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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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN STYLE="font-weight:bold;">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</SPAN><SPAN>. 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.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Office of Planning

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

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>

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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. </SPAN><SPAN><SPAN>This service is updated annually with American Community Survey (ACS) 5-year data. </SPAN></SPAN><SPAN>Contact</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>District of Columbia, Office of Planning. Email: </SPAN></SPAN><A href="mailto:planning@dc.gov" STYLE="text-decoration:underline;"><SPAN><SPAN>planning@dc.gov</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Geography</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>Census Tracts. </SPAN></SPAN><SPAN>Current Vintage</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>2015-2019. </SPAN></SPAN><SPAN>ACS Table(s): </SPAN><SPAN><SPAN>DP05. </SPAN></SPAN><SPAN>Data downloaded from:</SPAN><A href="https://www.census.gov/data/developers/data-sets.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Census Bureau's API for American Community Survey</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Date of API call</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>December 18, 2020. </SPAN></SPAN><SPAN>National Figures</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN /><SPAN /><A href="https://data.census.gov/cedsci/table?q=B01001&amp;table=B01001&amp;tid=ACSDT5Y2018.B01001" STYLE="text-decoration:underline;"><SPAN><SPAN>data.census.gov</SPAN></SPAN></A><SPAN><SPAN>. The United States Census Bureau's American Community Survey (ACS): </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/about.html" STYLE="text-decoration:underline;"><SPAN><SPAN>About the Survey</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Geography &amp; ACS</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Technical Documentation</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news.html" STYLE="text-decoration:underline;"><SPAN><SPAN>News &amp; Updates</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Note from the Census:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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 </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Accuracy of the Data</SPAN></SPAN></A><SPAN><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Processing Notes:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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. </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Click here</SPAN></SPAN></A><SPAN /><SPAN><SPAN>to learn more about ACS data releases. Boundaries come from the </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>US Census TIGER geodatabases</SPAN></SPAN></A><SPAN><SPAN>. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" STYLE="text-decoration:underline;"><SPAN><SPAN>as specified by the Census</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www2.census.gov/programs-surveys/acs/summary_file/2017/documentation/user_tools/ACS2017_Table_Shells.xlsx" STYLE="text-decoration:underline;"><SPAN><SPAN>Table Shells</SPAN></SPAN></A><SPAN><SPAN>file available from the </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/summary-file-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>American Community Survey Summary File Documentation page</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P></DIV></DIV></DIV>

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

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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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN STYLE="font-weight:bold;">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.</SPAN><SPAN> 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.</SPAN></P></DIV></DIV></DIV>

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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN>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.</SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: Office of Planning, Census Bureau

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• DP03_0123PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Married couple families: With related children of the householder under 18 years )
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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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. </SPAN><SPAN><SPAN>This service is updated annually with American Community Survey (ACS) 5-year data. </SPAN></SPAN><SPAN>Contact</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>District of Columbia, Office of Planning. Email: </SPAN></SPAN><A href="mailto:planning@dc.gov" STYLE="text-decoration:underline;"><SPAN><SPAN>planning@dc.gov</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Geography</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>Census Tracts. </SPAN></SPAN><SPAN>Current Vintage</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>2015-2019. </SPAN></SPAN><SPAN>ACS Table(s): </SPAN><SPAN><SPAN>DP05. </SPAN></SPAN><SPAN>Data downloaded from:</SPAN><A href="https://www.census.gov/data/developers/data-sets.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Census Bureau's API for American Community Survey</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Date of API call</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>December 18, 2020. </SPAN></SPAN><SPAN>National Figures</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN /><SPAN /><A href="https://data.census.gov/cedsci/table?q=B01001&amp;table=B01001&amp;tid=ACSDT5Y2018.B01001" STYLE="text-decoration:underline;"><SPAN><SPAN>data.census.gov</SPAN></SPAN></A><SPAN><SPAN>. The United States Census Bureau's American Community Survey (ACS): </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/about.html" STYLE="text-decoration:underline;"><SPAN><SPAN>About the Survey</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Geography &amp; ACS</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Technical Documentation</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news.html" STYLE="text-decoration:underline;"><SPAN><SPAN>News &amp; Updates</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Note from the Census:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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 </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Accuracy of the Data</SPAN></SPAN></A><SPAN><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Processing Notes:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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. </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Click here</SPAN></SPAN></A><SPAN /><SPAN><SPAN>to learn more about ACS data releases. Boundaries come from the </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>US Census TIGER geodatabases</SPAN></SPAN></A><SPAN><SPAN>. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" STYLE="text-decoration:underline;"><SPAN><SPAN>as specified by the Census</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www2.census.gov/programs-surveys/acs/summary_file/2017/documentation/user_tools/ACS2017_Table_Shells.xlsx" STYLE="text-decoration:underline;"><SPAN><SPAN>Table Shells</SPAN></SPAN></A><SPAN><SPAN>file available from the </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/summary-file-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>American Community Survey Summary File Documentation page</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

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

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Layer: ACS Economic Characteristics of DC Wards 2015-2019 (6)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. </SPAN><SPAN><SPAN>This service is updated annually with American Community Survey (ACS) 5-year data. </SPAN></SPAN><SPAN>Contact</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>District of Columbia, Office of Planning. Email: </SPAN></SPAN><A href="mailto:planning@dc.gov" STYLE="text-decoration:underline;"><SPAN><SPAN>planning@dc.gov</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Geography</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN><SPAN>Census Tracts. </SPAN></SPAN><SPAN>Current Vintage</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>2015-2019. </SPAN></SPAN><SPAN>ACS Table(s): </SPAN><SPAN><SPAN>DP05. </SPAN></SPAN><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Census Bureau's API for American Community Survey</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN><SPAN>Date of API call</SPAN><SPAN STYLE="font-weight:bold;">:</SPAN><SPAN><SPAN>December 18, 2020. </SPAN></SPAN><SPAN>National Figures</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN /><SPAN /><A href="https://data.census.gov/cedsci/table?q=B01001&amp;table=B01001&amp;tid=ACSDT5Y2018.B01001" STYLE="text-decoration:underline;"><SPAN><SPAN>data.census.gov</SPAN></SPAN></A><SPAN><SPAN>. The United States Census Bureau's American Community Survey (ACS): </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/about.html" STYLE="text-decoration:underline;"><SPAN><SPAN>About the Survey</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Geography &amp; ACS</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Technical Documentation</SPAN></SPAN></A><SPAN><SPAN>, </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news.html" STYLE="text-decoration:underline;"><SPAN><SPAN>News &amp; Updates</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Note from the Census:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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 </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Accuracy of the Data</SPAN></SPAN></A><SPAN><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>Data Processing Notes:</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>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. </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" STYLE="text-decoration:underline;"><SPAN><SPAN>Click here</SPAN></SPAN></A><SPAN /><SPAN><SPAN>to learn more about ACS data releases. Boundaries come from the </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>US Census TIGER geodatabases</SPAN></SPAN></A><SPAN><SPAN>. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" STYLE="text-decoration:underline;"><SPAN><SPAN>as specified by the Census</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html" STYLE="text-decoration:underline;"><SPAN><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></SPAN></A><SPAN><SPAN>. 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 </SPAN></SPAN><A href="https://www2.census.gov/programs-surveys/acs/summary_file/2017/documentation/user_tools/ACS2017_Table_Shells.xlsx" STYLE="text-decoration:underline;"><SPAN><SPAN>Table Shells</SPAN></SPAN></A><SPAN /><SPAN><SPAN>file available from the </SPAN></SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/summary-file-documentation.html" STYLE="text-decoration:underline;"><SPAN><SPAN>American Community Survey Summary File Documentation page</SPAN></SPAN></A><SPAN><SPAN>. 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.</SPAN></SPAN></P></DIV></DIV></DIV>

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

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• DP03_0093E ( type: esriFieldTypeInteger, alias: INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS): Median earnings for male full-time, year-round workers (dollars) )
• DP03_0094E ( type: esriFieldTypeInteger, alias: INCOME AND BENEFITS (IN 2019 INFLATION-ADJUSTED DOLLARS): Median earnings for female full-time, year-round workers (dollars) )
• DP03_0095E ( type: esriFieldTypeInteger, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population )
• DP03_0096E ( type: esriFieldTypeInteger, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: With health insurance coverage )
• DP03_0097E ( type: esriFieldTypeInteger, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: With health insurance coverage: With private health insurance )
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• DP03_0100E ( type: esriFieldTypeInteger, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population under 19 years )
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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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN>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.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Office of Planning, Census Bureau

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• GEOID ( type: esriFieldTypeString, alias: Geographic Identifier, length: 5 )
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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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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]). </SPAN><SPAN STYLE="font-weight:bold;">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.</SPAN><SPAN> 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.</SPAN></P></DIV></DIV></DIV>

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: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN STYLE="font-weight:bold;">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</SPAN><SPAN>. 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.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Office of Planning

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• DP03_0025E ( type: esriFieldTypeDouble, alias: COMMUTING TO WORK: Workers 16 years and over: Mean travel time to work (minutes) )
• DP03_0026E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over )
• DP03_0027E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over: Management, business, science, and arts occupations )
• DP03_0028E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over: Service occupations )
• DP03_0029E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over: Sales and office occupations )
• DP03_0030E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over: Natural resources, construction, and maintenance occupations )
• DP03_0031E ( type: esriFieldTypeDouble, alias: OCCUPATION: Civilian employed population 16 years and over: Production, transportation, and material moving occupations )
• DP03_0032E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over )
• DP03_0033E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Agriculture, forestry, fishing and hunting, and mining )
• DP03_0034E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Construction )
• DP03_0035E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Manufacturing )
• DP03_0036E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Wholesale trade )
• DP03_0037E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Retail trade )
• DP03_0038E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Transportation and warehousing, and utilities )
• DP03_0039E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Information )
• DP03_0040E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Finance and insurance, and real estate and rental and leasing )
• DP03_0041E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Professional, scientific, and management, and administrative and waste management services )
• DP03_0042E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Educational services, and health care and social assistance )
• DP03_0043E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Arts, entertainment, and recreation, and accommodation and food services )
• DP03_0044E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Other services, except public administration )
• DP03_0045E ( type: esriFieldTypeDouble, alias: INDUSTRY: Civilian employed population 16 years and over: Public administration )
• DP03_0046E ( type: esriFieldTypeDouble, alias: CLASS OF WORKER: Civilian employed population 16 years and over )
• DP03_0047E ( type: esriFieldTypeDouble, alias: CLASS OF WORKER: Civilian employed population 16 years and over: Private wage and salary workers )
• DP03_0048E ( type: esriFieldTypeDouble, alias: CLASS OF WORKER: Civilian employed population 16 years and over: Government workers )
• DP03_0049E ( type: esriFieldTypeDouble, alias: CLASS OF WORKER: Civilian employed population 16 years and over: Self-employed in own not incorporated business workers )
• DP03_0050E ( type: esriFieldTypeDouble, alias: CLASS OF WORKER: Civilian employed population 16 years and over: Unpaid family workers )
• DP03_0051E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households )
• DP03_0052E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: Less than $10,000 )
• DP03_0053E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $10,000 to $14,999 )
• DP03_0054E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $15,000 to $24,999 )
• DP03_0055E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $25,000 to $34,999 )
• DP03_0056E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $35,000 to $49,999 )
• DP03_0057E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $50,000 to $74,999 )
• DP03_0058E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $75,000 to $99,999 )
• DP03_0059E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $100,000 to $149,999 )
• DP03_0060E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $150,000 to $199,999 )
• DP03_0061E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: $200,000 or more )
• DP03_0062E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: Median household income (dollars) )
• DP03_0063E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: Mean household income (dollars) )
• DP03_0064E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With earnings )
• DP03_0065E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With earnings: Mean earnings (dollars) )
• DP03_0066E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With Social Security )
• DP03_0067E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With Social Security: Mean Social Security income (dollars) )
• DP03_0068E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With retirement income )
• DP03_0069E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With retirement income: Mean retirement income (dollars) )
• DP03_0070E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With Supplemental Security Income )
• DP03_0071E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With Supplemental Security Income: Mean Supplemental Security Income (dollars) )
• DP03_0072E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With cash public assistance income )
• DP03_0073E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With cash public assistance income: Mean cash public assistance income (dollars) )
• DP03_0074E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Total households: With Food Stamp/SNAP benefits in the past 12 months )
• DP03_0075E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families )
• DP03_0076E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: Less than $10,000 )
• DP03_0077E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $10,000 to $14,999 )
• DP03_0078E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $15,000 to $24,999 )
• DP03_0079E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $25,000 to $34,999 )
• DP03_0080E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $35,000 to $49,999 )
• DP03_0081E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $50,000 to $74,999 )
• DP03_0082E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $75,000 to $99,999 )
• DP03_0083E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $100,000 to $149,999 )
• DP03_0084E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $150,000 to $199,999 )
• DP03_0085E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: $200,000 or more )
• DP03_0086E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: Median family income (dollars) )
• DP03_0087E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Families: Mean family income (dollars) )
• DP03_0088E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Per capita income (dollars) )
• DP03_0089E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Nonfamily households )
• DP03_0090E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Nonfamily households: Median nonfamily income (dollars) )
• DP03_0091E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Nonfamily households: Mean nonfamily income (dollars) )
• DP03_0092E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Median earnings for workers (dollars) )
• DP03_0093E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Median earnings for male full-time, year-round workers (dollars) )
• DP03_0094E ( type: esriFieldTypeDouble, alias: INCOME AND BENEFITS (IN 2021 INFLATION-ADJUSTED DOLLARS): Median earnings for female full-time, year-round workers (dollars) )
• DP03_0095E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population )
• DP03_0096E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: With health insurance coverage )
• DP03_0097E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: With health insurance coverage: With private health insurance )
• DP03_0098E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: With health insurance coverage: With public coverage )
• DP03_0099E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population: No health insurance coverage )
• DP03_0100E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population under 19 years )
• DP03_0101E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population under 19 years: No health insurance coverage )
• DP03_0102E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years )
• DP03_0103E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force: )
• DP03_0104E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Employed: )
• DP03_0105E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Employed:: With health insurance coverage )
• DP03_0106E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Employed:: With health insurance coverage: With private health insurance )
• DP03_0107E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Employed:: With health insurance coverage: With public coverage )
• DP03_0108E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Employed:: No health insurance coverage )
• DP03_0109E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Unemployed: )
• DP03_0110E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Unemployed:: With health insurance coverage )
• DP03_0111E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Unemployed:: With health insurance coverage: With private health insurance )
• DP03_0112E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Unemployed:: With health insurance coverage: With public coverage )
• DP03_0113E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: In labor force:: Unemployed:: No health insurance coverage )
• DP03_0114E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: Not in labor force: )
• DP03_0115E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: Not in labor force:: With health insurance coverage )
• DP03_0116E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: Not in labor force:: With health insurance coverage: With private health insurance )
• DP03_0117E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: Not in labor force:: With health insurance coverage: With public coverage )
• DP03_0118E ( type: esriFieldTypeDouble, alias: HEALTH INSURANCE COVERAGE: Civilian noninstitutionalized population 19 to 64 years: Not in labor force:: No health insurance coverage )
• DP03_0119PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families )
• DP03_0120PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: With related children of the householder under 18 years )
• DP03_0121PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: With related children of the householder under 18 years: With related children of the householder under 5 years only )
• DP03_0122PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Married couple families )
• DP03_0123PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Married couple families: With related children of the householder under 18 years )
• DP03_0124PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Married couple families: With related children of the householder under 18 years: With related children of the householder under 5 years only )
• DP03_0125PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Female householder, no spouse present )
• DP03_0126PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Female householder, no spouse present: With related children of the householder under 18 years )
• DP03_0127PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All families: Female householder, no spouse present: With related children of the householder under 18 years: With related children of the householder under 5 years only )
• DP03_0128PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people )
• DP03_0129PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: Under 18 years )
• DP03_0130PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: Under 18 years: Related children of the householder under 18 years )
• DP03_0131PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: Under 18 years: Related children of the householder under 18 years: Related children of the householder under 5 years )
• DP03_0132PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: Under 18 years: Related children of the householder under 18 years: Related children of the householder 5 to 17 years )
• DP03_0133PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: 18 years and over )
• DP03_0134PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: 18 years and over: 18 to 64 years )
• DP03_0135PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: 18 years and over: 65 years and over )
• DP03_0136PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: People in families )
• DP03_0137PE ( type: esriFieldTypeDouble, alias: PERCENTAGE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL: All people: Unrelated individuals 15 years and over )
• GIS_ID ( type: esriFieldTypeString, alias: GIS Identifier, length: 255 )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• 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 )

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 )