To provide country-level estimates of populations and land areas in river delta- and non-delta contexts for the years 1990, 2000, 2014, and 2015 for 246 statistical areas, focusing on greater-risk zones using the global extent of low elevation zones contiguous to the coast bounded by either 5 meters or 10 meters.

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 tabular data to researchers without GIS capabilities who need data on population and land area by country across a range of physical characteristics. These include measures such as the number of persons living within coastal zones, the total area within a specific elevation strata, or the number of persons living within different climate zones.

To provide quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

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 estimates of urban and rural populations and land areas for the years 1990, 2000, 2015 for 234 countries and statistical areas with contiguous coastal elevations of less than or equal to 5m above sea level, 5-10m above sea level, and national totals using multiple updated data sources for comparative analysis.

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

To provide quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

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 quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

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

To assist in the country selection process for the Millennium Challenge Corporation (MCC) by providing indicators of natural resource protection and child health that complement the governance, social, and economic indicators used by MCC as country selection criteria.

To provide data that can be used in land cover and land use change (LCLUC) studies, agricultural applications, and to assist with policy-making in regards to sustainable agricultural intensification.

To provide high spatial resolution estimates of global urban extent derived from global 30m Landsat satellite data for the target year 2010 and a companion dataset to the Global Man-made Impervious Surface (GMIS) dataset.

To provide high spatial resolution estimates of global man-made imperviousness for the target year 2010, derived from global 30m Landsat satellite data and a companion dataset to the Global Human Built-up And Settlement Extent (HBASE) dataset.

To provide global gridded Gross Domestic Product (GDP) data in both Market Exchange Rate (MER) and Purchasing Power Parity (PPP) to be used for socioeconomic, environmental, climate, and other related research.