57 datasets found
  1. Texas County Boundaries (line)

    • gis-txdot.opendata.arcgis.com
    • geoportal-mpo.opendata.arcgis.com
    Updated Jul 19, 2016
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    Texas Department of Transportation (2016). Texas County Boundaries (line) [Dataset]. https://gis-txdot.opendata.arcgis.com/datasets/texas-county-boundaries-line
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    Dataset updated
    Jul 19, 2016
    Dataset authored and provided by
    Texas Department of Transportationhttp://txdot.gov/
    Area covered
    Description

    This dataset was created by the Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) for planning and asset inventory purposes, as well as for visualization and general mapping. County boundaries were digitized by TxDOT using USGS quad maps, and converted to line features using the Feature to Line tool. This dataset depicts a generalized coastline.Update Frequency: As NeededSource: Texas General Land OfficeSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

  2. Texas County Boundaries Detailed

    • gis-txdot.opendata.arcgis.com
    • geoportal-mpo.opendata.arcgis.com
    • +1more
    Updated Aug 12, 2016
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    Texas Department of Transportation (2016). Texas County Boundaries Detailed [Dataset]. https://gis-txdot.opendata.arcgis.com/datasets/texas-county-boundaries-detailed/about
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    Dataset updated
    Aug 12, 2016
    Dataset authored and provided by
    Texas Department of Transportationhttp://txdot.gov/
    Area covered
    Description

    This dataset was created by TxDOT for internal purposes. TxDOT is not the authority for county boundary data for the state. These features were digitized by TxDOT from georeferenced USGS topo maps to enable the classification of roadway attributes for the purposes of satisfying federal and state reporting requirements, and to serve as a base layer for TxDOT's cartographic products. This version utilizes a detailed boundary along the Texas coast for depicting a realistic coastline. Use at your own risk. Update Frequency: Infrequently, mostly staticSource: USGS quad mapsSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

  3. d

    TIGER/Line Shapefile, 2016, state, Texas, Current County Subdivision...

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). TIGER/Line Shapefile, 2016, state, Texas, Current County Subdivision State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2016-state-texas-current-county-subdivision-state-based
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    Dataset updated
    Jan 15, 2021
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

  4. H

    Texas-Harvey Basemap - Addresses and Boundaries

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Nov 9, 2023
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    David Arctur; David Maidment (2023). Texas-Harvey Basemap - Addresses and Boundaries [Dataset]. http://doi.org/10.4211/hs.3e251d7d70884abd928d7023e050cbdc
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    zip(703.5 MB)Available download formats
    Dataset updated
    Nov 9, 2023
    Dataset provided by
    HydroShare
    Authors
    David Arctur; David Maidment
    Area covered
    Description

    This site provides access to download an ArcGIS geodatabase or shapefiles for the 2017 Texas Address Database, compiled by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide. This is part of the Texas Water Model (TWM), a project to adapt the NOAA National Water Model [1] for use in Texas public safety. This database was compiled over the period from June 2016 to December 2017. A number of gaps remain (towns and cities missing address points), see Address Database Gaps spreadsheet below [4]. Additional datasets include administrative boundaries for Texas counties (including Federal and State disaster-declarations), Councils of Government, and Texas Dept of Public Safety Regions. An Esri ArcGIS Story Map [5] web app provides an interactive map-based portal to explore and access these data layers for download.

    The address points in this database include their "height above nearest drainage" (HAND) as attributes in meters and feet. HAND is an elevation model developed through processing by the TauDEM method [2], built on USGS National Elevation Data (NED) with 10m horizontal resolution. The HAND elevation data and 10m NED for the continental United States are available for download from the Texas Advanced Computational Center (TACC) [3].

    The complete statewide dataset contains about 9.28 million address points representing a population of about 28 million. The total file size is about 5GB in shapefile format. For better download performance, the shapefile version of this data is divided into 5 regions, based on groupings of major watersheds identified by their hydrologic unit codes (HUC). These are zipped by region, with no zipfile greater than 120mb: - North Tx: HUC1108-1114 (0.52 million address points) - DFW-East Tx: HUC1201-1203 (3.06 million address points) - Houston-SE Tx: HUC1204 (1.84 million address points) - Central Tx: HUC1205-1210 (2.96 million address points) - Rio Grande-SW Tx: HUC2111-1309 (2.96 million address points)

    Additional state and county boundaries are included (Louisiana, Mississippi, Arkansas), as well as disaster-declaration status.

    Compilation notes: The Texas Commission for State Emergency Communications (CSEC) provided the first 3 million address points received, in a single batch representing 213 of Texas' 254 counties. The remaining 41 counties were primarily urban areas comprising about 6.28 million addresses (totaling about 9.28 million addresses statewide). We reached the GIS data providers for these areas (see Contributors list below) through these emergency communications networks: Texas 9-1-1 Alliance, the Texas Emergency GIS Response Team (EGRT), and the Texas GIS 9-1-1 User Group. The address data was typically organized in groupings of counties called Councils of Governments (COG) or Regional Planning Commissions (RPC) or Development Councils (DC). Every county in Texas belongs to a COG, RPC or DC. We reconciled all counties' addresses to a common, very simple schema, and merged into a single geodatabase.

    November 2023 updates: In 2019, TNRIS took over maintenance of the Texas Address Database, which is now a StratMap program updated annually [6]. In 2023, TNRIS also changed its name to the Texas Geographic Information Office (TxGIO). The datasets available for download below are not being updated, but are current as of the time of Hurricane Harvey.

    References: [1] NOAA National Water Model [https://water.noaa.gov/map] [2] TauDEM Downloads [https://hydrology.usu.edu/taudem/taudem5/downloads.html] [3] NFIE Continental Flood Inundation Mapping - Data Repository [https://web.corral.tacc.utexas.edu/nfiedata/] [4] Address Database Gaps, Dec 2017 (download spreadsheet below) [5] Texas Address and Base Layers Story Map [https://www.hydroshare.org/resource/6d5c7dbe0762413fbe6d7a39e4ba1986/] [6] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]

  5. Texas County Boundaries

    • geoportal-mpo.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Aug 12, 2016
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    Texas Department of Transportation (2016). Texas County Boundaries [Dataset]. https://geoportal-mpo.opendata.arcgis.com/datasets/TXDOT::texas-county-boundaries
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    Dataset updated
    Aug 12, 2016
    Dataset authored and provided by
    Texas Department of Transportationhttp://txdot.gov/
    Area covered
    Description

    This dataset was created by TxDOT for internal purposes. TxDOT is not the authority for county boundary data for the state. These features were digitized by TxDOT from georeferenced USGS topo maps to enable the classification of roadway attributes for the purposes of satisfying federal and state reporting requirements, and to serve as a base layer for TxDOT's cartographic products. This version utilizes a generalized boundary along the coast, which is sometimes necessary for analysis in which it is important to encompass segments of roadways that travel over water. Roadways on bridges or causeways that span intracoastal waterways are not covered by detailed polygons that precisely follow the coastline, therefore a generalized boundary is needed for some types of analysis where it is important to preserve such relationships. Use at your own risk. Update Frequency: Infrequently, mostly staticSource: USGS quad mapsSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

  6. TIGER/Line Shapefile, 2022, State, Texas, TX, County Subdivision

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, Texas, TX, County Subdivision [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-texas-tx-county-subdivision
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  7. g

    TIGER/Line Shapefile, Current, State, Texas, County Subdivision | gimi9.com

    • gimi9.com
    Updated Aug 9, 2025
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    (2025). TIGER/Line Shapefile, Current, State, Texas, County Subdivision | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-current-state-texas-county-subdivision
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    Dataset updated
    Aug 9, 2025
    License

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

    Area covered
    Texas
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  8. 2023 Cartographic Boundary File (KML), Place for Texas, 1:500,000

    • catalog.data.gov
    Updated May 16, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (KML), Place for Texas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-place-for-texas-1-500000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas
    Description

    The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  9. g

    TIGER/Line Shapefile, 2023, State, Texas, TX, County Subdivision | gimi9.com...

    • gimi9.com
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    TIGER/Line Shapefile, 2023, State, Texas, TX, County Subdivision | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-2023-state-texas-tx-county-subdivision/
    Explore at:
    License

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

    Area covered
    Texas
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  10. H

    Change in Land Cover due to Population Changes in US Cities Term Report

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Dec 7, 2018
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    Maarten Kroll (2018). Change in Land Cover due to Population Changes in US Cities Term Report [Dataset]. https://www.hydroshare.org/resource/9d99c21d10e346bf8ca932b9a503db65
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    zip(53.1 MB)Available download formats
    Dataset updated
    Dec 7, 2018
    Dataset provided by
    HydroShare
    Authors
    Maarten Kroll
    License

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

    Area covered
    United States
    Description

    This report presents a small update on what has been done so far. Land Cover data has been extracted for 10 US cities and displayed within their City/County boundaries. As a follow-up, ratios of changes in land cover will be computed to see how large rate of changes are and if there are significant differences per city.

  11. TIGER/Line Shapefile, 2022, State, Texas, TX, Census Tract

    • catalog.data.gov
    • datasets.ai
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, Texas, TX, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-texas-tx-census-tract
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. 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. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. 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.

  12. n

    National Predictive Service Areas (PSA) Boundaries - Dataset - CKAN

    • nationaldataplatform.org
    Updated Feb 28, 2024
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    (2024). National Predictive Service Areas (PSA) Boundaries - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/national-predictive-service-areas-psa-boundaries1
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    Dataset updated
    Feb 28, 2024
    Description

    Predictive Service Areas (PSAs) are geographic areas for which national-level fire weather or fire danger services and products are produced by wildland fire agency meteorologists and intelligence staffs in support of resource allocation and prioritization. A PSA boundary defines areas where 2 or more weather elements or National Fire Danger Rating System (NFDRS) indices exist with a high correlation to historical significant fire size. "Significant fires" are the 95th percentile fire size for the PSA. 1/9/2023 - Spatial and tabular changes made at request of Basil Newmerzhycky (Great Basin), and Gina McGuire (Fire Meterologist). PSA boundaries between Great Basin (GB14) and Northern California (NC08) GACCs aligned to follow GACC boundary in area of East Fork High Rock Canyon Wilderness and Grassy Canyon. Edits by JKuenzi. 8/29/2022 - 8/30/2022 - Spatial and tabular changes made at request of Southern Area GACC (submitted by Dana "Nancy" Ellsworth and Subject Matter Experts). Edits by JKuenzi. Specific changes include:Puerto Rico changed from 6 PSAs to 1 PSA. PSAName changed to PR for all areas. PSANationalCode changed to "SA52A" for all areas. PSANames and PSANationalCodes = "PR Northwest (number SA52A remains active), PR Southwest (SA52B), PR North (SA53), PR Central (SA54), PR South (SA55), and PR East (SA56)" were all removed. Florida changed from 10 PSAs to 4 PSAs. PSANames and PSANationalCodes = "FL North Coast (SA44), FL Northeast (SA45A), FL Northeast Coast (SA45B), FL Pan (SA43), FL SE Coast (SA51B), and FL SW Coast (SA51A)" were all removed. Remaining PSAs realigned using linework by AHepworth, and authoritative datasets (Census Counties, and PADUS Modified Jurisdictional Boundaries) to cover all of Florida. Louisiana changed PSAName from "MS South" to "LA East" where PSANationalCode = "SA22B" .1/12/2022 - Spatial and tabular changes made while assigning PSAs to islands and merging a handful of small slivers with larger areas Islands identified by Geographic Area Coordination Center (GACC) PSA representatives, Heidi Strader, Julia Rutherford, Dana "Nancy" Ellsworth, and Matt Shameson. Edits by JKuenzi.1/10/2022 - Spatial and tabular changes made as part of the request to replace all PSAs in the Rocky Mountain Geographic Area Coordination Center (GACC) by Valerie Meyers and Coleen Haskell, both Predictive Services Fire Weather Meteorologists. The total number of PSAs within the Rocky Mountain area went from 74 to 28. Along with new linework, PSAs were re-numbered and named. Topology was used to find and remove gaps and overlaps.Edits by JKuenzi.10/29/2021 - Spatial changes made. Coastlines matched to other base data layers including: Geographic Area Coordination Centers (GACCs), Dispatch Areas, and Initial Attach Frequency Zones. Process completed with approval from the PSA representatives in each GACC, in order to begin process of vertical integration of PSA data, where appropriate, with other wildland fire base data layers. No interior lines moved except along coast. A few island areas were not specifically labeled with a PSA and have been assigned a PSANationalCode = "None" and "PSAName = "No PSA Assigned". Edits by JKuenzi, 10/25/2021 - Spatial and tabular changes made resulting from proposed change between Southwest and Southern Geographic Area Coordination Centers (GACCs) for use starting 1/10/2022. Seven Predictive Service Areas re-aligned boundaries as described by Charles Maxwell (USFS) Predictive Services Meteorologist, in conjunction with Rich Naden (NPS), Basil Newmerzhycky (BLM), Dana Ellsworth (USFS), and Calvin Miller (USFS). Edits by JKuenzi, USFS. Specific changes made include:SW13 - split at Texas/New Mexico state line. Area in NM remains SW13. Area in TX/OK becomes SA01.SW14N - split at Texas/New Mexico state line. Area in NM remains SW14N. Area in TX is split into SA04 and SA09SW14S - split at Texas/New Mexico state line. Area in NM absorbed by SW14N. Area in TX is split into SA09 and SA08 along county lines.SW09 - split at Texas/New Mexico state line. Area in NM remains SW09 or is absorbed by SW12. Area in TX is absorbed by SA08. SW12 - absorbs sliver of SW09 along TX/NM border and the Guadalupe Mtns in TX. 10/20/2021-10/21/2021 - Spatial and tabular changes made while completing topology checks for overlaps and gaps. Over 3400 errors found, but most were because of islands. 1367 errors remain, but are all marked as exceptions. Only major changes, such as complete deletion and re-creation of polygons were noted in the Comments or DateCurrent field. Edits by JKuenzi, USFS. 2/3/2021 - Tabular change made in Alaska to the peninsula where the St. Michael Airport is located. PSA National Code changed from AK14 to AK08 per Nicholas Nauslar, BLM, and Heidi Strader, Fire Weather Program Mgr at Alaska Interagency Coordination Center. Edits by JKuenzi, USFS. 6/20/2020 - PSA dataset attribute table brought into alignment with NWCG Data Standards for Predictive Service Areas. Edits by JKuenzi, USFS.8/3/2019 - Great Basin updated. Edits by DSampson, BLM.

  13. TIGER/Line Shapefile, 2022, State, Texas, TX, Place

    • datasets.ai
    • catalog.data.gov
    23, 55, 57
    Updated Jan 27, 2024
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    U.S. Census Bureau, Department of Commerce (2024). TIGER/Line Shapefile, 2022, State, Texas, TX, Place [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2022-state-texas-tx-place
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    23, 57, 55Available download formats
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    Texas
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2022 BAS as well.

  14. 2015 State Geodatabase for Texas

    • data.wu.ac.at
    html, pdf, zip
    Updated Dec 7, 2015
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    US Census Bureau, Department of Commerce (2015). 2015 State Geodatabase for Texas [Dataset]. https://data.wu.ac.at/schema/data_gov/YWQ4ODk4YWItMWU1Yi00OTQzLTk5MjEtNDFhMjM5YzdmNGUz
    Explore at:
    zip, pdf, htmlAvailable download formats
    Dataset updated
    Dec 7, 2015
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    92604ed0d0a330904959b455bf23ef5c233d2371, Texas
    Description

    The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.

            The 2015 State Geodatabase for Texas contains multiple layers. These layers are the Block, Block Group, Census Designated Place, Census Tract,
            County Subdivision and Incorporated Place layers.
    
            Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered
            within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same
            decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that
            census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and
            Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses
            county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban
            areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release
            are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. 
    
            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.
            When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living
            conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by
            highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to
            population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable
            features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to
            allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. 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. 
    
            An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD),
            which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state,
            but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have
            other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated
            to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state
            in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide
            with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial
            census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily
            have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. 
    
            The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and
            Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries
            of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
    
            The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no
            counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The
            latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri,
            Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary
            divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data
            presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data
            presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto
            Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin
            Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for
            counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and
            Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.
    
            County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include
            legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census,
            the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs
            for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical
            unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county
            subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey
            (BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas
            Program (PSAP) for the 2010 Census.
    
  15. g

    TIGER/Line Shapefile, 2023, State, Texas, TX, Place | gimi9.com

    • gimi9.com
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    TIGER/Line Shapefile, 2023, State, Texas, TX, Place | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-2023-state-texas-tx-place/
    Explore at:
    License

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

    Area covered
    Texas
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

  16. TIGER/Line Shapefile, Current, State, Texas, Place

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Texas, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-texas-place
    Explore at:
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state but may extend across county and county subdivision boundaries. An incorporated place is usually a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs are often defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2024 BAS as well.

  17. 2020 Cartographic Boundary File (SHP), Current Census Tract for Texas,...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current Census Tract for Texas, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-census-tract-for-texas-1-500000
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas
    Description

    The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. 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. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. 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 and beyond, 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.

  18. 2022 Cartographic Boundary File (KML), Current Census Tract for Texas,...

    • datasets.ai
    • s.cnmilf.com
    • +1more
    33, 55, 57
    Updated Jun 2, 2023
    + more versions
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    U.S. Census Bureau, Department of Commerce (2023). 2022 Cartographic Boundary File (KML), Current Census Tract for Texas, 1:500,000 [Dataset]. https://datasets.ai/datasets/2022-cartographic-boundary-file-kml-current-census-tract-for-texas-1-500000
    Explore at:
    33, 57, 55Available download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    Texas
    Description

    The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

    Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. 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. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. 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 and beyond, 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.

  19. National Predictive Service Areas (PSA) Boundaries

    • wifire-data.sdsc.edu
    Updated Jan 13, 2023
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    National Interagency Fire Center (2023). National Predictive Service Areas (PSA) Boundaries [Dataset]. https://wifire-data.sdsc.edu/dataset/national-predictive-service-areas-psa-boundaries1
    Explore at:
    html, zip, geojson, arcgis geoservices rest api, kml, csvAvailable download formats
    Dataset updated
    Jan 13, 2023
    Dataset provided by
    National Interagency Fire Centerhttps://www.nifc.gov/
    Description

    Predictive Service Areas (PSAs) are geographic areas for which national-level fire weather or fire danger services and products are produced by wildland fire agency meteorologists and intelligence staffs in support of resource allocation and prioritization. A PSA boundary defines areas where 2 or more weather elements or National Fire Danger Rating System (NFDRS) indices exist with a high correlation to historical significant fire size. "Significant fires" are the 95th percentile fire size for the PSA.

    1/9/2023 - Spatial and tabular changes made at request of Basil Newmerzhycky (Great Basin), and Gina McGuire (Fire Meterologist). PSA boundaries between Great Basin (GB14) and Northern California (NC08) GACCs aligned to follow GACC boundary in area of East Fork High Rock Canyon Wilderness and Grassy Canyon. Edits by JKuenzi.

    8/29/2022 - 8/30/2022 - Spatial and tabular changes made at request of Southern Area GACC (submitted by Dana "Nancy" Ellsworth and Subject Matter Experts). Edits by JKuenzi. Specific changes include:

    • Puerto Rico changed from 6 PSAs to 1 PSA. PSAName changed to PR for all areas. PSANationalCode changed to "SA52A" for all areas. PSANames and PSANationalCodes = "PR Northwest (number SA52A remains active), PR Southwest (SA52B), PR North (SA53), PR Central (SA54), PR South (SA55), and PR East (SA56)" were all removed.

    • Florida changed from 10 PSAs to 4 PSAs. PSANames and PSANationalCodes = "FL North Coast (SA44), FL Northeast (SA45A), FL Northeast Coast (SA45B), FL Pan (SA43), FL SE Coast (SA51B), and FL SW Coast (SA51A)" were all removed. Remaining PSAs realigned using linework by AHepworth, and authoritative datasets (Census Counties, and PADUS Modified Jurisdictional Boundaries) to cover all of Florida.

    • Louisiana changed PSAName from "MS South" to "LA East" where PSANationalCode = "SA22B" .

    1/12/2022 - Spatial and tabular changes made while assigning PSAs to islands and merging a handful of small slivers with larger areas Islands identified by Geographic Area Coordination Center (GACC) PSA representatives, Heidi Strader, Julia Rutherford, Dana "Nancy" Ellsworth, and Matt Shameson. Edits by JKuenzi.

    1/10/2022 - Spatial and tabular changes made as part of the request to replace all PSAs in the Rocky Mountain Geographic Area Coordination Center (GACC) by Valerie Meyers and Coleen Haskell, both Predictive Services Fire Weather Meteorologists. The total number of PSAs within the Rocky Mountain area went from 74 to 28. Along with new linework, PSAs were re-numbered and named. Topology was used to find and remove gaps and overlaps.Edits by JKuenzi.

    10/29/2021 - Spatial changes made. Coastlines matched to other base data layers including: Geographic Area Coordination Centers (GACCs), Dispatch Areas, and Initial Attach Frequency Zones. Process completed with approval from the PSA representatives in each GACC, in order to begin process of vertical integration of PSA data, where appropriate, with other wildland fire base data layers. No interior lines moved except along coast. A few island areas were not specifically labeled with a PSA and have been assigned a PSANationalCode = "None" and "PSAName = "No PSA Assigned". Edits by JKuenzi,

    10/25/2021 - Spatial and tabular changes made resulting from proposed change between Southwest and Southern Geographic Area Coordination Centers (GACCs) for use starting 1/10/2022. Seven Predictive Service Areas re-aligned boundaries as described by Charles Maxwell (USFS) Predictive Services Meteorologist, in conjunction with Rich Naden (NPS), Basil Newmerzhycky (BLM), Dana Ellsworth (USFS), and Calvin Miller (USFS). Edits by JKuenzi, USFS. Specific changes made include:

    • SW13 - split at Texas/New Mexico state line. Area in NM remains SW13. Area in TX/OK becomes SA01.

    • SW14N - split at Texas/New Mexico state line. Area in NM remains SW14N. Area in TX is split into SA04 and SA09

    • SW14S - split at Texas/New Mexico state line. Area in NM absorbed by SW14N. Area in TX is split into SA09 and SA08 along county lines.

    • SW09 - split at Texas/New Mexico state line. Area in NM remains SW09 or is absorbed by SW12. Area in TX is absorbed by SA08.

    • SW12 - absorbs sliver of SW09 along TX/NM border and the Guadalupe Mtns in TX.

    10/20/2021-10/21/2021 - Spatial and tabular changes made while completing topology checks for overlaps and gaps. Over 3400 errors found, but most were because of islands. 1367 errors remain, but are all marked as exceptions. Only major changes, such as complete deletion and re-creation of polygons were noted in the Comments or DateCurrent field. Edits by JKuenzi, USFS.

    2/3/2021 - Tabular change made in Alaska to the peninsula where the St. Michael Airport is located. PSA National Code changed from AK14 to AK08 per Nicholas Nauslar, BLM, and Heidi Strader, Fire Weather Program Mgr at Alaska Interagency Coordination Center. Edits by JKuenzi, USFS.

    6/20/2020 - PSA dataset attribute table brought into alignment with NWCG Data Standards for Predictive Service Areas. Edits by JKuenzi, USFS.

    8/3/2019 - Great Basin updated. Edits by DSampson, BLM.

  20. g

    Congressional District Atlas. 105th Congress of the United States

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Jan 22, 2020
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    U.S. Department of Commerce; U.S. Bureau of the Census (2020). Congressional District Atlas. 105th Congress of the United States [Dataset]. https://datasearch.gesis.org/dataset/httpsdataverse.unc.eduoai--hdl1902.29CD-0063
    Explore at:
    Dataset updated
    Jan 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    U.S. Department of Commerce; U.S. Bureau of the Census
    Area covered
    United States
    Description

    This edition of the Congressional District Atlas contains maps and tables for the 105th Congress of the United States. The maps show the boundaries of each congressional district. Tables listing the jurisdictions that are completely or partially within each congressional district are included. For states with only one congressional district, a state map is included but there is no table. The maps and tables are designed for page size (8 1/2 x 11) printed output. Although the map images use co lor for enhanced viewing, the design allows for acceptable black and white desktop printing. For more information, see the sections on Maps and Tables. Background: 103rd and 104th Congress Following the 1990 decennial census, most states redistricted for the 103rd Congress based upon the apportionment of the seats for the U.S. House of Representatives and the most recent decennial census data. For the 104th Congress, six states redistricted or through court action had either plans revised or redrawn. These states were Georgia, Louisiana, Maine, Minnesota, South Carolina and Virginia. The 104th Congress began January 1995 and continued through the beginning of January 1997. 105th Congress The 105th Congress began January 5, 1997 and continues through the beginning of January 1999. For the 105th Congress, Florida, Georgia, Kentucky, Louisiana, and Texas had new or revised congressional district plans. The Census Bureau retabulated demographic data from the 1990 census to accommodate any congressional district boundary changes from the previous Congress. This data is available on a separate CD-ROM from the Census Bureau Customer Service Branch (301) 457-4100. The 105th Congressional District Atlas CD-ROM provides maps showing the boundaries of the congressional districts of the 105th Congress. To meet the data needs for the 105th Congress, the Census Bureau designed this product on CD-ROM for all states. It contains maps and related entity tables in Adobe.

    Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

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Texas Department of Transportation (2016). Texas County Boundaries (line) [Dataset]. https://gis-txdot.opendata.arcgis.com/datasets/texas-county-boundaries-line
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Texas County Boundaries (line)

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Dataset updated
Jul 19, 2016
Dataset authored and provided by
Texas Department of Transportationhttp://txdot.gov/
Area covered
Description

This dataset was created by the Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) for planning and asset inventory purposes, as well as for visualization and general mapping. County boundaries were digitized by TxDOT using USGS quad maps, and converted to line features using the Feature to Line tool. This dataset depicts a generalized coastline.Update Frequency: As NeededSource: Texas General Land OfficeSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

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