100+ datasets found
  1. a

    California Statewide Parcel Boundaries

    • hub.arcgis.com
    Updated Jul 9, 2020
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    County of Los Angeles (2020). California Statewide Parcel Boundaries [Dataset]. https://hub.arcgis.com/documents/baaf8251bfb94d3984fb58cb5fd93258
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    Dataset updated
    Jul 9, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    California
    Description

    This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

  2. K

    Orange County, CA Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 4, 2018
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    Orange County, California (2018). Orange County, CA Parcels [Dataset]. https://koordinates.com/layer/98184-orange-county-ca-parcels/
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    dwg, mapinfo mif, csv, shapefile, kml, pdf, geodatabase, mapinfo tab, geopackage / sqliteAvailable download formats
    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    Orange County, California
    Area covered
    Description

    Vector polygon map data covering property parcels from Orange County, California containing 699,877 features.

    Parcel map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  3. K

    Tulare County, California Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 27, 2022
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    Tulare County, California (2022). Tulare County, California Parcels [Dataset]. https://koordinates.com/layer/107906-tulare-county-california-parcels/
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    mapinfo mif, geopackage / sqlite, dwg, mapinfo tab, shapefile, geodatabase, kml, pdf, csvAvailable download formats
    Dataset updated
    May 27, 2022
    Dataset authored and provided by
    Tulare County, California
    Area covered
    Description

    Vector polygon map data of property parcels from Tulare County, California containing 159,913 features.

    Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  4. a

    Parcel Viewer App

    • data-roseville.opendata.arcgis.com
    Updated Dec 20, 2014
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    CityofRoseville (2014). Parcel Viewer App [Dataset]. https://data-roseville.opendata.arcgis.com/items/2a67e5a4e1cc4f489868b6563589bf19
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    Dataset updated
    Dec 20, 2014
    Dataset authored and provided by
    CityofRoseville
    Description

    Property Information Tool Map used in the Property Information Tool App. Allows users to print parcel and property information reports for City Parcels.

  5. c

    SPIPublicMapViewer

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Jan 11, 2019
    + more versions
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    CA Department of General Services (2019). SPIPublicMapViewer [Dataset]. https://gis.data.ca.gov/maps/8a664a5ab7d148c7907debe4bae4f001
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    Dataset updated
    Jan 11, 2019
    Dataset authored and provided by
    CA Department of General Services
    Area covered
    Description

    Statewide Property Inventory started in 1989 per legislation 11011.15, to begin a pro-active approach to managing the State’s Real Property assets in a computerized format. Having the information in an electronic format makes it available to top level decision-makers considering options for the best use of these assets. The Statewide Property Inventory is mandated to capture detailed information on the following: land owned and leased by the state, structures owned and leased by the state, property the state leases to the private sector. Statewide Property Inventory was established in 1988 by legislative mandate. Leases were added in 2004 by executive order. Data is updated annually by the agencies. Point of Contact: Any questions should be referred to the SPIWeb@dgs.ca.gov

  6. K

    Los Angeles Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 3, 2018
    + more versions
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    City of Los Angeles, California (2018). Los Angeles Parcels [Dataset]. https://koordinates.com/layer/98155-los-angeles-parcels/
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    dwg, mapinfo mif, pdf, shapefile, csv, geodatabase, kml, geopackage / sqlite, mapinfo tabAvailable download formats
    Dataset updated
    Oct 3, 2018
    Dataset authored and provided by
    City of Los Angeles, California
    Area covered
    Description

    This layer represents current city parcels within the City of Los Angeles. It shares topology with the Landbase parcel lines feature class. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way, ownership and land record information. The legal boundaries are determined on the ground by license surveyors in the State of California, and by recorded documents from the Los Angeles County Recorder's office and the City Clerk's office of the City of Los Angeles. Parcel and ownership information are available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the landbase parcels is entered into attributes. Principal attributes include:PIN and PIND: represents the unique auto-generated parcel identifier and key to related features and tables. This field is related to the LA_LEGAL, LA_APN and LA_HSE_NBR tables. PIN contains spaces and PIND replaces those spaces with a dash (-).LA_LEGAL - Table attributes containing legal description. Principal attributes include the following:TRACT: The subdivision tract number as recorded by the County of Los AngelesMAP_REF: Identifies the subdivision map book reference as recorded by the County of Los Angeles.LOT: The subdivision lot number as recorded by the County of Los Angeles.ENG_DIST: The four engineering Districts (W=Westla, C=Central, V= Valley and H=Harbor).CNCL_DIST: Council Districts 1-15 of the City of Los Angeles. OUTLA means parcel is outside the City.LA_APN- Table attributes containing County of Los Angeles Assessors information. Principal attributes include the following:BPP: The Book, Page and Parcel from the Los Angeles County Assessors office. SITUS*: Address for the property.LA_HSE_NBR - Table attributes containing housenumber information. Principal attributes include the following:HSE_ID: Unique id of each housenumber record.HSE_NBR: housenumber numerical valueSTR_*: Official housenumber addressFor a complete list of attribute values, please refer to Landbase_parcel_polygons_data_dictionary.

    © Randy Price Division Manager Mapping and Land Records Division Bureau of Engineering / Department of Public Works City of Los Angeles This layer is sourced from lacitydbs.org

  7. Parcelization (Tile Layer)

    • data.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated Mar 25, 2024
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    California Energy Commission (2024). Parcelization (Tile Layer) [Dataset]. https://data.ca.gov/dataset/parcelization-tile-layer
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 25, 2024
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

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

    Description

    This dataset is available for download from: Parcelization (File Geodatabase)


    Parcelization, a measure of size and density of parcels in a localized area, is a development feasibility factor that is used in evaluating substations’ ability to support new utility-scale resources in long-term energy planning. A statewide dataset of parcel boundaries are used to develop this index. The parcels are converted into a 90-meter raster, containing values of a unique identifier reflective of Parcel APN. A focal statistics tool is used to count the number of unique parcels within a 0.5 mile radius of each parcel. This output is provided here and is an intermediate output to the final parcelization map. Users who wish to use this information to produce the final map should overlay parcel boundary data and extract the mean raster value within each parcel.


    The map is limited to the area considered with solar technical resource potential after a minimum set of land-use screens (referred to as the Base Exclusions) has been applied.


    More information on the methods developing this dataset as well as the main use of this dataset in state electric system planning processes can be found in a recent <a href='https://www.energy.ca.gov/publications/2023/calculating-parcelization-electric-system-planning' style='color:rgb(0, 97, 155);

  8. s

    Parcels with Site Addresses, Tuolumne County, California, July 2019

    • searchworks.stanford.edu
    zip
    Updated Jul 15, 2019
    + more versions
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    (2019). Parcels with Site Addresses, Tuolumne County, California, July 2019 [Dataset]. https://searchworks.stanford.edu/view/sc135ng7162
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    zipAvailable download formats
    Dataset updated
    Jul 15, 2019
    Area covered
    Tuolumne County, California
    Description

    The county parcel layer was derived over many years from the cadastral parcel maps prepared by the Assessor's Office. The complete and contiguous parcel fabric was then registered and rectified to the best available Public Land Survey (PLS) available. This PLS layer has many inherent inaccuracies related to the original surveys completed in the late 19th and early 20th centuries. As more accurate ground controls become available, the parcel layer will be adjusted. The parcel layer is currently updated roughly twice per year, based on changes to the cadastral maps by the assessor’s drafting function. This can result in delays of several months before updates due to land divisions, mergers, and boundary line adjustment are reflected in the parcel data sets used by these map pages.

  9. a

    Lake County Parcel

    • california-parcel-update-agis.hub.arcgis.com
    • project-gallery-agis.hub.arcgis.com
    Updated Apr 29, 2023
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    Advanced GIS Lab (2023). Lake County Parcel [Dataset]. https://california-parcel-update-agis.hub.arcgis.com/maps/6876439e560c457b95e63d99659ed04d
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    Dataset updated
    Apr 29, 2023
    Dataset authored and provided by
    Advanced GIS Lab
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Data Source: The data was downloaded from the Lake County, CA GIS portal, the 'parcel.shp' and 'zoning.shp' were spatially joined. Data was enriched with Fire Hazard Zone, Flood Risk Zone, Fault Zones, Landslide Risk, Liquifaction Zones, Drought Conditions, and the potential for Renewable Energy (Solar Radiation and Wind Speed) layers, in addition to the layers provided by the county. The table schema is detailed below.

  10. d

    California Statewide Zoning North

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 24, 2025
    + more versions
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    California Office of Land Use and Climate Innovation (2025). California Statewide Zoning North [Dataset]. https://catalog.data.gov/dataset/california-statewide-zoning-north
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Office of Land Use and Climate Innovation
    Area covered
    California
    Description

    The following data is provided as a public service, for informational purposes only. This data should not be construed as legal advice. Users of this data should independently verify its determinations prior to taking any action under the California Environmental Quality Act (CEQA) or any other law. The State of California makes no warranties as to accuracy of this data.This zoning data was collected from 535 of California"s 539 jurisdictions. An effort was made to contact each jurisdiction in the state and request zoning data in whatever form available. In the event that zoning maps were not available in a GIS format, maps were converted from PDF or image maps using geo-referencing techniques and then transposing map information to parcel geometries sourced from county assessor data. Collection efforts began in late 2021 and were mostly finished in late 2022. Some data has been updated in 2023. Sources and dates are documented in the "Source" and "Date" columns with more detail available in the accompanying sources table.Individual zoning maps were combined for this statewide dataset. As part of the aggregation process, contiguous areas with identical zone codes, within jurisdictions, were merged or dissolved. Some features representing roads with right-of-way or Null zone designations were removed from this data. Features less than 4 square meters in area were also removed.

  11. K

    Riverside County, California Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jan 14, 2024
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    Riverside County, California (2024). Riverside County, California Parcels [Dataset]. https://koordinates.com/layer/96844-riverside-county-california-parcels/
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    geodatabase, mapinfo tab, csv, shapefile, kml, dwg, geopackage / sqlite, pdf, mapinfo mifAvailable download formats
    Dataset updated
    Jan 14, 2024
    Dataset authored and provided by
    Riverside County, California
    Area covered
    Description

    Vector polygon map data of property parcels from Riverside County, California containing 846, 890 features.

    Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

    APN refers to Assessor's Parcel Number FLAG refers to a special designation for the parcel

  12. California Land Ownership

    • data.cnra.ca.gov
    • data.ca.gov
    • +8more
    Updated Sep 25, 2025
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    California Department of Forestry and Fire Protection (2025). California Land Ownership [Dataset]. https://data.cnra.ca.gov/dataset/california-land-ownership
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    arcgis geoservices rest api, kml, zip, html, csv, geojsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    License

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

    Area covered
    California
    Description

    This dataset was updated May, 2025.

    This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.

    Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.

    The current process for compiling the data sources includes:

    * Clipping input datasets to the California boundary

    * Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)

    * Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.

    * Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.

    * Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)

    * In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD

    * As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.

    In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.

    Data Sources:

    * GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf

    * US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore

    * Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases

    * Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov

    * Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html

    Data Gaps & Changes:

    Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

    25_1: The CPAD Input dataset was amended to merge large gaps in certain areas of the state known to be erroneous, such as Yosemite National Park, and to eliminate overlaps from the original input. The FWS input dataset was updated in February of 2025, and the DOD input dataset was updated in October of 2024. The BIA input dataset was the same as was used for the previous ownership version.

    24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.

    23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.

    22_1 : represents an initial version of ownership

  13. l

    Assessor Parcels

    • maps.longbeach.gov
    • measurea-longbeachca.hub.arcgis.com
    Updated Apr 14, 2021
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    City of Long Beach, CA (2021). Assessor Parcels [Dataset]. https://maps.longbeach.gov/maps/assessor-parcels
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    Dataset updated
    Apr 14, 2021
    Dataset authored and provided by
    City of Long Beach, CA
    Area covered
    Description

    This polygon layer contains the assessor tax parcels (ownership parcels). Assessor parcels are specific areas or spaces for which a single tax bill is issued. They are also the basis for building permitting activity and regulation.

  14. Digital Geologic-GIS Map of the Blackcap Mountain 15' Quadrangle, California...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of the Blackcap Mountain 15' Quadrangle, California (NPS, GRD, GRI, SEKI, BLMO digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Bateman (1965) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-blackcap-mountain-15-quadrangle-california-nps-grd-gri-sek
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Blackcap Mountain, California
    Description

    The Digital Geologic-GIS Map of the Blackcap Mountain 15' Quadrangle, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (blmo_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (blmo_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (blmo_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (seki_manz_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (seki_manz_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (blmo_geology_metadata_faq.pdf). Please read the seki_manz_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (blmo_geology_metadata.txt or blmo_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  15. D

    Department of Public Works Active Parcel History

    • data.sfgov.org
    • s.cnmilf.com
    • +1more
    csv, xlsx, xml
    Updated Dec 2, 2025
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    (2025). Department of Public Works Active Parcel History [Dataset]. https://data.sfgov.org/Geographic-Locations-and-Boundaries/Department-of-Public-Works-Active-Parcel-History/6df5-4k8u
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Note: These are the Department of Public Works Basemap Parcels, not the Assessor-Recorder's Taxable Parcels. See "How to use this dataset" for more information.

    A. SUMMARY Parcels are defined areas of land, demarcated by boundaries to visualize distinct and legal parcels of real property. Occasionally, parcels are divided or combined, and a new parcel can be created. This dataset connects current parcels in San Francisco to historical parcels that are associated with it.

    B. HOW THE DATASET IS CREATED This dataset utilizes the parcel change log to find associated parcels through an iterative process.

    C. UPDATE PROCESS This dataset will be refreshed daily, though the data may not change every day.

    D. HOW TO USE THIS DATASET The City and County of San Francisco has two related but distinct parcel databases. The first is managed by the Department of Public Works, is created by surveyors, and is used in the Department of Public Works basemap. Public Works parcels are used to identify very precisely where private properties end and where public City property begins (e.g. sidewalks, roads, rights of way, etc.). The second is managed by the Assessor-Recorder's Office. Assessor parcels are defined by Revenue and Taxation code and Property Tax law. The Assessor-Recorder uses official maps defined under Revenue and Taxation code section 325 in the creation of assessor parcels and are used to identify taxable property. Each of the Assessor's parcels have an Assessor's Parcel Number (APN) which is used by other departments including but not limited to Tax Collector for tax collection, DBI for permitting, and other use cases.

    Though most parcels are the same between Public Works and the Assessor’s Office, they are not a perfect match. APN's are retired and activated within the timeline parameters of tax years (July – June) based on tax roll state requirements, which means there can be a lag between the Public Works parcel changing and the associated APN being updated. Public Works’ City Basemap identifies legal parcels defined by California Code Subdivision Map Act and Assessor-Recorder’s parcels identify taxable parcel boundaries defined by Revenue and Taxation Code.

    Use this dataset to identify historical parcels from the Public Works Basemap that are associated with an active Public Works basemap parcel. This dataset is not a history of the Assessor-Recorder's Parcels.

    E. RELATED DATASETS

  16. Parcel Change Log
  17. Parcels - Active and Retired
  • d

    California General Plan Land Use

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 24, 2025
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    California Office of Land Use and Climate Innovation (2025). California General Plan Land Use [Dataset]. https://catalog.data.gov/dataset/california-general-plan-land-use
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Office of Land Use and Climate Innovation
    Area covered
    California
    Description

    The following data is provided as a public service, for informational purposes only. This data should not be construed as legal advice. Users of this data should independently verify its determinations prior to taking any action under the California Environmental Quality Act (CEQA) or any other law. The State of California makes no warranties as to accuracy of this data. General plan land use element data was collected from 532 of California's 539 jurisdictions. An effort was made to contact each jurisdiction in the state and request general plan data in whatever form available. In the event that general plan maps were not available in a GIS format, those maps were converted from PDF or image maps using geo-referencing techniques and then transposing map information to parcel geometries sourced from county assessor data. Collection efforts began in late 2021 and were mostly finished in late 2022. Some data has been updated in 2023. Sources and dates are documented in the "Source" and "Date" columns with more detail available in the accompanying sources table. Data from a CNRA funded project, performed at UC Davis was used for 7 jurisdictions that had no current general plan land use maps available. Information about that CNRA funded project is available here: https://databasin.org/datasets/8d5da7200f4c4c2e927dafb8931fe75dIndividual general plan maps were combined for this statewide dataset. As part of the aggregation process, contiguous areas with identical use designations, within jurisdictions, were merged or dissolved. Some features representing roads with right-of-way or Null zone designations were removed from this data. Features less than 4 square meters in area were also removed.

  • Digital Geologic-GIS Map of the Mono Craters 15' Quadrangle, California...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of the Mono Craters 15' Quadrangle, California (NPS, GRD, GRI, YOSE, MCRA digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Kistler (1966) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-mono-craters-15-quadrangle-california-nps-grd-gri-yose-mcr
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Mono–Inyo Craters, California
    Description

    The Digital Geologic-GIS Map of the Mono Craters Quadrangle, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mcra_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (mcra_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mcra_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (yose_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (yose_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mcra_geology_metadata_faq.pdf). Please read the yose_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mcra_geology_metadata.txt or mcra_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  • a

    Parcels

    • open-data-carlsbad.hub.arcgis.com
    Updated Dec 4, 2023
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    City of Carlsbad GIS (2023). Parcels [Dataset]. https://open-data-carlsbad.hub.arcgis.com/datasets/parcels
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    Dataset updated
    Dec 4, 2023
    Dataset authored and provided by
    City of Carlsbad GIS
    Area covered
    Description

    Download Data Dictionary (CSV)This dataset comprises polygons representing current taxable parcels, including some non-taxable parcels, specifically within the city limits of Carlsbad. The data, sourced from SanGIS, contains parcels as shown on the Assessor Parcel Map (APM). It's important to note that parcels shown in this layer may lag behind the official APM by a number of weeks due to the timing of SanGIS being notified of newly created parcels and the publication schedule of the parcel layer. The City of Carlsbad GIS processes parcels monthly, adding another delay in the inclusion of newly created parcels.Point of Contact:For inquiries about land-use details and the implications of a property being within special zones/planning areas, overlay zones, including Coastal Zone, Redevelopment Zone, Beach Overlay Zone, Fire Zone, and Visitor Zone.City of Carlsbad Planning Division1635 Faraday AvenueCarlsbad, California 92008442-339-2610For the latest and most specific tax parcel information represented by parcel polygons, please refer to the SanGIS website or consult the San Diego County Assessor/Recorder/County Clerk (ARCC).SanGIS5510 Overland Avenue, Suite 230San Diego, California 92123858-874-7000

  • Digital Geologic-GIS Map of Santa Rosa Island, California (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 25, 2025
    + more versions
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    National Park Service (2025). Digital Geologic-GIS Map of Santa Rosa Island, California (NPS, GRD, GRI, CHIS, SRIS digital map) adapted from a American Association of Petroleum Geologists Field Trip Guidebook map by Sonneman, as modified and extend by Weaver, Doerner, Avila and others (1969) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-santa-rosa-island-california-nps-grd-gri-chis-sris-digital-map
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Santa Rosa Island, California
    Description

    The Digital Geologic-GIS Map of Santa Rosa Island, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sris_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sris_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sris_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sris_geology_metadata_faq.pdf). Please read the chis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sris_geology_metadata.txt or sris_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  • W

    FRAP - Public Lands Ownership

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    csv, esri rest +4
    Updated Jul 18, 2019
    + more versions
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    CA Governor's Office of Emergency Services (2019). FRAP - Public Lands Ownership [Dataset]. https://wifire-data.sdsc.edu/dataset/frap-public-lands-ownership
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    geojson, kml, zip, esri rest, csv, htmlAvailable download formats
    Dataset updated
    Jul 18, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

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

    Description

    This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

    1) snapping federal data sources to parcels;
    2) clipping to the FRA footprint;
    3) overlaying the federal data sources and using a hierarchy when sources overlap to resolve coding issues (BIA, UFW, NPS, USF, BLM, DOD, ACE, BOR);
    4) utilizing an automated process to merge “unknown” FRA slivers with appropriate adjacent ownerships;
    5) a manual review of FRA areas not assigned a federal agency by this process.

    Non-Federal ownership information was obtained from the California Protected Areas Database (CPAD), was clipped to the non-FRA area, and an automated process was used to fill in some sliver-gaps that occurred between the federal and non-federal data. Southeastern Desert Area: CAL FIRE does not devote the same level of resources for maintaining SRA data in this region of the state, since we have no fire protection responsibility. This includes almost all of Imperial County, and the desert portions of Riverside, and San Bernardino Counties. In these areas, we used federal protection areas from the current version of the Direct Protection Areas (DPA) dataset. Due to the fact that there were draw-issues with the previous version of ownership, this version does NOT fill in the areas that are not assigned to one of the owner groups (it does not cover all lands in the state). Also unlike previous versions of the dataset, this version only defines ownership down to the agency level - it does not contain more specific property information (for example, which National Forest). The option for a more detailed future release remains, however, and due to the use of automated tools, could always be created without much additional effort.This dataset includes a representation to symbolize based on the Own_Group field using the standard color scheme utilized on DPA maps.For more details about data inputs, see the Lineage section of the metadata. For detailed notes on previous versions, see the Supplemental Information section of the metadata.

    This ownership dataset is derived from CAL FIRE's SRA dataset, and GreenInfo Network's California Protected Areas Database. CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsiblity Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Inidan Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data. Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset. Areas without an ownership feature are ASSUMED to be private (but not included in the dataset as such).

    This service represents the latest release of the dataset by FRAP, and is updated twice a year when new versions are released.

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    County of Los Angeles (2020). California Statewide Parcel Boundaries [Dataset]. https://hub.arcgis.com/documents/baaf8251bfb94d3984fb58cb5fd93258

    California Statewide Parcel Boundaries

    Explore at:
    2 scholarly articles cite this dataset (View in Google Scholar)
    Dataset updated
    Jul 9, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    California
    Description

    This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

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