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Paraguay: election results by polling station

2003–2018 · 4 elections · PRY

SAGE has legislative and presidential election results for Paraguay from 4 elections between 2003 and 2018: 2003, 2008, 2013 and 2018. The smallest unit is the polling station. The 2018 election has 21,206 polling stations, and 99% 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
2003Legislative (lower house)8,401100%1,476,608yes[map]
Presidential8,401100%1,499,200yes
2008Legislative (lower house)14,306100%1,768,722yes[map]
Presidential14,306100%1,807,824yes
2013Legislative (lower house)17,460100%2,243,721yes[map]
Presidential17,520100%2,277,734yes
2018Legislative (lower house)21,016100%2,371,607yes[map]
Presidential21,20699%2,463,441yes

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 12 MB] [gpkg 18 MB] [parquet 19 MB] [rds 309 MB] [codebook 134 KB]

YearDownloads
2018[csv 5.0 MB] [gpkg 5.5 MB] [parquet 967 KB]
2013[csv 3.6 MB] [gpkg 4.7 MB] [parquet 736 KB]
2008[csv 2.5 MB] [gpkg 4.6 MB] [parquet 567 KB]
2003[csv 1.4 MB] [gpkg 3.0 MB] [parquet 350 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Paraguay", years = 2018)

Python: import sage
        sage.sage_load("Paraguay", years=[2018])

Sources

Citation

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

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