2014–2024 · 3 elections · URY
SAGE has legislative election results for Uruguay from 3 elections between 2014 and 2024: 2014, 2019 and 2024. The smallest unit is the polling station. The 2024 election has 7,358 polling stations, and 99% of them have a location. Unit boundaries are available for every election.
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Units are the smallest units in the data, and located units are those with coordinates. A year with several rows has several contests or votes; filter on them before you add up votes.
| Year | Election type | Vote type | Round | Units | % located | Votes | Polygons | |
|---|---|---|---|---|---|---|---|---|
| 2014 | Legislative (lower house) | 7,044 | 99% | 4,491,097 | yes | [map] | ||
| 2019 | Legislative (lower house) | 7,248 | 99% | 4,691,646 | yes | [map] | ||
| 2024 | Legislative (lower house) | 7,358 | 99% | 4,656,517 | yes | [map] |
csv opens in Excel, Stata, R, or Python. gpkg has the unit boundaries
for QGIS, ArcGIS, R, or Python. parquet has the vote rows as Parquet.
rds is the native R sf object. Each ZIP has a README with the columns.
All years: [csv 2.5 MB] [gpkg 1.4 MB] [parquet 2.2 MB] [rds 2.7 MB] [codebook 231 KB]
| Year | Downloads |
|---|---|
| 2024 | [csv 891 KB] [gpkg 670 KB] [parquet 556 KB] |
| 2019 | [csv 924 KB] [gpkg 654 KB] [parquet 522 KB] |
| 2014 | [csv 705 KB] [gpkg 644 KB] [parquet 477 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Uruguay", years = 2024)
Python: import sage
sage.sage_load("Uruguay", years=[2024])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
Some of these data come from other researchers’ collections; see please also cite.