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Utah Urban Areas Census 2020

The urban areas created by the US Census Bureau "represent densely developed territory, and encompass residential, commercial, and other nonresidential urban land uses. Each urban area must encompass at least 2,000 housing units or at least 5,000 people." They were created by the Bureau following the 2020 census based on the population and housing unit density of individual blocks. The 2020 Census increased the urban population and housing unit count requirements for the first time since 1910, resulting in differences between the 2010 and 2020 boundaries beyond those resulting from population change. In addition, they also stopped distinguishing between "urbanized areas" and "urban clusters" and renamed areas as needed to reflect the updated boundaries. Please see the US Census Bureau website for more information.

Population · UtahAGRC
Tribal Census Tracts (tigerWMS ACS2022)

ACS 2022 Legal and Statistical Entities Web Map Service; January 1, 2022 vintage

Population · US Census Bureau
Combined New England City and Town Areas (tigerWMS Census2020)

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

Population · US Census Bureau
Metropolitan New England City and Town Areas (tigerWMS Census2020)

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

Population · US Census Bureau
New England City and Town Area Divisions (tigerWMS Census2010)

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Population · US Census Bureau
Census Divisions 20M (Region Division)

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized

Population · US Census Bureau
Primary Metropolitan Statistical Areas Labels (tigerWMS Census2000)

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Population · US Census Bureau
Census Divisions 5M (Region Division)

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized

Population · US Census Bureau
American Indian Joint-Use Areas Labels (tigerWMS Current)

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Population · US Census Bureau
Urban Clusters Labels (tigerWMS Census2000)

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Population · US Census Bureau
Census Divisions 500K (Region Division)

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized

Population · US Census Bureau
Census Tracts Labels (tigerWMS ACS2025)

ACS 2025 Legal and Statistical Entities Web Map Service; January 1, 2025 vintage

Population · US Census Bureau
Federal American Indian Reservations Labels (tigerWMS Census2000)

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Population · US Census Bureau
Census Divisions Labels (tigerWMS ACS2013)

ACS 2013 Legal and Statistical Entities Web Map Service; January 1, 2013 vintage

Population · US Census Bureau
2010 Census Public Use Microdata Areas Labels (tigerWMS ACS2014)

ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage

Population · US Census Bureau
Census Divisions 20M (Region Division)

Census Regions, Census Divisions; January 1, 2015 vintage; Generalized

Population · US Census Bureau
Census Regions Labels (tigerWMS ACS2019)

ACS 2019 Legal and Statistical Entities Web Map Service; January 1, 2019 vintage

Population · US Census Bureau
Census Divisions (tigerWMS ACS2014)

ACS 2014 Legal and Statistical Entities Web Map Service; January 1, 2014 vintage

Population · US Census Bureau
ACS Disability Status Variables - Centroids

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows disability status by sex and age group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized to show the count and percentage of elderly (65+) with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B18101Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. 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. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.   Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Population · esri_livingatlas
States Labels (tigerWMS Current)

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Population · US Census Bureau
Census Divisions (tigerWMS Census2000)

Legal and Statistical Entities Web Map Service; January 1, 2000 vintage

Population · US Census Bureau
Census Divisions (Region Division)

Census Regions, Census Divisions; January 1, 2020 vintage

Population · US Census Bureau
Urban Growth Areas (tigerWMS Census2020)

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

Population · US Census Bureau
2010 Census Urbanized Areas Labels (tigerWMS ACS2015)

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

Population · US Census Bureau
2010 Census Urban Clusters Labels (tigerWMS ACS2015)

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

Population · US Census Bureau
ACS Fertility in Past 12 Months by Age Variables - Centroids

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows fertility in past 12 months by age of mother. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The calculated percentages are slightly different from traditional age-specific fertility rates in that the total number of live births (due to twins or higher-order multiple births) is not available in this table.  This layer is symbolized to show the count and percent of women age 15 to 50 who had a birth in the past 12 months.  To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B13016Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. 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. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico   Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Population · esri_livingatlas
American Indian Joint-Use Areas Labels (tigerWMS Census2020)

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

Population · US Census Bureau
Tribal Census Tracts Labels (tigerWMS ACS2016)

ACS 2016 Legal and Statistical Entities Web Map Service; January 1, 2016 vintage

Population · US Census Bureau
Federal American Indian Reservations (tigerWMS Census2010)

Legal and Statistical Entities Web Map Service; January 1, 2010 vintage

Population · US Census Bureau
Colleges and Universities (tigerWMS PhysicalFeatures)

Census Current (2026) Physical Features Web Map Service; January 1, 2026 vintage

Population · US Census Bureau
ACS 5-Year Demographic Characteristics of DC 2019-2023

Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2019-2023. ACS Table(s): DP05. 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.

Population · DCGISopendata
Census Block Groups Labels (tigerWMS Census2020)

Legal and Statistical Entities Web Map Service; January 1, 2020 vintage

Population · US Census Bureau
State American Indian Reservations Labels (tigerWMS Current)

Census Current (2026) WMS Legal and Statistical Entities Web Map Service; January 1, 2026 vintage

Population · US Census Bureau
Census Divisions Labels (tigerWMS ACS2017)

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

Population · US Census Bureau
ACS Labor Force Participation by Age Variables - Centroids

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows full-time, year-round vs. part-time employment by age. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized to show the percent and count of population age 65+ who worked in the past 12 months. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B23027Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. 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. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.   Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Population · esri_livingatlas
Census Divisions (tigerWMS ACS2017)

ACS 2017 Legal and Statistical Entities Web Map Service; January 1, 2017 vintage

Population · US Census Bureau