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Greenland: election results by settlements

2005–2026 · 13 elections · GRL

SAGE has danish parliament and legislative election results for Greenland from 13 elections between 2005 and 2026: 2005, 2007, 2009, 2011, 2013, 2014, 2015, 2018, 2019, 2021, 2022, 2025 and 2026. The smallest unit is the settlements. The 2026 election has 73 settlementses, and 100% of them have a location. Unit boundaries are available for every election.

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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
2005Legislative (unicameral)8396%28,885yes[map]
2007Danish Parliament74100%25,105yes[map]
2009Legislative (unicameral)8396%28,275yes[map]
2011Danish Parliament73100%22,498yes[map]
2013Legislative (unicameral)75100%29,873yes[map]
2014Legislative (unicameral)74100%29,201yes[map]
2015Danish Parliament71100%20,206yes[map]
2018Legislative (unicameral)72100%29,003yes[map]
2019Danish Parliament71100%19,990yes[map]
2021Legislative (unicameral)72100%26,528yes[map]
2022Danish Parliament72100%19,256yes[map]
2025Legislative (unicameral)72100%28,298yes[map]
2026Danish Parliament73100%20,973yes[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 75 KB] [gpkg 52 MB] [parquet 7.4 MB] [rds 287 MB] [codebook 233 KB]

YearDownloads
2026[csv 5 KB] [gpkg 4.2 MB] [parquet 12 KB]
2025[csv 7 KB] [gpkg 4.2 MB] [parquet 12 KB]
2022[csv 5 KB] [gpkg 4.2 MB] [parquet 12 KB]
2021[csv 8 KB] [gpkg 4.2 MB] [parquet 12 KB]
2019[csv 6 KB] [gpkg 4.2 MB] [parquet 12 KB]
2018[csv 8 KB] [gpkg 4.2 MB] [parquet 13 KB]
2015[csv 5 KB] [gpkg 4.2 MB] [parquet 12 KB]
2014[csv 8 KB] [gpkg 4.2 MB] [parquet 13 KB]
2013[csv 8 KB] [gpkg 4.2 MB] [parquet 13 KB]
2011[csv 5 KB] [gpkg 4.2 MB] [parquet 11 KB]
2009[csv 9 KB] [gpkg 4.2 MB] [parquet 13 KB]
2007[csv 5 KB] [gpkg 4.2 MB] [parquet 12 KB]
2005[csv 9 KB] [gpkg 4.2 MB] [parquet 13 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Greenland", years = 2026)

Python: import sage
        sage.sage_load("Greenland", years=[2026])

Sources

Citation

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

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