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.
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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 | |
|---|---|---|---|---|---|---|---|---|
| 2001 | Legislative (unicameral) | 435 | 100% | 2,521,820 | yes | [map] | ||
| 2005 | Legislative (unicameral) | 433 | 100% | 2,638,263 | yes | [map] | ||
| 2009 | Legislative (unicameral) | 655 | 99% | 2,682,903 | yes | [map] | ||
| 2013 | Legislative (unicameral) | 648 | 99% | 2,836,029 | yes | [map] | ||
| Legislative (unicameral) | Sami Parliament | 7 | 0% | 9,919 | yes | |||
| 2017 | Legislative (unicameral) | 1,625 | 89% | 2,926,836 | yes | [map] | ||
| Legislative (unicameral) | Sami Parliament | 7 | 0% | 11,757 | yes | |||
| 2021 | Legislative (unicameral) | 1,669 | 89% | 2,984,187 | yes | [map] | ||
| Legislative (unicameral) | Sami Parliament | 7 | 0% | 13,834 | yes | |||
| 2025 | Legislative (unicameral) | 3,602 | 45% | 3,219,888 | yes | [map] | ||
| Legislative (unicameral) | Sami Parliament | 7 | 0% | 18,585 | yes |
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]
In R or Python:
R: install.packages("sage")
sage::sage_load("Norway", years = 2025)
Python: import sage
sage.sage_load("Norway", years=[2025])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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