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Groundswell Spatial Population and Migration Projections at One-Eighth Degree According to SSPs and RCPs, v1 (2010 – 2050)

Cimate Migration

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.

Population, Landscape, And Climate Estimates (PLACE), v4 (2000, 2005, 2010, 2015, 2020)

National Aggregates of Geospatial Data Collection (NAGDC)

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.

Population (POP), Built-Up Estimates (BUILT), and Degree of Urbanization Settlement Model Grid (SMOD), v1 (1975, 1990, 2000, 2014, 2015)

Global Human Settlement Layer (GHSL)

To provide global data on human population, built up area, and degree of urbanization for the years 1975, 1990, 2000, and 2014/2015 in the World Geodetic System 1984 (WGS84) geographic coordinate system.

U.S. Social Vulnerability Index Grids, v1 (2000, 2010, 2014, 2016, 2018)

U.S. Census Grids

To provide a 1 km grid of the CDC Social Vulnerability Index (SVI) aligned with CIESIN's Gridded Population of the World, Version 4, Revision 11 (GPWv4.11) with a mask for water and no population.

Urban-Rural Population and Land Area Estimates, v3 (1990, 2000, 2015)

Low Elevation Coastal Zone (LECZ)

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.

Global 1-km Downscaled Population Base Year and Projection Grids Based on the SSPs, v1.01 (2000 – 2100)

Population Dynamics

To provide global urban, rural, and total population base year and projection grids based on the Shared Socioeconomic Pathways (SSPs) data at a resolution of 1-km (about 30 arc-seconds) for climate, socioeconomic, environmental, and other related research.

Global One-Eighth Degree Population Base Year and Projection Grids Based on the SSPs, v1.01 (2000 – 2100)

Population Dynamics

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

Global Human Modification of Terrestrial Systems, v1 (2016)

Land Use and Land Cover

To provide a cumulative measure of human modification of terrestrial lands based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets.

Global Development Potential Indices, v1 (2016)

Land Use and Land Cover

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.

Spatial Data from the 2011 India Census, v1 (2011)

India Data Collection

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

Development Threat Index, v1 (2015)

Land Use and Land Cover (LULC)

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.

Historical Urban Population, v1 (3700 – 2000)

Urban Spatial Data

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

UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020)

Gridded Population of the World (GPW), v4

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.

Population Density, v4.11 (2000, 2005, 2010, 2015, 2020)

Gridded Population of the World (GPW), v4

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.

Basic Demographic Characteristics, v4.11 (2010)

Gridded Population of the World (GPW), v4

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.

Population Count, v4.11 (2000, 2005, 2010, 2015, 2020)

Gridded Population of the World (GPW), v4

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.

Administrative Unit Center Points with Population Estimates, v4.11 (2000, 2005, 2010, 2015, 2020)

Gridded Population of the World (GPW), v4

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.

National Identifier Grid, v4.11 (2010)

Gridded Population of the World (GPW), v4

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

UN WPP-Adjusted Population Count, v4.11 (2000, 2005, 2010, 2015, 2020)

Gridded Population of the World (GPW), v4

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.

India Village-Level Geospatial Socio-Economic Data Set, v1 (1991, 2001)

India Data Collection

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.

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