100+ datasets found
  1. CA Geographic Boundaries

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    shp
    Updated May 3, 2024
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    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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    shp(10153125), shp(136046), shp(2597712)Available download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  2. g

    TIGER/Line Shapefile, 2021, State, California, County Subdivisions

    • gimi9.com
    • catalog.data.gov
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    TIGER/Line Shapefile, 2021, State, California, County Subdivisions [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-2021-state-california-county-subdivisions/
    Explore at:
    License

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

    Area covered
    California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2021, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  3. California Counties

    • data.ca.gov
    • catalog.data.gov
    • +1more
    Updated Mar 6, 2025
    + more versions
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    California Department of Education (2025). California Counties [Dataset]. https://data.ca.gov/dataset/california-counties
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    gdb, kml, geojson, xlsx, csv, zip, html, txt, gpkg, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    California Department of Educationhttps://www.cde.ca.gov/
    Area covered
    California
    Description

    This layer contains the boundaries for California’s 58 counties. County features are derived from the US Census Bureau's TIGER/Line database and have been clipped to the coastal boundary line and designed to overlay with the California Department of Education’s (CDE) educational boundary layers.

  4. TIGER/Line Shapefile, Current, State, California, County Subdivision

    • catalog.data.gov
    Updated Aug 7, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, California, County Subdivision [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-california-county-subdivision
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    Dataset updated
    Aug 7, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    California
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  5. California County Boundaries

    • kaggle.com
    zip
    Updated Oct 30, 2024
    + more versions
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    Kyle Scissons (2024). California County Boundaries [Dataset]. https://www.kaggle.com/datasets/kylescissons/california-county-boundaries/suggestions
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    zip(2597903 bytes)Available download formats
    Dataset updated
    Oct 30, 2024
    Authors
    Kyle Scissons
    Area covered
    California
    Description

    The California State County Boundary data.

    This dataset offers high-resolution boundary definitions, which allow users to analyze and visualize California’s county limits within mapping and spatial analysis projects.

    The shapefile is part of a ZIP archive containing multiple related files that together define and support the boundary data. These files include:

    .shp (Shape): This is the core file containing the vector data for California’s boundary, representing the geographic location and geometry of the state outline.

    .shx (Shape Index): A companion index file for the .shp file, allowing for quick spatial queries and efficient data access.

    .dbf (Attribute Table): A database file that stores attribute data linked to the geographic features in the .shp file, such as area identifiers or classification codes, in a tabular format compatible with database applications.

    .prj (Projection): This file contains projection information, specifying the coordinate system and map projection used for the data, essential for aligning it accurately on maps.

    .cpg (Code Page): This optional file indicates the character encoding for the attribute data in the .dbf file, which is useful for ensuring accurate text representation in various software.

    .sbn and .sbx (Spatial Index): These files serve as a spatial index for the shapefile, allowing for faster processing of spatial queries, especially for larger datasets.

    .xml (Metadata): A metadata file in XML format, often following FGDC or ISO standards, detailing the dataset’s origin, structure, and usage guidelines, providing essential information about data provenance and quality.

    This comprehensive set of files ensures compatibility with most GIS software and allows users to perform a wide range of spatial analyses with detailed information on California’s boundary as defined by the U.S. Census Bureau's 2023 MAF/TIGER database.

  6. TIGER/Line Shapefile, 2022, State, California, CA, County Subdivision

    • datasets.ai
    • catalog.data.gov
    23, 55, 57
    Updated Jan 27, 2024
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    U.S. Census Bureau, Department of Commerce (2024). TIGER/Line Shapefile, 2022, State, California, CA, County Subdivision [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2022-state-california-ca-county-subdivision
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    55, 23, 57Available download formats
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    California
    Description

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

  7. California City Boundaries and Identifiers

    • data.ca.gov
    Updated Feb 26, 2025
    + more versions
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    California Department of Technology (2025). California City Boundaries and Identifiers [Dataset]. https://data.ca.gov/dataset/california-city-boundaries-and-identifiers
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    zip, csv, html, gpkg, txt, kml, xlsx, geojson, gdb, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California City
    Description

    Note: The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services beginning in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.

    This dataset is regularly updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose
    City boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is not guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.

    This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

    1. Cities: Only the city boundaries and attributes, without any unincorporated areas
    2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
    3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
    4. City and County Abbreviations
    5. Unincorporated Areas (Coming Soon)
    6. Census Designated Places
    7. Cartographic Coastline
    Working with Coastal Buffers
    The dataset you are currently viewing excludes the coastal buffers for cities and counties that have them in the source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except OFFSHORE and AREA_SQMI to get a version with the correct identifiers.

    Point of Contact

    California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

    Field and Abbreviation Definitions

    • CDTFA_CITY: CDTFA incorporated city name
    • CDTFA_COUNTY: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • CDTFA_COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system. The boundary data originate with CDTFA's teams managing tax rate information, so this field is preserved and flows into this dataset.
    • CENSUS_GEOID: numeric geographic identifiers from the US Census Bureau
    • CENSUS_PLACE_TYPE: City, County, or Town, stripped off the census name for identification purpose.
    • GNIS_PLACE_NAME: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • CDT_CITY_ABBR: Abbreviations of incorporated area names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 4 characters. Not present in the county-specific layers.
    • CDT_COUNTY_ABBR: Abbreviations of county names - originally derived from CalTrans Division of Local Assistance and now managed by CDT. Abbreviations are 3 characters.
    • CDT_NAME_SHORT: The name of the jurisdiction (city or county) with the word "City" or "County" stripped off the end. Some changes may come to how we process this value to make it more consistent.
    • AREA_SQMI: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • OFFSHORE: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • PRIMARY_DOMAIN: Currently empty/null for all records. Placeholder field for official URL of the city or county
    • CENSUS_POPULATION: Currently null for all records. In the future, it will include the most recent US Census population estimate for the jurisdiction.
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

    Boundary Accuracy
    County boundaries were originally

  8. g

    TIGER/Line Shapefile, Current, State, California, County Subdivision |...

    • gimi9.com
    Updated Aug 7, 2025
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    (2025). TIGER/Line Shapefile, Current, State, California, County Subdivision | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-current-state-california-county-subdivision
    Explore at:
    Dataset updated
    Aug 7, 2025
    License

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

    Area covered
    California
    Description

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

  9. C

    TIGER/Line Shapefile, 2010, 2010 nation, U.S., 2010 Census County and...

    • data.cnra.ca.gov
    qgis
    Updated May 8, 2019
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    Ocean Data Partners (2019). TIGER/Line Shapefile, 2010, 2010 nation, U.S., 2010 Census County and Equivalent National [Dataset]. https://data.cnra.ca.gov/dataset/tiger-line-shapefile-2010-2010-nation-u-s-2010-census-county-and-equivalent-national
    Explore at:
    qgisAvailable download formats
    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Ocean Data Partners
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File 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, and 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 2010 Census boundaries for counties and equivalent entities are as of January 1, 2010, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  10. County Land Use Surveys

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    zip
    Updated Aug 20, 2025
    + more versions
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    California Department of Water Resources (2025). County Land Use Surveys [Dataset]. https://data.cnra.ca.gov/dataset/county-land-use-surveys
    Explore at:
    zip(2634495), zip(10604183), zip(2054143), zip(5710414), zip(4679451), zip(15272771), zip(7565044), zip(1503509), zip(6986883), zip(851266), zip(4292237), zip(1149952), zip(6621547), zip(921279), zip(9657647), zip(2654105), zip(8366319), zip(1200935), zip(834553), zip(14077924), zip(3918753), zip(1604050), zip(3794407), zip(3023928), zip(29307), zip(3255617), zip(884368), zip(28962), zip(2254067), zip(5383870), zip(1257450), zip(2192148), zip(3169665), zip(1256496), zip(4410828), zip(1624192), zip(1286265), zip(1220622), zip(29308), zip(1567734), zip(1703087), zip(4786086), zip(445030), zip(2605159), zip(1393314), zip(7277559), zip(826916), zip(2143698), zip(2673855), zip(3136735), zip(518868), zip(738847), zip(910152), zip(18151216), zip(2948512), zip(19580112), zip(968729), zip(33757424), zip(15423139), zip(1543314), zip(2521283), zip(2303263), zip(4447997), zip(40382675), zip(3980836), zip(819268), zip(1266931), zip(9090270), zip(6604964), zip(3665014), zip(18082167), zip(10657157), zip(753428), zip(6905359), zip(7853706), zip(26367433), zip(7340471), zip(1956161), zip(3772537), zip(14838420), zip(1004916), zip(1335326), zip(3920963), zip(6243794), zip(3221490), zip(12729609), zip(2765379), zip(2825588), zip(1251089), zip(2042540), zip(6196257), zip(14074588), zip(14780550), zip(21073906), zip(23687041), zip(2443949), zip(6122568), zip(7616495), zip(1814126), zip(1219016), zip(3530243), zip(2199892), zip(2619215), zip(8492130), zip(4816590), zip(1873726), zip(938390), zip(464095), zip(5734228), zip(2793798), zip(1887064), zip(5129271), zip(3670681), zip(7774965), zip(1936637), zip(7127940), zip(6165331), zip(2452088), zip(1723341), zip(3652530), zip(4983522), zip(3737394), zip(1080894), zip(526434), zip(6705586), zip(24443249), zip(1310666), zip(4325007), zip(8653870), zip(304772), zip(10426348), zip(2219775), zip(378720), zip(1996545), zip(3843140), zip(18806631), zip(1355782), zip(629138), zip(217182), zip(23800505), zip(2753666), zip(278580), zip(1310201), zip(1374839), zip(15069648), zip(1592668), zip(3333145), zip(1750733), zip(867615), zip(29481), zip(10915952), zip(10203106), zip(2972655), zip(375661), zip(1321110), zip(1605640), zip(519308), zip(983808), zip(944517), zip(698628), zip(383970), zip(1307710), zip(3104964), zip(3322418), zip(1200375), zip(1269963), zip(1275654), zip(2587966), zip(4513350), zip(1049041), zip(2084853), zip(646287), zip(2059891), zip(1794395), zip(987579), zip(504256), zip(1011840), zip(2982393), zip(3471267), zip(1261220), zip(3703588), zip(7984506), zip(2600224), zip(29824), zip(9232116), zip(10213014), zip(999421), zip(1507745), zip(1193639), zip(1747606), zip(3332579), zip(1446531), zip(2839252), zip(23650932), zip(22855), zip(1166127), zip(10835478), zip(694815), zip(1789302), zip(6611222), zip(1093467), zip(9769951), zip(1306121), zip(1876561), zip(1157418), zip(1955626), zip(559980), zip(1570103), zip(4472090), zip(2809264), zip(10317706), zip(318787), zip(11381247), zip(1602547), zip(1666296), zip(983951), zip(21496454), zip(1434630), zip(19017613), zip(3309082), zip(11165233), zip(2315694)Available download formats
    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Description

    This is collection of DWR County Land Use Surveys. You may scroll the list below to download any individual survey of interest. Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer. For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping For Region Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/region-land-use-surveys Questions about the survey data may be directed to Landuse@water.ca.gov.

  11. TIGER/Line Shapefile, 2021, County, Lake County, CA, All Roads

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, County, Lake County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-county-lake-county-ca-all-roads
    Explore at:
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Lake County, California
    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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  12. California Counties

    • kaggle.com
    zip
    Updated Nov 3, 2020
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    Steve Klosterman (2020). California Counties [Dataset]. https://www.kaggle.com/datasets/klostest/california-counties
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    zip(2880496 bytes)Available download formats
    Dataset updated
    Nov 3, 2020
    Authors
    Steve Klosterman
    Area covered
    California
    Description

    Dataset

    This dataset was created by Steve Klosterman

    Released under Other (specified in description)

    Contents

  13. d

    TIGER/Line Shapefile, 2019, state, California, Current Census Tract...

    • catalog.data.gov
    Updated Oct 12, 2021
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    (2021). TIGER/Line Shapefile, 2019, state, California, Current Census Tract State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-california-current-census-tract-state-based
    Explore at:
    Dataset updated
    Oct 12, 2021
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  14. Caltrans Districts

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Mar 22, 2023
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    Caltrans (2023). Caltrans Districts [Dataset]. https://data.ca.gov/dataset/caltrans-districts
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    arcgis geoservices rest api, csv, kml, zip, geojson, htmlAvailable download formats
    Dataset updated
    Mar 22, 2023
    Dataset authored and provided by
    Caltranshttp://dot.ca.gov/
    License

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

    Description

    The District boundary definitions are primarily based on the California county boundaries. The Board of Equalization (BOE) County and City Boundary web service is the authoritative source of County boundaries and this was used to digitize the district boundaries based on the data from March 2023. This data is solely for informational purposes. District 9 has been operating independent of the Central Region since November 1, 2015. Kern County remains the only split county in the state, between Districts 6 and 9 respectively. The BOE data was also used to create the district boundary layers along the coastline.

  15. TIGER/Line Shapefile, 2021, County, Orange County, CA, All Roads

    • catalog.data.gov
    • datasets.ai
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, County, Orange County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-county-orange-county-ca-all-roads
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    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Orange County, California
    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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  16. TIGER/Line Shapefile, 2023, County, San Francisco County, CA, Area...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 10, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, San Francisco County, CA, Area Hydrography [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-san-francisco-county-ca-area-hydrography
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    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    San Francisco, California
    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 filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

  17. TIGER/Line Shapefile, Current, County, San Diego County, CA, All Roads

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, San Diego County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-san-diego-county-ca-all-roads
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    San Diego County, California
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  18. TIGER/Line Shapefile, 2020, County, Shasta County, CA, Topological Faces...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2020, County, Shasta County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2020-county-shasta-county-ca-topological-faces-polygons-with-all-geocodes
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Shasta County, California
    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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  19. TIGER/Line Shapefile, 2023, County, Imperial County, CA, All Lines

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 10, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Imperial County, CA, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-imperial-county-ca-all-lines
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    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Imperial County, California
    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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  20. TIGER/Line Shapefile, 2023, County, Plumas County, CA, Address Range-Feature...

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Plumas County, CA, Address Range-Feature Name Relationship File [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-plumas-county-ca-address-range-feature-name-relationship-file
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Plumas County, California
    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 filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

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California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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CA Geographic Boundaries

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50 scholarly articles cite this dataset (View in Google Scholar)
shp(10153125), shp(136046), shp(2597712)Available download formats
Dataset updated
May 3, 2024
Dataset authored and provided by
California Department of Technologyhttp://cdt.ca.gov/
Description

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

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