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Japan: election results by municipality

2009–2026 · 7 elections · JPN

SAGE has legislative election results for Japan from 7 elections between 2009 and 2026: 2009, 2012, 2014, 2017, 2021, 2024 and 2026. The smallest unit is the municipality. The 2026 election has 1,926 municipalities, 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
2009Legislative (lower house)Proportional Representation2,068100%71,100,129yes[map]
Legislative (lower house)Single-Member District2,037100%70,581,680yes
2012Legislative (lower house)Proportional Representation1,995100%60,179,888yes[map]
Legislative (lower house)Single-Member District1,994100%59,626,568yes
2014Legislative (lower house)Proportional Representation1,983100%53,334,447yes[map]
Legislative (lower house)Single-Member District1,983100%52,939,790yes
2017Legislative (lower house)Proportional Representation2,041100%56,932,456yes[map]
Legislative (lower house)Single-Member District1,999100%55,607,437yes
2021Legislative (lower house)Proportional Representation1,995100%57,465,979yes[map]
Legislative (lower house)Single-Member District1,996100%57,667,475yes
2024Legislative (lower house)Proportional Representation1,925100%54,549,720yes[map]
Legislative (lower house)Single-Member District1,925100%54,261,878yes
2026Legislative (lower house)Proportional Representation1,926100%57,259,957yes[map]
Legislative (lower house)Single-Member District1,926100%56,446,726yes

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 2.8 MB] [gpkg 2.0 GB] [parquet 2.1 GB] [rds 12.5 GB] [codebook 2.2 MB]

YearDownloads
2026[csv 428 KB] [gpkg 308 MB] [parquet 256 KB]
2024[csv 418 KB] [gpkg 307 MB] [parquet 277 KB]
2021[csv 408 KB] [gpkg 340 MB] [parquet 263 KB]
2017[csv 382 KB] [gpkg 340 MB] [parquet 265 KB]
2014[csv 380 KB] [gpkg 230 MB] [parquet 253 KB]
2012[csv 425 KB] [gpkg 230 MB] [parquet 262 KB]
2009[csv 395 KB] [gpkg 231 MB] [parquet 263 KB]

In R or Python:

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

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

Sources

Citation

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

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