2004–2024 · 5 elections · ZAF
SAGE has legislative election results for South Africa from 5 elections between 2004 and 2024: 2004, 2009, 2014, 2019 and 2024. The smallest unit is the voting districts. The 2024 election has 23,291 voting districtses, and 100% 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 | |
|---|---|---|---|---|---|---|---|---|
| 2004 | Legislative (lower house) | 16,963 | 100% | 15,612,528 | yes | [map] | ||
| 2009 | Legislative (lower house) | 19,725 | 100% | 17,670,872 | yes | [map] | ||
| 2014 | Legislative (lower house) | 22,262 | 100% | 18,384,365 | yes | [map] | ||
| 2019 | Legislative (lower house) | 22,904 | 100% | 17,393,162 | yes | [map] | ||
| 2024 | Legislative (lower house) | 23,291 | 100% | 16,039,009 | 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 34 MB] [gpkg 355 MB] [parquet 402 MB] [rds 1.5 GB] [codebook 828 KB]
In R or Python:
R: install.packages("sage")
sage::sage_load("South Africa", years = 2024)
Python: import sage
sage.sage_load("South Africa", 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.
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