19 datasets found
  1. a

    California City Boundaries and Identifiers

    • hub.arcgis.com
    • data.ca.gov
    • +1more
    Updated Sep 16, 2024
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    California Department of Technology (2024). California City Boundaries and Identifiers [Dataset]. https://hub.arcgis.com/datasets/8cd5d2038c5547ba911eea7bec48e28b
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    California Department of Technology
    License

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

    Area covered
    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 March 2025. 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 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 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.PurposeCity 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 LayersThis dataset is part of a grouping of many datasets:Cities: Only the city boundaries and attributes, without any unincorporated areasWith Coastal BuffersWithout Coastal Buffers (this dataset)Counties: 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 BuffersWithout Coastal BuffersCity and County AbbreviationsUnincorporated Areas (Coming Soon)Census Designated PlacesCartographic CoastlinePolygonLine source (Coming Soon)Working with Coastal BuffersThe 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 ContactCalifornia Department of Technology, Office of Digital Services, odsdataservices@state.ca.govField and Abbreviation DefinitionsCDTFA_CITY: CDTFA incorporated city nameCDTFA_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 BureauCENSUS_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 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.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 countyCENSUS_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 AccuracyCounty boundaries were originally derived from a 1:24,000 accuracy dataset, with improvements made in some places to boundary alignments based on research into historical records and boundary changes as CDTFA learns of them. City boundary data are derived from pre-GIS tax maps, digitized at BOE and CDTFA, with adjustments made directly in GIS for new annexations, detachments, and corrections. Boundary accuracy within the dataset varies. While CDTFA strives to correctly include or exclude parcels from jurisdictions for accurate tax assessment, this dataset does not guarantee that a parcel is placed in the correct jurisdiction. When a parcel is in the correct jurisdiction, this dataset cannot guarantee accurate placement of boundary lines within or between parcels or rights of way. This dataset also provides no information on parcel boundaries. For exact jurisdictional or parcel boundary locations, please consult the county assessor's office and a licensed surveyor.CDTFA's data is used as the best available source because BOE and CDTFA receive information about changes in jurisdictions which otherwise need to be collected independently by an agency or company to compile into usable map boundaries. CDTFA maintains the best available statewide boundary information.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. 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

  2. a

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

    • hub.arcgis.com
    • data.ca.gov
    • +1more
    Updated Oct 25, 2024
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    California Department of Technology (2024). California Overlapping Cities and Counties and Identifiers with Coastal Buffers [Dataset]. https://hub.arcgis.com/maps/California::california-overlapping-cities-and-counties-and-identifiers-with-coastal-buffers
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    California Department of Technology
    License

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

    Area covered
    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.

  3. n

    Roads All - Dataset - CKAN

    • nationaldataplatform.org
    Updated Feb 28, 2024
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    (2024). Roads All - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/roads-all
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    Dataset updated
    Feb 28, 2024
    Description

    This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.

  4. TIGER/Line Shapefile, 2022, County, San Diego County, CA, Topological Faces...

    • catalog.data.gov
    • datasets.ai
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Diego County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-diego-county-ca-topological-faces-polygons-with-all-geocod
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    San Diego County, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  5. O

    Other Cities Towns

    • data.sanantonio.gov
    • hub.arcgis.com
    Updated Jun 30, 2025
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    GIS Data (2025). Other Cities Towns [Dataset]. https://data.sanantonio.gov/dataset/other-cities-towns
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    html, zip, gdb, xlsx, arcgis geoservices rest api, geojson, csv, gpkg, kml, txtAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    City of San Antonio
    Authors
    GIS Data
    Description

    This is a graphical polygon dataset depicting the polygon boundaries of Cities within Bexar County Texas and Surrounding Counties. (excluding San Antonio)Updated per Ordinance No. 564, No. 565, and No. 567 on April 9, 2015 extending the Helotes City limits with the annexation of four parcels of vacant property known as Bricewood Subdivision. Updated previously per Resolution No 2012-007-R From the City of Somerset .Updated per ordinance 2014-09-04-0657 (Savano Park ETJ ONLY release)Updated per ordinance 2014-09-04-0658 (Live Oak City Limit release)Updated per ordinance 2014-08-21-0614 (Fair Oaks Ranch ETJ ONLY release.

  6. K

    City of San Antonio, Texas Limits

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 10, 2018
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    City of San Antonio, Texas (2018). City of San Antonio, Texas Limits [Dataset]. https://koordinates.com/layer/96722-city-of-san-antonio-texas-limits/
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    dwg, kml, geodatabase, mapinfo tab, mapinfo mif, csv, pdf, geopackage / sqlite, shapefileAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    City of San Antonio, Texas
    Area covered
    Description

    © Planning and Community Development Department, Comprehensive Division Updated per Ordinance 2015-01-15-0020, Boundary Adjustment of approx. 1,906.12 Acres (Government Cayon) Updated per Ordinance 2014-11-06-0861, Boundary Adjustment of approx. 36.266 Acres. Updated per Ordinance 2014-09-04-0658 Boundary Adjustment of approx. 1.73 Acres from the City of Live Oak to the City of San Antonio. Updated per Ordinance 2014-09-04-0657 Boundary Adjustment of approx. 31.81 acres from the City of Shavano park to the City of San Antonio and approx. 6.24 acres from the City of San Antonio to Shavano Park.

    This layer is sourced from qagis.sanantonio.gov.

  7. c

    BOE TRA 2025 co37

    • gis.data.ca.gov
    Updated Jun 9, 2025
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    California Department of Tax and Fee Administration (2025). BOE TRA 2025 co37 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::san-diego-2025-roll-year?layer=1
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    Dataset updated
    Jun 9, 2025
    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 Diego County for the specified assessment roll year. Boundary alignment is based on the 2014 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

  8. K

    City of San Antonio, Texas Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 11, 2018
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    Bexar County, Texas (2018). City of San Antonio, Texas Boundaries [Dataset]. https://koordinates.com/layer/38099-city-of-san-antonio-texas-boundaries/
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    mapinfo tab, dwg, csv, mapinfo mif, shapefile, kml, geodatabase, geopackage / sqlite, pdfAvailable download formats
    Dataset updated
    Oct 11, 2018
    Dataset authored and provided by
    Bexar County, Texas
    Area covered
    Description

    Geospatial data about City of San Antonio, Texas Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

  9. c

    BOE TRA 2023 co37

    • gis.data.ca.gov
    • gis-california.opendata.arcgis.com
    Updated May 22, 2023
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    California Department of Tax and Fee Administration (2023). BOE TRA 2023 co37 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::san-diego-2023-roll-year/explore?layer=1&showTable=true
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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 Diego County for the specified assessment roll year. Boundary alignment is based on the 2014 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

  10. BOE TRA 2024 co37

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated May 31, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co37 [Dataset]. https://hub.arcgis.com/datasets/CDTFA::san-diego-2024-roll-year?layer=1
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    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

    This shapefile contains tax rate area (TRA) boundaries in San Diego County for the specified assessment roll year. Boundary alignment is based on the 2014 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

  11. n

    San Diego GIS

    • cmr.earthdata.nasa.gov
    Updated Jan 29, 2019
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    (2019). San Diego GIS [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214612238-SCIOPS
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    Dataset updated
    Jan 29, 2019
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    The SanGIS data set includes an extensive collection of GIS maps that are available to the public.

     Application Data Included:
    
     1. Public Safety: Crime Mapping & Analysis, Computer Aided Dispatch,
     Emergency Response Planning
    
     2. Planning & Development: Specific Plans, Vegetation Mapping, Zoning,
     Geologic Hazards, Codes Enforcement
    
     3. Facilities Management: Water and Waste Water Utilities, Street
     Lighting, Storm Drains, Pavement Management
    
     4. Subdivision Mapping: Basemap Maintenance, Parcel Mapping, Survey
     Control, Orthophotography
    
     5. Route Management: Water Meter Readers, Trash & Recycling Routes
    
     6. Decision Support & Analysis: Facility Siting, Airport Noise, Slope
     Analysis, Demographics, Economic Development
    
     SanGIS was created in July, 1997, as a Joint Powers Agreement (JPA)
     between the City and County of San Diego. After 13 years of working
     together on data and application development, the City and County
     decided to formalize their partnership in GIS by creating the SanGIS
     JPA. Finding that access to correct and current geographic data was
     considered more important than application development to County and
     City departments, SanGIS focuses on ensuring geographic data is
     maintained and accessible.
    
     SanGIS Mission:
    
     To maintain and promote the use of a regional geographic data
     warehouse for the San Diego area and to facilitate the development of
     shared geographic data and automated systems which use that data.
    
     SanGIS Goals:
    
     1. To ensure geographic data currency and integrity.
    
     2. To provide cost effective access to geographic data to member
     agencies, subscribers and the public.
    
     3. To generate revenue from the sale of geographic data products to
     reduce the cost of map maintenance to member agencies.
    
     Data Collection:
    
     SanGIS data was created or obtained from several sources. Some of our
     data is licensed; some data was created from tabular digital files;
     some data was digitized from paper maps; and other data was entered
     using coordinate geometry tools.
    
     Updating the Data:
    
     Responsibility for the maintenance of the over 200 geographic data
     layers is distributed to City and County departments based on several
     factors such as who has the source documents, who has the greatest
     need for the data, and who is held accountable for this data as part
     of their city-wide or county-wide duties. Most basemap maintenance is
     completed by SanGIS staff. SanGIS is also responsible for coordinating
     with other data maintainers to ensure currency and accuracy for all
     participants.
    
     Data Coverage:
    
     All of the SanGIS geographic data is within San Diego County
     only. Much of our data covers the entire County of San Diego but some
     is only for the City of San Diego.
    
     [Summary provided by SanGIS]
    
  12. K

    City of San Antonio, Texas Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 10, 2018
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    City of San Antonio, Texas (2018). City of San Antonio, Texas Parcels [Dataset]. https://koordinates.com/layer/96700-city-of-san-antonio-texas-parcels/
    Explore at:
    mapinfo mif, geodatabase, mapinfo tab, kml, pdf, dwg, csv, geopackage / sqlite, shapefileAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    City of San Antonio, Texas
    Area covered
    Description

    Vector polygon map data of property parcels from the City of San Antonio, Texas containing 629,531 features.

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

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

    Attributes for this data layer include: Shape_area, GlobalID, Shape_len, Shape, ModifiedDate, ParcelKey, and ModifiedUID.

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

  13. O

    ETJ Other Cities

    • data.sanantonio.gov
    • hub.arcgis.com
    Updated Jun 30, 2025
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    GIS Data (2025). ETJ Other Cities [Dataset]. https://data.sanantonio.gov/dataset/etj-other-cities
    Explore at:
    html, kml, geojson, zip, txt, gpkg, arcgis geoservices rest api, csv, gdb, xlsxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    City of San Antonio
    Authors
    GIS Data
    Description

    This is a geographic database of the extraterritorial jurisdiction of the cities that are within Bexar County (San Antonio excluded)Updated previously per Resolution No 2012-007-R From the City of Somerset which effected the ETJ as well.Updated per ordinance 2013-05-09-0318 (Helotes ETJ ONLY release)

  14. O

    ETJ COSA

    • data.sanantonio.gov
    • hub.arcgis.com
    • +1more
    Updated Jun 30, 2025
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    GIS Data (2025). ETJ COSA [Dataset]. https://data.sanantonio.gov/dataset/etj-cosa
    Explore at:
    arcgis geoservices rest api, xlsx, gpkg, csv, zip, geojson, kml, html, gdb, txtAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    City of San Antonio
    Authors
    GIS Data
    Description

    This is a graphical polygon dataset depicting the polygon boundaries of San Antonio's extraterritorial jurisdiction within Bexar County, Texas for the year 2014Updated per Ordinance 2015-01-15-0020, Boundary Adjustment of approx. 1,906.12 Acres (Government Cayon) increases the ETJ as a function of state law. Updated per Ordinance 2014-09-04-0658 Boundary Adjustment of approx. 1.73 Acres from the City of Live Oak to the City of San Antonio. Updated per Ordinance 2014-09-04-0657 Boundary Adjustment of approx. 31.81 acres from the City of Shavano park to the City of San Antonio and approx. 6.24 acres from the City of San Antonio to Shavano Park.

  15. a

    BOE TRA 2022 co37

    • gis-california.opendata.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated May 19, 2022
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    California Department of Tax and Fee Administration (2022). BOE TRA 2022 co37 [Dataset]. https://gis-california.opendata.arcgis.com/datasets/CDTFA::boe-tra-2022-co37/explore?showTable=true
    Explore at:
    Dataset updated
    May 19, 2022
    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 Diego County for the specified assessment roll year. Boundary alignment is based on the 2014 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

  16. O

    Atlas14PrecipitationAreas

    • data.sanantonio.gov
    • hub.arcgis.com
    Updated May 14, 2019
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    GIS Data (2019). Atlas14PrecipitationAreas [Dataset]. https://data.sanantonio.gov/dataset/atlas14precipitationareas
    Explore at:
    arcgis geoservices rest api, kml, xlsx, zip, csv, geojson, html, gdb, gpkg, txtAvailable download formats
    Dataset updated
    May 14, 2019
    Dataset provided by
    City of San Antonio, Transportation & Capital Improvements Department
    Authors
    GIS Data
    Description

    NOAA provided Atlas 14, Volume 11 rainfall data in a GIS compatible ASCii format. The resulting processed rainfall isopluvials align in a general east-west direction. Using the east-west isopluvial orientation as a general guide, the datasets listed below were used to inform and refine the delineation of the Precipitation Area boundaries. The five (5) Precipitation Areas are generally orientated lengthwise in an east-west direction to follow the isopluvial orientation. Precipitation Area numbering followed a north-south direction, with PA-1 being the most northerly area and PA-5 being the most southerly area.

    Datasets used to inform the PA boundary delineations and source (acquired in 2018):

    • San Antonio River watershed subbasins - San Antonio River Authority

    • HUC 12 layers – Texas Natural Resources Information System

    • Rivers & Creeks – United States Geological Survey

    • Bexar County boundary – City of San Antonio

    • Cibolo Creek subbasins – San Antonio River Authority

    This dataset will be evaluated for general accuracy on an annual basis, or more frequently as necessary.

  17. O

    Mandatory Detention Area

    • data.sanantonio.gov
    • opendata-cosagis.opendata.arcgis.com
    • +1more
    Updated Jun 23, 2025
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    GIS Data (2025). Mandatory Detention Area [Dataset]. https://data.sanantonio.gov/dataset/mandatory-detention-area
    Explore at:
    arcgis geoservices rest api, geojson, xlsx, txt, gpkg, zip, kml, html, gdb, csvAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    City of San Antonio, Public Works, Storm Water Engineering
    Authors
    GIS Data
    Description

    This is a geographical polygon dataset depicting the polygon boundaries of all mandatory detention areas within the City of San Antonio, and Bexar County, Texas.

  18. a

    SAPD Bike Patrol Districts

    • opendata-cosagis.opendata.arcgis.com
    • data.sanantonio.gov
    • +1more
    Updated Jan 31, 2018
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    City of San Antonio (2018). SAPD Bike Patrol Districts [Dataset]. https://opendata-cosagis.opendata.arcgis.com/datasets/sapd-bike-patrol-districts/about
    Explore at:
    Dataset updated
    Jan 31, 2018
    Dataset authored and provided by
    City of San Antonio
    Area covered
    Description

    The SAPD Bike Patrol Areas are not used as beats, districts, etc, but rather as areas to help break apart their service area. It is not clear to what extent that the San Antonio Police Department uses these areas outside illustrating Bike Patrol's service area.

  19. a

    MandatoryLidAreas

    • opendata-cosagis.opendata.arcgis.com
    • data.sanantonio.gov
    • +1more
    Updated Jul 2, 2019
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    City of San Antonio (2019). MandatoryLidAreas [Dataset]. https://opendata-cosagis.opendata.arcgis.com/datasets/CoSAGIS::mandatorylidareas/about
    Explore at:
    Dataset updated
    Jul 2, 2019
    Dataset authored and provided by
    City of San Antonio
    License

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

    Area covered
    Description

    As per UDC Section 35-673, Low Impact Development (LID) is required for properties that are within River Improvement Overlay (RIO) Districts 1, 2, 4, 5, 6 or 7 and are directly adjacent to the San Antonio River or San Pedro Creek. LID design and construction shall be in accordance with UDC Section 35-210. These exhibits are intended to illustrate the limits of the mandatory LID areas. Subdivision of tracts within or adjacent to the mandatory LID areas may result in modification to the mandatory LID area boundary. Contact the Transportation & Capital Improvements (TCI) Storm Water Engineering Review Team for questions regarding the limits of mandatory LID areas and for guidance on LID design.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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California Department of Technology (2024). California City Boundaries and Identifiers [Dataset]. https://hub.arcgis.com/datasets/8cd5d2038c5547ba911eea7bec48e28b

California City Boundaries and Identifiers

Explore at:
Dataset updated
Sep 16, 2024
Dataset authored and provided by
California Department of Technology
License

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

Area covered
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 March 2025. 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 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 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.PurposeCity 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 LayersThis dataset is part of a grouping of many datasets:Cities: Only the city boundaries and attributes, without any unincorporated areasWith Coastal BuffersWithout Coastal Buffers (this dataset)Counties: 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 BuffersWithout Coastal BuffersCity and County AbbreviationsUnincorporated Areas (Coming Soon)Census Designated PlacesCartographic CoastlinePolygonLine source (Coming Soon)Working with Coastal BuffersThe 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 ContactCalifornia Department of Technology, Office of Digital Services, odsdataservices@state.ca.govField and Abbreviation DefinitionsCDTFA_CITY: CDTFA incorporated city nameCDTFA_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 BureauCENSUS_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 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.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 countyCENSUS_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 AccuracyCounty boundaries were originally derived from a 1:24,000 accuracy dataset, with improvements made in some places to boundary alignments based on research into historical records and boundary changes as CDTFA learns of them. City boundary data are derived from pre-GIS tax maps, digitized at BOE and CDTFA, with adjustments made directly in GIS for new annexations, detachments, and corrections. Boundary accuracy within the dataset varies. While CDTFA strives to correctly include or exclude parcels from jurisdictions for accurate tax assessment, this dataset does not guarantee that a parcel is placed in the correct jurisdiction. When a parcel is in the correct jurisdiction, this dataset cannot guarantee accurate placement of boundary lines within or between parcels or rights of way. This dataset also provides no information on parcel boundaries. For exact jurisdictional or parcel boundary locations, please consult the county assessor's office and a licensed surveyor.CDTFA's data is used as the best available source because BOE and CDTFA receive information about changes in jurisdictions which otherwise need to be collected independently by an agency or company to compile into usable map boundaries. CDTFA maintains the best available statewide boundary information.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. 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

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