9 datasets found
  1. Low and Moderate Income Areas

    • catalog.data.gov
    • s.cnmilf.com
    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

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Jul 31, 2023
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    Department of Housing and Urban Development (2023). Low to Moderate Income Population by Tract [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/low-to-moderate-income-population-by-tract
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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. 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.

  4. l

    PRO Housing Priority Geography Search

    • data.lojic.org
    • hudgis-hud.opendata.arcgis.com
    Updated Jul 26, 2023
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    Department of Housing and Urban Development (2023). PRO Housing Priority Geography Search [Dataset]. https://data.lojic.org/datasets/HUD::pro-housing-priority-geography-search
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    Dataset updated
    Jul 26, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Description

    Pathways to Removing Obstacles to Housing (PRO Housing) Pathways to Removing Obstacles to Housing, or PRO Housing, is a competitive grant program being administered by HUD. PRO Housing seeks to identify and remove barriers to affordable housing production and preservation.Under the Need rating factor, applicants will be awarded ten (10) points if their application primarily serves a ‘priority geography’. Priority geography means a geography that has an affordable housing need greater than a threshold calculation for one of three measures. The threshold calculation is determined by the need of the 90th-percentile jurisdiction (top 10%) for each factor as computed comparing only jurisdictions with greater than 50,000 population. Threshold calculations are done at the county and place level and applied respectively to county and place applicants. An application can also quality as a priority geography if it serves a geography that scores in the top 5% of its State for the same three measures. The measures are as follows: Affordable housing not keeping pace, measured as (change in population 2019-2009 divided by 2009 population) – (change in number of units affordable and available to households at 80% HUD Area Median Family Income (HAMFI) 2019-2009 divided by units affordable and available at 80% HAMFI 2009).Insufficient affordable housing, measured as number of households at 80% HAMFI divided by number of affordable and available units for households at 80% HAMFI. Widespread housing cost burden or substandard housing, measured as number of households with housing problems at 100% HAMFI divided by number of households at 100% HAMFI. Housing problems is defined as: cost burden of at least 50%, overcrowding, or substandard housing.Applicants may use this web application to search for priority geographies.For more information on Pro Housing, please visit: https://www.hud.gov/program_offices/comm_planning/pro_housing

  5. Low-Income or Disadvantaged Communities Designated by California

    • data.ca.gov
    • data.cnra.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.ca.gov/dataset/low-income-or-disadvantaged-communities-designated-by-california
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    zip, geojson, kml, csv, arcgis geoservices rest api, 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/.

  6. d

    Census-to-School Method Estimated Catchment Areas and Mean Income

    • search.dataone.org
    Updated Nov 8, 2023
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    Hashim, Shirin A; Laski, Mary E; Kelley-Kemple, Thomas (2023). Census-to-School Method Estimated Catchment Areas and Mean Income [Dataset]. http://doi.org/10.7910/DVN/G3PBNZ
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hashim, Shirin A; Laski, Mary E; Kelley-Kemple, Thomas
    Description

    This dataset includes two sets of files: (1) the school-bg files contain the block groups assigned to each school (i.e. estimated catchment areas), as well as corresponding census tracts and enrollments, using the Census-to-School (CTS) Method described in Hashim, Laski, Kelley-Kemple (2023); (2) the school-level file contains estimates for school-level mean income and variance of income derived using publicly available data on school locations from the CCD, enrollments, and census data on the number of school aged children in each block group, and the proportion of families with school-age children in each income bin in each tract. See Hashim, Laski, Kelley-Kemple (2023) for details.

  7. i

    Richest Zip Codes in New York

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in New York [Dataset]. https://www.incomebyzipcode.com/newyork
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    New York
    Description

    A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

  8. U.S. Oregon median household income 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. Oregon median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/205988/median-household-income-in-oregon/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the median household income in Oregon amounted to 88,740 U.S. dollars. This is an increase from the previous year, when the median household income amounted to 86,780 U.S. dollars. The median household income for the United States may be accessed here.

  9. U.S. per capita personal income, by state 2024

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). U.S. per capita personal income, by state 2024 [Dataset]. https://www.statista.com/statistics/303555/us-per-capita-personal-income/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Residents of the District of Columbia had the highest personal income per capita in 2024, at about ******* U.S. dollars. Mississippi residents, on the other hand, had the lowest personal income per capita, at ****** U.S. dollars. What is personal income? Personal income is the income that a worker receives from all sources, including salary, wages, bonuses, income from self-employment, dividends from investments, and receipts from real estate investments. Because of this, total personal income is different from the average wage, as personal income takes more factors into account than just salary and compensation. Income in the United States Wages and salaries in the United States can vary greatly depending on the profession a person is in, and the rise (or fall) of wages is seen as a key economic indicator as to the financial health of the country’s residents. In recent years, the increasing gap between CEO compensation and the compensation of the average worker has brought the issue of stagnating wages to the forefront of the national conversation.

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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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Low and Moderate Income Areas

Explore at:
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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