2014–2019 · 2 elections · BWA
SAGE has legislative election results for Botswana from 2 elections between 2014 and 2019: 2014 and 2019. The smallest unit is the parliamentary constituency. The 2019 election has 57 parliamentary constituencies, and 100% of them have a location. Unit boundaries are available for every election.
[explore on the map] [download] [codebook] [all 134 countries]
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 (unicameral) | 57 | 100% | 688,082 | yes | [map] | ||
| 2019 | Legislative (unicameral) | 57 | 100% | 772,158 | 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 18 KB] [gpkg 1.7 MB] [parquet 1.1 MB] [rds 4.3 MB] [codebook 53 KB]
| Year | Downloads |
|---|---|
| 2019 | [csv 9 KB] [gpkg 846 KB] [parquet 19 KB] |
| 2014 | [csv 10 KB] [gpkg 846 KB] [parquet 19 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Botswana", years = 2019)
Python: import sage
sage.sage_load("Botswana", years=[2019])
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.