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
data-raw/consolidated/ holds suaci_all_years.rds, the 2011–2025 consolidation
produced by this package: 9,960,309 rows, 18 columns, 250 MB on disk and roughly
1.6 GB in memory. Read it with readRDS(); metadata.json alongside it records
the per-year row counts, the schema, the generating R and package versions, and a
SHA-256 checksum, which was verified on 2026-07-24.
The .rds is excluded from Git — it is regenerable from the package, and too
large to track. Its metadata.json and .txt companion are tracked, so the
provenance survives even though the artifact does not.
It arrived here on 2026-07-24 from 03-resources/01-datasets/to_organize, the
old ~/Datasets workspace that had been moved into Resources wholesale. A
generated extract is project material, not a Resource, so it was returned to the
package that generates it. Regenerate and update the checksum if the source CSVs,
the parser, or the list of years changes.
MIT