A research project at AidData

Integrate satellite, conflict, aid, economic, health and more subnational data, from anywhere in the world, into a single simple-to-use file compatible with Excel, STATA, or your own favorite program.

Get Started

Want to use spatial data, but don't have experience using ArcGIS, Q, or other programs for satellite imagery or spatial data analysis? Our Quick Start Guide walks you through a simple spreadsheet-based analysis using data downloaded from GeoQuery, designed to be completed in under 10 minutes.


Researchers at William and Mary

GeoQuery is a part of AidData, a research lab at William and Mary. With one foot in applied practice and the other academia, we are able to provide open access to our data thanks to the contributions of full-time GIS analysts and engineers, faculty members, and students from nearly all walks of life. Click here to meet our students, or head over to AidData to see our faculty and staff.

Applied Practitioners

We've conducted analyses with the same data available on this site for dozens of organizations, including the World Bank, GEF, KFW, USAID, and more. As a part of these and other projects, AidData staff and faculty have been creating and integrating geospatial data for over 10 years, and every datasets that is included in GeoQuery is extensively vetted for accuracy.

Committed to Transparency

Every line of our code is open source, and we provide human readable documentation on every procedure and step GeoQuery uses to process data. We also regularly present our work at conferences, publish in peer-reviewed outlets, and provide all of the raw data used in GeoQuery for download by experts.


Every request you make will return an email with a single CSV where every row is a geographic boundary and every column is a requested dataset. This file can be read by nearly all software packages, and we also include a full PDF of metadata - you can download an example here. All requests are made accessible at a unique, permanent URL to promote research replication and data sharing. Want the technical details? Learn more about how it all works here.

Select Datasets in GeoQuery

International Aid Multiple data sources from the AidData research lab, including World Bank and Chinese development projects, country-specific (e.g. Afghanistan, Nepal) datasets.
Population and the EnvironmentPopulation Density and Counts (CIESIN), Slope and Elevation (NASA), Protected Areas (IUCN), NDVI (UMD GLCF), Land Cover (European Space Agency, NASA), Precipitation and Temperature (UDEL)
Conflict and HealthConflict deaths (UCDP), Conflict Events (ACLED), Lootable Gold Deposits (GOLDATA), Child Mortality (Stanford), Ozone Concentration and Particulate Matter (TM5-FASST).
Economic DevelopmentNighttime Lights (DMSP; VIIRS), On-shore petroleum (PRIO), Gemstone Deposits (GEMDATA), Gross Domestic Product (CIRES), Drug Cultivation Sites (DRUGDATA)
Access to InfrastructureDistance to Coastal features and Water (GSHHG), Distances to Roads (gRoads, CIESIN), Distance to country borders (GADM), Travel Time to Major Cities (JRC)



For advanced users of spatial data, we offer access to both our raw measurement datasets and geographic boundary files. New to spatial data? Head to our GeoQuery tool for a simple access to the same data!


Unabridged, unedited and uncensored commentary from the lab. Frequently technical. Sometimes helpful.
A blog for a world that keeps on turning.

Summer Progress – New Data & More

Things get quiet over the summer in academia, but we’ve been making strong progress on GeoQuery features, data and more.  A few things to look forward to this coming Fall: -> A new release of the GeoBoundaries dataset, including full integration with the GeoQuery tool -> New datasets for precipitation and temperature extending up to […]

Revolution #18: “Seemingly Simple Task”

About 2 years ago, I stumbled on a StackOverflow post that really summed up much of the experience we’re having with GeoQuery. After 2 years and 4 months (as of this post) – no accepted answer has been posted. I am trying to do a seemingly simple task — extract mean pixel values from a […]

Revolution #16: Breaking Boundaries

Written by Rachel Oberman and Seth Goodman Statistics By Rachel Oberman Maps By Leigh Seitz, John Napoli, Josh Panganiban, Graham Melville, Grace Grimsley, Lauren Hobbs Brave explorer and want to jump straight to the data? Check out our early alpha soft launch at: Every Sunday, nine students pile into a tiny lab in Williamsburg, Virginia […]