To provide national and subnational estimates of SDG indicator 7.1.1, the proportion of the population with access to electricity, produced using global open data.

To provide urban center level estimates of the proportion of population that has convenient access to public transportation.

To provide national and subnational estimates of SDG indicator 9.1.1, which measures the proportion of the rural population who live within 2 kilometers of an all-season road.

To provide urban center level estimates of the average share of the built-up area of cities that is open space for public use for all.

To provide a data set that allows users to understand how slow-onset climate change impacts on water availability and crop productivity, coupled with sea-level rise and storm surge, may affect the future population distribution and climate-related internal migration in low to middle income countries.

To provide a high-resolution, longitudinal global data set of extreme urban heat events and urban heat exposure.

To provide subnational (county) population projection scenarios for the United States essential for understanding long-term demographic changes, planning for the future, and decision-making in a variety of applications.

To provide a polygon representation of urban areas with city or agglomeration name and time series population estimates.

To describe changing population distribution and growth in Latin America and the Caribbean using spatially consistent and comparable units at a spatial resolution suitable to regional change analysis.

To provide high-resolution population and urban classification data for India for 2011.

To provide a vector (point) version of the input administrative units used in GPWv4 with population estimates, densities, 2010 basic demographic characteristics, and administrative name, area, and data context for use in data integration.

To provide a raster representation of nation-states in GPWv4 for use in aggregating population data.

To provide data that can be used in independent spatial statistical analyses, construction of development-related indices, or in combination with remote sensing data in order to identify spatio-temporal patterns and/or changes in different demographic categories, such as male, female, urban, rural, level of education, etc.

To provide populated place (point) data with consistent population estimates.

To provide a global data set of point locations and attributes describing nuclear power plants and reactors.

To provide an easily accessible, corrected data set of polygons for hazardous waste sites in the United States which can be used to identify nearby populations and assess their potential risk.

To permit cartographic display of countries and territories that exactly match the GRUMPv1 population surfaces

To provide populated place (point) data with consistent population estimates.

To permit cartographic display of coastlines that exactly match the GRUMPv1 population surfaces.

To provide the ATSDR polygon data set of hazardous waste sites in the United States, Puerto Rico, and other territories which can be used to identify nearby populations and assess their potential risk.