53 datasets found
  1. California City Boundaries and Identifiers

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

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

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

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

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

    Related Layers

    This dataset is part of a grouping of many datasets:

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

    Point of Contact

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

    Field and Abbreviation Definitions

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

    Boundary Accuracy
    County boundaries were originally

  2. California Incorporated Cities

    • data.cnra.ca.gov
    • data.ca.gov
    • +4more
    Updated Nov 26, 2024
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    California Department of Forestry and Fire Protection (2024). California Incorporated Cities [Dataset]. https://data.cnra.ca.gov/dataset/california-incorporated-cities
    Explore at:
    zip, arcgis geoservices rest api, kml, geojson, html, csvAvailable download formats
    Dataset updated
    Nov 26, 2024
    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
    Complete accounting of all incorporated cities, including the boundary and name of each individual city. From 2009 to 2022 CAL FIRE maintained this dataset by processing and digitally capturing annexations sent by the state Board of Equalization (BOE). In 2022 CAL FIRE began sourcing data directly from BOE, in order to allow the authoritative department provide data directly. This data is then adjusted so it resembles the previous formats.

    Processing includes:
    • Clipping the dataset to traditional state boundaries
    • Erasing areas that span the Bay Area (derived from calw221.gdb)
    • Querying for incorporated areas only
    • Dissolving each incorporated polygon into a single feature
    • Calculating the COUNTY field to remove the word 'County'

    Version 24_1 is based on BOE_CityCounty_20240315, and includes all annexations present in BOE_CityAnx2023_20240315. Note: The Board of Equalization represents incorporated city boundaries as extending significantly into waterways, including beyond coastal boundaries. To see the representation in its original form please reference the datasets listed above.

    Note: The Board of Equalization represents incorporated city boundaries is extending significantly into waterways, including beyond coastal boundaries. To see the representation in its original form please reference the datasets listed above.
  3. CA Geographic Boundaries

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

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

  4. d

    California Overlapping Cities and Counties and Identifiers with Coastal...

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Oct 23, 2025
    + more versions
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    California Department of Technology (2025). California Overlapping Cities and Counties and Identifiers with Coastal Buffers [Dataset]. https://catalog.data.gov/dataset/california-overlapping-cities-and-counties-and-identifiers-with-coastal-buffers
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    Dataset updated
    Oct 23, 2025
    Dataset provided by
    California Department of Technology
    Area covered
    California
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:Metadata is missing or incomplete for some layers at this time and will be continuously improved.We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.PurposeCounty and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, the coastline is used to separate coastal buffers from the land-based portions of jurisdictions. This feature layer is for public use.Related LayersThis dataset is part of a grouping of many datasets:Cities: Only the city boundaries and attributes, without any unincorporated areasWith Coastal BuffersWithout Coastal BuffersCounties: Full county boundaries and attributes, including all cities within as a single polygonWith Coastal BuffersWithout Coastal BuffersCities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.With Coastal Buffers (this dataset)Without Coastal BuffersPlace AbbreviationsUnincorporated Areas (Coming Soon)Census Designated Places (Coming Soon)Cartographic CoastlinePolygonLine source (Coming Soon)Working with Coastal BuffersThe dataset you are currently viewing includes the coastal buffers for cities and counties that have them in the authoritative source data from CDTFA. In the versions where they are included, they remain as a second polygon on cities or counties that have them, with all the same identifiers, and a value in the COASTAL field indicating if it"s an ocean or a bay buffer. If you wish to have a single polygon per jurisdiction that includes the coastal buffers, you can run a Dissolve on the version that has the coastal buffers on all the fields except COASTAL, Area_SqMi, Shape_Area, and Shape_Length to get a version with the correct identifiers.Point of ContactCalifornia Department of Technology, Office of Digital Services, odsdataservices@state.ca.govField and Abbreviation DefinitionsCOPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering systemPlace Name: CDTFA incorporated (city) or county nameCounty: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information SystemGNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information SystemPlace Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area namesCNTY Abbr: CalTrans Division of Local Assistance abbreviations of county namesArea_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.AccuracyCDTFA"s source data notes the following about accuracy:City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the California State Board of Equalization"s 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).Boundary ProcessingThese data make a structural change from the source data. While the full boundaries provided by CDTFA include coastal buffers of varying sizes, many users need boundaries to end at the shoreline of the ocean or a bay. As a result, after examining existing city and county boundary layers, these datasets provide a coastline cut generally along the ocean facing coastline. For county boundaries in northern California, the cut runs near the Golden Gate Bridge, while for cities, we cut along the bay shoreline and into the edge of the Delta at the boundaries of Solano, Contra Costa, and Sacramento counties.In the services linked above, the versions that include the coastal buffers contain them as a second (or third) polygon for the city or county, with the value in the COASTAL field set to whether it"s a bay or ocean polygon. These can be processed back into a single polygon by dissolving on all the fields you wish to keep, since the attributes, other than the COASTAL field and geometry attributes (like areas) remain the same between the polygons for this purpose.SliversIn cases where a city or county"s boundary ends near a coastline, our coastline data may cross back and forth many times while roughly paralleling the jurisdiction"s boundary, resulting in many polygon slivers. We post-process the data to remove these slivers using a city/county boundary priority algorithm. That is, when the data run parallel to each other, we discard the coastline cut and keep the CDTFA-provided boundary, even if it extends into the ocean a small amount. This processing supports consistent boundaries for Fort Bragg, Point Arena, San Francisco, Pacifica, Half Moon Bay, and Capitola, in addition to others. More information on this algorithm will be provided soon.Coastline CaveatsSome cities have buffers extending into water bodies that we do not cut at the shoreline. These include South Lake Tahoe and Folsom, which extend into neighboring lakes, and San Diego and surrounding cities that extend into San Diego Bay, which our shoreline encloses. If you have feedback on the exclusion of these items, or others, from the shoreline cuts, please reach out using the contact information above.Offline UseThis service is fully enabled for sync and export using Esri Field Maps or other similar tools. Importantly, the GlobalID field exists only to support that use case and should not be used for any other purpose (see note in field descriptions).Updates and Date of ProcessingConcurrent with CDTFA updates, approximately every two weeks, Last Processed: 12/17/2024 by Nick Santos using code path at https://github.com/CDT-ODS-DevSecOps/cdt-ods-gis-city-county/ at commit 0bf269d24464c14c9cf4f7dea876aa562984db63. It incorporates updates from CDTFA as of 12/12/2024. Future updates will include improvements to metadata and update frequency.

  5. California Overlapping Cities and Counties and Identifiers

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Feb 20, 2025
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    California Department of Technology (2025). California Overlapping Cities and Counties and Identifiers [Dataset]. https://data.ca.gov/dataset/california-overlapping-cities-and-counties-and-identifiers
    Explore at:
    txt, arcgis geoservices rest api, kml, xlsx, gpkg, html, zip, gdb, geojson, csvAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California
    Description

    WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:

    • Metadata is missing or incomplete for some layers at this time and will be continuously improved.
    • We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.
    This dataset is continuously updated as the source data from CDTFA is updated, as often as many times a month. If you require unchanging point-in-time data, export a copy for your own use rather than using the service directly in your applications.

    Purpose

    County and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, coastal buffers are removed, leaving the land-based portions of jurisdictions. This feature layer is for public use.

    Related Layers

    This dataset is part of a grouping of many datasets:

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

    Point of Contact

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

    Field and Abbreviation Definitions

    • COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system
    • Place Name: CDTFA incorporated (city) or county name
    • County: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
    • Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
    • GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
    • GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information System
    • Place Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area names
    • CNTY Abbr: CalTrans Division of Local Assistance abbreviations of county names
    • Area_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
    • COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
    • GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

    Accuracy

    CDTFA"s source data notes the following about accuracy:

    City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI =

  6. s

    Map of The City Of San Francisco, California. Copied From Originals with...

    • searchworks.stanford.edu
    zip
    Updated May 19, 2021
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    (2021). Map of The City Of San Francisco, California. Copied From Originals with Corrections and Additions. 1850. View of San Francisco in 1849. The Large Vessel At The Wharf is The "Apollo Store Ship. (Raster Image) [Dataset]. https://searchworks.stanford.edu/view/pn124cp0101
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 19, 2021
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    San Francisco, California
    Description

    This layer is a georeferenced image of one of the earliest maps of San Francisco, published just after the Eddy map of 1849. Not listed in Wheat, Peters, Heckrotte (unpublished list), auction records, or other authorities. Perhaps a unique survivor. Shows all streets, Agnew's Steamboat Landing, Central Wharf, and the Apollo Store Ship. Scale given in Mexican Varas. With an inset view of the city in 1849. Elevations of the hills and coastal cliffs are show with hachures. Harry J. Peters says of the Apollo Store Ship: It "was sent around the Horn from New York in 1849 to San Francisco. There it was beached & converted to a store & warehouse. This was often the fate of many ships in those days when whole crews would often desert ship & rush to the gold fields. It was also profitable to the owners to beach a vessel & turn it to just such uses as the Apollo, for San Francisco was largely a city of tents with few buildings either for homes or storage for the thousands of newcomers." The map was published by the Sun Lithographic Establishment, located next to the offices of the Sun newspaper in New York and probably affiliated with the newspaper.

  7. California State Assembly Districts Map 2020

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 24, 2025
    + more versions
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    California Citizens Redistricting Commission (2025). California State Assembly Districts Map 2020 [Dataset]. https://catalog.data.gov/dataset/california-state-assembly-districts-map-2020
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Citizens Redistricting Commission
    Area covered
    California
    Description

    Final approved map by the 2020 California Citizens Redistricting Commission for the California State Assembly; the authoritative and official delineations of the California State Assembly drawn during the 2020 redistricting cycle. The Citizens Redistricting Commission for the State of California has created statewide district maps for the State Assembly, State Senate, State Board of Equalization, and United States Congress in accordance, with the provisions of Article XXI of the California Constitution. The Commission has approved the final maps and certified them to the Secretary of State.Line drawing criteria included population equality as required by the U.S. Constitution, the Federal Voting Rights Act, geographic contiguity, geographic integrity, geographic compactness, and nesting. Geography was defined by U.S. Census Block geometry.80 Assembly districts have an ideal population of around 500,000 people each, and in consideration of population equality, the Commission chose to limit the population deviation range to as close to zero percent as practicable. With these districts, the Commission was able to respect many local communities of interest and group similar communities; however, it was more difficult to keep densely populated counties, cities, neighborhoods, and larger communities of interest whole due to the district size and correspondingly smaller number allowable in the population deviation percentage.

  8. California US Congressional Districts Map 2020

    • catalog.data.gov
    • data.ca.gov
    Updated Jul 24, 2025
    + more versions
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    California Citizens Redistricting Commission (2025). California US Congressional Districts Map 2020 [Dataset]. https://catalog.data.gov/dataset/california-us-congressional-districts-map-2020
    Explore at:
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Citizens Redistricting Commission
    Area covered
    United States, California
    Description

    Final approved map by the 2020 California Citizens Redistricting Commission for California's United States Congressional Districts; the authoritative and official delineations of California's United States Congressional Districts drawn during the 2020 redistricting cycle. The Citizens Redistricting Commission for the State of California has created statewide district maps for the State Assembly, State Senate, State Board of Equalization, and United States Congress in accordance, with the provisions of Article XXI of the California Constitution. The Commission has approved the final maps and certified them to the Secretary of State.Line drawing criteria included population equality as required by the U.S. Constitution, the Federal Voting Rights Act, geographic contiguity, geographic integrity, geographic compactness, and nesting. Geography was defined by U.S. Census Block geometry.Each of the 52 Congressional districts apportioned to California have an ideal population of 760,066, and the Commission adhered to federal constitutional mandates by requiring a district population deviation of no more than +/- one person. These districts also posed some of the Commission’s biggest challenges, and, because of strict population equality requirements, resulted in many more splits of counties, cities, neighborhoods, and communities of interest compared to State Assembly or Senate plans.

  9. Esri Campus, California

    • esrinederland.hub.arcgis.com
    Updated Feb 10, 2017
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    Esri Nederland (2017). Esri Campus, California [Dataset]. https://esrinederland.hub.arcgis.com/maps/43dd5c42b0374bbf9921911418ffc1df
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    Dataset updated
    Feb 10, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Nederland
    Area covered
    Description

    This map presents a tour of the City of Redlands, California using the detailed map of Redlands included in the community basemap. The City of Redlands is located in Southern California, about 65 miles east of Los Angeles. The map tour highlights some of the unique features in the history of Redlands as well as several of the places and events that make it a very livable community today.The map features a detailed basemap for the City of Redlands, California, including buildings, parcels, vegetation, land use, landmarks, streets, and more. The map features special detail for areas of high interest within the City, including local parks, landmarks, and the ESRI campus.The map references detailed GIS data provided by the City of Redlands, Department of Innovation and Technology, GIS Division. The map was authored using map templates available from ESRI, including:Topographic Map Template - Large ScalesCampus Basemap TemplateThe map was published as part of ESRI's Community Maps Program and is one of several detailed maps of cities and counties in the World Topographic Map.

  10. g

    California State Assembly Districts Map 2020 | gimi9.com

    • gimi9.com
    Updated Mar 6, 2023
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    (2023). California State Assembly Districts Map 2020 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_california-state-assembly-districts-map-2020/
    Explore at:
    Dataset updated
    Mar 6, 2023
    Area covered
    California
    Description

    80 Assembly districts have an ideal population of around 500,000 people each, and in consideration of population equality, the Commission chose to limit the population deviation range to as close to zero percent as practicable. With these districts, the Commission was able to respect many local communities of interest and group similar communities; however, it was more difficult to keep densely populated counties, cities, neighborhoods, and larger communities of interest whole due to the district size and correspondingly smaller number allowable in the population deviation percentage.

  11. G

    Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Regina

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    cdr, gif, html, pdf
    Updated Feb 22, 2022
    + more versions
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    Natural Resources Canada (2022). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Regina [Dataset]. https://open.canada.ca/data/en/dataset/bd8378f2-14ed-5719-9b03-00978b33fa6e
    Explore at:
    cdr, gif, html, pdfAvailable download formats
    Dataset updated
    Feb 22, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Regina, Canada
    Description

    The map title is Regina. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Regina downtown detail is coded with type and Braille expanded on legends in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Railroad. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  12. California State Responsibility Areas

    • catalog.data.gov
    • data.ca.gov
    • +7more
    Updated Jul 23, 2025
    + more versions
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    CAL FIRE (2025). California State Responsibility Areas [Dataset]. https://catalog.data.gov/dataset/california-state-responsibility-areas-7cae5
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    California
    Description

    CAL FIRE has a legal responsibility to provide fire protection on all State Responsibility Area (SRA) lands, which are defined based on land ownership, population density and land use. For example, CAL FIRE does not have responsibility for densely populated areas, incorporated cities, agricultural lands, or lands administered by the federal government. The SRA dataset provides areas of legal responsibility for fire protection, including State Responsibility Areas (SRA), Federal Responsibility Areas (FRA), and Local Responsibility Areas (LRA). SRA designations undergo a thorough 5 year review cycle, as well as annual updates for incorporations/annexations, error fixes, and ownership changes (automatic changes that do not require Board of Forestry approval). This service represents the latest official version, and is updated when new versions are released. As of November 15th, 2024, this represents SRA 25_1. Changes from SRA24_1 include those resulting from acquisitions and disposals of federal lands transmitted through the yearly California Wildfire Coordinating Group (CWCG) Direct Protection Area (DPA) agreement process, from city annexations and de-annexations, from changes in county parcel boundaries, as well as corrections to any data errors discovered during the editing process.

  13. D

    Zoning Map - Zoning Districts

    • data.sfgov.org
    • data.amerigeoss.org
    • +1more
    Updated Feb 23, 2024
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    (2024). Zoning Map - Zoning Districts [Dataset]. https://data.sfgov.org/w/xzez-p3nc/ikek-yizv?cur=XAHcZxMqCAW&from=8H8MrQNtyV5
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    application/geo+json, kmz, kml, xml, xlsx, csvAvailable download formats
    Dataset updated
    Feb 23, 2024
    Description

    Zoning Districts City and County of San Francisco Planning Department. The Zoning Districts are the main component of the Zoning Map. The Zoning Map comprises: - Zoning Districts - Height and Bulk Districts - Special Use Districts - Preservation Districts - Coastal Zone Area - Special Sign Districts The official Zoning Map can be found in the San Francisco Planning Code: http://library.municode.com/index.aspx?clientId=14145&stateId=5&stateName=California (click on the links under ZONING MAPS on the left navigation column). Summaries of the Zoning District codes can be found here: http://www.sf-planning.org/index.aspx?page=1580 Section 105 of the Planning Code states: "The designations, locations and boundaries of the districts established by this Code shall be shown upon the "Zoning Map of the City and County of San Francisco," which shall consist of a series of numbered sectional maps. Wherever any uncertainty exists as to the boundary of any district as shown on said sectional maps, the following rules shall apply: (a) Where boundary lines are indicated as following streets and alleys within the right-of-way, they shall be construed as following the centerlines of such streets and alleys; (b) Where boundary lines are indicated as approximately following lot lines, such lot lines shall be construed to be such boundaries; (c) Where a boundary line divides a lot or crosses unsubdivided property; the location of such boundary shall be as indicated upon the Zoning Map using the scale appearing on such map; (d) Where further uncertainty exists, the City Planning Commission upon written application, or on its own motion, shall by resolution determine the location of a disputed boundary giving due consideration to the apparent indicated location thereof and the scale of the Zoning Map and the express purposes of this Code; (e) Wherever any property is not under these rules specifically included in any use district shown on the Zoning Map, such property is hereby declared to be in an RH-1(D) District, except that all property owned on the effective date of this amendment by the United States of America, State of California, City and County of San Francisco, or other governmental agency and within the City and County of San Francisco but not within the area covered by Sectional Maps Nos. 1 through 13 of the Zoning Map is hereby declared to be in a P (Public Use) District unless reclassified in accordance with the provisions of this Code; (f) Wherever any property is not under these rules specifically included in any height and bulk district shown on the Zoning Map, such property is hereby declared to be in a 40-X height and bulk district, except that all property owned on the effective date of this amendment by the United States of America, State of California, City and County of San Francisco, or other governmental agency and within the City and County of San Francisco but not within the area covered by Sectional Maps Nos. 1H through 13H of the Zoning Map is hereby declared to be in an OS (Open Space) District unless reclassified in accordance with the provisions of this Code, with the exception of Yerba Buena Island and Treasure Island which are hereby declared to be in a 40-X height and bulk district."Updated quarterly.

  14. u

    Tactile Maps of Canada-Maps For Mobility-City Downtown...

    • data.urbandatacentre.ca
    • gimi9.com
    • +1more
    Updated Oct 19, 2025
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    (2025). Tactile Maps of Canada-Maps For Mobility-City Downtown Maps-Vancouver-Stanley [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-bdebfb01-19c3-5b37-a29a-de264b8d7e79
    Explore at:
    Dataset updated
    Oct 19, 2025
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada, Vancouver
    Description

    The map title is Vancouver-Stanley. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. The Stanley Park area, immediately northwest of downtown, is bordered on the east by Burrard Inlet and on the south by Coal Harbour. A wavy symbol indicates water. The points of interest in the Stanley Park area of Vancouver are labelled with type and Braille expanded in the PDF file. Main streets and secondary streets are labelled with type and Braille expanded in the PDF file. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  15. s

    Road Centerlines, Riverside County California, 2019

    • searchworks.stanford.edu
    zip
    Updated Jan 22, 2013
    + more versions
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    (2013). Road Centerlines, Riverside County California, 2019 [Dataset]. https://searchworks.stanford.edu/view/pg101vy5280
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    zipAvailable download formats
    Dataset updated
    Jan 22, 2013
    Area covered
    Riverside County, California
    Description

    This data set of line features represent Riverside County's recorded street centerlines.This data set was designed to carry out functions of the Transportation department and is not a true street network layer. Centerlines do not have complete "connectivity" due to the fact that this layer is primarily roads that have been recorded but does not necessarily contain all roads. OBJECTID - Internal feature number. STNAME - Recorded name of the centerline. TYPE - Used to classify roads, primarily by surface type. Description of the codes found in the attribute "TYPE" TYPE DESCRIPTION C01 Federal Aid Interstate C02 State Highways C03 F.A.U. Maintained C04 F.A.S. Maintained C05 Paved Surface Maintained C06 Paved Surface (Traveled) C07 Graveled Surface Maintained C08 Graveled Surface (Traveled) C09 Dirt Surface Maintained C10 Dirt Surface (Traveled) C11 Accepted For Public Use C12 Non-County/Accepted for P.U. C13 Non-County road C14 Vacated C15 Abandon C16 Maintained F.A.U./Non-County C17 Maintained F.A.S./Non-County C18 Maintained Paved/Accepted C19 Maintained Paved/Non-County C20 Maintained Paved/Vacated C21 Maintained Gravel/Accepted C22 Maintained Gravel/Non-County C23 Maintained Gravel/Vacated C24 Maintained Dirt/Accepted C25 Maintained Dirt/Non-County C26 Maintained Dirt/Vacated C27 Accepted/Vacated C28 Maintained Under Contract C29 City Road C30 Paved Maintained/Dirt Maintained C31 Dedicated and Accepted/CFD Maintained W01 Maintained for City W02 Maintained for City/Non-County W03 Maintained for City/Non-County (Reversed) W04 Maintained for City/Accepted W05 F.A.U. Maintained/Maintained for City W06 Dirt Surface Maintained/Maintained for City W07 Paved Surface Maintained/Maintained for City W08 Graveled Surface Maintained/Maintained for City Z01 Traffic Division Modeling Connectivity Use Only (The "W" series within the TYPE field were initially created for the City of Wildomar, but have had their application expanded to include any Centerline where the County maintains the road for a City - typically for a limited period after a City's incorporation. The "W" will continue as a convention to make it easy to distinguish such roads from roads normally maintained by the County, even though it is understood that the "W" will lose its initial association with the City of Wildomar over time.). GENPLANTYPE - General Plan Classification of the Road. Not corrected for the RCLIS 2003 updated at thsi time. Description of the codes found in the attribute "GENPLANTYPE" GENPLANTYPE SYMBOL DESCRIPTION 01 101 FREEWAY 02 201 EXPRESSWAY 03 301 URBAN ARTERIAL 04 304 URBAN ARTERIAL (PROPOSED) 05 401 ARTERIAL 06 404 ARTERIAL (PROPOSED) 07 501 MOUNTAIN ARTERIAL 08 504 MOUNTAIN ARTERIAL (PROPOSED) 09 13 MAJOR 10 16 MAJOR (PROPOSED) 11 21 SECONDARY 12 24 SECONDARY (PROPOSED) 13 801 SPECIFIC PLAN ROAD 14 804 SPECIFIC PLAN ROAD (PROPOSED) 15 25 SCENIC ROUTE 16 28 SCENIC ROUTE (PROPOSED) 17 0 COLLECTOR(PROPOSED) indicates that the road is part of the "General PLan Alignment" but does not currently exist as a legal centerline. This type of centerline will be stored in the CENTERLINEREF data set. DIRECTION - Represents the direction of traffic flow. Presently not supported. NAMEID - Numerical representation of the recorded street name. Unique STNAME and NAMEID values are tracked in the STNMS table. RDNUMBER - Used by the Transportation Department to identify county maintained roads. Used for accounting purposes. SEGNUMBER - Used in combination with the RDNUMBER to uniquely identify an individual centerline, segment, or length. No longer supported. FLAG - Indicates whether or not an arc will be used in a street network data set. Presently not used because there is no street network data set. L_F_ADD - The starting address for the left side of the street. L_T_ADD - The ending address for the left side of the street. R_F_ADD - The starting address for the right side of the street. R_T_ADD - The ending address for the right side of the street. PRE_DIR - The street direction prefix. Example: 'E' for east. STREET_NAME - The base legal street name of the centerline. Example: "MAIN". STREET_TYPE - The Street Name Type abbreviation. Example: 'ST' for street. Valid values for the STREET_TYPE field are: ' ' - ' ' (No Type is a space) AVE - AVENUE BLVD - BOULEVARD CIR - CIRCLE CT - COURT CV - COVE DR - DRIVE EXPY - EXPRESSWAY FWY - FREEWAY HWY - HIGHWAY LN - LANE LOOP - LOOP PATH - PATH PKWY - PARKWAY PL - PLACE PT - POINT RD - ROAD SQ - SQUARE ST- STREET TER - TERRACE TRL - TRAIL WALK - WALK WAY - WAY SUF_DIR - The street direction suffix. Example: "N' for north. TRACT - The tract map number in which the centerline can be found. MODIFIED - Modified Date CREATED - Created Date SOURCE_NOTES - References to legal documentation related to the Centerline found during research, including such things as recordation histroy, name change history, and acceptance for or termination of maintenance information, FULL_NAME - Name used to construct ROUTE_NAME field values. Used to detect changes in the STNAME value. AREA_PLAN_ABBREVIATION - Abbreviated Area Plan Name used to create ROUTE_NAME Valid values for AREA_PLAN_ABBREVIATION are: DESCN - Desert Center ECDES - East County/Desert ECVAP - Eastern Coachella Valley Plan ELSIN - Lake Elsinore EVALE - Eastvale HIGHG - Highgrove HVWIN - Harvest Valley/Winchester JURUP - Jurupa LAKEV - Lakeview/Nuevo LMATH - Lake Mathews MARCH - March MEADV - Mead Valley PASS - Pass Area PVERD - Palo Verde Valley RECHE - Reche Canyon REMAP - REMAP (Riverside Extended Mountain Area Plan) RIVER - Riverside/Corona/Norco SANJA - San Jacinto Valley SBCO - San Bernardino County SUNCI - Sun City/Menifee Valley SWAP - Southwest Area Plan TEMES - Temescal Valley WCVAP - Western Coachella Valley Area Plan SUBROUTE - Optional Identifier used to build ROUTE_NAME to separate branches or distiguish discontinuous portions of a street within an area plan that are unlikely to ever form a continuous route. ROUTE_NAME - Primary field used to construct a Linear Referencing derivative of the Centerlines layer. THis values is a component of ROUTE_ALT1 and ROUTE_ALT2 and is overriden by those fields when they have values. ROUTE_DIR1 - Used with ROUTE_NAME to build values for ROUTE_ALT1 when there is a value assigned. ROUTE_ALT1 - First Alternative ROUTE_NAME value. Typically used for one-way streets that are oriented Norh or East. ROUTE_DIR2 - Used with ROUTE_NAME to build values for ROUTE_ALT2 when there is a value assigned. ROUTE_ALT2 - Second Alternative ROUTE_NAME value. Typically used for one-way streets that are oriented Souh or West. BUILD_PRIORITY - Used to create Linear Referenced Routes. Sets the corner from which to build routes. Valuid values for BUILD_PRIORITY are: UL - Upper Left (Default) LL - Lower Left UR - Upper Right LR - Lower Right LINE_LINK - Geometric ID of Centerline arc. Made up of the From X/Y coordinate, the To X/Y coordinate and the Length. Used to detect geometric changes to an existing Centerline. CL_ID - Duplicate of OBJECTID. USed for detecting newly added segments to the network each week or to relate and join exported versions of CENTERLINES back to the original CENTERLINE feature class.FROM_X_COORDINATE, FROM_Y_COORDINATE, TO_X_COORDINATE and TO_Y_COORDINATE: The coordinate data for the end points of the line in numeric format.ROUTE_ORIENTED: Indicates if the line is drawn in the direction that corresponds to the Routes created based on the ROUTE_NAME fields.TRAVEL_DIRECTIONS: Indicates whether the road can be driven and in what directions. Values include "Both Ways", "From-To", "To-From" and "No Ways".CA_ROAD_SYSTEM_PAGE: The map page location of the California Roadway System (CRS) Maps containing the Centerline: See http://www.dot.ca.gov/hq/tsip/hseb/crs_maps/CA_ROAD_SYSTEM_INDEX: The map index grid location of the California Roadway System (CRS) Maps containing the Centerline: See http://www.dot.ca.gov/hq/tsip/hseb/crs_maps/CA_FUNCTIONAL_CLASS: The California Functional Classification of the Roadway per the CRS maps. Only classifications between 1 and 5 may qualify for state and federal funds. Classifications include:1 - Interstate2 - Other Freeway or Expressway3 - Other Principal Arterial4 - Minor Arterial5 - Major Collector6 - Minor Collector7 - LocalFEDERAL_ROUTE and FEDERAL_ROUTE_TYPE: The number of the Federal Interstate or U.S. Highway and the operational type of the facility, where applicable.STATE_ROUTE and STATE_ROUTE_TYPE: The number of the State Route or Highway and the operational type of the facility, where applicable.COUNTY_ROUTE: The number of a County Route.CITY_LEFT or CITY_RIGHT: The City or Community name to the left or right of the Centerline. Used for address geolocators.STATE: CA for Califonia. For geolocators that use the State field.ZIP_LEFT or ZIP_RIGHT: The ZIP code to the left or right of the Centerline. Used for address geolocators.FULL_NAME_MIXED_CASE: The full street name in mixed Upper and Lower case letters, sometimes also called Title case. May be used for labeling and geolocators.

  16. b

    Official Plan - Map 8 - Cultural City Features - Major Gateway

    • discover.barrie.ca
    • opendata.barrie.ca
    • +4more
    Updated Jul 18, 2023
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    The City of Barrie (2023). Official Plan - Map 8 - Cultural City Features - Major Gateway [Dataset]. https://discover.barrie.ca/datasets/barrie::official-plan-map-8-cultural-city-features-major-gateway/about
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    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    The City of Barrie
    Area covered
    Description

    Polygon feature layer representing the Major Gateway areas within the City of Barrie.

    Relevant fields within the layer include (but not limited to): Control Type, Location and Status of Asset

    The City of Barrie is situated in the heart of Central Ontario, a premier waterfront community on Lake Simcoe, conveniently located an hour north of Toronto. Visit barrie.ca for more information or contact Service Barrie at 705-726-4242 or ServiceBarrie@barrie.ca

  17. d

    Offshore Oil Leases

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 30, 2024
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    California State Lands Commission (2024). Offshore Oil Leases [Dataset]. https://catalog.data.gov/dataset/offshore-oil-leases-fe3da
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    California State Lands Commission
    Description

    California State Lands Commission Offshore Oil Leases in the vicinity of Santa Barbara, Ventura, and Orange County.The polygons in this layer show the position of Offshore Oil Leases as documented by former State Lands Senior Boundary Determination Officer, Cris N. Perez and as reviewed and updated by GIS and Boundary staff.Background: This layer represents active offshore oil and gas agreements in California waters, which are what remain of the more than 60 originally issued. These leases were issued prior to the catastrophic 1969 oil spill from Platform A in federal waters off Santa Barbara County, and some predate the formation of the Commission. Between 2010 and 2014, the bulk of the approximately $300 million generated annually for the state's General Fund from oil and gas agreements was from these offshore leases.In 1921, the Legislature created the first tidelands oil and gas leasing program. Between 1921 and 1929, approximately 100 permits and leases were issued and over 850 wells were drilled in Santa Barbara and Ventura Counties. In 1929, the Legislature prohibited any new leases or permits. In 1933, however, the prohibition was partially lifted in response to an alleged theft of tidelands oil in Huntington Beach. It wasn't until 1938, and again in 1955, that the Legislature would allow new offshore oil and gas leasing. Except for limited circumstances, the Legislature has consistently placed limits on the areas that the Commission may offer for lease and in 1994, placed the entirety of California's coast off-limits to new oil and gas leases. Layer Creation Process:In 1997 Cris N. Perez, Senior Boundary Determination Officer of the Southern California Section of the State Lands Division, prepared a report on the Commission’s Offshore Oil Leases to:A. Show the position of Offshore Oil Leases. B. Produce a hard copy of 1927 NAD Coordinates for each lease. C. Discuss any problems evident after plotting the leases.Below are some of the details Cris included in the report:I have plotted the leases that were supplied to me by the Long Beach Office and computed 1927 NAD California Coordinates for each one. Where the Mean High Tide Line (MHTL) was called for and not described in the deed, I have plotted the California State Lands Commission CB Map Coordinates, from the actual field surveys of the Mean High Water Line and referenced them wherever used. Where the MHTL was called for and not described in the deed and no California State Lands Coordinates were available, I digitized the maps entitled, “Map of the Offshore Ownership Boundary of the State of California Drawn pursuant to the Supplemental Decree of the U.S. Supreme Court in the U.S. V. California, 382 U.S. 448 (1966), Scale 1:10000 Sheets 1-161.” The shore line depicted on these maps is the Mean Lower Low Water (MLLW) Line as shown on the Hydrographic or Topographic Sheets for the coastline. If a better fit is needed, a field survey to position this line will need to be done.The coordinates listed in Cris’ report were retrieved through Optical Character Recognition (OCR) and used to produce GIS polygons using Esri ArcGIS software. Coordinates were checked after the OCR process when producing the polygons in ArcMap to ensure accuracy. Original Coordinate systems (NAD 1927 California State Plane Zones 5 and 6) were used initially, with each zone being reprojected to NAD 83 Teale Albers Meters and merged after the review process.While Cris’ expertise and documentation were relied upon to produce this GIS Layer, certain polygons were reviewed further for any potential updates since Cris’ document and for any unusual geometry. Boundary Determination Officers addressed these issues and plotted leases currently listed as active, but not originally in Cris’ report. On December 24, 2014, the SLA boundary offshore of California was fixed (permanently immobilized) by a decree issued by the U.S. Supreme Court United States v. California, 135 S. Ct. 563 (2014). Offshore leases were clipped so as not to exceed the limits of this fixed boundary. Lease Notes:PRC 1482The “lease area” for this lease is based on the Compensatory Royalty Agreement dated 1-21-1955 as found on the CSLC Insider. The document spells out the distinction between “leased lands” and “state lands”. The leased lands are between two private companies and the agreement only makes a claim to the State’s interest as those lands as identified and surveyed per the map Tract 893, Bk 27 Pg 24. The map shows the State’s interest as being confined to the meanders of three sloughs, one of which is severed from the bay (Anaheim) by a Tideland sale. It should be noted that the actual sovereign tide and or submerged lands for this area is all those historic tide and submerged lands minus and valid tide land sales patents. The three parcels identified were also compared to what the Orange County GIS land records system has for their parcels. Shapefiles were downloaded from that site as well as two centerline monuments for 2 roads covered by the Tract 893. It corresponded well, so their GIS linework was held and clipped or extended to make a parcel.MJF Boundary Determination Officer 12/19/16PRC 3455The “lease area” for this lease is based on the Tract No. 2 Agreement, Long Beach Unit, Wilmington Oil Field, CA dated 4/01/1965 and found on the CSLC insider (also recorded March 12, 1965 in Book M 1799, Page 801).Unit Operating Agreement, Long Beach Unit recorded March 12, 1965 in Book M 1799 page 599.“City’s Portion of the Offshore Area” shall mean the undeveloped portion of the Long Beach tidelands as defined in Section 1(f) of Chapter 138, and includes Tract No. 1”“State’s Portion of the Offshore Area” shall mean that portion of the Alamitos Beach Park Lands, as defined in Chapter 138, included within the Unit Area and includes Tract No. 2.”“Alamitos Beach Park Lands” means those tidelands and submerged lands, whether filled or unfilled, described in that certain Judgment After Remittitur in The People of the State of California v. City of Long Beach, Case No. 683824 in the Superior Court of the State of California for the County of Los Angeles, dated May 8, 1962, and entered on May 15, 1962 in Judgment Book 4481, at Page 76, of the Official Records of the above entitled court”*The description for Tract 2 has an EXCEPTING (statement) “therefrom that portion lying Southerly of the Southerly line of the Boundary of Subsidence Area, as shown on Long Beach Harbor Department {LBHD} Drawing No. D-98. This map could not be found in records nor via a PRA request to the LBHD directly. Some maps were located that show the extents of subsidence in this area being approximately 700 feet waterward of the MHTL as determined by SCC 683824. Although the “EXCEPTING” statement appears to exclude most of what would seem like the offshore area (out to 3 nautical miles from the MHTL which is different than the actual CA offshore boundary measured from MLLW) the 1964, ch 138 grant (pg25) seems to reference the lands lying seaward of that MHTL and ”westerly of the easterly boundary of the undeveloped portion of the Long Beach tidelands, the latter of which is the same boundary (NW) of tract 2. This appears to then indicate that the “EXCEPTING” area is not part of the Lands Granted to City of Long Beach and appears to indicate that this portion might be then the “State’s Portion of the Offshore Area” as referenced in the Grant and the Unit Operating Agreement. Section “f” in the CSLC insider document (pg 9) defines the Contract Lands: means Tract No. 2 as described in Exhibit “A” to the Unit Agreement, and as shown on Exhibit “B” to the Unit Agreement, together with all other lands within the State’s Portion of the Offshore Area.Linework has been plotted in accordance with the methods used to produce this layer, with record lines rotated to those as listed in the descriptions. The main boundaries being the MHTL(north/northeast) that appears to be fixed for most of the area (projected to the city boundary on the east/southeast); 3 nautical miles from said MHTL on the south/southwest; and the prolongation of the NWly line of Block 50 of Alamitos Bay Tract.MJF Boundary Determination Officer 12-27-16PRC 4736The “lease area” for this lease is based on the Oil and Gas Lease and Agreement as found on the CSLC insider and recorded August 17, 1973 in BK 10855 PG 432 Official Records, Orange County. The State’s Mineral Interests are confined to Parcels “B-1” and “B-2” and are referred to as “State Mineral Lands” comprising 70.00 Acres. The lessee each has a right to certain uses including but not limited to usage of utility corridors, 110 foot radius parcels surrounding well-sites and roads. The State also has access to those same roads per this agreement/lease. Those uses are allowed in what are termed “State Lands”-Parcel E and “Leased Lands” which are defined as the “South Bolsa Lease Area”-Parcel C (2 parcels) and “North Bolsa Lease Area”-Parcel D. The “State Lands”-Parcel E are actually 3 parcels, 2 of which are within road right-of-ways. MJF Boundary Determination Officer 12-28-16

  18. Most dangerous cities in the U.S. 2023, by violent crime rate

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

  19. G

    Tactile Maps of Canada-Maps For Transportation And Tourism-City Approach...

    • open.canada.ca
    cdr, gif, html, pdf
    Updated Feb 22, 2022
    + more versions
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    Natural Resources Canada (2022). Tactile Maps of Canada-Maps For Transportation And Tourism-City Approach Maps-Oxford County [Dataset]. https://open.canada.ca/data/en/dataset/83cad931-bc78-5bdf-8112-5beeaefe73a8
    Explore at:
    pdf, cdr, gif, htmlAvailable download formats
    Dataset updated
    Feb 22, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Oxford County, Canada
    Description

    The map title is Oxford County. Tactile map scale. 2.7 centimetres = 10 kilometres North arrow pointing to the north. Oxford County general area. Stratford, Waterloo, Cambridge, London, Woodstock, Brantford, Ingersol, Tilsonburg. Highway 401, highway 403. Secondary roads. Railroad. Airport in London. Train Station, bus terminals. Bus terminals. Oxford County line. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

  20. w

    Major Active Transportation Routes

    • data.waterloo.ca
    • geohub.cambridge.ca
    • +5more
    Updated Sep 22, 2015
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    City of Waterloo (2015). Major Active Transportation Routes [Dataset]. https://data.waterloo.ca/datasets/major-active-transportation-routes
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    Dataset updated
    Sep 22, 2015
    Dataset authored and provided by
    City of Waterloo
    Area covered
    Description

    The Major Active Transportation Routes are intended to emphasize the network of trail facilities within The City of Waterloo that have been identified by the Transportation and Trails Advisory Committee as high priority. This information is intended to provide context and reference on maps pertaining to recreation and active transportation.

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California Department of Technology (2025). California City Boundaries and Identifiers [Dataset]. https://data.ca.gov/dataset/california-city-boundaries-and-identifiers
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California City Boundaries and Identifiers

Explore at:
zip, csv, html, gpkg, txt, kml, xlsx, geojson, gdb, arcgis geoservices rest apiAvailable download formats
Dataset updated
Feb 26, 2025
Dataset authored and provided by
California Department of Technologyhttp://cdt.ca.gov/
Area covered
California City
Description

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

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

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

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

Related Layers

This dataset is part of a grouping of many datasets:

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

Point of Contact

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

Field and Abbreviation Definitions

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

Boundary Accuracy
County boundaries were originally

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