29 datasets found
  1. a

    California Statewide Parcel Boundaries

    • hub.arcgis.com
    • geohub.lacity.org
    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. San Bernardino 2025 Roll Year

    • cdtfa.hub.arcgis.com
    • gis.data.ca.gov
    Updated Jun 9, 2025
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    California Department of Tax and Fee Administration (2025). San Bernardino 2025 Roll Year [Dataset]. https://cdtfa.hub.arcgis.com/maps/f1c63792fed74a5cb13e98df1c4ab1f5
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  3. c

    BOE TRA 2023 co36

    • gis.data.ca.gov
    • gis-california.opendata.arcgis.com
    • +1more
    Updated May 22, 2023
    + more versions
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    California Department of Tax and Fee Administration (2023). BOE TRA 2023 co36 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::san-bernardino-2023-roll-year?layer=1
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    Dataset updated
    May 22, 2023
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in San Bernardino County for the specified assessment roll year. Boundary alignment is based on the 2010 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  4. FRAP - Public Lands Ownership

    • wifire-data.sdsc.edu
    • gis-calema.opendata.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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    zip, geojson, esri rest, html, kml, csvAvailable download formats
    Dataset updated
    Jul 18, 2019
    Dataset provided by
    California 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.

  5. d

    Geologic Map of the East of Grotto Hills Quadrangle, California: A Digital...

    • search.dataone.org
    • data.doi.gov
    Updated Oct 29, 2016
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    Jane E. Nielson; David R. Bedford (2016). Geologic Map of the East of Grotto Hills Quadrangle, California: A Digital Database [Dataset]. https://search.dataone.org/view/2ca59e67-862c-470a-b1c8-5aac4829748e
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Jane E. Nielson; David R. Bedford
    Area covered
    Variables measured
    DIP, LTYPE, PTYPE, PTTYPE, SAMPNO, STRIKE
    Description

    This digital map database represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (egh_geo.txt, egh_geo.pdf or egh_geo.ps), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.

  6. a

    City of San Bernardino, CA Opportunity Site

    • hlplanning.hub.arcgis.com
    Updated Oct 2, 2021
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    Houseal Lavigne (2021). City of San Bernardino, CA Opportunity Site [Dataset]. https://hlplanning.hub.arcgis.com/maps/44a0c47a2b59482bb223e62393bed667
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    Dataset updated
    Oct 2, 2021
    Dataset authored and provided by
    Houseal Lavigne
    Area covered
    Description

    The City of San Bernardino, CA Opportunity Site is a Web Map used in SBCTA analysis. It includes 3 distinct layers.

  7. a

    Thomas Guide San Bernardino County

    • mapriverside-opendata-cityofriverside.hub.arcgis.com
    • hub.arcgis.com
    Updated Apr 4, 2023
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    City of Riverside, CA (2023). Thomas Guide San Bernardino County [Dataset]. https://mapriverside-opendata-cityofriverside.hub.arcgis.com/datasets/thomas-guide-san-bernardino-county
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    Dataset updated
    Apr 4, 2023
    Dataset authored and provided by
    City of Riverside, CA
    License

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

    Area covered
    Description

    City of Riverside Open Data for use in the city.

  8. c

    BOE TRA 2024 co36

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated May 31, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co36 [Dataset]. https://gis.data.ca.gov/datasets/c7adff1ce995405aacd0351755613c88
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    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in San Bernardino County for the specified assessment roll year. Boundary alignment is based on the 2010 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  9. San Bernardino 2021 Roll Year

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis.data.ca.gov
    Updated May 7, 2021
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    California Department of Tax and Fee Administration (2021). San Bernardino 2021 Roll Year [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/c1b941cf4f3b44f39bb17e212f0d93ff
    Explore at:
    Dataset updated
    May 7, 2021
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  10. C

    Vegetation - Mojave Desert for DRECP - Final [ds735]

    • data.cnra.ca.gov
    • data.ca.gov
    • +5more
    Updated Apr 30, 2024
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    California Department of Fish and Wildlife (2024). Vegetation - Mojave Desert for DRECP - Final [ds735] [Dataset]. https://data.cnra.ca.gov/dataset/vegetation-mojave-desert-for-drecp-final-ds735
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    arcgis geoservices rest api, geojson, zip, kml, csv, htmlAvailable download formats
    Dataset updated
    Apr 30, 2024
    Dataset provided by
    Debbie Johnson, Aerial Information Systems, Inc., General Manager
    Authors
    California Department of Fish and Wildlife
    License

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

    Area covered
    Mojave Desert
    Description

    Aerial Information Systems (AIS) and the California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) with assistance from the California Native Plant Society (CNPS) created a fine-scale vegetation map of portions of the Mojave and Colorado Deserts in California. Approximately six million acres spanning desert portions of Inyo, Kern, Los Angeles, San Bernardino, Riverside, and Imperial Counties were mapped between 2011 and 2012. In addition, mapping of 95,981acres within a portion of Rice and Vidal Valleys in the Colorado Desert portion of the Sonoran Desert was completed by AIS in 2013‐2014. The maps were primarily produced to support the Desert Renewable Energy Conservation Plan (DRECP) by helping planners more accurately identify high quality habitat and rare communities as they consider renewable energy sources and conservation opportunities. Previous vegetation maps of the area were either large scale and generalized or they were detailed but covered a limited extent. Between 2014 and 2016, as an extension to supplement those mapping efforts, AIS was tasked to create a fine‐scale vegetation map of 2,195,415 acres of desert in Inyo, San Bernardino, Riverside, and Imperial Counties in southern California. Areas mapped include the eastern and central portions of the Mojave Desert as well as the Lower Colorado Valley, also referred to as the Colorado Desert, and the Arizona Upland subdivisions of the Sonoran Desert. The U.S. Bureau of Land Management (BLM) contracted Aerial Information Systems, Inc. (AIS) to continue vegetation classification development and fine-scale vegetation mapping of 1,016,668 acres over four subareas within Inyo, Kern, and Imperial counties of the Desert Renewable Energy Conservation Plan (DRECP) region. The four subareas are designated as Salton Sea South (224,763 acres), Jawbone South (204,133 acres), Owens Valley (392,906 acres), and Picacho (194,866 acres).

    The vegetation classification follows Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on previous survey and classification work. The map was produced applying heads-up digitizing techniques using a base of true-color and color infrared 2010, 2014, 2016 or 2018 one-meter National Agricultural Imagery Program (NAIP) imagery in conjunction with ancillary data and imagery sources. Map polygons were assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 10 acres; exceptions are made for wetlands and certain wash types (which were mapped to a one or five acre MMU) and areas characterized as Land Use polygons (which were mapped to a 2.5 acre MMU). Field reconnaissance and accuracy assessment enhanced map quality. A total of 85,985 map polygons representing 180 vegetation map classes were developed. For detailed information please refer to the following reports:

    Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA.

    Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA.

    Menke, J., E. Reyes, A. Hepburn, D. Johnson, and J. Reyes. 2016. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan (2014-2016 Additions). Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA.

    Reyes, E., J. Evens, A. Glass, K. Sikes, T. Keeler-Wolf, S. Winitsky, D. Johnson, J. Menke, and A. Hepburn. 2020. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan, Contract L17PD01212. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA.

    Reyes, E., A. Glass, J. Menke, J. Evens, K. Sikes, T. Keeler-Wolf, D. Johnson, S. Winitsky, and A. Hepburn. 2021. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan, Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA.

    Reyes, E., J. Evens, J. Fulton, A. Glass, K. Sikes, T. Keeler-Wolf, D. Johnson, S. Vu, and A. Hepburn. 2023. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan (2023), Contract 140L1218F0102. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA.

  11. San Bernardino 2024 Roll Year

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 31, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). San Bernardino 2024 Roll Year [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/c7adff1ce995405aacd0351755613c88
    Explore at:
    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  12. a

    C36 2024

    • cdtfa.hub.arcgis.com
    • gis.data.ca.gov
    Updated May 31, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). C36 2024 [Dataset]. https://cdtfa.hub.arcgis.com/datasets/CDTFA::san-bernardino-2024-roll-year?layer=2
    Explore at:
    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  13. a

    Smarter Balanced Report 2018 - San Bernardino County

    • ed-data-sbcss.opendata.arcgis.com
    Updated Mar 12, 2020
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    San Bernardino County Superintendent of Schools (2020). Smarter Balanced Report 2018 - San Bernardino County [Dataset]. https://ed-data-sbcss.opendata.arcgis.com/datasets/smarter-balanced-report-2018-san-bernardino-county
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    Dataset updated
    Mar 12, 2020
    Dataset authored and provided by
    San Bernardino County Superintendent of Schools
    Area covered
    San Bernardino County
    Description

    San Bernardino County Smarter Balanced PDF Report: Created from the 17-18 Public Smarter Balanced Research File to provide an overview of the county's performance.

    The Smarter Balanced Summative Assessments for English Language Arts/Literacy (ELA) and Mathematics are part of CAASPP, the statewide system of assessments. The summative assessments measures student knowledge and skills, as well as, assess how much students have improved since the previous year (student growth) based on Common Core State Standards (CCSS) for English language arts/literacy (ELA) and mathematics, which were adopted in 2010. The summative assessments are administered to all eligible students in grades three through eight and eleven. The Smarter Balanced Assessments are computer-adaptive tests that adjust the difficulty of questions on the basis of the answers students give.

    In order to protect student confidentiality, no scores are reported (or included in the research files) for any group of 10 or fewer students.

    Source: California Department of Education, CAASPP Research Files, San Bernardino County https://caaspp-elpac.cde.ca.gov/caaspp

  14. a

    California State Senate 2021

    • arcgis.com
    Updated Feb 16, 2022
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    County of San Bernardino (2022). California State Senate 2021 [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=facebook&oauth_state=a0g4dTFi-6JlSbsgGl2lCAA..VGg6aDvoe1C6hYB2ibnV8xE5uAuKXiNGvvkM_0ENinWGgndIybdZGoR0yNbegxYsKkKang1l2KYqGZyI8uqqlXpmr6Sb4gs_V4_3EKtuzL1nz7DS0Znoq0OCcZ_xnptTe7oCtIuzxEuQAxnGC0IOb9QNsfqJn7zqkO_gEuBNiNSTqV6C73nMCc2ihaihftHuPF1L_C0zWmZAEiP75habP87D7_WDhwT09xeIhb1Or1S3Vdd_dRSnb8SDnGSm28UwiZ0M3G8OADooUYftnOaxO1Lm8d6ggo-hg0u96RBP7fcYYZE08wqYu4mY7ExaQKnHcclP5w4J9YLup3Z0-M-_MAZ63CW0w_w5iQx97R_wELNCRdZGIbT3
    Explore at:
    Dataset updated
    Feb 16, 2022
    Dataset authored and provided by
    County of San Bernardino
    Area covered
    Description

    California State Senate Final as of 12/20/2021.Data acquired from WedrawTheLine.Ca.Gov.

  15. Vegetation - Upper Santa Ana River Wash - SBWCD [ds3212]

    • data-cdfw.opendata.arcgis.com
    • data.cnra.ca.gov
    • +3more
    Updated Jun 2, 2025
    + more versions
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    California Department of Fish and Wildlife (2025). Vegetation - Upper Santa Ana River Wash - SBWCD [ds3212] [Dataset]. https://data-cdfw.opendata.arcgis.com/datasets/CDFW::vegetation-upper-santa-ana-river-wash-sbwcd-ds3212
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Description

    The San Bernardino Valley Water Conservation District (SBVWCD) contracted AECOM to produce an association-level vegetation classification and map of lands owned and/or managed by the District in the Upper Santa Ana River Wash. The classification is consistent with the Manual of California Vegetation (MCV) (CNPS 2018), and vegetation sampling methods followed National Park Service (NPS) Vegetation Index protocols. The mapping study area consists of approximately 2,200-acres near Mentone, in San Bernardino, California. Approximately 1,500-acres lie within the Preserve set aside for the Upper Santa Ana River Wash Habitat Conservation Plan. The primary purpose of this project was to provide the District a consistent system for the mapping of vegetation on its lands. Vegetation mapping is conducted periodically by the District to inform various environmental and species management initiatives.All plot data collection took place May 2-5, 2025. Four-band (RGB and color NIR) aerial imagery was collected May 4, 2022. All image acquisition, processing, and ortho-rectification were conducted by GeoTerra, Inc. Polygons were drawn using a minimum mapping unit (MMU) of 0.5 acre, and vegetation attributes assigned using the vegetation key provided in the newly created classification. Field reconnaissance was conducted by the photo-interpreter during the earliest stages of mapping to establish photo-signature recognition for each alliance and association. There were a total of 21 mapping classes. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3212.zip

  16. BOE Changes 2023 co36

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • cdtfa.hub.arcgis.com
    Updated May 22, 2023
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    California Department of Tax and Fee Administration (2023). BOE Changes 2023 co36 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/CDTFA::san-bernardino-2023-roll-year/about?layer=0
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    Dataset updated
    May 22, 2023
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    This shapefile contains polygons representing areas that had a change to the tax rate area number or boundary according to Statement of Boundary Changes filed with the California State Board of Equalization, per Government Code 54900. The change number refers to the Statement of Boundary Change documents on file with the California State Board of Equalization-Tax Area Services Section. CHG_NO = Board of Equalization (BOE) file number

  17. a

    Smarter Balanced Report 2017 - San Bernardino County

    • ed-data-sbcss.opendata.arcgis.com
    Updated Mar 12, 2020
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    San Bernardino County Superintendent of Schools (2020). Smarter Balanced Report 2017 - San Bernardino County [Dataset]. https://ed-data-sbcss.opendata.arcgis.com/documents/4798ede9378c4ba5bfdc0d2f3cc575d3
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    Dataset updated
    Mar 12, 2020
    Dataset authored and provided by
    San Bernardino County Superintendent of Schools
    Area covered
    San Bernardino County
    Description

    San Bernardino County Smarter Balanced PDF Report: Created from the 16-17 Public Smarter Balanced Research File to provide an overview of the county's performance.

    The Smarter Balanced Summative Assessments for English Language Arts/Literacy (ELA) and Mathematics are part of CAASPP, the statewide system of assessments. The summative assessments measures student knowledge and skills, as well as, assess how much students have improved since the previous year (student growth) based on Common Core State Standards (CCSS) for English language arts/literacy (ELA) and mathematics, which were adopted in 2010. The summative assessments are administered to all eligible students in grades three through eight and eleven. The Smarter Balanced Assessments are computer-adaptive tests that adjust the difficulty of questions on the basis of the answers students give.

    In order to protect student confidentiality, no scores are reported (or included in the research files) for any group of 10 or fewer students.

    Source: California Department of Education, CAASPP Research Files, San Bernardino County https://caaspp-elpac.cde.ca.gov/caaspp

  18. a

    California Congressional Districts 2021

    • hub.arcgis.com
    • open.sbcounty.gov
    Updated Feb 17, 2022
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    County of San Bernardino (2022). California Congressional Districts 2021 [Dataset]. https://hub.arcgis.com/maps/sbcounty::california-congressional-districts-2021
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    Dataset updated
    Feb 17, 2022
    Dataset authored and provided by
    County of San Bernardino
    Area covered
    Description

    California Congressional Districts Final as of 12/20/2021.

  19. a

    BOE Changes 2024 co36

    • hub.arcgis.com
    • gis.data.ca.gov
    Updated May 31, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). BOE Changes 2024 co36 [Dataset]. https://hub.arcgis.com/datasets/CDTFA::san-bernardino-2024-roll-year?layer=0
    Explore at:
    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains polygons representing areas that had a change to the tax rate area number or boundary according to Statement of Boundary Changes filed with the California State Board of Equalization, per Government Code 54900. The change number refers to the Statement of Boundary Change documents on file with the California State Board of Equalization-Tax Area Services Section. CHG_NO = Board of Equalization (BOE) file number

  20. Data from: Annual Average Daily Traffic

    • gisdata-caltrans.opendata.arcgis.com
    • data.ca.gov
    • +1more
    Updated Sep 30, 2024
    + more versions
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    California_Department_of_Transportation (2024). Annual Average Daily Traffic [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/d8833219913c44358f2a9a71bda57f76
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Caltranshttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    Area covered
    Description

    Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page

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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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