2018–2026 · 3 elections · BGD
SAGE has legislative election results for Bangladesh from 3 elections between 2018 and 2026: 2018, 2024 and 2026. The smallest unit is the polling station. The 2026 election has 42,384 polling stations, and 95% 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 (unicameral) | 40,149 | 87% | 83,616,317 | yes | [map] | ||
| 2024 | Legislative (unicameral) | 41,907 | 94% | 48,974,130 | yes | [map] | ||
| 2026 | Legislative (unicameral) | 42,384 | 95% | 73,510,765 | 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 MB] [gpkg 17 MB] [parquet 26 MB] [rds 24 MB] [codebook 2.4 MB]
| Year | Downloads |
|---|---|
| 2026 | [csv 8.9 MB] [gpkg 7.8 MB] [parquet 7.2 MB] |
| 2024 | [csv 4.5 MB] [gpkg 4.8 MB] [parquet 4.5 MB] |
| 2018 | [csv 4.3 MB] [gpkg 4.4 MB] [parquet 4.2 MB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Bangladesh", years = 2026)
Python: import sage
sage.sage_load("Bangladesh", years=[2026])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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