2018–2026 · 2 elections · COL
SAGE has legislative election results for Colombia from 2 elections between 2018 and 2026: 2018 and 2026. The smallest unit is the polling station. The 2026 election has 13,428 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 | |
|---|---|---|---|---|---|---|---|---|
| 2018 | Legislative (lower house) | Abroad | 1,899 | 0% | 109,168 | yes | [map] | |
| Legislative (lower house) | 102,130 | 99% | 14,224,708 | yes | ||||
| 2026 | Legislative (lower house) | Abroad | 889 | 0% | 226,219 | yes | [map] | |
| Legislative (lower house) | 13,428 | 99% | 18,615,436 | yes |
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 14 MB] [gpkg 4.5 MB] [parquet 7.8 MB] [rds 10 MB] [codebook 1.1 MB]
| Year | Downloads |
|---|---|
| 2026 | [csv 2.7 MB] [gpkg 1.6 MB] [parquet 1.8 MB] |
| 2018 | [csv 11 MB] [gpkg 2.9 MB] [parquet 4.5 MB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Colombia", years = 2026)
Python: import sage
sage.sage_load("Colombia", years=[2026])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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