91 datasets found
  1. 2022 Cartographic Boundary File (KML), 118th Congressional Districts for...

    • catalog.data.gov
    Updated Dec 14, 2023
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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), 118th Congressional Districts for United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-118th-congressional-districts-for-united-states-1-20000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    United States
    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. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 118th Congress is seated from January 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The generalzied boundaries of all other congressional districts are based on information provided to the Census Bureau by the states by August 31, 2022.

  2. d

    Canvas Base.

    • datadiscoverystudio.org
    Updated Jun 26, 2018
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    Esri (2018). Canvas Base. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bd2cb4f8aa554f9899773c6cef434725/html
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    Dataset updated
    Jun 26, 2018
    Authors
    Esri
    Area covered
    Bering Sea, Pacific Ocean, Ross Sea, Proliv Longa, South Pacific Ocean, North Pacific Ocean, Proliv Longa, Arctic Ocean
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  3. w

    U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +3more
    esri rest
    Updated Jun 8, 2018
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    Department of the Interior (2018). U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2 [Dataset]. https://data.wu.ac.at/schema/data_gov/MmMzYjljMzQtZmJjMy00NjUwLWE3YmMtNzRlOWRmMTFkZTVj
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    esri restAvailable download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    d8998031d4cf34652dda2763c83c7b599a8a3521
    Description

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

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    Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in...

    • catalog.data.gov
    Updated Feb 22, 2025
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    U.S. Geological Survey (2025). Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2011 [Dataset]. https://catalog.data.gov/dataset/undersized-fire-mapping-program-thematic-burn-severity-mosaic-for-conus-in-2011-e0f01
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2011 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

  5. d

    2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • datadiscoverystudio.org
    html, zip
    Updated Jun 5, 2017
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    2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for Washington, 1:500,000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9ade294f09dc4bc68572d6031e3a3427/html
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    html, zipAvailable download formats
    Dataset updated
    Jun 5, 2017
    Description

    description: The 2016 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.; abstract: The 2016 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.

  6. d

    Map ORR Land Cover LandsatTM NLCD 30m 1992

    • search.dataone.org
    Updated Nov 17, 2014
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    Environmental Protection Agency; United States Geologic Survey (USGS) (2014). Map ORR Land Cover LandsatTM NLCD 30m 1992 [Dataset]. https://search.dataone.org/view/Map_ORR_Land_Cover_LandsatTM_NLCD_30m_1992.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Environmental Data for the Oak Ridge Area
    Authors
    Environmental Protection Agency; United States Geologic Survey (USGS)
    Time period covered
    Jan 1, 1990 - Jan 1, 1993
    Area covered
    Description

    This land cover map is a subset of the National Land Cover Dataset (NLCD) produced by the Multi-Resolution Land Characteristics (MRLC) Consortium (USGS, EPA, NOAA, and USFS) 1/6/1999. The NLCD was produced in order to provide a consistent, land cover data layer for the conterminous U.S. utilizing early 1990s Landsat Thematic Mapper data. The raster map depicts the land cover of the Oak Ridge Reservation at a 30m spatial resolution. Yang et al. (2001) found the thematic accuracy for the MRLC land cover map for the eastern U.S. to be 59.7% at Anderson Level II thematic detail and 80.5% at Anderson Level I.

    The NLCD classification scheme (based on Anderson et al. 1976) is as follows -

    Water - All areas of open water or permanent ice/snow cover. 11. Open Water - all areas of open water, generally with less than 25% cover of vegetation/land cover. 12. Perennial Ice/Snow - all areas characterized by year-long surface cover of ice and/or snow.

    Developed Areas characterized by a high percentage (30 percent or greater) of constructed materials (e.g. asphalt, concrete, buildings, etc). 21. Low Intensity Residential - Includes areas with a mixture of constructed materials and vegetation. Constructed materials account for 30-80 percent of the cover. Vegetation may account for 20 to 70 percent of the cover. These areas most commonly include single-family housing units. Population densities will be lower than in high intensity residential areas. 22. High Intensity Residential - Includes highly developed areas where people reside in high numbers. Examples include apartment complexes and row houses. Vegetation accounts for less than 20 percent of the cover. Constructed materials account for 80 to100 percent of the cover. 23. Commercial/Industrial/Transportation - Includes infrastructure (e.g. roads, railroads, etc.) and all highly developed areas not classified as High Intensity Residential.

    Barren - Areas characterized by bare rock, gravel, sand, silt, clay, or other earthen material, with little or no green vegetation present regardless of its inherent ability to support life. Vegetation, if present, is more widely spaced and scrubby than that in the green vegetated categories; lichen cover may be extensive. 31. Bare Rock/Sand/Clay - Perennially barren areas of bedrock, desert pavement, scarps, talus, slides, volcanic material, glacial debris, beaches, and other accumulations of earthen material. 32. Quarries/Strip Mines/Gravel Pits - Areas of extractive mining activities with significant surface expression. 33. Transitional - Areas of sparse vegetative cover (less than 25 percent of cover) that are dynamically changing from one land cover to another, often because of land use activities. Examples include forest clearcuts, a transition phase between forest and agricultural land, the temporary clearing of vegetation, and changes due to natural causes (e.g. fire, flood, etc.).

    Forested Upland - Areas characterized by tree cover (natural or semi-natural woody vegetation, generally greater than 6 meters tall); tree canopy accounts for 25-100 percent of the cover. 41. Deciduous Forest - Areas dominated by trees where 75 percent or more of the tree species shed foliage simultaneously in response to seasonal change. 42. Evergreen Forest - Areas dominated by trees where 75 percent or more of the tree species maintain their leaves all year. Canopy is never without green foliage. 43. Mixed Forest - Areas dominated by trees where neither deciduous nor evergreen species represent more than 75 percent of the cover present.

    Shrubland - Areas characterized by natural or semi-natural woody vegetation with aerial stems, generally less than 6 meters tall, with individuals or clumps not touching to interlocking. Both evergreen and deciduous species of true shrubs, young trees, and trees or shrubs that are small or stunted because of environmental conditions are included. 51. Shrubland - Areas dominated by shrubs; shrub canopy accounts for 25-100 percent of the cover. Shrub cover is generally greater than 25 percent when tree cover is less than 25 percent. Shrub cover may be less than 25 percent in cases when the cover of other life forms (e.g. herbaceous or tree) is less than 25 percent and shrubs cover exceeds the cover of the other life forms.

    Non-Natural Woody - Areas dominated by non-natural woody vegetation; non-natural woody vegetative canopy accounts for 25-100 percent of the cover. The non-natural woody classification is subject to the availability of sufficient ancillary data to differentiate non-natural woody vegetation from natural woody vegetation. 61. Orchards/Vineyards/Other - Orchards, vineyards, and other areas planted or maintained for the production of fruits, nuts, berries, or ornamentals.

    Herbaceous Upland - Upland areas characterized by natural or semi-natural herbaceous vegetation; herbaceous vegetation accounts for 75-100 percent of the cover. 71. Grasslands/Herbaceous - Areas dominated by upland grasses and forbs. In rare cases, herbaceous cover is less than 25 percent, but exceeds the combined cover of the woody species present. These areas are not subject to intensive management, but they are often utilized for grazing.

    Planted/Cultivated - Areas characterized by herbaceous vegetation that has been planted or is intensively managed for the production of food, feed, or fiber; or is maintained in developed settings for specific purposes. Herbaceous vegetation accounts for 75-100 percent of the cover. 81. Pasture/Hay - Areas of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops. 82. Row Crops - Areas used for the production of crops, such as corn, soybeans, vegetables, tobacco, and cotton. 83. Small Grains - Areas used for the production of graminoid crops such as wheat, barley, oats, and rice. 84. Fallow - Areas used for the production of crops that do not exhibit visable vegetation as a result of being tilled in a management practice that incorporates prescribed alternation between cropping and tillage. 85. Urban/Recreational Grasses - Vegetation (primarily grasses) planted in developed settings for recreation, erosion control, or aesthetic purposes. Examples include parks, lawns, golf courses, airport grasses, and industrial site grasses.

    Wetlands - Areas where the soil or substrate is periodically saturated with or covered with water. 91. Woody Wetlands - Areas where forest or shrubland vegetation accounts for 25-100 percent of the cover and the soil or substrate is periodically saturated with or covered with water. 92. Emergent Herbaceous Wetlands - Areas where perennial herbaceous vegetation accounts for 75-100 percent of the cover and the soil or substrate is periodically saturated with or covered with water.

    Citations Anderson, J. F., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A land use and land cover classification system for use with remote sensor data. In: U.S. Geological Survy Professional Paper. 964 (pp.28). Washingont, DC: U.S. Geological Survey.

    Yang, L., S. V. Stehman, J. H. Smith, and J. D. Wichham. 2001. Thematic accuracy of MRLC land cover for the eastern United States. Remote Sensing of Environment, 76:418-422.

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    Map showing inventory and regional susceptibility for Holocene debris flows...

    • dataone.org
    Updated Dec 1, 2016
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    Brabb, E.E.; Colgan, J.P.; Best, T.C. (2016). Map showing inventory and regional susceptibility for Holocene debris flows and related fast moving landslides in the conterminous United States: Raster data [Dataset]. https://dataone.org/datasets/5155b1e4-7324-4094-8e83-62746b62a5b0
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Brabb, E.E.; Colgan, J.P.; Best, T.C.
    Time period covered
    Jan 1, 1928 - Jan 1, 1999
    Area covered
    Pacific Ocean, North Pacific Ocean
    Variables measured
    Debris-flow susceptibility grid cell value
    Description

    Debris flows, debris avalanches, mud flows and lahars are fast-moving landslides that occur in a wide variety of environments throughout the world. They are particularly dangerous to life and property because they move quickly, destroy objects in their paths, and can strike with little warning. The purpose of this map is to show where debris flows have occurred in the conterminous United States and where these slope movements might be expected in the future.

  8. a

    North America Lakes

    • hub.arcgis.com
    Updated Oct 26, 2023
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    CECAtlas (2023). North America Lakes [Dataset]. https://hub.arcgis.com/datasets/4cf66bf1ae124bf59d1144b789529385
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    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    CECAtlas
    License

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

    Area covered
    Description

    This North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data.The North American Environmental Atlas – Lakes and Rivers dataset displays the coastline, linear hydrographic features (major rivers, streams, and canals), and area hydrographic features (major lakes and reservoirs) of North America at a reference spatial scale of 1:1,000,000.This map offers a seamless integration of hydrographic features derived from cartographic products generated by Natural Resources Canada (NRCan), United States Geological Survey (USGS), National Institute of Statistics and Geography, (Instituto Nacional de Estadística y Geografía-Inegi), National Water Commission (Comisión Nacional del Agua-Conagua).This current version of the North America Lakes and Rivers dataset supersedes the version published by the Commission for Environmental Cooperation in 2011.Files Download

  9. gNATSGO data source FY2024

    • hub.arcgis.com
    Updated Jan 31, 2025
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    USDA NRCS ArcGIS Online (2025). gNATSGO data source FY2024 [Dataset]. https://hub.arcgis.com/datasets/e8b7bcb7c5714c0c8d128d31706b1157
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    https://arcgis.com/
    Authors
    USDA NRCS ArcGIS Online
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    Gridded National Soil Survey Geographic Database (gNATSGO)gNATSGO for AllRaster Soil Surveys (RSS)Web Soil SurveyGridded Soil Survey Geographic (gSSURGO) DatabasegNATSGO now uses the GeoPackage version of the SQLite SSURGO Template database instead of an ESRI File Geodatabase.

    In 2025, only a single large gNATSGO database was created for all areas of the United States and Island Jurisdictions. State tiles were not produced.

    This database is designed to be used with the new SSURGO Portal application Soil Data Viewer (SDV) tool, which has the same ratings as Web Soil Survey.
    Access SSURGO Portal at https://www.nrcs.usda.gov/resources/data-and-reports/ssurgo-portal. Refer to the Quick Start Guide for SSURGO Portal installation instructions.
    You can install SSURGO Portal and then use SDV to make thematic maps for the entire United States. Refer to the SSURGO Portal User Guide for SDV instructions. You can also refer to the 6 minute mark of this youtube video. https://www.youtube.com/watch?v=4FGuxqxbCG0 SDV is a replacement for the old Soil Data Viewer ArcMap tool and the old GSSURGO Create Soil Map ArcMap tool.

    DB Browser is a free application for viewing and querying SQLite files. GeoPackages are SQLite files and can be opened in DB Browser.

    Rasters of soil map units are delivered as 30m cell size tif files, with dbf attribute tables, statistics, and pyramids pre built.

    The source.shp file shows the original source of data, with the options being Raster Soil Survey (RSS), SSURGO, and STATSGO.

    The mupolygon, mupoint, muline, featpoint, featline, featdesc, and sapolygon feature classes with the database are empty but were retained due to database schema requirements.

    Contact soilshotline@usda.gov for assistance.

  10. a

    North America Glaciers and Sea Ice

    • hub.arcgis.com
    • climate.esri.ca
    • +2more
    Updated Apr 25, 2023
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    CECAtlas (2023). North America Glaciers and Sea Ice [Dataset]. https://hub.arcgis.com/maps/08d3ba05df344b1a9a9e6a034a4ca032
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    Dataset updated
    Apr 25, 2023
    Dataset authored and provided by
    CECAtlas
    License

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

    Area covered
    North America,
    Description

    A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística y Geografía), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Cooperation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries for download.The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g., roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data.The North American Atlas - Glaciers data set shows areas of permanent ice found on the North America landmass including Greenland and shows areas of land found within glaciers. No distinction is made between major glaciers, ice fields, and the Greenland ice cap. The only permanent ice shown on land areas outside of North America and Greenland is in Iceland.This is a revised version of the 2004 data set.Files Download

  11. d

    La Parguera Accuracy Assessment Point Data for Benthic Habitats of Puerto...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Oct 18, 2024
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    (Point of Contact, Custodian) (2024). La Parguera Accuracy Assessment Point Data for Benthic Habitats of Puerto Rico and the U.S. Virgin Islands [Dataset]. https://catalog.data.gov/dataset/la-parguera-accuracy-assessment-point-data-for-benthic-habitats-of-puerto-rico-and-the-u-s-virg6
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Puerto Rico, U.S. Virgin Islands, La Parguera
    Description

    This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the United States Geological Survey; the National Park Service; and the National Geophysical Data Center. The goal of this work was to develop coral reef mapping methods and compare the accuracy of benthic habitat maps generated from on-screen digitizing off of georeferenced color aerial photography, with maps digitized directly from hard copy photographs using a stereoplotter. Thematic accuracy of the Puerto Rico and U.S. Virgin Islands habitat maps was evaluated for the three most general habitat categories: unconsolidated sediment, submerged vegetation, and coral reef/hard bottom. Accuracy was estimated at two locations within the project area that included the full complement of habitat types, depth ranges, and water conditions representative of Puerto Rico and the U.S. Virgin Islands. For this reason, the accuracy of maps measured at these two locations is assumed to be representative of map accuracy elsewhere in the project area. This approach, which focused in two small areas, enabled a statistically robust evaluation of thematic accuracy to be conducted without the logistic difficulty of collecting data for accuracy assessment over the entire project area.Comparison with the accuracy assessment data revealed very similar levels of thematic accuracy between the two maps. Overall accuracy was 93.6 percent (Kappa 0.93). Maps produced from on-screen digitizing were almost 100 percent accurate for the submerged vegetation and unconsolidated sediment categories but misclassified a small percentage of hardbottom sites as unconsolidated sediment. Similarly, the maps produced using the stereoplotter were 100 percent accurate at classifying submerged vegetation but misclassified a small percentage of hardbottom and unconsolidated sediment sites. These findings suggest that both of these mapping techniques result in acceptable levels of thematic accuracy for maps produced at this scale with this type of classification scheme.

  12. 2015 Cartographic Boundary File, State-Congressional District-County for...

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +2more
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    Updated May 17, 2016
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    US Census Bureau, Department of Commerce (2016). 2015 Cartographic Boundary File, State-Congressional District-County for United States, 1:500,000 [Dataset]. https://data.wu.ac.at/schema/data_gov/OThiYjAzMTQtMWI3My00ZDIwLTliNWEtMjU2MTAzZWNlNDIz
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    May 17, 2016
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    License

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

    Area covered
    7ca1d26527e8fa44c16359d07c6bd45e12afa070, United States
    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 the 114th Congressional Districts that overlap a particular county.

    Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).

    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.

  13. 2023 Cartographic Boundary File (KML), Division for United States,...

    • 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), Division for United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-division-for-united-states-1-20000000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    United States
    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. Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.

  14. 2020 Census Atlas of Redistricting Data

    • cgs-topics-lincolninstitute.hub.arcgis.com
    Updated Aug 24, 2021
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    Esri (2021). 2020 Census Atlas of Redistricting Data [Dataset]. https://cgs-topics-lincolninstitute.hub.arcgis.com/items/4cdbe664bc2049378d3a17c923f07824
    Explore at:
    Dataset updated
    Aug 24, 2021
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    It’s redistricting time. It’s a time to realign congressional districts based on how the population has changed in the previous decade. The U.S. Census Bureau released 2020 Decennial Census redistricting data, which is now available in ArcGIS Living Atlas freely available to all users. This Atlas contains a set of ready-to-use thematic maps of some of the more popular redistricting attributes. For more redistricting data, maps, and apps, visit ArcGIS Living Atlas or see the below resources.2020 Redistricting PL Data:These layers contain Census block, block group, tract, county, and state level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables. Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data ProgramDecennial 2020 Census layers group Decennial 2020 Census Map and App Examples

  15. A

    Tactile Maps of Canada-Maps for Education-The Thematic Tactile Atlas of...

    • data.amerigeoss.org
    • open.canada.ca
    cdr, gif, html, pdf
    Updated Jul 22, 2019
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    Canada (2019). Tactile Maps of Canada-Maps for Education-The Thematic Tactile Atlas of Canada-Rock Types [Dataset]. https://data.amerigeoss.org/ca/dataset/ea93b288-1579-58e8-b7eb-b72e16370cea
    Explore at:
    cdr, pdf, html, gifAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Area covered
    Canada
    Description

    The map title is Rock Types. Map scale. North arrow pointing to the north. Map projection is Hammer-Aitoff. Border of Canada. Great Lakes Border for each theme category within Canada. Neat line around the map. Each theme category is identified by a number that corresponds to the legend. Legend is divided into three categories: Metamorphic rocks, Deformed Sedimentary and Igneous rocks, Flat Lying Sedimentary rocks. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  16. d

    2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • datadiscoverystudio.org
    • data.wu.ac.at
    html, zip
    Updated Jun 5, 2017
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    (2017). 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for Mississippi, 1:500,000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0946360533f94c8a921d65b75225e758/html
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    Jun 5, 2017
    Description

    description: The 2016 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.; abstract: The 2016 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.

  17. 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • data.wu.ac.at
    html, zip
    Updated Jun 5, 2017
    + more versions
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    US Census Bureau, Department of Commerce (2017). 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for North Carolina, 1:500,000 [Dataset]. https://data.wu.ac.at/schema/data_gov/OGNmODQ1ZTgtOTNiOC00YmIzLTg2MzctY2FhZmRlYjBiNjgz
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    Jun 5, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    License

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

    Area covered
    58972d7c36bc812bfd352ae743da7d1887733ef6
    Description

    The 2016 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.

  18. Housing with Mortgages-Copy

    • hub.arcgis.com
    Updated Nov 15, 2017
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    Esri Aid & Development Team (2017). Housing with Mortgages-Copy [Dataset]. https://hub.arcgis.com/maps/04ed87c40018497e89d0b40ddf188eb9
    Explore at:
    Dataset updated
    Nov 15, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Aid & Development Team
    Area covered
    Description

    Part of the American Dream is owning your own home. This map shows the percentage of occupied housing that has a mortgage or loan in the U.S., by state, county, tract and block group. The data shown is from the U.S. Census Bureau's SF1 and TIGER data sets for 2010. See the map package for this data. The map is multi-scale – it switches from state, to county, to tract, to block group data as the map zooms in. The polygon data was shorelined and selected rivers and lakes were also erased from the boundaries to give a more familiar look at specific scales. At each scale, a simple popup shares a few key statistics in a paragraph, and displays a chart of housing by type of ownership.The thematic classifications are centered around the U.S. average for housing with mortgages (about 40%). The center classification is characterized as “Average.” Its break points are based on one-half standard deviation around the mean. Breakpoints for the “Low” and “High” classes are also determined from one-half standard deviation (9.7%). “Very Low” and “Very High” classes capture the remaining values.The thematic colors use colors chosen to emphasize the “high” end of the values. Darker colors are used to represent high values, while lighter colors represent low values. The “Average” class color is neutral. As you zoom into the map, a stroke is added to the polygon boundaries to delineate the county, tract and block group boundaries without allowing them to dominate the map (as is the case with black, white or other strong colors for boundaries).The light gray canvas basemap was selected for this web map to draw attention to the thematic content.

  19. d

    2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • datadiscoverystudio.org
    • data.wu.ac.at
    html, zip
    Updated Jun 5, 2017
    + more versions
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    (2017). 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for Louisiana, 1:500,000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/08ecc4f745844c9397fb1549a4597950/html
    Explore at:
    html, zipAvailable download formats
    Dataset updated
    Jun 5, 2017
    Description

    description: The 2016 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.; abstract: The 2016 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.

  20. 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County...

    • data.wu.ac.at
    html, zip
    Updated Jun 5, 2017
    + more versions
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    US Census Bureau, Department of Commerce (2017). 2016 Cartographic Boundary File, 2010 Urban Areas (UA) within 2010 County and Equivalent for Michigan, 1:500,000 [Dataset]. https://data.wu.ac.at/schema/data_gov/ZDk2M2E0NjEtMDU4NC00MjRjLWEzY2UtNjk1Mjk2MmI0ODNl
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    Jun 5, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    License

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

    Area covered
    192b816e6f889239a56171635ea7139f0d08f446
    Description

    The 2016 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.

Share
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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), 118th Congressional Districts for United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-118th-congressional-districts-for-united-states-1-20000000
Organization logoOrganization logo

2022 Cartographic Boundary File (KML), 118th Congressional Districts for United States, 1:20,000,000

Explore at:
Dataset updated
Dec 14, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
United States Department of Commercehttp://www.commerce.gov/
Area covered
United States
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. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 118th Congress is seated from January 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The generalzied boundaries of all other congressional districts are based on information provided to the Census Bureau by the states by August 31, 2022.

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