67 datasets found
  1. Low to Moderate Income Population by Tract

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Low to Moderate Income Population by Tract [Dataset]. https://catalog.data.gov/dataset/low-to-moderate-income-population-by-tract
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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 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.

  2. a

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

    • hub.arcgis.com
    • data.cityofrochester.gov
    • +1more
    Updated Feb 7, 2022
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    City of Rochester, NY (2022). Low to Moderate Income Population by Census Tract in Monroe County, NY [Dataset]. https://hub.arcgis.com/maps/aa6a0d9274d649cfbb151ebcab08135e
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    Dataset updated
    Feb 7, 2022
    Dataset authored and provided by
    City of Rochester, NY
    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

  3. a

    Low to Moderate Income Population by Block Group

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    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://hudgis-hud.opendata.arcgis.com/datasets/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
    North Pacific Ocean, Pacific Ocean
    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

  4. g

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

    • gimi9.com
    Updated Dec 12, 2024
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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

  5. a

    ACS Median Household Income Variables - Boundaries

    • sdgs.amerigeoss.org
    Updated Oct 12, 2023
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    GIS Online at UCLA (2023). ACS Median Household Income Variables - Boundaries [Dataset]. https://sdgs.amerigeoss.org/datasets/1d213b7a1790449fab63fe163290ea84
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    Dataset updated
    Oct 12, 2023
    Dataset authored and provided by
    GIS Online at UCLA
    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: 2017-2021ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 8, 2022National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2021 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.

  6. O

    Low and Moderate Income Areas Map

    • data.mesaaz.gov
    • citydata.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://data.mesaaz.gov/Census/Low-and-Moderate-Income-Areas-Map/rpdt-ydtu
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    tsv, csv, xml, application/rssxml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset authored and provided by
    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/

  7. A

    Qualified Census Tracts

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +2more
    bin
    Updated Jul 30, 2019
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    United States[old] (2019). Qualified Census Tracts [Dataset]. https://data.amerigeoss.org/es/dataset/qualified-census-tracts
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    binAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    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.

  8. Low Income Community Census Tracts - 2016 ACS

    • anrgeodata.vermont.gov
    • data.toledo.gov
    • +2more
    Updated Jan 31, 2018
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    Urban Observatory by Esri (2018). Low Income Community Census Tracts - 2016 ACS [Dataset]. https://anrgeodata.vermont.gov/maps/92e085b0953348a2857d3d3dac930337
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    Dataset updated
    Jan 31, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This layer contains 2012-2016 American Community Survey values used to determine if a community is considered a low-income community as defined by Code Section 45D(e). The map highlights if a census tract qualifies by the following considerations: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 great of 80 percent statewide median family income or 80 percent of metropolitan area median family incomeThe popup highlights the poverty rate, the median family income, and the state family income. If a tract falls into a metropolitan area, it will also include the metro area family income. This data was downloaded from the United States Census Bureau American Fact Finder. Vintage 2012-2016 ACS estimates:Table B19113 - Median Family Income - Tract, Metro Area, and State data values were pulledTable S1701 - Poverty Status in the Past 12 months- Tract data values were pulled

  9. Low-Income or Disadvantaged Communities Designated by California

    • data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Mar 13, 2024
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    California Energy Commission (2024). 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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    arcgis geoservices rest api, csv, geojson, zip, html, kmlAvailable download formats
    Dataset updated
    Mar 13, 2024
    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/.

  10. SB 1000 Populations

    • data.ca.gov
    • data.cnra.ca.gov
    • +1more
    Updated Jan 17, 2025
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    California Energy Commission (2025). SB 1000 Populations [Dataset]. https://data.ca.gov/dataset/sb-1000-populations
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    arcgis geoservices rest api, kml, zip, html, csv, geojsonAvailable 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:
  11. LIHTC Qualified Census Tracts

    • redivis.com
    application/jsonl +7
    Updated Jun 21, 2022
    + more versions
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    Environmental Impact Data Collaborative (2022). LIHTC Qualified Census Tracts [Dataset]. https://redivis.com/datasets/7pj5-4egwtbgym
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    sas, avro, parquet, spss, stata, application/jsonl, csv, arrowAvailable download formats
    Dataset updated
    Jun 21, 2022
    Dataset provided by
    Redivis Inc.
    Authors
    Environmental Impact Data Collaborative
    Description

    Abstract

    Provides data on Qualified Census Tracts for the Low-Income Housing Tax Credit Program for 2021.

    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.

  12. a

    US HUD Qualified Census Tracts

    • geohub-bcgis.opendata.arcgis.com
    • data.pompanobeachfl.gov
    • +1more
    Updated Aug 21, 2023
    + more versions
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    BCGISData (2023). US HUD Qualified Census Tracts [Dataset]. https://geohub-bcgis.opendata.arcgis.com/items/a565d000b753411a995b77c88809d288
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    BCGISData
    Area covered
    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

  13. d

    Income - ACS 2018-2022 - Tempe Tracts

    • catalog.data.gov
    • performance.tempe.gov
    • +8more
    Updated Sep 20, 2024
    + more versions
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    City of Tempe (2024). Income - ACS 2018-2022 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/income-acs-2018-2022-tempe-tracts
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    This layer shows household income ranges for households, families, married couple families, and nonfamily households (as defined by the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes:Total households (of various types including households, families, married couple families, and nonfamily households as defined by the U.S. Census)Household income bracketsHousehold median income in dollarsHousehold mean income in dollarsA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Current Vintage: 2018-2022ACS Table(s): S1901 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

  14. u

    American Community Survey

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Mar 6, 2020
    + more versions
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    Earth Data Analysis Center (2020). American Community Survey [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/d60ecfbf-c1dd-4b5e-8972-97e5eb87b5f9/metadata/FGDC-STD-001-1998.html
    Explore at:
    gml(5), csv(5), shp(5), json(5), geojson(5), kml(5), zip(5), xls(5)Available download formats
    Dataset updated
    Mar 6, 2020
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    2016
    Area covered
    New Mexico, West Bounding Coordinate -109.050173 East Bounding Coordinate -103.001964 North Bounding Coordinate 37.000293 South Bounding Coordinate 31.332172
    Description

    A broad and generalized selection of 2012-2016 US Census Bureau 2016 5-year American Community Survey race, ethnicity and citizenship data estimates, obtained via Census API and joined to the appropriate geometry (in this case, New Mexico Census tracts). The selection is not comprehensive, but allows a first-level characterization of the household income, median household income by race and by age group, Social Security income, the GINI Index, per capita income, median family income, and median household earnings by age, and by education level, in New Mexico. The determination of which estimates to include was based upon level of interest and providing a manageable dataset for users.The U.S. Census Bureau's American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data every year. The ACS collects long-form-type information throughout the decade rather than only once every 10 years. The ACS combines population or housing data from multiple years to produce reliable numbers for small counties, neighborhoods, and other local areas. To provide information for communities each year, the ACS provides 1-, 3-, and 5-year estimates. ACS 5-year estimates (multiyear estimates) are “period” estimates that represent data collected over a 60-month period of time (as opposed to “point-in-time” estimates, such as the decennial census, that approximate the characteristics of an area on a specific date). ACS data are released in the year immediately following the year in which they are collected. ACS estimates based on data collected from 2009–2014 should not be called “2009” or “2014” estimates. Multiyear estimates should be labeled to indicate clearly the full period of time. While the ACS contains margin of error (MOE) information, this dataset does not. Those individuals requiring more complete data are directed to download the more detailed datasets from the ACS American FactFinder website. This dataset is organized by Census tract boundaries in New Mexico. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. NOTE: A '-666666666' entry indicates that 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.

  15. d

    California and Justice40 Disadvantaged or Low-income Communities

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). California and Justice40 Disadvantaged or Low-income Communities [Dataset]. https://catalog.data.gov/dataset/california-and-justice40-disadvantaged-or-low-income-communities-6602e
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commission
    Area covered
    California
    Description

    Locations of disadvantaged and/or low-income communities designated by both California and Justice40.Definitions:California-designated Disadvantaged Communities – The California Environmental Protection Agency (CalEPA) identifies four types of geographic areas as disadvantaged: (1) census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0; (2) census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores; (3) census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0; (4) and areas under the control of federally recognized Tribes. California-designated Low-income Communities – 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 California Department of Housing and Community Development’s list of state income limits adopted under Health and Safety Code Section 50093. Justice40-designated disadvantaged communities - Consistent with the Justice40 Interim Guidance, U.S. Department of Transportation (DOT) and U.S. Department of Energy (DOE) developed a joint interim definition of disadvantaged communities for the National Electric Vehicle Infrastructure (NEVI) Formula Program. The joint interim definition uses publicly available data sets that capture vulnerable populations, health, transportation access and burden, energy burden, fossil dependence, resilience, and environmental and climate hazards.

  16. Maryland Housing Designated Areas - Qualified Census Tracts

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +1more
    Updated Jan 1, 2017
    + more versions
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    ArcGIS Online for Maryland (2017). Maryland Housing Designated Areas - Qualified Census Tracts [Dataset]. https://data.imap.maryland.gov/items/409da6cd130c4cdb80232758c188193b
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    Dataset updated
    Jan 1, 2017
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    The US Department of Housing and Urban Development (HUD) designates Qualified Census Tracts (QCTs) for purposes of the Low-Income Housing Tax Credit (LIHTC) program. The LIHTC program is defined in Section 42 of the Internal Revenue Code of 1986. The LIHTC is a tax incentive intended to increase the availability of affordable rental housing. The LIHTC statute provides two criteria for QCT eligibility. A census tract must have either: 1) a poverty rate of at least 25 percent; or 2) 50 percent or more of its householders must have incomes below 60 percent of the area median household income. The area corresponds to a metropolitan or a non-metropolitan area. Further, the LIHTC statute requires that no more than 20 percent of the metropolitan area population reside within designated QCTs (This limit also applies collectively to the nonmetropolitan counties in each state). Thus, it is possible for a tract to meet one or both of the above criteria, but not be designated as a QCT. With respect to the census tracts, the Census Bureau defines them in cooperation with local authorities every ten years for the purposes of the decennial census and, following a public comment period, has recently completed defining tract boundaries for the 2010 Census. Note that when census tract boundaries are set, they remain unchanged for the next decade. Thus, tract boundaries will not be changed until the 2020 Decennial Census.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://geodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/1

  17. REV 2.0 Eligible and Ineligible Census Tracts

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    Updated Apr 8, 2024
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    California Energy Commission (2024). REV 2.0 Eligible and Ineligible Census Tracts [Dataset]. https://data.ca.gov/dataset/rev-2-0-eligible-and-ineligible-census-tracts
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    zip, csv, html, geojson, kml, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Apr 8, 2024
    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

    Census tracts are designated as urban, rural center, or rural through SB 1000 analysis. These designations are being used for the REV 2.0 and Community Charging in Urban Areas GFOs.

    • Rural centers are contiguous urban census tracts with a population of less than 50,0000. 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 communities are 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.
    • Urban communities are 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 area is designated as urban by the Census Bureau using the 2020 urbanized area criteria.
    Data Dictionary:
    • OBJECTID: Unique ID
    • STATEFP: State FIPS Code
    • COUNTYFP: County FIPS Code
    • TRACTCE: Census Tract ID
    • GEOID: Geographic Identifier
    • Name: Census Tract ID Name (short)
    • NAMELSAD: Census Tract ID Name (long)
    • ALAND: Land Area (square meters)
    • AWATER: Water Area (square meters)
    • DAC: Whether or not a census tract is a disadvantaged community as defined by SB 535 and designated by CalEPA using CalEnviroScreen 4.0 (May 2022 update)
    • Income_Group: Whether or not a census tract is low-, middle-, or high-income as defined by AB 1550 and designated by CARB and the CEC (June 2023 update)
    • Urban_Rural_RuralCenter: Whether or not a census tract is urban, rural, or rural center as defined and designated by the CEC through the SB 1000 Assessment (2024 update)
    • PerCap_100k_L2DCFC: Number of public Level 2 and DC fast chargers per 100,000 people in a census tract
    • DAC_andor_LIC: Whether or not a census tract is a disadvantaged or low-income community as defined by SB 535 and AB 1550 and designated by CalEPA and CARB
    • UCC_eligible: Whether or not the census tract is an eligible area for the Community Charging in Urban Areas GFO. For a site to be eligible, it must be in a census tract that is either a disadvantaged or low-income community, and urban, and has below the state average for per capita public Level 2 and DC fast chargers as defined by the CEC.
    • REV2_eligible: Whether or not the census tract is an eligible area for the Rural Electric Vehicle Charging 2.0 GFO. For a site to be eligible, it must be in a rural or rural center census tract as defined by the CEC.
    • Shape_Area: Census tract shape area (square meters)
    • Shape_Length: Census tract shape length (square meters)

  18. Workforce Disadvantaged Tracts (Archive)

    • gis-for-racialequity.hub.arcgis.com
    • hub.arcgis.com
    Updated May 31, 2022
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    Urban Observatory by Esri (2022). Workforce Disadvantaged Tracts (Archive) [Dataset]. https://gis-for-racialequity.hub.arcgis.com/items/fb4e0aefe380470a9a8ddfce775fb4a0
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    Dataset updated
    May 31, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map assesses and identifies communities that are Workforce Disadvantaged according to Justice40 Initiative criteria. "Communities are identified as disadvantaged if they are in census tracts that:ARE at or above the 90th percentile for linguistic isolation OR low median income OR poverty OR unemploymentAND fewer than 10% of people ages 25 or older have a high school education (i.e. graduated with a high school diploma)"Census tracts in the U.S. and its territories that meet the criteria are shaded in blue colors. Suitable for dashboards, apps, stories, and grant applications.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.Use this map to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications.From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40

  19. g

    Income - ACS 2016-2020 - Tempe Tracts | gimi9.com

    • gimi9.com
    Updated Nov 1, 2018
    + more versions
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    (2018). Income - ACS 2016-2020 - Tempe Tracts | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_income-acs-2016-2020-tempe-tracts-dbef1
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    Dataset updated
    Nov 1, 2018
    License

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

    Area covered
    Tempe
    Description

    This layer shows household income ranges for households, families, married couple families, and nonfamily households (as defined by the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings. Layer includes: Total households (of various types including households, families, married couple families, and nonfamily households as defined by the U.S. Census)Household income bracketsHousehold median income in dollarsHousehold mean income in dollars A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census). Current Vintage: 2016-2020 ACS Table(s): S1901 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundary

  20. State

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jan 14, 2020
    + more versions
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    ESRI (2020). State [Dataset]. https://data.amerigeoss.org/es/dataset/state11
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    kml, esri rest, html, zip, csv, geojsonAvailable download formats
    Dataset updated
    Jan 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    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: 2014-2018
    ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053
    Date of API call: December 19, 2019
    National Figures: data.census.gov

    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. 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. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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., -555555...) have been set to null. 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.
      • NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

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U.S. Department of Housing and Urban Development (2024). Low to Moderate Income Population by Tract [Dataset]. https://catalog.data.gov/dataset/low-to-moderate-income-population-by-tract
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Low to Moderate Income Population by Tract

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 1, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
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.

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