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

To measure human security and sensitivity of populations to climate stressors in the coastal zone of West Africa.

To provide a measure of economic activity in the coastal zone of West Africa based on nighttime lights.

To provide market accessibility in the coastal zone of West Africa.

To provide roads linking rural production to urban markets in the coastal zone of West Africa that represent an important exposed infrastructure asset.

To provide areas of higher richness of threatened species which may be at risk from climate stressors in the coastal zone of West Africa.

To provide poverty levels in the coastal zone of West Africa.

To provide a map of cumulative human pressure on the environment in 1993.

To provide a map of cumulative human pressure on the environment in 2009.

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

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 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 context for the population count and density rasters, and explicit information on the spatial precision of the input boundary data.

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 pixel-level land and water surface area estimates.

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 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 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.