAMO1**091955 | 1955-09-10 | 64 | 450c9888490dea842ecec1b83e2aa24f | Hombre | 2010-03-01 | 2010-11-03 | PG-PAB | Si | |
| 49,451 | 2,014 | JUTO1**111978 | 1978-11-07 | 40 | 45a68026fa698bc463f1b4c6392f47ba | Hombre | 2013-06-25 | 2014-09-30 | PG-PAB | Si | |
| 16,646 | 2,011 | JUTO1**011978 | 1978-01-07 | 41 | 45a68026fa698bc463f1b4c6392f47ba | Hombre | 2011-01-03 | 2011-09-01 | PG-PAI | Si | |
| 13,482 | 2,011 | JUTO2**111978 | 1978-11-07 | 40 | 45a68026fa698bc463f1b4c6392f47ba | Mujer | 2011-01-03 | 2011-06-01 | PG-PAI | Si | |
| 156,920 | 2,019 | RAMO1**041985 | 1985-04-19 | 34 | 45dcfaf3807d0971c45d41ef2a5801cb | NA | Hombre | 2019-05-22 | 2019-07-09 | PG-PR | Si |
| 51,923 | 2,014 | RAMO1**041986 | 1986-04-19 | 33 | 45dcfaf3807d0971c45d41ef2a5801cb | Hombre | 2013-09-25 | 2014-09-01 | PG-PAI | Si | |
| 27,612 | 2,012 | RAMO1**041985 | 1985-04-19 | 34 | 45dcfaf3807d0971c45d41ef2a5801cb | Hombre | 2012-06-14 | 2012-08-17 | PG-PR | Si | |
| 92,725 | 2,016 | JAJO1**011975 | 1975-01-11 | 44 | 4676c518a210b1c3c4370d6372d62155 | Hombre | 2016-01-26 | 2016-02-12 | PG-PR | Si | |
| 59,315 | 2,014 | JAJO1**121975 | 1975-12-11 | 43 | 4676c518a210b1c3c4370d6372d62155 | Hombre | 2014-06-04 | 2014-12-01 | PG-PAB | Si | |
| 92,713 | 2,016 | HECA1**101969 | 1969-10-28 | 50 | 46b49d3743f99c2d0e32a7663e986c84 | Hombre | 2016-01-18 | 2016-05-03 | PG-PR | Si | |
| 23,219 | 2,012 | HECA1**101964 | 1964-10-28 | 55 | 46b49d3743f99c2d0e32a7663e986c84 | Hombre | 2011-10-05 | 2012-03-28 | PG-PAI | Si | |
| 126,254 | 2,018 | ALMA1**061988 | 1988-06-22 | 31 | 46d0f8889953e0770a94d79ef02e3656 | NA | Hombre | 2016-09-29 | 2018-07-04 | PG-PAB | Si |
| 48,066 | 2,014 | ALMA1**111988 | 1988-11-22 | 30 | 46d0f8889953e0770a94d79ef02e3656 | Hombre | 2012-11-20 | 2014-03-03 | PG-PAI | Si | |
| 18,972 | 2,011 | ALMA1**061988 | 1988-06-22 | 31 | 46d0f8889953e0770a94d79ef02e3656 | Hombre | 2011-09-03 | 2011-12-19 | PG-PAI | Si | |
| 186 | 2,010 | ALMA1**061988 | 1988-06-22 | 31 | 46d0f8889953e0770a94d79ef02e3656 | Hombre | 2009-11-11 | 2010-07-24 | PG-PAB | Si | |
| 82,295 | 2,015 | GIGU2**081982 | 1982-08-27 | 37 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2015-09-17 | 2015-12-18 | PG-PAI | Si | |
| 73,065 | 2,015 | GIGU2**081982 | 1982-08-27 | 37 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2015-02-17 | 2015-08-31 | M-PAI | Si | |
| 68,177 | 2,015 | GIGU2**081982 | 1982-08-27 | 37 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2014-08-04 | 2015-01-22 | M-PR | Si | |
| 56,393 | 2,014 | GUGU2**081982 | 1982-08-27 | 37 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2014-04-10 | 2014-07-31 | PG-PAB | Si | |
| 54,200 | 2,014 | GIGU2**081982 | 1982-08-27 | 37 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2014-02-07 | 2014-03-05 | PG-PAB | Si | |
| 28,465 | 2,012 | PAGU2**081981 | 1981-08-27 | 38 | 473c12958c68b510800cb364ed28dec8 | Mujer | 2012-07-09 | 2012-07-09 | Otro | No | |
| 102,637 | 2,016 | ARHE1**081996 | 1996-08-10 | 23 | 47990dd6dac288871e0b2568309c57e4 | Hombre | 2016-10-03 | 2017-01-03 | PG-PAB | Si | |
| 79,176 | 2,015 | ARHE1**081982 | 1982-08-10 | 37 | 47990dd6dac288871e0b2568309c57e4 | Hombre | 2015-07-28 | 2015-09-21 | PG-PAB | Si | |
| 135,139 | 2,018 | MIAG1**041997 | 1997-04-08 | 22 | 47bbad2f9753e164fb3a32a27e8f3ba5 | NA | Hombre | 2018-03-13 | 2018-10-01 | PG-PAI | Si |
| 108,762 | 2,017 | MIAG1**041996 | 1996-04-08 | 23 | 47bbad2f9753e164fb3a32a27e8f3ba5 | NA | Hombre | 2016-08-30 | 2017-01-09 | PG-PR | Si |
| 150,796 | 2,019 | CANA1**111969 | 1969-11-06 | 50 | 47dd35665e142c4e98b7112942f4d5fb | NA | Hombre | 2018-11-05 | NA | PG-PAI | Si |
| 133,174 | 2,018 | CANA1**111969 | 1969-11-06 | 49 | 47dd35665e142c4e98b7112942f4d5fb | NA | Hombre | 2018-01-12 | 2018-02-15 | PG-PAB | Si |
| 97,734 | 2,016 | CANA1**111969 | 1969-11-06 | 49 | 47dd35665e142c4e98b7112942f4d5fb | Hombre | 2016-05-31 | 2016-09-30 | PG-PAB | Si | |
| 54,422 | 2,014 | YAPO2**121998 | 1998-12-12 | 20 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | Mujer | 2014-02-03 | 2014-09-05 | M-PR | Si | |
| 52,659 | 2,014 | YAPO2**121989 | 1989-12-12 | 29 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | Mujer | 2013-12-13 | 2014-01-31 | M-PR | Si | |
| 54,383 | 2,014 | YAPO2**121989 | 1989-12-12 | 29 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | Mujer | 2013-12-13 | 2014-01-31 | M-PR | No | |
| 148,935 | 2,019 | ESPE1**021969 | 1969-02-21 | 50 | 488d1dd82b26262edd3ed20671ff0f29 | NA | Hombre | 2018-08-29 | 2019-02-05 | PG-PR | Si |
| 139,290 | 2,018 | ESPE1**021969 | 1969-02-21 | 50 | 488d1dd82b26262edd3ed20671ff0f29 | NA | Hombre | 2018-06-04 | 2018-08-28 | PG-PAI | Si |
| 41,574 | 2,013 | ESPE1**021969 | 1969-02-21 | 50 | 488d1dd82b26262edd3ed20671ff0f29 | Hombre | 2013-05-22 | 2013-09-30 | PG-PAI | Si | |
| 17,648 | 2,011 | ESPE1**021968 | 1968-02-21 | 51 | 488d1dd82b26262edd3ed20671ff0f29 | Hombre | 2011-06-28 | 2012-01-02 | PG-PAB | Si | |
| 125,792 | 2,018 | KABA2**051970 | 1970-05-26 | 49 | 48cebc8d0fcded6e7b82cc15c7c65824 | NA | Mujer | 2014-06-03 | 2018-10-01 | PG-PAB | Si |
| 8,014 | 2,010 | KABA2**051978 | 1978-05-26 | 41 | 48cebc8d0fcded6e7b82cc15c7c65824 | Mujer | 2010-09-28 | 2011-01-26 | PG-PAB | Si | |
| 133,256 | 2,018 | CALU2**121982 | 1982-12-29 | 36 | 4908c125c91bed71becbd7cf1077e5b2 | NA | Mujer | 2018-01-15 | 2018-07-30 | PG-PAB | Si |
| 119,326 | 2,017 | CALU2**071999 | 1999-07-11 | 20 | 4908c125c91bed71becbd7cf1077e5b2 | NA | Mujer | 2017-07-19 | 2018-01-12 | M-PR | Si |
| 117,932 | 2,017 | CALU2**101982 | 1982-10-29 | 37 | 4908c125c91bed71becbd7cf1077e5b2 | NA | Mujer | 2017-05-02 | 2017-07-18 | PG-PAI | Si |
| 93,636 | 2,016 | MALO2**111981 | 1981-11-23 | 37 | 496b4d5850a9fbf1e56f14ce307b0186 | Mujer | 2016-02-17 | 2016-05-02 | PG-PAB | Si | |
| 68,677 | 2,015 | MALO2**111980 | 1980-11-23 | 38 | 496b4d5850a9fbf1e56f14ce307b0186 | Mujer | 2014-09-24 | 2015-03-02 | PG-PAB | Si | |
| 52,641 | 2,014 | MALO2**111981 | 1981-11-23 | 37 | 496b4d5850a9fbf1e56f14ce307b0186 | Mujer | 2013-10-01 | 2014-03-18 | M-PAI | No | |
| 155,427 | 2,019 | BEGO2**011989 | 1989-01-23 | 30 | 49badae0a0c78d3116b83556f1481de5 | NA | Mujer | 2019-02-20 | 2019-06-01 | M-PAI | Si |
| 38,901 | 2,013 | BEGO2**011993 | 1993-01-23 | 26 | 49badae0a0c78d3116b83556f1481de5 | Mujer | 2013-04-08 | 2014-01-01 | PG-PAB | Si | |
| 33,833 | 2,013 | BEGO2**011983 | 1983-01-23 | 36 | 49badae0a0c78d3116b83556f1481de5 | Mujer | 2012-09-03 | 2013-04-01 | PG-PAB | Si | |
| 105,879 | 2,017 | JASA2**121959 | 1959-12-16 | 59 | 49ef2f66903424007a1106ea25a042e1 | NA | Mujer | 2015-08-26 | 2017-05-02 | PG-PAI | Si |
| 33,805 | 2,013 | JASA2**121958 | 1958-12-16 | 60 | 49ef2f66903424007a1106ea25a042e1 | Mujer | 2012-08-24 | 2013-05-02 | PG-PAI | Si | |
| 9,782 | 2,011 | JASA2**121959 | 1959-12-16 | 59 | 49ef2f66903424007a1106ea25a042e1 | Mujer | 2009-05-18 | 2011-09-05 | PG-PAB | Si | |
| 140,865 | 2,018 | ROAR1**091983 | 1983-09-26 | 36 | 4a9222bfba109c5c918c2d979c2e3aff | NA | Hombre | 2018-08-01 | 2018-12-20 | PG-PAI | Si |
| 114,390 | 2,017 | ROAR1**091983 | 1983-09-26 | 36 | 4a9222bfba109c5c918c2d979c2e3aff | NA | Hombre | 2017-03-16 | 2017-06-19 | PG-PR | Si |
| 49,926 | 2,014 | ROAR1**091983 | 1983-09-26 | 36 | 4a9222bfba109c5c918c2d979c2e3aff | Hombre | 2013-07-22 | 2014-02-14 | PG-PAB | Si | |
| 30,890 | 2,012 | ROAR1**091986 | 1986-09-26 | 33 | 4a9222bfba109c5c918c2d979c2e3aff | Hombre | 2012-10-01 | 2013-02-01 | PG-PR | Si | |
| 6,682 | 2,010 | ROAR1**091983 | 1983-09-26 | 36 | 4a9222bfba109c5c918c2d979c2e3aff | Hombre | 2010-07-19 | 2010-11-30 | PG-PAB | Si | |
| 133,414 | 2,018 | MARU1**031980 | 1980-03-03 | 39 | 4ac77675a222dba74b958429e4d16814 | NA | Hombre | 2017-12-01 | 2018-10-15 | PG-PAI | Si |
| 108,588 | 2,017 | MARU1**011996 | 1996-01-11 | 23 | 4ac77675a222dba74b958429e4d16814 | NA | Hombre | 2016-07-20 | 2017-03-28 | PG-PAI | Si |
| 152,096 | 2,019 | FRLA1**111988 | 1988-11-09 | 31 | 4acdea101b1708eac4fb8b16d56a8908 | NA | Hombre | 2019-01-28 | 2019-02-04 | PG-PR | Si |
| 101,607 | 2,016 | FRLA1**111988 | 1988-11-09 | 30 | 4acdea101b1708eac4fb8b16d56a8908 | Hombre | 2016-09-02 | 2016-12-01 | PG-PAI | Si | |
| 89,848 | 2,016 | FRLA1**111988 | 1988-11-09 | 30 | 4acdea101b1708eac4fb8b16d56a8908 | Hombre | 2015-09-10 | 2016-01-20 | PG-PAB | Si | |
| 34,784 | 2,013 | FRLA1**111988 | 1988-11-09 | 30 | 4acdea101b1708eac4fb8b16d56a8908 | Hombre | 2012-11-15 | 2013-03-26 | PG-PAI | Si | |
| 156,933 | 2,019 | JALA1**111955 | 1955-11-08 | 64 | 4ae675649d7c5c0f143b19b880168307 | NA | Hombre | 2019-04-16 | NA | PG-PAI | Si |
| 105,817 | 2,017 | JALA1**111955 | 1955-11-08 | 63 | 4ae675649d7c5c0f143b19b880168307 | NA | Hombre | 2015-08-07 | 2017-03-30 | PG-PAB | Si |
| 71,078 | 2,015 | YETA2**051978 | 1978-05-04 | 41 | 4b13f5bdb55f93b44dfdc4cb5ac61fa7 | Mujer | 2014-12-16 | 2015-05-27 | PG-PAI | Si | |
| 34,809 | 2,013 | YETA2**051977 | 1977-05-04 | 42 | 4b13f5bdb55f93b44dfdc4cb5ac61fa7 | Mujer | 2012-11-14 | 2013-05-31 | M-PR | Si | |
| 27,357 | 2,012 | YETA2**051977 | 1977-05-04 | 42 | 4b13f5bdb55f93b44dfdc4cb5ac61fa7 | Mujer | 2012-05-23 | 2012-11-19 | PG-PAI | Si | |
| 25,083 | 2,012 | YETA2**051977 | 1977-05-04 | 42 | 4b13f5bdb55f93b44dfdc4cb5ac61fa7 | Mujer | 2012-02-21 | 2012-06-04 | PG-PAB | Si | |
| 56,966 | 2,014 | ANCA2**041988 | 1988-04-03 | 31 | 4b29519f8f9974c31e0f05567ba15578 | Mujer | 2014-04-01 | 2014-07-30 | PG-PAB | Si | |
| 34,794 | 2,013 | ANCA2**041986 | 1986-04-03 | 33 | 4b29519f8f9974c31e0f05567ba15578 | Mujer | 2012-11-05 | 2013-06-28 | PG-PAB | Si | |
| 23,117 | 2,012 | ANCA2**041986 | 1986-04-03 | 33 | 4b29519f8f9974c31e0f05567ba15578 | Mujer | 2011-11-10 | 2012-11-05 | PG-PAI | Si | |
| 153,580 | 2,019 | ORAL1**111987 | 1987-11-05 | 32 | 4b59b57f2266ba06fe0e212e6724948e | NA | Hombre | 2019-02-21 | 2019-03-29 | PG-PAI | Si |
| 67,103 | 2,015 | ORAL1**051987 | 1987-05-05 | 32 | 4b59b57f2266ba06fe0e212e6724948e | Hombre | 2014-05-26 | 2015-03-20 | PG-PR | Si | |
| 22,893 | 2,012 | ORAL1**111986 | 1986-11-05 | 33 | 4b59b57f2266ba06fe0e212e6724948e | Hombre | 2011-11-22 | 2012-03-27 | PG-PAB | Si | |
| 157,463 | 2,019 | ANCA2**091988 | 1988-09-13 | 31 | 4b5bde97100768f1658aac3d25d18e23 | NA | Mujer | 2019-05-02 | NA | M-PAI | Si |
| 149,674 | 2,019 | ANCA2**091988 | 1988-09-13 | 31 | 4b5bde97100768f1658aac3d25d18e23 | NA | Mujer | 2018-10-09 | 2019-04-23 | M-PR | Si |
| 127,111 | 2,018 | ANCA2**091988 | 1988-09-13 | 31 | 4b5bde97100768f1658aac3d25d18e23 | NA | Mujer | 2017-03-06 | 2018-10-08 | M-PAI | Si |
| 87,113 | 2,016 | ANCA1**091988 | 1988-09-13 | 31 | 4b5bde97100768f1658aac3d25d18e23 | Hombre | 2015-04-21 | 2016-09-28 | PG-PAB | Si | |
| 37,866 | 2,013 | ANCA2**091987 | 1987-09-13 | 32 | 4b5bde97100768f1658aac3d25d18e23 | Mujer | 2013-03-25 | 2013-11-05 | PG-PAB | Si | |
| 39,288 | 2,013 | CASA2**051994 | 1994-05-01 | 25 | 4b92b8554c32df279ad6799341f53001 | Mujer | 2013-05-03 | 2013-07-19 | M-PAI | Si | |
| 34,878 | 2,013 | CASA2**081993 | 1993-08-01 | 26 | 4b92b8554c32df279ad6799341f53001 | Mujer | 2012-11-13 | 2013-04-30 | PG-PAB | Si | |
| 162,501 | 2,019 | MABR1**091977 | 1977-09-14 | 42 | 4bb12ee910453a8a1b270a2ceeb804d0 | NA | Hombre | 2019-10-08 | NA | PG-PAB | Si |
| 124,908 | 2,017 | MABR1**091972 | 1972-09-14 | 47 | 4bb12ee910453a8a1b270a2ceeb804d0 | NA | Hombre | 2017-11-13 | 2018-01-01 | PG-PAB | Si |
| 160,575 | 2,019 | MAFR2**091989 | 1989-09-17 | 30 | 4bd6f7bd0fa3a57a9021d3f6f3f7b554 | NA | Mujer | 2019-08-13 | 2019-10-29 | M-PAI | Si |
| 24,812 | 2,012 | MAFR2**111982 | 1982-11-16 | 36 | 4bd6f7bd0fa3a57a9021d3f6f3f7b554 | Mujer | 2012-02-27 | 2012-05-15 | M-PAI | Si | |
| 89,223 | 2,016 | MASI2**111985 | 1985-11-07 | 33 | 4be497d1fc78e007a74e1c53ad5cb84f | Mujer | 2015-09-10 | 2016-07-27 | M-PAI | Si | |
| 74,490 | 2,015 | MASI2**111985 | 1985-11-07 | 33 | 4be497d1fc78e007a74e1c53ad5cb84f | Mujer | 2015-03-11 | 2015-08-24 | M-PR | Si | |
| 50,064 | 2,014 | MASI2**111985 | 1985-11-07 | 33 | 4be497d1fc78e007a74e1c53ad5cb84f | Mujer | 2013-08-01 | 2014-01-31 | M-PR | Si | |
| 29,752 | 2,012 | MASI2**091985 | 1985-09-07 | 34 | 4be497d1fc78e007a74e1c53ad5cb84f | Mujer | 2012-05-25 | 2012-09-27 | PG-PAB | Si | |
| 154,588 | 2,019 | CACA2**031976 | 1976-03-12 | 43 | 4c01529a3549fba63ba3a01eaf2b00ef | NA | Mujer | 2019-03-21 | NA | PG-PAB | Si |
| 105,738 | 2,017 | CACA2**031996 | 1996-03-12 | 23 | 4c01529a3549fba63ba3a01eaf2b00ef | NA | Mujer | 2015-06-09 | 2017-06-01 | PG-PAI | Si |
| 70,000 | 2,015 | ROMA1**021967 | 1967-02-12 | 52 | 4c333b8f8117a71d1340f69ca6f7d3ea | Hombre | 2014-10-21 | 2015-04-30 | PG-PAB | Si | |
| 50,958 | 2,014 | ROMA1**121982 | 1982-12-13 | 36 | 4c333b8f8117a71d1340f69ca6f7d3ea | Hombre | 2013-08-07 | 2014-07-31 | PG-PAB | Si | |
| 7,960 | 2,010 | ROMA1**021967 | 1967-02-12 | 52 | 4c333b8f8117a71d1340f69ca6f7d3ea | Hombre | 2010-10-02 | 2011-03-29 | PG-PAB | Si | |
| 126,607 | 2,018 | SUSA2**121968 | 1968-12-02 | 50 | 4c55916cebfea224bc5b266f95419ddf | NA | Mujer | 2017-01-10 | 2018-03-28 | M-PR | Si |
| 67,761 | 2,015 | SUSA2**121958 | 1958-12-02 | 60 | 4c55916cebfea224bc5b266f95419ddf | Mujer | 2014-07-04 | 2015-07-02 | PG-PAI | Si | |
| 851 | 2,010 | SUSA2**121958 | 1958-12-02 | 60 | 4c55916cebfea224bc5b266f95419ddf | Mujer | 2010-01-20 | 2010-02-15 | M-PAI | Si | |
| 151,284 | 2,019 | EMSA2**071964 | 1964-07-18 | 55 | 4c5bbc4b774ab316240a84c146dd8d75 | NA | Mujer | 2018-12-03 | 2019-08-27 | M-PR | Si |
| 138,011 | 2,018 | EMSA2**071964 | 1964-07-18 | 55 | 4c5bbc4b774ab316240a84c146dd8d75 | NA | Mujer | 2018-05-16 | 2018-11-30 | PG-PR | Si |
| 49,994 | 2,014 | EMSA2**071964 | 1964-07-15 | 55 | 4c5bbc4b774ab316240a84c146dd8d75 | Mujer | 2013-07-26 | 2014-03-31 | PG-PR | Si | |
| 42,214 | 2,013 | EMSA2**071994 | 1994-07-18 | 25 | 4c5bbc4b774ab316240a84c146dd8d75 | Mujer | 2013-07-24 | 2013-07-24 | PG-PR | No | |
| 24,774 | 2,012 | EMSA2**081964 | 1964-08-18 | 55 | 4c5bbc4b774ab316240a84c146dd8d75 | Mujer | 2009-11-04 | 2012-06-28 | PG-PAB | Si | |
| 118,068 | 2,017 | ESFU1**121988 | 1988-12-18 | 30 | 4c8c3690fd88e70ba6d3743841daefc7 | NA | Hombre | 2017-05-23 | 2017-07-06 | PG-PAI | Si |
| 34,337 | 2,013 | ESFU1**081988 | 1988-08-18 | 31 | 4c8c3690fd88e70ba6d3743841daefc7 | Hombre | 2012-10-09 | 2013-05-31 | PG-PAB | Si | |
| 126,171 | 2,018 | MAPE2**071996 | 1996-07-05 | 23 | 4c918814287dc28194c22c37cc19be2b | NA | Mujer | 2016-08-11 | 2018-08-13 | PG-PAI | Si |
| 96,523 | 2,016 | MAPE2**071995 | 1995-07-05 | 24 | 4c918814287dc28194c22c37cc19be2b | Mujer | 2016-03-15 | 2016-07-25 | PG-PAI | Si | |
| 24,475 | 2,012 | GOCA1**011993 | 1993-01-01 | 26 | 4d09755fb9fabb916e79dd436cff0e9a | Hombre | 2011-07-20 | 2012-03-05 | PG-PAI | Si | |
| 22,331 | 2,012 | GOCA1**011977 | 1977-01-03 | 42 | 4d09755fb9fabb916e79dd436cff0e9a | Hombre | 2011-07-20 | 2012-02-07 | PG-PAI | Si | |
| 100,284 | 2,016 | JAGA2**071986 | 1986-07-02 | 33 | 4d3620d788bf355f874da36f214bb9eb | Mujer | 2016-07-20 | 2016-10-26 | PG-PAI | Si | |
| 72,069 | 2,015 | JAGA2**071988 | 1988-07-27 | 31 | 4d3620d788bf355f874da36f214bb9eb | Mujer | 2015-01-14 | 2015-01-31 | M-PR | Si | |
| 61,141 | 2,014 | JAGA2**071988 | 1988-07-27 | 31 | 4d3620d788bf355f874da36f214bb9eb | Mujer | 2014-08-13 | 2014-12-23 | M-PAI | Si | |
| 127,049 | 2,018 | PABR1**031973 | 1973-03-20 | 46 | 4d3d6d7b9ab8c4db2db07b2a81366d1e | NA | Hombre | 2017-02-14 | 2018-01-31 | PG-PAI | Si |
| 80,217 | 2,015 | PABR1**031976 | 1976-03-20 | 43 | 4d3d6d7b9ab8c4db2db07b2a81366d1e | Hombre | 2015-08-18 | 2015-08-20 | PG-PAI | Si | |
| 57,401 | 2,014 | PABR1**031976 | 1976-03-20 | 43 | 4d3d6d7b9ab8c4db2db07b2a81366d1e | Hombre | 2014-05-06 | 2014-08-29 | PG-PAI | Si | |
| 44,996 | 2,013 | MISA1**111978 | 1978-11-05 | 41 | 4da1d2c175908329ec5e028dbf6a7524 | Hombre | 2013-10-07 | 2013-10-31 | PG-PAI | Si | |
| 28,255 | 2,012 | MISA1**111978 | 1978-11-15 | 40 | 4da1d2c175908329ec5e028dbf6a7524 | Hombre | 2012-07-09 | 2012-09-06 | PG-PAI | Si | |
| 161,751 | 2,019 | FEMO1**111991 | 1991-11-08 | 28 | 4dae06240e74dc5a30e45da818c8b7db | NA | Hombre | 2019-09-02 | NA | PG-PAI | Si |
| 135,286 | 2,018 | FEMO1**111991 | 1991-11-08 | 27 | 4dae06240e74dc5a30e45da818c8b7db | NA | Hombre | 2018-03-06 | 2018-05-02 | PG-PAI | Si |
| 90,175 | 2,016 | JOFI1**061982 | 1982-06-18 | 37 | 4dc287bf2506d72ed89f4b5161dd59e9 | Hombre | 2015-10-28 | 2016-06-03 | PG-PR | Si | |
| 54,959 | 2,014 | JOFI1**061982 | 1982-06-18 | 37 | 4dc287bf2506d72ed89f4b5161dd59e9 | Hombre | 2014-02-01 | 2014-04-30 | PG-PAB | Si | |
| 39,405 | 2,013 | JOFI1**061981 | 1981-06-18 | 38 | 4dc287bf2506d72ed89f4b5161dd59e9 | Hombre | 2013-04-30 | 2013-09-26 | PG-PR | Si | |
| 66,374 | 2,015 | JUVA1**111977 | 1977-11-17 | 41 | 4ddc99b3fe5a34f5fe56691a6da9651d | Hombre | 2014-02-10 | 2015-06-26 | PG-PR | Si | |
| 9,792 | 2,011 | JUVA1**121976 | 1976-12-17 | 42 | 4ddc99b3fe5a34f5fe56691a6da9651d | Hombre | 2009-10-06 | 2011-02-01 | PG-PR | Si | |
| 129,426 | 2,018 | ESAV2**041998 | 1998-04-28 | 21 | 4e0b3d9173d6ad90a099bfae874c7b77 | NA | Mujer | 2017-08-08 | 2018-05-23 | M-PR | Si |
| 105,364 | 2,017 | ESAV1**041978 | 1978-04-28 | 41 | 4e0b3d9173d6ad90a099bfae874c7b77 | NA | Hombre | 2014-04-16 | 2017-06-01 | PG-PAB | Si |
| 38,424 | 2,013 | ESAV2**041978 | 1978-04-28 | 41 | 4e0b3d9173d6ad90a099bfae874c7b77 | Mujer | 2013-03-15 | 2013-06-06 | M-PR | Si | |
| 35,888 | 2,013 | ESAV2**041978 | 1978-04-28 | 41 | 4e0b3d9173d6ad90a099bfae874c7b77 | Mujer | 2013-01-15 | 2013-03-13 | PG-PAI | Si | |
| 35,116 | 2,013 | ESAV2**041978 | 1978-04-28 | 41 | 4e0b3d9173d6ad90a099bfae874c7b77 | Mujer | 2012-12-04 | 2013-01-18 | PG-PAB | Si | |
| 15,887 | 2,011 | ESAV2**041978 | 1978-04-28 | 41 | 4e0b3d9173d6ad90a099bfae874c7b77 | Mujer | 2011-05-25 | 2012-05-31 | PG-PAB | No | |
| 130,509 | 2,018 | SACO1**041999 | 1999-04-15 | 20 | 4e5ec31f076c7e93fe7812ef0c0adf1b | NA | Hombre | 2017-10-24 | 2018-11-13 | PG-PAI | Si |
| 108,748 | 2,017 | SACO1**041978 | 1978-04-15 | 41 | 4e5ec31f076c7e93fe7812ef0c0adf1b | NA | Hombre | 2016-08-24 | 2017-01-10 | PG-PR | Si |
| 77,410 | 2,015 | SACO1**041978 | 1978-04-15 | 41 | 4e5ec31f076c7e93fe7812ef0c0adf1b | Hombre | 2015-06-08 | 2015-06-23 | PG-PAI | Si | |
| 65,676 | 2,015 | SACO1**041978 | 1978-04-15 | 41 | 4e5ec31f076c7e93fe7812ef0c0adf1b | Hombre | 2013-06-28 | 2015-05-18 | PG-PAI | Si | |
| 129,932 | 2,018 | OJVA2**011999 | 1999-01-15 | 20 | 4e64ae4bd275897c2d8cb7ed465aab35 | NA | Mujer | 2017-09-26 | 2018-10-31 | PG-PAI | Si |
| 48,621 | 2,014 | NEOJ2**011964 | 1964-01-15 | 55 | 4e64ae4bd275897c2d8cb7ed465aab35 | Mujer | 2013-03-25 | 2014-06-30 | PG-PAI | Si | |
| 33,271 | 2,013 | NEOJ2**011964 | 1964-01-15 | 55 | 4e64ae4bd275897c2d8cb7ed465aab35 | Mujer | 2012-07-12 | 2013-01-31 | PG-PAI | Si | |
| 81,236 | 2,015 | NEFA1**061974 | 1974-06-30 | 45 | 4eb1c37a67adb9338cdd89a29747a9e4 | Hombre | 2015-09-01 | 2015-12-10 | PG-PAI | Si | |
| 53,110 | 2,014 | NEFA1**111974 | 1974-11-30 | 44 | 4eb1c37a67adb9338cdd89a29747a9e4 | Hombre | 2014-01-07 | 2015-03-26 | PG-PAB | Si | |
| 51,490 | 2,014 | CLFU1**121965 | 1965-12-22 | 53 | 4f0d66b6472cbde97bb2634693bfa269 | Hombre | 2013-10-23 | 2014-06-02 | PG-PR | Si | |
| 24,764 | 2,012 | CLFU1**121964 | 1964-12-22 | 54 | 4f0d66b6472cbde97bb2634693bfa269 | Hombre | 2012-02-06 | 2012-06-01 | PG-PAB | Si | |
| 28,547 | 2,012 | JEOT2**061986 | 1986-06-06 | 33 | 4f5f13f11b7ee3bb2427596a847050af | Mujer | 2012-07-23 | 2012-11-30 | PG-PAI | Si | |
| 26,815 | 2,012 | JEOR2**061980 | 1980-06-06 | 39 | 4f5f13f11b7ee3bb2427596a847050af | Mujer | 2012-05-02 | 2012-07-01 | M-PAI | Si | |
| 13,931 | 2,011 | GECH2**021992 | 1992-02-11 | 27 | 4f62ce08c24560d6f8a6faa6119d774f | Mujer | 2011-02-16 | 2011-06-01 | PG-PAI | Si | |
| 10,565 | 2,011 | GECH2**021989 | 1989-02-11 | 30 | 4f62ce08c24560d6f8a6faa6119d774f | Mujer | 2010-06-16 | 2011-01-20 | M-PR | Si | |
| 34,916 | 2,013 | PEET1**091955 | 1955-09-24 | 64 | 4f6b636506174cb7a0024672ca17fab4 | Hombre | 2012-10-10 | 2013-07-26 | PG-PAB | No | |
| 16,629 | 2,011 | PEET1**091956 | 1956-09-24 | 63 | 4f6b636506174cb7a0024672ca17fab4 | Hombre | 2011-06-24 | 2011-11-30 | PG-PAB | No | |
| 17,307 | 2,011 | CAGA1**091978 | 1978-09-13 | 41 | 4fb1c253fb398c6356bfd98b8725bc95 | Hombre | 2011-04-25 | 2012-03-30 | PG-PR | No | |
| 10,409 | 2,011 | CAGA1**091970 | 1970-09-13 | 49 | 4fb1c253fb398c6356bfd98b8725bc95 | Hombre | 2010-03-18 | 2011-03-31 | PG-PR | Si | |
| 3,363 | 2,010 | CAGA1**091970 | 1970-09-13 | 49 | 4fb1c253fb398c6356bfd98b8725bc95 | Hombre | 2010-02-02 | 2010-03-29 | PG-PAI | Si | |
| 61,403 | 2,014 | LENU1**081984 | 1984-08-17 | 35 | 4fcc34cce9bdde10d46cd49579f791b1 | Hombre | 2014-08-24 | 2015-01-30 | PG-PAB | No | |
| 60,612 | 2,014 | LENU1**111984 | 1984-11-17 | 34 | 4fcc34cce9bdde10d46cd49579f791b1 | Hombre | 2014-07-24 | 2015-01-30 | PG-PAB | Si | |
| 150,133 | 2,019 | KESI1**111995 | 1995-11-08 | 24 | 50ee2dcfc52ae37b7e6af84bc287f530 | NA | Hombre | 2018-07-17 | 2019-04-17 | PG-PAI | Si |
| 96,779 | 2,016 | KESI1**111995 | 1995-11-08 | 23 | 50ee2dcfc52ae37b7e6af84bc287f530 | Hombre | 2016-04-11 | 2016-08-01 | PG-PAI | No | |
| 121,513 | 2,017 | MAGU2**081999 | 1999-08-06 | 20 | 516092218226d680a8e11014dad5102a | NA | Mujer | 2017-08-15 | 2017-11-30 | PG-PAB | Si |
| 118,283 | 2,017 | MAGU2**041982 | 1982-04-06 | 37 | 516092218226d680a8e11014dad5102a | NA | Mujer | 2017-06-14 | 2017-08-14 | PG-PAI | Si |
| 52,359 | 2,014 | YAPI2**051994 | 1994-05-27 | 25 | 517c9e2abc17b73b96ea9ba6076c4d4f | Mujer | 2013-11-15 | 2014-05-05 | PG-PAI | Si | |
| 45,140 | 2,013 | YAPI2**101993 | 1993-10-01 | 26 | 517c9e2abc17b73b96ea9ba6076c4d4f | Mujer | 2013-10-07 | 2013-11-04 | M-PR | Si | |
| 55,367 | 2,014 | JEFL1**111981 | 1981-11-03 | 38 | 5183831851bb0047dda4d544fda7a39b | Hombre | 2014-03-18 | 2014-09-24 | PG-PAB | Si | |
| 23,746 | 2,012 | JEFL1**111982 | 1982-11-03 | 37 | 5183831851bb0047dda4d544fda7a39b | Hombre | 2011-11-10 | 2012-04-26 | PG-PAB | No | |
| 24,126 | 2,012 | MARO1**011971 | 1971-01-14 | 48 | 51a1e29f10d31649964a9c1c0f334047 | Hombre | 2012-01-17 | 2012-05-11 | PG-PR | Si | |
| 22,837 | 2,012 | MARO1**021972 | 1972-02-14 | 47 | 51a1e29f10d31649964a9c1c0f334047 | Hombre | 2011-10-03 | 2012-01-11 | PG-PAB | Si | |
| 5,504 | 2,010 | ANCA2**081988 | 1988-08-04 | 31 | 51a366db3163eb84845d2868d9cf1271 | Mujer | 2009-08-10 | 2011-08-29 | PG-PAI | Si | |
| 2,649 | 2,010 | ANCA2**011989 | 1989-01-03 | 30 | 51a366db3163eb84845d2868d9cf1271 | Mujer | 2009-03-02 | 2010-04-30 | PG-PAB | Si | |
| 111,409 | 2,017 | RANE1**121969 | 1969-12-01 | 49 | 51a849af664ae271959b2d831b6eb91f | NA | Hombre | 2016-11-28 | 2017-08-30 | PG-PAI | Si |
| 70,585 | 2,015 | RANE1**121964 | 1964-12-01 | 54 | 51a849af664ae271959b2d831b6eb91f | Hombre | 2014-12-15 | 2015-08-27 | PG-PAB | Si | |
| 101,863 | 2,016 | NIRO1**021986 | 1986-02-28 | 33 | 51f9d74d21f506124555c0162840e632 | Hombre | 2016-07-13 | 2016-10-31 | PG-PAI | Si | |
| 98,706 | 2,016 | NIRO1**021982 | 1982-02-28 | 37 | 51f9d74d21f506124555c0162840e632 | Hombre | 2016-06-29 | 2016-07-06 | PG-PR | Si | |
| 129,242 | 2,018 | MAAG1**081999 | 1999-08-11 | 20 | 5203d3cb710640c434b0ed0edc33ee8b | NA | Hombre | 2017-09-01 | 2018-05-10 | PG-PAI | Si |
| 120,572 | 2,017 | MAAG1**091971 | 1971-09-11 | 48 | 5203d3cb710640c434b0ed0edc33ee8b | NA | Hombre | 2017-08-03 | 2017-08-31 | PG-PAI | Si |
| 153,333 | 2,019 | MAGO1**091970 | 1970-09-19 | 49 | 52492d5501873180feeff80f8e759c41 | NA | Hombre | 2019-02-15 | 2019-03-27 | PG-PAI | Si |
| 152,361 | 2,019 | MAGO1**091970 | 1970-09-19 | 49 | 52492d5501873180feeff80f8e759c41 | NA | Hombre | 2019-01-11 | 2019-01-25 | PG-PR | Si |
| 149,286 | 2,019 | MAGO1**091970 | 1970-09-19 | 49 | 52492d5501873180feeff80f8e759c41 | NA | Hombre | 2018-09-10 | 2019-01-10 | PG-PAI | Si |
| 87,229 | 2,016 | MAGO1**091977 | 1977-09-19 | 42 | 52492d5501873180feeff80f8e759c41 | Hombre | 2015-04-15 | 2016-06-29 | PG-PAB | Si | |
| 92,663 | 2,016 | ALRO1**011996 | 1996-01-08 | 23 | 52fe14d633bb2d7f751659f478c97848 | Hombre | 2016-01-04 | 2016-06-22 | PG-PAI | Si | |
| 79,097 | 2,015 | ALRO1**021966 | 1966-02-23 | 53 | 52fe14d633bb2d7f751659f478c97848 | Hombre | 2015-07-23 | 2015-07-24 | Otro | No | |
| 155,516 | 2,019 | JOGU1**091984 | 1984-09-24 | 35 | 5321b7b59e82f25805438eddb1568247 | NA | Hombre | 2019-04-05 | NA | PG-PAI | Si |
| 42,246 | 2,013 | CACO1**041992 | 1992-04-21 | 27 | 5321b7b59e82f25805438eddb1568247 | Hombre | 2013-07-12 | 2013-07-23 | PG-PR | Si | |
| 96,872 | 2,016 | PETA1**051965 | 1965-05-28 | 54 | 5343b02547a7d51bb1808a5377191371 | Hombre | 2016-05-06 | 2016-05-13 | PG-PR | Si | |
| 95,288 | 2,016 | PETA1**051964 | 1964-05-28 | 55 | 5343b02547a7d51bb1808a5377191371 | Hombre | 2016-03-31 | 2016-05-05 | PG-PAI | Si | |
| 91,616 | 2,016 | PETA1**051964 | 1964-05-28 | 55 | 5343b02547a7d51bb1808a5377191371 | Hombre | 2015-12-01 | 2016-02-03 | PG-PAI | Si | |
| 81,284 | 2,015 | PETA1**051964 | 1964-05-28 | 55 | 5343b02547a7d51bb1808a5377191371 | Hombre | 2015-09-08 | 2015-11-13 | PG-PAI | Si | |
| 61,309 | 2,014 | PETA1**051964 | 1964-05-28 | 55 | 5343b02547a7d51bb1808a5377191371 | Hombre | 2014-08-11 | 2014-12-01 | PG-PAB | Si | |
| 156,198 | 2,019 | GUCO1**111981 | 1981-11-11 | 38 | 5359359e43e29fc2c0bf098ec7fdd9b5 | NA | Hombre | 2018-11-12 | 2019-09-30 | PG-PAB | Si |
| 38,326 | 2,013 | GUCO1**111981 | 1981-11-11 | 37 | 5359359e43e29fc2c0bf098ec7fdd9b5 | Hombre | 2013-02-12 | 2013-04-23 | PG-PAI | Si | |
| 60,271 | 2,014 | GLOV2**051971 | 1971-05-21 | 48 | 535c6025e9d4ad7024d99b88da999ac7 | Mujer | 2014-07-23 | 2014-08-05 | M-PR | Si | |
| 53,662 | 2,014 | GLOV2**051974 | 1974-05-21 | 45 | 535c6025e9d4ad7024d99b88da999ac7 | Mujer | 2014-01-13 | 2014-02-01 | M-PR | Si | |
| 110,160 | 2,017 | JHUL1**101996 | 1996-10-23 | 23 | 541685ef6c6991feafaa8c73e63eee42 | NA | Hombre | 2016-10-24 | 2017-02-01 | PG-PAI | Si |
| 32,316 | 2,013 | JHUL1**091969 | 1969-09-28 | 50 | 541685ef6c6991feafaa8c73e63eee42 | Hombre | 2011-11-09 | 2013-04-17 | PG-PR | Si | |
| 50,868 | 2,014 | JOAG1**011972 | 1972-01-05 | 47 | 546e30e7b824ddcdca79f762b8d76f4a | Hombre | 2013-09-03 | 2014-05-02 | PG-PAI | Si | |
| 30,848 | 2,012 | JOAG1**011982 | 1982-01-05 | 37 | 546e30e7b824ddcdca79f762b8d76f4a | Hombre | 2012-10-26 | 2013-01-07 | PG-PR | Si | |
| 29,035 | 2,012 | JOAG1**011972 | 1972-01-05 | 47 | 546e30e7b824ddcdca79f762b8d76f4a | Hombre | 2012-07-19 | 2012-10-25 | PG-PAI | Si | |
| 28,028 | 2,012 | JOAG1**011972 | 1972-01-05 | 47 | 546e30e7b824ddcdca79f762b8d76f4a | Hombre | 2012-06-12 | 2012-08-02 | PG-PAB | Si | |
| 73,012 | 2,015 | CRCA1**121982 | 1982-12-04 | 36 | 54829078153f0810030e1ae010026dad | Hombre | 2015-02-24 | 2015-05-11 | PG-PR | No | |
| 55,854 | 2,014 | CRCA1**121989 | 1989-12-04 | 29 | 54829078153f0810030e1ae010026dad | Hombre | 2014-03-04 | 2014-06-05 | PG-PR | Si | |
| 33,235 | 2,013 | CHCA1**121989 | 1989-12-04 | 29 | 54829078153f0810030e1ae010026dad | Hombre | 2012-07-01 | 2013-06-30 | PG-PR | Si | |
| 27,265 | 2,012 | CHCA1**121989 | 1989-12-04 | 29 | 54829078153f0810030e1ae010026dad | Hombre | 2012-04-05 | 2012-07-01 | PG-PAB | Si | |
| 122,146 | 2,017 | INFU2**061981 | 1981-06-04 | 38 | 551b55d52ddcbabfc02a0415b69f1082 | NA | Mujer | 2017-09-12 | 2018-01-01 | PG-PAI | Si |
| 28,711 | 2,012 | INFU2**071993 | 1993-07-04 | 26 | 551b55d52ddcbabfc02a0415b69f1082 | Mujer | 2012-07-06 | 2012-11-09 | PG-PAI | Si | |
| 11,951 | 2,011 | INFU2**061981 | 1981-06-04 | 38 | 551b55d52ddcbabfc02a0415b69f1082 | Mujer | 2010-10-18 | 2011-05-30 | PG-PAI | Si | |
| 72,728 | 2,015 | DEGO2**121983 | 1983-12-31 | 35 | 553290335909599dc2372fc9c3a6c82d | Mujer | 2015-02-23 | 2015-06-09 | M-PAI | Si | |
| 70,747 | 2,015 | DEGO2**121982 | 1982-12-31 | 36 | 553290335909599dc2372fc9c3a6c82d | Mujer | 2014-12-09 | 2015-01-30 | PG-PAB | Si | |
| 134,461 | 2,018 | PALO2**061975 | 1975-06-02 | 44 | 5593ac006f16e35e3512fe003b8027ad | NA | Mujer | 2018-02-13 | 2018-04-16 | M-PAI | Si |
| 110,838 | 2,017 | PALO2**061995 | 1995-06-02 | 24 | 5593ac006f16e35e3512fe003b8027ad | NA | Mujer | 2016-10-31 | 2017-02-22 | M-PAI | Si |
| 35,735 | 2,013 | PALO2**061975 | 1975-06-02 | 44 | 5593ac006f16e35e3512fe003b8027ad | Mujer | 2013-01-07 | 2013-05-31 | M-PAI | Si | |
| 24,104 | 2,012 | PALO2**061975 | 1975-06-02 | 44 | 5593ac006f16e35e3512fe003b8027ad | Mujer | 2012-01-17 | 2012-12-28 | PG-PAI | Si | |
| 145,710 | 2,019 | PASA2**061969 | 1969-06-11 | 50 | 55b6ef5141c83a38abaadaba683f6e32 | NA | Mujer | 2015-04-06 | 2019-03-29 | PG-PAB | Si |
| 50,217 | 2,014 | PASA2**061968 | 1968-06-11 | 51 | 55b6ef5141c83a38abaadaba683f6e32 | Mujer | 2013-08-08 | 2014-05-02 | PG-PAB | Si | |
| 57,054 | 2,014 | YEGO2**021982 | 1982-02-07 | 37 | 55e100b92ee5561a0ee0e1be7f1565c3 | Mujer | 2014-04-15 | 2014-10-31 | PG-PAB | Si | |
| 50,400 | 2,014 | JEGO2**021982 | 1982-02-07 | 37 | 55e100b92ee5561a0ee0e1be7f1565c3 | Mujer | 2013-08-27 | 2014-04-14 | M-PR | Si | |
| 22,215 | 2,012 | JEGO2**021992 | 1992-02-07 | 27 | 55e100b92ee5561a0ee0e1be7f1565c3 | Mujer | 2011-08-02 | 2012-02-27 | M-PR | Si | |
| 17,301 | 2,011 | YEGO2**021982 | 1982-02-07 | 37 | 55e100b92ee5561a0ee0e1be7f1565c3 | Mujer | 2011-07-05 | 2011-08-01 | PG-PAB | Si | |
| 113,888 | 2,017 | JOTO1**121961 | 1961-12-06 | 57 | 55eebab769261b2447f7947c0a3bb63a | NA | Hombre | 2017-02-13 | 2017-09-01 | PG-PAB | Si |
| 56,311 | 2,014 | JOTO1**121961 | 1961-12-06 | 57 | 55eebab769261b2447f7947c0a3bb63a | Hombre | 2014-04-02 | 2014-11-05 | PG-PAB | Si | |
| 39,791 | 2,013 | JOTO1**121962 | 1962-12-06 | 56 | 55eebab769261b2447f7947c0a3bb63a | Hombre | 2013-05-13 | 2014-03-08 | PG-PAB | Si | |
| 114,769 | 2,017 | PIMA2**021985 | 1985-02-01 | 34 | 5656f5539e55a3b999879adb5ff2bd9c | NA | Mujer | 2017-03-21 | 2018-01-01 | PG-PAI | Si |
| 40,578 | 2,013 | PIMA1**021994 | 1994-02-01 | 25 | 5656f5539e55a3b999879adb5ff2bd9c | Hombre | 2013-06-04 | 2013-08-01 | M-PAI | Si | |
| 136,971 | 2,018 | GRMO2**081987 | 1987-08-21 | 32 | 566363c1bc2e15a4cd2e41c58cc2f243 | NA | Mujer | 2018-04-21 | 2018-06-01 | PG-PAI | Si |
| 109,494 | 2,017 | GRMO2**081996 | 1996-08-21 | 23 | 566363c1bc2e15a4cd2e41c58cc2f243 | NA | Mujer | 2016-09-26 | 2017-02-08 | M-PR | No |
| 109,408 | 2,017 | ENRI1**021985 | 1985-02-19 | 34 | 5666dcb7e87ff94f0c233544cceb702e | NA | Hombre | 2016-09-13 | 2017-05-03 | PG-PR | Si |
| 97,128 | 2,016 | ENRI1**021985 | 1985-02-19 | 34 | 5666dcb7e87ff94f0c233544cceb702e | Hombre | 2016-05-02 | 2016-09-11 | PG-PAI | Si | |
| 86,213 | 2,016 | JOCA1**091988 | 1988-09-05 | 31 | 5666dcb7e87ff94f0c233544cceb702e | Hombre | 2015-01-06 | 2016-02-04 | PG-PAI | Si | |
| 163,083 | 2,019 | GULE1**111986 | 1986-11-08 | 33 | 56a193bf2f0d0d2b90acb46b043668fd | NA | Hombre | 2019-10-01 | NA | PG-PAI | Si |
| 150,166 | 2,019 | GULE1**111986 | 1986-11-08 | 33 | 56a193bf2f0d0d2b90acb46b043668fd | NA | Hombre | 2018-10-23 | 2019-07-24 | PG-PAI | Si |
| 17,591 | 2,011 | GULE1**111986 | 1986-11-08 | 32 | 56a193bf2f0d0d2b90acb46b043668fd | Hombre | 2011-07-01 | 2011-08-29 | PG-PAI | Si | |
| 156,187 | 2,019 | FELI1**091991 | 1991-09-12 | 28 | 56a8568ae02986d385da71204a657215 | NA | Hombre | 2019-04-29 | 2019-10-23 | PG-PR | Si |
| 110,774 | 2,017 | FELI1**091991 | 1991-09-12 | 28 | 56a8568ae02986d385da71204a657215 | NA | Hombre | 2016-11-25 | 2017-06-15 | PG-PR | Si |
| 96,485 | 2,016 | FELI1**091991 | 1991-09-12 | 28 | 56a8568ae02986d385da71204a657215 | Hombre | 2016-04-01 | 2016-08-01 | PG-PAI | Si | |
| 94,012 | 2,016 | FELI1**091988 | 1988-09-12 | 31 | 56a8568ae02986d385da71204a657215 | Hombre | 2016-02-25 | 2016-03-24 | PG-PR | Si | |
| 125,965 | 2,018 | IVPE2**051957 | 1957-05-01 | 62 | 56ab4edc851309a6abef212da531bb6c | NA | Mujer | 2016-02-19 | 2018-04-27 | PG-PAI | Si |
| 57,505 | 2,014 | IVPE2**051957 | 1957-05-05 | 62 | 56ab4edc851309a6abef212da531bb6c | Mujer | 2014-05-12 | 2014-12-01 | PG-PR | Si | |
| 5,836 | 2,010 | IVPE2**051962 | 1962-05-01 | 57 | 56ab4edc851309a6abef212da531bb6c | Mujer | 2010-06-14 | 2010-08-31 | M-PAI | Si | |
| 533 | 2,010 | IVPE2**051962 | 1962-05-04 | 57 | 56ab4edc851309a6abef212da531bb6c | Mujer | 2009-07-01 | 2010-02-23 | M-PAI | Si | |
| 100,401 | 2,016 | HUBR1**041996 | 1996-04-11 | 23 | 56ab5055a4e57bea456d76e91ef50cca | Hombre | 2016-08-01 | 2016-10-01 | PG-PAI | Si | |
| 90,108 | 2,016 | HUBR1**111969 | 1969-11-04 | 50 | 56ab5055a4e57bea456d76e91ef50cca | Hombre | 2015-10-19 | 2016-03-01 | PG-PAB | Si | |
| 11,783 | 2,011 | HUBR1**041969 | 1969-04-11 | 50 | 56ab5055a4e57bea456d76e91ef50cca | Hombre | 2010-10-10 | 2011-10-01 | PG-PAI | Si | |
| 110,177 | 2,017 | HEAC1**051973 | 1973-05-09 | 46 | 56b8d9a916403aafd4eaaa79773be140 | NA | Hombre | 2016-10-18 | 2017-07-29 | PG-PR | Si |
| 96,601 | 2,016 | HEAC1**051972 | 1972-05-09 | 47 | 56b8d9a916403aafd4eaaa79773be140 | Hombre | 2016-03-11 | 2016-10-14 | PG-PAB | Si | |
| 107,592 | 2,017 | JOSO1**101975 | 1975-10-06 | 44 | 56ebb38e7d4cc24e6e97cc53ae447801 | NA | Hombre | 2016-06-01 | 2017-03-27 | PG-PAB | Si |
| 53,963 | 2,014 | JOSO1**101978 | 1978-10-06 | 41 | 56ebb38e7d4cc24e6e97cc53ae447801 | Hombre | 2013-05-30 | 2014-05-07 | PG-PAB | Si | |
| 40,210 | 2,013 | JOSO1**101978 | 1978-10-06 | 41 | 56ebb38e7d4cc24e6e97cc53ae447801 | Hombre | 2013-05-30 | 2013-11-29 | PG-PAB | Si | |
| 159,225 | 2,019 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | NA | Mujer | 2019-07-02 | NA | M-PAI | Si |
| 142,596 | 2,018 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | NA | Mujer | 2018-09-07 | 2018-12-28 | M-PR | Si |
| 133,400 | 2,018 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | NA | Mujer | 2018-01-24 | 2018-04-25 | M-PR | Si |
| 132,312 | 2,018 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | NA | Mujer | 2017-12-28 | 2018-01-23 | M-PAI | Si |
| 103,762 | 2,016 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | Mujer | 2016-11-09 | 2016-12-22 | M-PR | Si | |
| 83,154 | 2,015 | CABA2**021982 | 1982-02-05 | 37 | 5793ec5dff253b7f540afe1622a86a5a | Mujer | 2015-10-15 | 2015-12-14 | PG-PAI | Si | |
| 16,565 | 2,011 | CABA2**021987 | 1987-02-05 | 32 | 5793ec5dff253b7f540afe1622a86a5a | Mujer | 2011-06-08 | 2011-08-05 | PG-PAI | Si | |
| 134,162 | 2,018 | SEGU1**081969 | 1969-08-06 | 50 | 57b4de7542dfab3c29b6705cb392ff8a | NA | Hombre | 2018-02-01 | 2018-12-27 | PG-PAI | Si |
| 67,665 | 2,015 | SEGU1**081969 | 1969-08-06 | 50 | 57b4de7542dfab3c29b6705cb392ff8a | Hombre | 2014-07-01 | 2015-07-14 | PG-PAI | Si | |
| 48,343 | 2,014 | SEGU1**081961 | 1961-08-06 | 58 | 57b4de7542dfab3c29b6705cb392ff8a | Hombre | 2013-01-11 | 2014-05-29 | PG-PAI | Si | |
| 6,593 | 2,010 | SEGU1**091969 | 1969-09-21 | 50 | 57b4de7542dfab3c29b6705cb392ff8a | Hombre | 2010-07-09 | NA | PG-PAB | Si | |
| 128,052 | 2,018 | JUAR1**101957 | 1957-10-28 | 62 | 57d0da5172d067c1d6e15e6dba100aa7 | NA | Hombre | 2017-06-08 | 2018-07-24 | PG-PR | Si |
| 108,823 | 2,017 | JUAR1**051958 | 1958-05-14 | 61 | 57d0da5172d067c1d6e15e6dba100aa7 | NA | Hombre | 2016-08-03 | 2017-02-09 | PG-PR | Si |
| 56,011 | 2,014 | CRVI1**091988 | 1988-09-16 | 31 | 5803d607dc618290123f2529f0eb43f5 | Hombre | 2014-03-05 | 2014-10-01 | PG-PR | Si | |
| 22,277 | 2,012 | CRVI1**091992 | 1992-09-16 | 27 | 5803d607dc618290123f2529f0eb43f5 | Hombre | 2011-08-11 | 2012-03-30 | PG-PR | Si | |
| 76,949 | 2,015 | CLFU2**041974 | 1974-04-05 | 45 | 585a331ab042dec23109aceae1b22d01 | Mujer | 2015-05-28 | 2015-06-01 | M-PR | Si | |
| 37,127 | 2,013 | CLFU2**041975 | 1975-04-03 | 44 | 585a331ab042dec23109aceae1b22d01 | Mujer | 2013-02-18 | 2013-07-31 | M-PR | Si | |
| 33,795 | 2,013 | CLFU2**041975 | 1975-04-03 | 44 | 585a331ab042dec23109aceae1b22d01 | Mujer | 2012-09-03 | 2013-02-19 | PG-PAI | Si | |
| 131,249 | 2,018 | GAGO1**081969 | 1969-08-02 | 50 | 586ca12603ad0429d347c4841e15a8be | NA | Hombre | 2017-11-08 | 2018-10-31 | PG-PR | Si |
| 59,345 | 2,014 | GAGO1**081976 | 1976-08-02 | 43 | 586ca12603ad0429d347c4841e15a8be | Hombre | 2014-06-30 | 2014-07-16 | PG-PR | Si | |
| 35,033 | 2,013 | GAGO1**081976 | 1976-08-02 | 43 | 586ca12603ad0429d347c4841e15a8be | Hombre | 2012-12-13 | 2013-07-16 | PG-PR | Si | |
| 132,071 | 2,018 | RAPA1**051983 | 1983-05-20 | 36 | 587498372a88012d1ad93aeb56ec0db0 | NA | Hombre | 2017-12-01 | 2018-07-24 | PG-PAI | Si |
| 73,164 | 2,015 | RAPA1**051983 | 1983-05-20 | 36 | 587498372a88012d1ad93aeb56ec0db0 | Hombre | 2015-02-25 | 2015-10-26 | PG-PR | Si | |
| 70,055 | 2,015 | RAPA1**051993 | 1993-05-20 | 26 | 587498372a88012d1ad93aeb56ec0db0 | Hombre | 2014-11-03 | 2015-02-24 | PG-PAI | Si | |
| 92,925 | 2,016 | ANAR2**091981 | 1981-09-10 | 38 | 58a45e71163cfda894f3c1bf3da7d810 | Mujer | 2016-01-21 | 2016-03-09 | M-PR | Si | |
| 89,268 | 2,016 | ANAR2**091980 | 1980-09-10 | 39 | 58a45e71163cfda894f3c1bf3da7d810 | Mujer | 2015-08-31 | 2016-01-21 | PG-PAI | Si | |
| 76,348 | 2,015 | ANAR2**091981 | 1981-09-10 | 38 | 58a45e71163cfda894f3c1bf3da7d810 | Mujer | 2015-05-18 | 2015-08-31 | M-PR | Si | |
| 5,909 | 2,010 | ANAR2**091981 | 1981-09-10 | 38 | 58a45e71163cfda894f3c1bf3da7d810 | Mujer | 2010-06-10 | 2010-12-02 | PG-PAI | No | |
| 24,463 | 2,012 | VAVE2**111985 | 1985-11-11 | 33 | 58badbe9a65a84604452cbe092153c1d | Mujer | 2012-01-09 | 2012-05-01 | PG-PAI | Si | |
| 23,581 | 2,012 | VAVE2**101985 | 1985-10-11 | 34 | 58badbe9a65a84604452cbe092153c1d | Mujer | 2012-01-09 | 2012-02-06 | PG-PAI | Si | |
| 152,694 | 2,019 | MAQU2**091982 | 1982-09-08 | 37 | 58c590476e8d000b675ce85d23992de5 | NA | Mujer | 2019-01-14 | 2019-07-30 | M-PR | Si |
| 122,013 | 2,017 | MAQU2**091982 | 1982-09-08 | 37 | 58c590476e8d000b675ce85d23992de5 | NA | Mujer | 2017-08-24 | 2017-11-01 | PG-PAI | Si |
| 55,708 | 2,014 | MAQU2**091992 | 1992-09-08 | 27 | 58c590476e8d000b675ce85d23992de5 | Mujer | 2014-02-27 | 2014-09-24 | M-PAI | Si | |
| 115,413 | 2,017 | PASI1**031963 | 1963-03-22 | 56 | 58fded5ce22e8c7b07fa8c0ac1212866 | NA | Hombre | 2017-04-03 | 2017-06-01 | PG-PAI | Si |
| 92,627 | 2,016 | PASI1**011996 | 1996-01-22 | 23 | 58fded5ce22e8c7b07fa8c0ac1212866 | Hombre | 2016-01-15 | 2016-07-19 | PG-PAB | Si | |
| 66,826 | 2,015 | PASI1**031963 | 1963-03-22 | 56 | 58fded5ce22e8c7b07fa8c0ac1212866 | Hombre | 2014-04-14 | 2015-10-07 | PG-PAI | Si | |
| 50,633 | 2,014 | MASA2**091987 | 1987-09-12 | 32 | 592cde1cfeaa6e637b9c95d40c797c98 | Mujer | 2013-09-24 | 2014-09-29 | PG-PAB | Si | |
| 36,181 | 2,013 | MASA2**011994 | 1994-01-12 | 25 | 592cde1cfeaa6e637b9c95d40c797c98 | Mujer | 2013-01-18 | 2013-06-27 | M-PAI | Si | |
| 160,597 | 2,019 | TASE2**111969 | 1969-11-12 | 50 | 5985faf65d7e3b6ddcb8e8e3f9b1c8c7 | NA | Mujer | 2019-08-12 | NA | M-PR | Si |
| 152,953 | 2,019 | TASE2**111969 | 1969-11-12 | 50 | 5985faf65d7e3b6ddcb8e8e3f9b1c8c7 | NA | Mujer | 2019-01-21 | 2019-08-09 | PG-PAI | Si |
| 148,236 | 2,019 | TASE2**111969 | 1969-11-12 | 50 | 5985faf65d7e3b6ddcb8e8e3f9b1c8c7 | NA | Mujer | 2018-07-23 | 2019-01-17 | M-PR | Si |
| 36,227 | 2,013 | TASE2**111969 | 1969-11-12 | 49 | 5985faf65d7e3b6ddcb8e8e3f9b1c8c7 | Mujer | 2013-01-16 | 2013-12-12 | M-PR | Si | |
| 34,740 | 2,013 | TASE1**111969 | 1969-11-12 | 49 | 5985faf65d7e3b6ddcb8e8e3f9b1c8c7 | Hombre | 2012-11-05 | 2013-01-16 | PG-PAI | Si | |
| 68,688 | 2,015 | NESA1**041965 | 1965-04-01 | 54 | 599694e519566fa469009a099cbe7049 | Hombre | 2014-09-24 | 2015-10-07 | PG-PAI | Si | |
| 35,749 | 2,013 | NESA1**041966 | 1966-04-01 | 53 | 599694e519566fa469009a099cbe7049 | Hombre | 2012-11-22 | 2013-10-30 | PG-PAB | Si | |
| 10,866 | 2,011 | NESA1**041966 | 1966-04-01 | 53 | 599694e519566fa469009a099cbe7049 | Hombre | 2010-07-19 | 2011-08-01 | PG-PR | Si | |
| 74,526 | 2,015 | CLDO2**031985 | 1985-03-08 | 34 | 59c44a0a3dce003dd4d5876f2e4acd07 | Mujer | 2015-03-04 | 2015-09-01 | PG-PAI | Si | |
| 15,809 | 2,011 | CLDO2**091982 | 1982-09-26 | 37 | 59c44a0a3dce003dd4d5876f2e4acd07 | Mujer | 2011-05-17 | 2011-07-03 | M-PR | Si | |
| 14,168 | 2,011 | CLDO2**031985 | 1985-03-08 | 34 | 59c44a0a3dce003dd4d5876f2e4acd07 | Mujer | 2011-03-07 | 2011-04-28 | M-PR | Si | |
| 2,159 | 2,010 | CLDO1**031985 | 1985-03-08 | 34 | 59c44a0a3dce003dd4d5876f2e4acd07 | Hombre | 2009-12-31 | 2010-05-31 | PG-PAB | Si | |
| 112,706 | 2,017 | LUVA1**121980 | 1980-12-23 | 38 | 59df2f8f02f216417795d3c0a4153564 | NA | Hombre | 2017-01-17 | 2017-06-30 | PG-PAB | Si |
| 52,677 | 2,014 | LUVA1**121990 | 1990-12-23 | 28 | 59df2f8f02f216417795d3c0a4153564 | Hombre | 2013-12-18 | 2014-03-10 | PG-PAI | Si | |
| 35,071 | 2,013 | LUVA1**121990 | 1990-12-23 | 28 | 59df2f8f02f216417795d3c0a4153564 | Hombre | 2012-12-03 | 2013-06-28 | PG-PAB | Si | |
| 146,128 | 2,019 | JUOS1**111993 | 1993-11-11 | 26 | 59e020e6170c2999afb5d3c236abc1a8 | NA | Hombre | 2017-09-25 | 2019-07-30 | PG-PAB | Si |
| 105,382 | 2,017 | JUOS1**111993 | 1993-11-11 | 25 | 59e020e6170c2999afb5d3c236abc1a8 | NA | Hombre | 2014-06-09 | 2017-06-01 | PG-PAB | Si |
| 24,958 | 2,012 | IRNA2**021993 | 1993-02-15 | 26 | 59e499ced6f79e60cbe52a33be9a92cb | Mujer | 2012-02-15 | 2012-03-29 | PG-PAB | Si | |
| 22,621 | 2,012 | IRNA2**061966 | 1966-06-22 | 53 | 59e499ced6f79e60cbe52a33be9a92cb | Mujer | 2011-10-25 | 2012-01-19 | M-PR | Si | |
| 106,252 | 2,017 | CLUR1**101978 | 1978-10-11 | 41 | 5a1a427f6407e5ebf6c9311276b3d43b | NA | Hombre | 2015-12-14 | 2017-07-13 | PG-PAB | Si |
| 72,465 | 2,015 | CLUR1**101987 | 1987-10-11 | 32 | 5a1a427f6407e5ebf6c9311276b3d43b | Hombre | 2014-11-12 | 2015-10-23 | PG-PR | Si | |
| 93,220 | 2,016 | SESO1**121977 | 1977-12-29 | 41 | 5a80b8ef158e1d0f05d4471c863409aa | Hombre | 2016-01-19 | 2016-04-06 | PG-PAI | Si | |
| 12,907 | 2,011 | SESO1**121978 | 1978-12-29 | 40 | 5a80b8ef158e1d0f05d4471c863409aa | Hombre | 2011-01-20 | 2011-04-19 | Otro | No | |
| 69,234 | 2,015 | ALVA2**101992 | 1992-10-07 | 27 | 5aa22b1d35b733b4c67455d4cca0689e | Mujer | 2014-10-23 | 2015-05-14 | M-PR | Si | |
| 30,394 | 2,012 | ALVA2**101991 | 1991-10-07 | 28 | 5aa22b1d35b733b4c67455d4cca0689e | Mujer | 2012-10-12 | 2013-01-03 | M-PR | Si | |
| 30,062 | 2,012 | ALVA2**101991 | 1991-10-07 | 28 | 5aa22b1d35b733b4c67455d4cca0689e | Mujer | 2012-09-05 | 2012-10-11 | M-PAI | Si | |
| 136,201 | 2,018 | ALBA1**111988 | 1988-11-04 | 31 | 5b25e9d472e59911df950d74bf24fb85 | NA | Hombre | 2018-04-19 | 2018-07-31 | PG-PR | Si |
| 120,864 | 2,017 | ALBA1**111988 | 1988-11-04 | 31 | 5b25e9d472e59911df950d74bf24fb85 | NA | Hombre | 2017-08-21 | 2017-09-07 | PG-PAI | Si |
| 100,764 | 2,016 | ALBA1**111988 | 1988-11-04 | 31 | 5b25e9d472e59911df950d74bf24fb85 | Hombre | 2016-08-03 | 2016-11-21 | PG-PAI | Si | |
| 21,083 | 2,012 | ALBA1**111989 | 1989-11-04 | 30 | 5b25e9d472e59911df950d74bf24fb85 | Hombre | 2011-03-16 | 2012-03-25 | PG-PAB | Si | |
| 6,148 | 2,010 | ALRO1**111988 | 1988-11-04 | 31 | 5b25e9d472e59911df950d74bf24fb85 | Hombre | 2010-06-23 | 2010-08-03 | PG-PAB | Si | |
| 131,906 | 2,018 | YOAG1**071965 | 1965-07-11 | 54 | 5bb781d9306ce4d247c2ee3678ffd169 | NA | Hombre | 2017-11-15 | 2018-11-05 | PG-PAI | Si |
| 106,156 | 2,017 | YOAG1**071965 | 1965-07-11 | 54 | 5bb781d9306ce4d247c2ee3678ffd169 | NA | Hombre | 2015-12-04 | 2017-06-19 | PG-PAI | Si |
| 67,072 | 2,015 | YOAG1**071965 | 1965-07-11 | 54 | 5bb781d9306ce4d247c2ee3678ffd169 | Hombre | 2014-05-08 | 2015-10-05 | PG-PAI | Si | |
| 3,231 | 2,010 | YOAG1**071951 | 1951-07-06 | 68 | 5bb781d9306ce4d247c2ee3678ffd169 | Hombre | 2009-11-04 | 2010-04-06 | PG-PAI | No | |
| 153,487 | 2,019 | CACI1**111988 | 1988-11-06 | 31 | 5bd1a336b19142f5b8547d38c89fadee | NA | Hombre | 2019-02-01 | NA | PG-PAI | Si |
| 53,158 | 2,014 | CACI1**111988 | 1988-11-06 | 30 | 5bd1a336b19142f5b8547d38c89fadee | Hombre | 2014-01-06 | 2014-04-01 | PG-PAI | Si | |
| 146,785 | 2,019 | JARO2**121985 | 1985-12-24 | 33 | 5bff5cc2bd6e7c2db441889c3491f172 | NA | Mujer | 2018-01-22 | 2019-11-05 | M-PAI | Si |
| 101,774 | 2,016 | JARO2**121985 | 1985-12-24 | 33 | 5bff5cc2bd6e7c2db441889c3491f172 | Mujer | 2016-08-22 | 2016-12-12 | M-PAI | Si | |
| 88,218 | 2,016 | JARO2**121985 | 1985-12-24 | 33 | 5bff5cc2bd6e7c2db441889c3491f172 | Mujer | 2015-07-10 | 2016-03-02 | M-PAI | Si | |
| 71,255 | 2,015 | JARO2**121986 | 1986-12-24 | 32 | 5bff5cc2bd6e7c2db441889c3491f172 | Mujer | 2015-01-02 | 2015-02-04 | M-PAI | Si | |
| 66,754 | 2,015 | SAMO1**071989 | 1989-07-14 | 30 | 5c32c9405f7d4c33ea21d763d61f76ff | Hombre | 2014-04-07 | 2016-01-04 | PG-PAB | Si | |
| 47,685 | 2,013 | SAMO1**071979 | 1979-07-14 | 40 | 5c32c9405f7d4c33ea21d763d61f76ff | Hombre | 2013-12-20 | 2014-03-03 | PG-PAB | Si | |
| 91,034 | 2,016 | CAGO1**091981 | 1981-09-20 | 38 | 5c5d74e97c401423a26d6f90fd855b98 | Hombre | 2015-10-06 | 2016-03-31 | PG-PAB | Si | |
| 74,348 | 2,015 | CAGO1**091982 | 1982-09-20 | 37 | 5c5d74e97c401423a26d6f90fd855b98 | Hombre | 2015-03-20 | 2015-06-26 | PG-PAI | Si | |
| 85,711 | 2,016 | MASA2**091970 | 1970-09-11 | 49 | 5c5d87a29348bd48889b4ab10856aead | Mujer | 2014-06-26 | 2016-06-30 | M-PR | Si | |
| 37,446 | 2,013 | MASA2**111970 | 1970-11-11 | 48 | 5c5d87a29348bd48889b4ab10856aead | Mujer | 2013-02-20 | 2013-05-28 | PG-PAB | Si | |
| 29,626 | 2,012 | MASA2**091970 | 1970-09-11 | 49 | 5c5d87a29348bd48889b4ab10856aead | Mujer | 2012-08-28 | 2012-11-09 | M-PAB | Si | |
| 149,189 | 2,019 | ROAG2**111988 | 1988-11-07 | 31 | 5c6d6e5dd5b8442e03670de1b5195310 | NA | Mujer | 2018-09-21 | NA | M-PR | Si |
| 95,500 | 2,016 | ROAG2**111988 | 1988-11-07 | 30 | 5c6d6e5dd5b8442e03670de1b5195310 | Mujer | 2016-03-31 | 2016-09-30 | M-PAI | Si | |
| 89,588 | 2,016 | ROAG2**111988 | 1988-11-07 | 30 | 5c6d6e5dd5b8442e03670de1b5195310 | Mujer | 2015-09-28 | 2016-01-14 | M-PR | Si | |
| 138,545 | 2,018 | MADA2**121992 | 1992-12-17 | 26 | 5cce486c134f846c321fa18ca6d6dac4 | NA | Mujer | 2018-05-04 | 2018-11-20 | PG-PAI | Si |
| 114,673 | 2,017 | MADA2**121992 | 1992-12-17 | 26 | 5cce486c134f846c321fa18ca6d6dac4 | NA | Mujer | 2017-03-02 | 2017-09-04 | PG-PAI | Si |
| 107,790 | 2,017 | MADA2**121992 | 1992-12-17 | 26 | 5cce486c134f846c321fa18ca6d6dac4 | NA | Mujer | 2016-06-22 | 2017-02-28 | M-PR | Si |
| 95,912 | 2,016 | MADA2**021992 | 1992-02-17 | 27 | 5cce486c134f846c321fa18ca6d6dac4 | Mujer | 2016-04-13 | 2016-06-21 | PG-PAB | Si | |
| 62,850 | 2,014 | MADA2**121992 | 1992-12-17 | 26 | 5cce486c134f846c321fa18ca6d6dac4 | Mujer | 2014-10-09 | 2015-01-06 | PG-PAB | Si | |
| 126,665 | 2,018 | LESO1**051959 | 1959-05-30 | 60 | 5ce741b10df9df4103b6d4ceae909d11 | NA | Hombre | 2017-02-02 | 2018-05-31 | PG-PR | Si |
| 104,504 | 2,016 | LESO1**051959 | 1959-05-30 | 60 | 5ce741b10df9df4103b6d4ceae909d11 | Hombre | 2016-11-01 | 2017-02-01 | PG-PAI | Si | |
| 48,179 | 2,014 | LESO1**031957 | 1957-03-30 | 62 | 5ce741b10df9df4103b6d4ceae909d11 | Hombre | 2013-01-02 | 2014-05-19 | PG-PAI | Si | |
| 53,699 | 2,014 | ARCO1**041982 | 1982-04-08 | 37 | 5cf7e0058df0a8c347b8dc1358b0f1c6 | Hombre | 2014-01-21 | 2014-08-02 | PG-PR | Si | |
| 36,834 | 2,013 | ARCO1**121975 | 1975-12-10 | 43 | 5cf7e0058df0a8c347b8dc1358b0f1c6 | Hombre | 2013-01-08 | 2013-10-01 | PG-PR | Si | |
| 35,645 | 2,013 | ARCO1**121975 | 1975-12-10 | 43 | 5cf7e0058df0a8c347b8dc1358b0f1c6 | Hombre | 2013-01-08 | 2013-02-02 | PG-PR | Si | |
| 94,139 | 2,016 | KAIN2**081985 | 1985-08-08 | 34 | 5cff430b77f4706a864af2dfd9136b98 | Mujer | 2016-02-20 | 2016-02-22 | M-PR | Si | |
| 92,375 | 2,016 | KAIN2**081986 | 1986-08-08 | 33 | 5cff430b77f4706a864af2dfd9136b98 | Mujer | 2016-01-22 | 2016-02-19 | M-PAI | Si | |
| 129,428 | 2,018 | JOOY1**011999 | 1999-01-24 | 20 | 5d4e4614962cdfbb16bdd276b7aa120a | NA | Hombre | 2017-09-21 | 2018-07-11 | PG-PAB | Si |
| 52,110 | 2,014 | JOOY1**011991 | 1991-01-24 | 28 | 5d4e4614962cdfbb16bdd276b7aa120a | Hombre | 2013-11-13 | 2014-08-04 | PG-PAB | Si | |
| 38,774 | 2,013 | JOOY1**011991 | 1991-01-24 | 28 | 5d4e4614962cdfbb16bdd276b7aa120a | Hombre | 2013-04-25 | 2013-07-31 | PG-PAI | Si | |
| 26,138 | 2,012 | JOOY1**011991 | 1991-01-24 | 28 | 5d4e4614962cdfbb16bdd276b7aa120a | Hombre | 2012-04-18 | 2012-10-31 | PG-PAB | Si | |
| 15,947 | 2,011 | JOOY1**011991 | 1991-01-24 | 28 | 5d4e4614962cdfbb16bdd276b7aa120a | Hombre | 2011-05-12 | 2011-09-29 | PG-PAB | Si | |
| 125,954 | 2,018 | SAMA2**061971 | 1971-06-15 | 48 | 5d541ea2d7d88eb4f9fe96847f5c1d19 | NA | Mujer | 2016-02-01 | 2018-05-24 | PG-PAI | Si |
| 65,433 | 2,015 | SAMA2**081970 | 1970-08-27 | 49 | 5d541ea2d7d88eb4f9fe96847f5c1d19 | Mujer | 2013-01-01 | 2015-04-01 | PG-PAI | Si | |
| 130,240 | 2,018 | BRPO1**081997 | 1997-08-01 | 22 | 5d5d4f6cb6d7268a3705105250d83d4d | NA | Hombre | 2017-10-24 | 2018-08-24 | PG-PR | Si |
| 121,130 | 2,017 | BRPO1**081999 | 1999-08-01 | 20 | 5d5d4f6cb6d7268a3705105250d83d4d | NA | Hombre | 2017-07-12 | 2017-10-23 | PG-PAI | Si |
| 61,697 | 2,014 | SEAL1**111983 | 1983-11-12 | 35 | 5dbeef09e7d209c6384f23f3421a47aa | Hombre | 2014-06-16 | 2014-11-17 | PG-PR | Si | |
| 57,221 | 2,014 | SEAL1**111983 | 1983-11-02 | 36 | 5dbeef09e7d209c6384f23f3421a47aa | Hombre | 2014-04-15 | 2014-06-25 | PG-PAB | Si | |
| 5,390 | 2,010 | SEAL1**111983 | 1983-11-02 | 36 | 5dbeef09e7d209c6384f23f3421a47aa | Hombre | 2010-05-06 | 2010-07-01 | PG-PR | Si | |
| 18,701 | 2,011 | FAOL1**041986 | 1986-04-04 | 33 | 5dda046920f44c681845287d201c6187 | Hombre | 2008-11-19 | 2011-09-30 | PG-PAB | Si | |
| 16,173 | 2,011 | FAOL1**041986 | 1986-04-04 | 33 | 5dda046920f44c681845287d201c6187 | Hombre | 2008-11-19 | 2011-08-31 | PG-PAI | Si | |
| 11,837 | 2,011 | FAOL1**041991 | 1991-04-04 | 28 | 5dda046920f44c681845287d201c6187 | Hombre | 2008-11-19 | 2011-04-27 | PG-PAB | Si | |
| 6,867 | 2,010 | FAOL1**041986 | 1986-04-04 | 33 | 5dda046920f44c681845287d201c6187 | Hombre | 2008-11-19 | 2010-09-30 | PG-PAI | Si | |
| 58,856 | 2,014 | SECO1**101978 | 1978-10-18 | 41 | 5df2f229995c8fac25f5b2a711269bc6 | Hombre | 2014-06-17 | 2014-10-01 | PG-PAI | Si | |
| 21,889 | 2,012 | SECO1**111978 | 1978-11-18 | 40 | 5df2f229995c8fac25f5b2a711269bc6 | Hombre | 2011-08-17 | 2012-04-30 | PG-PAI | Si | |
| 113,983 | 2,017 | NALA2**011982 | 1982-01-14 | 37 | 5df752405b3351905e7e030c8cb57921 | NA | Mujer | 2017-02-27 | 2017-10-31 | M-PAI | Si |
| 111,210 | 2,017 | NALA2**011981 | 1981-01-14 | 38 | 5df752405b3351905e7e030c8cb57921 | NA | Mujer | 2016-12-05 | 2017-01-20 | PG-PAI | Si |
| 75,064 | 2,015 | NALA2**011982 | 1982-01-14 | 37 | 5df752405b3351905e7e030c8cb57921 | Mujer | 2015-04-16 | 2015-12-17 | M-PAI | Si | |
| 162,383 | 2,019 | MAGO2**111986 | 1986-11-06 | 33 | 5e1e5070f44ce5e47f3963df85f012e5 | NA | Mujer | 2019-09-23 | NA | PG-PAB | Si |
| 108,691 | 2,017 | MAGO2**111986 | 1986-11-06 | 32 | 5e1e5070f44ce5e47f3963df85f012e5 | NA | Mujer | 2016-08-11 | 2017-07-27 | M-PAI | Si |
| 114,857 | 2,017 | ALGO2**071987 | 1987-07-15 | 32 | 5e496767473c3504a48abe41dac58352 | NA | Mujer | 2017-03-23 | 2017-06-30 | M-PR | Si |
| 17,777 | 2,011 | ALGO2**071992 | 1992-07-15 | 27 | 5e496767473c3504a48abe41dac58352 | Mujer | 2011-08-09 | 2011-09-30 | M-PR | Si | |
| 13,113 | 2,011 | ALGO2**071987 | 1987-07-15 | 32 | 5e496767473c3504a48abe41dac58352 | Mujer | 2011-01-26 | 2011-02-28 | M-PR | Si | |
| 146,312 | 2,019 | MALE2**111992 | 1992-11-09 | 27 | 5e5087aa7d95f16bc15990bb3b8b2294 | NA | Mujer | 2017-11-06 | 2019-02-28 | M-PR | Si |
| 115,754 | 2,017 | MALE2**111992 | 1992-11-09 | 26 | 5e5087aa7d95f16bc15990bb3b8b2294 | NA | Mujer | 2017-04-06 | 2017-11-01 | PG-PAB | Si |
| 86,415 | 2,016 | RUCA2**071958 | 1958-07-08 | 61 | 5e67a3ab52aa26031af4b621d28a3403 | Mujer | 2013-01-31 | 2017-01-06 | PG-PAI | Si | |
| 56,108 | 2,014 | RUCA2**071958 | 1958-07-08 | 61 | 5e67a3ab52aa26031af4b621d28a3403 | Mujer | 2013-01-08 | 2015-02-04 | PG-PAB | Si | |
| 18,129 | 2,011 | RUCA2**071992 | 1992-07-08 | 27 | 5e67a3ab52aa26031af4b621d28a3403 | Mujer | 2011-08-16 | 2011-12-20 | M-PR | No | |
| 130,002 | 2,018 | FECA1**031985 | 1985-03-19 | 34 | 5eae11e4d772232a13ab8991361b3dc5 | NA | Hombre | 2017-10-10 | 2018-06-14 | PG-PR | Si |
| 102,007 | 2,016 | FECA1**031983 | 1983-03-19 | 36 | 5eae11e4d772232a13ab8991361b3dc5 | Hombre | 2016-09-15 | 2016-11-01 | PG-PAI | Si | |
| 93,939 | 2,016 | FECA1**031983 | 1983-03-19 | 36 | 5eae11e4d772232a13ab8991361b3dc5 | Hombre | 2016-01-26 | 2016-08-03 | PG-PR | Si | |
| 89,856 | 2,016 | FECA1**031983 | 1983-03-19 | 36 | 5eae11e4d772232a13ab8991361b3dc5 | Hombre | 2015-10-08 | 2016-01-20 | PG-PAI | Si | |
| 17,731 | 2,011 | FECA1**031983 | 1983-03-19 | 36 | 5eae11e4d772232a13ab8991361b3dc5 | Hombre | 2011-08-08 | 2012-01-25 | PG-PAB | No | |
| 15,116 | 2,011 | FECA1**031983 | 1983-03-19 | 36 | 5eae11e4d772232a13ab8991361b3dc5 | Hombre | 2011-04-21 | 2011-05-26 | PG-PAB | Si | |
| 116,387 | 2,017 | JUJA1**071974 | 1974-07-03 | 45 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | NA | Hombre | 2017-04-04 | 2017-07-01 | PG-PR | No |
| 106,118 | 2,017 | JUJA1**071974 | 1974-07-03 | 45 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | NA | Hombre | 2015-10-21 | 2017-03-31 | PG-PAI | Si |
| 65,472 | 2,015 | JUJA1**071974 | 1974-07-03 | 45 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | Hombre | 2012-07-10 | 2015-07-31 | PG-PAI | Si | |
| 34,933 | 2,013 | JUJA1**091974 | 1974-09-03 | 45 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | Hombre | 2012-07-10 | 2013-01-01 | PG-PAB | Si | |
| 24,272 | 2,012 | JUJA1**011993 | 1993-01-16 | 26 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | Hombre | 2012-01-21 | 2012-01-26 | PG-PR | No | |
| 21,173 | 2,012 | JUJA1**061974 | 1974-06-22 | 45 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | Hombre | 2011-02-28 | 2012-01-16 | PG-PR | Si | |
| 21,223 | 2,012 | CEBE1**111963 | 1963-11-04 | 56 | 5eed7cad22a3c5ec83a1dc71d4c99b71 | Hombre | 2010-10-22 | 2012-03-07 | PG-PAB | Si | |
| 3,245 | 2,010 | CEBE1**111962 | 1962-11-04 | 57 | 5eed7cad22a3c5ec83a1dc71d4c99b71 | Hombre | 2010-01-22 | 2010-02-26 | PG-PAB | Si | |
| 149,661 | 2,019 | DAMO1**091980 | 1980-09-02 | 39 | 5f2bf849fde5375c58838205912adec3 | NA | Hombre | 2018-10-11 | 2019-01-08 | PG-PR | Si |
| 120,940 | 2,017 | DAMO1**091980 | 1980-09-02 | 39 | 5f2bf849fde5375c58838205912adec3 | NA | Hombre | 2017-08-01 | 2017-10-16 | PG-PAI | Si |
| 118,657 | 2,017 | DAMO1**091980 | 1980-09-02 | 39 | 5f2bf849fde5375c58838205912adec3 | NA | Hombre | 2017-06-15 | 2017-07-31 | PG-PAB | Si |
| 42,788 | 2,013 | DAMO1**081994 | 1994-08-01 | 25 | 5f2bf849fde5375c58838205912adec3 | Hombre | 2013-08-01 | 2013-11-19 | PG-PAB | Si | |
| 12,830 | 2,011 | DAMO1**091980 | 1980-09-02 | 39 | 5f2bf849fde5375c58838205912adec3 | Hombre | 2011-01-26 | 2011-10-31 | PG-PR | Si | |
| 12,752 | 2,011 | DAMO1**091980 | 1980-09-02 | 39 | 5f2bf849fde5375c58838205912adec3 | Hombre | 2011-01-07 | 2011-01-27 | PG-PAB | Si | |
| 131,213 | 2,018 | ERGU1**091974 | 1974-09-10 | 45 | 5f38403b5348de1127bbee34e9d38423 | NA | Hombre | 2017-11-02 | 2018-10-23 | PG-PAI | Si |
| 107,359 | 2,017 | ERGU1**091974 | 1974-09-10 | 45 | 5f38403b5348de1127bbee34e9d38423 | NA | Hombre | 2016-05-25 | 2017-01-04 | PG-PR | Si |
| 90,169 | 2,016 | ERGU1**091994 | 1994-09-10 | 25 | 5f38403b5348de1127bbee34e9d38423 | Hombre | 2015-10-28 | 2016-03-01 | PG-PR | Si | |
| 56,840 | 2,014 | SIAG2**031964 | 1964-03-14 | 55 | 5f4134f42c0a128faee84263c4572516 | Mujer | 2014-04-24 | 2014-10-30 | M-PR | Si | |
| 49,636 | 2,014 | SIAG2**031969 | 1969-03-14 | 50 | 5f4134f42c0a128faee84263c4572516 | Mujer | 2013-06-28 | 2014-03-03 | M-PAI | Si | |
| 34,103 | 2,013 | SIAG2**031969 | 1969-03-14 | 50 | 5f4134f42c0a128faee84263c4572516 | Mujer | 2012-10-15 | 2013-07-01 | PG-PR | Si | |
| 17,775 | 2,011 | SIAG2**081992 | 1992-08-03 | 27 | 5f4134f42c0a128faee84263c4572516 | Mujer | 2011-08-03 | 2011-12-07 | M-PR | Si | |
| 121,054 | 2,017 | HIMI2**091958 | 1958-09-08 | 61 | 5f4ff611db6116825b590c4ea8b30339 | NA | Mujer | 2017-08-02 | 2017-11-30 | M-PAI | Si |
| 49,759 | 2,014 | HIMI2**091955 | 1955-09-08 | 64 | 5f4ff611db6116825b590c4ea8b30339 | Mujer | 2013-07-17 | 2014-05-06 | PG-PAI | Si | |
| 71,845 | 2,015 | ERRO2**091962 | 1962-09-30 | 57 | 5f690fd17a2cc3e926a38870e5d47c8e | Mujer | 2015-01-29 | 2015-09-28 | PG-PAB | Si | |
| 54,981 | 2,014 | ERRO2**091961 | 1961-09-30 | 58 | 5f690fd17a2cc3e926a38870e5d47c8e | Mujer | 2014-02-20 | 2014-12-13 | M-PR | Si | |
| 116,618 | 2,017 | RIIB1**121961 | 1961-12-25 | 57 | 600238ec9b57e26c91d48da07fb5b139 | NA | Hombre | 2017-05-09 | 2017-12-01 | PG-PR | Si |
| 77,130 | 2,015 | RIIB1**121962 | 1962-12-23 | 56 | 600238ec9b57e26c91d48da07fb5b139 | Hombre | 2015-05-07 | 2015-05-29 | PG-PAI | Si | |
| 56,348 | 2,014 | RIIB1**121961 | 1961-12-23 | 57 | 600238ec9b57e26c91d48da07fb5b139 | Hombre | 2014-04-04 | 2014-10-09 | PG-PR | Si | |
| 159,961 | 2,019 | JEES2**071984 | 1984-07-23 | 35 | 6002ccff0133fbb02f7fffc4096012f8 | NA | Mujer | 2019-07-10 | NA | PG-PAI | Si |
| 153,888 | 2,019 | JEES2**071985 | 1985-07-23 | 34 | 6002ccff0133fbb02f7fffc4096012f8 | NA | Mujer | 2019-02-21 | 2019-04-01 | PG-PR | No |
| 84,780 | 2,015 | JEES2**071985 | 1985-07-23 | 34 | 6002ccff0133fbb02f7fffc4096012f8 | Mujer | 2015-12-07 | 2016-01-16 | M-PR | Si | |
| 80,876 | 2,015 | JEES2**071985 | 1985-07-23 | 34 | 6002ccff0133fbb02f7fffc4096012f8 | Mujer | 2015-08-17 | 2015-12-07 | PG-PAI | Si | |
| 75,633 | 2,015 | JEES2**071985 | 1985-07-23 | 34 | 6002ccff0133fbb02f7fffc4096012f8 | Mujer | 2015-04-01 | 2015-08-10 | PG-PAI | Si | |
| 53,967 | 2,014 | JEES2**071985 | 1985-07-23 | 34 | 6002ccff0133fbb02f7fffc4096012f8 | Mujer | 2014-01-02 | 2014-07-28 | PG-PAI | Si | |
| 69,607 | 2,015 | LURU1**111985 | 1985-11-20 | 33 | 6015820066908811088f6fe1c1fd97d0 | Hombre | 2014-11-03 | 2014-12-31 | PG-PAI | Si | |
| 46,796 | 2,013 | LURU1**111987 | 1987-11-20 | 31 | 6015820066908811088f6fe1c1fd97d0 | Hombre | 2013-11-05 | 2014-03-19 | PG-PAI | Si | |
| 40,849 | 2,013 | LURU1**111985 | 1985-11-20 | 33 | 6015820066908811088f6fe1c1fd97d0 | Hombre | 2013-06-07 | 2013-06-24 | PG-PR | Si | |
| 38,708 | 2,013 | LURU1**111987 | 1987-11-20 | 31 | 6015820066908811088f6fe1c1fd97d0 | Hombre | 2013-04-10 | 2013-06-01 | PG-PAI | Si | |
| 98,645 | 2,016 | MALO2**021968 | 1968-02-15 | 51 | 6033dab1b9b20d031c2d6c8c4c78108b | Mujer | 2016-06-16 | 2016-11-24 | PG-PAB | Si | |
| 88,150 | 2,016 | MALO2**021966 | 1966-02-15 | 53 | 6033dab1b9b20d031c2d6c8c4c78108b | Mujer | 2015-07-14 | 2016-02-25 | PG-PAB | Si | |
| 149,828 | 2,019 | NOCA2**111966 | 1966-11-10 | 53 | 603deca766468c7556db103bd5cf11fe | NA | Mujer | 2018-10-23 | NA | PG-PAI | Si |
| 128,410 | 2,018 | NOCA2**111966 | 1966-11-16 | 52 | 603deca766468c7556db103bd5cf11fe | NA | Mujer | 2017-07-07 | 2018-01-26 | M-PAI | Si |
| 20,642 | 2,012 | NOCA2**111966 | 1966-11-10 | 52 | 603deca766468c7556db103bd5cf11fe | Mujer | 2009-03-30 | 2012-04-30 | PG-PAB | Si | |
| 147,191 | 2,019 | OSAL1**081982 | 1982-08-29 | 37 | 6061bbf673474dfc0a0f6d9ad49d3026 | NA | Hombre | 2018-04-17 | 2019-02-01 | PG-PR | Si |
| 132,301 | 2,018 | OSAL1**081982 | 1982-08-29 | 37 | 6061bbf673474dfc0a0f6d9ad49d3026 | NA | Hombre | 2017-12-27 | 2018-04-16 | PG-PAI | Si |
| 99,444 | 2,016 | OSAL1**081982 | 1982-08-29 | 37 | 6061bbf673474dfc0a0f6d9ad49d3026 | Hombre | 2016-07-12 | 2016-12-01 | PG-PR | Si | |
| 92,159 | 2,016 | OSAL1**081981 | 1981-08-29 | 38 | 6061bbf673474dfc0a0f6d9ad49d3026 | Hombre | 2016-01-15 | 2016-07-11 | PG-PAI | Si | |
| 70,097 | 2,015 | OSAL1**081982 | 1982-08-29 | 37 | 6061bbf673474dfc0a0f6d9ad49d3026 | Hombre | 2014-11-27 | 2015-08-10 | PG-PAI | No | |
| 36,722 | 2,013 | JAMA1**021975 | 1975-02-12 | 44 | 608128bade3313068c279b85f9e48210 | Hombre | 2013-02-04 | NA | PG-PAI | Si | |
| 16,077 | 2,011 | YUVA1**041973 | 1973-04-13 | 46 | 608128bade3313068c279b85f9e48210 | Hombre | 2011-03-05 | 2011-11-02 | PG-PR | No | |
| 2,030 | 2,010 | YUVE1**041973 | 1973-04-13 | 46 | 608128bade3313068c279b85f9e48210 | Hombre | 2009-10-09 | 2010-06-01 | PG-PAI | Si | |
| 72,390 | 2,015 | LAFU2**061962 | 1962-06-27 | 57 | 60abc2f28c48aeba3ce84d07c7fa9489 | Mujer | 2015-02-09 | 2015-06-23 | M-PAI | Si | |
| 67,710 | 2,015 | LAFU2**061964 | 1964-06-27 | 55 | 60abc2f28c48aeba3ce84d07c7fa9489 | Mujer | 2014-03-05 | 2015-01-30 | PG-PAI | Si | |
| 81,702 | 2,015 | ABGO1**041984 | 1984-04-18 | 35 | 60c80267639c08cdfef770998a3345ec | Hombre | 2015-09-22 | 2015-10-10 | PG-PR | Si | |
| 58,352 | 2,014 | ABGO1**041984 | 1984-04-18 | 35 | 60c80267639c08cdfef770998a3345ec | Hombre | 2014-05-13 | 2014-07-01 | PG-PR | Si | |
| 22,042 | 2,012 | ABGO1**041984 | 1984-04-18 | 35 | 60c80267639c08cdfef770998a3345ec | Hombre | 2011-07-27 | 2012-01-09 | PG-PR | Si | |
| 16,780 | 2,011 | ABGO1**041984 | 1984-04-18 | 35 | 60c80267639c08cdfef770998a3345ec | Hombre | 2011-06-01 | 2011-07-22 | PG-PAI | Si | |
| 12,966 | 2,011 | ABGO1**041987 | 1987-04-18 | 32 | 60c80267639c08cdfef770998a3345ec | Hombre | 2011-01-05 | 2011-03-11 | PG-PAI | Si | |
| 121,097 | 2,017 | FRCA1**111990 | 1990-11-24 | 28 | 60d1d8394976618ad9a926dee7884dc8 | NA | Hombre | 2017-04-28 | 2017-10-23 | PG-PAI | No |
| 6,218 | 2,010 | FRCA1**111950 | 1950-11-24 | 68 | 60d1d8394976618ad9a926dee7884dc8 | Hombre | 2010-06-24 | 2010-07-25 | Otro | No | |
| 162,697 | 2,019 | MANA1**111972 | 1972-11-06 | 47 | 60ec4b5ab64a55015172d9c854292dd2 | NA | Hombre | 2019-10-22 | NA | PG-PAI | Si |
| 134,966 | 2,018 | MANA1**111972 | 1972-11-06 | 46 | 60ec4b5ab64a55015172d9c854292dd2 | NA | Hombre | 2017-10-19 | 2018-07-31 | PG-PAI | Si |
| 54,408 | 2,014 | CAGO2**021987 | 1987-02-14 | 32 | 610f1af6cbdf4e7d715b1840a11d6ffc | Mujer | 2014-02-04 | 2014-08-12 | PG-PAB | Si | |
| 41,635 | 2,013 | CAGO2**121987 | 1987-12-14 | 31 | 610f1af6cbdf4e7d715b1840a11d6ffc | Mujer | 2013-06-06 | 2014-01-20 | PG-PAI | Si | |
| 22,597 | 2,012 | CAGO2**121987 | 1987-12-14 | 31 | 610f1af6cbdf4e7d715b1840a11d6ffc | Mujer | 2011-10-18 | 2012-09-03 | PG-PAB | Si | |
| 57,151 | 2,014 | LIGO2**101987 | 1987-10-14 | 32 | 61192822d7b8420107683b788b23d3cf | Mujer | 2014-04-18 | 2015-01-23 | M-PAI | Si | |
| 45,061 | 2,013 | LIGO2**101986 | 1986-10-14 | 33 | 61192822d7b8420107683b788b23d3cf | Mujer | 2013-10-14 | 2013-10-18 | M-PR | Si | |
| 37,383 | 2,013 | LIGO2**101987 | 1987-10-14 | 32 | 61192822d7b8420107683b788b23d3cf | Mujer | 2013-01-07 | 2013-04-29 | M-PAI | Si | |
| 153,764 | 2,019 | MAUL2**041978 | 1978-04-29 | 41 | 613f750b24a793860b7489ae94fd4d52 | NA | Mujer | 2019-02-20 | 2019-10-01 | M-PR | Si |
| 131,868 | 2,018 | MAUL2**051980 | 1980-05-15 | 39 | 613f750b24a793860b7489ae94fd4d52 | NA | Mujer | 2017-12-12 | 2018-10-11 | M-PAI | Si |
| 148,637 | 2,019 | LUMA1**071968 | 1968-07-11 | 51 | 614503f45047d7d3cf3ebab104890506 | NA | Hombre | 2018-08-21 | 2019-05-30 | PG-PR | Si |
| 126,711 | 2,018 | LUMA1**071968 | 1968-07-11 | 51 | 614503f45047d7d3cf3ebab104890506 | NA | Hombre | 2017-02-07 | 2018-03-31 | PG-PR | Si |
| 103,431 | 2,016 | LUMA1**071996 | 1996-07-11 | 23 | 614503f45047d7d3cf3ebab104890506 | Hombre | 2016-10-28 | 2016-11-29 | PG-PAI | Si | |
| 69,220 | 2,015 | LUMA1**071968 | 1968-07-11 | 51 | 614503f45047d7d3cf3ebab104890506 | Hombre | 2014-10-26 | 2015-07-01 | PG-PAI | Si | |
| 21,127 | 2,012 | LUMA1**071968 | 1968-07-14 | 51 | 614503f45047d7d3cf3ebab104890506 | Hombre | 2011-03-09 | 2012-05-07 | PG-PAI | Si | |
| 37,484 | 2,013 | PASC2**061982 | 1982-06-27 | 37 | 617e94145f791e6a960406039b5d3267 | Mujer | 2013-02-22 | 2013-12-19 | M-PR | No | |
| 28,771 | 2,012 | PASC2**061981 | 1981-06-27 | 38 | 617e94145f791e6a960406039b5d3267 | Mujer | 2012-05-25 | 2012-08-31 | PG-PAB | Si | |
| 13,842 | 2,011 | PASC2**061981 | 1981-06-27 | 38 | 617e94145f791e6a960406039b5d3267 | Mujer | 2011-02-02 | 2011-06-30 | PG-PAI | Si | |
| 4,748 | 2,010 | PASC2**061981 | 1981-06-27 | 38 | 617e94145f791e6a960406039b5d3267 | Mujer | 2010-04-26 | 2010-05-07 | M-PR | No | |
| 319 | 2,010 | PASC2**071981 | 1981-07-27 | 38 | 617e94145f791e6a960406039b5d3267 | Mujer | 2009-07-20 | 2010-04-01 | PG-PAB | Si | |
| 43,144 | 2,013 | MAAR2**121959 | 1959-12-09 | 59 | 61a56d20db61f5132e0c280a5ac61390 | Mujer | 2013-08-14 | 2013-09-02 | PG-PR | Si | |
| 15,863 | 2,011 | MAAR2**011959 | 1959-01-09 | 60 | 61a56d20db61f5132e0c280a5ac61390 | Mujer | 2011-05-16 | 2011-08-31 | PG-PAB | Si | |
| 155,991 | 2,019 | SAMU1**121970 | 1970-12-23 | 48 | 61aad02ec8b63c549f1f7b02ee64e493 | NA | Hombre | 2019-04-01 | NA | PG-PAI | Si |
| 138,618 | 2,018 | SAMU1**121970 | 1970-12-23 | 48 | 61aad02ec8b63c549f1f7b02ee64e493 | NA | Hombre | 2018-06-15 | 2018-11-14 | PG-PR | Si |
| 135,589 | 2,018 | SAMU1**121971 | 1971-12-23 | 47 | 61aad02ec8b63c549f1f7b02ee64e493 | NA | Hombre | 2018-02-05 | 2018-06-14 | PG-PAI | Si |
| 130,498 | 2,018 | CRRE1**051988 | 1988-05-15 | 31 | 61bc966c192dd86165d7274fe83dafe1 | NA | Hombre | 2017-10-02 | 2018-03-01 | PG-PAB | Si |
| 110,149 | 2,017 | CRRE1**051985 | 1985-05-15 | 34 | 61bc966c192dd86165d7274fe83dafe1 | NA | Hombre | 2016-10-14 | 2017-10-01 | PG-PR | Si |
| 94,629 | 2,016 | CRRE1**051988 | 1988-05-15 | 31 | 61bc966c192dd86165d7274fe83dafe1 | Hombre | 2016-03-14 | 2016-10-13 | PG-PAI | Si | |
| 115,559 | 2,017 | CAOR1**031999 | 1999-03-30 | 20 | 61d28f0b3b3ddf072a176767ba7eb1b9 | NA | Hombre | 2017-01-20 | 2017-12-01 | PG-PAI | Si |
| 23,650 | 2,012 | CAOR1**011980 | 1980-01-30 | 39 | 61d28f0b3b3ddf072a176767ba7eb1b9 | Hombre | 2011-12-19 | 2012-09-17 | PG-PAI | Si | |
| 127,967 | 2,018 | ROMA1**111972 | 1972-11-21 | 46 | 61f5b5d80dcf67e0aca308da98e62281 | NA | Hombre | 2017-06-23 | 2018-03-01 | PG-PAB | Si |
| 93,409 | 2,016 | ROMA1**111972 | 1972-11-21 | 46 | 61f5b5d80dcf67e0aca308da98e62281 | Hombre | 2016-02-04 | 2016-09-21 | PG-PR | Si | |
| 85,810 | 2,016 | ROMA1**111971 | 1971-11-21 | 47 | 61f5b5d80dcf67e0aca308da98e62281 | Hombre | 2014-08-08 | 2016-02-03 | PG-PAI | Si | |
| 20,766 | 2,012 | ROMA1**111972 | 1972-11-21 | 46 | 61f5b5d80dcf67e0aca308da98e62281 | Hombre | 2010-10-18 | 2012-10-01 | PG-PAI | Si | |
| 109,549 | 2,017 | ENES1**121960 | 1960-12-03 | 58 | 62549beb63c3c36b134b4f4eac63b020 | NA | Hombre | 2016-10-11 | 2017-05-01 | PG-PAB | Si |
| 63,783 | 2,014 | MAES1**021960 | 1960-02-03 | 59 | 62549beb63c3c36b134b4f4eac63b020 | Hombre | 2014-10-29 | 2015-01-29 | PG-PAI | Si | |
| 71,507 | 2,015 | CLCA1**031972 | 1972-03-12 | 47 | 633fbb6471b6d7a0f610cd774bf62988 | Hombre | 2015-01-08 | 2015-04-22 | PG-PAI | Si | |
| 54,148 | 2,014 | CLCA1**031972 | 1972-03-12 | 47 | 633fbb6471b6d7a0f610cd774bf62988 | Hombre | 2014-01-28 | 2014-07-01 | PG-PAB | No | |
| 37,410 | 2,013 | CLCA1**031971 | 1971-03-12 | 48 | 633fbb6471b6d7a0f610cd774bf62988 | Hombre | 2013-02-26 | 2013-08-08 | PG-PR | Si | |
| 146,523 | 2,019 | MANA1**111981 | 1981-11-06 | 38 | 634ad1403ca15b4ddc9444bf044767bc | NA | Hombre | 2018-01-23 | NA | PG-PR | Si |
| 105,543 | 2,017 | MANA1**111981 | 1981-11-06 | 37 | 634ad1403ca15b4ddc9444bf044767bc | NA | Hombre | 2015-03-26 | 2017-04-21 | PG-PR | Si |
| 71,418 | 2,015 | MANA1**111981 | 1981-11-06 | 37 | 634ad1403ca15b4ddc9444bf044767bc | Hombre | 2015-01-05 | 2015-03-26 | PG-PAI | Si | |
| 67,932 | 2,015 | MANA1**111981 | 1981-11-06 | 37 | 634ad1403ca15b4ddc9444bf044767bc | Hombre | 2014-07-09 | 2014-12-30 | PG-PAB | Si | |
| 97,823 | 2,016 | PAPE2**071983 | 1983-07-14 | 36 | 6360c7b079194ef6330356ad6615bcfa | Mujer | 2016-05-23 | 2016-12-20 | M-PAI | Si | |
| 95,838 | 2,016 | PAPE2**041996 | 1996-04-02 | 23 | 6360c7b079194ef6330356ad6615bcfa | Mujer | 2016-03-31 | 2016-05-13 | M-PAI | Si | |
| 94,874 | 2,016 | PAPE2**061983 | 1983-06-14 | 36 | 6360c7b079194ef6330356ad6615bcfa | Mujer | 2016-03-24 | 2016-03-28 | M-PR | Si | |
| 102,524 | 2,016 | LUPA1**121982 | 1982-12-03 | 36 | 6399431ce5cea017850abe9808e0e28b | Hombre | 2016-09-01 | 2016-10-31 | PG-PAB | Si | |
| 94,255 | 2,016 | LUPA1**071982 | 1982-07-17 | 37 | 6399431ce5cea017850abe9808e0e28b | Hombre | 2016-02-01 | 2016-04-30 | PG-PAI | Si | |
| 91,862 | 2,016 | LUPA1**071982 | 1982-07-17 | 37 | 6399431ce5cea017850abe9808e0e28b | Hombre | 2015-12-03 | 2016-01-29 | PG-PAB | Si | |
| 48,045 | 2,014 | MADE2**111993 | 1993-11-01 | 26 | 640b5a60580e9b6b4500545af987c528 | Mujer | 2012-10-02 | 2014-11-13 | M-PAI | Si | |
| 26,924 | 2,012 | MADE2**111989 | 1989-11-01 | 30 | 640b5a60580e9b6b4500545af987c528 | Mujer | 2012-05-29 | 2012-06-25 | M-PR | Si | |
| 99,915 | 2,016 | ANES1**021975 | 1975-02-05 | 44 | 640d3f8ee84e7f91442e2a47454fbccc | Hombre | 2016-06-01 | 2016-09-26 | PG-PAI | Si | |
| 88,557 | 2,016 | ANES1**021976 | 1976-02-05 | 43 | 640d3f8ee84e7f91442e2a47454fbccc | Hombre | 2015-05-13 | 2016-03-29 | PG-PAI | Si | |
| 71,097 | 2,015 | LUSA1**091954 | 1954-09-10 | 65 | 647ee162b4ba6e5dae1561dd9c993903 | Hombre | 2015-01-14 | 2015-06-03 | PG-PAB | Si | |
| 55,137 | 2,014 | LUSA1**091960 | 1960-09-10 | 59 | 647ee162b4ba6e5dae1561dd9c993903 | Hombre | 2014-03-04 | 2014-07-03 | PG-PAB | Si | |
| 99,643 | 2,016 | ALAT1**031974 | 1974-03-25 | 45 | 6493ea969763d77f08c93389ff2222e9 | Hombre | 2016-07-01 | 2016-10-03 | PG-PAB | Si | |
| 69,879 | 2,015 | ALAT1**031974 | 1974-03-25 | 45 | 6493ea969763d77f08c93389ff2222e9 | Hombre | 2014-10-02 | 2015-03-24 | PG-PAI | Si | |
| 11,575 | 2,011 | ALAT1**101991 | 1991-10-01 | 28 | 6493ea969763d77f08c93389ff2222e9 | Hombre | 2010-10-01 | 2011-05-30 | PG-PAB | No | |
| 92,860 | 2,016 | ROFI1**111982 | 1982-11-11 | 36 | 64a12e5191add2b68284ef98753ec0d8 | Hombre | 2016-01-14 | 2016-10-27 | PG-PAI | Si | |
| 90,614 | 2,016 | ROFI1**111982 | 1982-11-01 | 37 | 64a12e5191add2b68284ef98753ec0d8 | Hombre | 2015-11-09 | 2016-01-12 | PG-PR | Si | |
| 135,518 | 2,018 | SEDI1**011988 | 1988-01-24 | 31 | 64a42d46c0be692de4a4e9bc85d5a272 | NA | Hombre | 2018-03-29 | 2018-05-15 | PG-PAI | Si |
| 100,747 | 2,016 | SEDI1**011996 | 1996-01-24 | 23 | 64a42d46c0be692de4a4e9bc85d5a272 | Hombre | 2016-08-22 | 2016-09-05 | PG-PAI | Si | |
| 96,880 | 2,016 | JUCE1**051996 | 1996-05-01 | 23 | 64cdbaaa9243a43ec59043b5a6105294 | Hombre | 2016-04-29 | 2016-09-13 | PG-PAB | Si | |
| 92,215 | 2,016 | JUCE2**061987 | 1987-06-01 | 32 | 64cdbaaa9243a43ec59043b5a6105294 | Mujer | 2015-12-09 | 2016-04-27 | PG-PAB | Si | |
| 78,992 | 2,015 | JUCE1**061987 | 1987-06-01 | 32 | 64cdbaaa9243a43ec59043b5a6105294 | Hombre | 2015-07-22 | 2015-11-05 | PG-PAB | Si | |
| 147,395 | 2,019 | JISA1**111978 | 1978-11-08 | 41 | 64de7be6e74b3bcf66b2a3f810bf574e | NA | Hombre | 2018-05-16 | 2019-02-14 | PG-PR | Si |
| 131,624 | 2,018 | JISA1**111979 | 1979-11-09 | 39 | 64de7be6e74b3bcf66b2a3f810bf574e | NA | Hombre | 2017-11-07 | 2018-05-15 | PG-PAI | Si |
| 71,243 | 2,015 | MARU2**101962 | 1962-10-07 | 57 | 65154efe6cf64b87bca337aecd4388a4 | Mujer | 2015-01-19 | 2015-10-13 | M-PAI | Si | |
| 35,317 | 2,013 | MARU2**121993 | 1993-12-07 | 25 | 65154efe6cf64b87bca337aecd4388a4 | Mujer | 2012-12-26 | 2013-10-03 | PG-PAI | Si | |
| 111,862 | 2,017 | MABU1**071982 | 1982-07-25 | 37 | 6555d0236edd3453e42921339925e809 | NA | Hombre | 2017-01-13 | 2017-01-24 | PG-PR | Si |
| 48,175 | 2,014 | MABU1**071983 | 1983-07-25 | 36 | 6555d0236edd3453e42921339925e809 | Hombre | 2013-01-03 | 2014-01-31 | PG-PAI | Si | |
| 130,805 | 2,018 | GRRE2**021978 | 1978-02-16 | 41 | 6565fa56eb6115eb38f6fa37ae61c04a | NA | Mujer | 2017-10-26 | 2018-03-01 | M-PAI | Si |
| 71,483 | 2,015 | GRRE2**021978 | 1978-02-16 | 41 | 6565fa56eb6115eb38f6fa37ae61c04a | Mujer | 2015-01-05 | 2015-01-29 | M-PR | Si | |
| 70,362 | 2,015 | GRRE2**021968 | 1968-02-16 | 51 | 6565fa56eb6115eb38f6fa37ae61c04a | Mujer | 2014-12-01 | 2015-01-29 | PG-PAB | Si | |
| 157,662 | 2,019 | JUMO1**101983 | 1983-10-28 | 36 | 656e632a8b2c6efca7915720bafdf94a | NA | Hombre | 2019-05-22 | 2019-09-02 | PG-PAI | Si |
| 88,144 | 2,016 | JUMO1**101993 | 1993-10-28 | 26 | 656e632a8b2c6efca7915720bafdf94a | Hombre | 2015-07-13 | 2016-06-13 | PG-PAI | Si | |
| 142,943 | 2,018 | YOME2**041986 | 1986-04-17 | 33 | 657ab439431d1cfb06e64e590ceddfb5 | NA | Mujer | 2018-10-03 | 2018-12-19 | PG-PAI | Si |
| 119,625 | 2,017 | YOME2**071999 | 1999-07-17 | 20 | 657ab439431d1cfb06e64e590ceddfb5 | NA | Mujer | 2017-07-24 | 2017-10-26 | M-PAI | Si |
| 73,752 | 2,015 | CRVA1**011972 | 1972-01-21 | 47 | 657addcf6decb77c802458436ee56c4e | Hombre | 2015-03-02 | 2015-10-02 | PG-PAB | Si | |
| 60,442 | 2,014 | CRVA1**051986 | 1986-05-20 | 33 | 657addcf6decb77c802458436ee56c4e | Hombre | 2014-07-01 | 2014-12-31 | PG-PR | Si | |
| 58,924 | 2,014 | CRVA1**011972 | 1972-01-21 | 47 | 657addcf6decb77c802458436ee56c4e | Hombre | 2014-06-26 | 2014-07-17 | PG-PAB | Si | |
| 133,905 | 2,018 | MIGA1**091966 | 1966-09-28 | 53 | 659dcb1937135f9adda55882bbc323fb | NA | Hombre | 2018-01-08 | 2018-05-01 | PG-PAI | Si |
| 95,122 | 2,016 | MIGA1**091965 | 1965-09-29 | 54 | 659dcb1937135f9adda55882bbc323fb | Hombre | 2016-03-23 | 2016-08-01 | PG-PAB | Si | |
| 94,632 | 2,016 | YOPL2**031981 | 1981-03-03 | 38 | 65f5ff4ff757cbe9399c81e3b835af95 | Mujer | 2016-03-09 | 2016-04-21 | M-PR | Si | |
| 92,093 | 2,016 | JOPL2**031983 | 1983-03-03 | 36 | 65f5ff4ff757cbe9399c81e3b835af95 | Mujer | 2016-01-07 | 2016-03-08 | M-PAI | Si | |
| 49,996 | 2,014 | SIMO2**061974 | 1974-06-02 | 45 | 66260badd8d309433fde85c24ffa10de | Mujer | 2013-07-12 | 2015-05-15 | PG-PAB | Si | |
| 37,803 | 2,013 | SIMO2**061964 | 1964-06-02 | 55 | 66260badd8d309433fde85c24ffa10de | Mujer | 2012-12-18 | 2013-03-19 | PG-PAB | No | |
| 29,726 | 2,012 | SIMO2**061974 | 1974-06-12 | 45 | 66260badd8d309433fde85c24ffa10de | Mujer | 2012-09-06 | 2012-10-04 | PG-PAI | No | |
| 13,624 | 2,011 | SIMO2**061974 | 1974-06-02 | 45 | 66260badd8d309433fde85c24ffa10de | Mujer | 2011-02-11 | 2011-06-15 | PG-PAB | Si | |
| 154,118 | 2,019 | FRCA1**091985 | 1985-09-15 | 34 | 6634876d1e6b8d719606c49baf4134e0 | NA | Hombre | 2019-02-11 | 2019-06-26 | PG-PR | Si |
| 123,535 | 2,017 | FRCA1**091985 | 1985-09-15 | 34 | 6634876d1e6b8d719606c49baf4134e0 | NA | Hombre | 2017-09-29 | 2017-11-13 | PG-PR | Si |
| 111,022 | 2,017 | FRCA1**121996 | 1996-12-02 | 22 | 6634876d1e6b8d719606c49baf4134e0 | NA | Hombre | 2016-12-02 | 2017-04-28 | PG-PR | Si |
| 86,304 | 2,016 | FRCA1**091985 | 1985-09-15 | 34 | 6634876d1e6b8d719606c49baf4134e0 | Hombre | 2015-01-02 | 2016-03-09 | PG-PAI | Si | |
| 115,197 | 2,017 | ROCO2**031966 | 1966-03-12 | 53 | 663aa62752ead527a632d4b6d48a7af3 | NA | Mujer | 2017-03-31 | 2017-08-31 | M-PAI | Si |
| 73,191 | 2,015 | ROCO2**121966 | 1966-12-08 | 52 | 663aa62752ead527a632d4b6d48a7af3 | Mujer | 2015-02-02 | 2015-10-01 | PG-PR | Si | |
| 50,918 | 2,014 | ROCO2**121966 | 1966-12-08 | 52 | 663aa62752ead527a632d4b6d48a7af3 | Mujer | 2013-09-01 | 2014-06-03 | PG-PR | Si | |
| 34,860 | 2,013 | ROCO2**121966 | 1966-12-08 | 52 | 663aa62752ead527a632d4b6d48a7af3 | Mujer | 2012-11-01 | 2013-05-01 | PG-PR | Si | |
| 28,962 | 2,012 | ROCO2**121966 | 1966-12-08 | 52 | 663aa62752ead527a632d4b6d48a7af3 | Mujer | 2012-07-10 | 2012-10-29 | M-PAI | Si | |
| 2,226 | 2,010 | ROCO2**121966 | 1966-12-08 | 52 | 663aa62752ead527a632d4b6d48a7af3 | Mujer | 2009-06-18 | 2010-04-06 | PG-PAI | Si | |
| 133,445 | 2,018 | JAMA1**021985 | 1985-02-14 | 34 | 66832c6892aaf19a0710907c9ae4f485 | NA | Hombre | 2018-02-02 | 2018-04-02 | PG-PAI | Si |
| 124,416 | 2,017 | JAMA1**021995 | 1995-02-14 | 24 | 66832c6892aaf19a0710907c9ae4f485 | NA | Hombre | 2017-11-03 | 2018-02-01 | PG-PAB | Si |
| 146,057 | 2,019 | GAAV1**061999 | 1999-06-24 | 20 | 668c94afa0abbae67a7daf92020e159c | NA | Hombre | 2017-08-03 | 2019-07-01 | PG-PAB | Si |
| 96,532 | 2,016 | GAAV1**061990 | 1990-06-24 | 29 | 668c94afa0abbae67a7daf92020e159c | Hombre | 2016-04-14 | 2016-07-29 | PG-PAB | Si | |
| 71,921 | 2,015 | GAAV1**061990 | 1990-06-24 | 29 | 668c94afa0abbae67a7daf92020e159c | Hombre | 2015-01-05 | 2015-04-17 | PG-PAB | Si | |
| 53,146 | 2,014 | GAAV1**061990 | 1990-06-24 | 29 | 668c94afa0abbae67a7daf92020e159c | Hombre | 2014-01-03 | 2014-03-25 | PG-PAB | Si | |
| 145,747 | 2,019 | ROFL1**011960 | 1960-01-10 | 59 | 66a87459ee05e5b6c72a734c0a4cdd1a | NA | Hombre | 2016-03-31 | 2019-01-29 | PG-PAI | Si |
| 12,793 | 2,011 | ROFL1**011960 | 1960-01-10 | 59 | 66a87459ee05e5b6c72a734c0a4cdd1a | Hombre | 2011-01-03 | 2011-05-30 | PG-PAB | Si | |
| 6,646 | 2,010 | ROFL1**011960 | 1960-01-10 | 59 | 66a87459ee05e5b6c72a734c0a4cdd1a | Hombre | 2010-07-19 | 2010-12-21 | PG-PAB | Si | |
| 3,198 | 2,010 | ROFL1**111960 | 1960-11-10 | 58 | 66a87459ee05e5b6c72a734c0a4cdd1a | Hombre | 2009-09-14 | 2010-06-07 | PG-PAB | Si | |
| 98,407 | 2,016 | ANUL2**031973 | 1973-03-05 | 46 | 6759376625adea41a1b8cae2acaf5456 | Mujer | 2016-06-22 | 2016-09-30 | M-PAI | Si | |
| 71,337 | 2,015 | ANUL2**041967 | 1967-04-17 | 52 | 6759376625adea41a1b8cae2acaf5456 | Mujer | 2014-12-04 | 2016-01-07 | M-PAI | Si | |
| 110,867 | 2,017 | ANBO1**111996 | 1996-11-21 | 22 | 67795ad778ecfc15e05917163199469e | NA | Hombre | 2016-11-22 | 2017-01-13 | PG-PAI | Si |
| 81,672 | 2,015 | ANBO1**061979 | 1979-06-29 | 40 | 67795ad778ecfc15e05917163199469e | Hombre | 2015-09-21 | 2015-12-17 | PG-PAI | Si | |
| 50,999 | 2,014 | ANBO1**061979 | 1979-06-29 | 40 | 67795ad778ecfc15e05917163199469e | Hombre | 2013-10-04 | 2014-06-09 | PG-PAI | Si | |
| 107,824 | 2,017 | PAVE2**031981 | 1981-03-05 | 38 | 67cf75e20c434987e50cf542daa266b0 | NA | Mujer | 2016-05-05 | 2017-04-28 | M-PR | Si |
| 95,989 | 2,016 | PAVE2**031981 | 1981-03-05 | 38 | 67cf75e20c434987e50cf542daa266b0 | Mujer | 2016-02-01 | 2016-05-04 | PG-PAI | No | |
| 92,857 | 2,016 | RUCH1**031987 | 1987-03-29 | 32 | 67cf75e20c434987e50cf542daa266b0 | Hombre | 2016-01-20 | 2016-06-17 | PG-PAI | Si | |
| 96,576 | 2,016 | ROAC1**031967 | 1967-03-13 | 52 | 67e10e24f8d31c941b35ad9dc6be7acd | Hombre | 2016-04-20 | 2016-09-02 | PG-PAI | Si | |
| 66,363 | 2,015 | ROAC1**031963 | 1963-03-13 | 56 | 67e10e24f8d31c941b35ad9dc6be7acd | Hombre | 2014-02-06 | 2015-03-30 | PG-PAI | Si | |
| 148,011 | 2,019 | JOMO1**111963 | 1963-11-09 | 56 | 67e395cfb7f7dd737c94b38970f6f35f | NA | Hombre | 2018-06-29 | 2019-03-01 | PG-PAB | Si |
| 29,923 | 2,012 | JOMO1**111963 | 1963-11-09 | 55 | 67e395cfb7f7dd737c94b38970f6f35f | Hombre | 2012-09-03 | 2012-11-20 | PG-PAB | Si | |
| 26,639 | 2,012 | VISA1**011956 | 1956-01-10 | 63 | 67e4f8edcf503748d6ef6a1f7b5fc8b9 | Hombre | 2012-05-08 | 2012-06-07 | PG-PR | Si | |
| 4,469 | 2,010 | VISA1**011954 | 1954-01-10 | 65 | 67e4f8edcf503748d6ef6a1f7b5fc8b9 | Hombre | 2010-03-10 | 2010-07-13 | PG-PAB | No | |
| 23,510 | 2,012 | MACO2**121992 | 1992-12-02 | 26 | 682d18c2ae3e2513fe83f204b72c90e5 | Mujer | 2011-12-20 | 2012-10-25 | PG-PAB | Si | |
| 16,686 | 2,011 | MACO2**121976 | 1976-12-02 | 42 | 682d18c2ae3e2513fe83f204b72c90e5 | Mujer | 2011-06-01 | 2011-12-07 | PG-PAB | Si | |
| 88,937 | 2,016 | RORI1**091983 | 1983-09-11 | 36 | 68757012556c73e190ea839f4cb80e65 | Hombre | 2015-08-17 | 2016-02-24 | PG-PR | Si | |
| 40,897 | 2,013 | BLLA1**041986 | 1986-04-21 | 33 | 68757012556c73e190ea839f4cb80e65 | Hombre | 2013-06-03 | 2013-11-18 | PG-PAI | Si | |
| 37,769 | 2,013 | RORI1**091983 | 1983-09-11 | 36 | 68757012556c73e190ea839f4cb80e65 | Hombre | 2013-03-12 | 2013-06-03 | PG-PAI | Si | |
| 87,330 | 2,016 | VIZU1**111989 | 1989-11-06 | 29 | 68e0f7383b74992fe8f828f109351ecb | Hombre | 2015-05-14 | 2016-03-14 | PG-PR | Si | |
| 26,651 | 2,012 | VIZU1**031989 | 1989-03-06 | 30 | 68e0f7383b74992fe8f828f109351ecb | Hombre | 2012-05-07 | 2012-11-13 | PG-PAI | Si | |
| 16,890 | 2,011 | VIZU1**031989 | 1989-03-06 | 30 | 68e0f7383b74992fe8f828f109351ecb | Hombre | 2011-05-26 | 2011-10-07 | PG-PAI | Si | |
| 43,716 | 2,013 | MAPE1**031986 | 1986-03-27 | 33 | 68fb26b75ebccbc698672c22149801fa | Hombre | 2013-08-22 | 2013-08-22 | PG-PAB | No | |
| 42,671 | 2,013 | MAPE1**031984 | 1984-03-27 | 35 | 68fb26b75ebccbc698672c22149801fa | Hombre | 2013-07-05 | 2013-09-26 | PG-PAI | Si | |
| 99,671 | 2,016 | PAVE1**101979 | 1979-10-16 | 40 | 6903619e6bddb121fd76c79877f1ccdd | Hombre | 2016-06-06 | 2016-11-21 | PG-PAB | Si | |
| 18,392 | 2,011 | PAVE1**101971 | 1971-10-16 | 48 | 6903619e6bddb121fd76c79877f1ccdd | Hombre | 2011-09-12 | 2012-01-23 | PG-PAI | Si | |
| 87,428 | 2,016 | ROPE1**061982 | 1982-06-11 | 37 | 692d4a37604742738e929351a36a2002 | Hombre | 2015-04-15 | 2016-07-01 | PG-PAB | Si | |
| 53,853 | 2,014 | ROPE1**061981 | 1981-06-17 | 38 | 692d4a37604742738e929351a36a2002 | Hombre | 2014-01-22 | 2014-10-28 | PG-PAB | Si | |
| 162,766 | 2,019 | CARI1**041990 | 1990-04-21 | 29 | 6944a4e9e916f3ee987ca73bcba81913 | NA | Hombre | 2019-10-10 | NA | PG-PAI | Si |
| 63,968 | 2,014 | CARI1**041989 | 1989-04-21 | 30 | 6944a4e9e916f3ee987ca73bcba81913 | Hombre | 2014-11-11 | 2014-12-19 | PG-PAB | Si | |
| 10,997 | 2,011 | ALMO1**021981 | 1981-02-18 | 38 | 698ef15123258366adc55141324f4272 | Hombre | 2010-08-23 | 2011-08-30 | PG-PR | Si | |
| 3,504 | 2,010 | ALMO1**021991 | 1991-02-18 | 28 | 698ef15123258366adc55141324f4272 | Hombre | 2010-02-15 | 2010-08-18 | PG-PAI | Si | |
| 149,560 | 2,019 | GOVA1**111991 | 1991-11-06 | 28 | 69d2c38406915820725a3edd3bee3878 | NA | Hombre | 2018-09-03 | 2019-08-31 | M-PAI | Si |
| 129,163 | 2,018 | GOVA1**111991 | 1991-11-06 | 27 | 69d2c38406915820725a3edd3bee3878 | NA | Hombre | 2017-08-24 | 2018-04-30 | M-PR | Si |
| 103,212 | 2,016 | PECE1**051996 | 1996-05-07 | 23 | 6a00d5207a311dc8fc68e6220ceb67c8 | Hombre | 2016-10-12 | 2016-11-07 | PG-PR | No | |
| 92,738 | 2,016 | PECE1**051966 | 1966-05-07 | 53 | 6a00d5207a311dc8fc68e6220ceb67c8 | Hombre | 2015-12-15 | 2016-08-04 | PG-PR | No | |
| 78,272 | 2,015 | ARHE1**051961 | 1961-05-27 | 58 | 6a14aa2767ec44b264dd898dd0d52ad5 | Hombre | 2015-06-11 | 2015-08-14 | PG-PAI | Si | |
| 36,074 | 2,013 | ARHE1**051962 | 1962-05-27 | 57 | 6a14aa2767ec44b264dd898dd0d52ad5 | Hombre | 2013-01-10 | 2013-02-28 | PG-PAI | Si | |
| 51,072 | 2,014 | FRPU1**081984 | 1984-08-11 | 35 | 6a5f454b669fbbc92c1ec5c0cccc374e | Hombre | 2013-10-17 | 2014-06-04 | PG-PR | Si | |
| 21,813 | 2,012 | FRPU1**081989 | 1989-08-11 | 30 | 6a5f454b669fbbc92c1ec5c0cccc374e | Hombre | 2011-07-25 | 2012-01-05 | PG-PR | Si | |
| 6,616 | 2,010 | FRPU1**081989 | 1989-08-11 | 30 | 6a5f454b669fbbc92c1ec5c0cccc374e | Hombre | 2010-06-22 | 2010-12-17 | PG-PAB | Si | |
| 119,668 | 2,017 | XINA2**111979 | 1979-11-27 | 39 | 6ac0479188ae0d56f517ff039921b92e | NA | Mujer | 2017-07-20 | 2017-11-15 | PG-PR | Si |
| 100,211 | 2,016 | XINA2**071979 | 1979-07-22 | 40 | 6ac0479188ae0d56f517ff039921b92e | Mujer | 2016-07-29 | 2016-09-28 | M-PAI | Si | |
| 71,962 | 2,015 | MACO2**021937 | 1937-02-17 | 82 | 6acbf444bde40eb4142d134a1af067c4 | Mujer | 2015-01-06 | 2015-08-07 | M-PAI | Si | |
| 49,677 | 2,014 | MACO2**021939 | 1939-02-14 | 80 | 6acbf444bde40eb4142d134a1af067c4 | Mujer | 2012-12-06 | 2014-07-23 | PG-PAB | No | |
| 157,543 | 2,019 | ROSA1**111981 | 1981-11-12 | 38 | 6ad2b9a93bfeb89797bd1a09c96f7339 | NA | Hombre | 2019-05-27 | 2019-06-03 | PG-PAI | Si |
| 148,782 | 2,019 | ROSA1**111981 | 1981-11-12 | 38 | 6ad2b9a93bfeb89797bd1a09c96f7339 | NA | Hombre | 2018-08-01 | 2019-04-10 | PG-PR | Si |
| 137,643 | 2,018 | ROSA1**111981 | 1981-11-12 | 37 | 6ad2b9a93bfeb89797bd1a09c96f7339 | NA | Hombre | 2018-05-14 | 2018-07-30 | PG-PAI | Si |
| 131,397 | 2,018 | ROSA1**111981 | 1981-11-12 | 37 | 6ad2b9a93bfeb89797bd1a09c96f7339 | NA | Hombre | 2017-11-22 | 2018-03-02 | PG-PR | Si |
| 118,975 | 2,017 | ROSA1**111981 | 1981-11-12 | 37 | 6ad2b9a93bfeb89797bd1a09c96f7339 | NA | Hombre | 2017-06-01 | 2017-11-21 | PG-PAI | Si |
| 70,020 | 2,015 | ROSA1**111981 | 1981-11-12 | 37 | 6ad2b9a93bfeb89797bd1a09c96f7339 | Hombre | 2014-11-04 | 2015-06-30 | PG-PAI | Si | |
| 34,647 | 2,013 | ROSA1**111981 | 1981-11-12 | 37 | 6ad2b9a93bfeb89797bd1a09c96f7339 | Hombre | 2012-11-13 | 2013-01-31 | PG-PAI | Si | |
| 109,115 | 2,017 | ANOR2**081992 | 1992-08-21 | 27 | 6b95f52d9bd3b327257fb2f6f8697f1a | NA | Mujer | 2016-09-07 | 2017-06-27 | PG-PAI | Si |
| 70,773 | 2,015 | ROEC2**081993 | 1993-08-21 | 26 | 6b95f52d9bd3b327257fb2f6f8697f1a | Mujer | 2014-12-02 | 2015-06-05 | PG-PAI | Si | |
| 152,022 | 2,019 | PASA1**101973 | 1973-10-14 | 46 | 6ba5f74c5219ae11f809dfbe4f2ac5da | NA | Hombre | 2018-12-06 | 2019-07-22 | PG-PAI | Si |
| 55,276 | 2,014 | PASA1**111973 | 1973-11-14 | 45 | 6ba5f74c5219ae11f809dfbe4f2ac5da | Hombre | 2014-03-15 | 2014-06-07 | PG-PAB | Si | |
| 80,152 | 2,015 | EMES1**091992 | 1992-09-06 | 27 | 6bb338c99a824b557ad72f8ac5811484 | Hombre | 2015-08-03 | 2015-09-25 | PG-PAI | Si | |
| 72,119 | 2,015 | EMES1**091999 | 1999-09-06 | 20 | 6bb338c99a824b557ad72f8ac5811484 | Hombre | 2015-01-05 | 2015-06-01 | PG-PAI | Si | |
| 148,097 | 2,019 | ROCA1**091977 | 1977-09-18 | 42 | 6c59712cecc09651d0246149b60e2225 | NA | Hombre | 2018-07-05 | 2019-09-02 | M-PR | Si |
| 130,669 | 2,018 | PADI2**091973 | 1973-09-18 | 46 | 6c59712cecc09651d0246149b60e2225 | NA | Mujer | 2017-10-23 | 2018-02-28 | PG-PAI | Si |
| 105,513 | 2,017 | ROCA2**091977 | 1977-09-18 | 42 | 6c59712cecc09651d0246149b60e2225 | NA | Mujer | 2015-02-20 | 2017-06-01 | M-PAI | Si |
| 145,071 | 2,018 | CECI1**081981 | 1981-08-14 | 38 | 6c929d1c762bc2161df8a3d68e8eaafc | NA | Hombre | 2018-11-13 | 2019-02-01 | PG-PAI | Si |
| 132,088 | 2,018 | CECI1**091971 | 1971-09-16 | 48 | 6c929d1c762bc2161df8a3d68e8eaafc | NA | Hombre | 2017-12-18 | 2018-05-01 | PG-PR | Si |
| 43,910 | 2,013 | CE-C1**091971 | 1971-09-16 | 48 | 6c929d1c762bc2161df8a3d68e8eaafc | Hombre | 2013-08-07 | 2013-12-18 | PG-PAI | Si | |
| 1,957 | 2,010 | CECI1**091971 | 1971-09-16 | 48 | 6c929d1c762bc2161df8a3d68e8eaafc | Hombre | 2010-01-01 | 2010-07-06 | PG-PAB | Si | |
| 155,883 | 2,019 | -JSA2**121979 | 1979-12-02 | 39 | 6cdb85e296b3d461b13cd3a6903c2942 | NA | Mujer | 2019-04-16 | 2019-06-10 | PG-PAB | Si |
| 113,972 | 2,017 | JESA2**121976 | 1976-12-02 | 42 | 6cdb85e296b3d461b13cd3a6903c2942 | NA | Mujer | 2017-02-28 | 2017-04-12 | PG-PAB | Si |
| 16,765 | 2,011 | JESA2**121976 | 1976-12-02 | 42 | 6cdb85e296b3d461b13cd3a6903c2942 | Mujer | 2011-06-08 | 2011-10-25 | PG-PAB | Si | |
| 113,323 | 2,017 | LIHU1**011979 | 1979-01-18 | 40 | 6ce4b7320ac6b4458730b8d5ce515ba9 | NA | Hombre | 2017-02-06 | 2017-05-01 | PG-PAB | Si |
| 59,765 | 2,014 | LIHU1**011980 | 1980-01-18 | 39 | 6ce4b7320ac6b4458730b8d5ce515ba9 | Hombre | 2014-07-07 | 2015-03-02 | PG-PAB | Si | |
| 125,659 | 2,017 | SOBE2**031956 | 1956-03-28 | 63 | 6cfc0e022e2fec32a17ab00d6d40de8e | NA | Mujer | 2017-12-05 | 2017-12-19 | M-PR | Si |
| 98,819 | 2,016 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2016-06-28 | 2016-11-02 | M-PR | Si | |
| 72,278 | 2,015 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2015-01-07 | 2015-11-09 | M-PR | Si | |
| 39,519 | 2,013 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2013-05-06 | 2013-09-15 | M-PR | Si | |
| 37,633 | 2,013 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2013-03-12 | 2013-04-30 | M-PAI | Si | |
| 25,541 | 2,012 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2012-03-28 | 2012-06-02 | M-PR | Si | |
| 18,453 | 2,011 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2011-09-21 | 2011-11-04 | M-PR | Si | |
| 1,489 | 2,010 | SOBE2**031959 | 1959-03-28 | 60 | 6cfc0e022e2fec32a17ab00d6d40de8e | Mujer | 2009-12-01 | 2010-03-31 | M-PAI | Si | |
| 48,587 | 2,014 | JACO1**031986 | 1986-03-20 | 33 | 6d01686d8a85699ced1c6222fbb7aa3e | Hombre | 2013-02-07 | 2014-08-18 | PG-PAB | Si | |
| 27,207 | 2,012 | JACO1**031983 | 1983-03-20 | 36 | 6d01686d8a85699ced1c6222fbb7aa3e | Hombre | 2012-05-22 | 2012-07-17 | PG-PAB | Si | |
| 113,753 | 2,017 | ANCA1**111984 | 1984-11-14 | 34 | 6db7cad5faf2cf90a08dfc9f4bfed5a4 | NA | Hombre | 2017-02-22 | 2017-05-31 | PG-PR | Si |
| 106,892 | 2,017 | ANCA1**101984 | 1984-10-14 | 35 | 6db7cad5faf2cf90a08dfc9f4bfed5a4 | NA | Hombre | 2016-04-14 | 2017-02-21 | PG-PAI | Si |
| 36,526 | 2,013 | MAME1**121967 | 1967-12-30 | 51 | 6e2edf7b0885502ede98e91a93522fcb | Hombre | 2013-01-29 | 2013-05-01 | PG-PAI | Si | |
| 29,700 | 2,012 | MAME1**121962 | 1962-12-30 | 56 | 6e2edf7b0885502ede98e91a93522fcb | Hombre | 2012-08-27 | 2012-11-06 | PG-PR | Si | |
| 135,736 | 2,018 | ARGA1**121992 | 1992-12-23 | 26 | 6e74f073e0110e252097582db8dfadf8 | NA | Hombre | 2018-03-07 | 2018-06-20 | PG-PR | No |
| 128,001 | 2,018 | ARGA1**081992 | 1992-08-23 | 27 | 6e74f073e0110e252097582db8dfadf8 | NA | Hombre | 2017-06-06 | 2018-03-06 | PG-PAB | Si |
| 127,221 | 2,018 | DERI2**041973 | 1973-04-15 | 46 | 6ec7a06da84c9be437e651be6d93d1b8 | NA | Mujer | 2017-04-06 | 2018-03-16 | M-PR | Si |
| 54,073 | 2,014 | DERI2**041974 | 1974-04-15 | 45 | 6ec7a06da84c9be437e651be6d93d1b8 | Mujer | 2014-01-28 | 2014-03-31 | M-PR | Si | |
| 85,249 | 2,015 | JUNE2**011978 | 1978-01-28 | 41 | 6efd3143c9a2f46f616aa67d828ddcb4 | Mujer | 2015-11-24 | 2015-12-14 | PG-PR | Si | |
| 73,987 | 2,015 | JUNE2**011970 | 1970-01-28 | 49 | 6efd3143c9a2f46f616aa67d828ddcb4 | Mujer | 2015-01-30 | 2015-12-01 | PG-PAB | Si | |
| 26,346 | 2,012 | CRCO1**041993 | 1993-04-09 | 26 | 6f563f48f84aaf49bf65e25a9c38b8ab | Hombre | 2012-04-09 | 2012-06-29 | PG-PAB | Si | |
| 24,610 | 2,012 | CRCO1**111989 | 1989-11-11 | 29 | 6f563f48f84aaf49bf65e25a9c38b8ab | Hombre | 2012-02-06 | 2012-04-02 | PG-PAI | Si | |
| 160,320 | 2,019 | JAGA1**111987 | 1987-11-09 | 32 | 6f5d71d4bb89ee90632a4763280f011a | NA | Hombre | 2019-08-14 | 2019-10-09 | PG-PR | Si |
| 56,457 | 2,014 | JAGA1**111987 | 1987-11-09 | 31 | 6f5d71d4bb89ee90632a4763280f011a | Hombre | 2014-04-10 | 2014-09-22 | PG-PAB | Si | |
| 32,785 | 2,013 | KARO2**041993 | 1993-04-20 | 26 | 6f8ba11077722af5de74f13124158426 | Mujer | 2012-04-20 | 2013-09-02 | PG-PAI | Si | |
| 12,464 | 2,011 | KARO2**111989 | 1989-11-03 | 30 | 6f8ba11077722af5de74f13124158426 | Mujer | 2010-12-10 | 2011-03-01 | M-PAI | Si | |
| 154,316 | 2,019 | NARA1**041974 | 1974-04-15 | 45 | 6f8c3e84a251159fb8be1b73b374b8af | NA | Hombre | 2019-03-08 | NA | PG-PR | Si |
| 153,510 | 2,019 | NARA1**041974 | 1974-04-15 | 45 | 6f8c3e84a251159fb8be1b73b374b8af | NA | Hombre | 2019-02-13 | 2019-03-07 | PG-PAI | Si |
| 73,597 | 2,015 | NARO1**041974 | 1974-04-15 | 45 | 6f8c3e84a251159fb8be1b73b374b8af | Hombre | 2015-03-04 | 2015-04-23 | PG-PAB | Si | |
| 33,226 | 2,013 | NARA1**031974 | 1974-03-15 | 45 | 6f8c3e84a251159fb8be1b73b374b8af | Hombre | 2012-06-27 | 2013-05-27 | PG-PR | Si | |
| 11,806 | 2,011 | NARO2**101991 | 1991-10-04 | 28 | 6f8c3e84a251159fb8be1b73b374b8af | Mujer | 2010-10-01 | 2011-02-01 | PG-PAI | Si | |
| 100,080 | 2,016 | PAAL2**071996 | 1996-07-01 | 23 | 6faa630f15e4bb127d6100e2863bf898 | Mujer | 2016-07-15 | 2016-08-12 | M-PR | Si | |
| 74,474 | 2,015 | PAAL2**101971 | 1971-10-21 | 48 | 6faa630f15e4bb127d6100e2863bf898 | Mujer | 2015-03-26 | 2015-06-22 | M-PR | Si | |
| 47,952 | 2,014 | PAAL2**101971 | 1971-10-21 | 48 | 6faa630f15e4bb127d6100e2863bf898 | Mujer | 2012-08-08 | 2014-05-05 | PG-PAI | Si | |
| 13,862 | 2,011 | PAAL2**101971 | 1971-10-21 | 48 | 6faa630f15e4bb127d6100e2863bf898 | Mujer | 2011-02-15 | 2011-11-15 | M-PR | Si | |
| 95,117 | 2,016 | EVGO2**041981 | 1981-04-05 | 38 | 6fb3781a1e5d7f08aa8aaf50aef0e4de | Mujer | 2016-03-16 | 2016-06-20 | PG-PAI | Si | |
| 89,644 | 2,016 | EVGO2**061984 | 1984-06-05 | 35 | 6fb3781a1e5d7f08aa8aaf50aef0e4de | Mujer | 2015-09-29 | 2016-03-15 | M-PR | Si | |
| 80,023 | 2,015 | EVGO2**051981 | 1981-05-05 | 38 | 6fb3781a1e5d7f08aa8aaf50aef0e4de | Mujer | 2015-06-18 | 2015-09-29 | PG-PAI | Si | |
| 50,362 | 2,014 | EVGO2**041984 | 1984-04-05 | 35 | 6fb3781a1e5d7f08aa8aaf50aef0e4de | Mujer | 2013-08-01 | 2014-06-30 | PG-PAB | Si | |
| 41,968 | 2,013 | EVGO2**041984 | 1984-04-05 | 35 | 6fb3781a1e5d7f08aa8aaf50aef0e4de | Mujer | 2013-07-18 | 2013-07-31 | M-PR | Si | |
| 148,442 | 2,019 | JACA1**051989 | 1989-05-22 | 30 | 70230f35293e683cb7f13af6ab0ef492 | NA | Hombre | 2018-04-30 | 2019-04-17 | PG-PAB | Si |
| 23,241 | 2,012 | CAMA1**121992 | 1992-12-07 | 26 | 70230f35293e683cb7f13af6ab0ef492 | Hombre | 2011-12-07 | 2012-08-03 | PG-PR | Si | |
| 71,659 | 2,015 | ALUL1**011966 | 1966-01-19 | 53 | 702cbc2d241a8d04c0657f7bf97e41a9 | Hombre | 2014-11-14 | 2015-06-30 | PG-PAI | Si | |
| 143 | 2,010 | ALUL1**111966 | 1966-11-19 | 52 | 702cbc2d241a8d04c0657f7bf97e41a9 | Hombre | 2009-06-22 | 2010-03-01 | PG-PR | Si | |
| 81,681 | 2,015 | MAOC1**061961 | 1961-06-16 | 58 | 704e7185f38d3d8da86f0cbc3c88080d | Hombre | 2015-09-02 | 2015-12-30 | PG-PAB | Si | |
| 50,390 | 2,014 | MAOC1**061981 | 1981-06-16 | 38 | 704e7185f38d3d8da86f0cbc3c88080d | Hombre | 2013-08-08 | 2014-08-31 | PG-PAB | Si | |
| 159,449 | 2,019 | JHDI1**111981 | 1981-11-09 | 38 | 7077d9fba29800d0127e0fce3fa43e72 | NA | Hombre | 2019-07-05 | NA | PG-PAB | Si |
| 133,854 | 2,018 | JHDI1**111981 | 1981-11-09 | 37 | 7077d9fba29800d0127e0fce3fa43e72 | NA | Hombre | 2018-02-06 | 2018-08-01 | PG-PAB | Si |
| 114,588 | 2,017 | JHDI1**111981 | 1981-11-09 | 37 | 7077d9fba29800d0127e0fce3fa43e72 | NA | Hombre | 2017-03-10 | 2017-09-25 | PG-PAB | Si |
| 154,221 | 2,019 | VAFA2**091983 | 1983-09-21 | 36 | 70d247b465c92870e9babb9962e3c246 | NA | Mujer | 2019-01-31 | 2019-04-25 | PG-PAI | Si |
| 128,847 | 2,018 | VAFA2**091993 | 1993-09-21 | 26 | 70d247b465c92870e9babb9962e3c246 | NA | Mujer | 2017-08-21 | 2018-02-01 | PG-PAB | Si |
| 55,745 | 2,014 | JUGA1**061973 | 1973-06-25 | 46 | 70e4a30ea1ad0d2acdb7275852f7e258 | Hombre | 2014-03-24 | 2014-06-04 | PG-PAB | Si | |
| 40,129 | 2,013 | JUGA1**061972 | 1972-06-25 | 47 | 70e4a30ea1ad0d2acdb7275852f7e258 | Hombre | 2013-05-28 | 2013-07-09 | PG-PR | No | |
| 19,094 | 2,011 | JUGA1**061972 | 1972-06-25 | 47 | 70e4a30ea1ad0d2acdb7275852f7e258 | Hombre | 2011-10-13 | 2011-11-03 | PG-PR | Si | |
| 67,463 | 2,015 | CIBE2**091972 | 1972-09-30 | 47 | 70f08e62975d02470d0bc625c83428b3 | Mujer | 2014-06-23 | 2015-03-30 | M-PAI | Si | |
| 54,810 | 2,014 | CIBE2**091971 | 1971-09-30 | 48 | 70f08e62975d02470d0bc625c83428b3 | Mujer | 2014-02-11 | 2014-06-10 | M-PR | Si | |
| 10,351 | 2,011 | CIBE2**091971 | 1971-09-30 | 48 | 70f08e62975d02470d0bc625c83428b3 | Mujer | 2010-03-22 | 2011-07-23 | PG-PAI | Si | |
| 88,626 | 2,016 | JOJI1**041978 | 1978-04-29 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2015-08-04 | 2016-04-01 | PG-PR | Si | |
| 41,696 | 2,013 | JOJI1**041978 | 1978-04-29 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2013-06-20 | 2013-10-07 | PG-PAI | No | |
| 39,524 | 2,013 | JOJI1**041978 | 1978-04-29 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2013-04-22 | 2013-06-17 | PG-PR | Si | |
| 37,922 | 2,013 | JOJI1**041978 | 1978-04-29 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2013-02-25 | 2013-05-01 | PG-PAI | No | |
| 35,516 | 2,013 | JOJI1**041978 | 1978-04-29 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2013-01-14 | 2013-04-29 | PG-PAB | Si | |
| 12,082 | 2,011 | JOJI1**041979 | 1979-04-29 | 40 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2010-11-12 | 2011-02-21 | PG-PAI | Si | |
| 1,307 | 2,010 | JOJI1**041978 | 1978-04-02 | 41 | 7123798a26b6e129845ada1f698ebbb5 | Hombre | 2009-11-12 | 2010-02-25 | PG-PAB | Si | |
| 4,411 | 2,010 | ROCE2**071978 | 1978-07-15 | 41 | 71b7c29d53f541b0639e042ec9a8f0b2 | Mujer | 2010-03-18 | 2010-10-31 | PG-PAI | Si | |
| 9,334 | 2,010 | ROCE2**071975 | 1975-07-15 | 44 | 71b7c29d53f541b0639e042ec9a8f0b2 | Mujer | 2010-03-17 | 2011-06-02 | PG-PAB | Si | |
| 68,476 | 2,015 | CHVA1**031995 | 1995-03-28 | 24 | 71c7fab4802898db5a3ab07b53cab756 | Hombre | 2014-08-25 | 2015-02-02 | PG-PAI | Si | |
| 54,903 | 2,014 | CRVA1**031985 | 1985-03-28 | 34 | 71c7fab4802898db5a3ab07b53cab756 | Hombre | 2014-02-04 | 2014-08-29 | PG-PAB | Si | |
| 49,878 | 2,014 | MAFU2**031969 | 1969-03-15 | 50 | 720399b6a401897bfba793d7a05e32d6 | Mujer | 2013-07-22 | 2014-03-10 | M-PR | Si | |
| 41,947 | 2,013 | MAFU2**031968 | 1968-03-15 | 51 | 720399b6a401897bfba793d7a05e32d6 | Mujer | 2013-07-04 | 2013-07-18 | M-PAI | Si | |
| 29,874 | 2,012 | MAFU2**031968 | 1968-03-15 | 51 | 720399b6a401897bfba793d7a05e32d6 | Mujer | 2012-09-20 | 2012-12-28 | M-PAI | Si | |
| 29,259 | 2,012 | MAFU2**031968 | 1968-03-15 | 51 | 720399b6a401897bfba793d7a05e32d6 | Mujer | 2012-08-21 | 2012-09-13 | M-PR | Si | |
| 31,583 | 2,012 | ELAV1**121988 | 1988-12-13 | 30 | 72881c0695dacc19edf34fa87573b3d8 | Hombre | 2012-11-08 | 2012-11-29 | M-PR | Si | |
| 26,908 | 2,012 | ELAV2**121981 | 1981-12-13 | 37 | 72881c0695dacc19edf34fa87573b3d8 | Mujer | 2012-05-17 | 2012-06-20 | M-PR | Si | |
| 140,830 | 2,018 | LULE1**021986 | 1986-02-20 | 33 | 728a335875d7d499777af77e7867fd58 | NA | Hombre | 2018-08-01 | 2018-11-26 | PG-PAI | Si |
| 106,807 | 2,017 | LULE1**021985 | 1985-02-20 | 34 | 728a335875d7d499777af77e7867fd58 | NA | Hombre | 2016-03-31 | 2017-05-23 | PG-PAI | Si |
| 159,798 | 2,019 | CACA1**111989 | 1989-11-10 | 30 | 72a5ba730f6d54f7fa4823f5058579de | NA | Hombre | 2019-07-23 | NA | PG-PAB | No |
| 113,498 | 2,017 | CACA1**111989 | 1989-11-10 | 29 | 72a5ba730f6d54f7fa4823f5058579de | NA | Hombre | 2017-02-01 | 2017-12-04 | PG-PAI | Si |
| 102,448 | 2,016 | JORE1**061986 | 1986-06-07 | 33 | 72ed4f8fb3d34d869b9b5341f4f289f0 | Hombre | 2016-09-23 | 2016-09-29 | PG-PR | Si | |
| 18,196 | 2,011 | JORE1**061986 | 1986-06-07 | 33 | 72ed4f8fb3d34d869b9b5341f4f289f0 | Hombre | 2011-08-08 | 2011-12-26 | PG-PAI | Si | |
| 16,709 | 2,011 | JORE1**061989 | 1989-06-07 | 30 | 72ed4f8fb3d34d869b9b5341f4f289f0 | Hombre | 2011-06-15 | 2011-08-31 | PG-PAB | Si | |
| 81,393 | 2,015 | VAST2**051984 | 1984-05-08 | 35 | 730da61df15d10ba88760647a2781887 | Mujer | 2015-09-11 | 2015-11-02 | PG-PAI | Si | |
| 75,568 | 2,015 | VEST2**051984 | 1984-05-08 | 35 | 730da61df15d10ba88760647a2781887 | Mujer | 2015-04-13 | 2015-05-31 | M-PR | Si | |
| 57,517 | 2,014 | VAST2**051984 | 1984-05-08 | 35 | 730da61df15d10ba88760647a2781887 | Mujer | 2014-05-16 | 2014-06-30 | PG-PAI | Si | |
| 45,853 | 2,013 | -VST2**041979 | 1979-04-28 | 40 | 730da61df15d10ba88760647a2781887 | Mujer | 2013-10-30 | 2014-01-31 | M-PAI | Si | |
| 132,052 | 2,018 | MARI1**031979 | 1979-03-15 | 40 | 73196f7294bca07762177caf808edeb3 | NA | Hombre | 2017-12-14 | 2018-12-03 | PG-PAB | Si |
| 111,007 | 2,017 | MARI1**121979 | 1979-12-25 | 39 | 73196f7294bca07762177caf808edeb3 | NA | Hombre | 2016-12-12 | 2017-06-06 | PG-PAB | Si |
| 158,086 | 2,019 | MAGO1**111977 | 1977-11-29 | 41 | 735c0910edd411d98f9ae9757208f3f1 | NA | Hombre | 2019-06-14 | 2019-08-26 | PG-PAI | Si |
| 99,469 | 2,016 | MAGO1**111977 | 1977-11-29 | 41 | 735c0910edd411d98f9ae9757208f3f1 | Hombre | 2016-07-04 | 2016-08-18 | PG-PAI | Si | |
| 76,259 | 2,015 | MAGO1**111975 | 1975-11-29 | 43 | 735c0910edd411d98f9ae9757208f3f1 | Hombre | 2015-05-14 | 2015-11-24 | PG-PAI | Si | |
| 91,686 | 2,016 | MASE2**011994 | 1994-01-09 | 25 | 738724a225b311034608fe7598069e7a | Mujer | 2015-12-07 | 2016-04-04 | M-PR | Si | |
| 34,531 | 2,013 | MASE2**011992 | 1992-01-09 | 27 | 738724a225b311034608fe7598069e7a | Mujer | 2012-11-09 | 2013-04-29 | M-PR | Si | |
| 157,764 | 2,019 | MARI2**111978 | 1978-11-01 | 41 | 738ac24e37e4e15fb08d18b5b026fb09 | NA | Mujer | 2019-04-16 | NA | PG-PAI | Si |
| 141,693 | 2,018 | MARI1**111978 | 1978-11-30 | 40 | 738ac24e37e4e15fb08d18b5b026fb09 | NA | Hombre | 2018-08-06 | 2018-12-04 | PG-PAB | Si |
| 117,298 | 2,017 | LURI1**101991 | 1991-10-19 | 28 | 73a5e240f2728db65ea9a61f67397809 | NA | Hombre | 2017-05-15 | 2017-08-04 | PG-PAI | Si |
| 90,457 | 2,016 | LURI1**051979 | 1979-05-01 | 40 | 73a5e240f2728db65ea9a61f67397809 | Hombre | 2015-10-09 | 2016-04-08 | PG-PAI | Si | |
| 121,148 | 2,017 | JOVA2**081999 | 1999-08-02 | 20 | 73ce9cf1568b03697c6d59e1a7c4ddaa | NA | Mujer | 2017-08-17 | 2017-09-26 | M-PAI | Si |
| 105,429 | 2,017 | YOVA2**081986 | 1986-08-02 | 33 | 73ce9cf1568b03697c6d59e1a7c4ddaa | NA | Mujer | 2014-07-08 | 2017-06-01 | PG-PAI | Si |
| 35,859 | 2,013 | YOVA2**081986 | 1986-08-02 | 33 | 73ce9cf1568b03697c6d59e1a7c4ddaa | Mujer | 2013-01-01 | 2014-01-02 | PG-PAI | Si | |
| 20,737 | 2,012 | JOVA2**081986 | 1986-08-02 | 33 | 73ce9cf1568b03697c6d59e1a7c4ddaa | Mujer | 2010-05-28 | 2012-04-27 | M-PAI | Si | |
| 180 | 2,010 | JOVA2**081986 | 1986-08-02 | 33 | 73ce9cf1568b03697c6d59e1a7c4ddaa | Mujer | 2008-08-10 | 2010-04-30 | M-PAI | Si | |
| 158,053 | 2,019 | EDCO1**111983 | 1983-11-09 | 36 | 7453c21c9cea9a08d8d56580727fc184 | NA | Hombre | 2019-06-04 | 2019-10-01 | PG-PAB | Si |
| 42,197 | 2,013 | EDCO1**111983 | 1983-11-09 | 35 | 7453c21c9cea9a08d8d56580727fc184 | Hombre | 2013-07-19 | 2013-11-11 | PG-PAB | Si | |
| 154,551 | 2,019 | RIJA1**041969 | 1969-04-22 | 50 | 748737b54b842c01b34299a9a65d8897 | NA | Hombre | 2019-03-01 | NA | PG-PAI | Si |
| 136,409 | 2,018 | RIJA1**041969 | 1969-04-22 | 50 | 748737b54b842c01b34299a9a65d8897 | NA | Hombre | 2018-04-02 | 2019-01-31 | PG-PAI | Si |
| 51,805 | 2,014 | RIJA1**041970 | 1970-04-22 | 49 | 748737b54b842c01b34299a9a65d8897 | Hombre | 2013-10-28 | 2014-03-31 | PG-PAI | Si | |
| 77,528 | 2,015 | TADE2**051990 | 1990-05-28 | 29 | 7498942be79edf4d86e179409dabdeb7 | Mujer | 2015-06-08 | 2015-08-31 | PG-PAI | Si | |
| 76,235 | 2,015 | TADE2**111990 | 1990-11-28 | 28 | 7498942be79edf4d86e179409dabdeb7 | Mujer | 2015-05-08 | 2015-05-31 | M-PR | Si | |
| 92,377 | 2,016 | RODI1**101987 | 1987-10-11 | 32 | 74cbaafccee38535898bb51fc7fd112b | Hombre | 2016-01-22 | 2016-07-04 | PG-PAI | Si | |
| 79,975 | 2,015 | RODI1**101988 | 1988-10-11 | 31 | 74cbaafccee38535898bb51fc7fd112b | Hombre | 2015-07-08 | 2016-01-18 | PG-PAB | Si | |
| 77,028 | 2,015 | CEMO1**101972 | 1972-10-29 | 47 | 74fc355b25935179803549fd5adceb72 | Hombre | 2015-05-04 | 2015-07-01 | PG-PAI | Si | |
| 698 | 2,010 | CEMO1**101974 | 1974-10-29 | 45 | 74fc355b25935179803549fd5adceb72 | Hombre | 2010-01-13 | 2010-11-30 | PG-PAB | Si | |
| 160,669 | 2,019 | JOVA1**111974 | 1974-11-06 | 45 | 752cadba409e4e17f40b68928ebd20d6 | NA | Hombre | 2019-08-07 | NA | PG-PAB | Si |
| 99,634 | 2,016 | JOVA1**111974 | 1974-11-06 | 44 | 752cadba409e4e17f40b68928ebd20d6 | Hombre | 2016-07-04 | 2016-08-16 | PG-PAB | Si | |
| 90,010 | 2,016 | CADI1**111982 | 1982-11-04 | 37 | 75362c80ff4642594ab4f8f6442947f1 | Hombre | 2015-10-13 | 2016-01-29 | PG-PR | Si | |
| 82,145 | 2,015 | CADI1**111981 | 1981-11-04 | 38 | 75362c80ff4642594ab4f8f6442947f1 | Hombre | 2015-09-08 | 2015-10-09 | PG-PAI | Si | |
| 1,529 | 2,010 | CADI1**111982 | 1982-11-04 | 37 | 75362c80ff4642594ab4f8f6442947f1 | Hombre | 2009-10-26 | 2010-04-29 | PG-PAB | Si | |
| 153,187 | 2,019 | FASI1**101981 | 1981-10-05 | 38 | 75b493039df2e22a432d2018da684a25 | NA | Hombre | 2019-01-22 | NA | PG-PR | Si |
| 148,138 | 2,019 | FASI1**101981 | 1981-10-05 | 38 | 75b493039df2e22a432d2018da684a25 | NA | Hombre | 2018-07-03 | 2019-01-21 | PG-PAI | Si |
| 112,713 | 2,017 | FASI1**121982 | 1982-12-05 | 36 | 75b493039df2e22a432d2018da684a25 | NA | Hombre | 2017-02-03 | 2017-10-27 | PG-PAB | Si |
| 94,191 | 2,016 | FASI1**111981 | 1981-11-05 | 38 | 75b493039df2e22a432d2018da684a25 | Hombre | 2016-01-04 | 2016-11-24 | PG-PAB | Si | |
| 59,003 | 2,014 | FASI1**101981 | 1981-10-05 | 38 | 75b493039df2e22a432d2018da684a25 | Hombre | 2014-05-13 | 2015-01-29 | PG-PAB | Si | |
| 45,246 | 2,013 | GEMA2**091975 | 1975-09-07 | 44 | 75fddfa96c61291b3ce579e108259f99 | Mujer | 2013-10-15 | 2013-10-24 | M-PR | Si | |
| 38,066 | 2,013 | GEMA2**091972 | 1972-09-07 | 47 | 75fddfa96c61291b3ce579e108259f99 | Mujer | 2013-02-07 | 2013-06-03 | PG-PAI | Si | |
| 15,546 | 2,011 | DAMO1**101974 | 1974-10-06 | 45 | 7622a4f7234ec787929119546d4d3d62 | Hombre | 2011-03-09 | 2011-10-03 | PG-PAI | Si | |
| 5,240 | 2,010 | DAMO1**111974 | 1974-11-06 | 44 | 7622a4f7234ec787929119546d4d3d62 | Hombre | 2010-05-26 | 2010-07-09 | PG-PAI | Si | |
| 107,131 | 2,017 | FR-B1**111979 | 1979-11-20 | 39 | 76e02b957001c4782084e263fb2a7536 | NA | Hombre | 2016-05-03 | 2017-10-01 | PG-PAI | Si |
| 93,611 | 2,016 | FRBR1**111979 | 1979-11-20 | 39 | 76e02b957001c4782084e263fb2a7536 | Hombre | 2016-02-16 | 2016-05-02 | PG-PR | Si | |
| 91,257 | 2,016 | FRBR1**111979 | 1979-11-11 | 39 | 76e02b957001c4782084e263fb2a7536 | Hombre | 2015-11-27 | 2016-02-15 | PG-PAI | Si | |
| 20,079 | 2,011 | FRBR1**111980 | 1980-11-20 | 38 | 76e02b957001c4782084e263fb2a7536 | Hombre | 2011-11-16 | 2011-11-22 | PG-PR | Si | |
| 141,506 | 2,018 | LUNU1**021984 | 1984-02-25 | 35 | 77283fea574a7ce104c00d83ed10995b | NA | Hombre | 2018-08-10 | 2018-10-31 | PG-PAB | Si |
| 92,140 | 2,016 | LUNU1**021984 | 1984-02-25 | 35 | 77283fea574a7ce104c00d83ed10995b | Hombre | 2016-01-06 | 2016-04-11 | PG-PAI | Si | |
| 42,786 | 2,013 | LUNU1**081994 | 1994-08-01 | 25 | 77283fea574a7ce104c00d83ed10995b | Hombre | 2013-08-01 | 2014-01-13 | PG-PAB | Si | |
| 90,557 | 2,016 | JUMU1**061982 | 1982-06-24 | 37 | 7766a499af4bcfdb421b4d6f71b9e4b0 | Hombre | 2015-11-03 | 2016-06-13 | PG-PAB | Si | |
| 77,972 | 2,015 | JUMU1**061982 | 1982-06-24 | 37 | 7766a499af4bcfdb421b4d6f71b9e4b0 | Hombre | 2015-06-19 | 2015-07-02 | PG-PR | Si | |
| 73,087 | 2,015 | JUMU1**061981 | 1981-06-24 | 38 | 7766a499af4bcfdb421b4d6f71b9e4b0 | Hombre | 2015-02-03 | 2015-06-17 | PG-PAB | Si | |
| 155,696 | 2,019 | CAMA2**041975 | 1975-04-17 | 44 | 77aae0548377430cad987dc039a63840 | NA | Mujer | 2019-04-16 | 2019-07-24 | M-PR | Si |
| 92,886 | 2,016 | CAMA2**041975 | 1975-04-17 | 44 | 77aae0548377430cad987dc039a63840 | Mujer | 2015-12-03 | 2016-11-10 | M-PAI | Si | |
| 54,412 | 2,014 | CAMA2**041974 | 1974-04-17 | 45 | 77aae0548377430cad987dc039a63840 | Mujer | 2014-02-05 | 2014-02-21 | M-PR | Si | |
| 28,679 | 2,012 | CAMA2**041975 | 1975-04-17 | 44 | 77aae0548377430cad987dc039a63840 | Mujer | 2012-07-09 | 2012-07-09 | Otro | No | |
| 93,987 | 2,016 | PACA1**091985 | 1985-09-27 | 34 | 77acc833ce78792ea63e3ebab6709451 | Hombre | 2016-02-16 | 2016-04-27 | PG-PAI | Si | |
| 46,745 | 2,013 | PACA1**111985 | 1985-11-27 | 33 | 77acc833ce78792ea63e3ebab6709451 | Hombre | 2013-11-07 | 2013-12-17 | PG-PAI | Si | |
| 153,811 | 2,019 | EDSO1**111993 | 1993-11-01 | 26 | 77e6a94c7eee342bb5d1a9fcca34014d | NA | Hombre | 2019-02-27 | 2019-08-21 | PG-PAB | Si |
| 139,542 | 2,018 | ERSO1**111993 | 1993-11-11 | 25 | 77e6a94c7eee342bb5d1a9fcca34014d | NA | Hombre | 2018-06-19 | 2018-11-20 | PG-PAB | Si |
| 147,054 | 2,019 | JOAR1**031986 | 1986-03-04 | 33 | 787709d3fd353f8fd571a75c8f0f0a33 | NA | Hombre | 2018-03-28 | 2019-04-01 | PG-PAI | No |
| 129,601 | 2,018 | JOAR1**031999 | 1999-03-04 | 20 | 787709d3fd353f8fd571a75c8f0f0a33 | NA | Hombre | 2017-09-05 | 2018-05-02 | PG-PAB | Si |
| 86,977 | 2,016 | JOAR1**031986 | 1986-03-04 | 33 | 787709d3fd353f8fd571a75c8f0f0a33 | Hombre | 2015-04-07 | 2016-02-01 | PG-PAB | Si | |
| 49,876 | 2,014 | JOAR1**031986 | 1986-03-04 | 33 | 787709d3fd353f8fd571a75c8f0f0a33 | Hombre | 2013-07-29 | 2014-09-22 | PG-PAB | Si | |
| 146,460 | 2,019 | JUES1**111989 | 1989-11-06 | 30 | 78bf259becd84486a56c254fbf877a6d | NA | Hombre | 2018-01-15 | 2019-01-13 | PG-PR | Si |
| 110,938 | 2,017 | JUES1**111989 | 1989-11-08 | 29 | 78bf259becd84486a56c254fbf877a6d | NA | Hombre | 2016-10-24 | 2017-05-10 | PG-PAI | Si |
| 99,412 | 2,016 | JUES1**111989 | 1989-11-06 | 29 | 78bf259becd84486a56c254fbf877a6d | Hombre | 2016-06-29 | 2016-09-22 | PG-PAB | Si | |
| 149,099 | 2,019 | JODI1**061967 | 1967-06-15 | 52 | 78d38feadddd8492175dc81ca5622ade | NA | Hombre | 2018-06-26 | 2019-01-31 | PG-PAB | Si |
| 94,587 | 2,016 | JODI1**061967 | 1967-06-15 | 52 | 78d38feadddd8492175dc81ca5622ade | Hombre | 2016-03-07 | 2016-06-22 | PG-PAB | Si | |
| 10,325 | 2,011 | JODI1**061965 | 1965-06-15 | 54 | 78d38feadddd8492175dc81ca5622ade | Hombre | 2010-04-14 | 2014-01-02 | PG-PAB | Si | |
| 54,773 | 2,014 | WIIN1**121988 | 1988-12-05 | 30 | 78dfa32acce0be73530b79d16f8b94b3 | Hombre | 2014-02-25 | 2014-06-09 | PG-PR | Si | |
| 34,475 | 2,013 | WIIN1**121981 | 1981-12-05 | 37 | 78dfa32acce0be73530b79d16f8b94b3 | Hombre | 2012-10-02 | 2013-05-31 | PG-PAB | Si | |
| 32,653 | 2,013 | JOME1**021970 | 1970-02-12 | 49 | 78e326a2fa8ddf7653194abb3aa85ac2 | Hombre | 2012-03-22 | 2013-07-01 | PG-PAI | Si | |
| 6,075 | 2,010 | JOME1**021991 | 1991-02-12 | 28 | 78e326a2fa8ddf7653194abb3aa85ac2 | Hombre | 2010-06-05 | 2010-12-13 | PG-PAI | Si | |
| 99,135 | 2,016 | DERI2**101988 | 1988-10-12 | 31 | 78e53ee1b4f9b39433945dd5959af9ee | Mujer | 2016-07-04 | 2016-11-23 | M-PAI | Si | |
| 14,938 | 2,011 | DERI2**121988 | 1988-12-10 | 30 | 78e53ee1b4f9b39433945dd5959af9ee | Mujer | 2011-03-01 | 2011-07-30 | PG-PAI | Si | |
| 33,289 | 2,013 | JAMA1**091992 | 1992-09-10 | 27 | 78f29f55bcfb4a680f8bceb90e613ce3 | Hombre | 2012-07-10 | 2013-06-03 | PG-PR | Si | |
| 15,320 | 2,011 | JAMA1**091986 | 1986-09-10 | 33 | 78f29f55bcfb4a680f8bceb90e613ce3 | Hombre | 2011-04-19 | 2011-12-20 | PG-PAB | Si | |
| 120,792 | 2,017 | INLA2**101994 | 1994-10-05 | 25 | 7912349ec9628c9519fb0afd2d12f52a | NA | Mujer | 2017-08-23 | 2017-10-05 | M-PR | Si |
| 116,155 | 2,017 | INLA2**101984 | 1984-10-05 | 35 | 7912349ec9628c9519fb0afd2d12f52a | NA | Mujer | 2017-04-17 | 2017-08-22 | PG-PAI | Si |
| 98,309 | 2,016 | INLA1**101994 | 1994-10-05 | 25 | 7912349ec9628c9519fb0afd2d12f52a | Hombre | 2016-06-07 | 2016-09-15 | PG-PAI | Si | |
| 148,427 | 2,019 | PACA1**061969 | 1969-06-30 | 50 | 794e9dbc46eabdf8679a7603d2bf84e8 | NA | Hombre | 2018-07-13 | NA | PG-PAI | Si |
| 66,869 | 2,015 | PACA1**061970 | 1970-06-30 | 49 | 794e9dbc46eabdf8679a7603d2bf84e8 | Hombre | 2014-04-03 | 2015-11-13 | PG-PAI | Si | |
| 70,208 | 2,015 | HEZE1**111985 | 1985-11-15 | 33 | 7985f3de998eb4f38c5459ca6e470ce2 | Hombre | 2014-11-10 | 2015-05-29 | PG-PR | Si | |
| 18,135 | 2,011 | HECE1**111986 | 1986-11-15 | 32 | 7985f3de998eb4f38c5459ca6e470ce2 | Hombre | 2011-08-26 | 2011-09-29 | PG-PAB | Si | |
| 11,897 | 2,011 | HECE1**111985 | 1985-11-15 | 33 | 7985f3de998eb4f38c5459ca6e470ce2 | Hombre | 2010-11-05 | 2011-05-31 | PG-PAB | Si | |
| 66,976 | 2,015 | PETA1**081960 | 1960-08-20 | 59 | 79988adc284a3066b3bb575596f80f91 | Hombre | 2014-04-24 | 2015-03-27 | PG-PAB | Si | |
| 48,818 | 2,014 | PETA1**081958 | 1958-08-07 | 61 | 79988adc284a3066b3bb575596f80f91 | Hombre | 2013-01-17 | 2014-03-07 | PG-PAI | Si | |
| 105,389 | 2,017 | ISNA1**051979 | 1979-05-31 | 40 | 79b24f856a5844a20d2f5e44862cbb26 | NA | Hombre | 2014-07-22 | 2017-02-16 | PG-PAI | Si |
| 39,035 | 2,013 | ISNA1**051968 | 1968-05-31 | 51 | 79b24f856a5844a20d2f5e44862cbb26 | Hombre | 2013-04-02 | 2013-08-12 | PG-PAI | Si | |
| 99,109 | 2,016 | BAPE1**041996 | 1996-04-22 | 23 | 79d003fc83383afb5e9e3846b62c593b | Hombre | 2016-06-20 | 2016-08-24 | PG-PAI | No | |
| 94,070 | 2,016 | BAPE1**041995 | 1995-04-22 | 24 | 79d003fc83383afb5e9e3846b62c593b | Hombre | 2016-02-22 | 2016-07-08 | PG-PAI | Si | |
| 161,109 | 2,019 | MAMU1**082001 | 2001-08-06 | 18 | 7a4bf59c6210afe06194e942d349b900 | NA | Hombre | 2019-08-13 | NA | PG-PAB | Si |
| 2,443 | 2,010 | MAMU1**081968 | 1968-08-14 | 51 | 7a4bf59c6210afe06194e942d349b900 | Hombre | 2009-03-15 | 2010-04-30 | PG-PR | Si | |
| 37,689 | 2,013 | MASA2**071972 | 1972-07-06 | 47 | 7a6c6a1ef6ed2f21b4f79496876c1d93 | Mujer | 2013-03-04 | 2013-04-30 | M-PAI | Si | |
| 19,431 | 2,011 | MASA2**101971 | 1971-10-06 | 48 | 7a6c6a1ef6ed2f21b4f79496876c1d93 | Mujer | 2011-10-03 | 2011-12-27 | M-PAI | Si | |
| 34,401 | 2,013 | MAHE2**111983 | 1983-11-19 | 35 | 7a712f4dca6952ab32178aa1efc92d99 | Mujer | 2012-10-31 | 2013-05-19 | M-PR | Si | |
| 26,435 | 2,012 | MAHE2**061980 | 1980-06-08 | 39 | 7a712f4dca6952ab32178aa1efc92d99 | Mujer | 2012-04-17 | 2012-09-30 | M-PAI | Si | |
| 150,483 | 2,019 | MAMA2**111984 | 1984-11-12 | 35 | 7ab9c36de55a0d580aabf40bb469ef44 | NA | Mujer | 2018-11-21 | NA | PG PAI 2 | Si |
| 110,580 | 2,017 | MAMA2**111984 | 1984-11-12 | 34 | 7ab9c36de55a0d580aabf40bb469ef44 | NA | Mujer | 2016-11-04 | 2017-06-01 | PG-PAB | Si |
| 103,403 | 2,016 | MAMA2**111984 | 1984-11-12 | 34 | 7ab9c36de55a0d580aabf40bb469ef44 | Mujer | 2016-10-19 | 2016-10-31 | M-PR | Si | |
| 161,396 | 2,019 | DAGO2**121998 | 1998-12-29 | 20 | 7ad7446886037ae6cb1e13d49548888a | NA | Mujer | 2019-08-22 | 2019-09-30 | M-PAI | Si |
| 116,168 | 2,017 | DAGO1**121988 | 1988-12-29 | 30 | 7ad7446886037ae6cb1e13d49548888a | NA | Hombre | 2017-04-03 | 2017-05-01 | PG-PAI | No |
| 35,839 | 2,013 | CRHI1**031975 | 1975-03-22 | 44 | 7b3302233c72ec8e97258a677cb21034 | Hombre | 2013-01-01 | 2014-08-01 | Otro | No | |
| 35,841 | 2,013 | RACA1**011989 | 1989-01-01 | 30 | 7b3302233c72ec8e97258a677cb21034 | Hombre | 2013-01-01 | 2014-08-01 | Otro | No | |
| 35,831 | 2,013 | RABA1**121980 | 1980-12-21 | 38 | 7b3302233c72ec8e97258a677cb21034 | Hombre | 2013-01-01 | 2013-08-01 | PG-PAI | Si | |
| 131,916 | 2,018 | ANLO1**081969 | 1969-08-09 | 50 | 7b3795997d5fc54019d2783e5f145293 | NA | Hombre | 2017-12-18 | 2018-03-29 | PG-PAI | Si |
| 106,443 | 2,017 | ANLO1**081964 | 1964-08-09 | 55 | 7b3795997d5fc54019d2783e5f145293 | NA | Hombre | 2016-02-01 | 2017-03-16 | PG-PR | Si |
| 90,352 | 2,016 | ANLO1**081964 | 1964-08-09 | 55 | 7b3795997d5fc54019d2783e5f145293 | Hombre | 2015-10-05 | 2016-01-29 | PG-PAB | Si | |
| 111,913 | 2,017 | GEGA1**041975 | 1975-04-10 | 44 | 7b6deba5c082b576b79bbdbbf950b48b | NA | Hombre | 2017-01-03 | 2017-06-01 | PG-PAI | Si |
| 92,680 | 2,016 | GEGA1**041975 | 1975-04-10 | 44 | 7b6deba5c082b576b79bbdbbf950b48b | Hombre | 2016-01-01 | 2017-01-02 | PG-PAB | Si | |
| 37,123 | 2,013 | GEGA1**071974 | 1974-07-11 | 45 | 7b6deba5c082b576b79bbdbbf950b48b | Hombre | 2013-02-27 | 2014-08-01 | Otro | No | |
| 109,814 | 2,017 | CLDE1**101982 | 1982-10-15 | 37 | 7b7a401b447c49c4fa2dcb7d6905f546 | NA | Hombre | 2016-10-03 | 2017-11-01 | PG-PAI | No |
| 67,272 | 2,015 | CLDE1**101992 | 1992-10-15 | 27 | 7b7a401b447c49c4fa2dcb7d6905f546 | Hombre | 2014-05-05 | 2015-05-30 | PG-PAI | Si | |
| 82,221 | 2,015 | GUCA1**091980 | 1980-09-23 | 39 | 7b89b7a63cee4bc130272aab7adafeb3 | Hombre | 2015-09-11 | 2015-11-30 | PG-PAB | Si | |
| 66,161 | 2,015 | GUCA1**121980 | 1980-12-18 | 38 | 7b89b7a63cee4bc130272aab7adafeb3 | Hombre | 2013-12-10 | 2015-03-31 | PG-PAB | Si | |
| 33,013 | 2,013 | GUCA1**091980 | 1980-09-23 | 39 | 7b89b7a63cee4bc130272aab7adafeb3 | Hombre | 2012-06-06 | 2013-01-17 | PG-PAB | Si | |
| 9,528 | 2,010 | GUCA1**091980 | 1980-09-23 | 39 | 7b89b7a63cee4bc130272aab7adafeb3 | Hombre | 2010-12-06 | 2010-12-29 | PG-PR | Si | |
| 9,027 | 2,010 | GUCA1**091980 | 1980-09-23 | 39 | 7b89b7a63cee4bc130272aab7adafeb3 | Hombre | 2010-11-18 | 2010-12-02 | PG-PAB | Si | |
| 51,733 | 2,014 | LUMU1**101972 | 1972-10-18 | 47 | 7bf382759a9691281b06a2207db63fe4 | Hombre | 2013-11-06 | 2015-02-06 | PG-PAI | Si | |
| 33,165 | 2,013 | LUMU1**101972 | 1972-10-18 | 47 | 7bf382759a9691281b06a2207db63fe4 | Hombre | 2012-06-28 | 2013-04-18 | PG-PAI | Si | |
| 5,116 | 2,010 | LUMU1**071976 | 1976-07-16 | 43 | 7bf382759a9691281b06a2207db63fe4 | Hombre | 2010-04-14 | 2010-09-14 | PG-PAI | Si | |
| 2,208 | 2,010 | LUMU1**101972 | 1972-10-18 | 47 | 7bf382759a9691281b06a2207db63fe4 | Hombre | 2009-10-05 | 2010-03-30 | PG-PAI | Si | |
| 19,406 | 2,011 | OCSI1**051989 | 1989-05-15 | 30 | 7bf963085fd02dc35c1aa792cc51afc1 | Hombre | 2011-10-19 | 2011-11-30 | PG-PAB | Si | |
| 19,403 | 2,011 | PAAR2**081980 | 1980-08-30 | 39 | 7bf963085fd02dc35c1aa792cc51afc1 | Mujer | 2011-10-13 | 2011-11-14 | PG-PAB | Si | |
| 37,155 | 2,013 | RORE1**041992 | 1992-04-01 | 27 | 7bfddefbd610a4e0ff9d7ec44f7fe14a | Hombre | 2013-02-13 | 2013-08-01 | PG-PR | Si | |
| 34,891 | 2,013 | RORE1**041983 | 1983-04-01 | 36 | 7bfddefbd610a4e0ff9d7ec44f7fe14a | Hombre | 2012-11-01 | 2013-02-01 | PG-PAI | Si | |
| 153,189 | 2,019 | ESLO2**041977 | 1977-04-08 | 42 | 7c03d287c2738b541c04b0a8a2e00159 | NA | Mujer | 2019-01-24 | NA | PG PAI 2 | Si |
| 58,975 | 2,014 | ESLO2**041975 | 1975-04-07 | 44 | 7c03d287c2738b541c04b0a8a2e00159 | Mujer | 2014-05-26 | 2014-09-01 | PG-PAI | Si | |
| 25,128 | 2,012 | ESLO2**041975 | 1975-04-07 | 44 | 7c03d287c2738b541c04b0a8a2e00159 | Mujer | 2012-02-07 | 2012-08-21 | PG-PAI | Si | |
| 160,906 | 2,019 | CRPE1**111984 | 1984-11-19 | 34 | 7c173ce5f2687cfa98daa69c90e1c88c | NA | Hombre | 2019-08-20 | NA | PG-PAI | Si |
| 128,195 | 2,018 | CRPE1**111985 | 1985-11-19 | 33 | 7c173ce5f2687cfa98daa69c90e1c88c | NA | Hombre | 2017-06-20 | 2018-04-04 | PG-PAI | Si |
| 42,527 | 2,013 | GLCA2**071948 | 1948-07-09 | 71 | 7c40cfb8fe28b9482ec5467a3a577f7c | Mujer | 2013-07-30 | 2013-11-25 | PG-PAB | Si | |
| 18,322 | 2,011 | GLCA2**081992 | 1992-08-09 | 27 | 7c40cfb8fe28b9482ec5467a3a577f7c | Mujer | 2011-08-17 | 2011-12-19 | PG-PAB | Si | |
| 152,775 | 2,019 | MASA2**021991 | 1991-02-05 | 28 | 7c9263a3b09b7f260645b31ba32c5013 | NA | Mujer | 2019-01-28 | NA | M-PR | Si |
| 151,610 | 2,019 | MASA2**021991 | 1991-02-05 | 28 | 7c9263a3b09b7f260645b31ba32c5013 | NA | Mujer | 2018-11-30 | 2019-01-25 | PG-PAI | Si |
| 135,257 | 2,018 | MASA2**021990 | 1990-02-05 | 29 | 7c9263a3b09b7f260645b31ba32c5013 | NA | Mujer | 2018-01-17 | 2018-07-23 | PG-PAI | Si |
| 147,835 | 2,019 | MAAR2**101989 | 1989-10-13 | 30 | 7ce92165eb54d488f53b87750a2f63bc | NA | Mujer | 2018-06-19 | 2019-01-30 | PG-PAI | Si |
| 117,081 | 2,017 | MAAR2**101989 | 1989-10-13 | 30 | 7ce92165eb54d488f53b87750a2f63bc | NA | Mujer | 2017-05-05 | 2017-06-30 | PG-PAI | Si |
| 33,958 | 2,013 | MAAR2**101988 | 1988-10-03 | 31 | 7ce92165eb54d488f53b87750a2f63bc | Mujer | 2012-04-10 | 2013-05-14 | PG-PAI | Si | |
| 151,232 | 2,019 | HEAR1**061980 | 1980-06-17 | 39 | 7d04c757a6074c006dec7df53fd823a0 | NA | Hombre | 2018-12-13 | 2019-07-15 | PG-PR | Si |
| 108,835 | 2,017 | HEAR1**061980 | 1980-06-17 | 39 | 7d04c757a6074c006dec7df53fd823a0 | NA | Hombre | 2016-08-31 | 2017-05-15 | PG-PR | Si |
| 739 | 2,010 | HEAR1**061979 | 1979-06-17 | 40 | 7d04c757a6074c006dec7df53fd823a0 | Hombre | 2010-01-06 | 2010-11-30 | PG-PAI | Si | |
| 101,859 | 2,016 | MADI1**101990 | 1990-10-24 | 29 | 7d4c1ef3322a23e6e4fe4f8c76e69f9f | Hombre | 2016-09-21 | 2016-10-11 | PG-PR | Si | |
| 88,482 | 2,016 | MADI1**101990 | 1990-10-24 | 29 | 7d4c1ef3322a23e6e4fe4f8c76e69f9f | Hombre | 2015-05-13 | 2016-03-16 | PG-PR | Si | |
| 65,747 | 2,015 | MADI1**111990 | 1990-11-24 | 28 | 7d4c1ef3322a23e6e4fe4f8c76e69f9f | Hombre | 2013-07-29 | 2015-06-26 | PG-PR | Si | |
| 156,676 | 2,019 | GUMA1**111984 | 1984-11-18 | 34 | 7d798ec191363c95bfe698c77577013b | NA | Hombre | 2019-05-08 | 2019-08-12 | PG-PR | Si |
| 152,427 | 2,019 | GUMA1**111984 | 1984-11-18 | 34 | 7d798ec191363c95bfe698c77577013b | NA | Hombre | 2019-01-04 | 2019-01-17 | PG-PR | Si |
| 129,215 | 2,018 | GUMA1**111984 | 1984-11-18 | 34 | 7d798ec191363c95bfe698c77577013b | NA | Hombre | 2017-08-30 | 2018-05-22 | PG-PR | Si |
| 82,496 | 2,015 | GUMA1**101984 | 1984-10-18 | 35 | 7d798ec191363c95bfe698c77577013b | Hombre | 2015-10-15 | 2015-10-28 | PG-PAI | Si | |
| 78,737 | 2,015 | GUMA1**111984 | 1984-11-18 | 34 | 7d798ec191363c95bfe698c77577013b | Hombre | 2015-07-08 | 2015-08-31 | PG-PAI | Si | |
| 77,006 | 2,015 | GUMA1**111984 | 1984-11-18 | 34 | 7d798ec191363c95bfe698c77577013b | Hombre | 2015-04-17 | 2015-07-01 | PG-PAI | Si | |
| 153,734 | 2,019 | MAPE1**031995 | 1995-03-03 | 24 | 7d92e6e8d55a12c1b308c78dbad0f5b9 | NA | Hombre | 2019-01-24 | 2019-08-27 | PG-PAI | Si |
| 127,701 | 2,018 | MAPE1**031985 | 1985-03-03 | 34 | 7d92e6e8d55a12c1b308c78dbad0f5b9 | NA | Hombre | 2017-05-10 | 2018-04-27 | PG-PAI | Si |
| 82,082 | 2,015 | PERO1**031985 | 1985-03-03 | 34 | 7d92e6e8d55a12c1b308c78dbad0f5b9 | Hombre | 2015-09-11 | 2015-11-30 | PG-PAB | Si | |
| 161,026 | 2,019 | ROHE1**111960 | 1960-11-04 | 59 | 7db8e58afd11c6d3eced4eff910fb373 | NA | Hombre | 2019-06-24 | 2019-08-30 | PG-PAB | Si |
| 126,414 | 2,018 | ROHE1**111960 | 1960-11-04 | 59 | 7db8e58afd11c6d3eced4eff910fb373 | NA | Hombre | 2016-11-11 | 2018-03-02 | PG-PAI | Si |
| 68,290 | 2,015 | ROHE1**111960 | 1960-11-04 | 59 | 7db8e58afd11c6d3eced4eff910fb373 | Hombre | 2014-08-04 | 2015-03-31 | PG-PAB | Si | |
| 50,386 | 2,014 | ROHE1**081961 | 1961-08-28 | 58 | 7db8e58afd11c6d3eced4eff910fb373 | Hombre | 2013-08-08 | 2014-01-30 | PG-PAB | Si | |
| 155,783 | 2,019 | CAMU2**011981 | 1981-01-08 | 38 | 7e1a37328b0eb785274fa33481176b93 | NA | Mujer | 2019-04-01 | NA | PG-PAI | Si |
| 141,995 | 2,018 | CAMU2**011981 | 1981-01-08 | 38 | 7e1a37328b0eb785274fa33481176b93 | NA | Mujer | 2018-09-14 | 2018-12-30 | M-PR | Si |
| 110,400 | 2,017 | CAMU2**011981 | 1981-01-08 | 38 | 7e1a37328b0eb785274fa33481176b93 | NA | Mujer | 2016-11-15 | 2017-08-25 | M-PAI | Si |
| 97,820 | 2,016 | CAMU2**011996 | 1996-01-08 | 23 | 7e1a37328b0eb785274fa33481176b93 | Mujer | 2016-06-01 | 2016-07-25 | M-PR | Si | |
| 90,495 | 2,016 | CAMU2**011981 | 1981-01-08 | 38 | 7e1a37328b0eb785274fa33481176b93 | Mujer | 2015-10-05 | 2016-05-31 | M-PAI | Si | |
| 146,428 | 2,019 | HEVE1**111953 | 1953-11-08 | 66 | 7e35098fa8d8bfe853f55dd23a53736a | NA | Hombre | 2017-12-05 | 2019-05-06 | PG-PAI | Si |
| 86,672 | 2,016 | HEVE1**111953 | 1953-11-08 | 65 | 7e35098fa8d8bfe853f55dd23a53736a | Hombre | 2015-03-09 | 2016-10-11 | PG-PAB | Si | |
| 71,627 | 2,015 | HEVE1**111953 | 1953-11-08 | 65 | 7e35098fa8d8bfe853f55dd23a53736a | Hombre | 2015-01-15 | 2015-03-02 | PG-PAI | Si | |
| 71,557 | 2,015 | MIVA2**111966 | 1966-11-14 | 52 | 7e89f2e9b726160dd043f65cdf105d73 | Mujer | 2015-01-30 | 2015-03-13 | PG-PAI | Si | |
| 50,985 | 2,014 | MIVA2**101966 | 1966-10-14 | 53 | 7e89f2e9b726160dd043f65cdf105d73 | Mujer | 2013-10-04 | 2015-01-29 | PG-PAI | Si | |
| 25,192 | 2,012 | MIVA2**111966 | 1966-11-14 | 52 | 7e89f2e9b726160dd043f65cdf105d73 | Mujer | 2012-02-01 | 2012-08-27 | PG-PAB | Si | |
| 31,576 | 2,012 | IVOL1**061987 | 1987-06-19 | 32 | 7ead68bf9eb6d118c9afc8e8f022769d | Hombre | 2012-11-05 | 2012-11-10 | PG-PR | Si | |
| 24,858 | 2,012 | IVOL1**061987 | 1987-06-19 | 32 | 7ead68bf9eb6d118c9afc8e8f022769d | Hombre | 2012-02-23 | 2012-05-28 | PG-PR | Si | |
| 18,700 | 2,011 | IVOL1**061992 | 1992-06-19 | 27 | 7ead68bf9eb6d118c9afc8e8f022769d | Hombre | 2011-09-01 | 2012-02-06 | PG-PR | Si | |
| 14,223 | 2,011 | IVOL1**061987 | 1987-06-19 | 32 | 7ead68bf9eb6d118c9afc8e8f022769d | Hombre | 2011-02-21 | 2011-05-24 | PG-PR | No | |
| 394 | 2,010 | IVOL1**061987 | 1987-06-19 | 32 | 7ead68bf9eb6d118c9afc8e8f022769d | Hombre | 2009-09-14 | 2010-04-30 | PG-PAI | Si | |
| 116,591 | 2,017 | ARSA1**091989 | 1989-09-04 | 30 | 7ebe33015f1d140605a4f6e319e78c65 | NA | Hombre | 2017-05-11 | 2018-01-01 | PG-PAI | Si |
| 93,850 | 2,016 | ARSA1**091989 | 1989-09-04 | 30 | 7ebe33015f1d140605a4f6e319e78c65 | Hombre | 2016-02-25 | 2016-06-25 | PG-PR | Si | |
| 91,242 | 2,016 | ARSA1**091982 | 1982-09-04 | 37 | 7ebe33015f1d140605a4f6e319e78c65 | Hombre | 2015-11-01 | 2016-02-24 | PG-PAI | Si | |
| 139,605 | 2,018 | GABA1**121962 | 1962-12-09 | 56 | 7ee4a8051952e8c7fcd20dcda8799258 | NA | Hombre | 2018-06-18 | 2018-10-01 | PG-PAI | Si |
| 61,671 | 2,014 | GABA1**121962 | 1962-12-09 | 56 | 7ee4a8051952e8c7fcd20dcda8799258 | Hombre | 2014-08-22 | 2014-12-05 | PG-PAI | Si | |
| 43,200 | 2,013 | GABA1**091962 | 1962-09-09 | 57 | 7ee4a8051952e8c7fcd20dcda8799258 | Hombre | 2013-08-20 | 2014-02-07 | PG-PAB | Si | |
| 36,112 | 2,013 | ADGO1**011985 | 1985-01-04 | 34 | 7efbb01941b67168c0f8577ed312c7ce | Hombre | 2013-01-15 | 2013-08-12 | PG-PAB | Si | |
| 26,561 | 2,012 | ADGO1**011993 | 1993-01-04 | 26 | 7efbb01941b67168c0f8577ed312c7ce | Hombre | 2012-04-12 | 2012-08-30 | PG-PAB | Si | |
| 145,749 | 2,019 | MAUR1**111973 | 1973-11-12 | 46 | 7f056d646d8b09fded9c7de235d2418b | NA | Hombre | 2016-06-28 | 2019-02-01 | PG-PAB | Si |
| 95,533 | 2,016 | MAUR1**111973 | 1973-11-12 | 45 | 7f056d646d8b09fded9c7de235d2418b | Hombre | 2016-02-08 | 2016-06-27 | PG-PAI | Si | |
| 52,065 | 2,014 | MAUR1**111973 | 1973-11-13 | 45 | 7f056d646d8b09fded9c7de235d2418b | Hombre | 2013-11-28 | 2014-02-25 | PG-PAB | Si | |
| 130,305 | 2,018 | KACA2**061982 | 1982-06-02 | 37 | 7f058d0c08ccbbef4f7d773bd65cb033 | NA | Mujer | 2017-09-29 | 2018-04-27 | PG-PAI | Si |
| 66,308 | 2,015 | KACA2**121982 | 1982-12-02 | 36 | 7f058d0c08ccbbef4f7d773bd65cb033 | Mujer | 2014-01-09 | 2015-04-21 | PG-PAI | Si | |
| 24,144 | 2,012 | KACA1**061982 | 1982-06-02 | 37 | 7f058d0c08ccbbef4f7d773bd65cb033 | Hombre | 2012-01-02 | 2012-04-13 | PG-PAI | Si | |
| 17,182 | 2,011 | KACA2**061982 | 1982-06-02 | 37 | 7f058d0c08ccbbef4f7d773bd65cb033 | Mujer | 2011-07-01 | 2012-01-02 | M-PAI | Si | |
| 27,258 | 2,012 | JUCA1**091969 | 1969-09-17 | 50 | 7f2f4d16ef1e42caaf1d484e0fec91fc | Hombre | 2012-05-16 | 2012-12-19 | PG-PAI | Si | |
| 14,494 | 2,011 | JUCA1**091968 | 1968-09-17 | 51 | 7f2f4d16ef1e42caaf1d484e0fec91fc | Hombre | 2011-03-24 | 2011-04-08 | PG-PR | Si | |
| 151,340 | 2,019 | MAPE2**111975 | 1975-11-11 | 44 | 7f7af02b8c925fc5fbea240a0e1588fd | NA | Mujer | 2018-12-07 | 2019-03-01 | PG-PAI | Si |
| 122,836 | 2,017 | MAPE2**111975 | 1975-11-11 | 43 | 7f7af02b8c925fc5fbea240a0e1588fd | NA | Mujer | 2017-10-11 | 2018-01-01 | M-PR | Si |
| 67,267 | 2,015 | MAPE2**111975 | 1975-11-11 | 43 | 7f7af02b8c925fc5fbea240a0e1588fd | Mujer | 2014-05-26 | 2015-04-01 | PG-PAI | Si | |
| 89,343 | 2,016 | CRMO1**121987 | 1987-12-29 | 31 | 7f9dbed4d11d1ab3608079ef7a04f63e | Hombre | 2015-08-27 | 2016-02-29 | PG-PR | Si | |
| 53,554 | 2,014 | CRMO1**121986 | 1986-12-28 | 32 | 7f9dbed4d11d1ab3608079ef7a04f63e | Hombre | 2014-01-19 | 2014-02-05 | PG-PR | No | |
| 24,378 | 2,012 | CRMO1**121987 | 1987-12-28 | 31 | 7f9dbed4d11d1ab3608079ef7a04f63e | Hombre | 2012-01-11 | 2012-11-26 | PG-PR | Si | |
| 128,864 | 2,018 | DOBA2**071965 | 1965-07-01 | 54 | 7fa667208183819eec3cf70d18334f63 | NA | Mujer | 2017-08-07 | 2018-03-05 | PG-PAI | Si |
| 77,329 | 2,015 | DOBA1**071964 | 1964-07-01 | 55 | 7fa667208183819eec3cf70d18334f63 | Hombre | 2015-06-03 | 2015-07-22 | PG-PAI | Si | |
| 13,181 | 2,011 | MAMU2**121987 | 1987-12-23 | 31 | 7fb1d4b58666b99c79240e383ff8f0dc | Mujer | 2011-01-03 | 2011-03-31 | PG-PAI | Si | |
| 16,324 | 2,011 | MAMU2**051987 | 1987-05-23 | 32 | 7fb1d4b58666b99c79240e383ff8f0dc | Mujer | 2010-12-21 | 2011-09-16 | PG-PAB | Si | |
| 116,885 | 2,017 | MAZA2**051999 | 1999-05-22 | 20 | 7fbc4c4ec5f8762f9af7f6e5cf98a6cc | NA | Mujer | 2017-05-22 | 2017-06-05 | PG-PAI | Si |
| 113,945 | 2,017 | MAZA2**071980 | 1980-07-07 | 39 | 7fbc4c4ec5f8762f9af7f6e5cf98a6cc | NA | Mujer | 2017-02-27 | 2017-04-03 | PG-PAI | Si |
| 110,601 | 2,017 | CABR1**061990 | 1990-06-01 | 29 | 7fce87cd9b07336d35f0c8e39acbe31c | NA | Hombre | 2016-11-28 | 2017-05-31 | PG-PR | Si |
| 70,929 | 2,015 | CABR1**061999 | 1999-06-01 | 20 | 7fce87cd9b07336d35f0c8e39acbe31c | Hombre | 2015-01-12 | 2015-03-30 | PG-PAB | Si | |
| 51,174 | 2,014 | ALAL1**121975 | 1975-12-12 | 43 | 7fced0f894e710f36dbb3d837188ca82 | Hombre | 2013-10-22 | 2014-02-28 | PG-PAB | Si | |
| 11,698 | 2,011 | ALAL1**121985 | 1985-12-18 | 33 | 7fced0f894e710f36dbb3d837188ca82 | Hombre | 2010-11-01 | 2011-07-01 | PG-PAB | Si | |
| 49,491 | 2,014 | JUFI1**011962 | 1962-01-04 | 57 | 7feb76f9ec7b34f0b2e8c5c52a56dced | Hombre | 2013-06-27 | 2014-06-16 | PG-PAI | Si | |
| 4,390 | 2,010 | JUFI1**011972 | 1972-01-04 | 47 | 7feb76f9ec7b34f0b2e8c5c52a56dced | Hombre | 2010-03-01 | 2010-09-30 | PG-PAI | Si | |
| 92,813 | 2,016 | GUBR1**121974 | 1974-12-24 | 44 | 802b98b3feed7bae1908c32a42965aea | Hombre | 2016-01-16 | 2016-03-23 | PG-PR | Si | |
| 85,883 | 2,016 | GUBR1**121973 | 1973-12-24 | 45 | 802b98b3feed7bae1908c32a42965aea | Hombre | 2014-09-02 | 2016-01-15 | PG-PAB | Si | |
| 113,330 | 2,017 | EDHE1**091948 | 1948-09-18 | 71 | 8055b860982936f7201bd607803c54d3 | NA | Hombre | 2017-02-13 | 2017-12-01 | PG-PAI | Si |
| 87,646 | 2,016 | EDHE1**091949 | 1949-09-18 | 70 | 8055b860982936f7201bd607803c54d3 | Hombre | 2015-05-20 | 2016-05-20 | PG-PAI | Si | |
| 37,202 | 2,013 | CRVA1**111982 | 1982-11-16 | 36 | 8074963d3860cce4abef913b1b074d30 | Hombre | 2013-02-08 | 2013-05-20 | PG-PAB | Si | |
| 23,010 | 2,012 | CRVA1**111992 | 1992-11-16 | 26 | 8074963d3860cce4abef913b1b074d30 | Hombre | 2011-11-03 | 2012-07-31 | PG-PAB | Si | |
| 76,977 | 2,015 | GACA1**101967 | 1967-10-21 | 52 | 8082981f2de11a4951f654ebdf3800e5 | Hombre | 2015-05-04 | 2015-09-01 | PG-PAB | Si | |
| 13,141 | 2,011 | GACA1**101967 | 1967-10-21 | 52 | 8082981f2de11a4951f654ebdf3800e5 | Hombre | 2010-12-27 | 2011-04-07 | PG-PAI | Si | |
| 11,336 | 2,011 | GACA1**101960 | 1960-10-21 | 59 | 8082981f2de11a4951f654ebdf3800e5 | Hombre | 2010-08-30 | 2011-01-04 | PG-PAB | Si | |
| 160,451 | 2,019 | LUVE1**111971 | 1971-11-03 | 48 | 80908ed8e37806d95649dacad8bfc085 | NA | Hombre | 2019-08-19 | NA | PG-PAB | Si |
| 59,280 | 2,014 | LUVE1**111971 | 1971-11-11 | 47 | 80908ed8e37806d95649dacad8bfc085 | Hombre | 2014-06-11 | 2014-11-28 | PG-PAB | Si | |
| 137,320 | 2,018 | JURE1**051980 | 1980-05-05 | 39 | 80a3453a3083fd91f438f36066759eb1 | NA | Hombre | 2018-05-03 | 2018-06-29 | PG-PAI | Si |
| 116,756 | 2,017 | JURE1**051983 | 1983-05-05 | 36 | 80a3453a3083fd91f438f36066759eb1 | NA | Hombre | 2017-05-16 | 2017-11-01 | PG-PAB | Si |
| 94,140 | 2,016 | CRAL1**011980 | 1980-01-26 | 39 | 80e0c1187da0abc82409f95f241e2350 | Hombre | 2016-02-17 | 2016-09-01 | PG-PAI | Si | |
| 91,202 | 2,016 | CRAL1**041979 | 1979-04-25 | 40 | 80e0c1187da0abc82409f95f241e2350 | Hombre | 2015-11-04 | 2016-02-16 | PG-PAB | Si | |
| 68,437 | 2,015 | LUJE1**091987 | 1987-09-06 | 32 | 80fb49405b6aa76a3406ae7b7cc33cc7 | Hombre | 2014-08-21 | 2015-02-06 | PG-PR | Si | |
| 58,209 | 2,014 | LUJE1**021989 | 1989-02-25 | 30 | 80fb49405b6aa76a3406ae7b7cc33cc7 | Hombre | 2014-05-07 | 2014-08-29 | PG-PAI | Si | |
| 54,420 | 2,014 | LUJE1**091987 | 1987-09-06 | 32 | 80fb49405b6aa76a3406ae7b7cc33cc7 | Hombre | 2014-02-03 | 2014-02-28 | PG-PAI | Si | |
| 51,756 | 2,014 | LUJE1**091987 | 1987-09-06 | 32 | 80fb49405b6aa76a3406ae7b7cc33cc7 | Hombre | 2013-11-18 | 2014-01-31 | PG-PR | Si | |
| 44,152 | 2,013 | LUJE1**091987 | 1987-09-06 | 32 | 80fb49405b6aa76a3406ae7b7cc33cc7 | Hombre | 2013-09-06 | 2013-11-01 | PG-PR | Si | |
| 48,786 | 2,014 | LOOR2**011994 | 1994-01-23 | 25 | 80ff7ce3611b1244edde94498bef6f3f | Mujer | 2013-04-22 | 2014-05-02 | PG-PR | Si | |
| 35,040 | 2,013 | IROR2**011971 | 1971-01-23 | 48 | 80ff7ce3611b1244edde94498bef6f3f | Mujer | 2011-11-29 | 2013-05-29 | PG-PAB | Si | |
| 27,222 | 2,012 | IROR2**011971 | 1971-01-23 | 48 | 80ff7ce3611b1244edde94498bef6f3f | Mujer | 2011-11-29 | 2012-10-31 | PG-PAI | Si | |
| 16,986 | 2,011 | NEGO1**121980 | 1980-12-24 | 38 | 813a63201654b6bf14fe6b60ca337422 | Hombre | 2011-05-02 | 2011-09-30 | PG-PAI | Si | |
| 15,688 | 2,011 | NEGO1**051992 | 1992-05-02 | 27 | 813a63201654b6bf14fe6b60ca337422 | Hombre | 2011-05-02 | 2011-06-06 | PG-PAB | Si | |
| 93,981 | 2,016 | GIBR2**091975 | 1975-09-06 | 44 | 813c205f166f98abc19f65b62fbfd103 | Mujer | 2015-12-29 | 2016-05-31 | M-PAI | Si | |
| 23,318 | 2,012 | GIBR2**091977 | 1977-09-06 | 42 | 813c205f166f98abc19f65b62fbfd103 | Mujer | 2011-11-14 | 2012-02-01 | M-PAI | Si | |
| 79,356 | 2,015 | JUGU1**021960 | 1960-02-22 | 59 | 8153adad8f356b63b13a03de47602540 | Hombre | 2015-07-22 | 2015-10-01 | PG-PAI | Si | |
| 69,348 | 2,015 | JUGU1**051969 | 1969-05-09 | 50 | 8153adad8f356b63b13a03de47602540 | Hombre | 2014-09-17 | 2015-06-24 | PG-PAI | Si | |
| 35,050 | 2,013 | FEZU1**011977 | 1977-01-22 | 42 | 815971a821a8d0e0ab0c5fa7e2f0d6eb | Hombre | 2012-12-13 | 2013-03-18 | PG-PR | Si | |
| 31,601 | 2,012 | FEZU1**011976 | 1976-01-22 | 43 | 815971a821a8d0e0ab0c5fa7e2f0d6eb | Hombre | 2012-11-26 | 2012-12-13 | PG-PAI | Si | |
| 61,319 | 2,014 | JOGU1**121981 | 1981-12-01 | 37 | 81ab2e9233e4802818d08547892520e3 | Hombre | 2014-08-18 | 2014-09-18 | PG-PR | Si | |
| 20,860 | 2,012 | JOGU1**121982 | 1982-12-01 | 36 | 81ab2e9233e4802818d08547892520e3 | Hombre | 2011-01-11 | 2012-01-11 | PG-PR | Si | |
| 411 | 2,010 | JOGU1**121982 | 1982-12-01 | 36 | 81ab2e9233e4802818d08547892520e3 | Hombre | 2009-06-03 | 2010-02-26 | PG-PAI | Si | |
| 31,582 | 2,012 | HEVI1**071957 | 1957-07-16 | 62 | 81db9a093bd2011abc74b232ceccb14c | Hombre | 2012-11-16 | 2012-12-30 | PG-PR | Si | |
| 28,458 | 2,012 | HEVI1**061957 | 1957-06-16 | 62 | 81db9a093bd2011abc74b232ceccb14c | Hombre | 2012-05-10 | 2012-10-16 | PG-PR | Si | |
| 20,529 | 2,011 | HEVI1**121957 | 1957-12-16 | 61 | 81db9a093bd2011abc74b232ceccb14c | Hombre | 2011-12-19 | 2011-12-21 | PG-PR | Si | |
| 34,938 | 2,013 | PALE1**051980 | 1980-05-21 | 39 | 823dcf183768c9eff2ebeaacce5aa6dd | Hombre | 2012-11-15 | 2013-06-05 | PG-PAB | Si | |
| 3,256 | 2,010 | PALE1**081976 | 1976-08-20 | 43 | 823dcf183768c9eff2ebeaacce5aa6dd | Hombre | 2009-12-14 | 2010-12-30 | PG-PAB | Si | |
| 102,049 | 2,016 | GUCA1**071967 | 1967-07-15 | 52 | 82c1308daf883286e43cff5cb2491425 | Hombre | 2016-09-07 | 2016-10-27 | PG-PAB | Si | |
| 95,228 | 2,016 | GUCA1**071965 | 1965-07-15 | 54 | 82c1308daf883286e43cff5cb2491425 | Hombre | 2016-03-15 | 2016-08-23 | PG-PR | No | |
| 74,139 | 2,015 | CRMU1**071978 | 1978-07-31 | 41 | 82d737b82d6561071f0f311b37874fae | Hombre | 2015-02-02 | 2015-07-01 | PG-PAI | Si | |
| 68,594 | 2,015 | CRMU1**071978 | 1978-07-31 | 41 | 82d737b82d6561071f0f311b37874fae | Hombre | 2014-09-17 | 2015-02-24 | PG-PR | Si | |
| 53,222 | 2,014 | CRMU1**071998 | 1998-07-31 | 21 | 82d737b82d6561071f0f311b37874fae | Hombre | 2014-01-21 | 2014-06-20 | PG-PAB | Si | |
| 147,154 | 2,019 | LUVA1**111964 | 1964-11-16 | 54 | 830b2e20ddcb67fc3c01101c8cbc065d | NA | Hombre | 2018-04-04 | 2019-07-10 | PG-PAB | Si |
| 93,194 | 2,016 | LUVA1**121962 | 1962-12-25 | 56 | 830b2e20ddcb67fc3c01101c8cbc065d | Hombre | 2016-01-04 | 2016-08-01 | PG-PAI | Si | |
| 141,900 | 2,018 | MATO1**091969 | 1969-09-22 | 50 | 835a5b95bbe4e77c1aa029d3005c72b2 | NA | Hombre | 2018-07-18 | 2018-11-20 | PG-PAB | No |
| 107,924 | 2,017 | MATO1**091968 | 1968-09-22 | 51 | 835a5b95bbe4e77c1aa029d3005c72b2 | NA | Hombre | 2016-07-06 | 2017-03-01 | PG-PAB | Si |
| 89,976 | 2,016 | MATO1**091968 | 1968-09-22 | 51 | 835a5b95bbe4e77c1aa029d3005c72b2 | Hombre | 2015-10-16 | 2016-05-02 | PG-PAB | Si | |
| 38,399 | 2,013 | NEVE1**071971 | 1971-07-23 | 48 | 836311baae5bc4997cdfc55e4fd1c0ab | Hombre | 2012-03-14 | 2013-08-01 | PG-PR | No | |
| 13,498 | 2,011 | NEVE1**061990 | 1990-06-23 | 29 | 836311baae5bc4997cdfc55e4fd1c0ab | Hombre | 2010-12-02 | 2011-04-30 | PG-PAI | Si | |
| 107,358 | 2,017 | MAVI2**051981 | 1981-05-06 | 38 | 83e1f2097f359ed3ddb41e9ec41b2dbf | NA | Mujer | 2016-05-16 | 2017-04-12 | PG-PAB | Si |
| 96,971 | 2,016 | MAVI2**121982 | 1982-12-09 | 36 | 83e1f2097f359ed3ddb41e9ec41b2dbf | Mujer | 2016-05-16 | 2016-05-24 | PG-PAB | No | |
| 65,608 | 2,015 | FAAN2**121976 | 1976-12-16 | 42 | 842052ebaea63fe49cc63010bc0644d8 | Mujer | 2013-05-08 | 2016-01-05 | PG-PAI | Si | |
| 36,916 | 2,013 | FAAN2**121977 | 1977-12-16 | 41 | 842052ebaea63fe49cc63010bc0644d8 | Mujer | 2013-02-13 | 2013-05-23 | PG-PAI | Si | |
| 160,416 | 2,019 | ALCO1**061985 | 1985-06-17 | 34 | 8486e0be1cc2e63d6acde089c7468030 | NA | Hombre | 2019-08-13 | 2019-10-11 | PG-PR | Si |
| 69,758 | 2,015 | ALCO1**061983 | 1983-06-17 | 36 | 8486e0be1cc2e63d6acde089c7468030 | Hombre | 2014-11-07 | 2015-02-06 | PG-PAB | Si | |
| 58,504 | 2,014 | ALCO1**061985 | 1985-06-17 | 34 | 8486e0be1cc2e63d6acde089c7468030 | Hombre | 2014-06-10 | 2014-11-03 | PG-PR | Si | |
| 58,397 | 2,014 | ALCO1**061985 | 1985-06-17 | 34 | 8486e0be1cc2e63d6acde089c7468030 | Hombre | 2014-05-29 | 2014-06-09 | PG-PR | Si | |
| 56,799 | 2,014 | ALCO1**061985 | 1985-06-17 | 34 | 8486e0be1cc2e63d6acde089c7468030 | Hombre | 2014-04-07 | 2014-05-29 | PG-PAB | Si | |
| 93,415 | 2,016 | XIHE2**051955 | 1955-05-29 | 64 | 8487bd56f2ad6eefbb74d59038058557 | Mujer | 2016-01-06 | 2016-12-26 | PG-PAB | Si | |
| 52,817 | 2,014 | XIHE2**051959 | 1959-05-29 | 60 | 8487bd56f2ad6eefbb74d59038058557 | Mujer | 2013-10-03 | 2014-06-18 | PG-PAB | Si | |
| 108,608 | 2,017 | JACA1**101976 | 1976-10-21 | 43 | 848c7948217bcd59bc6d7bcee796cb98 | NA | Hombre | 2016-08-25 | 2017-04-21 | PG-PAI | Si |
| 59,749 | 2,014 | JACA1**101978 | 1978-10-21 | 41 | 848c7948217bcd59bc6d7bcee796cb98 | Hombre | 2014-07-21 | 2014-11-12 | PG-PAI | Si | |
| 142,849 | 2,018 | HEBR1**061994 | 1994-06-18 | 25 | 8492e8655189acb939406b1eded1ebf2 | NA | Hombre | 2018-10-02 | 2018-12-20 | PG-PAB | Si |
| 134,157 | 2,018 | HEBR1**061994 | 1994-06-18 | 25 | 8492e8655189acb939406b1eded1ebf2 | NA | Hombre | 2018-02-26 | 2018-03-27 | PG-PAB | Si |
| 36,047 | 2,013 | HEBR1**061991 | 1991-06-18 | 28 | 8492e8655189acb939406b1eded1ebf2 | Hombre | 2013-01-02 | 2013-07-31 | PG-PAI | Si | |
| 121,223 | 2,017 | SAFI2**101976 | 1976-10-10 | 43 | 84e01c039886d4a5d6d669d703e77272 | NA | Mujer | 2017-08-10 | 2017-12-18 | PG-PAI | Si |
| 76,559 | 2,015 | SAFI2**101978 | 1978-10-10 | 41 | 84e01c039886d4a5d6d669d703e77272 | Mujer | 2015-05-15 | 2015-06-25 | Otro | No | |
| 149,094 | 2,019 | LUVI1**082000 | 2000-08-08 | 19 | 84f3286a03fcf39e430b9afeeb69f422 | NA | Hombre | 2018-08-06 | 2019-02-25 | PG-PAB | No |
| 28,663 | 2,012 | LUVI1**051970 | 1970-05-30 | 49 | 84f3286a03fcf39e430b9afeeb69f422 | Hombre | 2012-07-25 | 2012-11-23 | PG-PAB | No | |
| 131,671 | 2,018 | JOBU1**081995 | 1995-08-28 | 24 | 8571bf9534897a5482aa007ddb2540ad | NA | Hombre | 2017-12-05 | 2018-03-01 | PG-PAI | Si |
| 107,536 | 2,017 | JOBU1**081975 | 1975-08-28 | 44 | 8571bf9534897a5482aa007ddb2540ad | NA | Hombre | 2016-06-01 | 2017-04-13 | PG-PAB | Si |
| 34,293 | 2,013 | INSC2**121986 | 1986-12-09 | 32 | 85bbd702c2cf277e54c343f46b3899ea | Mujer | 2010-03-24 | 2013-05-27 | PG-PAB | Si | |
| 4,735 | 2,010 | INSC2**121985 | 1985-12-09 | 33 | 85bbd702c2cf277e54c343f46b3899ea | Mujer | 2010-03-24 | 2010-11-30 | PG-PAB | Si | |
| 157,618 | 2,019 | PAMA1**061989 | 1989-06-17 | 30 | 85be0c1c012681f21d4da017a2681ed6 | NA | Hombre | 2019-05-20 | NA | PG-PR | Si |
| 155,358 | 2,019 | PAMA1**061989 | 1989-06-17 | 30 | 85be0c1c012681f21d4da017a2681ed6 | NA | Hombre | 2019-04-01 | 2019-05-20 | PG-PAB | No |
| 111,570 | 2,017 | PAMA1**071988 | 1988-07-17 | 31 | 85be0c1c012681f21d4da017a2681ed6 | NA | Hombre | 2017-01-24 | 2017-03-31 | PG-PAI | Si |
| 115,295 | 2,017 | PAMA1**061989 | 1989-06-19 | 30 | 85be0c1c012681f21d4da017a2681ed6 | NA | Hombre | 2016-03-31 | 2017-07-28 | PG-PR | Si |
| 90,418 | 2,016 | BAGA1**061993 | 1993-06-02 | 26 | 85c862ae0104e7737f352302fa78e05b | Hombre | 2015-10-27 | 2016-06-10 | PG-PR | Si | |
| 77,525 | 2,015 | BAGA1**061993 | 1993-06-02 | 26 | 85c862ae0104e7737f352302fa78e05b | Hombre | 2015-06-08 | 2015-10-27 | PG-PAI | Si | |
| 74,812 | 2,015 | BAGA1**061983 | 1983-06-02 | 36 | 85c862ae0104e7737f352302fa78e05b | Hombre | 2015-04-02 | 2015-06-11 | PG-PAB | Si | |
| 108,493 | 2,017 | ANSI1**031983 | 1983-03-24 | 36 | 85d346f51f251acb9195cfd24d9776bf | NA | Hombre | 2015-08-20 | NA | PG-PAB | No |
| 10,534 | 2,011 | ANSI1**041985 | 1985-04-10 | 34 | 85d346f51f251acb9195cfd24d9776bf | Hombre | 2008-12-06 | 2011-08-30 | PG-PAI | Si | |
| 132,907 | 2,018 | ALGU1**091991 | 1991-09-02 | 28 | 8618a712b43c6e7ee20222a4fd25060f | NA | Hombre | 2018-01-05 | 2018-03-27 | PG-PAI | Si |
| 103,097 | 2,016 | ALGU1**091992 | 1992-09-02 | 27 | 8618a712b43c6e7ee20222a4fd25060f | Hombre | 2016-10-18 | 2016-12-13 | PG-PAI | Si | |
| 51,624 | 2,014 | JISA1**041977 | 1977-04-29 | 42 | 862cfdf610525383d0694fa81fe395c9 | Hombre | 2013-10-11 | 2014-05-08 | PG-PAB | No | |
| 35,648 | 2,013 | JISA1**091987 | 1987-09-24 | 32 | 862cfdf610525383d0694fa81fe395c9 | Hombre | 2013-01-23 | 2013-07-02 | PG-PAI | Si | |
| 34,074 | 2,013 | JISA1**041977 | 1977-04-29 | 42 | 862cfdf610525383d0694fa81fe395c9 | Hombre | 2012-10-04 | 2013-01-23 | PG-PAB | Si | |
| 79,600 | 2,015 | ORPE2**071975 | 1975-07-31 | 44 | 86336bb5bb11a730008514dd3ed8690d | Mujer | 2015-07-20 | 2015-08-27 | PG-PAI | Si | |
| 29,090 | 2,012 | ORPE2**071974 | 1974-07-31 | 45 | 86336bb5bb11a730008514dd3ed8690d | Mujer | 2012-06-05 | 2013-01-28 | PG-PAB | Si | |
| 130,850 | 2,018 | PAAV2**101997 | 1997-10-19 | 22 | 865d8750fff6ca0711f52527bcd70b96 | NA | Mujer | 2017-10-31 | 2018-07-02 | PG-PAI | Si |
| 52,771 | 2,014 | PAAV2**101977 | 1977-10-19 | 42 | 865d8750fff6ca0711f52527bcd70b96 | Mujer | 2013-12-04 | 2014-02-28 | PG-PAB | Si | |
| 29,912 | 2,012 | PAAV2**101977 | 1977-10-19 | 42 | 865d8750fff6ca0711f52527bcd70b96 | Mujer | 2012-08-27 | 2012-11-12 | PG-PAI | Si | |
| 36,446 | 2,013 | CRCO1**051979 | 1979-05-23 | 40 | 8674147dacd409cadae927788a76ddb8 | Hombre | 2012-11-01 | 2013-03-28 | PG-PAI | Si | |
| 31,424 | 2,012 | CRCO1**051993 | 1993-05-23 | 26 | 8674147dacd409cadae927788a76ddb8 | Hombre | 2012-11-01 | 2012-12-31 | PG-PAI | Si | |
| 37,076 | 2,013 | YEMA1**021994 | 1994-02-04 | 25 | 8726256265d84df49249e0f0b26f195e | Hombre | 2013-01-08 | 2013-03-01 | PG-PAI | Si | |
| 16,664 | 2,011 | YEMA1**091984 | 1984-09-13 | 35 | 8726256265d84df49249e0f0b26f195e | Hombre | 2011-05-02 | 2011-07-14 | PG-PAI | Si | |
| 5,598 | 2,010 | YEMA2**091984 | 1984-09-13 | 35 | 8726256265d84df49249e0f0b26f195e | Mujer | 2010-05-28 | 2010-10-29 | PG-PAI | Si | |
| 111,932 | 2,017 | TAVA2**081971 | 1971-08-20 | 48 | 8757f231ddf4793554c903b4731eaf15 | NA | Mujer | 2017-01-03 | 2017-07-11 | M-PAI | Si |
| 103,425 | 2,016 | TAVA2**081961 | 1961-08-20 | 58 | 8757f231ddf4793554c903b4731eaf15 | Mujer | 2016-10-20 | 2016-12-20 | PG-PR | Si | |
| 100,630 | 2,016 | TAVA2**081971 | 1971-08-20 | 48 | 8757f231ddf4793554c903b4731eaf15 | Mujer | 2016-07-01 | 2016-10-19 | PG-PAB | Si | |
| 87,068 | 2,016 | TAVA2**081971 | 1971-08-20 | 48 | 8757f231ddf4793554c903b4731eaf15 | Mujer | 2015-04-16 | 2016-04-25 | M-PR | Si | |
| 46,078 | 2,013 | MABO2**091979 | 1979-09-20 | 40 | 879a19a32a5259edb6cae9fe888baf64 | Mujer | 2013-10-14 | 2013-11-29 | M-PR | Si | |
| 18,411 | 2,011 | MABO2**121979 | 1979-12-12 | 39 | 879a19a32a5259edb6cae9fe888baf64 | Mujer | 2011-09-14 | 2011-12-01 | PG-PAB | Si | |
| 148,119 | 2,019 | RABU1**091994 | 1994-09-27 | 25 | 87efaabac9feb3e3c0be83d46594c409 | NA | Hombre | 2018-07-04 | 2019-03-20 | PG-PAB | Si |
| 131,605 | 2,018 | RABU1**091999 | 1999-09-27 | 20 | 87efaabac9feb3e3c0be83d46594c409 | NA | Hombre | 2017-12-04 | 2018-03-05 | PG-PAB | No |
| 77,383 | 2,015 | RABU1**091994 | 1994-09-27 | 25 | 87efaabac9feb3e3c0be83d46594c409 | Hombre | 2015-06-02 | 2015-12-15 | PG-PAB | Si | |
| 153,197 | 2,019 | CRAL1**111987 | 1987-11-07 | 32 | 87f18cb238fda1c0bbe92395f9b252d1 | NA | Hombre | 2019-01-11 | NA | PG-PR | Si |
| 79,459 | 2,015 | CRAL1**111987 | 1987-11-07 | 31 | 87f18cb238fda1c0bbe92395f9b252d1 | Hombre | 2015-07-28 | 2015-08-21 | PG-PR | Si | |
| 48,629 | 2,014 | CRAL1**111987 | 1987-11-11 | 31 | 87f18cb238fda1c0bbe92395f9b252d1 | Hombre | 2013-03-15 | 2014-03-19 | PG-PR | Si | |
| 141,563 | 2,018 | HURO1**041975 | 1975-04-28 | 44 | 880b8ef593c93590de005b78490801da | NA | Hombre | 2018-08-13 | 2018-12-20 | PG-PAI | Si |
| 32,237 | 2,013 | HURO1**041976 | 1976-04-28 | 43 | 880b8ef593c93590de005b78490801da | Hombre | 2011-08-29 | 2013-08-20 | PG-PAI | Si | |
| 87,132 | 2,016 | JOTO1**081978 | 1978-08-24 | 41 | 880bd5b87071a6c084ca6c129ba70010 | Hombre | 2015-04-20 | 2016-11-14 | PG-PAI | Si | |
| 65,017 | 2,014 | JOTO1**081972 | 1972-08-24 | 47 | 880bd5b87071a6c084ca6c129ba70010 | Hombre | 2014-12-16 | 2015-01-09 | PG-PAI | Si | |
| 114,411 | 2,017 | JOCI1**051993 | 1993-05-21 | 26 | 8885d3e3f457e4842b0f18951590bf14 | NA | Hombre | 2017-03-13 | 2017-08-30 | PG-PAB | Si |
| 59,086 | 2,014 | JOCI1**051983 | 1983-05-21 | 36 | 8885d3e3f457e4842b0f18951590bf14 | Hombre | 2014-06-30 | 2015-02-04 | PG-PAB | Si | |
| 33,203 | 2,013 | JOCI1**051983 | 1983-05-21 | 36 | 8885d3e3f457e4842b0f18951590bf14 | Hombre | 2012-06-12 | 2013-05-07 | PG-PAB | Si | |
| 24,148 | 2,012 | VICA1**021977 | 1977-02-01 | 42 | 88aeb00e9bce5906701ec06a3c219771 | Hombre | 2012-01-30 | 2012-11-30 | PG-PAI | Si | |
| 14,036 | 2,011 | VICA1**021975 | 1975-02-01 | 44 | 88aeb00e9bce5906701ec06a3c219771 | Hombre | 2011-02-10 | 2011-04-26 | PG-PAI | Si | |
| 93,184 | 2,016 | SABA2**011996 | 1996-01-02 | 23 | 88b8e9880d4eb0de0f2f844e80c4d0d5 | Mujer | 2016-01-30 | 2016-08-27 | PG-PAB | Si | |
| 36,480 | 2,013 | SABA2**111976 | 1976-11-02 | 43 | 88b8e9880d4eb0de0f2f844e80c4d0d5 | Mujer | 2013-01-02 | 2014-01-02 | PG-PAB | Si | |
| 106,296 | 2,017 | CIBI1**111953 | 1953-11-05 | 66 | 8908871912b72c6e9d1a4ac1378956da | NA | Hombre | 2016-01-04 | 2017-02-01 | PG-PAI | Si |
| 77,042 | 2,015 | CIBI1**111953 | 1953-11-15 | 65 | 8908871912b72c6e9d1a4ac1378956da | Hombre | 2015-05-26 | 2016-01-01 | PG-PAB | Si | |
| 95,960 | 2,016 | SATO1**031996 | 1996-03-07 | 23 | 891b060f5c97fed92c0b29a96ce41130 | Hombre | 2016-04-21 | 2016-11-30 | PG-PAB | No | |
| 45,005 | 2,013 | SATO1**051987 | 1987-05-21 | 32 | 891b060f5c97fed92c0b29a96ce41130 | Hombre | 2013-10-01 | 2014-03-25 | PG-PAB | Si | |
| 41,868 | 2,013 | MAAR1**011975 | 1975-01-09 | 44 | 89330775e65bde866816f203ae2e069f | Hombre | 2013-07-15 | 2013-09-09 | PG-PAI | Si | |
| 40,368 | 2,013 | MAAR1**011994 | 1994-01-09 | 25 | 89330775e65bde866816f203ae2e069f | Hombre | 2013-05-24 | 2013-07-15 | PG-PAB | Si | |
| 160,348 | 2,019 | MAZU1**071982 | 1982-07-18 | 37 | 8986d5a0c48569dfe6b8e041b4ff9a73 | NA | Hombre | 2019-08-13 | 2019-10-11 | PG-PR | Si |
| 159,193 | 2,019 | MAZU1**071980 | 1980-07-18 | 39 | 8986d5a0c48569dfe6b8e041b4ff9a73 | NA | Hombre | 2019-07-01 | 2019-08-12 | PG-PAI | Si |
| 84,117 | 2,015 | MAZU1**071982 | 1982-07-18 | 37 | 8986d5a0c48569dfe6b8e041b4ff9a73 | Hombre | 2015-10-26 | 2016-01-01 | PG-PAI | Si | |
| 81,322 | 2,015 | MAZU1**071982 | 1982-07-18 | 37 | 8986d5a0c48569dfe6b8e041b4ff9a73 | Hombre | 2015-09-02 | 2015-11-04 | PG-PAB | Si | |
| 36,049 | 2,013 | EDAR1**111980 | 1980-11-11 | 38 | 899145d4e6d8989d7de8c70919ddf64f | Hombre | 2013-01-01 | 2014-08-01 | Otro | No | |
| 21,639 | 2,012 | EDAR1**111980 | 1980-11-03 | 39 | 899145d4e6d8989d7de8c70919ddf64f | Hombre | 2011-06-01 | 2012-04-02 | PG-PAI | Si | |
| 147,590 | 2,019 | LURA1**111951 | 1951-11-13 | 68 | 89a6010471b72de92a5b55c049b2cc7b | NA | Hombre | 2018-04-16 | 2019-01-09 | PG-PAI | Si |
| 34,573 | 2,013 | LURA1**111951 | 1951-11-13 | 67 | 89a6010471b72de92a5b55c049b2cc7b | Hombre | 2012-10-24 | 2013-07-17 | PG-PAI | Si | |
| 100,869 | 2,016 | JERO2**121964 | 1964-12-09 | 54 | 89de8046f2d77738ff27b5c5b2e3ccf0 | Mujer | 2016-08-25 | 2016-10-01 | M-PAI | Si | |
| 73,118 | 2,015 | JERO2**121969 | 1969-12-09 | 49 | 89de8046f2d77738ff27b5c5b2e3ccf0 | Mujer | 2015-02-20 | 2015-11-02 | M-PAI | Si | |
| 69,132 | 2,015 | JERO2**121964 | 1964-12-09 | 54 | 89de8046f2d77738ff27b5c5b2e3ccf0 | Mujer | 2014-10-15 | 2015-02-03 | PG-PAI | Si | |
| 52,352 | 2,014 | JERO2**121969 | 1969-12-09 | 49 | 89de8046f2d77738ff27b5c5b2e3ccf0 | Mujer | 2013-10-29 | 2014-06-02 | PG-PAI | Si | |
| 118,436 | 2,017 | JOAH1**111992 | 1992-11-05 | 27 | 89f1d151b9185e1d474c86dd6b147378 | NA | Hombre | 2017-06-01 | 2017-11-01 | PG-PAB | Si |
| 63,644 | 2,014 | JOAH1**111992 | 1992-11-08 | 26 | 89f1d151b9185e1d474c86dd6b147378 | Hombre | 2014-10-16 | 2014-11-12 | PG-PR | Si | |
| 129,888 | 2,018 | MAGU1**101988 | 1988-10-18 | 31 | 89f62bfdac85416857926ed9c82fb033 | NA | Hombre | 2017-07-26 | 2018-03-30 | PG-PAI | Si |
| 111,594 | 2,017 | MAGU1**101968 | 1968-10-18 | 51 | 89f62bfdac85416857926ed9c82fb033 | NA | Hombre | 2017-01-11 | 2017-07-21 | PG-PAI | Si |
| 162,247 | 2,019 | ROVI1**011984 | 1984-01-22 | 35 | 89f84dd885338483ef055db7bc74b150 | NA | Hombre | 2019-10-01 | NA | PG-PAI | Si |
| 152,017 | 2,019 | ROVI1**011984 | 1984-01-22 | 35 | 89f84dd885338483ef055db7bc74b150 | NA | Hombre | 2019-01-02 | 2019-04-30 | PG-PAI | Si |
| 112,647 | 2,017 | ROVI1**011984 | 1984-01-22 | 35 | 89f84dd885338483ef055db7bc74b150 | NA | Hombre | 2017-01-11 | 2017-07-01 | PG-PAI | Si |
| 79,760 | 2,015 | ROVI1**011989 | 1989-01-22 | 30 | 89f84dd885338483ef055db7bc74b150 | Hombre | 2015-07-09 | 2015-09-28 | PG-PAB | Si | |
| 153,588 | 2,019 | HURO1**111971 | 1971-11-17 | 47 | 8a2deaa283c91386186637ca7b3857d4 | NA | Hombre | 2019-02-15 | 2019-05-15 | PG-PAB | Si |
| 129,728 | 2,018 | HURO1**111972 | 1972-11-17 | 46 | 8a2deaa283c91386186637ca7b3857d4 | NA | Hombre | 2017-09-14 | 2018-05-17 | PG-PAB | Si |
| 163,007 | 2,019 | BALE1**021989 | 1989-02-12 | 30 | 8abd86772a97e2294eefcbe98d4fe087 | NA | Hombre | 2019-10-01 | NA | PG-PAI | Si |
| 80,469 | 2,015 | BALE1**121989 | 1989-12-02 | 29 | 8abd86772a97e2294eefcbe98d4fe087 | Hombre | 2015-07-01 | 2015-10-01 | PG-PAI | Si | |
| 49,486 | 2,014 | BALE1**021989 | 1989-02-12 | 30 | 8abd86772a97e2294eefcbe98d4fe087 | Hombre | 2013-06-03 | 2014-01-31 | PG-PAB | Si | |
| 12,273 | 2,011 | HEPI1**121982 | 1982-12-31 | 36 | 8af7ac34df3a2c765dc67e0d3516216d | Hombre | 2010-10-14 | 2011-03-03 | PG-PAB | Si | |
| 4,232 | 2,010 | HEPI1**011982 | 1982-01-31 | 37 | 8af7ac34df3a2c765dc67e0d3516216d | Hombre | 2010-03-11 | 2010-05-31 | PG-PAB | Si | |
| 72,316 | 2,015 | PAGO1**111985 | 1985-11-05 | 34 | 8b0446b7ce0371bc777ce7c86f8eebd9 | Hombre | 2014-10-16 | 2015-08-12 | PG-PAI | Si | |
| 61,829 | 2,014 | PAGO1**111989 | 1989-11-05 | 30 | 8b0446b7ce0371bc777ce7c86f8eebd9 | Hombre | 2014-08-12 | 2014-12-01 | PG-PAB | Si | |
| 42,158 | 2,013 | PAGO1**111989 | 1989-11-05 | 30 | 8b0446b7ce0371bc777ce7c86f8eebd9 | Hombre | 2013-07-08 | 2014-07-30 | PG-PAB | Si | |
| 161,291 | 2,019 | NAGA2**111985 | 1985-11-07 | 34 | 8b2b3cd05b8247f728afce208e580642 | NA | Mujer | 2019-08-29 | NA | M-PAI | Si |
| 71,641 | 2,015 | NAGA2**111985 | 1985-11-11 | 33 | 8b2b3cd05b8247f728afce208e580642 | Mujer | 2014-12-29 | 2015-04-24 | M-PAI | Si | |
| 158,992 | 2,019 | ANLI1**111986 | 1986-11-10 | 33 | 8b3123c463211b298aacb910d6491e3c | NA | Hombre | 2019-07-02 | NA | PG-PR | Si |
| 46,688 | 2,013 | ANLI1**111966 | 1966-11-03 | 53 | 8b3123c463211b298aacb910d6491e3c | Hombre | 2013-11-04 | 2013-12-31 | PG-PAI | Si | |
| 24,041 | 2,012 | ANLI1**111986 | 1986-11-10 | 32 | 8b3123c463211b298aacb910d6491e3c | Hombre | 2012-01-16 | 2012-02-28 | PG-PAI | Si | |
| 16,013 | 2,011 | ANEN1**111986 | 1986-11-10 | 32 | 8b3123c463211b298aacb910d6491e3c | Hombre | 2011-05-25 | 2011-06-21 | PG-PAI | Si | |
| 120,139 | 2,017 | MICA1**091991 | 1991-09-09 | 28 | 8b88b2aa718344659aab7f8bf71e8942 | NA | Hombre | 2017-07-31 | 2017-11-01 | PG-PAB | Si |
| 50,015 | 2,014 | MICA1**091981 | 1981-09-09 | 38 | 8b88b2aa718344659aab7f8bf71e8942 | Hombre | 2013-07-18 | 2014-05-16 | PG-PAB | Si | |
| 53,348 | 2,014 | DASO1**071982 | 1982-07-22 | 37 | 8b939c5a0d211d894ad5636526e80134 | Hombre | 2014-01-20 | 2014-09-05 | PG-PR | Si | |
| 13,528 | 2,011 | DASO1**071981 | 1981-07-22 | 38 | 8b939c5a0d211d894ad5636526e80134 | Hombre | 2011-02-07 | 2011-09-10 | PG-PR | Si | |
| 150,567 | 2,019 | MIPE1**041983 | 1983-04-19 | 36 | 8b9be11632bc73ec04e5cb50745ebb7f | NA | Hombre | 2018-11-19 | 2019-06-28 | PG-PAI | Si |
| 68,010 | 2,015 | MIPE1**041983 | 1983-04-19 | 36 | 8b9be11632bc73ec04e5cb50745ebb7f | Hombre | 2014-07-04 | 2015-11-04 | PG-PAI | Si | |
| 19,197 | 2,011 | MIPE1**041983 | 1983-04-19 | 36 | 8b9be11632bc73ec04e5cb50745ebb7f | Hombre | 2011-10-21 | 2011-12-16 | PG-PR | Si | |
| 1,566 | 2,010 | MIPE1**041981 | 1981-04-19 | 38 | 8b9be11632bc73ec04e5cb50745ebb7f | Hombre | 2009-08-12 | 2010-03-06 | PG-PR | Si | |
| 36,883 | 2,013 | JOPE1**111991 | 1991-11-02 | 28 | 8b9c1413c353a32e7f1e302eb34601e6 | Hombre | 2013-02-15 | 2013-09-04 | PG-PAI | Si | |
| 31,412 | 2,012 | JOPE1**111991 | 1991-11-22 | 27 | 8b9c1413c353a32e7f1e302eb34601e6 | Hombre | 2012-11-22 | 2012-12-12 | PG-PR | Si | |
| 43,806 | 2,013 | SAVA2**101993 | 1993-10-06 | 26 | 8c79a3d2f65922210fa3c0791360bc21 | Mujer | 2013-08-30 | 2013-10-30 | PG-PAB | Si | |
| 10,825 | 2,011 | SAVA2**101969 | 1969-10-06 | 50 | 8c79a3d2f65922210fa3c0791360bc21 | Mujer | 2010-07-19 | 2011-03-31 | PG-PAB | Si | |
| 18,051 | 2,011 | SELU1**091982 | 1982-09-08 | 37 | 8c9998b704bd99e85c3c05d901f9b100 | Hombre | 2011-08-02 | 2011-10-10 | PG-PAI | Si | |
| 5,302 | 2,010 | SELU1**041991 | 1991-04-16 | 28 | 8c9998b704bd99e85c3c05d901f9b100 | Hombre | 2010-05-16 | 2010-09-21 | PG-PAB | Si | |
| 38,734 | 2,013 | JUFL1**101979 | 1979-10-12 | 40 | 8c9c9ccd33895ec600f987a448281ef5 | Hombre | 2013-04-19 | 2013-07-01 | PG-PAI | Si | |
| 34,439 | 2,013 | JUFL2**101978 | 1978-10-12 | 41 | 8c9c9ccd33895ec600f987a448281ef5 | Mujer | 2012-10-01 | 2013-03-23 | PG-PR | Si | |
| 24,636 | 2,012 | JUFL1**101979 | 1979-10-12 | 40 | 8c9c9ccd33895ec600f987a448281ef5 | Hombre | 2011-12-27 | 2012-08-06 | PG-PAI | Si | |
| 10,799 | 2,011 | JUFL1**101979 | 1979-10-12 | 40 | 8c9c9ccd33895ec600f987a448281ef5 | Hombre | 2010-07-09 | 2011-01-06 | PG-PR | Si | |
| 158,999 | 2,019 | JUPE1**041966 | 1966-04-27 | 53 | 8ce296ee7fb3d41201519eb29dfe0b81 | NA | Hombre | 2019-06-20 | NA | PG-PAI | No |
| 71,402 | 2,015 | JUPE1**041960 | 1960-04-27 | 59 | 8ce296ee7fb3d41201519eb29dfe0b81 | Hombre | 2015-01-09 | 2015-06-26 | PG-PAI | Si | |
| 50,003 | 2,014 | GERO1**091979 | 1979-09-11 | 40 | 8cea88fbe2365961b8ff7a439f83acd3 | Hombre | 2013-05-09 | 2014-03-31 | PG-PAI | Si | |
| 23,129 | 2,012 | GERO1**111979 | 1979-11-11 | 39 | 8cea88fbe2365961b8ff7a439f83acd3 | Hombre | 2011-11-30 | 2012-01-30 | PG-PR | Si | |
| 74,652 | 2,015 | JUSE1**051989 | 1989-05-12 | 30 | 8cfdf701e1e45c7a4ed9c0084244d760 | Hombre | 2015-04-01 | 2015-09-01 | PG-PAI | Si | |
| 22,089 | 2,012 | JUSE1**051985 | 1985-05-12 | 34 | 8cfdf701e1e45c7a4ed9c0084244d760 | Hombre | 2011-08-10 | 2012-03-28 | PG-PAI | Si | |
| 26,340 | 2,012 | LUDI1**071968 | 1968-07-21 | 51 | 8d3868f12695dccd5822f6be067e9304 | Hombre | 2011-05-06 | 2012-10-31 | PG-PAI | Si | |
| 16,907 | 2,011 | LUDI1**071978 | 1978-07-21 | 41 | 8d3868f12695dccd5822f6be067e9304 | Hombre | 2011-05-05 | 2011-08-31 | PG-PAI | Si | |
| 140,335 | 2,018 | JOSA1**111981 | 1981-11-01 | 38 | 8d97c28a102887e15b5d4256c380a6f0 | NA | Hombre | 2018-07-09 | 2018-10-30 | PG-PAI | Si |
| 48,041 | 2,014 | JOSA1**111981 | 1981-11-11 | 37 | 8d97c28a102887e15b5d4256c380a6f0 | Hombre | 2012-11-08 | 2014-08-01 | PG-PAB | Si | |
| 158,179 | 2,019 | MALA2**121974 | 1974-12-24 | 44 | 8da8f3c2c68f113344083dbdcd7d3887 | NA | Mujer | 2019-06-17 | NA | PG-PAI | Si |
| 152,918 | 2,019 | MALA2**121974 | 1974-12-24 | 44 | 8da8f3c2c68f113344083dbdcd7d3887 | NA | Mujer | 2019-01-16 | 2019-06-13 | M-PR | Si |
| 473 | 2,010 | MALA2**121973 | 1973-12-04 | 45 | 8da8f3c2c68f113344083dbdcd7d3887 | Mujer | 2009-12-07 | 2010-12-22 | PG-PAI | Si | |
| 161,267 | 2,019 | STRO2**111988 | 1988-11-13 | 31 | 8deac2a034cbef01498569ae00444d00 | NA | Mujer | 2019-08-26 | NA | PG-PAI | Si |
| 131,970 | 2,018 | STRO2**111988 | 1988-11-13 | 30 | 8deac2a034cbef01498569ae00444d00 | NA | Mujer | 2017-12-15 | 2018-04-26 | M-PR | Si |
| 124,393 | 2,017 | STRO2**111988 | 1988-11-13 | 30 | 8deac2a034cbef01498569ae00444d00 | NA | Mujer | 2017-11-02 | 2017-12-14 | PG-PAI | Si |
| 125,165 | 2,017 | ROCA1**071975 | 1975-07-15 | 44 | 8df628979a3ba1d6cf468d49a07446ee | NA | Hombre | 2017-12-01 | 2018-02-01 | PG-PAI | Si |
| 121,499 | 2,017 | ROCA1**071976 | 1976-07-15 | 43 | 8df628979a3ba1d6cf468d49a07446ee | NA | Hombre | 2017-08-31 | 2017-11-13 | PG-PR | Si |
| 120,515 | 2,017 | ROCA1**071976 | 1976-07-15 | 43 | 8df628979a3ba1d6cf468d49a07446ee | NA | Hombre | 2017-07-25 | 2017-08-30 | PG-PAI | Si |
| 26,652 | 2,012 | RIAR1**041982 | 1982-04-29 | 37 | 8df6ee9fc39eed04d797ef6405c283b9 | Hombre | 2012-04-16 | 2012-06-28 | PG-PAI | Si | |
| 23,789 | 2,012 | RIAR1**041982 | 1982-04-29 | 37 | 8df6ee9fc39eed04d797ef6405c283b9 | Hombre | 2012-01-09 | 2012-04-11 | PG-PR | Si | |
| 20,188 | 2,011 | RIAR1**041992 | 1992-04-29 | 27 | 8df6ee9fc39eed04d797ef6405c283b9 | Hombre | 2011-10-24 | 2012-01-02 | PG-PAI | Si | |
| 135,379 | 2,018 | ERHE1**081962 | 1962-08-20 | 57 | 8e76d2860ca7e90f9aef0bacbefc2e28 | NA | Hombre | 2018-03-01 | 2018-07-02 | PG-PAI | Si |
| 129,195 | 2,018 | ERHE1**081963 | 1963-08-20 | 56 | 8e76d2860ca7e90f9aef0bacbefc2e28 | NA | Hombre | 2017-07-17 | 2018-02-01 | PG-PAB | Si |
| 83,958 | 2,015 | PAMI1**071968 | 1968-07-09 | 51 | 8eb218621fa6f7f6e2537a0c533170f1 | Hombre | 2015-11-10 | 2015-12-21 | PG-PR | Si | |
| 81,879 | 2,015 | PAMI1**071948 | 1948-07-07 | 71 | 8eb218621fa6f7f6e2537a0c533170f1 | Hombre | 2015-09-22 | 2015-11-24 | PG-PAI | Si | |
| 78,294 | 2,015 | PAMI1**071948 | 1948-07-18 | 71 | 8eb218621fa6f7f6e2537a0c533170f1 | Hombre | 2015-06-10 | 2015-08-25 | PG-PAI | Si | |
| 52,968 | 2,014 | PAMI1**071968 | 1968-07-09 | 51 | 8eb218621fa6f7f6e2537a0c533170f1 | Hombre | 2013-12-26 | 2014-02-27 | PG-PAI | Si | |
| 87,929 | 2,016 | OSFL1**021966 | 1966-02-08 | 53 | 8f067e24e7edd6f34a3ff722ce5c5ab3 | Hombre | 2015-06-03 | 2016-01-15 | PG-PR | Si | |
| 67,188 | 2,015 | OSFL1**021976 | 1976-02-08 | 43 | 8f067e24e7edd6f34a3ff722ce5c5ab3 | Hombre | 2014-05-30 | 2015-05-28 | PG-PAI | Si | |
| 138,552 | 2,018 | JURA1**121981 | 1981-12-25 | 37 | 8f0ab17d09bf9c70ca43a60100d86289 | NA | Hombre | 2018-04-03 | 2018-08-01 | PG-PAB | Si |
| 76,582 | 2,015 | JURA1**091981 | 1981-09-25 | 38 | 8f0ab17d09bf9c70ca43a60100d86289 | Hombre | 2015-05-01 | 2015-11-24 | PG-PAB | Si | |
| 27,108 | 2,012 | EDCA1**051978 | 1978-05-09 | 41 | 8f146298b3ba67104c518e9a71a91099 | Hombre | 2012-05-25 | 2012-06-30 | PG-PAI | Si | |
| 24,142 | 2,012 | EDCA1**061974 | 1974-06-03 | 45 | 8f146298b3ba67104c518e9a71a91099 | Hombre | 2012-01-02 | 2012-03-30 | PG-PAI | Si | |
| 66,114 | 2,015 | DABE1**041983 | 1983-04-06 | 36 | 8f507441a266ca342455f4ecc33f4a3f | Hombre | 2013-12-06 | 2015-05-04 | PG-PAI | Si | |
| 37,043 | 2,013 | DABE1**041993 | 1993-04-06 | 26 | 8f507441a266ca342455f4ecc33f4a3f | Hombre | 2012-12-19 | 2013-07-01 | PG-PAI | Si | |
| 51,727 | 2,014 | MIUR1**121976 | 1976-12-20 | 42 | 8fdc6ee5249b68449d4744a3e3aa9199 | Hombre | 2013-10-29 | 2014-02-28 | PG-PAI | Si | |
| 32,243 | 2,013 | MIUR1**121977 | 1977-12-12 | 41 | 8fdc6ee5249b68449d4744a3e3aa9199 | Hombre | 2011-08-31 | 2013-06-27 | PG-PAI | Si | |
| 21,062 | 2,012 | SOAR2**111977 | 1977-11-21 | 41 | 8ffd8a1d4dd743dd4e7dd9f4c8759e4f | Mujer | 2011-03-01 | 2012-02-16 | M-PR | Si | |
| 11,191 | 2,011 | SOAR2**091977 | 1977-09-21 | 42 | 8ffd8a1d4dd743dd4e7dd9f4c8759e4f | Mujer | 2010-08-12 | 2011-03-03 | PG-PAI | Si | |
| 57,239 | 2,014 | JULA1**031969 | 1969-03-29 | 50 | 9026885f260654e17f28ce5104ef08e6 | Hombre | 2014-04-28 | 2014-08-14 | PG-PAB | Si | |
| 41,269 | 2,013 | JULA1**031970 | 1970-03-28 | 49 | 9026885f260654e17f28ce5104ef08e6 | Hombre | 2013-06-03 | 2013-09-27 | PG-PAB | Si | |
| 129,205 | 2,018 | SHNO1**061990 | 1990-06-12 | 29 | 90269c7fe3d91ad8122f5a2dbdebbf9d | NA | Hombre | 2017-09-01 | 2018-08-31 | PG-PAB | Si |
| 109,239 | 2,017 | SHNO2**061996 | 1996-06-12 | 23 | 90269c7fe3d91ad8122f5a2dbdebbf9d | NA | Mujer | 2016-09-01 | 2017-05-30 | PG-PAB | Si |
| 30,814 | 2,012 | JOSA1**051985 | 1985-05-30 | 34 | 90432776067ec00996da9a4f0b254772 | Hombre | 2012-10-12 | 2013-01-29 | PG-PAB | Si | |
| 16,748 | 2,011 | JOSA1**051982 | 1982-05-30 | 37 | 90432776067ec00996da9a4f0b254772 | Hombre | 2011-02-11 | 2011-09-06 | PG-PAB | Si | |
| 12,872 | 2,011 | GUOL1**081991 | 1991-08-19 | 28 | 906554f396c72cea82f006e63bc4b9b8 | Hombre | 2010-09-27 | 2011-04-26 | PG-PR | Si | |
| 6,352 | 2,010 | GUOL1**081984 | 1984-08-19 | 35 | 906554f396c72cea82f006e63bc4b9b8 | Hombre | 2010-04-22 | 2010-09-01 | PG-PAI | Si | |
| 55,849 | 2,014 | MAHU2**101992 | 1992-10-12 | 27 | 907e85236bd590e53cfc5556b9875e77 | Mujer | 2014-03-04 | 2014-04-10 | M-PR | Si | |
| 44,527 | 2,013 | MAHU2**101982 | 1982-10-12 | 37 | 907e85236bd590e53cfc5556b9875e77 | Mujer | 2013-09-05 | 2013-10-27 | M-PR | Si | |
| 41,096 | 2,013 | MAHU2**061994 | 1994-06-01 | 25 | 907e85236bd590e53cfc5556b9875e77 | Mujer | 2013-06-01 | 2013-08-23 | M-PAI | Si | |
| 38,172 | 2,013 | MAHU2**101992 | 1992-10-12 | 27 | 907e85236bd590e53cfc5556b9875e77 | Mujer | 2013-03-01 | 2013-05-30 | M-PAI | Si | |
| 54,554 | 2,014 | ALQU1**041973 | 1973-04-20 | 46 | 90c5d9af89683624bd05cc802f0456ab | Hombre | 2014-01-20 | 2014-06-12 | PG-PAB | No | |
| 36,892 | 2,013 | ALQU1**041953 | 1953-04-20 | 66 | 90c5d9af89683624bd05cc802f0456ab | Hombre | 2013-02-14 | 2013-07-26 | PG-PAB | No | |
| 97,032 | 2,016 | CAPI1**081981 | 1981-08-21 | 38 | 90d25e17efd5a1c4ac6086b2a1f1afbc | Hombre | 2016-04-19 | 2016-09-28 | PG-PAB | Si | |
| 44,250 | 2,013 | CAPI1**081989 | 1989-08-21 | 30 | 90d25e17efd5a1c4ac6086b2a1f1afbc | Hombre | 2013-09-24 | 2013-10-30 | PG-PAI | Si | |
| 107,392 | 2,017 | LURO1**111982 | 1982-11-25 | 36 | 910579823dca11a209c3fed7af813ca6 | NA | Hombre | 2016-05-27 | 2017-01-30 | PG-PR | Si |
| 70,483 | 2,015 | LURO1**111983 | 1983-11-25 | 35 | 910579823dca11a209c3fed7af813ca6 | Hombre | 2014-12-11 | 2015-03-11 | PG-PAI | Si | |
| 38,835 | 2,013 | LURO1**111982 | 1982-11-25 | 36 | 910579823dca11a209c3fed7af813ca6 | Hombre | 2013-04-29 | 2013-06-03 | PG-PAI | Si | |
| 12,336 | 2,011 | LURO1**111982 | 1982-11-25 | 36 | 910579823dca11a209c3fed7af813ca6 | Hombre | 2010-12-15 | 2011-02-15 | PG-PR | Si | |
| 8,806 | 2,010 | LURO1**111982 | 1982-11-25 | 36 | 910579823dca11a209c3fed7af813ca6 | Hombre | 2010-10-06 | 2010-11-22 | PG-PAI | Si | |
| 154,041 | 2,019 | ROSO1**071951 | 1951-07-05 | 68 | 9118d5c3bc3d5ed4d2e48fb2422c4e90 | NA | Hombre | 2019-02-19 | NA | PG-PAI | Si |
| 109,356 | 2,017 | ROSO1**071951 | 1951-07-05 | 68 | 9118d5c3bc3d5ed4d2e48fb2422c4e90 | NA | Hombre | 2016-07-28 | 2017-06-27 | PG-PAB | Si |
| 92,684 | 2,016 | ROSO1**071951 | 1951-07-05 | 68 | 9118d5c3bc3d5ed4d2e48fb2422c4e90 | Hombre | 2016-01-02 | 2016-07-27 | PG-PR | Si | |
| 74,329 | 2,015 | ROSO1**031952 | 1952-03-06 | 67 | 9118d5c3bc3d5ed4d2e48fb2422c4e90 | Hombre | 2015-02-13 | 2016-01-01 | PG-PAB | Si | |
| 14,228 | 2,011 | ROSO1**071951 | 1951-07-05 | 68 | 9118d5c3bc3d5ed4d2e48fb2422c4e90 | Hombre | 2010-10-20 | 2011-10-03 | PG-PAI | Si | |
| 51,745 | 2,014 | CRHE1**091977 | 1977-09-14 | 42 | 913f04c7f20f51e199c3282a4ffd72bd | Hombre | 2013-11-11 | 2014-04-28 | PG-PAB | Si | |
| 3,913 | 2,010 | CRHE1**011973 | 1973-01-27 | 46 | 913f04c7f20f51e199c3282a4ffd72bd | Hombre | 2010-03-22 | 2010-05-26 | PG-PAB | Si | |
| 140,724 | 2,018 | ARCA1**042000 | 2000-04-03 | 19 | 913f4c1fcfd5a1805eadddefadb6935a | NA | Hombre | 2018-08-07 | 2018-12-12 | PG-PAI | Si |
| 135,797 | 2,018 | ARCA1**041989 | 1989-04-03 | 30 | 913f4c1fcfd5a1805eadddefadb6935a | NA | Hombre | 2018-03-27 | 2018-07-18 | PG-PAI | Si |
| 53,677 | 2,014 | VIRI1**051989 | 1989-05-05 | 30 | 9155114c1bcfe7d222cb5e8728b8aedd | Hombre | 2013-07-22 | 2014-01-22 | PG-PAB | Si | |
| 42,627 | 2,013 | VIRI1**051984 | 1984-05-05 | 35 | 9155114c1bcfe7d222cb5e8728b8aedd | Hombre | 2013-07-22 | 2014-01-29 | PG-PAB | Si | |
| 153,742 | 2,019 | JUPI1**041986 | 1986-04-29 | 33 | 9197b8b93db7747462915c6d33a3a88c | NA | Hombre | 2019-01-17 | 2019-07-01 | PG-PAI | Si |
| 149,197 | 2,019 | JUPI1**041986 | 1986-04-29 | 33 | 9197b8b93db7747462915c6d33a3a88c | NA | Hombre | 2018-09-14 | 2019-01-10 | PG-PR | Si |
| 132,772 | 2,018 | JAPI1**041988 | 1988-04-29 | 31 | 9197b8b93db7747462915c6d33a3a88c | NA | Hombre | 2018-01-23 | 2018-05-17 | PG-PAI | Si |
| 100,380 | 2,016 | MAMA1**041975 | 1975-04-09 | 44 | 919f336f95e51d0e918fc47e552cdbf4 | Hombre | 2016-08-02 | 2016-12-13 | PG-PR | Si | |
| 96,246 | 2,016 | MAMA1**041971 | 1971-04-09 | 48 | 919f336f95e51d0e918fc47e552cdbf4 | Hombre | 2016-03-07 | 2016-08-01 | PG-PAI | Si | |
| 7,566 | 2,010 | JUTI1**071982 | 1982-07-09 | 37 | 91d2b53989232617a76554f9df52348c | Hombre | 2010-07-06 | 2011-07-16 | PG-PAI | Si | |
| 6,868 | 2,010 | JUTI1**071981 | 1981-07-09 | 38 | 91d2b53989232617a76554f9df52348c | Hombre | 2010-07-01 | NA | PG-PAI | Si | |
| 149,342 | 2,019 | TEOL2**091965 | 1965-09-06 | 54 | 91e55138a2504223ad84987d2e96f972 | NA | Mujer | 2018-09-10 | 2019-02-06 | PG-PAB | Si |
| 129,188 | 2,018 | TEOL2**121965 | 1965-12-24 | 53 | 91e55138a2504223ad84987d2e96f972 | NA | Mujer | 2017-08-07 | 2018-08-02 | M-PR | Si |
| 91,700 | 2,016 | TEOL2**121965 | 1965-12-24 | 53 | 91e55138a2504223ad84987d2e96f972 | Mujer | 2015-12-15 | 2016-05-23 | M-PR | Si | |
| 126,912 | 2,018 | CEGU1**021981 | 1981-02-21 | 38 | 923255148fa58e243693a0ee233ad716 | NA | Hombre | 2017-03-16 | 2018-09-28 | PG-PAB | Si |
| 33,773 | 2,013 | CEGU1**021980 | 1980-02-21 | 39 | 923255148fa58e243693a0ee233ad716 | Hombre | 2012-08-22 | 2013-06-11 | PG-PAB | Si | |
| 86,654 | 2,016 | IVMA1**021969 | 1969-02-17 | 50 | 92462c404f8bd01020e821e28406548c | Hombre | 2015-03-05 | 2016-06-30 | PG-PAI | Si | |
| 6,587 | 2,010 | IVMA1**021962 | 1962-02-17 | 57 | 92462c404f8bd01020e821e28406548c | Hombre | 2010-07-22 | 2010-12-01 | PG-PR | No | |
| 14,323 | 2,011 | MAIB2**081984 | 1984-08-12 | 35 | 928b073a7c2affa7a755a0a6dda692e0 | Mujer | 2011-02-21 | 2011-06-10 | M-PAI | Si | |
| 8,678 | 2,010 | MAIB2**081974 | 1974-08-12 | 45 | 928b073a7c2affa7a755a0a6dda692e0 | Mujer | 2010-10-12 | 2010-11-05 | M-PR | Si | |
| 2,254 | 2,010 | MAIB2**081974 | 1974-08-12 | 45 | 928b073a7c2affa7a755a0a6dda692e0 | Mujer | 2009-09-01 | 2010-06-29 | M-PR | Si | |
| 160,302 | 2,019 | PAPO2**091969 | 1969-09-19 | 50 | 928ee33bcb4d093f07462391af31b37d | NA | Mujer | 2019-08-05 | NA | PG-PAB | Si |
| 72,371 | 2,015 | PAPO2**091968 | 1968-09-19 | 51 | 928ee33bcb4d093f07462391af31b37d | Mujer | 2014-12-29 | 2015-07-13 | PG-PAB | Si | |
| 98,370 | 2,016 | BOOL1**071981 | 1981-07-06 | 38 | 92bf792ee8df17fcc9279a3550bd687d | Hombre | 2016-06-01 | 2016-08-11 | PG-PR | Si | |
| 86,294 | 2,016 | BOOL1**071987 | 1987-07-06 | 32 | 92bf792ee8df17fcc9279a3550bd687d | Hombre | 2015-01-19 | 2016-01-26 | PG-PR | Si | |
| 67,341 | 2,015 | BOOL1**071981 | 1981-07-06 | 38 | 92bf792ee8df17fcc9279a3550bd687d | Hombre | 2014-06-02 | 2015-01-28 | PG-PAB | Si | |
| 61,640 | 2,014 | JOAC1**111976 | 1976-11-22 | 42 | 92cb229dbd7bf83703e7169027f654e6 | Hombre | 2014-08-01 | 2014-11-25 | PG-PAI | Si | |
| 50,052 | 2,014 | JOAC1**111975 | 1975-11-22 | 43 | 92cb229dbd7bf83703e7169027f654e6 | Hombre | 2013-07-12 | 2014-06-24 | PG-PAI | Si | |
| 10,856 | 2,011 | REGU2**071991 | 1991-07-26 | 28 | 92eeb937e616f54ecf9a2f9551e4e0fe | Mujer | 2010-07-26 | 2011-08-23 | M-PAI | Si | |
| 164 | 2,010 | REGU2**031971 | 1971-03-01 | 48 | 92eeb937e616f54ecf9a2f9551e4e0fe | Mujer | 2009-07-14 | 2010-05-31 | M-PR | Si | |
| 131,512 | 2,018 | ANRI1**061971 | 1971-06-11 | 48 | 9314bb549bc810f7d6f9a8311c9fa358 | NA | Hombre | 2017-12-01 | 2018-06-01 | PG-PAB | Si |
| 112,722 | 2,017 | ANRI1**061969 | 1969-06-11 | 50 | 9314bb549bc810f7d6f9a8311c9fa358 | NA | Hombre | 2017-01-25 | 2017-10-23 | PG-PAB | Si |
| 100,955 | 2,016 | ANRI1**061971 | 1971-06-11 | 48 | 9314bb549bc810f7d6f9a8311c9fa358 | Hombre | 2016-08-14 | 2016-12-13 | PG-PR | Si | |
| 98,512 | 2,016 | ANRI1**061996 | 1996-06-11 | 23 | 9314bb549bc810f7d6f9a8311c9fa358 | Hombre | 2016-06-25 | 2016-08-13 | PG-PAB | Si | |
| 45,207 | 2,013 | ROPE1**061993 | 1993-06-30 | 26 | 934c355eeb9ca45fb4f40190d05da7a7 | Hombre | 2013-10-22 | 2013-11-01 | PG-PAI | Si | |
| 14,173 | 2,011 | ROPE1**011991 | 1991-01-30 | 28 | 934c355eeb9ca45fb4f40190d05da7a7 | Hombre | 2011-02-25 | 2011-04-28 | PG-PAI | Si | |
| 135,034 | 2,018 | JORE2**091986 | 1986-09-13 | 33 | 9353afb480e046e47fd9027d75cbe6a4 | NA | Mujer | 2018-03-22 | 2018-10-02 | M-PAI | Si |
| 120,348 | 2,017 | JORE2**081987 | 1987-08-03 | 32 | 9353afb480e046e47fd9027d75cbe6a4 | NA | Mujer | 2017-08-02 | 2017-08-31 | M-PR | Si |
| 156,583 | 2,019 | ELSI2**061975 | 1975-06-01 | 44 | 9389e541badc7302fcff46b872a6dc2d | NA | Mujer | 2019-04-01 | 2019-08-01 | PG-PAB | Si |
| 151,905 | 2,019 | ELSI2**051979 | 1979-05-02 | 40 | 9389e541badc7302fcff46b872a6dc2d | NA | Mujer | 2019-01-07 | 2019-02-04 | M-PR | Si |
| 93,858 | 2,016 | ELSI2**051979 | 1979-05-02 | 40 | 9389e541badc7302fcff46b872a6dc2d | Mujer | 2015-12-14 | 2016-10-28 | PG-PAB | Si | |
| 28,126 | 2,012 | YA-B1**061993 | 1993-06-30 | 26 | 93c2446bf734ba29905d0c01d4c9fe51 | Hombre | 2012-06-12 | 2012-11-14 | PG-PAB | Si | |
| 23,380 | 2,012 | YABU2**081985 | 1985-08-30 | 34 | 93c2446bf734ba29905d0c01d4c9fe51 | Mujer | 2011-09-13 | 2012-01-31 | PG-PAI | Si | |
| 159,945 | 2,019 | FASA1**061986 | 1986-06-18 | 33 | 93e19b8bc87bb74d24d069ec40d73792 | NA | Hombre | 2019-07-24 | 2019-09-23 | PG-PAB | Si |
| 114,602 | 2,017 | FASA1**061986 | 1986-06-18 | 33 | 93e19b8bc87bb74d24d069ec40d73792 | NA | Hombre | 2017-02-21 | 2017-12-13 | PG-PAB | Si |
| 75,011 | 2,015 | FASA1**061983 | 1983-06-18 | 36 | 93e19b8bc87bb74d24d069ec40d73792 | Hombre | 2015-04-15 | 2015-10-29 | PG-PAB | Si | |
| 112,620 | 2,017 | ISUR2**091957 | 1957-09-16 | 62 | 9444e41312b2a78232871c0afd41a206 | NA | Mujer | 2017-01-19 | 2017-10-30 | M-PAI | Si |
| 86,345 | 2,016 | ISUR2**091957 | 1957-09-16 | 62 | 9444e41312b2a78232871c0afd41a206 | Mujer | 2015-01-16 | 2016-02-19 | M-PR | Si | |
| 53,235 | 2,014 | ISUR2**091957 | 1957-09-16 | 62 | 9444e41312b2a78232871c0afd41a206 | Mujer | 2014-01-07 | 2014-04-18 | M-PAI | Si | |
| 38,086 | 2,013 | ISUR2**031994 | 1994-03-17 | 25 | 9444e41312b2a78232871c0afd41a206 | Mujer | 2013-03-25 | 2013-07-02 | PG-PAI | Si | |
| 121,688 | 2,017 | MAMO1**041973 | 1973-04-06 | 46 | 9452855d36e162173a401415cc0e4139 | NA | Hombre | 2017-09-02 | 2017-12-19 | PG-PAB | Si |
| 108,044 | 2,017 | MAMO1**041996 | 1996-04-06 | 23 | 9452855d36e162173a401415cc0e4139 | NA | Hombre | 2016-07-08 | 2017-09-01 | PG-PAI | Si |
| 147,908 | 2,019 | LOHU2**121981 | 1981-12-06 | 37 | 946ec79d6eccedfdbe2568a8e3be5a0e | NA | Mujer | 2018-06-11 | 2019-05-02 | PG-PAB | Si |
| 132,683 | 2,018 | LOHU2**021981 | 1981-02-04 | 38 | 946ec79d6eccedfdbe2568a8e3be5a0e | NA | Mujer | 2017-12-29 | 2018-05-18 | M-PR | Si |
| 117,480 | 2,017 | FEEW1**091989 | 1989-09-09 | 30 | 9534ccf59cfe0aa9eb2c7634e72927c8 | NA | Hombre | 2017-05-03 | 2017-12-20 | PG-PAI | Si |
| 65,512 | 2,015 | FEEW1**091986 | 1986-09-09 | 33 | 9534ccf59cfe0aa9eb2c7634e72927c8 | Hombre | 2013-04-10 | 2015-02-06 | PG-PAI | Si | |
| 22,509 | 2,012 | FEEW1**081986 | 1986-08-09 | 33 | 9534ccf59cfe0aa9eb2c7634e72927c8 | Hombre | 2011-10-11 | 2012-04-05 | PG-PAI | Si | |
| 48,824 | 2,014 | CAFL2**031983 | 1983-03-25 | 36 | 95468cec4388cfa1a6d66ee24d10a98d | Mujer | 2013-04-12 | 2014-06-02 | M-PR | Si | |
| 36,838 | 2,013 | CAFL2**031982 | 1982-03-25 | 37 | 95468cec4388cfa1a6d66ee24d10a98d | Mujer | 2012-11-15 | 2013-04-12 | M-PAI | Si | |
| 30,160 | 2,012 | CAFL2**031982 | 1982-03-25 | 37 | 95468cec4388cfa1a6d66ee24d10a98d | Mujer | 2012-08-09 | 2012-11-30 | M-PR | Si | |
| 22,793 | 2,012 | CAFL2**031982 | 1982-03-25 | 37 | 95468cec4388cfa1a6d66ee24d10a98d | Mujer | 2011-07-07 | 2012-03-16 | M-PR | Si | |
| 990 | 2,010 | CAFL2**031982 | 1982-03-25 | 37 | 95468cec4388cfa1a6d66ee24d10a98d | Mujer | 2010-01-26 | 2010-03-22 | M-PR | Si | |
| 107,293 | 2,017 | HEGO1**121969 | 1969-12-04 | 49 | 95651248c8df8b9408f0628496baaa74 | NA | Hombre | 2016-05-11 | 2017-02-01 | PG-PR | Si |
| 91,982 | 2,016 | HEGO1**121970 | 1970-12-08 | 48 | 95651248c8df8b9408f0628496baaa74 | Hombre | 2015-12-01 | 2016-05-10 | PG-PAI | Si | |
| 91,393 | 2,016 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2015-12-01 | 2016-04-25 | PG-PR | Si | |
| 79,282 | 2,015 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2015-06-01 | 2015-11-24 | PG-PAI | Si | |
| 74,494 | 2,015 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2015-03-25 | 2015-04-10 | PG-PR | Si | |
| 70,808 | 2,015 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2014-12-15 | 2015-03-24 | PG-PAI | Si | |
| 64,093 | 2,014 | JOGO1**101988 | 1988-10-12 | 31 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2014-11-05 | 2014-12-05 | PG-PR | Si | |
| 62,314 | 2,014 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2014-09-11 | 2014-11-05 | PG-PAI | Si | |
| 15,189 | 2,011 | JOGO1**061990 | 1990-06-11 | 29 | 957922de114e4dca0cb741b8a7471ddc | Hombre | 2011-04-25 | 2011-10-14 | PG-PAI | Si | |
| 70,485 | 2,015 | PEWI1**041962 | 1962-04-05 | 57 | 968690c85719acb70c114b0cf815dd79 | Hombre | 2014-12-01 | 2015-07-01 | PG-PAI | Si | |
| 32,263 | 2,013 | PEWI1**041962 | 1962-04-05 | 57 | 968690c85719acb70c114b0cf815dd79 | Hombre | 2011-09-06 | 2013-03-11 | PG-PAI | Si | |
| 3,271 | 2,010 | PEWI1**041965 | 1965-04-05 | 54 | 968690c85719acb70c114b0cf815dd79 | Hombre | 2010-01-01 | 2010-06-04 | PG-PAI | Si | |
| 50,261 | 2,014 | KARI2**051990 | 1990-05-08 | 29 | 968eab799492c6c1007638061539842d | Mujer | 2013-08-21 | 2014-04-30 | PG-PR | No | |
| 31,127 | 2,012 | KARI2**051990 | 1990-05-08 | 29 | 968eab799492c6c1007638061539842d | Mujer | 2012-11-06 | 2012-12-26 | M-PR | Si | |
| 24,574 | 2,012 | KARI2**051990 | 1990-05-08 | 29 | 968eab799492c6c1007638061539842d | Mujer | 2012-01-02 | 2012-09-28 | M-PR | Si | |
| 18,707 | 2,011 | KARI2**051980 | 1980-05-08 | 39 | 968eab799492c6c1007638061539842d | Mujer | 2011-08-10 | 2011-12-31 | M-PR | Si | |
| 145,619 | 2,018 | GEHE1**081995 | 1995-08-28 | 24 | 96d08bc970629f80061b1f99f9ae5112 | NA | Hombre | 2018-12-17 | 2018-12-30 | PG-PR | Si |
| 129,881 | 2,018 | GEHE1**081999 | 1999-08-28 | 20 | 96d08bc970629f80061b1f99f9ae5112 | NA | Hombre | 2017-09-05 | 2018-07-05 | PG-PAI | Si |
| 107,462 | 2,017 | JUBA1**031988 | 1988-03-17 | 31 | 9721065626efda8a6aa9b1c257291de1 | NA | Hombre | 2016-05-12 | 2017-02-01 | PG-PAI | Si |
| 27,137 | 2,012 | JUBA1**031987 | 1987-03-17 | 32 | 9721065626efda8a6aa9b1c257291de1 | Hombre | 2012-05-24 | 2012-09-26 | PG-PAB | Si | |
| 52,108 | 2,014 | PAVA2**071980 | 1980-07-19 | 39 | 9738815164e23a98b978877997ed1744 | Mujer | 2013-11-11 | 2014-02-28 | PG-PAI | Si | |
| 35,130 | 2,013 | PAVA2**071986 | 1986-07-19 | 33 | 9738815164e23a98b978877997ed1744 | Mujer | 2012-12-06 | 2013-02-26 | PG-PAI | Si | |
| 38,605 | 2,013 | ESAR2**051983 | 1983-05-14 | 36 | 973d25b553519c63366157ce27d867a7 | Mujer | 2013-04-02 | 2013-07-01 | PG-PAI | Si | |
| 35,385 | 2,013 | ESAR2**111983 | 1983-11-14 | 35 | 973d25b553519c63366157ce27d867a7 | Mujer | 2012-11-06 | 2013-04-01 | PG-PAI | Si | |
| 129,768 | 2,018 | JAVA2**071982 | 1982-07-06 | 37 | 9765543013bb3e4a287723a6b034e3e8 | NA | Mujer | 2017-09-01 | 2018-02-09 | PG-PAI | No |
| 109,933 | 2,017 | JAVA2**071982 | 1982-07-06 | 37 | 9765543013bb3e4a287723a6b034e3e8 | NA | Mujer | 2016-10-25 | 2017-08-30 | M-PR | Si |
| 98,724 | 2,016 | JAVA2**061988 | 1988-06-06 | 31 | 9765543013bb3e4a287723a6b034e3e8 | Mujer | 2016-05-31 | 2016-07-07 | M-PR | Si | |
| 95,826 | 2,016 | JAVA2**071982 | 1982-07-06 | 37 | 9765543013bb3e4a287723a6b034e3e8 | Mujer | 2016-04-15 | 2016-05-26 | PG-PAI | Si | |
| 93,830 | 2,016 | JAVA1**071982 | 1982-07-06 | 37 | 9765543013bb3e4a287723a6b034e3e8 | Hombre | 2016-02-24 | 2016-04-07 | PG-PAI | Si | |
| 152,357 | 2,019 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | NA | Hombre | 2019-01-09 | 2019-07-19 | PG-PR | Si |
| 149,670 | 2,019 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | NA | Hombre | 2018-10-03 | 2019-01-08 | PG-PAI | No |
| 142,875 | 2,018 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | NA | Hombre | 2018-10-03 | 2018-11-30 | PG-PAI | Si |
| 89,520 | 2,016 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | Hombre | 2015-09-03 | 2016-09-21 | PG-PAI | Si | |
| 67,461 | 2,015 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | Hombre | 2014-06-16 | 2015-09-03 | PG-PR | Si | |
| 58,303 | 2,014 | JOCA1**071982 | 1982-07-23 | 37 | 976dc6ea364c0e2ba7decc74c634291d | Hombre | 2014-05-22 | 2014-06-12 | PG-PAI | Si | |
| 40,853 | 2,013 | JOCA1**071981 | 1981-07-23 | 38 | 976dc6ea364c0e2ba7decc74c634291d | Hombre | 2013-06-04 | 2013-10-04 | PG-PAI | Si | |
| 146,087 | 2,019 | JURO1**111964 | 1964-11-11 | 55 | 977aa02b93860116936f8d908d5a0f6f | NA | Hombre | 2017-08-08 | 2019-06-14 | PG-PAB | Si |
| 12,036 | 2,011 | JURO1**111964 | 1964-11-11 | 54 | 977aa02b93860116936f8d908d5a0f6f | Hombre | 2010-11-15 | 2011-12-26 | PG-PAB | Si | |
| 157,138 | 2,019 | OROR1**081968 | 1968-08-27 | 51 | 979e2473097fc5ff0da98dae25ca9ae6 | NA | Hombre | 2019-05-09 | 2019-06-20 | PG-PAI | Si |
| 149,882 | 2,019 | OROR1**081958 | 1958-08-27 | 61 | 979e2473097fc5ff0da98dae25ca9ae6 | NA | Hombre | 2018-10-18 | 2019-01-31 | PG-PAI | Si |
| 109,634 | 2,017 | DODI1**011966 | 1966-01-02 | 53 | 97f2e4bdb1051eadcc3de5bc7b14d25d | NA | Hombre | 2016-10-12 | 2017-03-21 | PG-PAB | Si |
| 41,906 | 2,013 | DODI1**011994 | 1994-01-02 | 25 | 97f2e4bdb1051eadcc3de5bc7b14d25d | Hombre | 2013-07-01 | 2013-11-29 | PG-PAB | Si | |
| 146,967 | 2,019 | OLGU2**081959 | 1959-08-07 | 60 | 98274e3737db01c310fdbd5431dfd665 | NA | Mujer | 2018-03-01 | NA | M-PAI | Si |
| 32,225 | 2,013 | OLGU2**081992 | 1992-08-07 | 27 | 98274e3737db01c310fdbd5431dfd665 | Mujer | 2011-04-06 | 2013-05-31 | PG-PAB | No | |
| 10,049 | 2,011 | OLGU2**081959 | 1959-08-07 | 60 | 98274e3737db01c310fdbd5431dfd665 | Mujer | 2007-10-10 | 2011-07-29 | PG-PAB | Si | |
| 156,291 | 2,019 | ALVI2**021993 | 1993-02-07 | 26 | 985f9ab6f9a665c9a052f01b5842976f | NA | Mujer | 2019-03-13 | 2019-07-01 | M-PAI | Si |
| 39,721 | 2,013 | ALVI2**051994 | 1994-05-07 | 25 | 985f9ab6f9a665c9a052f01b5842976f | Mujer | 2013-05-16 | 2013-10-24 | PG-PAI | Si | |
| 128,867 | 2,018 | JUMO1**101960 | 1960-10-02 | 59 | 9884e7500498092b162a99069ae9d71a | NA | Hombre | 2017-08-09 | 2018-03-08 | PG-PAI | Si |
| 26,991 | 2,012 | JUMO1**051993 | 1993-05-02 | 26 | 9884e7500498092b162a99069ae9d71a | Hombre | 2012-05-03 | 2012-08-27 | PG-PAI | Si | |
| 159,119 | 2,019 | ELRU2**121988 | 1988-12-05 | 30 | 988df577984b08f604a37d4a99c21654 | NA | Mujer | 2019-06-11 | NA | M-PAI | Si |
| 74,580 | 2,015 | ELRU2**121988 | 1988-12-05 | 30 | 988df577984b08f604a37d4a99c21654 | Mujer | 2015-03-02 | 2015-07-06 | PG-PAI | Si | |
| 58,180 | 2,014 | ELRU2**051988 | 1988-05-12 | 31 | 988df577984b08f604a37d4a99c21654 | Mujer | 2014-05-26 | 2015-02-02 | PG-PR | Si | |
| 48,822 | 2,014 | HEAY1**101971 | 1971-10-27 | 48 | 988f10805d6491c2ff929a921788741f | Hombre | 2013-04-09 | 2014-07-01 | PG-PR | Si | |
| 34,570 | 2,013 | HEAY1**101972 | 1972-10-27 | 47 | 988f10805d6491c2ff929a921788741f | Hombre | 2012-10-18 | 2013-04-09 | PG-PAI | Si | |
| 26,668 | 2,012 | HEAY1**101972 | 1972-10-27 | 47 | 988f10805d6491c2ff929a921788741f | Hombre | 2012-03-05 | 2012-06-25 | PG-PAI | Si | |
| 124,256 | 2,017 | DAGO2**111983 | 1983-11-16 | 35 | 98a8a9f94fe22f7769d71f950cacbd6a | NA | Mujer | 2017-11-15 | 2017-12-08 | M-PR | Si |
| 115,382 | 2,017 | DAGO2**081983 | 1983-08-16 | 36 | 98a8a9f94fe22f7769d71f950cacbd6a | NA | Mujer | 2017-04-04 | 2017-05-01 | M-PR | Si |
| 92,192 | 2,016 | DAGO2**081983 | 1983-08-16 | 36 | 98a8a9f94fe22f7769d71f950cacbd6a | Mujer | 2015-12-21 | 2016-06-30 | PG-PAB | Si | |
| 67,771 | 2,015 | JEDU2**121973 | 1973-12-20 | 45 | 98d1dc22e5198e49118b4d0510d8f65d | Mujer | 2014-07-08 | 2015-02-27 | PG-PAB | Si | |
| 24,806 | 2,012 | JEDU2**021993 | 1993-02-20 | 26 | 98d1dc22e5198e49118b4d0510d8f65d | Mujer | 2012-02-10 | 2012-12-04 | M-PAI | Si | |
| 139,421 | 2,018 | CLCA1**051963 | 1963-05-26 | 56 | 98fb0ff6482e2ceffa17150626d39986 | NA | Hombre | 2018-04-09 | 2018-12-01 | PG-PAI | Si |
| 117,234 | 2,017 | CLCA1**051963 | 1963-05-26 | 56 | 98fb0ff6482e2ceffa17150626d39986 | NA | Hombre | 2017-04-21 | 2017-10-31 | PG-PAI | No |
| 110,166 | 2,017 | CLCA1**051953 | 1953-05-28 | 66 | 98fb0ff6482e2ceffa17150626d39986 | NA | Hombre | 2016-09-13 | 2017-03-01 | PG-PAB | Si |
| 77,364 | 2,015 | CLCA1**051963 | 1963-05-23 | 56 | 98fb0ff6482e2ceffa17150626d39986 | Hombre | 2015-06-01 | 2015-09-01 | PG-PAI | Si | |
| 11,974 | 2,011 | DIGR1**061985 | 1985-06-13 | 34 | 9942e1707f76a584469ca90d292b69df | Hombre | 2010-11-30 | 2011-04-25 | PG-PR | Si | |
| 618 | 2,010 | DIGA1**111985 | 1985-11-13 | 33 | 9942e1707f76a584469ca90d292b69df | Hombre | 2009-01-23 | 2010-03-29 | PG-PAI | Si | |
| 150,499 | 2,019 | MAGA1**111976 | 1976-11-26 | 42 | 9962cb9d3217f2d2c219d2b5a6c9ac46 | NA | Hombre | 2018-11-01 | NA | PG-PAI | Si |
| 48,165 | 2,014 | MAGA1**091976 | 1976-09-26 | 43 | 9962cb9d3217f2d2c219d2b5a6c9ac46 | Hombre | 2013-01-23 | 2014-09-02 | PG-PAB | Si | |
| 34,168 | 2,013 | MAGA1**091976 | 1976-09-26 | 43 | 9962cb9d3217f2d2c219d2b5a6c9ac46 | Hombre | 2012-10-15 | 2013-01-23 | PG-PAI | Si | |
| 27,491 | 2,012 | MAGA1**091976 | 1976-09-26 | 43 | 9962cb9d3217f2d2c219d2b5a6c9ac46 | Hombre | 2012-06-16 | 2012-10-12 | PG-PAI | Si | |
| 36,723 | 2,013 | FRAG1**021994 | 1994-02-01 | 25 | 99874339b6b461aae75f4fd524e5367b | Hombre | 2012-02-10 | NA | PG-PAB | Si | |
| 12,224 | 2,011 | RIDE1**021957 | 1957-02-11 | 62 | 99874339b6b461aae75f4fd524e5367b | Hombre | 2010-10-13 | 2011-06-29 | PG-PR | No | |
| 141,825 | 2,018 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | NA | Hombre | 2018-09-01 | 2018-10-31 | PG-PR | Si |
| 136,988 | 2,018 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | NA | Hombre | 2018-04-25 | 2018-07-25 | PG-PAI | Si |
| 108,370 | 2,017 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | NA | Hombre | 2016-08-01 | 2017-08-31 | PG-PAI | Si |
| 61,747 | 2,014 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | Hombre | 2014-09-02 | 2014-12-17 | PG-PAI | Si | |
| 26,081 | 2,012 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | Hombre | 2012-04-13 | 2012-08-16 | PG-PR | Si | |
| 12,126 | 2,011 | ROMA1**061990 | 1990-06-30 | 29 | 9a0119508e52e24971b0bd197d350af1 | Hombre | 2010-10-07 | 2011-03-16 | PG-PAB | No | |
| 6,037 | 2,010 | ROMA1**061991 | 1991-06-30 | 28 | 9a0119508e52e24971b0bd197d350af1 | Hombre | 2010-06-22 | 2010-09-20 | PG-PR | Si | |
| 142,886 | 2,018 | RALA1**051969 | 1969-05-01 | 50 | 9a0cb699f794460e535ca9af1efd702b | NA | Hombre | 2018-10-04 | 2019-01-02 | PG-PAI | Si |
| 66,125 | 2,015 | RALA1**051969 | 1969-05-01 | 50 | 9a0cb699f794460e535ca9af1efd702b | Hombre | 2013-12-11 | 2015-05-04 | PG-PR | Si | |
| 45,232 | 2,013 | RALA1**061963 | 1963-06-26 | 56 | 9a0cb699f794460e535ca9af1efd702b | Hombre | 2013-10-03 | 2013-12-12 | PG-PAI | Si | |
| 7,707 | 2,010 | RICR1**051991 | 1991-05-15 | 28 | 9a348fa7c811f1fab9b3b7bd9fa5fd95 | Hombre | 2010-08-10 | 2010-11-02 | PG-PR | Si | |
| 746 | 2,010 | RICR1**051989 | 1989-05-15 | 30 | 9a348fa7c811f1fab9b3b7bd9fa5fd95 | Hombre | 2009-07-01 | 2010-08-16 | PG-PAI | Si | |
| 148,048 | 2,019 | GUCO1**081968 | 1968-08-13 | 51 | 9a78e94909c71b23fa7f7f980d0a03c1 | NA | Hombre | 2017-12-20 | 2019-05-01 | PG-PAI | Si |
| 112,253 | 2,017 | GUCO1**081968 | 1968-08-13 | 51 | 9a78e94909c71b23fa7f7f980d0a03c1 | NA | Hombre | 2017-01-26 | 2017-04-01 | PG-PAI | Si |
| 61,397 | 2,014 | GUCO1**081971 | 1971-08-13 | 48 | 9a78e94909c71b23fa7f7f980d0a03c1 | Hombre | 2014-08-06 | 2015-01-16 | PG-PAB | No | |
| 160,089 | 2,019 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | NA | Mujer | 2019-07-29 | NA | M-PR | Si |
| 146,984 | 2,019 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | NA | Mujer | 2018-03-14 | 2019-02-07 | M-PAI | Si |
| 115,829 | 2,017 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | NA | Mujer | 2017-03-30 | 2017-06-30 | M-PAI | Si |
| 81,821 | 2,015 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | Mujer | 2015-08-05 | 2015-12-01 | M-PAI | Si | |
| 17,208 | 2,011 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | Mujer | 2011-07-01 | 2011-10-20 | M-PAI | Si | |
| 7,251 | 2,010 | KADI2**061970 | 1970-06-30 | 49 | 9aaa9aa5194cb84a0741ea49b74d8787 | Mujer | 2010-08-18 | 2011-05-17 | M-PAI | No | |
| 7,250 | 2,010 | PACA2**011990 | 1990-01-12 | 29 | 9aaa9aa5194cb84a0741ea49b74d8787 | Mujer | 2010-08-18 | 2011-01-31 | M-PAI | No | |
| 88,394 | 2,016 | MARA1**111950 | 1950-11-29 | 68 | 9aca73b5c90daa0433f6d8c754fe8b21 | Hombre | 2015-06-17 | 2016-07-01 | PG-PAB | Si | |
| 49,293 | 2,014 | MARA1**061950 | 1950-06-29 | 69 | 9aca73b5c90daa0433f6d8c754fe8b21 | Hombre | 2013-06-04 | 2014-11-03 | PG-PAB | Si | |
| 27,811 | 2,012 | MARA1**111950 | 1950-11-29 | 68 | 9aca73b5c90daa0433f6d8c754fe8b21 | Hombre | 2012-06-25 | 2012-12-31 | PG-PR | Si | |
| 66,444 | 2,015 | REYA1**071986 | 1986-07-26 | 33 | 9ae781b325bb8f2d4a7c49eadbc6b971 | Hombre | 2014-02-04 | 2015-06-01 | PG-PAI | Si | |
| 33,861 | 2,013 | REYA1**071976 | 1976-07-25 | 43 | 9ae781b325bb8f2d4a7c49eadbc6b971 | Hombre | 2012-09-04 | 2013-02-26 | PG-PAB | Si | |
| 7,579 | 2,010 | REYA1**071976 | 1976-07-16 | 43 | 9ae781b325bb8f2d4a7c49eadbc6b971 | Hombre | 2010-08-10 | 2011-01-03 | PG-PAB | Si | |
| 133,639 | 2,018 | JATR1**091992 | 1992-09-10 | 27 | 9afb0816c4d8f0cd034b987783392fa7 | NA | Hombre | 2018-01-26 | 2018-10-18 | PG-PAI | Si |
| 71,400 | 2,015 | JATR1**111992 | 1992-11-10 | 26 | 9afb0816c4d8f0cd034b987783392fa7 | Hombre | 2015-01-27 | 2015-04-29 | PG-PAI | Si | |
| 61,461 | 2,014 | JATR1**091992 | 1992-09-10 | 27 | 9afb0816c4d8f0cd034b987783392fa7 | Hombre | 2014-08-21 | 2015-01-02 | PG-PAB | Si | |
| 133,026 | 2,018 | JOCO1**011991 | 1991-01-03 | 28 | 9b008b7683d9c22ff1587228d18c97ad | NA | Hombre | 2018-01-26 | 2018-04-30 | M-PR | Si |
| 52,291 | 2,014 | JOCO1**011990 | 1990-01-03 | 29 | 9b008b7683d9c22ff1587228d18c97ad | Hombre | 2013-11-27 | 2014-10-10 | M-PR | Si | |
| 69,030 | 2,015 | VARO2**041985 | 1985-04-26 | 34 | 9b1c5e723c60590c3e547c2e42c6d369 | Mujer | 2014-09-29 | 2015-04-24 | M-PR | Si | |
| 11,695 | 2,011 | VARO2**041988 | 1988-04-26 | 31 | 9b1c5e723c60590c3e547c2e42c6d369 | Mujer | 2010-10-07 | 2011-03-31 | PG-PAB | Si | |
| 161,182 | 2,019 | NIAL2**111972 | 1972-11-24 | 46 | 9b521c02f0e9c09c688d88e6f740a1f2 | NA | Mujer | 2019-08-30 | NA | M-PAI | Si |
| 129,935 | 2,018 | NI-A2**111972 | 1972-11-24 | 46 | 9b521c02f0e9c09c688d88e6f740a1f2 | NA | Mujer | 2017-09-14 | 2018-02-06 | M-PR | Si |
| 111,283 | 2,017 | NIAL2**111996 | 1996-11-24 | 22 | 9b521c02f0e9c09c688d88e6f740a1f2 | NA | Mujer | 2016-12-19 | 2017-09-13 | M-PAI | Si |
| 50,846 | 2,014 | NIAL2**111972 | 1972-11-24 | 46 | 9b521c02f0e9c09c688d88e6f740a1f2 | Mujer | 2013-09-30 | 2014-11-28 | M-PAI | Si | |
| 155,034 | 2,019 | FECO1**111990 | 1990-11-13 | 29 | 9b6f1484841012babeb2a0a2542759c3 | NA | Hombre | 2019-01-15 | 2019-06-01 | PG-PAB | Si |
| 140,088 | 2,018 | FECO1**111990 | 1990-11-13 | 28 | 9b6f1484841012babeb2a0a2542759c3 | NA | Hombre | 2018-06-12 | 2019-01-01 | PG-PAB | Si |
| 119,841 | 2,017 | FECO1**111990 | 1990-11-13 | 28 | 9b6f1484841012babeb2a0a2542759c3 | NA | Hombre | 2017-07-19 | 2017-08-01 | PG-PAI | Si |
| 156,331 | 2,019 | ANTA1**101972 | 1972-10-09 | 47 | 9baf06ffe50dc63fb6e27bc298746fc5 | NA | Hombre | 2019-03-11 | 2019-08-05 | PG-PAI | Si |
| 131,732 | 2,018 | ANTA1**101977 | 1977-10-09 | 42 | 9baf06ffe50dc63fb6e27bc298746fc5 | NA | Hombre | 2017-12-01 | 2018-02-05 | PG-PAI | Si |
| 34,783 | 2,013 | OSVE1**101993 | 1993-10-20 | 26 | 9bc6034348234dae7b0af0bc845fac5e | Hombre | 2012-11-29 | 2013-08-12 | PG-PAI | Si | |
| 28,817 | 2,012 | OSVE1**101980 | 1980-10-20 | 39 | 9bc6034348234dae7b0af0bc845fac5e | Hombre | 2012-07-12 | 2012-11-29 | PG-PAB | Si | |
| 4,017 | 2,010 | JUBR1**031991 | 1991-03-18 | 28 | 9bda977ed3dec2c6d6cdbe7cad32e2d0 | Hombre | 2010-03-18 | 2010-05-11 | PG-PAI | Si | |
| 917 | 2,010 | JUBR1**041970 | 1970-04-20 | 49 | 9bda977ed3dec2c6d6cdbe7cad32e2d0 | Hombre | 2009-07-09 | 2010-02-10 | PG-PAB | Si | |
| 36,518 | 2,013 | ITOR1**081984 | 1984-08-22 | 35 | 9bf82bd6c7ae01973df90c82cf1847c1 | Hombre | 2013-01-17 | 2013-05-01 | PG-PR | Si | |
| 28,093 | 2,012 | ITOR1**081989 | 1989-08-22 | 30 | 9bf82bd6c7ae01973df90c82cf1847c1 | Hombre | 2012-07-03 | 2013-01-09 | PG-PAB | Si | |
| 22,653 | 2,012 | ITOR1**081984 | 1984-08-22 | 35 | 9bf82bd6c7ae01973df90c82cf1847c1 | Hombre | 2011-10-26 | 2012-01-02 | PG-PAI | Si | |
| 44,500 | 2,013 | MAZE1**011977 | 1977-01-11 | 42 | 9c1611274aeedb4c66cc6aaed7573a38 | Hombre | 2013-09-02 | 2014-01-27 | PG-PAB | Si | |
| 16,501 | 2,011 | MAZE1**061992 | 1992-06-10 | 27 | 9c1611274aeedb4c66cc6aaed7573a38 | Hombre | 2011-06-10 | 2011-10-04 | PG-PAI | Si | |
| 155,025 | 2,019 | MACO1**111985 | 1985-11-07 | 34 | 9c36c967bb4862f5522e7e4a711dfc02 | NA | Hombre | 2019-03-08 | 2019-05-31 | PG-PAI | Si |
| 145,204 | 2,018 | MACO1**111985 | 1985-11-07 | 33 | 9c36c967bb4862f5522e7e4a711dfc02 | NA | Hombre | 2018-12-11 | 2019-01-04 | PG-PAI | Si |
| 160,005 | 2,019 | YAHE2**121987 | 1987-12-19 | 31 | 9c50c47d5f1223313e3ddf30f1ca9542 | NA | Mujer | 2019-07-25 | NA | M-PAI | Si |
| 131,352 | 2,018 | YAHE2**121985 | 1985-12-19 | 33 | 9c50c47d5f1223313e3ddf30f1ca9542 | NA | Mujer | 2017-11-02 | 2018-07-26 | M-PAI | Si |
| 112,815 | 2,017 | YAHE2**121987 | 1987-12-19 | 31 | 9c50c47d5f1223313e3ddf30f1ca9542 | NA | Mujer | 2016-12-23 | 2017-07-01 | M-PAI | Si |
| 91,401 | 2,016 | YAHE2**121985 | 1985-12-19 | 33 | 9c50c47d5f1223313e3ddf30f1ca9542 | Mujer | 2015-11-27 | 2016-07-31 | M-PAI | Si | |
| 137,369 | 2,018 | JOME1**091952 | 1952-09-26 | 67 | 9c6dea6ab47526c73c1bb7c059d5ff94 | NA | Hombre | 2018-05-03 | 2018-12-20 | PG-PR | Si |
| 130,545 | 2,018 | JOME1**091952 | 1952-09-26 | 67 | 9c6dea6ab47526c73c1bb7c059d5ff94 | NA | Hombre | 2017-09-20 | 2018-05-02 | PG-PAI | Si |
| 72,912 | 2,015 | JOME1**091962 | 1962-09-26 | 57 | 9c6dea6ab47526c73c1bb7c059d5ff94 | Hombre | 2015-02-03 | 2015-08-21 | PG-PAB | Si | |
| 136,229 | 2,018 | ROCA1**041981 | 1981-04-10 | 38 | 9c83dd9e5be6ca4d269812e576d609c9 | NA | Hombre | 2018-03-21 | 2018-11-05 | PG-PAB | Si |
| 4,441 | 2,010 | ROCA1**021982 | 1982-02-10 | 37 | 9c83dd9e5be6ca4d269812e576d609c9 | Hombre | 2010-03-02 | 2010-09-30 | PG-PAB | Si | |
| 6,177 | 2,010 | FRRO1**021987 | 1987-02-19 | 32 | 9c87de5821d412940eba6da6b9b25165 | Hombre | 2010-06-01 | 2010-12-15 | PG-PR | No | |
| 5,572 | 2,010 | FRRO1**121987 | 1987-12-19 | 31 | 9c87de5821d412940eba6da6b9b25165 | Hombre | 2010-01-25 | 2011-06-02 | PG-PAB | Si | |
| 3,854 | 2,010 | FRRO1**121987 | 1987-12-19 | 31 | 9c87de5821d412940eba6da6b9b25165 | Hombre | 2010-01-25 | 2010-04-30 | PG-PAI | Si | |
| 161,779 | 2,019 | KAAC2**011980 | 1980-01-28 | 39 | 9cc80f63f456ae41d8b72145fe673b3c | NA | Mujer | 2019-09-17 | NA | M-PAI | Si |
| 92,809 | 2,016 | KAAC2**011980 | 1980-01-28 | 39 | 9cc80f63f456ae41d8b72145fe673b3c | Mujer | 2015-11-27 | 2016-04-30 | PG-PAB | Si | |
| 68,387 | 2,015 | KAAC2**011998 | 1998-01-28 | 21 | 9cc80f63f456ae41d8b72145fe673b3c | Mujer | 2014-08-08 | 2015-08-31 | M-PR | Si | |
| 26,052 | 2,012 | KAAC2**011980 | 1980-01-28 | 39 | 9cc80f63f456ae41d8b72145fe673b3c | Mujer | 2012-04-03 | 2012-11-16 | M-PR | Si | |
| 132,968 | 2,018 | MACA2**081959 | 1959-08-22 | 60 | 9d205b7173f2a71b5928d005c69a040c | NA | Mujer | 2017-12-27 | 2018-08-29 | PG-PAB | No |
| 132,268 | 2,018 | MACA2**101962 | 1962-10-18 | 57 | 9d205b7173f2a71b5928d005c69a040c | NA | Mujer | 2017-12-27 | 2018-01-02 | PG-PAI | Si |
| 145,821 | 2,019 | BOCA1**021974 | 1974-02-10 | 45 | 9d4067490872679cabd325391f43973a | NA | Hombre | 2016-12-05 | NA | PG-PAI | Si |
| 68,241 | 2,015 | BOCA1**021974 | 1974-02-10 | 45 | 9d4067490872679cabd325391f43973a | Hombre | 2014-03-24 | 2015-02-25 | PG-PAI | Si | |
| 45,258 | 2,013 | BOCA1**081971 | 1971-08-11 | 48 | 9d4067490872679cabd325391f43973a | Hombre | 2013-09-27 | 2014-03-04 | PG-PAB | Si | |
| 156,637 | 2,019 | CAPE1**061969 | 1969-06-14 | 50 | 9d469f572ca5bc07606d562f32d4e7f4 | NA | Hombre | 2019-05-06 | 2019-06-03 | PG-PAI | Si |
| 142,953 | 2,018 | CAPE1**061969 | 1969-06-14 | 50 | 9d469f572ca5bc07606d562f32d4e7f4 | NA | Hombre | 2018-10-10 | 2018-11-28 | PG-PAB | Si |
| 128,065 | 2,018 | CAPE1**061988 | 1988-06-14 | 31 | 9d469f572ca5bc07606d562f32d4e7f4 | NA | Hombre | 2017-06-27 | 2018-03-05 | PG-PAB | Si |
| 113,500 | 2,017 | ANGR1**021974 | 1974-02-08 | 45 | 9d5640242538b437cd280f4148f409c2 | NA | Hombre | 2017-01-10 | 2017-06-01 | PG-PAB | No |
| 69,600 | 2,015 | ANGR1**021974 | 1974-02-08 | 45 | 9d5640242538b437cd280f4148f409c2 | Hombre | 2014-11-03 | 2015-04-20 | PG-PAB | No | |
| 14,069 | 2,011 | ANGR1**021974 | 1974-02-08 | 45 | 9d5640242538b437cd280f4148f409c2 | Hombre | 2010-11-25 | 2011-04-04 | PG-PAI | Si | |
| 12,193 | 2,011 | JOCA1**011983 | 1983-01-28 | 36 | 9d5640242538b437cd280f4148f409c2 | Hombre | 2010-11-02 | 2011-02-02 | PG-PAI | Si | |
| 146,413 | 2,019 | JOOR1**121970 | 1970-12-24 | 48 | 9d63425c769cfdcf7f62e323e0a627ff | NA | Hombre | 2017-12-14 | NA | PG-PAI | Si |
| 117,668 | 2,017 | JOOR1**121970 | 1970-12-24 | 48 | 9d63425c769cfdcf7f62e323e0a627ff | NA | Hombre | 2017-05-17 | 2017-12-01 | PG-PR | Si |
| 101,977 | 2,016 | JOOR1**121973 | 1973-12-24 | 45 | 9d63425c769cfdcf7f62e323e0a627ff | Hombre | 2016-09-26 | 2017-02-01 | PG-PAI | Si | |
| 152,118 | 2,019 | JOCO1**101989 | 1989-10-10 | 30 | 9d7be4d946430501e4c64c47b9cb456b | NA | Hombre | 2018-12-17 | 2019-03-26 | PG-PAI | Si |
| 134,254 | 2,018 | JOCO1**101989 | 1989-10-10 | 30 | 9d7be4d946430501e4c64c47b9cb456b | NA | Hombre | 2017-12-29 | 2018-05-02 | PG-PAB | Si |
| 22,834 | 2,012 | JOCO1**101988 | 1988-10-10 | 31 | 9d7be4d946430501e4c64c47b9cb456b | Hombre | 2011-11-10 | 2012-05-31 | PG-PAI | Si | |
| 12,386 | 2,011 | ALME1**121991 | 1991-12-10 | 27 | 9d8b1eb87394c8ee43b49a2aed5b450c | Hombre | 2010-12-10 | 2011-08-17 | PG-PAB | Si | |
| 7,379 | 2,010 | ALME1**071973 | 1973-07-02 | 46 | 9d8b1eb87394c8ee43b49a2aed5b450c | Hombre | 2010-08-30 | 2010-11-02 | PG-PAB | Si | |
| 140,362 | 2,018 | MISA2**021992 | 1992-02-26 | 27 | 9d9d24fdfa92dbbf78066eb548a071cf | NA | Mujer | 2018-07-23 | 2018-09-12 | M-PAI | Si |
| 24,165 | 2,012 | MISA2**021992 | 1992-02-26 | 27 | 9d9d24fdfa92dbbf78066eb548a071cf | Mujer | 2012-01-02 | 2012-02-06 | PG-PAI | Si | |
| 19,934 | 2,011 | MISA2**111992 | 1992-11-29 | 26 | 9d9d24fdfa92dbbf78066eb548a071cf | Mujer | 2011-11-29 | 2011-12-19 | PG-PAI | Si | |
| 88,170 | 2,016 | CRMI1**071977 | 1977-07-09 | 42 | 9dd7741a8bf6e4d3724a9909568e322f | Hombre | 2015-07-10 | 2016-03-01 | PG-PR | Si | |
| 56,283 | 2,014 | CRMI1**121977 | 1977-12-09 | 41 | 9dd7741a8bf6e4d3724a9909568e322f | Hombre | 2014-03-31 | 2014-12-01 | PG-PAB | Si | |
| 106,589 | 2,017 | CYMI2**111980 | 1980-11-09 | 38 | 9e06871d982546d078729e6154d285ba | NA | Mujer | 2016-01-08 | 2018-01-01 | PG-PAB | Si |
| 36,474 | 2,013 | CIMI2**091980 | 1980-09-11 | 39 | 9e06871d982546d078729e6154d285ba | Mujer | 2013-01-02 | 2013-05-02 | PG-PAI | Si | |
| 157,142 | 2,019 | PACO1**021974 | 1974-02-07 | 45 | 9e153690f84f91a211d152784e136bd2 | NA | Hombre | 2019-05-13 | 2019-08-23 | PG-PR | Si |
| 23,066 | 2,012 | PACO1**111992 | 1992-11-07 | 26 | 9e153690f84f91a211d152784e136bd2 | Hombre | 2011-11-28 | 2012-05-03 | PG-PAI | Si | |
| 10,466 | 2,011 | PACO1**021974 | 1974-02-07 | 45 | 9e153690f84f91a211d152784e136bd2 | Hombre | 2010-05-03 | 2011-07-11 | PG-PR | Si | |
| 39,909 | 2,013 | CLRO1**091980 | 1980-09-15 | 39 | 9e3731ba836a986a05ad706e250fa52c | Hombre | 2013-05-01 | 2013-07-31 | PG-PAI | Si | |
| 33,058 | 2,013 | CLRO1**091982 | 1982-09-15 | 37 | 9e3731ba836a986a05ad706e250fa52c | Hombre | 2012-06-01 | 2013-04-29 | PG-PAB | Si | |
| 113,183 | 2,017 | SEAR1**011986 | 1986-01-06 | 33 | 9e4b827a3a0a8e2e827d5fb2af5c23bb | NA | Hombre | 2017-02-13 | 2017-11-17 | PG-PR | Si |
| 111,435 | 2,017 | SEAR1**071996 | 1996-07-05 | 23 | 9e4b827a3a0a8e2e827d5fb2af5c23bb | NA | Hombre | 2016-08-17 | 2017-02-10 | PG-PAB | Si |
| 160,004 | 2,019 | LUCO1**111984 | 1984-11-10 | 35 | 9e66cc522bb209911a6a155ef3c45c96 | NA | Hombre | 2019-05-27 | NA | PG-PAI | Si |
| 70,966 | 2,015 | LUCO1**111984 | 1984-11-10 | 34 | 9e66cc522bb209911a6a155ef3c45c96 | Hombre | 2014-12-30 | 2015-01-27 | PG-PAI | Si | |
| 39,052 | 2,013 | LESA2**071981 | 1981-07-01 | 38 | 9e6e002357a29c8e2ab1d132f8d52b5a | Mujer | 2013-04-01 | 2013-08-21 | PG-PAI | Si | |
| 36,207 | 2,013 | LESA2**121981 | 1981-12-15 | 37 | 9e6e002357a29c8e2ab1d132f8d52b5a | Mujer | 2013-01-14 | 2013-04-18 | PG-PAI | Si | |
| 3,331 | 2,010 | VESE2**021973 | 1973-02-02 | 46 | 9e85181d37efbdb04556dce6eafabd7b | Mujer | 2009-11-16 | 2010-06-01 | M-PR | Si | |
| 196 | 2,010 | VESE2**121976 | 1976-12-21 | 42 | 9e85181d37efbdb04556dce6eafabd7b | Mujer | 2009-11-16 | 2010-01-28 | M-PR | Si | |
| 145,974 | 2,019 | GIGO2**101966 | 1966-10-06 | 53 | 9e8b4ea065d6fbf66f63813ee5d9eb7b | NA | Mujer | 2017-06-28 | NA | PG-PAI | Si |
| 70,831 | 2,015 | GIGO2**101966 | 1966-10-06 | 53 | 9e8b4ea065d6fbf66f63813ee5d9eb7b | Mujer | 2014-12-01 | 2015-06-30 | PG-PAI | Si | |
| 22,501 | 2,012 | GIGO2**101964 | 1964-10-06 | 55 | 9e8b4ea065d6fbf66f63813ee5d9eb7b | Mujer | 2011-07-27 | 2012-07-31 | PG-PAI | Si | |
| 87,568 | 2,016 | MAAL1**021988 | 1988-02-09 | 31 | 9f1ae6476e9bb24b337aeade4fc3e713 | Hombre | 2015-05-01 | 2016-02-09 | PG-PAI | Si | |
| 69,306 | 2,015 | MAAL1**021988 | 1988-02-09 | 31 | 9f1ae6476e9bb24b337aeade4fc3e713 | Hombre | 2014-10-02 | 2015-03-11 | PG-PAI | Si | |
| 34,065 | 2,013 | MAAL1**021989 | 1989-02-09 | 30 | 9f1ae6476e9bb24b337aeade4fc3e713 | Hombre | 2012-10-08 | 2013-08-01 | PG-PAB | Si | |
| 28,097 | 2,012 | MAAL1**021989 | 1989-02-09 | 30 | 9f1ae6476e9bb24b337aeade4fc3e713 | Hombre | 2012-07-04 | 2012-10-05 | PG-PAI | Si | |
| 142,506 | 2,018 | SELA1**081996 | 1996-08-13 | 23 | 9f5c1e2ba343614324b4d1caab052c6f | NA | Hombre | 2018-09-20 | 2018-12-18 | PG-PAI | Si |
| 112,795 | 2,017 | SELA1**081996 | 1996-08-13 | 23 | 9f5c1e2ba343614324b4d1caab052c6f | NA | Hombre | 2016-12-26 | 2017-07-03 | PG-PAB | Si |
| 97,980 | 2,016 | SELA1**081994 | 1994-08-13 | 25 | 9f5c1e2ba343614324b4d1caab052c6f | Hombre | 2016-06-01 | 2016-10-25 | PG-PAI | Si | |
| 76,063 | 2,015 | LECA1**051989 | 1989-05-03 | 30 | 9f8c7aec0e18cc02aca801a709eb0a1d | Hombre | 2015-04-08 | 2015-07-01 | PG-PR | Si | |
| 71,134 | 2,015 | LECA1**081988 | 1988-08-18 | 31 | 9f8c7aec0e18cc02aca801a709eb0a1d | Hombre | 2015-01-27 | 2015-03-31 | PG-PAI | Si | |
| 58,673 | 2,014 | MAVI2**091980 | 1980-09-18 | 39 | 9fed372032308c300b4fc7df0034abf8 | Mujer | 2014-06-19 | 2014-10-02 | M-PAI | Si | |
| 29,611 | 2,012 | MAVI2**121980 | 1980-12-18 | 38 | 9fed372032308c300b4fc7df0034abf8 | Mujer | 2012-08-28 | 2012-09-11 | M-PR | Si | |
| 26,752 | 2,012 | MAVI2**121980 | 1980-12-18 | 38 | 9fed372032308c300b4fc7df0034abf8 | Mujer | 2012-05-17 | 2012-08-17 | PG-PAI | Si | |
| 159,445 | 2,019 | MAES2**072001 | 2001-07-15 | 18 | a0eee7839dc689824f91b86db156f82f | NA | Mujer | 2019-07-25 | NA | PG-PAB | Si |
| 126,236 | 2,018 | MAES2**091960 | 1960-09-15 | 59 | a0eee7839dc689824f91b86db156f82f | NA | Mujer | 2016-09-16 | 2018-01-17 | PG-PAB | Si |
| 65,761 | 2,015 | MAES2**091960 | 1960-09-15 | 59 | a0eee7839dc689824f91b86db156f82f | Mujer | 2013-08-12 | 2015-09-10 | PG-PAB | Si | |
| 158,160 | 2,019 | PABI2**111967 | 1967-11-09 | 52 | a0fede99cd0b64fc656449da20c9fdc2 | NA | Mujer | 2019-06-06 | NA | PG-PAI | Si |
| 150,999 | 2,019 | PABI2**111967 | 1967-11-09 | 52 | a0fede99cd0b64fc656449da20c9fdc2 | NA | Mujer | 2018-11-06 | 2019-04-02 | PG-PAB | Si |
| 116,251 | 2,017 | PABI2**111967 | 1967-11-09 | 51 | a0fede99cd0b64fc656449da20c9fdc2 | NA | Mujer | 2017-04-20 | 2017-12-29 | PG-PAB | Si |
| 92,788 | 2,016 | YAVI1**061980 | 1980-06-24 | 39 | a154f719c97c4dbc978740610c2e3140 | Hombre | 2016-01-05 | 2016-02-21 | PG-PR | Si | |
| 82,702 | 2,015 | YAVI1**061980 | 1980-06-24 | 39 | a154f719c97c4dbc978740610c2e3140 | Hombre | 2015-10-07 | 2016-01-04 | PG-PAI | Si | |
| 70,530 | 2,015 | YAVI1**061980 | 1980-06-24 | 39 | a154f719c97c4dbc978740610c2e3140 | Hombre | 2014-12-02 | 2015-03-27 | PG-PAB | Si | |
| 60,899 | 2,014 | YAVI1**061979 | 1979-06-24 | 40 | a154f719c97c4dbc978740610c2e3140 | Hombre | 2014-08-18 | 2014-09-15 | PG-PR | Si | |
| 35,778 | 2,013 | EDRA1**101990 | 1990-10-21 | 29 | a1663c004007e45d02a2a23e16b59666 | Hombre | 2013-01-11 | 2013-03-15 | PG-PR | Si | |
| 35,158 | 2,013 | EDRA1**111990 | 1990-11-19 | 28 | a1663c004007e45d02a2a23e16b59666 | Hombre | 2012-10-29 | 2013-01-11 | PG-PAB | Si | |
| 107,292 | 2,017 | EVPA2**061984 | 1984-06-11 | 35 | a18b2c0a001e7d305e9c31df47add6c2 | NA | Mujer | 2016-04-06 | 2017-06-27 | PG-PAI | Si |
| 93,889 | 2,016 | EVPA2**021996 | 1996-02-05 | 23 | a18b2c0a001e7d305e9c31df47add6c2 | Mujer | 2016-02-05 | 2016-04-05 | M-PAI | Si | |
| 88,217 | 2,016 | EVPA2**061984 | 1984-06-11 | 35 | a18b2c0a001e7d305e9c31df47add6c2 | Mujer | 2015-07-03 | 2016-01-05 | M-PAI | Si | |
| 74,203 | 2,015 | EVPA2**061984 | 1984-06-11 | 35 | a18b2c0a001e7d305e9c31df47add6c2 | Mujer | 2015-03-09 | 2015-05-20 | M-PAI | Si | |
| 54,203 | 2,014 | EVPA2**061984 | 1984-06-11 | 35 | a18b2c0a001e7d305e9c31df47add6c2 | Mujer | 2014-02-05 | 2014-07-09 | PG-PAI | Si | |
| 43,553 | 2,013 | EVPA2**061984 | 1984-06-11 | 35 | a18b2c0a001e7d305e9c31df47add6c2 | Mujer | 2013-08-23 | 2013-11-25 | PG-PAI | Si | |
| 93,674 | 2,016 | URRO2**021983 | 1983-02-25 | 36 | a1eb48696897f5d7c8370d0a8a5956d7 | Mujer | 2016-01-23 | 2016-11-18 | M-PR | Si | |
| 14,438 | 2,011 | URRO2**021984 | 1984-02-25 | 35 | a1eb48696897f5d7c8370d0a8a5956d7 | Mujer | 2011-03-16 | 2011-11-30 | PG-PAI | Si | |
| 116,328 | 2,017 | JEPI1**111986 | 1986-11-24 | 32 | a22e12deb8268b3a449d262ed15cc816 | NA | Hombre | 2017-04-25 | 2017-06-05 | PG-PAI | Si |
| 115,958 | 2,017 | JEPI1**111986 | 1986-11-04 | 33 | a22e12deb8268b3a449d262ed15cc816 | NA | Hombre | 2017-04-17 | 2017-04-24 | PG-PAB | Si |
| 38,494 | 2,013 | JOME1**091965 | 1965-09-19 | 54 | a27098f3a7c39a94da3e138244aaa5f9 | Hombre | 2013-03-27 | 2013-12-02 | PG-PAI | Si | |
| 2,260 | 2,010 | JOME1**091964 | 1964-09-19 | 55 | a27098f3a7c39a94da3e138244aaa5f9 | Hombre | 2009-12-14 | 2010-10-04 | PG-PAI | Si | |
| 102,543 | 2,016 | HUMI1**031985 | 1985-03-23 | 34 | a27b7b49cf3d18f9cda0791393552b3b | Hombre | 2016-09-28 | 2017-01-01 | PG-PAI | Si | |
| 58,761 | 2,014 | HUMI1**031985 | 1985-03-27 | 34 | a27b7b49cf3d18f9cda0791393552b3b | Hombre | 2014-06-04 | 2014-11-28 | PG-PAB | Si | |
| 41,791 | 2,013 | HUMI1**071994 | 1994-07-01 | 25 | a27b7b49cf3d18f9cda0791393552b3b | Hombre | 2013-07-01 | 2014-01-20 | PG-PAB | Si | |
| 4,818 | 2,010 | HUMI1**031985 | 1985-03-23 | 34 | a27b7b49cf3d18f9cda0791393552b3b | Hombre | 2010-05-03 | 2010-07-01 | PG-PAI | Si | |
| 136,573 | 2,018 | JADO1**081983 | 1983-08-11 | 36 | a2b6427160333ace569b09be9c711635 | NA | Hombre | 2018-04-24 | 2018-11-16 | PG-PAI | Si |
| 97,832 | 2,016 | JADO1**081983 | 1983-08-11 | 36 | a2b6427160333ace569b09be9c711635 | Hombre | 2016-05-16 | 2016-06-30 | PG-PAI | Si | |
| 90,709 | 2,016 | JADO1**081983 | 1983-08-11 | 36 | a2b6427160333ace569b09be9c711635 | Hombre | 2015-11-03 | 2016-02-29 | PG-PAI | Si | |
| 83,118 | 2,015 | JADO1**081983 | 1983-08-11 | 36 | a2b6427160333ace569b09be9c711635 | Hombre | 2015-05-04 | 2015-10-30 | PG-PAB | Si | |
| 76,210 | 2,015 | JADO1**081993 | 1993-08-11 | 26 | a2b6427160333ace569b09be9c711635 | Hombre | 2015-05-04 | 2015-06-30 | PG-PAI | Si | |
| 115,902 | 2,017 | HEZE2**051976 | 1976-05-25 | 43 | a2e724fb22cff2f0289206beddabf892 | NA | Mujer | 2017-04-26 | 2017-08-24 | M-PAI | Si |
| 109,764 | 2,017 | HEZE2**051975 | 1975-05-25 | 44 | a2e724fb22cff2f0289206beddabf892 | NA | Mujer | 2016-10-06 | 2017-04-20 | PG-PAI | Si |
| 158,885 | 2,019 | CLNI2**111973 | 1973-11-11 | 46 | a31911bb2a15b7f6da3d3103adcc0f1c | NA | Mujer | 2019-06-05 | 2019-09-01 | PG-PAI | Si |
| 98,640 | 2,016 | CLNI2**111973 | 1973-11-11 | 45 | a31911bb2a15b7f6da3d3103adcc0f1c | Mujer | 2016-06-02 | 2016-10-14 | PG-PAB | Si | |
| 130,650 | 2,018 | JUSU1**101982 | 1982-10-28 | 37 | a31ea30b9baf74b8f79242856e03083a | NA | Hombre | 2017-09-07 | 2018-03-01 | PG-PAI | Si |
| 104,912 | 2,016 | JUSU1**101982 | 1982-10-28 | 37 | a31ea30b9baf74b8f79242856e03083a | Hombre | 2016-11-15 | 2017-02-01 | PG-PAI | Si | |
| 56,780 | 2,014 | JUSU1**111982 | 1982-11-11 | 36 | a31ea30b9baf74b8f79242856e03083a | Hombre | 2014-04-08 | 2014-09-17 | PG-PAI | Si | |
| 107,248 | 2,017 | SARO1**101979 | 1979-10-19 | 40 | a338d82ad183bf09153952310c30a2e2 | NA | Hombre | 2016-05-02 | 2017-01-25 | PG-PAB | Si |
| 74,582 | 2,015 | SARO1**101979 | 1979-10-19 | 40 | a338d82ad183bf09153952310c30a2e2 | Hombre | 2015-03-16 | 2015-10-28 | PG-PAB | No | |
| 73,896 | 2,015 | SARO1**101997 | 1997-10-19 | 22 | a338d82ad183bf09153952310c30a2e2 | Hombre | 2015-03-06 | 2015-03-10 | PG-PAI | Si | |
| 103,032 | 2,016 | JOMA1**061976 | 1976-06-29 | 43 | a36055cd3dc35f67cbcaebabea0c0286 | Hombre | 2016-10-11 | 2016-11-02 | PG-PAI | Si | |
| 7,865 | 2,010 | JOMA1**061979 | 1979-06-29 | 40 | a36055cd3dc35f67cbcaebabea0c0286 | Hombre | 2010-09-22 | 2010-10-29 | PG-PAI | Si | |
| 76,915 | 2,015 | CAAR2**041998 | 1998-04-29 | 21 | a3cf1a0d20de1d67b0d57ead69d39f03 | Mujer | 2015-05-12 | 2015-05-17 | M-PR | Si | |
| 71,831 | 2,015 | CAAR2**041988 | 1988-04-29 | 31 | a3cf1a0d20de1d67b0d57ead69d39f03 | Mujer | 2015-01-19 | 2015-05-12 | M-PAI | Si | |
| 57,528 | 2,014 | CAAR2**041988 | 1988-04-29 | 31 | a3cf1a0d20de1d67b0d57ead69d39f03 | Mujer | 2014-05-14 | 2014-10-31 | M-PR | Si | |
| 54,874 | 2,014 | CAAR2**041988 | 1988-04-26 | 31 | a3cf1a0d20de1d67b0d57ead69d39f03 | Mujer | 2014-02-14 | 2014-05-12 | PG-PAB | Si | |
| 130,978 | 2,018 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | NA | Mujer | 2017-11-14 | 2018-02-28 | M-PAI | Si |
| 122,359 | 2,017 | ROBA2**031968 | 1968-03-14 | 51 | a3f933adfed44a7c012462a252534ca0 | NA | Mujer | 2017-02-20 | 2017-11-13 | PG-PAB | Si |
| 112,074 | 2,017 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | NA | Mujer | 2017-01-18 | 2017-02-17 | M-PR | Si |
| 95,587 | 2,016 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | Mujer | 2016-04-04 | 2016-12-16 | M-PAI | Si | |
| 43,140 | 2,013 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | Mujer | 2013-08-19 | 2013-11-06 | M-PR | Si | |
| 37,038 | 2,013 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | Mujer | 2012-10-20 | 2013-05-30 | PG-PAB | Si | |
| 30,713 | 2,012 | ROBA2**031967 | 1967-03-14 | 52 | a3f933adfed44a7c012462a252534ca0 | Mujer | 2012-10-20 | 2012-11-28 | PG-PAB | Si | |
| 89,517 | 2,016 | MALA2**011965 | 1965-01-02 | 54 | a40ad27528c1644fbae1e67954896ea1 | Mujer | 2015-09-23 | 2016-02-02 | M-PR | Si | |
| 75,426 | 2,015 | MALA2**011965 | 1965-01-02 | 54 | a40ad27528c1644fbae1e67954896ea1 | Mujer | 2015-04-02 | 2015-09-23 | PG-PAI | Si | |
| 34,812 | 2,013 | MALA2**011955 | 1955-01-02 | 64 | a40ad27528c1644fbae1e67954896ea1 | Mujer | 2012-11-05 | 2013-05-09 | PG-PAB | Si | |
| 111,775 | 2,017 | VIMU1**031974 | 1974-03-13 | 45 | a40e2c8a2c7ed05d59f81b7c2af07824 | NA | Hombre | 2016-12-20 | 2017-04-01 | PG-PAI | Si |
| 97,868 | 2,016 | VIMU1**031974 | 1974-03-13 | 45 | a40e2c8a2c7ed05d59f81b7c2af07824 | Hombre | 2016-05-31 | 2016-08-18 | PG-PAI | Si | |
| 76,474 | 2,015 | VIMU1**031974 | 1974-03-13 | 45 | a40e2c8a2c7ed05d59f81b7c2af07824 | Hombre | 2015-05-19 | 2016-01-21 | PG-PAB | Si | |
| 13,989 | 2,011 | VIMU1**031973 | 1973-03-13 | 46 | a40e2c8a2c7ed05d59f81b7c2af07824 | Hombre | 2011-02-23 | 2011-06-01 | PG-PAI | Si | |
| 153,102 | 2,019 | PRAR2**041990 | 1990-04-05 | 29 | a41dd7a7f6f386aae89c2b80396c1e7c | NA | Mujer | 2019-01-21 | 2019-02-04 | M-PR | Si |
| 74,225 | 2,015 | PRAR2**041990 | 1990-04-04 | 29 | a41dd7a7f6f386aae89c2b80396c1e7c | Mujer | 2015-03-25 | 2015-12-17 | M-PR | Si | |
| 71,977 | 2,015 | PRAR2**041990 | 1990-04-05 | 29 | a41dd7a7f6f386aae89c2b80396c1e7c | Mujer | 2015-01-28 | 2015-02-19 | M-PR | No | |
| 57,803 | 2,014 | PRAR2**031994 | 1994-03-05 | 25 | a41dd7a7f6f386aae89c2b80396c1e7c | Mujer | 2014-05-22 | 2014-12-29 | PG-PAI | Si | |
| 94,628 | 2,016 | PAMA1**071976 | 1976-07-25 | 43 | a447bd1e9bf4d06196fa5831d4f0a0fc | Hombre | 2016-03-14 | 2016-04-28 | PG-PAI | Si | |
| 52,238 | 2,014 | PAMA1**061976 | 1976-06-25 | 43 | a447bd1e9bf4d06196fa5831d4f0a0fc | Hombre | 2013-11-12 | 2014-02-28 | PG-PAI | Si | |
| 22,600 | 2,012 | PAMA1**121987 | 1987-12-06 | 31 | a447bd1e9bf4d06196fa5831d4f0a0fc | Hombre | 2011-10-03 | 2012-05-30 | PG-PAI | Si | |
| 158,532 | 2,019 | OSAE1**031972 | 1972-03-23 | 47 | a47f95e459f1ed604f08b34259cce763 | NA | Hombre | 2019-02-19 | 2019-07-24 | PG-PAI | Si |
| 131,522 | 2,018 | OSAE1**031972 | 1972-03-21 | 47 | a47f95e459f1ed604f08b34259cce763 | NA | Hombre | 2017-10-16 | 2018-04-24 | PG-PAI | Si |
| 108,544 | 2,017 | OSAE1**031972 | 1972-03-23 | 47 | a47f95e459f1ed604f08b34259cce763 | NA | Hombre | 2016-06-16 | 2017-04-03 | PG-PAB | Si |
| 48,131 | 2,014 | OSAE1**031973 | 1973-03-23 | 46 | a47f95e459f1ed604f08b34259cce763 | Hombre | 2011-03-09 | 2014-03-26 | PG-PAB | No | |
| 118,511 | 2,017 | ALME1**101986 | 1986-10-13 | 33 | a4910dd0cf3daec8a1ed27e853cdaeeb | NA | Hombre | 2017-06-12 | 2017-10-10 | PG-PAB | Si |
| 78,611 | 2,015 | ALME1**071987 | 1987-07-01 | 32 | a4910dd0cf3daec8a1ed27e853cdaeeb | Hombre | 2015-07-01 | 2015-08-04 | PG-PAB | Si | |
| 96,297 | 2,016 | LUCI1**091972 | 1972-09-04 | 47 | a53cf18eb22d9ae435478cb34a687fbe | Hombre | 2016-04-18 | 2016-11-29 | PG-PAI | Si | |
| 67,857 | 2,015 | LUCI1**091973 | 1973-09-04 | 46 | a53cf18eb22d9ae435478cb34a687fbe | Hombre | 2014-07-22 | 2015-03-13 | PG-PR | Si | |
| 22,406 | 2,012 | LUCI1**091973 | 1973-09-04 | 46 | a53cf18eb22d9ae435478cb34a687fbe | Hombre | 2011-09-07 | 2012-05-02 | PG-PR | Si | |
| 21,447 | 2,012 | MARE2**051954 | 1954-05-08 | 65 | a57188f65c8295a8af0e970779339bb8 | Mujer | 2011-05-02 | 2012-07-31 | PG-PAB | Si | |
| 4,715 | 2,010 | MARE2**051956 | 1956-05-08 | 63 | a57188f65c8295a8af0e970779339bb8 | Mujer | 2009-01-29 | 2010-06-30 | PG-PAB | Si | |
| 148,945 | 2,019 | IVAL1**011962 | 1962-01-17 | 57 | a601672869ea418bf94fc64bb4be28d4 | NA | Hombre | 2017-02-15 | NA | PG-PAI | Si |
| 107,563 | 2,017 | IV-A1**011996 | 1996-01-17 | 23 | a601672869ea418bf94fc64bb4be28d4 | NA | Hombre | 2016-04-27 | 2017-02-10 | PG-PAI | Si |
| 130,817 | 2,018 | EDTO1**071988 | 1988-07-29 | 31 | a655b0dde09b864c310a4820dd5448c3 | NA | Hombre | 2017-11-08 | 2018-02-01 | PG-PR | Si |
| 122,726 | 2,017 | EDTO1**071999 | 1999-07-29 | 20 | a655b0dde09b864c310a4820dd5448c3 | NA | Hombre | 2017-10-02 | 2017-11-07 | PG-PAI | Si |
| 150,485 | 2,019 | MAHE1**011974 | 1974-01-21 | 45 | a66b544a00272ff21158f230bdea96b0 | NA | Hombre | 2018-11-22 | 2019-05-08 | PG-PAI | Si |
| 100,999 | 2,016 | MAHE1**011974 | 1974-01-21 | 45 | a66b544a00272ff21158f230bdea96b0 | Hombre | 2016-08-29 | 2016-10-20 | PG-PAI | Si | |
| 49,373 | 2,014 | MAHE1**011984 | 1984-01-21 | 35 | a66b544a00272ff21158f230bdea96b0 | Hombre | 2013-06-10 | 2014-11-25 | PG-PAI | Si | |
| 72,516 | 2,015 | RIDU1**021980 | 1980-02-02 | 39 | a66f99f488780a547787079f4d817596 | Hombre | 2015-02-09 | 2015-06-01 | PG-PAI | Si | |
| 49,492 | 2,014 | RIDU1**121980 | 1980-12-02 | 38 | a66f99f488780a547787079f4d817596 | Hombre | 2013-06-03 | 2014-08-14 | PG-PAI | Si | |
| 70,201 | 2,015 | LOLA2**111977 | 1977-11-25 | 41 | a7170e374e09617bc63c79ec61ee575d | Mujer | 2014-09-09 | 2015-03-20 | M-PAI | Si | |
| 28,448 | 2,012 | LOLA2**111975 | 1975-11-25 | 43 | a7170e374e09617bc63c79ec61ee575d | Mujer | 2012-06-01 | 2012-12-20 | M-PAI | Si | |
| 161,334 | 2,019 | CLAN1**051982 | 1982-05-23 | 37 | a717d6e72aa0e41d61f24091832d1ddf | NA | Hombre | 2019-09-02 | 2019-10-03 | PG-PR | Si |
| 160,720 | 2,019 | CLAN1**051983 | 1983-05-23 | 36 | a717d6e72aa0e41d61f24091832d1ddf | NA | Hombre | 2019-07-03 | 2019-08-30 | PG-PAI | No |
| 142,752 | 2,018 | CLAN1**051982 | 1982-05-23 | 37 | a717d6e72aa0e41d61f24091832d1ddf | NA | Hombre | 2018-09-05 | 2018-10-22 | PG-PAI | Si |
| 82,938 | 2,015 | CLAN1**051982 | 1982-05-23 | 37 | a717d6e72aa0e41d61f24091832d1ddf | Hombre | 2015-10-01 | 2016-04-01 | PG-PAI | Si | |
| 122,566 | 2,017 | JOSE1**041996 | 1996-04-11 | 23 | a74f40bff841d347c351895e2b0b068d | NA | Hombre | 2017-09-25 | 2017-12-01 | PG-PAI | Si |
| 58,465 | 2,014 | JOSE1**041986 | 1986-04-11 | 33 | a74f40bff841d347c351895e2b0b068d | Hombre | 2014-06-10 | 2014-11-24 | PG-PAI | Si | |
| 53,575 | 2,014 | JOSE1**041986 | 1986-04-11 | 33 | a74f40bff841d347c351895e2b0b068d | Hombre | 2014-01-06 | 2014-06-11 | PG-PAB | Si | |
| 64,607 | 2,014 | ALAM1**121970 | 1970-12-26 | 48 | a755c8b66a9d2164b5793e77234a3bb5 | Hombre | 2014-10-23 | 2015-02-02 | PG-PAB | Si | |
| 35,768 | 2,013 | ALAM1**021970 | 1970-02-28 | 49 | a755c8b66a9d2164b5793e77234a3bb5 | Hombre | 2013-01-01 | 2013-08-01 | PG-PAB | Si | |
| 49,629 | 2,014 | MAOR1**081972 | 1972-08-15 | 47 | a801e6aac193eedb61e9f20daaf9ad0f | Hombre | 2013-05-29 | 2014-03-20 | PG-PAB | Si | |
| 18,344 | 2,011 | MAOR1**081975 | 1975-08-15 | 44 | a801e6aac193eedb61e9f20daaf9ad0f | Hombre | 2011-08-23 | 2011-08-26 | PG-PR | Si | |
| 136,217 | 2,018 | GAOL1**011985 | 1985-01-26 | 34 | a82d37e1aab4c33eb4b139ccce4b5e40 | NA | Hombre | 2018-04-16 | 2018-11-30 | PG-PR | Si |
| 135,577 | 2,018 | GAOL1**011985 | 1985-01-26 | 34 | a82d37e1aab4c33eb4b139ccce4b5e40 | NA | Hombre | 2018-02-20 | 2018-04-11 | PG-PAI | Si |
| 130,185 | 2,018 | GAOL1**011995 | 1995-01-26 | 24 | a82d37e1aab4c33eb4b139ccce4b5e40 | NA | Hombre | 2017-10-23 | 2018-02-06 | PG-PR | Si |
| 122,392 | 2,017 | GAOL1**021985 | 1985-02-26 | 34 | a82d37e1aab4c33eb4b139ccce4b5e40 | NA | Hombre | 2017-08-18 | 2017-10-18 | PG-PAI | Si |
| 80,985 | 2,015 | GAOL1**011985 | 1985-01-26 | 34 | a82d37e1aab4c33eb4b139ccce4b5e40 | Hombre | 2015-08-19 | 2016-01-05 | PG-PAI | No | |
| 12,909 | 2,011 | GAOL1**011985 | 1985-01-26 | 34 | a82d37e1aab4c33eb4b139ccce4b5e40 | Hombre | 2011-01-13 | 2011-08-09 | PG-PAI | Si | |
| 127,382 | 2,018 | LEMU1**091980 | 1980-09-16 | 39 | a867251a0c1ff3f3df8ba369802445d5 | NA | Hombre | 2017-04-28 | 2018-07-04 | PG-PAI | Si |
| 28,418 | 2,012 | LEMU1**091982 | 1982-09-16 | 37 | a867251a0c1ff3f3df8ba369802445d5 | Hombre | 2012-07-19 | 2012-08-01 | PG-PR | Si | |
| 89,531 | 2,016 | GLGL2**091943 | 1943-09-25 | 76 | a8f5b8267c42e558757e7e6ef8695c7c | Mujer | 2015-09-03 | 2016-10-04 | M-PAI | Si | |
| 975 | 2,010 | GLGL2**091949 | 1949-09-25 | 70 | a8f5b8267c42e558757e7e6ef8695c7c | Mujer | 2008-01-02 | 2010-03-30 | M-PAI | Si | |
| 94,274 | 2,016 | BACA1**071992 | 1992-07-03 | 27 | a91ebc49e725f0638be44c6e17445adb | Hombre | 2015-10-01 | 2016-04-15 | PG-PR | Si | |
| 89,750 | 2,016 | BACA1**071992 | 1992-07-03 | 27 | a91ebc49e725f0638be44c6e17445adb | Hombre | 2015-09-23 | NA | PG-PR | Si | |
| 54,834 | 2,014 | VACA1**071994 | 1994-07-03 | 25 | a91ebc49e725f0638be44c6e17445adb | Hombre | 2014-01-30 | 2014-02-07 | PG-PR | Si | |
| 66,688 | 2,015 | GUFE2**111982 | 1982-11-02 | 37 | a94db572ca3f117291a1c43cab850e18 | Mujer | 2014-03-17 | 2015-03-12 | M-PR | Si | |
| 51,081 | 2,014 | GIFE2**111982 | 1982-11-11 | 36 | a94db572ca3f117291a1c43cab850e18 | Mujer | 2013-10-04 | 2014-03-18 | M-PR | Si | |
| 153,462 | 2,019 | RESO1**051998 | 1998-05-22 | 21 | a9789849315bbf06aeb7c51895d16953 | NA | Hombre | 2019-02-14 | NA | PG-PAI | Si |
| 111,075 | 2,017 | RESO1**051996 | 1996-05-22 | 23 | a9789849315bbf06aeb7c51895d16953 | NA | Hombre | 2016-11-11 | 2017-12-12 | PG-PAI | Si |
| 58,736 | 2,014 | JUSE1**071988 | 1988-07-21 | 31 | a98bbb2a4a0e9796441a3ed5d24cfe8d | Hombre | 2014-06-20 | 2014-09-17 | PG-PR | No | |
| 33,507 | 2,013 | JUSE1**071983 | 1983-07-21 | 36 | a98bbb2a4a0e9796441a3ed5d24cfe8d | Hombre | 2012-08-03 | 2013-09-24 | PG-PR | Si | |
| 98,147 | 2,016 | JOMO1**011971 | 1971-01-30 | 48 | a99ffd68cc0f8887c09631c52de3e2bf | Hombre | 2016-06-02 | 2016-12-01 | PG-PAI | Si | |
| 81,478 | 2,015 | JOMO1**011979 | 1979-01-30 | 40 | a99ffd68cc0f8887c09631c52de3e2bf | Hombre | 2015-09-16 | 2016-01-13 | PG-PAI | Si | |
| 35,861 | 2,013 | STVI2**121987 | 1987-12-15 | 31 | a9a2f7f65e7daa65da2edaca0fa427a5 | Mujer | 2012-11-29 | 2013-01-31 | M-PAI | Si | |
| 31,950 | 2,012 | STVI2**121983 | 1983-12-15 | 35 | a9a2f7f65e7daa65da2edaca0fa427a5 | Mujer | 2012-11-29 | 2013-01-02 | M-PAB | Si | |
| 159,678 | 2,019 | CROR1**081974 | 1974-08-10 | 45 | a9e8b7ca1b7cc2d0dcb6389f42fcabaf | NA | Hombre | 2019-07-23 | NA | PG-PAI | Si |
| 109,825 | 2,017 | CROR1**081974 | 1974-08-10 | 45 | a9e8b7ca1b7cc2d0dcb6389f42fcabaf | NA | Hombre | 2016-08-23 | 2017-03-16 | PG-PAB | Si |
| 4,494 | 2,010 | CROR1**121974 | 1974-12-10 | 44 | a9e8b7ca1b7cc2d0dcb6389f42fcabaf | Hombre | 2010-03-22 | 2010-09-07 | Otro | No | |
| 32,879 | 2,013 | ANFU2**081962 | 1962-08-26 | 57 | a9ef733713e00c63cdd2cf2f9b411f33 | Mujer | 2012-05-09 | 2013-02-19 | PG-PAI | Si | |
| 17,492 | 2,011 | ANFU2**081962 | 1962-08-26 | 57 | a9ef733713e00c63cdd2cf2f9b411f33 | Mujer | 2011-07-15 | 2012-01-05 | PG-PAI | Si | |
| 11,762 | 2,011 | ANFU2**081962 | 1962-08-26 | 57 | a9ef733713e00c63cdd2cf2f9b411f33 | Mujer | 2010-10-25 | 2011-06-30 | M-PR | Si | |
| 4,336 | 2,010 | ANFU2**081963 | 1963-08-25 | 56 | a9ef733713e00c63cdd2cf2f9b411f33 | Mujer | 2010-03-22 | 2010-10-22 | PG-PAI | Si | |
| 146,503 | 2,019 | GACO1**091981 | 1981-09-30 | 38 | aa0616a6c0999907cddf981587736fb4 | NA | Hombre | 2018-01-24 | 2019-03-29 | PG-PAI | Si |
| 94,059 | 2,016 | GACO1**091982 | 1982-09-30 | 37 | aa0616a6c0999907cddf981587736fb4 | Hombre | 2016-02-24 | 2016-12-14 | PG-PAI | Si | |
| 60,948 | 2,014 | JUHI1**031978 | 1978-03-23 | 41 | aa0a2d8d5b657729eaedd5984662f5d2 | Hombre | 2014-08-04 | 2015-01-30 | PG-PAB | Si | |
| 34,766 | 2,013 | JUHI1**031979 | 1979-03-26 | 40 | aa0a2d8d5b657729eaedd5984662f5d2 | Hombre | 2012-11-05 | 2013-08-26 | PG-PAB | No | |
| 54,160 | 2,014 | DAGU1**091961 | 1961-09-17 | 58 | aa0ae37c7f0eaffce61dd6833a07948b | Hombre | 2014-02-03 | 2014-06-30 | PG-PAI | Si | |
| 41,817 | 2,013 | DAGU1**071962 | 1962-07-02 | 57 | aa0ae37c7f0eaffce61dd6833a07948b | Hombre | 2013-07-08 | 2013-10-14 | PG-PAI | Si | |
| 132,027 | 2,018 | MALA1**021999 | 1999-02-08 | 20 | aa292146719cc76bea2786b6895da37a | NA | Hombre | 2017-11-20 | 2018-05-14 | PG-PAB | Si |
| 122,575 | 2,017 | MALA1**021975 | 1975-02-08 | 44 | aa292146719cc76bea2786b6895da37a | NA | Hombre | 2017-09-06 | 2017-11-03 | PG-PR | Si |
| 112,047 | 2,017 | MALA1**021975 | 1975-02-08 | 44 | aa292146719cc76bea2786b6895da37a | NA | Hombre | 2017-01-16 | 2017-08-02 | PG-PR | Si |
| 90,422 | 2,016 | MALA1**021975 | 1975-02-08 | 44 | aa292146719cc76bea2786b6895da37a | Hombre | 2015-10-09 | 2017-01-09 | PG-PAB | Si | |
| 77,587 | 2,015 | MALA1**021975 | 1975-02-02 | 44 | aa292146719cc76bea2786b6895da37a | Hombre | 2015-05-20 | 2015-10-02 | PG-PR | Si | |
| 66,706 | 2,015 | MALA1**021975 | 1975-02-08 | 44 | aa292146719cc76bea2786b6895da37a | Hombre | 2014-03-19 | 2015-06-01 | PG-PAI | Si | |
| 81,963 | 2,015 | LUMO1**051981 | 1981-05-15 | 38 | aa2bd1020e900fbcd439f081ae2b5ad8 | Hombre | 2015-09-29 | 2015-11-16 | PG-PR | Si | |
| 56,877 | 2,014 | LUMO1**051980 | 1980-05-15 | 39 | aa2bd1020e900fbcd439f081ae2b5ad8 | Hombre | 2014-04-16 | 2014-11-14 | PG-PAI | Si | |
| 149,312 | 2,019 | CAGA2**061976 | 1976-06-12 | 43 | aa610b8def576e0cd6cb73e6a9f8228b | NA | Mujer | 2018-09-04 | 2019-07-01 | M-PR | Si |
| 132,792 | 2,018 | CAGA2**061976 | 1976-06-12 | 43 | aa610b8def576e0cd6cb73e6a9f8228b | NA | Mujer | 2018-01-02 | 2018-09-03 | PG-PAI | Si |
| 131,971 | 2,018 | CAGA2**061978 | 1978-06-12 | 41 | aa610b8def576e0cd6cb73e6a9f8228b | NA | Mujer | 2017-12-01 | 2018-01-01 | PG-PAB | Si |
| 26,929 | 2,012 | MACA2**121982 | 1982-12-05 | 36 | aa705475add7ddddc3af02709dd03189 | Mujer | 2012-05-15 | 2012-10-31 | PG-PAI | Si | |
| 23,093 | 2,012 | MACA2**121989 | 1989-12-05 | 29 | aa705475add7ddddc3af02709dd03189 | Mujer | 2011-11-10 | 2012-03-05 | M-PAI | Si | |
| 137,781 | 2,018 | CAAL2**041985 | 1985-04-02 | 34 | aa868b50834eb0c56328f93dbbbeaf76 | NA | Mujer | 2018-05-03 | 2018-07-12 | M-PAI | Si |
| 131,833 | 2,018 | CAAL2**041988 | 1988-04-02 | 31 | aa868b50834eb0c56328f93dbbbeaf76 | NA | Mujer | 2017-12-04 | 2018-03-28 | PG-PAB | Si |
| 114,898 | 2,017 | LURO1**071957 | 1957-07-22 | 62 | aa869cab089d0db2c64bb18fe3a4dc9d | NA | Hombre | 2017-03-28 | 2017-12-19 | PG-PR | Si |
| 81,680 | 2,015 | LURO1**071959 | 1959-07-22 | 60 | aa869cab089d0db2c64bb18fe3a4dc9d | Hombre | 2015-09-16 | 2015-10-15 | PG-PR | Si | |
| 33,384 | 2,013 | LURO1**071959 | 1959-07-22 | 60 | aa869cab089d0db2c64bb18fe3a4dc9d | Hombre | 2012-07-03 | 2013-01-03 | PG-PR | Si | |
| 129,177 | 2,018 | GUTE1**021999 | 1999-02-15 | 20 | aab9137100f67cf8d78e917bdac8673d | NA | Hombre | 2017-08-28 | 2018-06-13 | PG-PAI | Si |
| 39,192 | 2,013 | GUTE1**021963 | 1963-02-14 | 56 | aab9137100f67cf8d78e917bdac8673d | Hombre | 2013-04-23 | 2013-07-01 | PG-PR | Si | |
| 25,443 | 2,012 | MACA2**021972 | 1972-02-05 | 47 | aadc1ce089dbccb436705c5785bf35d6 | Mujer | 2012-03-05 | 2012-09-20 | M-PR | Si | |
| 25,002 | 2,012 | MACA2**061973 | 1973-06-06 | 46 | aadc1ce089dbccb436705c5785bf35d6 | Mujer | 2012-02-13 | 2012-03-05 | M-PAI | Si | |
| 13,296 | 2,011 | MACA2**021972 | 1972-02-05 | 47 | aadc1ce089dbccb436705c5785bf35d6 | Mujer | 2011-01-21 | 2011-05-31 | M-PAI | Si | |
| 2,337 | 2,010 | MACA2**021972 | 1972-02-05 | 47 | aadc1ce089dbccb436705c5785bf35d6 | Mujer | 2009-07-02 | 2010-11-30 | PG-PAI | Si | |
| 162,951 | 2,019 | GAWH1**081989 | 1989-08-17 | 30 | ab18a4cecb5a0773ae5455777f161691 | NA | Hombre | 2019-10-15 | NA | PG-PAI | Si |
| 123,433 | 2,017 | GAWH1**081999 | 1999-08-17 | 20 | ab18a4cecb5a0773ae5455777f161691 | NA | Hombre | 2017-09-26 | 2017-12-20 | PG-PAI | Si |
| 57,129 | 2,014 | MAVA1**031979 | 1979-03-13 | 40 | ab3b763401bb5abaac26c0a22956ea82 | Hombre | 2014-04-23 | 2014-10-01 | PG-PAI | Si | |
| 35,094 | 2,013 | ALCO1**121977 | 1977-12-12 | 41 | ab3b763401bb5abaac26c0a22956ea82 | Hombre | 2012-12-03 | 2013-07-25 | PG-PAI | Si | |
| 76,907 | 2,015 | GUVA1**111974 | 1974-11-20 | 44 | ab51b2e5b339854f6dda7983aa5b1eab | Hombre | 2015-05-18 | 2015-11-19 | PG-PR | Si | |
| 48,877 | 2,014 | GUVA1**111976 | 1976-11-20 | 42 | ab51b2e5b339854f6dda7983aa5b1eab | Hombre | 2013-04-22 | 2014-04-16 | PG-PR | Si | |
| 34,241 | 2,013 | GUVA1**111976 | 1976-11-20 | 42 | ab51b2e5b339854f6dda7983aa5b1eab | Hombre | 2012-10-01 | 2013-04-19 | PG-PAI | Si | |
| 28,856 | 2,012 | GUVA1**111976 | 1976-11-20 | 42 | ab51b2e5b339854f6dda7983aa5b1eab | Hombre | 2012-07-09 | 2012-09-22 | PG-PR | Si | |
| 23,951 | 2,012 | GUVA1**111976 | 1976-11-20 | 42 | ab51b2e5b339854f6dda7983aa5b1eab | Hombre | 2012-01-04 | 2012-07-03 | PG-PAI | Si | |
| 140,689 | 2,018 | JOCA1**061986 | 1986-06-28 | 33 | ab571bfd444067b696242ab08400646f | NA | Hombre | 2018-08-02 | 2018-10-08 | PG-PAB | Si |
| 19,661 | 2,011 | JOCA1**111992 | 1992-11-10 | 26 | ab571bfd444067b696242ab08400646f | Hombre | 2011-10-24 | 2012-01-23 | PG-PAB | Si | |
| 122,362 | 2,017 | BEFL1**071987 | 1987-07-16 | 32 | ab5b7477c8e50d15b2864c089575569b | NA | Hombre | 2017-09-16 | 2017-11-01 | PG-PR | Si |
| 119,660 | 2,017 | BEFL1**071999 | 1999-07-16 | 20 | ab5b7477c8e50d15b2864c089575569b | NA | Hombre | 2017-07-26 | 2017-09-15 | PG-PAI | Si |
| 29,755 | 2,012 | MACA2**121985 | 1985-12-31 | 33 | abae71b5e45b660fe38ae8f396a434e9 | Mujer | 2012-09-04 | 2012-12-07 | PG-PAB | Si | |
| 24,879 | 2,012 | MACA2**121986 | 1986-12-31 | 32 | abae71b5e45b660fe38ae8f396a434e9 | Mujer | 2012-02-13 | 2012-06-25 | PG-PAB | Si | |
| 14,090 | 2,011 | MACA2**121986 | 1986-12-31 | 32 | abae71b5e45b660fe38ae8f396a434e9 | Mujer | 2011-01-24 | 2011-08-19 | M-PR | Si | |
| 1,239 | 2,010 | MACA2**121986 | 1986-12-31 | 32 | abae71b5e45b660fe38ae8f396a434e9 | Mujer | 2009-09-23 | 2010-03-03 | M-PR | Si | |
| 149,428 | 2,019 | YECH2**011983 | 1983-01-13 | 36 | abe310c84a4fc081f4eedf8004680207 | NA | Mujer | 2018-09-28 | 2019-03-09 | M-PR | Si |
| 129,059 | 2,018 | YECH2**011983 | 1983-01-13 | 36 | abe310c84a4fc081f4eedf8004680207 | NA | Mujer | 2017-08-30 | 2018-06-25 | M-PAI | Si |
| 116,427 | 2,017 | JECH2**011983 | 1983-01-13 | 36 | abe310c84a4fc081f4eedf8004680207 | NA | Mujer | 2017-04-28 | 2017-08-29 | PG-PAB | Si |
| 90,353 | 2,016 | YECH2**011982 | 1982-01-13 | 37 | abe310c84a4fc081f4eedf8004680207 | Mujer | 2015-10-26 | 2016-12-09 | PG-PAI | Si | |
| 29,623 | 2,012 | YECH2**011983 | 1983-01-13 | 36 | abe310c84a4fc081f4eedf8004680207 | Mujer | 2012-08-06 | 2012-11-09 | M-PAB | Si | |
| 112,715 | 2,017 | JUOR1**041961 | 1961-04-11 | 58 | ac3f7708920e85017399664213d4cc9b | NA | Hombre | 2017-01-09 | 2017-07-01 | PG-PR | Si |
| 98,975 | 2,016 | JUOR1**061996 | 1996-06-03 | 23 | ac3f7708920e85017399664213d4cc9b | Hombre | 2016-06-15 | 2016-12-01 | PG-PAI | Si | |
| 43,988 | 2,013 | PACA2**071994 | 1994-07-28 | 25 | ac4e1b1c7674a39ed1b3a885db2d953d | Mujer | 2013-08-02 | 2013-12-10 | PG-PAB | Si | |
| 42,208 | 2,013 | PACA2**071990 | 1990-07-28 | 29 | ac4e1b1c7674a39ed1b3a885db2d953d | Mujer | 2013-07-22 | 2013-07-31 | M-PR | Si | |
| 34,487 | 2,013 | PACA2**071990 | 1990-07-28 | 29 | ac4e1b1c7674a39ed1b3a885db2d953d | Mujer | 2012-10-08 | 2013-05-28 | PG-PAB | Si | |
| 27,899 | 2,012 | PACA2**071990 | 1990-07-28 | 29 | ac4e1b1c7674a39ed1b3a885db2d953d | Mujer | 2012-06-25 | 2012-10-05 | M-PR | Si | |
| 27,360 | 2,012 | PACA2**071990 | 1990-07-28 | 29 | ac4e1b1c7674a39ed1b3a885db2d953d | Mujer | 2012-04-04 | 2012-06-22 | PG-PAB | Si | |
| 109,477 | 2,017 | FRRE1**011976 | 1976-01-21 | 43 | ac96e82ed140076547cd59ce765e74cc | NA | Hombre | 2016-09-20 | 2017-04-01 | PG-PAI | Si |
| 64,623 | 2,014 | FRRE1**011976 | 1976-01-21 | 43 | ac96e82ed140076547cd59ce765e74cc | Hombre | 2014-11-14 | 2014-12-19 | PG-PAI | Si | |
| 44,922 | 2,013 | FRRE1**011977 | 1977-01-21 | 42 | ac96e82ed140076547cd59ce765e74cc | Hombre | 2013-10-07 | 2013-12-03 | PG-PAI | Si | |
| 107,086 | 2,017 | JUCA1**111972 | 1972-11-27 | 46 | aca2eab5a84d888e6a4463cbabd4da4d | NA | Hombre | 2015-10-22 | 2017-01-02 | PG-PR | Si |
| 76,752 | 2,015 | JUCA1**111979 | 1979-11-27 | 39 | aca2eab5a84d888e6a4463cbabd4da4d | Hombre | 2015-05-04 | 2015-10-21 | PG-PAI | Si | |
| 110,346 | 2,017 | CRGA1**101996 | 1996-10-19 | 23 | acac1fe4b6d7991c2a8d4cc0b911554d | NA | Hombre | 2016-11-14 | 2017-01-31 | PG-PAB | Si |
| 82,427 | 2,015 | CRGA1**101978 | 1978-10-19 | 41 | acac1fe4b6d7991c2a8d4cc0b911554d | Hombre | 2015-10-13 | 2016-01-04 | PG-PAB | Si | |
| 61,370 | 2,014 | CRGA1**101978 | 1978-10-19 | 41 | acac1fe4b6d7991c2a8d4cc0b911554d | Hombre | 2014-08-26 | 2014-12-11 | PG-PAB | Si | |
| 60,131 | 2,014 | LERO1**051985 | 1985-05-02 | 34 | acb63474ec2046167d73c2a9cb1fa948 | Hombre | 2014-07-01 | 2014-09-30 | PG-PAB | Si | |
| 42,712 | 2,013 | LERO1**041986 | 1986-04-29 | 33 | acb63474ec2046167d73c2a9cb1fa948 | Hombre | 2013-07-24 | 2013-10-30 | PG-PAB | Si | |
| 130,662 | 2,018 | TASA2**101971 | 1971-10-26 | 48 | acc0bbaea24fb48c65a49b9d7df7348b | NA | Mujer | 2017-10-25 | 2018-05-11 | M-PR | Si |
| 92,394 | 2,016 | TASA2**101971 | 1971-10-26 | 48 | acc0bbaea24fb48c65a49b9d7df7348b | Mujer | 2016-01-05 | 2016-08-09 | M-PR | Si | |
| 74,120 | 2,015 | TASA2**101971 | 1971-10-26 | 48 | acc0bbaea24fb48c65a49b9d7df7348b | Mujer | 2015-02-09 | 2015-06-12 | M-PR | Si | |
| 66,457 | 2,015 | TASA2**101971 | 1971-10-26 | 48 | acc0bbaea24fb48c65a49b9d7df7348b | Mujer | 2014-02-20 | 2014-08-12 | M-PR | Si | |
| 21,782 | 2,012 | TASA2**101972 | 1972-10-26 | 47 | acc0bbaea24fb48c65a49b9d7df7348b | Mujer | 2011-06-29 | 2013-01-23 | M-PR | Si | |
| 141,604 | 2,018 | FAQU1**121986 | 1986-12-23 | 32 | acc20a62d40cb17f81e1469ffc7fa130 | NA | Hombre | 2018-08-22 | 2018-09-28 | PG-PAI | Si |
| 98,773 | 2,016 | FAQU1**061986 | 1986-06-23 | 33 | acc20a62d40cb17f81e1469ffc7fa130 | Hombre | 2016-06-16 | 2016-06-30 | PG-PR | Si | |
| 92,036 | 2,016 | FAQU1**121986 | 1986-12-23 | 32 | acc20a62d40cb17f81e1469ffc7fa130 | Hombre | 2015-12-22 | 2016-03-07 | PG-PAI | Si | |
| 30,064 | 2,012 | FAQU1**121986 | 1986-12-23 | 32 | acc20a62d40cb17f81e1469ffc7fa130 | Hombre | 2012-07-19 | 2012-12-03 | PG-PAI | Si | |
| 98,960 | 2,016 | MARE1**051975 | 1975-05-29 | 44 | acd2a7c8088d1fe8e22b3fc5dd01bfc1 | Hombre | 2016-06-15 | 2016-08-01 | PG-PAB | Si | |
| 37,912 | 2,013 | MARE2**051975 | 1975-05-29 | 44 | acd2a7c8088d1fe8e22b3fc5dd01bfc1 | Mujer | 2013-03-04 | 2013-05-31 | PG-PAI | Si | |
| 18,246 | 2,011 | MARE2**071992 | 1992-07-05 | 27 | acd2a7c8088d1fe8e22b3fc5dd01bfc1 | Mujer | 2011-07-07 | 2011-11-30 | M-PAI | Si | |
| 95,993 | 2,016 | JOBA1**041977 | 1977-04-03 | 42 | ad089b3476d83a9bc52b098f16a5e736 | Hombre | 2016-04-20 | 2016-05-17 | PG-PAI | Si | |
| 95,173 | 2,016 | JOBA1**041978 | 1978-04-02 | 41 | ad089b3476d83a9bc52b098f16a5e736 | Hombre | 2016-02-05 | 2016-04-19 | PG-PAI | Si | |
| 148,943 | 2,019 | MAGA2**101980 | 1980-10-23 | 39 | ad2fdc81e082adeb100fdb98376d9014 | NA | Mujer | 2018-07-27 | 2019-01-28 | PG-PAI | Si |
| 81,645 | 2,015 | MAGA2**101990 | 1990-10-23 | 29 | ad2fdc81e082adeb100fdb98376d9014 | Mujer | 2015-08-24 | 2016-03-18 | PG-PAI | Si | |
| 76,417 | 2,015 | VIOL1**101989 | 1989-10-09 | 30 | ad60cf50ca6ec5ea2721497bd4568d46 | Hombre | 2015-05-07 | 2015-06-10 | PG-PR | Si | |
| 72,178 | 2,015 | VIOL1**101998 | 1998-10-09 | 21 | ad60cf50ca6ec5ea2721497bd4568d46 | Hombre | 2015-01-20 | 2015-05-05 | PG-PAI | Si | |
| 119,969 | 2,017 | ELRO2**101974 | 1974-10-30 | 45 | ad9865591fda0c5cee4e863de96bc4fd | NA | Mujer | 2017-07-27 | 2017-12-13 | M-PAI | Si |
| 118,121 | 2,017 | ELRO2**101974 | 1974-10-30 | 45 | ad9865591fda0c5cee4e863de96bc4fd | NA | Mujer | 2017-05-15 | 2017-07-20 | PG-PAI | Si |
| 48,593 | 2,014 | ELRO2**101971 | 1971-10-30 | 48 | ad9865591fda0c5cee4e863de96bc4fd | Mujer | 2013-03-01 | 2014-07-01 | PG-PAI | Si | |
| 53,541 | 2,014 | CALA1**101976 | 1976-10-29 | 43 | ade9d947db9e6c5f04613fb8b1eb0ab1 | Hombre | 2013-12-28 | 2014-01-18 | PG-PR | Si | |
| 24,303 | 2,012 | CALA1**101977 | 1977-10-29 | 42 | ade9d947db9e6c5f04613fb8b1eb0ab1 | Hombre | 2012-01-09 | 2012-05-16 | PG-PR | Si | |
| 11,121 | 2,011 | CALA1**101977 | 1977-10-29 | 42 | ade9d947db9e6c5f04613fb8b1eb0ab1 | Hombre | 2010-08-06 | 2011-07-20 | PG-PR | No | |
| 56,747 | 2,014 | MAME2**061972 | 1972-06-06 | 47 | ae1b59c707816d86c1a1a092b6e3ca55 | Mujer | 2014-02-28 | 2014-06-27 | PG-PAI | Si | |
| 48,383 | 2,014 | MAME2**021971 | 1971-02-06 | 48 | ae1b59c707816d86c1a1a092b6e3ca55 | Mujer | 2013-02-14 | 2014-02-28 | PG-PAI | Si | |
| 128,824 | 2,018 | PASE1**081995 | 1995-08-16 | 24 | ae27221992a581d65aac405403f995e8 | NA | Hombre | 2017-08-17 | 2018-05-31 | PG-PAI | Si |
| 118,496 | 2,017 | PASE1**101995 | 1995-10-16 | 24 | ae27221992a581d65aac405403f995e8 | NA | Hombre | 2017-06-21 | 2017-07-31 | PG-PAI | Si |
| 115,422 | 2,017 | PASE1**101993 | 1993-10-16 | 26 | ae27221992a581d65aac405403f995e8 | NA | Hombre | 2017-04-06 | 2017-05-01 | PG-PR | Si |
| 107,088 | 2,017 | PASE1**101995 | 1995-10-16 | 24 | ae27221992a581d65aac405403f995e8 | NA | Hombre | 2016-04-20 | 2017-04-05 | PG-PAI | Si |
| 91,386 | 2,016 | EROR2**051965 | 1965-05-13 | 54 | ae549bf0ddb41f22492ad9cb4d6c0a79 | Mujer | 2015-10-27 | 2016-10-13 | M-PR | Si | |
| 78,837 | 2,015 | EROR2**051962 | 1962-05-13 | 57 | ae549bf0ddb41f22492ad9cb4d6c0a79 | Mujer | 2015-06-30 | 2015-10-26 | M-PAI | Si | |
| 76,022 | 2,015 | EROR2**041965 | 1965-04-13 | 54 | ae549bf0ddb41f22492ad9cb4d6c0a79 | Mujer | 2015-03-02 | 2015-07-10 | PG-PAI | Si | |
| 120,896 | 2,017 | CAKR1**051991 | 1991-05-20 | 28 | ae56515e741d7eb927aefcd60f852a6c | NA | Hombre | 2017-08-24 | 2017-09-22 | PG-PAB | Si |
| 111,266 | 2,017 | CAKR1**121991 | 1991-12-20 | 27 | ae56515e741d7eb927aefcd60f852a6c | NA | Hombre | 2016-12-07 | 2017-03-06 | PG-PAI | Si |
| 131,045 | 2,018 | JOGO1**021999 | 1999-02-05 | 20 | ae57063712121f0ae7946c5b8caec739 | NA | Hombre | 2017-11-15 | 2018-07-31 | PG-PR | Si |
| 120,853 | 2,017 | JOGO1**021987 | 1987-02-05 | 32 | ae57063712121f0ae7946c5b8caec739 | NA | Hombre | 2017-08-21 | 2017-11-14 | PG-PAI | Si |
| 147,375 | 2,019 | NIHE2**111991 | 1991-11-24 | 27 | ae9a8c0c9f1a9c40e3897604c179653b | NA | Mujer | 2018-05-16 | 2019-05-31 | PG-PAI | Si |
| 3,395 | 2,010 | NIHE2**021991 | 1991-02-24 | 28 | ae9a8c0c9f1a9c40e3897604c179653b | Mujer | 2010-02-16 | 2010-06-08 | PG-PAI | Si | |
| 65,727 | 2,015 | ATTO1**101954 | 1954-10-29 | 65 | aeb4966cbd330bf0f9fc11449dec8884 | Hombre | 2013-07-09 | 2015-08-26 | PG-PAB | Si | |
| 29,109 | 2,012 | ATTO1**101957 | 1957-10-29 | 62 | aeb4966cbd330bf0f9fc11449dec8884 | Hombre | 2012-08-13 | 2012-09-05 | PG-PR | Si | |
| 38,141 | 2,013 | LUMA1**121974 | 1974-12-14 | 44 | aebf3fe8142a561f76686985a1652ebb | Hombre | 2013-03-05 | 2013-06-04 | PG-PR | Si | |
| 28,052 | 2,012 | LUMA1**121964 | 1964-12-14 | 54 | aebf3fe8142a561f76686985a1652ebb | Hombre | 2012-06-27 | 2012-12-03 | PG-PR | Si | |
| 75,636 | 2,015 | NEME1**031968 | 1968-03-27 | 51 | af026a63f84b23dc91db8c257e10825f | Hombre | 2015-04-22 | 2015-08-01 | PG-PR | Si | |
| 66,636 | 2,015 | NEME1**121968 | 1968-12-27 | 50 | af026a63f84b23dc91db8c257e10825f | Hombre | 2014-03-27 | 2015-04-17 | PG-PAI | Si | |
| 49,529 | 2,014 | PAGA1**081982 | 1982-08-06 | 37 | af079772789f8af495ebbea0acc25c30 | Hombre | 2013-06-12 | 2014-05-30 | PG-PAI | Si | |
| 21,863 | 2,012 | PAGA1**081982 | 1982-08-06 | 37 | af079772789f8af495ebbea0acc25c30 | Hombre | 2011-08-01 | 2012-06-04 | PG-PAI | Si | |
| 16,170 | 2,011 | PAGA1**081982 | 1982-08-06 | 37 | af079772789f8af495ebbea0acc25c30 | Hombre | 2011-05-13 | 2011-07-29 | PG-PR | Si | |
| 15,540 | 2,011 | PAGA1**081982 | 1982-08-06 | 37 | af079772789f8af495ebbea0acc25c30 | Hombre | 2011-04-08 | 2011-05-12 | PG-PAI | Si | |
| 222 | 2,010 | PAGA1**061981 | 1981-06-06 | 38 | af079772789f8af495ebbea0acc25c30 | Hombre | 2009-07-02 | 2010-06-25 | PG-PAB | Si | |
| 78,920 | 2,015 | NASI2**081995 | 1995-08-17 | 24 | af31a24fbd7abc1cc2506b27f176bcb0 | Mujer | 2015-07-07 | 2015-08-10 | M-PAI | Si | |
| 30,391 | 2,012 | NHSI2**081985 | 1985-08-17 | 34 | af31a24fbd7abc1cc2506b27f176bcb0 | Mujer | 2012-10-08 | 2012-10-29 | M-PR | Si | |
| 131,447 | 2,018 | JARO1**081984 | 1984-08-04 | 35 | af4447f8450791fd08c6bd2197242956 | NA | Hombre | 2017-11-27 | 2018-03-09 | PG-PR | Si |
| 122,496 | 2,017 | JARO1**081988 | 1988-08-04 | 31 | af4447f8450791fd08c6bd2197242956 | NA | Hombre | 2017-09-05 | 2017-10-26 | PG-PAI | Si |
| 112,768 | 2,017 | ELDI2**121974 | 1974-12-28 | 44 | afacbc955da48f4b447f3c63a097da93 | NA | Mujer | 2017-01-20 | 2017-11-27 | M-PAI | Si |
| 95,212 | 2,016 | ELDI2**061974 | 1974-06-28 | 45 | afacbc955da48f4b447f3c63a097da93 | Mujer | 2016-03-28 | 2016-12-31 | M-PAI | Si | |
| 76,151 | 2,015 | JOQU1**021986 | 1986-02-21 | 33 | b05ef1e00d4cae0868dea43a07bd75fe | Hombre | 2015-05-04 | 2015-06-19 | PG-PAI | Si | |
| 13,415 | 2,011 | JOQU1**021985 | 1985-02-21 | 34 | b05ef1e00d4cae0868dea43a07bd75fe | Hombre | 2011-01-18 | 2011-04-01 | PG-PAB | Si | |
| 107,029 | 2,017 | CLHE2**091983 | 1983-09-19 | 36 | b0702637d3110152bcddc2dec88b63dc | NA | Mujer | 2016-04-01 | 2017-05-25 | PG-PAB | Si |
| 89,055 | 2,016 | CLHE2**091984 | 1984-09-19 | 35 | b0702637d3110152bcddc2dec88b63dc | Mujer | 2015-08-25 | 2016-03-24 | M-PAI | Si | |
| 117,539 | 2,017 | SEAR1**031985 | 1985-03-04 | 34 | b083a5dab19cd3d85b502d472484d893 | NA | Hombre | 2017-05-15 | 2017-08-16 | PG-PAI | Si |
| 90,586 | 2,016 | SEAR1**031989 | 1989-03-04 | 30 | b083a5dab19cd3d85b502d472484d893 | Hombre | 2015-11-05 | 2016-05-27 | PG-PAI | Si | |
| 70,908 | 2,015 | SEAR1**031985 | 1985-03-04 | 34 | b083a5dab19cd3d85b502d472484d893 | Hombre | 2015-01-02 | 2015-09-14 | PG-PAB | No | |
| 160,606 | 2,019 | GUMU1**101983 | 1983-10-13 | 36 | b0a7513dd54ea723439284dd9bfd647c | NA | Hombre | 2019-08-12 | NA | PG PAI 2 | Si |
| 10,636 | 2,011 | GUMU1**101983 | 1983-10-13 | 36 | b0a7513dd54ea723439284dd9bfd647c | Hombre | 2010-06-02 | 2011-04-25 | PG-PAI | Si | |
| 3,113 | 2,010 | GUMU1**101981 | 1981-10-13 | 38 | b0a7513dd54ea723439284dd9bfd647c | Hombre | 2010-01-08 | 2010-02-22 | PG-PAI | Si | |
| 116,484 | 2,017 | ROGA1**011983 | 1983-01-12 | 36 | b0cbb7eab5781860885051f5caf7c356 | NA | Hombre | 2017-05-01 | 2017-07-20 | PG-PR | Si |
| 115,996 | 2,017 | ROGA1**101981 | 1981-10-09 | 38 | b0cbb7eab5781860885051f5caf7c356 | NA | Hombre | 2017-04-17 | 2017-04-28 | PG-PAI | Si |
| 85,062 | 2,015 | ANMO2**111971 | 1971-11-19 | 47 | b0f58a11b9a9ae46f44d2e3e57120269 | Mujer | 2015-12-01 | 2016-01-01 | PG-PAB | Si | |
| 67,438 | 2,015 | ANMO2**111975 | 1975-11-15 | 43 | b0f58a11b9a9ae46f44d2e3e57120269 | Mujer | 2014-06-17 | 2015-12-01 | PG-PAI | Si | |
| 48,911 | 2,014 | ANMO2**111971 | 1971-11-15 | 47 | b0f58a11b9a9ae46f44d2e3e57120269 | Mujer | 2013-05-06 | 2014-06-09 | PG-PAI | Si | |
| 60,964 | 2,014 | PEVE1**111975 | 1975-11-13 | 43 | b1705ce662f3c1563f391f3aedd40f84 | Hombre | 2014-08-19 | 2014-11-03 | PG-PR | Si | |
| 16,018 | 2,011 | PEVE1**051992 | 1992-05-13 | 27 | b1705ce662f3c1563f391f3aedd40f84 | Hombre | 2011-05-24 | 2011-09-30 | PG-PAI | Si | |
| 161,188 | 2,019 | MAMA2**041986 | 1986-04-29 | 33 | b19cba8aa8b5dfb101662de43db71800 | NA | Mujer | 2019-08-01 | NA | PG-PAB | Si |
| 155,223 | 2,019 | MAMA2**041986 | 1986-04-29 | 33 | b19cba8aa8b5dfb101662de43db71800 | NA | Mujer | 2019-03-02 | 2019-07-25 | M-PR | Si |
| 100,952 | 2,016 | MAMA2**041986 | 1986-04-29 | 33 | b19cba8aa8b5dfb101662de43db71800 | Mujer | 2016-08-26 | 2016-12-01 | M-PR | Si | |
| 97,878 | 2,016 | MAMA2**041987 | 1987-04-29 | 32 | b19cba8aa8b5dfb101662de43db71800 | Mujer | 2016-05-25 | 2016-06-30 | PG-PAB | Si | |
| 95,371 | 2,016 | CRDA1**021991 | 1991-02-01 | 28 | b20fd174c15eb124463de3aa492fe53b | Hombre | 2016-03-23 | 2016-12-20 | PG-PR | Si | |
| 86,512 | 2,016 | CRDA1**021971 | 1971-02-02 | 48 | b20fd174c15eb124463de3aa492fe53b | Hombre | 2015-02-02 | 2016-03-22 | PG-PAB | Si | |
| 129,386 | 2,018 | TELU2**071965 | 1965-07-27 | 54 | b2707c684c6f907a791a9714646539b8 | NA | Mujer | 2017-04-20 | 2018-06-25 | PG-PAI | Si |
| 15,536 | 2,011 | TELU2**061964 | 1964-06-26 | 55 | b2707c684c6f907a791a9714646539b8 | Mujer | 2011-04-14 | 2011-09-01 | M-PR | Si | |
| 13,810 | 2,011 | TELU2**071965 | 1965-07-27 | 54 | b2707c684c6f907a791a9714646539b8 | Mujer | 2011-02-01 | 2011-04-07 | PG-PAB | Si | |
| 37,784 | 2,013 | ALES1**051984 | 1984-05-17 | 35 | b2bbaffb5d994584ac0090bd3b47af4a | Hombre | 2013-03-25 | 2013-08-07 | PG-PAI | Si | |
| 10,317 | 2,011 | ALES1**051986 | 1986-05-17 | 33 | b2bbaffb5d994584ac0090bd3b47af4a | Hombre | 2010-04-01 | 2011-02-28 | PG-PAB | Si | |
| 135,825 | 2,018 | ALQU1**021982 | 1982-02-11 | 37 | b2c5561e9b869af58a32b06f4dba07d2 | NA | Hombre | 2018-01-24 | 2018-07-01 | PG-PAI | Si |
| 38,369 | 2,013 | ALQU1**021982 | 1982-02-11 | 37 | b2c5561e9b869af58a32b06f4dba07d2 | Hombre | 2013-04-02 | 2013-06-25 | PG-PAI | Si | |
| 20,949 | 2,012 | ALQU1**021985 | 1985-02-11 | 34 | b2c5561e9b869af58a32b06f4dba07d2 | Hombre | 2010-06-05 | 2012-05-11 | PG-PAB | Si | |
| 70,984 | 2,015 | PAPA2**091990 | 1990-09-19 | 29 | b2d3dff9807f2ddb879b65b2e368c4e6 | Mujer | 2015-01-02 | 2015-08-11 | M-PAI | Si | |
| 45,508 | 2,013 | PAPA2**091991 | 1991-09-19 | 28 | b2d3dff9807f2ddb879b65b2e368c4e6 | Mujer | 2013-10-08 | 2014-04-01 | PG-PAB | Si | |
| 77,971 | 2,015 | GERO1**061981 | 1981-06-18 | 38 | b2fffcd1a8101571f5129bf933805ff7 | Hombre | 2015-06-09 | 2015-08-28 | PG-PR | Si | |
| 71,792 | 2,015 | GERO1**061982 | 1982-06-18 | 37 | b2fffcd1a8101571f5129bf933805ff7 | Hombre | 2015-01-21 | 2015-03-23 | PG-PR | Si | |
| 134,068 | 2,018 | MAZA1**081955 | 1955-08-13 | 64 | b32e80edca05588f627c414c98498b60 | NA | Hombre | 2017-12-18 | 2018-10-18 | PG-PAI | Si |
| 34,969 | 2,013 | MAZA1**091951 | 1951-09-13 | 68 | b32e80edca05588f627c414c98498b60 | Hombre | 2012-12-04 | 2013-06-03 | PG-PAI | Si | |
| 97,865 | 2,016 | LOSE1**031968 | 1968-03-13 | 51 | b36714aa354eaa2894b50c8a976a6cca | Hombre | 2016-03-30 | 2016-10-01 | PG-PAB | Si | |
| 41,727 | 2,013 | LOSE1**031961 | 1961-03-13 | 58 | b36714aa354eaa2894b50c8a976a6cca | Hombre | 2013-07-02 | 2014-01-02 | PG-PAI | Si | |
| 147,297 | 2,019 | VISA1**111971 | 1971-11-11 | 48 | b37c30b0e3ea6c45d80f5af56539a4bd | NA | Hombre | 2018-04-25 | 2019-03-28 | PG-PAI | Si |
| 93,952 | 2,016 | VISA1**111971 | 1971-11-11 | 47 | b37c30b0e3ea6c45d80f5af56539a4bd | Hombre | 2016-02-23 | 2016-05-13 | PG-PAB | Si | |
| 67,877 | 2,015 | ALSI1**111979 | 1979-11-02 | 40 | b37dbe01ed888d49ed98af881bdb4f69 | Hombre | 2014-07-16 | 2015-01-08 | PG-PR | Si | |
| 59,067 | 2,014 | JOPA1**091969 | 1969-09-15 | 50 | b37dbe01ed888d49ed98af881bdb4f69 | Hombre | 2014-06-28 | 2014-06-29 | PG-PR | Si | |
| 153,388 | 2,019 | HETO1**111947 | 1947-11-12 | 72 | b3abb6bc383b99093e07bc3ab41d9198 | NA | Hombre | 2019-02-18 | 2019-08-29 | PG-PR | Si |
| 129,836 | 2,018 | HETO1**111947 | 1947-11-11 | 71 | b3abb6bc383b99093e07bc3ab41d9198 | NA | Hombre | 2017-08-03 | 2018-11-30 | PG-PAB | Si |
| 140,654 | 2,018 | CAVA1**061965 | 1965-06-18 | 54 | b3c08cf36ec26c884c08ca8a795f8232 | NA | Hombre | 2018-07-30 | 2018-09-03 | PG-PR | Si |
| 138,249 | 2,018 | CAVA1**061965 | 1965-06-18 | 54 | b3c08cf36ec26c884c08ca8a795f8232 | NA | Hombre | 2018-01-30 | 2018-07-27 | PG-PAI | Si |
| 76,687 | 2,015 | CAVA1**061965 | 1965-06-18 | 54 | b3c08cf36ec26c884c08ca8a795f8232 | Hombre | 2015-05-26 | 2015-11-19 | PG-PAI | Si | |
| 49,728 | 2,014 | CAVA1**071994 | 1994-07-08 | 25 | b3c08cf36ec26c884c08ca8a795f8232 | Hombre | 2013-07-08 | 2014-03-10 | PG-PR | Si | |
| 29,054 | 2,012 | CAVA1**061965 | 1965-06-18 | 54 | b3c08cf36ec26c884c08ca8a795f8232 | Hombre | 2012-08-13 | 2012-08-13 | Otro | No | |
| 117,426 | 2,017 | LUNU1**041958 | 1958-04-07 | 61 | b3cb5dddcc89f32aeed627d33b3072f6 | NA | Hombre | 2017-05-08 | 2018-01-01 | PG-PAB | No |
| 107,936 | 2,017 | LUNU1**041968 | 1968-04-07 | 51 | b3cb5dddcc89f32aeed627d33b3072f6 | NA | Hombre | 2016-06-28 | 2017-04-18 | PG-PR | Si |
| 146,607 | 2,019 | GOVA1**061984 | 1984-06-05 | 35 | b44164a7906794129c2239b23613205d | NA | Hombre | 2018-01-05 | 2019-01-04 | PG-PAI | Si |
| 96,170 | 2,016 | GOVA1**061984 | 1984-06-05 | 35 | b44164a7906794129c2239b23613205d | Hombre | 2016-04-18 | 2016-12-20 | PG-PAB | Si | |
| 67,433 | 2,015 | GOVA1**061985 | 1985-06-05 | 34 | b44164a7906794129c2239b23613205d | Hombre | 2014-05-20 | 2015-06-29 | PG-PAB | Si | |
| 35,680 | 2,013 | GOVA1**061984 | 1984-06-05 | 35 | b44164a7906794129c2239b23613205d | Hombre | 2013-01-10 | 2013-03-04 | PG-PAB | Si | |
| 24,224 | 2,012 | GOVA1**061984 | 1984-06-05 | 35 | b44164a7906794129c2239b23613205d | Hombre | 2012-01-25 | 2012-02-20 | PG-PAI | Si | |
| 17,409 | 2,011 | GOVA1**061984 | 1984-06-06 | 35 | b44164a7906794129c2239b23613205d | Hombre | 2011-06-14 | 2012-01-27 | PG-PAB | Si | |
| 4,574 | 2,010 | GOVA1**061984 | 1984-06-05 | 35 | b44164a7906794129c2239b23613205d | Hombre | 2010-04-26 | 2010-05-25 | PG-PAI | Si | |
| 5,608 | 2,010 | FESU1**041984 | 1984-04-13 | 35 | b477239da8579d3a19ff71eb9cc71c99 | Hombre | 2010-05-18 | 2010-11-09 | PG-PR | Si | |
| 2,847 | 2,010 | FESU1**041983 | 1983-04-13 | 36 | b477239da8579d3a19ff71eb9cc71c99 | Hombre | 2010-01-28 | 2010-03-11 | PG-PAI | Si | |
| 123,509 | 2,017 | EDLO1**041960 | 1960-04-24 | 59 | b5505e5e75541c68dd342592e34a7c68 | NA | Hombre | 2017-10-04 | 2017-12-15 | PG-PR | Si |
| 89,013 | 2,016 | EDLO1**041968 | 1968-04-02 | 51 | b5505e5e75541c68dd342592e34a7c68 | Hombre | 2015-08-24 | 2016-03-08 | PG-PR | Si | |
| 24,978 | 2,012 | EDLO1**041968 | 1968-04-02 | 51 | b5505e5e75541c68dd342592e34a7c68 | Hombre | 2012-02-02 | 2012-03-02 | PG-PR | Si | |
| 15,928 | 2,011 | EDLO1**041968 | 1968-04-02 | 51 | b5505e5e75541c68dd342592e34a7c68 | Hombre | 2011-05-04 | 2011-11-02 | PG-PR | Si | |
| 1,738 | 2,010 | EDLO1**041968 | 1968-04-04 | 51 | b5505e5e75541c68dd342592e34a7c68 | Hombre | 2009-11-30 | 2010-09-20 | PG-PR | Si | |
| 11,211 | 2,011 | ANRU1**011991 | 1991-01-23 | 28 | b55708195e3aec10337e12dbe80eebbc | Hombre | 2010-04-01 | 2011-09-20 | PG-PR | Si | |
| 4,468 | 2,010 | ANRU1**011983 | 1983-01-09 | 36 | b55708195e3aec10337e12dbe80eebbc | Hombre | 2010-03-29 | 2010-06-20 | PG-PR | Si | |
| 3,274 | 2,010 | ANRU1**011983 | 1983-01-09 | 36 | b55708195e3aec10337e12dbe80eebbc | Hombre | 2009-11-24 | 2010-03-02 | PG-PAI | Si | |
| 50,135 | 2,014 | MAFE1**081966 | 1966-08-30 | 53 | b564ff2c4479d24ecf86feb98e3d68a5 | Hombre | 2013-07-19 | 2014-04-11 | PG-PAB | Si | |
| 40,666 | 2,013 | MAFE1**081964 | 1964-08-30 | 55 | b564ff2c4479d24ecf86feb98e3d68a5 | Hombre | 2013-06-12 | 2013-07-31 | PG-PAB | Si | |
| 154,421 | 2,019 | DAAR1**081983 | 1983-08-09 | 36 | b584cb2f2fdf01a2585c8a21ae9a0d54 | NA | Hombre | 2018-08-30 | NA | PG-PAI | Si |
| 106,040 | 2,017 | DAAR1**081988 | 1988-08-10 | 31 | b584cb2f2fdf01a2585c8a21ae9a0d54 | NA | Hombre | 2015-10-22 | 2017-05-03 | PG-PAB | Si |
| 73,080 | 2,015 | JOOR1**121988 | 1988-12-03 | 30 | b59edffbd9fb8f2030ba35688228aee4 | Hombre | 2015-02-18 | 2015-05-01 | PG-PR | Si | |
| 39,003 | 2,013 | JOOR1**031992 | 1992-03-04 | 27 | b59edffbd9fb8f2030ba35688228aee4 | Hombre | 2013-01-16 | 2013-08-01 | PG-PR | No | |
| 2,085 | 2,010 | JOOR1**121988 | 1988-12-03 | 30 | b59edffbd9fb8f2030ba35688228aee4 | Hombre | 2009-10-01 | 2010-03-01 | PG-PAB | Si | |
| 111,289 | 2,017 | CACA1**121996 | 1996-12-12 | 22 | b5c202e9bd0bd09521a9226cf96fb10d | NA | Hombre | 2016-12-19 | 2017-03-29 | PG-PAI | Si |
| 79,382 | 2,015 | CACA1**101987 | 1987-10-12 | 32 | b5c202e9bd0bd09521a9226cf96fb10d | Hombre | 2015-07-20 | 2015-11-06 | PG-PR | Si | |
| 132,685 | 2,018 | VEAL2**012000 | 2000-01-26 | 19 | b5e83d35a994deccd43898a8e622b203 | NA | Mujer | 2018-01-26 | 2018-05-31 | PG-PAI | Si |
| 76,433 | 2,015 | VEAL2**121980 | 1980-12-26 | 38 | b5e83d35a994deccd43898a8e622b203 | Mujer | 2015-05-04 | 2015-07-22 | PG-PAB | Si | |
| 117,054 | 2,017 | JUSA1**051984 | 1984-05-21 | 35 | b6223c0d4e5d31721c9bbdfdb9aac75d | NA | Hombre | 2017-05-16 | 2017-10-31 | PG-PAB | Si |
| 33,189 | 2,013 | JUSA1**051964 | 1964-05-21 | 55 | b6223c0d4e5d31721c9bbdfdb9aac75d | Hombre | 2012-03-08 | 2014-01-30 | PG-PAI | Si | |
| 155,800 | 2,019 | MOSA1**071973 | 1973-07-25 | 46 | b625053e2fe56736403429ab73dc1e28 | NA | Hombre | 2019-04-01 | NA | PG-PAI | Si |
| 26,060 | 2,012 | MOSA1**071983 | 1983-07-25 | 36 | b625053e2fe56736403429ab73dc1e28 | Hombre | 2012-04-02 | 2012-10-01 | PG-PAI | Si | |
| 146,631 | 2,019 | JOCA1**111972 | 1972-11-13 | 47 | b6a2753ff2465c1ee9e349aab0f057e4 | NA | Hombre | 2018-01-11 | NA | PG-PAB | Si |
| 110,722 | 2,017 | JOCA1**111972 | 1972-11-13 | 46 | b6a2753ff2465c1ee9e349aab0f057e4 | NA | Hombre | 2016-10-07 | 2017-04-03 | PG-PAB | Si |
| 72,744 | 2,015 | MILO1**081985 | 1985-08-09 | 34 | b6ffbb67a0c081dbed3f5c0a7ad0d7f0 | Hombre | 2014-12-16 | 2016-01-27 | PG-PAB | Si | |
| 25,849 | 2,012 | MILO1**081983 | 1983-08-09 | 36 | b6ffbb67a0c081dbed3f5c0a7ad0d7f0 | Hombre | 2012-03-09 | 2012-09-07 | PG-PAI | Si | |
| 160,822 | 2,019 | CASO1**081985 | 1985-08-22 | 34 | b73a63d68453ece9bfb6cc753958b5ae | NA | Hombre | 2019-08-01 | NA | PG-PAI | Si |
| 25,409 | 2,012 | CASO1**121985 | 1985-12-22 | 33 | b73a63d68453ece9bfb6cc753958b5ae | Hombre | 2012-02-29 | 2012-04-17 | PG-PAI | Si | |
| 7,137 | 2,010 | CEGU1**111970 | 1970-11-07 | 48 | b73be3cc1ce25d9a4249c72e044ebcc9 | Hombre | 2010-08-03 | 2010-10-07 | PG-PAB | Si | |
| 6,640 | 2,010 | CEGU1**101970 | 1970-10-07 | 49 | b73be3cc1ce25d9a4249c72e044ebcc9 | Hombre | 2010-07-20 | 2010-08-02 | PG-PAI | Si | |
| 152,750 | 2,019 | LITO2**111987 | 1987-11-08 | 32 | b81302c4c78c6d1973a08d41b5c4b5a5 | NA | Mujer | 2019-01-08 | 2019-01-29 | M-PR | Si |
| 52,995 | 2,014 | LITO2**111987 | 1987-11-08 | 31 | b81302c4c78c6d1973a08d41b5c4b5a5 | Mujer | 2014-01-06 | 2014-11-01 | M-PR | Si | |
| 16,766 | 2,011 | LITO2**111987 | 1987-11-08 | 31 | b81302c4c78c6d1973a08d41b5c4b5a5 | Mujer | 2011-06-07 | 2011-11-28 | PG-PAI | Si | |
| 147,834 | 2,019 | JULE2**062000 | 2000-06-07 | 19 | b83709c690b1cff78be4aca715aed96b | NA | Mujer | 2018-06-14 | 2019-05-01 | PG-PAI | Si |
| 65,642 | 2,015 | JULE2**111963 | 1963-11-07 | 55 | b83709c690b1cff78be4aca715aed96b | Mujer | 2013-06-12 | 2015-05-28 | PG-PAI | Si | |
| 130,526 | 2,018 | HEGU1**051988 | 1988-05-25 | 31 | b83b725970c55cd103ae02fde4cd7ddb | NA | Hombre | 2017-10-10 | 2018-03-01 | PG-PR | No |
| 119,848 | 2,017 | HEGU1**051988 | 1988-05-25 | 31 | b83b725970c55cd103ae02fde4cd7ddb | NA | Hombre | 2017-07-17 | 2017-10-06 | PG-PAI | Si |
| 69,295 | 2,015 | HEGU1**051998 | 1998-05-25 | 21 | b83b725970c55cd103ae02fde4cd7ddb | Hombre | 2014-10-01 | 2015-04-01 | PG-PR | Si | |
| 54,003 | 2,014 | HEGU1**051988 | 1988-05-26 | 31 | b83b725970c55cd103ae02fde4cd7ddb | Hombre | 2014-01-07 | 2014-10-01 | PG-PAI | Si | |
| 8,105 | 2,010 | HEGU1**051988 | 1988-05-25 | 31 | b83b725970c55cd103ae02fde4cd7ddb | Hombre | 2010-09-15 | 2010-11-02 | PG-PR | Si | |
| 6,665 | 2,010 | HEGU1**051988 | 1988-05-25 | 31 | b83b725970c55cd103ae02fde4cd7ddb | Hombre | 2010-08-02 | 2010-09-15 | PG-PAB | Si | |
| 58,447 | 2,014 | RULO2**021974 | 1974-02-19 | 45 | b87a34c4b3a9986d0d797450aa20edd6 | Mujer | 2014-06-06 | 2014-09-01 | M-PR | Si | |
| 33,356 | 2,013 | RULO2**021974 | 1974-02-19 | 45 | b87a34c4b3a9986d0d797450aa20edd6 | Mujer | 2012-07-17 | 2013-07-31 | PG-PAI | Si | |
| 23,910 | 2,012 | RULO2**021974 | 1974-02-19 | 45 | b87a34c4b3a9986d0d797450aa20edd6 | Mujer | 2012-01-16 | 2012-04-02 | M-PR | Si | |
| 11,886 | 2,011 | RULO2**041991 | 1991-04-19 | 28 | b87a34c4b3a9986d0d797450aa20edd6 | Mujer | 2010-11-15 | 2011-04-25 | M-PR | Si | |
| 69,307 | 2,015 | RAME1**111987 | 1987-11-19 | 31 | b8899b065752319d73fc984b9672fc6a | Hombre | 2014-10-15 | 2015-04-01 | PG-PR | Si | |
| 58,166 | 2,014 | RAME1**111987 | 1987-11-19 | 31 | b8899b065752319d73fc984b9672fc6a | Hombre | 2014-04-22 | 2014-10-14 | PG-PAB | Si | |
| 52,170 | 2,014 | RAME1**061987 | 1987-06-19 | 32 | b8899b065752319d73fc984b9672fc6a | Hombre | 2013-11-29 | 2014-05-08 | PG-PAB | Si | |
| 41,515 | 2,013 | RAME1**111987 | 1987-11-19 | 31 | b8899b065752319d73fc984b9672fc6a | Hombre | 2013-05-23 | 2013-09-27 | PG-PAB | Si | |
| 156,633 | 2,019 | ROGO2**111985 | 1985-11-08 | 34 | b8b4666bb631f5548fef41ac1b38b3cd | NA | Mujer | 2019-05-06 | NA | M-PAI | Si |
| 153,766 | 2,019 | ROGO2**111985 | 1985-11-08 | 34 | b8b4666bb631f5548fef41ac1b38b3cd | NA | Mujer | 2019-02-14 | 2019-04-26 | M-PR | Si |
| 147,111 | 2,019 | ROGO2**111985 | 1985-11-08 | 34 | b8b4666bb631f5548fef41ac1b38b3cd | NA | Mujer | 2018-04-16 | 2019-02-13 | M-PAI | Si |
| 129,708 | 2,018 | ROGO2**111985 | 1985-11-08 | 33 | b8b4666bb631f5548fef41ac1b38b3cd | NA | Mujer | 2017-09-12 | 2018-01-03 | M-PR | Si |
| 112,518 | 2,017 | ROGO2**111985 | 1985-11-08 | 33 | b8b4666bb631f5548fef41ac1b38b3cd | NA | Mujer | 2017-02-02 | 2017-09-11 | M-PAI | No |
| 76,924 | 2,015 | ROGO2**111985 | 1985-11-08 | 33 | b8b4666bb631f5548fef41ac1b38b3cd | Mujer | 2015-05-11 | 2015-07-01 | M-PAI | Si | |
| 23,490 | 2,012 | ROGO2**111985 | 1985-11-08 | 33 | b8b4666bb631f5548fef41ac1b38b3cd | Mujer | 2011-11-23 | 2012-11-30 | M-PAB | Si | |
| 127,107 | 2,018 | GUFA1**101957 | 1957-10-06 | 62 | b8d7772bce203d2c9ef28b3ab84340e0 | NA | Hombre | 2017-03-01 | 2018-11-08 | PG-PAB | Si |
| 15,124 | 2,011 | GUFA1**111957 | 1957-11-06 | 61 | b8d7772bce203d2c9ef28b3ab84340e0 | Hombre | 2011-04-04 | 2011-12-15 | PG-PR | Si | |
| 2,720 | 2,010 | GUFA1**101957 | 1957-10-06 | 62 | b8d7772bce203d2c9ef28b3ab84340e0 | Hombre | 2008-10-22 | 2010-04-30 | PG-PAI | Si | |
| 160,160 | 2,019 | EVGO2**101975 | 1975-10-06 | 44 | b90faf86c5a0a7721390e749bbdc41cc | NA | Mujer | 2019-07-29 | NA | M-PR | Si |
| 128,501 | 2,018 | EVGO2**101975 | 1975-10-06 | 44 | b90faf86c5a0a7721390e749bbdc41cc | NA | Mujer | 2017-07-25 | 2018-01-08 | M-PR | Si |
| 116,364 | 2,017 | EVGO2**101975 | 1975-10-06 | 44 | b90faf86c5a0a7721390e749bbdc41cc | NA | Mujer | 2017-04-20 | 2017-06-09 | M-PR | Si |
| 114,229 | 2,017 | EVGO2**101975 | 1975-10-06 | 44 | b90faf86c5a0a7721390e749bbdc41cc | NA | Mujer | 2017-03-02 | 2017-03-20 | PG-PAI | Si |
| 98,934 | 2,016 | EVGO2**101965 | 1965-10-03 | 54 | b90faf86c5a0a7721390e749bbdc41cc | Mujer | 2016-06-01 | 2016-08-14 | M-PR | Si | |
| 133,712 | 2,018 | CROL1**041990 | 1990-04-09 | 29 | b993d8f964185a2b9f9c4871d70a450f | NA | Hombre | 2018-02-10 | 2018-04-26 | PG-PAB | Si |
| 95,647 | 2,016 | CHOL1**041996 | 1996-04-09 | 23 | b993d8f964185a2b9f9c4871d70a450f | Hombre | 2016-04-09 | 2016-07-28 | PG-PAB | Si | |
| 118,318 | 2,017 | DAMU1**111994 | 1994-11-11 | 24 | b9f1641c671b634dbb6bbc64945616dd | NA | Hombre | 2017-06-01 | 2017-08-23 | PG-PAI | Si |
| 113,602 | 2,017 | DAMU1**091994 | 1994-09-11 | 25 | b9f1641c671b634dbb6bbc64945616dd | NA | Hombre | 2017-02-22 | 2017-03-30 | PG-PAI | Si |
| 113,280 | 2,017 | SAME1**121979 | 1979-12-23 | 39 | b9fd0af581a02709bc8eca4952e4ca97 | NA | Hombre | 2017-02-21 | 2017-08-03 | PG-PAB | Si |
| 94,410 | 2,016 | SAME1**101979 | 1979-10-23 | 40 | b9fd0af581a02709bc8eca4952e4ca97 | Hombre | 2016-03-04 | 2016-09-02 | PG-PAB | Si | |
| 72,672 | 2,015 | SAME1**121979 | 1979-12-23 | 39 | b9fd0af581a02709bc8eca4952e4ca97 | Hombre | 2015-02-18 | 2015-06-25 | PG-PAB | Si | |
| 133,775 | 2,018 | CLFL1**121976 | 1976-12-25 | 42 | ba30610611f462591a27ef227c9e1121 | NA | Hombre | 2018-02-02 | 2018-03-01 | PG-PAI | Si |
| 120,504 | 2,017 | CLFL1**121976 | 1976-12-25 | 42 | ba30610611f462591a27ef227c9e1121 | NA | Hombre | 2017-08-02 | 2018-02-01 | PG-PAB | Si |
| 107,980 | 2,017 | CLFL1**121976 | 1976-12-25 | 42 | ba30610611f462591a27ef227c9e1121 | NA | Hombre | 2016-07-12 | 2017-05-22 | PG-PR | Si |
| 97,786 | 2,016 | CLFL1**101976 | 1976-10-25 | 43 | ba30610611f462591a27ef227c9e1121 | Hombre | 2016-05-02 | 2016-07-04 | PG-PAB | Si | |
| 90,744 | 2,016 | CLFL1**121976 | 1976-12-25 | 42 | ba30610611f462591a27ef227c9e1121 | Hombre | 2015-10-27 | 2016-03-01 | PG-PAI | Si | |
| 145,764 | 2,019 | SACA2**021975 | 1975-02-25 | 44 | ba3f2c58985fe23f012ad621d5367e5e | NA | Mujer | 2016-08-29 | 2019-02-27 | PG-PAI | Si |
| 85,771 | 2,016 | SACA2**021975 | 1975-02-25 | 44 | ba3f2c58985fe23f012ad621d5367e5e | Mujer | 2014-07-21 | 2016-06-30 | PG-PAI | Si | |
| 48,466 | 2,014 | SACA2**021955 | 1955-02-25 | 64 | ba3f2c58985fe23f012ad621d5367e5e | Mujer | 2013-02-20 | 2014-01-31 | PG-PAI | Si | |
| 71,702 | 2,015 | PEMU1**021981 | 1981-02-22 | 38 | ba5e4de085b11983b355b17f981b08b6 | Hombre | 2015-01-13 | 2015-04-21 | PG-PR | Si | |
| 34,839 | 2,013 | PEMU1**111981 | 1981-11-22 | 37 | ba5e4de085b11983b355b17f981b08b6 | Hombre | 2012-11-20 | 2013-05-31 | PG-PAI | Si | |
| 113,621 | 2,017 | GAMO1**061995 | 1995-06-04 | 24 | baac47ffd26b7ac3c2b3cc2e2e7394ae | NA | Hombre | 2017-02-23 | 2017-05-05 | PG-PAI | Si |
| 73,135 | 2,015 | GAMO1**061985 | 1985-06-04 | 34 | baac47ffd26b7ac3c2b3cc2e2e7394ae | Hombre | 2015-02-24 | 2015-06-04 | PG-PAI | Si | |
| 95,781 | 2,016 | JUES1**111962 | 1962-11-07 | 56 | bad3b51c442f293cfac4ba0d883627cf | Hombre | 2016-03-03 | 2016-10-17 | Otro | No | |
| 73,091 | 2,015 | JUES1**111961 | 1961-11-11 | 57 | bad3b51c442f293cfac4ba0d883627cf | Hombre | 2015-02-06 | 2016-02-08 | Otro | No | |
| 72,239 | 2,015 | JOAL1**091981 | 1981-09-22 | 38 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2015-01-01 | 2015-04-13 | PG-PR | Si | |
| 67,084 | 2,015 | JOAL1**091981 | 1981-09-22 | 38 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2014-05-15 | 2014-12-31 | PG-PR | Si | |
| 50,765 | 2,014 | JOAL1**091981 | 1981-09-22 | 38 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2013-09-13 | 2014-02-28 | PG-PAI | Si | |
| 24,510 | 2,012 | JOAL1**091981 | 1981-09-22 | 38 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2011-06-02 | 2012-03-05 | PG-PAI | Si | |
| 21,664 | 2,012 | JOAL1**091981 | 1981-09-22 | 38 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2011-06-02 | 2012-01-01 | PG-PAI | Si | |
| 793 | 2,010 | JOAL1**091989 | 1989-09-22 | 30 | bae26bc2c87f1ca969aaca4615441aec | Hombre | 2009-01-12 | 2010-01-13 | PG-PAI | Si | |
| 95,425 | 2,016 | JEWI1**061989 | 1989-06-23 | 30 | bb526b65936cdc0ae156432fe68756f2 | Hombre | 2016-04-01 | 2016-04-06 | PG-PR | Si | |
| 93,913 | 2,016 | JEWI1**061989 | 1989-06-26 | 30 | bb526b65936cdc0ae156432fe68756f2 | Hombre | 2016-01-28 | 2016-03-31 | PG-PAI | Si | |
| 38,216 | 2,013 | JEWI1**021994 | 1994-02-16 | 25 | bb526b65936cdc0ae156432fe68756f2 | Hombre | 2013-03-22 | 2013-10-14 | PG-PAI | Si | |
| 52,737 | 2,014 | NEBA2**031968 | 1968-03-31 | 51 | bb7cf9691cc2bf0ba628271b138f7bd2 | Mujer | 2013-06-07 | 2014-03-03 | M-PAI | Si | |
| 41,571 | 2,013 | NEBA2**031945 | 1945-03-31 | 74 | bb7cf9691cc2bf0ba628271b138f7bd2 | Mujer | 2013-06-05 | 2013-09-02 | PG-PAI | Si | |
| 66,205 | 2,015 | CRES2**091986 | 1986-09-17 | 33 | bba0d9e93666b8bd3bc4e61721f9de8a | Mujer | 2014-01-13 | 2015-04-07 | PG-PAI | Si | |
| 39,878 | 2,013 | CRES2**091987 | 1987-09-17 | 32 | bba0d9e93666b8bd3bc4e61721f9de8a | Mujer | 2013-05-28 | 2013-08-26 | M-PAI | Si | |
| 72,421 | 2,015 | IVVA2**101989 | 1989-10-21 | 30 | bba10e9d496d8f65284e17cc05773b18 | Mujer | 2015-02-11 | 2015-10-13 | M-PR | Si | |
| 56,077 | 2,014 | IVVE2**101999 | 1999-10-21 | 20 | bba10e9d496d8f65284e17cc05773b18 | Mujer | 2014-03-27 | 2014-05-16 | M-PR | Si | |
| 148,007 | 2,019 | CAOR1**111973 | 1973-11-07 | 46 | bc042df2a04e7c3321abd803c4c85da6 | NA | Hombre | 2018-06-26 | 2019-02-01 | PG-PR | Si |
| 137,863 | 2,018 | CAOR1**111973 | 1973-11-07 | 45 | bc042df2a04e7c3321abd803c4c85da6 | NA | Hombre | 2018-05-30 | 2018-06-18 | PG-PAI | Si |
| 65,950 | 2,015 | CAOR1**111973 | 1973-11-07 | 45 | bc042df2a04e7c3321abd803c4c85da6 | Hombre | 2013-10-24 | 2015-04-28 | PG-PAI | Si | |
| 115,581 | 2,017 | -JRO1**041990 | 1990-04-09 | 29 | bc05dff345f2e088972cb9963710f3c8 | NA | Hombre | 2017-04-18 | 2017-10-16 | PG-PR | Si |
| 107,421 | 2,017 | JORO1**111990 | 1990-11-09 | 28 | bc05dff345f2e088972cb9963710f3c8 | NA | Hombre | 2016-05-17 | 2017-01-26 | PG-PAB | Si |
| 147,599 | 2,019 | LOFR2**101999 | 1999-10-15 | 20 | bc1e6dd44029efd3a69ed788cc8a3d88 | NA | Mujer | 2018-05-31 | 2019-03-07 | M-PR | Si |
| 132,216 | 2,018 | LOFR2**101976 | 1976-10-15 | 43 | bc1e6dd44029efd3a69ed788cc8a3d88 | NA | Mujer | 2017-11-13 | 2018-05-30 | PG-PAB | Si |
| 122,725 | 2,017 | LOFR2**101976 | 1976-10-15 | 43 | bc1e6dd44029efd3a69ed788cc8a3d88 | NA | Mujer | 2017-10-02 | 2017-11-11 | M-PR | Si |
| 112,673 | 2,017 | LOFR2**101976 | 1976-10-15 | 43 | bc1e6dd44029efd3a69ed788cc8a3d88 | NA | Mujer | 2017-01-03 | 2017-05-18 | PG-PAB | Si |
| 101,613 | 2,016 | LOFR2**101976 | 1976-10-15 | 43 | bc1e6dd44029efd3a69ed788cc8a3d88 | Mujer | 2016-09-01 | 2016-12-01 | M-PAI | Si | |
| 113,744 | 2,017 | CACA2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | NA | Mujer | 2017-02-02 | 2017-06-30 | PG-PAI | Si |
| 103,411 | 2,016 | CACA2**101996 | 1996-10-09 | 23 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2016-10-03 | 2016-12-30 | PG-PAI | Si | |
| 99,615 | 2,016 | CA-C2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2016-07-13 | 2016-09-27 | M-PR | Si | |
| 96,389 | 2,016 | CACA2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2016-03-28 | 2016-07-12 | PG-PAI | Si | |
| 75,331 | 2,015 | CACA2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2015-04-08 | 2015-05-01 | PG-PAI | Si | |
| 68,691 | 2,015 | CACA2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2014-09-17 | 2015-03-12 | M-PR | Si | |
| 57,255 | 2,014 | CACA2**121978 | 1978-12-09 | 40 | bc3006c6a8035b7c591b4bf172cd4499 | Mujer | 2014-04-30 | 2014-09-17 | PG-PAI | Si | |
| 65,644 | 2,015 | ALAV1**091969 | 1969-09-09 | 50 | bca46ad7a817c818b183d67787f06342 | Hombre | 2013-06-04 | 2015-07-23 | PG-PAI | Si | |
| 43,994 | 2,013 | ALAV1**111969 | 1969-11-09 | 49 | bca46ad7a817c818b183d67787f06342 | Hombre | 2013-09-02 | 2013-11-02 | PG-PR | No | |
| 159,397 | 2,019 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | NA | Mujer | 2019-07-26 | NA | M-PR | Si |
| 151,996 | 2,019 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | NA | Mujer | 2019-01-17 | 2019-07-25 | PG-PAI | Si |
| 140,739 | 2,018 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | NA | Mujer | 2018-08-08 | 2018-12-19 | M-PAI | Si |
| 133,695 | 2,018 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | NA | Mujer | 2018-02-07 | 2018-03-31 | M-PR | Si |
| 113,928 | 2,017 | JOCA2**121975 | 1975-12-25 | 43 | bcb10a8cc20dc71519d680540e680e5a | NA | Mujer | 2017-02-23 | 2017-06-30 | PG-PAB | Si |
| 104,221 | 2,016 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | Mujer | 2016-11-25 | 2017-02-01 | PG-PAB | Si | |
| 61,044 | 2,014 | JOCA2**121977 | 1977-12-25 | 41 | bcb10a8cc20dc71519d680540e680e5a | Mujer | 2014-02-26 | 2014-12-31 | PG-PAB | Si | |
| 104,876 | 2,016 | JUJO1**041985 | 1985-04-09 | 34 | bd5ac8bc57aa20e51de792ad5c7474d6 | Hombre | 2016-12-06 | 2017-02-01 | PG-PAB | Si | |
| 44,867 | 2,013 | JUJO1**041984 | 1984-04-09 | 35 | bd5ac8bc57aa20e51de792ad5c7474d6 | Hombre | 2013-08-22 | 2014-07-15 | PG-PAI | Si | |
| 157,917 | 2,019 | DADI1**111996 | 1996-11-08 | 23 | bd5fadd54db9e7caf015d560003440f4 | NA | Hombre | 2019-06-05 | NA | PG-PR | Si |
| 139,159 | 2,018 | DADI1**111996 | 1996-11-08 | 22 | bd5fadd54db9e7caf015d560003440f4 | NA | Hombre | 2018-05-30 | 2018-10-26 | PG-PAI | Si |
| 146,506 | 2,019 | NAUL2**041985 | 1985-04-15 | 34 | bd636cee67f5ff4bf08c216a860034df | NA | Mujer | 2018-01-25 | 2019-03-31 | M-PR | Si |
| 131,589 | 2,018 | NAUL2**041999 | 1999-04-15 | 20 | bd636cee67f5ff4bf08c216a860034df | NA | Mujer | 2017-11-07 | 2018-01-24 | M-PAI | Si |
| 106,593 | 2,017 | NAUL2**041985 | 1985-04-15 | 34 | bd636cee67f5ff4bf08c216a860034df | NA | Mujer | 2016-01-11 | 2017-11-06 | PG-PAB | Si |
| 146,685 | 2,019 | JUVI1**021985 | 1985-02-17 | 34 | bd8929416ae3ba71d9cfea7887957eb1 | NA | Hombre | 2018-02-22 | 2019-10-30 | PG-PR | Si |
| 133,527 | 2,018 | JUVI1**021984 | 1984-02-17 | 35 | bd8929416ae3ba71d9cfea7887957eb1 | NA | Hombre | 2018-02-06 | 2018-02-21 | PG-PAI | Si |
| 118,771 | 2,017 | JUVI1**021985 | 1985-02-17 | 34 | bd8929416ae3ba71d9cfea7887957eb1 | NA | Hombre | 2017-06-09 | 2017-07-27 | PG-PAI | Si |
| 36,880 | 2,013 | JARE1**011988 | 1988-01-10 | 31 | bdb94f07dc17dc5ae7cde691fed41272 | Hombre | 2013-02-12 | 2013-03-01 | PG-PAI | Si | |
| 31,521 | 2,012 | JARE1**011968 | 1968-01-10 | 51 | bdb94f07dc17dc5ae7cde691fed41272 | Hombre | 2012-11-06 | 2012-12-04 | PG-PR | Si | |
| 12,587 | 2,011 | JARE1**011988 | 1988-01-10 | 31 | bdb94f07dc17dc5ae7cde691fed41272 | Hombre | 2010-12-21 | 2011-05-31 | PG-PR | Si | |
| 142,666 | 2,018 | GAZA1**051979 | 1979-05-25 | 40 | bdd72abdd1c4ddf98fcc882a5410cbc5 | NA | Hombre | 2018-09-25 | 2018-12-10 | PG-PAI | Si |
| 48,265 | 2,014 | GAZA1**051978 | 1978-05-25 | 41 | bdd72abdd1c4ddf98fcc882a5410cbc5 | Hombre | 2013-01-02 | 2014-01-07 | PG-PR | Si | |
| 129,178 | 2,018 | BAGA2**031986 | 1986-03-04 | 33 | bde31338de6a454e11a31da13e9aa8ee | NA | Mujer | 2017-08-29 | 2018-07-11 | M-PAI | Si |
| 120,750 | 2,017 | BAGA2**041996 | 1996-04-03 | 23 | bde31338de6a454e11a31da13e9aa8ee | NA | Mujer | 2017-08-16 | 2017-08-24 | M-PR | Si |
| 146,973 | 2,019 | CASA2**061971 | 1971-06-16 | 48 | bde918a912ecd76fb65458ec7ba998dd | NA | Mujer | 2018-02-07 | NA | PG-PAI | Si |
| 111,899 | 2,017 | CASA2**061975 | 1975-06-16 | 44 | bde918a912ecd76fb65458ec7ba998dd | NA | Mujer | 2017-01-05 | 2017-10-01 | M-PR | Si |
| 101,288 | 2,016 | CASA2**061971 | 1971-06-16 | 48 | bde918a912ecd76fb65458ec7ba998dd | Mujer | 2016-08-16 | 2016-12-20 | M-PR | Si | |
| 85,735 | 2,016 | CASA2**061971 | 1971-06-16 | 48 | bde918a912ecd76fb65458ec7ba998dd | Mujer | 2014-07-01 | 2016-08-15 | PG-PAI | Si | |
| 117,563 | 2,017 | DACR1**091966 | 1966-09-27 | 53 | bdeeeb0f1ce7fc1259a2b9f2921d443d | NA | Hombre | 2017-05-01 | 2017-09-04 | PG-PAI | Si |
| 68,384 | 2,015 | DACR1**091966 | 1966-09-27 | 53 | bdeeeb0f1ce7fc1259a2b9f2921d443d | Hombre | 2014-08-06 | 2015-03-13 | PG-PAI | Si | |
| 29,783 | 2,012 | DACR1**091970 | 1970-09-27 | 49 | bdeeeb0f1ce7fc1259a2b9f2921d443d | Hombre | 2012-04-04 | 2012-12-14 | PG-PR | Si | |
| 112,015 | 2,017 | ADAR1**041987 | 1987-04-11 | 32 | bdf128c08da9e4719ae554f12f1258ec | NA | Hombre | 2017-01-23 | 2017-05-22 | PG-PAB | Si |
| 10,542 | 2,011 | ADAR1**041987 | 1987-04-11 | 32 | bdf128c08da9e4719ae554f12f1258ec | Hombre | 2010-05-07 | 2011-07-21 | PG-PAB | Si | |
| 2,599 | 2,010 | ADAR1**041984 | 1984-04-11 | 35 | bdf128c08da9e4719ae554f12f1258ec | Hombre | 2008-03-04 | 2009-09-15 | PG-PAB | Si | |
| 68,339 | 2,015 | FECI1**121984 | 1984-12-25 | 34 | bf1439617fbceec064cb1b984b427312 | Hombre | 2014-08-08 | 2015-03-01 | PG-PR | Si | |
| 49,971 | 2,014 | FECI1**121984 | 1984-12-25 | 34 | bf1439617fbceec064cb1b984b427312 | Hombre | 2013-06-14 | 2014-01-31 | PG-PR | Si | |
| 27,641 | 2,012 | FECI1**121984 | 1984-12-25 | 34 | bf1439617fbceec064cb1b984b427312 | Hombre | 2012-06-05 | 2013-01-02 | PG-PR | Si | |
| 30,176 | 2,012 | FECI1**121984 | 1984-12-25 | 34 | bf1439617fbceec064cb1b984b427312 | Hombre | 2012-05-02 | 2013-01-02 | PG-PR | Si | |
| 17,303 | 2,011 | FECI1**121984 | 1984-12-25 | 34 | bf1439617fbceec064cb1b984b427312 | Hombre | 2011-05-02 | 2012-03-30 | PG-PR | No | |
| 10,864 | 2,011 | FECI1**021984 | 1984-02-25 | 35 | bf1439617fbceec064cb1b984b427312 | Hombre | 2010-06-17 | 2011-06-06 | PG-PAB | Si | |
| 28,061 | 2,012 | NISO1**051965 | 1965-05-12 | 54 | bf35d83a5028f71a48aec83691bd0f5a | Hombre | 2012-06-14 | 2012-08-02 | PG-PAB | Si | |
| 10,470 | 2,011 | NISO1**101964 | 1964-10-29 | 55 | bf35d83a5028f71a48aec83691bd0f5a | Hombre | 2010-05-12 | 2011-07-30 | PG-PAB | Si | |
| 127,101 | 2,018 | CEBA2**121964 | 1964-12-22 | 54 | bf3e77e32080b2a5cea5f9b61535ac40 | NA | Mujer | 2017-03-13 | 2018-05-29 | M-PAI | Si |
| 105,544 | 2,017 | CEBA2**121966 | 1966-12-20 | 52 | bf3e77e32080b2a5cea5f9b61535ac40 | NA | Mujer | 2015-03-20 | 2017-02-06 | PG-PAB | Si |
| 52,602 | 2,014 | ANSA1**121986 | 1986-12-19 | 32 | bf4aab4cbc76397ebca6b4771b5b24ee | Hombre | 2013-11-15 | 2014-07-18 | PG-PR | Si | |
| 43,598 | 2,013 | ANSA1**081986 | 1986-08-19 | 33 | bf4aab4cbc76397ebca6b4771b5b24ee | Hombre | 2013-08-08 | 2013-09-30 | PG-PAB | Si | |
| 139,611 | 2,018 | CRHE1**041983 | 1983-04-22 | 36 | bf56da84d5676a861b6403d3616938ac | NA | Hombre | 2018-07-09 | 2018-10-10 | PG-PR | Si |
| 122,122 | 2,017 | CRHE1**041983 | 1983-04-22 | 36 | bf56da84d5676a861b6403d3616938ac | NA | Hombre | 2017-09-21 | 2017-10-27 | PG-PAI | Si |
| 68,388 | 2,015 | CRHE1**041993 | 1993-04-22 | 26 | bf56da84d5676a861b6403d3616938ac | Hombre | 2014-08-07 | 2015-05-08 | PG-PAI | Si | |
| 19,557 | 2,011 | CRHE1**041983 | 1983-04-22 | 36 | bf56da84d5676a861b6403d3616938ac | Hombre | 2011-09-29 | 2011-11-03 | PG-PR | Si | |
| 17,135 | 2,011 | CRHE1**041983 | 1983-04-22 | 36 | bf56da84d5676a861b6403d3616938ac | Hombre | 2011-07-01 | 2011-09-28 | PG-PAI | Si | |
| 15,944 | 2,011 | CRHE1**041983 | 1983-04-22 | 36 | bf56da84d5676a861b6403d3616938ac | Hombre | 2011-05-04 | 2011-06-30 | PG-PAB | Si | |
| 153,088 | 2,019 | CAMU1**111995 | 1995-11-24 | 23 | bfd457e901d040734de0bcfdd62c5b5e | NA | Hombre | 2019-01-28 | NA | PG-PAB | Si |
| 132,277 | 2,018 | CAMU1**111999 | 1999-11-24 | 19 | bfd457e901d040734de0bcfdd62c5b5e | NA | Hombre | 2017-12-29 | 2018-04-30 | PG-PAB | Si |
| 149,628 | 2,019 | JELE2**051987 | 1987-05-24 | 32 | c02c211f09957de3e588da647bf1d2e9 | NA | Mujer | 2018-10-03 | 2019-01-14 | M-PR | Si |
| 130,568 | 2,018 | JALE2**051987 | 1987-05-24 | 32 | c02c211f09957de3e588da647bf1d2e9 | NA | Mujer | 2017-09-07 | 2018-04-01 | PG-PAB | Si |
| 110,468 | 2,017 | JALE2**081988 | 1988-08-25 | 31 | c02c211f09957de3e588da647bf1d2e9 | NA | Mujer | 2016-11-24 | 2017-05-25 | M-PAI | Si |
| 156,286 | 2,019 | RUVE1**111991 | 1991-11-12 | 28 | c05acbd569a652a10fe02550497ea9d5 | NA | Hombre | 2019-04-16 | 2019-06-30 | PG-PAI | Si |
| 142,265 | 2,018 | RUVE1**111991 | 1991-11-12 | 27 | c05acbd569a652a10fe02550497ea9d5 | NA | Hombre | 2018-09-26 | 2018-09-28 | PG-PAB | Si |
| 130,361 | 2,018 | MIFI1**071971 | 1971-07-10 | 48 | c0840d8b33904a04bb0503adf8c53496 | NA | Hombre | 2017-10-03 | 2018-06-30 | PG-PAB | Si |
| 109,400 | 2,017 | MIFI1**071971 | 1971-07-10 | 48 | c0840d8b33904a04bb0503adf8c53496 | NA | Hombre | 2016-09-01 | 2017-06-01 | PG-PAI | Si |
| 19,496 | 2,011 | MIFI1**071977 | 1977-07-10 | 42 | c0840d8b33904a04bb0503adf8c53496 | Hombre | 2011-10-11 | 2012-03-01 | PG-PAB | Si | |
| 17,571 | 2,011 | CASI1**011992 | 1992-01-30 | 27 | c09d8d1122e865db0b9cb3a95663f5d5 | Hombre | 2011-07-04 | 2012-02-01 | PG-PAI | Si | |
| 15,681 | 2,011 | CASI1**011974 | 1974-01-30 | 45 | c09d8d1122e865db0b9cb3a95663f5d5 | Hombre | 2011-03-23 | 2011-05-31 | PG-PAB | Si | |
| 142,352 | 2,018 | HEIB1**011970 | 1970-01-27 | 49 | c09fa3cedfae6b4813fbecee4c086619 | NA | Hombre | 2018-08-20 | 2018-11-30 | PG-PAB | Si |
| 10,194 | 2,011 | HEIB1**011970 | 1970-01-27 | 49 | c09fa3cedfae6b4813fbecee4c086619 | Hombre | 2010-02-23 | 2011-09-29 | PG-PAI | Si | |
| 1,505 | 2,010 | HEIB1**011969 | 1969-01-27 | 50 | c09fa3cedfae6b4813fbecee4c086619 | Hombre | 2010-01-07 | 2010-03-10 | PG-PR | Si | |
| 154,088 | 2,019 | GAAR1**101979 | 1979-10-08 | 40 | c1055ae533c4dca884e506ed85772acc | NA | Hombre | 2019-02-25 | 2019-03-25 | PG-PR | Si |
| 152,845 | 2,019 | GAAR1**101979 | 1979-10-08 | 40 | c1055ae533c4dca884e506ed85772acc | NA | Hombre | 2019-02-05 | 2019-02-22 | PG-PAB | Si |
| 96,983 | 2,016 | GAAR1**101978 | 1978-10-10 | 41 | c1055ae533c4dca884e506ed85772acc | Hombre | 2016-05-03 | 2016-10-12 | PG-PAB | Si | |
| 71,429 | 2,015 | GAAR1**101979 | 1979-10-10 | 40 | c1055ae533c4dca884e506ed85772acc | Hombre | 2015-01-28 | 2015-06-25 | PG-PAB | Si | |
| 48,023 | 2,014 | OSPA1**081993 | 1993-08-17 | 26 | c162a27dbcaf0557bc73ef1f08cefdc5 | Hombre | 2011-03-10 | 2014-06-30 | PG-PAB | Si | |
| 22,218 | 2,012 | OSPA1**081983 | 1983-08-17 | 36 | c162a27dbcaf0557bc73ef1f08cefdc5 | Hombre | 2011-03-04 | 2012-01-20 | PG-PAB | Si | |
| 15,745 | 2,011 | OSPA1**081983 | 1983-08-17 | 36 | c162a27dbcaf0557bc73ef1f08cefdc5 | Hombre | 2011-03-11 | 2011-06-02 | PG-PAB | Si | |
| 34,179 | 2,013 | CAMO2**091993 | 1993-09-26 | 26 | c1b68dfddd142dc2a5dddf11377d20b6 | Mujer | 2012-09-12 | 2013-02-28 | PG-PAI | Si | |
| 12,718 | 2,011 | KAMO2**091981 | 1981-09-26 | 38 | c1b68dfddd142dc2a5dddf11377d20b6 | Mujer | 2011-01-24 | 2011-01-26 | M-PR | Si | |
| 97,036 | 2,016 | MASU1**051981 | 1981-05-17 | 38 | c2140317caed2481a9ce7bd9af47c801 | Hombre | 2016-05-02 | 2016-08-02 | PG-PAI | Si | |
| 81,964 | 2,015 | MASU1**111981 | 1981-11-17 | 37 | c2140317caed2481a9ce7bd9af47c801 | Hombre | 2015-09-09 | 2015-12-16 | PG-PAI | Si | |
| 75,571 | 2,015 | MASU1**111981 | 1981-11-17 | 37 | c2140317caed2481a9ce7bd9af47c801 | Hombre | 2015-03-02 | 2015-06-16 | PG-PAI | Si | |
| 54,461 | 2,014 | MASU1**111981 | 1981-11-17 | 37 | c2140317caed2481a9ce7bd9af47c801 | Hombre | 2014-02-05 | 2014-06-05 | PG-PAB | Si | |
| 146,025 | 2,019 | MARU2**111956 | 1956-11-10 | 63 | c23ebcaa778edb68668eb151a24342ba | NA | Mujer | 2017-07-03 | 2019-08-12 | PG-PAI | Si |
| 105,531 | 2,017 | MARU2**111956 | 1956-11-10 | 62 | c23ebcaa778edb68668eb151a24342ba | NA | Mujer | 2015-03-19 | 2017-07-01 | PG-PAI | Si |
| 53,812 | 2,014 | MARI2**111955 | 1955-11-10 | 63 | c23ebcaa778edb68668eb151a24342ba | Mujer | 2014-01-28 | 2014-10-06 | M-PR | Si | |
| 86,407 | 2,016 | LOCA2**051978 | 1978-05-11 | 41 | c29dfc9aa63c70e6ff96c966c553f7a6 | Mujer | 2015-01-16 | 2016-04-04 | PG-PAI | Si | |
| 50,081 | 2,014 | LOCA2**111978 | 1978-11-07 | 40 | c29dfc9aa63c70e6ff96c966c553f7a6 | Mujer | 2013-08-02 | 2015-01-02 | M-PR | Si | |
| 36,852 | 2,013 | LOCA2**111978 | 1978-11-07 | 40 | c29dfc9aa63c70e6ff96c966c553f7a6 | Mujer | 2013-02-19 | 2013-08-01 | PG-PAI | Si | |
| 156,481 | 2,019 | SEMO1**071998 | 1998-07-18 | 21 | c2abb8a78aec0b4924814e3185adff22 | NA | Hombre | 2019-03-28 | NA | PG-PAI | No |
| 126,426 | 2,018 | SEMO1**071996 | 1996-07-18 | 23 | c2abb8a78aec0b4924814e3185adff22 | NA | Hombre | 2016-11-10 | 2018-02-26 | PG-PAI | Si |
| 109,521 | 2,017 | CLFU1**081989 | 1989-08-08 | 30 | c2de110728d0a3e3fcef024c10fec40f | NA | Hombre | 2016-10-03 | 2017-04-04 | PG-PR | Si |
| 58,480 | 2,014 | CLFU1**081989 | 1989-08-08 | 30 | c2de110728d0a3e3fcef024c10fec40f | Hombre | 2014-06-09 | 2014-12-01 | PG-PAB | Si | |
| 15,170 | 2,011 | CLFU1**081988 | 1988-08-16 | 31 | c2de110728d0a3e3fcef024c10fec40f | Hombre | 2011-04-04 | 2011-06-22 | PG-PAB | Si | |
| 102,296 | 2,016 | NIAL2**121986 | 1986-12-06 | 32 | c2efffc5ed7bb5436bd0edffae08d403 | Mujer | 2016-08-30 | 2017-01-27 | PG-PAB | Si | |
| 48,659 | 2,014 | NIAL2**121986 | 1986-12-06 | 32 | c2efffc5ed7bb5436bd0edffae08d403 | Mujer | 2012-09-11 | 2014-06-30 | M-PAI | Si | |
| 29,159 | 2,012 | NIAL2**121986 | 1986-12-06 | 32 | c2efffc5ed7bb5436bd0edffae08d403 | Mujer | 2012-08-17 | 2012-10-06 | PG-PAI | Si | |
| 25,980 | 2,012 | NIAL2**061986 | 1986-06-12 | 33 | c2efffc5ed7bb5436bd0edffae08d403 | Mujer | 2012-03-26 | 2012-05-08 | PG-PAI | Si | |
| 35,577 | 2,013 | CRBA1**121991 | 1991-12-10 | 27 | c30f5d4ed4c83e69303550eccac0ef1f | Hombre | 2012-12-28 | 2013-03-15 | PG-PAI | Si | |
| 24,263 | 2,012 | CRBA1**021991 | 1991-02-10 | 28 | c30f5d4ed4c83e69303550eccac0ef1f | Hombre | 2012-01-10 | 2012-12-14 | PG-PR | Si | |
| 135,170 | 2,018 | LUPA1**111969 | 1969-11-15 | 49 | c3245056a1da56f4ff571b663538c38e | NA | Hombre | 2018-03-20 | 2018-09-01 | PG-PAI | Si |
| 107,953 | 2,017 | LUPA1**111969 | 1969-11-15 | 49 | c3245056a1da56f4ff571b663538c38e | NA | Hombre | 2016-07-12 | 2017-06-13 | PG-PAB | Si |
| 73,564 | 2,015 | LUPA1**031969 | 1969-03-15 | 50 | c3245056a1da56f4ff571b663538c38e | Hombre | 2015-03-02 | 2015-07-21 | PG-PAI | Si | |
| 43,418 | 2,013 | JOPE1**071992 | 1992-07-13 | 27 | c35dfba55eb173d8f1d01ac875f07c9e | Hombre | 2013-08-01 | 2013-09-26 | PG-PAB | Si | |
| 15,595 | 2,011 | JOPE1**071991 | 1991-07-13 | 28 | c35dfba55eb173d8f1d01ac875f07c9e | Hombre | 2011-04-19 | 2011-06-23 | PG-PAB | Si | |
| 157,119 | 2,019 | MADI1**061963 | 1963-06-12 | 56 | c386a30bc33dfa9d684f6fbf7d2a0317 | NA | Hombre | 2019-05-20 | 2019-05-28 | PG-PR | Si |
| 137,654 | 2,018 | MADI1**061966 | 1966-06-12 | 53 | c386a30bc33dfa9d684f6fbf7d2a0317 | NA | Hombre | 2018-04-13 | 2019-01-28 | PG-PAI | Si |
| 102,322 | 2,016 | PACA2**101978 | 1978-10-21 | 41 | c3a9e83c24be72355e44801935f19a8f | Mujer | 2016-09-27 | 2016-12-24 | M-PR | Si | |
| 99,922 | 2,016 | PACA2**101979 | 1979-10-21 | 40 | c3a9e83c24be72355e44801935f19a8f | Mujer | 2016-07-22 | 2016-09-26 | M-PAI | Si | |
| 138,355 | 2,018 | ALRE1**091997 | 1997-09-10 | 22 | c3b0ab0bb2cc5286ba129160f74135b7 | NA | Hombre | 2018-03-29 | 2018-05-31 | PG-PAI | Si |
| 54,240 | 2,014 | ALRE1**091971 | 1971-09-10 | 48 | c3b0ab0bb2cc5286ba129160f74135b7 | Hombre | 2013-11-06 | 2014-03-11 | PG-PAB | Si | |
| 74,126 | 2,015 | CRVI1**081980 | 1980-08-12 | 39 | c3cbfed46483416f043b5c0c693961de | Hombre | 2015-03-10 | 2015-04-01 | PG-PAI | Si | |
| 55,821 | 2,014 | CRVI1**011979 | 1979-01-01 | 40 | c3cbfed46483416f043b5c0c693961de | Hombre | 2014-03-12 | 2014-05-02 | PG-PAI | Si | |
| 155,566 | 2,019 | ANCO2**051986 | 1986-05-22 | 33 | c3d0b2830470921b9a772f6f4dea446c | NA | Mujer | 2019-04-10 | 2019-05-31 | M-PR | Si |
| 155,213 | 2,019 | ANCO2**051986 | 1986-05-22 | 33 | c3d0b2830470921b9a772f6f4dea446c | NA | Mujer | 2019-03-15 | 2019-04-09 | M-PAI | Si |
| 118,962 | 2,017 | ANCO2**061974 | 1974-06-10 | 45 | c3d0b2830470921b9a772f6f4dea446c | NA | Mujer | 2017-06-01 | 2017-10-22 | M-PAI | Si |
| 90,320 | 2,016 | ANCO2**051986 | 1986-05-22 | 33 | c3d0b2830470921b9a772f6f4dea446c | Mujer | 2015-10-05 | 2016-12-01 | M-PAI | Si | |
| 79,375 | 2,015 | ANCO2**051986 | 1986-05-22 | 33 | c3d0b2830470921b9a772f6f4dea446c | Mujer | 2015-07-01 | 2015-10-08 | PG-PR | Si | |
| 70,143 | 2,015 | ANCO2**051986 | 1986-05-22 | 33 | c3d0b2830470921b9a772f6f4dea446c | Mujer | 2014-11-04 | 2015-07-03 | M-PAI | Si | |
| 137,462 | 2,018 | EVCA2**081975 | 1975-08-29 | 44 | c3eacbf236d865e419d2734396934cc5 | NA | Mujer | 2018-05-18 | 2018-12-18 | M-PAI | Si |
| 94,302 | 2,016 | EVCA2**081976 | 1976-08-29 | 43 | c3eacbf236d865e419d2734396934cc5 | Mujer | 2016-02-11 | 2016-07-29 | PG-PAB | Si | |
| 86,914 | 2,016 | EVCA2**081975 | 1975-08-29 | 44 | c3eacbf236d865e419d2734396934cc5 | Mujer | 2015-03-19 | 2016-01-29 | PG-PAB | Si | |
| 49,595 | 2,014 | EVCA2**081975 | 1975-08-29 | 44 | c3eacbf236d865e419d2734396934cc5 | Mujer | 2013-06-29 | 2014-03-21 | PG-PAB | Si | |
| 35,109 | 2,013 | EVCA2**081975 | 1975-08-29 | 44 | c3eacbf236d865e419d2734396934cc5 | Mujer | 2012-12-13 | 2013-03-19 | M-PR | Si | |
| 23,135 | 2,012 | EVCA2**111992 | 1992-11-29 | 26 | c3eacbf236d865e419d2734396934cc5 | Mujer | 2011-11-30 | 2012-11-12 | M-PAI | Si | |
| 117,003 | 2,017 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | NA | Mujer | 2017-05-17 | 2017-08-18 | M-PAI | Si |
| 81,746 | 2,015 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2015-09-25 | 2015-11-02 | PG-PAI | Si | |
| 73,714 | 2,015 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2015-03-20 | 2015-08-01 | M-PR | Si | |
| 58,631 | 2,014 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2014-06-02 | 2014-06-10 | M-PR | Si | |
| 53,790 | 2,014 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2014-01-09 | 2014-05-15 | PG-PAI | Si | |
| 46,214 | 2,013 | CACU2**011993 | 1993-01-02 | 26 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2013-11-12 | 2013-12-02 | M-PR | Si | |
| 36,351 | 2,013 | CACU2**011994 | 1994-01-02 | 25 | c417a00faa2fa2010bdc63243380c8cc | Mujer | 2012-06-20 | 2013-10-01 | M-PR | Si | |
| 94,252 | 2,016 | CEVI2**101979 | 1979-10-28 | 40 | c4396b22647f28f777c3b8c731506767 | Mujer | 2016-02-12 | 2016-03-14 | M-PR | Si | |
| 93,528 | 2,016 | CEVI2**101980 | 1980-10-28 | 39 | c4396b22647f28f777c3b8c731506767 | Mujer | 2016-02-12 | 2016-02-13 | M-PR | No | |
| 113,363 | 2,017 | GUHU2**121965 | 1965-12-20 | 53 | c4597a331b5ede2ef62596b28de38f51 | NA | Mujer | 2017-02-13 | 2017-11-30 | M-PAI | Si |
| 73,557 | 2,015 | GUHU2**121995 | 1995-12-20 | 23 | c4597a331b5ede2ef62596b28de38f51 | Mujer | 2015-03-02 | 2016-01-04 | PG-PAI | Si | |
| 155,909 | 2,019 | JAFI1**111984 | 1984-11-22 | 34 | c45d295f8c32c97ba06e8f5f5bd3f231 | NA | Hombre | 2019-04-01 | NA | PG-PAI | Si |
| 130,570 | 2,018 | MEOS1**071967 | 1967-07-30 | 52 | c45d295f8c32c97ba06e8f5f5bd3f231 | NA | Hombre | 2017-10-23 | 2018-08-01 | PG-PAI | Si |
| 18,822 | 2,011 | JAFI1**111984 | 1984-11-22 | 34 | c45d295f8c32c97ba06e8f5f5bd3f231 | Hombre | 2011-08-01 | 2011-12-30 | PG-PAB | Si | |
| 157,906 | 2,019 | SED&1**031989 | 1989-03-12 | 30 | c47b27a3e0ce9e5e4b9695cfd99311a6 | NA | Hombre | 2019-06-03 | 2019-07-01 | PG-PAI | Si |
| 146,459 | 2,019 | SED&1**031999 | 1999-03-12 | 20 | c47b27a3e0ce9e5e4b9695cfd99311a6 | NA | Hombre | 2017-10-30 | 2019-05-31 | PG-PAB | Si |
| 105,501 | 2,017 | SEDA1**031989 | 1989-03-12 | 30 | c47b27a3e0ce9e5e4b9695cfd99311a6 | NA | Hombre | 2015-02-19 | 2017-08-31 | PG-PAI | Si |
| 134,603 | 2,018 | ALPE1**041979 | 1979-04-03 | 40 | c4b666094b18d0909e7d2a03bde4b5ac | NA | Hombre | 2018-01-18 | 2018-06-26 | PG-PAI | Si |
| 36,236 | 2,013 | ALPE1**041979 | 1979-04-03 | 40 | c4b666094b18d0909e7d2a03bde4b5ac | Hombre | 2013-01-30 | 2013-09-27 | PG-PAB | Si | |
| 26,795 | 2,012 | ALPE1**041980 | 1980-04-03 | 39 | c4b666094b18d0909e7d2a03bde4b5ac | Hombre | 2012-05-22 | 2013-01-11 | PG-PAB | Si | |
| 130,936 | 2,018 | ANVE1**041968 | 1968-04-15 | 51 | c4c0c35532b766b0196a2c2129e1515c | NA | Hombre | 2017-11-20 | 2018-02-27 | PG-PR | Si |
| 91,580 | 2,016 | ANVE1**041978 | 1978-04-15 | 41 | c4c0c35532b766b0196a2c2129e1515c | Hombre | 2015-12-11 | 2016-05-02 | PG-PAI | Si | |
| 38,540 | 2,013 | CRCI1**101965 | 1965-10-04 | 54 | c4c5ecb48224e5a46b828964df41de5b | Hombre | 2013-03-18 | 2014-01-22 | PG-PAB | Si | |
| 19,489 | 2,011 | CRCI1**101969 | 1969-10-04 | 50 | c4c5ecb48224e5a46b828964df41de5b | Hombre | 2011-10-17 | 2012-01-04 | PG-PAB | Si | |
| 81,112 | 2,015 | JUMA1**061972 | 1972-06-18 | 47 | c4e0e27172c8f7ffc75aa599bd46f37f | Hombre | 2015-08-24 | 2015-12-01 | PG-PAI | Si | |
| 69,009 | 2,015 | JUMA1**061982 | 1982-06-18 | 37 | c4e0e27172c8f7ffc75aa599bd46f37f | Hombre | 2014-10-09 | 2015-08-25 | PG-PAB | Si | |
| 36,713 | 2,013 | ALAG1**021994 | 1994-02-04 | 25 | c4f4e254f4e5224db6b81d5f0fdddb6e | Hombre | 2013-02-06 | 2013-02-06 | PG-PAI | Si | |
| 2,229 | 2,010 | MARO1**111955 | 1955-11-11 | 63 | c4f4e254f4e5224db6b81d5f0fdddb6e | Hombre | 2008-11-03 | 2009-09-30 | PG-PR | Si | |
| 153,907 | 2,019 | IVMO1**091970 | 1970-09-26 | 49 | c51a5b958f10c95dbbf9cdd9a42cfffd | NA | Hombre | 2019-02-19 | 2019-03-02 | PG-PR | Si |
| 95,184 | 2,016 | IVMO1**091970 | 1970-09-26 | 49 | c51a5b958f10c95dbbf9cdd9a42cfffd | Hombre | 2016-03-14 | 2016-03-18 | PG-PR | Si | |
| 44,521 | 2,013 | IVMO1**091971 | 1971-09-26 | 48 | c51a5b958f10c95dbbf9cdd9a42cfffd | Hombre | 2013-09-06 | 2013-11-18 | PG-PR | Si | |
| 117,194 | 2,017 | CACA1**041989 | 1989-04-21 | 30 | c59496365b03c317f37c4dbbf8fa3c7f | NA | Hombre | 2017-05-23 | 2017-08-01 | PG-PAI | Si |
| 114,324 | 2,017 | CACA1**041989 | 1989-04-21 | 30 | c59496365b03c317f37c4dbbf8fa3c7f | NA | Hombre | 2017-03-16 | 2017-05-16 | PG-PR | Si |
| 85,833 | 2,016 | CACA1**041999 | 1999-04-21 | 20 | c59496365b03c317f37c4dbbf8fa3c7f | Hombre | 2014-08-13 | 2016-05-02 | PG-PAI | Si | |
| 117,245 | 2,017 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | NA | Mujer | 2017-05-10 | 2017-05-22 | PG-PAI | Si |
| 112,935 | 2,017 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | NA | Mujer | 2017-01-03 | 2017-03-23 | PG-PAI | Si |
| 103,633 | 2,016 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | Mujer | 2016-10-24 | 2016-12-01 | M-PR | Si | |
| 97,813 | 2,016 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | Mujer | 2016-05-24 | 2016-07-01 | M-PR | Si | |
| 60,483 | 2,014 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | Mujer | 2014-07-02 | 2014-11-10 | PG-PAI | Si | |
| 50,288 | 2,014 | MAVE2**021982 | 1982-02-19 | 37 | c60b55d60d0fb7abffb2aeec1b771adf | Mujer | 2013-08-15 | 2014-01-02 | PG-PAI | Si | |
| 27,164 | 2,012 | MAVE2**021984 | 1984-02-19 | 35 | c60b55d60d0fb7abffb2aeec1b771adf | Mujer | 2012-05-07 | 2012-11-05 | PG-PAI | Si | |
| 131,572 | 2,018 | CRAL1**111994 | 1994-11-22 | 24 | c64ebf5bd7017afb4c63f30eade00640 | NA | Hombre | 2017-11-21 | 2018-10-26 | PG-PAI | Si |
| 49,107 | 2,014 | CRAL1**051994 | 1994-05-20 | 25 | c64ebf5bd7017afb4c63f30eade00640 | Hombre | 2013-05-30 | 2014-08-26 | PG-PAI | Si | |
| 119,474 | 2,017 | MAGO2**081980 | 1980-08-28 | 39 | c6501ed916395f275ba1b3fe0d03b326 | NA | Mujer | 2017-07-21 | 2017-09-27 | M-PR | Si |
| 117,353 | 2,017 | MAGO2**081990 | 1990-08-28 | 29 | c6501ed916395f275ba1b3fe0d03b326 | NA | Mujer | 2017-04-26 | 2017-07-20 | PG-PAI | Si |
| 114,034 | 2,017 | MAGO2**081990 | 1990-08-28 | 29 | c6501ed916395f275ba1b3fe0d03b326 | NA | Mujer | 2017-02-28 | 2017-05-02 | M-PR | Si |
| 111,173 | 2,017 | MAGO2**081990 | 1990-08-28 | 29 | c6501ed916395f275ba1b3fe0d03b326 | NA | Mujer | 2016-11-09 | 2017-02-28 | PG-PAI | Si |
| 81,914 | 2,015 | MAGO2**081990 | 1990-08-28 | 29 | c6501ed916395f275ba1b3fe0d03b326 | Mujer | 2015-09-03 | 2015-10-13 | PG-PAI | Si | |
| 111,136 | 2,017 | DACO1**121966 | 1966-12-04 | 52 | c65548c5f42e998f306235e5a4b808f1 | NA | Hombre | 2016-12-14 | 2017-09-04 | PG-PR | Si |
| 94,318 | 2,016 | DACO1**121965 | 1965-12-04 | 53 | c65548c5f42e998f306235e5a4b808f1 | Hombre | 2016-01-04 | 2016-12-13 | PG-PAI | Si | |
| 49,427 | 2,014 | DACO1**121968 | 1968-12-04 | 50 | c65548c5f42e998f306235e5a4b808f1 | Hombre | 2013-06-11 | 2014-04-22 | PG-PR | Si | |
| 153,543 | 2,019 | HUDO1**111969 | 1969-11-19 | 49 | c668aa3153ea4a1a4435c45557feb80b | NA | Hombre | 2019-02-19 | 2019-03-09 | PG-PR | Si |
| 42,521 | 2,013 | HUDO1**091969 | 1969-09-19 | 50 | c668aa3153ea4a1a4435c45557feb80b | Hombre | 2013-06-28 | 2013-07-09 | PG-PR | Si | |
| 12,534 | 2,011 | HUDO1**111969 | 1969-11-19 | 49 | c668aa3153ea4a1a4435c45557feb80b | Hombre | 2010-11-15 | 2011-01-03 | PG-PR | Si | |
| 148,190 | 2,019 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | NA | Mujer | 2018-07-03 | 2019-05-01 | PG-PAB | Si |
| 135,424 | 2,018 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | NA | Mujer | 2018-03-28 | 2018-04-12 | M-PR | Si |
| 133,619 | 2,018 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | NA | Mujer | 2017-11-28 | 2018-03-27 | PG-PAB | Si |
| 116,914 | 2,017 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | NA | Mujer | 2017-05-22 | 2017-06-16 | M-PR | Si |
| 102,479 | 2,016 | GLGA2**101995 | 1995-10-02 | 24 | c6825876f65706ad09e567b036367f33 | Mujer | 2016-09-20 | 2016-11-29 | PG-PAB | Si | |
| 92,969 | 2,016 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | Mujer | 2016-01-06 | 2016-01-16 | M-PR | Si | |
| 90,251 | 2,016 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | Mujer | 2015-10-15 | 2016-01-04 | PG-PAI | Si | |
| 68,106 | 2,015 | GLGA2**111990 | 1990-11-02 | 29 | c6825876f65706ad09e567b036367f33 | Mujer | 2014-08-20 | 2015-10-26 | PG-PAB | Si | |
| 162,978 | 2,019 | CAHI1**111986 | 1986-11-09 | 33 | c69435e7d3d8691db699d6debe26395e | NA | Hombre | 2019-10-02 | NA | PG-PAI | Si |
| 139,206 | 2,018 | CAHI1**111986 | 1986-11-09 | 32 | c69435e7d3d8691db699d6debe26395e | NA | Hombre | 2018-06-01 | 2018-12-01 | PG-PAI | Si |
| 125,703 | 2,017 | CAHI1**111986 | 1986-11-09 | 32 | c69435e7d3d8691db699d6debe26395e | NA | Hombre | 2017-12-04 | 2018-02-01 | PG-PAB | Si |
| 114,169 | 2,017 | JUSO1**111991 | 1991-11-20 | 27 | c6cd0322a5d9822fe6a73aa31e8ed67f | NA | Hombre | 2017-01-23 | 2017-05-31 | PG-PAI | Si |
| 87,830 | 2,016 | JUSO1**111999 | 1999-11-20 | 19 | c6cd0322a5d9822fe6a73aa31e8ed67f | Hombre | 2015-06-15 | 2016-11-10 | PG-PAB | Si | |
| 109,437 | 2,017 | CLRE1**021987 | 1987-02-23 | 32 | c75e097bd43037e22cc3dfe017edb2cc | NA | Hombre | 2016-08-23 | 2017-04-01 | PG-PAB | Si |
| 96,394 | 2,016 | CLRE1**021986 | 1986-02-23 | 33 | c75e097bd43037e22cc3dfe017edb2cc | Hombre | 2016-04-12 | 2016-06-30 | PG-PAB | Si | |
| 76,406 | 2,015 | KAJO1**051998 | 1998-05-05 | 21 | c7713fe3e6fa0975435ea391005c5d60 | Hombre | 2015-05-20 | 2015-11-02 | PG-PAI | Si | |
| 59,020 | 2,014 | KAJO2**061989 | 1989-06-01 | 30 | c7713fe3e6fa0975435ea391005c5d60 | Mujer | 2014-06-13 | 2014-08-25 | PG-PAI | Si | |
| 66,062 | 2,015 | VIPE1**021976 | 1976-02-10 | 43 | c785d666e224dd5b52a1873e49d623e1 | Hombre | 2013-10-25 | 2014-05-30 | PG-PAB | Si | |
| 38,180 | 2,013 | VIPE1**021967 | 1967-02-10 | 52 | c785d666e224dd5b52a1873e49d623e1 | Hombre | 2013-03-18 | 2013-10-22 | PG-PR | Si | |
| 23,048 | 2,012 | VIPE1**021967 | 1967-02-10 | 52 | c785d666e224dd5b52a1873e49d623e1 | Hombre | 2011-11-09 | 2012-03-27 | PG-PAB | Si | |
| 133,204 | 2,018 | MAQU1**051977 | 1977-05-30 | 42 | c797504fae3149e7bd86c27976ceedf4 | NA | Hombre | 2018-01-10 | 2018-09-04 | PG-PAB | Si |
| 109,149 | 2,017 | MAQU1**051996 | 1996-05-16 | 23 | c797504fae3149e7bd86c27976ceedf4 | NA | Hombre | 2016-09-26 | 2017-02-02 | PG-PAB | Si |
| 66,533 | 2,015 | LEGA1**101994 | 1994-10-22 | 25 | c7a7f61ff04d7077a9707a1c0a5bb448 | Hombre | 2014-03-10 | 2015-03-17 | PG-PR | Si | |
| 11,190 | 2,011 | LEGA1**101988 | 1988-10-12 | 31 | c7a7f61ff04d7077a9707a1c0a5bb448 | Hombre | 2010-08-26 | 2011-01-04 | PG-PAI | Si | |
| 111,303 | 2,017 | PIHE2**101963 | 1963-10-02 | 56 | c7b5ed49858d3006209e4e5ddf64a2d4 | NA | Mujer | 2016-11-11 | 2017-05-01 | PG-PAB | Si |
| 50,995 | 2,014 | PIHE2**101953 | 1953-10-02 | 66 | c7b5ed49858d3006209e4e5ddf64a2d4 | Mujer | 2013-10-01 | 2014-03-17 | PG-PAB | Si | |
| 37,439 | 2,013 | DAME1**071974 | 1974-07-29 | 45 | c7c6e4802d88d24f8d9529f20ebba71f | Hombre | 2013-02-11 | 2013-08-20 | PG-PR | Si | |
| 35,564 | 2,013 | DAME1**071993 | 1993-07-29 | 26 | c7c6e4802d88d24f8d9529f20ebba71f | Hombre | 2013-01-09 | 2013-02-26 | PG-PAI | Si | |
| 25,617 | 2,012 | DAME1**071974 | 1974-07-29 | 45 | c7c6e4802d88d24f8d9529f20ebba71f | Hombre | 2012-03-16 | 2012-03-30 | PG-PR | Si | |
| 112,730 | 2,017 | HAJA1**101969 | 1969-10-09 | 50 | c7d35a6a29cb9b4d782af4ede1b54479 | NA | Hombre | 2017-01-09 | 2017-03-20 | PG-PR | Si |
| 59,343 | 2,014 | HAJA1**101979 | 1979-10-09 | 40 | c7d35a6a29cb9b4d782af4ede1b54479 | Hombre | 2014-06-30 | 2014-10-13 | PG-PR | Si | |
| 58,354 | 2,014 | HAJA1**101979 | 1979-10-09 | 40 | c7d35a6a29cb9b4d782af4ede1b54479 | Hombre | 2014-05-08 | 2014-06-30 | PG-PR | No | |
| 26,422 | 2,012 | HAJA1**101979 | 1979-10-09 | 40 | c7d35a6a29cb9b4d782af4ede1b54479 | Hombre | 2012-04-24 | 2012-10-09 | PG-PR | Si | |
| 111,959 | 2,017 | SEVE1**111998 | 1998-11-08 | 20 | c7ea41cd85a11c5df46967b1e5ddca8d | NA | Hombre | 2017-01-10 | 2017-05-01 | PG-PAI | Si |
| 110,788 | 2,017 | SEVE1**111988 | 1988-11-08 | 30 | c7ea41cd85a11c5df46967b1e5ddca8d | NA | Hombre | 2016-11-28 | 2017-01-04 | PG-PR | Si |
| 86,254 | 2,016 | SEVE1**111988 | 1988-11-08 | 30 | c7ea41cd85a11c5df46967b1e5ddca8d | Hombre | 2014-06-18 | 2016-11-02 | PG-PAB | Si | |
| 54,535 | 2,014 | SEVE1**111988 | 1988-11-08 | 30 | c7ea41cd85a11c5df46967b1e5ddca8d | Hombre | 2013-12-09 | 2014-05-30 | PG-PAB | Si | |
| 33,024 | 2,013 | SEVE1**111988 | 1988-11-08 | 30 | c7ea41cd85a11c5df46967b1e5ddca8d | Hombre | 2012-05-30 | 2013-08-22 | PG-PAI | Si | |
| 75,378 | 2,015 | PADI2**021985 | 1985-02-02 | 34 | c8319d2ec9bbdbc654c7ccf45ef5f111 | Mujer | 2015-04-27 | 2015-06-12 | M-PR | Si | |
| 56,903 | 2,014 | PADI2**021989 | 1989-02-02 | 30 | c8319d2ec9bbdbc654c7ccf45ef5f111 | Mujer | 2014-04-21 | 2014-10-31 | PG-PAI | Si | |
| 53,398 | 2,014 | PADI2**021989 | 1989-02-02 | 30 | c8319d2ec9bbdbc654c7ccf45ef5f111 | Mujer | 2014-01-03 | 2014-02-27 | PG-PAI | Si | |
| 162,553 | 2,019 | HEME1**111976 | 1976-11-08 | 43 | c8661ddb3a775a39abe92ecbe129d2e7 | NA | Hombre | 2019-10-08 | NA | PG-PR | Si |
| 11,082 | 2,011 | HEME1**111976 | 1976-11-08 | 42 | c8661ddb3a775a39abe92ecbe129d2e7 | Hombre | 2010-08-20 | 2011-10-28 | PG-PAI | Si | |
| 161,652 | 2,019 | HUTH1**071993 | 1993-07-10 | 26 | c8ec9fc0ababc3b18af28033a9b0df67 | NA | Hombre | 2019-09-16 | NA | PG-PAI | Si |
| 149,612 | 2,019 | HUTH1**071993 | 1993-07-10 | 26 | c8ec9fc0ababc3b18af28033a9b0df67 | NA | Hombre | 2018-10-01 | 2019-05-02 | PG-PAI | Si |
| 132,270 | 2,018 | HUTH1**071995 | 1995-07-10 | 24 | c8ec9fc0ababc3b18af28033a9b0df67 | NA | Hombre | 2017-12-11 | 2018-02-20 | PG-PAI | Si |
| 158,124 | 2,019 | ERBA1**111983 | 1983-11-08 | 36 | c8f4683691c5c8b274e741f9a6a24072 | NA | Hombre | 2019-06-18 | 2019-07-26 | PG-PAI | Si |
| 109,032 | 2,017 | ERBA1**111983 | 1983-11-08 | 35 | c8f4683691c5c8b274e741f9a6a24072 | NA | Hombre | 2016-09-09 | 2017-04-25 | PG-PAI | Si |
| 157,623 | 2,019 | SALA2**111968 | 1968-11-07 | 51 | c950fe2e8571fef461c7bcbd59114534 | NA | Mujer | 2019-05-24 | 2019-08-06 | M-PR | Si |
| 41,946 | 2,013 | SALA2**111968 | 1968-11-07 | 50 | c950fe2e8571fef461c7bcbd59114534 | Mujer | 2013-07-17 | 2014-01-27 | M-PAI | Si | |
| 23,185 | 2,012 | SALA2**111968 | 1968-11-07 | 50 | c950fe2e8571fef461c7bcbd59114534 | Mujer | 2011-11-16 | 2012-11-01 | PG-PAI | Si | |
| 66,366 | 2,015 | PATA1**061981 | 1981-06-22 | 38 | c9a4c16ccb614dc09fc8bad7802dda2c | Hombre | 2014-02-04 | 2015-05-05 | PG-PAB | Si | |
| 15,683 | 2,011 | PATA1**021982 | 1982-02-03 | 37 | c9a4c16ccb614dc09fc8bad7802dda2c | Hombre | 2011-03-03 | 2011-06-01 | PG-PAI | Si | |
| 89,011 | 2,016 | NAPE2**011988 | 1988-01-05 | 31 | c9b3b86aadc212099417e25f2723d11f | Mujer | 2015-07-15 | 2016-09-30 | M-PAI | Si | |
| 11,561 | 2,011 | NAPE2**011988 | 1988-01-05 | 31 | c9b3b86aadc212099417e25f2723d11f | Mujer | 2010-10-13 | 2011-07-29 | PG-PAI | Si | |
| 4,789 | 2,010 | NAPE2**011987 | 1987-01-05 | 32 | c9b3b86aadc212099417e25f2723d11f | Mujer | 2010-03-15 | 2010-06-14 | PG-PAI | Si | |
| 1,437 | 2,010 | NAPE2**011988 | 1988-01-05 | 31 | c9b3b86aadc212099417e25f2723d11f | Mujer | 2009-12-02 | 2010-02-18 | M-PR | Si | |
| 129,569 | 2,018 | MANA2**051968 | 1968-05-17 | 51 | c9bb6f67816dc9b3bdfad50617829a58 | NA | Mujer | 2017-08-16 | 2018-04-01 | PG-PAB | Si |
| 107,837 | 2,017 | MANA2**051968 | 1968-05-17 | 51 | c9bb6f67816dc9b3bdfad50617829a58 | NA | Mujer | 2016-06-30 | 2017-03-31 | M-PR | Si |
| 86,075 | 2,016 | MANA2**051988 | 1988-05-17 | 31 | c9bb6f67816dc9b3bdfad50617829a58 | Mujer | 2014-11-10 | 2016-06-29 | PG-PAB | Si | |
| 161,962 | 2,019 | LUCE1**111986 | 1986-11-10 | 33 | c9dc3ce8e4cc1c71fc83e278404ff2ad | NA | Hombre | 2019-09-27 | 2019-10-07 | PG-PR | Si |
| 133,474 | 2,018 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | NA | Hombre | 2018-01-29 | 2018-02-05 | PG-PR | Si |
| 92,372 | 2,016 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | Hombre | 2016-01-20 | 2016-12-20 | PG-PR | Si | |
| 44,190 | 2,013 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | Hombre | 2013-09-24 | 2014-05-29 | PG-PAI | Si | |
| 35,582 | 2,013 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | Hombre | 2013-01-18 | 2013-02-20 | PG-PR | Si | |
| 28,220 | 2,012 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | Hombre | 2012-07-09 | 2012-07-09 | Otro | No | |
| 17,872 | 2,011 | LUCE1**111986 | 1986-11-10 | 32 | c9dc3ce8e4cc1c71fc83e278404ff2ad | Hombre | 2011-08-17 | 2011-10-03 | PG-PAI | Si | |
| 40,628 | 2,013 | MIRI1**061994 | 1994-06-10 | 25 | c9e9eb98fed76beed7302acaa3343a60 | Hombre | 2013-05-22 | 2013-09-30 | PG-PAI | Si | |
| 10,979 | 2,011 | MIRI1**021974 | 1974-02-28 | 45 | c9e9eb98fed76beed7302acaa3343a60 | Hombre | 2010-08-23 | 2011-02-22 | PG-PAI | Si | |
| 149,733 | 2,019 | JOAG1**061984 | 1984-06-23 | 35 | ca34e84efb83b5cc2c300313b08c8431 | NA | Hombre | 2018-10-16 | 2019-02-01 | PG-PAI | Si |
| 32,994 | 2,013 | JOAG1**061984 | 1984-06-23 | 35 | ca34e84efb83b5cc2c300313b08c8431 | Hombre | 2012-04-12 | 2013-09-09 | PG-PR | Si | |
| 10,749 | 2,011 | JOAG1**061983 | 1983-06-23 | 36 | ca34e84efb83b5cc2c300313b08c8431 | Hombre | 2010-06-21 | 2012-01-02 | PG-PAI | Si | |
| 152,023 | 2,019 | YERO1**111977 | 1977-11-10 | 42 | caa7b3a0243e6e9b455cbd62b73b05f6 | NA | Hombre | 2019-01-04 | 2019-07-15 | PG-PAI | Si |
| 97,568 | 2,016 | YERO1**111977 | 1977-11-10 | 41 | caa7b3a0243e6e9b455cbd62b73b05f6 | Hombre | 2016-05-19 | 2016-07-01 | PG-PAI | Si | |
| 88,858 | 2,016 | YERO1**111977 | 1977-11-10 | 41 | caa7b3a0243e6e9b455cbd62b73b05f6 | Hombre | 2015-07-27 | 2016-04-01 | PG-PAI | Si | |
| 105,864 | 2,017 | PACO2**021987 | 1987-02-28 | 32 | cae3ce4f0d72b2bc5caec9bb0c248cbb | NA | Mujer | 2015-03-18 | 2017-02-28 | PG-PAI | Si |
| 73,800 | 2,015 | PACO2**021983 | 1983-02-28 | 36 | cae3ce4f0d72b2bc5caec9bb0c248cbb | Mujer | 2015-03-23 | 2015-06-01 | M-PR | Si | |
| 68,512 | 2,015 | PACO2**021983 | 1983-02-28 | 36 | cae3ce4f0d72b2bc5caec9bb0c248cbb | Mujer | 2014-09-03 | 2015-01-21 | M-PR | Si | |
| 159,618 | 2,019 | LULE1**051958 | 1958-05-01 | 61 | caeb5146ddfb7eb43dfa2b8cec4dac9e | NA | Hombre | 2019-07-12 | 2019-10-15 | PG-PR | No |
| 157,810 | 2,019 | LULE1**051958 | 1958-05-01 | 61 | caeb5146ddfb7eb43dfa2b8cec4dac9e | NA | Hombre | 2019-05-16 | 2019-07-11 | PG-PAI | Si |
| 129,891 | 2,018 | LULE1**051958 | 1958-05-01 | 61 | caeb5146ddfb7eb43dfa2b8cec4dac9e | NA | Hombre | 2017-08-25 | 2019-01-29 | PG-PAI | Si |
| 107,929 | 2,017 | LULE1**051996 | 1996-05-01 | 23 | caeb5146ddfb7eb43dfa2b8cec4dac9e | NA | Hombre | 2016-07-05 | 2017-03-01 | PG-PAB | Si |
| 134,106 | 2,018 | SOOR2**111971 | 1971-11-16 | 47 | caef74376cb252c59748ce27f9b7b077 | NA | Mujer | 2018-02-24 | 2018-12-31 | M-PR | Si |
| 130,340 | 2,018 | SOOR2**101971 | 1971-10-16 | 48 | caef74376cb252c59748ce27f9b7b077 | NA | Mujer | 2017-10-02 | 2018-02-23 | PG-PAI | Si |
| 117,061 | 2,017 | SOOR2**111971 | 1971-11-16 | 47 | caef74376cb252c59748ce27f9b7b077 | NA | Mujer | 2017-05-24 | 2017-09-28 | M-PR | Si |
| 105,712 | 2,017 | SOOR2**111971 | 1971-11-16 | 47 | caef74376cb252c59748ce27f9b7b077 | NA | Mujer | 2015-06-16 | 2017-05-23 | PG-PAI | Si |
| 151,614 | 2,019 | DAOR1**111966 | 1966-11-12 | 53 | caf8ffaf6c4c70d496eff66ba35c7dcb | NA | Hombre | 2018-12-20 | NA | PG-PAB | Si |
| 88,080 | 2,016 | DAOR1**111966 | 1966-11-12 | 52 | caf8ffaf6c4c70d496eff66ba35c7dcb | Hombre | 2015-07-06 | 2016-07-22 | PG-PAB | Si | |
| 147,239 | 2,019 | ENAG1**101981 | 1981-10-22 | 38 | caf9853b922323cbd9834b4ba996938e | NA | Hombre | 2018-04-10 | 2019-09-16 | PG-PAI | Si |
| 56,915 | 2,014 | ENAG1**111981 | 1981-11-22 | 37 | caf9853b922323cbd9834b4ba996938e | Hombre | 2014-04-01 | 2014-08-01 | PG-PAB | Si | |
| 129,208 | 2,018 | MAPU1**091959 | 1959-09-18 | 60 | cb2bece5f3b04d58bfad44afe6a882b7 | NA | Hombre | 2017-07-26 | 2018-05-31 | PG-PAI | Si |
| 49,432 | 2,014 | MAFU1**091954 | 1954-09-18 | 65 | cb2bece5f3b04d58bfad44afe6a882b7 | Hombre | 2013-06-11 | 2014-08-18 | PG-PAI | Si | |
| 10,041 | 2,011 | MAPU1**091959 | 1959-09-18 | 60 | cb2bece5f3b04d58bfad44afe6a882b7 | Hombre | 2010-01-04 | 2011-08-30 | PG-PAI | Si | |
| 108,530 | 2,017 | HUAG1**081983 | 1983-08-10 | 36 | cb9b53a128c22b043726883df19954d4 | NA | Hombre | 2016-08-05 | 2017-08-16 | PG-PAI | Si |
| 74,299 | 2,015 | HUAG1**081988 | 1988-08-10 | 31 | cb9b53a128c22b043726883df19954d4 | Hombre | 2015-03-02 | 2015-09-07 | PG-PAI | Si | |
| 57,987 | 2,014 | HEAG1**111974 | 1974-11-04 | 45 | cbabbbd0eeb00408ae7d624dff0519d1 | Hombre | 2014-05-05 | 2014-07-07 | PG-PAI | Si | |
| 50,741 | 2,014 | HEAG1**111971 | 1971-11-04 | 48 | cbabbbd0eeb00408ae7d624dff0519d1 | Hombre | 2013-09-16 | 2014-04-03 | PG-PAI | Si | |
| 138,121 | 2,018 | EVOL1**081962 | 1962-08-02 | 57 | cbc8ab748f26f72a17bbe42e896b320c | NA | Hombre | 2018-04-11 | 2018-12-18 | PG-PAI | Si |
| 126,806 | 2,018 | EVOL2**081972 | 1972-08-02 | 47 | cbc8ab748f26f72a17bbe42e896b320c | NA | Mujer | 2017-02-01 | 2018-02-07 | PG-PAI | Si |
| 153,744 | 2,019 | SEPI1**081988 | 1988-08-10 | 31 | cbdce906270510e5ac784a167b5866a7 | NA | Hombre | 2019-02-01 | 2019-09-01 | PG-PAB | Si |
| 61,696 | 2,014 | SEPI1**081982 | 1982-08-10 | 37 | cbdce906270510e5ac784a167b5866a7 | Hombre | 2014-09-01 | 2014-11-09 | PG-PAB | Si | |
| 135,734 | 2,018 | RIGO1**111987 | 1987-11-15 | 31 | cbf7ecde7c9ba6c3f49e8f12d6189a37 | NA | Hombre | 2018-03-01 | 2018-09-27 | PG-PAI | Si |
| 115,442 | 2,017 | RIGO1**081987 | 1987-08-15 | 32 | cbf7ecde7c9ba6c3f49e8f12d6189a37 | NA | Hombre | 2017-04-11 | 2017-09-28 | PG-PAB | Si |
| 101,049 | 2,016 | RIGO1**111987 | 1987-11-15 | 31 | cbf7ecde7c9ba6c3f49e8f12d6189a37 | Hombre | 2016-08-02 | 2016-12-28 | PG-PAB | Si | |
| 151,464 | 2,019 | CLSA2**111990 | 1990-11-09 | 29 | cc26c390f0833a95e52b75fac925dc77 | NA | Mujer | 2018-12-17 | 2019-03-14 | PG-PAI | Si |
| 40,928 | 2,013 | CLSA2**111990 | 1990-11-09 | 28 | cc26c390f0833a95e52b75fac925dc77 | Mujer | 2013-06-03 | 2013-08-01 | PG-PAB | Si | |
| 12,862 | 2,011 | CLSA2**111990 | 1990-11-09 | 28 | cc26c390f0833a95e52b75fac925dc77 | Mujer | 2010-12-15 | 2011-07-29 | PG-PAI | Si | |
| 100,324 | 2,016 | RIFR1**051984 | 1984-05-06 | 35 | cc354ad2bfe675170a4f82bf6946f32c | Hombre | 2016-07-13 | 2016-12-14 | PG-PAB | Si | |
| 24,299 | 2,012 | RIFR1**051983 | 1983-05-06 | 36 | cc354ad2bfe675170a4f82bf6946f32c | Hombre | 2011-12-26 | 2012-05-30 | PG-PAB | Si | |
| 14,841 | 2,011 | RIFR1**051984 | 1984-05-06 | 35 | cc354ad2bfe675170a4f82bf6946f32c | Hombre | 2011-02-16 | 2011-09-06 | PG-PAB | Si | |
| 152,634 | 2,019 | FEES1**111984 | 1984-11-09 | 35 | cc45f76979e09d66d6a84334ac42f5a8 | NA | Hombre | 2019-01-02 | 2019-06-18 | PG-PR | Si |
| 141,985 | 2,018 | FEES1**111984 | 1984-11-09 | 34 | cc45f76979e09d66d6a84334ac42f5a8 | NA | Hombre | 2018-09-05 | 2018-12-20 | PG-PR | Si |
| 53,176 | 2,014 | FEES1**111984 | 1984-11-09 | 34 | cc45f76979e09d66d6a84334ac42f5a8 | Hombre | 2013-12-02 | 2014-04-29 | PG-PAI | Si | |
| 156,768 | 2,019 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | NA | Hombre | 2019-05-07 | 2019-05-30 | PG-PR | Si |
| 133,006 | 2,018 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | NA | Hombre | 2018-01-10 | 2018-02-28 | PG-PR | Si |
| 122,141 | 2,017 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | NA | Hombre | 2017-09-04 | 2017-09-21 | PG-PR | Si |
| 98,708 | 2,016 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | Hombre | 2016-06-20 | 2016-09-01 | PG-PR | Si | |
| 73,125 | 2,015 | ISNU1**051986 | 1986-05-01 | 33 | cca84570b7b07cc037d49924c42aba0f | Hombre | 2015-02-26 | 2015-05-12 | PG-PAI | Si | |
| 14,470 | 2,011 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | Hombre | 2011-03-21 | 2011-04-20 | PG-PR | Si | |
| 13,137 | 2,011 | ISNU1**051989 | 1989-05-01 | 30 | cca84570b7b07cc037d49924c42aba0f | Hombre | 2011-01-19 | 2011-01-27 | PG-PR | Si | |
| 27,858 | 2,012 | CAPE2**051993 | 1993-05-14 | 26 | cce63de713ea416e5a7b2370df78562d | Mujer | 2012-05-14 | 2012-07-10 | PG-PAI | Si | |
| 18,905 | 2,011 | CAPE2**021985 | 1985-02-24 | 34 | cce63de713ea416e5a7b2370df78562d | Mujer | 2011-09-01 | 2012-01-02 | PG-PAI | Si | |
| 15,781 | 2,011 | CAPR2**121985 | 1985-12-24 | 33 | cce63de713ea416e5a7b2370df78562d | Mujer | 2011-05-11 | 2011-08-08 | M-PR | Si | |
| 57,185 | 2,014 | VERO2**111973 | 1973-11-11 | 45 | cd414d8ab858822b33eec363d60cb433 | Mujer | 2014-04-24 | 2014-06-26 | PG-PAB | Si | |
| 46,643 | 2,013 | VERO2**101973 | 1973-10-11 | 46 | cd414d8ab858822b33eec363d60cb433 | Mujer | 2013-11-20 | 2013-12-18 | PG-PAB | Si | |
| 18,478 | 2,011 | VERO2**101973 | 1973-10-11 | 46 | cd414d8ab858822b33eec363d60cb433 | Mujer | 2011-09-14 | 2011-12-30 | M-PAI | Si | |
| 118,408 | 2,017 | ERDU1**011967 | 1967-01-16 | 52 | cd5ab28ad842d4dd604ebf759cc4aebd | NA | Hombre | 2017-06-27 | 2017-07-18 | PG-PAB | Si |
| 115,299 | 2,017 | MAVI1**041991 | 1991-04-29 | 28 | cd5ab28ad842d4dd604ebf759cc4aebd | NA | Hombre | 2017-03-20 | 2017-05-23 | PG-PAB | Si |
| 108,133 | 2,017 | ERDU1**011967 | 1967-01-15 | 52 | cd5ab28ad842d4dd604ebf759cc4aebd | NA | Hombre | 2016-06-07 | 2017-01-31 | PG-PAI | Si |
| 95,798 | 2,016 | ERDU1**011996 | 1996-01-16 | 23 | cd5ab28ad842d4dd604ebf759cc4aebd | Hombre | 2016-04-11 | 2016-04-14 | PG-PAI | Si | |
| 133,172 | 2,018 | ROGA1**101978 | 1978-10-07 | 41 | cd6db53f70c6842af670d674f8879009 | NA | Hombre | 2018-01-02 | 2018-05-07 | PG-PR | Si |
| 120,192 | 2,017 | ROGA1**061978 | 1978-06-13 | 41 | cd6db53f70c6842af670d674f8879009 | NA | Hombre | 2017-07-21 | 2018-01-23 | PG-PR | Si |
| 108,591 | 2,017 | ROGA1**101978 | 1978-10-07 | 41 | cd6db53f70c6842af670d674f8879009 | NA | Hombre | 2016-08-02 | 2017-07-20 | PG-PAI | Si |
| 61,481 | 2,014 | ROGA1**101979 | 1979-10-07 | 40 | cd6db53f70c6842af670d674f8879009 | Hombre | 2014-08-27 | 2014-08-29 | PG-PAI | Si | |
| 157,235 | 2,019 | FAHE2**081998 | 1998-08-27 | 21 | cdc7be050c70fa45d447a6e79f36c725 | NA | Mujer | 2019-05-06 | NA | PG-PAB | Si |
| 13,653 | 2,011 | FAHE2**081988 | 1988-08-27 | 31 | cdc7be050c70fa45d447a6e79f36c725 | Mujer | 2010-11-17 | 2011-09-21 | PG-PAB | Si | |
| 122,834 | 2,017 | BAHE2**051993 | 1993-05-21 | 26 | cdd5f1393134a2e63f314c6b93071d9e | NA | Mujer | 2017-10-11 | 2018-01-26 | M-PR | Si |
| 116,827 | 2,017 | SEAN1**111998 | 1998-11-28 | 20 | cdd5f1393134a2e63f314c6b93071d9e | NA | Hombre | 2017-05-08 | 2017-05-30 | PG-PR | Si |
| 155,693 | 2,019 | JOFR1**121982 | 1982-12-23 | 36 | cdece01dcaf930271fc82eccf379ea79 | NA | Hombre | 2019-04-16 | 2019-06-25 | PG-PAI | Si |
| 89,726 | 2,016 | JOFR1**091982 | 1982-09-23 | 37 | cdece01dcaf930271fc82eccf379ea79 | Hombre | 2015-09-23 | 2016-06-02 | PG-PAB | Si | |
| 131,400 | 2,018 | CAMA1**061977 | 1977-06-16 | 42 | ce9a0a198cc207bb1ee799674dff5b9c | NA | Hombre | 2017-10-05 | 2018-12-29 | PG-PAB | Si |
| 15,561 | 2,011 | CAMA1**061967 | 1967-06-16 | 52 | ce9a0a198cc207bb1ee799674dff5b9c | Hombre | 2011-04-04 | 2011-09-27 | Otro | No | |
| 63,899 | 2,014 | ANSA2**041969 | 1969-04-04 | 50 | ced82efbb8c6ad7c25ad46b5b8d13eeb | Mujer | 2014-11-10 | 2014-12-05 | M-PR | No | |
| 3,435 | 2,010 | ANSA2**041961 | 1961-04-29 | 58 | ced82efbb8c6ad7c25ad46b5b8d13eeb | Mujer | 2010-02-23 | 2010-08-30 | PG-PAI | Si | |
| 124,894 | 2,017 | FRVA1**011999 | 1999-01-21 | 20 | cedffa0c8a4bc7aa31a5a5c89dfb04a3 | NA | Hombre | 2017-10-24 | 2018-01-26 | PG-PAB | Si |
| 52,051 | 2,014 | FRVA1**011981 | 1981-01-21 | 38 | cedffa0c8a4bc7aa31a5a5c89dfb04a3 | Hombre | 2013-11-04 | 2014-08-29 | PG-PAI | Si | |
| 23,975 | 2,012 | ANRA2**061981 | 1981-06-07 | 38 | cf6205d7d2be24b4d6d1ee87fce9b8f4 | Mujer | 2011-12-01 | 2012-04-09 | PG-PAB | Si | |
| 20,065 | 2,011 | ANRA2**111982 | 1982-11-17 | 36 | cf6205d7d2be24b4d6d1ee87fce9b8f4 | Mujer | 2011-11-01 | 2011-12-20 | PG-PAB | Si | |
| 160,423 | 2,019 | SEMO1**061996 | 1996-06-24 | 23 | cf89af03141142e2a61216539fd5a9aa | NA | Hombre | 2019-08-19 | 2019-08-29 | PG-PR | Si |
| 122,768 | 2,017 | SEMO1**061997 | 1997-06-24 | 22 | cf89af03141142e2a61216539fd5a9aa | NA | Hombre | 2017-10-03 | 2017-10-31 | PG-PR | Si |
| 114,921 | 2,017 | SEMO1**061996 | 1996-06-24 | 23 | cf89af03141142e2a61216539fd5a9aa | NA | Hombre | 2017-03-02 | 2017-10-02 | PG-PAI | Si |
| 12,015 | 2,011 | LUHO1**111991 | 1991-11-28 | 27 | cfb0fdf80e3ad6ea6b3739658b70984b | Hombre | 2010-12-01 | 2011-05-30 | PG-PAB | Si | |
| 677 | 2,010 | LUAR1**111975 | 1975-11-28 | 43 | cfb0fdf80e3ad6ea6b3739658b70984b | Hombre | 2010-01-19 | 2010-10-01 | PG-PR | Si | |
| 36,606 | 2,013 | MAVI1**031973 | 1973-03-24 | 46 | d082b31de5952d64336bd39c8337d452 | Hombre | 2013-01-31 | 2013-03-01 | PG-PR | Si | |
| 31,568 | 2,012 | MAVI1**031975 | 1975-03-24 | 44 | d082b31de5952d64336bd39c8337d452 | Hombre | 2012-11-20 | 2012-12-13 | PG-PR | Si | |
| 160,097 | 2,019 | CANU2**041975 | 1975-04-21 | 44 | d08a68c2f7966369db839d6a17f8bf30 | NA | Mujer | 2019-06-04 | NA | M-PAI | Si |
| 143,265 | 2,018 | CANU2**041975 | 1975-04-21 | 44 | d08a68c2f7966369db839d6a17f8bf30 | NA | Mujer | 2018-09-24 | 2018-12-20 | M-PAI | Si |
| 90,583 | 2,016 | CANU2**041975 | 1975-04-21 | 44 | d08a68c2f7966369db839d6a17f8bf30 | Mujer | 2015-09-28 | 2016-07-01 | M-PAI | Si | |
| 66,759 | 2,015 | CANU2**041976 | 1976-04-21 | 43 | d08a68c2f7966369db839d6a17f8bf30 | Mujer | 2014-04-01 | 2015-08-27 | M-PR | Si | |
| 53,568 | 2,014 | CANU2**041976 | 1976-04-21 | 43 | d08a68c2f7966369db839d6a17f8bf30 | Mujer | 2014-01-08 | 2014-03-31 | PG-PAB | Si | |
| 77,408 | 2,015 | JEAR1**091996 | 1996-09-28 | 23 | d09c6593c7eaae6a4cd4c07c7eea7982 | Hombre | 2015-05-27 | 2015-08-12 | PG-PAI | Si | |
| 76,076 | 2,015 | JEOR1**091986 | 1986-09-28 | 33 | d09c6593c7eaae6a4cd4c07c7eea7982 | Hombre | 2015-04-27 | 2015-06-02 | PG-PR | Si | |
| 73,881 | 2,015 | JEOR1**091986 | 1986-09-28 | 33 | d09c6593c7eaae6a4cd4c07c7eea7982 | Hombre | 2015-03-25 | 2015-05-01 | PG-PAI | Si | |
| 51,102 | 2,014 | JEAR1**091986 | 1986-09-28 | 33 | d09c6593c7eaae6a4cd4c07c7eea7982 | Hombre | 2013-10-14 | 2014-02-05 | PG-PR | Si | |
| 42,992 | 2,013 | JEAR1**091986 | 1986-09-28 | 33 | d09c6593c7eaae6a4cd4c07c7eea7982 | Hombre | 2013-08-05 | 2013-10-14 | PG-PAB | Si | |
| 95,531 | 2,016 | SEHE1**101981 | 1981-10-30 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2016-03-15 | 2016-09-30 | PG-PAI | Si | |
| 50,921 | 2,014 | SEHE1**101981 | 1981-10-31 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2013-09-04 | 2014-08-05 | PG-PR | Si | |
| 39,095 | 2,013 | SEHE1**101981 | 1981-10-30 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2013-04-03 | 2013-07-01 | PG-PAI | Si | |
| 34,934 | 2,013 | SEHE1**031992 | 1992-03-11 | 27 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2012-10-10 | 2013-04-08 | PG-PR | Si | |
| 29,941 | 2,012 | SEHE1**101981 | 1981-10-30 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2012-09-25 | 2012-10-09 | PG-PAI | Si | |
| 14,187 | 2,011 | SEHE1**101981 | 1981-10-30 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2011-02-25 | 2011-08-31 | PG-PAI | Si | |
| 8,900 | 2,010 | SEHE1**101981 | 1981-10-30 | 38 | d0ba7ad11d9bb1b1c84c30335ad76514 | Hombre | 2010-10-28 | 2011-03-10 | PG-PAB | Si | |
| 53,288 | 2,014 | FEGU1**021991 | 1991-02-24 | 28 | d0df996310c6623a4f693a2ad80982d8 | Hombre | 2014-01-06 | 2014-04-25 | PG-PR | Si | |
| 50,132 | 2,014 | FEGU1**021992 | 1992-02-24 | 27 | d0df996310c6623a4f693a2ad80982d8 | Hombre | 2013-08-13 | 2014-01-23 | PG-PAB | Si | |
| 38,524 | 2,013 | FEGU1**021992 | 1992-02-24 | 27 | d0df996310c6623a4f693a2ad80982d8 | Hombre | 2013-04-04 | 2013-07-04 | PG-PAB | Si | |
| 56,938 | 2,014 | NECI1**111973 | 1973-11-07 | 45 | d112d3e24f26abb18565ffc43bb983b7 | Hombre | 2014-03-28 | 2014-08-04 | PG-PAB | Si | |
| 6,517 | 2,010 | NECI1**111976 | 1976-11-07 | 42 | d112d3e24f26abb18565ffc43bb983b7 | Hombre | 2010-07-21 | 2010-08-10 | PG-PAI | Si | |
| 148,525 | 2,019 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | NA | Mujer | 2018-07-25 | NA | PG-PAI | Si |
| 127,828 | 2,018 | VACA2**041999 | 1999-04-08 | 20 | d119b05880ac5cab3eb8f62e6411352b | NA | Mujer | 2017-06-13 | 2018-06-01 | M-PR | Si |
| 115,378 | 2,017 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | NA | Mujer | 2017-04-03 | 2017-06-12 | M-PR | Si |
| 88,405 | 2,016 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2015-02-26 | 2016-05-26 | M-PAI | Si | |
| 76,583 | 2,015 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2015-04-16 | 2015-07-28 | PG-PAI | Si | |
| 61,264 | 2,014 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2014-08-25 | 2014-10-01 | M-PR | Si | |
| 57,233 | 2,014 | VACA2**051983 | 1983-05-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2014-04-24 | 2014-07-18 | M-PR | Si | |
| 53,855 | 2,014 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2014-01-17 | 2014-04-23 | PG-PAI | Si | |
| 3,814 | 2,010 | VACA2**041983 | 1983-04-08 | 36 | d119b05880ac5cab3eb8f62e6411352b | Mujer | 2009-10-22 | 2010-08-17 | PG-PAI | Si | |
| 53,557 | 2,014 | TALO2**071997 | 1997-07-16 | 22 | d14d41b605658fd11be460b113757228 | Mujer | 2014-01-02 | 2014-01-20 | M-PR | Si | |
| 44,431 | 2,013 | TALO2**071986 | 1986-07-15 | 33 | d14d41b605658fd11be460b113757228 | Mujer | 2013-09-02 | 2014-01-02 | PG-PAI | Si | |
| 37,218 | 2,013 | TALO2**071986 | 1986-07-15 | 33 | d14d41b605658fd11be460b113757228 | Mujer | 2013-02-21 | 2013-06-20 | PG-PAI | Si | |
| 36,936 | 2,013 | OSLI1**021968 | 1968-02-15 | 51 | d16861aebeecfb466c2673b94cec74d2 | Hombre | 2013-02-22 | 2013-07-26 | PG-PAB | No | |
| 7,408 | 2,010 | OSLI1**111968 | 1968-11-15 | 50 | d16861aebeecfb466c2673b94cec74d2 | Hombre | 2010-08-20 | 2011-02-18 | PG-PAB | Si | |
| 126,763 | 2,018 | JOPO1**111982 | 1982-11-11 | 36 | d237248cad8560709c8990ca2be1bcbe | NA | Hombre | 2017-02-18 | 2018-01-05 | PG-PR | Si |
| 113,034 | 2,017 | JOPO1**011999 | 1999-01-19 | 20 | d237248cad8560709c8990ca2be1bcbe | NA | Hombre | 2017-01-19 | 2017-02-17 | PG-PAI | Si |
| 123,245 | 2,017 | ANCO1**051959 | 1959-05-15 | 60 | d2470f8d8cf22926041d0d3eca9c467f | NA | Hombre | 2017-10-23 | 2018-01-23 | PG-PAB | Si |
| 91,380 | 2,016 | ANCO1**051958 | 1958-05-15 | 61 | d2470f8d8cf22926041d0d3eca9c467f | Hombre | 2015-04-07 | 2017-01-26 | PG-PAB | Si | |
| 117,656 | 2,017 | FECH1**101992 | 1992-10-07 | 27 | d24c6832e804420e654002757b30828e | NA | Hombre | 2017-05-09 | 2017-10-16 | PG-PR | No |
| 115,123 | 2,017 | FECH1**081992 | 1992-08-07 | 27 | d24c6832e804420e654002757b30828e | NA | Hombre | 2017-03-29 | 2017-05-08 | PG-PAI | No |
| 113,909 | 2,017 | FECH1**101993 | 1993-10-09 | 26 | d24c6832e804420e654002757b30828e | NA | Hombre | 2017-03-01 | 2017-03-28 | PG-PAB | Si |
| 52,815 | 2,014 | FECH1**101992 | 1992-10-07 | 27 | d24c6832e804420e654002757b30828e | Hombre | 2013-12-19 | 2014-07-24 | PG-PAB | Si | |
| 70,946 | 2,015 | MIMA2**061977 | 1977-06-23 | 42 | d258a3505d5917c97278415897134ca0 | Mujer | 2014-12-09 | 2015-03-02 | PG-PAB | Si | |
| 59,108 | 2,014 | MIMA2**061979 | 1979-06-23 | 40 | d258a3505d5917c97278415897134ca0 | Mujer | 2014-06-09 | 2014-10-24 | M-PR | Si | |
| 58,228 | 2,014 | MIMA2**061977 | 1977-06-23 | 42 | d258a3505d5917c97278415897134ca0 | Mujer | 2014-05-09 | 2014-06-09 | PG-PAB | Si | |
| 41,864 | 2,013 | MIMA2**061977 | 1977-06-23 | 42 | d258a3505d5917c97278415897134ca0 | Mujer | 2013-07-08 | 2013-09-02 | PG-PAB | Si | |
| 148,046 | 2,019 | JAGO1**111963 | 1963-11-19 | 55 | d26f177415acea6eba9443779d0d8ace | NA | Hombre | 2018-05-25 | 2019-01-31 | PG-PAB | Si |
| 110,719 | 2,017 | JAGO1**111996 | 1996-11-19 | 22 | d26f177415acea6eba9443779d0d8ace | NA | Hombre | 2016-11-02 | 2017-04-03 | PG-PAI | Si |
| 128,009 | 2,018 | FRCE1**061999 | 1999-06-01 | 20 | d2a36442bf2d249e4ac09306bd913b05 | NA | Hombre | 2017-06-01 | 2018-09-28 | PG-PAB | Si |
| 57,649 | 2,014 | FRCA1**061985 | 1985-06-22 | 34 | d2a36442bf2d249e4ac09306bd913b05 | Hombre | 2014-05-16 | 2014-08-01 | PG-PAI | Si | |
| 95,198 | 2,016 | JACA1**081988 | 1988-08-22 | 31 | d2b17141c68424beb4cd4aab59d0bcb5 | Hombre | 2016-03-15 | 2016-11-25 | PG-PR | No | |
| 54,565 | 2,014 | JACA1**051981 | 1981-05-01 | 38 | d2b17141c68424beb4cd4aab59d0bcb5 | Hombre | 2014-02-18 | 2014-05-07 | PG-PR | Si | |
| 37,936 | 2,013 | JACA1**081988 | 1988-08-22 | 31 | d2b17141c68424beb4cd4aab59d0bcb5 | Hombre | 2013-01-24 | 2013-06-28 | PG-PAI | Si | |
| 32,589 | 2,013 | JACA1**091988 | 1988-09-09 | 31 | d2b17141c68424beb4cd4aab59d0bcb5 | Hombre | 2012-01-24 | 2013-02-28 | PG-PAB | Si | |
| 106,280 | 2,017 | EDCA1**041985 | 1985-04-06 | 34 | d396e22b9f4e5385fa9df66d059d00d7 | NA | Hombre | 2016-01-01 | 2017-11-27 | PG-PAI | Si |
| 70,776 | 2,015 | EDCA1**041984 | 1984-04-06 | 35 | d396e22b9f4e5385fa9df66d059d00d7 | Hombre | 2014-12-03 | 2015-09-09 | PG-PAI | Si | |
| 55,779 | 2,014 | ROMA1**121996 | 1996-12-03 | 22 | d3ba1c1378c2fa5f9e43e5167e839e08 | Hombre | 2014-03-20 | 2014-11-12 | PG-PR | Si | |
| 53,384 | 2,014 | ROMA1**111976 | 1976-11-03 | 43 | d3ba1c1378c2fa5f9e43e5167e839e08 | Hombre | 2014-01-23 | 2014-03-27 | PG-PAB | Si | |
| 158,059 | 2,019 | VIRA1**111988 | 1988-11-06 | 31 | d3c395f37e58c628b5bd3dfb86f6252f | NA | Hombre | 2019-05-02 | NA | PG-PAB | Si |
| 126,630 | 2,018 | VIRA1**111988 | 1988-11-06 | 30 | d3c395f37e58c628b5bd3dfb86f6252f | NA | Hombre | 2016-12-22 | 2018-08-30 | PG-PAB | Si |
| 11,473 | 2,011 | MAPE1**021979 | 1979-02-09 | 40 | d3d3418c00b50037ae509267e0924144 | Hombre | 2010-07-01 | 2011-01-13 | PG-PAI | Si | |
| 6,279 | 2,010 | MAPE1**021975 | 1975-02-09 | 44 | d3d3418c00b50037ae509267e0924144 | Hombre | 2010-06-24 | 2010-08-31 | PG-PAB | Si | |
| 23,705 | 2,012 | RUGO1**021981 | 1981-02-12 | 38 | d42020889c737bf8a1adf308d83351c6 | Hombre | 2011-08-16 | 2012-10-01 | PG-PAI | Si | |
| 17,047 | 2,011 | RUGO1**021992 | 1992-02-12 | 27 | d42020889c737bf8a1adf308d83351c6 | Hombre | 2011-06-01 | 2011-09-08 | PG-PAI | Si | |
| 158,559 | 2,019 | MAFU2**091989 | 1989-09-12 | 30 | d429e8367e1d87f64607bd5717a2db0f | NA | Mujer | 2019-06-10 | 2019-08-14 | PG-PAI | Si |
| 74,043 | 2,015 | MAFU2**091988 | 1988-09-12 | 31 | d429e8367e1d87f64607bd5717a2db0f | Mujer | 2015-03-25 | 2015-10-12 | M-PR | Si | |
| 71,791 | 2,015 | MAFU2**091989 | 1989-09-12 | 30 | d429e8367e1d87f64607bd5717a2db0f | Mujer | 2015-01-21 | 2015-03-24 | PG-PAI | Si | |
| 26,371 | 2,012 | MAFU2**091989 | 1989-09-12 | 30 | d429e8367e1d87f64607bd5717a2db0f | Mujer | 2012-04-17 | 2012-10-30 | PG-PAB | Si | |
| 2,947 | 2,010 | MAFU2**091989 | 1989-09-12 | 30 | d429e8367e1d87f64607bd5717a2db0f | Mujer | 2010-01-26 | 2010-04-06 | PG-PAB | Si | |
| 161,815 | 2,019 | LEOB2**081998 | 1998-08-13 | 21 | d4c2bd1bbd3f4f28c9690a00a5313b55 | NA | Mujer | 2019-07-01 | NA | M-PAI | Si |
| 129,348 | 2,018 | LEOB2**081988 | 1988-08-13 | 31 | d4c2bd1bbd3f4f28c9690a00a5313b55 | NA | Mujer | 2017-08-23 | 2018-06-04 | M-PAI | Si |
| 156,425 | 2,019 | JUAR1**041970 | 1970-04-18 | 49 | d5047b591988e003b08c8b3a41296614 | NA | Hombre | 2019-04-01 | NA | PG-PAI | Si |
| 137,338 | 2,018 | JUAR1**041970 | 1970-04-18 | 49 | d5047b591988e003b08c8b3a41296614 | NA | Hombre | 2018-05-17 | 2018-09-28 | PG-PR | Si |
| 131,248 | 2,018 | JUAR1**041970 | 1970-04-18 | 49 | d5047b591988e003b08c8b3a41296614 | NA | Hombre | 2017-11-03 | 2018-05-16 | PG-PAI | Si |
| 114,782 | 2,017 | JUAR1**041976 | 1976-04-18 | 43 | d5047b591988e003b08c8b3a41296614 | NA | Hombre | 2017-03-01 | 2017-10-18 | PG-PAI | Si |
| 84,644 | 2,015 | JUAR1**041970 | 1970-04-18 | 49 | d5047b591988e003b08c8b3a41296614 | Hombre | 2015-11-26 | 2016-02-17 | PG-PAB | Si | |
| 75,203 | 2,015 | JUAR1**041970 | 1970-04-18 | 49 | d5047b591988e003b08c8b3a41296614 | Hombre | 2015-04-21 | 2015-11-14 | PG-PR | Si | |
| 146,293 | 2,019 | CRAL1**091973 | 1973-09-02 | 46 | d5516db8fbe11278d21f34dd53192ea3 | NA | Hombre | 2017-11-06 | 2019-10-29 | PG-PAB | Si |
| 112,629 | 2,017 | CRAL1**091972 | 1972-09-02 | 47 | d5516db8fbe11278d21f34dd53192ea3 | NA | Hombre | 2017-02-02 | 2017-07-01 | PG-PAI | Si |
| 52,902 | 2,014 | CHAL1**091973 | 1973-09-02 | 46 | d5516db8fbe11278d21f34dd53192ea3 | Hombre | 2013-12-02 | 2014-05-29 | PG-PAI | Si | |
| 146,948 | 2,019 | OSMO1**071960 | 1960-07-03 | 59 | d571b0933b03d4bc27db49d9a86d830e | NA | Hombre | 2018-03-01 | 2019-06-05 | PG-PAB | Si |
| 107,849 | 2,017 | OSMO1**071960 | 1960-07-03 | 59 | d571b0933b03d4bc27db49d9a86d830e | NA | Hombre | 2016-04-14 | 2017-11-28 | PG-PAI | Si |
| 69,883 | 2,015 | OSMO1**101950 | 1950-10-22 | 69 | d571b0933b03d4bc27db49d9a86d830e | Hombre | 2014-11-04 | 2015-08-14 | PG-PR | Si | |
| 147,552 | 2,019 | NIDI2**011992 | 1992-01-23 | 27 | d57798a64881e2b75b9d7b3ae36017fd | NA | Mujer | 2018-05-17 | 2019-03-04 | M-PAI | Si |
| 129,933 | 2,018 | NIDI2**011991 | 1991-01-23 | 28 | d57798a64881e2b75b9d7b3ae36017fd | NA | Mujer | 2017-09-04 | 2018-05-02 | M-PR | Si |
| 55,697 | 2,014 | GOSA1**061988 | 1988-06-09 | 31 | d5a42c80fcb5e14758812be8d136ca22 | Hombre | 2014-03-24 | 2014-05-27 | PG-PAI | Si | |
| 45,644 | 2,013 | GOSA1**061998 | 1998-06-09 | 21 | d5a42c80fcb5e14758812be8d136ca22 | Hombre | 2013-10-03 | 2014-01-15 | Otro | No | |
| 12,183 | 2,011 | GOSA1**061988 | 1988-06-09 | 31 | d5a42c80fcb5e14758812be8d136ca22 | Hombre | 2010-11-18 | 2011-01-31 | PG-PAI | Si | |
| 62,764 | 2,014 | ALVA1**031994 | 1994-03-03 | 25 | d6143d207664211d35b47a053278b8f9 | Hombre | 2014-10-01 | 2014-12-17 | PG-PAI | Si | |
| 54,749 | 2,014 | ALVA1**031993 | 1993-03-06 | 26 | d6143d207664211d35b47a053278b8f9 | Hombre | 2014-02-03 | 2014-07-09 | PG-PAI | Si | |
| 90,344 | 2,016 | PAVA2**091950 | 1950-09-28 | 69 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2015-10-19 | 2016-05-02 | M-PR | Si | |
| 72,245 | 2,015 | PAVA2**041950 | 1950-04-28 | 69 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2014-12-19 | 2015-04-22 | M-PR | Si | |
| 61,472 | 2,014 | PAVA2**041950 | 1950-04-28 | 69 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2014-08-18 | 2014-08-28 | M-PR | Si | |
| 54,692 | 2,014 | PAVA2**041950 | 1950-04-22 | 69 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2014-02-10 | 2014-08-15 | M-PAI | Si | |
| 52,819 | 2,014 | PAVA2**041950 | 1950-04-28 | 69 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2013-12-17 | 2014-01-22 | M-PR | Si | |
| 37,527 | 2,013 | PAVA2**031994 | 1994-03-01 | 25 | d61542e0c28a5863dd53ed04db1370af | Mujer | 2013-03-01 | 2013-12-16 | M-PAI | Si | |
| 152,132 | 2,019 | CAFL2**111981 | 1981-11-08 | 38 | d6244688fdb01a2e632b2179c3f325e8 | NA | Mujer | 2019-01-14 | 2019-08-01 | PG-PR | No |
| 89,743 | 2,016 | CAFL2**111981 | 1981-11-08 | 37 | d6244688fdb01a2e632b2179c3f325e8 | Mujer | 2015-09-30 | 2016-12-20 | PG-PR | Si | |
| 72,495 | 2,015 | CAFL2**111981 | 1981-11-08 | 37 | d6244688fdb01a2e632b2179c3f325e8 | Mujer | 2014-12-01 | 2015-08-31 | PG-PAI | Si | |
| 62,774 | 2,014 | CAFL2**111981 | 1981-11-08 | 37 | d6244688fdb01a2e632b2179c3f325e8 | Mujer | 2014-09-29 | 2014-10-22 | PG-PAB | Si | |
| 138,944 | 2,018 | ALRO1**101987 | 1987-10-10 | 32 | d650de3388b733a5f968aa8b4e34bc89 | NA | Hombre | 2018-06-05 | 2018-07-03 | PG-PAI | Si |
| 117,905 | 2,017 | ALRO1**101987 | 1987-10-10 | 32 | d650de3388b733a5f968aa8b4e34bc89 | NA | Hombre | 2017-06-01 | 2017-09-29 | PG-PAB | No |
| 71,152 | 2,015 | ALRO1**101987 | 1987-10-10 | 32 | d650de3388b733a5f968aa8b4e34bc89 | Hombre | 2015-01-06 | 2015-04-01 | PG-PAI | Si | |
| 61,659 | 2,014 | ALRO1**101987 | 1987-10-10 | 32 | d650de3388b733a5f968aa8b4e34bc89 | Hombre | 2014-08-06 | 2014-11-03 | PG-PAI | Si | |
| 49,654 | 2,014 | ALRO1**101987 | 1987-10-10 | 32 | d650de3388b733a5f968aa8b4e34bc89 | Hombre | 2013-06-27 | 2014-07-17 | PG-PAB | Si | |
| 17,209 | 2,011 | ALRO1**111987 | 1987-11-10 | 31 | d650de3388b733a5f968aa8b4e34bc89 | Hombre | 2011-06-28 | 2011-09-23 | PG-PAI | Si | |
| 35,783 | 2,013 | CAPI2**091969 | 1969-09-16 | 50 | d67705c8b038cfa31183c40da092d18a | Mujer | 2013-01-03 | 2013-07-29 | PG-PAB | Si | |
| 2,325 | 2,010 | CAPI2**091959 | 1959-09-16 | 60 | d67705c8b038cfa31183c40da092d18a | Mujer | 2009-11-02 | 2010-05-06 | PG-PAI | Si | |
| 160,530 | 2,019 | ISTO1**121966 | 1966-12-23 | 52 | d6ff3cf5d526fec02e0c96a1697fbbf4 | NA | Hombre | 2019-08-05 | NA | PG-PAB | Si |
| 94,816 | 2,016 | ISTO1**031966 | 1966-03-23 | 53 | d6ff3cf5d526fec02e0c96a1697fbbf4 | Hombre | 2016-03-23 | 2016-09-01 | PG-PAB | Si | |
| 49,981 | 2,014 | ISTO1**121966 | 1966-12-23 | 52 | d6ff3cf5d526fec02e0c96a1697fbbf4 | Hombre | 2013-07-05 | 2015-01-02 | PG-PAI | Si | |
| 33,881 | 2,013 | ISTO1**121965 | 1965-12-23 | 53 | d6ff3cf5d526fec02e0c96a1697fbbf4 | Hombre | 2012-08-20 | 2013-04-02 | PG-PAI | Si | |
| 10,134 | 2,011 | ISTO1**121966 | 1966-12-23 | 52 | d6ff3cf5d526fec02e0c96a1697fbbf4 | Hombre | 2010-02-09 | 2011-02-28 | PG-PAB | Si | |
| 27,568 | 2,012 | MEBE2**061993 | 1993-06-25 | 26 | d7645a5367deb0c4a938c868764bb77b | Mujer | 2012-06-25 | 2012-08-03 | M-PR | Si | |
| 23,716 | 2,012 | MEBE2**041959 | 1959-04-02 | 60 | d7645a5367deb0c4a938c868764bb77b | Mujer | 2012-01-09 | 2012-05-21 | M-PR | Si | |
| 6,172 | 2,010 | MEBE2**041959 | 1959-04-02 | 60 | d7645a5367deb0c4a938c868764bb77b | Mujer | 2010-06-07 | 2010-11-15 | PG-PR | Si | |
| 5,695 | 2,010 | MEBE2**041959 | 1959-04-02 | 60 | d7645a5367deb0c4a938c868764bb77b | Mujer | 2010-02-16 | 2010-05-24 | M-PR | Si | |
| 122,180 | 2,017 | MARO2**121989 | 1989-12-16 | 29 | d79aed203c0e7a40bd870949a6d365a7 | NA | Mujer | 2017-08-25 | 2017-11-01 | PG-PAI | Si |
| 85,120 | 2,015 | MARO1**091989 | 1989-09-16 | 30 | d79aed203c0e7a40bd870949a6d365a7 | Hombre | 2015-11-03 | 2015-12-14 | PG-PAI | Si | |
| 80,132 | 2,015 | MARO2**121989 | 1989-12-16 | 29 | d79aed203c0e7a40bd870949a6d365a7 | Mujer | 2015-08-07 | 2015-12-07 | PG-PAB | Si | |
| 148,117 | 2,019 | KARA2**111978 | 1978-11-09 | 41 | d7c73e9a21db78dd1b6a6bd4be3dd28b | NA | Mujer | 2018-06-28 | 2019-07-23 | M-PAI | Si |
| 28,503 | 2,012 | KARA2**111978 | 1978-11-09 | 40 | d7c73e9a21db78dd1b6a6bd4be3dd28b | Mujer | 2012-07-02 | 2012-11-01 | PG-PAB | Si | |
| 13,782 | 2,011 | KARA2**111978 | 1978-11-09 | 40 | d7c73e9a21db78dd1b6a6bd4be3dd28b | Mujer | 2011-02-07 | 2011-05-06 | M-PR | Si | |
| 23,375 | 2,012 | SEZA1**121971 | 1971-12-20 | 47 | d7c8d4af2c03d876ff7596675923ac2c | Hombre | 2011-12-02 | 2012-01-02 | PG-PR | Si | |
| 6,692 | 2,010 | SEZA1**101971 | 1971-10-20 | 48 | d7c8d4af2c03d876ff7596675923ac2c | Hombre | 2010-07-26 | 2010-12-06 | PG-PR | Si | |
| 71,237 | 2,015 | ALCA1**031987 | 1987-03-03 | 32 | d7d47478880bae087f8efd1c2f91d2da | Hombre | 2015-01-05 | 2015-07-01 | PG-PAI | Si | |
| 59,337 | 2,014 | ALCA1**031987 | 1987-03-03 | 32 | d7d47478880bae087f8efd1c2f91d2da | Hombre | 2014-06-23 | 2014-11-03 | PG-PAI | Si | |
| 33,762 | 2,013 | ALCA1**081993 | 1993-08-03 | 26 | d7d47478880bae087f8efd1c2f91d2da | Hombre | 2012-08-13 | 2013-06-03 | PG-PAI | Si | |
| 96,504 | 2,016 | MISE1**031981 | 1981-03-09 | 38 | d7d7b3a0480ad241e586537d007a5a96 | Hombre | 2016-04-04 | 2016-06-06 | PG-PAI | Si | |
| 19,129 | 2,011 | MISE1**101992 | 1992-10-17 | 27 | d7d7b3a0480ad241e586537d007a5a96 | Hombre | 2011-10-17 | 2011-11-30 | PG-PAI | Si | |
| 147,306 | 2,019 | MAPA1**051968 | 1968-05-10 | 51 | d847c30833e9bd64e71af0601374c735 | NA | Hombre | 2018-04-09 | 2019-05-31 | PG-PAB | Si |
| 131,880 | 2,018 | MAPA1**121988 | 1988-12-10 | 30 | d847c30833e9bd64e71af0601374c735 | NA | Hombre | 2017-12-04 | 2018-01-02 | PG-PR | Si |
| 155,459 | 2,019 | HEBA1**021958 | 1958-02-03 | 61 | d86ae086b8807038cab1b1cbdd19914b | NA | Hombre | 2019-01-03 | NA | PG-PAI | Si |
| 3,185 | 2,010 | HEBA1**121958 | 1958-12-02 | 60 | d86ae086b8807038cab1b1cbdd19914b | Hombre | 2007-10-24 | 2010-01-28 | PG-PAB | Si | |
| 139,038 | 2,018 | FRFA1**071987 | 1987-07-10 | 32 | d892e8ce80db54e5c5ff500b0a954565 | NA | Hombre | 2018-06-26 | 2018-12-28 | PG-PAI | Si |
| 131,183 | 2,018 | FRFA1**061987 | 1987-06-10 | 32 | d892e8ce80db54e5c5ff500b0a954565 | NA | Hombre | 2017-11-01 | 2018-03-29 | PG-PAI | Si |
| 122,674 | 2,017 | FRFA1**071981 | 1981-07-10 | 38 | d892e8ce80db54e5c5ff500b0a954565 | NA | Hombre | 2017-09-07 | 2017-09-22 | PG-PAI | Si |
| 147,526 | 2,019 | CLPE1**111976 | 1976-11-06 | 43 | d89c6c1dcd46416fd48667a77ab76d95 | NA | Hombre | 2018-05-22 | 2019-02-28 | PG-PAI | Si |
| 5,691 | 2,010 | CLPE1**111976 | 1976-11-26 | 42 | d89c6c1dcd46416fd48667a77ab76d95 | Hombre | 2010-05-03 | 2010-10-29 | PG-PAB | Si | |
| 44,600 | 2,013 | VACI2**101991 | 1991-10-18 | 28 | d8b0832779fb7e3ad0af2382f5c00a46 | Mujer | 2013-09-24 | 2013-10-07 | M-PR | Si | |
| 36,318 | 2,013 | VACI2**101991 | 1991-10-18 | 28 | d8b0832779fb7e3ad0af2382f5c00a46 | Mujer | 2013-01-01 | 2013-04-01 | PG-PAI | Si | |
| 31,518 | 2,012 | VACI2**111991 | 1991-11-18 | 27 | d8b0832779fb7e3ad0af2382f5c00a46 | Mujer | 2012-10-30 | 2012-12-31 | PG-PAI | No | |
| 14,795 | 2,011 | TACA2**031961 | 1961-03-04 | 58 | d8bfa2d7adb3ce4d2991c329035e4725 | Mujer | 2011-03-03 | 2011-07-14 | PG-PAB | Si | |
| 5,610 | 2,010 | TACA2**031991 | 1991-03-24 | 28 | d8bfa2d7adb3ce4d2991c329035e4725 | Mujer | 2010-05-03 | 2010-10-18 | PG-PAB | Si | |
| 98,165 | 2,016 | MESO2**071995 | 1995-07-14 | 24 | d8dcf8042b0ec8e7c75a18a29d9195fb | Mujer | 2016-06-15 | 2016-08-23 | PG-PAB | Si | |
| 94,500 | 2,016 | MESO2**071991 | 1991-07-14 | 28 | d8dcf8042b0ec8e7c75a18a29d9195fb | Mujer | 2016-03-08 | 2016-04-28 | PG-PAI | Si | |
| 73,956 | 2,015 | MESO2**071991 | 1991-07-14 | 28 | d8dcf8042b0ec8e7c75a18a29d9195fb | Mujer | 2015-03-16 | 2015-07-30 | PG-PAI | Si | |
| 40,567 | 2,013 | CAMU2**041994 | 1994-04-28 | 25 | d8e7802b9d5c59a4771e36f93c21ea9c | Mujer | 2013-06-03 | 2013-07-31 | M-PR | Si | |
| 31,686 | 2,012 | CAMU2**041993 | 1993-04-28 | 26 | d8e7802b9d5c59a4771e36f93c21ea9c | Mujer | 2012-12-03 | 2013-02-07 | M-PR | Si | |
| 152,939 | 2,019 | JOSA1**111976 | 1976-11-10 | 43 | d940a65cb50377638c856df54b088396 | NA | Hombre | 2019-01-07 | 2019-03-31 | PG-PR | Si |
| 138,579 | 2,018 | JOSA1**111976 | 1976-11-10 | 42 | d940a65cb50377638c856df54b088396 | NA | Hombre | 2018-05-07 | 2018-10-01 | PG-PAI | Si |
| 105,827 | 2,017 | JOSA1**111976 | 1976-11-10 | 42 | d940a65cb50377638c856df54b088396 | NA | Hombre | 2015-08-25 | 2017-09-01 | PG-PAI | Si |
| 69,050 | 2,015 | CIAN2**071986 | 1986-07-10 | 33 | d94d11382dead58c7d5a6bfaf82d4a17 | Mujer | 2014-10-10 | 2015-02-20 | M-PR | Si | |
| 21,944 | 2,012 | CIAN2**071969 | 1969-07-10 | 50 | d94d11382dead58c7d5a6bfaf82d4a17 | Mujer | 2011-08-24 | 2012-03-01 | M-PR | Si | |
| 88,329 | 2,016 | MAMO1**121972 | 1972-12-07 | 46 | d9b39940c11bc0a0e4184b007e975f12 | Hombre | 2015-04-07 | 2016-05-30 | PG-PAI | Si | |
| 28,086 | 2,012 | MAMO1**121972 | 1972-12-07 | 46 | d9b39940c11bc0a0e4184b007e975f12 | Hombre | 2012-06-04 | 2012-07-31 | PG-PR | Si | |
| 23,556 | 2,012 | MAMO1**121972 | 1972-12-07 | 46 | d9b39940c11bc0a0e4184b007e975f12 | Hombre | 2011-12-19 | 2012-05-31 | PG-PAI | Si | |
| 4,664 | 2,010 | MAMO1**121990 | 1990-12-07 | 28 | d9b39940c11bc0a0e4184b007e975f12 | Hombre | 2010-04-06 | 2010-10-11 | PG-PAI | Si | |
| 160,922 | 2,019 | FRTA1**121976 | 1976-12-05 | 42 | d9cdc87e89b0ff3d3445cdeb628475b1 | NA | Hombre | 2019-08-20 | NA | PG-PAI | Si |
| 140,861 | 2,018 | FRTA1**121976 | 1976-12-05 | 42 | d9cdc87e89b0ff3d3445cdeb628475b1 | NA | Hombre | 2018-08-17 | 2018-10-04 | PG-PR | Si |
| 139,309 | 2,018 | FRTA1**121976 | 1976-12-05 | 42 | d9cdc87e89b0ff3d3445cdeb628475b1 | NA | Hombre | 2018-06-18 | 2018-08-16 | PG-PAI | Si |
| 116,557 | 2,017 | FRTA1**121976 | 1976-12-05 | 42 | d9cdc87e89b0ff3d3445cdeb628475b1 | NA | Hombre | 2017-04-20 | 2017-09-21 | PG-PAI | Si |
| 66,077 | 2,015 | FRTA1**121975 | 1975-12-05 | 43 | d9cdc87e89b0ff3d3445cdeb628475b1 | Hombre | 2013-11-21 | 2015-01-15 | PG-PR | Si | |
| 25,644 | 2,012 | FRTA1**121976 | 1976-12-05 | 42 | d9cdc87e89b0ff3d3445cdeb628475b1 | Hombre | 2012-03-20 | 2012-12-19 | PG-PAI | Si | |
| 119,460 | 2,017 | ERVA1**081968 | 1968-08-12 | 51 | d9e020a08875ef763ce0c3e06cbf1b9d | NA | Hombre | 2017-07-06 | 2017-10-23 | PG-PAB | Si |
| 108,082 | 2,017 | ERVA1**081995 | 1995-08-12 | 24 | d9e020a08875ef763ce0c3e06cbf1b9d | NA | Hombre | 2016-07-04 | 2017-03-23 | PG-PAB | Si |
| 53,438 | 2,014 | FRCA1**101981 | 1981-10-15 | 38 | da07b1a5c2ca22c16145c6b1345698cd | Hombre | 2014-01-23 | 2014-02-04 | PG-PAI | Si | |
| 28,902 | 2,012 | FRCA1**121981 | 1981-12-09 | 37 | da07b1a5c2ca22c16145c6b1345698cd | Hombre | 2012-07-31 | 2012-08-31 | PG-PAI | Si | |
| 162,605 | 2,019 | MAVA1**081985 | 1985-08-30 | 34 | dac96345a3ecb51c2d84132906b0cb9e | NA | Hombre | 2019-10-01 | NA | PG-PR | Si |
| 130,718 | 2,018 | MAVA1**081985 | 1985-08-30 | 34 | dac96345a3ecb51c2d84132906b0cb9e | NA | Hombre | 2017-11-01 | 2018-08-20 | PG-PR | Si |
| 119,197 | 2,017 | MAVA1**081995 | 1995-08-30 | 24 | dac96345a3ecb51c2d84132906b0cb9e | NA | Hombre | 2017-07-13 | 2017-10-31 | PG-PAI | Si |
| 130,115 | 2,018 | MACA2**121997 | 1997-12-21 | 21 | dadda6ce75320bfcdb2be564d42e9e3d | NA | Mujer | 2017-10-06 | 2018-03-20 | PG-PAI | Si |
| 114,593 | 2,017 | MACA2**031996 | 1996-03-21 | 23 | dadda6ce75320bfcdb2be564d42e9e3d | NA | Mujer | 2017-02-08 | 2017-03-01 | M-PR | Si |
| 155,891 | 2,019 | ANRE2**111985 | 1985-11-07 | 34 | db0d72d2e2133cf8da0eda0ac5507c55 | NA | Mujer | 2019-04-01 | 2019-09-02 | PG-PAI | Si |
| 59,642 | 2,014 | ANRE2**111985 | 1985-11-07 | 33 | db0d72d2e2133cf8da0eda0ac5507c55 | Mujer | 2014-06-24 | 2014-09-30 | PG-PAI | Si | |
| 128,299 | 2,018 | JASA1**041987 | 1987-04-02 | 32 | db99336ec846bddb105ae2644823187f | NA | Hombre | 2017-06-15 | 2018-01-23 | PG-PAB | Si |
| 79,787 | 2,015 | JASA1**041985 | 1985-04-02 | 34 | db99336ec846bddb105ae2644823187f | Hombre | 2015-07-15 | 2015-08-01 | PG-PR | Si | |
| 75,737 | 2,015 | JASA1**041987 | 1987-04-02 | 32 | db99336ec846bddb105ae2644823187f | Hombre | 2015-04-13 | 2015-07-15 | PG-PAI | Si | |
| 135,955 | 2,018 | VISA1**071967 | 1967-07-20 | 52 | dbc33e4180198bdb0fddeba6410b2f8c | NA | Hombre | 2018-03-26 | 2018-08-27 | PG-PAI | Si |
| 118,125 | 2,017 | VISA1**071967 | 1967-07-20 | 52 | dbc33e4180198bdb0fddeba6410b2f8c | NA | Hombre | 2017-04-10 | 2017-10-23 | PG-PAI | Si |
| 29,095 | 2,012 | VISA1**071967 | 1967-07-20 | 52 | dbc33e4180198bdb0fddeba6410b2f8c | Hombre | 2012-07-18 | 2012-09-26 | PG-PAI | Si | |
| 15,013 | 2,011 | VISA1**061968 | 1968-06-20 | 51 | dbc33e4180198bdb0fddeba6410b2f8c | Hombre | 2011-04-14 | 2011-08-04 | PG-PAI | Si | |
| 148,382 | 2,019 | ANCO2**111965 | 1965-11-10 | 54 | dbc662581d7865ef55dacd15913f3ccc | NA | Mujer | 2018-03-15 | NA | PG-PAI | Si |
| 6,306 | 2,010 | ANCO2**111965 | 1965-11-10 | 53 | dbc662581d7865ef55dacd15913f3ccc | Mujer | 2010-06-23 | 2010-11-29 | M-PR | Si | |
| 91,553 | 2,016 | FEMO1**121985 | 1985-12-04 | 33 | dbe51ee188afdd3230182e4fc413c1d9 | Hombre | 2015-12-04 | 2016-01-12 | PG-PAB | Si | |
| 66,462 | 2,015 | FEMO1**041985 | 1985-04-29 | 34 | dbe51ee188afdd3230182e4fc413c1d9 | Hombre | 2014-02-14 | 2015-02-28 | PG-PAB | Si | |
| 37,853 | 2,013 | JUSA1**061974 | 1974-06-16 | 45 | dbef232c4fcd87d69c7fa2ceb250add1 | Hombre | 2013-01-24 | 2013-07-25 | PG-PAI | Si | |
| 8,342 | 2,010 | JUSA1**061991 | 1991-06-16 | 28 | dbef232c4fcd87d69c7fa2ceb250add1 | Hombre | 2010-10-08 | 2010-12-31 | PG-PAI | Si | |
| 132,651 | 2,018 | BERE2**051984 | 1984-05-24 | 35 | dc11173e8fcc40895a625ffdd81faf7a | NA | Mujer | 2018-01-04 | 2018-12-20 | M-PR | Si |
| 107,832 | 2,017 | BERE2**051985 | 1985-05-24 | 34 | dc11173e8fcc40895a625ffdd81faf7a | NA | Mujer | 2016-06-08 | 2017-06-16 | PG-PAI | Si |
| 64,838 | 2,014 | JABA1**091963 | 1963-09-25 | 56 | dc3448fe50069fb38873ecb63a506724 | Hombre | 2014-11-24 | 2014-12-23 | PG-PAI | Si | |
| 18,364 | 2,011 | JABA1**011965 | 1965-01-28 | 54 | dc3448fe50069fb38873ecb63a506724 | Hombre | 2011-08-22 | 2012-02-01 | PG-PAB | Si | |
| 162,407 | 2,019 | NARA2**111985 | 1985-11-13 | 34 | dc41e5abd14c64656ebc14ec1877406a | NA | Mujer | 2019-10-04 | NA | PG-PAI | Si |
| 128,394 | 2,018 | NARA2**111985 | 1985-11-13 | 33 | dc41e5abd14c64656ebc14ec1877406a | NA | Mujer | 2017-07-07 | 2018-01-25 | M-PAI | Si |
| 69,404 | 2,015 | JOVA1**051990 | 1990-05-23 | 29 | dc47fa5cfcb3e688ad4cbfbb727015cf | Hombre | 2014-10-14 | NA | PG-PAI | Si | |
| 58,294 | 2,014 | JOVA1**051990 | 1990-05-23 | 29 | dc47fa5cfcb3e688ad4cbfbb727015cf | Hombre | 2014-05-19 | 2014-10-29 | PG-PAI | Si | |
| 49,446 | 2,014 | JOVA1**051994 | 1994-05-23 | 25 | dc47fa5cfcb3e688ad4cbfbb727015cf | Hombre | 2013-06-15 | 2014-02-13 | PG-PAB | Si | |
| 111,383 | 2,017 | REJI1**111996 | 1996-11-03 | 23 | dca600280b7cb947f7098e1a69b9f9df | NA | Hombre | 2016-12-20 | 2017-02-24 | PG-PAI | Si |
| 88,682 | 2,016 | REJI1**111964 | 1964-11-03 | 55 | dca600280b7cb947f7098e1a69b9f9df | Hombre | 2015-08-11 | 2016-04-15 | PG-PAI | Si | |
| 58,814 | 2,014 | REJI1**111964 | 1964-11-03 | 55 | dca600280b7cb947f7098e1a69b9f9df | Hombre | 2014-06-24 | 2014-07-31 | PG-PR | Si | |
| 104,405 | 2,016 | JOBU1**011990 | 1990-01-20 | 29 | dcf21c3469c821339944329ab51b557e | Hombre | 2016-11-23 | 2017-01-13 | PG-PR | Si | |
| 35,032 | 2,013 | JOBU1**011990 | 1990-01-20 | 29 | dcf21c3469c821339944329ab51b557e | Hombre | 2012-12-04 | 2013-03-25 | PG-PR | Si | |
| 24,874 | 2,012 | JOBU1**011993 | 1993-01-20 | 26 | dcf21c3469c821339944329ab51b557e | Hombre | 2012-02-20 | 2012-02-21 | PG-PR | Si | |
| 1,385 | 2,010 | JOBU1**011990 | 1990-01-20 | 29 | dcf21c3469c821339944329ab51b557e | Hombre | 2009-07-15 | 2010-02-20 | PG-PR | Si | |
| 108,727 | 2,017 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | NA | Mujer | 2016-08-01 | 2017-08-01 | PG-PAI | Si |
| 82,620 | 2,015 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2015-10-01 | 2015-11-30 | M-PR | Si | |
| 81,930 | 2,015 | SAMA2**021967 | 1967-02-14 | 52 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2015-09-02 | 2015-09-30 | M-PAI | Si | |
| 78,942 | 2,015 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2015-07-01 | 2015-08-31 | M-PAI | Si | |
| 73,892 | 2,015 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2015-03-16 | 2015-06-30 | M-PR | Si | |
| 65,650 | 2,015 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2013-06-10 | 2015-03-20 | PG-PAI | Si | |
| 33,754 | 2,013 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2012-08-24 | 2013-05-07 | M-PAI | Si | |
| 28,254 | 2,012 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2012-07-02 | 2012-08-30 | PG-PAB | Si | |
| 1,356 | 2,010 | SAMA2**121967 | 1967-12-14 | 51 | dd0d42261d00273d4e19ff2a46bda4b9 | Mujer | 2009-06-10 | 2010-02-26 | PG-PAI | Si | |
| 156,022 | 2,019 | ERFL1**091971 | 1971-09-13 | 48 | dd15061466a4f2d2912dec2fa37660bd | NA | Hombre | 2019-04-01 | NA | PG-PR | Si |
| 147,659 | 2,019 | ERFL1**091971 | 1971-09-13 | 48 | dd15061466a4f2d2912dec2fa37660bd | NA | Hombre | 2018-05-03 | 2019-03-29 | PG-PAI | Si |
| 116,300 | 2,017 | ERFL1**041970 | 1970-04-02 | 49 | dd15061466a4f2d2912dec2fa37660bd | NA | Hombre | 2017-02-06 | 2017-06-16 | PG-PAB | Si |
| 17,966 | 2,011 | PASA1**101983 | 1983-10-17 | 36 | dd41acbe7b98c219bddcf539f2bd5cac | Hombre | 2011-08-03 | 2011-10-27 | PG-PAB | Si | |
| 7,697 | 2,010 | PASA1**101985 | 1985-10-17 | 34 | dd41acbe7b98c219bddcf539f2bd5cac | Hombre | 2010-09-06 | 2011-01-26 | PG-PAB | No | |
| 27,379 | 2,012 | GIIB1**101966 | 1966-10-13 | 53 | dd9becb7fe8d3544dc1c989c19c97581 | Hombre | 2012-06-12 | 2012-11-14 | PG-PAI | Si | |
| 24,472 | 2,012 | GIIB1**101992 | 1992-10-10 | 27 | dd9becb7fe8d3544dc1c989c19c97581 | Hombre | 2012-01-25 | 2012-04-12 | PG-PAI | Si | |
| 20,973 | 2,012 | GIIB1**101966 | 1966-10-13 | 53 | dd9becb7fe8d3544dc1c989c19c97581 | Hombre | 2011-01-25 | 2012-02-07 | PG-PAI | Si | |
| 58,050 | 2,014 | YEGO1**081982 | 1982-08-12 | 37 | dd9cc106b68f54509c3eb728ec3d9415 | Hombre | 2014-05-20 | 2014-07-30 | PG-PAB | Si | |
| 24,908 | 2,012 | YEGO1**081992 | 1992-08-12 | 27 | dd9cc106b68f54509c3eb728ec3d9415 | Hombre | 2012-02-06 | 2012-04-25 | PG-PAI | Si | |
| 158,871 | 2,019 | BAQU2**111982 | 1982-11-08 | 37 | de33ee17d79ab0339b0953aa53e6f4d1 | NA | Mujer | 2019-06-25 | NA | M-PAI | Si |
| 153,332 | 2,019 | BAQU2**111982 | 1982-11-08 | 37 | de33ee17d79ab0339b0953aa53e6f4d1 | NA | Mujer | 2019-02-14 | 2019-06-24 | M-PR | Si |
| 138,314 | 2,018 | BAQU2**111982 | 1982-11-08 | 36 | de33ee17d79ab0339b0953aa53e6f4d1 | NA | Mujer | 2018-05-29 | 2018-08-03 | PG-PAI | Si |
| 136,223 | 2,018 | NAAS2**111984 | 1984-11-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | NA | Mujer | 2018-04-18 | 2018-12-18 | PG-PAI | Si |
| 129,960 | 2,018 | NAAS2**111984 | 1984-11-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | NA | Mujer | 2017-10-03 | 2018-02-27 | M-PR | Si |
| 110,997 | 2,017 | NAAS2**111984 | 1984-11-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | NA | Mujer | 2016-11-23 | 2017-10-02 | PG-PAB | Si |
| 77,464 | 2,015 | NAAS2**111984 | 1984-11-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | Mujer | 2015-02-11 | 2015-09-29 | PG-PAB | Si | |
| 58,459 | 2,014 | NAAS2**091984 | 1984-09-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | Mujer | 2014-05-12 | 2014-12-31 | PG-PAI | Si | |
| 34,335 | 2,013 | NAAS2**111984 | 1984-11-05 | 35 | de4d49f9e18a4be3c835d8a816f69e23 | Mujer | 2012-10-31 | 2013-07-31 | PG-PAI | Si | |
| 10,038 | 2,011 | NAAS2**111984 | 1984-11-15 | 34 | de4d49f9e18a4be3c835d8a816f69e23 | Mujer | 2010-01-20 | 2011-06-03 | PG-PAI | Si | |
| 93,642 | 2,016 | PERO1**081972 | 1972-08-09 | 47 | de4fc1961b0ee5d421645d3932341631 | Hombre | 2016-01-13 | 2016-08-16 | PG-PR | Si | |
| 90,524 | 2,016 | PERO1**081972 | 1972-08-09 | 47 | de4fc1961b0ee5d421645d3932341631 | Hombre | 2015-10-20 | 2016-01-12 | PG-PAI | Si | |
| 48,570 | 2,014 | PERO1**081962 | 1962-08-09 | 57 | de4fc1961b0ee5d421645d3932341631 | Hombre | 2013-02-25 | 2014-02-04 | PG-PAB | Si | |
| 157,663 | 2,019 | JUAS1**111954 | 1954-11-08 | 65 | de59738859fbee4ca81db6a8ea7e0b7e | NA | Hombre | 2019-05-02 | NA | PG-PAI | Si |
| 125,956 | 2,018 | JUAS1**111954 | 1954-11-08 | 64 | de59738859fbee4ca81db6a8ea7e0b7e | NA | Hombre | 2016-02-17 | 2018-05-11 | PG-PAI | Si |
| 156,819 | 2,019 | DAGA1**111995 | 1995-11-08 | 24 | de5fe6de1e8281dbacb67dbaadd2da44 | NA | Hombre | 2019-03-13 | 2019-09-30 | PG-PAI | Si |
| 114,180 | 2,017 | DAGA1**111995 | 1995-11-08 | 23 | de5fe6de1e8281dbacb67dbaadd2da44 | NA | Hombre | 2017-03-02 | 2017-06-30 | PG-PAI | Si |
| 113,153 | 2,017 | DAGA1**111995 | 1995-11-08 | 23 | de5fe6de1e8281dbacb67dbaadd2da44 | NA | Hombre | 2017-02-02 | 2017-03-01 | PG-PAI | Si |
| 71,681 | 2,015 | CHPO1**111956 | 1956-11-21 | 62 | de8d6d1824c3c71813c49a97c9b2cf65 | Hombre | 2015-01-08 | 2015-05-29 | PG-PAI | Si | |
| 64,468 | 2,014 | CHPO1**101956 | 1956-10-21 | 63 | de8d6d1824c3c71813c49a97c9b2cf65 | Hombre | 2014-11-12 | 2015-01-29 | PG-PAB | Si | |
| 30,250 | 2,012 | CHPO1**101956 | 1956-10-21 | 63 | de8d6d1824c3c71813c49a97c9b2cf65 | Hombre | 2012-09-03 | 2012-12-31 | PG-PAB | Si | |
| 130,520 | 2,018 | ANSA1**011989 | 1989-01-04 | 30 | de970d5730f19853f55b07c485e55ae8 | NA | Hombre | 2017-10-11 | 2018-03-01 | PG-PR | Si |
| 113,617 | 2,017 | ANSA1**011999 | 1999-01-04 | 20 | de970d5730f19853f55b07c485e55ae8 | NA | Hombre | 2016-12-12 | 2017-10-03 | PG-PAI | Si |
| 47,925 | 2,014 | ANSA1**011989 | 1989-01-04 | 30 | de970d5730f19853f55b07c485e55ae8 | Hombre | 2012-06-18 | 2014-09-02 | PG-PAI | Si | |
| 27,956 | 2,012 | ANSA1**011989 | 1989-01-04 | 30 | de970d5730f19853f55b07c485e55ae8 | Hombre | 2012-06-18 | 2012-07-02 | PG-PAB | Si | |
| 146,291 | 2,019 | ROGO1**121988 | 1988-12-15 | 30 | df434ddfa68cf1d717a54bc7b200aa1f | NA | Hombre | 2017-10-23 | 2019-01-02 | PG-PAB | Si |
| 22,471 | 2,012 | ROGO1**121985 | 1985-12-15 | 33 | df434ddfa68cf1d717a54bc7b200aa1f | Hombre | 2011-10-03 | 2012-03-16 | PG-PAI | Si | |
| 52,277 | 2,014 | JOBR1**111990 | 1990-11-22 | 28 | df464eb979f6ff7da168f9e90b48dc3d | Hombre | 2013-11-04 | 2014-10-16 | PG-PR | Si | |
| 40,252 | 2,013 | JOBR1**091990 | 1990-09-22 | 29 | df464eb979f6ff7da168f9e90b48dc3d | Hombre | 2013-05-06 | 2013-08-16 | PG-PAI | Si | |
| 156,004 | 2,019 | KACA2**021981 | 1981-02-22 | 38 | df6148ce34b5e919ba266b5d0e97806e | NA | Mujer | 2019-04-01 | NA | M-PAI | Si |
| 93,379 | 2,016 | KACA2**021981 | 1981-02-22 | 38 | df6148ce34b5e919ba266b5d0e97806e | Mujer | 2016-02-04 | 2016-03-21 | M-PAI | Si | |
| 37,541 | 2,013 | KACA2**021981 | 1981-02-22 | 38 | df6148ce34b5e919ba266b5d0e97806e | Mujer | 2013-02-26 | 2013-10-29 | M-PAI | Si | |
| 23,872 | 2,012 | KACA2**021981 | 1981-02-22 | 38 | df6148ce34b5e919ba266b5d0e97806e | Mujer | 2011-10-24 | 2012-05-01 | M-PAI | Si | |
| 18,391 | 2,011 | KACA2**021981 | 1981-02-22 | 38 | df6148ce34b5e919ba266b5d0e97806e | Mujer | 2011-09-08 | 2011-10-18 | M-PR | Si | |
| 11,657 | 2,011 | KACA2**021991 | 1991-02-22 | 28 | df6148ce34b5e919ba266b5d0e97806e | Mujer | 2010-10-14 | 2010-12-28 | M-PAI | Si | |
| 117,601 | 2,017 | ALFR2**051974 | 1974-05-23 | 45 | df8af13efcbdc722453c2ac069bf5c9d | NA | Mujer | 2017-05-10 | 2017-08-31 | PG-PAI | Si |
| 99,970 | 2,016 | ALFR2**051974 | 1974-05-23 | 45 | df8af13efcbdc722453c2ac069bf5c9d | Mujer | 2016-07-26 | 2016-08-15 | PG-PR | No | |
| 96,258 | 2,016 | ALFR2**051954 | 1954-05-23 | 65 | df8af13efcbdc722453c2ac069bf5c9d | Mujer | 2016-04-15 | 2016-07-25 | PG-PAI | Si | |
| 124,390 | 2,017 | YECO1**031976 | 1976-03-08 | 43 | dfb6b85b54ff385fc0b50741b2f8141f | NA | Hombre | 2017-11-06 | 2017-11-28 | PG-PR | Si |
| 122,282 | 2,017 | YECO1**031976 | 1976-03-08 | 43 | dfb6b85b54ff385fc0b50741b2f8141f | NA | Hombre | 2017-08-08 | 2017-11-03 | PG-PAB | Si |
| 107,710 | 2,017 | YECO1**031976 | 1976-03-08 | 43 | dfb6b85b54ff385fc0b50741b2f8141f | NA | Hombre | 2016-05-18 | 2017-07-26 | PG-PR | Si |
| 66,316 | 2,015 | YECO1**031978 | 1978-03-08 | 41 | dfb6b85b54ff385fc0b50741b2f8141f | Hombre | 2014-01-30 | 2015-04-01 | PG-PAI | Si | |
| 150,828 | 2,019 | MIAR1**111982 | 1982-11-09 | 37 | dfd795096ff014a85a05d81389011882 | NA | Hombre | 2018-10-27 | NA | PG-PAI | Si |
| 118,828 | 2,017 | MIAR1**111982 | 1982-11-09 | 36 | dfd795096ff014a85a05d81389011882 | NA | Hombre | 2017-04-04 | 2017-11-01 | PG-PAI | Si |
| 93,116 | 2,016 | MIAR1**111982 | 1982-11-09 | 36 | dfd795096ff014a85a05d81389011882 | Hombre | 2016-01-29 | 2016-05-30 | PG-PAI | Si | |
| 119,242 | 2,017 | MASO2**101993 | 1993-10-05 | 26 | e01f5f34b725a5ebced7ae481600dc40 | NA | Mujer | 2017-07-12 | 2017-09-28 | M-PR | Si |
| 94,105 | 2,016 | MASO2**101992 | 1992-10-05 | 27 | e01f5f34b725a5ebced7ae481600dc40 | Mujer | 2016-02-22 | 2016-03-08 | M-PR | Si | |
| 23,863 | 2,012 | NISO1**021988 | 1988-02-03 | 31 | e04d64335833be5b9f0d3202c1150621 | Hombre | 2012-01-10 | 2012-04-26 | PG-PAB | Si | |
| 1,756 | 2,010 | NISO1**121988 | 1988-12-03 | 30 | e04d64335833be5b9f0d3202c1150621 | Hombre | 2009-09-22 | 2010-02-26 | PG-PAB | Si | |
| 70,658 | 2,015 | CAMO1**051982 | 1982-05-31 | 37 | e091e08a777141dd8f502e6e3362d91f | Hombre | 2014-11-25 | 2015-08-03 | PG-PAI | Si | |
| 37,568 | 2,013 | CAMO1**031994 | 1994-03-14 | 25 | e091e08a777141dd8f502e6e3362d91f | Hombre | 2013-03-14 | 2013-04-01 | PG-PR | Si | |
| 69,614 | 2,015 | JEGO2**051988 | 1988-05-27 | 31 | e0cfb3a0ba90dd05cac82e1087bbc6fd | Mujer | 2014-11-01 | 2015-03-27 | PG-PAI | Si | |
| 63,549 | 2,014 | JEGO2**051998 | 1998-05-17 | 21 | e0cfb3a0ba90dd05cac82e1087bbc6fd | Mujer | 2014-10-08 | 2014-11-01 | PG-PR | Si | |
| 50,702 | 2,014 | MIES1**061981 | 1981-06-19 | 38 | e125c421dba1ba2359ec187ec715dc45 | Hombre | 2013-09-03 | 2014-06-02 | PG-PAI | Si | |
| 34,941 | 2,013 | MIES1**061981 | 1981-06-19 | 38 | e125c421dba1ba2359ec187ec715dc45 | Hombre | 2012-11-23 | 2013-08-29 | PG-PAI | Si | |
| 431 | 2,010 | MIES1**061984 | 1984-06-15 | 35 | e125c421dba1ba2359ec187ec715dc45 | Hombre | 2009-03-09 | 2010-03-15 | PG-PR | Si | |
| 49,426 | 2,014 | WABU1**031994 | 1994-03-02 | 25 | e17ce266edcb39ac91f26338a3cf62db | Hombre | 2013-06-03 | 2014-06-30 | PG-PAI | Si | |
| 14,163 | 2,011 | WABU1**031970 | 1970-03-02 | 49 | e17ce266edcb39ac91f26338a3cf62db | Hombre | 2011-03-01 | 2011-07-06 | PG-PAB | Si | |
| 10,046 | 2,011 | WABU1**031970 | 1970-03-02 | 49 | e17ce266edcb39ac91f26338a3cf62db | Hombre | 2009-10-01 | 2011-02-28 | PG-PAI | Si | |
| 119,295 | 2,017 | RUMU1**081963 | 1963-08-29 | 56 | e17e5d7ebf1a35390641d0baea11644f | NA | Hombre | 2017-07-18 | 2017-11-22 | PG-PR | Si |
| 113,203 | 2,017 | RUMU1**081965 | 1965-08-29 | 54 | e17e5d7ebf1a35390641d0baea11644f | NA | Hombre | 2017-02-06 | 2017-07-17 | PG-PAB | Si |
| 12,200 | 2,011 | RUMU1**081985 | 1985-08-29 | 34 | e17e5d7ebf1a35390641d0baea11644f | Hombre | 2010-11-01 | 2011-03-31 | PG-PAB | Si | |
| 156,454 | 2,019 | JACA1**121956 | 1956-12-15 | 62 | e1b4b5533f74c4050e10e306d25aa273 | NA | Hombre | 2019-04-11 | NA | PG-PAI | Si |
| 116,316 | 2,017 | JACA1**041965 | 1965-04-06 | 54 | e1b4b5533f74c4050e10e306d25aa273 | NA | Hombre | 2017-03-24 | 2017-07-28 | PG-PAB | Si |
| 89,349 | 2,016 | JACA1**121956 | 1956-12-14 | 62 | e1b4b5533f74c4050e10e306d25aa273 | Hombre | 2015-09-03 | 2016-03-01 | PG-PAI | Si | |
| 133,777 | 2,018 | DASE1**011976 | 1976-01-07 | 43 | e1e35fee2a752b2688db17b49c028424 | NA | Hombre | 2018-02-02 | 2018-07-19 | PG-PAI | Si |
| 125,754 | 2,017 | DASE1**011976 | 1976-01-07 | 43 | e1e35fee2a752b2688db17b49c028424 | NA | Hombre | 2017-12-13 | 2018-02-01 | PG-PAB | Si |
| 113,320 | 2,017 | DASE1**011966 | 1966-01-07 | 53 | e1e35fee2a752b2688db17b49c028424 | NA | Hombre | 2017-02-06 | 2017-07-28 | PG-PAB | Si |
| 71,209 | 2,015 | DASE1**011976 | 1976-01-07 | 43 | e1e35fee2a752b2688db17b49c028424 | Hombre | 2015-01-28 | 2015-05-20 | PG-PAB | Si | |
| 86,474 | 2,016 | MEGU2**101960 | 1960-10-12 | 59 | e295197ee7cbf2a2b6cc71e97e48bbf1 | Mujer | 2015-02-05 | 2016-02-01 | M-PAI | Si | |
| 70,679 | 2,015 | MEGU2**101964 | 1964-10-12 | 55 | e295197ee7cbf2a2b6cc71e97e48bbf1 | Mujer | 2014-09-08 | 2015-02-03 | PG-PAI | Si | |
| 105,092 | 2,016 | CLAG2**121987 | 1987-12-16 | 31 | e2ee1e143262cfd7d4c2df52a0033560 | Mujer | 2016-12-01 | 2016-12-30 | M-PAI | Si | |
| 93,190 | 2,016 | CLAG2**011987 | 1987-01-16 | 32 | e2ee1e143262cfd7d4c2df52a0033560 | Mujer | 2016-01-29 | 2016-11-30 | M-PR | Si | |
| 126,682 | 2,018 | LICA2**101972 | 1972-10-27 | 47 | e35c539bf00ca58606e9c452f743e861 | NA | Mujer | 2016-11-14 | 2018-08-01 | PG-PAI | Si |
| 76,284 | 2,015 | LICA2**111972 | 1972-11-27 | 46 | e35c539bf00ca58606e9c452f743e861 | Mujer | 2015-05-15 | 2015-08-25 | M-PAI | Si | |
| 54,290 | 2,014 | LICA2**101972 | 1972-10-27 | 47 | e35c539bf00ca58606e9c452f743e861 | Mujer | 2014-02-05 | 2014-04-01 | PG-PAB | Si | |
| 110,292 | 2,017 | MAAR2**071989 | 1989-07-19 | 30 | e35d8927786d016dd71c67c7e63d80d6 | NA | Mujer | 2016-11-11 | 2017-01-24 | M-PAI | Si |
| 45,820 | 2,013 | MAAR2**071990 | 1990-07-09 | 29 | e35d8927786d016dd71c67c7e63d80d6 | Mujer | 2013-10-09 | 2013-12-30 | M-PR | Si | |
| 161,399 | 2,019 | PECA1**111980 | 1980-11-11 | 39 | e3c2d7b4e3a869d2e06a22a64e030e0f | NA | Hombre | 2019-09-10 | NA | PG-PR | Si |
| 50,446 | 2,014 | PECA1**111980 | 1980-11-11 | 38 | e3c2d7b4e3a869d2e06a22a64e030e0f | Hombre | 2013-08-13 | 2014-08-22 | PG-PR | Si | |
| 92,361 | 2,016 | CAFI2**101983 | 1983-10-13 | 36 | e3ce73f64ce34ea115c3e7fd78d02bdf | Mujer | 2016-01-19 | 2016-03-01 | M-PR | Si | |
| 88,442 | 2,016 | CAFI2**111983 | 1983-11-13 | 35 | e3ce73f64ce34ea115c3e7fd78d02bdf | Mujer | 2015-07-15 | 2016-01-18 | PG-PAI | Si | |
| 105,514 | 2,017 | MASI2**111984 | 1984-11-11 | 34 | e43480084bb07f08568e96b817bda091 | NA | Mujer | 2015-02-26 | 2017-08-04 | PG-PAB | Si |
| 63,637 | 2,014 | MASI2**101984 | 1984-10-11 | 35 | e43480084bb07f08568e96b817bda091 | Mujer | 2014-10-07 | 2014-12-31 | M-PR | Si | |
| 50,589 | 2,014 | MASI2**101984 | 1984-10-11 | 35 | e43480084bb07f08568e96b817bda091 | Mujer | 2013-09-13 | 2014-10-09 | PG-PAB | Si | |
| 149,993 | 2,019 | HESA2**111962 | 1962-11-08 | 57 | e46da0c3b69d2280b527e80989e443c8 | NA | Mujer | 2018-10-09 | NA | PG-PAI | Si |
| 62,604 | 2,014 | HESA2**111962 | 1962-11-08 | 56 | e46da0c3b69d2280b527e80989e443c8 | Mujer | 2014-09-29 | 2014-11-30 | PG-PAB | Si | |
| 131,580 | 2,018 | LEVE1**081987 | 1987-08-05 | 32 | e49b2608df5c7ac6c370b3990d710619 | NA | Hombre | 2017-11-27 | 2018-07-09 | PG-PAI | Si |
| 91,219 | 2,016 | LEVE2**081978 | 1978-08-05 | 41 | e49b2608df5c7ac6c370b3990d710619 | Mujer | 2015-11-19 | 2016-04-01 | PG-PAI | Si | |
| 42,927 | 2,013 | LEVE2**081985 | 1985-08-05 | 34 | e49b2608df5c7ac6c370b3990d710619 | Mujer | 2013-07-25 | 2013-09-26 | PG-PAB | Si | |
| 34,850 | 2,013 | LEVE2**081987 | 1987-08-05 | 32 | e49b2608df5c7ac6c370b3990d710619 | Mujer | 2012-11-30 | 2013-08-05 | PG-PAI | Si | |
| 66,679 | 2,015 | IRCA2**031965 | 1965-03-09 | 54 | e4b30e78aa708e08e15b5c519f79158e | Mujer | 2014-03-17 | 2015-09-11 | PG-PAB | Si | |
| 38,809 | 2,013 | IRCA2**041955 | 1955-04-09 | 64 | e4b30e78aa708e08e15b5c519f79158e | Mujer | 2013-04-11 | 2013-06-25 | PG-PAB | Si | |
| 35,695 | 2,013 | RIRE1**051973 | 1973-05-01 | 46 | e4b3e7249fe8bd90d8cef2a56a24dac5 | Hombre | 2013-01-02 | 2013-11-08 | PG-PAI | Si | |
| 10,746 | 2,011 | RIRE1**051978 | 1978-05-01 | 41 | e4b3e7249fe8bd90d8cef2a56a24dac5 | Hombre | 2009-11-04 | 2011-06-01 | PG-PAI | Si | |
| 16,605 | 2,011 | KALA2**011971 | 1971-01-06 | 48 | e4d0616bb77e91ff04b2b79db4a3c378 | Mujer | 2011-05-18 | 2011-12-01 | PG-PAI | Si | |
| 6,955 | 2,010 | KALA2**011979 | 1979-01-06 | 40 | e4d0616bb77e91ff04b2b79db4a3c378 | Mujer | 2010-04-09 | 2010-10-29 | PG-PAI | Si | |
| 93,452 | 2,016 | HERA1**011957 | 1957-01-08 | 62 | e5591108dc94fc108aa331af5bace5da | Hombre | 2016-02-01 | 2017-01-02 | PG-PAI | Si | |
| 35,964 | 2,013 | HERA1**091956 | 1956-09-22 | 63 | e5591108dc94fc108aa331af5bace5da | Hombre | 2013-01-01 | 2014-08-01 | Otro | No | |
| 52,812 | 2,014 | JOVA2**081988 | 1988-08-13 | 31 | e56b4ab7f2de83efd27105f19a59f181 | Mujer | 2013-12-12 | 2014-12-30 | PG-PAB | Si | |
| 33,611 | 2,013 | JOVA2**081988 | 1988-08-13 | 31 | e56b4ab7f2de83efd27105f19a59f181 | Mujer | 2012-08-27 | 2013-06-04 | M-PR | Si | |
| 23,370 | 2,012 | JOVA2**121988 | 1988-12-13 | 30 | e56b4ab7f2de83efd27105f19a59f181 | Mujer | 2011-12-14 | 2012-08-24 | PG-PAI | Si | |
| 75,332 | 2,015 | ANCO1**101989 | 1989-10-24 | 30 | e5947c9cd6b5b86e33b65305afcf4f17 | Hombre | 2015-04-20 | 2015-06-01 | PG-PR | Si | |
| 70,837 | 2,015 | ANCO1**101980 | 1980-10-24 | 39 | e5947c9cd6b5b86e33b65305afcf4f17 | Hombre | 2014-12-17 | 2015-03-23 | PG-PAI | Si | |
| 143,798 | 2,018 | FRBA1**011971 | 1971-01-13 | 48 | e5acd23612c53c7f18f98c38b7a5b943 | NA | Hombre | 2018-10-01 | 2018-11-27 | PG-PAI | Si |
| 106,955 | 2,017 | FRBA1**011996 | 1996-01-13 | 23 | e5acd23612c53c7f18f98c38b7a5b943 | NA | Hombre | 2016-04-20 | 2017-01-31 | PG-PAB | Si |
| 25,465 | 2,012 | FRBA1**011971 | 1971-01-13 | 48 | e5acd23612c53c7f18f98c38b7a5b943 | Hombre | 2012-03-19 | 2012-06-26 | PG-PAB | Si | |
| 91,007 | 2,016 | LUMU1**121968 | 1968-12-02 | 50 | e655e0b384914154cb365ddb00a8a0ae | Hombre | 2015-10-17 | 2016-06-02 | PG-PAB | Si | |
| 7,764 | 2,010 | LUMU1**091991 | 1991-09-07 | 28 | e655e0b384914154cb365ddb00a8a0ae | Hombre | 2010-09-07 | 2010-12-17 | Otro | No | |
| 13,699 | 2,011 | SIAL1**121971 | 1971-12-21 | 47 | e66011a254ffef5bf8023d0d53fa89bb | Hombre | 2010-10-29 | 2011-05-02 | PG-PAB | Si | |
| 1,149 | 2,010 | SIAL1**091965 | 1965-09-09 | 54 | e66011a254ffef5bf8023d0d53fa89bb | Hombre | 2010-01-21 | 2010-09-11 | PG-PAB | Si | |
| 118,067 | 2,017 | MINA1**111981 | 1981-11-21 | 37 | e6b10dd10266ea317940016b36821edc | NA | Hombre | 2017-06-01 | 2017-11-24 | PG-PR | Si |
| 109,942 | 2,017 | MINA1**101981 | 1981-10-21 | 38 | e6b10dd10266ea317940016b36821edc | NA | Hombre | 2016-09-13 | 2017-05-31 | PG-PAI | Si |
| 12,902 | 2,011 | MINA1**111981 | 1981-11-21 | 37 | e6b10dd10266ea317940016b36821edc | Hombre | 2010-12-01 | 2011-07-22 | PG-PAI | Si | |
| 32,633 | 2,013 | SAMA1**111976 | 1976-11-05 | 43 | e6c22e02b9f739cedff92486a2bc172f | Hombre | 2012-03-06 | 2013-08-12 | PG-PAB | Si | |
| 4,706 | 2,010 | SAMA2**111976 | 1976-11-06 | 42 | e6c22e02b9f739cedff92486a2bc172f | Mujer | 2010-04-26 | 2010-11-03 | PG-PAB | Si | |
| 136,400 | 2,018 | JOSA1**121977 | 1977-12-21 | 41 | e6f0ac8f9a355f918918a496f3562b7b | NA | Hombre | 2018-04-16 | 2018-06-25 | PG-PAI | Si |
| 120,651 | 2,017 | JOSA1**081999 | 1999-08-10 | 20 | e6f0ac8f9a355f918918a496f3562b7b | NA | Hombre | 2017-08-14 | 2017-09-22 | PG-PAB | Si |
| 107,405 | 2,017 | TEUR2**101964 | 1964-10-02 | 55 | e71deed74ba0d4c5a4f65547b6484a7d | NA | Mujer | 2016-05-31 | 2017-07-03 | PG-PAB | Si |
| 155 | 2,010 | TEUR2**101969 | 1969-10-04 | 50 | e71deed74ba0d4c5a4f65547b6484a7d | Mujer | 2009-09-01 | 2010-03-25 | M-PR | Si | |
| 51,337 | 2,014 | FLLE2**021971 | 1971-02-13 | 48 | e7421231aacd163e1748688e78453b99 | Mujer | 2013-10-08 | 2014-05-06 | M-PAI | Si | |
| 35,473 | 2,013 | FLLE2**021971 | 1971-02-13 | 48 | e7421231aacd163e1748688e78453b99 | Mujer | 2012-12-14 | 2013-08-12 | M-PAI | Si | |
| 14,935 | 2,011 | FLLE2**021972 | 1972-02-13 | 47 | e7421231aacd163e1748688e78453b99 | Mujer | 2011-03-21 | 2011-04-01 | PG-PR | No | |
| 10,954 | 2,011 | FLLE2**021972 | 1972-02-13 | 47 | e7421231aacd163e1748688e78453b99 | Mujer | 2010-08-18 | 2011-02-28 | PG-PR | Si | |
| 3,210 | 2,010 | FLLE2**021973 | 1973-02-13 | 46 | e7421231aacd163e1748688e78453b99 | Mujer | 2009-04-29 | 2010-02-26 | PG-PAI | Si | |
| 45,683 | 2,013 | ROCA1**031979 | 1979-03-03 | 40 | e77083b10a5022750529a71526c6315d | Hombre | 2013-10-03 | 2016-01-28 | PG-PAI | Si | |
| 16,493 | 2,011 | ROCA1**031979 | 1979-03-03 | 40 | e77083b10a5022750529a71526c6315d | Hombre | 2011-06-09 | 2012-02-02 | PG-PAB | Si | |
| 13,437 | 2,011 | ROCA1**011980 | 1980-01-01 | 39 | e77083b10a5022750529a71526c6315d | Hombre | 2011-01-07 | 2011-02-07 | PG-PAB | Si | |
| 114,362 | 2,017 | MASA1**061983 | 1983-06-28 | 36 | e795f4d666fcb040393944359200b90c | NA | Hombre | 2017-03-20 | 2017-07-03 | PG-PAI | Si |
| 94,123 | 2,016 | MASA1**061983 | 1983-06-08 | 36 | e795f4d666fcb040393944359200b90c | Hombre | 2016-02-24 | 2016-05-01 | PG-PR | Si | |
| 85,941 | 2,016 | MASA1**061973 | 1973-06-08 | 46 | e795f4d666fcb040393944359200b90c | Hombre | 2014-08-04 | 2016-02-23 | PG-PAB | Si | |
| 56,274 | 2,014 | MASA1**061983 | 1983-06-08 | 36 | e795f4d666fcb040393944359200b90c | Hombre | 2014-03-06 | 2014-04-16 | PG-PAI | Si | |
| 129,314 | 2,018 | PAEL1**071999 | 1999-07-01 | 20 | e7f6d28054f0c233e28180ca9b62a03c | NA | Hombre | 2017-07-13 | 2018-10-31 | PG-PAI | Si |
| 92,761 | 2,016 | PAEL1**071982 | 1982-07-01 | 37 | e7f6d28054f0c233e28180ca9b62a03c | Hombre | 2016-01-04 | 2016-08-31 | PG-PAI | Si | |
| 126,404 | 2,018 | MOJE2**101983 | 1983-10-19 | 36 | e846c9a426cf46d8899567042d2e14d3 | NA | Mujer | 2016-11-15 | 2018-05-31 | PG-PAB | Si |
| 58,615 | 2,014 | MOJE2**111983 | 1983-11-19 | 35 | e846c9a426cf46d8899567042d2e14d3 | Mujer | 2014-06-18 | 2015-03-03 | PG-PAB | Si | |
| 154,475 | 2,019 | EFTO1**121975 | 1975-12-24 | 43 | e8886226c506e0c77d5bf7a12d1db441 | NA | Hombre | 2019-03-04 | 2019-08-27 | PG-PAB | Si |
| 109,280 | 2,017 | EFTO1**121976 | 1976-12-24 | 42 | e8886226c506e0c77d5bf7a12d1db441 | NA | Hombre | 2016-09-01 | 2017-02-28 | PG-PAB | Si |
| 146,026 | 2,019 | CRRE1**111969 | 1969-11-11 | 50 | e88b156187f83b17b5fbce32a5a978a4 | NA | Hombre | 2017-07-07 | NA | PG-PAI | Si |
| 70,183 | 2,015 | CRRE1**111969 | 1969-11-11 | 49 | e88b156187f83b17b5fbce32a5a978a4 | Hombre | 2014-07-01 | 2015-02-02 | PG-PAI | Si | |
| 50,892 | 2,014 | CRRE1**111969 | 1969-11-11 | 49 | e88b156187f83b17b5fbce32a5a978a4 | Hombre | 2013-09-27 | 2014-06-30 | PG-PR | No | |
| 13,564 | 2,011 | CRRE1**111969 | 1969-11-11 | 49 | e88b156187f83b17b5fbce32a5a978a4 | Hombre | 2011-01-14 | 2011-11-10 | PG-PAI | Si | |
| 7,281 | 2,010 | CRRE1**111969 | 1969-11-11 | 49 | e88b156187f83b17b5fbce32a5a978a4 | Hombre | 2010-03-04 | 2010-11-24 | PG-PAI | Si | |
| 149,743 | 2,019 | MAHI2**011975 | 1975-01-14 | 44 | e8c458a2f63955e10aea9f65528349e1 | NA | Mujer | 2018-10-19 | 2019-03-13 | PG-PAB | Si |
| 81,183 | 2,015 | MAHI2**011974 | 1974-01-14 | 45 | e8c458a2f63955e10aea9f65528349e1 | Mujer | 2015-09-01 | 2015-12-17 | M-PAI | Si | |
| 151,623 | 2,019 | KEFE2**071981 | 1981-07-21 | 38 | e90c651c06765d57113258427579944a | NA | Mujer | 2018-12-14 | 2019-07-31 | M-PAI | Si |
| 119,432 | 2,017 | KEFE2**071999 | 1999-07-21 | 20 | e90c651c06765d57113258427579944a | NA | Mujer | 2017-05-31 | 2017-10-31 | M-PAI | Si |
| 93,614 | 2,016 | VAHO2**021996 | 1996-02-17 | 23 | e918c77eebbfb2e71cfb8e8c5e9c4ed8 | Mujer | 2016-02-15 | 2016-03-31 | M-PR | Si | |
| 80,317 | 2,015 | VAHO2**101989 | 1989-10-21 | 30 | e918c77eebbfb2e71cfb8e8c5e9c4ed8 | Mujer | 2015-08-18 | 2015-09-17 | M-PR | Si | |
| 147,080 | 2,019 | JAGO1**101977 | 1977-10-08 | 42 | e92822da16cfd3038f552373eadb2f9b | NA | Hombre | 2018-04-02 | 2019-03-01 | PG-PAI | Si |
| 134,429 | 2,018 | JAGO1**101977 | 1977-10-08 | 42 | e92822da16cfd3038f552373eadb2f9b | NA | Hombre | 2018-02-15 | 2018-03-05 | PG-PR | Si |
| 132,440 | 2,018 | JAGO1**101977 | 1977-10-08 | 42 | e92822da16cfd3038f552373eadb2f9b | NA | Hombre | 2018-01-02 | 2018-02-14 | PG-PAI | Si |
| 70,551 | 2,015 | JAGO1**101973 | 1973-10-08 | 46 | e92822da16cfd3038f552373eadb2f9b | Hombre | 2014-12-03 | 2015-01-28 | PG-PAB | Si | |
| 2,165 | 2,010 | JAGO1**101977 | 1977-10-08 | 42 | e92822da16cfd3038f552373eadb2f9b | Hombre | 2009-11-16 | 2010-05-05 | PG-PAI | Si | |
| 35,331 | 2,013 | ANTE1**071969 | 1969-07-01 | 50 | e932bfc142e9fe44aa96fd9e9ba5f807 | Hombre | 2013-01-01 | 2013-11-30 | PG-PR | Si | |
| 24,025 | 2,012 | ANTE1**081960 | 1960-08-16 | 59 | e932bfc142e9fe44aa96fd9e9ba5f807 | Hombre | 2011-08-19 | 2012-02-27 | PG-PAI | Si | |
| 91,422 | 2,016 | PANE1**041983 | 1983-04-05 | 36 | e95c9e3510a12153315dac20731ee0bc | Hombre | 2015-11-09 | 2016-04-01 | PG-PAB | Si | |
| 25,173 | 2,012 | PANE1**091979 | 1979-09-18 | 40 | e95c9e3510a12153315dac20731ee0bc | Hombre | 2012-02-14 | 2012-05-18 | PG-PAI | Si | |
| 48,628 | 2,014 | DAWI1**011984 | 1984-01-20 | 35 | e9af93c0adfacc94347d68ae80099af8 | Hombre | 2013-03-22 | 2014-01-31 | PG-PAI | Si | |
| 4,935 | 2,010 | DAWI1**111970 | 1970-11-16 | 48 | e9af93c0adfacc94347d68ae80099af8 | Hombre | 2010-04-12 | 2010-08-23 | PG-PAI | Si | |
| 127,179 | 2,018 | DACO2**041999 | 1999-04-03 | 20 | e9c126ca696b11cea2d0c407b562bb8b | NA | Mujer | 2017-03-23 | 2018-02-16 | PG-PAB | Si |
| 106,094 | 2,017 | DACO2**041989 | 1989-04-03 | 30 | e9c126ca696b11cea2d0c407b562bb8b | NA | Mujer | 2015-11-16 | 2017-03-07 | PG-PAI | Si |
| 152,706 | 2,019 | PABR1**101963 | 1963-10-03 | 56 | e9cccf45ab2da84b790b05917a564cd8 | NA | Hombre | 2019-01-24 | NA | PG-PAI | Si |
| 144,617 | 2,018 | PABR1**101963 | 1963-10-03 | 56 | e9cccf45ab2da84b790b05917a564cd8 | NA | Hombre | 2018-11-05 | 2018-12-19 | PG-PAI | Si |
| 141,221 | 2,018 | PABR1**101963 | 1963-10-03 | 56 | e9cccf45ab2da84b790b05917a564cd8 | NA | Hombre | 2018-08-29 | 2018-10-31 | PG-PAB | Si |
| 6,184 | 2,010 | PABR1**101964 | 1964-10-13 | 55 | e9cccf45ab2da84b790b05917a564cd8 | Hombre | 2010-07-05 | 2010-10-20 | PG-PAB | No | |
| 127,821 | 2,018 | CRFE1**011967 | 1967-01-07 | 52 | e9cdbc6f9c1cf20e2d517cc092006c1e | NA | Hombre | 2017-05-25 | 2019-02-01 | PG-PAI | Si |
| 94,276 | 2,016 | CRFE1**011996 | 1996-01-07 | 23 | e9cdbc6f9c1cf20e2d517cc092006c1e | Hombre | 2016-01-21 | 2016-06-07 | PG-PAB | No | |
| 145,899 | 2,019 | CAFO1**121990 | 1990-12-17 | 28 | e9f1a0fbe8723086b7452360851cb89a | NA | Hombre | 2017-04-10 | 2019-03-01 | PG-PAI | Si |
| 71,574 | 2,015 | CAFO1**011990 | 1990-01-17 | 29 | e9f1a0fbe8723086b7452360851cb89a | Hombre | 2015-01-27 | 2015-06-26 | PG-PR | Si | |
| 64,665 | 2,014 | CAFO1**121990 | 1990-12-17 | 28 | e9f1a0fbe8723086b7452360851cb89a | Hombre | 2014-10-02 | 2015-01-27 | PG-PAB | Si | |
| 34,365 | 2,013 | MIHE1**101982 | 1982-10-19 | 37 | ea675bfc8714318e06cd76225b3d3057 | Hombre | 2012-10-02 | 2013-05-10 | PG-PR | Si | |
| 3,694 | 2,010 | MIHE1**121982 | 1982-12-19 | 36 | ea675bfc8714318e06cd76225b3d3057 | Hombre | 2010-02-02 | 2010-03-01 | PG-PAB | Si | |
| 129,923 | 2,018 | NIAG1**091996 | 1996-09-08 | 23 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | Hombre | 2017-09-30 | 2018-02-22 | PG-PR | Si |
| 119,609 | 2,017 | JOTA1**091985 | 1985-09-12 | 34 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | Hombre | 2017-07-21 | 2017-08-04 | PG-PR | Si |
| 118,672 | 2,017 | JOTA1**091985 | 1985-09-12 | 34 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | Hombre | 2017-06-20 | 2017-07-07 | PG-PAI | Si |
| 108,270 | 2,017 | JOTA1**091985 | 1985-09-12 | 34 | ea72d4a9ef3baf47fa6921bbd8df61f1 | NA | Hombre | 2016-07-26 | 2017-02-24 | PG-PR | Si |
| 88,904 | 2,016 | JOTA1**091985 | 1985-09-12 | 34 | ea72d4a9ef3baf47fa6921bbd8df61f1 | Hombre | 2015-08-19 | 2016-06-01 | PG-PAI | Si | |
| 51,376 | 2,014 | OSCA1**051992 | 1992-05-31 | 27 | ea7f7d7829075250912d197e1d44f1b7 | Hombre | 2013-10-29 | 2014-04-16 | PG-PR | Si | |
| 43,991 | 2,013 | OSCA1**051982 | 1982-05-31 | 37 | ea7f7d7829075250912d197e1d44f1b7 | Hombre | 2013-08-26 | 2013-10-29 | PG-PAI | Si | |
| 129,152 | 2,018 | RATA2**121997 | 1997-12-12 | 21 | ea940d70952809b9bda44069ed359389 | NA | Mujer | 2017-08-08 | 2018-08-01 | PG-PAI | Si |
| 107,700 | 2,017 | RATA2**121994 | 1994-12-12 | 24 | ea940d70952809b9bda44069ed359389 | NA | Mujer | 2016-04-14 | 2017-02-15 | PG-PAI | Si |
| 97,918 | 2,016 | ALNO1**051996 | 1996-05-24 | 23 | eac0e9a294dd0fed642ac4dd7f092375 | Hombre | 2016-05-24 | 2016-09-23 | PG-PAI | Si | |
| 55,078 | 2,014 | ALNO1**041971 | 1971-04-30 | 48 | eac0e9a294dd0fed642ac4dd7f092375 | Hombre | 2014-01-27 | 2014-05-01 | PG-PAI | Si | |
| 49,255 | 2,014 | ALNO1**041971 | 1971-04-30 | 48 | eac0e9a294dd0fed642ac4dd7f092375 | Hombre | 2013-05-30 | 2014-01-31 | PG-PAI | Si | |
| 118,754 | 2,017 | JUPE1**011983 | 1983-01-17 | 36 | eacb96accfb85526769e8d590defbdb6 | NA | Hombre | 2017-05-22 | 2017-11-01 | PG-PAI | Si |
| 110,331 | 2,017 | JUPE1**011996 | 1996-01-17 | 23 | eacb96accfb85526769e8d590defbdb6 | NA | Hombre | 2016-11-10 | 2017-05-19 | PG-PR | Si |
| 91,037 | 2,016 | JUPE1**011983 | 1983-01-17 | 36 | eacb96accfb85526769e8d590defbdb6 | Hombre | 2015-11-16 | 2016-11-09 | PG-PAI | Si | |
| 102,395 | 2,016 | EGAR1**011960 | 1960-01-06 | 59 | ead1471bf9ce148f30b2d6079e87b38f | Hombre | 2016-08-31 | 2016-12-15 | PG-PAI | Si | |
| 66,020 | 2,015 | EGAR1**011990 | 1990-01-06 | 29 | ead1471bf9ce148f30b2d6079e87b38f | Hombre | 2013-10-25 | 2015-08-31 | PG-PAI | Si | |
| 114,544 | 2,017 | RILE1**031987 | 1987-03-05 | 32 | eaf2830746888d37bdec367b161a3797 | NA | Hombre | 2017-03-22 | 2017-04-10 | PG-PR | Si |
| 79,055 | 2,015 | RILE1**031987 | 1987-03-05 | 32 | eaf2830746888d37bdec367b161a3797 | Hombre | 2015-07-14 | 2015-08-11 | PG-PR | Si | |
| 41,346 | 2,013 | RILE1**061994 | 1994-06-27 | 25 | eaf2830746888d37bdec367b161a3797 | Hombre | 2013-06-27 | 2013-08-27 | PG-PR | Si | |
| 36,837 | 2,013 | RILE1**031987 | 1987-03-05 | 32 | eaf2830746888d37bdec367b161a3797 | Hombre | 2013-02-01 | 2013-02-27 | PG-PAI | Si | |
| 88,800 | 2,016 | FINO2**071966 | 1966-07-25 | 53 | eaf5f232ecfebd9e58c03bb7f2e70798 | Mujer | 2015-08-24 | 2016-12-05 | M-PAI | Si | |
| 76,025 | 2,015 | FIAM2**071977 | 1977-07-25 | 42 | eaf5f232ecfebd9e58c03bb7f2e70798 | Mujer | 2015-05-01 | 2015-06-30 | PG-PAB | Si | |
| 134,513 | 2,018 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | NA | Hombre | 2018-02-24 | 2018-03-30 | PG-PR | Si |
| 131,012 | 2,018 | MIPE1**091999 | 1999-09-16 | 20 | eaf995cb33d947ef6b637e0f89907f96 | NA | Hombre | 2017-11-06 | 2018-02-23 | PG-PAI | Si |
| 112,684 | 2,017 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | NA | Hombre | 2017-01-30 | 2017-07-25 | PG-PR | Si |
| 69,227 | 2,015 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | Hombre | 2014-10-06 | 2015-07-01 | PG-PR | Si | |
| 62,831 | 2,014 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | Hombre | 2014-09-25 | 2014-10-14 | PG-PAB | Si | |
| 42,421 | 2,013 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | Hombre | 2013-07-15 | 2013-08-22 | PG-PR | Si | |
| 10,961 | 2,011 | MIPE1**091982 | 1982-09-16 | 37 | eaf995cb33d947ef6b637e0f89907f96 | Hombre | 2010-08-11 | 2011-04-28 | PG-PAB | Si | |
| 10,374 | 2,011 | ALGO1**011980 | 1980-01-15 | 39 | eb4e8f9a743fdf73572b428e287d7540 | Hombre | 2010-04-23 | 2011-03-07 | PG-PR | Si | |
| 751 | 2,010 | ALGO1**011970 | 1970-01-15 | 49 | eb4e8f9a743fdf73572b428e287d7540 | Hombre | 2009-11-26 | 2010-02-05 | PG-PAI | Si | |
| 22,273 | 2,012 | SCMA2**091992 | 1992-09-20 | 27 | eb75f1fa2f650a712f3078cdc31d18e1 | Mujer | 2011-03-29 | 2013-01-31 | PG-PAI | Si | |
| 16,319 | 2,011 | SCMA2**031980 | 1980-03-20 | 39 | eb75f1fa2f650a712f3078cdc31d18e1 | Mujer | 2011-03-29 | 2011-06-30 | PG-PAB | Si | |
| 100,911 | 2,016 | STHE2**121984 | 1984-12-12 | 34 | eb8162541577c55da0e370e699a2f5c2 | Mujer | 2016-08-10 | 2016-12-12 | M-PAI | Si | |
| 94,691 | 2,016 | STHE1**121984 | 1984-12-12 | 34 | eb8162541577c55da0e370e699a2f5c2 | Hombre | 2016-02-02 | 2016-04-20 | M-PAI | Si | |
| 18,009 | 2,011 | STHE2**081992 | 1992-08-12 | 27 | eb8162541577c55da0e370e699a2f5c2 | Mujer | 2011-08-18 | 2011-10-03 | PG-PAI | Si | |
| 68,427 | 2,015 | MAHI2**101980 | 1980-10-22 | 39 | ebb00fe7ea189479e9e3c8125f8ac929 | Mujer | 2014-08-04 | 2015-07-27 | PG-PAB | Si | |
| 47,964 | 2,014 | MAHI2**101982 | 1982-10-22 | 37 | ebb00fe7ea189479e9e3c8125f8ac929 | Mujer | 2012-08-21 | 2014-02-19 | PG-PAI | Si | |
| 25,469 | 2,012 | JEAC1**011981 | 1981-01-03 | 38 | ebb21326593a7edc6956d3427d285cdb | Hombre | 2012-03-26 | 2012-10-05 | PG-PR | Si | |
| 22,170 | 2,012 | JEAC1**011988 | 1988-01-03 | 31 | ebb21326593a7edc6956d3427d285cdb | Hombre | 2011-09-07 | 2012-01-26 | PG-PAI | Si | |
| 12,121 | 2,011 | JEAC1**011988 | 1988-01-03 | 31 | ebb21326593a7edc6956d3427d285cdb | Hombre | 2010-10-18 | 2011-07-05 | PG-PR | Si | |
| 117,672 | 2,017 | LOCA2**121986 | 1986-12-15 | 32 | ebc9cb5bebfc95b01581e095ece75671 | NA | Mujer | 2017-05-19 | 2017-10-26 | PG-PAI | Si |
| 24,480 | 2,012 | LOCA2**121984 | 1984-12-15 | 34 | ebc9cb5bebfc95b01581e095ece75671 | Mujer | 2011-11-17 | 2012-10-31 | PG-PAB | Si | |
| 5,352 | 2,010 | IRRO2**051979 | 1979-05-02 | 40 | ebe0f4bbd73c65fce462efa9177666ba | Mujer | 2010-05-03 | 2010-08-26 | PG-PAI | Si | |
| 2,238 | 2,010 | IRRO2**051974 | 1974-05-02 | 45 | ebe0f4bbd73c65fce462efa9177666ba | Mujer | 2009-12-11 | 2010-05-03 | PG-PR | Si | |
| 158,087 | 2,019 | MIMI1**111973 | 1973-11-08 | 46 | ebe2291caeaf8ced037635158f95a6a7 | NA | Hombre | 2019-06-13 | NA | PG-PAI | Si |
| 127,405 | 2,018 | MIMI1**111973 | 1973-11-08 | 45 | ebe2291caeaf8ced037635158f95a6a7 | NA | Hombre | 2017-05-01 | 2018-03-14 | PG-PAI | Si |
| 90,341 | 2,016 | MIMI1**111973 | 1973-11-08 | 45 | ebe2291caeaf8ced037635158f95a6a7 | Hombre | 2015-10-16 | 2016-11-18 | PG-PAI | Si | |
| 67,563 | 2,015 | ARMO1**091971 | 1971-09-09 | 48 | ec5a0af631cb4d3e3606f2ebc8395b0a | Hombre | 2014-06-02 | 2015-04-21 | PG-PAI | Si | |
| 52,965 | 2,014 | ARMO1**091979 | 1979-09-09 | 40 | ec5a0af631cb4d3e3606f2ebc8395b0a | Hombre | 2013-12-26 | 2014-03-17 | PG-PAI | Si | |
| 107,559 | 2,017 | CUBR1**111974 | 1974-11-27 | 44 | ec79faa492739db71da3f1892f2a8f88 | NA | Hombre | 2016-05-30 | 2017-06-30 | PG-PAB | Si |
| 45,191 | 2,013 | CUBR1**111975 | 1975-11-27 | 43 | ec79faa492739db71da3f1892f2a8f88 | Hombre | 2012-10-22 | 2014-03-21 | PG-PAB | Si | |
| 87,097 | 2,016 | JUBA1**061952 | 1952-06-13 | 67 | ec89bb9b30ae015d3d6d284aefd36a18 | Hombre | 2015-04-01 | 2016-09-01 | PG-PAB | Si | |
| 36,028 | 2,013 | JUBA1**061969 | 1969-06-02 | 50 | ec89bb9b30ae015d3d6d284aefd36a18 | Hombre | 2013-01-01 | 2014-08-01 | Otro | No | |
| 53,611 | 2,014 | HEAL1**091968 | 1968-09-28 | 51 | ecb45c7beb59b7f4dd2c4664b56f00da | Hombre | 2014-01-03 | 2014-08-29 | PG-PAB | Si | |
| 52,326 | 2,014 | HEAL1**091968 | 1968-09-28 | 51 | ecb45c7beb59b7f4dd2c4664b56f00da | Hombre | 2013-11-22 | 2013-12-30 | PG-PAB | No | |
| 40,315 | 2,013 | HEAL1**091967 | 1967-09-28 | 52 | ecb45c7beb59b7f4dd2c4664b56f00da | Hombre | 2013-05-24 | 2013-07-01 | PG-PR | Si | |
| 39,121 | 2,013 | HEAL1**091968 | 1968-09-28 | 51 | ecb45c7beb59b7f4dd2c4664b56f00da | Hombre | 2010-10-29 | 2013-05-24 | PG-PAB | Si | |
| 10,119 | 2,011 | HEAL1**091968 | 1968-09-28 | 51 | ecb45c7beb59b7f4dd2c4664b56f00da | Hombre | 2010-01-26 | 2011-07-18 | PG-PAB | Si | |
| 157,491 | 2,019 | ALCA2**081977 | 1977-08-21 | 42 | ecf861d964b589ac9d756484be83ab7b | NA | Mujer | 2019-05-07 | NA | M-PR | Si |
| 109,956 | 2,017 | ALCA2**081977 | 1977-08-21 | 42 | ecf861d964b589ac9d756484be83ab7b | NA | Mujer | 2016-10-21 | 2017-08-10 | M-PAI | Si |
| 36,381 | 2,013 | ALCA2**081977 | 1977-08-21 | 42 | ecf861d964b589ac9d756484be83ab7b | Mujer | 2012-10-17 | 2013-05-08 | M-PAI | Si | |
| 15,705 | 2,011 | ALCA2**081987 | 1987-08-21 | 32 | ecf861d964b589ac9d756484be83ab7b | Mujer | 2011-04-20 | 2011-09-30 | M-PAI | Si | |
| 152,150 | 2,019 | CALU1**111977 | 1977-11-10 | 42 | ed6ac3c766d1f53f574c0afb8a3b58ad | NA | Hombre | 2019-01-24 | 2019-03-20 | PG-PAI | Si |
| 57,128 | 2,014 | CALU1**111977 | 1977-11-10 | 41 | ed6ac3c766d1f53f574c0afb8a3b58ad | Hombre | 2014-04-02 | 2014-06-17 | PG-PAI | Si | |
| 155,951 | 2,019 | JOGO1**041986 | 1986-04-01 | 33 | eda32a7f9d515c29b641949bb5e8933b | NA | Hombre | 2019-04-24 | 2019-06-14 | PG-PAI | Si |
| 101,996 | 2,016 | JOGO1**041996 | 1996-04-01 | 23 | eda32a7f9d515c29b641949bb5e8933b | Hombre | 2016-09-06 | 2017-01-03 | PG-PAI | Si | |
| 130,825 | 2,018 | ITAB1**021994 | 1994-02-12 | 25 | ee0664f1d45cc5a9199985df839e6881 | NA | Hombre | 2017-11-09 | 2018-08-14 | PG-PAI | Si |
| 90,265 | 2,016 | ITAB1**021992 | 1992-02-12 | 27 | ee0664f1d45cc5a9199985df839e6881 | Hombre | 2015-09-14 | 2016-06-30 | PG-PAI | Si | |
| 36,760 | 2,013 | FRPA2**081992 | 1992-08-14 | 27 | ee3a27342eca852c2cbb724dab9ee5a8 | Mujer | 2013-01-23 | 2013-03-06 | PG-PAB | Si | |
| 31,698 | 2,012 | FRPA2**081992 | 1992-08-14 | 27 | ee3a27342eca852c2cbb724dab9ee5a8 | Mujer | 2012-11-27 | 2012-12-10 | M-PR | Si | |
| 30,252 | 2,012 | FRPA2**081993 | 1993-08-03 | 26 | ee3a27342eca852c2cbb724dab9ee5a8 | Mujer | 2012-07-30 | 2012-11-22 | PG-PAB | Si | |
| 150,978 | 2,019 | ANCO1**071987 | 1987-07-01 | 32 | ee4fc1ad4a047cde367435a99ffbceaf | NA | Hombre | 2018-11-29 | 2019-05-10 | PG-PAI | Si |
| 108,031 | 2,017 | ANCO1**071987 | 1987-07-01 | 32 | ee4fc1ad4a047cde367435a99ffbceaf | NA | Hombre | 2016-06-30 | 2017-01-31 | PG-PAB | Si |
| 66,068 | 2,015 | ANCO1**111988 | 1988-11-29 | 30 | ee4fc1ad4a047cde367435a99ffbceaf | Hombre | 2013-11-13 | 2015-01-30 | PG-PAB | Si | |
| 23,008 | 2,012 | ANCO1**071987 | 1987-07-01 | 32 | ee4fc1ad4a047cde367435a99ffbceaf | Hombre | 2011-11-07 | 2012-06-05 | PG-PAB | Si | |
| 156,806 | 2,019 | CRUR1**051976 | 1976-05-10 | 43 | ee765e7f8f251b370f3733fe71c3fb3d | NA | Hombre | 2019-05-13 | NA | PG-PAI | Si |
| 146,407 | 2,019 | CRUR1**051976 | 1976-05-10 | 43 | ee765e7f8f251b370f3733fe71c3fb3d | NA | Hombre | 2017-12-18 | 2019-02-01 | PG-PR | Si |
| 43,967 | 2,013 | ERPA1**091982 | 1982-09-10 | 37 | ee765e7f8f251b370f3733fe71c3fb3d | Hombre | 2013-08-21 | 2013-11-30 | PG-PAB | Si | |
| 1,397 | 2,010 | CRUR1**051976 | 1976-05-10 | 43 | ee765e7f8f251b370f3733fe71c3fb3d | Hombre | 2009-02-02 | 2010-03-03 | PG-PAB | Si | |
| 37,232 | 2,013 | PACO2**081952 | 1952-08-15 | 67 | ee9295888f607d4d98b5902819cb3287 | Mujer | 2013-02-06 | 2013-05-24 | M-PR | Si | |
| 1,875 | 2,010 | PACO2**011958 | 1958-01-28 | 61 | ee9295888f607d4d98b5902819cb3287 | Mujer | 2010-01-08 | 2010-05-04 | M-PAI | Si | |
| 137,938 | 2,018 | TAAC2**111999 | 1999-11-13 | 19 | eea618bb2ad170d53b7d0aa0846afdf0 | NA | Mujer | 2018-05-23 | 2018-07-06 | M-PR | Si |
| 135,875 | 2,018 | TAAC2**111980 | 1980-11-15 | 38 | eea618bb2ad170d53b7d0aa0846afdf0 | NA | Mujer | 2018-02-09 | 2018-05-22 | PG-PAB | Si |
| 124,510 | 2,017 | TAAC2**111980 | 1980-11-15 | 38 | eea618bb2ad170d53b7d0aa0846afdf0 | NA | Mujer | 2017-10-30 | 2017-12-18 | M-PR | Si |
| 94,446 | 2,016 | TAAC2**111980 | 1980-11-15 | 38 | eea618bb2ad170d53b7d0aa0846afdf0 | Mujer | 2016-03-08 | 2016-08-26 | M-PAI | Si | |
| 148,028 | 2,019 | FRMA2**121994 | 1994-12-09 | 24 | eecf2ed7c09fcedad50ce2e74a92f9bb | NA | Mujer | 2018-06-21 | 2019-03-29 | M-PAI | Si |
| 134,409 | 2,018 | FRMA2**121994 | 1994-12-09 | 24 | eecf2ed7c09fcedad50ce2e74a92f9bb | NA | Mujer | 2018-02-15 | 2018-06-20 | M-PAI | Si |
| 43,357 | 2,013 | FRMA2**081994 | 1994-08-09 | 25 | eecf2ed7c09fcedad50ce2e74a92f9bb | Mujer | 2013-08-01 | 2014-01-01 | M-PAI | Si | |
| 129,653 | 2,018 | SECA1**011991 | 1991-01-31 | 28 | ef9c1892bac9495e745838db8ccfcc70 | NA | Hombre | 2017-09-11 | 2018-03-01 | PG-PAB | Si |
| 93,609 | 2,016 | SECA1**011991 | 1991-01-31 | 28 | ef9c1892bac9495e745838db8ccfcc70 | Hombre | 2016-01-18 | 2016-05-20 | PG-PAB | Si | |
| 75,486 | 2,015 | SECA1**011981 | 1981-01-31 | 38 | ef9c1892bac9495e745838db8ccfcc70 | Hombre | 2015-04-15 | 2015-11-02 | PG-PAI | Si | |
| 113,548 | 2,017 | SEBA1**051988 | 1988-05-06 | 31 | efa0718f4dea5b967de4bff24fd0d226 | NA | Hombre | 2017-01-09 | 2017-03-31 | PG-PAI | Si |
| 53,194 | 2,014 | SEBA1**111992 | 1992-11-18 | 26 | efa0718f4dea5b967de4bff24fd0d226 | Hombre | 2014-01-20 | 2014-03-12 | PG-PAI | No | |
| 112,766 | 2,017 | FRHE1**011999 | 1999-01-15 | 20 | efd9deabcaaa6be2bb0dfedf1faa4795 | NA | Hombre | 2017-01-30 | 2017-03-15 | PG-PAI | Si |
| 82,900 | 2,015 | FRHE1**071988 | 1988-07-15 | 31 | efd9deabcaaa6be2bb0dfedf1faa4795 | Hombre | 2015-10-19 | 2015-12-15 | PG-PAB | Si | |
| 93,918 | 2,016 | FLGU2**031988 | 1988-03-27 | 31 | f034030fad848ec324911cb7cbe6ec2a | Mujer | 2016-02-22 | 2016-12-01 | M-PR | Si | |
| 39,162 | 2,013 | FLGU2**031983 | 1983-03-27 | 36 | f034030fad848ec324911cb7cbe6ec2a | Mujer | 2013-04-25 | 2013-08-01 | PG-PAI | Si | |
| 35,617 | 2,013 | FLGU2**031983 | 1983-03-27 | 36 | f034030fad848ec324911cb7cbe6ec2a | Mujer | 2013-01-21 | 2013-04-01 | M-PR | Si | |
| 27,573 | 2,012 | FLGU2**031983 | 1983-03-27 | 36 | f034030fad848ec324911cb7cbe6ec2a | Mujer | 2012-06-25 | 2012-08-09 | M-PR | Si | |
| 12,953 | 2,011 | FLGU2**031983 | 1983-03-27 | 36 | f034030fad848ec324911cb7cbe6ec2a | Mujer | 2011-01-12 | 2011-11-11 | M-PR | Si | |
| 85,926 | 2,016 | PARO1**101974 | 1974-10-23 | 45 | f0b1003b82ec6f34802d663d8b432da8 | Hombre | 2014-09-22 | 2016-05-05 | PG-PAI | Si | |
| 27,447 | 2,012 | PARO1**101977 | 1977-10-23 | 42 | f0b1003b82ec6f34802d663d8b432da8 | Hombre | 2012-06-15 | 2013-01-14 | PG-PAB | Si | |
| 127,527 | 2,018 | MAJA1**051988 | 1988-05-04 | 31 | f0d2dec2852c70da276fe8740596a5f0 | NA | Hombre | 2017-05-03 | 2018-08-01 | PG-PAI | Si |
| 110,223 | 2,017 | MAJA1**051968 | 1968-05-04 | 51 | f0d2dec2852c70da276fe8740596a5f0 | NA | Hombre | 2016-11-04 | 2017-04-17 | PG-PR | Si |
| 100,024 | 2,016 | MAJA1**051968 | 1968-05-04 | 51 | f0d2dec2852c70da276fe8740596a5f0 | Hombre | 2016-06-01 | 2016-11-03 | PG-PAI | Si | |
| 99,764 | 2,016 | CRRI1**051989 | 1989-05-17 | 30 | f0db5434dbc9e92d2339f5f59b550425 | Hombre | 2016-07-27 | 2016-08-14 | PG-PR | Si | |
| 97,504 | 2,016 | CRRI1**051989 | 1989-05-17 | 30 | f0db5434dbc9e92d2339f5f59b550425 | Hombre | 2016-05-18 | 2016-06-06 | PG-PR | Si | |
| 30,691 | 2,012 | CRRI1**051989 | 1989-05-17 | 30 | f0db5434dbc9e92d2339f5f59b550425 | Hombre | 2012-10-19 | 2012-10-29 | PG-PR | Si | |
| 28,833 | 2,012 | CRRI1**051984 | 1984-05-17 | 35 | f0db5434dbc9e92d2339f5f59b550425 | Hombre | 2012-07-05 | 2012-09-28 | PG-PAB | Si | |
| 112,821 | 2,017 | CLGA1**061986 | 1986-06-15 | 33 | f0f0d5117f82eaa0a6cbd1d48cfea43e | NA | Hombre | 2017-01-03 | 2017-03-31 | PG-PAI | Si |
| 100,393 | 2,016 | CLGA1**061996 | 1996-06-15 | 23 | f0f0d5117f82eaa0a6cbd1d48cfea43e | Hombre | 2016-08-01 | 2016-12-29 | PG-PAI | Si | |
| 48,712 | 2,014 | CLGA1**061986 | 1986-06-15 | 33 | f0f0d5117f82eaa0a6cbd1d48cfea43e | Hombre | 2013-04-05 | 2014-02-26 | PG-PAI | Si | |
| 162,895 | 2,019 | MALE2**111996 | 1996-11-11 | 23 | f0f988d124579522d46865a22f4a2942 | NA | Mujer | 2019-10-07 | NA | PG-PAB | Si |
| 156,460 | 2,019 | MALE2**111996 | 1996-11-11 | 23 | f0f988d124579522d46865a22f4a2942 | NA | Mujer | 2019-04-03 | 2019-10-02 | M-PR | Si |
| 149,849 | 2,019 | MALE2**111996 | 1996-11-11 | 23 | f0f988d124579522d46865a22f4a2942 | NA | Mujer | 2018-10-15 | 2019-02-06 | M-PR | Si |
| 142,382 | 2,018 | MALE2**111986 | 1986-11-11 | 32 | f0f988d124579522d46865a22f4a2942 | NA | Mujer | 2018-07-17 | 2018-10-12 | PG-PAI | Si |
| 34,844 | 2,013 | ELGR2**031991 | 1991-03-03 | 28 | f10a0720f991874eb71b7c620c6c585e | Mujer | 2012-11-20 | 2013-04-18 | M-PR | Si | |
| 25,239 | 2,012 | ELGA2**031991 | 1991-03-14 | 28 | f10a0720f991874eb71b7c620c6c585e | Mujer | 2012-01-09 | 2012-11-23 | M-PAI | Si | |
| 14,257 | 2,011 | ELGA2**031992 | 1992-03-14 | 27 | f10a0720f991874eb71b7c620c6c585e | Mujer | 2011-03-01 | 2011-06-16 | M-PR | Si | |
| 73,914 | 2,015 | RURI1**051970 | 1970-05-14 | 49 | f1172ff524da736b32de1b5e1c39a3f5 | Hombre | 2015-03-17 | 2015-11-03 | PG-PAI | Si | |
| 16 | 2,010 | RURI1**051982 | 1982-05-14 | 37 | f1172ff524da736b32de1b5e1c39a3f5 | Hombre | 2009-08-25 | 2010-07-01 | PG-PR | Si | |
| 88,602 | 2,016 | AMMU2**121972 | 1972-12-11 | 46 | f140297cfdfc76ef101648e363354c06 | Mujer | 2015-07-08 | 2016-05-12 | M-PR | No | |
| 76,953 | 2,015 | AMMU2**121972 | 1972-12-11 | 46 | f140297cfdfc76ef101648e363354c06 | Mujer | 2015-05-26 | 2015-06-08 | M-PR | Si | |
| 75,646 | 2,015 | AMMU2**121972 | 1972-12-11 | 46 | f140297cfdfc76ef101648e363354c06 | Mujer | 2015-03-12 | 2015-05-25 | PG-PAI | Si | |
| 57,053 | 2,014 | AMMU2**041972 | 1972-04-11 | 47 | f140297cfdfc76ef101648e363354c06 | Mujer | 2014-04-21 | 2014-07-01 | PG-PAI | Si | |
| 29,632 | 2,012 | AMMU2**121972 | 1972-12-11 | 46 | f140297cfdfc76ef101648e363354c06 | Mujer | 2012-08-20 | 2012-12-03 | PG-PAI | Si | |
| 102,052 | 2,016 | RICA1**121988 | 1988-12-27 | 30 | f146456726438aab42b0d84fce0d8ae3 | Hombre | 2016-09-26 | 2016-10-25 | PG-PR | Si | |
| 20,947 | 2,012 | RICA1**011992 | 1992-01-06 | 27 | f146456726438aab42b0d84fce0d8ae3 | Hombre | 2011-01-03 | 2013-01-01 | PG-PAB | Si | |
| 89,021 | 2,016 | PACO1**101965 | 1965-10-11 | 54 | f1afdbd6fc934f65d6c77ab9e4d32530 | Hombre | 2015-08-25 | 2016-11-15 | PG-PR | Si | |
| 28,980 | 2,012 | PACO1**111965 | 1965-11-11 | 53 | f1afdbd6fc934f65d6c77ab9e4d32530 | Hombre | 2012-08-01 | 2012-08-01 | Otro | No | |
| 156,330 | 2,019 | VISA2**111957 | 1957-11-12 | 62 | f20ad60e878371e58225ab5c3454e72c | NA | Mujer | 2019-02-25 | 2019-08-01 | PG-PAI | Si |
| 86,505 | 2,016 | VISA2**111957 | 1957-11-12 | 61 | f20ad60e878371e58225ab5c3454e72c | Mujer | 2015-02-12 | 2016-04-01 | M-PR | Si | |
| 37,636 | 2,013 | VISA2**111957 | 1957-11-12 | 61 | f20ad60e878371e58225ab5c3454e72c | Mujer | 2013-02-18 | 2014-02-28 | PG-PAI | Si | |
| 14,595 | 2,011 | VISA2**111957 | 1957-11-12 | 61 | f20ad60e878371e58225ab5c3454e72c | Mujer | 2010-10-19 | 2011-05-27 | M-PR | No | |
| 148,143 | 2,019 | GIFR2**051971 | 1971-05-18 | 48 | f213a0411ea25ea2ca6e080b63508d2c | NA | Mujer | 2018-07-09 | 2019-01-15 | M-PR | Si |
| 10,245 | 2,011 | GIFR2**051975 | 1975-05-18 | 44 | f213a0411ea25ea2ca6e080b63508d2c | Mujer | 2010-02-26 | 2011-02-25 | PG-PAB | Si | |
| 133,558 | 2,018 | CRMA1**111978 | 1978-11-01 | 41 | f23e5679e95025ab6d1a69330c3e2f3b | NA | Hombre | 2017-12-20 | 2018-06-01 | PG-PAI | Si |
| 60,459 | 2,014 | CRMA1**111978 | 1978-11-01 | 41 | f23e5679e95025ab6d1a69330c3e2f3b | Hombre | 2014-07-11 | 2014-09-22 | PG-PAI | Si | |
| 51,608 | 2,014 | CRMA1**111978 | 1978-11-10 | 40 | f23e5679e95025ab6d1a69330c3e2f3b | Hombre | 2013-10-01 | 2014-04-21 | PG-PAI | Si | |
| 39,865 | 2,013 | CRMA1**111978 | 1978-11-01 | 41 | f23e5679e95025ab6d1a69330c3e2f3b | Hombre | 2013-05-27 | 2013-09-02 | PG-PAI | Si | |
| 128,472 | 2,018 | PASO1**091959 | 1959-09-16 | 60 | f290f880da72490aa426f50489656954 | NA | Hombre | 2017-07-28 | 2018-01-31 | PG-PR | Si |
| 109,762 | 2,017 | PASO1**091996 | 1996-09-09 | 23 | f290f880da72490aa426f50489656954 | NA | Hombre | 2016-10-24 | 2017-07-27 | PG-PAI | Si |
| 90,990 | 2,016 | PASO1**091959 | 1959-09-26 | 60 | f290f880da72490aa426f50489656954 | Hombre | 2015-11-10 | 2016-01-21 | PG-PAI | Si | |
| 111,190 | 2,017 | HEVI1**011996 | 1996-01-29 | 23 | f2af6029931a1052869c0a0630d8834d | NA | Hombre | 2016-12-01 | 2017-08-28 | PG-PAB | Si |
| 92,071 | 2,016 | HEVI1**011946 | 1946-01-29 | 73 | f2af6029931a1052869c0a0630d8834d | Hombre | 2016-01-04 | 2016-04-01 | PG-PAB | Si | |
| 147,062 | 2,019 | VIRA2**031980 | 1980-03-01 | 39 | f2c55213e9bc0b479df26153a8c61784 | NA | Mujer | 2018-04-16 | 2019-04-30 | PG-PAB | Si |
| 106,740 | 2,017 | VIRA2**031996 | 1996-03-01 | 23 | f2c55213e9bc0b479df26153a8c61784 | NA | Mujer | 2016-03-30 | 2017-04-28 | PG-PAB | Si |
| 49,416 | 2,014 | DANA1**101983 | 1983-10-15 | 36 | f2ce3898de3228aa1ca915fd7acf3fe1 | Hombre | 2013-06-12 | 2014-03-26 | PG-PAI | Si | |
| 13,512 | 2,011 | DANA1**101983 | 1983-10-15 | 36 | f2ce3898de3228aa1ca915fd7acf3fe1 | Hombre | 2010-11-26 | 2011-04-29 | PG-PAI | Si | |
| 9,712 | 2,010 | DANA1**111983 | 1983-11-26 | 35 | f2ce3898de3228aa1ca915fd7acf3fe1 | Hombre | 2010-12-01 | 2011-02-01 | PG-PAB | Si | |
| 43,990 | 2,013 | SEMO1**061984 | 1984-06-13 | 35 | f2d88d021fcdc2c54d5a5285a4e0e92b | Hombre | 2013-08-19 | 2013-10-30 | PG-PAI | Si | |
| 17,675 | 2,011 | SEMO1**031982 | 1982-03-06 | 37 | f2d88d021fcdc2c54d5a5285a4e0e92b | Hombre | 2011-06-29 | 2011-08-31 | PG-PAI | Si | |
| 12,515 | 2,011 | SEMO1**031982 | 1982-03-06 | 37 | f2d88d021fcdc2c54d5a5285a4e0e92b | Hombre | 2010-12-03 | 2011-02-14 | PG-PAI | Si | |
| 92,589 | 2,016 | RUGO1**011987 | 1987-01-02 | 32 | f34ac5e9c0d63f8dd8370cd640e55c7d | Hombre | 2016-01-05 | 2016-04-20 | PG-PR | Si | |
| 23,905 | 2,012 | RUGO1**121987 | 1987-12-02 | 31 | f34ac5e9c0d63f8dd8370cd640e55c7d | Hombre | 2011-12-22 | 2012-03-15 | PG-PAI | Si | |
| 145,707 | 2,019 | JORE1**011971 | 1971-01-20 | 48 | f36d93a301add6974d849fbbb5879b24 | NA | Hombre | 2015-09-11 | NA | PG-PAI | Si |
| 68,646 | 2,015 | JORE1**011970 | 1970-01-20 | 49 | f36d93a301add6974d849fbbb5879b24 | Hombre | 2014-09-09 | 2015-03-02 | PG-PAI | Si | |
| 156,200 | 2,019 | DAZA1**101979 | 1979-10-13 | 40 | f3982138069c33f9948e8f6ea20a43b5 | NA | Hombre | 2019-04-29 | NA | PG-PAI | Si |
| 26,916 | 2,012 | DAZA1**101974 | 1974-10-13 | 45 | f3982138069c33f9948e8f6ea20a43b5 | Hombre | 2012-05-29 | 2012-10-18 | PG-PAB | Si | |
| 138,012 | 2,018 | SAGO2**011967 | 1967-01-25 | 52 | f3f2e8429eac8e8c5226fb38ae923897 | NA | Mujer | 2018-05-22 | 2018-08-31 | PG-PAI | Si |
| 132,979 | 2,018 | SAGO2**011963 | 1963-01-25 | 56 | f3f2e8429eac8e8c5226fb38ae923897 | NA | Mujer | 2018-01-04 | 2018-03-28 | PG-PAB | Si |
| 303 | 2,010 | SAGO2**011967 | 1967-01-25 | 52 | f3f2e8429eac8e8c5226fb38ae923897 | Mujer | 2008-06-25 | 2010-09-01 | PG-PAB | Si | |
| 20,199 | 2,011 | EDOL1**041988 | 1988-04-13 | 31 | f4255a4f6d01baa4dac817584f4b4cd7 | Hombre | 2011-07-05 | NA | PG-PR | No | |
| 15,672 | 2,011 | MIES1**101990 | 1990-10-23 | 29 | f4255a4f6d01baa4dac817584f4b4cd7 | Hombre | 2011-01-12 | NA | PG-PR | No | |
| 11,071 | 2,011 | MIES1**101990 | 1990-10-23 | 29 | f4255a4f6d01baa4dac817584f4b4cd7 | Hombre | 2010-08-20 | 2011-01-24 | PG-PAB | Si | |
| 53,751 | 2,014 | PAMO1**121984 | 1984-12-10 | 34 | f45772cb607d4301222d3036b044247b | Hombre | 2014-01-21 | 2014-04-24 | PG-PR | Si | |
| 44,689 | 2,013 | PAMO1**101984 | 1984-10-10 | 35 | f45772cb607d4301222d3036b044247b | Hombre | 2013-09-03 | 2014-01-21 | PG-PAB | Si | |
| 136,839 | 2,018 | MAFU1**081956 | 1956-08-23 | 63 | f4b27183d2c9aadce530d5232a10aed7 | NA | Hombre | 2018-04-10 | 2019-01-02 | PG-PAB | Si |
| 75,548 | 2,015 | MAFU1**081956 | 1956-08-23 | 63 | f4b27183d2c9aadce530d5232a10aed7 | Hombre | 2015-03-16 | 2015-12-17 | PG-PAI | Si | |
| 47,838 | 2,014 | MAFU1**081963 | 1963-08-23 | 56 | f4b27183d2c9aadce530d5232a10aed7 | Hombre | 2011-04-14 | 2014-03-07 | PG-PAB | Si | |
| 150,146 | 2,019 | GLAR2**081977 | 1977-08-24 | 42 | f501b527f08d559148c9a750c964b5f5 | NA | Mujer | 2018-10-08 | NA | M-PAI | Si |
| 128,393 | 2,018 | GLAR2**051977 | 1977-05-24 | 42 | f501b527f08d559148c9a750c964b5f5 | NA | Mujer | 2017-07-12 | 2018-03-16 | M-PAI | Si |
| 99,577 | 2,016 | GLAR2**081979 | 1979-08-24 | 40 | f501b527f08d559148c9a750c964b5f5 | Mujer | 2016-07-14 | 2016-12-05 | M-PAI | Si | |
| 53,962 | 2,014 | GLAR2**081977 | 1977-08-24 | 42 | f501b527f08d559148c9a750c964b5f5 | Mujer | 2013-12-30 | 2014-01-03 | M-PR | Si | |
| 49,390 | 2,014 | GLAN2**081977 | 1977-08-24 | 42 | f501b527f08d559148c9a750c964b5f5 | Mujer | 2013-06-17 | 2014-01-27 | PG-PAB | Si | |
| 162,957 | 2,019 | JACO1**111966 | 1966-11-08 | 53 | f5a5c2f82fd2b22443b3df116ff7843d | NA | Hombre | 2019-08-09 | NA | PG-PAI | Si |
| 155,868 | 2,019 | JACO1**111966 | 1966-11-08 | 53 | f5a5c2f82fd2b22443b3df116ff7843d | NA | Hombre | 2019-04-03 | 2019-06-17 | PG-PAI | Si |
| 142,459 | 2,018 | JACO1**111966 | 1966-11-08 | 52 | f5a5c2f82fd2b22443b3df116ff7843d | NA | Hombre | 2018-09-12 | 2019-02-01 | PG-PAI | Si |
| 126,570 | 2,018 | JACO1**111966 | 1966-11-08 | 52 | f5a5c2f82fd2b22443b3df116ff7843d | NA | Hombre | 2017-01-09 | 2018-09-11 | PG-PR | Si |
| 103,839 | 2,016 | JACO1**111966 | 1966-11-08 | 52 | f5a5c2f82fd2b22443b3df116ff7843d | Hombre | 2016-10-24 | 2017-01-02 | PG-PAI | Si | |
| 38,014 | 2,013 | PACI1**071985 | 1985-07-06 | 34 | f5bf3ad03561a0960643e1def69fab74 | Hombre | 2013-03-25 | 2013-08-22 | PG-PAI | Si | |
| 24,482 | 2,012 | PACI1**071992 | 1992-07-07 | 27 | f5bf3ad03561a0960643e1def69fab74 | Hombre | 2011-03-04 | 2012-03-05 | PG-PAI | Si | |
| 21,166 | 2,012 | PACI1**071985 | 1985-07-06 | 34 | f5bf3ad03561a0960643e1def69fab74 | Hombre | 2011-03-04 | 2012-01-01 | PG-PAI | Si | |
| 108,760 | 2,017 | CRMA1**031996 | 1996-03-03 | 23 | f5bfdb3a14c0e6dc6edb5e662ef9608a | NA | Hombre | 2016-08-19 | 2017-12-18 | PG-PAI | Si |
| 68,323 | 2,015 | CRMA1**031978 | 1978-03-28 | 41 | f5bfdb3a14c0e6dc6edb5e662ef9608a | Hombre | 2014-08-25 | 2015-09-04 | PG-PAI | Si | |
| 47,907 | 2,014 | CRMA1**031978 | 1978-03-28 | 41 | f5bfdb3a14c0e6dc6edb5e662ef9608a | Hombre | 2012-07-09 | 2014-02-06 | PG-PAI | Si | |
| 110,455 | 2,017 | CRMO1**121985 | 1985-12-15 | 33 | f5de77f087322c02a8c32193f05560e0 | NA | Hombre | 2016-11-16 | 2017-11-01 | PG-PR | Si |
| 72,873 | 2,015 | CRMO1**121983 | 1983-12-15 | 35 | f5de77f087322c02a8c32193f05560e0 | Hombre | 2015-02-11 | 2015-04-10 | PG-PAI | Si | |
| 676 | 2,010 | CRMO1**011980 | 1980-01-15 | 39 | f5de77f087322c02a8c32193f05560e0 | Hombre | 2009-11-25 | 2010-04-09 | PG-PAI | Si | |
| 106,006 | 2,017 | ARRO1**111985 | 1985-11-16 | 33 | f5f06ad1a6912e36dde29a38f784c10c | NA | Hombre | 2015-10-30 | 2017-05-01 | PG-PR | Si |
| 72,153 | 2,015 | ARRO1**021985 | 1985-02-16 | 34 | f5f06ad1a6912e36dde29a38f784c10c | Hombre | 2014-12-17 | 2015-02-09 | PG-PAB | Si | |
| 23,225 | 2,012 | ARRO1**111985 | 1985-11-16 | 33 | f5f06ad1a6912e36dde29a38f784c10c | Hombre | 2011-11-26 | 2013-01-22 | PG-PR | Si | |
| 54,345 | 2,014 | FEAR1**081990 | 1990-08-20 | 29 | f5f876729aec2b936b32516b1f4d9289 | Hombre | 2014-02-06 | 2014-03-20 | PG-PR | Si | |
| 9,361 | 2,010 | FEAR1**081989 | 1989-08-20 | 30 | f5f876729aec2b936b32516b1f4d9289 | Hombre | 2010-11-05 | 2010-11-11 | PG-PR | Si | |
| 159,545 | 2,019 | CRDI1**081984 | 1984-08-08 | 35 | f5fe3e230080424d18576f6abae1b9b0 | NA | Hombre | 2019-07-04 | 2019-09-30 | PG-PAI | Si |
| 134,070 | 2,018 | CRDI1**081984 | 1984-08-19 | 35 | f5fe3e230080424d18576f6abae1b9b0 | NA | Hombre | 2018-02-05 | 2018-03-29 | PG-PAI | Si |
| 130,522 | 2,018 | CRDI1**081986 | 1986-08-19 | 33 | f5fe3e230080424d18576f6abae1b9b0 | NA | Hombre | 2017-10-31 | 2018-01-24 | PG-PR | Si |
| 121,973 | 2,017 | CRDI1**081986 | 1986-08-19 | 33 | f5fe3e230080424d18576f6abae1b9b0 | NA | Hombre | 2017-08-29 | 2017-10-30 | PG-PAI | Si |
| 6,512 | 2,010 | CRDI1**081984 | 1984-08-19 | 35 | f5fe3e230080424d18576f6abae1b9b0 | Hombre | 2010-07-01 | 2010-08-31 | PG-PAB | No | |
| 126,353 | 2,018 | JOKU1**101996 | 1996-10-01 | 23 | f601c5d12a71832064eeb26ce0efb157 | NA | Hombre | 2016-11-03 | 2018-10-26 | PG-PAI | Si |
| 85,680 | 2,016 | JOKU1**101966 | 1966-10-01 | 53 | f601c5d12a71832064eeb26ce0efb157 | Hombre | 2014-06-02 | 2016-06-06 | PG-PAI | Si | |
| 114,204 | 2,017 | ALBE1**021984 | 1984-02-20 | 35 | f75b6b43262a39d839d459e492487fb7 | NA | Hombre | 2017-02-21 | 2017-12-13 | PG-PAI | Si |
| 89,846 | 2,016 | ALBE2**121984 | 1984-12-20 | 34 | f75b6b43262a39d839d459e492487fb7 | Mujer | 2015-09-24 | 2016-01-18 | PG-PAB | Si | |
| 24,063 | 2,012 | VEOR2**061975 | 1975-06-19 | 44 | f769a432775874d3372bbd651e2b8550 | Mujer | 2012-01-11 | 2012-04-18 | PG-PAI | Si | |
| 23,044 | 2,012 | VEOR2**071978 | 1978-07-19 | 41 | f769a432775874d3372bbd651e2b8550 | Mujer | 2011-11-18 | 2012-01-31 | PG-PAB | Si | |
| 154,630 | 2,019 | GAVE1**111994 | 1994-11-12 | 25 | f76d8b5fe586822526d0d30526585230 | NA | Hombre | 2019-03-11 | 2019-07-31 | PG-PR | Si |
| 137,848 | 2,018 | GAVE1**111994 | 1994-11-12 | 24 | f76d8b5fe586822526d0d30526585230 | NA | Hombre | 2018-05-30 | 2018-09-11 | PG-PR | Si |
| 136,895 | 2,018 | GAVE1**111994 | 1994-11-12 | 24 | f76d8b5fe586822526d0d30526585230 | NA | Hombre | 2018-04-10 | 2018-05-29 | PG-PAI | Si |
| 162,531 | 2,019 | NEFI1**041963 | 1963-04-23 | 56 | f78184967158ac095e37d9ab997d25b8 | NA | Hombre | 2019-10-01 | NA | PG-PAB | Si |
| 106,125 | 2,017 | NEFI1**041963 | 1963-04-23 | 56 | f78184967158ac095e37d9ab997d25b8 | NA | Hombre | 2015-11-10 | 2017-04-28 | PG-PAI | Si |
| 33,241 | 2,013 | NEFI1**041963 | 1963-04-23 | 56 | f78184967158ac095e37d9ab997d25b8 | Hombre | 2012-06-20 | 2013-05-24 | PG-PAI | Si | |
| 2,737 | 2,010 | NEFI1**041973 | 1973-04-23 | 46 | f78184967158ac095e37d9ab997d25b8 | Hombre | 2009-07-10 | 2010-02-12 | PG-PAI | Si | |
| 136,797 | 2,018 | JUGA1**101984 | 1984-10-09 | 35 | f7b25cc747cf5beead9c5a7522a49354 | NA | Hombre | 2018-04-05 | 2018-11-16 | PG-PR | No |
| 134,590 | 2,018 | JUGA1**101999 | 1999-10-09 | 20 | f7b25cc747cf5beead9c5a7522a49354 | NA | Hombre | 2018-02-12 | 2018-04-04 | PG-PAI | Si |
| 97,429 | 2,016 | JUGA1**101984 | 1984-10-09 | 35 | f7b25cc747cf5beead9c5a7522a49354 | Hombre | 2016-05-03 | 2016-07-04 | PG-PAI | Si | |
| 86,165 | 2,016 | MARI1**101974 | 1974-10-09 | 45 | f7f30a89ffebbf3812838acae98c89f8 | Hombre | 2014-12-02 | 2016-07-30 | PG-PAI | Si | |
| 48,682 | 2,014 | MARI2**051964 | 1964-05-06 | 55 | f7f30a89ffebbf3812838acae98c89f8 | Mujer | 2013-04-01 | 2014-09-30 | PG-PAI | Si | |
| 80,678 | 2,015 | KAAL2**101982 | 1982-10-07 | 37 | f80da5caa44166e0fe847a8127eeee9b | Mujer | 2015-08-24 | 2015-09-09 | M-PR | Si | |
| 51,183 | 2,014 | KAAL2**101982 | 1982-10-07 | 37 | f80da5caa44166e0fe847a8127eeee9b | Mujer | 2013-10-21 | 2014-07-31 | M-PR | Si | |
| 11,270 | 2,011 | KAAL2**101982 | 1982-10-07 | 37 | f80da5caa44166e0fe847a8127eeee9b | Mujer | 2010-09-10 | 2011-08-01 | PG-PAI | Si | |
| 4,333 | 2,010 | KAAL2**101981 | 1981-10-07 | 38 | f80da5caa44166e0fe847a8127eeee9b | Mujer | 2009-05-18 | 2010-08-05 | PG-PAI | No | |
| 50,890 | 2,014 | YEZA2**071969 | 1969-07-09 | 50 | f8301dfc83fd4d8e849aa25579f53e3d | Mujer | 2013-09-27 | 2014-06-02 | M-PR | Si | |
| 21,984 | 2,012 | JEZA2**061969 | 1969-06-09 | 50 | f8301dfc83fd4d8e849aa25579f53e3d | Mujer | 2011-08-08 | 2012-02-06 | PG-PAI | Si | |
| 24,445 | 2,012 | YEZA1**071969 | 1969-07-09 | 50 | f8301dfc83fd4d8e849aa25579f53e3d | Hombre | 2011-05-12 | 2012-06-15 | PG-PAI | Si | |
| 11,093 | 2,011 | YEZA2**071979 | 1979-07-09 | 40 | f8301dfc83fd4d8e849aa25579f53e3d | Mujer | 2010-08-12 | 2011-03-21 | M-PR | Si | |
| 5,591 | 2,010 | JESA2**071969 | 1969-07-09 | 50 | f8301dfc83fd4d8e849aa25579f53e3d | Mujer | 2010-05-17 | 2010-09-08 | PG-PAI | Si | |
| 95,661 | 2,016 | LULI1**011996 | 1996-01-25 | 23 | f8803d0b16ea73d6e6181f36381c11c3 | Hombre | 2016-04-09 | 2016-07-13 | PG-PAB | Si | |
| 86,866 | 2,016 | LULE1**011999 | 1999-01-25 | 20 | f8803d0b16ea73d6e6181f36381c11c3 | Hombre | 2015-03-02 | 2016-03-11 | PG-PAB | Si | |
| 157,348 | 2,019 | JUVI1**071981 | 1981-07-22 | 38 | f88604497c807a5c925d44804b6332ac | NA | Hombre | 2019-05-15 | NA | PG-PAI | Si |
| 126,466 | 2,018 | JUVI1**071981 | 1981-07-22 | 38 | f88604497c807a5c925d44804b6332ac | NA | Hombre | 2016-10-21 | 2018-04-02 | PG-PAI | Si |
| 43,596 | 2,013 | JUVI1**071994 | 1994-07-22 | 25 | f88604497c807a5c925d44804b6332ac | Hombre | 2013-08-05 | 2013-09-12 | PG-PR | Si | |
| 12,091 | 2,011 | JUVI1**071981 | 1981-07-22 | 38 | f88604497c807a5c925d44804b6332ac | Hombre | 2010-11-25 | 2011-01-24 | PG-PR | Si | |
| 73,363 | 2,015 | CACI2**061985 | 1985-06-12 | 34 | f95045707287d7344c287ea1e604fe7e | Mujer | 2015-03-03 | 2015-03-27 | M-PAI | Si | |
| 69,205 | 2,015 | CACI2**121985 | 1985-12-12 | 33 | f95045707287d7344c287ea1e604fe7e | Mujer | 2014-10-03 | 2015-03-02 | PG-PAI | Si | |
| 32,644 | 2,013 | MODA2**011980 | 1980-01-17 | 39 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2012-03-06 | 2013-07-05 | M-PAI | Si | |
| 17,945 | 2,011 | MADA2**121980 | 1980-12-17 | 38 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2011-06-23 | 2011-11-18 | M-PR | Si | |
| 16,105 | 2,011 | CADA2**011980 | 1980-01-17 | 39 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2011-05-26 | 2011-06-23 | PG-PAI | Si | |
| 14,061 | 2,011 | CADA2**011990 | 1990-01-13 | 29 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2011-02-25 | 2011-03-17 | M-PAI | Si | |
| 7,740 | 2,010 | MODA2**011980 | 1980-01-17 | 39 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2010-09-17 | 2010-10-22 | PG-PAI | Si | |
| 2,400 | 2,010 | MODA2**011980 | 1980-01-17 | 39 | f962de15f9497f826905d858dbabd4b4 | Mujer | 2010-01-12 | 2010-08-10 | M-PR | Si | |
| 134,275 | 2,018 | JUVA1**021964 | 1964-02-07 | 55 | f975afc326449b983c33275f50a8749a | NA | Hombre | 2017-07-10 | 2018-07-26 | PG-PAI | Si |
| 10,617 | 2,011 | JUVA1**111964 | 1964-11-07 | 54 | f975afc326449b983c33275f50a8749a | Hombre | 2010-06-30 | 2011-10-07 | PG-PR | Si | |
| 41,814 | 2,013 | HERA2**081984 | 1984-08-11 | 35 | f9cded5aeb18759282c3690253313599 | Mujer | 2013-07-05 | 2013-11-27 | M-PAI | Si | |
| 26,166 | 2,012 | HERA2**081984 | 1984-08-11 | 35 | f9cded5aeb18759282c3690253313599 | Mujer | 2012-04-02 | 2013-03-29 | M-PAI | Si | |
| 13,604 | 2,011 | HEVA2**111984 | 1984-11-11 | 34 | f9cded5aeb18759282c3690253313599 | Mujer | 2011-02-16 | 2011-12-01 | M-PAI | Si | |
| 27,080 | 2,012 | BOVE1**021982 | 1982-02-04 | 37 | f9d4ff0cf2aa0b98bf33da03ced80b05 | Hombre | 2012-05-22 | 2012-12-03 | PG-PAI | Si | |
| 12,809 | 2,011 | BOVE1**021981 | 1981-02-04 | 38 | f9d4ff0cf2aa0b98bf33da03ced80b05 | Hombre | 2010-11-16 | 2011-03-01 | PG-PAB | Si | |
| 150,917 | 2,019 | MIFR1**071995 | 1995-07-15 | 24 | fa567c4827f1331be459984c028b548b | NA | Hombre | 2018-11-30 | 2019-05-31 | PG-PAB | Si |
| 129,203 | 2,018 | MIFR1**051994 | 1994-05-19 | 25 | fa567c4827f1331be459984c028b548b | NA | Hombre | 2017-09-01 | 2018-06-29 | PG-PAB | Si |
| 128,892 | 2,018 | DAPA1**031985 | 1985-03-10 | 34 | faad0f19268fec8f8ae8ea45235aa9c1 | NA | Hombre | 2017-08-24 | 2018-03-21 | PG-PR | Si |
| 109,643 | 2,017 | DAPA1**031986 | 1986-03-10 | 33 | faad0f19268fec8f8ae8ea45235aa9c1 | NA | Hombre | 2016-09-26 | 2017-08-23 | PG-PAI | Si |
| 74,317 | 2,015 | DAPA1**031986 | 1986-03-10 | 33 | faad0f19268fec8f8ae8ea45235aa9c1 | Hombre | 2015-03-12 | 2015-05-29 | PG-PAB | Si | |
| 22,461 | 2,012 | DAPA1**031986 | 1986-03-10 | 33 | faad0f19268fec8f8ae8ea45235aa9c1 | Hombre | 2011-09-21 | 2012-03-30 | PG-PAB | Si | |
| 72,569 | 2,015 | MINU2**031984 | 1984-03-03 | 35 | fabc8d7d593207b5a9031b13e3eebbb6 | Mujer | 2015-02-04 | 2015-08-18 | M-PAI | Si | |
| 70,633 | 2,015 | MINU2**031984 | 1984-03-03 | 35 | fabc8d7d593207b5a9031b13e3eebbb6 | Mujer | 2014-12-01 | 2015-01-30 | PG-PAI | Si | |
| 24,590 | 2,012 | MINU2**031984 | 1984-03-03 | 35 | fabc8d7d593207b5a9031b13e3eebbb6 | Mujer | 2012-01-27 | 2012-05-14 | PG-PAB | Si | |
| 7,324 | 2,010 | MINU2**091985 | 1985-09-04 | 34 | fabc8d7d593207b5a9031b13e3eebbb6 | Mujer | 2010-08-16 | 2010-09-01 | M-PR | Si | |
| 4,289 | 2,010 | MINU2**031984 | 1984-03-03 | 35 | fabc8d7d593207b5a9031b13e3eebbb6 | Mujer | 2010-03-29 | 2010-05-24 | PG-PAI | Si | |
| 132,517 | 2,018 | ROBE1**041981 | 1981-04-06 | 38 | fae274cc05ee7a0c67c65c4fc94e6e1c | NA | Hombre | 2018-01-24 | 2018-04-18 | PG-PAB | Si |
| 95,940 | 2,016 | ROBE1**041982 | 1982-04-06 | 37 | fae274cc05ee7a0c67c65c4fc94e6e1c | Hombre | 2016-04-15 | 2016-07-01 | PG-PAI | Si | |
| 127,194 | 2,018 | FAHE2**101971 | 1971-10-21 | 48 | fb3267eed6501d25eeaeeed7ce865cfc | NA | Mujer | 2017-04-17 | 2018-11-01 | PG-PAB | Si |
| 89,666 | 2,016 | FAHE2**101971 | 1971-10-20 | 48 | fb3267eed6501d25eeaeeed7ce865cfc | Mujer | 2015-09-10 | 2016-04-25 | PG-PAB | Si | |
| 12,342 | 2,011 | FAHE2**101972 | 1972-10-21 | 47 | fb3267eed6501d25eeaeeed7ce865cfc | Mujer | 2010-11-04 | 2011-05-30 | PG-PAI | Si | |
| 155,268 | 2,019 | ALAL2**012001 | 2001-01-09 | 18 | fb74493f56becc488867fe53c5573a08 | NA | Mujer | 2019-03-01 | NA | M-PAI | Si |
| 29,890 | 2,012 | ALAL2**081985 | 1985-08-24 | 34 | fb74493f56becc488867fe53c5573a08 | Mujer | 2012-09-17 | 2013-01-02 | PG-PAI | Si | |
| 91,057 | 2,016 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2015-11-02 | 2016-05-02 | PG-PAI | Si | |
| 79,452 | 2,015 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2015-07-01 | 2015-11-01 | PG-PAB | Si | |
| 67,930 | 2,015 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2014-07-23 | 2015-07-14 | PG-PAI | Si | |
| 58,304 | 2,014 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2014-04-07 | 2014-07-11 | PG-PR | Si | |
| 57,056 | 2,014 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2014-04-07 | 2014-04-30 | PG-PAI | Si | |
| 51,529 | 2,014 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2013-10-21 | 2014-01-30 | PG-PR | Si | |
| 43,168 | 2,013 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2013-07-30 | 2013-10-18 | PG-PAI | Si | |
| 38,476 | 2,013 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2013-04-09 | 2013-07-29 | PG-PR | Si | |
| 33,287 | 2,013 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2012-07-04 | 2013-04-12 | PG-PAI | Si | |
| 27,091 | 2,012 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2012-05-01 | 2012-07-02 | PG-PAI | Si | |
| 25,113 | 2,012 | CLAR1**091990 | 1990-09-28 | 29 | fba24f5affb5795f58a61bed2019722a | Hombre | 2012-02-08 | 2012-02-24 | PG-PR | Si | |
| 21,802 | 2,012 | CLAR1**091989 | 1989-09-28 | 30 | fba24f5affb5795f58a61bed2019722a | Hombre | 2011-07-14 | 2012-01-31 | PG-PAI | Si | |
| 117,064 | 2,017 | BEOS2**101987 | 1987-10-15 | 32 | fc27f1486a6ff12c2796b06100d6498f | NA | Mujer | 2017-05-24 | 2017-10-30 | PG-PAI | Si |
| 374 | 2,010 | BEOS1**121987 | 1987-12-15 | 31 | fc27f1486a6ff12c2796b06100d6498f | Hombre | 2009-08-17 | 2011-05-26 | PG-PAB | No | |
| 127,037 | 2,018 | LUCH2**061973 | 1973-06-08 | 46 | fc39ad6ad8580c51ec9e45976499f125 | NA | Mujer | 2017-02-13 | 2018-11-28 | M-PAI | Si |
| 51,315 | 2,014 | LUCH2**061975 | 1975-06-08 | 44 | fc39ad6ad8580c51ec9e45976499f125 | Mujer | 2013-09-25 | 2014-02-28 | M-PAI | Si | |
| 134,144 | 2,018 | BLDI2**071956 | 1956-07-02 | 63 | fc3fa10f304d0cf35152587a0d5add2d | NA | Mujer | 2018-02-26 | 2018-05-31 | M-PR | Si |
| 114,027 | 2,017 | BLDI2**071956 | 1956-07-02 | 63 | fc3fa10f304d0cf35152587a0d5add2d | NA | Mujer | 2017-02-28 | 2017-07-20 | M-PR | Si |
| 106,346 | 2,017 | BLDI2**071958 | 1958-07-02 | 61 | fc3fa10f304d0cf35152587a0d5add2d | NA | Mujer | 2015-12-03 | 2017-02-27 | M-PAI | Si |
| 54,686 | 2,014 | BLDI2**071958 | 1958-07-02 | 61 | fc3fa10f304d0cf35152587a0d5add2d | Mujer | 2014-02-03 | 2014-09-29 | M-PAI | Si | |
| 36,341 | 2,013 | BLDI2**071956 | 1956-07-02 | 63 | fc3fa10f304d0cf35152587a0d5add2d | Mujer | 2012-04-17 | 2013-07-31 | M-PR | Si | |
| 17,167 | 2,011 | BLDI2**071956 | 1956-07-02 | 63 | fc3fa10f304d0cf35152587a0d5add2d | Mujer | 2011-07-12 | 2011-09-12 | M-PR | Si | |
| 4,496 | 2,010 | BLDI2**071956 | 1956-07-02 | 63 | fc3fa10f304d0cf35152587a0d5add2d | Mujer | 2010-04-05 | 2010-09-30 | M-PR | Si | |
| 25,684 | 2,012 | RONA1**081992 | 1992-08-15 | 27 | fc6cb054a0a935d79aebe18145f9c7af | Hombre | 2012-02-27 | 2013-01-02 | PG-PAI | Si | |
| 10,062 | 2,011 | RONA1**081979 | 1979-08-15 | 40 | fc6cb054a0a935d79aebe18145f9c7af | Hombre | 2009-01-05 | 2011-10-03 | PG-PAI | Si | |
| 147,146 | 2,019 | JOAL1**051971 | 1971-05-08 | 48 | fc97e8735ee25093481fb234a1b44136 | NA | Hombre | 2017-12-26 | 2019-05-20 | PG-PAI | Si |
| 96,238 | 2,016 | JOAL1**051981 | 1981-05-08 | 38 | fc97e8735ee25093481fb234a1b44136 | Hombre | 2016-02-16 | 2016-09-26 | PG-PAI | Si | |
| 52,182 | 2,014 | JOAL1**051971 | 1971-05-08 | 48 | fc97e8735ee25093481fb234a1b44136 | Hombre | 2013-11-25 | 2014-08-04 | PG-PAB | Si | |
| 90,617 | 2,016 | JUVA1**101965 | 1965-10-04 | 54 | fd0cf852867375de7a7f4db5acd67b1a | Hombre | 2015-11-04 | 2016-05-27 | PG-PAI | Si | |
| 79,405 | 2,015 | JUVA1**101964 | 1964-10-04 | 55 | fd0cf852867375de7a7f4db5acd67b1a | Hombre | 2015-07-28 | 2015-10-05 | PG-PR | Si | |
| 108,126 | 2,017 | ROCA1**111982 | 1982-11-15 | 36 | fd1d5c33bbe93d48a8a89d9cbfaa83b6 | NA | Hombre | 2016-07-19 | 2018-01-01 | PG-PAI | Si |
| 84,480 | 2,015 | RO-C1**011982 | 1982-01-15 | 37 | fd1d5c33bbe93d48a8a89d9cbfaa83b6 | Hombre | 2015-11-02 | 2016-01-26 | PG-PAB | Si | |
| 61,159 | 2,014 | JOSA1**121980 | 1980-12-30 | 38 | fd3acbacd444ba1526351cfb06450df2 | Hombre | 2014-08-27 | 2014-11-10 | PG-PAI | Si | |
| 9,636 | 2,010 | JOSA1**121981 | 1981-12-30 | 37 | fd3acbacd444ba1526351cfb06450df2 | Hombre | 2010-12-07 | 2011-02-01 | PG-PAB | Si | |
| 159,235 | 2,019 | RONE1**111988 | 1988-11-21 | 30 | fd51494034fcdb8b75dac1d77d08810b | NA | Hombre | 2019-06-21 | NA | PG-PAB | Si |
| 63,786 | 2,014 | RONE1**011988 | 1988-01-21 | 31 | fd51494034fcdb8b75dac1d77d08810b | Hombre | 2014-10-30 | 2014-12-19 | PG-PAI | Si | |
| 134,345 | 2,018 | GOFI1**051984 | 1984-05-04 | 35 | fd5e27d489f4570826a23592e884380f | NA | Hombre | 2018-02-28 | 2018-06-04 | PG-PAB | Si |
| 41,801 | 2,013 | GOFI1**051994 | 1994-05-05 | 25 | fd5e27d489f4570826a23592e884380f | Hombre | 2013-07-11 | 2013-12-19 | PG-PAB | No | |
| 26,397 | 2,012 | LUFI1**121988 | 1988-12-27 | 30 | fd72e3d7fd9afc50a8a848e3b32072e8 | Hombre | 2012-03-14 | 2012-06-30 | PG-PR | Si | |
| 23,897 | 2,012 | LUFI1**011982 | 1982-01-27 | 37 | fd72e3d7fd9afc50a8a848e3b32072e8 | Hombre | 2012-01-16 | 2012-03-14 | PG-PAI | Si | |
| 159,367 | 2,019 | MALA2**031971 | 1971-03-22 | 48 | fd923c958a13be503541d9a56e0d21ee | NA | Mujer | 2019-07-01 | 2019-08-26 | M-PAI | Si |
| 74,467 | 2,015 | MALA2**031976 | 1976-03-22 | 43 | fd923c958a13be503541d9a56e0d21ee | Mujer | 2015-03-13 | 2015-08-04 | M-PAI | Si | |
| 68,851 | 2,015 | MALA2**031971 | 1971-03-22 | 48 | fd923c958a13be503541d9a56e0d21ee | Mujer | 2014-09-01 | 2015-03-12 | PG-PAI | Si | |
| 81,848 | 2,015 | MACH1**101990 | 1990-10-19 | 29 | fdec0f783770a94571056ea4be552552 | Hombre | 2015-09-21 | 2015-09-23 | PG-PR | Si | |
| 76,392 | 2,015 | MACH1**101990 | 1990-10-19 | 29 | fdec0f783770a94571056ea4be552552 | Hombre | 2015-05-20 | 2015-09-16 | PG-PAI | Si | |
| 52,058 | 2,014 | MACH1**101990 | 1990-10-19 | 29 | fdec0f783770a94571056ea4be552552 | Hombre | 2013-11-19 | 2014-03-19 | PG-PAB | Si | |
| 42,683 | 2,013 | MACH1**071994 | 1994-07-19 | 25 | fdec0f783770a94571056ea4be552552 | Hombre | 2013-07-24 | 2013-10-30 | PG-PAB | Si | |
| 103,273 | 2,016 | CRDI1**121987 | 1987-12-14 | 31 | fe1e2ff4a824ce8be240f858243dd3c1 | Hombre | 2016-10-26 | 2016-12-13 | PG-PAI | Si | |
| 93,163 | 2,016 | CRDI1**121986 | 1986-12-14 | 32 | fe1e2ff4a824ce8be240f858243dd3c1 | Hombre | 2016-01-27 | 2016-10-19 | PG-PR | Si | |
| 39,020 | 2,013 | CRDI1**121987 | 1987-12-14 | 31 | fe1e2ff4a824ce8be240f858243dd3c1 | Hombre | 2013-04-19 | 2013-06-10 | PG-PR | Si | |
| 15,159 | 2,011 | CRDI1**121987 | 1987-12-14 | 31 | fe1e2ff4a824ce8be240f858243dd3c1 | Hombre | 2011-04-20 | 2011-07-29 | PG-PR | Si | |
| 155,040 | 2,019 | ANLA2**111998 | 1998-11-09 | 21 | fe85f6c5ebc9cb810ad6e18b054fb368 | NA | Mujer | 2019-03-27 | 2019-04-24 | PG-PAI | Si |
| 112,600 | 2,017 | ANLA2**111998 | 1998-11-09 | 20 | fe85f6c5ebc9cb810ad6e18b054fb368 | NA | Mujer | 2017-01-25 | 2017-02-08 | M-PR | Si |
| 111,293 | 2,017 | CAGA2**091996 | 1996-09-29 | 23 | fe8d4969d3cd60e120d8b1ae0832dbf5 | NA | Mujer | 2016-12-14 | 2017-02-08 | M-PR | Si |
| 97,787 | 2,016 | CAGA1**091994 | 1994-09-29 | 25 | fe8d4969d3cd60e120d8b1ae0832dbf5 | Hombre | 2016-04-27 | 2016-11-11 | M-PR | Si | |
| 68,351 | 2,015 | MYWI1**111973 | 1973-11-29 | 45 | ff6aca66666c8b72aef0b10d58ebcc63 | Hombre | 2014-08-29 | 2015-05-15 | PG-PAB | Si | |
| 21,888 | 2,012 | MYWI1**091973 | 1973-09-29 | 46 | ff6aca66666c8b72aef0b10d58ebcc63 | Hombre | 2011-08-09 | 2012-02-20 | PG-PR | Si | |
| 136,688 | 2,018 | JOAT1**061986 | 1986-06-11 | 33 | ff850e8afc7979205494daae19d95839 | NA | Hombre | 2018-04-17 | 2018-08-31 | PG-PAI | Si |
| 59,508 | 2,014 | JOAT1**111986 | 1986-11-11 | 32 | ff850e8afc7979205494daae19d95839 | Hombre | 2014-07-01 | 2015-01-09 | PG-PAI | Si | |
| 880 | 2,010 | JOAT1**061986 | 1986-06-11 | 33 | ff850e8afc7979205494daae19d95839 | Hombre | 2010-01-18 | 2010-02-04 | PG-PAI | Si | |
| 156,323 | 2,019 | ORCA2**061969 | 1969-06-22 | 50 | ff91cc14106e2b535f1b879f14d1f28e | NA | Mujer | 2019-04-26 | 2019-07-31 | PG-PAI | Si |
| 111,106 | 2,017 | ORCA2**071996 | 1996-07-22 | 23 | ff91cc14106e2b535f1b879f14d1f28e | NA | Mujer | 2016-12-12 | 2017-09-04 | PG-PAB | Si |
| 112,092 | 2,017 | BEDE2**021972 | 1972-02-23 | 47 | ffcc0046427d1228ec6712ebb13a3b4e | NA | Mujer | 2016-12-22 | 2017-06-08 | PG-PAI | Si |
| 99,128 | 2,016 | BEDE2**121972 | 1972-12-23 | 46 | ffcc0046427d1228ec6712ebb13a3b4e | Mujer | 2016-07-04 | 2016-12-20 | M-PR | Si |
#debo reemplazar a fech_nac, id, id_mod, Edad_al_ing,
# dplyr::select(Edad,HASH_KEY) %>%
# dplyr::group_by(HASH_KEY,Edad) %>% tally() %>% dplyr::mutate(n_col=n) %>% dplyr::filter(n>1) %>% as.data.frame() %>% #reshape::cast(.,Edad+HASH_KEY~n) %>% dplyr::arrange(Edad, HASH_KEY)From Table 12, we can see some users with different ages because the age is obtained by the difference between the date of birth and the date of retrieval of each yearly dataset. This factor adds some variability among users (let’s say, differences of a few days may translate to differences of age, depending on the date of retrieval of the yearly dataset). Other differences in ages within HASHs could be caused by mistyping in the registry, or other reasons not related to the process of retrieval. The best way to tackle this problem is to replace birth dates of users that have more than one different date.
It must be noted that many variables that may change among individuals can be duplicated per HASH. These are the individual variables that may change and share more than one HASH.
- Age of Onset of Drug Use (edad_ini_cons) (41,305)
- Age of Onset of Drug Use Principal Substance (edad_ini_sus_prin) (42,477)
- Year of Birth (ano_nac) (3,853)
- Date of Birth (fech_nac) (8,702)
- Starting Substance (sus_ini) (30,138)
- Sex (sexo) (1,177)
- Age (Edad) (4,115)
- Ethnicity (Etnia) (12,685)
- Nationality (Nacionalidad) (179)
- SENDA ID (id) (11,275)
- Masked SENDA ID (id_mod) (8,674)
###4.1.Rule-based solution to inconsistent dates of birth
In this stage, we changed the age, SENDA ID, year of birth and date of birth, without changing any other variables not related to age. The main reason is that these variables come from a specific date of birth, which in this case, is duplicated. The rest of the variables may be subject to an analysis that should take into account other logical inconsistencies that we may resolve once data is deduplicated.
#plot(CONS_C1_df_dup_ENE_2020_prev2$ano_nac, CONS_C1_df_dup_ENE_2020_prev2$Edad, ylab="Age", xlab="Year of Birth")
knitr::include_graphics(paste0(path, "/SUD_CL/Figures/Fig2_Date of Birth.svg"))
Figure 2a. Decision Tree for the Discard of Duplicated Date of Birth by User
First, we aimed to define a unique date of birth for each user, using the following criteria: recent database, most frequent values, and in the third place, how valid that value was. Additionally, we aimed to reduce the ties in dates of birth following the criteria mentioned above.
#CONS_C1_df_dup_ENE_2020_prev4_edad <- CONS_C1_df_dup_ENE_2020_prev4 %>% group_by(HASH_KEY) %>% dplyr::mutate(edad_por_hash=n_distinct(Edad)) %>% ungroup() %>% dplyr::filter(edad_por_hash>1) %>% dplyr::distinct(HASH_KEY) %>% unlist() %>% as.character()
invisible_edad_fecha_nac=1
if (invisible_edad_fecha_nac==0){
janitor::tabyl(is.na(CONS_C1_df_dup_ENE_2020_prev4$fech_nac),is.na(CONS_C1_df_dup_ENE_2020_prev4$Edad))
#por lo visto tienen la misma cantidad de perdidos. No sé si la misma cantidad de inválidos.
}
#_#_#_#_#_#_#_
#DIAGNOSTICO
#_#_#_#_#_#_#_
# Para ver las diferencias agregadas entre usuarios en los valores distintos que tienen.
if (invisible_edad_fecha_nac==0){
invisible(try(
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash>0,fech_nac_por_hash>1,ano_bd_por_hash>0,n_por_hash>0,Edad_al_ing_menos_18==0)%>% print()
))
}
summ_fech_nac<-CONS_C1_df_dup_ENE_2020_prev4 %>%
group_by(HASH_KEY) %>%
dplyr::mutate(fechnac_por_hash=n_distinct(fech_nac),bds_por_hash=n_distinct(ano_bd), HASH_reps = n()) %>%
dplyr::filter(fechnac_por_hash>1)%>%
dplyr::mutate(fech_nac_num=as.numeric(lubridate::time_length(difftime(as.Date(fech_nac), as.Date("1900-01-01")),"days"))) %>%
dplyr::mutate(fech_nac_num=replace(fech_nac_num, is.na(Edad), NA)) %>%
# dplyr::select(HASH_KEY, Edad, fech_nac, fech_nac_num)
add_tally()%>%
summarise(n=mean(n), fech_nac_p25 = quantile(fech_nac_num, c(0.25),na.rm=T),fech_nac_p50 = quantile(fech_nac_num, c(0.50),na.rm=T),fech_nac_p75 = quantile(fech_nac_num, c(0.75),na.rm=T),
fech_nacsd=sd(fech_nac_num,na.rm=T), min=min(fech_nac_num, na.rm = T),max=max(fech_nac_num, na.rm = T),mean=mean(fech_nac_num,na.rm=T),ranges=abs(max-min)) %>%
ungroup()%>%
dplyr::mutate(diff_p25_p50=abs(fech_nac_p50-fech_nac_p25),diff_p75_p50=abs(fech_nac_p75-fech_nac_p50),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50),avg_p75_p50=mean(diff_p75_p50),avg_sd=mean(fech_nacsd,na.rm=T),avg_min_mean=mean(min_mean,na.rm=T),
avg_max_mean=mean(max_mean,na.rm=T),avg_ranges=mean(ranges,na.rm=T),sd_ranges=sd(ranges,na.rm=T),p75_ranges=quantile(ranges, c(0.75),na.rm=T),
p90_ranges=quantile(ranges, c(0.90),na.rm=T)) %>%
round(2) add_tally (grouped): new variable 'n' with 12 unique values and 0% NA`summarise()` ungrouping output (override with `.groups` argument)summ_edad<-CONS_C1_df_dup_ENE_2020_prev4 %>%
group_by(HASH_KEY) %>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),bds_por_hash=n_distinct(ano_bd), HASH_reps = n()) %>%
dplyr::filter(edad_por_hash>1)%>%
# dplyr::select(HASH_KEY, Edad, fech_nac, fech_nac_num)
add_tally()%>%
summarise(n=mean(n), Edad_p25 = quantile(Edad, c(0.25),na.rm=T),Edad_p50 = quantile(Edad, c(0.50),na.rm=T),Edad_p75 = quantile(Edad, c(0.75),na.rm=T),
Edadsd=sd(Edad,na.rm=T), min=min(Edad, na.rm = T),max=max(Edad, na.rm = T),mean=mean(Edad,na.rm=T),ranges=abs(max-min)) %>%
ungroup()%>%
dplyr::mutate(diff_p25_p50=abs(Edad_p50-Edad_p25),diff_p75_p50=abs(Edad_p75-Edad_p50),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50),avg_p75_p50=mean(diff_p75_p50),avg_sd=mean(Edadsd,na.rm=T),avg_min_mean=mean(min_mean,na.rm=T),
avg_max_mean=mean(max_mean,na.rm=T),avg_ranges=mean(ranges,na.rm=T),sd_ranges=sd(ranges,na.rm=T),p75_ranges=quantile(ranges, c(0.75),na.rm=T),
p90_ranges=quantile(ranges, c(0.90),na.rm=T)) %>%
round(2)add_tally (grouped): new variable 'n' with 12 unique values and 0% NA
`summarise()` ungrouping output (override with `.groups` argument)#_#_#_#_#_#_#_
#_#_#_#_#_#_#_
#_______________________
###PARA HACER LA CONVERSION
#_______________________
#_#_#_#_#_#_
##0a. menos 18
edad_al_ing_menos_18_0a<-
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash>0,fech_nac_por_hash>1,ano_bd_por_hash>0,n_por_hash>0,Edad_al_ing_menos_18>0)%>%
distinct(HASH_KEY) %>% dplyr::ungroup()%>% data.frame()%>% unlist()%>% as.character()add_tally (grouped): new variable 'n_por_hash' with 13 unique values and 0% NACONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::filter(HASH_KEY %in% edad_al_ing_menos_18_0a) %>%
dplyr::group_by(HASH_KEY)%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::mutate(edad_inicio_sus_mayor_a_edad= dplyr::case_when(Edad.Inicio..Sustancia.Principal.>Edad_al_ing|Edad.Inicio.Consumo>Edad_al_ing~1,TRUE~0))%>%
#Señala haber iniciado consumo después de ingresar
dplyr::filter(edad_inicio_sus_mayor_a_edad==0)%>%
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18&min_fech_ing_by_hash==fech_ing~1,TRUE~0))%>%
#En caso de presentar una fecha de nacimiento en particular, la primera fecha de ingreso correspondería a un menor de edad
#se descarta porque es peligroso incoporarlo, dado que hay muchas fechas que todavía están en los 17 años
#dplyr::filter(Edad_al_ing_menos_18_min==0)%>%
dplyr::filter(!row %in% c('55669', '118299', '70823', '76', '6891', '66127', '73976', '54422', '11837', '54210', '115559',
'72119', '70929', '53222', '68387', '73896', '76915', '72178', '69295', '56077', '48023', '85833',
'76406', '53557', '55779', '45644', '113617', '63549', '119432', '127179'))%>%
add_tally(name="n_por_hash")%>%
dplyr::slice(which.min(fech_nac)) %>%
dplyr::select(HASH_KEY,fech_nac)%>%
dplyr::arrange(HASH_KEY)%>%
as.data.frame()%>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
assign("hash_fechnac_edad_ing_menos_18_0a",., envir = .GlobalEnv) #37 valores para 37 usuarios.add_tally (grouped): new variable 'n_por_hash' with 5 unique values and 0% NA
add_tally (grouped): changed 63 values (82%) of 'n_por_hash' (0 new NA)#_#_#_#_#_#_
#0b. misma edad- Reemplazar con la fecha de nacimiento promedio
misma_edad_0b<- CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash==1,fech_nac_por_hash>1,ano_bd_por_hash>0,n_por_hash>0,Edad_al_ing_menos_18==0)%>%
summarise(mean_fech_nac=mean(fech_nac,na.rm=T))%>%
dplyr::mutate(mean_fech_nac=as.character(as.Date.character(mean_fech_nac)))add_tally (grouped): new variable 'n_por_hash' with 13 unique values and 0% NA
`summarise()` ungrouping output (override with `.groups` argument)CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% as.character(unlist(misma_edad_0b[,"HASH_KEY"]))) %>%
dplyr::group_by(HASH_KEY)%>%
dplyr::arrange(HASH_KEY)%>%
dplyr::select(HASH_KEY, fech_nac)%>%
summarise(mean_fech_nac=mean(fech_nac, na.rm=T)) %>%
dplyr::mutate(mean_fech_nac=as.character(as.Date.character(mean_fech_nac)))%>%
as.data.frame()%>%
assign("hash_fechnac_misma_edad_0b",., envir = .GlobalEnv) `summarise()` ungrouping output (override with `.groups` argument)#_#_#_#_#_#_
#1. distinta edad, bd tratamiento más reciente- Dejar la fecha del tratamiento más reciente
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash>1,fech_nac_por_hash>1,ano_bd_por_hash>1,n_por_hash>0,Edad_al_ing_menos_18==0, !is.na(fech_nac))%>% #incorporo perdidos en la fecha de nac.
#fecha de ingreso mínima por hash contendría una edad menor a 18 años
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::ungroup()%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18&min_fech_ing_by_hash==fech_ing~1,TRUE~0))%>%
dplyr::filter(Edad_al_ing_menos_18_min==0)%>% #hay 0
#
dplyr::arrange(HASH_KEY,desc(ano_bd)) %>% #may 2020, agregué descendiente la edad, de más reciente a más antiguo
dplyr::select(row, HASH_KEY, ano_bd, ano_nac, fech_nac, Edad,fech_ing,Edad_al_ing)%>%
dplyr::group_by(HASH_KEY,fech_nac)%>%
add_tally(name="no_of_comb_hash_key_fech_nac")%>%
dplyr::ungroup()%>%
group_by(HASH_KEY) %>%
dplyr::mutate(max_ano=max(ano_bd))%>%
#dplyr::slice(which.max(ano_bd)) %>% #MAY 2020, dejé como un procedimiento de APR 2020
dplyr::filter(max_ano==ano_bd) %>%
dplyr::ungroup()%>%
assign("hash_fech_nac_most_recent_db_1a",., envir = .GlobalEnv) %>% # MAY 2020 - 1,320 casos de 1154 usuarios
dplyr::group_by(HASH_KEY)%>%
distinct(fech_nac,.keep_all=T)%>%
dplyr::mutate(n_dis=n_distinct(fech_nac)) %>%
dplyr::filter(n_dis>1)%>% #45
dplyr::mutate(fech_nac_=paste0("fech_nac_",row_number()))%>%#
tidyr::pivot_wider(id_cols =HASH_KEY,names_from = fech_nac_, values_from = fech_nac,names_repair="minimal",values_fill = list(n = ""))%>%
assign("hash_fech_nac_most_recent_db_more_one_value_1b",., envir = .GlobalEnv) #179, de 78 usuariosadd_tally (grouped): new variable 'n_por_hash' with 13 unique values and 0% NA
add_tally (grouped): new variable 'no_of_comb_hash_key_fech_nac' with 11 unique values and 0% NAhash_fech_nac_most_recent_db_1a <- hash_fech_nac_most_recent_db_1a%>% #1,076 casos con 1,076 hash distintos
group_by(HASH_KEY)%>%
distinct(fech_nac,.keep_all=T)%>%
dplyr::mutate(n_dis=n_distinct(fech_nac)) %>%
dplyr::filter(n_dis==1) %>%
ungroup()%>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
dplyr::select(HASH_KEY,fech_nac)
#dplyr::select(-n_dis,-row,-ano_nac,-max_ano,no_of_comb_hash_key_fech_nac)
#_#_#_#_#_#_
#2a. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash>1,fech_nac_por_hash>1,ano_bd_por_hash==1,n_por_hash>2,Edad_al_ing_menos_18==0, !is.na(fech_nac))%>%
#fecha de ingreso mínima por hash contendría una edad menor a 18 años
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::ungroup()%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18&min_fech_ing_by_hash==fech_ing~1,TRUE~0))%>%
dplyr::filter(Edad_al_ing_menos_18_min==0)%>% #hay 0
#
dplyr::group_by(HASH_KEY,fech_nac) %>%
dplyr::add_tally(name="n_por_hash") %>% #agrego un nuevo n, para contar los distintos fech_naces
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::ungroup()%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18&min_fech_ing_by_hash==fech_ing~1,TRUE~0))%>%
dplyr::filter(Edad_al_ing_menos_18_min==0)%>%
dplyr::select(row, HASH_KEY, ano_bd, fech_nac,fech_ing,Edad,Edad_al_ing,dias_trat,SENDA, n_por_hash)%>%
dplyr::ungroup() %>%
dplyr::arrange(HASH_KEY,desc(ano_bd),desc(fech_ing),desc(n_por_hash))%>%
distinct(HASH_KEY,fech_nac,.keep_all=T) %>%
dplyr::group_by(HASH_KEY) %>%
#dplyr::slice(which.max(n_por_hash)) %>% #me quedo con la concatenación por hash key que más se repite.
dplyr::top_n(1,n_por_hash)%>%
dplyr::ungroup()%>%
assign("hash_fech_nac_most_freq_value",., envir = .GlobalEnv)%>% #136
group_by(HASH_KEY)%>%
add_tally()%>%
dplyr::filter(n>1)%>% #45
dplyr::mutate(fech_nac_=paste0("fech_nac_",row_number()))%>%
tidyr::pivot_wider(id_cols =HASH_KEY,names_from = fech_nac_, values_from = fech_nac,names_repair="minimal",values_fill = list(n = ""))%>%
dplyr::rename("fech_nac"="fech_nac_1")%>%
assign("hash_fech_nac_most_freq_value_more_one_value_2a2",., envir = .GlobalEnv) #136add_tally (grouped): new variable 'n_por_hash' with 13 unique values and 0% NA
add_tally (grouped): new variable 'n' with 2 unique values and 0% NA#seleccionar los casos en que en la misma base de datos hay sólo un caso que es mayor
hash_fech_nac_most_freq_value_2a1 <- hash_fech_nac_most_freq_value%>%
group_by(HASH_KEY)%>%
add_tally()%>%
dplyr::filter(n==1) %>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
dplyr::select(HASH_KEY,fech_nac)add_tally (grouped): new variable 'n' with 2 unique values and 0% NA#2b. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente. Casos con fecha de trat + reciente
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_1b["HASH_KEY"])))%>%
dplyr::group_by(HASH_KEY,fech_nac) %>%
dplyr::add_tally(name="n_por_hash_fech_nac") %>%
dplyr::ungroup()%>%
dplyr::group_by(HASH_KEY) %>%
dplyr::add_tally(name="n_por_hash") %>%
dplyr::arrange(desc(n_por_hash_fech_nac))%>%
# dplyr::ungroup()%>%
dplyr::top_n(1,n_por_hash_fech_nac)%>%
dplyr::arrange(desc(n_por_hash),HASH_KEY)%>%
dplyr::distinct(HASH_KEY,fech_nac,.keep_all=T)%>%
dplyr::select(row, HASH_KEY, ano_bd, fech_nac,fech_ing,Edad,dias_trat,SENDA, n_por_hash,n_por_hash_fech_nac) %>%
dplyr::group_by(HASH_KEY)%>%
dplyr::add_tally(name="n_por_hash") %>%
assign("hash_fech_nac_most_recent_db_more_one_value_mfv_2b1",., envir = .GlobalEnv)
hash_fech_nac_most_recent_db_more_one_value_mfv_2b1 %>%
dplyr::filter(n_por_hash>1)%>% #45
dplyr::mutate(fech_nac_=paste0("fech_nac_",row_number()))%>%
tidyr::pivot_wider(id_cols =HASH_KEY,names_from = fech_nac_, values_from = fech_nac,names_repair="minimal",values_fill = list(n = ""))%>%
dplyr::rename("fech_nac"="fech_nac_1")%>%
assign("hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2",., envir = .GlobalEnv)
hash_fech_nac_most_recent_db_more_one_value_mfv_2b1<-
hash_fech_nac_most_recent_db_more_one_value_mfv_2b1%>%
dplyr::filter(n_por_hash==1)%>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
dplyr::select(HASH_KEY,fech_nac)
#_#_#_#_#_#_
# 3. Sólo 2 casos . fechas de nacimiento, en la misma base de datos anual.
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18=case_when(Edad_al_ing<18~1,TRUE~0))%>%
group_by(HASH_KEY) %>%
dplyr::mutate(Edad_al_ing_menos_18=sum(Edad_al_ing_menos_18))%>%
dplyr::mutate(edad_por_hash=n_distinct(Edad),fech_nac_por_hash=n_distinct(fech_nac),ano_bd_por_hash=n_distinct(ano_bd)) %>% add_tally(name="n_por_hash")%>%dplyr::arrange(HASH_KEY)%>%
dplyr::filter(edad_por_hash>1,fech_nac_por_hash>1,ano_bd_por_hash==1,n_por_hash==2,Edad_al_ing_menos_18==0, !is.na(fech_nac))%>%
dplyr::mutate(fech_nac_=paste0("fech_nac_",row_number()))%>%
dplyr::arrange(HASH_KEY) %>%
dplyr::ungroup()%>%
tidyr::pivot_wider(id_cols =HASH_KEY,names_from = fech_nac_, values_from = fech_nac,names_repair="minimal",values_fill = list(n = ""))%>%
data.frame() %>%
assign("hash_fech_nac_misma_bd_2_casos_3",., envir = .GlobalEnv) add_tally (grouped): new variable 'n_por_hash' with 13 unique values and 0% NA#_#_#_#_#_#_EXPLORACION DE CASOS ANOMALOS
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_
invisible(
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
dplyr::select(row,HASH_KEY, id, Edad,ano_bd,fech_ing,fech_nac,`Escolaridad..último.año.cursado.`, Estado.Conyugal,
`Número.de.Hijos`, `Número.de.Hijos.Ingreso.Tratamiento.Residencial`,Edad.Inicio.Consumo,Edad.Inicio..Sustancia.Principal.,
Fecha.Ultimo.Tratamiento)%>%
guardar_tablas("empates y 2 valores misma bd")
)
#Para revisar la mediana
summ_fech_nac_empates<-
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
group_by(HASH_KEY)%>%
dplyr::mutate(fechnac_por_hash=n_distinct(fech_nac),bds_por_hash=n_distinct(ano_bd), HASH_reps = n()) %>%
dplyr::filter(fechnac_por_hash>1)%>%
dplyr::mutate(fech_nac_num=as.numeric(lubridate::time_length(difftime(as.Date(fech_nac), as.Date("1900-01-01")),"days"))) %>%
dplyr::mutate(fech_nac_num=replace(fech_nac_num, is.na(Edad), NA)) %>%
# dplyr::select(HASH_KEY, Edad, fech_nac, fech_nac_num)
add_tally()%>%
summarise(n=mean(n), fech_nac_p25 = quantile(fech_nac_num, c(0.25),na.rm=T),fech_nac_p50 = quantile(fech_nac_num, c(0.50),na.rm=T),fech_nac_p75 = quantile(fech_nac_num, c(0.75),na.rm=T),
fech_nacsd=sd(fech_nac_num,na.rm=T), min=min(fech_nac_num, na.rm = T),max=max(fech_nac_num, na.rm = T),mean=mean(fech_nac_num,na.rm=T),ranges=abs(max-min)) %>%
ungroup()%>%
dplyr::mutate(diff_p25_p50=abs(fech_nac_p50-fech_nac_p25),diff_p75_p50=abs(fech_nac_p75-fech_nac_p50),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50)/365.25,avg_p75_p50=mean(diff_p75_p50)/365.25,avg_sd=mean(fech_nacsd,na.rm=T)/365.25,
avg_min_mean=mean(min_mean,na.rm=T)/365.25,avg_max_mean=mean(max_mean,na.rm=T)/365.25,avg_ranges=mean(ranges,na.rm=T)/365.25,sd_ranges=sd(ranges,na.rm=T)/365.25,
p25_ranges=quantile(ranges, c(0.25),na.rm=T)/365.25,p50_ranges=quantile(ranges, c(0.5),na.rm=T)/365.25,p75_ranges=quantile(ranges, c(0.75),na.rm=T)/365.25,
p90_ranges=quantile(ranges, c(0.90),na.rm=T)/365.25) %>%
round(2) add_tally (grouped): new variable 'n' with 3 unique values and 0% NA
`summarise()` ungrouping output (override with `.groups` argument)#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:
#ÚLTIMOS DESCARTES- MANUAL REVIEW, 2B2 2A2 Y 3
#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:#:
#1. Casos que tienen una edad menor a la fecha de inicio de consumo de sustancias
hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c<-
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
dplyr::mutate(edad_inicio_sus_mayor_a_edad= dplyr::case_when(Edad.Inicio..Sustancia.Principal.>Edad_al_ing|Edad.Inicio.Consumo>Edad_al_ing~1,TRUE~0))%>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
group_by(HASH_KEY)%>%
dplyr::mutate(edad_inicio_sus_mayor_a_edad=sum(edad_inicio_sus_mayor_a_edad))%>%
ungroup()%>%
dplyr::filter(edad_inicio_sus_mayor_a_edad==1)%>%
group_by(HASH_KEY)%>%
dplyr::slice(which.min(fech_nac)) %>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
dplyr::select(HASH_KEY,fech_nac)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#2. Menor o igual de la mediana
hash_fechnac_2b2_2a2_misma_bd_2_casos_3_mediana_menor_hash<-
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
dplyr::filter(!HASH_KEY %in% as.character(unlist(hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c["HASH_KEY"])))%>% #Casos que tienen una edad menor a la fecha de inicio de consumo de sustancias
group_by(HASH_KEY)%>%
dplyr::mutate(fech_nac_num=as.numeric(lubridate::time_length(difftime(as.Date(fech_nac), as.Date("1900-01-01")),"days"))) %>%
dplyr::mutate(fech_nac_num=replace(fech_nac_num, is.na(Edad), NA)) %>%
# dplyr::select(HASH_KEY, Edad, fech_nac, fech_nac_num)
add_tally()%>%
summarise(n=mean(n), fech_nac_p25 = quantile(fech_nac_num, c(0.25),na.rm=T),fech_nac_p50 = quantile(fech_nac_num, c(0.50),na.rm=T),fech_nac_p75 = quantile(fech_nac_num, c(0.75),na.rm=T),
fech_nacsd=sd(fech_nac_num,na.rm=T), min=min(fech_nac_num, na.rm = T),max=max(fech_nac_num, na.rm = T),mean=mean(fech_nac_num,na.rm=T),ranges=abs(max-min)) %>%
ungroup()%>%
dplyr::filter(ranges<=as.numeric(summ_fech_nac_empates["p50_ranges"])*365.25)%>%
as.data.frame()%>%
distinct(HASH_KEY)%>%
unlist()%>%
as.character()add_tally (grouped): new variable 'n' with 3 unique values and 0% NA
`summarise()` ungrouping output (override with `.groups` argument)#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#3. Mayor o igual de la mediana
hash_fechnac_2b2_2a2_misma_bd_2_casos_3_mediana_mayor_hash<-
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
dplyr::filter(!HASH_KEY %in% as.character(unlist(hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c["HASH_KEY"])))%>% #Casos que tienen una edad menor a la fecha de inicio de consumo de sustancias
group_by(HASH_KEY)%>%
dplyr::mutate(fech_nac_num=as.numeric(lubridate::time_length(difftime(as.Date(fech_nac), as.Date("1900-01-01")),"days"))) %>%
dplyr::mutate(fech_nac_num=replace(fech_nac_num, is.na(Edad), NA)) %>%
# dplyr::select(HASH_KEY, Edad, fech_nac, fech_nac_num)
add_tally()%>%
summarise(n=mean(n), fech_nac_p25 = quantile(fech_nac_num, c(0.25),na.rm=T),fech_nac_p50 = quantile(fech_nac_num, c(0.50),na.rm=T),fech_nac_p75 = quantile(fech_nac_num, c(0.75),na.rm=T),
fech_nacsd=sd(fech_nac_num,na.rm=T), min=min(fech_nac_num, na.rm = T),max=max(fech_nac_num, na.rm = T),mean=mean(fech_nac_num,na.rm=T),ranges=abs(max-min)) %>%
ungroup()%>%
dplyr::filter(ranges>=as.numeric(summ_fech_nac_empates["p50_ranges"])*365.25)%>%
as.data.frame()%>%
distinct(HASH_KEY)%>%
unlist()%>%
as.character()add_tally (grouped): new variable 'n' with 3 unique values and 0% NA
`summarise()` ungrouping output (override with `.groups` argument)#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#TRANSFORMACIÓN DE VARIABLES
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#2. Sacar la media de los casos con valores menores a la mediana.
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% hash_fechnac_2b2_2a2_misma_bd_2_casos_3_mediana_menor_hash) %>%
dplyr::arrange(HASH_KEY)%>%
#dplyr::select(HASH_KEY, fech_nac)%>%
dplyr::group_by(HASH_KEY)%>%
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18~1,TRUE~0))%>%
dplyr::filter(Edad_al_ing_menos_18_min==0)%>%
summarise(mean_fech_nac=mean(fech_nac,na.rm=T))%>%
dplyr::mutate(mean_fech_nac=as.character(as.Date.character(mean_fech_nac)))%>%
as.data.frame()%>%
assign("promedio_fech_nac_2b2_2a2_4a",., envir = .GlobalEnv) `summarise()` ungrouping output (override with `.groups` argument)#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#3. Los casos más problemáticos, que están en la mediana para arriba en términos de rangos por usuarios
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% hash_fechnac_2b2_2a2_misma_bd_2_casos_3_mediana_mayor_hash) %>%
group_by(HASH_KEY)%>%
dplyr::mutate(min_fech_ing_by_hash=min(fech_ing))%>%
dplyr::mutate(Edad_al_ing_min=lubridate::time_length(difftime(as.Date(min_fech_ing_by_hash), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing_min=replace(Edad_al_ing_min, is.na(Edad), NA)) %>%
dplyr::mutate(Edad_al_ing_menos_18_min=case_when(Edad_al_ing_min<18&min_fech_ing_by_hash==fech_ing~1,TRUE~0))%>%
dplyr::filter(Edad_al_ing_menos_18_min==0)%>% #0.
dplyr::select(row,HASH_KEY, id,Comuna.Residencia, Edad,ano_bd,fech_ing,fech_nac,`Escolaridad..último.año.cursado.`, Estado.Conyugal,
`Número.de.Hijos`, `Número.de.Hijos.Ingreso.Tratamiento.Residencial`,Edad.Inicio.Consumo,Edad.Inicio..Sustancia.Principal.,
Fecha.Ultimo.Tratamiento)%>%
dplyr::arrange(HASH_KEY)%>%
#desde aquí, empiezo a ver qué casos tienen más de una fecha de nacimiento, pero un caso con más de una edad. (4b1)
dplyr::mutate(n_distinct_age_by_hash=n_distinct(fech_nac))%>% # distintas fechas de nacimiento por usuario
dplyr::group_by(HASH_KEY,Edad)%>%
dplyr::mutate(n_ages_by_hash=n())%>% #
dplyr::ungroup()%>%
dplyr::mutate(conservar=if_else(n_distinct_age_by_hash>1&n_ages_by_hash>1,1,0,0))%>%
dplyr::group_by(HASH_KEY)%>%
dplyr::mutate(discard_por_hash=sum(conservar))%>%
dplyr::mutate(discard_final=if_else(discard_por_hash>0&conservar==0,1,0,0))%>%
dplyr::filter(discard_final!=1)%>%
#:#:#:#:#:#:#:#### 4b1
# Estos casos son de hash que tienen distintas fechas de nacimiento, pero más de un caso con la misma edad.
#dplyr::filter(row %in% c("10331","114190","100401","67438","115299","95798","122674"))%>%
#dplyr::filter(!HASH_KEY %in% c("1b59e62ebd06769d773df3bfaaa76820","39f02a1487a3c26128a28036c059c570","56ab5055a4e57bea456d76e91ef50cca",
# "b0f58a11b9a9ae46f44d2e3e57120269","cd5ab28ad842d4dd604ebf759cc4aebd","d892e8ce80db54e5c5ff500b0a954565"))%>%
dplyr::slice(which.min(fech_nac))%>%
dplyr::mutate(fech_nac=as.character(fech_nac))%>%
dplyr::select(HASH_KEY,fech_nac, Edad)%>%
assign("menor_fech_nac_2b2_2a2_3_4b",., envir = .GlobalEnv)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#hash_fechnac_edad_ing_menos_18_0a
#hash_fechnac_misma_edad_0b
#hash_fech_nac_most_recent_db_1a #dttm
#hash_fech_nac_most_freq_value_2a1 #dttm
#hash_fech_nac_most_recent_db_more_one_value_mfv_2b1 #dttm
#hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c #dttm
#promedio_fech_nac_2b2_2a2_4a
#menor_fech_nac_2b2_2a2_3_4b #dttm
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::left_join(hash_fechnac_edad_ing_menos_18_0a, by="HASH_KEY",suffix=c("","_0a")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fechnac_edad_ing_menos_18_0a["HASH_KEY"])))))~glue::glue("{OBS};1.6.01.0a"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_0a),fech_nac_0a,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_0a")) %>%
dplyr::left_join(hash_fechnac_misma_edad_0b, by="HASH_KEY",suffix=c("","_0b")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fechnac_misma_edad_0b["HASH_KEY"])))))~glue::glue("{OBS};1.6.02.0b"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(mean_fech_nac),mean_fech_nac,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_0b"),-mean_fech_nac) %>%
dplyr::left_join(hash_fech_nac_most_recent_db_1a, by="HASH_KEY",suffix=c("","_1a")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fech_nac_most_recent_db_1a["HASH_KEY"])))))~glue::glue("{OBS};1.6.03.1a"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_1a),fech_nac_1a,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_1a")) %>%
dplyr::left_join(hash_fech_nac_most_freq_value_2a1, by="HASH_KEY",suffix=c("","_2a1")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fech_nac_most_freq_value_2a1["HASH_KEY"])))))~glue::glue("{OBS};1.6.04.2a1"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_2a1),fech_nac_2a1,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_2a1")) %>%
dplyr::left_join(hash_fech_nac_most_recent_db_more_one_value_mfv_2b1, by="HASH_KEY",suffix=c("","_2b1")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_2b1["HASH_KEY"])))))~glue::glue("{OBS};1.6.05.2b1"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_2b1),fech_nac_2b1,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_2b1")) %>%
dplyr::left_join(hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c, by="HASH_KEY",suffix=c("","_4c")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(hash_fechnac_2b2_2a2_misma_bd_2_casos_3_edad_ini_con_4c["HASH_KEY"])))))~glue::glue("{OBS};1.6.06.4c"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_4c),fech_nac_4c,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_4c")) %>%
dplyr::left_join(promedio_fech_nac_2b2_2a2_4a, by="HASH_KEY",suffix=c("","_4a")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(promedio_fech_nac_2b2_2a2_4a["HASH_KEY"])))))~glue::glue("{OBS};1.6.07.4a"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(mean_fech_nac),mean_fech_nac,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_4a"),mean_fech_nac) %>%
dplyr::left_join(menor_fech_nac_2b2_2a2_3_4b, by="HASH_KEY",suffix=c("","_4b")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(menor_fech_nac_2b2_2a2_3_4b["HASH_KEY"])))))~glue::glue("{OBS};1.6.08.4b"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_4b),fech_nac_4b,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_4b")) %>%
#as.Date(
dplyr::mutate(id=`substr<-`(id,6,13,gsub("-", "",format(as.Date(lubridate::parse_date_time(as.Date(fech_nac),"Ymd")),"%d%m%Y")))) %>%
#dplyr::mutate(id=`substr<-`(id,6,13,fech_nac)) %>%
dplyr::mutate(id_mod=sub("(.{5}).", "\\1*",id)) %>%
dplyr::mutate(id_mod=sub("(.{6}).", "\\1*",id_mod)) %>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(as.character(as.Date(fech_nac)),"Ymd")) %>%
dplyr::mutate(ano_nac= as.numeric(stringi::stri_sub(as.character(fech_nac),1,4))) %>%
dplyr::mutate(Edad= as.integer(lubridate::time_length(difftime(as.Date("2019-11-13"),as.Date(fech_nac)),"years"))) %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
assign("CONS_C1_df_dup_ENE_2020_prev5",., envir = .GlobalEnv)#plot(CONS_C1_df_dup_ENE_2020_prev2$ano_nac, CONS_C1_df_dup_ENE_2020_prev2$Edad, ylab="Age", xlab="Year of Birth")
knitr::include_graphics(paste0(path, "/SUD_CL/Figures/Fig2b_Date of Birth._less_18.svg"))
Figure 2b. Decision Tree for the Discard of Duplicated Date of Birth by User. Discard invalid data, <18 years at admission
Subsequently, we aimed to rule out birth dates based on the validity of the age at admission (>=18 years at admission). If a user had an age at admission of 18 or less, and more than one date of birth, we replaced the date of birth with the oldest value, regardless of the criteria by which the invalid date was selected.
#_#_#_#_#PARA VER LOS MENORES A 18 AÑOS DE EDAD
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(HASH_KEY %in% menos_18_hash) %>%
# dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
# dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
# dplyr::arrange(HASH_KEY)%>% dplyr::select(HASH_KEY,id,id_mod,Edad,fech_nac,Edad_al_ing)
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(HASH_KEY %in% menos_18_hash) %>% dplyr::arrange(HASH_KEY)%>% dplyr::select(HASH_KEY,id,id_mod,fech_nac,Edad,Edad_al_ing)
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(HASH_KEY=="403b2b7d583202300ec9b1a22f62925f") %>% dplyr::arrange(HASH_KEY)%>% dplyr::select(HASH_KEY,id,id_mod,Edad,Edad_al_ing)
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(HASH_KEY=="7a4bf59c6210afe06194e942d349b900") %>% dplyr::arrange(HASH_KEY)%>% dplyr::select(HASH_KEY,id,id_mod,Edad,Edad_al_ing)
menos_18_hash<-
CONS_C1_df_dup_ENE_2020_prev5 %>% as.data.frame() %>% dplyr::filter(Edad_al_ing<18) %>% distinct(HASH_KEY) %>% unlist() %>% as.character()
#183 filas; 175 hashs
less_18_hash_more_one_age<-CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% menos_18_hash)%>%
dplyr::arrange(HASH_KEY)%>%
dplyr::select(HASH_KEY,id,id_mod,Edad,fech_nac)%>%
dplyr::group_by(HASH_KEY)%>%
dplyr::mutate(n=n_distinct(fech_nac)) %>%
dplyr::ungroup()%>%
dplyr::filter(n>1)%>%
dplyr::group_by(HASH_KEY)%>%
dplyr::slice(which.min(fech_nac))%>%
dplyr::ungroup()
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(HASH_KEY %in% menos_18_hash) %>% dplyr::select(HASH_KEY,id,id_mod,Edad,Edad_al_ing)
menos_18_hash_caso_unico<-
CONS_C1_df_dup_ENE_2020_prev5 %>%
dplyr::filter(HASH_KEY %in% menos_18_hash)%>%
dplyr::filter(!HASH_KEY %in% as.character(unlist(less_18_hash_more_one_age[,"HASH_KEY"])))%>% distinct(HASH_KEY)
#son 59 hash distintos que se verían afectados
invisible(distinct(less_18_hash_more_one_age,HASH_KEY))
CONS_C1_df_dup_ENE_2020_prev5 %>%
dplyr::left_join(less_18_hash_more_one_age, by="HASH_KEY", suffix= c("","_more_age")) %>%
dplyr::mutate(OBS= dplyr::case_when(!is.na(fech_nac_more_age)~paste0(as.character(OBS),";","1.6.XX.1.Age at admission less 18 years & had an older date of birth that could be replaced"), TRUE ~ as.character(OBS)))%>%
dplyr::mutate(fech_nac= dplyr::case_when(!is.na(fech_nac_more_age)~fech_nac_more_age,TRUE ~ fech_nac))%>%
dplyr::mutate(id= dplyr::case_when(!is.na(id_more_age)~id_more_age,TRUE ~ id))%>%
dplyr::mutate(id_mod= dplyr::case_when(!is.na(id_mod_more_age)~id_mod_more_age,TRUE ~ id_mod))%>%
dplyr::mutate(id_mod=sub("(.{5}).", "\\1*",id)) %>%
dplyr::mutate(id_mod=sub("(.{6}).", "\\1*",id_mod)) %>%
dplyr::mutate(fech_nac= as.POSIXct(fech_nac, origin="1970-01-02")) %>%
dplyr::mutate(fech_nac= stringi::stri_sub(as.character.Date(fech_nac),1,10)) %>%
dplyr::mutate(fech_nac= lubridate::parse_date_time(fech_nac,"Ymd")) %>%
dplyr::mutate(Edad= dplyr::case_when(!is.na(Edad_more_age)~Edad_more_age,TRUE ~ Edad))%>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
as.data.frame() %>%
dplyr::select(-ends_with("_more_age"),-n,-mean_fech_nac)%>%
dplyr::mutate(OBS= dplyr::case_when(HASH_KEY %in% as.character(unlist(menos_18_hash_caso_unico))~
paste0(as.character(OBS),";","1.6.XX.2.Age at admission less 18 years & had another date of birth that could be replaced"), TRUE ~ as.character(OBS)))%>%
assign("CONS_C1_df_dup_ENE_2020_prev52",., envir = .GlobalEnv)
menos_18_hash_2<- CONS_C1_df_dup_ENE_2020_prev52 %>% as.data.frame() %>% dplyr::filter(Edad_al_ing<18) %>% distinct(HASH_KEY) %>% unlist() %>% as.character()
#16ffdf18efeffe5f0c9c78d547dc392_2014_6_13 1996-06-30
#616a9f5147684b5bb649eff9936db849_2014_1_15 1998-07-18
casos_emblematicos<-
#CONS_C1_df_dup_ENE_2020_prev52 %>%
CONS_C1_df_dup_ENE_2020_prev52 %>%
dplyr::filter(HASH_KEY %in% menos_18_hash_2)%>%
dplyr::filter(HASH_KEY %in% as.character(unlist(less_18_hash_more_one_age)))%>%
dplyr::select(HASH_KEY,id,fech_ing,Edad_al_ing, Edad,fech_nac)%>% data.frame()
invisible(
#c("aqui se muestra que incluso la fecha de nacimiento más antigua", "sigue dejando una edad de ingreso menor a 18")
CONS_C1_df_dup_ENE_2020_prev4 %>%
dplyr::filter(HASH_KEY %in% menos_18_hash_2)%>%
dplyr::filter(HASH_KEY %in% as.character(unlist(less_18_hash_more_one_age)))%>%
dplyr::select(HASH_KEY,id,fech_ing,Edad,fech_nac)%>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
data.frame()
)
#invisible(
# CONS_C1_df_dup_ENE_2020_prev52 %>%
# dplyr::filter(grepl("1.6.XX.2.",OBS))%>% glimpse()
#)
#1.6.XX.2.After this process, we still ended with 135 users that had at least one date of admission with less than 18 years old. Additionally, 2 users both had distinct dates of birth with ages at admission of less than 18 years old. Lastly, 230 users did not have a valid date of admission.
###4.2.Imputation of inconsistent dates of birth through Neural Networks
We used a neural network model to obtain valid dates of birth for the 230 users that did not have a valid date of birth and for those cases that had an age at the date of admission of less than 15 years old. We did not select the cut-off mark at 16 years old, because one user (616a9f5147684b5bb649eff9936db849) had an age at admission of 15 years old, but also had another entry with the same date of birth in the 2019 dataset. This led us to think that in specific cases, users of 15 years old could be admissible (n= 16).
library(radiant)
no_es=1
if (no_es==0){
rstudioapi::jobRunScript(path = "path_to_Jobs_script", importEnv = TRUE)
}
#cases that do not have age or date of birth or a correct ID
#table(is.na(CONS_C1_df_dup_MAY_2020_prev0$id)) = table(is.na(CONS_C1_df_dup_MAY_2020_prev0$edad))
C1_fech_nac_nas<- CONS_C1_df_dup_ENE_2020_prev52 %>% dplyr::filter(is.na(fech_nac))%>% distinct(HASH_KEY)
if (no_es==0){
print(
"Estos casos terminan siendo inválidos, por eso se declaran perdidos después. Tamopco tienen edad ni ID.
El problema es que al momento de elaboración de la base de datos, en prev3 de enero, estos casos siguen sin ser reconocidos."
)
CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(HASH_KEY %in% as.character(unlist(C1_fech_nac_nas)))
}
#NAs
# SELECTING THE SAMPLE, CASES THAT DO NOT HAVE PROBLEMS
#_#_#_#_#_
set.seed(1245)
C1_fech_nac_not_ties<-
CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(!HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(C1_fech_nac_nas)),
as.character(unlist(menos_18_hash_caso_unico["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(stringi::stri_sub(id,-8,-1),"dmY")) %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years"))%>% #AGREGADO EN APR 2020.
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>% #AGREGADO EN APR 2020.
dplyr::as_tibble()%>%
janitor::clean_names()%>%
dplyr::select(row,hash_key,fech_ing, edad_al_ing, ano_bd, escolaridad_ultimo_ano_cursado,estado_conyugal,
numero_de_hijos,numero_de_hijos_ingreso_tratamiento_residencial,
edad_inicio_consumo,edad_inicio_sustancia_principal,fecha_ultimo_tratamiento)%>%
# sample_frac(.05)%>%
na.omit()%>%
dplyr::mutate(rn=row_number())
#escolaridad último año cursado
C1_fech_nac_not_ties_1<-
C1_fech_nac_not_ties %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,escolaridad_ultimo_ano_cursado,rn)%>%
tidyr::spread(escolaridad_ultimo_ano_cursado, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_not_ties, by=c("rn"="rn"))left_join: added 12 columns (row, hash_key, fech_ing, edad_al_ing, ano_bd, …) > rows only in x 0 > rows only in y ( 0) > matched rows 57,972 > ======== > rows total 57,972 #estado conyugal
C1_fech_nac_not_ties_1<-
C1_fech_nac_not_ties %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,estado_conyugal,rn)%>%
tidyr::spread(estado_conyugal, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_not_ties_1, by=c("rn"="rn"))left_join: added 22 columns (escolaridad_ultimo_ano_cursado_BASICA COMPLETA, escolaridad_ultimo_ano_cursado_BASICA INCOMPLETA, escolaridad_ultimo_ano_cursado_MEDIA COMPLETA, escolaridad_ultimo_ano_cursado_MEDIA INCOMPLETA, escolaridad_ultimo_ano_cursado_NO SABE O NO SE APLICA, …) > rows only in x 0 > rows only in y ( 0) > matched rows 57,972 > ======== > rows total 57,972 #fecha último tratamiento
C1_fech_nac_not_ties_summ<-
C1_fech_nac_not_ties_1 %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,fecha_ultimo_tratamiento,rn)%>%
tidyr::spread(fecha_ultimo_tratamiento, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_not_ties_1, by=c("rn"="rn")) %>%
dplyr::select(-estado_conyugal,-escolaridad_ultimo_ano_cursado,-fecha_ultimo_tratamiento,-rn)%>%
dplyr::select(row:edad_inicio_sustancia_principal,starts_with("estado_conyugal"),
starts_with("escolaridad_ultimo"),starts_with("fecha_ultimo_trat"))left_join: added 31 columns (estado_conyugal_Anulado, estado_conyugal_Casado, estado_conyugal_Conviviente, estado_conyugal_conviviente civil, estado_conyugal_Divorciado, …) > rows only in x 0 > rows only in y ( 0) > matched rows 57,972 > ======== > rows total 57,972 #_#_#_#_#_#_#_
#nunca poner na.omit aquí, porque necesitamos imputar todos los casos
set.seed(1245)
C1_fech_nac_ties<-
CONS_C1_df_dup_ENE_2020_prev3 %>%
dplyr::filter(HASH_KEY %in% c(as.character(unlist(hash_fech_nac_most_recent_db_more_one_value_mfv_more_one_value_2b2["HASH_KEY"])),
as.character(unlist(hash_fech_nac_most_freq_value_more_one_value_2a2["HASH_KEY"])),
as.character(unlist(C1_fech_nac_nas)),
as.character(unlist(menos_18_hash_caso_unico["HASH_KEY"])),
as.character(unlist(hash_fech_nac_misma_bd_2_casos_3["HASH_KEY"]))))%>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(stringi::stri_sub(id,-8,-1),"dmY")) %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>% #AGREGADO EN APR 2020.
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>% #AGREGADO EN APR 2020.
dplyr::as_tibble()%>%
janitor::clean_names()%>%
dplyr::select(row,hash_key,edad,fech_nac,fech_ing, edad_al_ing, ano_bd, escolaridad_ultimo_ano_cursado,estado_conyugal,
numero_de_hijos,numero_de_hijos_ingreso_tratamiento_residencial,
edad_inicio_consumo,edad_inicio_sustancia_principal,fecha_ultimo_tratamiento)%>%
# sample_frac(.05)%>%
dplyr::mutate(rn=row_number())
C1_fech_nac_ties_1<-
C1_fech_nac_ties %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,escolaridad_ultimo_ano_cursado,rn)%>%
tidyr::spread(escolaridad_ultimo_ano_cursado, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_ties, by=c("rn"="rn"))left_join: added 14 columns (row, hash_key, edad, fech_nac, fech_ing, …) > rows only in x 0 > rows only in y ( 0) > matched rows 666 > ===== > rows total 666 #estado conyugal
C1_fech_nac_ties_1<-
C1_fech_nac_ties %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,estado_conyugal,rn)%>%
tidyr::spread(estado_conyugal, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_ties_1, by=c("rn"="rn"))left_join: added 24 columns (escolaridad_ultimo_ano_cursado_BASICA COMPLETA, escolaridad_ultimo_ano_cursado_BASICA INCOMPLETA, escolaridad_ultimo_ano_cursado_MEDIA COMPLETA, escolaridad_ultimo_ano_cursado_MEDIA INCOMPLETA, escolaridad_ultimo_ano_cursado_NO SABE O NO SE APLICA, …) > rows only in x 0 > rows only in y ( 0) > matched rows 666 > ===== > rows total 666 #fecha último tratamiento
C1_fech_nac_ties_summ<-
C1_fech_nac_ties_1 %>%
dplyr::mutate(var = 1) %>%
dplyr::select(var,fecha_ultimo_tratamiento,rn)%>%
tidyr::spread(fecha_ultimo_tratamiento, var, fill = 0, sep = "_") %>%
left_join(C1_fech_nac_ties_1, by=c("rn"="rn")) %>%
dplyr::select(-estado_conyugal,-escolaridad_ultimo_ano_cursado,-fecha_ultimo_tratamiento,-rn)%>%
dplyr::select(row:edad_inicio_sustancia_principal,starts_with("estado_conyugal"),
starts_with("escolaridad_ultimo"),starts_with("fecha_ultimo_trat"))%>%
#dejo los nas como 0.
dplyr::mutate(edad_inicio_consumo=replace_na(edad_inicio_consumo,0))%>%
dplyr::mutate(numero_de_hijos_ingreso_tratamiento_residencial=replace_na(numero_de_hijos_ingreso_tratamiento_residencial,0))left_join: added 31 columns (estado_conyugal_Casado, estado_conyugal_Conviviente, estado_conyugal_Divorciado, estado_conyugal_Nocontesta, estado_conyugal_Separado, …) > rows only in x 0 > rows only in y ( 0) > matched rows 666 > ===== > rows total 666 #C1_fech_nac_ties_summ: Para probar todos los NAs
#nrow(C1_fech_nac_ties_summ[!complete.cases(C1_fech_nac_ties_summ), ])
#2022
C1_fech_nac_ties_summ_lapply<-
unlist(lapply(C1_fech_nac_ties_summ, class))
C1_fech_nac_ties_summ_m_mat<-
data.matrix(C1_fech_nac_ties_summ)
C1_fech_nac_ties_summ_mat<-
data.table(C1_fech_nac_ties_summ)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#nn: Neural Networks using nnet
#https://rdrr.io/cran/radiant.model/man/nn.html
#https://radiant-rstats.github.io/radiant.model/reference/nn.html
#https://radiant-rstats.github.io/docs/model/nn.html
#result <- radiant::nn(C1_fech_nac_ties, "fech_nac", "edad:edad_inicio_sustancia_principal", type = "regression")
result_fech_nac0<- nn(
C1_fech_nac_not_ties_summ,
rvar = "edad_al_ing", #The response variable in the model
evar = c(
"ano_bd",
"numero_de_hijos",
"edad_inicio_consumo",
"edad_inicio_sustancia_principal"
), #Explanatory variables in the model
type = "regression", #Model type (i.e., "classification" or "regression")
#lev= The level in the response variable defined as _success_
#size= Number of units (nodes) in the hidden layer
#decay= Parameter decay
#wts= Weights to use in estimation
#seed= Random seed to use as the starting point
#check= Optional estimation parameters ("standardize" is the default)
#data_filter= Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
#form= Optional formula to use instead of rvar and evar // Ocupar formula
seed = 1245
)
#The model can be “tuned” by changing the Size (i.e., the number of nodes in the hidden layer)
#and by adjusting the Decay rate. The higher the value set for Decay, the higher the penalty on
#the size of (the sum of squares of) the weights. When Decay is set to 0, the model has the most
#flexibility to fit the (training) data accurately. However, without Decay the model is also more
#likely to overfit.
#The best way to determine the optimal values for Size and Decays is to use Cross-Validation.
#In radiant, you can use the cv.nn function for this purpose.
#cv.nn: Cross-validation for a Neural Network
#https://radiant-rstats.github.io/radiant.model/reference/cv.nn.html
#K= número de cv pasa para usar
#repeats= cv repetido
#decay= decaimiento en parámetros
#size=número de nodos en la capa oculta
#seed= semilla aleatoria como inicio
#trace= imprimir progreso
#fun= función para usar evaluación del modelo (auc para clasificación, RMSE para regresión; también está Rsq)
#https://rdrr.io/cran/radiant.model/man/auc.html
#https://rdrr.io/cran/radiant.model/man/RMSE.html
#https://rdrr.io/cran/radiant.model/man/profit.html
result_fech_nac_all_cv<- cv.nn(result_fech_nac0, K= 10, decay = seq(0, 1, .5), size = 1:5, fun = RMSE, trace=T, seed=1245)Working on size 1 decay 0
Working on size 1 decay 0.5
Working on size 1 decay 1
Working on size 2 decay 0
Working on size 2 decay 0.5
Working on size 2 decay 1
Working on size 3 decay 0
Working on size 3 decay 0.5
Working on size 3 decay 1
Working on size 4 decay 0
Working on size 4 decay 0.5
Working on size 4 decay 1
Working on size 5 decay 0
Working on size 5 decay 0.5
Working on size 5 decay 1 #cv.nn(result, decay = seq(0, 1, .5), size = 1:2, fun = profit, cost = 1, margin = 5)
#30 minutos se demora en sacar size 1:4 con 4 fragmentos en decay
#selecciono los parámetros que permitan hacer la mejor estimación
nn_fech_nac_par<-result_fech_nac_all_cv[which(result_fech_nac_all_cv$`RMSE (mean)`==min(result_fech_nac_all_cv$`RMSE (mean)`)),c("decay","size","RMSE (mean)")]
result_fech_nac<- nn(
data.frame(C1_fech_nac_ties_summ_m_mat)[c("edad_al_ing", "ano_bd","numero_de_hijos","edad_inicio_consumo","edad_inicio_sustancia_principal")],
#2020
#C1_fech_nac_not_ties_summ[c("edad_al_ing", "ano_bd","numero_de_hijos","edad_inicio_consumo","edad_inicio_sustancia_principal")],
rvar = "edad_al_ing",
evar = c(
"ano_bd",
"numero_de_hijos",
"edad_inicio_consumo",
"edad_inicio_sustancia_principal"
),
type = "regression",
decay= as.numeric(nn_fech_nac_par[1]),
size= as.numeric(nn_fech_nac_par[2]),
seed = 1245
)
#33 MINUTOS DURA
#predict(result, pred_cmd = "carat = 1:3")
#https://radiant-rstats.github.io/radiant.model/reference/predict.nn.html
#pred_data= Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
#pred_cmd= Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions
#for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings,
#(e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
#dec= Number of decimals to show
#envir= Environment to extract data from#' 2022, modificaciones= Predict method for the nn function
#'
#' @details See \url{https://radiant-rstats.github.io/docs/model/nn.html} for an example in Radiant
#'
#' @param object Return value from \code{\link{nn}}
#' @param pred_data Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
#' @param pred_cmd Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, (e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
#' @param dec Number of decimals to show
#' @param envir Environment to extract data from
#' @param ... further arguments passed to or from other methods
#'
#' @examples
#' result <- nn(titanic, "survived", c("pclass", "sex"), lev = "Yes")
#' predict(result, pred_cmd = "pclass = levels(pclass)")
#' result <- nn(diamonds, "price", "carat:color", type = "regression")
#' predict(result, pred_cmd = "carat = 1:3")
#' predict(result, pred_data = diamonds) %>% head()
#'
#' @seealso \code{\link{nn}} to generate the result
#' @seealso \code{\link{summary.nn}} to summarize results
#'
#' @export
predict.nn <- function(
object, pred_data = NULL, pred_cmd = "",
dec = 3, envir = parent.frame(), ...
) {
if (is.character(object)) return(object)
## ensure you have a name for the prediction dataset
if (is.data.frame(pred_data)) {
df_name <- deparse(substitute(pred_data))
} else {
df_name <- pred_data
}
pfun <- function(model, pred, se, conf_lev) {
pred_val <- try(sshhr(predict(model, pred)), silent = TRUE)
if (!inherits(pred_val, "try-error")) {
pred_val %<>% as.data.frame(stringsAsFactors = FALSE) %>%
select(1) %>%
set_colnames("Prediction")
}
pred_val
}
predict_model(object, pfun, "nn.predict", pred_data, pred_cmd, conf_lev = 0.95, se = FALSE, dec, envir = envir) %>%
set_attr("radiant_pred_data", df_name)
}
#' Print method for predict.nn
#'
#' @param x Return value from prediction method
#' @param ... further arguments passed to or from other methods
#' @param n Number of lines of prediction results to print. Use -1 to print all lines
#'
#' @export
print.nn.predict <- function(x, ..., n = 10)
print_predict_model(x, ..., n = n, header = "Neural Network")
#' Cross-validation for a Neural Network
#'
#' @details See \url{https://radiant-rstats.github.io/docs/model/nn.html} for an example in Radiant
#'
#' @param object Object of type "nn" or "nnet"
#' @param K Number of cross validation passes to use
#' @param repeats Repeated cross validation
#' @param size Number of units (nodes) in the hidden layer
#' @param decay Parameter decay
#' @param seed Random seed to use as the starting point
#' @param trace Print progress
#' @param fun Function to use for model evaluation (i.e., auc for classification and RMSE for regression)
#' @param ... Additional arguments to be passed to 'fun'
#'
#' @return A data.frame sorted by the mean of the performance metric
#'
#' @seealso \code{\link{nn}} to generate an initial model that can be passed to cv.nn
#' @seealso \code{\link{Rsq}} to calculate an R-squared measure for a regression
#' @seealso \code{\link{RMSE}} to calculate the Root Mean Squared Error for a regression
#' @seealso \code{\link{MAE}} to calculate the Mean Absolute Error for a regression
#' @seealso \code{\link{auc}} to calculate the area under the ROC curve for classification
#' @seealso \code{\link{profit}} to calculate profits for classification at a cost/margin threshold
#'
#' @importFrom nnet nnet.formula
#' @importFrom shiny getDefaultReactiveDomain withProgress incProgress
#'
#' @examples
#' \dontrun{
#' result <- nn(dvd, "buy", c("coupon", "purch", "last"))
#' cv.nn(result, decay = seq(0, 1, .5), size = 1:2)
#' cv.nn(result, decay = seq(0, 1, .5), size = 1:2, fun = profit, cost = 1, margin = 5)
#' result <- nn(diamonds, "price", c("carat", "color", "clarity"), type = "regression")
#' cv.nn(result, decay = seq(0, 1, .5), size = 1:2)
#' cv.nn(result, decay = seq(0, 1, .5), size = 1:2, fun = Rsq)
#' }
#'
#' @export
#a 4-5-1 network with 31 weights
result_fech_nac_all_cv_pred<- predict(result_fech_nac, pred_data = C1_fech_nac_ties_summ)
check_obj("result_fech_nac_all_cv_pred")
#debemos eliminar los NAs
if (no_es==0){
print(paste0("comprobar si se reemplazó los valores perdidos por un 0.",
"Independiente de ello, si los lleno, al final los casos hacen un match perfecto a futuro"))
C1_fech_nac_ties_1[!complete.cases(C1_fech_nac_ties_1[, c("ano_bd","numero_de_hijos", "edad_inicio_consumo", "edad_inicio_sustancia_principal")]),
c("ano_bd","numero_de_hijos", "edad_inicio_consumo", "edad_inicio_sustancia_principal")]
}
result_fech_nac_all_cv_pred<-
result_fech_nac_all_cv_pred %>%
mutate(concat=paste0(ano_bd,"_",numero_de_hijos,"_",edad_inicio_consumo,"_",edad_inicio_sustancia_principal))
# rm(list= ls()[!(ls() %in% c('result_fech_nac','C1_fech_nac_ties_summ', 'result_fech_nac_all_cv','nn_fech_nac_par','result_fech_nac_all_cv_pred'))])
C1_fech_nac_ties_summ <-C1_fech_nac_ties_summ%>%
mutate(concat=paste0(ano_bd,"_",numero_de_hijos,"_",edad_inicio_consumo,"_",edad_inicio_sustancia_principal))
exists("C1_fech_nac_ties_summ") [1] TRUE #para los que tienen empates:
#saco un promedio de las edades al ingreso originales predichas.
#veo cuál d e las edades empatadas se acerca más a este promedio.
#me quedo con esa.
fech_nac_edad_al_ing_replace_mas_un_caso <-
result_fech_nac_all_cv_pred%>%
dplyr::rename("numero_de_hijos2"="numero_de_hijos",
"edad_inicio_consumo2"="edad_inicio_consumo",
"edad_inicio_sustancia_principal2"="edad_inicio_sustancia_principal",
"concat3"="concat")%>%
cbind(C1_fech_nac_ties_summ[c("row","hash_key", "fech_nac","edad_al_ing","fech_ing")])%>%
dplyr::select(-starts_with("concat"))%>%
dplyr::mutate(fech_nac_corr= ifelse(ano_bd==2019,
as.Date("2019-11-13")-Prediction*365.25, #as.numeric(as.Date("2019-11-13"))
as.Date("2019-11-05")-Prediction*365.25))%>%#18213 #as.numeric(as.Date("2019-11-05"))
dplyr::mutate(fech_nac_corr=zoo::as.Date(fech_nac_corr))%>%
dplyr::group_by(hash_key)%>%
dplyr::mutate(mean_pr=mean(fech_nac_corr),
diff_pr_ed_ing=as.Date(as.character(fech_nac))-fech_nac_corr,
n_por_hash=n())%>%
dplyr::filter(n_por_hash>=2,diff_pr_ed_ing==min(diff_pr_ed_ing))
fech_nac_edad_al_ing_replace <-
result_fech_nac_all_cv_pred%>%
dplyr::rename("numero_de_hijos2"="numero_de_hijos",
"edad_inicio_consumo2"="edad_inicio_consumo",
"edad_inicio_sustancia_principal2"="edad_inicio_sustancia_principal",
"concat3"="concat")%>%
cbind(C1_fech_nac_ties_summ[c("row","hash_key", "fech_nac","edad_al_ing","fech_ing")])%>%
dplyr::select(-starts_with("concat"))%>%
dplyr::mutate(fech_nac_corr= ifelse(ano_bd==2019,
as.Date("2019-11-13")-Prediction*365.25, #as.numeric(as.Date("2019-11-13"))
as.Date("2019-11-05")-Prediction*365.25))%>%#18213 #as.numeric(as.Date("2019-11-05"))
dplyr::mutate(fech_nac_corr=zoo::as.Date(fech_nac_corr))%>%
dplyr::group_by(hash_key)%>%
dplyr::mutate(mean_pr=mean(fech_nac_corr),
diff_pr_ed_ing=as.Date(as.character(fech_nac))-fech_nac_corr,
n_por_hash=n())
fech_nac_edad_replace_nas <-
result_fech_nac_all_cv_pred%>%
dplyr::rename("numero_de_hijos2"="numero_de_hijos",
"edad_inicio_consumo2"="edad_inicio_consumo",
"edad_inicio_sustancia_principal2"="edad_inicio_sustancia_principal",
"concat3"="concat")%>%
cbind(C1_fech_nac_ties_summ[c("row","hash_key","edad", "fech_nac","edad_al_ing","fech_ing")])%>%
dplyr::select(-starts_with("concat"))%>%
dplyr::mutate(fech_nac_corr= ifelse(ano_bd==2019,
as.Date("2019-11-13")-Prediction*365.25, #as.numeric(as.Date("2019-11-13"))
as.Date("2019-11-05")-Prediction*365.25))%>%#18213 #as.numeric(as.Date("2019-11-05")) #18213 -8
dplyr::mutate(fech_nac_corr=zoo::as.Date(fech_nac_corr))%>%
dplyr::group_by(hash_key)%>%
dplyr::mutate(n_por_hash=n())%>%
dplyr::filter(n_por_hash<2)%>%
dplyr::filter(is.na(edad))
check_obj("fech_nac_edad_al_ing_replace_mas_un_caso")To obtain valid dates, we predicted the date of admission of each case. We generated a total of 10 cross-validations, with alternatives of 1 to 5 layers, and a threshold of 0, 0.5 and 1 in every model (10x5x3). The model that obtained the best fit (RMSE (mean)= 8.68) had a size of 5 layers, and a threshold for weights of 0 (L2 penalty).
#plot(CONS_C1_df_dup_ENE_2020_prev2$ano_nac, CONS_C1_df_dup_ENE_2020_prev2$Edad, ylab="Age", xlab="Year of Birth")
#https://github.com/radiant-rstats/radiant.model/blob/master/R/nn.R
#' Plot method for the nn function
#'
#' @details See \url{https://radiant-rstats.github.io/docs/model/nn.html} for an example in Radiant
#'
#' @param x Return value from \code{\link{nn}}
#' @param shiny Did the function call originate inside a shiny app
#' @param plots Plots to produce for the specified Neural Network model. Use "" to avoid showing any plots (default). Options are "olden" or "garson" for importance plots, or "net" to depict the network structure
#' @param size Font size used
#' @param pad_x Padding for explanatory variable labels in the network plot. Default value is 0.9, smaller numbers (e.g., 0.5) increase the amount of padding
#' @param nrobs Number of data points to show in dashboard scatter plots (-1 for all)
#' @param custom Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and \url{https://ggplot2.tidyverse.org} for options.
#' @param ... further arguments passed to or from other methods
#'
#' @examples
#' result <- nn(titanic, "survived", c("pclass", "sex"), lev = "Yes")
#' plot(result, plots = "net")
#' plot(result, plots = "olden")
#'
#' @seealso \code{\link{nn}} to generate results
#' @seealso \code{\link{summary.nn}} to summarize results
#' @seealso \code{\link{predict.nn}} for prediction
#'
#' @importFrom NeuralNetTools plotnet olden garson
#' @importFrom graphics par
#'
#' @export
plot.nn <- function(
x, plots = "garson", size = 12, pad_x = 0.9, nrobs = -1,
shiny = FALSE, custom = FALSE, ...
) {
if (is.character(x) || !inherits(x$model, "nnet")) return(x)
plot_list <- list()
ncol <- 1
if ("olden" %in% plots || "olsen" %in% plots) { ## legacy for typo
plot_list[["olsen"]] <- NeuralNetTools::olden(x$model, x_lab = x$coefnames, cex_val = 4) +
coord_flip() +
theme_set(theme_gray(base_size = size)) +
theme(legend.position = "none") +
labs(title = paste0("Olden plot of variable importance (size = ", x$size, ", decay = ", x$decay, ")"))
}
if ("garson" %in% plots) {
plot_list[["garson"]] <- NeuralNetTools::garson(x$model, x_lab = x$coefnames) +
coord_flip() +
theme_set(theme_gray(base_size = size)) +
theme(legend.position = "none") +
labs(title = paste0("Garson plot of variable importance (size = ", x$size, ", decay = ", x$decay, ")"))
}
if ("net" %in% plots) {
## don't need as much spacing at the top and bottom
mar <- par(mar = c(0, 4.1, 0, 2.1))
on.exit(par(mar = mar$mar))
return(do.call(NeuralNetTools::plotnet, list(mod_in = x$model, x_names = x$coefnames, pad_x = pad_x, cex_val = size / 16)))
}
if ("pdp" %in% plots) {
ncol <- 2
for (pn in x$evar) {
plot_list[[pn]] <- pdp::partial(
x$model, pred.var = pn, plot = TRUE, rug = TRUE,
prob = x$type == "classification", plot.engine = "ggplot2"
) + labs(y = "")
}
}
if (x$type == "regression" && "dashboard" %in% plots) {
plot_list <- plot.regress(x, plots = "dashboard", lines = "line", nrobs = nrobs, custom = TRUE)
ncol <- 2
}
if (length(plot_list) > 0) {
if (custom) {
if (length(plot_list) == 1) plot_list[[1]] else plot_list
} else {
patchwork::wrap_plots(plot_list, ncol = ncol) %>%
{if (shiny) . else print(.)}
}
}
}
mar <- par(mar = c(0, 0, 0, 0))
on.exit(par(mar = mar$mar))
plot(result_fech_nac, plots = "net", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)
Figure 3. Neural Network of Date of Birth
# C1_fech_nac_nas<- CONS_C1_df_dup_ENE_2020_prev52 %>% dplyr::filter(is.na(fech_nac))%>% distinct(HASH_KEY)
#plot(result_fech_nac, plots = "net", custom=T,size = 9, pad_x = 0.9, nrobs = -1,cex_val = 3)
summary(result_fech_nac)Neural Network
Activation function : Linear (regression)
Data : data.frame(C1_fech_nac_ties_summ_m_mat)[c("edad_al_ing", "ano_bd", "numero_de_hijos", "edad_inicio_consumo", "edad_inicio_sustancia_principal")]
Response variable : edad_al_ing
Explanatory variables: ano_bd, numero_de_hijos, edad_inicio_consumo, edad_inicio_sustancia_principal
Network size : 5
Parameter decay : 0
Seed : 1245
Network : 4-5-1 with 31 weights
Nr obs : 436
Weights :
b->h1 i1->h1 i2->h1 i3->h1 i4->h1
-92.38 2.32 -464.17 18.38 -182.88
b->h2 i1->h2 i2->h2 i3->h2 i4->h2
69.27 10.05 161.87 -205.72 452.75
b->h3 i1->h3 i2->h3 i3->h3 i4->h3
-1.19 6.17 -10.09 -0.46 -2.56
b->h4 i1->h4 i2->h4 i3->h4 i4->h4
-31.31 7.03 -313.62 -13.41 -17.58
b->h5 i1->h5 i2->h5 i3->h5 i4->h5
0.98 4.89 0.15 -0.71 4.47
b->o h1->o h2->o h3->o h4->o h5->o
0.25 -0.88 -0.37 -0.72 0.60 0.52 CONS_C1_df_dup_ENE_2020_prev52_NA<-
CONS_C1_df_dup_ENE_2020_prev52 %>%
dplyr::filter(HASH_KEY %in% as.character(unlist(C1_fech_nac_nas[,c("HASH_KEY")])))%>%
janitor::clean_names()%>%
dplyr::select(row,hash_key,fech_nac,fech_ing, edad_al_ing, ano_bd, escolaridad_ultimo_ano_cursado,estado_conyugal,
numero_de_hijos,numero_de_hijos_ingreso_tratamiento_residencial,
edad_inicio_consumo,edad_inicio_sustancia_principal,fecha_ultimo_tratamiento)%>%
dplyr::left_join(fech_nac_edad_replace_nas,"row", suffix=c("","_y"))%>%
dplyr::rename("fech_nac_original"="fech_nac_y")%>%
dplyr::select(-ends_with("_y"),-edad_inicio_sustancia_principal2, -edad_inicio_consumo2)%>%
#sacar fechas de nacimiento inválidas, es decir, aquellas que son menores a la edad de inicio de consumo. Sólo un caso
dplyr::mutate(edad_invalida=ifelse((edad_inicio_sustancia_principal>Prediction)|(edad_inicio_consumo>Prediction),1,0))%>%
dplyr::filter(edad_invalida==0)%>%
dplyr::mutate(fech_nac_corr=as.character(fech_nac_corr))
#39 usuarios
less_15_hash_more_one_age<-
CONS_C1_df_dup_ENE_2020_prev52 %>%
dplyr::filter(Edad_al_ing<15)%>%
distinct(HASH_KEY)
CONS_C1_df_dup_ENE_2020_prev52_menos_15<-
CONS_C1_df_dup_ENE_2020_prev52 %>%
dplyr::filter(HASH_KEY %in% as.character(unlist(less_15_hash_more_one_age[,c("HASH_KEY")])))%>%
# dplyr::filter(HASH_KEY!="616a9f5147684b5bb649eff9936db849")%>%
janitor::clean_names()%>%
dplyr::select(row,hash_key,fech_nac,fech_ing, edad_al_ing, ano_bd, escolaridad_ultimo_ano_cursado,estado_conyugal,
numero_de_hijos,numero_de_hijos_ingreso_tratamiento_residencial,
edad_inicio_consumo,edad_inicio_sustancia_principal,fecha_ultimo_tratamiento)%>%
dplyr::left_join(fech_nac_edad_al_ing_replace,"row", suffix=c("","_y"))%>%
dplyr::rename("fech_nac_original"="fech_nac_y")%>%
dplyr::select(-ends_with("_y"),-edad_inicio_sustancia_principal2, -edad_inicio_consumo2)%>%
#sacar fechas de nacimiento inválidas, es decir, aquellas que son menores a la edad de inicio de consumo. Sólo un caso
dplyr::mutate(edad_invalida=ifelse((edad_inicio_sustancia_principal>Prediction)|(edad_inicio_consumo>Prediction),1,0))%>%
dplyr::filter(edad_invalida==0)%>%
dplyr::mutate(fech_nac_corr=as.character(fech_nac_corr))
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#HACER REEMPLAZO.
#CONS_C1_df_dup_ENE_2020_prev52_NA
#CONS_C1_df_dup_ENE_2020_prev52_menos_16
CONS_C1_df_dup_ENE_2020_prev52 %>%
#NAs
dplyr::left_join(CONS_C1_df_dup_ENE_2020_prev52_NA, by=c("HASH_KEY"="hash_key"),suffix=c("","_NAs")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_ENE_2020_prev52_NA["hash_key"])))))~glue::glue("{OBS};1.6.XX.NAs_ANN"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_corr),as.character(fech_nac_corr),as.character(fech_nac))) %>%
dplyr::select(-ends_with("_NAs")) %>%
dplyr::select(-edad_al_ing, -escolaridad_ultimo_ano_cursado, -estado_conyugal, -numero_de_hijos,
-numero_de_hijos_ingreso_tratamiento_residencial, -edad_inicio_consumo, -edad_inicio_sustancia_principal, -fech_nac_corr,
-fecha_ultimo_tratamiento, -numero_de_hijos2, -edad, -fech_nac_original, -n_por_hash, -edad_invalida)%>% #fech_nac_corr
# dplyr::filter(!is.na(fech_nac_corr))%>%
dplyr::rename("Edad_al_ing_NAs"="Prediction")%>%
#menos 15
dplyr::left_join(CONS_C1_df_dup_ENE_2020_prev52_menos_15, by=c("HASH_KEY"="hash_key"),suffix=c("","_menos_15")) %>%
dplyr::mutate(OBS=case_when(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_ENE_2020_prev52_menos_15["hash_key"])))))~glue::glue("{OBS}1.6.XX.Age of less than 15 at admission"),TRUE~OBS))%>%
dplyr::mutate(fech_nac= ifelse(!is.na(fech_nac_corr),fech_nac_corr,as.character(fech_nac))) %>%
dplyr::select(-ends_with("_menos_15")) %>%
dplyr::rename("Edad_al_ing_less15"="Prediction")%>%
dplyr::select(-edad_al_ing, -escolaridad_ultimo_ano_cursado, -estado_conyugal, -numero_de_hijos, -numero_de_hijos_ingreso_tratamiento_residencial, -edad_inicio_consumo, -edad_inicio_sustancia_principal, -fecha_ultimo_tratamiento, -numero_de_hijos2, -fech_nac_original, -mean_pr, -diff_pr_ed_ing, -n_por_hash, -edad_invalida, -fech_nac_corr)%>%
#transformación de variables
dplyr::mutate(id=`substr<-`(id,6,13,gsub("-", "",format(as.Date(lubridate::parse_date_time(as.Date(fech_nac),"Ymd")),"%d%m%Y")))) %>%
#dplyr::mutate(id=`substr<-`(id,6,13,fech_nac)) %>%
dplyr::mutate(id_mod=sub("(.{5}).", "\\1*",id)) %>%
dplyr::mutate(id_mod=sub("(.{6}).", "\\1*",id_mod)) %>%
dplyr::mutate(fech_nac=lubridate::parse_date_time(as.character(as.Date(fech_nac)),"Ymd")) %>%
dplyr::mutate(ano_nac= as.numeric(stringi::stri_sub(as.character(fech_nac),1,4))) %>%
dplyr::mutate(Edad= as.integer(lubridate::time_length(difftime(as.Date("2019-11-13"),as.Date(fech_nac)),"years"))) %>%
dplyr::mutate(Edad_al_ing=lubridate::time_length(difftime(as.Date(fech_ing), as.Date(fech_nac)),"years")) %>%
dplyr::mutate(Edad_al_ing=replace(Edad_al_ing, is.na(Edad), NA)) %>%
assign("CONS_C1_df_dup_ENE_2020_prev53",., envir = .GlobalEnv)
save.image(paste0(path,"/1_5.Rdata"))4.3. Summary
By doing this, we lowered as much as possible the quantity of distinct information by HASH that may be contradictory. However, many of these inconsistencies can be resolved with SENDA professionals.
- Age (Edad) (0)
- SENDA ID (id) (3,413)
- Masked SENDA ID (id_mod) (3,413)
- Year of Birth (ano_nac) (0)
- Date of Birth (fech_nac) (0)
5. Standardization of Some Variables
In this stage, we applied most of the recommendations made by SENDAs professionals:
- Deletion of cases in Parole (n= 1)
- Collapse the different plan types into the following: PG-PAB, PG-PAI, PG-PR, M-PAB, M-PAI, and M-PR.
- Standardize type of plan by sex and gender identity
- Declare as invalid the age of onset of drug use if they are higher than the current age
- Declare as invalid if the age of drug use of the main substance.
- Declare pregnancy as invalid data in men
- Declare days treated as invalid if their value is less than 0
- Define early and late drop-outs
- Collapse and Standardize Substances into the following categories: hallucinogens (such as LSD, mushrooms); cocaine; amphetamine-type stimulants (eg., methamphetamine, ecstasy); inhalants; marijuana; opioids (eg., heroin, methadone, painkillers); cocaine paste base and crack; other substances; sedatives, hypnotics and tranquilizers; and others (such as anabolic steroids)
- Declare as an invalid value the category “No substance use” in substance variables
- Collapse marital status into the following categories: Married or in shared living arrangements; separated or divorced; single; and widowed
- Collapse the occupational condition into an occupational status composed of three categories: Employed, Unemployed and Inactive
- Restrict the occupational category exclusively to users that responded as actively working
- Collapse Ages into five groups: More than 45 years, 36-45 years, 30-35 years, 25-29 years, and 18 to 24 years
- Collapse motive of admission to treatment into spontaneous consultation, referral from a health center (primary health care level or others from the private and public health network),referral from an SUD treatment center (or other drug-related programs such as FONODROGAS), stated from the judicial system (such as First instance and guarantee courts, family courts, or other attorney offices), and other (such as the educational system, work, or social services not related to justice and health)
- Collapse educational attainment into three categories: completed primary school or less, completed or incomplete high school, more than high school
- Declare the category “Unknown” of the route of administration of the main substance as an invalid value
- Declare the category “Unknown” of the frequency of consumption of the main Substance as an invalid value
CONS_C1_df_dup_ENE_2020_prev53 %>%
dplyr::filter(is.na(Tipo.de.Plan) | Tipo.de.Plan != "PAI LV") %>% #Deletion of cases in Parole. OJO, TAMBIÉN ELIMINO A NA'S, BAJO A 188086 CASOS. Rows= 57716, 9972 Y 6736. Con el is.na, los mantengo.
# Ver si se pueden reemlpazar. La verdad es que no hay otro ingreso.
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(concat %in% c("ebc40285ab6f4db453d9830453ec578a_2014_5_19", #"72c54d822de128e52f10511f3eb2d19f_2009_12_14", "03390de37aa8a95707905d07c33c0a97_2010_7_30"))
#LV se elimina el tipo de plan
dplyr::mutate(OBS= case_when(Tipo.de.Plan %in% c("M-PAI2","M-PR2","PG PAI 2","Otro","CALLE") ~paste0(as.character(OBS),";","1.7.01. Collapsed Treatment Plans"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(tipo_de_plan=dplyr::recode(Tipo.de.Plan,"M-PAI2"= "M-PAI", "M-PR2"="M-PR","PG PAI 2"="PG-PAI", "Otro"="PG-PR", "CALLE"="PG-PR"))%>%
#Table 10. Type of Plan by Gender Identity and Sex
#En SER 2020, dejé los Calle y Otro en PG-PAB, pero ahora lo dejaré en PG-PR
dplyr::mutate(OBS= case_when(identidad.de.genero=="Masculino" & sexo=="Hombre" & tipo_de_plan %in% c("M-PAI", "M-PR", "M-PAB") ~paste0(as.character(OBS),";","1.7.02. Standardized Plans By Sex & Gender Id"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(tipo_de_plan=ifelse(identidad.de.genero=="Masculino" & sexo=="Hombre" & tipo_de_plan=="M-PAI","PG-PAI", as.character(tipo_de_plan))) %>%
dplyr::mutate(tipo_de_plan=ifelse(identidad.de.genero=="Masculino" & sexo=="Hombre" & tipo_de_plan=="M-PR","PG-PR", as.character(tipo_de_plan))) %>%
dplyr::mutate(tipo_de_plan=ifelse(identidad.de.genero=="Masculino" & sexo=="Hombre" & tipo_de_plan=="M-PAB","PG-PAB", as.character(tipo_de_plan))) %>%
dplyr::mutate(tipo_de_plan=as.factor(tipo_de_plan)) %>%
#Si la edad de inicio de consumo es mayor a la edad actual, lo mismo la edad de iniciación a la sustancia principal, las declaro perdidas.
dplyr::mutate(OBS=case_when(Edad.Inicio.Consumo>Edad ~ paste0(as.character(OBS),";","1.7.03. Invalid Age Of Onset of Drug Use, Higher than age"),
TRUE ~ as.character(as.character(OBS))))%>% #dplyr::filter(Edad.Inicio.Consumo>Edad)
dplyr::mutate(edad_ini_cons= ifelse(Edad.Inicio.Consumo<=Edad, Edad.Inicio.Consumo, NA)) %>%
dplyr::mutate(OBS=case_when(Edad.Inicio..Sustancia.Principal.>Edad ~ paste0(as.character(OBS),";","1.7.04. Invalid Age Of Onset of Primary Substance, Higher than age"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(edad_ini_sus_prin= ifelse(Edad.Inicio..Sustancia.Principal.<=Edad, Edad.Inicio..Sustancia.Principal., NA)) %>% #dplyr::filter(Edad.Inicio..Sustancia.Principal.>Edad)
#CONS_C1_df_dup_ENE_2020_prev5 %>% dplyr::filter(Edad.Inicio.Consumo>20) %>% dplyr::mutate(edad_ini_cons= ifelse(Edad.Inicio.Consumo<=Edad, Edad.Inicio.Consumo, NA)) %>% dplyr::select(Edad, Edad.Inicio.Consumo, edad_ini_cons)
#Si se inicia en la sustancia principal o inicia el consum a una edad menor a 5 años, lo declaro como perdido.
dplyr::mutate(OBS=case_when(edad_ini_cons<5 ~ paste0(as.character(OBS),";","1.7.05. Invalid Age Of Onset of Drug Use, < 5 yrs age"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(edad_ini_cons= ifelse(edad_ini_cons<5,NA,edad_ini_cons)) %>%
dplyr::mutate(OBS=case_when(edad_ini_sus_prin<5 ~ paste0(as.character(OBS),";","1.7.06. Invalid Age Of Onset of Primary Substance, < 5 yrs age"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(edad_ini_sus_prin= ifelse(edad_ini_sus_prin<5,NA,edad_ini_sus_prin)) %>%
#CONS_C1_df_dup_ENE_2020_prev3 %>% dplyr::filter(embarazo=="Si") %>% group_by(sexo) %>% summarise(n())
#Embarazos en hombres se declaran como perdidos
#dplyr::mutate(OBS=if_else(embarazo=="Si" & sexo=="Hombre",paste0(as.character(OBS),";","1.7.07. Invalid Pregnancy= Pregnant Man"), as.character(OBS)))%>%
dplyr::mutate(OBS=case_when(embarazo=="Si" & sexo=="Hombre" ~paste0(as.character(OBS),";","1.7.07. Invalid Pregnancy= Pregnant Man"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(embarazo= ifelse(embarazo=="Si" & sexo=="Hombre",NA,as.character(embarazo))) %>%
#dplyr::mutate(embarazo= dplyr::recode("1"="No","2"="Si")) %>%
dplyr::mutate(embarazo=as.factor(embarazo)) %>%
# mutate(mpg=replace(mpg, cyl==4, NA)) %>%
#CAMBIOS DIAS
dplyr::mutate(OBS=case_when(dias_trat<0 ~ paste0(as.character(OBS),";","1.7.08. Negative Treatment Days, Changed Treat Days"),
TRUE ~ as.character(OBS)))%>%
dplyr::mutate(dias_trat=replace(dias_trat,dias_trat<0, NA)) %>%
assign("CONS_C1_df_dup_ENE_2020_prev6",., envir = .GlobalEnv)
#glue::glue("{OBS};1.7.07. Invalid Pregnancy= Pregnant Man"),OBS))
#157322 156785 dplyr::filter(row %in% c("157322", "156785"))
#dplyr::filter(row %in% c("157322", "156775","156785"))
#View(table(CONS_C1_df_dup_ENE_2020_prev6$OBS))
#View(table(CONS_C1_df_dup_ENE_2020$obs))
#CONS_C1_df_dup_ENE_2020_prev3 %>% dplyr::mutate(dias_trat_alta_temprana=ifelse(dias_trat>90,0,1)) %>% dplyr::group_by(dias_trat_alta_temprana,motivodeegreso) %>% summarise(n())
CONS_C1_df_dup_ENE_2020_prev6 %>%
dplyr::mutate(dias_trat_alta_temprana=ifelse(dias_trat>=90,0,1)) %>%
dplyr::mutate(dias_trat_alta_temprana=as.factor(dias_trat_alta_temprana)) %>%
dplyr::mutate(dias_trat_alta_temprana= dplyr::recode(dias_trat_alta_temprana, "1"="Menos de 90 días", "0"="Mayor o igual a 90 días")) %>%
dplyr::mutate(motivodeegreso_mod= ifelse(dias_trat_alta_temprana=="Menos de 90 días" & motivodeegreso=="Abandono", "Abandono Temprano",as.character(motivodeegreso))) %>%
dplyr::mutate(motivodeegreso_mod= ifelse(dias_trat_alta_temprana=="Mayor o igual a 90 días" & motivodeegreso=="Abandono", "Abandono Tardio",as.character(motivodeegreso_mod))) %>%
dplyr::mutate(motivodeegreso_mod= dplyr::case_when(grepl("trativa",as.character(motivodeegreso_mod))~"Alta Administrativa",TRUE~as.character(motivodeegreso_mod)))%>%
dplyr::mutate(motivodeegreso_mod=as.factor(motivodeegreso_mod)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Sustancia.Principal))
dplyr::mutate(sus_principal= as.character(Sustancia.Principal)) %>%
dplyr::mutate(sus_principal= dplyr::recode(sus_principal,
"Hipnóticos "= "Tranquilizantes e Hipnóticos",
"Sedantes: diazepam, Valium, clonazepam, Ravotril, alprazolam, adax, barbitúricos, fenobarbital." = "Tranquilizantes e Hipnóticos",
"Anfetaminas"="Estimulante tipo anfetaminas",
"Extasis"="Estimulante tipo anfetaminas",
"Fenilciclidina"="Estimulante tipo anfetaminas",
"Metanfetaminas y otros derivados"="Estimulante tipo anfetaminas",
"Otros Estimulantes"="Estimulante tipo anfetaminas",
"LSD"="Alucinógenos",
"Otros Alucinógenos"="Alucinógenos",
"Crack"="Pasta Base",
"Heroína"="Opioides",
"Metadona"="Opioides",
"Otros Opioides Analgésicos: morfina, codeína, meperidina, demerol, tramadol, tramal."="Opioides",
"Inhalables: neopren, GHB, óxido nitroso (gas hilarante), \"poppers\", solventes, gasolina, diluyente"="Inhalables",
"Esteroides Anabólicos"="Otros")) %>%
dplyr::mutate(sus_principal=as.factor(sus_principal)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Otras.Sustancias.nº1))
dplyr::mutate(otras_sus1=as.character(`Otras.Sustancias.nº1`)) %>%
dplyr::mutate(otras_sus1= dplyr::recode(otras_sus1,
"Hipnóticos "= "Tranquilizantes e Hipnóticos",
"Sedantes: diazepam, Valium, clonazepam, Ravotril, alprazolam, adax, barbitúricos, fenobarbital." = "Tranquilizantes e Hipnóticos",
"Anfetaminas"="Estimulante tipo anfetaminas",
"Extasis"="Estimulante tipo anfetaminas",
"Fenilciclidina"="Estimulante tipo anfetaminas",
"Metanfetaminas y otros derivados"="Estimulante tipo anfetaminas",
"Otros Estimulantes"="Estimulante tipo anfetaminas",
"LSD"="Alucinógenos",
"Otros Alucinógenos"="Alucinógenos",
"Crack"="Pasta Base",
"Heroína"="Opioides",
"Metadona"="Opioides",
"Otros Opioides Analgésicos: morfina, codeína, meperidina, demerol, tramadol, tramal."="Opioides",
"Inhalables: neopren, GHB, óxido nitroso (gas hilarante), \"poppers\", solventes, gasolina, diluyente"="Inhalables",
"Esteroides Anabólicos"="Otros",
"Hongos"="Alucinógenos")) %>%
dplyr::mutate(OBS=case_when(otras_sus1=="SIN CONSUMO" ~ paste0(OBS,";","1.7.09. Other Substances1, Invalid due to No Consumption"),
TRUE ~ OBS))%>%
dplyr::mutate(otras_sus1= dplyr::na_if(otras_sus1, "SIN CONSUMO")) %>%
dplyr::mutate(otras_sus1=as.factor(otras_sus1)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Otras.Sustancias.nº2))
dplyr::mutate(otras_sus2=as.character(`Otras.Sustancias.nº2`)) %>%
dplyr::mutate(otras_sus2= dplyr::recode(otras_sus2,
"Hipnóticos "= "Tranquilizantes e Hipnóticos",
"Sedantes: diazepam, Valium, clonazepam, Ravotril, alprazolam, adax, barbitúricos, fenobarbital." = "Tranquilizantes e Hipnóticos",
"Anfetaminas"="Estimulante tipo anfetaminas",
"Extasis"="Estimulante tipo anfetaminas",
"Fenilciclidina"="Estimulante tipo anfetaminas",
"Metanfetaminas y otros derivados"="Estimulante tipo anfetaminas",
"Otros Estimulantes"="Estimulante tipo anfetaminas",
"LSD"="Alucinógenos",
"Otros Alucinógenos"="Alucinógenos",
"Crack"="Pasta Base",
"Heroína"="Opioides",
"Metadona"="Opioides",
"Otros Opioides Analgésicos: morfina, codeína, meperidina, demerol, tramadol, tramal."="Opioides",
"Inhalables: neopren, GHB, óxido nitroso (gas hilarante), \"poppers\", solventes, gasolina, diluyente"="Inhalables",
"Esteroides Anabólicos"="Otros",
"Hongos"="Alucinógenos")) %>%
dplyr::mutate(OBS=case_when(otras_sus2=="SIN CONSUMO"~paste0(OBS,";","1.7.10. Other Substances2, Invalid due to No Consumption"),
TRUE ~ OBS))%>%
dplyr::mutate(otras_sus2= dplyr::na_if(otras_sus2, "SIN CONSUMO")) %>%
dplyr::mutate(otras_sus2=as.factor(otras_sus2)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Otras.Sustancias.nº3))
dplyr::mutate(otras_sus3=as.character(`Otras.Sustancias.nº3`)) %>%
dplyr::mutate(otras_sus3= dplyr::recode(otras_sus3,
"Hipnóticos "= "Tranquilizantes e Hipnóticos",
"Sedantes: diazepam, Valium, clonazepam, Ravotril, alprazolam, adax, barbitúricos, fenobarbital." = "Tranquilizantes e Hipnóticos",
"Anfetaminas"="Estimulante tipo anfetaminas",
"Extasis"="Estimulante tipo anfetaminas",
"Fenilciclidina"="Estimulante tipo anfetaminas",
"Metanfetaminas y otros derivados"="Estimulante tipo anfetaminas",
"Otros Estimulantes"="Estimulante tipo anfetaminas",
"LSD"="Alucinógenos",
"Otros Alucinógenos"="Alucinógenos",
"Crack"="Pasta Base",
"Heroína"="Opioides",
"Metadona"="Opioides",
"Otros Opioides Analgésicos: morfina, codeína, meperidina, demerol, tramadol, tramal."="Opioides",
"Inhalables: neopren, GHB, óxido nitroso (gas hilarante), \"poppers\", solventes, gasolina, diluyente"="Inhalables",
"Esteroides Anabólicos"="Otros",
"Hongos"="Alucinógenos")) %>%
dplyr::mutate(OBS=case_when(otras_sus3=="SIN CONSUMO"~paste0(OBS,";","1.7.11. Other Substances3, Invalid due to No Consumption"),
TRUE ~ OBS))%>%
dplyr::mutate(otras_sus3= dplyr::na_if(otras_sus3, "SIN CONSUMO")) %>%
dplyr::mutate(otras_sus3=as.factor(otras_sus3)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Sustancia.de.Inicio))
dplyr::mutate(sus_ini=as.character(Sustancia.de.Inicio)) %>%
dplyr::mutate(sus_ini= dplyr::recode(sus_ini,
"Hipn?os "= "Tranquilizantes e Hipnóticos",
"Sedantes: diazepam, Valium, clonazepam, Ravotril, alprazolam, adax, barbit?os, fenobarbital." = "Tranquilizantes e Hipnóticos",
"Anfetaminas"="Estimulante tipo anfetaminas",
"Extasis"="Estimulante tipo anfetaminas",
"Fenilciclidina"="Estimulante tipo anfetaminas",
"Metanfetaminas y otros derivados"="Estimulante tipo anfetaminas",
"Otros Estimulantes"="Estimulante tipo anfetaminas",
"LSD"="Alucinógenos",
"Otros Alucin?os"="Alucinógenos",
"Crack"="Pasta Base",
"Hero?"="Opioides",
"Coca?"="Cocaína",
"Metadona"="Opioides",
"Otros Opioides Analg?cos: morfina, code?, meperidina, demerol, tramadol, tramal."="Opioides",
"Inhalables: neopren, GHB, ?o nitroso (gas hilarante), \"poppers\", solventes, gasolina, diluyente"="Inhalables",
"Esteroides Anabólicos"="Otros",
"Hongos"="Alucinógenos")) %>%
dplyr::mutate(sus_ini=as.factor(sus_ini)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Estado.Conyugal))
#marital status (single, married/with partner, separated/divorced, widow)
dplyr::mutate(estado_conyugal=ifelse(as.character(Estado.Conyugal)=="Casado"|as.character(Estado.Conyugal)=="Conviviente"|as.character(Estado.Conyugal)=="conviviente civil", "Casado/Conviviente",stringr::str_trim(as.character(Estado.Conyugal)))) %>%
dplyr::mutate(estado_conyugal=ifelse(estado_conyugal=="Separado"|estado_conyugal=="Divorciado"|estado_conyugal=="Anulado", "Separado/Divorciado",estado_conyugal)) %>%
dplyr::mutate(OBS=case_when(estado_conyugal=="Nocontesta"~paste0(OBS,";","1.7.12. Marital State, Invalid due to No Response"),
TRUE~OBS))%>%
dplyr::mutate(estado_conyugal=ifelse(estado_conyugal=="Nocontesta",NA,estado_conyugal)) %>%
dplyr::mutate(estado_conyugal=as.factor(estado_conyugal)) %>%
#occupational status (inactive, unemployed, employed)
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Condicion.Ocupacional))
#
#Esta variable busca establecer si la persona desarrolló alguna actividad laboral o productiva, es decir, si participó en la producción de un bien o servicio para la venta o para el autoconsumo, por un mínimo de una hora semanal en la semana anterior (lunes a domingo) a la entrevista. Los quehaceres del hogar no son considerados una actividad productiva o ‘razón de ocupación’.
#Si la respuesta es afirmativa se debe seleccionar la opción “Trabajando actualmente” Si la persona No Trabajó, interesa saber si está Desocupada (“busca trabajo por primera vez” o “cesante”) o Inactiva (que corresponde al resto de la opciones, quehaceres del hogar, estudiando, jubilado, etc.)
#
#Inactivo, desempleado, empleado
# Buscando trabajo por primera vez | 245 0.21 0.21
# Cesante | 43,299 36.67 36.87
# Estudiando sin trabajar | 1,353 1.15 38.02
#Incapacitado permanente para trabajar | 294 0.25 38.27
# NA | 1 0.00 38.27
# No busca Trabajo | 1,250 1.06 39.33
# Otra razón | 1,348 1.14 40.47
# Pensionado o jubilado sin trabajar | 1,872 1.59 42.05
# Quehaceres del hogar | 7,683 6.51 48.56
# Rentista | 78 0.07 48.63
# Sin actividad | 7,449 6.31 54.93
# Trabajando actualmente | 53,120 44.98 99.92
# Trabajando y estudiando | 97 0.08 100.00
dplyr::mutate(estatus_ocupacional=ifelse(Condicion.Ocupacional=="Trabajando actualmente","Empleado",
ifelse(Condicion.Ocupacional=="Buscando trabajo por primera vez"|Condicion.Ocupacional=="Cesante",
"Desempleado","Inactivo"))) %>%
dplyr::mutate(estatus_ocupacional=as.factor(estatus_ocupacional)) %>%
#Comprende la relación entre una persona económicamente activa y su trabajo o empleo. Sólo se aplica aquellas personas que se encuentran trabajando al momento de ingresar a tratamiento (las que respondieron 1 en la pregunta anterior). Para las personas que no están trabajando (estudiantes, cesante, etc.) esta opción estará bloqueada.
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Categoría.Ocupacional))
dplyr::mutate(cat_ocupacional=ifelse(Condicion.Ocupacional!="Trabajando actualmente",NA,as.character(`Categoría.Ocupacional`))) %>%
dplyr::mutate(cat_ocupacional=as.factor(cat_ocupacional)) %>%
#18-24, 25- 29, 30-35, 36-45, and 45+.
dplyr::mutate(Edad_grupos=ifelse(Edad>45,">45",
ifelse(Edad>=36,"36-45",
ifelse(Edad>=30,"30-35",
ifelse(Edad>=25,"25-29",
ifelse(Edad>=18,"18-24",
NA)))))) %>%
dplyr::mutate(Edad_grupos=as.factor(Edad_grupos)) %>%
# motive of admission to treatment (spontaneous consultation, referral from a health center, indicated in the judicial system, other)
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Origen.de.Ingreso))
dplyr::mutate(origen_ingreso=ifelse(as.character(Origen.de.Ingreso)=="Consulta Espontánea", "Consulta Espontánea",as.character(Origen.de.Ingreso))) %>%
dplyr::mutate(origen_ingreso=ifelse(origen_ingreso=="Establecimiento Educacional"|origen_ingreso=="Otros"|origen_ingreso=="Trabajo (empresa o empleador)"|origen_ingreso=="Servicios Sociales u otros (iglesia, Mideplan, ser. comunitarios, etc.)", "Otros",origen_ingreso)) %>%
dplyr::mutate(origen_ingreso=ifelse(origen_ingreso=="Juzgado con Competencia en Crimen"|origen_ingreso=="Juzgado de Garantía"|origen_ingreso=="Libertad Vigilada"|origen_ingreso=="Juzgado de Familia"|origen_ingreso=="Juzgado de Policía"|origen_ingreso=="Otros (fiscalía)","Sector Justicia",origen_ingreso)) %>%
dplyr::mutate(origen_ingreso=ifelse(origen_ingreso=="Otros de la Red de Salud General Privado"|origen_ingreso=="Estab. de APS"|origen_ingreso=="Estab. de APS "|origen_ingreso=="Otros de la Red de Salud General Público", "Sector Salud", origen_ingreso)) %>%
dplyr::mutate(origen_ingreso=ifelse(origen_ingreso=="Otro Centro Tratamiento Drogas"|origen_ingreso=="FONODROGAS"|origen_ingreso=="Previene","Otro Centro Tratamiento Drogas/FONODROGAS/Previene",origen_ingreso)) %>%
dplyr::mutate(origen_ingreso=as.factor(origen_ingreso)) %>%
# education attainment (completed primary school or less, completed or incomplete high school, more that high school)
# data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Escolaridad..último.año.cursado.))
dplyr::mutate(escolaridad=ifelse(as.character(`Escolaridad..último.año.cursado.`)=="BASICA COMPLETA"|as.character(`Escolaridad..último.año.cursado.`)=="BASICA INCOMPLETA"|as.character(`Escolaridad..último.año.cursado.`)=="SIN ESTUDIOS","Ed Primaria Completa o Menor",as.character(`Escolaridad..último.año.cursado.`))) %>%
dplyr::mutate(OBS=case_when(escolaridad=="NO SABE O NO SE APLICA"~paste0(OBS,";","1.7.13. Educational Attainment, Invalid due to No Response"),
TRUE ~ OBS))%>%
dplyr::mutate(escolaridad=ifelse(escolaridad=="MEDIA COMPLETA"|escolaridad=="MEDIA INCOMPLETA","Ed Secundaria Completa o Menor",
ifelse(escolaridad=="NO SABE O NO SE APLICA",NA,
ifelse(escolaridad %in% c("TECNICA COMPLETA", "TECNICA INCOMPLETA", "UNIVERSITARIA COMPLETA O MAS", "UNIVERSITARIA INCOMPLETA"), "Mayor a Ed Secundaria",escolaridad)))) %>%
dplyr::mutate(escolaridad=as.factor(escolaridad)) %>%
# pattern of drug used (daily, 4 to 6 days a week, 2 to 3 days a week, 1 day a week or less),
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Vía.Administración..Sustancia.Principal.))
dplyr::mutate(via_adm_sus_prin=as.character(`Vía.Administración..Sustancia.Principal.`))%>%
dplyr::mutate(OBS=case_when(via_adm_sus_prin== "No sabe"~paste0(OBS,";","1.7.14. Route of Adm Primary Substance, Invalid due to Unknown"),
TRUE ~ OBS))%>%
dplyr::mutate(via_adm_sus_prin=ifelse(via_adm_sus_prin== "No sabe",NA,as.character(via_adm_sus_prin))) %>%
dplyr::mutate(via_adm_sus_prin=as.factor(via_adm_sus_prin)) %>%
#data.table(table(CONS_C1_df_dup_ENE_2020_prev3$Frecuencia.de.Consumo..Sustancia.Principal.))
dplyr::mutate(freq_cons_sus_prin=as.character(Frecuencia.de.Consumo..Sustancia.Principal.))%>%
dplyr::mutate(OBS=case_when(freq_cons_sus_prin== "Desconocida"~paste0(OBS,";","1.7.15. Frequency of Consumption Primary Substance, Invalid due to Unknown"),
TRUE ~ OBS))%>%
dplyr::mutate(freq_cons_sus_prin=ifelse(freq_cons_sus_prin== "Desconocida",NA,as.character(freq_cons_sus_prin))) %>%
dplyr::mutate(freq_cons_sus_prin=as.factor(freq_cons_sus_prin)) %>%
as.data.frame(.) %>%
assign("CONS_C1_df_dup_ENE_2020",., envir = .GlobalEnv)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`Diagnóstico.Trs..Psiquiátrico.CIE.10`) <- c('En estudio(NA)' = 1,
'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)' = 2,
'Retraso Mental(F70-79)' = 3,
'Sin trastorno(NA)' = 4,
'Trastornos de la conducta alimentaria(F50)' = 5,
'Trastornos de la personalidad y del comportamiento del adulto(F60-69)' = 6,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 7,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)' = 8,
'Trastornos del Desarrollo Psicológico(F80-89)' = 9,
'Trastornos del humor (afectivos).(F30-39)' = 10,
'Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)' = 11,
'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)' = 12,
'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)' = 13)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`X2.Diagnóstico.Trs..Psiquiátrico.CIE.10`) <- c('En estudio(NA)' = 1,
'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)' = 2,
'Retraso Mental(F70-79)' = 3,
'Sin trastorno(NA)' = 4,
'Trastornos de la conducta alimentaria(F50)' = 5,
'Trastornos de la personalidad y del comportamiento del adulto(F60-69)' = 6,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 7,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)' = 8,
'Trastornos del Desarrollo Psicológico(F80-89)' = 9,
'Trastornos del humor (afectivos).(F30-39)' = 10,
'Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)' = 11,
'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)' = 12,
'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)' = 13)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`X3.Diagnóstico.Trs..Psiquiátrico.CIE.10`) <- c('En estudio(NA)' = 1,
'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)' = 2,
'Retraso Mental(F70-79)' = 3,
'Sin trastorno(NA)' = 4,
'Trastornos de la conducta alimentaria(F50)' = 5,
'Trastornos de la personalidad y del comportamiento del adulto(F60-69)' = 6,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 7,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)' = 8,
'Trastornos del Desarrollo Psicológico(F80-89)' = 9,
'Trastornos del humor (afectivos).(F30-39)' = 10,
'Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)' = 11,
'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)' = 12,
'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)' = 13)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10`) <- c('Abuso de sustancias que no producen dependencia(F55X)' = 1,
'Delirium no inducido por alcohol u otras sustancias psicotropas(F059)' = 2,
'Demencia en enfermedades clasificadas en otro lugar(F02)' = 3,
'Demencia sin especificación(F03)' = 4,
'Demencia vascular(F01)' = 5,
'Episodios depresivos(F32)' = 6,
'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)' = 7,
'Otros trastornos de ansiedad(F41)' = 8,
'Otros trastornos de la personalidad y del comportamiento del adulto(F68)' = 9,
'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)' = 10,
'Otros trastornos del desarrollo psicológico(F88)' = 11,
'Otros trastornos del humor (afectivos)(F38)' = 12,
'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)' = 13,
'Otros trastornos neuróticos(F48)' = 14,
'Otros trastornos psicóticos no orgánicos(F28)' = 15,
'Psicosis no orgánica sin especificación(F29)' = 16,
'Reacciones a estrés grave y trastornos de adaptación(F43)' = 17,
'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)' = 18,
'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)' = 19,
'Trastorno bipolar(F31)' = 20,
'Trastorno de ideas delirantes inducidas(F24)' = 21,
'Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)' = 22,
'Trastorno del desarrollo psicológico sin especificación(F89)' = 23,
'Trastorno depresivo recurrente(F33)' = 24,
'Trastorno específico del desarrollo mixto(F83)' = 25,
'Trastorno esquizotípico.(F21)' = 26,
'Trastorno generalizado del desarrollo sin especificación(F849)' = 27,
'Trastorno mental orgánico o sintomático sin especificación(F09)' = 28,
'Trastorno mental sin especificación(F99)' = 29,
'Trastorno obsesivo-compulsivo(F42)' = 30,
'Trastornos de ideas delirantes persistentes.(F22)' = 31,
'Trastornos de la identidad sexual(F64)' = 32,
'Trastornos de la inclinación sexual(F65)' = 33,
'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)' = 34,
'Trastornos de las emociones de comienzo habitual en la infancia(F93)' = 35,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 36,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)' = 37,
'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)' = 38,
'Trastornos del humor (afectivos) persistentes(F34)' = 39,
'Trastornos disociales(F91)' = 40,
'Trastornos disociales y de las emociones mixtos(F92)' = 41,
'Trastornos disociativos (de conversión)(F44)' = 42,
'Trastornos específicos de la personalidad(F60)' = 43,
'Trastornos específicos del desarrollo del aprendizaje escolar(F81)' = 44,
'Trastornos esquizoafectivos(F25)' = 45,
'Trastornos generalizados del desarrollo(F84)' = 46,
'Trastornos Hipercineticos(F90)' = 47,
'Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar(F53)' = 48,
'Trastornos mixtos y otros trastornos de la personalidad(F61)' = 49,
'Trastornos no orgánicos del sueño(F51)' = 50,
'Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales(F66)' = 51,
'Trastornos psicóticos agudos y transitorios(F23)' = 52,
'Trastornos somatomorfos(F45)' = 53)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`X2.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10`) <- c('Abuso de sustancias que no producen dependencia(F55X)' = 1,
'Delirium no inducido por alcohol u otras sustancias psicotropas(F059)' = 2,
'Demencia en enfermedades clasificadas en otro lugar(F02)' = 3,
'Demencia en la enfermedad de Alzheimer(F00)' = 4,
'Disfunción sexual no orgánica(F52)' = 5,
'Episodios depresivos(F32)' = 6,
'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)' = 7,
'Otros trastornos de ansiedad(F41)' = 8,
'Otros trastornos de la personalidad y del comportamiento del adulto(F68)' = 9,
'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)' = 10,
'Otros trastornos del desarrollo psicológico(F88)' = 11,
'Otros trastornos del humor (afectivos)(F38)' = 12,
'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)' = 13,
'Otros trastornos neuróticos(F48)' = 14,
'Otros trastornos psicóticos no orgánicos(F28)' = 15,
'Psicosis no orgánica sin especificación(F29)' = 16,
'Reacciones a estrés grave y trastornos de adaptación(F43)' = 17,
'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)' = 18,
'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)' = 19,
'Trastorno bipolar(F31)' = 20,
'Trastorno de ideas delirantes inducidas(F24)' = 21,
'Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)' = 22,
'Trastorno del desarrollo psicológico sin especificación(F89)' = 23,
'Trastorno depresivo recurrente(F33)' = 24,
'Trastorno esquizotípico.(F21)' = 25,
'Trastorno generalizado del desarrollo sin especificación(F849)' = 26,
'Trastorno mental orgánico o sintomático sin especificación(F09)' = 27,
'Trastorno mental sin especificación(F99)' = 28,
'Trastorno obsesivo-compulsivo(F42)' = 29,
'Trastornos de ideas delirantes persistentes.(F22)' = 30,
'Trastornos de la conducta alimentaria(F50)' = 31,
'Trastornos de la identidad sexual(F64)' = 32,
'Trastornos de la inclinación sexual(F65)' = 33,
'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)' = 34,
'Trastornos de las emociones de comienzo habitual en la infancia(F93)' = 35,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 36,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)' = 37,
'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)' = 38,
'Trastornos del humor (afectivos) persistentes(F34)' = 39,
'Trastornos disociales(F91)' = 40,
'Trastornos disociales y de las emociones mixtos(F92)' = 41,
'Trastornos disociativos (de conversión)(F44)' = 42,
'Trastornos específicos de la personalidad(F60)' = 43,
'Trastornos específicos del desarrollo del aprendizaje escolar(F81)' = 44,
'Trastornos esquizoafectivos(F25)' = 45,
'Trastornos generalizados del desarrollo(F84)' = 46,
'Trastornos Hipercineticos(F90)' = 47,
'Trastornos mixtos y otros trastornos de la personalidad(F61)' = 48,
'Trastornos no orgánicos del sueño(F51)' = 49,
'Trastornos psicóticos agudos y transitorios(F23)' = 50,
'Trastornos somatomorfos(F45)' = 51)
codebook::val_labels(CONS_C1_df_dup_ENE_2020$`X3.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10`) <- c('Delirium no inducido por alcohol u otras sustancias psicotropas(F059)' = 1,
'Demencia vascular(F01)' = 2,
'Episodios depresivos(F32)' = 3,
'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)' = 4,
'Otros trastornos de ansiedad(F41)' = 5,
'Otros trastornos de la personalidad y del comportamiento del adulto(F68)' = 6,
'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)' = 7,
'Otros trastornos del desarrollo psicológico(F88)' = 8,
'Otros trastornos del humor (afectivos)(F38)' = 9,
'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)' = 10,
'Otros trastornos neuróticos(F48)' = 11,
'Otros trastornos psicóticos no orgánicos(F28)' = 12,
'Psicosis no orgánica sin especificación(F29)' = 13,
'Reacciones a estrés grave y trastornos de adaptación(F43)' = 14,
'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)' = 15,
'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)' = 16,
'Trastorno bipolar(F31)' = 17,
'Trastorno de ideas delirantes inducidas(F24)' = 18,
'Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)' = 19,
'Trastorno del desarrollo psicológico sin especificación(F89)' = 20,
'Trastorno depresivo recurrente(F33)' = 21,
'Trastorno específico del desarrollo mixto(F83)' = 22,
'Trastorno específico del desarrollo psicomotor(F82)' = 23,
'Trastorno esquizotípico.(F21)' = 24,
'Trastorno mental orgánico o sintomático sin especificación(F09)' = 25,
'Trastorno mental sin especificación(F99)' = 26,
'Trastorno obsesivo-compulsivo(F42)' = 27,
'Trastornos de ideas delirantes persistentes.(F22)' = 28,
'Trastornos de la conducta alimentaria(F50)' = 29,
'Trastornos de la identidad sexual(F64)' = 30,
'Trastornos de la inclinación sexual(F65)' = 31,
'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)' = 32,
'Trastornos de las emociones de comienzo habitual en la infancia(F93)' = 33,
'Trastornos de los hábitos y del control de los impulsos(F63)' = 34,
'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)' = 35,
'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)' = 36,
'Trastornos del humor (afectivos) persistentes(F34)' = 37,
'Trastornos disociales y de las emociones mixtos(F92)' = 38,
'Trastornos disociativos (de conversión)(F44)' = 39,
'Trastornos específicos de la personalidad(F60)' = 40,
'Trastornos específicos del desarrollo del aprendizaje escolar(F81)' = 41,
'Trastornos esquizoafectivos(F25)' = 42,
'Trastornos Hipercineticos(F90)' = 43,
'Trastornos mixtos y otros trastornos de la personalidad(F61)' = 44,
'Trastornos no orgánicos del sueño(F51)' = 45,
'Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales(F66)' = 46,
'Trastornos psicóticos agudos y transitorios(F23)' = 47,
'Trastornos somatomorfos(F45)' = 48)
#http://www.edras.cl/wg/data.edras.cl/resources-files-repository/Clasificacion_de_trastornos_mentales_CIE10.pdfwrite.csv2(CONS_C1_df_dup_ENE_2020, file ="CONS_C1_df_dup_ENE_2020.csv")
6. Exploratory Probabilistic Deduplication
One of the main objectives of this stage of the project is to identify and separate each treatment for each user in a given time as a unique entity. This is shown in diagram of data preparation. The standardization of the age let us reduce a great amount of comparisons between every pair of records, making matching more feasible in terms of computational resources. For example, if we decided to compare each pair under consideration, we would have the number of cases (n= 118,088) multiplied by itself, leading to a total of 13,944,775,744 comparisons. To reach our objective, it was necessary to explore the principal causes that explain why or how a case matched with another. From duplicated cases, we knew how many records shared the same HASH and date of admission. But we needed to explore whether there would be other possible rules that would help to identify distinct treatments.
6.1 Perfect Duplicates of HASH and Date of Admission
#create the duplicated dataset, following the recommendation to separate columns
duplicated_rows_concat <- data.frame(duplicated_HASH_date = duplicated(CONS_C1_df_dup_ENE_2020[,c("HASH_KEY","fech_ing_ano","fech_ing_mes","fech_ing_dia")]),
row_dup_HASH_date = 1:nrow(CONS_C1_df_dup_ENE_2020[,c("HASH_KEY","fech_ing_ano","fech_ing_mes","fech_ing_dia")])) #%>%
#arroja 117,620 casos únicos, aunque son muchos menos
as.data.table(CONS_C1_df_dup_ENE_2020)[, dup_hash_date := .N, by = c("HASH_KEY","fech_ing_ano","fech_ing_mes","fech_ing_dia")] %>% ##dim() #arroja 117,190 casos únicos. PERO CUIDADO: EN LOS QUE TIENEN 2, 3, 4, 5 Y MÁS, HAY CASOS QUE SON ÚNICOS TAMBIÉN (POR ESO UN DISTINCT NO LOS CAPTURA)
dplyr::group_by(dup_hash_date) %>%
dplyr::summarise(n=n()) %>%
dplyr::mutate(perc = round(n / sum(n),2)*100) %>%
dplyr::mutate(perc = paste0(perc,"%")) %>%
dplyr::mutate(Tot.Cases = n/dup_hash_date) %>%
# Duplicated rows
# data.frame(table(duplicated_rows_concat$duplicated_HASH_date,exclude=NULL),
# `%`=paste0(round(prop.table(table(duplicated_rows_concat$duplicated_HASH_date,exclude=NULL)),3)*100,"%")) %>%
# as.data.frame(.) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 13. Times that the combination of HASH-Key & Date of Admission may appear in the dataset",
col.names= c("Times", " Frequencies", "Percentage", "Unique Cases"), align =rep('c', 4)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 12)`summarise()` ungrouping output (override with `.groups` argument)| Times | Frequencies | Percentage | Unique Cases |
|---|---|---|---|
| 1 | 117,189 | 99% | 117,189 |
| 2 | 798 | 1% | 399 |
| 3 | 72 | 0% | 24 |
| 4 | 24 | 0% | 6 |
| 5 | 5 | 0% | 1 |
In Table 13 we can see that most of the cases had at least one case with the same combination of HASH-Key and date of admission.
require(zoo)
#CONS_C1_df_dup_ENE_2020 %>%
as.data.table(CONS_C1_df_dup_ENE_2020)[, dup_hash_date := .N, by = c("HASH_KEY","fech_ing_ano","fech_ing_mes","fech_ing_dia")] %>%
dplyr::mutate(fech_ing_qrt=zoo::as.yearqtr(fech_ing)) %>%
dplyr::select(fech_ing_qrt,dup_hash_date) %>% dplyr::group_by(fech_ing_qrt) %>%
dplyr::summarise(duplicated = sum(dup_hash_date>1),n = sum(dup_hash_date), perc_dup=duplicated/n) %>%
dplyr::filter(fech_ing_qrt>=2007) %>%
ggplot2::ggplot(aes(x = fech_ing_qrt, y = perc_dup, label = paste0("n=",n))) +
geom_line(color = "#0076A8", size=1) +
#geom_text(aes(x = fech_ing_qrt, y = perc_dup-0.05, label = paste0(n)), vjust = -1,hjust = 0, angle=45, size=3) +
theme_bw() +
labs(y="% of Duplicated Data",x="Years & Quarters, Date of Admission",caption="Note. Two cases with date of admission before 2007 were ignored; Percentages indicate the number of entries that have the \n same HASH & date of admission one or more times divided by the number of cases that are admitted in each quarter and \nyear.") +
scale_y_continuous(limits=c(0, .075),labels = scales::percent) +
scale_x_yearqtr(format="%YQ%q", n=20) +
theme(axis.text.x = element_text(vjust = 0.5,hjust = 0.5,angle = 60), plot.caption=element_text(hjust=0)) 
Figure 4. Duplicated entries by year and quarter
#PARA RESULTADOS
dup_cases_quarter_n<-data.table::as.data.table(CONS_C1_df_dup_ENE_2020)[, dup_hash_date := .N, by = c("HASH_KEY","fech_ing_ano","fech_ing_mes","fech_ing_dia")] %>% dplyr::filter(dup_hash_date>1) %>% nrow()From Figure 4, we can see that people admitted to treatments from 2007 to 2008 presented most of the duplicated cases, while treatments that started from the second semester of 2015 had almost no duplicated cases. (n= 899).
Cases shown in Table 13 represent exact matches. But at this stage of the research, we needed to detect more complex patterns, in terms of cases with similar HASH-Key and date of admission. This approach is merely exploratory and aims to find cases with imperfect agreements on one or more of the variables. Once some variables are standardized, we would be able to use this approach to detect and replace values and erase duplicated cases. We ran data into a package in the software Stata called dtalink, with the following criteria:
- Hash Key: if matched, add 25 points; if not, subtract 25 points
- SENDA ID: if matched, add 25 points; if not, subtract 25 points
- Sex: if matched, add 10 points
- Center ID: if matched, add 10 points
- Date of Admission: if matched, add 30 points; if not, subtract 30 points. Also, we added a caliper of 5 days to still be considered as a match with a difference of 5 days or less.
- We added a Blocking variable of Age to reduce the time of computation and match each case within people with the same Age.
- We consider a significant match if it accumulates at least 70 points.
The code used in stata is shown here:
# import delimited "G:\Mi unidad\Alvacast\SISTRAT 2019 (github)\SUD_CL\CONS_C1_df_dup_ENE_2020.csv", delimiter(";") clear
#
# cap gen date_in = mdy(real_fech_ing_mes, real_fech_ing_dia, real_fech_ing_ano)
# cap gen date_in = mdy(fech_ing_mes, fech_ing_dia, fech_ing_ano)
#
# generate id_match = _n
# cap drop _id
# dtalink hash_key 25 -25 id 25 -25 sexo 10 0 idcentro 10 0 date_in 30 -30 5, block(edad) cutoff(70)
# drop if missing(_score)
# qui save "G:\Mi unidad\Alvacast\SISTRAT 2019 (github)\Stata Duplicates Match\_CONS_C1_df_match70_2020_02_11.dta", replace
#####to_export_labels
# export<-
# rbind(paste0('import delimited "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_ENE_2020.csv"')) %>%
# rbind('delimiter(";") clear')%>%
# rbind('cap gen date_in = mdy(real_fech_ing_mes, real_fech_ing_dia, real_fech_ing_ano)') %>%
# rbind(
export<-
data.frame(final="clear all") %>%
rbind("ssc install dtalink") %>%
rbind(paste0('import delimited "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_ENE_2020.csv"'))%>%
dplyr::rename("*final"="final") %>%
#rbind('delimiter(";") clear')%>%
rbind('cap gen date_in = mdy(real_fech_ing_mes, real_fech_ing_dia, real_fech_ing_ano)') %>%
rbind('cap gen date_in = mdy(fech_ing_mes, fech_ing_dia, fech_ing_ano)') %>%
rbind('generate id_match = _n') %>%
rbind('cap drop _id') %>%
rbind('dtalink hash_key 25 -25 id 25 -25 sexo 10 0 idcentro 10 0 date_in 30 -30 5, block(edad) cutoff(70)')%>% rbind('drop if missing(_score)')%>%
rbind(paste0('qui save "', gsub('/', '\\', path, fixed=T),'\\_CONS_C1_df_match70_2020_02_11.dta", replace'))
export %>% knitr::kable("html") %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size =10) | *final |
|---|
| clear all |
| ssc install dtalink |
| import delimited “C:Fondecytunidad (github)_C1_df_dup_ENE_2020.csv” |
| cap gen date_in = mdy(real_fech_ing_mes, real_fech_ing_dia, real_fech_ing_ano) |
| cap gen date_in = mdy(fech_ing_mes, fech_ing_dia, fech_ing_ano) |
| generate id_match = _n |
| cap drop _id |
| dtalink hash_key 25 -25 id 25 -25 sexo 10 0 idcentro 10 0 date_in 30 -30 5, block(edad) cutoff(70) |
| drop if missing(_score) |
| qui save “C:Fondecytunidad (github)_CONS_C1_df_match70_2020_02_11.dta”, replace |
write.table(export, file = paste0(path,"/SUD_CL/__stata_dtalink.do"), sep = "",row.names = FALSE, quote = FALSE,fileEncoding="UTF-8")*should be in the same folder of the .Rmd
cap do __stata_dtalink.domatches_from_stata_c1 <- haven::read_dta(paste0(path,"/Stata Duplicates Match/_CONS_C1_df_match70_2020_02_11.dta"))
matches_from_stata_c1 <-matches_from_stata_c1 %>% dplyr::rename(score = 3, matchID = 1, row_id=2)
matches_from_stata_c1 %>%
dplyr::arrange(score,matchID,hash_key) %>%
dplyr::select(score, matchID, hash_key, ano_bd, idcentro, date_in, fech_ing, fech_egres, edad, dias_trat) %>%
as.data.frame() %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 14. Preliminary View of Matches from Stata", align =rep('c', 100),
col.names= c("Score", " Pair ID", "HASH Key", "Yearly Dataset", "Center ID", "Date of\n Admission (num)", "Date of\nAdmission", "Date of\nDischarge", "Age", "Days of\n Treatment")) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| Score | Pair ID | HASH Key | Yearly Dataset | Center ID | Date of Admission (num) | Date of Admission | Date of Discharge | Age | Days of Treatment |
|---|---|---|---|---|---|---|---|---|---|
| 90 | 25 | cae3ce4f0d72b2bc5caec9bb0c248cbb | 2,017 | 427 | 20,165 | 2015-03-18 | 2017-02-28 | 32 | 713 |
| 90 | 25 | cae3ce4f0d72b2bc5caec9bb0c248cbb | 2,015 | 258 | 20,170 | 2015-03-23 | 2015-06-01 | 32 | 70 |
| 90 | 26 | da8446e2a23cc414fe90cdef5c328393 | 2,017 | 109 | 20,493 | 2016-02-09 | 2017-05-18 | 36 | 464 |
| 90 | 26 | da8446e2a23cc414fe90cdef5c328393 | 2,016 | 652 | 20,488 | 2016-02-04 | 2016-02-08 | 36 | 4 |
| 90 | 29 | 0420d8b5c6e37ec61fac25b8e7420098 | 2,016 | 215 | 20,411 | 2015-11-19 | 2016-03-02 | 25 | 104 |
| 90 | 29 | 0420d8b5c6e37ec61fac25b8e7420098 | 2,015 | 205 | 20,409 | 2015-11-17 | 2015-11-19 | 25 | 2 |
| 90 | 34 | 53bc5e00bb156a94ac9d28c3e4ea6bad | 2,016 | 290 | 20,622 | 2016-06-17 | 2016-07-18 | 31 | 31 |
| 90 | 34 | 53bc5e00bb156a94ac9d28c3e4ea6bad | 2,016 | 497 | 20,618 | 2016-06-13 | 2016-06-16 | 31 | 3 |
| 90 | 36 | 605f41215fb434557f055dbe69425ca7 | 2,016 | 591 | 19,848 | 2014-05-05 | 2016-02-25 | 63 | 661 |
| 90 | 36 | 605f41215fb434557f055dbe69425ca7 | 2,014 | 221 | 19,848 | 2014-05-05 | 2015-01-28 | 63 | 268 |
| 90 | 43 | 8ff9ddb833c166772b47ef7b213ee1fe | 2,016 | 215 | 20,755 | 2016-10-28 | 2016-12-12 | 26 | 45 |
| 90 | 43 | 8ff9ddb833c166772b47ef7b213ee1fe | 2,016 | 490 | 20,752 | 2016-10-25 | 2016-10-27 | 26 | 2 |
| 90 | 44 | a251bc3b8a8c9d5379c9f143e361beae | 2,016 | 591 | 19,948 | 2014-08-13 | 2016-03-16 | 36 | 581 |
| 90 | 44 | a251bc3b8a8c9d5379c9f143e361beae | 2,014 | 221 | 19,948 | 2014-08-13 | 2015-01-28 | 36 | 168 |
| 90 | 45 | a7303a4d5ebe8f9cd997b4a5c94a1063 | 2,016 | 591 | 19,929 | 2014-07-25 | 2016-02-25 | 51 | 580 |
| 90 | 45 | a7303a4d5ebe8f9cd997b4a5c94a1063 | 2,014 | 221 | 19,929 | 2014-07-25 | 2015-01-28 | 51 | 187 |
| 90 | 47 | d21691fef499fdd7950e08ffbe4bd85e | 2,016 | 591 | 19,953 | 2014-08-18 | 2016-03-30 | 65 | 590 |
| 90 | 47 | d21691fef499fdd7950e08ffbe4bd85e | 2,014 | 221 | 19,953 | 2014-08-18 | 2015-01-28 | 65 | 163 |
| 90 | 52 | 02f14eea313de5469675fd320aced2f0 | 2,015 | 591 | 19,757 | 2014-02-03 | 2015-09-14 | 50 | 588 |
| 90 | 52 | 02f14eea313de5469675fd320aced2f0 | 2,014 | 221 | 19,757 | 2014-02-03 | 2015-01-28 | 50 | 359 |
| 90 | 53 | 048d3d2bb9bcf7abb349df2eba2159a9 | 2,015 | 591 | 19,948 | 2014-08-13 | 2015-02-27 | 27 | 198 |
| 90 | 53 | 048d3d2bb9bcf7abb349df2eba2159a9 | 2,014 | 221 | 19,948 | 2014-08-13 | 2015-01-28 | 27 | 168 |
| 90 | 54 | 05dff3bdb42240fc43957a6164c72614 | 2,015 | 202 | 19,703 | 2013-12-11 | 2015-03-31 | 41 | 475 |
| 90 | 54 | 05dff3bdb42240fc43957a6164c72614 | 2,013 | 209 | 19,702 | 2013-12-10 | 2013-12-13 | 41 | 3 |
| 90 | 56 | 091097377864a64fc815e91874889a39 | 2,015 | 591 | 19,850 | 2014-05-07 | 2015-04-22 | 38 | 350 |
| 90 | 56 | 091097377864a64fc815e91874889a39 | 2,014 | 221 | 19,850 | 2014-05-07 | 2015-01-28 | 38 | 266 |
| 90 | 57 | 0f4f97817b2d74b2acfba08f84bd6864 | 2,015 | 591 | 19,880 | 2014-06-06 | 2015-09-30 | 50 | 481 |
| 90 | 57 | 0f4f97817b2d74b2acfba08f84bd6864 | 2,014 | 221 | 19,880 | 2014-06-06 | 2015-01-28 | 50 | 236 |
| 90 | 58 | 134b7ea569aa9ed5ba59d5ad22b16a69 | 2,015 | 591 | 19,512 | 2013-06-03 | 2015-02-27 | 73 | 634 |
| 90 | 58 | 134b7ea569aa9ed5ba59d5ad22b16a69 | 2,014 | 221 | 19,512 | 2013-06-03 | 2015-01-28 | 73 | 604 |
| 90 | 60 | 155df34fb2da8a81811226b70d301dd7 | 2,015 | 591 | 19,948 | 2014-08-13 | 2015-02-27 | 31 | 198 |
| 90 | 60 | 155df34fb2da8a81811226b70d301dd7 | 2,014 | 221 | 19,948 | 2014-08-13 | 2015-01-28 | 31 | 168 |
| 90 | 62 | 17e82828a754c5fbb4f83967371346cc | 2,015 | 502 | 19,646 | 2013-10-15 | 2015-03-26 | 45 | 527 |
| 90 | 62 | 17e82828a754c5fbb4f83967371346cc | 2,013 | 123 | 19,646 | 2013-10-15 | 2014-01-29 | 45 | 106 |
| 90 | 66 | 273d6328b26f3efabfa81453964bd948 | 2,015 | 591 | 19,848 | 2014-05-05 | 2015-02-27 | 53 | 298 |
| 90 | 66 | 273d6328b26f3efabfa81453964bd948 | 2,015 | 221 | 19,848 | 2014-05-05 | 2015-01-28 | 53 | 268 |
| 90 | 67 | 27fc4f766852f125b1206a32768ec0c9 | 2,015 | 201 | 20,135 | 2015-02-16 | 2015-03-25 | 36 | 37 |
| 90 | 67 | 27fc4f766852f125b1206a32768ec0c9 | 2,015 | 141 | 20,130 | 2015-02-11 | 2015-02-19 | 36 | 8 |
| 90 | 69 | 3128223a53c6fd5073cc754afacf3082 | 2,015 | 234 | 19,776 | 2014-02-22 | 2015-03-06 | 40 | 377 |
| 90 | 69 | 3128223a53c6fd5073cc754afacf3082 | 2,014 | 488 | 19,776 | 2014-02-22 | 2014-02-28 | 40 | 6 |
| 90 | 71 | 3237eebf40a8eb9bafd18e8507a2dc9e | 2,015 | 591 | 19,906 | 2014-07-02 | 2015-03-31 | 37 | 272 |
| 90 | 71 | 3237eebf40a8eb9bafd18e8507a2dc9e | 2,014 | 221 | 19,906 | 2014-07-02 | 2015-01-28 | 37 | 210 |
| 90 | 73 | 36922b8b1d7f029f7a01cba3afe9d581 | 2,015 | 591 | 19,960 | 2014-08-25 | 2015-05-29 | 46 | 277 |
| 90 | 73 | 36922b8b1d7f029f7a01cba3afe9d581 | 2,014 | 221 | 19,960 | 2014-08-25 | 2015-01-28 | 46 | 156 |
| 90 | 75 | 3998e69d517e1f4883f96bb55a15d9fa | 2,015 | 591 | 19,848 | 2014-05-05 | 2015-09-15 | 57 | 498 |
| 90 | 75 | 3998e69d517e1f4883f96bb55a15d9fa | 2,014 | 221 | 19,848 | 2014-05-05 | 2015-01-28 | 57 | 268 |
| 90 | 92 | 6f7b6e9d16e34de12f8653909c0a0a03 | 2,015 | 591 | 19,759 | 2014-02-05 | 2015-04-28 | 40 | 447 |
| 90 | 92 | 6f7b6e9d16e34de12f8653909c0a0a03 | 2,014 | 221 | 19,759 | 2014-02-05 | 2015-01-28 | 40 | 357 |
| 90 | 94 | 721bc3745874465f0999251d780a23ff | 2,015 | 502 | 19,652 | 2013-10-21 | 2015-01-30 | 43 | 466 |
| 90 | 94 | 721bc3745874465f0999251d780a23ff | 2,013 | 123 | 19,655 | 2013-10-24 | 2014-01-29 | 43 | 97 |
| 90 | 100 | 82e1dd6e553705eeef9fac96639c3998 | 2,015 | 591 | 19,764 | 2014-02-10 | 2015-04-14 | 39 | 428 |
| 90 | 100 | 82e1dd6e553705eeef9fac96639c3998 | 2,014 | 221 | 19,764 | 2014-02-10 | 2015-01-28 | 39 | 352 |
| 90 | 102 | 922d7529b6791c741669408d2e66a06b | 2,015 | 104 | 20,251 | 2015-06-12 | 2015-12-01 | 37 | 172 |
| 90 | 102 | 922d7529b6791c741669408d2e66a06b | 2,015 | 163 | 20,248 | 2015-06-09 | 2015-06-12 | 37 | 3 |
| 90 | 108 | 9ebfd4884f69716970b5fb8a413dfe13 | 2,015 | 502 | 19,645 | 2013-10-14 | 2015-05-28 | 39 | 591 |
| 90 | 108 | 9ebfd4884f69716970b5fb8a413dfe13 | 2,013 | 328 | 19,645 | 2013-10-14 | 2014-01-29 | 39 | 107 |
| 90 | 112 | ae5e1c9f295e13b4e0e837bf7c0f5ea8 | 2,015 | 502 | 19,680 | 2013-11-18 | 2015-03-31 | 48 | 498 |
| 90 | 112 | ae5e1c9f295e13b4e0e837bf7c0f5ea8 | 2,013 | 328 | 19,680 | 2013-11-18 | 2014-01-29 | 48 | 72 |
| 90 | 114 | b2c468656911cf9b07bf48e53b7b7d98 | 2,015 | 291 | 19,876 | 2014-06-02 | 2015-02-11 | 39 | 254 |
| 90 | 114 | b2c468656911cf9b07bf48e53b7b7d98 | 2,014 | 432 | 19,878 | 2014-06-04 | 2014-06-23 | 39 | 19 |
| 90 | 117 | c76270d8d96a911bc658b16cd821d092 | 2,015 | 591 | 19,905 | 2014-07-01 | 2015-09-25 | 67 | 451 |
| 90 | 117 | c76270d8d96a911bc658b16cd821d092 | 2,014 | 221 | 19,905 | 2014-07-01 | 2015-01-28 | 67 | 211 |
| 90 | 128 | fad29ba5696619f25d981f9c3630b945 | 2,015 | 591 | 19,933 | 2014-07-29 | 2015-03-18 | 70 | 232 |
| 90 | 128 | fad29ba5696619f25d981f9c3630b945 | 2,014 | 221 | 19,933 | 2014-07-29 | 2015-01-28 | 70 | 183 |
| 90 | 130 | 0d8e8fbed25c1091a9774a541928df4f | 2,014 | 141 | 19,943 | 2014-08-08 | 2014-09-30 | 40 | 53 |
| 90 | 130 | 0d8e8fbed25c1091a9774a541928df4f | 2,014 | 474 | 19,942 | 2014-08-07 | 2014-11-05 | 40 | 90 |
| 90 | 134 | 1f1695fa0918bcb6635f1d179bb9baee | 2,014 | 502 | 19,704 | 2013-12-12 | 2015-01-29 | 29 | 413 |
| 90 | 134 | 1f1695fa0918bcb6635f1d179bb9baee | 2,013 | 328 | 19,702 | 2013-12-10 | 2014-01-29 | 29 | 50 |
| 90 | 137 | 3e52d76d1a3eb2bc29033bcebe9c6527 | 2,014 | 502 | 19,614 | 2013-09-13 | 2014-07-29 | 27 | 319 |
| 90 | 137 | 3e52d76d1a3eb2bc29033bcebe9c6527 | 2,013 | 123 | 19,614 | 2013-09-13 | 2013-11-29 | 27 | 77 |
| 90 | 138 | 429718cc352bec4dff3cd8c5733dccb3 | 2,014 | 502 | 19,674 | 2013-11-12 | 2014-09-01 | 38 | 293 |
| 90 | 138 | 429718cc352bec4dff3cd8c5733dccb3 | 2,013 | 123 | 19,674 | 2013-11-12 | 2014-01-29 | 38 | 78 |
| 90 | 140 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | 2,014 | 234 | 19,705 | 2013-12-13 | 2014-01-31 | 29 | 49 |
| 90 | 140 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | 2,014 | 488 | 19,705 | 2013-12-13 | 2014-01-31 | 29 | 49 |
| 90 | 142 | 5107e6c772efe72ef73768500f771391 | 2,014 | 502 | 19,337 | 2012-12-10 | 2014-05-06 | 41 | 512 |
| 90 | 142 | 5107e6c772efe72ef73768500f771391 | 2,013 | 328 | 19,337 | 2012-12-10 | 2014-01-29 | 41 | 415 |
| 90 | 143 | 54d05d802656b0ffd3a4cb836c7d68ad | 2,014 | 358 | 19,275 | 2012-10-09 | 2014-04-17 | 55 | 555 |
| 90 | 143 | 54d05d802656b0ffd3a4cb836c7d68ad | 2,012 | 147 | 19,275 | 2012-10-09 | 2013-02-04 | 55 | 118 |
| 90 | 144 | 56ebb38e7d4cc24e6e97cc53ae447801 | 2,014 | 502 | 19,508 | 2013-05-30 | 2014-05-07 | 44 | 342 |
| 90 | 144 | 56ebb38e7d4cc24e6e97cc53ae447801 | 2,013 | 123 | 19,508 | 2013-05-30 | 2013-11-29 | 44 | 183 |
| 90 | 147 | 657addcf6decb77c802458436ee56c4e | 2,014 | 271 | 19,905 | 2014-07-01 | 2014-12-31 | 47 | 183 |
| 90 | 147 | 657addcf6decb77c802458436ee56c4e | 2,014 | 434 | 19,900 | 2014-06-26 | 2014-07-17 | 47 | 21 |
| 90 | 154 | 9155114c1bcfe7d222cb5e8728b8aedd | 2,014 | 502 | 19,561 | 2013-07-22 | 2014-01-22 | 30 | 184 |
| 90 | 154 | 9155114c1bcfe7d222cb5e8728b8aedd | 2,013 | 328 | 19,561 | 2013-07-22 | 2014-01-29 | 30 | 191 |
| 90 | 157 | 9ccc5cfc0851138860ce51a4d89d77be | 2,014 | 502 | 19,375 | 2013-01-17 | 2014-08-01 | 26 | 561 |
| 90 | 157 | 9ccc5cfc0851138860ce51a4d89d77be | 2,013 | 123 | 19,375 | 2013-01-17 | 2014-01-29 | 26 | 377 |
| 90 | 158 | 9e7148b53d0554a5eaae07093e20b7c6 | 2,014 | 271 | 19,642 | 2013-10-11 | 2014-01-12 | 37 | 93 |
| 90 | 158 | 9e7148b53d0554a5eaae07093e20b7c6 | 2,013 | 434 | 19,645 | 2013-10-14 | 2013-10-14 | 37 | 0 |
| 90 | 160 | a5d6a4fccd71f93f8c62d1311e8ca567 | 2,014 | 502 | 19,669 | 2013-11-07 | 2014-07-04 | 51 | 239 |
| 90 | 160 | a5d6a4fccd71f93f8c62d1311e8ca567 | 2,013 | 123 | 19,669 | 2013-11-07 | 2014-01-29 | 51 | 83 |
| 90 | 169 | bd8ad6e1a808c54bfba85f133c577f36 | 2,014 | 502 | 19,520 | 2013-06-11 | 2014-09-24 | 48 | 470 |
| 90 | 169 | bd8ad6e1a808c54bfba85f133c577f36 | 2,013 | 328 | 19,520 | 2013-06-11 | 2014-01-29 | 48 | 232 |
| 90 | 170 | bd8ad6e1a808c54bfba85f133c577f36 | 2,014 | 502 | 19,520 | 2013-06-11 | 2014-05-06 | 48 | 329 |
| 90 | 170 | bd8ad6e1a808c54bfba85f133c577f36 | 2,013 | 328 | 19,520 | 2013-06-11 | 2014-01-29 | 48 | 232 |
| 90 | 185 | e17252513730b87dce6933fde5525757 | 2,014 | 502 | 19,688 | 2013-11-26 | 2014-07-20 | 33 | 236 |
| 90 | 185 | e17252513730b87dce6933fde5525757 | 2,013 | 328 | 19,688 | 2013-11-26 | 2014-01-29 | 33 | 64 |
| 90 | 187 | f937737d537e92fe5ed9b8272493d621 | 2,014 | 502 | 19,540 | 2013-07-01 | 2014-10-23 | 28 | 479 |
| 90 | 187 | f937737d537e92fe5ed9b8272493d621 | 2,013 | 328 | 19,540 | 2013-07-01 | 2014-01-29 | 28 | 212 |
| 90 | 194 | 0375c58adaaf17110c8191a671a2bfdc | 2,013 | 488 | 19,340 | 2012-12-13 | 2013-11-04 | 37 | 326 |
| 90 | 194 | 0375c58adaaf17110c8191a671a2bfdc | 2,013 | 234 | 19,340 | 2012-12-13 | 2013-01-05 | 37 | 23 |
| 90 | 199 | 0e187294e0b3fd3410cffc8cef96b468 | 2,013 | 358 | 19,043 | 2012-02-20 | 2013-06-06 | 31 | 472 |
| 90 | 199 | 0e187294e0b3fd3410cffc8cef96b468 | 2,012 | 147 | 19,043 | 2012-02-20 | 2013-02-04 | 31 | 350 |
| 90 | 203 | 12831c3b982de6dda6de919ff0f4140f | 2,013 | 158 | 19,656 | 2013-10-25 | 2013-11-15 | 52 | 21 |
| 90 | 203 | 12831c3b982de6dda6de919ff0f4140f | 2,013 | 306 | 19,652 | 2013-10-21 | 2013-10-23 | 52 | 2 |
| 90 | 205 | 1c4701938ec1595156bf56106b61cbbe | 2,013 | 358 | 19,187 | 2012-07-13 | 2013-02-26 | 45 | 228 |
| 90 | 205 | 1c4701938ec1595156bf56106b61cbbe | 2,012 | 147 | 19,187 | 2012-07-13 | 2013-02-04 | 45 | 206 |
| 90 | 223 | 5079477dc4765094c91f4da9d95c7001 | 2,013 | 443 | 19,284 | 2012-10-18 | 2013-02-28 | 31 | 133 |
| 90 | 223 | 5079477dc4765094c91f4da9d95c7001 | 2,012 | 286 | 19,284 | 2012-10-18 | 2012-12-31 | 31 | 74 |
| 90 | 228 | 598a4ed83d5b81ad2b7388883d1333b8 | 2,013 | 219 | 19,374 | 2013-01-16 | 2013-01-22 | 32 | 6 |
| 90 | 228 | 598a4ed83d5b81ad2b7388883d1333b8 | 2,013 | 211 | 19,372 | 2013-01-14 | 2013-01-15 | 32 | 1 |
| 90 | 229 | 5c9cac03b530dd82b7c5744f8f46b9ca | 2,013 | 443 | 19,298 | 2012-11-01 | 2013-02-28 | 40 | 119 |
| 90 | 229 | 5c9cac03b530dd82b7c5744f8f46b9ca | 2,012 | 286 | 19,298 | 2012-11-01 | 2012-12-31 | 40 | 60 |
| 90 | 231 | 61893e1a7b98b0fea3284894c81649af | 2,013 | 154 | 19,362 | 2013-01-04 | 2013-05-28 | 34 | 144 |
| 90 | 231 | 61893e1a7b98b0fea3284894c81649af | 2,013 | 330 | 19,359 | 2013-01-01 | 2013-08-27 | 34 | 238 |
| 90 | 242 | 7988aecbaca8d7178964d5401696ff8c | 2,013 | 443 | 19,274 | 2012-10-08 | 2013-03-28 | 36 | 171 |
| 90 | 242 | 7988aecbaca8d7178964d5401696ff8c | 2,012 | 286 | 19,274 | 2012-10-08 | 2012-12-31 | 36 | 84 |
| 90 | 246 | 8674147dacd409cadae927788a76ddb8 | 2,013 | 443 | 19,298 | 2012-11-01 | 2013-03-28 | 40 | 147 |
| 90 | 246 | 8674147dacd409cadae927788a76ddb8 | 2,012 | 286 | 19,298 | 2012-11-01 | 2012-12-31 | 40 | 60 |
| 90 | 249 | 8b71bfa71147e21c3dbfc8eb810204c2 | 2,013 | 358 | 19,310 | 2012-11-13 | 2013-06-06 | 52 | 205 |
| 90 | 249 | 8b71bfa71147e21c3dbfc8eb810204c2 | 2,012 | 147 | 19,310 | 2012-11-13 | 2013-02-04 | 52 | 83 |
| 90 | 250 | 8e8629b27f854aff4f7a02790775f558 | 2,013 | 358 | 19,045 | 2012-02-22 | 2013-07-02 | 50 | 496 |
| 90 | 250 | 8e8629b27f854aff4f7a02790775f558 | 2,012 | 147 | 19,045 | 2012-02-22 | 2013-02-04 | 50 | 348 |
| 90 | 253 | 962b9e1606362b7ad96cd294eb1c3bf0 | 2,013 | 358 | 19,248 | 2012-09-12 | 2013-06-06 | 34 | 267 |
| 90 | 253 | 962b9e1606362b7ad96cd294eb1c3bf0 | 2,012 | 147 | 19,248 | 2012-09-12 | 2013-02-04 | 34 | 145 |
| 90 | 273 | cd0d5384bb8c550bceb16b54643dc0fc | 2,013 | 358 | 19,163 | 2012-06-19 | 2013-02-07 | 56 | 233 |
| 90 | 273 | cd0d5384bb8c550bceb16b54643dc0fc | 2,012 | 147 | 19,163 | 2012-06-19 | 2013-02-04 | 56 | 230 |
| 90 | 286 | f252744df5e1cf4435f4283d418078b8 | 2,013 | 358 | 19,233 | 2012-08-28 | 2013-04-16 | 73 | 231 |
| 90 | 286 | f252744df5e1cf4435f4283d418078b8 | 2,012 | 147 | 19,233 | 2012-08-28 | 2013-02-04 | 73 | 160 |
| 90 | 295 | 175982073c5af9c93b399f9049a960b7 | 2,012 | 215 | 18,984 | 2011-12-23 | 2012-06-05 | 61 | 165 |
| 90 | 295 | 175982073c5af9c93b399f9049a960b7 | 2,011 | 213 | 18,980 | 2011-12-19 | 2011-12-19 | 61 | 0 |
| 90 | 300 | 231ef6596f0de189851bcc8a25c79c1d | 2,012 | 164 | 18,959 | 2011-11-28 | 2012-12-10 | 35 | 378 |
| 90 | 300 | 231ef6596f0de189851bcc8a25c79c1d | 2,012 | 325 | 18,959 | 2011-11-28 | 2012-01-01 | 35 | 34 |
| 90 | 312 | 323e7c5a2f35734bce3e554869469733 | 2,012 | 164 | 18,688 | 2011-03-02 | 2012-03-02 | 46 | 366 |
| 90 | 312 | 323e7c5a2f35734bce3e554869469733 | 2,012 | 325 | 18,688 | 2011-03-02 | 2012-02-07 | 46 | 342 |
| 90 | 316 | 3d722d03aaa88c6ad4c039c860c1b837 | 2,012 | 200 | 18,996 | 2012-01-04 | 2012-04-11 | 29 | 98 |
| 90 | 316 | 3d722d03aaa88c6ad4c039c860c1b837 | 2,012 | 203 | 18,996 | 2012-01-04 | 2012-02-06 | 29 | 33 |
| 90 | 321 | 4b9938bc1b3be41164e311f7753178b6 | 2,012 | 200 | 18,869 | 2011-08-30 | 2012-04-02 | 42 | 216 |
| 90 | 321 | 4b9938bc1b3be41164e311f7753178b6 | 2,012 | 203 | 18,869 | 2011-08-30 | 2012-02-06 | 42 | 160 |
| 90 | 323 | 4d09755fb9fabb916e79dd436cff0e9a | 2,012 | 164 | 18,828 | 2011-07-20 | 2012-03-05 | 42 | 229 |
| 90 | 323 | 4d09755fb9fabb916e79dd436cff0e9a | 2,012 | 325 | 18,828 | 2011-07-20 | 2012-02-07 | 42 | 202 |
| 90 | 328 | 569ca4a19e9a95858ff2675b7b35a770 | 2,012 | 164 | 18,956 | 2011-11-25 | 2012-06-05 | 35 | 193 |
| 90 | 328 | 569ca4a19e9a95858ff2675b7b35a770 | 2,012 | 325 | 18,956 | 2011-11-25 | 2012-01-01 | 35 | 37 |
| 90 | 329 | 58badbe9a65a84604452cbe092153c1d | 2,012 | 200 | 19,001 | 2012-01-09 | 2012-05-01 | 34 | 113 |
| 90 | 329 | 58badbe9a65a84604452cbe092153c1d | 2,012 | 203 | 19,001 | 2012-01-09 | 2012-02-06 | 34 | 28 |
| 90 | 331 | 596fd9d33bfcca1f75a54b10f6c6a80f | 2,012 | 259 | 18,855 | 2011-08-16 | 2012-08-21 | 34 | 371 |
| 90 | 331 | 596fd9d33bfcca1f75a54b10f6c6a80f | 2,011 | 282 | 18,858 | 2011-08-19 | 2011-09-05 | 34 | 17 |
| 90 | 339 | 75433506b3be3c93efb5ebcc729c5abe | 2,012 | 104 | 18,865 | 2011-08-26 | 2012-01-30 | 34 | 157 |
| 90 | 339 | 75433506b3be3c93efb5ebcc729c5abe | 2,011 | 320 | 18,861 | 2011-08-22 | 2011-08-26 | 34 | 4 |
| 90 | 351 | 913b556bc20b8d7aefdb99528f01e516 | 2,012 | 200 | 18,949 | 2011-11-18 | 2012-04-20 | 31 | 154 |
| 90 | 351 | 913b556bc20b8d7aefdb99528f01e516 | 2,012 | 203 | 18,949 | 2011-11-18 | 2012-02-06 | 31 | 80 |
| 90 | 354 | 987b155109b2d916e67b399bf8923a6c | 2,012 | 164 | 18,786 | 2011-06-08 | 2012-05-02 | 36 | 329 |
| 90 | 354 | 987b155109b2d916e67b399bf8923a6c | 2,012 | 325 | 18,786 | 2011-06-08 | 2012-02-07 | 36 | 244 |
| 90 | 355 | 9fa763107a1c2df2f906a68429e4ad42 | 2,012 | 164 | 18,857 | 2011-08-18 | 2012-03-02 | 39 | 197 |
| 90 | 355 | 9fa763107a1c2df2f906a68429e4ad42 | 2,012 | 325 | 18,857 | 2011-08-18 | 2012-02-07 | 39 | 173 |
| 90 | 362 | bae26bc2c87f1ca969aaca4615441aec | 2,012 | 164 | 18,780 | 2011-06-02 | 2012-03-05 | 38 | 277 |
| 90 | 362 | bae26bc2c87f1ca969aaca4615441aec | 2,012 | 325 | 18,780 | 2011-06-02 | 2012-01-01 | 38 | 213 |
| 90 | 383 | db1429e05188ff74a61a73f82895e318 | 2,012 | 200 | 18,998 | 2012-01-06 | 2012-12-18 | 59 | 347 |
| 90 | 383 | db1429e05188ff74a61a73f82895e318 | 2,012 | 203 | 18,998 | 2012-01-06 | 2012-02-06 | 59 | 31 |
| 90 | 389 | e9a62df800416fdc8525e7f0bda77c44 | 2,012 | 200 | 19,019 | 2012-01-27 | 2012-10-10 | 37 | 257 |
| 90 | 389 | e9a62df800416fdc8525e7f0bda77c44 | 2,012 | 203 | 19,019 | 2012-01-27 | 2012-02-06 | 37 | 10 |
| 90 | 397 | f5bf3ad03561a0960643e1def69fab74 | 2,012 | 164 | 18,690 | 2011-03-04 | 2012-03-05 | 34 | 367 |
| 90 | 397 | f5bf3ad03561a0960643e1def69fab74 | 2,012 | 325 | 18,690 | 2011-03-04 | 2012-01-01 | 34 | 303 |
| 100 | 1 | 185607baea32aa787cb6471d1dac4dd1 | 2,019 | 191 | 21,521 | 2018-12-03 | NA | 36 | 345 |
| 100 | 1 | 185607baea32aa787cb6471d1dac4dd1 | 2,018 | 191 | 21,521 | 2018-12-03 | NA | 36 | 337 |
| 100 | 2 | 4405fc724d70190f51534f36393bc3d8 | 2,019 | 191 | 21,476 | 2018-10-19 | NA | 24 | 390 |
| 100 | 2 | 4405fc724d70190f51534f36393bc3d8 | 2,018 | 191 | 21,476 | 2018-10-19 | NA | 24 | 382 |
| 100 | 3 | 525345d2cfa31bb08e146ec8ffeca9ec | 2,019 | 201 | 21,759 | 2019-07-29 | NA | 38 | 107 |
| 100 | 3 | 525345d2cfa31bb08e146ec8ffeca9ec | 2,019 | 201 | 21,757 | 2019-07-27 | 2019-07-28 | 38 | 1 |
| 100 | 4 | 585c2a263cd9acecade5b67be1ca246a | 2,019 | 163 | 21,677 | 2019-05-08 | 2019-07-09 | 46 | 62 |
| 100 | 4 | 585c2a263cd9acecade5b67be1ca246a | 2,019 | 163 | 21,675 | 2019-05-06 | 2019-05-07 | 46 | 1 |
| 100 | 5 | 976dc6ea364c0e2ba7decc74c634291d | 2,019 | 259 | 21,460 | 2018-10-03 | 2019-01-08 | 38 | 97 |
| 100 | 5 | 976dc6ea364c0e2ba7decc74c634291d | 2,018 | 259 | 21,460 | 2018-10-03 | 2018-11-30 | 38 | 58 |
| 100 | 6 | ac2d21c7e74ee78d2d1d18274fe0b5ad | 2,019 | 316 | 21,279 | 2018-04-05 | 2019-07-18 | 58 | 469 |
| 100 | 6 | ac2d21c7e74ee78d2d1d18274fe0b5ad | 2,018 | 316 | 21,279 | 2018-04-05 | 2018-09-01 | 58 | 149 |
| 100 | 7 | ecde0c8a8477604ba6402ca715e42756 | 2,019 | 191 | 21,306 | 2018-05-02 | 2019-10-31 | 66 | 547 |
| 100 | 7 | ecde0c8a8477604ba6402ca715e42756 | 2,018 | 191 | 21,306 | 2018-05-02 | NA | 66 | 552 |
| 100 | 8 | 2e9905a6b295e0be61bd01cb5f8c248e | 2,018 | 502 | 21,001 | 2017-07-01 | 2018-01-18 | 30 | 201 |
| 100 | 8 | 2e9905a6b295e0be61bd01cb5f8c248e | 2,017 | 502 | 20,999 | 2017-06-29 | 2017-06-30 | 30 | 1 |
| 100 | 9 | 4885088d021c5f30f64a9807a881499e | 2,018 | 162 | 21,094 | 2017-10-02 | 2018-07-04 | 22 | 275 |
| 100 | 9 | 4885088d021c5f30f64a9807a881499e | 2,017 | 162 | 21,090 | 2017-09-28 | 2017-09-29 | 22 | 1 |
| 100 | 10 | 5796b3d422cfbd477a43d690071dcb5b | 2,018 | 234 | 21,032 | 2017-08-01 | 2018-03-02 | 38 | 213 |
| 100 | 10 | 5796b3d422cfbd477a43d690071dcb5b | 2,017 | 234 | 21,027 | 2017-07-27 | 2017-07-31 | 38 | 4 |
| 100 | 11 | 8b68b3387595ee18d0057869f43a8efe | 2,018 | 106 | 21,209 | 2018-01-25 | 2018-12-13 | 64 | 322 |
| 100 | 11 | 8b68b3387595ee18d0057869f43a8efe | 2,018 | 106 | 21,207 | 2018-01-23 | 2018-01-24 | 64 | 1 |
| 100 | 12 | 9567cde63baa9520fb45b3407c2ef52a | 2,018 | 290 | 21,084 | 2017-09-22 | 2018-05-01 | 56 | 221 |
| 100 | 12 | 9567cde63baa9520fb45b3407c2ef52a | 2,017 | 290 | 21,084 | 2017-09-22 | 2017-10-02 | 56 | 10 |
| 100 | 13 | 9d205b7173f2a71b5928d005c69a040c | 2,018 | 316 | 21,180 | 2017-12-27 | 2018-08-29 | 60 | 245 |
| 100 | 13 | 9d205b7173f2a71b5928d005c69a040c | 2,018 | 316 | 21,180 | 2017-12-27 | 2018-01-02 | 60 | 6 |
| 100 | 14 | 9ef4ea921c72b7936420a5e26e76ba1f | 2,018 | 142 | 20,958 | 2017-05-19 | 2018-05-11 | 44 | 357 |
| 100 | 14 | 9ef4ea921c72b7936420a5e26e76ba1f | 2,017 | 142 | 20,956 | 2017-05-17 | 2017-05-18 | 44 | 1 |
| 100 | 15 | e1ecd86d864c123cedfa29842ac9541c | 2,018 | 502 | 21,264 | 2018-03-21 | 2018-08-20 | 23 | 152 |
| 100 | 15 | e1ecd86d864c123cedfa29842ac9541c | 2,018 | 502 | 21,264 | 2018-03-21 | 2018-03-26 | 23 | 5 |
| 100 | 16 | 02f7df4d04fbcc4f95ccc66df7b81b94 | 2,017 | 294 | 19,064 | 2012-03-12 | 2017-06-01 | 26 | 1907 |
| 100 | 16 | 02f7df4d04fbcc4f95ccc66df7b81b94 | 2,012 | 294 | 19,064 | 2012-03-12 | 2012-10-10 | 26 | 212 |
| 100 | 17 | 27194cced9e25a4edfe35c454a529219 | 2,017 | 600 | 20,265 | 2015-06-26 | 2017-04-01 | 50 | 645 |
| 100 | 17 | 27194cced9e25a4edfe35c454a529219 | 2,015 | 600 | 20,265 | 2015-06-26 | 2015-08-25 | 50 | 60 |
| 100 | 18 | 2dbbfcebaccc50d0892ec8734d8dd604 | 2,017 | 122 | 20,360 | 2015-09-29 | 2017-03-06 | 29 | 524 |
| 100 | 18 | 2dbbfcebaccc50d0892ec8734d8dd604 | 2,015 | 122 | 20,360 | 2015-09-29 | 2015-12-11 | 29 | 73 |
| 100 | 19 | 4d85c6bd3567bdf4fc24e386ee740ff7 | 2,017 | 261 | 20,402 | 2015-11-10 | 2017-08-01 | 54 | 630 |
| 100 | 19 | 4d85c6bd3567bdf4fc24e386ee740ff7 | 2,015 | 261 | 20,402 | 2015-11-10 | 2015-11-30 | 54 | 20 |
| 100 | 20 | 5ebd1bfc358df776e5ba4dab0d172bb1 | 2,017 | 146 | 20,342 | 2015-09-11 | 2017-01-25 | 58 | 502 |
| 100 | 20 | 5ebd1bfc358df776e5ba4dab0d172bb1 | 2,015 | 146 | 20,342 | 2015-09-11 | 2015-09-30 | 58 | 19 |
| 100 | 21 | 83e1f2097f359ed3ddb41e9ec41b2dbf | 2,017 | 402 | 20,590 | 2016-05-16 | 2017-04-12 | 38 | 331 |
| 100 | 21 | 83e1f2097f359ed3ddb41e9ec41b2dbf | 2,016 | 402 | 20,590 | 2016-05-16 | 2016-05-24 | 38 | 8 |
| 100 | 22 | 86c87947c57fe5bf419225d2534369a9 | 2,017 | 347 | 20,975 | 2017-06-05 | 2017-09-01 | 31 | 88 |
| 100 | 22 | 86c87947c57fe5bf419225d2534369a9 | 2,017 | 347 | 20,971 | 2017-06-01 | 2017-06-02 | 31 | 1 |
| 100 | 23 | a5f3c1b66d5957edfd1364cdab54cbc2 | 2,017 | 259 | 20,806 | 2016-12-18 | 2017-11-30 | 62 | 347 |
| 100 | 23 | a5f3c1b66d5957edfd1364cdab54cbc2 | 2,016 | 259 | 20,804 | 2016-12-16 | 2016-12-17 | 62 | 1 |
| 100 | 24 | bf95b129fd3ab7693cc710bb45c1abab | 2,017 | 109 | 19,954 | 2014-08-19 | 2017-05-30 | 43 | 1015 |
| 100 | 24 | bf95b129fd3ab7693cc710bb45c1abab | 2,015 | 109 | 19,954 | 2014-08-19 | 2015-06-01 | 43 | 286 |
| 100 | 27 | e1cd21bb52065f68035d8d9f9443ae45 | 2,017 | 251 | 21,063 | 2017-09-01 | 2017-11-20 | 48 | 80 |
| 100 | 27 | e1cd21bb52065f68035d8d9f9443ae45 | 2,017 | 251 | 21,059 | 2017-08-28 | 2017-08-30 | 48 | 2 |
| 100 | 28 | f32ea28c827f4d8a73a3f99fa0fa4109 | 2,017 | 430 | 20,852 | 2017-02-02 | 2017-06-01 | 37 | 119 |
| 100 | 28 | f32ea28c827f4d8a73a3f99fa0fa4109 | 2,017 | 430 | 20,847 | 2017-01-28 | 2017-07-01 | 37 | 154 |
| 100 | 30 | 180142fbce98ed9b3132e0c546b7992a | 2,016 | 259 | 20,754 | 2016-10-27 | 2016-12-28 | 46 | 62 |
| 100 | 30 | 180142fbce98ed9b3132e0c546b7992a | 2,016 | 259 | 20,752 | 2016-10-25 | 2016-10-26 | 46 | 1 |
| 100 | 31 | 1e59a2135274d745735dd08bfaaeeabb | 2,016 | 292 | 20,552 | 2016-04-08 | 2016-05-31 | 53 | 53 |
| 100 | 31 | 1e59a2135274d745735dd08bfaaeeabb | 2,016 | 292 | 20,552 | 2016-04-08 | 2016-05-31 | 53 | 53 |
| 100 | 32 | 25eec2c706514c65bd8dbc4a03b4dd7a | 2,016 | 402 | 20,137 | 2015-02-18 | 2016-07-27 | 32 | 525 |
| 100 | 32 | 25eec2c706514c65bd8dbc4a03b4dd7a | 2,015 | 402 | 20,137 | 2015-02-18 | 2015-09-08 | 32 | 202 |
| 100 | 33 | 3ec371bde328f876a0f41f4840940cc0 | 2,016 | 497 | 20,473 | 2016-01-20 | 2016-03-25 | 29 | 65 |
| 100 | 33 | 3ec371bde328f876a0f41f4840940cc0 | 2,016 | 497 | 20,471 | 2016-01-18 | 2016-01-19 | 29 | 1 |
| 100 | 35 | 5eee299e6c3f1403c669a2dd0353355f | 2,016 | 430 | 19,856 | 2014-05-13 | 2016-03-01 | 47 | 658 |
| 100 | 35 | 5eee299e6c3f1403c669a2dd0353355f | 2,014 | 430 | 19,856 | 2014-05-13 | 2014-05-31 | 47 | 18 |
| 100 | 37 | 69c210167a765451d12a77a44dab23d4 | 2,016 | 143 | 19,981 | 2014-09-15 | 2016-05-01 | 33 | 594 |
| 100 | 37 | 69c210167a765451d12a77a44dab23d4 | 2,015 | 143 | 19,981 | 2014-09-15 | 2015-02-02 | 33 | 140 |
| 100 | 38 | 6deb5efeb53d85bcdd9895a241e62915 | 2,016 | 153 | 20,249 | 2015-06-10 | 2016-02-15 | 38 | 250 |
| 100 | 38 | 6deb5efeb53d85bcdd9895a241e62915 | 2,015 | 153 | 20,249 | 2015-06-10 | 2015-08-21 | 38 | 72 |
| 100 | 39 | 6e196643c6ee804095ae5b43eb20e3e1 | 2,016 | 221 | 20,311 | 2015-08-11 | 2016-04-27 | 36 | 260 |
| 100 | 39 | 6e196643c6ee804095ae5b43eb20e3e1 | 2,015 | 221 | 20,311 | 2015-08-11 | 2015-11-30 | 36 | 111 |
| 100 | 40 | 7349c214788c896b1ed5d9a6114ab07a | 2,016 | 106 | 19,346 | 2012-12-19 | 2016-05-30 | 62 | 1258 |
| 100 | 40 | 7349c214788c896b1ed5d9a6114ab07a | 2,014 | 106 | 19,346 | 2012-12-19 | 2014-08-01 | 62 | 590 |
| 100 | 41 | 800772b07703ea14aa5630daff975465 | 2,016 | 294 | 20,072 | 2014-12-15 | 2016-04-01 | 43 | 473 |
| 100 | 41 | 800772b07703ea14aa5630daff975465 | 2,015 | 294 | 20,072 | 2014-12-15 | 2015-05-29 | 43 | 165 |
| 100 | 42 | 80f1c15b1a4e57af59a06c9124d1eb88 | 2,016 | 430 | 19,774 | 2014-02-20 | 2016-07-01 | 46 | 862 |
| 100 | 42 | 80f1c15b1a4e57af59a06c9124d1eb88 | 2,014 | 430 | 19,774 | 2014-02-20 | 2014-06-02 | 46 | 102 |
| 100 | 46 | c4396b22647f28f777c3b8c731506767 | 2,016 | 165 | 20,496 | 2016-02-12 | 2016-03-14 | 39 | 31 |
| 100 | 46 | c4396b22647f28f777c3b8c731506767 | 2,016 | 165 | 20,496 | 2016-02-12 | 2016-02-13 | 39 | 1 |
| 100 | 48 | dc64642e719cf9134ad7850686fa8864 | 2,016 | 122 | 19,600 | 2013-08-30 | 2016-05-02 | 38 | 976 |
| 100 | 48 | dc64642e719cf9134ad7850686fa8864 | 2,013 | 122 | 19,600 | 2013-08-30 | 2013-10-31 | 38 | 62 |
| 100 | 49 | dc64642e719cf9134ad7850686fa8864 | 2,016 | 122 | 19,600 | 2013-08-30 | 2016-05-02 | 38 | 976 |
| 100 | 49 | dc64642e719cf9134ad7850686fa8864 | 2,013 | 122 | 19,597 | 2013-08-27 | 2013-08-30 | 38 | 3 |
| 100 | 50 | fa723d030eaf1f22b50490fb19a501dc | 2,016 | 141 | 20,010 | 2014-10-14 | 2016-02-25 | 39 | 499 |
| 100 | 50 | fa723d030eaf1f22b50490fb19a501dc | 2,014 | 141 | 20,010 | 2014-10-14 | 2014-11-25 | 39 | 42 |
| 100 | 51 | fdbed29a4249df1666481a3caad71107 | 2,016 | 206 | 20,319 | 2015-08-19 | 2016-09-01 | 35 | 379 |
| 100 | 51 | fdbed29a4249df1666481a3caad71107 | 2,016 | 206 | 20,319 | 2015-08-19 | 2016-08-31 | 35 | 378 |
| 100 | 55 | 066373dc007c7b8f42b1e49775c5c108 | 2,015 | 251 | 20,321 | 2015-08-21 | 2015-11-20 | 34 | 91 |
| 100 | 55 | 066373dc007c7b8f42b1e49775c5c108 | 2,015 | 251 | 20,321 | 2015-08-21 | 2015-11-20 | 34 | 91 |
| 100 | 59 | 13c4c39ca8620d6e74d8a4c3689f3bf3 | 2,015 | 358 | 20,102 | 2015-01-14 | 2015-05-07 | 38 | 113 |
| 100 | 59 | 13c4c39ca8620d6e74d8a4c3689f3bf3 | 2,015 | 358 | 20,102 | 2015-01-14 | 2015-03-04 | 38 | 49 |
| 100 | 61 | 17d75588e57851ce55b16371d4708d56 | 2,015 | 261 | 19,996 | 2014-09-30 | 2015-05-27 | 44 | 239 |
| 100 | 61 | 17d75588e57851ce55b16371d4708d56 | 2,014 | 261 | 19,996 | 2014-09-30 | 2014-12-10 | 44 | 71 |
| 100 | 63 | 242179b7bb1367dc561505f2fcc976d5 | 2,015 | 604 | 20,177 | 2015-03-30 | 2015-10-01 | 46 | 185 |
| 100 | 63 | 242179b7bb1367dc561505f2fcc976d5 | 2,015 | 604 | 20,173 | 2015-03-26 | 2015-06-01 | 46 | 67 |
| 100 | 64 | 24e23951c537c78033a00e1b548eef6c | 2,015 | 225 | 20,341 | 2015-09-10 | 2015-12-29 | 38 | 110 |
| 100 | 64 | 24e23951c537c78033a00e1b548eef6c | 2,015 | 225 | 20,339 | 2015-09-08 | 2015-09-09 | 38 | 1 |
| 100 | 65 | 259e10a1e99a0ddac8d1b23914166f50 | 2,015 | 604 | 20,138 | 2015-02-19 | 2015-09-30 | 85 | 223 |
| 100 | 65 | 259e10a1e99a0ddac8d1b23914166f50 | 2,015 | 604 | 20,138 | 2015-02-19 | 2015-06-01 | 85 | 102 |
| 100 | 68 | 29fed9a5b4a36d23cda02d92c068ea8a | 2,015 | 292 | 19,284 | 2012-10-18 | 2015-08-10 | 49 | 1026 |
| 100 | 68 | 29fed9a5b4a36d23cda02d92c068ea8a | 2,013 | 292 | 19,284 | 2012-10-18 | 2013-01-31 | 49 | 105 |
| 100 | 70 | 31dcb30ebde5c1145e2adf2029dc4212 | 2,015 | 133 | 19,866 | 2014-05-23 | 2015-01-28 | 40 | 250 |
| 100 | 70 | 31dcb30ebde5c1145e2adf2029dc4212 | 2,014 | 133 | 19,866 | 2014-05-23 | 2014-06-30 | 40 | 38 |
| 100 | 72 | 35ed3c7c597433db6a10db390f3d9433 | 2,015 | 194 | 20,240 | 2015-06-01 | 2016-03-02 | 45 | 275 |
| 100 | 72 | 35ed3c7c597433db6a10db390f3d9433 | 2,015 | 194 | 20,240 | 2015-06-01 | 2015-07-01 | 45 | 30 |
| 100 | 74 | 36d14b21dcea0a7ee23af9abb38486dc | 2,015 | 617 | 20,213 | 2015-05-05 | 2015-11-03 | 41 | 182 |
| 100 | 74 | 36d14b21dcea0a7ee23af9abb38486dc | 2,015 | 617 | 20,213 | 2015-05-05 | 2015-06-15 | 41 | 41 |
| 100 | 76 | 3cccc7d50c913b528c26f8f20d8dea3e | 2,015 | 261 | 19,955 | 2014-08-20 | 2015-05-27 | 32 | 280 |
| 100 | 76 | 3cccc7d50c913b528c26f8f20d8dea3e | 2,014 | 261 | 19,955 | 2014-08-20 | 2014-12-10 | 32 | 112 |
| 100 | 77 | 3d3eb927ae1e0e062c72d8e933f26a87 | 2,015 | 131 | 19,743 | 2014-01-20 | 2015-05-01 | 56 | 466 |
| 100 | 77 | 3d3eb927ae1e0e062c72d8e933f26a87 | 2,014 | 131 | 19,743 | 2014-01-20 | 2014-09-30 | 56 | 253 |
| 100 | 78 | 3dd53b702bd93dcfbd9e2f28b52e12be | 2,015 | 220 | 20,165 | 2015-03-18 | 2016-01-31 | 44 | 319 |
| 100 | 78 | 3dd53b702bd93dcfbd9e2f28b52e12be | 2,015 | 220 | 20,165 | 2015-03-18 | 2015-05-01 | 44 | 44 |
| 100 | 79 | 3f571f98320d185956b0a1f070f502a1 | 2,015 | 291 | 20,179 | 2015-04-01 | 2015-08-11 | 28 | 132 |
| 100 | 79 | 3f571f98320d185956b0a1f070f502a1 | 2,015 | 291 | 20,179 | 2015-04-01 | 2015-04-21 | 28 | 20 |
| 100 | 80 | 40b35051d3bac303c1e84e109b8e1cc6 | 2,015 | 291 | 20,100 | 2015-01-12 | 2015-10-07 | 37 | 268 |
| 100 | 80 | 40b35051d3bac303c1e84e109b8e1cc6 | 2,015 | 291 | 20,100 | 2015-01-12 | 2015-01-13 | 37 | 1 |
| 100 | 81 | 4139824436b10bf77da50baf1c90df2a | 2,015 | 433 | 19,659 | 2013-10-28 | 2015-02-02 | 40 | 462 |
| 100 | 81 | 4139824436b10bf77da50baf1c90df2a | 2,014 | 433 | 19,659 | 2013-10-28 | 2014-02-27 | 40 | 122 |
| 100 | 82 | 423db64c8cb41fbbade84a63873a942f | 2,015 | 255 | 19,206 | 2012-08-01 | 2015-10-30 | 43 | 1185 |
| 100 | 82 | 423db64c8cb41fbbade84a63873a942f | 2,013 | 255 | 19,206 | 2012-08-01 | 2013-03-28 | 43 | 239 |
| 100 | 83 | 514640ee9e0eaef70d42367cdf38cf1a | 2,015 | 156 | 19,848 | 2014-05-05 | 2015-02-26 | 33 | 297 |
| 100 | 83 | 514640ee9e0eaef70d42367cdf38cf1a | 2,014 | 156 | 19,848 | 2014-05-05 | 2014-05-06 | 33 | 1 |
| 100 | 84 | 579b0893032197f4f6f8d264c3e7ec24 | 2,015 | 133 | 20,150 | 2015-03-03 | 2015-06-16 | 41 | 105 |
| 100 | 84 | 579b0893032197f4f6f8d264c3e7ec24 | 2,015 | 133 | 20,150 | 2015-03-03 | 2015-03-04 | 41 | 1 |
| 100 | 85 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | 2,015 | 109 | 19,184 | 2012-07-10 | 2015-07-31 | 45 | 1116 |
| 100 | 85 | 5ecc3680fd76bc8479a4eba3d7d4eff1 | 2,013 | 109 | 19,184 | 2012-07-10 | 2013-01-01 | 45 | 175 |
| 100 | 86 | 5f14de4ebb0dc7aaff0f73ef833d93ab | 2,015 | 161 | 20,256 | 2015-06-17 | 2015-10-29 | 38 | 134 |
| 100 | 86 | 5f14de4ebb0dc7aaff0f73ef833d93ab | 2,015 | 161 | 20,256 | 2015-06-17 | 2015-06-30 | 38 | 13 |
| 100 | 87 | 6426656e5d336215b6572d8cf207b36f | 2,015 | 505 | 20,178 | 2015-03-31 | 2015-08-10 | 49 | 132 |
| 100 | 87 | 6426656e5d336215b6572d8cf207b36f | 2,015 | 505 | 20,174 | 2015-03-27 | 2015-03-28 | 49 | 1 |
| 100 | 88 | 6829842cdd07d2d1dcda8eb8eed0b601 | 2,015 | 205 | 19,948 | 2014-08-13 | 2015-08-28 | 31 | 380 |
| 100 | 88 | 6829842cdd07d2d1dcda8eb8eed0b601 | 2,014 | 205 | 19,948 | 2014-08-13 | 2014-12-01 | 31 | 110 |
| 100 | 89 | 686ff4b6cf5483c8bf4423159f98857d | 2,015 | 106 | 19,970 | 2014-09-04 | 2015-08-17 | 50 | 347 |
| 100 | 89 | 686ff4b6cf5483c8bf4423159f98857d | 2,015 | 106 | 19,970 | 2014-09-04 | 2015-05-01 | 50 | 239 |
| 100 | 90 | 6c28ec590480e1c5dc7d2313af10ca75 | 2,015 | 143 | 20,030 | 2014-11-03 | 2015-10-13 | 43 | 344 |
| 100 | 90 | 6c28ec590480e1c5dc7d2313af10ca75 | 2,014 | 143 | 20,033 | 2014-11-06 | 2015-02-04 | 43 | 90 |
| 100 | 91 | 6f596c496e8d5be11c0b79c17566d573 | 2,015 | 428 | 20,054 | 2014-11-27 | 2015-12-04 | 48 | 372 |
| 100 | 91 | 6f596c496e8d5be11c0b79c17566d573 | 2,015 | 428 | 20,054 | 2014-11-27 | 2015-05-28 | 48 | 182 |
| 100 | 93 | 71df184b74186cab450f3962f694ef16 | 2,015 | 297 | 20,038 | 2014-11-11 | 2015-07-02 | 40 | 233 |
| 100 | 93 | 71df184b74186cab450f3962f694ef16 | 2,015 | 297 | 20,038 | 2014-11-11 | 2015-03-14 | 40 | 123 |
| 100 | 95 | 761faab7fc70227180be6e64b167a957 | 2,015 | 291 | 20,318 | 2015-08-18 | 2015-11-30 | 21 | 104 |
| 100 | 95 | 761faab7fc70227180be6e64b167a957 | 2,015 | 291 | 20,313 | 2015-08-13 | 2015-12-17 | 21 | 126 |
| 100 | 96 | 7c7a382fbee4f066ddc8afb03be3c826 | 2,015 | 153 | 20,243 | 2015-06-04 | 2015-10-26 | 38 | 144 |
| 100 | 96 | 7c7a382fbee4f066ddc8afb03be3c826 | 2,015 | 153 | 20,243 | 2015-06-04 | 2015-07-21 | 38 | 47 |
| 100 | 97 | 7ec8d4125a6b9116bd8f331f345c014b | 2,015 | 430 | 19,766 | 2014-02-12 | 2016-03-01 | 41 | 748 |
| 100 | 97 | 7ec8d4125a6b9116bd8f331f345c014b | 2,014 | 430 | 19,766 | 2014-02-12 | 2014-02-28 | 41 | 16 |
| 100 | 98 | 7f0bb9655e6b9839537389c9ff1812ad | 2,015 | 428 | 19,998 | 2014-10-02 | 2015-03-20 | 32 | 169 |
| 100 | 98 | 7f0bb9655e6b9839537389c9ff1812ad | 2,014 | 428 | 19,998 | 2014-10-02 | 2015-03-20 | 32 | 169 |
| 100 | 99 | 82c71d3710722a5d0bba9499037145a0 | 2,015 | 290 | 20,094 | 2015-01-06 | 2015-02-04 | 34 | 29 |
| 100 | 99 | 82c71d3710722a5d0bba9499037145a0 | 2,015 | 290 | 20,089 | 2015-01-01 | 2015-01-02 | 34 | 1 |
| 100 | 101 | 8f670f61c02bc3fbdc01da78b68b578c | 2,015 | 294 | 19,932 | 2014-07-28 | 2015-05-29 | 31 | 305 |
| 100 | 101 | 8f670f61c02bc3fbdc01da78b68b578c | 2,014 | 294 | 19,932 | 2014-07-28 | 2014-09-23 | 31 | 57 |
| 100 | 103 | 951c8a6018f01d8365fcfec7c08a7035 | 2,015 | 234 | 20,159 | 2015-03-12 | 2015-10-16 | 52 | 218 |
| 100 | 103 | 951c8a6018f01d8365fcfec7c08a7035 | 2,015 | 234 | 20,159 | 2015-03-12 | 2015-03-16 | 52 | 4 |
| 100 | 104 | 9a2abc3e9bc522588f068fc7b7f5f426 | 2,015 | 430 | 19,738 | 2014-01-15 | 2016-04-01 | 41 | 807 |
| 100 | 104 | 9a2abc3e9bc522588f068fc7b7f5f426 | 2,014 | 430 | 19,738 | 2014-01-15 | 2014-05-31 | 41 | 136 |
| 100 | 105 | 9a3bb89139cf28cc5da949ed94f34aa0 | 2,015 | 133 | 20,217 | 2015-05-09 | 2015-09-13 | 29 | 127 |
| 100 | 105 | 9a3bb89139cf28cc5da949ed94f34aa0 | 2,015 | 133 | 20,217 | 2015-05-09 | 2015-05-10 | 29 | 1 |
| 100 | 106 | 9a5f660d5d5fa0c4e69dd54df6d328cb | 2,015 | 176 | 19,971 | 2014-09-05 | 2015-08-27 | 42 | 356 |
| 100 | 106 | 9a5f660d5d5fa0c4e69dd54df6d328cb | 2,014 | 176 | 19,971 | 2014-09-05 | 2014-10-01 | 42 | 26 |
| 100 | 107 | 9dc6365d3464f4e2d416dae4d6fa0418 | 2,015 | 133 | 19,836 | 2014-04-23 | 2015-07-29 | 38 | 462 |
| 100 | 107 | 9dc6365d3464f4e2d416dae4d6fa0418 | 2,015 | 133 | 19,836 | 2014-04-23 | 2015-01-31 | 38 | 283 |
| 100 | 109 | a2b6427160333ace569b09be9c711635 | 2,015 | 185 | 20,212 | 2015-05-04 | 2015-10-30 | 36 | 179 |
| 100 | 109 | a2b6427160333ace569b09be9c711635 | 2,015 | 185 | 20,212 | 2015-05-04 | 2015-06-30 | 36 | 57 |
| 100 | 110 | a39db5c5bf7e5875b5fa7e5da40fad4e | 2,015 | 619 | 20,275 | 2015-07-06 | 2016-01-28 | 28 | 206 |
| 100 | 110 | a39db5c5bf7e5875b5fa7e5da40fad4e | 2,015 | 619 | 20,275 | 2015-07-06 | 2015-10-23 | 28 | 109 |
| 100 | 111 | ac21ec73be7f012908b290dc6a0c02fd | 2,015 | 109 | 19,205 | 2012-07-31 | 2015-05-29 | 47 | 1032 |
| 100 | 111 | ac21ec73be7f012908b290dc6a0c02fd | 2,012 | 109 | 19,205 | 2012-07-31 | 2012-11-30 | 47 | 122 |
| 100 | 113 | af0a1af032cb471e887d22c379818ca5 | 2,015 | 294 | 20,100 | 2015-01-12 | 2015-08-31 | 55 | 231 |
| 100 | 113 | af0a1af032cb471e887d22c379818ca5 | 2,015 | 294 | 20,100 | 2015-01-12 | 2015-01-31 | 55 | 19 |
| 100 | 115 | c00033634cb1d0bd2b76816ecee1ba5f | 2,015 | 122 | 19,225 | 2012-08-20 | 2015-05-04 | 48 | 987 |
| 100 | 115 | c00033634cb1d0bd2b76816ecee1ba5f | 2,013 | 122 | 19,225 | 2012-08-20 | 2013-05-02 | 48 | 255 |
| 100 | 116 | c71e887e7215f0dd9441ec77d838e2b4 | 2,015 | 430 | 19,836 | 2014-04-23 | 2015-06-01 | 40 | 404 |
| 100 | 116 | c71e887e7215f0dd9441ec77d838e2b4 | 2,014 | 430 | 19,836 | 2014-04-23 | 2014-05-30 | 40 | 37 |
| 100 | 118 | ca0321a3f39af9448f21dc819aac7b17 | 2,015 | 165 | 20,303 | 2015-08-03 | 2015-08-04 | 31 | 1 |
| 100 | 118 | ca0321a3f39af9448f21dc819aac7b17 | 2,015 | 165 | 20,298 | 2015-07-29 | 2015-08-01 | 31 | 3 |
| 100 | 119 | cb834c203108a1fe886e6d0da2ca947f | 2,015 | 122 | 18,820 | 2011-07-12 | 2015-03-02 | 51 | 1329 |
| 100 | 119 | cb834c203108a1fe886e6d0da2ca947f | 2,013 | 122 | 18,820 | 2011-07-12 | 2013-05-02 | 51 | 660 |
| 100 | 120 | d5daa36a99eff779ab8eb6231c5fc949 | 2,015 | 294 | 19,876 | 2014-06-02 | 2015-06-30 | 26 | 393 |
| 100 | 120 | d5daa36a99eff779ab8eb6231c5fc949 | 2,014 | 294 | 19,877 | 2014-06-03 | 2014-09-30 | 26 | 119 |
| 100 | 121 | d860e71fdbcad1aae2d26afa3216b32d | 2,015 | 294 | 20,025 | 2014-10-29 | 2015-05-29 | 26 | 212 |
| 100 | 121 | d860e71fdbcad1aae2d26afa3216b32d | 2,014 | 294 | 20,025 | 2014-10-29 | 2015-01-30 | 26 | 93 |
| 100 | 122 | df88afafd39dbbc3006af875accc234f | 2,015 | 320 | 19,802 | 2014-03-20 | 2015-02-16 | 28 | 333 |
| 100 | 122 | df88afafd39dbbc3006af875accc234f | 2,014 | 320 | 19,802 | 2014-03-20 | 2014-05-30 | 28 | 71 |
| 100 | 123 | e0e3c723c6e06c17cb714b1d3bdb3c51 | 2,015 | 259 | 20,073 | 2014-12-16 | 2015-08-03 | 36 | 230 |
| 100 | 123 | e0e3c723c6e06c17cb714b1d3bdb3c51 | 2,015 | 259 | 20,073 | 2014-12-16 | 2015-02-25 | 36 | 71 |
| 100 | 124 | e12f73d5fc6c7dfad888eb6272f09695 | 2,015 | 151 | 20,096 | 2015-01-08 | 2015-08-24 | 42 | 228 |
| 100 | 124 | e12f73d5fc6c7dfad888eb6272f09695 | 2,015 | 151 | 20,095 | 2015-01-07 | 2015-01-08 | 42 | 1 |
| 100 | 125 | e67ef8eda354253c9ec46c20d45f8554 | 2,015 | 143 | 19,982 | 2014-09-16 | 2015-10-23 | 52 | 402 |
| 100 | 125 | e67ef8eda354253c9ec46c20d45f8554 | 2,014 | 143 | 19,982 | 2014-09-16 | 2015-02-04 | 52 | 141 |
| 100 | 126 | e89fca3310a7d89866dee2b038ae176c | 2,015 | 262 | 19,317 | 2012-11-20 | 2015-04-29 | 42 | 890 |
| 100 | 126 | e89fca3310a7d89866dee2b038ae176c | 2,012 | 262 | 19,317 | 2012-11-20 | 2013-01-25 | 42 | 66 |
| 100 | 127 | ec75609daae461d1a210f28f707c77af | 2,015 | 181 | 19,792 | 2014-03-10 | 2015-07-09 | 39 | 486 |
| 100 | 127 | ec75609daae461d1a210f28f707c77af | 2,014 | 181 | 19,792 | 2014-03-10 | 2014-04-28 | 39 | 49 |
| 100 | 129 | 00b538cb0ac7e490c99527bf6c60b55f | 2,014 | 133 | 19,834 | 2014-04-21 | 2015-01-06 | 57 | 260 |
| 100 | 129 | 00b538cb0ac7e490c99527bf6c60b55f | 2,014 | 133 | 19,834 | 2014-04-21 | 2014-04-30 | 57 | 9 |
| 100 | 131 | 0f78e5f11078596be1339ff225c0ba92 | 2,014 | 122 | 19,421 | 2013-03-04 | 2014-03-03 | 43 | 364 |
| 100 | 131 | 0f78e5f11078596be1339ff225c0ba92 | 2,013 | 122 | 19,421 | 2013-03-04 | 2013-06-03 | 43 | 91 |
| 100 | 132 | 1049ec04a9b957ab7a6e805d905c79a1 | 2,014 | 430 | 19,828 | 2014-04-15 | 2014-10-01 | 49 | 169 |
| 100 | 132 | 1049ec04a9b957ab7a6e805d905c79a1 | 2,014 | 430 | 19,828 | 2014-04-15 | 2014-05-31 | 49 | 46 |
| 100 | 133 | 1a87fff38e00f68f33deb06f0ba220d4 | 2,014 | 106 | 18,631 | 2011-01-04 | 2014-09-15 | 48 | 1350 |
| 100 | 133 | 1a87fff38e00f68f33deb06f0ba220d4 | 2,012 | 106 | 18,631 | 2011-01-04 | 2012-07-11 | 48 | 554 |
| 100 | 135 | 2a7ce53917ca1f56652d93bf9252c36c | 2,014 | 294 | 19,687 | 2013-11-25 | 2014-08-04 | 48 | 252 |
| 100 | 135 | 2a7ce53917ca1f56652d93bf9252c36c | 2,014 | 294 | 19,687 | 2013-11-25 | 2014-03-03 | 48 | 98 |
| 100 | 136 | 3ca3b680130f62d361dbb5826ae1dfda | 2,014 | 488 | 19,645 | 2013-10-14 | 2014-05-16 | 35 | 214 |
| 100 | 136 | 3ca3b680130f62d361dbb5826ae1dfda | 2,013 | 488 | 19,645 | 2013-10-14 | 2013-10-14 | 35 | 0 |
| 100 | 139 | 43e840307ebe6c6148615003b5db00ec | 2,014 | 120 | 19,687 | 2013-11-25 | 2014-05-05 | 29 | 161 |
| 100 | 139 | 43e840307ebe6c6148615003b5db00ec | 2,013 | 120 | 19,687 | 2013-11-25 | 2013-12-13 | 29 | 18 |
| 100 | 141 | 4c5bbc4b774ab316240a84c146dd8d75 | 2,014 | 117 | 19,565 | 2013-07-26 | 2014-03-31 | 55 | 248 |
| 100 | 141 | 4c5bbc4b774ab316240a84c146dd8d75 | 2,013 | 117 | 19,563 | 2013-07-24 | 2013-07-24 | 55 | 0 |
| 100 | 145 | 5d1af4d3bfac9e87a8408295ac9a4951 | 2,014 | 133 | 19,486 | 2013-05-08 | 2014-11-27 | 45 | 568 |
| 100 | 145 | 5d1af4d3bfac9e87a8408295ac9a4951 | 2,013 | 133 | 19,486 | 2013-05-08 | 2013-08-30 | 45 | 114 |
| 100 | 146 | 5da0ba20b4f7f1f35e15f8737e1d042c | 2,014 | 181 | 19,886 | 2014-06-12 | 2015-01-29 | 38 | 231 |
| 100 | 146 | 5da0ba20b4f7f1f35e15f8737e1d042c | 2,014 | 181 | 19,886 | 2014-06-12 | 2014-06-13 | 38 | 1 |
| 100 | 148 | 72b0c514b07d0756f7e8d728068f6146 | 2,014 | 133 | 19,863 | 2014-05-20 | 2014-11-19 | 52 | 183 |
| 100 | 148 | 72b0c514b07d0756f7e8d728068f6146 | 2,014 | 133 | 19,863 | 2014-05-20 | 2014-05-21 | 52 | 1 |
| 100 | 149 | 7c05538bbba92f4efa2febeec8b61407 | 2,014 | 320 | 19,785 | 2014-03-03 | 2014-04-16 | 52 | 44 |
| 100 | 149 | 7c05538bbba92f4efa2febeec8b61407 | 2,014 | 320 | 19,781 | 2014-02-27 | 2014-02-28 | 52 | 1 |
| 100 | 150 | 86abe004a5c39f635f562c49d2329f7d | 2,014 | 219 | 19,730 | 2014-01-07 | 2014-04-16 | 26 | 99 |
| 100 | 150 | 86abe004a5c39f635f562c49d2329f7d | 2,014 | 219 | 19,729 | 2014-01-06 | 2014-01-06 | 26 | 0 |
| 100 | 151 | 87e1062749afbc4e62d99d775aa84a76 | 2,014 | 122 | 19,115 | 2012-05-02 | 2014-06-30 | 64 | 789 |
| 100 | 151 | 87e1062749afbc4e62d99d775aa84a76 | 2,013 | 122 | 19,115 | 2012-05-02 | 2013-05-09 | 64 | 372 |
| 100 | 152 | 8b82507a9b702e219150e99d433fee8b | 2,014 | 122 | 18,976 | 2011-12-15 | 2014-03-03 | 48 | 809 |
| 100 | 152 | 8b82507a9b702e219150e99d433fee8b | 2,012 | 122 | 18,976 | 2011-12-15 | 2012-08-14 | 48 | 243 |
| 100 | 153 | 905948273e50de5fe1f7f607e4311991 | 2,014 | 220 | 19,991 | 2014-09-25 | 2015-03-02 | 45 | 158 |
| 100 | 153 | 905948273e50de5fe1f7f607e4311991 | 2,014 | 220 | 19,991 | 2014-09-25 | 2014-09-30 | 45 | 5 |
| 100 | 155 | 947cd1df1a388807f9c2f042e99c3b97 | 2,014 | 456 | 19,516 | 2013-06-07 | 2014-02-27 | 59 | 265 |
| 100 | 155 | 947cd1df1a388807f9c2f042e99c3b97 | 2,013 | 456 | 19,516 | 2013-06-07 | 2013-09-03 | 59 | 88 |
| 100 | 156 | 9aee07a134f8dee0402c963f1d493370 | 2,014 | 181 | 19,851 | 2014-05-08 | 2015-01-29 | 51 | 266 |
| 100 | 156 | 9aee07a134f8dee0402c963f1d493370 | 2,014 | 181 | 19,851 | 2014-05-08 | 2014-05-30 | 51 | 22 |
| 100 | 159 | a55a2a1760dcd3677398a643e434a721 | 2,014 | 354 | 19,625 | 2013-09-24 | 2014-02-28 | 31 | 157 |
| 100 | 159 | a55a2a1760dcd3677398a643e434a721 | 2,013 | 354 | 19,624 | 2013-09-23 | 2013-09-23 | 31 | 0 |
| 100 | 161 | a81b5a68a64ec4989b15b06382a45f6c | 2,014 | 438 | 19,974 | 2014-09-08 | 2015-01-02 | 45 | 116 |
| 100 | 161 | a81b5a68a64ec4989b15b06382a45f6c | 2,014 | 438 | 19,974 | 2014-09-08 | 2014-09-09 | 45 | 1 |
| 100 | 162 | a93aa42029049376d9f77aab5ee8d245 | 2,014 | 199 | 19,939 | 2014-08-04 | 2014-12-18 | 42 | 136 |
| 100 | 162 | a93aa42029049376d9f77aab5ee8d245 | 2,014 | 199 | 19,934 | 2014-07-30 | 2014-08-05 | 42 | 6 |
| 100 | 163 | ac3c9557b7a403430b8058e3099fa221 | 2,014 | 303 | 19,750 | 2014-01-27 | 2014-05-31 | 43 | 124 |
| 100 | 163 | ac3c9557b7a403430b8058e3099fa221 | 2,014 | 303 | 19,750 | 2014-01-27 | 2014-01-27 | 43 | 0 |
| 100 | 164 | ae19d8ea6fd06f49cc0a0728fe68a496 | 2,014 | 163 | 19,919 | 2014-07-15 | 2014-09-11 | 58 | 58 |
| 100 | 164 | ae19d8ea6fd06f49cc0a0728fe68a496 | 2,014 | 163 | 19,919 | 2014-07-15 | 2014-09-11 | 58 | 58 |
| 100 | 165 | af08dc8c79af87309f1b4065cd9c04d4 | 2,014 | 161 | 18,911 | 2011-10-11 | 2014-07-11 | 35 | 1004 |
| 100 | 165 | af08dc8c79af87309f1b4065cd9c04d4 | 2,012 | 161 | 18,910 | 2011-10-10 | 2012-09-01 | 35 | 327 |
| 100 | 166 | b90ae1e4036079ecd0276fc13235ca71 | 2,014 | 430 | 19,894 | 2014-06-20 | 2014-11-01 | 53 | 134 |
| 100 | 166 | b90ae1e4036079ecd0276fc13235ca71 | 2,014 | 430 | 19,894 | 2014-06-20 | 2014-08-01 | 53 | 42 |
| 100 | 167 | bb7cf9691cc2bf0ba628271b138f7bd2 | 2,014 | 202 | 19,516 | 2013-06-07 | 2014-03-03 | 51 | 269 |
| 100 | 167 | bb7cf9691cc2bf0ba628271b138f7bd2 | 2,013 | 202 | 19,514 | 2013-06-05 | 2013-09-02 | 51 | 89 |
| 100 | 168 | bd8ad6e1a808c54bfba85f133c577f36 | 2,014 | 502 | 19,520 | 2013-06-11 | 2014-09-24 | 48 | 470 |
| 100 | 168 | bd8ad6e1a808c54bfba85f133c577f36 | 2,014 | 502 | 19,520 | 2013-06-11 | 2014-05-06 | 48 | 329 |
| 100 | 171 | c162a27dbcaf0557bc73ef1f08cefdc5 | 2,014 | 106 | 18,696 | 2011-03-10 | 2014-06-30 | 36 | 1208 |
| 100 | 171 | c162a27dbcaf0557bc73ef1f08cefdc5 | 2,011 | 106 | 18,697 | 2011-03-11 | 2011-06-02 | 36 | 83 |
| 100 | 172 | c2ec2d46f9cfbb7ce6e9a7682d1179b4 | 2,014 | 163 | 19,949 | 2014-08-14 | 2014-09-29 | 48 | 46 |
| 100 | 172 | c2ec2d46f9cfbb7ce6e9a7682d1179b4 | 2,014 | 163 | 19,947 | 2014-08-12 | 2014-09-12 | 48 | 31 |
| 100 | 173 | c6477a01fde05a988b9a7952a60269c7 | 2,014 | 430 | 19,597 | 2013-08-27 | 2015-02-03 | 33 | 525 |
| 100 | 173 | c6477a01fde05a988b9a7952a60269c7 | 2,013 | 430 | 19,597 | 2013-08-27 | 2014-02-10 | 33 | 167 |
| 100 | 174 | ca8f69a33538ee18bae5ed9a8ad74b85 | 2,014 | 238 | 19,696 | 2013-12-04 | 2014-05-26 | 45 | 173 |
| 100 | 174 | ca8f69a33538ee18bae5ed9a8ad74b85 | 2,013 | 238 | 19,696 | 2013-12-04 | 2013-12-04 | 45 | 0 |
| 100 | 175 | ccb6fd2f5ab97b93be47cac3eea31729 | 2,014 | 238 | 19,072 | 2012-03-20 | 2014-10-16 | 37 | 940 |
| 100 | 175 | ccb6fd2f5ab97b93be47cac3eea31729 | 2,012 | 238 | 19,072 | 2012-03-20 | 2012-06-28 | 37 | 100 |
| 100 | 176 | d1dfeb861686d39e9fbbffa46c649830 | 2,014 | 238 | 19,415 | 2013-02-26 | 2015-01-15 | 38 | 688 |
| 100 | 176 | d1dfeb861686d39e9fbbffa46c649830 | 2,013 | 238 | 19,415 | 2013-02-26 | 2013-07-01 | 38 | 125 |
| 100 | 177 | d3bde0ec29e871d6306181e1514c2c1f | 2,014 | 109 | 18,470 | 2010-07-27 | 2014-05-29 | 49 | 1402 |
| 100 | 177 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-11-30 | 49 | 857 |
| 100 | 178 | d3bde0ec29e871d6306181e1514c2c1f | 2,014 | 109 | 18,470 | 2010-07-27 | 2014-05-29 | 49 | 1402 |
| 100 | 178 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-05-29 | 49 | 672 |
| 100 | 179 | d3bde0ec29e871d6306181e1514c2c1f | 2,014 | 109 | 18,470 | 2010-07-27 | 2014-05-29 | 49 | 1402 |
| 100 | 179 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-01-31 | 49 | 553 |
| 100 | 180 | de323716a2bfa3edd3a6f26348eeb78a | 2,014 | 211 | 19,893 | 2014-06-19 | 2014-12-31 | 46 | 195 |
| 100 | 180 | de323716a2bfa3edd3a6f26348eeb78a | 2,014 | 211 | 19,893 | 2014-06-19 | 2014-12-31 | 46 | 195 |
| 100 | 181 | de970d5730f19853f55b07c485e55ae8 | 2,014 | 122 | 19,162 | 2012-06-18 | 2014-09-02 | 30 | 806 |
| 100 | 181 | de970d5730f19853f55b07c485e55ae8 | 2,012 | 122 | 19,162 | 2012-06-18 | 2012-07-02 | 30 | 14 |
| 100 | 182 | dee56cbeec4de4eee351f4fa81682cb7 | 2,014 | 109 | 19,158 | 2012-06-14 | 2014-03-08 | 27 | 632 |
| 100 | 182 | dee56cbeec4de4eee351f4fa81682cb7 | 2,013 | 109 | 19,158 | 2012-06-14 | 2013-02-28 | 27 | 259 |
| 100 | 183 | dee56cbeec4de4eee351f4fa81682cb7 | 2,014 | 109 | 19,158 | 2012-06-14 | 2014-03-08 | 27 | 632 |
| 100 | 183 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2013-01-31 | 27 | 231 |
| 100 | 184 | dee56cbeec4de4eee351f4fa81682cb7 | 2,014 | 109 | 19,158 | 2012-06-14 | 2014-03-08 | 27 | 632 |
| 100 | 184 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2012-08-31 | 27 | 78 |
| 100 | 186 | f1a6ce7a7425fa62603a73a9a6a41ed4 | 2,014 | 133 | 19,683 | 2013-11-21 | 2014-11-27 | 40 | 371 |
| 100 | 186 | f1a6ce7a7425fa62603a73a9a6a41ed4 | 2,013 | 133 | 19,683 | 2013-11-21 | 2013-12-31 | 40 | 40 |
| 100 | 188 | fba24f5affb5795f58a61bed2019722a | 2,014 | 133 | 19,820 | 2014-04-07 | 2014-07-11 | 29 | 95 |
| 100 | 188 | fba24f5affb5795f58a61bed2019722a | 2,014 | 133 | 19,820 | 2014-04-07 | 2014-04-30 | 29 | 23 |
| 100 | 189 | fe069b2ed7f22c3314a9135e19a3193d | 2,014 | 181 | 19,745 | 2014-01-22 | 2014-09-01 | 54 | 222 |
| 100 | 189 | fe069b2ed7f22c3314a9135e19a3193d | 2,014 | 181 | 19,745 | 2014-01-22 | 2014-05-19 | 54 | 117 |
| 100 | 190 | fe28a13b2dd6bd8ad09c08e112e1d9a0 | 2,014 | 163 | 19,921 | 2014-07-17 | 2014-10-17 | 40 | 92 |
| 100 | 190 | fe28a13b2dd6bd8ad09c08e112e1d9a0 | 2,014 | 163 | 19,921 | 2014-07-17 | 2014-09-17 | 40 | 62 |
| 100 | 191 | ffd8afa60137cde2bdf00093f1cc809d | 2,014 | 151 | 19,592 | 2013-08-22 | 2014-04-25 | 38 | 246 |
| 100 | 191 | ffd8afa60137cde2bdf00093f1cc809d | 2,013 | 151 | 19,592 | 2013-08-22 | 2013-12-18 | 38 | 118 |
| 100 | 192 | 007c4ed0bf8578f67cbce17b957d2667 | 2,013 | 273 | 19,325 | 2012-11-28 | 2013-04-01 | 32 | 124 |
| 100 | 192 | 007c4ed0bf8578f67cbce17b957d2667 | 2,012 | 273 | 19,325 | 2012-11-28 | 2012-12-01 | 32 | 3 |
| 100 | 193 | 02496782012c2782b03e8c1c63b64886 | 2,013 | 168 | 19,375 | 2013-01-17 | 2013-11-29 | 53 | 316 |
| 100 | 193 | 02496782012c2782b03e8c1c63b64886 | 2,013 | 168 | 19,375 | 2013-01-17 | 2013-03-29 | 53 | 71 |
| 100 | 195 | 046ecbe615fef4fe6629475c3bc5086d | 2,013 | 130 | 19,208 | 2012-08-03 | 2014-01-31 | 39 | 546 |
| 100 | 195 | 046ecbe615fef4fe6629475c3bc5086d | 2,012 | 130 | 19,204 | 2012-07-30 | 2012-08-30 | 39 | 31 |
| 100 | 196 | 0477f14f787f7d96c09e7e01c1a8bf84 | 2,013 | 109 | 19,347 | 2012-12-20 | 2013-04-01 | 48 | 102 |
| 100 | 196 | 0477f14f787f7d96c09e7e01c1a8bf84 | 2,013 | 109 | 19,347 | 2012-12-20 | 2013-03-29 | 48 | 99 |
| 100 | 197 | 0497e1af3e7bc7c646736de5078e4fb0 | 2,013 | 291 | 18,882 | 2011-09-12 | 2013-05-27 | 52 | 623 |
| 100 | 197 | 0497e1af3e7bc7c646736de5078e4fb0 | 2,011 | 291 | 18,882 | 2011-09-12 | 2012-01-09 | 52 | 119 |
| 100 | 198 | 0b1190568b1c5e01400718f2a07f9dc1 | 2,013 | 109 | 19,200 | 2012-07-26 | 2013-03-29 | 36 | 246 |
| 100 | 198 | 0b1190568b1c5e01400718f2a07f9dc1 | 2,012 | 109 | 19,200 | 2012-07-26 | 2013-02-28 | 36 | 217 |
| 100 | 200 | 1014098fdcbb4ec63da92680ae123785 | 2,013 | 141 | 19,523 | 2013-06-14 | 2013-08-30 | 46 | 77 |
| 100 | 200 | 1014098fdcbb4ec63da92680ae123785 | 2,013 | 141 | 19,523 | 2013-06-14 | 2013-07-19 | 46 | 35 |
| 100 | 201 | 1014468a28f02547917bf396a800c832 | 2,013 | 296 | 19,396 | 2013-02-07 | 2014-02-04 | 30 | 362 |
| 100 | 201 | 1014468a28f02547917bf396a800c832 | 2,013 | 296 | 19,396 | 2013-02-07 | 2013-06-20 | 30 | 133 |
| 100 | 202 | 12701a589f60e59d41bc68d17be2fa03 | 2,013 | 326 | 19,550 | 2013-07-11 | 2013-10-10 | 39 | 91 |
| 100 | 202 | 12701a589f60e59d41bc68d17be2fa03 | 2,013 | 326 | 19,548 | 2013-07-09 | 2013-07-09 | 39 | 0 |
| 100 | 204 | 1adef97bcc96c019a6dddb9b713a9dc7 | 2,013 | 258 | 19,631 | 2013-09-30 | 2013-12-17 | 28 | 78 |
| 100 | 204 | 1adef97bcc96c019a6dddb9b713a9dc7 | 2,013 | 258 | 19,631 | 2013-09-30 | 2013-09-30 | 28 | 0 |
| 100 | 206 | 1dcca374fa9188c336fa9943b243ca8a | 2,013 | 234 | 19,354 | 2012-12-27 | 2013-03-13 | 37 | 76 |
| 100 | 206 | 1dcca374fa9188c336fa9943b243ca8a | 2,013 | 234 | 19,354 | 2012-12-27 | 2013-01-01 | 37 | 5 |
| 100 | 207 | 22345fa5370ad699a4ecccde7aab4d0b | 2,013 | 330 | 18,819 | 2011-07-11 | 2014-08-01 | 51 | 1117 |
| 100 | 207 | 22345fa5370ad699a4ecccde7aab4d0b | 2,012 | 330 | 18,819 | 2011-07-11 | 2012-11-01 | 51 | 479 |
| 100 | 208 | 249acd10753617ed6aff4a7a14e68fe4 | 2,013 | 262 | 19,269 | 2012-10-03 | 2013-03-26 | 33 | 174 |
| 100 | 208 | 249acd10753617ed6aff4a7a14e68fe4 | 2,012 | 262 | 19,269 | 2012-10-03 | 2013-01-02 | 33 | 91 |
| 100 | 209 | 266ecd9e9213df517edb7557e5f6686e | 2,013 | 109 | 19,429 | 2013-03-12 | 2013-10-31 | 49 | 233 |
| 100 | 209 | 266ecd9e9213df517edb7557e5f6686e | 2,013 | 109 | 19,429 | 2013-03-12 | 2013-10-01 | 49 | 203 |
| 100 | 210 | 2733b1c47a86487100ab4bd80f8013ac | 2,013 | 406 | 19,603 | 2013-09-02 | 2013-11-14 | 27 | 73 |
| 100 | 210 | 2733b1c47a86487100ab4bd80f8013ac | 2,013 | 406 | 19,603 | 2013-09-02 | 2013-11-14 | 27 | 73 |
| 100 | 211 | 2947875087b8a6af159cb6bb3bc64cb0 | 2,013 | 150 | 18,477 | 2010-08-03 | 2014-03-26 | 50 | 1331 |
| 100 | 211 | 2947875087b8a6af159cb6bb3bc64cb0 | 2,010 | 150 | 18,477 | 2010-08-03 | 2011-05-26 | 50 | 296 |
| 100 | 212 | 2af56313e7aac2f5ee149c8c24096eb0 | 2,013 | 109 | 19,324 | 2012-11-27 | 2013-06-28 | 49 | 213 |
| 100 | 212 | 2af56313e7aac2f5ee149c8c24096eb0 | 2,012 | 109 | 19,324 | 2012-11-27 | 2012-12-31 | 49 | 34 |
| 100 | 213 | 3697c376d2e4e7fe240efe5dcf735444 | 2,013 | 294 | 19,486 | 2013-05-08 | 2014-01-20 | 48 | 257 |
| 100 | 213 | 3697c376d2e4e7fe240efe5dcf735444 | 2,013 | 294 | 19,486 | 2013-05-08 | 2013-07-22 | 48 | 75 |
| 100 | 214 | 37acd24b5ef6f1a37b064ec1720c615d | 2,013 | 273 | 19,062 | 2012-03-10 | 2013-02-01 | 43 | 328 |
| 100 | 214 | 37acd24b5ef6f1a37b064ec1720c615d | 2,012 | 273 | 19,062 | 2012-03-10 | 2012-03-27 | 43 | 17 |
| 100 | 215 | 37ee83b7040a6178204f1572d86e764e | 2,013 | 168 | 18,661 | 2011-02-03 | 2013-06-03 | 50 | 851 |
| 100 | 215 | 37ee83b7040a6178204f1572d86e764e | 2,012 | 168 | 18,661 | 2011-02-03 | 2012-08-01 | 50 | 545 |
| 100 | 216 | 38f1efda1b65e390076bbb8c042acfc3 | 2,013 | 161 | 18,714 | 2011-03-28 | 2013-05-09 | 43 | 773 |
| 100 | 216 | 38f1efda1b65e390076bbb8c042acfc3 | 2,012 | 161 | 18,714 | 2011-03-28 | 2012-09-01 | 43 | 523 |
| 100 | 217 | 3abe9a42141394f5d7dcd8cc6599dcb5 | 2,013 | 109 | 18,841 | 2011-08-02 | 2013-03-29 | 52 | 605 |
| 100 | 217 | 3abe9a42141394f5d7dcd8cc6599dcb5 | 2,012 | 109 | 18,841 | 2011-08-02 | 2012-07-31 | 52 | 364 |
| 100 | 218 | 44bdade25af78c0338435c228f9e434d | 2,013 | 143 | 19,415 | 2013-02-26 | 2013-07-18 | 32 | 142 |
| 100 | 218 | 44bdade25af78c0338435c228f9e434d | 2,013 | 143 | 19,415 | 2013-02-26 | 2013-06-03 | 32 | 97 |
| 100 | 219 | 46a1f9025fc66e73e287769bec6451c6 | 2,013 | 141 | 19,439 | 2013-03-22 | 2013-04-30 | 54 | 39 |
| 100 | 219 | 46a1f9025fc66e73e287769bec6451c6 | 2,013 | 141 | 19,439 | 2013-03-22 | 2013-04-30 | 54 | 39 |
| 100 | 220 | 4d047f9b6ea92435560f44c3e3aa163f | 2,013 | 109 | 19,101 | 2012-04-18 | 2013-05-01 | 28 | 378 |
| 100 | 220 | 4d047f9b6ea92435560f44c3e3aa163f | 2,012 | 109 | 19,101 | 2012-04-18 | 2012-12-11 | 28 | 237 |
| 100 | 221 | 4d047f9b6ea92435560f44c3e3aa163f | 2,013 | 109 | 19,101 | 2012-04-18 | 2013-05-01 | 28 | 378 |
| 100 | 221 | 4d047f9b6ea92435560f44c3e3aa163f | 2,012 | 109 | 19,101 | 2012-04-18 | 2012-07-24 | 28 | 97 |
| 100 | 222 | 4d9b5b6c8adda1c306ea4643b4dec171 | 2,013 | 291 | 19,333 | 2012-12-06 | 2013-05-31 | 47 | 176 |
| 100 | 222 | 4d9b5b6c8adda1c306ea4643b4dec171 | 2,012 | 291 | 19,333 | 2012-12-06 | 2012-12-20 | 47 | 14 |
| 100 | 224 | 50877c36a315796dee4392655d0eeac4 | 2,013 | 109 | 19,121 | 2012-05-08 | 2013-04-01 | 26 | 328 |
| 100 | 224 | 50877c36a315796dee4392655d0eeac4 | 2,012 | 109 | 19,121 | 2012-05-08 | 2012-11-30 | 26 | 206 |
| 100 | 225 | 50a8a93ab5900dde53c4895e4cf9030a | 2,013 | 295 | 19,688 | 2013-11-26 | 2014-02-26 | 33 | 92 |
| 100 | 225 | 50a8a93ab5900dde53c4895e4cf9030a | 2,013 | 295 | 19,688 | 2013-11-26 | 2013-11-30 | 33 | 4 |
| 100 | 226 | 54073e149cb997aba0b35a98a058a9d7 | 2,013 | 145 | 19,390 | 2013-02-01 | 2013-10-23 | 48 | 264 |
| 100 | 226 | 54073e149cb997aba0b35a98a058a9d7 | 2,013 | 145 | 19,390 | 2013-02-01 | 2013-06-28 | 48 | 147 |
| 100 | 227 | 57b568d22b8cb6316b98d62e515dc6a1 | 2,013 | 301 | 19,072 | 2012-03-20 | 2013-04-26 | 28 | 402 |
| 100 | 227 | 57b568d22b8cb6316b98d62e515dc6a1 | 2,012 | 301 | 19,072 | 2012-03-20 | 2012-06-04 | 28 | 76 |
| 100 | 230 | 5cf7e0058df0a8c347b8dc1358b0f1c6 | 2,013 | 273 | 19,366 | 2013-01-08 | 2013-10-01 | 37 | 266 |
| 100 | 230 | 5cf7e0058df0a8c347b8dc1358b0f1c6 | 2,013 | 273 | 19,366 | 2013-01-08 | 2013-02-02 | 37 | 25 |
| 100 | 232 | 62c6c516557dddab06f4f18e2909cb0b | 2,013 | 123 | 18,189 | 2009-10-19 | 2014-01-29 | 69 | 1563 |
| 100 | 232 | 62c6c516557dddab06f4f18e2909cb0b | 2,010 | 123 | 18,189 | 2009-10-19 | 2010-01-13 | 69 | 86 |
| 100 | 233 | 6338195bfe941793a799e5f85e5ca19e | 2,013 | 430 | 19,424 | 2013-03-07 | 2014-02-10 | 36 | 340 |
| 100 | 233 | 6338195bfe941793a799e5f85e5ca19e | 2,013 | 430 | 19,424 | 2013-03-07 | 2013-08-01 | 36 | 147 |
| 100 | 234 | 6a2463e430c8f8b52f15ceb82aec9cc7 | 2,013 | 178 | 19,242 | 2012-09-06 | 2013-01-31 | 37 | 147 |
| 100 | 234 | 6a2463e430c8f8b52f15ceb82aec9cc7 | 2,012 | 178 | 19,242 | 2012-09-06 | 2012-10-01 | 37 | 25 |
| 100 | 235 | 75cbb3c37fc076f6093330a3c814aacf | 2,013 | 438 | 19,436 | 2013-03-19 | 2013-12-18 | 42 | 274 |
| 100 | 235 | 75cbb3c37fc076f6093330a3c814aacf | 2,013 | 438 | 19,435 | 2013-03-18 | 2013-03-19 | 42 | 1 |
| 100 | 236 | 7639e332a9c2eb7e51cc8e2c6082b122 | 2,013 | 262 | 18,868 | 2011-08-29 | 2013-04-29 | 53 | 609 |
| 100 | 236 | 7639e332a9c2eb7e51cc8e2c6082b122 | 2,012 | 262 | 18,868 | 2011-08-29 | 2012-04-02 | 53 | 217 |
| 100 | 237 | 77f6e94708ebee1f04f96695ee03e9eb | 2,013 | 106 | 18,725 | 2011-04-08 | 2013-04-24 | 35 | 747 |
| 100 | 237 | 77f6e94708ebee1f04f96695ee03e9eb | 2,012 | 106 | 18,725 | 2011-04-08 | 2012-01-20 | 35 | 287 |
| 100 | 238 | 78b8c98a8628b3337ba1ae9d7d5eaa89 | 2,013 | 262 | 19,214 | 2012-08-09 | 2013-03-26 | 43 | 229 |
| 100 | 238 | 78b8c98a8628b3337ba1ae9d7d5eaa89 | 2,012 | 262 | 19,214 | 2012-08-09 | 2012-11-14 | 43 | 97 |
| 100 | 239 | 78f26c69ea97289453274f61a57bc1ee | 2,013 | 109 | 18,480 | 2010-08-06 | 2014-02-03 | 38 | 1277 |
| 100 | 239 | 78f26c69ea97289453274f61a57bc1ee | 2,012 | 109 | 18,480 | 2010-08-06 | 2012-07-31 | 38 | 725 |
| 100 | 240 | 78f26c69ea97289453274f61a57bc1ee | 2,013 | 109 | 18,480 | 2010-08-06 | 2014-02-03 | 38 | 1277 |
| 100 | 240 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-11-30 | 38 | 481 |
| 100 | 241 | 78f26c69ea97289453274f61a57bc1ee | 2,013 | 109 | 18,480 | 2010-08-06 | 2014-02-03 | 38 | 1277 |
| 100 | 241 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-05-30 | 38 | 297 |
| 100 | 243 | 80ff7ce3611b1244edde94498bef6f3f | 2,013 | 109 | 18,960 | 2011-11-29 | 2013-05-29 | 48 | 547 |
| 100 | 243 | 80ff7ce3611b1244edde94498bef6f3f | 2,012 | 109 | 18,960 | 2011-11-29 | 2012-10-31 | 48 | 337 |
| 100 | 244 | 811af501050930aad8607033d18f9a7e | 2,013 | 330 | 19,359 | 2013-01-01 | 2014-01-02 | 48 | 366 |
| 100 | 244 | 811af501050930aad8607033d18f9a7e | 2,013 | 330 | 19,359 | 2013-01-01 | 2013-04-01 | 48 | 90 |
| 100 | 245 | 85bbd702c2cf277e54c343f46b3899ea | 2,013 | 106 | 18,345 | 2010-03-24 | 2013-05-27 | 32 | 1160 |
| 100 | 245 | 85bbd702c2cf277e54c343f46b3899ea | 2,010 | 106 | 18,345 | 2010-03-24 | 2010-11-30 | 32 | 251 |
| 100 | 247 | 8ae0360f85aa050fd6a8481a7d4109d2 | 2,013 | 136 | 19,221 | 2012-08-16 | 2013-02-26 | 41 | 194 |
| 100 | 247 | 8ae0360f85aa050fd6a8481a7d4109d2 | 2,012 | 136 | 19,221 | 2012-08-16 | 2012-09-03 | 41 | 18 |
| 100 | 248 | 8b668043fa10adb096eccb437f81204f | 2,013 | 262 | 19,227 | 2012-08-22 | 2013-02-26 | 43 | 188 |
| 100 | 248 | 8b668043fa10adb096eccb437f81204f | 2,012 | 262 | 19,227 | 2012-08-22 | 2012-11-13 | 43 | 83 |
| 100 | 251 | 8fa752970cb75c40c449f044aff526be | 2,013 | 148 | 19,491 | 2013-05-13 | 2013-12-26 | 34 | 227 |
| 100 | 251 | 8fa752970cb75c40c449f044aff526be | 2,013 | 148 | 19,491 | 2013-05-13 | 2013-07-01 | 34 | 49 |
| 100 | 252 | 961e4288b387fee2b84c6a31caf89409 | 2,013 | 430 | 19,492 | 2013-05-14 | 2013-12-02 | 32 | 202 |
| 100 | 252 | 961e4288b387fee2b84c6a31caf89409 | 2,013 | 430 | 19,492 | 2013-05-14 | 2013-05-31 | 32 | 17 |
| 100 | 254 | 98f131d11f7a559fed3ff281a55995b5 | 2,013 | 109 | 19,366 | 2013-01-08 | 2013-08-01 | 59 | 205 |
| 100 | 254 | 98f131d11f7a559fed3ff281a55995b5 | 2,013 | 109 | 19,366 | 2013-01-08 | 2013-05-29 | 59 | 141 |
| 100 | 255 | 9a6aba8a3a3a9dfb9469f242c1c78ebe | 2,013 | 145 | 19,205 | 2012-07-31 | 2013-06-28 | 37 | 332 |
| 100 | 255 | 9a6aba8a3a3a9dfb9469f242c1c78ebe | 2,012 | 145 | 19,205 | 2012-07-31 | 2012-12-19 | 37 | 141 |
| 100 | 256 | 9ba137d88799c4dc61c8b9edd3927d57 | 2,013 | 248 | 19,269 | 2012-10-03 | 2013-10-01 | 58 | 363 |
| 100 | 256 | 9ba137d88799c4dc61c8b9edd3927d57 | 2,013 | 248 | 19,269 | 2012-10-03 | 2013-08-01 | 58 | 302 |
| 100 | 257 | 9cf8505a7c7abcdf06a4817295a0cfdb | 2,013 | 426 | 19,534 | 2013-06-25 | 2013-11-14 | 61 | 142 |
| 100 | 257 | 9cf8505a7c7abcdf06a4817295a0cfdb | 2,013 | 426 | 19,534 | 2013-06-25 | 2013-07-18 | 61 | 23 |
| 100 | 258 | 9fe3ae9287c6e45f7da4858f936a1abf | 2,013 | 234 | 19,311 | 2012-11-14 | 2013-04-01 | 27 | 138 |
| 100 | 258 | 9fe3ae9287c6e45f7da4858f936a1abf | 2,012 | 234 | 19,311 | 2012-11-14 | 2012-12-11 | 27 | 27 |
| 100 | 259 | a1870ea77b591e1c4d1af585b9c712bb | 2,013 | 295 | 18,707 | 2011-03-21 | 2013-03-28 | 53 | 738 |
| 100 | 259 | a1870ea77b591e1c4d1af585b9c712bb | 2,011 | 295 | 18,707 | 2011-03-21 | 2011-08-31 | 53 | 163 |
| 100 | 260 | a3f933adfed44a7c012462a252534ca0 | 2,013 | 253 | 19,286 | 2012-10-20 | 2013-05-30 | 52 | 222 |
| 100 | 260 | a3f933adfed44a7c012462a252534ca0 | 2,012 | 253 | 19,286 | 2012-10-20 | 2012-11-28 | 52 | 39 |
| 100 | 261 | a6bfffbd6e404d505c7abe6ab1bae973 | 2,013 | 262 | 19,239 | 2012-09-03 | 2013-03-26 | 34 | 204 |
| 100 | 261 | a6bfffbd6e404d505c7abe6ab1bae973 | 2,012 | 262 | 19,239 | 2012-09-03 | 2013-01-02 | 34 | 121 |
| 100 | 262 | a9a2f7f65e7daa65da2edaca0fa427a5 | 2,013 | 262 | 19,326 | 2012-11-29 | 2013-01-31 | 31 | 63 |
| 100 | 262 | a9a2f7f65e7daa65da2edaca0fa427a5 | 2,012 | 262 | 19,326 | 2012-11-29 | 2013-01-02 | 31 | 34 |
| 100 | 263 | ace460ae4527071c9039dc91dfd58092 | 2,013 | 241 | 19,645 | 2013-10-14 | 2013-12-31 | 62 | 78 |
| 100 | 263 | ace460ae4527071c9039dc91dfd58092 | 2,013 | 241 | 19,645 | 2013-10-14 | 2013-10-14 | 62 | 0 |
| 100 | 264 | b277ab101130419fe70f0491b0d10b7b | 2,013 | 225 | 19,558 | 2013-07-19 | 2014-01-17 | 46 | 182 |
| 100 | 264 | b277ab101130419fe70f0491b0d10b7b | 2,013 | 225 | 19,558 | 2013-07-19 | 2013-08-28 | 46 | 40 |
| 100 | 265 | b2a01d19b9919a1946aeb2715b29d668 | 2,013 | 109 | 19,274 | 2012-10-08 | 2013-03-29 | 40 | 172 |
| 100 | 265 | b2a01d19b9919a1946aeb2715b29d668 | 2,012 | 109 | 19,274 | 2012-10-08 | 2012-10-29 | 40 | 21 |
| 100 | 266 | b2cc6fe845acc4abb91f53a9c087ca2d | 2,013 | 238 | 19,429 | 2013-03-12 | 2013-10-07 | 64 | 209 |
| 100 | 266 | b2cc6fe845acc4abb91f53a9c087ca2d | 2,013 | 238 | 19,429 | 2013-03-12 | 2013-07-01 | 64 | 111 |
| 100 | 267 | bd09f5139151685bdfa9b551b31c2039 | 2,013 | 122 | 19,159 | 2012-06-15 | 2014-01-02 | 35 | 566 |
| 100 | 267 | bd09f5139151685bdfa9b551b31c2039 | 2,012 | 122 | 19,159 | 2012-06-15 | 2012-07-02 | 35 | 17 |
| 100 | 268 | bd96a5545b73010d4f6853aebb9141e8 | 2,013 | 149 | 18,961 | 2011-11-30 | 2013-02-18 | 56 | 446 |
| 100 | 268 | bd96a5545b73010d4f6853aebb9141e8 | 2,012 | 149 | 18,961 | 2011-11-30 | 2012-04-26 | 56 | 148 |
| 100 | 269 | c286aa07f47ac63249ab173a2caf5b8b | 2,013 | 109 | 18,919 | 2011-10-19 | 2013-05-29 | 30 | 588 |
| 100 | 269 | c286aa07f47ac63249ab173a2caf5b8b | 2,012 | 109 | 18,919 | 2011-10-19 | 2012-04-11 | 30 | 175 |
| 100 | 270 | c286aa07f47ac63249ab173a2caf5b8b | 2,013 | 109 | 18,919 | 2011-10-19 | 2013-05-29 | 30 | 588 |
| 100 | 270 | c286aa07f47ac63249ab173a2caf5b8b | 2,011 | 109 | 18,919 | 2011-10-19 | 2012-01-31 | 30 | 104 |
| 100 | 271 | c3765ec41a137664da0578362e43e293 | 2,013 | 109 | 19,323 | 2012-11-26 | 2013-10-31 | 44 | 339 |
| 100 | 271 | c3765ec41a137664da0578362e43e293 | 2,012 | 109 | 19,323 | 2012-11-26 | 2013-03-29 | 44 | 123 |
| 100 | 272 | c9414d816e02187881b04d3d959ab908 | 2,013 | 366 | 19,198 | 2012-07-24 | 2013-08-30 | 48 | 402 |
| 100 | 272 | c9414d816e02187881b04d3d959ab908 | 2,012 | 366 | 19,198 | 2012-07-24 | 2012-11-05 | 48 | 104 |
| 100 | 274 | dc64642e719cf9134ad7850686fa8864 | 2,013 | 122 | 19,600 | 2013-08-30 | 2013-10-31 | 38 | 62 |
| 100 | 274 | dc64642e719cf9134ad7850686fa8864 | 2,013 | 122 | 19,597 | 2013-08-27 | 2013-08-30 | 38 | 3 |
| 100 | 275 | dee56cbeec4de4eee351f4fa81682cb7 | 2,013 | 109 | 19,158 | 2012-06-14 | 2013-02-28 | 27 | 259 |
| 100 | 275 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2013-01-31 | 27 | 231 |
| 100 | 276 | dee56cbeec4de4eee351f4fa81682cb7 | 2,013 | 109 | 19,158 | 2012-06-14 | 2013-02-28 | 27 | 259 |
| 100 | 276 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2012-08-31 | 27 | 78 |
| 100 | 277 | e2c5474cbacafd5f9bbd23a81ca3f41c | 2,013 | 330 | 19,359 | 2013-01-01 | 2014-01-02 | 43 | 366 |
| 100 | 277 | e2c5474cbacafd5f9bbd23a81ca3f41c | 2,013 | 330 | 19,359 | 2013-01-01 | 2013-03-01 | 43 | 59 |
| 100 | 278 | e4904926bfdcf3272132d3da302e5548 | 2,013 | 109 | 18,571 | 2010-11-05 | 2013-09-02 | 46 | 1032 |
| 100 | 278 | e4904926bfdcf3272132d3da302e5548 | 2,011 | 109 | 18,567 | 2010-11-01 | 2011-08-31 | 46 | 303 |
| 100 | 279 | e7ef6d9b5630369e03594371cb68b9dd | 2,013 | 123 | 19,319 | 2012-11-22 | 2013-11-29 | 28 | 372 |
| 100 | 279 | e7ef6d9b5630369e03594371cb68b9dd | 2,012 | 123 | 19,319 | 2012-11-22 | 2012-12-13 | 28 | 21 |
| 100 | 280 | e8c67f0c0003adce21c55005bdad715e | 2,013 | 109 | 19,403 | 2013-02-14 | 2014-01-01 | 48 | 321 |
| 100 | 280 | e8c67f0c0003adce21c55005bdad715e | 2,013 | 109 | 19,403 | 2013-02-14 | 2013-02-28 | 48 | 14 |
| 100 | 281 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | 109 | 18,742 | 2011-04-25 | 2014-01-01 | 38 | 982 |
| 100 | 281 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | 109 | 18,742 | 2011-04-25 | 2013-04-01 | 38 | 707 |
| 100 | 282 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | 109 | 18,742 | 2011-04-25 | 2014-01-01 | 38 | 982 |
| 100 | 282 | ef0b5b424d9309e41493784cb95ff201 | 2,011 | 109 | 18,742 | 2011-04-25 | 2011-07-27 | 38 | 93 |
| 100 | 283 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | 109 | 18,742 | 2011-04-25 | 2013-04-01 | 38 | 707 |
| 100 | 283 | ef0b5b424d9309e41493784cb95ff201 | 2,011 | 109 | 18,742 | 2011-04-25 | 2011-07-27 | 38 | 93 |
| 100 | 284 | efbf6292d65abbe137a58e13c1a2d967 | 2,013 | 294 | 19,172 | 2012-06-28 | 2013-05-03 | 50 | 309 |
| 100 | 284 | efbf6292d65abbe137a58e13c1a2d967 | 2,012 | 294 | 19,177 | 2012-07-03 | 2012-11-26 | 50 | 146 |
| 100 | 285 | f017bcf8d99892579b6d7458073a8fbd | 2,013 | 261 | 18,402 | 2010-05-20 | 2013-01-29 | 29 | 985 |
| 100 | 285 | f017bcf8d99892579b6d7458073a8fbd | 2,011 | 261 | 18,402 | 2010-05-20 | 2011-05-02 | 29 | 347 |
| 100 | 287 | f797c258abe92f1d06a3971caa8b9ba5 | 2,013 | 146 | 19,374 | 2013-01-16 | 2013-07-04 | 28 | 169 |
| 100 | 287 | f797c258abe92f1d06a3971caa8b9ba5 | 2,013 | 146 | 19,374 | 2013-01-16 | 2013-04-11 | 28 | 85 |
| 100 | 288 | 00b7ca67ba6dc226f79d64a989631985 | 2,012 | 261 | 18,451 | 2010-07-08 | 2012-09-27 | 49 | 812 |
| 100 | 288 | 00b7ca67ba6dc226f79d64a989631985 | 2,010 | 261 | 18,451 | 2010-07-08 | 2010-11-02 | 49 | 117 |
| 100 | 289 | 0b2dfb7d0b068a214097c9f21dc572e6 | 2,012 | 141 | 18,773 | 2011-05-26 | 2012-05-25 | 33 | 365 |
| 100 | 289 | 0b2dfb7d0b068a214097c9f21dc572e6 | 2,011 | 141 | 18,773 | 2011-05-26 | 2011-09-30 | 33 | 127 |
| 100 | 290 | 0f36aaee6c124fb208bd4c6feed513ef | 2,012 | 157 | 18,835 | 2011-07-27 | 2012-04-30 | 46 | 278 |
| 100 | 290 | 0f36aaee6c124fb208bd4c6feed513ef | 2,011 | 157 | 18,835 | 2011-07-27 | 2011-08-17 | 46 | 21 |
| 100 | 291 | 0fc9384d878f73cbb49361f80815c52a | 2,012 | 294 | 18,722 | 2011-04-05 | 2012-04-26 | 29 | 387 |
| 100 | 291 | 0fc9384d878f73cbb49361f80815c52a | 2,012 | 294 | 18,722 | 2011-04-05 | 2012-02-29 | 29 | 330 |
| 100 | 292 | 0fc9384d878f73cbb49361f80815c52a | 2,012 | 294 | 18,722 | 2011-04-05 | 2012-04-26 | 29 | 387 |
| 100 | 292 | 0fc9384d878f73cbb49361f80815c52a | 2,011 | 294 | 18,722 | 2011-04-05 | 2011-06-28 | 29 | 84 |
| 100 | 293 | 0fc9384d878f73cbb49361f80815c52a | 2,012 | 294 | 18,722 | 2011-04-05 | 2012-02-29 | 29 | 330 |
| 100 | 293 | 0fc9384d878f73cbb49361f80815c52a | 2,011 | 294 | 18,722 | 2011-04-05 | 2011-06-28 | 29 | 84 |
| 100 | 294 | 150e1c0d93c09191831b2f1ccb38c6fb | 2,012 | 348 | 19,142 | 2012-05-29 | 2012-11-17 | 34 | 172 |
| 100 | 294 | 150e1c0d93c09191831b2f1ccb38c6fb | 2,012 | 348 | 19,142 | 2012-05-29 | 2012-08-29 | 34 | 92 |
| 100 | 296 | 17765d893468bf6c94b241476090fa74 | 2,012 | 261 | 18,464 | 2010-07-21 | 2012-07-27 | 51 | 737 |
| 100 | 296 | 17765d893468bf6c94b241476090fa74 | 2,011 | 261 | 18,464 | 2010-07-21 | 2011-09-30 | 51 | 436 |
| 100 | 297 | 187f129a95d524cd399ffdaacc0f671e | 2,012 | 122 | 18,483 | 2010-08-09 | 2012-08-28 | 31 | 750 |
| 100 | 297 | 187f129a95d524cd399ffdaacc0f671e | 2,011 | 122 | 18,483 | 2010-08-09 | 2011-08-31 | 31 | 387 |
| 100 | 298 | 187f129a95d524cd399ffdaacc0f671e | 2,012 | 122 | 18,483 | 2010-08-09 | 2012-08-28 | 31 | 750 |
| 100 | 298 | 187f129a95d524cd399ffdaacc0f671e | 2,010 | 122 | 18,483 | 2010-08-09 | 2010-12-31 | 31 | 144 |
| 100 | 299 | 206857a3bdcc1e5b6d18e0470c722768 | 2,012 | 109 | 18,450 | 2010-07-07 | 2012-10-31 | 29 | 847 |
| 100 | 299 | 206857a3bdcc1e5b6d18e0470c722768 | 2,010 | 109 | 18,450 | 2010-07-07 | 2011-05-31 | 29 | 328 |
| 100 | 301 | 232695732dfc90b5d83b46a08236f2d5 | 2,012 | 262 | 19,136 | 2012-05-23 | 2013-01-03 | 46 | 225 |
| 100 | 301 | 232695732dfc90b5d83b46a08236f2d5 | 2,012 | 262 | 19,136 | 2012-05-23 | 2012-05-23 | 46 | 0 |
| 100 | 302 | 24316a8aac65ae80ba4d0ec913325ce4 | 2,012 | 122 | 18,000 | 2009-04-13 | 2012-07-31 | 32 | 1205 |
| 100 | 302 | 24316a8aac65ae80ba4d0ec913325ce4 | 2,010 | 122 | 18,000 | 2009-04-13 | 2010-11-30 | 32 | 596 |
| 100 | 303 | 26d59b8103bbe6496468b919c194c89b | 2,012 | 295 | 18,970 | 2011-12-09 | 2012-09-21 | 48 | 287 |
| 100 | 303 | 26d59b8103bbe6496468b919c194c89b | 2,012 | 295 | 18,970 | 2011-12-09 | 2012-04-30 | 48 | 143 |
| 100 | 304 | 276bdb1844a62e362f14ebc860d10d46 | 2,012 | 140 | 18,989 | 2011-12-28 | 2013-01-04 | 44 | 373 |
| 100 | 304 | 276bdb1844a62e362f14ebc860d10d46 | 2,012 | 140 | 18,989 | 2011-12-28 | 2012-04-30 | 44 | 124 |
| 100 | 305 | 288459035ad00d5a0e27730adc2a4c84 | 2,012 | 150 | 18,683 | 2011-02-25 | 2012-11-21 | 35 | 635 |
| 100 | 305 | 288459035ad00d5a0e27730adc2a4c84 | 2,012 | 150 | 18,683 | 2011-02-25 | 2012-05-01 | 35 | 431 |
| 100 | 306 | 2916feee8d33b62e85f2eb148e66825e | 2,012 | 109 | 18,830 | 2011-07-22 | 2012-08-01 | 49 | 376 |
| 100 | 306 | 2916feee8d33b62e85f2eb148e66825e | 2,011 | 109 | 18,830 | 2011-07-22 | 2012-01-31 | 49 | 193 |
| 100 | 307 | 2ce99b1176ae93a615ee876e220f36b8 | 2,012 | 123 | 18,548 | 2010-10-13 | 2012-07-10 | 47 | 636 |
| 100 | 307 | 2ce99b1176ae93a615ee876e220f36b8 | 2,011 | 123 | 18,548 | 2010-10-13 | 2011-10-04 | 47 | 356 |
| 100 | 308 | 2d5fa0edc491c0326a18430fadf08556 | 2,012 | 151 | 18,463 | 2010-07-20 | 2012-07-31 | 39 | 742 |
| 100 | 308 | 2d5fa0edc491c0326a18430fadf08556 | 2,010 | 151 | 18,463 | 2010-07-20 | 2011-05-30 | 39 | 314 |
| 100 | 309 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2013-03-29 | 44 | 360 |
| 100 | 309 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2012-08-31 | 44 | 150 |
| 100 | 310 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2013-03-29 | 44 | 360 |
| 100 | 310 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2012-07-31 | 44 | 119 |
| 100 | 311 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2012-08-31 | 44 | 150 |
| 100 | 311 | 2fcefa9a6c645e18977010b9f6cde25b | 2,012 | 109 | 19,086 | 2012-04-03 | 2012-07-31 | 44 | 119 |
| 100 | 313 | 343c2ab1ecd15d4e3436e148c570324a | 2,012 | 109 | 19,001 | 2012-01-09 | 2013-01-31 | 36 | 388 |
| 100 | 313 | 343c2ab1ecd15d4e3436e148c570324a | 2,012 | 109 | 19,001 | 2012-01-09 | 2012-10-31 | 36 | 296 |
| 100 | 314 | 3469f15377fdfc99dbbc9eee7272a0b9 | 2,012 | 109 | 19,138 | 2012-05-25 | 2013-01-01 | 29 | 221 |
| 100 | 314 | 3469f15377fdfc99dbbc9eee7272a0b9 | 2,012 | 109 | 19,138 | 2012-05-25 | 2012-08-31 | 29 | 98 |
| 100 | 315 | 3a0d03592ce71ab3c2861f53d75ab648 | 2,012 | 294 | 18,878 | 2011-09-08 | 2012-11-30 | 39 | 449 |
| 100 | 315 | 3a0d03592ce71ab3c2861f53d75ab648 | 2,011 | 294 | 18,878 | 2011-09-08 | 2011-10-31 | 39 | 53 |
| 100 | 317 | 40067db8e6d621ee529412bab80bb254 | 2,012 | 109 | 18,694 | 2011-03-08 | 2012-03-30 | 32 | 388 |
| 100 | 317 | 40067db8e6d621ee529412bab80bb254 | 2,011 | 109 | 18,694 | 2011-03-08 | 2011-12-31 | 32 | 298 |
| 100 | 318 | 40067db8e6d621ee529412bab80bb254 | 2,012 | 109 | 18,694 | 2011-03-08 | 2012-03-30 | 32 | 388 |
| 100 | 318 | 40067db8e6d621ee529412bab80bb254 | 2,011 | 109 | 18,694 | 2011-03-08 | 2011-08-31 | 32 | 176 |
| 100 | 319 | 44d219838aeeba9c5642a9c33750e365 | 2,012 | 261 | 18,469 | 2010-07-26 | 2012-06-13 | 39 | 688 |
| 100 | 319 | 44d219838aeeba9c5642a9c33750e365 | 2,011 | 261 | 18,469 | 2010-07-26 | 2011-10-24 | 39 | 455 |
| 100 | 320 | 44d219838aeeba9c5642a9c33750e365 | 2,012 | 261 | 18,469 | 2010-07-26 | 2012-06-13 | 39 | 688 |
| 100 | 320 | 44d219838aeeba9c5642a9c33750e365 | 2,011 | 261 | 18,469 | 2010-07-26 | 2011-03-25 | 39 | 242 |
| 100 | 322 | 4d047f9b6ea92435560f44c3e3aa163f | 2,012 | 109 | 19,101 | 2012-04-18 | 2012-12-11 | 28 | 237 |
| 100 | 322 | 4d047f9b6ea92435560f44c3e3aa163f | 2,012 | 109 | 19,101 | 2012-04-18 | 2012-07-24 | 28 | 97 |
| 100 | 324 | 4d7961e0a72ee876c7fb8d7e858497f9 | 2,012 | 109 | 17,983 | 2009-03-27 | 2013-01-31 | 51 | 1406 |
| 100 | 324 | 4d7961e0a72ee876c7fb8d7e858497f9 | 2,010 | 109 | 17,983 | 2009-03-27 | 2011-06-29 | 51 | 824 |
| 100 | 325 | 4e160b03cdc8ba4ed6d7f4b1303c086e | 2,012 | 157 | 18,758 | 2011-05-11 | 2012-05-01 | 30 | 356 |
| 100 | 325 | 4e160b03cdc8ba4ed6d7f4b1303c086e | 2,011 | 157 | 18,758 | 2011-05-11 | 2011-06-01 | 30 | 21 |
| 100 | 326 | 52775d91cf99417bf465e62a6db2ad06 | 2,012 | 122 | 18,847 | 2011-08-08 | 2013-01-31 | 44 | 542 |
| 100 | 326 | 52775d91cf99417bf465e62a6db2ad06 | 2,012 | 122 | 18,847 | 2011-08-08 | 2012-04-27 | 44 | 263 |
| 100 | 327 | 543f4ae415aa67b021654caba88a5184 | 2,012 | 142 | 18,969 | 2011-12-08 | 2012-02-01 | 34 | 55 |
| 100 | 327 | 543f4ae415aa67b021654caba88a5184 | 2,011 | 142 | 18,968 | 2011-12-07 | 2011-12-09 | 34 | 2 |
| 100 | 330 | 58d8c303e1211c63d1ceb30c36902fd6 | 2,012 | 141 | 18,520 | 2010-09-15 | 2012-06-28 | 36 | 652 |
| 100 | 330 | 58d8c303e1211c63d1ceb30c36902fd6 | 2,011 | 141 | 18,520 | 2010-09-15 | 2011-05-31 | 36 | 258 |
| 100 | 332 | 5a435c3cc2fb1e57cbbfc19a7848d3ce | 2,012 | 294 | 19,128 | 2012-05-15 | 2012-12-07 | 28 | 206 |
| 100 | 332 | 5a435c3cc2fb1e57cbbfc19a7848d3ce | 2,012 | 294 | 19,128 | 2012-05-15 | 2012-05-31 | 28 | 16 |
| 100 | 333 | 5b122f7907eb0b4ddf1667ea28f24370 | 2,012 | 122 | 19,064 | 2012-03-12 | 2012-11-26 | 38 | 259 |
| 100 | 333 | 5b122f7907eb0b4ddf1667ea28f24370 | 2,012 | 122 | 19,064 | 2012-03-12 | 2012-06-29 | 38 | 109 |
| 100 | 334 | 673845fc49b7c4b82d5d1aa11ec2581c | 2,012 | 279 | 18,318 | 2010-02-25 | 2012-07-31 | 74 | 887 |
| 100 | 334 | 673845fc49b7c4b82d5d1aa11ec2581c | 2,010 | 279 | 18,318 | 2010-02-25 | 2010-12-02 | 74 | 280 |
| 100 | 335 | 674c68d8ee8be86362da775d3eb13d26 | 2,012 | 294 | 18,700 | 2011-03-14 | 2012-06-25 | 46 | 469 |
| 100 | 335 | 674c68d8ee8be86362da775d3eb13d26 | 2,011 | 294 | 18,700 | 2011-03-14 | 2011-12-01 | 46 | 262 |
| 100 | 336 | 682168b6517b83452a6f702567e50e72 | 2,012 | 109 | 18,763 | 2011-05-16 | 2012-07-31 | 44 | 442 |
| 100 | 336 | 682168b6517b83452a6f702567e50e72 | 2,011 | 109 | 18,763 | 2011-05-16 | 2011-09-30 | 44 | 137 |
| 100 | 337 | 6d96706a52fd4c2f57a99d3ffcc8ed44 | 2,012 | 294 | 18,953 | 2011-11-22 | 2012-07-31 | 48 | 252 |
| 100 | 337 | 6d96706a52fd4c2f57a99d3ffcc8ed44 | 2,012 | 294 | 18,953 | 2011-11-22 | 2012-02-29 | 48 | 99 |
| 100 | 338 | 6d9d83e18362244a9d0746b7bf2e1316 | 2,012 | 122 | 18,683 | 2011-02-25 | 2012-03-30 | 57 | 399 |
| 100 | 338 | 6d9d83e18362244a9d0746b7bf2e1316 | 2,011 | 122 | 18,683 | 2011-02-25 | 2011-05-03 | 57 | 67 |
| 100 | 340 | 78f26c69ea97289453274f61a57bc1ee | 2,012 | 109 | 18,480 | 2010-08-06 | 2012-07-31 | 38 | 725 |
| 100 | 340 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-11-30 | 38 | 481 |
| 100 | 341 | 78f26c69ea97289453274f61a57bc1ee | 2,012 | 109 | 18,480 | 2010-08-06 | 2012-07-31 | 38 | 725 |
| 100 | 341 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-05-30 | 38 | 297 |
| 100 | 342 | 7931bc3d89f1b6c4b7b02bf50efab272 | 2,012 | 190 | 19,186 | 2012-07-12 | 2012-10-15 | 29 | 95 |
| 100 | 342 | 7931bc3d89f1b6c4b7b02bf50efab272 | 2,012 | 190 | 19,186 | 2012-07-12 | 2012-08-15 | 29 | 34 |
| 100 | 343 | 7bd47f01bb34508c7bbae7aa73237ee9 | 2,012 | 142 | 19,271 | 2012-10-05 | 2012-12-07 | 32 | 63 |
| 100 | 343 | 7bd47f01bb34508c7bbae7aa73237ee9 | 2,012 | 142 | 19,271 | 2012-10-05 | 2012-11-05 | 32 | 31 |
| 100 | 344 | 803200a08fc1158fd99409af906a11a3 | 2,012 | 109 | 19,229 | 2012-08-24 | 2013-03-29 | 35 | 217 |
| 100 | 344 | 803200a08fc1158fd99409af906a11a3 | 2,012 | 109 | 19,229 | 2012-08-24 | 2012-11-30 | 35 | 98 |
| 100 | 345 | 82cc308fc3fdff6cf1ffcef682ff86c6 | 2,012 | 106 | 18,611 | 2010-12-15 | 2012-01-19 | 33 | 400 |
| 100 | 345 | 82cc308fc3fdff6cf1ffcef682ff86c6 | 2,011 | 106 | 18,611 | 2010-12-15 | 2011-04-01 | 33 | 107 |
| 100 | 346 | 86c24fbd25b6fe4a3886f3bf65af8c9d | 2,012 | 122 | 19,067 | 2012-03-15 | 2013-01-31 | 49 | 322 |
| 100 | 346 | 86c24fbd25b6fe4a3886f3bf65af8c9d | 2,012 | 122 | 19,067 | 2012-03-15 | 2012-05-01 | 49 | 47 |
| 100 | 347 | 897a8536cedf9e062871f061db708e08 | 2,012 | 175 | 19,120 | 2012-05-07 | 2012-07-27 | 27 | 81 |
| 100 | 347 | 897a8536cedf9e062871f061db708e08 | 2,012 | 175 | 19,120 | 2012-05-07 | 2012-05-16 | 27 | 9 |
| 100 | 348 | 8a22e27f0505be4a50c28cb00693ee16 | 2,012 | 194 | 18,911 | 2011-10-11 | 2012-06-04 | 63 | 237 |
| 100 | 348 | 8a22e27f0505be4a50c28cb00693ee16 | 2,011 | 194 | 18,911 | 2011-10-11 | 2011-11-29 | 63 | 49 |
| 100 | 349 | 8b368e99d611a973ff49d8e1e7846d75 | 2,012 | 141 | 19,155 | 2012-06-11 | 2012-09-28 | 42 | 109 |
| 100 | 349 | 8b368e99d611a973ff49d8e1e7846d75 | 2,012 | 141 | 19,151 | 2012-06-07 | 2012-06-29 | 42 | 22 |
| 100 | 350 | 8d3868f12695dccd5822f6be067e9304 | 2,012 | 109 | 18,753 | 2011-05-06 | 2012-10-31 | 51 | 544 |
| 100 | 350 | 8d3868f12695dccd5822f6be067e9304 | 2,011 | 109 | 18,752 | 2011-05-05 | 2011-08-31 | 51 | 118 |
| 100 | 352 | 94169f853aaeb754b0b67f48966d018f | 2,012 | 294 | 18,938 | 2011-11-07 | 2012-05-01 | 52 | 176 |
| 100 | 352 | 94169f853aaeb754b0b67f48966d018f | 2,011 | 294 | 18,938 | 2011-11-07 | 2012-01-02 | 52 | 56 |
| 100 | 353 | 960aaaec235d222f6dd20559e568c308 | 2,012 | 243 | 19,106 | 2012-04-23 | 2012-10-02 | 40 | 162 |
| 100 | 353 | 960aaaec235d222f6dd20559e568c308 | 2,012 | 243 | 19,106 | 2012-04-23 | 2012-04-23 | 40 | 0 |
| 100 | 356 | a0778a19b5a442833495675e79bda1a2 | 2,012 | 106 | 18,946 | 2011-11-15 | 2012-09-28 | 57 | 318 |
| 100 | 356 | a0778a19b5a442833495675e79bda1a2 | 2,012 | 106 | 18,946 | 2011-11-15 | 2012-01-03 | 57 | 49 |
| 100 | 357 | a0ab2a18c362bf4954becf21cee6250d | 2,012 | 147 | 19,065 | 2012-03-13 | 2012-04-25 | 34 | 43 |
| 100 | 357 | a0ab2a18c362bf4954becf21cee6250d | 2,012 | 147 | 19,065 | 2012-03-13 | 2012-03-13 | 34 | 0 |
| 100 | 358 | af7dc7c98dde9a17f51379c41cc12585 | 2,012 | 294 | 18,970 | 2011-12-09 | 2012-02-01 | 28 | 54 |
| 100 | 358 | af7dc7c98dde9a17f51379c41cc12585 | 2,011 | 294 | 18,970 | 2011-12-09 | 2012-01-02 | 28 | 24 |
| 100 | 359 | b71b69c9e559dd602046ab42a28d48fd | 2,012 | 106 | 18,204 | 2009-11-03 | 2012-01-27 | 32 | 815 |
| 100 | 359 | b71b69c9e559dd602046ab42a28d48fd | 2,011 | 106 | 18,204 | 2009-11-03 | 2011-06-16 | 32 | 590 |
| 100 | 360 | b71b69c9e559dd602046ab42a28d48fd | 2,012 | 106 | 18,204 | 2009-11-03 | 2012-01-27 | 32 | 815 |
| 100 | 360 | b71b69c9e559dd602046ab42a28d48fd | 2,010 | 106 | 18,204 | 2009-11-03 | 2010-11-24 | 32 | 386 |
| 100 | 361 | b8625adc23f83f9774372e8e6c4fd780 | 2,012 | 109 | 18,582 | 2010-11-16 | 2012-03-30 | 47 | 500 |
| 100 | 361 | b8625adc23f83f9774372e8e6c4fd780 | 2,011 | 109 | 18,582 | 2010-11-16 | 2011-12-01 | 47 | 380 |
| 100 | 363 | c10561f14f13a6fe4dfc3b8e0d5a43b6 | 2,012 | 138 | 18,688 | 2011-03-02 | 2012-09-03 | 47 | 551 |
| 100 | 363 | c10561f14f13a6fe4dfc3b8e0d5a43b6 | 2,011 | 138 | 18,688 | 2011-03-02 | 2011-06-01 | 47 | 91 |
| 100 | 364 | c286aa07f47ac63249ab173a2caf5b8b | 2,012 | 109 | 18,919 | 2011-10-19 | 2012-04-11 | 30 | 175 |
| 100 | 364 | c286aa07f47ac63249ab173a2caf5b8b | 2,011 | 109 | 18,919 | 2011-10-19 | 2012-01-31 | 30 | 104 |
| 100 | 365 | c344bb5af16bf94de8f450986058b03d | 2,012 | 109 | 18,107 | 2009-07-29 | 2012-03-30 | 50 | 975 |
| 100 | 365 | c344bb5af16bf94de8f450986058b03d | 2,012 | 109 | 18,107 | 2009-07-29 | 2012-02-29 | 50 | 945 |
| 100 | 366 | c3d2d951cde34c4e0e8ace4510e2b8bb | 2,012 | 109 | 18,820 | 2011-07-12 | 2013-01-31 | 37 | 569 |
| 100 | 366 | c3d2d951cde34c4e0e8ace4510e2b8bb | 2,011 | 109 | 18,820 | 2011-07-12 | 2012-01-31 | 37 | 203 |
| 100 | 367 | c6f92de7d0138a635dc64749f38eab0c | 2,012 | 109 | 19,073 | 2012-03-21 | 2012-10-31 | 33 | 224 |
| 100 | 367 | c6f92de7d0138a635dc64749f38eab0c | 2,012 | 109 | 19,073 | 2012-03-21 | 2012-05-31 | 33 | 71 |
| 100 | 368 | c9a5d381412bc13154a121fea7394dff | 2,012 | 261 | 19,036 | 2012-02-13 | 2012-06-28 | 32 | 136 |
| 100 | 368 | c9a5d381412bc13154a121fea7394dff | 2,012 | 261 | 19,036 | 2012-02-13 | 2012-03-27 | 32 | 43 |
| 100 | 369 | cbf647c3c0b686f30f535ac5d33eb0d1 | 2,012 | 259 | 18,371 | 2010-04-19 | 2012-10-31 | 33 | 926 |
| 100 | 369 | cbf647c3c0b686f30f535ac5d33eb0d1 | 2,010 | 259 | 18,371 | 2010-04-19 | 2010-05-13 | 33 | 24 |
| 100 | 370 | cc28c38baf36a2e813889463e1ffbd15 | 2,012 | 295 | 19,054 | 2012-03-02 | 2012-03-30 | 44 | 28 |
| 100 | 370 | cc28c38baf36a2e813889463e1ffbd15 | 2,012 | 295 | 19,053 | 2012-03-01 | 2012-03-01 | 44 | 0 |
| 100 | 371 | d3b992e2df71ef5a66b2c5ffc011019a | 2,012 | 123 | 18,345 | 2010-03-24 | 2012-11-21 | 38 | 973 |
| 100 | 371 | d3b992e2df71ef5a66b2c5ffc011019a | 2,010 | 123 | 18,345 | 2010-03-24 | 2010-10-07 | 38 | 197 |
| 100 | 372 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-11-30 | 49 | 857 |
| 100 | 372 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-05-29 | 49 | 672 |
| 100 | 373 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-11-30 | 49 | 857 |
| 100 | 373 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-01-31 | 49 | 553 |
| 100 | 374 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-05-29 | 49 | 672 |
| 100 | 374 | d3bde0ec29e871d6306181e1514c2c1f | 2,012 | 109 | 18,470 | 2010-07-27 | 2012-01-31 | 49 | 553 |
| 100 | 375 | d496a8ffab0bde341838a4cec790d0d6 | 2,012 | 182 | 19,057 | 2012-03-05 | 2012-04-20 | 34 | 46 |
| 100 | 375 | d496a8ffab0bde341838a4cec790d0d6 | 2,012 | 182 | 19,052 | 2012-02-29 | 2012-03-02 | 34 | 2 |
| 100 | 376 | d4bbe6468ffaa45448fe3454424c2feb | 2,012 | 122 | 17,993 | 2009-04-06 | 2013-01-16 | 68 | 1381 |
| 100 | 376 | d4bbe6468ffaa45448fe3454424c2feb | 2,011 | 122 | 17,993 | 2009-04-06 | 2011-05-03 | 68 | 757 |
| 100 | 377 | d4bbe6468ffaa45448fe3454424c2feb | 2,012 | 122 | 17,993 | 2009-04-06 | 2013-01-16 | 68 | 1381 |
| 100 | 377 | d4bbe6468ffaa45448fe3454424c2feb | 2,010 | 122 | 17,993 | 2009-04-06 | 2010-12-31 | 68 | 634 |
| 100 | 378 | d5a0136b2bf3131078cefb9e124e283e | 2,012 | 109 | 18,751 | 2011-05-04 | 2013-01-31 | 33 | 638 |
| 100 | 378 | d5a0136b2bf3131078cefb9e124e283e | 2,012 | 109 | 18,751 | 2011-05-04 | 2012-08-31 | 33 | 485 |
| 100 | 379 | d6d9f12a59aef87242e315fca3357941 | 2,012 | 109 | 18,899 | 2011-09-29 | 2012-07-24 | 34 | 299 |
| 100 | 379 | d6d9f12a59aef87242e315fca3357941 | 2,012 | 109 | 18,898 | 2011-09-28 | 2012-04-30 | 34 | 215 |
| 100 | 380 | d84aa4e55b585c50a6d5f5bb47b8fe5e | 2,012 | 123 | 18,724 | 2011-04-07 | 2012-11-28 | 43 | 601 |
| 100 | 380 | d84aa4e55b585c50a6d5f5bb47b8fe5e | 2,011 | 123 | 18,724 | 2011-04-07 | 2012-01-27 | 43 | 295 |
| 100 | 381 | d97ea4cf313bee5e752667a520059a00 | 2,012 | 109 | 18,847 | 2011-08-08 | 2012-10-31 | 38 | 450 |
| 100 | 381 | d97ea4cf313bee5e752667a520059a00 | 2,011 | 109 | 18,847 | 2011-08-08 | 2011-11-21 | 38 | 105 |
| 100 | 382 | da5276df55f116602c82d0bbe15311eb | 2,012 | 294 | 18,947 | 2011-11-16 | 2012-07-27 | 34 | 254 |
| 100 | 382 | da5276df55f116602c82d0bbe15311eb | 2,012 | 294 | 18,947 | 2011-11-16 | 2012-05-31 | 34 | 197 |
| 100 | 384 | dbae85ce66f38abba296dda936737984 | 2,012 | 294 | 18,858 | 2011-08-19 | 2012-07-23 | 34 | 339 |
| 100 | 384 | dbae85ce66f38abba296dda936737984 | 2,011 | 294 | 18,858 | 2011-08-19 | 2012-01-02 | 34 | 136 |
| 100 | 385 | dbae85ce66f38abba296dda936737984 | 2,012 | 294 | 18,858 | 2011-08-19 | 2012-07-23 | 34 | 339 |
| 100 | 385 | dbae85ce66f38abba296dda936737984 | 2,011 | 294 | 18,858 | 2011-08-19 | 2011-09-26 | 34 | 38 |
| 100 | 386 | de16417ca505e79d6d5035a403d0afa4 | 2,012 | 109 | 18,164 | 2009-09-24 | 2013-01-31 | 33 | 1225 |
| 100 | 386 | de16417ca505e79d6d5035a403d0afa4 | 2,011 | 109 | 18,164 | 2009-09-24 | 2011-12-01 | 33 | 798 |
| 100 | 387 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2013-01-31 | 27 | 231 |
| 100 | 387 | dee56cbeec4de4eee351f4fa81682cb7 | 2,012 | 109 | 19,158 | 2012-06-14 | 2012-08-31 | 27 | 78 |
| 100 | 388 | e5b159eb47c8a4ac91e45722113d45b0 | 2,012 | 109 | 18,752 | 2011-05-05 | 2012-10-31 | 31 | 545 |
| 100 | 388 | e5b159eb47c8a4ac91e45722113d45b0 | 2,011 | 109 | 18,756 | 2011-05-09 | 2011-10-31 | 31 | 175 |
| 100 | 390 | eb1400630ecd016919be6c4a1d2ccae3 | 2,012 | 294 | 18,966 | 2011-12-05 | 2012-11-30 | 40 | 361 |
| 100 | 390 | eb1400630ecd016919be6c4a1d2ccae3 | 2,012 | 294 | 18,966 | 2011-12-05 | 2012-02-29 | 40 | 86 |
| 100 | 391 | eb75f1fa2f650a712f3078cdc31d18e1 | 2,012 | 109 | 18,715 | 2011-03-29 | 2013-01-31 | 27 | 674 |
| 100 | 391 | eb75f1fa2f650a712f3078cdc31d18e1 | 2,011 | 109 | 18,715 | 2011-03-29 | 2011-06-30 | 27 | 93 |
| 100 | 392 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-10-09 | 39 | 424 |
| 100 | 392 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-02-29 | 39 | 201 |
| 100 | 393 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-10-09 | 39 | 424 |
| 100 | 393 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-12-01 | 39 | 111 |
| 100 | 394 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-10-09 | 39 | 424 |
| 100 | 394 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-10-31 | 39 | 80 |
| 100 | 395 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-02-29 | 39 | 201 |
| 100 | 395 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-12-01 | 39 | 111 |
| 100 | 396 | f278cbef747d76860f2bf8e4f410b9d6 | 2,012 | 294 | 18,851 | 2011-08-12 | 2012-02-29 | 39 | 201 |
| 100 | 396 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-10-31 | 39 | 80 |
| 100 | 398 | f726f678d59b317d4c6a7ee6cfa63b03 | 2,012 | 109 | 19,121 | 2012-05-08 | 2013-01-31 | 56 | 268 |
| 100 | 398 | f726f678d59b317d4c6a7ee6cfa63b03 | 2,012 | 109 | 19,121 | 2012-05-08 | 2012-09-28 | 56 | 143 |
| 100 | 399 | 0016bbee99f53c237ed04eb373211817 | 2,011 | 269 | 18,526 | 2010-09-21 | 2011-11-20 | 35 | 425 |
| 100 | 399 | 0016bbee99f53c237ed04eb373211817 | 2,011 | 269 | 18,526 | 2010-09-21 | 2011-05-31 | 35 | 252 |
| 100 | 400 | 0372499208d56dac5ebeca76329d5661 | 2,011 | 123 | 18,361 | 2010-04-09 | 2011-07-28 | 34 | 475 |
| 100 | 400 | 0372499208d56dac5ebeca76329d5661 | 2,010 | 123 | 18,361 | 2010-04-09 | 2010-05-17 | 34 | 38 |
| 100 | 401 | 075fe595d9415cb5f3f1ecf63f406d98 | 2,011 | 122 | 18,651 | 2011-01-24 | 2011-04-15 | 44 | 81 |
| 100 | 401 | 075fe595d9415cb5f3f1ecf63f406d98 | 2,011 | 122 | 18,651 | 2011-01-24 | 2011-02-28 | 44 | 35 |
| 100 | 402 | 08dd4a357399c138a5819b2ffd0e999a | 2,011 | 332 | 18,689 | 2011-03-03 | 2011-09-29 | 37 | 210 |
| 100 | 402 | 08dd4a357399c138a5819b2ffd0e999a | 2,011 | 332 | 18,689 | 2011-03-03 | 2011-05-31 | 37 | 89 |
| 100 | 403 | 0dd5b07ee1a0f0064cf000aa2747bb23 | 2,011 | 116 | 18,780 | 2011-06-02 | 2011-12-31 | 48 | 212 |
| 100 | 403 | 0dd5b07ee1a0f0064cf000aa2747bb23 | 2,011 | 116 | 18,780 | 2011-06-02 | 2011-08-07 | 48 | 66 |
| 100 | 404 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2012-04-05 | 39 | 210 |
| 100 | 404 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2011-10-31 | 39 | 53 |
| 100 | 405 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2012-04-05 | 39 | 210 |
| 100 | 405 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2011-10-03 | 39 | 25 |
| 100 | 406 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2011-10-31 | 39 | 53 |
| 100 | 406 | 0edfdeaf9369ab95c6992609962f108d | 2,011 | 294 | 18,878 | 2011-09-08 | 2011-10-03 | 39 | 25 |
| 100 | 407 | 0f6032fdfe355af354dac1ef88a1a043 | 2,011 | 301 | 18,654 | 2011-01-27 | 2011-11-11 | 38 | 288 |
| 100 | 407 | 0f6032fdfe355af354dac1ef88a1a043 | 2,011 | 301 | 18,654 | 2011-01-27 | 2011-07-12 | 38 | 166 |
| 100 | 408 | 10bc9f139fcfd0f012b5dcf59bcbf417 | 2,011 | 109 | 18,240 | 2009-12-09 | 2011-06-02 | 42 | 540 |
| 100 | 408 | 10bc9f139fcfd0f012b5dcf59bcbf417 | 2,011 | 109 | 18,240 | 2009-12-09 | 2011-01-31 | 42 | 418 |
| 100 | 409 | 187f129a95d524cd399ffdaacc0f671e | 2,011 | 122 | 18,483 | 2010-08-09 | 2011-08-31 | 31 | 387 |
| 100 | 409 | 187f129a95d524cd399ffdaacc0f671e | 2,010 | 122 | 18,483 | 2010-08-09 | 2010-12-31 | 31 | 144 |
| 100 | 410 | 1892dab247fd46439de490b350394c36 | 2,011 | 108 | 18,562 | 2010-10-27 | 2011-05-11 | 34 | 196 |
| 100 | 410 | 1892dab247fd46439de490b350394c36 | 2,010 | 108 | 18,562 | 2010-10-27 | 2011-02-01 | 34 | 97 |
| 100 | 411 | 18c5bef4dc0510a1d5e456934408c9db | 2,011 | 123 | 18,702 | 2011-03-16 | 2011-08-29 | 41 | 166 |
| 100 | 411 | 18c5bef4dc0510a1d5e456934408c9db | 2,011 | 123 | 18,702 | 2011-03-16 | 2011-04-14 | 41 | 29 |
| 100 | 412 | 1a522e72424746ec8fdd2ab78d1f5fc1 | 2,011 | 109 | 18,830 | 2011-07-22 | 2011-12-01 | 28 | 132 |
| 100 | 412 | 1a522e72424746ec8fdd2ab78d1f5fc1 | 2,011 | 109 | 18,830 | 2011-07-22 | 2011-08-31 | 28 | 40 |
| 100 | 413 | 1c172dc9d5a625291f9367142bee157e | 2,011 | 109 | 18,515 | 2010-09-10 | 2011-07-01 | 38 | 294 |
| 100 | 413 | 1c172dc9d5a625291f9367142bee157e | 2,010 | 109 | 18,515 | 2010-09-10 | 2010-12-31 | 38 | 112 |
| 100 | 414 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2,011 | 142 | 18,899 | 2011-09-29 | 2011-12-02 | 44 | 64 |
| 100 | 414 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2,011 | 142 | 18,899 | 2011-09-29 | NA | 44 | NA |
| 100 | 415 | 2172033ab8c0b1e54245c25852918d66 | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-08-01 | 41 | 360 |
| 100 | 415 | 2172033ab8c0b1e54245c25852918d66 | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-04-30 | 41 | 267 |
| 100 | 416 | 22022d87f3ca16e379dc26d2d4745321 | 2,011 | 238 | 18,367 | 2010-04-15 | 2011-03-21 | 45 | 340 |
| 100 | 416 | 22022d87f3ca16e379dc26d2d4745321 | 2,010 | 238 | 18,367 | 2010-04-15 | 2010-07-01 | 45 | 77 |
| 100 | 417 | 26ebae5888430e7cbb106e484faf76a0 | 2,011 | 148 | 18,772 | 2011-05-25 | 2012-03-19 | 30 | 299 |
| 100 | 417 | 26ebae5888430e7cbb106e484faf76a0 | 2,011 | 148 | 18,772 | 2011-05-25 | 2011-08-15 | 30 | 82 |
| 100 | 418 | 2bb47464e66f8432219a1b629dc0759e | 2,011 | 147 | 18,673 | 2011-02-15 | 2011-06-20 | 48 | 125 |
| 100 | 418 | 2bb47464e66f8432219a1b629dc0759e | 2,011 | 147 | 18,673 | 2011-02-15 | 2011-03-09 | 48 | 22 |
| 100 | 419 | 2fb4729683525ae88137d81ec16725a7 | 2,011 | 123 | 18,562 | 2010-10-27 | 2011-07-28 | 34 | 274 |
| 100 | 419 | 2fb4729683525ae88137d81ec16725a7 | 2,010 | 123 | 18,562 | 2010-10-27 | 2011-01-14 | 34 | 79 |
| 100 | 420 | 33ced5503c1eb1a63dd65edcd682fc41 | 2,011 | 218 | 18,809 | 2011-07-01 | 2012-01-02 | 35 | 185 |
| 100 | 420 | 33ced5503c1eb1a63dd65edcd682fc41 | 2,011 | 218 | 18,806 | 2011-06-28 | 2011-06-30 | 35 | 2 |
| 100 | 421 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,011 | 109 | 18,473 | 2010-07-30 | 2011-12-01 | 38 | 489 |
| 100 | 421 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,011 | 109 | 18,473 | 2010-07-30 | 2011-03-31 | 38 | 244 |
| 100 | 422 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,011 | 109 | 18,473 | 2010-07-30 | 2011-12-01 | 38 | 489 |
| 100 | 422 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,010 | 109 | 18,473 | 2010-07-30 | 2010-08-31 | 38 | 32 |
| 100 | 423 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,011 | 109 | 18,473 | 2010-07-30 | 2011-03-31 | 38 | 244 |
| 100 | 423 | 3cd03d4cd8ae6ec1f6eb1fb82a0e330d | 2,010 | 109 | 18,473 | 2010-07-30 | 2010-08-31 | 38 | 32 |
| 100 | 424 | 3ed9dbd5239bbc5eb73d437d58678db8 | 2,011 | 109 | 17,926 | 2009-01-29 | 2011-10-31 | 55 | 1005 |
| 100 | 424 | 3ed9dbd5239bbc5eb73d437d58678db8 | 2,010 | 109 | 17,926 | 2009-01-29 | 2010-01-04 | 55 | 340 |
| 100 | 425 | 40067db8e6d621ee529412bab80bb254 | 2,011 | 109 | 18,694 | 2011-03-08 | 2011-12-31 | 32 | 298 |
| 100 | 425 | 40067db8e6d621ee529412bab80bb254 | 2,011 | 109 | 18,694 | 2011-03-08 | 2011-08-31 | 32 | 176 |
| 100 | 426 | 420b584eb7c75d0b8645c640a094af8d | 2,011 | 161 | 18,340 | 2010-03-19 | 2011-10-17 | 49 | 577 |
| 100 | 426 | 420b584eb7c75d0b8645c640a094af8d | 2,010 | 161 | 18,340 | 2010-03-19 | 2010-06-09 | 49 | 82 |
| 100 | 427 | 445c17103b071f7f9476fa10cf02bea1 | 2,011 | 109 | 18,487 | 2010-08-13 | 2011-04-29 | 35 | 259 |
| 100 | 427 | 445c17103b071f7f9476fa10cf02bea1 | 2,010 | 109 | 18,487 | 2010-08-13 | 2010-09-30 | 35 | 48 |
| 100 | 428 | 44d219838aeeba9c5642a9c33750e365 | 2,011 | 261 | 18,469 | 2010-07-26 | 2011-10-24 | 39 | 455 |
| 100 | 428 | 44d219838aeeba9c5642a9c33750e365 | 2,011 | 261 | 18,469 | 2010-07-26 | 2011-03-25 | 39 | 242 |
| 100 | 429 | 457a5a5865f3e5eb74a0d6e3a3e5c267 | 2,011 | 108 | 18,556 | 2010-10-21 | 2011-02-28 | 33 | 130 |
| 100 | 429 | 457a5a5865f3e5eb74a0d6e3a3e5c267 | 2,010 | 108 | 18,556 | 2010-10-21 | 2011-02-01 | 33 | 103 |
| 100 | 430 | 49fdac1f7a3eb744f72301d9d956774b | 2,011 | 122 | 18,338 | 2010-03-17 | 2012-02-27 | 64 | 712 |
| 100 | 430 | 49fdac1f7a3eb744f72301d9d956774b | 2,010 | 122 | 18,338 | 2010-03-17 | 2010-12-31 | 64 | 289 |
| 100 | 431 | 4bf3c6a5bb3c004c5badb56225c378f5 | 2,011 | 236 | 18,753 | 2011-05-06 | NA | 65 | 3105 |
| 100 | 431 | 4bf3c6a5bb3c004c5badb56225c378f5 | 2,011 | 236 | 18,752 | 2011-05-05 | 2011-08-31 | 65 | 118 |
| 100 | 432 | 4ee661d16e6fd355c3a44c9c9e0e5457 | 2,011 | 109 | 17,971 | 2009-03-15 | 2011-03-31 | 42 | 746 |
| 100 | 432 | 4ee661d16e6fd355c3a44c9c9e0e5457 | 2,010 | 109 | 17,968 | 2009-03-12 | 2010-12-31 | 42 | 659 |
| 100 | 433 | 4ee661d16e6fd355c3a44c9c9e0e5457 | 2,011 | 109 | 17,959 | 2009-03-03 | 2011-12-01 | 42 | 1003 |
| 100 | 433 | 4ee661d16e6fd355c3a44c9c9e0e5457 | 2,010 | 109 | 17,960 | 2009-03-04 | 2010-05-31 | 42 | 453 |
| 100 | 434 | 4f81dd80d2e7e7e0b46b7d4f3765e9a4 | 2,011 | 122 | 17,665 | 2008-05-13 | 2011-02-23 | 73 | 1016 |
| 100 | 434 | 4f81dd80d2e7e7e0b46b7d4f3765e9a4 | 2,010 | 122 | 17,665 | 2008-05-13 | 2011-01-26 | 73 | 988 |
| 100 | 435 | 5816d947eac509176dcb242ae8be8c8b | 2,011 | 109 | 18,238 | 2009-12-07 | 2011-08-01 | 49 | 602 |
| 100 | 435 | 5816d947eac509176dcb242ae8be8c8b | 2,011 | 109 | 18,238 | 2009-12-07 | 2011-04-29 | 49 | 508 |
| 100 | 436 | 5816d947eac509176dcb242ae8be8c8b | 2,011 | 109 | 18,238 | 2009-12-07 | 2011-08-01 | 49 | 602 |
| 100 | 436 | 5816d947eac509176dcb242ae8be8c8b | 2,010 | 109 | 18,238 | 2009-12-07 | 2011-03-31 | 49 | 479 |
| 100 | 437 | 5816d947eac509176dcb242ae8be8c8b | 2,011 | 109 | 18,238 | 2009-12-07 | 2011-04-29 | 49 | 508 |
| 100 | 437 | 5816d947eac509176dcb242ae8be8c8b | 2,010 | 109 | 18,238 | 2009-12-07 | 2011-03-31 | 49 | 479 |
| 100 | 438 | 5bf2fa39816f7eb3735ba7b4ca68efe8 | 2,011 | 122 | 18,270 | 2010-01-08 | 2011-05-31 | 62 | 508 |
| 100 | 438 | 5bf2fa39816f7eb3735ba7b4ca68efe8 | 2,010 | 122 | 18,270 | 2010-01-08 | 2010-08-09 | 62 | 213 |
| 100 | 439 | 5c24a3b2c2085118083a67af5f7467fe | 2,011 | 238 | 18,224 | 2009-11-23 | 2011-01-28 | 36 | 431 |
| 100 | 439 | 5c24a3b2c2085118083a67af5f7467fe | 2,010 | 238 | 18,224 | 2009-11-23 | 2010-07-01 | 36 | 220 |
| 100 | 440 | 5cb17c4c4fff9e6d9f7eab47c049cbd4 | 2,011 | 141 | 18,487 | 2010-08-13 | 2011-03-31 | 46 | 230 |
| 100 | 440 | 5cb17c4c4fff9e6d9f7eab47c049cbd4 | 2,010 | 141 | 18,487 | 2010-08-13 | 2010-12-02 | 46 | 111 |
| 100 | 441 | 5dd0c003819e67b75c0ee5ffc980623b | 2,011 | 109 | 18,728 | 2011-04-11 | 2011-09-30 | 36 | 172 |
| 100 | 441 | 5dd0c003819e67b75c0ee5ffc980623b | 2,011 | 109 | 18,728 | 2011-04-11 | 2011-08-31 | 36 | 142 |
| 100 | 442 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-09-30 | 33 | 1045 |
| 100 | 442 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-08-31 | 33 | 1015 |
| 100 | 443 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-09-30 | 33 | 1045 |
| 100 | 443 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-04-27 | 33 | 889 |
| 100 | 444 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-09-30 | 33 | 1045 |
| 100 | 444 | 5dda046920f44c681845287d201c6187 | 2,010 | 109 | 17,855 | 2008-11-19 | 2010-09-30 | 33 | 680 |
| 100 | 445 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-08-31 | 33 | 1015 |
| 100 | 445 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-04-27 | 33 | 889 |
| 100 | 446 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-08-31 | 33 | 1015 |
| 100 | 446 | 5dda046920f44c681845287d201c6187 | 2,010 | 109 | 17,855 | 2008-11-19 | 2010-09-30 | 33 | 680 |
| 100 | 447 | 5dda046920f44c681845287d201c6187 | 2,011 | 109 | 17,855 | 2008-11-19 | 2011-04-27 | 33 | 889 |
| 100 | 447 | 5dda046920f44c681845287d201c6187 | 2,010 | 109 | 17,855 | 2008-11-19 | 2010-09-30 | 33 | 680 |
| 100 | 448 | 63421aecd06c9240416af330bb238a5f | 2,011 | 148 | 18,723 | 2011-04-06 | 2012-03-14 | 38 | 343 |
| 100 | 448 | 63421aecd06c9240416af330bb238a5f | 2,011 | 148 | 18,723 | 2011-04-06 | 2011-11-23 | 38 | 231 |
| 100 | 449 | 6680457b0ac2175ef06c3d56c4e7ec1b | 2,011 | 122 | 17,933 | 2009-02-05 | 2011-02-23 | 37 | 748 |
| 100 | 449 | 6680457b0ac2175ef06c3d56c4e7ec1b | 2,010 | 122 | 17,933 | 2009-02-05 | 2010-03-08 | 37 | 396 |
| 100 | 450 | 6933fe919569725de8d10211fee3e0f1 | 2,011 | 148 | 18,744 | 2011-04-27 | 2011-11-23 | 36 | 210 |
| 100 | 450 | 6933fe919569725de8d10211fee3e0f1 | 2,011 | 148 | 18,744 | 2011-04-27 | 2011-04-28 | 36 | 1 |
| 100 | 451 | 722646fca1b34862e4a3c275d12cf0e8 | 2,011 | 290 | 18,710 | 2011-03-24 | 2011-11-01 | 36 | 222 |
| 100 | 451 | 722646fca1b34862e4a3c275d12cf0e8 | 2,011 | 290 | 18,710 | 2011-03-24 | 2011-03-31 | 36 | 7 |
| 100 | 452 | 7380c3b54771f3eaed695f5436eb0c56 | 2,011 | 294 | 18,599 | 2010-12-03 | 2011-04-25 | 31 | 143 |
| 100 | 452 | 7380c3b54771f3eaed695f5436eb0c56 | 2,011 | 294 | 18,599 | 2010-12-03 | 2011-02-25 | 31 | 84 |
| 100 | 453 | 75de922c70d2384a330ad1092244ff62 | 2,011 | 320 | 18,658 | 2011-01-31 | 2011-03-02 | 33 | 30 |
| 100 | 453 | 75de922c70d2384a330ad1092244ff62 | 2,011 | 320 | 18,658 | 2011-01-31 | 2011-03-02 | 33 | 30 |
| 100 | 454 | 78194555bf801e7efa5490ee3734559c | 2,011 | 122 | 18,715 | 2011-03-29 | 2012-04-09 | 62 | 377 |
| 100 | 454 | 78194555bf801e7efa5490ee3734559c | 2,011 | 122 | 18,715 | 2011-03-29 | 2011-05-02 | 62 | 34 |
| 100 | 455 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-11-30 | 38 | 481 |
| 100 | 455 | 78f26c69ea97289453274f61a57bc1ee | 2,011 | 109 | 18,480 | 2010-08-06 | 2011-05-30 | 38 | 297 |
| 100 | 456 | 797bbe5c644ae0f83f616c83ceb57499 | 2,011 | 294 | 18,665 | 2011-02-07 | 2012-05-01 | 35 | 449 |
| 100 | 456 | 797bbe5c644ae0f83f616c83ceb57499 | 2,011 | 294 | 18,665 | 2011-02-07 | 2011-04-27 | 35 | 79 |
| 100 | 457 | 7b33aae7999def4110e4c85533b4ab07 | 2,011 | 181 | 18,557 | 2010-10-22 | 2011-08-29 | 43 | 311 |
| 100 | 457 | 7b33aae7999def4110e4c85533b4ab07 | 2,010 | 181 | 18,557 | 2010-10-22 | 2011-01-28 | 43 | 98 |
| 100 | 458 | 7c3b33f7131449bab6d82f93f4a0a727 | 2,011 | 109 | 18,514 | 2010-09-09 | 2011-09-30 | 39 | 386 |
| 100 | 458 | 7c3b33f7131449bab6d82f93f4a0a727 | 2,011 | 109 | 18,514 | 2010-09-09 | 2011-04-15 | 39 | 218 |
| 100 | 459 | 7cef51ced602328c4b8c88f4389657bf | 2,011 | 122 | 18,645 | 2011-01-18 | 2012-03-30 | 46 | 437 |
| 100 | 459 | 7cef51ced602328c4b8c88f4389657bf | 2,011 | 122 | 18,645 | 2011-01-18 | 2011-05-31 | 46 | 133 |
| 100 | 460 | 7cf6cf9a80a0a0ef4180953c06779894 | 2,011 | 109 | 18,588 | 2010-11-22 | 2012-01-31 | 53 | 435 |
| 100 | 460 | 7cf6cf9a80a0a0ef4180953c06779894 | 2,011 | 109 | 18,588 | 2010-11-22 | 2011-08-31 | 53 | 282 |
| 100 | 461 | 7d2c487efcd3c85802b81000cfd9e4b3 | 2,011 | 122 | 18,718 | 2011-04-01 | 2012-03-30 | 55 | 364 |
| 100 | 461 | 7d2c487efcd3c85802b81000cfd9e4b3 | 2,011 | 122 | 18,718 | 2011-04-01 | 2011-05-02 | 55 | 31 |
| 100 | 462 | 813a63201654b6bf14fe6b60ca337422 | 2,011 | 136 | 18,749 | 2011-05-02 | 2011-09-30 | 38 | 151 |
| 100 | 462 | 813a63201654b6bf14fe6b60ca337422 | 2,011 | 136 | 18,749 | 2011-05-02 | 2011-06-06 | 38 | 35 |
| 100 | 463 | 8559a8aec31e7e03c53679c3b80fbdfb | 2,011 | 141 | 18,718 | 2011-04-01 | 2011-08-31 | 30 | 152 |
| 100 | 463 | 8559a8aec31e7e03c53679c3b80fbdfb | 2,011 | 141 | 18,718 | 2011-04-01 | 2011-07-29 | 30 | 119 |
| 100 | 464 | 884b163649a981ca6a6bcd2d126eca57 | 2,011 | 260 | 18,640 | 2011-01-13 | 2011-05-19 | 31 | 126 |
| 100 | 464 | 884b163649a981ca6a6bcd2d126eca57 | 2,011 | 260 | 18,640 | 2011-01-13 | 2011-02-28 | 31 | 46 |
| 100 | 465 | 8bec919f56fab2888e59de8463c8430d | 2,011 | 151 | 18,120 | 2009-08-11 | 2011-05-30 | 57 | 657 |
| 100 | 465 | 8bec919f56fab2888e59de8463c8430d | 2,010 | 151 | 18,120 | 2009-08-11 | 2010-02-26 | 57 | 199 |
| 100 | 466 | 8fa752970cb75c40c449f044aff526be | 2,011 | 302 | 18,603 | 2010-12-07 | 2011-01-17 | 34 | 41 |
| 100 | 466 | 8fa752970cb75c40c449f044aff526be | 2,010 | 302 | 18,603 | 2010-12-07 | 2011-01-17 | 34 | 41 |
| 100 | 467 | 919580f6465c4302f5baa7881437327f | 2,011 | 148 | 18,758 | 2011-05-11 | 2012-02-21 | 49 | 286 |
| 100 | 467 | 919580f6465c4302f5baa7881437327f | 2,011 | 148 | 18,758 | 2011-05-11 | 2011-05-30 | 49 | 19 |
| 100 | 468 | 959fa309f34341c78fc3fbd09ead2a9f | 2,011 | 295 | 18,547 | 2010-10-12 | 2011-08-01 | 50 | 293 |
| 100 | 468 | 959fa309f34341c78fc3fbd09ead2a9f | 2,011 | 295 | 18,543 | 2010-10-08 | 2011-02-07 | 50 | 122 |
| 100 | 469 | 95af45e7ff163e4fb692c53d977aa6c4 | 2,011 | 157 | 18,616 | 2010-12-20 | 2011-09-29 | 52 | 283 |
| 100 | 469 | 95af45e7ff163e4fb692c53d977aa6c4 | 2,011 | 157 | 18,616 | 2010-12-20 | 2011-06-29 | 52 | 191 |
| 100 | 470 | 9602b1ca49dcc4162dd8e0f248726c62 | 2,011 | 234 | 18,568 | 2010-11-02 | 2011-05-27 | 36 | 206 |
| 100 | 470 | 9602b1ca49dcc4162dd8e0f248726c62 | 2,010 | 234 | 18,568 | 2010-11-02 | 2011-05-27 | 36 | 206 |
| 100 | 471 | a28380271daee4b853f01d371a3e1e3a | 2,011 | 218 | 18,707 | 2011-03-21 | 2011-06-07 | 54 | 78 |
| 100 | 471 | a28380271daee4b853f01d371a3e1e3a | 2,011 | 218 | 18,707 | 2011-03-21 | 2011-03-31 | 54 | 10 |
| 100 | 472 | a8b6f24ee02c5e91d5fccbaa98d81233 | 2,011 | 118 | 18,119 | 2009-08-10 | 2012-01-02 | 41 | 875 |
| 100 | 472 | a8b6f24ee02c5e91d5fccbaa98d81233 | 2,010 | 118 | 18,119 | 2009-08-10 | 2010-03-31 | 41 | 233 |
| 100 | 473 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2012-02-29 | 43 | 236 |
| 100 | 473 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2011-11-30 | 43 | 145 |
| 100 | 474 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2012-02-29 | 43 | 236 |
| 100 | 474 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2011-10-31 | 43 | 115 |
| 100 | 475 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2011-11-30 | 43 | 145 |
| 100 | 475 | aa182e72694793c5fa5f240874fdb365 | 2,011 | 109 | 18,816 | 2011-07-08 | 2011-10-31 | 43 | 115 |
| 100 | 476 | ab34d75a8c736ce82eaf6f9e70d37f7e | 2,011 | 109 | 17,861 | 2008-11-25 | 2011-02-28 | 34 | 825 |
| 100 | 476 | ab34d75a8c736ce82eaf6f9e70d37f7e | 2,010 | 109 | 17,861 | 2008-11-25 | 2011-01-31 | 34 | 797 |
| 100 | 477 | af62a87edc22a00d1fd79b52f3280c1c | 2,011 | 157 | 18,674 | 2011-02-16 | 2012-01-31 | 43 | 349 |
| 100 | 477 | af62a87edc22a00d1fd79b52f3280c1c | 2,011 | 157 | 18,674 | 2011-02-16 | 2011-06-01 | 43 | 105 |
| 100 | 478 | b55708195e3aec10337e12dbe80eebbc | 2,011 | 179 | 18,353 | 2010-04-01 | 2011-09-20 | 28 | 537 |
| 100 | 478 | b55708195e3aec10337e12dbe80eebbc | 2,010 | 179 | 18,350 | 2010-03-29 | 2010-06-20 | 28 | 83 |
| 100 | 479 | b594249ce21bff76a84a18524480341d | 2,011 | 122 | 18,729 | 2011-04-12 | 2011-07-01 | 53 | 80 |
| 100 | 479 | b594249ce21bff76a84a18524480341d | 2,011 | 122 | 18,729 | 2011-04-12 | 2011-05-02 | 53 | 20 |
| 100 | 480 | b71b69c9e559dd602046ab42a28d48fd | 2,011 | 106 | 18,204 | 2009-11-03 | 2011-06-16 | 32 | 590 |
| 100 | 480 | b71b69c9e559dd602046ab42a28d48fd | 2,010 | 106 | 18,204 | 2009-11-03 | 2010-11-24 | 32 | 386 |
| 100 | 481 | b85d1d417293db471d30e540716dfd2e | 2,011 | 109 | 17,924 | 2009-01-27 | 2011-01-31 | 45 | 734 |
| 100 | 481 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-12-31 | 45 | 703 |
| 100 | 482 | b85d1d417293db471d30e540716dfd2e | 2,011 | 109 | 17,924 | 2009-01-27 | 2011-01-31 | 45 | 734 |
| 100 | 482 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-08-31 | 45 | 581 |
| 100 | 483 | b85d1d417293db471d30e540716dfd2e | 2,011 | 109 | 17,924 | 2009-01-27 | 2011-01-31 | 45 | 734 |
| 100 | 483 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-04-01 | 45 | 429 |
| 100 | 484 | b98ea8f9b871252d368a968252ad6c11 | 2,011 | 157 | 18,667 | 2011-02-09 | 2011-09-01 | 53 | 204 |
| 100 | 484 | b98ea8f9b871252d368a968252ad6c11 | 2,011 | 157 | 18,667 | 2011-02-09 | 2011-05-31 | 53 | 111 |
| 100 | 485 | bdf003e416509a0ab01e43d312dbf87e | 2,011 | 109 | 17,581 | 2008-02-19 | 2011-04-29 | 52 | 1165 |
| 100 | 485 | bdf003e416509a0ab01e43d312dbf87e | 2,010 | 109 | 17,581 | 2008-02-19 | 2010-12-31 | 52 | 1046 |
| 100 | 486 | cf247a5c1807703db66d37ed274a8f83 | 2,011 | 123 | 18,142 | 2009-09-02 | 2011-03-16 | 36 | 560 |
| 100 | 486 | cf247a5c1807703db66d37ed274a8f83 | 2,010 | 123 | 18,142 | 2009-09-02 | 2010-03-29 | 36 | 208 |
| 100 | 487 | cf88aa6ddd36d11cdc884e949144908a | 2,011 | 109 | 18,571 | 2010-11-05 | 2011-11-30 | 36 | 390 |
| 100 | 487 | cf88aa6ddd36d11cdc884e949144908a | 2,011 | 109 | 18,571 | 2010-11-05 | 2011-07-29 | 36 | 266 |
| 100 | 488 | d46082a9bbcca5e05e9f44ccb7aa4e08 | 2,011 | 109 | 18,583 | 2010-11-17 | 2011-04-29 | 38 | 163 |
| 100 | 488 | d46082a9bbcca5e05e9f44ccb7aa4e08 | 2,011 | 109 | 18,583 | 2010-11-17 | 2011-02-28 | 38 | 103 |
| 100 | 489 | d46aba6eec7818d543668cebaa8019c8 | 2,011 | 216 | 18,647 | 2011-01-20 | 2011-05-01 | 39 | 101 |
| 100 | 489 | d46aba6eec7818d543668cebaa8019c8 | 2,011 | 216 | 18,647 | 2011-01-20 | 2011-01-20 | 39 | 0 |
| 100 | 490 | d4847c912b015dc285fe276e80c666bf | 2,011 | 238 | 18,427 | 2010-06-14 | 2011-02-25 | 44 | 256 |
| 100 | 490 | d4847c912b015dc285fe276e80c666bf | 2,010 | 238 | 18,427 | 2010-06-14 | 2010-07-29 | 44 | 45 |
| 100 | 491 | d4bbe6468ffaa45448fe3454424c2feb | 2,011 | 122 | 17,993 | 2009-04-06 | 2011-05-03 | 68 | 757 |
| 100 | 491 | d4bbe6468ffaa45448fe3454424c2feb | 2,010 | 122 | 17,993 | 2009-04-06 | 2010-12-31 | 68 | 634 |
| 100 | 492 | d82b5c21ac8cc920f0bcabcfcebfd411 | 2,011 | 106 | 18,352 | 2010-03-31 | 2011-03-01 | 29 | 335 |
| 100 | 492 | d82b5c21ac8cc920f0bcabcfcebfd411 | 2,010 | 106 | 18,352 | 2010-03-31 | 2010-08-19 | 29 | 141 |
| 100 | 493 | d86a046fce98a3451a075ef77b0207d9 | 2,011 | 108 | 18,578 | 2010-11-12 | 2011-01-31 | 33 | 80 |
| 100 | 493 | d86a046fce98a3451a075ef77b0207d9 | 2,010 | 108 | 18,578 | 2010-11-12 | 2011-01-26 | 33 | 75 |
| 100 | 494 | dafa4838a20d5380b2294fe27e911625 | 2,011 | 109 | 17,876 | 2008-12-10 | 2012-01-31 | 63 | 1147 |
| 100 | 494 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,878 | 2008-12-12 | 2010-10-31 | 63 | 688 |
| 100 | 495 | dafa4838a20d5380b2294fe27e911625 | 2,011 | 109 | 17,876 | 2008-12-10 | 2012-01-31 | 63 | 1147 |
| 100 | 495 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-09-30 | 63 | 659 |
| 100 | 496 | dafa4838a20d5380b2294fe27e911625 | 2,011 | 109 | 17,876 | 2008-12-10 | 2012-01-31 | 63 | 1147 |
| 100 | 496 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-07-31 | 63 | 598 |
| 100 | 497 | dbae85ce66f38abba296dda936737984 | 2,011 | 294 | 18,858 | 2011-08-19 | 2012-01-02 | 34 | 136 |
| 100 | 497 | dbae85ce66f38abba296dda936737984 | 2,011 | 294 | 18,858 | 2011-08-19 | 2011-09-26 | 34 | 38 |
| 100 | 498 | dbecebd95c5c26564b3c9b8d69ba4f9b | 2,011 | 109 | 18,578 | 2010-11-12 | 2011-02-28 | 47 | 108 |
| 100 | 498 | dbecebd95c5c26564b3c9b8d69ba4f9b | 2,010 | 109 | 18,578 | 2010-11-12 | 2010-11-30 | 47 | 18 |
| 100 | 499 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,011 | 122 | 17,996 | 2009-04-09 | 2012-02-29 | 49 | 1056 |
| 100 | 499 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,011 | 122 | 17,996 | 2009-04-09 | 2011-02-23 | 49 | 685 |
| 100 | 500 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,011 | 122 | 17,996 | 2009-04-09 | 2012-02-29 | 49 | 1056 |
| 100 | 500 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,010 | 122 | 17,996 | 2009-04-09 | 2010-12-31 | 49 | 631 |
| 100 | 501 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,011 | 122 | 17,996 | 2009-04-09 | 2011-02-23 | 49 | 685 |
| 100 | 501 | dc3b6d8e46b8f266f94f1932d7a2b1a8 | 2,010 | 122 | 17,996 | 2009-04-09 | 2010-12-31 | 49 | 631 |
| 100 | 502 | dec4d97a067b319eb63db812ecd81e1e | 2,011 | 120 | 18,407 | 2010-05-25 | 2011-06-30 | 41 | 401 |
| 100 | 502 | dec4d97a067b319eb63db812ecd81e1e | 2,010 | 120 | 18,407 | 2010-05-25 | 2010-07-02 | 41 | 38 |
| 100 | 503 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-06-29 | 54 | 365 |
| 100 | 503 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-01-31 | 54 | 216 |
| 100 | 504 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-06-29 | 54 | 365 |
| 100 | 504 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-11-30 | 54 | 154 |
| 100 | 505 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-06-29 | 54 | 365 |
| 100 | 505 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-09-30 | 54 | 93 |
| 100 | 506 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-01-31 | 54 | 216 |
| 100 | 506 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-11-30 | 54 | 154 |
| 100 | 507 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | 109 | 18,442 | 2010-06-29 | 2011-01-31 | 54 | 216 |
| 100 | 507 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-09-30 | 54 | 93 |
| 100 | 508 | e9bcf54d302f285b15fd25ca0e07505d | 2,011 | 138 | 18,395 | 2010-05-13 | 2011-04-01 | 42 | 323 |
| 100 | 508 | e9bcf54d302f285b15fd25ca0e07505d | 2,010 | 138 | 18,395 | 2010-05-13 | 2010-11-02 | 42 | 173 |
| 100 | 509 | eadd43df532b027c186d94b9891e7ee2 | 2,011 | 108 | 18,496 | 2010-08-22 | 2011-01-31 | 32 | 162 |
| 100 | 509 | eadd43df532b027c186d94b9891e7ee2 | 2,010 | 108 | 18,492 | 2010-08-18 | 2011-01-26 | 32 | 161 |
| 100 | 510 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-12-01 | 39 | 111 |
| 100 | 510 | f278cbef747d76860f2bf8e4f410b9d6 | 2,011 | 294 | 18,851 | 2011-08-12 | 2011-10-31 | 39 | 80 |
| 100 | 511 | f2ce3898de3228aa1ca915fd7acf3fe1 | 2,011 | 108 | 18,592 | 2010-11-26 | 2011-04-29 | 36 | 154 |
| 100 | 511 | f2ce3898de3228aa1ca915fd7acf3fe1 | 2,010 | 108 | 18,597 | 2010-12-01 | 2011-02-01 | 36 | 62 |
| 100 | 512 | f5a3766ccfbaa396dc2f683d231af716 | 2,011 | 294 | 18,793 | 2011-06-15 | 2011-09-30 | 37 | 107 |
| 100 | 512 | f5a3766ccfbaa396dc2f683d231af716 | 2,011 | 294 | 18,793 | 2011-06-15 | 2011-06-30 | 37 | 15 |
| 100 | 513 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2012-04-09 | 47 | 528 |
| 100 | 513 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2011-11-29 | 47 | 396 |
| 100 | 514 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2012-04-09 | 47 | 528 |
| 100 | 514 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2011-08-29 | 47 | 304 |
| 100 | 515 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2011-11-29 | 47 | 396 |
| 100 | 515 | f6baafce0aa37508e745262484011f2e | 2,011 | 294 | 18,564 | 2010-10-29 | 2011-08-29 | 47 | 304 |
| 100 | 516 | f7f7df7fd16a172d9d6f5a44b4c44599 | 2,011 | 123 | 18,471 | 2010-07-28 | 2012-01-27 | 41 | 548 |
| 100 | 516 | f7f7df7fd16a172d9d6f5a44b4c44599 | 2,010 | 123 | 18,471 | 2010-07-28 | 2010-10-04 | 41 | 68 |
| 100 | 517 | fa7757049cf45d9e0225243cfb92671b | 2,011 | 294 | 18,736 | 2011-04-19 | 2011-11-01 | 44 | 196 |
| 100 | 517 | fa7757049cf45d9e0225243cfb92671b | 2,011 | 294 | 18,736 | 2011-04-19 | 2011-08-29 | 44 | 132 |
| 100 | 518 | 004d1991cbc06fe1959d0d3a23fba572 | 2,010 | 123 | 17,870 | 2008-12-04 | 2010-11-18 | 44 | 714 |
| 100 | 518 | 004d1991cbc06fe1959d0d3a23fba572 | 2,010 | 123 | 17,870 | 2008-12-04 | 2010-11-18 | 44 | 714 |
| 100 | 519 | 09ed86ea373e87a5271ca94b1a380340 | 2,010 | 187 | 18,469 | 2010-07-26 | 2010-09-27 | 45 | 63 |
| 100 | 519 | 09ed86ea373e87a5271ca94b1a380340 | 2,010 | 187 | 18,469 | 2010-07-26 | 2010-08-26 | 45 | 31 |
| 100 | 520 | 1bfb0057be973e8f13c5e678761b69da | 2,010 | 109 | 18,316 | 2010-02-23 | 2011-06-09 | 54 | 471 |
| 100 | 520 | 1bfb0057be973e8f13c5e678761b69da | 2,010 | 109 | 18,316 | 2010-02-23 | 2010-11-30 | 54 | 280 |
| 100 | 521 | 20da5159a9482b4f2b91fdc7c486c6e7 | 2,010 | 182 | 18,233 | 2009-12-02 | 2010-04-09 | 58 | 128 |
| 100 | 521 | 20da5159a9482b4f2b91fdc7c486c6e7 | 2,010 | 182 | 18,232 | 2009-12-01 | 2010-04-09 | 58 | 129 |
| 100 | 522 | 22ad1c09805a1de614fe7be8b1d064b9 | 2,010 | 109 | 17,668 | 2008-05-16 | 2011-08-01 | 36 | 1172 |
| 100 | 522 | 22ad1c09805a1de614fe7be8b1d064b9 | 2,010 | 109 | 17,668 | 2008-05-16 | 2010-06-30 | 36 | 775 |
| 100 | 523 | 25c36b6820ac514094c458ba22918452 | 2,010 | 122 | 18,494 | 2010-08-20 | 2010-12-22 | 56 | 124 |
| 100 | 523 | 25c36b6820ac514094c458ba22918452 | 2,010 | 122 | 18,494 | 2010-08-20 | 2010-09-30 | 56 | 41 |
| 100 | 524 | 31f2e8fc18ed0247d63840c2247243d3 | 2,010 | 138 | 18,338 | 2010-03-17 | 2011-01-03 | 38 | 292 |
| 100 | 524 | 31f2e8fc18ed0247d63840c2247243d3 | 2,010 | 138 | 18,338 | 2010-03-17 | 2010-04-30 | 38 | 44 |
| 100 | 525 | 337e5a3f4c5c674aa3a608911284faa6 | 2,010 | 230 | 18,385 | 2010-05-03 | 2011-03-01 | 45 | 302 |
| 100 | 525 | 337e5a3f4c5c674aa3a608911284faa6 | 2,010 | 230 | 18,385 | 2010-05-03 | 2010-08-02 | 45 | 91 |
| 100 | 526 | 35e82c173a19a5112f974a19cc655e69 | 2,010 | 139 | 18,378 | 2010-04-26 | 2010-08-02 | 32 | 98 |
| 100 | 526 | 35e82c173a19a5112f974a19cc655e69 | 2,010 | 139 | 18,378 | 2010-04-26 | 2010-04-30 | 32 | 4 |
| 100 | 527 | 38dc632be1186c27bddc680dd0a3e092 | 2,010 | 182 | 18,275 | 2010-01-13 | 2010-03-24 | 37 | 70 |
| 100 | 527 | 38dc632be1186c27bddc680dd0a3e092 | 2,010 | 182 | 18,275 | 2010-01-13 | 2010-01-29 | 37 | 16 |
| 100 | 528 | 3a4fb7d97b5b42e7879a6091f2619fcc | 2,010 | 161 | 18,382 | 2010-04-30 | 2010-10-18 | 37 | 171 |
| 100 | 528 | 3a4fb7d97b5b42e7879a6091f2619fcc | 2,010 | 161 | 18,379 | 2010-04-27 | 2010-06-17 | 37 | 51 |
| 100 | 529 | 3bbea54bc0d42b2b68a9e092e8547fc1 | 2,010 | 122 | 18,193 | 2009-10-23 | 2010-12-31 | 38 | 434 |
| 100 | 529 | 3bbea54bc0d42b2b68a9e092e8547fc1 | 2,010 | 122 | 18,193 | 2009-10-23 | 2010-04-30 | 38 | 189 |
| 100 | 530 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2011-08-01 | 45 | 468 |
| 100 | 530 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2010-09-30 | 45 | 163 |
| 100 | 531 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2011-08-01 | 45 | 468 |
| 100 | 531 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2010-05-31 | 45 | 41 |
| 100 | 532 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2010-09-30 | 45 | 163 |
| 100 | 532 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | 109 | 18,372 | 2010-04-20 | 2010-05-31 | 45 | 41 |
| 100 | 533 | 45b7e1a39c3c328865affa1a97c21c01 | 2,010 | 295 | 18,497 | 2010-08-23 | 2010-11-24 | 36 | 93 |
| 100 | 533 | 45b7e1a39c3c328865affa1a97c21c01 | 2,010 | 295 | 18,497 | 2010-08-23 | 2010-09-01 | 36 | 9 |
| 100 | 534 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2011-06-06 | 57 | 532 |
| 100 | 534 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2010-08-31 | 57 | 253 |
| 100 | 535 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2011-06-06 | 57 | 532 |
| 100 | 535 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2010-01-29 | 57 | 39 |
| 100 | 536 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2010-08-31 | 57 | 253 |
| 100 | 536 | 4e0a7df87138f9e25715e4d0a264a3d3 | 2,010 | 109 | 18,252 | 2009-12-21 | 2010-01-29 | 57 | 39 |
| 100 | 537 | 5c67d04035132ac25e2b3448db2bd9fc | 2,010 | 109 | 17,479 | 2007-11-09 | 2011-07-28 | 52 | 1357 |
| 100 | 537 | 5c67d04035132ac25e2b3448db2bd9fc | 2,010 | 109 | 17,479 | 2007-11-09 | 2010-04-30 | 52 | 903 |
| 100 | 538 | 5d7da7eeb36045dc809c3fe3d6aea007 | 2,010 | 123 | 18,329 | 2010-03-08 | 2010-12-30 | 51 | 297 |
| 100 | 538 | 5d7da7eeb36045dc809c3fe3d6aea007 | 2,010 | 123 | 18,329 | 2010-03-08 | 2010-03-17 | 51 | 9 |
| 100 | 539 | 71b7c29d53f541b0639e042ec9a8f0b2 | 2,010 | 109 | 18,339 | 2010-03-18 | 2010-10-31 | 44 | 227 |
| 100 | 539 | 71b7c29d53f541b0639e042ec9a8f0b2 | 2,010 | 109 | 18,338 | 2010-03-17 | 2011-06-02 | 44 | 442 |
| 100 | 540 | 77b95857e1a0b6149eeb4f0f6cb26808 | 2,010 | 118 | 18,050 | 2009-06-02 | 2010-09-21 | 33 | 476 |
| 100 | 540 | 77b95857e1a0b6149eeb4f0f6cb26808 | 2,010 | 118 | 18,050 | 2009-06-02 | 2010-06-02 | 33 | 365 |
| 100 | 541 | 7b7c7a8a877c369884fa9745e40b6f3b | 2,010 | 187 | 18,562 | 2010-10-27 | 2010-11-10 | 41 | 14 |
| 100 | 541 | 7b7c7a8a877c369884fa9745e40b6f3b | 2,010 | 187 | 18,562 | 2010-10-27 | NA | 41 | NA |
| 100 | 542 | 9002c49f066947e090aac0c9fcb8d855 | 2,010 | 260 | 18,317 | 2010-02-24 | 2010-10-22 | 37 | 240 |
| 100 | 542 | 9002c49f066947e090aac0c9fcb8d855 | 2,010 | 260 | 18,317 | 2010-02-24 | 2010-03-01 | 37 | 5 |
| 100 | 543 | 91d2b53989232617a76554f9df52348c | 2,010 | 109 | 18,449 | 2010-07-06 | 2011-07-16 | 37 | 375 |
| 100 | 543 | 91d2b53989232617a76554f9df52348c | 2,010 | 109 | 18,444 | 2010-07-01 | NA | 37 | NA |
| 100 | 544 | 9c87de5821d412940eba6da6b9b25165 | 2,010 | 109 | 18,287 | 2010-01-25 | 2011-06-02 | 31 | 493 |
| 100 | 544 | 9c87de5821d412940eba6da6b9b25165 | 2,010 | 109 | 18,287 | 2010-01-25 | 2010-04-30 | 31 | 95 |
| 100 | 545 | 9e85181d37efbdb04556dce6eafabd7b | 2,010 | 275 | 18,217 | 2009-11-16 | 2010-06-01 | 46 | 197 |
| 100 | 545 | 9e85181d37efbdb04556dce6eafabd7b | 2,010 | 275 | 18,217 | 2009-11-16 | 2010-01-28 | 46 | 73 |
| 100 | 546 | b06b2da9431df684caf25dd55df4754a | 2,010 | 161 | 18,359 | 2010-04-07 | 2010-08-31 | 32 | 146 |
| 100 | 546 | b06b2da9431df684caf25dd55df4754a | 2,010 | 161 | 18,359 | 2010-04-07 | 2010-06-09 | 32 | 63 |
| 100 | 547 | b11e688af6a5048d956f1e8eb7e4802a | 2,010 | 122 | 17,804 | 2008-09-29 | 2010-12-15 | 43 | 807 |
| 100 | 547 | b11e688af6a5048d956f1e8eb7e4802a | 2,010 | 122 | 17,804 | 2008-09-29 | 2010-06-07 | 43 | 616 |
| 100 | 548 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-12-31 | 45 | 703 |
| 100 | 548 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-08-31 | 45 | 581 |
| 100 | 549 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-12-31 | 45 | 703 |
| 100 | 549 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-04-01 | 45 | 429 |
| 100 | 550 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-08-31 | 45 | 581 |
| 100 | 550 | b85d1d417293db471d30e540716dfd2e | 2,010 | 109 | 17,924 | 2009-01-27 | 2010-04-01 | 45 | 429 |
| 100 | 551 | c3cc781bf819af08da33d68761601486 | 2,010 | 109 | 18,470 | 2010-07-27 | 2011-06-09 | 50 | 317 |
| 100 | 551 | c3cc781bf819af08da33d68761601486 | 2,010 | 109 | 18,470 | 2010-07-27 | 2010-09-30 | 50 | 65 |
| 100 | 552 | ca5116b5e1232901c73ef8940409d335 | 2,010 | 295 | 18,266 | 2010-01-04 | 2011-02-07 | 33 | 399 |
| 100 | 552 | ca5116b5e1232901c73ef8940409d335 | 2,010 | 295 | 18,266 | 2010-01-04 | 2010-02-26 | 33 | 53 |
| 100 | 553 | d37251326bd3fe5c50b9877770ef38e3 | 2,010 | 123 | 18,168 | 2009-09-28 | 2010-09-06 | 44 | 343 |
| 100 | 553 | d37251326bd3fe5c50b9877770ef38e3 | 2,010 | 123 | 18,168 | 2009-09-28 | 2010-02-22 | 44 | 147 |
| 100 | 554 | d813d090a660d02768437e4542b8a36a | 2,010 | 270 | 18,206 | 2009-11-05 | 2010-11-25 | 39 | 385 |
| 100 | 554 | d813d090a660d02768437e4542b8a36a | 2,010 | 270 | 18,206 | 2009-11-05 | 2010-05-22 | 39 | 198 |
| 100 | 555 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,878 | 2008-12-12 | 2010-10-31 | 63 | 688 |
| 100 | 555 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-09-30 | 63 | 659 |
| 100 | 556 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,878 | 2008-12-12 | 2010-10-31 | 63 | 688 |
| 100 | 556 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-07-31 | 63 | 598 |
| 100 | 557 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-09-30 | 63 | 659 |
| 100 | 557 | dafa4838a20d5380b2294fe27e911625 | 2,010 | 109 | 17,876 | 2008-12-10 | 2010-07-31 | 63 | 598 |
| 100 | 558 | e0a3c199af480f26cbc0a3667826d474 | 2,010 | 182 | 18,330 | 2010-03-09 | 2010-04-16 | 40 | 38 |
| 100 | 558 | e0a3c199af480f26cbc0a3667826d474 | 2,010 | 182 | 18,330 | 2010-03-09 | 2010-04-16 | 40 | 38 |
| 100 | 559 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-11-30 | 54 | 154 |
| 100 | 559 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | 109 | 18,442 | 2010-06-29 | 2010-09-30 | 54 | 93 |
| 100 | 560 | ef0b5b424d9309e41493784cb95ff201 | 2,010 | 109 | 18,252 | 2009-12-21 | 2011-04-29 | 38 | 494 |
| 100 | 560 | ef0b5b424d9309e41493784cb95ff201 | 2,010 | 109 | 18,252 | 2009-12-21 | 2010-04-01 | 38 | 101 |
| 100 | 561 | ef3401c0d483214e2541d39f84e0aaca | 2,010 | 109 | 18,150 | 2009-09-10 | 2011-07-07 | 35 | 665 |
| 100 | 561 | ef3401c0d483214e2541d39f84e0aaca | 2,010 | 109 | 18,150 | 2009-09-10 | 2010-06-30 | 35 | 293 |
| 100 | 562 | f4cc9727a1a4e36f56672d9a4663b424 | 2,010 | 262 | 18,385 | 2010-05-03 | 2010-11-30 | 55 | 211 |
| 100 | 562 | f4cc9727a1a4e36f56672d9a4663b424 | 2,010 | 262 | 18,381 | 2010-04-29 | 2010-04-30 | 55 | 1 |
| 100 | 563 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2011-06-29 | 46 | 743 |
| 100 | 563 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2010-04-30 | 46 | 318 |
| 100 | 564 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2011-06-29 | 46 | 743 |
| 100 | 564 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2010-02-01 | 46 | 230 |
| 100 | 565 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2010-04-30 | 46 | 318 |
| 100 | 565 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | 109 | 18,064 | 2009-06-16 | 2010-02-01 | 46 | 230 |
An analysis of probabilistic matches between events by the requirements listed above showed us 1 case with a missing value in the date of admission, (correspondent to the HASH KEY “6c409c18bf7cc518819dc63c4e8e98ef”), 81 matches with a value of 90 points, and 484 matches with 100 points (86%).
#quantile(matches_hash_freq$n, .80)
#summary(matches_hash_freq)
#
#quantile(Duplicates_Matching_ene_2020$n, prob)
matches_from_stata_c1 %>% group_by(hash_key) %>% summarise(n=n()) %>% as.data.frame() %>%dplyr::select(n) %>%
ggplot(aes(n)) +
geom_histogram(alpha=.5)+
labs(y = "Freq.")+
scale_x_continuous(name="Repetitions", breaks=seq(2,12,1)) +
theme_classic()
Figure 5. Histogram of HASH Keys in matches (n=478)
As seen in Figure 5, around 93% of HASHs involved in matching appeared around 2 times (mainly due to the coincidence of HASH Keys). The remaining 7% repeated 4 times or more.
6.2 Examples of Matches and Main Causes that Produce Them
CONS_C1_df_dup_ENE_2020 %>%
dplyr::filter(row %in% c(149670,142875,8809,6864,151245,145140,160070,160066,135212,135017,85501,44753,41263,32299,12180,8809,14057,12517,14057
,8752, 8013, 13040,6202,8799,6334,5571,2319,5530,3865,71542,54760,66467,46349,66785,54953,90796,83766,67549,58436,54973,47284,73114,72579,51619,45002,61572,61353,52659,54383)) %>%
dplyr::arrange(factor(row, levels = c(149670,142875,8809,6864,12180,151245,145140,160070,160066,135212,135017,85501,44753,41263,32299,14057,12517,8752,8013,13040,6202,8799,6334,5571,2319,5530,3865,71542,54760,66467,46349,66785,54953,90796,83766,67549,58436,54973,47284,73114,72579,51619,45002,61572,61353,52659,54383))) %>%
dplyr::select(row,HASH_KEY, ano_bd, id_mod,Edad,Sexo,Nombre.Centro,ID.centro,fech_ing,fech_egres,dias_trat,motivodeegreso,tipo_de_programa,tipo_de_plan,SENDA) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
col.names= c("Row", "HASH_KEY", "Year of\nDataset", "ID","Year", "Sex", "Name of\nthe Center", "Center ID", "Date of\nAdmission", "Date of\n Discharge", "Treatment Days", "Cause of\nDischarge", "Type of\nProgram", "Type of\nplan", "SENDA\nProgram"),
caption="Table 15. Example of probabilistic matches", align =rep('c', 101)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| Row | HASH_KEY | Year of Dataset | ID | Year | Sex | Name of the Center | Center ID | Date of Admission | Date of Discharge | Treatment Days | Cause of Discharge | Type of Program | Type of plan | SENDA Program |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 149,670 | 976dc6ea364c0e2ba7decc74c634291d | 2,019 | JOCA1**071981 | 38 | Hombre | COSAM San Bernardo | 259 | 2018-10-03 | 2019-01-08 | 97 | Derivación | Programa Población General | PG-PAI | No |
| 142,875 | 976dc6ea364c0e2ba7decc74c634291d | 2,018 | JOCA1**071981 | 38 | Hombre | COSAM San Bernardo | 259 | 2018-10-03 | 2018-11-30 | 58 | Derivación | Programa Población General | PG-PAI | Si |
| 8,809 | dafa4838a20d5380b2294fe27e911625 | 2,010 | JOMA1**031956 | 63 | Hombre | COSAM Concepcion | 109 | 2008-12-12 | 2010-10-31 | 688 | Derivación | Programa Población General | PG-PAB | Si |
| 6,864 | dafa4838a20d5380b2294fe27e911625 | 2,010 | JOMA1**031956 | 63 | Hombre | COSAM Concepcion | 109 | 2008-12-10 | 2010-09-30 | 659 | Alta Admnistrativa | Programa Población General | PG-PAI | Si |
| 12,180 | dafa4838a20d5380b2294fe27e911625 | 2,011 | JOMA1**031956 | 63 | Hombre | COSAM Concepcion | 109 | 2008-12-10 | 2012-01-31 | 1,147 | Derivación | Programa Población General | PG-PAI | Si |
| 151,245 | 185607baea32aa787cb6471d1dac4dd1 | 2,019 | LEMO2**101983 | 36 | Mujer | Comunidad Terapeutica Ambulatoria Joven Atrevete | 191 | 2018-12-03 | NA | 345 | NA | Programa Población General | PG-PAI | Si |
| 145,140 | 185607baea32aa787cb6471d1dac4dd1 | 2,018 | LEMO2**101983 | 36 | Mujer | Comunidad Terapeutica Ambulatoria Joven Atrevete | 191 | 2018-12-03 | NA | 337 | NA | Programa Población General | PG-PAI | Si |
| 160,070 | 525345d2cfa31bb08e146ec8ffeca9ec | 2,019 | ALOL1**101981 | 38 | Hombre | Comunidad Terapeutica Renacer (Residencial) | 201 | 2019-07-29 | NA | 107 | NA | Programa Población General | PG-PR | Si |
| 160,066 | 525345d2cfa31bb08e146ec8ffeca9ec | 2,019 | ALOL1**101981 | 38 | Hombre | Comunidad Terapeutica Renacer (Residencial) | 201 | 2019-07-27 | 2019-07-28 | 1 | Abandono | Programa Población General | PG-PR | No |
| 135,212 | e1ecd86d864c123cedfa29842ac9541c | 2,018 | DAAS2**091996 | 23 | Mujer | Centro de Responsabilidad de Salud Mental del Complejo Asistencial Dr.Victor Rios Ruiz | 502 | 2018-03-21 | 2018-08-20 | 152 | Derivación | Programa Específico Mujeres | M-PAI | Si |
| 135,017 | e1ecd86d864c123cedfa29842ac9541c | 2,018 | DAAS2**091996 | 23 | Mujer | Centro de Responsabilidad de Salud Mental del Complejo Asistencial Dr.Victor Rios Ruiz | 502 | 2018-03-21 | 2018-03-26 | 5 | Derivación | Programa Específico Mujeres | M-PAI | No |
| 85,501 | dc64642e719cf9134ad7850686fa8864 | 2,016 | VAPR2**041981 | 38 | Mujer | Hospital de Tome, Centro Superarte | 122 | 2013-08-30 | 2016-05-02 | 976 | Derivación | Programa Específico Mujeres | M-PAI | Si |
| 44,753 | dc64642e719cf9134ad7850686fa8864 | 2,013 | VAPR2**041981 | 38 | Mujer | Hospital de Tome, Centro Superarte | 122 | 2013-08-30 | 2013-10-31 | 62 | Derivación | Programa Población General | PG-PAB | Si |
| 41,263 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | GAPE1**121980 | 38 | Hombre | COSAM Concepcion | 109 | 2011-04-25 | 2014-01-01 | 982 | Derivación | Programa Población General | PG-PAI | Si |
| 32,299 | ef0b5b424d9309e41493784cb95ff201 | 2,013 | GAPE1**121980 | 38 | Hombre | COSAM Concepcion | 109 | 2011-04-25 | 2013-04-01 | 707 | Alta Admnistrativa | Programa Población General | PG-PAI | Si |
| 14,057 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | JOSE1**121964 | 54 | Hombre | COSAM Concepcion | 109 | 2010-06-29 | 2011-06-29 | 365 | Alta Admnistrativa | Programa Población General | PG-PAI | Si |
| 12,517 | e1423bb1350fed5c7d6966cb494b8907 | 2,011 | JOSE1**121964 | 54 | Hombre | COSAM Concepcion | 109 | 2010-06-29 | 2011-01-31 | 216 | Derivación | Programa Población General | PG-PAB | Si |
| 8,752 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | JOSE1**121964 | 54 | Hombre | COSAM Concepcion | 109 | 2010-06-29 | 2010-11-30 | 154 | Derivación | Programa Población General | PG-PAI | Si |
| 8,013 | e1423bb1350fed5c7d6966cb494b8907 | 2,010 | JOSE1**121964 | 54 | Hombre | COSAM Concepcion | 109 | 2010-06-29 | 2010-09-30 | 93 | Alta Admnistrativa | Programa Población General | PG-PAB | Si |
| 13,040 | e9bcf54d302f285b15fd25ca0e07505d | 2,011 | ALNU1**051977 | 42 | Hombre | COSAM Schneider (CSMC Schneider-CESAMCO) | 138 | 2010-05-13 | 2011-04-01 | 323 | Alta Terapéutica | Programa Población General | PG-PR | No |
| 6,202 | e9bcf54d302f285b15fd25ca0e07505d | 2,010 | ALNU1**051977 | 42 | Hombre | COSAM Schneider (CSMC Schneider-CESAMCO) | 138 | 2010-05-13 | 2010-11-02 | 173 | Abandono | Programa Población General | PG-PAI | Si |
| 8,799 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | ALNE1**101974 | 45 | Hombre | COSAM Concepcion | 109 | 2010-04-20 | 2011-08-01 | 468 | Derivación | Programa Población General | PG-PAB | Si |
| 6,334 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | ALNE1**101974 | 45 | Hombre | COSAM Concepcion | 109 | 2010-04-20 | 2010-09-30 | 163 | Alta Admnistrativa | Programa Población General | PG-PAI | Si |
| 5,571 | 4234b7df0378b7ad1b21fe8b1c4d40b5 | 2,010 | ALNE1**101974 | 45 | Hombre | COSAM Concepcion | 109 | 2010-04-20 | 2010-05-31 | 41 | Derivación | Programa Población General | PG-PAB | Si |
| 2,319 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | PAGA2**121972 | 46 | Mujer | COSAM Concepcion | 109 | 2009-06-16 | 2010-02-01 | 230 | Derivación | Programa Población General | PG-PAI | Si |
| 5,530 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | PAGA2**121972 | 46 | Mujer | COSAM Concepcion | 109 | 2009-06-16 | 2011-06-29 | 743 | Alta Admnistrativa | Programa Población General | PG-PAI | Si |
| 3,865 | fe6d5cf1a3bfb5ece8d52cd1b6b9c0a1 | 2,010 | PAGA2**121972 | 46 | Mujer | COSAM Concepcion | 109 | 2009-06-16 | 2010-04-30 | 318 | Derivación | Programa Población General | PG-PAB | Si |
| 71,542 | 6f7b6e9d16e34de12f8653909c0a0a03 | 2,015 | BACA1**011979 | 40 | Hombre | Centro Tratamiento Adicciones Unidos, Hospital Santa Cruz | 591 | 2014-02-05 | 2015-04-28 | 447 | Alta Terapéutica | Programa Población General | PG-PAI | Si |
| 54,760 | 6f7b6e9d16e34de12f8653909c0a0a03 | 2,014 | BACA1**011979 | 40 | Hombre | Centro de Tratamiento adicciones Esperanza, Hospital Santa Cruz | 221 | 2014-02-05 | 2015-01-28 | 357 | Alta Terapéutica | Programa Población General | PG-PAI | Si |
| 66,467 | 721bc3745874465f0999251d780a23ff | 2,015 | CLCA2**051976 | 43 | Mujer | Centro de Responsabilidad de Salud Mental del Complejo Asistencial Dr.Victor Rios Ruiz | 502 | 2013-10-21 | 2015-01-30 | 466 | Derivación | Programa Población General | PG-PAI | Si |
| 46,349 | 721bc3745874465f0999251d780a23ff | 2,013 | CLCA2**051976 | 43 | Mujer | COSAM Newen | 123 | 2013-10-24 | 2014-01-29 | 97 | Derivación | Programa Población General | PG-PAI | Si |
| 66,785 | 3128223a53c6fd5073cc754afacf3082 | 2,015 | CLTO2**101979 | 40 | Mujer | Comunidad Terapeutica Puerta Abierta (Mujeres) | 234 | 2014-02-22 | 2015-03-06 | 377 | Alta Terapéutica | Programa Específico Mujeres | M-PR | Si |
| 54,953 | 3128223a53c6fd5073cc754afacf3082 | 2,014 | CLTO2**101979 | 40 | Mujer | CT Puerta Abierta (Estacion Central) | 488 | 2014-02-22 | 2014-02-28 | 6 | Derivación | Programa Específico Mujeres | M-PR | Si |
| 90,796 | 0420d8b5c6e37ec61fac25b8e7420098 | 2,016 | LUCA1**051994 | 25 | Hombre | Comunidad Terapeutica Hogar Crea, Talca | 215 | 2015-11-19 | 2016-03-02 | 104 | Derivación | Programa Población General | PG-PR | Si |
| 83,766 | 0420d8b5c6e37ec61fac25b8e7420098 | 2,015 | LUCA1**051994 | 25 | Hombre | Hospital Regional de Talca | 205 | 2015-11-17 | 2015-11-19 | 2 | Derivación | Programa Población General | PG-PAI | Si |
| 67,549 | b2c468656911cf9b07bf48e53b7b7d98 | 2,015 | MEGU2**121979 | 39 | Mujer | COSAM Melipilla | 291 | 2014-06-02 | 2015-02-11 | 254 | Alta Terapéutica | Programa Población General | PG-PAI | Si |
| 58,436 | b2c468656911cf9b07bf48e53b7b7d98 | 2,014 | MEGU2**121979 | 39 | Mujer | Comunidad de Mujeres Antumalen (ex- Aukan) | 432 | 2014-06-04 | 2014-06-23 | 19 | Abandono | Programa Específico Mujeres | M-PR | Si |
| 54,973 | 1f1695fa0918bcb6635f1d179bb9baee | 2,014 | MIOY1**031990 | 29 | Hombre | Centro de Responsabilidad de Salud Mental del Complejo Asistencial Dr.Victor Rios Ruiz | 502 | 2013-12-12 | 2015-01-29 | 413 | Abandono | Programa Población General | PG-PAB | Si |
| 47,284 | 1f1695fa0918bcb6635f1d179bb9baee | 2,013 | MIOY1**031990 | 29 | Hombre | COSAM Alenmoguen | 328 | 2013-12-10 | 2014-01-29 | 50 | Derivación | Programa Población General | PG-PAB | Si |
| 73,114 | 27fc4f766852f125b1206a32768ec0c9 | 2,015 | MOVA1**041983 | 36 | Hombre | Comunidad Terapeutica Renacer (Residencial) | 201 | 2015-02-16 | 2015-03-25 | 37 | Derivación | Programa Población General | PG-PR | Si |
| 72,579 | 27fc4f766852f125b1206a32768ec0c9 | 2,015 | MOVA1**041983 | 36 | Hombre | COSAM Colina | 141 | 2015-02-11 | 2015-02-19 | 8 | Derivación | Programa Población General | PG-PAI | Si |
| 51,619 | 9e7148b53d0554a5eaae07093e20b7c6 | 2,014 | PAHE1**111981 | 37 | Hombre | Comunidad Terapeutica Residencial para Hombres O.N.G. Plenitud (C.T. Plenitud) | 271 | 2013-10-11 | 2014-01-12 | 93 | Abandono | Programa Población General | PG-PR | Si |
| 45,002 | 9e7148b53d0554a5eaae07093e20b7c6 | 2,013 | PAHE1**111981 | 37 | Hombre | CESFAM Paine | 434 | 2013-10-14 | 2013-10-14 | 0 | Alta Admnistrativa | Programa Población General | PG-PAB | Si |
| 61,572 | 0d8e8fbed25c1091a9774a541928df4f | 2,014 | ROMA1**011979 | 40 | Hombre | CESFAM Esmeralda | 474 | 2014-08-07 | 2014-11-05 | 90 | Derivación | Otro | PG-PR | No |
| 61,353 | 0d8e8fbed25c1091a9774a541928df4f | 2,014 | ROMA1**011979 | 40 | Hombre | COSAM Colina | 141 | 2014-08-08 | 2014-09-30 | 53 | Abandono | Programa Población General | PG-PAI | Si |
| 52,659 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | 2,014 | YAPO2**121989 | 29 | Mujer | Comunidad Terapeutica Puerta Abierta (Mujeres) | 234 | 2013-12-13 | 2014-01-31 | 49 | Derivación | Programa Específico Mujeres | M-PR | Si |
| 54,383 | 4869357c9d0a2fc7eb4ace9bdcd7a0b9 | 2,014 | YAPO2**121989 | 29 | Mujer | CT Puerta Abierta (Estacion Central) | 488 | 2013-12-13 | 2014-01-31 | 49 | Derivación | Programa Específico Mujeres | M-PR | No |
In Table 15, there is a selection of probabilistic matches that have elements that are worthy of discussion. Most of them have much information in common, describing referrals to another center or parallel treatments, and others do not overlap but were matched due to the span of +/-5 days as caliper in the date of admission. However, some characteristics change and are different between them. This process requires caution to prevent automatically deleting one row and removing information that might be useful.
- The SENDA ID JOCA1**071981 shares the same date of admission and center ID. One of the cases is not part of the SENDA Program. The type of plan differs between them.
- JOMA1**031956 has three entries with dates of admission and in the same center on approximately the same dates (one of the registries have a difference of two days of 2 days in the admission). First, this user had an administrative discharge, and then a referral. Finally, the last entry came from the 2011 dataset and indicated a referral to another center in 2012. The type of plan differs between them.
- LEMO2**101983 shares the same dates of admission and center, but different types of plan. One comes from the 2018 dataset, while the other comes from the 2019 dataset. Both do not have a date of discharge nor a cause of discharge. Possibly, these treatments are the same, and still in progression.
- ALOL1**101981 was one day in a treatment on 2019-07-27 (Hereafter, in “Year month and day” format) that ended because of a drop-out one day later and was not a program of SENDA. Then he registered another treatment in the same center and possibly did not leave it until the day the dataset was retrieved .
- The case of DAAS2**091996 is different: both treatments share the same date of admission and center, but first was admitted in treatment for 5 days in the same center, and then ended due to a referral, leading to the next treatment. However the first treatment did not constitute a SENDA program.
- VAPR2**041981 has two programs with the same date of admission in the same center: one comes from the 2016 dataset, the other from the 2013 dataset. Both programs figure as SENDA programs, but the first was a general-population plan, and the second was a women-specific program.
- GAPE1**121980 registries were obtained from the same yearly dataset and share the same date of admission and center, but not the date of discharge. One ended in April 2013 due to an administrative discharge, while the second ended in 2014 due to a referral. SENDA finances both.
- JOSE1**121964 has 2 registries from the 2011 dataset that share the same date of admission and center. However, one ended in January due to a referral, while the other ended in June due to an administrative discharge. Both had different plans, and SENDA financed both.
- ALNU1**051977 has two registries that share the same date of admission but not the same date of discharge. The first came from the 2010 dataset, ended in November 2011 due to a drop-out, and SENDA financed it. The second came from the 2011 dataset and ended due to an administrative discharge in April 2011, but SENDA did not finance it. Also, they do not share the same treatment plan.
- ALNE1**101974 registries were obtained from the same yearly dataset and share the date of admission and center but not the plan and the date of discharge. The first was a basic plan that ended in May 2010 due to a referral. The second was an intensive-treatment plan that ended in September 2010 due to an administrative discharge. The third was a basic plan that ended in August 2011 due to a drop-out. SENDA financed all three.
- PAGA2**121972 registries were obtained from the 2010 dataset, sharing the same date of admission but not the same date of discharge or type of plan. The first was a basic plan that ended in February 2010 due to a referral. The second was an intensive-treatment plan that ended in April 2010 due to a referral. Finally, the third was an intensive-treatment plan that ended in 2011 due to an administrative discharge. SENDA financed them all.
- BACA1**011979 share the same date of admission, but have different centers and dates of discharge. The first treatment came from the 2014 dataset and ended in January 2015 due to an administrative discharge. The second came from the 2015 dataset and ended in April 2015 due to an administrative discharge. SENDA financed them all.
- CLCA2**051976 has a difference of three days in the date of admission of two treatments in different centers. The first came from the 2013 dataset and ended in January 2014 due to a referral. The second came from the 2015 dataset and ended in January 2015 due to a referral. SENDA financed both treatments.
- The SENDA ID CLTO2**101979 shares the same date of admission. The first came from the 2014 dataset and ended in February of 2014 due to a referral to another center. The second came from the 2015 dataset and ended due to a therapeutic discharge in March 2015. SENDA financed both treatments.
- LUCA1**051994 has two days of difference in the date of admission and followed a clear transition between treatments. Also, they have different plans, center, yearly dataset, and date of discharge. The first treatment appeared in the 2015 dataset, followed by an intensive-treatment plan, started on 2015-11-17, and ended two days later due to a referral. The second treatment was a residential plan, coming from the 2015 dataset, started from 2015-11-19, and ended in March 2016 due to a referral. SENDA financed both treatments.
- MEGU2**121979 shows a difference of two days in the date of admission of their treatments, but different dates of discharge and treatment plans. The first treatment was a women-specific residential plan that came from 2014 and ended in June 2014 due to a drop-out. The second was a general population program with intensive-treatment came from the 2015 dataset and ended in February 2015 due to a therapeutic discharge. SENDA financed both treatments.
- MIOY1**031990 has a difference of only two days in the date of admission in their treatments, but the centers are different, as well as the date of discharge. The first came from the 2013 dataset and ended in January 2014 due to a referral. The second treatment came from the 2014 dataset and ended in January 2015 due to a drop-out. SENDA financed both treatments.
- MOVA1**041983 registries were obtained from the same yearly dataset, but there is a difference of five days between the different dates of admission, resulting in an overlapping of three days. Also, they have different treatment plans and center. The first treatment was an intensive-treatment plan and ended on 2014-02-19 due to a referral, while the second was a residential plan treatment that started in 2015-02-16 and ended in March 2015 due to a referral. SENDA financed both treatments.
- PAHE1**111981 has three days of difference in the date of admission. Also, they have different plans and center. The first treatment appeared in the 2013 dataset, starting in 2013-10-14, and ending on the same date due to an administrative discharge. The second treatment came from the 2014 dataset, started from 2013-10-11, and ending in January 2014 due to a drop-out. SENDA financed both treatments.
- ROMA1**011979 registries came from the same yearly dataset, but their dates of admission differ by one day, and the centers and dates of discharge are different. The first treatment came from a general population program with an intensive-treatment plan and ended in September 2014 due to a drop-out. The second treatment corresponded to another program, a residential plan, and ended in November 2014 due to a referral. SENDA did not finance this treatment.
- YAPO2**121989 registries were obtained from the same yearly dataset and share the same date of admission and date of discharge, but not the same center. Additionally, the center “CT Puerta Abierta (Estacion Central)” is not financed by SENDA.
6.3 Overlappings
An analysis of duplicated events showed that many ranges between the dates of admission and discharge were overlapping due to referrals to other centers, principally by changes in the treatment center. The following are the most repeated among cases: Centro Tratamiento Adicciones Unidos, Hospital Santa Cruz; and Centro de Tratamiento Adicciones Esperanza, Hospital Santa Cruz. In other words, many users may move from centers 221 to 591, 147 to 358, 164 to 325, or 200 to 203. However, to identify overlappings in treatments, it is necessary to obtain the missing dates and clean the dates that may be incorrectly noted.
CONS_C1_df_dup_intervals<- CONS_C1_df_dup_ENE_2020 %>%
dplyr::mutate(fech_ing_num2=as.numeric(as.Date(fech_ing))) %>%
dplyr::mutate(fech_egres_num2=as.numeric(as.Date(fech_egres))) %>%
dplyr::rename("HASH_KEY_2"="HASH_KEY", "row2"="row") %>%
dplyr::select(row2,HASH_KEY_2, id_mod, ano_bd,fech_ing, fech_ing_num2,fech_egres,fech_egres_num2,Edad, Nombre.Centro, motivodeegreso, SENDA) %>%
dplyr::filter(motivodeegreso!="Derivación") %>%
data.table::as.data.table()
require(sqldf)
require(gridExtra)
overlap_dates_C1 <- janitor::clean_names(sqldf("SELECT *
FROM CONS_C1_df_dup_intervals AS x
INNER JOIN CONS_C1_df_dup_intervals AS y
ON x.HASH_KEY_2 == y.HASH_KEY_2 AND
x.fech_ing_num2 < y.fech_egres_num2 AND x.fech_egres_num2 > y.fech_ing_num2 AND x.row2 != y.row2"))
#busca mismo hash, distinto row,pero fecha de ingreso menor o igual a la fecha de egreso del otro, y fecha de egreso mayor o igual a la fecha de ingreso del otro. ESTO ES PARA VER SI SE SUPERPONEN.
as.data.table(overlap_dates_C1) %>%
dplyr::arrange(hash_key_2, fech_ing_num2, row2) %>% ggplot(.) +
geom_segment(aes(x = fech_ing, xend = fech_egres,
y = hash_key_2, yend = hash_key_2)) +
scale_x_datetime(breaks=scales::date_breaks("1 year"),
limits = as.POSIXct(c('2000-01-01 09:00:00','2020-01-01 09:00:00')),
labels = scales::date_format("%m/%y")) +
theme(axis.line=element_blank(),
axis.text.y=element_blank(),axis.ticks=element_blank(),
axis.title.x=element_text(""),legend.position="none",
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),plot.background=element_blank()) +
theme(plot.caption = element_text(hjust = 0, face= "italic")) +
labs(x = "Dates of admission and discharge", y = "", caption="Note. Only users that share characteristics and overlap between them")
Figure 6.1 Trajectories of HASHs from dates of admission to discharge
Figure 6.1 shows 1062 record pairs that share the same HASH Key, but the date of admission is less than the date of discharge of another entry in the dataset, and the date of discharge is greater than the date of admission of that other case. It does not include derivation as a cause of the discharge. These conditions let us see how many cases overlap with another entry in the dataset. This graphic may seem a bit noisy because it covers all the overlapped cases, but we should look less at the black colored regions and more at the white areas between the lines to get an idea of the years that accumulate more overlappings.
c26 <- c(
"dodgerblue2", "#E31A1C", # red
"green4",
"#6A3D9A", # purple
"#FF7F00", # orange
"gray16", "gold1",
"skyblue2", "#FB9A99", # lt pink
"palegreen2",
"#CAB2D6", # lt purple
"#FDBF6F", # lt orange
"gray70", "khaki2",
"maroon", "orchid1", "deeppink1", "blue1", "steelblue4",
"darkturquoise", "green1", "yellow4", "yellow3",
"darkorange4", "brown", "gray40")
set.seed(667)
random<-round(runif(1, 1, 26),0)
sample_plot <- overlap_dates_C1 %>%
dplyr::arrange(hash_key_2, fech_ing_num2, row2) %>%
dplyr::slice(random:(random+26)) %>%
mutate(Date = format(as.Date(fech_ing, format = "%Y-%m-%d"))) %>%
ggplot(aes()) +
geom_segment(aes(x = fech_ing, xend = fech_egres,
y = hash_key_2, yend = hash_key_2,colour=as.factor(row2),size=1/100)) +
scale_x_datetime(breaks=scales::date_breaks("1 year"),
limits = as.POSIXct(c('2014-01-01 09:00:00','2020-01-01 09:00:00')),
labels = scales::date_format("%m/%y")) +
theme(axis.line=element_blank(),axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_text(""),legend.position="none",axis.title.y=element_text("HASHs"),
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),plot.background=element_blank()) +
#scale_x_date(breaks = scales::date_breaks("1 year"), date_labels = "%b %d") +
theme(plot.caption = element_text(hjust = 0, face= "italic")) +
scale_color_manual(values=c26) +
labs(x = "Dates of admission and discharge", y = "", caption="Note. Only users that share characteristics overlap between them",
subtitle="Random sample of 25 cases. Colored lines represent different rows in the dataset, but same HASH")+
ggtitle("Figure 6.2 Trajectories of every HASH from dates of admission to discharge")
#+
#geom_text(vjust = -0.5, hjust=0, size = 1,
# aes(x = start_date, y = membershipID,
# label = paste(round(mo_dur, 2), "months")))
clean_plot <- CONS_C1_df_dup_ENE_2020 %>%
dplyr::mutate(fech_ing_num2=as.numeric(as.Date(fech_ing))) %>%
dplyr::mutate(fech_egres_num2=as.numeric(as.Date(fech_egres))) %>%
dplyr::mutate(HASH_KEY_2=HASH_KEY) %>%
dplyr::select(row,HASH_KEY_2, id_mod, ano_bd,fech_ing, fech_ing_num2,fech_egres,fech_egres_num2,Edad, Nombre.Centro, motivodeegreso, SENDA)%>% as.data.table() %>%
dplyr::filter(HASH_KEY_2 %in% c("07b0d5b1e32b62374685e48039ae6a67", "0b810dfb7988e5e795b03a9cadc771fe", "0c3aa4566acbeb996e4bf645c7210f83", "01a95b45fa9acf445fe1a7106f2f6664")) %>%
dplyr::arrange(HASH_KEY_2, fech_ing_num2, row) %>%
#mutate(Date = format(as.Date(fech_ing, format = "%Y-%m-%d"))) %>%
ggplot(aes()) +
geom_segment(aes(x = as.POSIXct(as.Date(fech_ing_num2)), xend = as.POSIXct(as.Date(fech_egres_num2)),
y = HASH_KEY_2, yend = HASH_KEY_2,colour=as.factor(row),size=1/100)) +
scale_x_datetime(breaks=scales::date_breaks("1 year"),
limits = as.POSIXct(c('2014-01-01 09:00:00','2020-01-01 09:00:00')),
labels = scales::date_format("%m/%y")) +
theme(axis.line=element_blank(),
axis.ticks=element_blank(),axis.title.y=element_text("HASHs"),axis.text.y=element_blank(),
axis.title.x=element_text(""),legend.position="none",
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),plot.background=element_blank(), plot.title = element_text(hjust = 0))+
#scale_x_date(breaks = scales::date_breaks("1 year"), date_labels = "%b %d") +
theme(plot.caption = element_text(face= "italic",hjust = 0)) +
labs(x = "Dates of admission and discharge", y="HASHs",
subtitle="Example of 4 clean trajectories. Colored lines represent different rows in the dataset, but same HASH")+
ggtitle("Figure 6.3 Trajectories of every HASH from dates of admission to discharge")
grid.arrange(sample_plot, clean_plot)
In Figure 6.2, we selected 25 randomly assigned cases with overlapped treatments. We may appreciate that horizontal lines (users) had overlapped colors (treatments) over time. In contrast, Figure 6.3 shows four examples of clear trajectories that do not have overlaps over time and are separated by a white gap.
6.4 Missing Dates of Discharge
As can be seen in the examples of matches (Table 15), some discharge dates were NULL values, misleading the count of treatment days. Treatment days seem to be calculated as the difference between the date of retrieval of datasets and the date of admission to treatment. This is one of the reasons why this variable may confound the analysis of duplicated data. However, we needed to identify the intervals in which cases were overlapping by getting the days of treatment and determining whether a specific HASH may already have finished a treatment or not.
CONS_C1_df_dup_ENE_2020 %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::mutate(fech_ing_num=as.numeric(as.Date(fech_ing)), dias_trat_trans= as.numeric(as.Date("2019-11-13"))-fech_ing_num,
diff_treat_days=dias_trat-dias_trat_trans) %>% #fecha del día de hoy
dplyr::select(HASH_KEY, id_mod, ano_bd, sexo, fech_ing, fech_ing_num, dias_trat_trans,dias_trat,diff_treat_days) %>%
dplyr::group_by(diff_treat_days, ano_bd) %>%
dplyr::summarize(n=n()) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 16. Missing Date of Discharge, Difference between Treatment Dates", col.names= c("Treat Days", "Year of Dataset", "N"), align =rep('c', 3)) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
kableExtra::add_footnote(c("Note= Treat Days= Difference between the treatment days reported by SENDA, and a calculated one, product of the difference between the date of retrieval, 2019-11-13, and the date of admission to treatment"), notation = "none")`summarise()` regrouping output by 'diff_treat_days' (override with `.groups`
argument)| Treat Days | Year of Dataset | N |
|---|---|---|
| -8 | 2,010 | 9 |
| -8 | 2,011 | 66 |
| -8 | 2,012 | 11 |
| -8 | 2,013 | 23 |
| -8 | 2,014 | 16 |
| -8 | 2,015 | 25 |
| -8 | 2,016 | 56 |
| -8 | 2,017 | 61 |
| -8 | 2,018 | 125 |
| 0 | 2,019 | 7,746 |
| NA | 2,010 | 10 |
| NA | 2,011 | 7 |
| Note= Treat Days= Difference between the treatment days reported by SENDA, and a calculated one, product of the difference between the date of retrieval, 2019-11-13, and the date of admission to treatment |
#ABRIL 2020, subió un poco, de 272 a 324-
n_casos<-CONS_C1_df_dup_ENE_2020 %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::mutate(fech_ing_num=as.numeric(as.Date(fech_ing)), dias_trat_trans= as.numeric(as.Date("2019-11-13"))-fech_ing_num,
diff_treat_days=dias_trat-dias_trat_trans) %>% #fecha del día de hoy
dplyr::select(HASH_KEY, id_mod, ano_bd, sexo, fech_ing, fech_ing_num, dias_trat_trans,dias_trat,diff_treat_days) %>%
dplyr::group_by(diff_treat_days, ano_bd) %>%
dplyr::summarize(n=n()) %>% dplyr::filter(!ano_bd %in% c(2018,2019)) %>% ungroup()%>% summarise(sum=sum(n))`summarise()` regrouping output by 'diff_treat_days' (override with `.groups`
argument)#number of hash and date of admission.
# HASHs_w_o_date_discharge %>%
# dplyr::mutate(HASH_fecha_ingreso=paste0(HASH_KEY,"_",fech_ing_num)) %>%
# dplyr::left_join(combinacion_reemplazada,by="HASH_fecha_ingreso") %>%
# dplyr::mutate(ano_bd.x=as.numeric(ano_bd.x)) %>%
# dplyr::filter(is.na(HASH_KEY.y),ano_bd.x<=2017) %>%
# dplyr::mutate(fech_ingres=as.Date(fech_ing_num)) %>%
# dplyr::select(c(1,2,14)) %>%
# dplyr::rename("HASH"=HASH_KEY.x,"Ano_Base_Datos" =ano_bd.x, "Fecha_Ingreso"=fech_ingres) #%>% nrow()Table 16 shows the entries with missing dates of discharge, the difference between the date of retrieval (second week of November of 2019) and the days of treatment, by each yearly dataset obtained. NULL values represent cases in which the number of treatment days was not available. These were produced by negative treatment days. Datasets from 2010 to 2018 would have been retrieved 8 days earlier than the dataset of 2019 (n= 17). SENDAs professionals believed that treatments should not last more than 1095 days. That is why we think that cases in 2018 and 2019 datasets may still be in treatment until the date of retrieval (leaving an approximate of HASHs and date of admissions left to analyze). We asked SENDA professionals about the cases that are still being treated and came from older datasets. Meanwhile, we looked over those cases with the same dates of admission and HASH that had a recent date of discharge that could replace the missing value.
HASHs_w_o_date_discharge<- CONS_C1_df_dup_ENE_2020 %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::mutate(fech_ing_num=as.numeric(as.Date(fech_ing)), dias_trat_trans= as.numeric(as.Date("2019-11-13"))-fech_ing_num,
diff_treat_days=dias_trat-dias_trat_trans,fech_egres_num=as.numeric(as.Date(fech_egres))) %>% #fecha del día de hoy
dplyr::select(row, HASH_KEY, id_mod, ano_bd, sexo, fech_ing, fech_ing_num, fech_egres_num, dias_trat_trans,dias_trat,diff_treat_days) %>%
dplyr::select(HASH_KEY, ano_bd, fech_ing_num) %>%
dplyr::distinct(HASH_KEY,fech_ing_num)# %>% dim() 8142
CONS_C1_df_egres2<- CONS_C1_df_dup_ENE_2020 %>%
dplyr::mutate(fech_ing_num2=as.numeric(as.Date(fech_ing))) %>%
dplyr::mutate(fech_egres_num2=as.numeric(as.Date(fech_egres))) %>%
dplyr::mutate(HASH_KEY_2=HASH_KEY) %>%
dplyr::filter(!is.na(fech_egres)) %>%
dplyr::select(row,HASH_KEY_2, id_mod, ano_bd,fech_ing, fech_ing_num2,fech_egres,fech_egres_num2,Edad, Nombre.Centro, motivodeegreso) %>%
data.table::as.data.table()
require(data.table) #v>=1.9.8
#54 cases of C1 that do not have dates of discharge, that can be replaced with cases in C1 that have available dates of discharge but with a date of admission equal or greater than the not available.
CONS_C1_df_egres2[HASHs_w_o_date_discharge, on = .(HASH_KEY_2=HASH_KEY,fech_ing_num2 >= fech_ing_num), nomatch = 0,
.(row,HASH_KEY,id_mod, ano_bd,fech_ing, fech_egres,Edad,Nombre.Centro,motivodeegreso)] %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 17. Cases with the same HASH and date of admission, that had a more recent date of discharge", align =rep('c', 101),
col.names= c("Row No.","Hash Key", "SENDAs ID (Mod)", "Year of\n Dataset", "Date of\nAdmission","Date of\nDischarge","Age","Center Name", "Cause of Discharge")) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 9) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| Row No. | Hash Key | SENDAs ID (Mod) | Year of Dataset | Date of Admission | Date of Discharge | Age | Center Name | Cause of Discharge |
|---|---|---|---|---|---|---|---|---|
| 156,785 | a92ab8f10fa05d0d9dcb5855c0ec0092 | RITR1**111984 | 2,019 | 2019-05-13 | 2019-05-22 | 35 | COSAM Melipilla | Abandono |
| 147,356 | ecde0c8a8477604ba6402ca715e42756 | JULO1**061953 | 2,019 | 2018-05-02 | 2019-10-31 | 66 | Comunidad Terapeutica Ambulatoria Joven Atrevete | Derivación |
| 112,951 | 144b8d70d7ea1b9ea70d2ef7543520b2 | OSBE1**061978 | 2,017 | 2017-01-31 | 2017-10-30 | 41 | CEADT | Alta Terapéutica |
| 112,950 | 1baff032eb17af74d98d63542c87423a | CEME1**081985 | 2,017 | 2017-01-27 | 2017-02-09 | 34 | CEADT | Alta Admnistrativa |
| 94,274 | a91ebc49e725f0638be44c6e17445adb | BACA1**071992 | 2,016 | 2015-10-01 | 2016-04-15 | 27 | Comunidad Terapeutica Hogar Crea, Antofagasta | Abandono |
| 49,659 | 137e8525aa3f79235fa8ad90913fdcbe | FAMU2**071985 | 2,014 | 2013-07-03 | 2014-06-01 | 34 | COSAM Las Animas (CSMC Las Animas-cesamco) | Alta Admnistrativa |
| 29,037 | 1d53b9a82ab4fbc0e6cfa109d664eb51 | 12G10**03194 | 2,012 | 2012-08-20 | 2013-01-15 | 78 | NA | Derivación |
| 29,383 | 001022ffb28057b24dd76900bbf1e3de | YOAC2**041982 | 2,012 | 2012-07-23 | 2012-11-02 | 37 | Comunidad Terapeutica La Ruka | Abandono |
| 64,545 | 0ad9090b99f6add47d0ed80878410d7b | NIFE1**121992 | 2,014 | 2014-11-26 | 2014-11-27 | 26 | NA | Alta Admnistrativa |
| 62,328 | 0ad9090b99f6add47d0ed80878410d7b | NIFE1**121992 | 2,014 | 2014-09-02 | 2014-09-06 | 26 | Comunidad Terapeutica Padre Alberto Hurtado | Abandono |
| 24,395 | 0d7fe0ff18f5b16868a68ca5ee5d4b87 | CEOR1**051979 | 2,012 | 2012-01-10 | 2012-04-02 | 40 | COSAM San Joaquin | Abandono |
| 12,268 | 12073f9a529001d831c957f18d1d9045 | ROZE1**021981 | 2,011 | 2010-07-12 | 2011-05-31 | 38 | CT CITA | Alta Terapéutica |
| 137,996 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 2,018 | 2018-05-02 | 2018-06-30 | 44 | COSAM Quinta Normal | Abandono |
| 25,129 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 2,012 | 2012-02-07 | 2012-04-10 | 44 | COSAM Quinta Normal | Abandono |
| 19,397 | 1e30ddcc36208fe4e251b92d7d3b3a5a | PALA2**041975 | 2,011 | 2011-09-29 | 2011-12-02 | 44 | Centro de Trat. y Rehab. para Personas con Consumo Perjudicial o Dependencia a Alcohol y/o Drogas Colina (CT. Colina PR) | Abandono |
| 31,643 | bb142143c9ba9eef996e02404b5f3898 | VLRO1**061971 | 2,012 | 2012-10-22 | 2013-01-01 | 48 | CT Carpe Diem, El Bosque | Abandono |
| 129,856 | f580b664d04575ecea2dd4ba9e6f0de5 | MAGO1**041982 | 2,018 | 2017-09-04 | 2018-05-31 | 37 | PAI Los Vilos | Alta Terapéutica |
| 152,754 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 2,019 | 2018-12-22 | 2019-06-14 | 38 | Comunidad Terapeutica Padre Alberto Hurtado | Alta Terapéutica |
| 22,130 | 16745e2658996a68e5c2f2e0153f92b8 | YABA1**071981 | 2,012 | 2011-09-12 | 2012-03-30 | 38 | Centro de Rehabilitacion Sede San Jose de Arica (Casa Acogida La Esperanza Arica) | Derivación |
| 24,666 | 2a9e74353a3177ed278508f91265e4b4 | MALO2**021986 | 2,012 | 2012-02-10 | 2012-06-01 | 33 | Centro Comunitario de Salud Mental Familiar (COSAM Pudahuel) | Derivación |
| 4,670 | 2a9e74353a3177ed278508f91265e4b4 | MALO2**021986 | 2,010 | 2010-04-29 | 2010-05-03 | 33 | Comunidad Terapeutica Crem (Hogares Crem) | Abandono |
| 97,354 | 3e23f3c3cbedb2aa1003e6a9d03eb070 | ERSA2**121982 | 2,016 | 2016-05-23 | 2016-11-01 | 36 | Comunidad Terapeutica Orion (M-PR) | Derivación |
| 32,167 | 3e23f3c3cbedb2aa1003e6a9d03eb070 | ERSA2**121982 | 2,013 | 2011-04-12 | 2013-12-18 | 36 | COSAM El Bosque | Alta Admnistrativa |
| 134,162 | 57b4de7542dfab3c29b6705cb392ff8a | SEGU1**081969 | 2,018 | 2018-02-01 | 2018-12-27 | 50 | Hospital de Frutillar | Derivación |
| 67,665 | 57b4de7542dfab3c29b6705cb392ff8a | SEGU1**081969 | 2,015 | 2014-07-01 | 2015-07-14 | 50 | COSAM Puerto Montt | Alta Admnistrativa |
| 48,343 | 57b4de7542dfab3c29b6705cb392ff8a | SEGU1**081969 | 2,014 | 2013-01-11 | 2014-05-29 | 50 | COSAM Puerto Montt | Abandono |
| 8,440 | 7b7c7a8a877c369884fa9745e40b6f3b | JEPO2**021978 | 2,010 | 2010-10-27 | 2010-11-10 | 41 | CT Tiempo de Esperanza (PROSEC) | Abandono |
| 7,566 | 91d2b53989232617a76554f9df52348c | JUTI1**011982 | 2,010 | 2010-07-06 | 2011-07-16 | 37 | COSAM Concepcion | Alta Admnistrativa |
| 25,221 | 9803638c4b8ca2a0920ea15bcc024da5 | JESA2**041986 | 2,012 | 2012-03-08 | 2012-05-08 | 33 | Comunidad Terapeutica Carpe Diem, Hualpen | Abandono |
| 24,854 | 9803638c4b8ca2a0920ea15bcc024da5 | JESA2**041986 | 2,012 | 2012-02-16 | 2012-03-07 | 33 | CESFAM Los Cerros | Derivación |
| 74,778 | e7fba974dc5e247f53d87f558a6fc420 | ALCA1**041980 | 2,015 | 2015-04-01 | 2015-08-31 | 39 | CESFAM Santa Cecilia | Abandono |
#Update of 31-12-2019, nomatch= 0 may be wrong. Finally, it was right for this analysis. Similar to left join:
#CONS_C1_df_egres[HASHs_w_o_date_discharge, on = .(HASH_KEY_2=HASH_KEY,fech_ing_num >= fech_ing_num), #nomatch = 0, its an inner join
# .(row,HASH_KEY,id_mod, ano_bd,fech_ing, fech_egres,Edad,Nombre.Centro,motivodeegreso)] %>% dplyr::filter(!is.na(HASH_KEY))
#fuzzyjoin::fuzzy_left_join(as_tibble(HASHs_w_o_date_discharge),as_tibble(CONS_C1_df_egres2),
# by = c("HASH_KEY" = "HASH_KEY", "fech_ing_num" <= "fech_ing_num2"),
# match_fun = list(`==`, `>`))
# OR
#sqldf("
#SELECT *
#FROM HASHs_w_o_date_discharge
#INNER JOIN CONS_C1_df_egres2
#ON HASHs_w_o_date_discharge.HASH_KEY == CONS_C1_df_egres2.HASH_KEY AND
# HASHs_w_o_date_discharge.fech_ing_num <= CONS_C1_df_egres2.fech_ing_num2") As seen in Table 17, we found 31 cases that should not be included in Table 16, because they can be replaced with a proper date of discharge or inferred by more recent records, according to the information available. But what happens with those cases that had a recent case, despite having the same dates of admission? These are the cases that would end overlapping with the treatments that follow them.
HASHs_w_o_date_discharge<- CONS_C1_df_dup_ENE_2020 %>%
dplyr::filter(is.na(fech_egres)) %>%
dplyr::mutate(fech_ing_num=as.numeric(as.Date(fech_ing)), dias_trat_trans= as.numeric(as.Date("2019-11-13"))-fech_ing_num,
diff_treat_days=dias_trat-dias_trat_trans,fech_egres_num=as.numeric(as.Date(fech_egres))) %>% #fecha del día de hoy
dplyr::select(row, HASH_KEY, id_mod, ano_bd, sexo, fech_ing, fech_ing_num, fech_egres_num, dias_trat_trans,dias_trat,diff_treat_days) %>%
dplyr::select(HASH_KEY, ano_bd, fech_ing_num) %>%
dplyr::distinct(HASH_KEY,fech_ing_num)# %>% dim() 8142
CONS_C1_df_egres2<- CONS_C1_df_dup_ENE_2020 %>%
dplyr::mutate(fech_ing_num2=as.numeric(as.Date(fech_ing))) %>%
dplyr::mutate(fech_egres_num2=as.numeric(as.Date(fech_egres))) %>%
dplyr::mutate(HASH_KEY_2=HASH_KEY) %>%
dplyr::filter(!is.na(fech_egres)) %>%
dplyr::select(row,HASH_KEY_2, id_mod, ano_bd,fech_ing, fech_ing_num2,fech_egres,fech_egres_num2,Edad, Nombre.Centro, motivodeegreso) %>%
as.data.table()
#153394 rows
require(data.table) #v>=1.9.8
#54 cases of C1 that do not have dates of discharge, that can be replaced with cases in C1 that have available dates of discharge but with a date of admission equal or greater than the not available.
CONS_C1_df_dup_w_date_discharge <- CONS_C1_df_egres2[HASHs_w_o_date_discharge, on = .(HASH_KEY_2=HASH_KEY,fech_ing_num2 >= fech_ing_num), nomatch = 0,
.(row,HASH_KEY,id_mod, ano_bd,fech_ing, fech_egres, fech_egres_num2, Edad,Nombre.Centro,motivodeegreso)]
#select hashs for analysis
CONS_C1_df_dup_w_date_discharge_HKEY <-CONS_C1_df_dup_w_date_discharge %>% distinct(HASH_KEY)
dplyr::left_join(CONS_C1_df_dup_ENE_2020,CONS_C1_df_dup_w_date_discharge, by = "HASH_KEY", suffix = c("", ".disch")) %>% # dim()
dplyr::mutate(fech_egres_corr=ifelse(is.na(fech_egres),as.character(fech_ing.disch),as.character(fech_egres))) %>%
dplyr::filter(HASH_KEY %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_w_date_discharge_HKEY)))))) %>%
dplyr::select(row,ano_bd, HASH_KEY, fech_ing, fech_egres, motivodeegreso,fech_egres_corr) %>%
#dplyr::filter(HASH_KEY=="0b9e123cca2191c6a2b4a0fcfcca2d46")
dplyr::distinct(row,.keep_all=T)%>%
dplyr::arrange(HASH_KEY, fech_ing) %>%
knitr::kable(.,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
caption="Table 18. HASHs with a more recent treatment, for analysis", align =rep('c', 101),
col.names = c("Row Number", "Year of\nDataset","Hash Key", "Date of\nAdmission", "Date of\nDischarge", "Cause of\nDischarge", "Date of\nDischarge (Corrected)")) %>%
kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 9) %>%
kableExtra::scroll_box(width = "100%", height = "350px")| Row Number | Year of Dataset | Hash Key | Date of Admission | Date of Discharge | Cause of Discharge | Date of Discharge (Corrected) |
|---|---|---|---|---|---|---|
| 16,163 | 2,011 | 001022ffb28057b24dd76900bbf1e3de | 2011-05-27 | NA | NA | 2012-07-23 |
| 29,383 | 2,012 | 001022ffb28057b24dd76900bbf1e3de | 2012-07-23 | 2012-11-02 | Abandono | 2012-11-02 |
| 15,986 | 2,011 | 0ad9090b99f6add47d0ed80878410d7b | 2011-05-10 | NA | Abandono | 2014-11-26 |
| 62,328 | 2,014 | 0ad9090b99f6add47d0ed80878410d7b | 2014-09-02 | 2014-09-06 | Abandono | 2014-09-06 |
| 64,545 | 2,014 | 0ad9090b99f6add47d0ed80878410d7b | 2014-11-26 | 2014-11-27 | Alta Admnistrativa | 2014-11-27 |
| 18,784 | 2,011 | 0d7fe0ff18f5b16868a68ca5ee5d4b87 | 2011-09-06 | NA | NA | 2012-01-10 |
| 24,395 | 2,012 | 0d7fe0ff18f5b16868a68ca5ee5d4b87 | 2012-01-10 | 2012-04-02 | Abandono | 2012-04-02 |
| 15,768 | 2,011 | 12073f9a529001d831c957f18d1d9045 | 2010-07-12 | NA | NA | 2010-07-12 |
| 12,268 | 2,011 | 12073f9a529001d831c957f18d1d9045 | 2010-07-12 | 2011-05-31 | Alta Terapéutica | 2011-05-31 |
| 21,464 | 2,012 | 137e8525aa3f79235fa8ad90913fdcbe | 2010-10-26 | 2012-04-02 | Abandono | 2012-04-02 |
| 65,674 | 2,015 | 137e8525aa3f79235fa8ad90913fdcbe | 2013-06-24 | NA | NA | 2013-07-03 |
| 49,659 | 2,014 | 137e8525aa3f79235fa8ad90913fdcbe | 2013-07-03 | 2014-06-01 | Alta Admnistrativa | 2014-06-01 |
| 22,481 | 2,012 | 144b8d70d7ea1b9ea70d2ef7543520b2 | 2011-09-26 | 2012-06-11 | Abandono | 2012-06-11 |
| 28,113 | 2,012 | 144b8d70d7ea1b9ea70d2ef7543520b2 | 2012-06-22 | 2012-09-03 | Abandono | 2012-09-03 |
| 73,250 | 2,015 | 144b8d70d7ea1b9ea70d2ef7543520b2 | 2015-01-15 | 2015-03-03 | Abandono | 2015-03-03 |
| 111,197 | 2,017 | 144b8d70d7ea1b9ea70d2ef7543520b2 | 2016-12-16 | NA | NA | 2017-01-31 |
| 112,951 | 2,017 | 144b8d70d7ea1b9ea70d2ef7543520b2 | 2017-01-31 | 2017-10-30 | Alta Terapéutica | 2017-10-30 |
| 1,550 | 2,010 | 16745e2658996a68e5c2f2e0153f92b8 | 2009-11-19 | 2010-02-23 | Abandono | 2010-02-23 |
| 6,039 | 2,010 | 16745e2658996a68e5c2f2e0153f92b8 | 2010-06-09 | NA | Abandono | 2018-12-22 |
| 22,130 | 2,012 | 16745e2658996a68e5c2f2e0153f92b8 | 2011-09-12 | 2012-03-30 | Derivación | 2012-03-30 |
| 152,754 | 2,019 | 16745e2658996a68e5c2f2e0153f92b8 | 2018-12-22 | 2019-06-14 | Alta Terapéutica | 2019-06-14 |
| 12,175 | 2,011 | 1baff032eb17af74d98d63542c87423a | 2010-11-01 | 2011-08-17 | Alta Terapéutica | 2011-08-17 |
| 109,317 | 2,017 | 1baff032eb17af74d98d63542c87423a | 2016-09-13 | NA | NA | 2017-01-27 |
| 112,950 | 2,017 | 1baff032eb17af74d98d63542c87423a | 2017-01-27 | 2017-02-09 | Alta Admnistrativa | 2017-02-09 |
| 25,303 | 2,012 | 1d53b9a82ab4fbc0e6cfa109d664eb51 | 2012-03-19 | NA | NA | 2012-08-20 |
| 29,037 | 2,012 | 1d53b9a82ab4fbc0e6cfa109d664eb51 | 2012-08-20 | 2013-01-15 | Derivación | 2013-01-15 |
| 19,397 | 2,011 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2011-09-29 | 2011-12-02 | Abandono | 2011-12-02 |
| 18,774 | 2,011 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2011-09-29 | NA | Abandono | 2018-05-02 |
| 25,129 | 2,012 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2012-02-07 | 2012-04-10 | Abandono | 2012-04-10 |
| 137,996 | 2,018 | 1e30ddcc36208fe4e251b92d7d3b3a5a | 2018-05-02 | 2018-06-30 | Abandono | 2018-06-30 |
| 194 | 2,010 | 2a9e74353a3177ed278508f91265e4b4 | 2009-10-08 | NA | Abandono | 2012-02-10 |
| 4,670 | 2,010 | 2a9e74353a3177ed278508f91265e4b4 | 2010-04-29 | 2010-05-03 | Abandono | 2010-05-03 |
| 24,666 | 2,012 | 2a9e74353a3177ed278508f91265e4b4 | 2012-02-10 | 2012-06-01 | Derivación | 2012-06-01 |
| 8,239 | 2,010 | 3e23f3c3cbedb2aa1003e6a9d03eb070 | 2010-10-07 | NA | Abandono | 2016-05-23 |
| 32,167 | 2,013 | 3e23f3c3cbedb2aa1003e6a9d03eb070 | 2011-04-12 | 2013-12-18 | Alta Admnistrativa | 2013-12-18 |
| 97,354 | 2,016 | 3e23f3c3cbedb2aa1003e6a9d03eb070 | 2016-05-23 | 2016-11-01 | Derivación | 2016-11-01 |
| 6,593 | 2,010 | 57b4de7542dfab3c29b6705cb392ff8a | 2010-07-09 | NA | NA | 2018-02-01 |
| 48,343 | 2,014 | 57b4de7542dfab3c29b6705cb392ff8a | 2013-01-11 | 2014-05-29 | Abandono | 2014-05-29 |
| 67,665 | 2,015 | 57b4de7542dfab3c29b6705cb392ff8a | 2014-07-01 | 2015-07-14 | Alta Admnistrativa | 2015-07-14 |
| 134,162 | 2,018 | 57b4de7542dfab3c29b6705cb392ff8a | 2018-02-01 | 2018-12-27 | Derivación | 2018-12-27 |
| 8,440 | 2,010 | 7b7c7a8a877c369884fa9745e40b6f3b | 2010-10-27 | 2010-11-10 | Abandono | 2010-11-10 |
| 8,320 | 2,010 | 7b7c7a8a877c369884fa9745e40b6f3b | 2010-10-27 | NA | Abandono | 2010-10-27 |
| 6,868 | 2,010 | 91d2b53989232617a76554f9df52348c | 2010-07-01 | NA | Derivación | 2010-07-06 |
| 7,566 | 2,010 | 91d2b53989232617a76554f9df52348c | 2010-07-06 | 2011-07-16 | Alta Admnistrativa | 2011-07-16 |
| 2,603 | 2,010 | 9803638c4b8ca2a0920ea15bcc024da5 | 2010-01-20 | NA | Abandono | 2012-03-08 |
| 24,854 | 2,012 | 9803638c4b8ca2a0920ea15bcc024da5 | 2012-02-16 | 2012-03-07 | Derivación | 2012-03-07 |
| 25,221 | 2,012 | 9803638c4b8ca2a0920ea15bcc024da5 | 2012-03-08 | 2012-05-08 | Abandono | 2012-05-08 |
| 54,834 | 2,014 | a91ebc49e725f0638be44c6e17445adb | 2014-01-30 | 2014-02-07 | Abandono | 2014-02-07 |
| 89,750 | 2,016 | a91ebc49e725f0638be44c6e17445adb | 2015-09-23 | NA | NA | 2015-10-01 |
| 94,274 | 2,016 | a91ebc49e725f0638be44c6e17445adb | 2015-10-01 | 2016-04-15 | Abandono | 2016-04-15 |
| 157,931 | 2,019 | a92ab8f10fa05d0d9dcb5855c0ec0092 | 2019-04-24 | NA | NA | 2019-05-13 |
| 156,785 | 2,019 | a92ab8f10fa05d0d9dcb5855c0ec0092 | 2019-05-13 | 2019-05-22 | Abandono | 2019-05-22 |
| 15,769 | 2,011 | bb142143c9ba9eef996e02404b5f3898 | 2010-12-03 | NA | NA | 2012-10-22 |
| 31,643 | 2,012 | bb142143c9ba9eef996e02404b5f3898 | 2012-10-22 | 2013-01-01 | Abandono | 2013-01-01 |
| 5,581 | 2,010 | e7fba974dc5e247f53d87f558a6fc420 | 2010-05-25 | NA | Abandono | 2015-04-01 |
| 74,778 | 2,015 | e7fba974dc5e247f53d87f558a6fc420 | 2015-04-01 | 2015-08-31 | Abandono | 2015-08-31 |
| 147,356 | 2,019 | ecde0c8a8477604ba6402ca715e42756 | 2018-05-02 | 2019-10-31 | Derivación | 2019-10-31 |
| 137,228 | 2,018 | ecde0c8a8477604ba6402ca715e42756 | 2018-05-02 | NA | NA | 2018-05-02 |
| 11,357 | 2,011 | f580b664d04575ecea2dd4ba9e6f0de5 | 2010-10-02 | NA | Abandono | 2017-09-04 |
| 129,856 | 2,018 | f580b664d04575ecea2dd4ba9e6f0de5 | 2017-09-04 | 2018-05-31 | Alta Terapéutica | 2018-05-31 |
#NO SE PUEDEN RESCATAR DE TOPs
#CONS_C1_df_dup_ENE_2020_w_date_disch <- CONS_C1_df_dup_ENE_2020 %>% dplyr::filter(is.na(fech_egres)) #no puedo rescatar de TOP
#CONS_TOP %>%
# dplyr::mutate(fech_ing= lubridate::parse_date_time(Fecha.de.Ingreso.a.Tratamiento, c("%d/%m/%Y"),exact=T)) %>% #no fallan casos en ser transformados
# dplyr::filter(TOP=="Egreso", Etapa.del.Tratamiento=="Egreso") %>%
# dplyr::mutate(fech_ap_top= lubridate::parse_date_time(Fecha.Aplicación.TOP, c("%Y-%m-%d"),exact=T)) %>% #ni un caso falla en ser transformado
# dplyr::mutate(concat=paste0(HASH_KEY,"_",fech_ing)) %>%
# dplyr::right_join(CONS_C1_df_dup_ENE_2020_w_date_disch,by="concat") %>%
# dplyr::filter(!is.na(fech_ap_top)) %>%
# dplyr::select(HASH_KEY.x, fech_ing.x,concat,fech_egres,fech_ap_top) %>%View()In Table 18, we offered a table of each HASH and dates of discharge. This Table may let us decide whether to replace the dates of discharge by the following date of admission (leading to a time-to-readmission of 0) or to erase the complete case. As stated in the meeting of Jan. 13, 2020, an alternative would be to impute days of treatment and generate a new date of discharge by adding the days of treatment to the date of admission.
#TODAVÍA NO ES POSIBLE HACER EL TRASPASO DE ESAS FECHAS TAN IMPORTANTES AL HASH.
#NO SE PUEDEN RESCATAR DE TOPs
#CONS_C1_df_dup_ENE_2020_w_date_disch <- CONS_C1_df_dup_ENE_2020 %>% dplyr::filter(is.na(fech_egres)) #no puedo rescatar de TOP
#CONS_TOP %>%
# dplyr::mutate(fech_ing= lubridate::parse_date_time(Fecha.de.Ingreso.a.Tratamiento, c("%d/%m/%Y"),exact=T)) %>% #no fallan casos en ser transformados
# dplyr::filter(TOP=="Egreso", Etapa.del.Tratamiento=="Egreso") %>%
# dplyr::mutate(fech_ap_top= lubridate::parse_date_time(Fecha.Aplicación.TOP, c("%Y-%m-%d"),exact=T)) %>% #ni un caso falla en ser transformado
# dplyr::mutate(concat=paste0(HASH_KEY,"_",fech_ing)) %>%
# dplyr::right_join(CONS_C1_df_dup_ENE_2020_w_date_disch,by="concat") %>%
# dplyr::filter(!is.na(fech_ap_top)) %>%
# dplyr::select(HASH_KEY.x, fech_ing.x,concat,fech_egres,fech_ap_top) %>%View()
metadata(CONS_C1_df_dup_ENE_2020)$name <- "Agreement 1 SENDA"
metadata(CONS_C1_df_dup_ENE_2020)$description <- "Information About Agreement 1 of SENDA and MINSAL"
codebook::var_label(CONS_C1_df_dup_ENE_2020) <- list(row = 'Numerador de los eventos presentes en la Base de Datos/Events in the Dataset',
TABLE = 'Origen de los Datos (de los archivos por año)/Source of Data (of files per year)',
HASH_KEY = 'Codificación del RUN/Masked Identifier (RUN)',
ano_bd = 'Año de la Base de Datos/Year of the Dataset (Source)',
id = 'Codigo Identificación de SENDA/SENDAs ID',
Nombre.Centro = 'Nombre del Centro de Tratamiento/Treatment Center',
tipo_centro = 'Tipo de Centro/Type of Center',
Región.del.Centro = 'Región del Centro/Chilean Region of the Center',
Servicio.de.Salud = 'Servicio de Salud/Health Service',
Tipo.de.Programa = '(original, Recodificado en tipo_de_programa)/',
Tipo.de.Plan = '(original, Recodificado en tipo_de_plan)/',
SENDA = 'SENDA/SENDA',
dias_trat = 'Días de Tratamiento/Days of Treatment',
nmesesentratamiento = 'Número de Meses en Tratamiento/Number of Months in Treatment',
Dias.en.SENDA = 'Días en SENDA/Days in SENDA',
N.Meses.en.SENDA = 'Número de Meses en SENDA/Number of Months in SENDA',
Sexo = '(original, Recodificado en sexo)/',
Edad = 'Edad (número entero)/Year (Discrete Number)',
Nombre.Usuario = 'Nombre del Usuario (OCULTO y no accesible)/Name of the User (Not Accessible)',
Comuna.Residencia = 'Comuna de Residencia/Municipality of Residence',
Origen.de.Ingreso = '(original, Recodificado en origen_ingreso)/',
País.Nacimiento = 'País de Nacimiento/Country of Birth',
Nacionalidad = 'Nacionalidad/Nationallity',
Etnia = 'Etnia/Ethnicity',
Estado.Conyugal = '(original, Recodificado en estado_conyugal)/',
Número.de.Hijos = 'Número de Hijos/Number of Children',
Número.de.Hijos.Ingreso.Tratamiento.Residencial = 'Número de Hijos para Ingreso a Tratamiento Residencial/Number of Children to Residential Treatment',
Parentesco.con.el.Jefe.de.Hogar = '(Sólo presenta valores perdidos)/',
Numero.de.Tratamientos.Anteriores = 'Número de Tratamientos Anteriores/Number of Previous Treatments',
Fecha.Ultimo.Tratamiento = 'Fecha del Último Tratamiento (aún no formateada como fecha)/Date of the Last Treatment',
Sustancia.de.Inicio = '(original, Recodificado en sus_ini)/',
Edad.Inicio.Consumo = '(original, Recodificado en edad_ini_cons)/',
X.Se.trata.de.una.mujer.embarazada. = 'Mujer Embarazada al Ingreso/Pregnant at Admission',
Escolaridad..último.año.cursado. = '(original, Recodificado en escolaridad)/',
Condicion.Ocupacional = '(original, Recodificado en estatus_ocupacional)/',
Categoría.Ocupacional = '(original, Recodificado en cat_ocupacional)/',
Rubro.Trabaja = 'Rubro de Trabajo/Area of Work',
Con.Quién.Vive = 'Persona con la que vive el Usuario/People that Share Household with the User',
Tipo.de.vivienda = 'Tipo de Vivienda/Type of Housing',
Tenencia.de.la.vivienda = 'Tenencia de la Vivienda/Tenure status of Households',
Sustancia.Principal = '(original, Recodificado en sus_principal)/',
Otras.Sustancias.nº1 = '(original, Recodificado en otras_sus1)/',
Otras.Sustancias.nº2 = '(original, Recodificado en otras_sus2)/',
Otras.Sustancias.nº3 = '(original, Recodificado en otras_sus3)/',
Frecuencia.de.Consumo..Sustancia.Principal. = '(original, Recodificado en freq_cons_sus_prin)/',
Edad.Inicio..Sustancia.Principal. = '(original, Recodificado en edad_ini_sus_prin)/',
Vía.Administración..Sustancia.Principal. = '(original, Recodificado en via_adm_sus_prin)/',
Diagnóstico.Trs..Consumo.Sustancia = 'Diagnósico de Trastorno por Consumo de Sustancias/Diagnosed of Substance Use Disorder',
Diagnóstico.Trs..Psiquiátrico.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV/Diagnosis of Psychiatric Disorders, DSM-IV criteria',
Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification)',
X2.Diagnóstico.Trs..Psiquiátrico.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (2)',
X2.Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (2)',
X3.Diagnóstico.Trs..Psiquiátrico.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (3)',
X3.Diagnóstico.Trs..Psiquiátrico.SUB.DSM.IV = 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (3)',
Diagnóstico.Trs..Psiquiátrico.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10/Diagnosis of Psychiatric Disorders, CIE-10 criteria',
Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification)',
X2.Diagnóstico.Trs..Psiquiátrico.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (2)',
X2.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (2)',
X3.Diagnóstico.Trs..Psiquiátrico.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (3)',
X3.Diagnóstico.Trs..Psiquiátrico.SUB.CIE.10 = 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (3)',
Diagnóstico.Trs..Físico = 'Diagnóstico de Trastorno Físico/Diagnosis of Physical Disorder',
Otros.Problemas.de.Atención.de.Salud.Mental = 'Otros Problemas de Atención Vinculados a Salud Mental/Other problems linked to Mental Health',
Compromiso.Biopsicosocial = 'Compromiso Biopsicosocial/Biopsychosocial Involvement',
DIAGNOSTICO.GLOBAL.DE.NECESIDADES.DE.INTEGRACION.SOCIAL = 'Diagnóstico Global de Necesidades de Integración Social al Ingreso/Global Diagnosis of Social Integration at Admission',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.HUMANO = 'Diagnóstico de Necesidades de Integración Social en Capital Humano al Ingreso/Global Diagnosis of Social Integration in Human Capital at Admission',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.FISICO = 'Diagnóstico de Necesidades de Integración Social en Capital Físico al Ingreso/Global Diagnosis of Social Integration in Physical Capital at Admission',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.SOCIAL = 'Diagnóstico de Necesidades de Integración Social en Capital Social al Ingreso/Global Diagnosis of Social Integration in Social Capital at Admission',
fech_ing = 'Fecha de Ingreso a Tratamiento/Date of Admission to Treatment',
Fecha.Ingreso.a.Convenio.SENDA = 'Fecha de Ingreso a Convenio SENDA (aún no formateada como fecha)/Date of Admission to SENDA Agreement',
Usuario.de.Tribunales..Tratamiento.Drogas = 'Usuario de modalidad Tribunales de Tratamiento de Drogas/User of Drug Treatment Courts Modality',
Consentimiento.Informado = 'Consentimiento Informado/Informed Consent',
fech_egres = 'Fecha de Egreso de Tratamiento/Date of Discharge from Treatment',
motivodeegreso = 'Motivo de Egreso/Cause of Discharge',
Tipo.Centro.Derivación = 'Tipo de Centro al que el Usuario es Derivado/Type of Center of Derivation',
evaluacindelprocesoteraputico = 'Evaluación del Proceso Terapéutico/Evaluation of the Therapeutic Process',
eva_consumo = 'Evaluación al Egreso Respecto al Patrón de consumo/Evaluation at Discharge regarding to Consumption Pattern',
eva_fam = 'Evaluación al Egreso Respecto a Situación Familiar/Evaluation at Discharge regarding to Family Situation',
eva_relinterp = 'Evaluación al Egreso Respecto a Relaciones Interpersonales/Evaluation at Discharge regarding to Interpersonal Relations',
eva_ocupacion = 'Evaluación al Egreso Respecto a Situación Ocupacional/Evaluation at Discharge regarding to Occupational Status',
eva_sm = 'Evaluación al Egreso Respecto a Salud Mental/Evaluation at Discharge regarding to Mental Health',
eva_fisica = 'Evaluación al Egreso Respecto a Salud Física/Evaluation at Discharge regarding to Physical Health',
eva_transgnorma = 'Evaluación al Egreso Respecto a Trasgresión a la Norma Social/Evaluation at Discharge regarding to Transgression to the Norm',
Diagnóstico.Trastorno.Psiquiátrico.CIE.10.al.Egreso = '(Sólo presenta valores perdidos)/',
DIAGNOSTICO.GLOBAL.DE.NECESIDADES.DE.INTEGRACION.SOCIAL.1 = 'Diagnóstico Global de Necesidades de Integración Social (al Egreso)/Global Diagnosis of Social Integration (at Discharge)',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.HUMANO.1 = 'Diagnóstico de Necesidades de Integración Social en Capital Humano (al Egreso)/Global Diagnosis of Social Integration in Human Capital (at Discharge)',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.FISICO.1 = 'Diagnóstico de Necesidades de Integración Social en Capital Físico (al Egreso)/Global Diagnosis of Social Integration in Physical Capital (at Discharge)',
DIAGNOSTICO.DE.NECESIDADES.DE.INTEGRACIóN.SOCIAL.EN.CAPITAL.SOCIAL.1 = 'Diagnóstico de Necesidades de Integración Social en Capital Social (al Egreso)/Global Diagnosis of Social Integration in Social Capital (at Discharge)',
TIENE.MENORES.DE.EDAD.A.CARGO = 'Menores de Edad A Cargo/Minor Dependants',
Motivo.de.egreso.Alta.Administrativa = 'Motivo de Egreso Alta Administrativa/Cause of Discharge ',
Consorcio = 'Sociedades de Tratamiento, Servicios de Salud, Fundaciones, entre otras entidades encargadas de los centros/Consortium',
ID.centro = 'ID de Centro/Center ID',
Ha.estado.embarazada.egreso. = '¿Ha estado embarazada? (al Egreso)/Have you been Pregnant (at Discharge)',
identidad.de.genero = 'Identidad de Género/Gender Identity',
discapacidad = 'Presenta Discapacidad/Disability',
hash_rut_completo = 'HASH alternativo, en el escenario en que se asuma que el individuo al que se le codificó el RUN presente mayor edad/Alternative HASH-Key',
Opción.discapacidad = 'Origen de Discapacidad/Cause of Disability',
sexo = 'Sexo Usuario/Sex of User',
embarazo = 'Embarazo/Pregnant',
tipo_de_plan = 'Tipo de Plan/Type of Plan',
tipo_de_programa = 'Tipo de Programa de Tratamiento/Type of Program',
fech_egres_sin_fmt = 'Fecha de Egreso de Tratamiento (Sin Formato de Fecha)/Date of Discharge',
id_mod = 'ID de SENDA para Presentación en Página Web (enmascara caracteres 5 y 6)/SENDAs ID (mask characters 5 & 6)',
ano_nac = 'Año de Nacimiento (numérico)/Year of Birth (numeric)',
fech_ing_ano = 'Año de Ingreso (numérico)/Year of Admission (numeric)',
fech_ing_mes = 'Mes de Ingreso (numérico)/Month of Admission (numeric)',
fech_ing_dia = 'Día de Ingreso (numérico)/Day of Admission (numeric)',
concat = 'ID de SENDA y HASH Concatenado (permite discriminar más de un HASH en un mismo ID)/Combination of SENDAs ID & HASH',
dias_trat_inv = 'Días de Tratamiento Invertidos (fecha más reciente, menor valor numérico)/Treatment Days (Reversed)',
fech_nac = 'Fecha de Nacimiento/Date of Birth',
Edad_al_ing = 'Edad a la Fecha de Ingreso a Tratamiento (numérico continuo)/Age at Admission to Treatment',
edad_ini_cons= 'Edad de Inicio de Consumo/ Age of Onset of Drug Use',
edad_ini_sus_prin = 'Edad de Inicio de Consumo Sustancia Principal/ Age of Onset of Drug Use Principal Substance',
dias_trat_alta_temprana = 'Días de tratamiento (<90)/ Less than 90 days in treatment',
motivodeegreso_mod = 'Motivo de Egreso (con abandono temprano y tardío)/Cause of Discharge (with late and early withdrawal)',
sus_principal = 'Sustancia Principal de Consumo/Main Substance of Consumption',
otras_sus1= 'Otras Sustancias (1)/Other Substances (1)',
otras_sus2= 'Otras Sustancias (2)/Other Substances (2)',
otras_sus3= 'Otras Sustancias (3)/Other Substances (3)',
sus_ini= 'Sustancia de Inicio/Starting Substance',
estado_conyugal='Estado Conyugal/Marital Status',
estatus_ocupacional= 'Condición Ocupacional/Occupational Status',
cat_ocupacional= 'Categoría Ocupacional/Occupational Category',
Edad_grupos = 'Edad agrupada/Age in groups',
origen_ingreso= 'Origen de Ingreso/Motive of Admission to Treatment',
escolaridad= 'Escolaridad: Nivel Eduacional/Educational Attainment',
freq_cons_sus_prin = 'Frecuencia de Consumo de la Sustancia Principal/Frequency of Consumption of the Main Substance',
via_adm_sus_prin = 'Vía de Administración de la Sustancia Principal/Route of Administration of the Main Substance')
CONS_C1_df_dup_ENE_2020 <- janitor::clean_names(CONS_C1_df_dup_ENE_2020)
#PARA EXPORTAR LABELS A EXCEL
#data.table::data.table(table(CONS_C1_df_dup_ENE_2020$identidad.de.genero, exclude=NULL)) %>% mutate(export=paste0(row_number(),".",V1)) %>% select(-V1) %>% select(export,N)%>% copiar_nombres()
#save.image("G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/3.Rdata")save.image(paste0(gsub("/SUD_CL","",path),"/2.Rdata"))
unlink(paste0(path, '/*_cache'), recursive = TRUE)
#save.image("H:/sud_cl/3.Rdata")7. Preliminary Summary in January 2020
Many selections for the purposes of the study are still being necessary until today, in order to keep the greater amount of information about each event.
#knitr::include_graphics("G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/SUD_CL/Figures/Figure_Duplicates.svg")
library(DiagrammeR)
DiagrammeR::grViz("
digraph graph2 {
graph [layout = dot]
# node definitions with substituted label text
node [shape = rectangle, width = 4, color = 'steelblue',fillcolor = lightblue]
a [label = '@@1']
b [label = '@@2']
c [label = '@@3']
d [label = '@@4']
e [label = '@@5']
f [label = '@@6']
a -> b -> c -> {d e f}
}
[1]: paste0('Once removed same values in >100 variables (n = ', formatC(nrow(CONS_C1_df_dup), format='f', big.mark=',', digits=0), ')')
[2]: paste0('Once removed same values in variables related to treatments and substance use (n = ', formatC(nrow(CONS_C1_df_dup_ENE_2020_prev2), format='f', big.mark=',', digits=0), ')')
[3]: paste0('Preliminary Dataset (n = ', formatC(nrow(CONS_C1_df_dup_ENE_2020), format='f', big.mark=',', digits=0), ')')
[4]: paste0('Same HASH & Date of Admission (n = ', formatC(dup_cases_quarter_n, format='f', big.mark=',', digits=0), ')')
[5]: paste0('Overlapped Ranges of Treatments (n = ', formatC(nrow(overlap_dates_C1), format='f', big.mark=',', digits=0), ')')
[6]: paste0('Pairs of Probabilistic Matches (n = ', formatC(nrow(matches_from_stata_c1)/2, format='f', big.mark=',', digits=0), ')')
")sessionInfo()R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=Spanish_Chile.1252 LC_CTYPE=Spanish_Chile.1252
[3] LC_MONETARY=Spanish_Chile.1252 LC_NUMERIC=C
[5] LC_TIME=Spanish_Chile.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DiagrammeR_1.0.6.1.9000 gridExtra_2.3
[3] plotly_4.9.2.1 radiant.update_1.4.1
[5] neuralnet_1.44.2 radiant_1.3.2
[7] radiant.multivariate_1.3.6 radiant.model_1.3.12
[9] radiant.basics_1.3.4 radiant.design_1.3.5
[11] mvtnorm_1.1-1 radiant.data_1.3.9
[13] magrittr_1.5 tidylog_1.0.1
[15] ggiraphExtra_0.2.9 ggiraph_0.7.0
[17] glue_1.4.1 haven_2.3.1
[19] Statamarkdown_0.4.5 devtools_2.3.0
[21] usethis_1.6.1 sqldf_0.4-11
[23] RSQLite_2.2.0 gsubfn_0.7
[25] proto_1.0.0 broom_0.7.12
[27] codebook_0.9.2 zoo_1.8-8
[29] rbokeh_0.5.1 lubridate_1.7.9
[31] kableExtra_1.1.0 Hmisc_4.4-0
[33] Formula_1.2-3 survival_3.2-3
[35] lattice_0.20-41 ggplot2_3.3.2
[37] stringr_1.4.0 stringi_1.4.6
[39] janitor_2.0.1 tidyr_1.1.0
[41] knitr_1.29 data.table_1.12.8
[43] dplyr_1.0.0 here_0.1
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 import_1.1.0 htmlwidgets_1.5.1
[4] ranger_0.12.1 grid_4.0.2 pdp_0.7.0
[7] munsell_0.5.0 clustMixType_0.2-15 codetools_0.2-18
[10] xgboost_1.1.1.1 chron_2.3-55 withr_2.4.3
[13] colorspace_1.4-1 highr_0.8 AlgDesign_1.2.0
[16] uuid_0.1-4 rstudioapi_0.11 randomizr_0.20.0
[19] labeling_0.3 repr_1.1.0 mnormt_2.0.0
[22] farver_2.0.3 bit64_0.9-7 rprojroot_1.3-2
[25] vctrs_0.3.1 generics_0.0.2 xfun_0.29
[28] R6_2.4.1 markdown_1.1 reshape_0.8.8
[31] shinyAce_0.4.1 assertthat_0.2.1 promises_1.1.1
[34] scales_1.1.1 nnet_7.3-14 gtable_0.3.0
[37] processx_3.5.2 sandwich_2.5-1 rlang_1.0.1
[40] clisymbols_1.2.0 polycor_0.7-10 systemfonts_0.2.3
[43] splines_4.0.2 lazyeval_0.2.2 acepack_1.4.1
[46] hexbin_1.28.1 mycor_0.1.1 checkmate_2.0.0
[49] yaml_2.2.1 reshape2_1.4.4 abind_1.4-5
[52] crosstalk_1.1.0.1 backports_1.1.8 httpuv_1.5.4
[55] tools_4.0.2 tcltk_4.0.2 psych_1.9.12.31
[58] ellipsis_0.3.1 jquerylib_0.1.4 RColorBrewer_1.1-2
[61] sessioninfo_1.1.1 Rcpp_1.0.4.6 plyr_1.8.6
[64] base64enc_0.1-3 visNetwork_2.0.9 purrr_0.3.4
[67] ps_1.3.3 prettyunits_1.1.1 rpart_4.1-15
[70] ggrepel_0.8.2 cluster_2.1.0 fs_1.4.2
[73] tmvnsim_1.0-2 sjmisc_2.8.5 pkgload_1.1.0
[76] hms_0.5.3 patchwork_1.0.1 mime_0.9
[79] evaluate_0.14 xtable_1.8-4 jpeg_0.1-8.1
[82] readxl_1.3.1 testthat_2.3.2 compiler_4.0.2
[85] tibble_3.0.1 maps_3.3.0 writexl_1.3
[88] crayon_1.3.4 htmltools_0.5.2 mgcv_1.8-31
[91] later_1.1.0.1 DBI_1.1.0 sjlabelled_1.1.5
[94] ppcor_1.1 MASS_7.3-51.6 data.tree_0.7.11
[97] Matrix_1.2-18 car_3.0-12 readr_1.3.1
[100] cli_3.1.1 GPArotation_2014.11-1 pryr_0.1.4
[103] gower_0.2.2 parallel_4.0.2 insight_0.8.4
[106] forcats_0.5.0 pkgconfig_2.0.3 foreign_0.8-80
[109] xml2_1.3.2 webshot_0.5.2 rvest_0.3.5
[112] snakecase_0.11.0 callr_3.7.0 digest_0.6.25
[115] rmarkdown_2.11 cellranger_1.1.0 htmlTable_2.0.0
[118] gdtools_0.2.2 curl_4.3 shiny_1.5.0
[121] pwr_1.3-0 lifecycle_0.2.0 nlme_3.1-148
[124] jsonlite_1.7.0 carData_3.0-5 desc_1.2.0
[127] viridisLite_0.3.0 labelled_2.5.0 pillar_1.4.6
[130] NeuralNetTools_1.5.2 shinyFiles_0.8.0.9003 fastmap_1.1.0
[133] httr_1.4.2 pkgbuild_1.1.0 remotes_2.4.2
[136] png_0.1-7 bit_1.1-15.2 class_7.3-17
[139] gistr_0.5.0 blob_1.2.2 latticeExtra_0.6-29
[142] memoise_1.1.0 e1071_1.7-3