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Layer: Race - SPG 1 to SPG 1.7 (1)

Sub Layers:
• SPG 1 - People of Color
• SPG 1.1 - Black or African American Alone
• SPG 1.2 - American Indian & Alaskan Native Alone
• SPG 1.3 - Asian Alone
• SPG 1.4 - Native Hawaiian & Other Pacific Islander Alone
• SPG 1.5 - Other Population Alone
• SPG 1.6 - Two or More Races
• SPG 1.7 - Hispanic or Latino Origin
Name: Race - SPG 1 to SPG 1.7

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Spatial Reference: 102100  (3857)



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Layer: SPG 1 - People of Color (4)

Parent Layer: Race - SPG 1 to SPG 1.7

Name: SPG 1 - People of Color

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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• B03002_calc_pctAsianE ( type: esriFieldTypeDouble, alias: Percent of Population that is Asian alone )
• B03002_calc_pctNHOPIE ( type: esriFieldTypeDouble, alias: Percent of Population that is Native Hawaiian and other Pacific Islander alone )
• B03002_calc_pctOtherE ( type: esriFieldTypeDouble, alias: Percent of Population that is some other race alone )
• B03002_calc_pct2OrMoreE ( type: esriFieldTypeDouble, alias: Percent of Population that is two or more races )
• B03002_calc_pctHispLatE ( type: esriFieldTypeDouble, alias: Percent of Population that is Hispanic or Latino )
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• Total_Pop_POC ( type: esriFieldTypeInteger, alias: Total population of People of Color )
• Percent_POC ( type: esriFieldTypeDouble, alias: Percent Population People of Color )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
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• B03002_005E_and_B03002_015E ( type: esriFieldTypeInteger, alias: Total American Indian and Alaska Native alone )
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• B03002_003E_and_B03002_013E ( type: esriFieldTypeInteger, alias: Total White Alone )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Tract Area (Square Meters) )

Layer: SPG 1.1 - Black or African American Alone (7)

Parent Layer: Race - SPG 1 to SPG 1.7

Name: SPG 1.1 - Black or African American Alone

Display Field: NAME

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Spatial Reference: 102100  (3857)



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• B03002_calc_pctBlackE ( type: esriFieldTypeDouble, alias: Percent of Population that is Black or African American alone )
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• Total_Pop_POC ( type: esriFieldTypeInteger, alias: Total population of People of Color )
• Percent_POC ( type: esriFieldTypeDouble, alias: Percent Population People of Color )
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• B03002_003E_and_B03002_013E ( type: esriFieldTypeInteger, alias: Total White Alone )
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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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. 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It is updated annually within days of the Census Bureau's release schedule. </SPAN><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Layer: SPG 1.7 - Hispanic or Latino Origin (25)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>RI Division of Statewide Planning (RIDSP) calculated the total population for People of Color by doing the following: Total Population - White alone, note Hispanic or Latino = Total people of Color. RIDSP also calculated the Percent of the Population People of Color by doing the following: (Total population people of color / total population) x 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B03002</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN>The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as</SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN> specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B03002, Esri Demographics, RIDSP

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Layer: SPG 2 - Individuals in Poverty/Low-Income (200% of Poverty Level) (28)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows poverty status by age, and ratio of income to poverty level. This is shown by tract boundaries for Rhode Island. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Poverty status and ratio of income to poverty level is based on income in past 12 months of survey. </SPAN></P><P><SPAN>Rhode Island Division of Statewide Planning calculated two fields for this dataset. The first dataset was Population whose income in the past 12 months is 2.00x and under (200% or more of) the federal poverty level. This was done by calculating the following: Total Population for whom Poverty Status is Determined - Population whose income in the past 12 months is 2.00x and over (200% or more of) the federal poverty level = Population whose income in the past 12 months is under 2.00x (200% or more of) the federal poverty level.</SPAN></P><P><SPAN>The second calculation performed by RIDSP was the Percent of Population whose income in the past 12 months is 2.00x and under (200% or more of) the federal poverty level. This was done by the following: (Population whose income in the past 12 months is under 2.00x (200% or more of) the federal poverty level / Total Population for whom Poverty Status is Determined)*100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B17020, C17002 (Not all lines of ACS table C17002 are available in this feature layer.)</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data. </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN> Data Processing Notes:</SPAN></P><P><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. Click here to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B17020, C17002, Esri Demographics, RIDSP

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Layer: SPG 3 - Population of Children in Single Parent HH (31)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows living arrangements of children and adults by age group. This is shown by tract boundaries in the state of Rhode Island. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>RIDSP calculated a total population for "Population of </SPAN><SPAN>Children in Female or Male Householder, No Spouse/Partner Present Households" by calculating the sum of "Population </SPAN><SPAN>of Children in Male Householder, No Spouse/Partner Present Households" and "Population </SPAN><SPAN>of Children in Female Householder, No Spouse/Partner Present Households" (B09005_004E + B09005_005E). The Percent of Children in Female or Male Householder, No Spouse/Partner Present Households was calculated by dividing ("Population of </SPAN><SPAN>Children in Female or Male Householder, No Spouse/Partner Present Households"/"Population Under 18 Years in Households (excluding Householders, Spouses, and Unmarried Partners)")*100.</SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B09021, B09005</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures:</SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN> data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> </SPAN></P><P><SPAN>Data Note from the Census: </SPAN></P><P><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, </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>see Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN> Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here to </SPAN></A><SPAN>learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>as specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B09021, B09005, Esri Demographics, RIDSP

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Layer: SPG 4 - School-Age Children (Ages 5-19) (34)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows total population count by sex and age group. This is shown by tract for the state of Rhode Island, and was downloaded from Esri Living Atlas on 2/11/2026. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>No additional calculations were performed on this dataset and it is shown "as is".</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B01001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN>Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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. 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The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>specifications defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

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Layer: SPG 5 - Aging Individuals (≥65) (37)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows total population count by sex and age group. This is shown by tract for the state of Rhode Island, and was downloaded from Esri Living Atlas on 2/11/2026. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>No additional calculations were performed on this dataset and it is shown "as is".</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B01001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation</SPAN></A></P><P><SPAN /></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN>Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>vintage as specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. 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Layer: SPG 6 - Individuals with a Disability (40)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows disability status by sex and age group. This is shown by tract for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Some layers may be hidden for ease of use.</SPAN></P><P><SPAN>No additional calculations were performed on this dataset, and it is shown "as is". Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. 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Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> </SPAN></P><P><SPAN>Data Note from the Census:</SPAN></P><P><SPAN> </SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN> </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B18101, Esri Demographics, RIDSP

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Layer: SPG 7 - Individuals with Limited English Proficiency (All Languages) (43)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well and dividing it by the total population age 5+ and multiplying that answer by 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): C16001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates </SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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• C16001_035E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Arabic and speaks English less than very well )
• C16001_027E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Tagalog (incl. Filipino) )
• C16001_029E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Tagalog (incl. Filipino) and speaks English less than very well )
• C16001_024E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Vietnamese )
• C16001_026E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Vietnamese and speaks English less than very well )
• C16001_018E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Korean )
• C16001_020E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks Korean and speaks English less than very well )
• C16001_009E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks German or other West Germanic languages )
• C16001_011E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks German or other West Germanic languages and speaks English less than very well )
• C16001_036E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks other and unspecified languages )
• C16001_038E ( type: esriFieldTypeInteger, alias: Population age 5+ who speaks other and unspecified languages and speaks English less than very well )
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Layer: Top 5 Limited English Proficiency (LEP) Language Groups (Population age 5+) (44)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well and dividing it by the total population age 5+ and multiplying that answer by 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): C16001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates </SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well and dividing it by the total population age 5+ and multiplying that answer by 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): C16001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates </SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. 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These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well and dividing it by the total population age 5+ and multiplying that answer by 100.</SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): C16001</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><UL><LI><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P></LI><LI><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates </SPAN></A></P></LI></UL><P><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. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. 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Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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. 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It is updated annually within days of the Census Bureau's release schedule. </SPAN><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. 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These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows the language or language groups spoken at home by English ability. This is shown by tract boundaries for the state of Rhode Island. This service is updated annually to contain the most current American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>Three fields, Vintage, Date Downloaded, and Updated, were added to the dataset. Vintage is the time period that the data spans, as noted by the Census. Date downloaded is the date that RIDSP downloaded the data from the Esri Living Atlas, and Update is the field used to note the date in which any updates may have occurred (such as calculations). The Rhode Island Division of Statewide Planning calculated the percent of population age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. Mandarin, Cantonese) at home and speak English less than very well. This was done by calculating the population of age 5+ who speak (Spanish/Other Indo-European/French, Haitian, or Cajun/Other Asian, Pacific Islander/Chinese (incl. 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Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the U.S. Census </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>American Community Survey Summary File Documentation page</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) C16001, Esri Demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows household size by number of vehicles available. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the the U.S. Census Bureau, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </SPAN></P><P><SPAN>To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. </SPAN></P><P><SPAN>No additional calculations were required; this dataset is presented "as is".</SPAN></P><P><SPAN>Current Vintage: 2020-2024</SPAN></P><P><SPAN>ACS Table(s): B08201</SPAN></P><P><SPAN>Data downloaded from: </SPAN><A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Census Bureau's API for American Community Survey </SPAN></A></P><P><SPAN>Date of API call: January 29, 2026</SPAN></P><P><SPAN>National Figures: </SPAN><A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;"><SPAN>data.census.gov</SPAN></A></P><P><SPAN> The United States Census Bureau's American Community Survey (ACS):</SPAN></P><P><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>About the Survey </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Geography &amp; ACS </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Technical Documentation </SPAN></A></P><P><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>News &amp; Updates</SPAN></A><SPAN> </SPAN></P><P><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. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN> Data Note from the Census: </SPAN></P><P><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, </SPAN><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>see Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables. </SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. 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These negative values exist in the raw API data to indicate the following situations:</SPAN></P><P><SPAN>The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.</SPAN></P><P><SPAN>Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.</SPAN></P><P><SPAN>The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.</SPAN></P><P><SPAN>The estimate is controlled. 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Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B08201, Esri demographics, RIDSP

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows total population count by sex and age group. This is shown by tract for the state of Rhode Island, and was downloaded from Esri Living Atlas on 2/11/2026. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data from the U.S. Census Bureau, and contains estimates and margins of error. 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Data can also be exported for offline workflows. For more information about ACS layers, visit the </SPAN><A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;"><SPAN>FAQ</SPAN></A><SPAN>. Please cite the Census and ACS when using this data.</SPAN></P><P><SPAN>Data Note from the Census:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Accuracy of the Data</SPAN></A><SPAN>). The effect of nonsampling error is not represented in these tables.</SPAN></P><P><SPAN>Data Processing Notes:</SPAN></P><P><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><A href="https://www.census.gov/programs-surveys/acs/news/data-releases.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>Click here </SPAN></A><SPAN>to learn more about ACS data releases.</SPAN></P><P><SPAN>Boundaries come from the </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>U.S. Census TIGER geodatabases</SPAN></A><SPAN>, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data </SPAN><A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>vintage as specified by the Census</SPAN></A><SPAN>. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (</SPAN><A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;"><SPAN>download ZIP file here</SPAN></A><SPAN>, ~500MB). Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k </SPAN><A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;"><SPAN>TIGER Cartographic Boundary Shapefiles</SPAN></A><SPAN>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). </SPAN></P><P><SPAN>The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico</SPAN></P><P><SPAN>Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).</SPAN></P><P><SPAN>Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.</SPAN></P><P><SPAN>Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the </SPAN><A href="https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018_ch08.pdf" target="_blank" STYLE="text-decoration:underline;"><SPAN>specifications defined by the American Community Survey</SPAN></A><SPAN>.</SPAN></P><P><SPAN>Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.</SPAN></P><P><SPAN>Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. 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A statistical test for sampling variability is not appropriate.</SPAN></P><P><SPAN>The data for this geographic area cannot be displayed because the number of sample cases is too small.</SPAN></P></DIV></DIV></DIV>

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Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -8003020.551299999
YMin: 5033983.6822
XMax: -7917103.139499998
YMax: 5163797.147500008
Spatial Reference: 102100  (3857)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Style: esriSFSSolid
Color: [254, 255, 220, 255]
Outline:
Style: esriSLSSolid
Color: [78, 78, 78, 255]
Width: 0
Label: N/A
Description: N/A
Transparency: 20
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• GEOID ( type: esriFieldTypeString, alias: Geographic Identifier - FIPS Code, length: 11 )
• NAME ( type: esriFieldTypeString, alias: Tract Name, length: 255 )
• ALAND ( type: esriFieldTypeDouble, alias: Area of Land (Square Meters) )
• AWATER ( type: esriFieldTypeDouble, alias: Area of Water (Square Meters) )
• County ( type: esriFieldTypeString, alias: County Name, length: 255 )
• B01001_001E ( type: esriFieldTypeInteger, alias: Total Population )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Tract Area (Square Meters) )