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Norway: election results by municipality

2001–2025 · 7 elections · NOR

SAGE has legislative election results for Norway from 7 elections between 2001 and 2025: 2001, 2005, 2009, 2013, 2017, 2021 and 2025. The smallest unit is the municipality (<= 2013), electoral district (>= 2017). The 2025 election has 3,602 units, and 45% 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
2001Legislative (unicameral)435100%2,521,820yes[map]
2005Legislative (unicameral)433100%2,638,263yes[map]
2009Legislative (unicameral)65599%2,682,903yes[map]
2013Legislative (unicameral)64899%2,836,029yes[map]
Legislative (unicameral)Sami Parliament70%9,919yes
2017Legislative (unicameral)1,62589%2,926,836yes[map]
Legislative (unicameral)Sami Parliament70%11,757yes
2021Legislative (unicameral)1,66989%2,984,187yes[map]
Legislative (unicameral)Sami Parliament70%13,834yes
2025Legislative (unicameral)3,60245%3,219,888yes[map]
Legislative (unicameral)Sami Parliament70%18,585yes

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 1.9 MB] [gpkg 231 MB] [parquet 270 MB] [rds 3.4 GB] [codebook 168 KB]

YearDownloads
2025[csv 688 KB] [gpkg 20 MB] [parquet 254 KB]
2021[csv 377 KB] [gpkg 40 MB] [parquet 177 KB]
2017[csv 346 KB] [gpkg 35 MB] [parquet 175 KB]
2013[csv 143 KB] [gpkg 34 MB] [parquet 88 KB]
2009[csv 135 KB] [gpkg 34 MB] [parquet 78 KB]
2005[csv 83 KB] [gpkg 34 MB] [parquet 62 KB]
2001[csv 89 KB] [gpkg 34 MB] [parquet 65 KB]

In R or Python:

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

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

Sources

Notes

Citation

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

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