SAGE collects lower-house parliamentary and presidential election returns for 131 countries at the smallest unit each electoral authority publishes, which for most countries is a polling station with fewer than a thousand voters. It geocodes the units and harmonizes party and candidate identifiers across languages. In total the data contain roughly ten billion votes cast across more than eight million units.
Now archived and citable at Harvard Dataverse: doi.org/10.7910/DVN/YGJR1L.
[download the dataset] [explore on the map] [paper] [R/Python packages] [codebook] [build log]
Tabular (Parquet), partitioned by country and year, with coordinates (about 1 GB); this is what most analyses use. Polygons (GeoParquet), one file per country, for choropleth mapping. Companion R and Python packages load a country-and-year slice in one line:
R: remotes::install_github("noahdasanaike/sage", subdir = "sage_R")
sage_load("Germany", years = 2021)
Python: pip install "git+https://github.com/noahdasanaike/sage.git#subdirectory=sage_python"
import sage; sage.sage_load("Germany", years=2021)
The codebook documents per-country coverage, sources, and every
column. R users who want polygon geometry joined to vote rows inline can load the native
sf objects; see the code repository.
Releases happen periodically as countries, election years, and corrections are added. Sign up for announcements:
Everything at once: the full tabular dataset (all countries and years, votes and coordinates)
as a single Parquet file, sage.parquet (~830 MB), readable with Arrow, DuckDB, GeoPandas, pandas, or
R arrow. Polygon boundaries are not in this file; use the per-country bundles below or the
polygons/ tree for geometry.
By country: each country offers a bundle (a ZIP of the Parquet vote partitions
together with the GeoParquet polygon boundaries) and the native R sf object, with geometry joined
to the vote rows. The canonical, citable copy of the entire dataset is the Harvard Dataverse deposit.
[] 131 countries
[] [codebook] [country-level coverage]
[]
Added 2025 national elections (Germany, Vanuatu, Ecuador, Australia, Philippines, Portugal, Singapore, Poland, Kosovo, Bolivia, Norway, Moldova, Argentina, Netherlands, Kyrgyzstan) and 2026 national elections (Portugal, Japan, Thailand, Nepal, Colombia, Slovenia, Denmark, Hungary, Peru, Bulgaria, Cyprus, Armenia, Kosovo); expanded Taiwan to full legislative coverage; switched Malaysia to per-election parliamentary boundaries; refreshed the 2024 United States presidential precincts.
[]
v1.0 (June 30, 2026): Public release; conditionally accepted at Nature Scientific
Data
v0.895 (September 30th, 2025): Fixed Croatian vote-share aggregation
v0.89 (August 25th, 2025): Fixed party names in Chile and Slovakia; minor party name
adjustments elsewhere
v0.88 (July 14th, 2025): Added 2025 South Korean presidential election; Fixed Danish
eligible voter and turnout calculation
v0.875 (July 9th, 2025): Added Portugal parish boundaries back to 1976, fixed
independent candidate reference
v0.87 (May 30th, 2025): Added elections for the Kyrgyz Republic, Liechtenstein,
Mauritania, Uganda, making 110 total countries
v0.86 (May 6th, 2025): Added registered voter turnout in the United States for 2012 to
2020
v0.85 (April 5th, 2025): Redid all of the United States; presidential results only from
2008 to 2024
v0.81 (March 24th, 2025): Redid all of Greece from scratch, and added 2023
elections
v0.80 (March 17th, 2025): Added registered/eligible voter counts to elections in
Canada, Denmark, Finland, Hungary
v0.78 (March 12th, 2025): Changed party columns corresponding to candidates in Myanmar
to candidate columns
v0.75 (February 4th, 2025): Added turnout for most Russian elections
v0.7 (January 24th, 2025): Fixed Bosnia and Herzegovina Thiessen polygons
v0.6 (January 15th, 2025): Fixed bug in Thiessen generation code affecting polygon
edges
v0.5 (January 9th, 2025): Added 2024 election results for multiple countries
v0.4 (January 7th, 2025): Added 2014 and 2018 Hungarian elections
v0.3 (December 20th, 2024): Added Icelandic presidential elections
v0.2 (December 8th, 2024): Fixed overseas France geometry (meridian Thiessen
issues)
v0.1 (September 5th, 2024): Fixed vote count totals for Uruguay and the Solomon
Islands
v0.0 (August 6th, 2024): Initial completion of the data
If you use SAGE, please cite both the dataset and the accompanying paper:
Dasanaike, Noah. The Small-Area Global Elections (SAGE) Dataset. Harvard Dataverse, https://doi.org/10.7910/DVN/YGJR1L (2026).
Dasanaike, Noah. “The Small-Area Global Elections (SAGE) Dataset.” Scientific Data (forthcoming).
Nearly every SAGE country was scraped from scratch from official government sources, then geocoded and harmonized here. Several, though, rest on data that other researchers gathered and released first. If your analysis uses one of these countries, please cite the underlying source alongside SAGE.
SAGE is one of several efforts to make election returns comparable across places. These are worth knowing about, and in some cases are a better fit than SAGE for a given question: