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Moldova: election results by polling station

2014–2025 · 7 elections · MDA

SAGE has legislative and presidential election results for Moldova from 7 elections between 2014 and 2025: 2014, 2016, 2019, 2020, 2021, 2024 and 2025. The smallest unit is the polling station. The 2025 election has 2,274 polling stations, and 86% of them have a location. Unit boundaries are available for every election.

Elections

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.

YearElection typeVote typeRound Units% locatedVotes Polygons
2014Legislative (unicameral)2,07149%1,598,518yes[map]
2016PresidentialFirst Round12,07723%1,417,295yes[map]
PresidentialSecond Round22,07723%1,599,355yes
2019Legislative (unicameral)2,14180%1,416,359yes[map]
2020PresidentialFirst Round12,14393%1,348,719yes[map]
PresidentialSecond Round22,14393%1,633,621yes
2021Legislative (unicameral)2,15093%1,467,216yes[map]
2024PresidentialFirst Round12,21989%1,546,031yes[map]
PresidentialSecond Round22,21989%1,680,569yes
2025Legislative (unicameral)2,27486%1,578,723yes[map]

Download

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 2.8 MB] [gpkg 1.4 MB] [parquet 2.2 MB] [rds 3.3 MB] [codebook 413 KB]

YearDownloads
2025[csv 451 KB] [gpkg 265 KB] [parquet 257 KB]
2024[csv 394 KB] [gpkg 262 KB] [parquet 284 KB]
2021[csv 448 KB] [gpkg 260 KB] [parquet 249 KB]
2020[csv 395 KB] [gpkg 274 KB] [parquet 309 KB]
2019[csv 391 KB] [gpkg 234 KB] [parquet 230 KB]
2016[csv 298 KB] [gpkg 100 KB] [parquet 175 KB]
2014[csv 442 KB] [gpkg 146 KB] [parquet 187 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Moldova", years = 2025)

Python: import sage
        sage.sage_load("Moldova", years=[2025])

Sources

Citation

Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse

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