2018–2022 · 2 elections · LBN
SAGE has legislative election results for Lebanon from 2 elections between 2018 and 2022: 2018 and 2022. The smallest unit is the polling station. The 2022 election has 6,860 polling stations, and 100% of them have a location. Unit boundaries are available for every election.
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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.
| Year | Election type | Vote type | Round | Units | % located | Votes | Polygons | |
|---|---|---|---|---|---|---|---|---|
| 2018 | Legislative (unicameral) | Abroad | 2,772 | 0% | 45,463 | yes | [map] | |
| Legislative (unicameral) | 6,835 | 100% | 1,761,802 | yes | ||||
| 2022 | Legislative (unicameral) | Abroad | 5,141 | 0% | 132,859 | yes | [map] | |
| Legislative (unicameral) | 6,860 | 100% | 1,556,925 | yes |
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 1.4 MB] [gpkg 1.1 MB] [parquet 1.2 MB] [rds 1.6 MB] [codebook 238 KB]
| Year | Downloads |
|---|---|
| 2022 | [csv 794 KB] [gpkg 559 KB] [parquet 409 KB] |
| 2018 | [csv 622 KB] [gpkg 501 KB] [parquet 340 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Lebanon", years = 2022)
Python: import sage
sage.sage_load("Lebanon", years=[2022])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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