67 datasets found
  1. w

    Traffic Analysis Zones (TAZ) (Statewide)

    • data.wfrc.org
    • data-wfrc.opendata.arcgis.com
    Updated Dec 30, 2019
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    Wasatch Front Regional Council (2019). Traffic Analysis Zones (TAZ) (Statewide) [Dataset]. https://data.wfrc.org/datasets/traffic-analysis-zones-taz-statewide
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    Dataset updated
    Dec 30, 2019
    Dataset authored and provided by
    Wasatch Front Regional Council
    Area covered
    Description

    These are the Traffic Analysis Zones (TAZ) used in the Statewide Travel Model. This dataset contains only basic geographic information about the zones.TAZ boundaries are defined based on Census geographies (block, block group and tract). Care has been taken so that TAZ nest within Census tracts wherever possible in order for more direct matching with Census data. TAZ boundaries are also defined by major transportation facilities (such as roadways or rail lines), major environmental features (such as rivers), and with underlying land uses. The relative size of the TAZ was also a factor in deciding new TAZ boundaries if the zone size was large and the zone was thought to have a significant amount of socioeconomic activity. The size of TAZ varies from under 10 acres in the downtown to more than 100,000 acres in the mountain or lake zones. The average zone size is approximately 350 acres, which is a little over ½ square mile. Generally, TAZ in urban areas are smaller than in suburban and rural areas.There are currently 5 travel model spaces in Utah: Cache MPO (2), Dixie MPO (3), Summit (4), UDOT rural areas (0), and the combined WFRC/MAG MPO (1) model space. The model space indicators shown in parentheses above are coded in the Subarea_ID field. As travel demand model software requires that each TAZ be uniquely identified starting with the number 1, each model space has assigned its own unique TAZ identifier numbering sequence which is coded into the SubAreaTAZID field. However, this rule also applies to the statewide travel model, which is an aggregation of all the TAZs from the five model spaces into a single layer. In this statewide layer, the TAZID field is the unique identifier for the Utah Statewide Travel Model (USTM). CO_TAZID is the field used to link each TAZ to its socioeconomic data. It is a combination of the County FIPS number and a TAZ identifier within the county or from within an MPO model space.

  2. b

    2020 Traffic Analysis Zones (TAZ) for Baltimore Region

    • gisdata.baltometro.org
    Updated Feb 25, 2022
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    Baltimore Metropolitan Council (2022). 2020 Traffic Analysis Zones (TAZ) for Baltimore Region [Dataset]. https://gisdata.baltometro.org/datasets/2020-traffic-analysis-zones-taz-for-baltimore-region
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    Dataset updated
    Feb 25, 2022
    Dataset authored and provided by
    Baltimore Metropolitan Council
    Area covered
    Description

    A TAZ usually consists of one or more census blocks, block groups, or census tracts. These geographic units were generated for 2020 by BMC staff in consultation with member jurisdictions. The Census Bureau discontinued TAZs as an official geography prior to the 2020 Census. This is the official GIS dataset that will be used for modeling travel demand at BMC. This TAZ dataset includes the BMC region jurisdictions only. Traffic analysis zones (TAZs) are basic spatial units of analysis facilitating the ability of transportation planners to forecast changes in commuting patterns, trip volumes, and modes of travel, and to develop plans to meet the changing demands for transportation facilities and capacities. Each TAZ represents an area containing similar kinds of land use and commuter travel.FIELDSSTATEFP20 - State (FIPS)COUNTYFP20 - County (FIPS)NAME - TAZ NameTAZ20 - TAZ NumberJUR - Jurisdiction Number (BMC internal)JURNAME - Jurisdiction NameRPD20 - RPD NumberRPDNAME - RPD NameACRES - Land area in acresDate: 02/24/2022Update: None planned, 2030 boundaries will be added separatelySource: Baltimore Metropolitan Council

  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/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 .

  4. d

    UA Census Traffic Analysis Zones, 2000 - New Mexico

    • datamed.org
    Updated Dec 13, 2011
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    (2011). UA Census Traffic Analysis Zones, 2000 - New Mexico [Dataset]. https://datamed.org/display-item.php?repository=0012&idName=ID&id=56d4b7a1e4b0e644d3129405
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    Dataset updated
    Dec 13, 2011
    Area covered
    New Mexico
    Description

    Traffic analysis zones (TAZs) are special-purpose geographic entities delineated by state and local transportation officials for tabulating traffic related data from the decennial census, especially journey-to-work and place-of-work statistics. A TAZ usually consists of one or more census blocks, block groups, or census tracts. For Census 2000 TAZs are defined within county. Each TAZ is identified by a 6-character alphanumeric census code that is unique within county or statistically equivalent entity. A code of ZZZZZZ indicates a portion of a county where no TAZs were defined. The U.S. Census Bureau first provided data for TAZs in the 1980 census, when it identified them as 'traffic zones.' For the 1990 census, the TAZs were defined within Census Transportation Planning Package (CTPP) areas. TAZs were not shown in any 1990 Census TIGER extracts. The U.S. Census Bureau subsequently inserted the TAZs into the Census TIGER database and began extracting them starting with the 1994 TIGER/Line files. The Census 2000 TAZ program was conducted on behalf of the Federal Highway Administration, Department of Transportation, which offered participation to the Metropolitan Planning Organizations (MPOs) and the Departments of Transportation (DOTs) in the 50 states and the District of Columbia. The following states did not have a participating MPO or State DOT for the Census 2000 TAZ Program: Delaware, Hawaii, Montana.

  5. b

    2000 Traffic Analysis Zones (TAZ)

    • gisdata.baltometro.org
    Updated Feb 21, 2017
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    Baltimore Metropolitan Council (2017). 2000 Traffic Analysis Zones (TAZ) [Dataset]. https://gisdata.baltometro.org/maps/2000-traffic-analysis-zones-taz-1
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    Dataset updated
    Feb 21, 2017
    Dataset authored and provided by
    Baltimore Metropolitan Council
    Area covered
    Description

    Developed by the Census with the assistance of BMC. These are the official Census Traffic Analysis Zones (TAZ) 2000. A traffic analysis zone (TAZ) is a special area delineated by state and/or local transportation officials for tabulating traffic-related data- especially journey-to-work and place-of-work statistics. A TAZ usually consists of one or more census blocks, block groups, or census tracts.Date: 6/1/2000Update: none planned, 2010 boundaries added separatelySource: Census/BMC. More information on Census geography can be found at https://www.census.gov/geo/maps-data/data/tiger-line.html.

  6. M

    Transportation Analysis Zones (TAZ) 2000

    • gisdata.mn.gov
    ags_mapserver, fgdb +5
    Updated Mar 27, 2021
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    Metropolitan Council (2021). Transportation Analysis Zones (TAZ) 2000 [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metc-trans-anlys-zones2000
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    html, wms, ags_mapserver, fgdb, shp, jpeg, gpkgAvailable download formats
    Dataset updated
    Mar 27, 2021
    Dataset provided by
    Metropolitan Council
    Description

    Transportation analysis zones are subdivisions of counties that are delineated for land use and travel analysis purposes. The geography for this file is based on the Twin Cities Regional Travel Demand Forecast Model.

    Notes:

    - Since 2004, this set of TAZs is the official TAZ system for travel demand modeling, socioeconomic forecasts and community comprehensive plan development, in addition to its existing use for the 2000 Census Transportation Planning Package (CTPP).

    - Population, households and employment forecasts by TAZ, published with this file during 2004-2013, have been replaced with newer forecasts adopted by Metropolitan Council, starting in May 2014.

    - This system is a modification of an earlier TAZ system developed by Minnesota Department of Transportation and Metropolitan Council in late 1989, referred to as Transportation Analysis Zones 1990 (TAZ1990). The principal difference between the 1990 and 2000 systems is that 27 TAZs were subdivided into smaller units, thus expanding the total number of TAZs from 1165 to 1201.

    - Generally, the 2000 TAZ system utilized TIGER line files for 2000 Census blocks and political boundaries, which do not necessarily match the positionally accurate street-line files and political boundaries typically used with other Council generated GIS datasets.

  7. a

    Traffic Analysis Zones

    • hub.arcgis.com
    Updated May 29, 2020
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    Tallahassee-Leon County GIS (2020). Traffic Analysis Zones [Dataset]. https://hub.arcgis.com/datasets/tlcgis::traffic-analysis-zones-2/about
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    Dataset updated
    May 29, 2020
    Dataset authored and provided by
    Tallahassee-Leon County GIS
    Area covered
    Description

    This feature layer displays the Traffic Analysis Zones layer for the City of Tallahassee and Leon County, Florida. A TAZ analysis is conducted every 5 years as part of the Capital Regional Transportation Planning Agency’s (CRTPA) Regional Mobility Plan. This TAZ analysis is part of CRTPA's Connections 2045 Regional Mobility Plan which can be found here Link.Traffic Analysis Zone: A traffic analysis zone (TAZ) is a special area delineated by state and/or local transportation officials for tabulating traffic-related data–especially journey-to-work and place-of-work statistics. A TAZ usually consists of one or more census blocks, block groups, or census tracts.

  8. a

    TAZ diff

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 26, 2021
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    Miami-Dade County, Florida (2021). TAZ diff [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/taz-diff-1
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    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    Source: Layers within the feature service have been generated from publicly available data sources including: Florida Dept. of Revenue (parcel data), OpenStreetMap (walking/biking networks), Census data (ACS, LODES jobs, household/population, and commuting statistics), Miami-Dade County (parks, bike facilities, urban development boundary, etc.), Miami-Dade Department of Transportation and Public Works (public transit ridership), the Southeast Florida Regional Planning Model (SERPM), and the National Land Cover Dataset (NLCD). The development of summarized indicators for reporting and visualizing data for analysis of Transit Oriented Communities in SMART Plan station areas and corridors is described in the TOC Tool Technical Guide.

    Purpose: Data for each of the years 2015 to 2019 were processed into a Snapshot set of data, and the trends and differences over that period for the snapshot metrics have been generated as tables or summarized as differences at the Summary Area, Census Block, MAZ or TAZ geometry. Tables are generally used by dashboard widgets.

    Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

  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/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.

  10. n

    Traffic Analysis Zones

    • opendata.lincoln.ne.gov
    • data2-lincolnne.opendata.arcgis.com
    • +1more
    Updated Oct 6, 2017
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    City of Lincoln/Lancaster County, NE Maps & Apps (2017). Traffic Analysis Zones [Dataset]. https://opendata.lincoln.ne.gov/datasets/db0fda7a84b84d07a31dc355d9fc1d6d
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    Dataset updated
    Oct 6, 2017
    Dataset authored and provided by
    City of Lincoln/Lancaster County, NE Maps & Apps
    Area covered
    Description

    A traffic analysis zone is the unit of geography most commonly used in conventional transportation planning models. The size of a zone varies, but for a typical metropolitan area, a zone of under 3000 people is common. The spatial extent of zones typically varies in models, ranging from very large areas in the suburb to as small as city blocks or buildings in central business districts. Zones are constructed by census block information. Typically these blocks are used in transportation models by providing socio-economic data. States differ in the socio-economic data that they attribute to the zones. Most often the critical information is the number of automobiles per household, household income, and employment within these zones. This information helps to further the understanding of trips that are produced and attracted within the zone. These zones can change or altered to eliminate unneeded areas to limit the "computational burden."

  11. s

    2000 Census Traffic Analysis Zones - San Francisco Bay Area, California

    • searchworks.stanford.edu
    zip
    Updated Oct 7, 2016
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    (2016). 2000 Census Traffic Analysis Zones - San Francisco Bay Area, California [Dataset]. https://searchworks.stanford.edu/view/tm960wp6354
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    zipAvailable download formats
    Dataset updated
    Oct 7, 2016
    Area covered
    San Francisco Bay Area, San Francisco, California
    Description

    This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

  12. w

    Traffic Analysis Zones (TAZ) (Wasatch Front)

    • data.wfrc.org
    Updated Dec 26, 2019
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    Wasatch Front Regional Council (2019). Traffic Analysis Zones (TAZ) (Wasatch Front) [Dataset]. https://data.wfrc.org/datasets/wfrc::traffic-analysis-zones-taz-wasatch-front/about
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    Dataset updated
    Dec 26, 2019
    Dataset authored and provided by
    Wasatch Front Regional Council
    Area covered
    Description

    These are the Traffic Analysis Zones (TAZ) used in the Wasatch Front Travel Model. This dataset contains only basic geographic information about the zones.The Wasatch Front travel model region covers the urbanized portion of Weber, Davis, Salt Lake and Utah Counties and the portion of the Box Elder County from Brigham City South (Salt Lake City-West Valley City, Ogden-Layton, and Provo-Orem Urbanized Areas). The region is divided into 2,881 Traffic Analysis Zones (TAZ). TAZ boundaries are defined based on Census geographies (block, block group and tract). Care has been taken so that TAZ nest within Census tracts wherever possible in order for more direct matching with Census data. TAZ boundaries are also defined by major transportation facilities (such as roadways or rail lines), major environmental features (such as rivers), and with underlying land uses. The relative size of the TAZ was also a factor in deciding new TAZ boundaries if the zone size was large and the zone was thought to have a significant amount of socioeconomic activity. The size of TAZ varies from under 10 acres in the downtown to more than 100,000 acres in the mountain or lake zones. The average zone size is approximately 350 acres, which is a little over ½ square mile. Generally, TAZ in urban areas are smaller than in suburban and rural areas.

  13. M

    Census 2000 Geography - Blocks, Block Groups, Tracts, TAZs, Counties, County...

    • gisdata.mn.gov
    • data.wu.ac.at
    ags_mapserver, fgdb +4
    Updated Feb 19, 2021
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    Metropolitan Council (2021). Census 2000 Geography - Blocks, Block Groups, Tracts, TAZs, Counties, County Subdivisions and Water [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metc-society-census2000tiger
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    gpkg, html, jpeg, fgdb, shp, ags_mapserverAvailable download formats
    Dataset updated
    Feb 19, 2021
    Dataset provided by
    Metropolitan Council
    Description

    This 'Redistricting' version of the census data is the first release of the data.

    This 2000 census redistricting geography database of the 7 county metropolitan area and the additional 12 collar county area was developed from the U.S. Census Bureau's Redistricting Census 2000 TIGER/Line files.

    The Metropolitan Council downloaded this data from the Census Bureau's FTP site, imported it into ArcInfo coverage format, added a few items to the coverage, then created block, block group, tract, county subdivision (city), county, taz and water coverages and shape files from the original data.

  14. D

    2010 TAZ Boundaries, Aligned to DVRPC MCDs, Extended Region

    • catalog.dvrpc.org
    • staging-catalog.cloud.dvrpc.org
    • +1more
    api, geojson, html +1
    Updated May 23, 2025
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    DVRPC (2025). 2010 TAZ Boundaries, Aligned to DVRPC MCDs, Extended Region [Dataset]. https://catalog.dvrpc.org/dataset/2010-taz-boundaries-aligned-to-dvrpc-mcds-extended-region
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    api, html, xml, geojsonAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    Delaware Valley Regional Planning Commissionhttps://www.dvrpc.org/
    Authors
    DVRPC
    Description

    TAZ layer for extended region, aligned with MCDs in DVRPC region using Census block boundaries to divide zones within municipalities (updated in Feb 2015) The following changes were made in Jan 2015: Zone 14024 incorporated into Zone 14014. (Quakertown) Zone 18005 incorporated into Zone 18008. (Trenton)

  15. a

    TAZ Forecast Visualization Census

    • gishub-h-gac.hub.arcgis.com
    Updated Oct 9, 2024
    + more versions
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    Houston-Galveston Area Council (2024). TAZ Forecast Visualization Census [Dataset]. https://gishub-h-gac.hub.arcgis.com/datasets/H-GAC::taz-forecast-visualization-census
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    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Houston-Galveston Area Council
    Area covered
    Description

    Census Tracts, H3M, and Traffic Analysis Zone (TAZ) layers to help visualize the regional growth forecast.#Census

  16. h

    Traffic Analysis Zones (TAZ) - Oahu

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +2more
    Updated Mar 7, 2024
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    Hawaii Statewide GIS Program (2024). Traffic Analysis Zones (TAZ) - Oahu [Dataset]. https://geoportal.hawaii.gov/datasets/traffic-analysis-zones-taz-oahu
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Traffic Analysis Zones for the Island of Oahu, 2022. Source: Oahu Metropolitan Planning Organization (OMPO), Feb. 2024. A traffic analysis zone (TAZ) is a geographic unit used in transportation planning models. TAZs are used to represent the spatial distribution of trip origins and destinations. TAZ boundaries are defined based on Census geographies (block, block group and tract). Care has been taken so that TAZs nest within Census tracts wherever possible in order for more direct matching with Census data. TAZ boundaries are also defined by major transportation facilities (such as roadways), major environmental features (such as rivers), and with underlying land uses. The relative size of the TAZ was also a factor in determining new TAZ boundaries if the zone size was large and the zone was thought to have a significant amount of socioeconomic activity. Generally, TAZs in urban areas are smaller than those in suburban and rural areas. Note: Data is updated every 5 years or as needed.Data created by Oahu Metropolitan Planning Organization (OMPO) and vetted by the City and County of Honolulu, particularly the Department of Planning and Permitting (DPP) and the Department of Transportation Services (DTS).For more information, please see metadata at https://files.hawaii.gov/dbedt/op/gis/data/taz_oah.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  17. d

    Food Desert Census Tract Polygons, Region 9, 2000, US EPA Region 9.

    • datadiscoverystudio.org
    • data.wu.ac.at
    html
    Updated Oct 16, 2017
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    (2017). Food Desert Census Tract Polygons, Region 9, 2000, US EPA Region 9. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/fd1315fb2cc04acdba692c0476c56560/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 16, 2017
    Description

    description: Census Tract Data - Census 2000 This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic entities include blocks, blockgroups and tracts. Tiger line files are the source of the geometry representing the Census blocks. Attributes include total population counts, racial/ethnic, and poverty/income information. Racial/ethnic classifications are represented in units of blocks, blockgroups and tracts. Poverty and income data are represented in units of blockgroups and tracts. Percentages of each racial/ethnic group have been calculated from the population counts. Total Minority counts and percentages were compiled from each racial/ethnic non-white category. Categories compiled to create the Total Minority count includes the following: African American, Asian, American Indian, Pacific Islander, White Hispanic, Other and all mixed race categories. The percentage poverty attribute represents the percent of the population living at or below poverty level. The per capita income attribute represents the sum of all income within the geographic entity, divided by the total population of that entity. Special fields designed to be used for EJ analysis have been derived from the PL data and include the following: Percentage difference of block, blockgroup and total minority from the state and county averages, percentile rank for each percent total minority within state and county entities. Food Desert Locator Documenation The Healthy Food Financing Initiative (HFFI) Working Group defines a food desert as a low-income census tract where a substantial number or share of residents has low access to a supermarket or large grocery store. To qualify as low-income, census tracts must meet the Treasury Department's New Markets Tax Credit (NMTC) program eligibility criteria. Furthermore, to qualify as a food desert tract at least 33% of the tract's population (or a minimum of 500 people) must have low access to a supermarket or large grocery store. Low access to a healty food retail outlet is defined as more than 1 mile from a supermarket or large grocery store in urban ares and as more than 10 miles in rural areas. The Food Desert Locator includes characteristics only for census tracts that qualify as food deserts. All store data come from the 2006 directory of stores, and all population and household data come from the 2000 Census of Population and Housing. For the 140 urban census tracts for which grid-level data are not available, all people in the tract are assumed to have low-access to a supermarket or large grocery store.; abstract: Census Tract Data - Census 2000 This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic entities include blocks, blockgroups and tracts. Tiger line files are the source of the geometry representing the Census blocks. Attributes include total population counts, racial/ethnic, and poverty/income information. Racial/ethnic classifications are represented in units of blocks, blockgroups and tracts. Poverty and income data are represented in units of blockgroups and tracts. Percentages of each racial/ethnic group have been calculated from the population counts. Total Minority counts and percentages were compiled from each racial/ethnic non-white category. Categories compiled to create the Total Minority count includes the following: African American, Asian, American Indian, Pacific Islander, White Hispanic, Other and all mixed race categories. The percentage poverty attribute represents the percent of the population living at or below poverty level. The per capita income attribute represents the sum of all income within the geographic entity, divided by the total population of that entity. Special fields designed to be used for EJ analysis have been derived from the PL data and include the following: Percentage difference of block, blockgroup and total minority from the state and county averages, percentile rank for each percent total minority within state and county entities. Food Desert Locator Documenation The Healthy Food Financing Initiative (HFFI) Working Group defines a food desert as a low-income census tract where a substantial number or share of residents has low access to a supermarket or large grocery store. To qualify as low-income, census tracts must meet the Treasury Department's New Markets Tax Credit (NMTC) program eligibility criteria. Furthermore, to qualify as a food desert tract at least 33% of the tract's population (or a minimum of 500 people) must have low access to a supermarket or large grocery store. Low access to a healty food retail outlet is defined as more than 1 mile from a supermarket or large grocery store in urban ares and as more than 10 miles in rural areas. The Food Desert Locator includes characteristics only for census tracts that qualify as food deserts. All store data come from the 2006 directory of stores, and all population and household data come from the 2000 Census of Population and Housing. For the 140 urban census tracts for which grid-level data are not available, all people in the tract are assumed to have low-access to a supermarket or large grocery store.

  18. 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.

  19. 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.

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

    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit (LIHTC) Qualified Census 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.

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Wasatch Front Regional Council (2019). Traffic Analysis Zones (TAZ) (Statewide) [Dataset]. https://data.wfrc.org/datasets/traffic-analysis-zones-taz-statewide

Traffic Analysis Zones (TAZ) (Statewide)

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Dataset updated
Dec 30, 2019
Dataset authored and provided by
Wasatch Front Regional Council
Area covered
Description

These are the Traffic Analysis Zones (TAZ) used in the Statewide Travel Model. This dataset contains only basic geographic information about the zones.TAZ boundaries are defined based on Census geographies (block, block group and tract). Care has been taken so that TAZ nest within Census tracts wherever possible in order for more direct matching with Census data. TAZ boundaries are also defined by major transportation facilities (such as roadways or rail lines), major environmental features (such as rivers), and with underlying land uses. The relative size of the TAZ was also a factor in deciding new TAZ boundaries if the zone size was large and the zone was thought to have a significant amount of socioeconomic activity. The size of TAZ varies from under 10 acres in the downtown to more than 100,000 acres in the mountain or lake zones. The average zone size is approximately 350 acres, which is a little over ½ square mile. Generally, TAZ in urban areas are smaller than in suburban and rural areas.There are currently 5 travel model spaces in Utah: Cache MPO (2), Dixie MPO (3), Summit (4), UDOT rural areas (0), and the combined WFRC/MAG MPO (1) model space. The model space indicators shown in parentheses above are coded in the Subarea_ID field. As travel demand model software requires that each TAZ be uniquely identified starting with the number 1, each model space has assigned its own unique TAZ identifier numbering sequence which is coded into the SubAreaTAZID field. However, this rule also applies to the statewide travel model, which is an aggregation of all the TAZs from the five model spaces into a single layer. In this statewide layer, the TAZID field is the unique identifier for the Utah Statewide Travel Model (USTM). CO_TAZID is the field used to link each TAZ to its socioeconomic data. It is a combination of the County FIPS number and a TAZ identifier within the county or from within an MPO model space.

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