41 datasets found
  1. O

    Boundaries: State of Texas Counties

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +1more
    Updated Jul 1, 2025
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    US Census (2025). Boundaries: State of Texas Counties [Dataset]. https://data.austintexas.gov/Locations-and-Maps/Boundaries-State-of-Texas-Counties/tnsq-nquk
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    csv, application/rssxml, application/geo+json, kmz, application/rdfxml, xml, tsv, kmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    US Census
    License

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

    Area covered
    Texas
    Description

    Cartographic Boundary Map provided the State of Texas Open Data Portal here: https://data.texas.gov/dataset/Texas-Counties-Cartographic-Boundary-Map/sw7f-2kkd/about_data

    Terms of Use This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been provided by the City of Austin via the US Census Bureau for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

  2. Texas County Boundaries (line)

    • gis-txdot.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    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]

  3. d

    Texas-Harvey Basemap - Addresses and Boundaries

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 30, 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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    Dataset updated
    Dec 30, 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/]

  4. Texas County Boundaries Detailed

    • hub.arcgis.com
    • gis-txdot.opendata.arcgis.com
    Updated Aug 12, 2016
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    Texas Department of Transportation (2016). Texas County Boundaries Detailed [Dataset]. https://hub.arcgis.com/maps/TXDOT::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: As NeededSource: Texas General Land OfficeSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

  5. W

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, AUSTIN COUNTY, TEXAS (AND...

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    Updated Mar 17, 2021
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    United States (2021). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, AUSTIN COUNTY, TEXAS (AND INCORPORATED AREAS) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/digital-flood-insurance-rate-map-database-austin-county-texas-and-incorporated-areas
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    Dataset updated
    Mar 17, 2021
    Dataset provided by
    United States
    Area covered
    Texas
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

  6. O

    Texas Counties Centroid Map

    • data.texas.gov
    • s.cnmilf.com
    • +1more
    Updated Apr 8, 2021
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    (2021). Texas Counties Centroid Map [Dataset]. https://data.texas.gov/dataset/Texas-Counties-Centroid-Map/ups3-9e8m
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    tsv, xml, csv, application/rdfxml, application/rssxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Apr 8, 2021
    Area covered
    Texas
    Description

    Texas county centroid latitude and longitude map data.

  7. d

    2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and...

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). 2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and Equivalent for Texas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-kml-2010-urban-areas-ua-within-2010-county-and-equivalent-for-texas-
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    Dataset updated
    Jan 15, 2021
    Area covered
    Texas
    Description

    The 2019 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 records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. 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 generalized boundaries for counties and equivalent entities are as of January 1, 2010.

  8. A

    Digital Flood Insurance Rate Map Database for Brazos County, TX, USA

    • data.amerigeoss.org
    • datadiscoverystudio.org
    arce +2
    Updated Jul 31, 2019
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    United States (2019). Digital Flood Insurance Rate Map Database for Brazos County, TX, USA [Dataset]. https://data.amerigeoss.org/fi/dataset/digital-flood-insurance-rate-map-database-for-brazos-county-tx-usacb87f
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    arce, mapinfo interchange file (mif), shpAvailable download formats
    Dataset updated
    Jul 31, 2019
    Dataset provided by
    United States
    License

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

    Area covered
    Brazos County, United States, Texas
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). This file is georeferenced to the earth's surface using the Lambert Conformal Conic projection and the Texas State Plane NAD83 Central Zone coordinate system, projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. The Vertical Datum of this data set is North American Vertical Datum 1988 (NAVD88). The specifications for the vertical control of DFIRM data files are consistent with those required for mapping at a vertical accuracy of 2.4 feet or better.

  9. o

    Data from: US County Boundaries

    • public.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 27, 2017
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    (2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/
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    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    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 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 as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  10. 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.

  11. TxDOT Roadways

    • gis-txdot.opendata.arcgis.com
    • impactmap-smudallas.hub.arcgis.com
    Updated Oct 8, 2022
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    Texas Department of Transportation (2022). TxDOT Roadways [Dataset]. https://gis-txdot.opendata.arcgis.com/maps/TXDOT::txdot-roadways/about
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    Dataset updated
    Oct 8, 2022
    Dataset authored and provided by
    Texas Department of Transportationhttp://txdot.gov/
    Area covered
    Description

    The Texas Department of Transportation (TxDOT) maintains a spatial dataset of roadway polylines for planning and asset inventory purposes, as well as for visualization and general mapping. This dataset covers the state of Texas and includes on-system routes (those that TxDOT maintains), such as interstate highways, U.S. highways, state highways, and farm and ranch roads, as well as off-system routes, such as county roads and local streets. Route segments in this version of TxDOT Roadways are broken by functional classification. For an unsegmented version of TxDOT Roadways, see TxDOT Roadways Unsegmented.

    This data contains measures. Measures are stored as M-values within each vertex along the line, in the same way that some datasets store z-values for the elevation, except that measures store the distance from the origin, or DFO, along the line. M-enabled networks serve as frameworks for locating roadway assets along the network using linear referencing. This data set must be downloaded as a file geodatabase in order to keep M-Values intact. If downloaded as a shapefile or added to a map from a connection to ArcGIS online, measures will not be applied to the line.

    Update Frequency: Monthly

    Source: Geospatial Roadway Inventory Database (GRID)

    Security Level: Public

  12. d

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, SMITH COUNTY, TEXAS, USA and...

    • datadiscoverystudio.org
    Updated Nov 14, 2017
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    (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, SMITH COUNTY, TEXAS, USA and Incorporated Areas. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4ea5935974fa4c639c700dbd3c43e170/html
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    Dataset updated
    Nov 14, 2017
    Area covered
    United States
    Description

    description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  13. Child Hunger & Poverty in the United States | Map the Meal Gap

    • map.feedingamerica.org
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    Feeding America, Child Hunger & Poverty in the United States | Map the Meal Gap [Dataset]. https://map.feedingamerica.org/county/2019/child
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    Dataset authored and provided by
    Feeding Americahttp://feedingamerica.org/
    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

    The Child food insecurity rate in the United States was 14.6% in 2019. Explore a map of child hunger statistics in the United States at the state and local level.

  14. H

    Texas Basemap - Transportation Map Data

    • hydroshare.org
    • beta.hydroshare.org
    zip
    Updated Nov 2, 2023
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    HydroShare (2023). Texas Basemap - Transportation Map Data [Dataset]. http://doi.org/10.4211/hs.106b38ab28b54f09a2c7a11b91269192
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    zip(1.8 GB)Available download formats
    Dataset updated
    Nov 2, 2023
    Dataset provided by
    HydroShare
    License

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

    Area covered
    Description

    This resource contains statewide networks of roadways, railroads, bridges, and low-water crossings, for Texas only.

    Roadways detail: The Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) maintains a spatial dataset of roadway polylines for planning and asset inventory purposes, as well as for visualization and general mapping. M values are stored in the lines as DFOs (Distance From Origin), and provide the framework for managing roadway assets using linear referencing. This dataset covers the state of Texas and includes on-systems routes (those that TxDOT maintains), such as interstate highways, U.S. highways, state highways, and farm and ranch roads, as well as off-system routes, such as county roads and local streets. Date valid as of: 12/31/2014. Publish Date: 05/01/2015. Update Frequency: Quarterly.

    Bridges detail: As with the roadways, both on-system and off-system bridges are maintained in separate datasets (54,844 total bridges, 36,007 on-system and 18,837 off-system). Bridges have numerous useful attributes, see coding guide [1] for documentation. One such attribute identifies structures that cross water: the second digit of Item 42 “Type of Service”. If the second digit is between 5 and 9 (inclusive) then the structure is over water. The bridges datasets are valid as of December 2016.

    The roadways and bridges datasets contained here were obtained directly from TxDOT through personal correspondence. An additional transportation data resource is the Texas Natural Resources Information System (TNRIS) [3]. The railroads and low-water crossings were obtained through TNRIS.

    November 2023 updates: in the years since this data archive was first published, TxDOT has developed an open data portal for downloading their roadway inventory and other datasets. Also, in 2023 TNRIS was renamed as the Texas Geographic Information Office (TxGIO). Their datahub [3] is continually evolving, but still has the tnris.org domain for now. We are not updating any of the basemap data in the contents list below, which was current at the time of Hurricane Harvey.

    References [1] TxDOT Bridges Coding Guide (download below) [2] TxDOT Open Data Portal [https://gis-txdot.opendata.arcgis.com/] [3] TNRIS/TxGIO data downloads [https://data.tnris.org/]

  15. Digital Flood Insurance Rate Map DATABASE, LEON COUNTY, TEXAS, USA

    • data.wu.ac.at
    shp
    Updated Nov 14, 2017
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    Federal Emergency Management Agency, Department of Homeland Security (2017). Digital Flood Insurance Rate Map DATABASE, LEON COUNTY, TEXAS, USA [Dataset]. https://data.wu.ac.at/schema/data_gov/YWQ2NzQzODEtZTMzNy00NDA1LWIwZGMtNDA1NTZlNzI1YTIy
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    shpAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    License

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

    Area covered
    04f2f89f6fdcf135ff2e65b05dbe1147eeea04f9
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Texas Central (FIPS 4203) State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  16. U

    Geospatial Dataset of the Geologic Framework and Hydrostratigraphy of the...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 19, 2021
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    Diana Pedraza; Allan Clark (2021). Geospatial Dataset of the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Hays County, Texas at 1:24,000 scale [Dataset]. http://doi.org/10.5066/P9IEJHMH
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    Dataset updated
    Nov 19, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Diana Pedraza; Allan Clark
    License

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

    Time period covered
    2016 - 2018
    Area covered
    Hays County, Texas
    Description

    The Texas Water Development Board classifies the karstic Edwards and Trinity aquifers as major sources of water in south-central Texas. To effectively manage the water resources in the area, detailed maps and descriptions of the geologic framework and hydrostratigraphic units of the aquifers outcropping in Hays County, Tex. are needed. In 2016 and 2018, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, mapped the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Tex. at 1:24,000 scale. These digital data accompany Clark, A.K., Pedraza, D.E., and Morris, R.R., 2018, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map 3418, pamphlet XX p., 1 sheet, scale 1:24,000, https://doi.org/10.3133/sim3418.

  17. 2022 Cartographic Boundary File (KML), Current Census Tract for Texas,...

    • catalog.data.gov
    • datasets.ai
    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). 2022 Cartographic Boundary File (KML), Current Census Tract for Texas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-current-census-tract-for-texas-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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.

  18. T

    Geologic Map of the Grit Quadrangle, Mason County, Texas

    • dataverse.tdl.org
    kmz, pdf, tar, zip
    Updated Feb 12, 2024
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    Brian Hunt; Brann Johnson; Mark Helper; Brian Hunt; Brann Johnson; Mark Helper (2024). Geologic Map of the Grit Quadrangle, Mason County, Texas [Dataset]. http://doi.org/10.18738/T8/NVXCZU
    Explore at:
    tar(211889152), pdf(2037806), tar(102765568), pdf(7723931), tar(5475328), kmz(2511431), zip(301052884)Available download formats
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Texas Data Repository
    Authors
    Brian Hunt; Brann Johnson; Mark Helper; Brian Hunt; Brann Johnson; Mark Helper
    License

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

    Area covered
    Texas
    Dataset funded by
    United States Geological Surveyhttp://www.usgs.gov/
    State of Texas Advanced Resource Recovery (STARR)
    Description

    Provides a summary report, geologic map database, and geologic maps for the Grit Quadrangle, Mason County, Texas.

  19. d

    2015 Cartographic Boundary File, Urban Area-State-County for Texas,...

    • catalog.data.gov
    Updated Jan 13, 2021
    + more versions
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    (2021). 2015 Cartographic Boundary File, Urban Area-State-County for Texas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2015-cartographic-boundary-file-urban-area-state-county-for-texas-1-5000001
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    Dataset updated
    Jan 13, 2021
    Area covered
    Texas
    Description

    The 2015 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. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. 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 as of January 1, 2010.

  20. T

    Dr. Emilio Mutis-Duplat, Unpublished Geologic Map Collection, Mason County,...

    • dataverse.tdl.org
    pdf, tar
    Updated Sep 20, 2023
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    Emilio Mutis-Duplat; Emilio Mutis-Duplat (2023). Dr. Emilio Mutis-Duplat, Unpublished Geologic Map Collection, Mason County, Central Texas [Dataset]. http://doi.org/10.18738/T8/3WGH4K
    Explore at:
    pdf(1438941), tar(2687579648)Available download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Texas Data Repository
    Authors
    Emilio Mutis-Duplat; Emilio Mutis-Duplat
    License

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

    Area covered
    Texas
    Dataset funded by
    State of Texas Advanced Resource Recovery (STARR)
    Description

    Unpublished geologic field maps scanned as images (JPG) and organized into 13 topographic 7.5 minute quadrangle from primarily Mason County, Texas.

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US Census (2025). Boundaries: State of Texas Counties [Dataset]. https://data.austintexas.gov/Locations-and-Maps/Boundaries-State-of-Texas-Counties/tnsq-nquk

Boundaries: State of Texas Counties

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csv, application/rssxml, application/geo+json, kmz, application/rdfxml, xml, tsv, kmlAvailable download formats
Dataset updated
Jul 1, 2025
Dataset authored and provided by
US Census
License

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

Area covered
Texas
Description

Cartographic Boundary Map provided the State of Texas Open Data Portal here: https://data.texas.gov/dataset/Texas-Counties-Cartographic-Boundary-Map/sw7f-2kkd/about_data

Terms of Use This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been provided by the City of Austin via the US Census Bureau for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

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