100+ datasets found
  1. Low and Moderate Income Areas

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. 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.

  2. Low to Moderate Income Population by Tract

    • data.lojic.org
    • hudgis-hud.opendata.arcgis.com
    • +1more
    Updated Jul 31, 2023
    + more versions
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    Department of Housing and Urban Development (2023). Low to Moderate Income Population by Tract [Dataset]. https://data.lojic.org/datasets/3bd6767dcc5e4937a6232d9db04dd447
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    Dataset updated
    Jul 31, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    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.

    To learn more about the Low to Moderate Income Populations visit: https://www.hudexchange.info/programs/acs-low-mod-summary-data/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Low to Moderate Income Populations by Tract

  3. g

    Low to Moderate Income Population by Tract | gimi9.com

    • gimi9.com
    Updated Mar 1, 2024
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    (2024). Low to Moderate Income Population by Tract | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_low-to-moderate-income-population-by-tract
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    Dataset updated
    Mar 1, 2024
    Description

    This service identifies U.S. Census Tracts in which 51% or more of the households earn less than 80 percent of the Area Median Income (AMI). 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.

  4. Low and Moderate Income Areas Map

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    application/rdfxml +5
    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
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    application/rdfxml, csv, xml, json, application/rssxml, tsvAvailable 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/

  5. Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts [Dataset]. https://catalog.data.gov/dataset/qualified-census-tracts
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income less than 60% of the Area Median Gross Income (AMGI). HUD has defined 60% of AMGI as 120% of HUD's Very Low Income Limits (VLILs), which are based on 50% of area median family income, adjusted for high cost and low income areas.

  6. Low-Income Housing Tax Credit (LIHTC) Qualified Census Tract (QCT)

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit (LIHTC) Qualified Census Tract (QCT) [Dataset]. https://catalog.data.gov/dataset/low-income-housing-tax-credit-lihtc-qualified-census-tract-qct
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    The Low-Income Housing Tax Credit (LIHTC) is the most important resource for creating affordable housing in the United States today. The LIHTC database, created by HUD and available to the public since 1997, contains information on 48,672 projects and 3.23 million housing units placed in service since 1987. Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data.

  7. Low-Income or Disadvantaged Communities Designated by California

    • data.cnra.ca.gov
    • data.ca.gov
    • +4more
    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
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    zip, geojson, csv, arcgis geoservices rest api, html, kmlAvailable 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/.

  8. c

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

    • data.cityofrochester.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 7, 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/datasets/low-to-moderate-income-population-by-census-tract-in-monroe-county-ny
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    Dataset updated
    Feb 7, 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

  9. d

    Connecticut Qualified Census Tracts

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Jun 21, 2025
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    data.ct.gov (2025). Connecticut Qualified Census Tracts [Dataset]. https://catalog.data.gov/dataset/ct-qualified-census-tracts
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.ct.gov
    Area covered
    Connecticut
    Description

    This dataset provides access to Qualified Census Tracts (QCTs) in Connecticut to assist in administration of American Rescue Plan (ARP) funds. The Secretary of HUD must designate QCTs, which are areas where either 50 percent or more of the households have an income less than 60 percent of the AMGI for such year or have a poverty rate of at least 25 percent. HUD designates QCTs based on new income and poverty data released in the American Community Survey (ACS). Specifically, HUD relies on the most recent three sets of ACS data to ensure that anomalous estimates, due to sampling, do not affect the QCT status of tracts. QCTs are identified for the purpose of Low-Income Housing Credits under IRC Section 42, with the purpose of increasing the availability of low-income rental housing by providing an income tax credit to certain owners of newly constructed or substantially rehabilitated low-income rental housing projects. Also included are the number of households from the 2010 census (the “p0150001” variable), the average poverty rate using the 2014-2018 ACS data (the “pov_rate_18” variable), and the ratio of Tract Average Household Size Adjusted Income Limit to Tract Median Household Income using the 2014-2018 ACS data (the “inc_factor_18” variable). For the last variable mentioned in the previous paragraph, the income limit is the limit for being considered a very low income household (size-adjusted and based on Area Mean Gross Income). This value is divided by the median household income for the given tract, to get a sense of how the limit and median incomes compare. For example, if ratio>1, it implies that the tract is very low income because the limit income is greater than the median income. This ratio is a compact way to include the separate variables for the household income limit and median household income for each tract.

  10. l

    Median Income and AMI (census tract)

    • data.lacounty.gov
    • geohub.lacity.org
    • +3more
    Updated Sep 21, 2021
    + more versions
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    County of Los Angeles (2021). Median Income and AMI (census tract) [Dataset]. https://data.lacounty.gov/maps/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

  11. a

    Data from: Median Household Income

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Median Household Income [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/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.

  12. Census Tract Designations - Dataset - U.S. Small Business Administration...

    • data.sba.gov
    • fanyv88.com
    Updated Jul 1, 2023
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    data.sba.gov (2023). Census Tract Designations - Dataset - U.S. Small Business Administration (SBA) | Open Data [Dataset]. https://data.sba.gov/fr/dataset/censustractdesignations
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    Dataset updated
    Jul 1, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    License

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

    Description

    A census tract is a statistical subdivision of counties that may include just a few neighborhoods in a city or, in rural areas, may include several towns. HUD designates Qualified Census Tracts (QCTs) for purposes of the Low Income Housing Tax Credit (LIHTC) program. To qualify, census tract must either: demonstrate a poverty rate of at least 25 percent, or 50 percent or more of its householders must have incomes below 60 percent of the area median household income.

  13. SB 1000 Populations

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    Updated Jan 17, 2025
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    California Energy Commission (2025). SB 1000 Populations [Dataset]. https://data.cnra.ca.gov/dataset/sb-1000-populations
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    csv, arcgis geoservices rest api, geojson, kml, html, zipAvailable download formats
    Dataset updated
    Jan 17, 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

    Description
    Definitions:
    • Urban: Contiguous urban census tracts with a population of 50,000 or greater. Urban census tracts are tracts where at least 10 percent of the tract's land areas is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    • Rural Center: Contiguous urban census tracts with a population of less than 50,000. Urban census tracts are tracts where at least 10 percent of the tract's land area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    • Rural: Census tracts where less than 10 percent of the tract's land area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    • Disadvantaged Community (DAC): Census tracts that score within the top 25th percentile of the Office of Environmental Health Hazards Assessment’s California Communities Environmental Health Screening Tool (CalEnviroScreen) 4.0 scores, as well as areas of high pollution and low population, such as ports.
    • Low-income Community (LIC): 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 pursuant to Section 50093 of the California Health and Safety Code.
    • Middle-income Community (MIC): Census tracts with median household incomes between 80 to 120 percent of the statewide median income, or with median household incomes between the threshold designated as low- and moderate-income by the Department of Housing and Community Development’s list of state income limits adopted pursuant to section 50093 of the California Health and Safety Code.
    • High-income Community (HIC): Census tracts with median household income at or above 120 percent of the statewide median income or with median household incomes at or above the threshold designated as moderate-income by the Department of Housing and Community Development’s list of state income limits adopted pursuant to section 50093 of the California Health and Safety Code.

    Data Dictionary:
    • ObjectID1_: Unique ID
    • Shape: Geometric form of the feature
    • STATEFP: State FIPS Code
    • COUNTYFP: County FIPS Code
    • COUNTY: County Name
    • Tract: Census Tract ID
    • Population_2019_5YR: Population from the American Community Survey 2019 5-Year Estimates
    • Pop_dens: Census tract designation as Urban, Rural Center, or Rural
    • DAC: Census tract designation as Disadvantaged or not (DAC or Not DAC)
    • Income_Group: Census tract designation as Low-, Middle-, or High-income Community (LIC, MIC, or HIC)
    • Priority_pop: Census tract designation as Low-income and/or Disadvantaged or not (LIC and/or DAC, or Not LIC and/or DAC)
    • Shape_Length: Census tract shape area (square meters)
    • Shape_Area: Census tract shape length (square meters)
    Data sources:
  14. Qualified Census Tracts

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Mar 18, 2021
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    US Department of Housing and Urban Development (2021). Qualified Census Tracts [Dataset]. https://catalog.data.gov/he/dataset/qualified-census-tracts
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    Dataset updated
    Mar 18, 2021
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income less than 60% of the Area Median Gross Income (AMGI). HUD has defined 60% of AMGI as 120% of HUD's Very Low Income Limits (VLILs), which are based on 50% of area median family income, adjusted for high cost and low income areas.

  15. a

    Dallas Median Income by Census Tract

    • hub.arcgis.com
    • gisservices-dallasgis.opendata.arcgis.com
    Updated Mar 28, 2022
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    City of Dallas GIS Services (2022). Dallas Median Income by Census Tract [Dataset]. https://hub.arcgis.com/maps/c29c531bd1ba454a8cfba78f39c43764
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    Dataset updated
    Mar 28, 2022
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    This map 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: 2016-2020ACS 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: March 17, 2022The 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 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 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.Copyright Text: U.S. Census Bureau's American Community Survey (ACS) 2016-2020 5-year estimates, Table(s) B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

  16. a

    CDBG Eligibility By Census Tracts

    • hub.arcgis.com
    Updated Jun 20, 2019
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    NYC DCP Mapping Portal (2019). CDBG Eligibility By Census Tracts [Dataset]. https://hub.arcgis.com/maps/DCP::cdbg-eligibility-by-census-tracts
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    Dataset updated
    Jun 20, 2019
    Dataset authored and provided by
    NYC DCP Mapping Portal
    Area covered
    Description

    The U.S. Department of Housing and Urban Development requires local municipalities that receive CDBG formula entitlement funds to use the 2016-2020 ACS LMISD data file to determine where CDBG funds may be used for activities that are available to all the residents in a particular area. A CD-eligible census tract refers to 2010 census tracts where the area is primarily residential and at least 51.0% of the residents are low- and moderate-income as per the LMISD data file. For New York City, a primarily residential area is defined as one where at least 50.0% of the total built floor area is residential as determined by PLUTO 24v4. Low and moderate-income persons are defined as persons living in households with incomes below 80 percent of the area median household income (AMI).

  17. g

    Community Development Block Grant (CDBG) Eligibility by Census Tract - FGDB...

    • gimi9.com
    Updated Dec 12, 2024
    + more versions
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    (2024). Community Development Block Grant (CDBG) Eligibility by Census Tract - FGDB | gimi9.com [Dataset]. https://gimi9.com/dataset/ny_3u5q-ae5y
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    Dataset updated
    Dec 12, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Community Development Block Grant (CDBG) eligible and ineligible census tracts. The U.S. Department of Housing and Urban Development requires local municipalities that receive CDBG formula entitlement funds to use the 2011-2015 ACS LMISD data file to determine where CDBG funds may be used for activities that are available to all the residents in a particular area. A CD-eligible census tract refers to 2010 census tracts where the area is primarily residential and at least 51.0% of the residents are low- and moderate-income as per the LMISD data file. For New York City, a primarily residential area is defined as one where at least 50.0% of the total built floor area is residential as determined by PLUTO 18v2.1. Low- and moderate-income persons are defined as persons living in households with incomes below 80 percent of the area median household income (AMI). The New York Primary Metropolitan Statistical Area's AMI was $70,300 for a 4-person family at the release of the 2011-2015 American Community Survey. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

  18. P

    US HUD Qualified Census Tracts

    • data.pompanobeachfl.gov
    • geohub-bcgis.opendata.arcgis.com
    Updated Jan 27, 2022
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    External Datasets (2022). US HUD Qualified Census Tracts [Dataset]. https://data.pompanobeachfl.gov/dataset/us-hud-qualified-census-tracts
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    arcgis geoservices rest api, html, zip, csv, kml, geojsonAvailable download formats
    Dataset updated
    Jan 27, 2022
    Dataset provided by
    BCGISData
    Authors
    External Datasets
    Area covered
    United States
    Description

    A feature service produced by U.S. Department of Housing and Urban Development (U.S. HUD) that provides data on Qualified Census Tracts for the Low-Income Housing Tax Credit (LIHTC) Program. LIHTC Qualified Census Tracts, as defined under the section 42(d)(5)(C) of the of the Internal Revenue Code of 1986, include any census tract (or equivalent geographic area defined by the Bureau of the Census) in which at least 50 percent of households have an income less than 60 percent of the Area Median Gross Income (AMGI), or which has a poverty rate of at least 25 percent.


    Date of Coverage: 2021
    Data Updated: Annually

  19. a

    Low Income Community Census Tracts - 2016-2020 ACS

    • ars-geolibrary-usdaars.hub.arcgis.com
    • regionaldatahub-brag.hub.arcgis.com
    Updated Oct 6, 2022
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    ArcGIS Living Atlas Team (2022). Low Income Community Census Tracts - 2016-2020 ACS [Dataset]. https://ars-geolibrary-usdaars.hub.arcgis.com/datasets/arcgis-content::low-income-community-census-tracts-2016-2020-acs
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    Dataset updated
    Oct 6, 2022
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This layer contains American Community Survey (ACS) 2016-2020 5-year estimates in order to determine if a Census tract is considered an opportunity zone/low income community. According to Tax Code Section 45D(e), low income Census Tracts are based on the following criteria:The poverty rate is at least 20 percent, ORThe median family income does not exceed 80 percent of statewide median family income or, if in a metropolitan area, the greater of 80 percent statewide median family income or 80 percent of metropolitan area median family incomeThe layer is visualized to show if a tract meets these criteria, and the pop-up provides poverty figures as well as tract, metropolitan area, and state level figures for median family income. When a tract meets the above criteria, it may also qualify for grants or findings such Opportunity Zones. These zones are designed to encourage economic development and job creation in communities throughout the country by providing tax benefits to investors who invest eligible capital into these communities. Another way this layer can be used is to gain funding through the Inflation Reduction Act of 2022. The data was downloaded on October 5, 2022 from the US Census Bureau via data.census.gov:Table B17020: Poverty Status in the Past 12 Months - TractsTable B19113: Median Family Income in the Past 12 Months (in 2020 inflation-adjusted dollars) - Tracts, Metropolitan area, StateVintage of the data: 2016-2020 American Community SurveyBoundaries used for analysis: TIGER 2020 Tract, Metro, and State Boundaries with large hydrography removed from tractsData was processed within ArcGIS Pro 3.0.2 using ModelBuilder to spatially join the metropolitan and state geographies to tracts.To see the same qualification on 2010-based Census tracts, there is also an older 2012-2016 version of the layer.

  20. Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts

    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts [Dataset]. https://catalog.data.gov/dataset/low-income-housing-tax-credit-lihtc-qualified-census-tracts
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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 provides data on Qualified Census Tracts for the Low-Income Housing Tax Credit Program for 2024. LIHTC Qualified Census Tracts, as defined under the section 42(d)(5)(C) of the of the Internal Revenue Code of 1986, include any census tract (or equivalent geographic area defined by the Bureau of the Census) in which at least 50 percent of households have an income less than 60 percent of the Area Median Gross Income (AMGI), or which has a poverty rate of at least 25 percent. Maps of Qualified Census Tracts and Difficult Development Areas are available at: huduser.gov/sadda/sadda_qct.html .

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U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
Organization logo

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.

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