SAGE › Countries › Luxembourg

Luxembourg: election results by municipality

2004–2023 · 5 elections · LUX

SAGE has legislative election results for Luxembourg from 5 elections between 2004 and 2023: 2004, 2009, 2013, 2018 and 2023. The smallest unit is the municipality. The 2023 election has 100 municipalities, 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
2004Legislative (unicameral)Candidate Vote118100%1,399,746yes[map]
Legislative (unicameral)List Vote118100%1,689,208yes
2009Legislative (unicameral)Candidate Vote116100%1,427,767yes[map]
Legislative (unicameral)List Vote116100%1,597,187yes
2013Legislative (unicameral)Candidate Vote106100%1,314,956yes[map]
Legislative (unicameral)List Vote106100%1,961,736yes
2018Legislative (unicameral)Candidate Vote102100%1,274,812yes[map]
Legislative (unicameral)List Vote102100%2,255,157yes
2023Legislative (unicameral)Candidate Vote100100%1,291,031yes[map]
Legislative (unicameral)List Vote100100%2,472,649yes

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 140 KB] [gpkg 2.0 MB] [parquet 1.1 MB] [rds 4.3 MB] [codebook 105 KB]

YearDownloads
2023[csv 26 KB] [gpkg 391 KB] [parquet 24 KB]
2018[csv 29 KB] [gpkg 396 KB] [parquet 23 KB]
2013[csv 31 KB] [gpkg 401 KB] [parquet 23 KB]
2009[csv 30 KB] [gpkg 422 KB] [parquet 25 KB]
2004[csv 28 KB] [gpkg 426 KB] [parquet 25 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Luxembourg", years = 2023)

Python: import sage
        sage.sage_load("Luxembourg", years=[2023])

Sources

Citation

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

← Lithuania · All countries · Madagascar →