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Malaysia: election results by polling district

2008–2022 · 4 elections · MYS

SAGE has legislative election results for Malaysia from 4 elections between 2008 and 2022: 2008, 2013, 2018 and 2022. The smallest unit is the polling district. The 2022 election has 38,349 polling districts, 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
2008Legislative (lower house)21,82289%7,738,651yes[map]
Legislative (lower house)Postal2220%206,030yes
2013Legislative (lower house)Early8490%211,833yes[map]
Legislative (lower house)25,279100%10,723,165yes
Legislative (lower house)Postal2220%119,889yes
2018Legislative (lower house)Early9060%229,047yes[map]
Legislative (lower house)28,112100%11,681,039yes
Legislative (lower house)Postal2220%172,893yes
2022Legislative (lower house)Early9660%210,559yes[map]
Legislative (lower house)38,349100%15,101,287yes
Legislative (lower house)Postal2220%302,134yes

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 5.2 MB] [gpkg 12 MB] [parquet 12 MB] [rds 13 MB] [codebook 724 KB]

YearDownloads
2022[csv 2.0 MB] [gpkg 3.5 MB] [parquet 1.1 MB]
2018[csv 1.3 MB] [gpkg 3.2 MB] [parquet 917 KB]
2013[csv 1.0 MB] [gpkg 3.1 MB] [parquet 805 KB]
2008[csv 790 KB] [gpkg 2.4 MB] [parquet 707 KB]

In R or Python:

R:      install.packages("sage")
        sage::sage_load("Malaysia", years = 2022)

Python: import sage
        sage.sage_load("Malaysia", years=[2022])

Sources

Notes

Citation

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

Some of these data come from other researchers’ collections; see please also cite.

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