SAGE › Countries › Panama

Panama: election results by electoral circuit

2004–2024 · 5 elections · PAN

SAGE has legislative and presidential election results for Panama from 5 elections between 2004 and 2024: 2004, 2009, 2014, 2019 and 2024. The smallest unit is the electoral circuit. The 2024 election has 39 electoral circuits, and 95% 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)4195%1,453,088yes[map]
Presidential4395%1,499,047yes
2009Legislative (unicameral)3995%1,504,355yes[map]
PresidentialAbroad10%510yes
Presidential3995%1,585,917yes
2014Legislative (unicameral)3995%1,701,082yes[map]
PresidentialAbroad10%936yes
Presidential3995%1,853,266yes
2019Legislative (unicameral)3995%1,807,440yes[map]
PresidentialAbroad10%1,352yes
Presidential3995%1,963,425yes
2024Legislative (unicameral)3995%2,139,628yes[map]
PresidentialAbroad10%4,104yes
Presidential3995%2,271,075yes

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 58 KB] [gpkg 12 MB] [parquet 3.7 MB] [rds 211 MB] [codebook 226 KB]

YearDownloads
2024[csv 14 KB] [gpkg 2.5 MB] [parquet 21 KB]
2019[csv 13 KB] [gpkg 2.5 MB] [parquet 20 KB]
2014[csv 11 KB] [gpkg 2.5 MB] [parquet 20 KB]
2009[csv 12 KB] [gpkg 2.5 MB] [parquet 20 KB]
2004[csv 12 KB] [gpkg 2.5 MB] [parquet 20 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Panama", years = 2024)

Python: import sage
        sage.sage_load("Panama", years=[2024])

Sources

Notes

Citation

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

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