Layers:

Layer: ACS Economic Characteristics of DC 2018-2022 (55)

Name: ACS Economic Characteristics of DC 2018-2022

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: 2018-2022. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC 2017-2021 (0)

Name: ACS Economic Characteristics of DC 2017-2021

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: 2017-2021. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: December 12, 2022. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC 2016-2020 (1)

Name: ACS Economic Characteristics of DC 2016-2020

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: 2016-2020. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: March 18, 2022. 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.

Copyright Text: Office of Planning, Census Bureau

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Layer: ACS Economic Characteristics of DC 2015-2019 (2)

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage:2015-2019. ACS Table(s): DP05. Data downloaded from:Census Bureau's API for American Community Survey. Date of API call:December 18, 2020. National 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. 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 hereto learn more about ACS data releases. 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 2010 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 Shellsfile 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.

Copyright Text: https://planning.dc.gov

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Layer: ACS Economic Characteristics of DC Census Tracts 2018-2022 (56)

Name: ACS Economic Characteristics of DC Census Tracts 2018-2022

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage: 2018-2022. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC Census Tracts 2017-2021 (3)

Name: ACS Economic Characteristics of DC Census Tracts 2017-2021

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage: 2017-2021. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: December 12, 2022. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC Census Tracts 2016-2020 (4)

Name: ACS Economic Characteristics of DC Census Tracts 2016-2020

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage: 2016-2020. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: April 8, 2022. 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.

Copyright Text: Office of Planning, Census Bureau

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• TRACTCE ( type: esriFieldTypeString, alias: Census tract code, length: 6 )
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Layer: ACS Economic Characteristics of DC Census Tracts 2015-2019 (5)

Name: ACS Economic Characteristics of DC Census Tracts 2015-2019

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage:2015-2019. ACS Table(s): DP05. Data downloaded from:Census Bureau's API for American Community Survey. Date of API call:December 18, 2020. National 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. 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 hereto learn more about ACS data releases. 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 2010 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 Shellsfile 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.

Copyright Text: https://planning.dc.gov

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Layer: ACS Economic Characteristics of DC Wards 2018-2022 (57)

Name: ACS Economic Characteristics of DC Wards 2018-2022

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: 2022 Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2018-2022. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC Wards 2017-2021 (8)

Name: ACS Economic Characteristics of DC Wards 2017-2021

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: 2022 Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2017-2021. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: December 12, 2022. 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.

Copyright Text: Office of Planning

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Layer: ACS Economic Characteristics of DC Wards 2016-2020 (7)

Name: ACS Economic Characteristics of DC Wards 2016-2020

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Wards (State Legislative Districts [Upper Chamber]). Current Vintage: 2016-2020. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: April 8, 2022. 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.

Copyright Text: Office of Planning, Census Bureau

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• SLDUST ( type: esriFieldTypeString, alias: Current state legislative district upper chamber code, length: 3 )
• GEOID ( type: esriFieldTypeString, alias: Geographic Identifier, length: 5 )
• NAMELSAD ( type: esriFieldTypeString, alias: Legal/Statistical Area Description Code, length: 100 )
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• DP03_0004 ( type: esriFieldTypeInteger, alias: EMPLOYMENT STATUS: Population 16 years and over: In labor force: Civilian labor force: Employed )
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Layer: ACS Economic Characteristics of DC Wards 2015-2019 (6)

Name: ACS Economic Characteristics of DC Wards 2015-2019

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. 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: Census Tracts. Current Vintage:2015-2019. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call:December 18, 2020. National 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. 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 hereto learn more about ACS data releases. 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 2010 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 Shellsfile 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.

Copyright Text: https://planning.dc.gov

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Layer: ACS 1-Year Economic Characteristics of DC 2022 (10)

Name: ACS 1-Year Economic Characteristics of DC 2022

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, 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: 2022. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2024. 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.

Copyright Text: Office of Planning

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Layer: ACS 1-Year Economic Characteristics of DC 2021 (9)

Name: ACS 1-Year Economic Characteristics of DC 2021

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Description: Employment, Commuting, Occupation, Income, Health Insurance, Poverty, 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: 2021. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 11, 2023. 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.

Copyright Text: Office of Planning

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• STATEFP ( type: esriFieldTypeString, alias: State Federal Information Processing Standards code, length: 2 )
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Layer: ACS Business Characteristics of DC 2021 (54)

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Description: This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2021 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2024. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau 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 Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

Copyright Text: Office of Planning

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Layer: ACS Economic DC Experimental 2017-2021 (53)

Name: ACS Economic DC Experimental 2017-2021

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Description: Experimental Employment, Commuting, Occupation, Income, Health Insurance, Poverty variables Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data. This includes a limited number of data tables for the nation, states, and the District of Columbia. Please visit the following webpage for details. https://www.census.gov/programs-surveys/acs/data/experimental-data.htmlContact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2020. ACS Table(s): Economic - Experimental. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: March 18, 2022. 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. 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.

Copyright Text: Office of Planning, Census Bureau

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• XK202701_010E ( type: esriFieldTypeInteger, alias: AGE BY HEALTH INSURANCE COVERAGE STATUS: Civilian noninstitutionalized population: 65 years and over: No health insurance coverage )
• XK202701_011E ( type: esriFieldTypeInteger, alias: AGE BY HEALTH INSURANCE COVERAGE STATUS: Civilian noninstitutionalized population: With health insurance )
• XK202701_012E ( type: esriFieldTypeInteger, alias: AGE BY HEALTH INSURANCE COVERAGE STATUS: Civilian noninstitutionalized population: Without health insurance )
• XK202702_001E ( type: esriFieldTypeInteger, alias: PRIVATE HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: Total )
• XK202702_002E ( type: esriFieldTypeInteger, alias: PRIVATE HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: With private health insurance )
• XK202702_003E ( type: esriFieldTypeInteger, alias: PRIVATE HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: No private health insurance )
• XK202703_001E ( type: esriFieldTypeInteger, alias: PUBLIC HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: Total )
• XK202703_002E ( type: esriFieldTypeInteger, alias: PUBLIC HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: With public coverage )
• XK202703_003E ( type: esriFieldTypeInteger, alias: PUBLIC HEALTH INSURANCE STATUS: Civilian noninstitutionalized population: No public coverage )
• GIS_ID ( type: esriFieldTypeString, alias: GIS Identifier, length: 75 )
• SE_ANNO_CAD_DATA ( type: esriFieldTypeBlob, alias: SE_ANNO_CAD_DATA )
• SHAPE ( type: esriFieldTypeGeometry, alias: Shape )
• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• GLOBALID ( type: esriFieldTypeGlobalID, alias: GLOBALID, length: 38 )

Tables:

Table: ACS Economic Characteristics of DC 2011-2015 (11)

Name: ACS Economic Characteristics of DC 2011-2015

Display Field: COMP_PLAN_AREA

Type: Table

Geometry Type: N/A

Description: null

Copyright Text: N/A

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, PBF

Supports Advanced Queries: true

Supports Statistics: true

Use Standardized Queries: true

Extent:

Drawing Info:
N/A
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: false
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields:
• COMP_PLAN_AREA ( type: esriFieldTypeString, alias: COMP_PLAN_AREA, length: 255 )
• EMP_POP16_OVER ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER )
• EMP_POP16_OVER_IN_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_IN_LBRFRC )
• EMP_POP16_OVER_CVL_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_CVL_LBRFRC )
• EMP_POP16_OVER_EMPLOYED ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_EMPLOYED )
• EMP_POP16_OVER_UNEMPLOYED ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_UNEMPLOYED )
• EMP_POP16_OVER_ARMFRC ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_ARMFRC )
• EMP_POP16_OVER_NOT_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_POP16_OVER_NOT_LBRFRC )
• EMP_CVL_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_CVL_LBRFRC )
• EMP_PRC_UNEMPLOYED ( type: esriFieldTypeDouble, alias: EMP_PRC_UNEMPLOYED )
• EMP_FML_POP16_OVER ( type: esriFieldTypeInteger, alias: EMP_FML_POP16_OVER )
• EMP_FML_POP16_OVER_IN_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_FML_POP16_OVER_IN_LBRFRC )
• EMP_FML_POP16_OVER_CVL_LBRFRC ( type: esriFieldTypeInteger, alias: EMP_FML_POP16_OVER_CVL_LBRFRC )
• EMP_FML_POP16_OVER_EMPLOYED ( type: esriFieldTypeInteger, alias: EMP_FML_POP16_OVER_EMPLOYED )
• TRANS_WRK16_OVER ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER )
• TRANS_WRK16_OVER_AUTO_ALONE ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_AUTO_ALONE )
• TRANS_WRK16_OVER_AUTO_POOL ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_AUTO_POOL )
• TRANS_WRK16_OVER_PUBLIC ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_PUBLIC )
• TRANS_WRK16_OVER_WALK ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_WALK )
• TRANS_WRK16_OVER_OTHER ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_OTHER )
• TRANS_WRK16_OVER_AT_HOME ( type: esriFieldTypeInteger, alias: TRANS_WRK16_OVER_AT_HOME )
• INC_2015_INFL_ADJ_TOT_HH ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_TOT_HH )
• INC_2015_INFL_ADJ_LESS_10K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_LESS_10K )
• INC_2015_INFL_ADJ_10K_14999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_10K_14999K )
• INC_2015_INFL_ADJ_15K_24999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_15K_24999K )
• INC_2015_INFL_ADJ_25K_34999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_25K_34999K )
• INC_2015_INFL_ADJ_35K_49999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_35K_49999K )
• INC_2015_INFL_ADJ_50K_74999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_50K_74999K )
• INC_2015_INFL_ADJ_75K_99999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_75K_99999K )
• INC_2015_INFL_ADJ_100K_149999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_100K_149999K )
• INC_2015_INFL_ADJ_150K_199999K ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_150K_199999K )
• INC_2015_INFL_ADJ_200K_MORE ( type: esriFieldTypeInteger, alias: INC_2015_INFL_ADJ_200K_MORE )
• INC_HH_MEDIAN_DOLLAR ( type: esriFieldTypeInteger, alias: INC_HH_MEDIAN_DOLLAR )
• POVERTY_STATS_POP_DETERMINED ( type: esriFieldTypeInteger, alias: POVERTY_STATS_POP_DETERMINED )
• POVERTY_STAT_BELOW_LEVEL ( type: esriFieldTypeInteger, alias: POVERTY_STAT_BELOW_LEVEL )
• POVERTY_STAT_PCT_BELOW_LEVEL ( type: esriFieldTypeDouble, alias: POVERTY_STAT_PCT_BELOW_LEVEL )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• GLOBALID ( type: esriFieldTypeGlobalID, alias: GLOBALID, length: 38 )