11 datasets found
  1. K

    Fresno County, California Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fresno County, California (2022). Fresno County, California Parcels [Dataset]. https://koordinates.com/layer/109480-fresno-county-california-parcels/
    Explore at:
    pdf, mapinfo tab, kml, csv, geodatabase, geopackage / sqlite, shapefile, dwg, mapinfo mifAvailable download formats
    Dataset updated
    Sep 23, 2022
    Dataset authored and provided by
    Fresno County, California
    Area covered
    Description

    Geospatial data about Fresno County, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.

  2. Creek Fire Structure Status - Fresno County

    • catalog.data.gov
    • data.ca.gov
    • +4more
    Updated Jul 23, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CAL FIRE (2025). Creek Fire Structure Status - Fresno County [Dataset]. https://catalog.data.gov/dataset/creek-fire-structure-status-fresno-county-b17ed
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    Fresno County
    Description

    Use this app to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.For more information about the wildfire response efforts, visit the CAL FIRE incident page.

  3. TIGER/Line Shapefile, Current, County, Fresno County, CA, All Roads

    • catalog.data.gov
    Updated Aug 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Fresno County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-fresno-county-ca-all-roads
    Explore at:
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    California, Fresno County
    Description

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

  4. i15 LandUse Fresno1994

    • cnra-test-nmp-cnra.hub.arcgis.com
    • cnra-gis-open-data-staging-cnra.hub.arcgis.com
    • +1more
    Updated Feb 8, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Carlos.Lewis@water.ca.gov_DWR (2023). i15 LandUse Fresno1994 [Dataset]. https://cnra-test-nmp-cnra.hub.arcgis.com/items/0bbe09cf8d434a5f904af6b7ba9076d6
    Explore at:
    Dataset updated
    Feb 8, 2023
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Authors
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    The 1994 Fresno County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s San Joaquin District. Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and San Joaquin District. Important Points about Using this Data Set: 1. The land use boundaries were hand drawn directly on USGS quad maps and then digitized. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. For example, the surveyor might have seen a cropped field in the photograph, and the field visit showed a field of corn, so the field was given a corn attribute. In another field, the photograph might have shown a crop that was golden in color (indicating grain prior to harvest), and the field visit showed newly planted corn. This field would be given an attribute showing a double crop, grain followed by corn. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 4. Water source and irrigation method information was not collected for this survey. 5. Not all land use codes will be represented in the survey.

  5. c

    BOE TRA 2025 co10

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated Jun 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Tax and Fee Administration (2025). BOE TRA 2025 co10 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::boe-tra-2025-co10
    Explore at:
    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 Fresno County for the specified assessment roll year. Boundary alignment is based on the 2023 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

  6. A

    i15 LandUse Fresno2009 east

    • data.amerigeoss.org
    Updated Feb 16, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States (2022). i15 LandUse Fresno2009 east [Dataset]. https://data.amerigeoss.org/ja/dataset/i15-landuse-fresno2009-east-6c6db
    Explore at:
    geojson, html, csv, zip, arcgis geoservices rest api, kmlAvailable download formats
    Dataset updated
    Feb 16, 2022
    Dataset provided by
    United States
    Description

    This map is designated as Final.

    Land-Use Data Quality Control

    Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.

    Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.

    Provisional datasets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.

    The 2009 Fresno County, east, land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM), Water Use Efficiency Branch (WUE). Digitized land use boundaries and associated attributes were gathered by staff from DWR’s South Central Region (SCRO), using extensive field visits and aerial photography. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Prior to the summer field survey by SCRO, WUE staff analyzed Landsat 5 imagery to identify fields likely to have winter crops. The combined land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s WUE Land Use Unit and SCRO, under the supervision of Steve Ewert. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of eastern Fresno County conducted by DWR, South Central Regional Office staff, under the leadership of Steve Ewert, Senior Land and Water Use Supervisor. The field work for this survey was conducted during the summer of 2009. SCRO staff physically visited each delineated field, noting the crops grown at each location. Field survey boundary data was developed using: 1. Eastern Fresno County was surveyed using the 2006 two-meter resolution National Agriculture Imagery Program (NAIP) digital aerial photos as a base for the preliminary line work. Line work for this survey was digitized using ArcMap software. When the 2009 one-meter resolution NAIP aerial photography became available, this was used to review the digital land use data. 2. The western boundary of the survey area is defined by the western boundaries of DWR’s Detailed Analysis Units 235 and 237. The northern boundary of the survey area is defined in part by the county boundary and also by the northern boundaries of the following U.S. Geological Survey’s (U.S.G.S) 7.5’ quadrangles: Friant (U.S.G.S. No. 36119H6), Academy (U.S.G.S. No. 36119H5), Piedra (U.S.G.S. No. 36119G4) and Pine Flat Dam (U.S.G.S. No. 36119G3). The eastern boundary of the survey area is defined in part by the county boundary and also by the eastern boundaries of the following quadrangles: Academy (U.S.G.S. No. 36119H5), Pine Flat Dam (U.S.G.S. No. 36119G3) and Orange Cove North (U.S.G.S. No. 36119F3). The southern boundary of the survey area is defined by the county boundary. 3. Digital aerial photographs and land use field boundaries were copied onto laptop computers for field data collection. The staff took these laptops into the field and virtually all areas were visited to positively identify the agricultural land uses. Land use codes were digitized directly into the laptop computers using ArcMap software using a standardized digitizing process. Some staff took printed aerial photos into the field instead of laptops and wrote land use codes directly onto these photo field sheets. Attributes for these areas were digitized later in the office. The field visits occurred between July 2009 and January 2010. Urban areas were primarily mapped by photo interpretation. Sources of irrigation water were not mapped in this survey. 4. Shapefiles of the field boundary lines and point attributes of the survey data were brought into ARCINFO. Both quadrangle and survey-wide polygon shapefiles were created, and underwent quality checks. 5. Winter grain fields were mapped using an analysis of Landsat 5 imagery. Two major assumptions in the analysis were that 1.) Winter grain was grown on some of the fields where corn, sudan or tomatoes were grown during the summer or where fields were fallow during the summer. 2.) For the fields listed above, we assumed that fields with high winter canopy cover were grain fields. To detect the winter grain fields of eastern Fresno County for the 2009 land use survey, corn fields were queried from the initial shapefile of the land use survey and classified using Landsat 5 imagery. The corn field polygons were buffered in 30 meters to reduce edge effects on the classification. The buffering eliminated some of the smaller fields leaving 798 fields to be classified. The Landsat 5 image acquired on 04/23/2009 was selected as the most appropriate for mapping grain for this survey. Approximately 10 percent of the corn fields were non-randomly selected to represent winter grain and fallow fields. Using a false color infrared display, bright red fields were selected to represent grain and light blue (non-red) fields were selected to represent fallow fields. Using the Hawth’s tools function, the selected fields were randomly divided into training (60%) and accuracy assessment (40%) categories. The polygons were then converted into raster format from vector format. Using ERDAS Imagine, the raster files were used to mask the Landsat 5 image and create two subset Landsat images representing training fields only and training plus accuracy assessment fields. eCognition Developer version 8.0 software was used with the Landsat image of training fields to segment each field into smaller signature areas. Polygons representing these signature areas were exported from eCognition Developer and the attributes of grain or fallow were added to these polygons. Spectral signatures based upon Landsat 5 bands 1,2,3,4,5, and 7 were created using ERDAS Imagine 2010. After associating the signatures with the image of training and accuracy assessment fields combined, a supervised classification was performed using the maximum likelihood parametric rule to classify each pixel. Zonal attributes of the fields were calculated using the recoded image. Based on the zonal attribute plurality, fields were classified as either winter grain or winter fallow. When there were no errors in the identification of “grain” and “fallow” fields in the fields reserved for accuracy assessment, a supervised classification was performed on the Landsat pixels representing all summer corn fields. Landsat images of each classified corn field were visually inspected in ArcMap to determine the reasonableness of the classification results. In addition to the Landsat 5 scene acquired on 04/23/2009, scenes acquired on 08/10/2008, 11/14/2008, 03/06/2009, 03/22/2009, 04/07/2009, 05/09/2009, 05/25/2009 and 06/26/2009 were used for the visual review of the results. Using the above methods, 660 fields were identified as winter grain. In a second process, polygons representing 315 fields that had initially been mapped as fallow, sudan or tomatoes during the 2009 summer field work were selected from the original land use survey shapefile. These were combined with the polygons representing the previously selected training fields. The polygons were converted from vector to raster format. The resulting raster file was used to mask the April 23, 2009 Landsat 5 image using ERDAS Imagine to produce a subset image. This new image was associated with the signatures previously developed to classify winter grain fields, and a supervised classification of each pixel was performed using the maximum likelihood parametric rule. After recoding, zonal attributes were calculated for each polygon. Based on the plurality calculated for each field, fields were identified as either grain or fallow for the winter season. Polygons identified as grain fields were individually inspected in ArcMap to assure the reasonableness of the classification results. Using the above methods, 67 fields were identified as winter grain. Polygons representing all winter grain crops identified by classifying the Landsat 5 images were merged together. The original land use shapefile was updated by adding grain as a first crop to the selected polygons and moving the summer crop into the set of cells that represent a second crop. All field boundary changes were incorporated into the original shapefile. The

  7. a

    Public Services and Facilities

    • geostack-mercedcounty.opendata.arcgis.com
    Updated May 1, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Merced County GIS (2020). Public Services and Facilities [Dataset]. https://geostack-mercedcounty.opendata.arcgis.com/maps/MercedCounty::public-services-and-facilities/about
    Explore at:
    Dataset updated
    May 1, 2020
    Dataset authored and provided by
    Merced County GIS
    License

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

    Area covered
    Description

    ·
    Merced School Districts TRAs- Merced County High School District TRAs is a layer that identifies High School District boundary locations identified by the Tax Rate Area.

    ·
    MC Community Service TRAs – Merced County Community Service TRAs is a layer that identifies Community Service boundary locations identified by the Tax Rate Area.

    ·
    Unified School Districts TRAs - Merced County Unified School Districts TRAs is a layer that identifies Unified School Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Water District TRAs - Merced County Water Districts TRAs is a layer that identifies Water Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Drainage TRAs - Merced County Drainage Districts TRAs is a layer that identifies Drainage Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Irrigation District TRAs - Merced County Irrigation Districts TRAs is a layer that identifies Irrigation Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Sanitary District TRAs - Merced County Sanitary Districts TRAs is a layer that identifies Sanitary Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Levee Districts TRAs - Merced County Levee Districts TRAs is a layer that identifies Levee Districts boundary locations identified by the Tax Rate Area.

    ·
    Merced County Assessor Parcels - The Assessor's office maintain GIS data layers that show every parcel of property in Merced County. These parcel layers are the basis for the assessment of real property. The maps are continuously updated to reflect new parcels and changes to existing parcels.Merced County Boundary - Merced County boundary is an area located in a California Constitution defined general law county. Merced County comprises the Merced, CA Metropolitan Area. It includes in the Modesto-Merced, a portion is located north of Fresno County and Fresno, and southeast of Santa Clara County and San Jose.

    · Merced Schools – Merced Schools layer identified school locations with Merced County Boundary.

    ·
    Urban Community: Includes areas in the unincorporated Merced County that have a range of housing densities, commercial uses, public sewer and/or water infrastructure, public services, and employment-generating land uses. (Note: these areas were known under the previous general plan as "Specific Urban Development Plans")

    · City Planning Area - Includes land located within the adopted sphere of influence of the cities of Atwater, Dos Palos, Gustine, Livingston, Los Banos, and Merced (where there is an adopted sphere of influence agreement). The land use and development within the cities is regulated by each City's general plan and the unincorporated fringe area outside the city limits is governed by the County general Plan and individual sphere of influence or land use agreement.

    ·
    Merced County Municipal Advisory Council – A Merced County layer geographically identifies Planners overseeing different Counsels in Merced County. MACs are defined as “The board of supervisors of any county may by resolution establish and provide funds for the operation of a municipal advisory council for any unincorporated area in the county to advise the board on such matters which relate to that area as may be designated by the board concerning services which are or may be provided to the area by the county or other local governmental agencies, including but not limited to advice on matters of public health, safety, welfare, public works, and planning. Unless the board of supervisors specifically provides to the contrary, a municipal advisory council may represent the community to any state, county, city, special district or school district, agency or commission, or any other organization on any matter concerning the community. The board may pay from available funds such actual and necessary expenses of travel, lodging, and meals for the members of the council while on such official business as may be approved by the board.”

    ·
    Merced Fire Stations- The primary mission of the Merced County Fire Department is to provide a range of programs aimed at protecting the lives and property of the people of Merced County from the adverse effects of fires, sudden medical emergencies, exposure to hazardous materials, or other dangerous conditions. The layer identifies its locations.

    ·
    Parks– Park location of natural, semi-natural, or planted space set aside for human enjoyment and recreation and for the protection of wildlife or natural habitat.

    ·
    Merced Sheriff Beats - The Sherriff Department provides law enforcement services to the community. Beats are areas that are staffed around the clock, supplying emergency and non-emergency response to calls for service within the unincorporated areas of the county.

    ·
    Board of Supervisors Districts – Board of Supervisor District operate within Merced County. It is a government body that oversees the operation of County government. It geographically identifies the boundary for each Supervisor.

    ·
    Merced Police Stations – The Police Department is a professional organization to provide professional services through honest, ethical, fair and consistent practices that enhance the provision of life and property protection, utilizing advance technology.

  8. California County Boundaries

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +7more
    Updated Oct 16, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Forestry and Fire Protection (2019). California County Boundaries [Dataset]. https://gis.data.ca.gov/datasets/CALFIRE-Forestry::california-county-boundaries
    Explore at:
    Dataset updated
    Oct 16, 2019
    Dataset authored and provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    Description

    In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata.A dataset was made available (approximately 2004) through CALFIRE - FRAP and the California Spatial Information Library (CaSIL), with additional updates throughout subsequent years. More recently, an effort was made to improve the coastal linework by using the previous interior linework from the 24k data, but replacing the coastal linework based on NOAA's ERMA coastal dataset (which used NAIP 2010). In this dataset, all bays (plus bay islands and constructed features) are merged into the mainland, and coastal features (such as islands and constructed features) are not included, with the exception of the Channel Islands which ARE included.This service represents the latest released version, and is updated when new versions are released. As of June, 2019 it represents cnty19_1.

  9. Data from: Annual Average Daily Traffic

    • gisdata-caltrans.opendata.arcgis.com
    • data.ca.gov
    • +2more
    Updated Sep 30, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California_Department_of_Transportation (2024). Annual Average Daily Traffic [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/d8833219913c44358f2a9a71bda57f76
    Explore at:
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Caltranshttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    Area covered
    Description

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

  10. c

    Sierra Nevada Subregional Boundary - Sierra Nevada Conservancy [ds542] GIS...

    • map.dfg.ca.gov
    Updated Apr 28, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2014). Sierra Nevada Subregional Boundary - Sierra Nevada Conservancy [ds542] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0542.html
    Explore at:
    Dataset updated
    Apr 28, 2014
    Area covered
    Sierra Nevada, Nevada
    Description

    CDFW BIOS GIS Dataset, Contact: Bob Kingman, Description: According to GreenInfo Network and the California Department of Fish and Game, the blue oak woodland used to define a portion of the Sierra Nevada Conservancy's western boundary was delineated using referenced vegetation and imagery data. To display the Sierra Nevada Conservancy boundary.

  11. c

    CA Zip Code Boundaries

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Dec 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Technology (2024). CA Zip Code Boundaries [Dataset]. https://gis.data.ca.gov/datasets/ca-zip-code-boundaries/about
    Explore at:
    Dataset updated
    Dec 24, 2024
    Dataset authored and provided by
    California Department of Technology
    Area covered
    California,
    Description

    This feature service is derived from the Esri "United States Zip Code Boundaries" layer, queried to only CA data.For the original data see: https://esri.maps.arcgis.com/home/item.html?id=5f31109b46d541da86119bd4cf213848Published by the California Department of Technology Geographic Information Services Team.The GIS Team can be reached at ODSdataservices@state.ca.gov.U.S. ZIP Code Boundaries represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states (or equivalent areas) numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a Sectional Center Facility (SCF) or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.As of the time this layer was published, in January 2025, Esri's boundaries are sourced from TomTom (June 2024) and the 2023 population estimates are from Esri Demographics. Esri updates its layer annually and those changes will immediately be reflected in this layer. Note that, because this layer passes through Esri's data, if you want to know the true date of the underlying data, click through to Esri's original source data and look at their metadata for more information on updates.Cautions about using Zip Code boundary dataZip code boundaries have three characteristics you should be aware of before using them:Zip code boundaries change, in ways small and large - these are not a stable analysis unit. Data you received keyed to zip codes may have used an earlier and very different boundary for your zip codes of interest.Historically, the United States Postal Service has not published zip code boundaries, and instead, boundary datasets are compiled by third party vendors from address data. That means that the boundary data are not authoritative, and any data you have keyed to zip codes may use a different, vendor-specific method for generating boundaries from the data here.Zip codes are designed to optimize mail delivery, not social, environmental, or demographic characteristics. Analysis using zip codes is subject to create issues with the Modifiable Areal Unit Problem that will bias any results because your units of analysis aren't designed for the data being studied.As of early 2025, USPS appears to be in the process of releasing boundaries, which will at least provide an authoritative source, but because of the other factors above, we do not recommend these boundaries for many use cases. If you are using these for anything other than mailing purposes, we recommend reconsideration. We provide the boundaries as a convenience, knowing people are looking for them, in order to ensure that up-to-date boundaries are available.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Fresno County, California (2022). Fresno County, California Parcels [Dataset]. https://koordinates.com/layer/109480-fresno-county-california-parcels/

Fresno County, California Parcels

Explore at:
pdf, mapinfo tab, kml, csv, geodatabase, geopackage / sqlite, shapefile, dwg, mapinfo mifAvailable download formats
Dataset updated
Sep 23, 2022
Dataset authored and provided by
Fresno County, California
Area covered
Description

Geospatial data about Fresno County, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Search
Clear search
Close search
Google apps
Main menu