2011–2023 · 3 elections · LBR
SAGE has presidential election results for Liberia from 3 elections between 2011 and 2023: 2011, 2017 and 2023. The smallest unit is the polling station. The 2023 election has 5,890 polling stations, 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 | |
|---|---|---|---|---|---|---|---|---|
| 2011 | Presidential | 4,457 | 100% | 1,206,642 | yes | [map] | ||
| 2017 | Presidential | 5,390 | 100% | 1,553,348 | yes | [map] | ||
| 2023 | Presidential | 5,890 | 100% | 1,834,516 | 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 1.9 MB] [gpkg 733 KB] [parquet 1.3 MB] [rds 1.2 MB] [codebook 138 KB]
| Year | Downloads |
|---|---|
| 2023 | [csv 783 KB] [gpkg 251 KB] [parquet 414 KB] |
| 2017 | [csv 712 KB] [gpkg 251 KB] [parquet 396 KB] |
| 2011 | [csv 455 KB] [gpkg 251 KB] [parquet 255 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Liberia", years = 2023)
Python: import sage
sage.sage_load("Liberia", years=[2023])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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