2014–2022 · 3 elections · DMA
SAGE has legislative election results for Dominica from 3 elections between 2014 and 2022: 2014, 2019 and 2022. The smallest unit is the polling station. The 2022 election has 202 polling stations, and 98% 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) | 250 | 99% | 41,084 | yes | [map] | ||
| 2019 | Legislative (unicameral) | 255 | 98% | 40,067 | yes | [map] | ||
| 2022 | Legislative (unicameral) | 202 | 98% | 18,480 | 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 31 KB] [gpkg 92 KB] [parquet 111 KB] [rds 83 KB] [codebook 51 KB]
| Year | Downloads |
|---|---|
| 2022 | [csv 10 KB] [gpkg 32 KB] [parquet 20 KB] |
| 2019 | [csv 12 KB] [gpkg 35 KB] [parquet 23 KB] |
| 2014 | [csv 12 KB] [gpkg 36 KB] [parquet 23 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Dominica", years = 2022)
Python: import sage
sage.sage_load("Dominica", years=[2022])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
← Denmark · All countries · Dominican Republic →