suacir is an R package for downloading and analysing data from the Sistema Único de Atención Ciudadana (SUACI), published by the Buenos Aires City Government on the Buenos Aires Data portal. The dataset covers citizen requests, complaints, and enquiries received by the city from 2011 to the present.
remotes::install_github("jpripamonti/suacir")library(suacir)
# Which years are available?
suaci_years()
#> [1] 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
# Download a single year
df_2023 <- suaci_get(2023)
dplyr::glimpse(df_2023)
# Download all years (large download — several GB)
all_data <- suaci_get_all()
# Use the built-in sample (100 rows, no internet required)
dplyr::glimpse(suaci_sample)All tibbles returned by suaci_get() and suaci_get_all() share a consistent
schema regardless of the source year:
| Column | Type | Description |
|---|---|---|
nro_solicitud |
character | Request number (NA for 2011–2018) |
periodo |
character | Period code (yyyymm) |
categoria |
character | Service category |
prestacion |
character | Specific service |
tipo |
character | Request type (Reclamo, Solicitud, etc.) |
fecha_ingreso |
Date | Date received |
hora_ingreso |
character | Time received |
comuna |
character | Administrative district |
barrio |
character | Neighbourhood |
calle |
character | Street name |
altura |
character | Street number |
esquina_proxima |
character | Nearest cross street |
canal |
character | Intake channel (NA for 2011–2018) |
lat |
numeric | WGS84 latitude |
long |
numeric | WGS84 longitude |
genero |
character | Requester gender (NA for 2011–2018) |
estado_general |
character | Request status (NA for 2011–2018) |
year |
integer | Source year |
- 2011–2015:
lat/longare stored with dot decimal separators in the source files but contain data quality issues (some values appear scaled by a factor of 10). Use with caution. - 2016–2018:
lat/longare correct WGS84 degrees. - 2019–2024: coordinates are sourced from the
lat_wgs84/long_wgs84columns in the original files. - 2025:
lat/longcolumns are present but largely empty.
Buenos Aires Data portal — Sistema Único de Atención Ciudadana: https://data.buenosaires.gob.ar/dataset/sistema-unico-atencion-ciudadana
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