100+ datasets found
  1. Low-Income or Disadvantaged Communities Designated by California

    • data.ca.gov
    • data.cnra.ca.gov
    • +5more
    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/.

  2. 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.

  3. Low-Income Community Bonus Credit Program

    • zenodo.org
    bin, gif, html, txt +1
    Updated Mar 21, 2025
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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.

  4. 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.

  5. 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

  6. Low Income Communities- 30% or More of Population Under HUD 80% AMI and...

    • data.virginia.gov
    Updated Sep 12, 2024
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    Virginia Department of Environmental Quality (2024). Low Income Communities- 30% or More of Population Under HUD 80% AMI and Under Two Times Federal Poverty Level (2011-2018 ACS) Open Data [Dataset]. https://data.virginia.gov/dataset/low-income-communities-30-or-more-of-population-under-hud-80-ami-and-under-two-times-federal-po
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    arcgis geoservices rest api, csv, html, kmlAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Description

    This dataset represents the geospatial extent as polygons and the corresponding attribution for census block groups that meet the definition of low-income communities according to the Virginia 2020 Environmental Justice Act: “Low-income community” definition: “’Low-income community’ means any census block group in which 30 percent or more of the population is composed of people with low income.”

    The referenced “low income” definition is also provided below: “Low income” definition: “’Low income’ means having an annual household income equal to or less than the greater of (i) an amount equal to 80 percent of the median income of the area in which the household is located, as reported by the Department of Housing and Urban Development, and (ii) 200 percent of the Federal Poverty Level.”


    Click Here to view Data Fact Sheet.

  7. l

    Low to Moderate Income Population by Block Group

    • data.lojic.org
    • hudgis-hud.opendata.arcgis.com
    • +1more
    Updated Oct 2, 2024
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    Department of Housing and Urban Development (2024). Low to Moderate Income Population by Block Group [Dataset]. https://data.lojic.org/datasets/HUD::low-to-moderate-income-population-by-block-group
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    Dataset updated
    Oct 2, 2024
    Dataset authored and provided by
    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 from the 2011-2015 American Community Survey (ACS). 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 Block GroupDate of Coverage: ACS 2020-2016

  8. 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/

  9. 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/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 .

  10. v

    Low Income Communities- 30% or More of Population Under HUD 80% AMI and...

    • vgin.vdem.virginia.gov
    Updated Jun 2, 2022
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    maddie.moore_VADEQ (2022). Low Income Communities- 30% or More of Population Under HUD 80% AMI and Under Two Times Federal Poverty Level (2011-2018 ACS) Open Data [Dataset]. https://vgin.vdem.virginia.gov/items/2e157479b19f4d1c91af03c41f82460f
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    Dataset updated
    Jun 2, 2022
    Dataset authored and provided by
    maddie.moore_VADEQ
    Area covered
    Description

    This dataset represents the geospatial extent as polygons and the corresponding attribution for census block groups that meet the definition of low-income communities according to the Virginia 2020 Environmental Justice Act: “Low-income community” definition: “’Low-income community’ means any census block group in which 30 percent or more of the population is composed of people with low income.”

    The referenced “low income” definition is also provided below: “Low income” definition: “’Low income’ means having an annual household income equal to or less than the greater of (i) an amount equal to 80 percent of the median income of the area in which the household is located, as reported by the Department of Housing and Urban Development, and (ii) 200 percent of the Federal Poverty Level.”Click Here to view Data Fact Sheet.

  11. 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.

  12. a

    HUD - Low Income Housing Tax Credit Qualified Tracts (Cuyahoga County)

    • hub.arcgis.com
    • giscommons-countyplanning.opendata.arcgis.com
    Updated Aug 8, 2024
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    Cuyahoga County Planning Commission (2024). HUD - Low Income Housing Tax Credit Qualified Tracts (Cuyahoga County) [Dataset]. https://hub.arcgis.com/datasets/fee0f49e3ef64042b76c4dce02328a63
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Cuyahoga County Planning Commission
    Area covered
    Description

    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. To learn more about Qualified Census Tracts (QCT)visit: https://www.huduser.gov/portal/datasets/qct.htmlData Dictionary: DD_Qualified Census Tracts Date of Coverage: 2024

  13. 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.

  14. Data from: Public Use Data (2008-10) on Long-Term Neighborhood Effects on...

    • icpsr.umich.edu
    Updated Jan 15, 2014
    + more versions
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    Ludwig, Jens; Duncan, Greg J.; Gennetian, Lisa A.; Katz, Lawrence; Kessler, Ronald; Kling, Jeffrey; Sanbonmatsu, Lisa (2014). Public Use Data (2008-10) on Long-Term Neighborhood Effects on Low-Income Families (Adult Data Only) from All Five Sites of the Moving to Opportunity Experiment [Dataset]. http://doi.org/10.3886/ICPSR34976.v1
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    Dataset updated
    Jan 15, 2014
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ludwig, Jens; Duncan, Greg J.; Gennetian, Lisa A.; Katz, Lawrence; Kessler, Ronald; Kling, Jeffrey; Sanbonmatsu, Lisa
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34976/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34976/terms

    Time period covered
    2008 - 2010
    Area covered
    Baltimore, United States, Massachusetts, Maryland, Illinois, Chicago, California, New York (state), Los Angeles, New York City
    Description

    Nearly 9 million Americans live in extreme-poverty neighborhoods, places that also tend to be racially segregated and dangerous. Yet, the effects on the well-being of residents of moving out of such communities into less distressed areas remain uncertain. Moving to Opportunity (MTO) is a randomized housing experiment administered by the United States Department of Housing and Urban Development that gave low-income families living in high-poverty areas in five cities the chance to move to lower-poverty areas. Families were randomly assigned to one of three groups: (1) The experimental group (also called the low-poverty voucher (LPV) group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location. (2) The Section 8 group (also called the traditional voucher (TRV) group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling. (3) The control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and whatever other social programs and services to which they would otherwise be entitled. Families were tracked from baseline (1994-98) through the long-term evaluation survey fielding period (2008-10) with the purpose of determining the effects of "neighborhood" on participating families. This data collection contains data from the 3,273 adult interviews completed as part of the MTO long-term evaluation and are comprised of adult variables that have been analyzed. Using data from the long-term evaluation, the associated article reports that moving from a high-poverty to lower-poverty neighborhood leads to long-term (10- to 15-year) improvements in adult physical and mental health and subjective well-being, despite not affecting economic self-sufficiency. The data contain all adult outcomes and mediators analyzed for the associated article as well as a variety of demographic and other baseline measures that were controlled for in the analysis.

  15. N

    Using Tax Credits to Introduce Supermarkets in Low-Income Areas Datasets

    • datacatalog.med.nyu.edu
    Updated Jun 24, 2024
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    Brian Elbel (2024). Using Tax Credits to Introduce Supermarkets in Low-Income Areas Datasets [Dataset]. https://datacatalog.med.nyu.edu/dataset/10137
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    Dataset updated
    Jun 24, 2024
    Dataset provided by
    NYU Health Sciences Library
    Authors
    Brian Elbel
    Time period covered
    Jan 1, 2011 - Dec 31, 2012
    Area covered
    New York (State) - New York City
    Description

    Researchers collected data in the South Bronx to determine the impact of government-subsidized supermarkets in high-need areas on food availability and dietary habits. Data was collected in Morrisania, a community in the South Bronx where the government-subsidized New York City FRESH Program supermarket was opened and in Highbridge, a comparison community in the South Bronx that does not have a similar program.

    Data was collected via street-intercept survey and follow-up 24 hour recall over the telephone on the habits of children through their parents/caregivers. Data collection occurred in 2011 in three waves: in Morrisania before the supermarket opened, in Morrisania after the supermarket opened, and in Highbridge. Data collected included demographic information (e.g., gender, age, race/ethnicity, household income, education, marital status, household size, and employment), where participants typically shopped for food, how far they travelled to their usual store, whether participants had heard of a new store opening in their neighborhood, household food availability of selected healthful and unhealthful foods, and food consumption habits. A total of 2230 surveys were collected.

  16. d

    Office of Finance and Development State Low-Income Housing Tax Credits...

    • datadiscoverystudio.org
    • data.ny.gov
    • +2more
    csv, json, rdf, xml
    Updated Feb 3, 2018
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    (2018). Office of Finance and Development State Low-Income Housing Tax Credits (SLIHTC) and Subsidy Only Projects. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ae0aa5496a6749989748c28ec95816fd/html
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    json, xml, csv, rdfAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: Listing of state tax credit and subsidies awarded by NYS Homes & Community Renewal s Office of Finance and Development. Details include award amount, developer name, project location, and accomplishments for completed projects based on project types.; abstract: Listing of state tax credit and subsidies awarded by NYS Homes & Community Renewal s Office of Finance and Development. Details include award amount, developer name, project location, and accomplishments for completed projects based on project types.

  17. 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
    Explore at:
    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.

  18. D

    Low Income Housing Tax Credit Sites 2015

    • detroitdata.org
    • data.ferndalemi.gov
    • +4more
    Updated May 12, 2017
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    Data Driven Detroit (2017). Low Income Housing Tax Credit Sites 2015 [Dataset]. https://detroitdata.org/dataset/low-income-housing-tax-credit-sites-2015
    Explore at:
    arcgis geoservices rest api, zip, geojson, csv, kml, htmlAvailable download formats
    Dataset updated
    May 12, 2017
    Dataset provided by
    Data Driven Detroit
    Description

    HUD provided site locations for developments using Low-Income Housing Tax Credits for 2015. Data was obtained for the Housing section of Little Caesar's Arena District Needs Assessment.


    Click here for metadata (descriptions of the fields).

  19. s

    Persistent low income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jan 23, 2025
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    Race Disparity Unit (2025). Persistent low income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/low-income/latest
    Explore at:
    csv(81 KB), csv(304 KB)Available download formats
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Between 2018 and 2022, people in households in the ‘other’, Asian and black ethnic groups were the most likely to be in persistent low income, both before and after housing costs, out of all ethnic groups.

  20. s

    People in low income households

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 9, 2025
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    Race Disparity Unit (2025). People in low income households [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/people-in-low-income-households/latest
    Explore at:
    csv(413 KB)Available download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Between April 2008 and March 2024, households from the Pakistani and Bangladeshi ethnic groups were the most likely to live in low income out of all ethnic groups, before and after housing costs.

Share
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Click to copy link
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Close
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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
Organization logo

Low-Income or Disadvantaged Communities Designated by California

Explore at:
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/.

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