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Slovenia: election results by polling station

2012–2026 · 6 elections · SVN

SAGE has legislative and presidential election results for Slovenia from 6 elections between 2012 and 2026: 2012, 2014, 2017, 2018, 2022 and 2026. The smallest unit is the polling station. The 2026 election has 3,085 polling stations, and 96% 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
2012PresidentialFirst Round13,67893%817,772yes[map]
PresidentialSecond Round23,67393%710,830yes
2014Legislative (lower house)12,58327%874,291yes[map]
2017PresidentialFirst Round13,37692%749,462yes[map]
PresidentialSecond Round23,37392%711,121yes
2018Legislative (lower house)5,31458%891,097yes[map]
2022Legislative (lower house)14,17223%1,192,293yes[map]
PresidentialFirst Round13,79779%871,941yes
PresidentialSecond Round23,79879%897,841yes
2026Legislative (lower house)3,08596%1,153,007yes[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 7.1 MB] [gpkg 2.3 MB] [parquet 4.1 MB] [rds 5.5 MB] [codebook 255 KB]

YearDownloads
2026[csv 500 KB] [gpkg 307 KB] [parquet 292 KB]
2022[csv 2.6 MB] [gpkg 755 KB] [parquet 964 KB]
2018[csv 1.2 MB] [gpkg 313 KB] [parquet 355 KB]
2017[csv 572 KB] [gpkg 285 KB] [parquet 429 KB]
2014[csv 1.8 MB] [gpkg 399 KB] [parquet 426 KB]
2012[csv 424 KB] [gpkg 285 KB] [parquet 327 KB]

In R or Python:

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

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

Sources

Citation

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

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