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Finland: election results by voting districts

2003–2024 · 9 elections · FIN

SAGE has legislative and presidential election results for Finland from 9 elections between 2003 and 2024: 2003, 2007, 2011, 2012, 2015, 2018, 2019, 2023 and 2024. The smallest unit is the voting districts (2019), municipality. The 2024 election has 1,756 units, and 100% 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
2003Legislative (unicameral)446100%2,791,757yes[map]
2007Legislative (unicameral)2,601100%2,771,236yes[map]
2011Legislative (unicameral)2,351100%2,939,571yes[map]
2012PresidentialFirst Round12,326100%3,060,771yes[map]
PresidentialSecond Round22,327100%2,879,753yes
2015Legislative (unicameral)2,142100%2,968,462yes[map]
2018Presidential1,990100%2,993,668yes[map]
2019Legislative (unicameral)1,943100%3,081,916yes[map]
2023Legislative (unicameral)1,808100%3,095,604yes[map]
2024PresidentialFirst Round11,756100%3,243,451yes[map]
PresidentialSecond Round21,756100%3,052,078yes

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 2.9 MB] [gpkg 33 MB] [parquet 18 MB] [rds 150 MB] [codebook 390 KB]

YearDownloads
2024[csv 273 KB] [gpkg 1.0 MB] [parquet 255 KB]
2023[csv 356 KB] [gpkg 1.0 MB] [parquet 232 KB]
2019[csv 439 KB] [gpkg 5.8 MB] [parquet 282 KB]
2018[csv 226 KB] [gpkg 1.0 MB] [parquet 208 KB]
2015[csv 362 KB] [gpkg 649 KB] [parquet 242 KB]
2012[csv 351 KB] [gpkg 2.2 MB] [parquet 345 KB]
2011[csv 412 KB] [gpkg 1.6 MB] [parquet 272 KB]
2007[csv 374 KB] [gpkg 4.5 MB] [parquet 204 KB]
2003[csv 80 KB] [gpkg 3.8 MB] [parquet 112 KB]

In R or Python:

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

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

Sources

Notes

Citation

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

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