20260211 08181800 1.0 FALSE TRANS_TIP_TEBA_2024_Poverty 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20260225 18431900 20260225 18431900 500000 5000 FGDC Esri ArcGIS 12.9.4.32739 ACS Poverty Status 2024 2026-01-29T00:00:00 2026-02-05T00:00:00 Garth Hoxsie-Quinn RI Division of Statewide Planning Supervising GIS Specialist Providence RI 02908 garth.hoxsiequinn@doa.ri.gov 401-537-7186 This layer contains the most current release of data from the American Community Survey (ACS) about poverty status by age, and ratio of income to poverty level. These are 5-year estimates by the U.S. Census Bureau shown by tract for Rhode Island. <DIV STYLE="text-align:Left;"><DIV><DIV>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. 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.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.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2020-2024ACS Table(s): B17020, C17002 (Not all lines of ACS table C17002 are available in this feature layer.)Data downloaded from: <A href="https://www.census.gov/data/developers/data-sets.html" target="_blank" STYLE="text-decoration:underline;">Census Bureau's API for American Community Survey </A>Date of API call: January 29, 2026National Figures: <A href="https://data.census.gov/" target="_blank" STYLE="text-decoration:underline;">data.census.gov</A> The United States Census Bureau's American Community Survey (ACS):<UL><LI><A href="https://www.census.gov/programs-surveys/acs/about.html" target="_blank" STYLE="text-decoration:underline;">About the Survey </A></LI><LI><A href="https://www.census.gov/programs-surveys/acs/geography-acs.html" target="_blank" STYLE="text-decoration:underline;">Geography & ACS </A></LI><LI><A href="https://www.census.gov/programs-surveys/acs/technical-documentation.html" target="_blank" STYLE="text-decoration:underline;">Technical Documentation </A></LI><LI><A href="https://www.census.gov/programs-surveys/acs/news.html" target="_blank" STYLE="text-decoration:underline;">News & Updates</A> </LI></UL>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 <A href="https://acs-hosted-feature-layers-faq-esri.hub.arcgis.com/" target="_blank" STYLE="text-decoration:underline;">FAQ</A>. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see <A href="https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" target="_blank" STYLE="text-decoration:underline;">Accuracy of the Data</A>). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the <A href="https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html" target="_blank" STYLE="text-decoration:underline;">U.S. Census TIGER geodatabases</A>, 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 <A href="https://www.census.gov/programs-surveys/acs/geography-acs/geography-boundaries-by-year.html" target="_blank" STYLE="text-decoration:underline;">specified by the Census</A>. 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 (<A href="https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_areawater.gdb.zip" target="_blank" STYLE="text-decoration:underline;">download ZIP file here</A>, ~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 <A href="https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html" target="_blank" STYLE="text-decoration:underline;">TIGER Cartographic Boundary Shapefiles</A>. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count.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 <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;">American Community Survey</A>.Field alias names were created based on the Table Shells file available from the <A href="https://www.census.gov/programs-surveys/acs/technical-documentation/table-shells.html" target="_blank" STYLE="text-decoration:underline;">American Community Survey Summary File Documentation page</A>.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.</DIV></DIV></DIV> American Community Survey ACS Census Census Bureau demographics people states counties tracts current year Poverty Age Demographics American Community Survey Policy at risk recent Esri Demographics RIDSP U.S. Census Bureau's American Community Survey (ACS) 2020-2024 5-year estimates, Table(s) B17020, C17002, Esri Demographics, RIDSP -71.912343 -71.089746 42.018913 41.124387 Publication date 2020-01-01T00:00:00 2024-12-31T00:00:00 Transportation Equity Benefit Analysis Rhode Island, US Garth Hoxsie-Quinn RI Division of Statewide Planning Supervising GIS Specialist Providence RI 02908 garth.hoxsiequinn@doa.ri.gov US 401-537-7186 Garth Hoxsie-Quinn RI Division of Statewide Planning Supervising GIS Specialist Providence RI 02908 garth.hoxsiequinn@doa.ri.gov 401-537-7186 Garth Hoxsie-Quinn Enterprise Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE TRANS_TIP_TEBA_2024_Poverty Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. GEOID Geographic Identifier - FIPS Code String 11 0 0 NAME Tract Name String 255 0 0 County County Name String 255 0 0 B17020_001E Total Population for whom Poverty Status is Determined Integer 4 10 0 B17020_002E Population whose income in the past 12 months is below federal poverty level Integer 4 10 0 B17020_calc_pctPovE Percent of Population whose income in the past 12 months is below poverty level Double 8 38 8 Population_Under_C17002_008E Population whose income in the past 12 months is 2.00x and under (200% or more of) the federal poverty level Integer 4 10 0 Percent_pop_under_C17002_008E_ Percent of Population whose income in the past 12 months is 2.00x and under (200% or more of) the federal poverty level Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20260225 Garth Hoxsie-Quinn RI Division of Statewide Planning Supervising GIS Specialist Providence RI 02908 garth.hoxsiequinn@doa.ri.gov 401-537-7186 Garth Hoxsie-Quinn <DIV STYLE="text-align:Left;"><DIV><DIV>This map is not the product of a Professional Land Survey. It was created by RI Statewide Planning Program for general reference, informational, planning and guidance use, and is not a legally authoritative source as to location of natural or manmade features. Proper interpretation of this map may require the assistance of appropriate professional services. RI Statewide Planning Program makes no warranty, express or implied, related to the spatial accuracy, reliability, completeness, or age of this map.</DIV></DIV></DIV> This data was brought into ArcGIS Pro from Esri Living Atlas. Esri Living Atlas ACS Poverty Status (Latest) 2026-01-29T00:00:00 2026-02-05T00:00:00 Downloaded on 2026/2/11 This layer shows poverty status by age, and ratio of income to poverty level. 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. Poverty status and ratio of income to poverty level is based on income in past 12 months of survey. 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. 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. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2020-2024 ACS Table(s): B17020, C17002 (Not all lines of ACS table C17002 are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 29, 2026 National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS): About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the 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 as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER (download ZIP file here, ~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 TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all U.S. states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Two Census tracts in Louisiana (22075050100 and 22087030105) with were simplified to reduce their vertex count. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations: The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small. This data was imported to ArcGIS Pro from Esri Living Atlas. The Individuals in Poverty/Low-Income (200% of Poverty Level) field was calculated as follows: 100-Percent of population whose income in the past 12 months is 2.00x and over (200% of) the federal poverty level. 2026-02-16T00:00:00 Garth Hoxsie-Quinn RI Division of Statewide Planning Supervising GIS Specialist Providence RI 02908 garth.hoxsiequinn@doa.ri.gov 401-537-7186 Garth Hoxsie-Quinn