To provide spatially-explicit data that relatively rank global land suitability referred to as Development Potential Indices (DPIs) for 13 sectors related to renewable energy, fossil fuels, mining and agriculture as an aid to conservation priority setting.

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 future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind.

To provide areas in the coastal zone of West Africa that may be particularly exposed to climate stressors owing to high population growth rates.

To provide areas in West Africa that may be particularly exposed to climate stressors owing to future high population growth.

To provide areas in the coastal zone of West Africa that may be particularly exposed to climate stressors owing to high population density.

To provide spatially explicit, historic, city-level population data from 3700 BC to AD 2000 for improved understanding of contemporary and historical urbanization trends.

To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals.

To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers, as raster data to facilitate data integration.

To provide estimates of population counts by age and sex for the year 2010, consistent with national censuses and population registers, as raster data to facilitate data integration.

To provide estimates of population count for the years 2000, 2005, 2010, 2015, and 2020, consistent with national censuses and population registers, as raster data to facilitate data integration.

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 estimates of population count for the years 2000, 2005, 2010, 2015, and 2020, consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals.

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 back-cast population count estimates at 30 arc-second (~1 km) resolution.

To provide back-cast population density estimates at 30 arc-second (~1 km) resolution.

To provide gridded demographic data, including characteristics of age, race, ethnicity, and housing, for the United States and Puerto Rico for data integration.

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