2014–2025 · 6 elections · ROU
SAGE has legislative and presidential election results for Romania from 6 elections between 2014 and 2025: 2014, 2016, 2019, 2020, 2024 and 2025. The smallest unit is the polling station. The 2025 election has 19,944 polling stations, and 95% of them have a location. Unit boundaries are available for 2014, 2019, 2020, 2024 and 2025.
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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 | |
|---|---|---|---|---|---|---|---|---|
| 2014 | Presidential | First Round | 1 | 18,847 | 98% | 9,485,340 | yes | [map] |
| Presidential | Second Round | 2 | 18,847 | 98% | 11,553,152 | yes | ||
| 2016 | Legislative (lower house) | 19,043 | 0% | 6,963,696 | [map] | |||
| 2019 | Presidential | First Round | 1 | 19,583 | 96% | 9,193,341 | yes | [map] |
| Presidential | Second Round | 2 | 19,583 | 96% | 9,833,395 | yes | ||
| 2020 | Legislative (lower house) | 19,550 | 96% | 5,542,909 | yes | [map] | ||
| 2024 | Legislative (lower house) | 19,918 | 95% | 9,255,921 | yes | [map] | ||
| Presidential | First Round | 1 | 19,918 | 95% | 9,238,259 | yes | ||
| 2025 | Presidential | First Round | 1 | 19,944 | 95% | 9,426,436 | 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 MB] [gpkg 7.6 MB] [parquet 16 MB] [rds 23 MB] [codebook 1.1 MB]
In R or Python:
R: install.packages("sage")
sage::sage_load("Romania", years = 2025)
Python: import sage
sage.sage_load("Romania", years=[2025])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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