![]() In 2000, the Census added the 'Two or more races' category to the data. All persons were grouped into singular race categories. Prior to 2000, the Census Bureau did not separately identify people who were two or more races. These categories do not exist for earlier years and do not appear in comparisons in this tool if a year prior to 2000 is selected. Race categories other than 'Black' and 'white' are included in the 'other' race category for years after 1990 when comparing to pre-1990 data.Īny comparison where the earliest year is between 19 includes two additional categories: 'American Indian/Alaska Native' and 'Asian or Pacific Islander.' Separate reporting for 'Asian' and 'Hawaiian Native/Pacific Islander' are combined for years after 2000 when the comparison year is in the 1990s.ĭata from 2000 onward considers 'Asian' and 'Hawaiian Native/Pacific Islander' as separate groups and also includes the 'multiracial' category. ![]() ![]() As a result, any comparison that includes data from before 1990 only includes these three race categories. If the earliest year selected in the tool is from before 1990, the data only includes three race categories: 'white', 'Black', and 'other'. ![]() To allow for comparisons over time, the race categories change depending on the earliest year selected in the comparison tool. This occurs because the Census Bureau has changed the race and ethnicity categories it makes available. Users will notice that the race categories change depending on the years selected in this interactive tool. But how the Census Bureau reported and grouped those populations changed over time. Imagery used to identify settlements is from the Maxar Basemap +Vivid.The Census Bureau’s Population and Housing Estimates Program (PEP) data by county includes details like counts by age, race, or ethnicity and goes back for decades. Population estimates are based on data from the Gridded Population of the World data collection. Accessed DAY MONTH YEAR.ĬIESIN contributions to the development of this work were supported by funding provided by Facebook. To reference this data, please use the following citation:įacebook and Center for International Earth Science Information Network - CIESIN - Columbia University. This preserves the relative population totals across administrative units while matching the UN total. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. The resulting maps are the most detailed and actionable tools available for aid and research organizations. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Creative Commons Attribution International
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