2016–2026 · 3 elections · MAR
SAGE has legislative election results for Morocco from 3 elections between 2016 and 2026: 2016, 2021 and 2026. The smallest unit is the constituency. The 2026 election has 92 constituencies, and 96% 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 | |
|---|---|---|---|---|---|---|---|---|
| 2016 | Legislative (lower house) | 92 | 96% | 5,790,249 | yes | [map] | ||
| 2021 | Legislative (lower house) | 92 | 96% | 7,588,505 | yes | [map] | ||
| 2026 | Legislative (lower house) | 92 | 96% | 4,900,377 | yes | [map] |
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 63 KB] [gpkg 4.0 MB] [parquet 1.6 MB] [rds 36 MB] [codebook 109 KB]
| Year | Downloads |
|---|---|
| 2026 | [csv 23 KB] [gpkg 1.3 MB] [parquet 27 KB] |
| 2021 | [csv 21 KB] [gpkg 1.3 MB] [parquet 27 KB] |
| 2016 | [csv 21 KB] [gpkg 1.3 MB] [parquet 26 KB] |
In R or Python:
R: install.packages("sage")
sage::sage_load("Morocco", years = 2026)
Python: import sage
sage.sage_load("Morocco", years=[2026])
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (2026). Paper · Harvard Dataverse
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