USAID DHS Spatial Data Repository

Principal Investigator(s):  View help for Principal Investigator(s) USAID

Version:  View help for Version V1

Name File Type Size Last Modified
  geospatial_covariates 03/26/2025 12:02:PM
  indicator_data 03/26/2025 12:02:PM
  modeled_surfaces 03/26/2025 12:03:PM
  population_estimates 03/26/2025 12:04:PM
  survey_boundaries 03/26/2025 12:05:PM
  workshop_materials 03/26/2025 12:05:PM
_WEBPAGE-2025-03-20.htm text/html 17.4 KB 03/26/2025 07:44:AM
dhs_countries.csv text/csv 1.5 KB 03/20/2025 07:12:AM
methodology_usaid_dhs_sdr.htm text/html 31.4 KB 03/21/2025 12:14:PM

Project Citation: 

USAID. USAID DHS Spatial Data Repository. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-03-26. https://doi.org/10.3886/E224321V1

Project Description

Project Title:  View help for Project Title USAID DHS Spatial Data Repository
Summary:  View help for Summary This collection consists of geospatial data layers and summary data at the country and country sub-division levels that are part of USAID's Demographic Health Survey Spatial Data Repository. This collection includes geographically-linked health and demographic data from the DHS Program and the U.S. Census Bureau for mapping in a geographic information system (GIS). The data includes indicators related to: fertility, family planning, maternal and child health, gender, HIV/AIDS, literacy, malaria, nutrition, and sanitation.

Each set of files is associated with a specific health survey for a given year for over 90 different countries that were part of the following surveys:
  • Demographic Health Survey (DHS)
  • Malaria Indicator Survey (MIS)
  • Service Provisions Assessment (SPA)
  • Other qualitative surveys (OTH)
Individual files are named with identifiers that indicate: country, survey year, survey, and in some cases the name of a variable or indicator. A list of the two-letter country codes is included in a CSV file.

Datasets are subdivided into the following folders:
  • Survey boundaries: polygon shapefiles of administrative subdivision boundaries for countries used in specific surveys.
  • Indicator data: polygon shapefiles and geodatabases of countries and subdivisions with 25 of the most common health indicators collected in the DHS. Estimates generated from survey data.
  • Modeled surfaces: geospatial raster files that represent gridded population and health indicators generated from survey data, for several countries.
  • Geospatial covariates: CSV files that link survey cluster locations to ancillary data (known as covariates) that contain data on topics including population, climate, and environmental factors.
  • Population estimates: spreadsheets and polygon shapefiles for countries and subdivisions with 5-year age/sex group population estimates and projections for 2000-2020 from the US Census Bureau, for designated countries in the PEPFAR program.
  • Workshop materials: a tutorial with sample data for learning how to map health data using DHS SDR datasets with QGIS.
Documentation that is specific to each dataset is included in the subfolders, and a methodological summary for all of the datasets is included in the root folder as an HTML file. File-level metadata is available for most files.

Countries for which data included in the repository include:

Afghanistan, Albania, Angola, Armenia, Azerbaijan, Bangladesh, Benin, Bolivia, Botswana, Brazil, Burkina Faso, Burundi, Cape Verde, Cambodia, Cameroon, Central African Republic, Chad, Colombia, Comoros, Congo, Congo (Democratic Republic of the), Cote d'Ivoire, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Eswatini (Swaziland), Ethiopia, Gabon, Gambia, Ghana, Guatemala, Guinea, Guyana, Haiti, Honduras, India, Indonesia, Jordan, Kazakhstan, Kenya, Kyrgyzstan, Lesotho, Liberia, Madagascar, Malawi, Maldives, Mali, Mauritania, Mexico, Moldova, Morocco, Mozambique, Myanmar, Namibia, Nepal, Nicaragua, Niger, Nigeria, Pakistan, Papua New Guinea, Paraguay, Peru, Philippines, Russia, Rwanda, Samoa, Sao Tome and Principe, Senegal, Sierra Leone, South Africa, Sri Lanka, Sudan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe
Original Distribution URL:  View help for Original Distribution URL https://spatialdata.dhsprogram.com/home/

Scope of Project

Subject Terms:  View help for Subject Terms demographic characteristics; demographic statistics; health; survey; gis; world population
Geographic Coverage:  View help for Geographic Coverage World
Time Period(s):  View help for Time Period(s) 1984 – 2023
Universe:  View help for Universe Countries that participated in DHS surveys
Data Type(s):  View help for Data Type(s) aggregate data; census/enumeration data; geographic information system (GIS) data; survey data


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Published Versions

V1 [2025-03-26]

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