100+ datasets found
  1. a

    Median Income Map - 2020

    • opendata-westminster.hub.arcgis.com
    • demographics-westminster.opendata.arcgis.com
    • +1more
    Updated Feb 8, 2018
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    City of Westminster, Colorado (2018). Median Income Map - 2020 [Dataset]. https://opendata-westminster.hub.arcgis.com/maps/ab94484a288a4d10b7edd80708a45683
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    Dataset updated
    Feb 8, 2018
    Dataset authored and provided by
    City of Westminster, Colorado
    Area covered
    Description

    The data shown is from US Census Bureau 2020 ACS Estimates, at the census block group level.

  2. c

    Data from: Median Household Income

    • data.clevelandohio.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Median Household Income [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::median-household-income
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows median household income by race and by age of householder. 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, 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. Median income and income source is based on income in past 12 months of survey.

    This layer is symbolized to show median household income. 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: 2019-2023
    ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  3. Low and Moderate Income Areas

    • s.cnmilf.com
    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/hud-low-and-moderate-income-areas
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.

  4. a

    Data from: Median Household Income

    • vital-signs-bniajfi.hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Feb 27, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Median Household Income [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/bniajfi::median-household-income/about
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    Median household income is the middle value of the incomes earned in the prior year by households in an area. Income and earnings are inflation-adjusted for the last year of the 5-year period. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the total amount of income earned by households in an area. Source: American Community SurveyYears Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

  5. a

    Median Income and AMI (census tract)

    • equity-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +2more
    Updated Sep 21, 2021
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    County of Los Angeles (2021). Median Income and AMI (census tract) [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/median-income-and-ami-census-tract
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    Dataset updated
    Sep 21, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    For source data: https://data.census.gov/table/ACSST5Y2023.S1903For HUD income limits: https://www.huduser.gov/portal/datasets/il.htmlFor more information about this dataset, please contact egis@isd.lacounty.gov

  6. Low-Income Community Bonus Credit Program

    • zenodo.org
    bin, gif, html, txt +1
    Updated Mar 21, 2025
    + more versions
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    Zenodo (2025). Low-Income Community Bonus Credit Program [Dataset]. http://doi.org/10.5281/zenodo.15061838
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    zip, bin, gif, txt, htmlAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IRA Low-Income Community Bonus Credit Program Layers

    These geospatial data resources and the linked mapping tool below reflect currently available data on three categories of potentially qualifying Low-Income communities:

    1. Census tracts that meet the CDFI's New Market Tax Credit Program's threshold for Low Income, thereby are able to apply to Category 1.
    2. Census tracts that meet the White House's Climate and Economic Justice Screening Tool's threshold for disadvantage in the 'Energy' category, thereby are able to apply for Additional Selection Criteria Geography.
    3. Counties that meet the USDA's threshold for Persistent Poverty, thereby are able to apply for Additional Selection Criteria Geography.

    Note that Category 2 - Indian Lands are not shown on this map. Note that Persistent Poverty is not calculated for US Territories. Note that CEJST Energy disadvantage is not calculated for US Territories besides Puerto Rico.

    The excel tool provides the land area percentage of each 2023 census tract meeting each of the above categories. To examine geographic eligibility for a specific address or latitude and longitude, visit the program's mapping tool.

    Additional information on this tax credit program can be found on the DOE Landing Page for the 48e program at https://www.energy.gov/diversity/low-income-communities-bonus-credit-program or the IRS Landing Page at https://www.irs.gov/credits-deductions/low-income-communities-bonus-credit.

    Maps last updated: September 1st, 2024
    Next map update expected: December 7th, 2024

    Disclaimer: The spatial data and mapping tool is intended for geolocation purposes. It should not be relied upon by taxpayers to determine eligibility for the Low-Income Communities Bonus Credit Program.

    Source Acknowledgements:

    1. The New Market Tax Credit (NMTC) Tract layer using data from the 2016-2020 ACS is from the CDFI Information Mapping System (CIMS) and is created by the U.S. Department of Treasury Community Development Financial Institutions Fund. To learn more, visit CDFI Information Mapping System (CIMS) | Community Development Financial Institutions Fund (cdfifund.gov). https://www.cdfifund.gov/mapping-system. Tracts are displayed that meet the threshold for the New Market Tax Credit Program.
    2. The 'Energy' Category Tract layer from the Climate and Economic Justice Screening Tool (CEJST) is created by the Council on Environmental Quality (CEQ) within the Executive Office of the President. To learn more, visit https://screeningtool.geoplatform.gov/en/. Tracts are displayed that meet the threshold for the 'Energy' Category of burden. I.e., census tracts that are at or above the 90th percentile for (energy burden OR PM2.5 in the air) AND are at or above the 65th percentile for low income.
    3. The Persistent Poverty County layer is created by joining the U.S. Department of Agriculture, Economic Research Service's Poverty Area Official Measures dataset, with relevant county TIGER/Line Shapefiles from the US Census Bureau. To learn more, visit https://www.ers.usda.gov/data-products/poverty-area-measures/. Counties are displayed that meet the thresholds for Persistent Poverty according to 'Official' USDA updates. i.e. areas with a poverty rate of 20.0 percent or more for 4 consecutive time periods, about 10 years apart, spanning approximately 30 years (baseline time period plus 3 evaluation time periods). Until Dec 7th, 2024 both the USDA estimates using 2007-2011 and 2017-2021 ACS 5-year data. On Dec 8th, 2024, only the USDA estimates using 2017-2021 data will be accepted for program eligibility.

  7. Low and Moderate Income Areas Map

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    csv, xlsx, xml
    Updated Aug 24, 2023
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    Housing and Urban Development (HUD) (2023). Low and Moderate Income Areas Map [Dataset]. https://citydata.mesaaz.gov/Census/Low-and-Moderate-Income-Areas-Map/rpdt-ydtu
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Housing and Urban Development (HUD)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    FY2024 full and partial census tracts that qualify as Low-Moderate Income Areas (LMA) where 51% or more of the population are considered as having Low-Moderate Income. The low- and moderate-income summary data (LMISD) is based on the 2016-2020 American Community Survey (ACS). As of August 1, 2024, to qualify any new low- and moderate-income area (LMA) activities, Community Development Block Grant (CDBG) grantees should use this map and data.

    For more information about LMA/LMI click the following link to open in new browser tab https://www.hudexchange.info/programs/cdbg/cdbg-low-moderate-income-data/

  8. c

    What are the predominant household incomes?

    • hub.scag.ca.gov
    • data.amerigeoss.org
    • +2more
    Updated Feb 1, 2022
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    rdpgisadmin (2022). What are the predominant household incomes? [Dataset]. https://hub.scag.ca.gov/maps/3b83af39cb1f4dbe968f7383d6441a8b
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This map shows the predominant household income by county, tract, and block group in the US in 2018. County is symbolized using color for the predominant income range. Tract and block group use color and size to show the predominant income range and count of total households. There are 9 income ranges:Household Income less than $15,000Household Income $15,000-$24,999Household Income $25,000-$34,999Household Income $35,000-$49,999Household Income $50,000-$74,999Household Income $75,000-$99,999Household Income $100,000-$149,999Household Income $150,000-$199,999Household Income $200,000 or greaterThe source of data is Esri's 2018 Demographic estimates. For more information about Esri's demographic data, visit the Updated Demographics documentation.

  9. d

    Income - ACS 2017-2021 - Tempe Tracts

    • catalog.data.gov
    • data-academy.tempe.gov
    • +9more
    Updated Sep 20, 2024
    + more versions
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    City of Tempe (2024). Income - ACS 2017-2021 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/income-acs-2017-2021-tempe-tracts-d357b
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This layer shows household income ranges for households, families, married couple families, and nonfamily households (as defined by the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes:Total households (of various types including households, families, married couple families, and nonfamily households as defined by the U.S. Census)Household income bracketsHousehold median income in dollarsHousehold mean income in dollarsA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Current Vintage: 2017-2021ACS Table(s): S1901 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.gov

  10. d

    Income - ACS 2015-2019 - Tempe Tracts

    • catalog.data.gov
    • data-academy.tempe.gov
    • +9more
    Updated Sep 20, 2024
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    City of Tempe (2024). Income - ACS 2015-2019 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/income-acs-2015-2019-tempe-tracts-9863f
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter. -----------------------------------------This layer shows household income ranges for households, families, married couple families, and nonfamily households (as defined by the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates and joined with Tempe census tracts.This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). Layer includes: <!--· Total households (of various types including households, families, married couple families, and nonfamily households as defined by the U.S. Census) <!--· Household income brackets <!--· Household median income in dollars <!--· Household mean income in dollars An 'N' entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates. Current Vintage: 2015-2019 ACS Table(s): S1901 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: December 10, 2020 National Figures: data.census.gov

  11. Low-Income or Disadvantaged Communities Designated by California

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Jun 11, 2025
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    California Energy Commission (2025). Low-Income or Disadvantaged Communities Designated by California [Dataset]. https://data.cnra.ca.gov/dataset/low-income-or-disadvantaged-communities-designated-by-california
    Explore at:
    kml, csv, arcgis geoservices rest api, geojson, zip, htmlAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description

    This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.


    Data downloaded in May 2022 from https://webmaps.arb.ca.gov/PriorityPopulations/.

  12. d

    Data from: Median Household Income

    • catalog.data.gov
    • portal.datadrivendetroit.org
    • +4more
    Updated Feb 21, 2025
    + more versions
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    Data Driven Detroit (2025). Median Household Income [Dataset]. https://catalog.data.gov/dataset/median-household-income-fc29b
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Description

    These Socioeconomic Indicators are from the American Community Survey, 2014 5-year estimates. They are at Zip Code level for Oakland, Macomb and Wayne Counties.

  13. c

    Low to Moderate Income Population by Census Tract in Monroe County, NY

    • data.cityofrochester.gov
    • hub.arcgis.com
    Updated Feb 8, 2022
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    Open_Data_Admin (2022). Low to Moderate Income Population by Census Tract in Monroe County, NY [Dataset]. https://data.cityofrochester.gov/maps/aa6a0d9274d649cfbb151ebcab08135e
    Explore at:
    Dataset updated
    Feb 8, 2022
    Dataset authored and provided by
    Open_Data_Admin
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This map is made using content created and owned by the federal Department of Housing and Urban Development (Esri user HUD.Official.Content). The map uses their Low to Moderate Income Population by Tract layer, filtered for only census tracts in Monroe County, NY where at least 51% of households earn less than 80 percent of the Area Median Income (AMI). The map is centered on Rochester, NY, with the City of Rochester, NY border added for context. Users can zoom out to see the Revitalization Areas for the broader county region.The Community Development Block Grant (CDBG) program requires that each CDBG funded activity must either principally benefit low- and moderate-income persons, aid in the prevention or elimination of slums or blight, or meet a community development need having a particular urgency because existing conditions pose a serious and immediate threat to the health or welfare of the community and other financial resources are not available to meet that need. With respect to activities that principally benefit low- and moderate-income persons, at least 51 percent of the activity's beneficiaries must be low and moderate income. For CDBG, a person is considered to be of low income only if he or she is a member of a household whose income would qualify as "very low income" under the Section 8 Housing Assistance Payments program. Generally, these Section 8 limits are based on 50% of area median. Similarly, CDBG moderate income relies on Section 8 "lower income" limits, which are generally tied to 80% of area median. These data are derived from the 2011-2015 American Community Survey (ACS) and based on Census 2010 geography.Please refer to the Feature Layer for date of last update.Data Dictionary: DD_Low to Moderate Income Populations by Tract

  14. d

    Landing Page

    • datadiscoverystudio.org
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    Esri, Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f7884ea19e2a4e0db5673f9349157a3d/html
    Explore at:
    Authors
    Esri
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  15. a

    2000 Median Household Income

    • hub.arcgis.com
    • gis.data.mass.gov
    Updated Jul 12, 2012
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    Town of Brookline, Massachusetts (2012). 2000 Median Household Income [Dataset]. https://hub.arcgis.com/datasets/12e44621d87a4d2b8321f88d401c6496
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    Dataset updated
    Jul 12, 2012
    Dataset authored and provided by
    Town of Brookline, Massachusetts
    Area covered
    Description

    Map Tips 1. Click on the Legend to view Median Household Income information.2. Zoom and Pan any map to see synchronized view of all maps.3. Click on Maps area to see median household income in Dollars for individual Census Tract. (Please pan the map to see full extent of charts and graphs if they are cut off by map window).

  16. ACS Median Household Income Variables - Centroids

    • places-lincolninstitute.hub.arcgis.com
    • hub.arcgis.com
    • +4more
    Updated Oct 22, 2018
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    Esri (2018). ACS Median Household Income Variables - Centroids [Dataset]. https://places-lincolninstitute.hub.arcgis.com/datasets/esri::acs-median-household-income-variables-centroids
    Explore at:
    Dataset updated
    Oct 22, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows median household income by race and by age of householder. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. 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: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto 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).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.

  17. a

    Detroit Demographic Analysis

    • africageoportal.com
    Updated Feb 13, 2021
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    Africa GeoPortal (2021). Detroit Demographic Analysis [Dataset]. https://www.africageoportal.com/maps/11dd67fa606a4c8cb2fb9777d392be4e
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    Dataset updated
    Feb 13, 2021
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map shows demographic and income data in Detroit. Assuming an assignment where the poverty fighting charity I work for would like to alleviate suffering among impoverished children in Detroit. Detroit is a Michigan city that always ranks among America's poorest urban centers. Orange circles have below average median household income, the darker shades indicate households with a very low income-close to poverty level. The size of the circles: larger circles indicate a greater number of children in the area.What stands out is the obvioud pattern of low-income households in the city center combined with areas of high child population. This pattern helps answer where in Detroit our charity will focus its resources to help children living in poverty-in places shown on the map where there is a cluster of several large dark Orange circles like Dearborn and Pontiac (for example). The charity may and will offer free after school care and/Or but not limited to breakfast programs.

  18. a

    Median Income by Census Tracts Web Map

    • informationhub-chathamncgis.hub.arcgis.com
    Updated May 23, 2025
    + more versions
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    Chatham County GIS Portal (2025). Median Income by Census Tracts Web Map [Dataset]. https://informationhub-chathamncgis.hub.arcgis.com/maps/0a75315b68ce44fd95605710e9eabdb9
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Chatham County GIS Portal
    Area covered
    Description

    Median Income by Census Tract in Chatham County Web Map (2017-2023)Income in the Past 12 Months (in corresponding year's Inflation-Adjusted Dollars)Data was downloaded at census.gov. U.S. Census Bureau, U.S. Department of Commerce. "Income in the Past 12 Months (in corresponding year's Inflation-Adjusted Dollars)." American Community Survey, ACS 5-Year Estimates Subject TablesThis data was created as part of the Manager's Office Chatham County Performance Hub.

  19. Housing Cost as a Percentage of Income Map

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 27, 2016
    + more versions
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    United States Census Bureau American Community Survey (2016). Housing Cost as a Percentage of Income Map [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/aGY4bS03emFu
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 27, 2016
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    This dataset contains information about the percent of income households spend on housingin cities in San Mateo County. This data is for owner occupied housing with or without a mortgage. This data was extracted from the United States Census Bureau's American Community Survey 2014 5 year estimates.

  20. t

    Household Income Distribution Details

    • prod.testopendata.com
    Updated Dec 7, 2022
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    City of Seattle ArcGIS Online (2022). Household Income Distribution Details [Dataset]. https://prod.testopendata.com/maps/SeattleCityGIS::household-income-distribution-details-1
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    Dataset updated
    Dec 7, 2022
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    This layer shows household income ranges and cutoffs and is symbolized to show the percentage of households that make under $75,000 annually. This is shown by 2020 census tract boundaries. This layer uses the 2020 American Community Survey (ACS) 5-year data and contains estimates and margins of error. There are additional calculated attributes related to this topic, which can be mapped or used within analysis. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. For more information regarding the ACS vintage, table sources and data processing notes, please see the item page for the source map service.

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City of Westminster, Colorado (2018). Median Income Map - 2020 [Dataset]. https://opendata-westminster.hub.arcgis.com/maps/ab94484a288a4d10b7edd80708a45683

Median Income Map - 2020

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Dataset updated
Feb 8, 2018
Dataset authored and provided by
City of Westminster, Colorado
Area covered
Description

The data shown is from US Census Bureau 2020 ACS Estimates, at the census block group level.

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