To provide gridded demographic data, including characteristics of income, education, and housing, for metropolitan statistical areas at a finer resolution than is available in the 30 arc-second grids used for the United States as a whole.

To provide gridded demographic data, including characteristics of income, education, and housing, for metropolitan statistical areas at a finer resolution than is available in the 30 arc-second grids used for the United States as a whole.

To provide gridded demographic data, including characteristics of age, race, ethnicity, and housing, for metropolitan statistical areas at a finer resolution than is available in the 30 arc-second grids used for the United States as a whole.

To provide gridded demographic data, including characteristics of age, race, ethnicity, and housing, for metropolitan statistical areas at a finer resolution than is available in the 30 arc-second grids used for the United States as a whole.

To provide urban land use and informal settlements for the years 1982, 1992, 1998, and 2002 in Dar es Salaam, Tanzania.

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 serve a wide user community by providing composite Landsat images and raw data for urban areas that can be used in interdisciplinary studies of remote sensing and the environment.

To provide a global data set of average summer daytime maximum/nighttime minimum land surface temperatures (LSTs) for urban extents, as well as the LST difference between the urban area and the buffer.

To provide raster representations of global summer daytime maximum and nighttime minimum surface temperature for studies related to human health and climate change.

To provide global urban, rural, and total population projection grids based on Shared Socioeconomic Pathways (SSPs) data at a resolution of 1-km for climate, socioeconomic, environmental, and other related research.

To provide global urban, rural, and total population projection grids based on Shared Socioeconomic Pathways (SSPs) data at a resolution of one-eighth degree (7.5 arc-minutes) for climate, socioeconomic, environmental, and other related research.

To assess likely future areas of urban expansion up to the year 2030.

To provide a raster representation of urban areas (or urban mask) for use with GRUMP population grids or other data sets.

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

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

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

To provide a time series of raster population density data for data integration.

To provide a time series of raster population data for ntegration with other data sets.

To permit the summation of population values by country/territory and, in combination with other data layers, the summation of population values by irregular areas represented in the other data layers and country/territory.