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Russia: election results by polling station

2000–2024 · 11 elections · RUS

SAGE has legislative and presidential election results for Russia from 11 elections between 2000 and 2024: 2000, 2003, 2004, 2007, 2008, 2011, 2012, 2016, 2018, 2021 and 2024. The smallest unit is the polling station. The 2024 election has 91,530 polling stations, and 97% of them have a location. Unit boundaries are available for 2012, 2016, 2018, 2021 and 2024.

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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
2000Presidential91,3330%70,661,939[map]
2003Legislative (lower house)94,8890%56,828,759[map]
Legislative (lower house)Other3160%6,889
2004PresidentialAbroad3450%266,090[map]
Presidential95,1000%66,238,591
PresidentialOther3340%24,200
2007Legislative (lower house)Abroad3580%301,742[map]
Legislative (lower house)95,5810%68,467,581
Legislative (lower house)Other2540%7,813
2008PresidentialAbroad3570%326,661[map]
Presidential95,9250%73,382,196
PresidentialOther3300%22,259
2011Legislative (lower house)Abroad3760%304,998[map]
Legislative (lower house)94,5730%64,302,204
Legislative (lower house)Other2760%8,050
2012Presidential91,768100%69,375,211yes[map]
2016Legislative (lower house)96,64788%51,641,635yes[map]
Legislative (lower house)Other2240%7,618yes
2018PresidentialAbroad3930%468,565yes[map]
Presidential97,03588%72,299,607yes
PresidentialOther2710%19,562yes
2021Legislative (lower house)96,31397%55,158,109yes[map]
2024PresidentialAbroad2860%313,777yes[map]
Presidential91,53097%73,562,108yes

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 119 MB] [gpkg 166 MB] [parquet 229 MB] [rds 843 MB] [codebook 2.7 MB]

YearDownloads
2024[csv 5.1 MB] [gpkg 34 MB] [parquet 5.1 MB]
2021[csv 15 MB] [gpkg 35 MB] [parquet 6.4 MB]
2018[csv 12 MB] [gpkg 36 MB] [parquet 11 MB]
2016[csv 19 MB] [gpkg 36 MB] [parquet 12 MB]
2012[csv 9.2 MB] [gpkg 36 MB] [parquet 9.0 MB]
2011[csv 8.3 MB] [gpkg 2.4 MB] [parquet 7.3 MB]
2008[csv 6.6 MB] [gpkg 2.4 MB] [parquet 8.8 MB]
2007[csv 11 MB] [gpkg 834 KB] [parquet 6.8 MB]
2004[csv 5.7 MB] [gpkg 832 KB] [parquet 6.8 MB]
2003[csv 19 MB] [gpkg 826 KB] [parquet 8.3 MB]
2000[csv 8.2 MB] [gpkg 793 KB] [parquet 6.6 MB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Russia", years = 2024)

Python: import sage
        sage.sage_load("Russia", years=[2024])

Sources

Notes

Citation

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.

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