United States of America population data
＋ Follow new data694 datasets about population in United States of America.
Legal and Statistical Entities Web Map Service; January 1, 2010 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2010 vintage
Census Current (2026) Physical Features Web Map Service; January 1, 2026 vintage
Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage
ACS 2024 Legal and Statistical Entities Web Map Service; January 1, 2024 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Census Tracts, Census Block Groups, Census Blocks; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2000 vintage
Legal and Statistical Entities Web Map Service; January 1, 2010 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Occupancy status, Units, Rooms, Year built, Owner/Renter (Tenure), Mortgage/Rent costs, and more. This service is updated annually with American Community Survey (ACS) 1-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2023. ACS Table(s): DP04. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.
ARPA Funding Eligibility. Per Treasury guidelines, the city of Charlotte has developed a fact-specific proxy to determine eligible geographic areas for residents served by ARPA funding for water bill payments (Charlotte Water) and the Community Resiliency Fund (Housing & Neighborhood Services). Eligible areas include census tracts with household income below 80% Area Median Income, as determined by 2020 ACS 5 year Estimates.
ACS 2013 Legal and Statistical Entities Web Map Service; January 1, 2013 vintage
ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage
Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage
Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage
ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage
Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 1-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2024. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: March 11, 2026. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
Legal and Statistical Entities Web Map Service; January 1, 2020 vintage
ACS 2026 Legal and Statistical Entities Web Map Service; January 1, 2026 vintage
Legal and Statistical Entities Web Map Service; January 1, 2010 vintage
Legal and Statistical Entities Web Map Service; January 1, 2010 vintage
Point label features for current census blocks, giving the block identifier and name for each block. Published by the US Census Bureau for the United States.
ACS 2018 Legal and Statistical Entities Web Map Service; January 1, 2018 vintage