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Chile: election results by polling station

2013–2025 · 4 elections · CHL

SAGE has legislative and presidential election results for Chile from 4 elections between 2013 and 2025: 2013, 2017, 2021 and 2025. The smallest unit is the polling station. The 2025 election has 40,900 polling stations, and 98% 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
2013Legislative (lower house)41,34999%6,220,222yes[map]
PresidentialFirst Round141,34999%6,585,808yes
PresidentialSecond Round241,34999%5,582,270yes
2017Legislative (lower house)42,890100%5,996,972yes[map]
PresidentialFirst Round142,890100%6,577,217yes
PresidentialSecond Round242,890100%6,936,509yes
2021Legislative (lower house)46,639100%6,328,214yes[map]
PresidentialFirst Round146,639100%6,994,533yes
PresidentialSecond Round246,639100%8,237,185yes
2025Legislative (lower house)40,47199%10,718,031yes[map]
PresidentialFirst Round140,90098%12,975,034yes
PresidentialSecond Round240,90098%12,485,794yes

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 40 MB] [gpkg 33 MB] [parquet 22 MB] [rds 614 MB] [codebook 878 KB]

YearDownloads
2025[csv 11 MB] [gpkg 6.5 MB] [parquet 2.9 MB]
2021[csv 14 MB] [gpkg 7.8 MB] [parquet 3.2 MB]
2017[csv 8.8 MB] [gpkg 9.1 MB] [parquet 2.3 MB]
2013[csv 6.5 MB] [gpkg 9.4 MB] [parquet 1.9 MB]

In R or Python:

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

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

Sources

Notes

Citation

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

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