100+ datasets found
  1. a

    Zoning, FLUM, & Undeveloped Land Acreage

    • city-of-friendswood-mapping-home-page-fwd.hub.arcgis.com
    Updated Mar 6, 2025
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    City of Friendswood - GIS (2025). Zoning, FLUM, & Undeveloped Land Acreage [Dataset]. https://city-of-friendswood-mapping-home-page-fwd.hub.arcgis.com/datasets/zoning-flum-undeveloped-land-acreage
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    City of Friendswood - GIS
    Description

    Comprehensive app to show three separate dashboards for zoning, future land use map, and undeveloped land. Apps: Zoning by Parcels DashboardUndeveloped Land DashboardFLUM by Parcels Dashboard

  2. c

    USA Federal Lands

    • geodata.colorado.gov
    • hub.arcgis.com
    Updated Feb 5, 2018
    + more versions
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    Esri (2018). USA Federal Lands [Dataset]. https://geodata.colorado.gov/maps/esri::usa-federal-lands
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    Dataset updated
    Feb 5, 2018
    Dataset authored and provided by
    Esri
    Area covered
    Description

    In the United States, the federal government manages approximately 28% of the land in the United States. Most federal lands are west of the Mississippi River, where almost half of the land by area is managed by the federal government. Federal lands include 193 million acres managed by the US Forest Service in 154 National Forests and 20 National Grasslands, Bureau of Land Management lands that cover 247 million acres in Alaska and the Western United States, 150 million acres managed for wildlife conservation by the US Fish and Wildlife Service, 84 million acres of National Parks and other lands managed by the National Park Service, and over 30 million acres managed by the Department of Defense. The Bureau of Reclamation manages a much smaller land base than the other agencies included in this layer but plays a critical role in managing the country's water resources. The agencies included in this layer are:Bureau of Land ManagementDepartment of DefenseNational Park ServiceUS Fish and Wildlife ServiceUS Forest ServiceDataset SummaryPhenomenon Mapped: United States federal lands managed by six federal agenciesGeographic Extent: 50 United States and the District of Columbia, Puerto Rico, US Virgin Islands, Guam, American Samoa, and Northern Mariana Islands. The layer also includes National Monuments and Wildlife Refuges in the Pacific Ocean, Atlantic Ocean, and the Caribbean Sea.Data Coordinate System: WGS 1984Visible Scale: The data is visible at all scales but draws best at scales greater than 1:2,000,000Source: BLM, DOD, USFS, USFWS, NPS, PADUS 3.0Publication Date: Various - Esri compiled and published this layer in May 2025. See individual agency views for data vintage.There are six layer views available that were created from this service. Each layer uses a filter to extract an individual agency from the service. For more information about the layer views or how to use them in your own project, follow these links:USA Bureau of Land Management LandsUSA Department of Defense LandsUSA National Park Service LandsUSA Fish and Wildlife Service LandsUSA Forest Service LandsWhat can you do with this Layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "federal lands" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "federal lands" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shapefile or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  3. NPS - Land Resources Division Boundary and Tract Data Service

    • public-nps.opendata.arcgis.com
    • gis.data.mass.gov
    • +4more
    Updated Dec 13, 2019
    + more versions
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    National Park Service (2019). NPS - Land Resources Division Boundary and Tract Data Service [Dataset]. https://public-nps.opendata.arcgis.com/maps/c8d60ffcbf5c4030a17762fe10e81c6a
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    Dataset updated
    Dec 13, 2019
    Dataset authored and provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Description

    This service depicts National Park Service tract and boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. The data accuracy is checked against best available sources which may be dated and vary by location. NPS assumes no liability for use of this data. The boundary polygons represent the current legislated boundary of a given NPS unit. NPS does not necessarily have full fee ownership or hold another interest (easement, right of way, etc...) in all parcels contained within this boundary. Equivalently NPS may own or have an interest in parcels outside the legislated boundary of a given unit. In order to obtain complete information about current NPS interests both inside and outside a unit’s legislated boundary tract level polygons are also created by NPS Land Resources Division and should be used in conjunction with this boundary data. To download this data directly from the NPS go to https://irma.nps.gov Property ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service (NPS) shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.

  4. a

    Michigan Forest Land Ownership 2019

    • usfs.hub.arcgis.com
    Updated Jun 14, 2021
    + more versions
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    U.S. Forest Service (2021). Michigan Forest Land Ownership 2019 [Dataset]. https://usfs.hub.arcgis.com/maps/f1a15650f89f4da794030f65044f7ef9
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    Dataset updated
    Jun 14, 2021
    Dataset authored and provided by
    U.S. Forest Service
    Area covered
    Description

    This geospatial dataset depicts ownership patterns of forest land across Michigan, circa 2019. The data sources are listed below. The first seven sources of data supersede the final data source. The final data source is modeled from Forest Inventory and Analysis points from 2012-2017 and the most up-to-date publicly available boundaries of federal, state, and tribal lands.1.MI_State_Boundary_Census_Gov_2019.shp (State of MI boundary) clipped from cb_2019_us_state_500k from https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html2.NPS_Land_Resources_Division_MI.shp clipped from NPS_-_Land_Resources_Division_Boundary_and_Tract_Data_Service-shp taken from https://public-nps.opendata.arcgis.com/datasets/nps-land-resources-division-boundary-and-tract-data-service/data?layer=1Published December 12, 2019This service depicts National Park Service tract and boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. The data accuracy is checked against best available sources which may be dated and vary by location. NPS assumes no liability for use of this data. The boundary polygons represent the current legislated boundary of a given NPS unit. NPS does not necessarily have full fee ownership or hold another interest (easement, right of way, etc...) in all parcels contained within this boundary. Equivalently NPS may own or have an interest in parcels outside the legislated boundary of a given unit. In order to obtain complete information about current NPS interests both inside and outside a unit’s legislated boundary tract level polygons are also created by NPS Land Resources Division and should be used in conjunction with this boundary data. To download this data directly from the NPS go to https://irma.nps.gov/App/Portal/Home Property ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service (NPS) shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. Terms of UseProperty ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.3.Isle Royale.shp only Isle Royale clipped from MI_State_Boundary_Census_Gov_2019.shp4.FWSInterest_MI.shp (U.S. Fish and Wildlife Service) clipped from FWSInterest from FWSInterest_Apr2020.zipfrom https://www.fws.gov/gis/data/CadastralDB/index_cadastral.html (being moved on 6/26/2020)Use inttype1 = OThis data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. It may also include inholdings that are not administered by USFWS. The primary source for this information is the USFWS Realty program.5.surfaceownership_MI.shp (U.S. National Forest Service) clipped from S_USA.SurfaceOwnership.gdb and downloaded fromhttps://data.fs.usda.gov/geodata/edw/datasets.phphttps://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=surfaceownershiprefreshed May 26, 2020Used NFSLandU_4 field and surfaceO_3 and surfaceO_3 to identify NFS parcelsAn area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries.6.MichiganDNR_02062020.shp (State of Michigan) from the State of MI delivered @ email on 5/14/2020Has State forests, State Wildlife areas, and State parks.7.The previous public ownership layers supersede this Sass et al. (2020) layer.In Sass et al. (2020), the nonforest areas are masked out.Identification_Information:Citation:Citation_Information:Originator: Sass, Emma M.Originator: Butler, Brett J.Originator: Markowski-Lindsay, Marla Publication_Date: 2020Title:Estimated distribution of forest ownership across the conterminous United States – geospatial datasetGeospatial_Data_Presentation_Form: raster digital dataPublication_Information:Publication_Place: Fort Collins, COPublisher: Forest Service Research Data ArchiveEight values of ownership type:1 = Family (Private): Owned by families, individuals, trusts, estates, family partnerships, and other unincorporated groups of individuals that own forest land. FIACode 45.2 = Corporate (Private): Owned by corporations. FIA Code 41.3 = TIMO/REIT (Private): Owned by Timber Investment Management Organizations or Real Estate Investment Trusts. Included in FIA Code 414 = Other Private (Private): Owned by conservation and natural resource organizations, unincorporated partnerships and associations. FIA Codes 42-43.5 = Federal (Public): Owned by the federal government. FIA Codes 11-13, 21-25.6 = State (Public): Owned by a state government. FIA Code 31.7 = Local (Public): Owned by a local government. FIA Code 32.8 = Tribal: Owned by Native American tribes. FIA Code 44.8.FIA inventory units developed by FIA, 2020

  5. w

    Weld County Property Ownership Map

    • gishub.weldgov.com
    • hub.arcgis.com
    • +2more
    Updated Oct 7, 2019
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    WeldCounty (2019). Weld County Property Ownership Map [Dataset]. https://gishub.weldgov.com/documents/d803a62cd16944ab8e57861f8dec0ad4
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    Dataset updated
    Oct 7, 2019
    Dataset authored and provided by
    WeldCounty
    Area covered
    Weld County
    Description

    This map shows the breakdown of parcel ownership in Weld County by surface owner. The parcels that are 40 acres and larger are labeled with the owner name, the parcels that are between 10 acres and 40 acres are labeled with a number that corresponds to the owner name index and everything smaller than 10 acres is too small to label.

  6. B

    UBC Farm Land Use Map - GIS Files

    • borealisdata.ca
    • open.library.ubc.ca
    Updated Nov 3, 2021
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    Centre for Sustainable Food Systems at UBC Farm (2021). UBC Farm Land Use Map - GIS Files [Dataset]. http://doi.org/10.5683/SP2/ZIOMGM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 3, 2021
    Dataset provided by
    Borealis
    Authors
    Centre for Sustainable Food Systems at UBC Farm
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    UBC Farm
    Description

    This dataset contains shape files and supporting files for the most up-to-date (as of the published date) land use map at the UBC Farm. The best uses of these maps are: 1) to visualize locations of field codes in other UBC Farm datasets; 2) to visualize field codes for UBC Farm research projects, and 3) to understand the general layout of the Farm.

  7. a

    Tax Parcel Data

    • hub.arcgis.com
    Updated Sep 15, 2017
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    Carteret County GIS (2017). Tax Parcel Data [Dataset]. https://hub.arcgis.com/maps/CC-GIS::tax-parcel-data
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    Dataset updated
    Sep 15, 2017
    Dataset authored and provided by
    Carteret County GIS
    License

    http://www.carteretcountync.gov/DocumentCenter/View/4659http://www.carteretcountync.gov/DocumentCenter/View/4659

    Area covered
    Description

    This data provides the geographic location for parcel boundary lines within the jurisdiction of the Carteret County, NC and is based on recorded surveys and deeds. This dataset is maintained by the Carteret County GIS Division. Data is updated on an as needed basis. The description for each field name in the layer is included below.FieldAliasMeaningPIN15Parcel NumberTax Parcel ID Number (PIN4+ PIN5)ROLL_TYPERoll TypeRoll type of property (regularly taxed property or tax-exempt)GISMOTHERMother ParcelMother ParcelGISMAPNUMPIN1First 4 digits of PIN15MAPNAMPIN2PIN1 + 2 digitsGISBLOCKPIN3Digits 7 and 8 of PIN15GISPINPIN4PIN2 +PIN3GISPDOTPIN5Digit numbers 9 to 12 of PIN15CONDO_Condo unit #Condo numberGISPRIDOld Tax IDOld parcel number style based on prior mapping system before NC GRID system mapsOWNERTax Owner 1Tax parcel ownerOWNER2Tax Owner 2Secondary tax parcel ownerSITE_HOUSESite House #Site Address House NumberSITE_DIRSite DirSite Address Street directionalSITE_STSite StreetSite Address Street NameSITE_STTYPSite Street TypeSite Address Street Suffix (e.g., Dr., St., etc.)SITE_APTNOSite AptSite Address UnitSITE_CITYSite CitySite Address City/CommunityPropertyAddressPhysical AddressProperty AddressMAIL_ADDRESS1Mailing address and streetConcatenated mailing addressMAIL_ADDRESS2Mailing unitSecondary mailing addressMAIL_CITYMailing cityMailing address CityMAIL_STATEMailing stateMailing address StateMAIL_ZI4Mailing Zip4Mailing address Zip Code + 4MAIL_ZI5Mailing Zip5Mailing address Zip CodeFullMailingAddressFull Mailing AddressFull mailing address concatenatedDBOOKDeed BookDeed book containing the most recent deed to the propertyDPAGEDeed PageDeed page containing the most recent deed to the propertyDDATEDeed Dateunformatted most recent deed date for the propertyDeedDate_2Formatted Deed DateFormatted most recent deed date for the propertyMapBookPlat Map BookMap BookMapPagePlat Map PageMap PagePLATBOOKPlat BookRecorded Plat BookPLATPAGEPlat PageRecorded Plat PageLEGAL_DESCParcel Legal DescriptionLegal descriptionLegalAcresLegal Acres (new)Deeded or platted acresDeededAcresLegal AcresAcres from recorded deedsCalculatedLandUnitsTaxed AcresTaxed land acreageGISacresCalculated AcresCalculated GIS acresGISacres2Calculated Acres (new)Calculated GIS acresLandCodeTax Land Category CodeLand CodeLandCodeDescriptionTax Land Category DescriptionLand Code DescriptionMUNICIPALITYMunicipality/ETJIf parcel is within the corporate limits or ETJTOWNSHIPTownshipTownship codeRESCUE_DISTTax Rescue DistrictTax rescue district that the parcel is withinFIRE_DISTTax Fire DistrictTax fire district that the parcel is withinJurisdictionTax District CodeTax District CodeNBHDNeighborhood CodeNeighborhood codeNeighborhoodNameNeighborhood NameNeighborhood code descriptionBuildingCount# BuildingsNumber of buildings within the propertyY_BLT_HOUSEYear Built HouseYear house was builtBLT_CONDOYear Built CondoYear condo was builtTOT_SQ_FTTotal Sq FootTotal square footage of structure on propertyHtdSqFtHeated Sq FootHeated square footages of structure on the propertyBldgModelBuilding ModelBuilding ModelBEDROOMS# Bedrooms# BedroomsBATHROOMS# Bathrooms# BathroomsBldgUseBuilding UseBuilding UseConditionBuilding ConditionBuilding ConditionDwellingStyleDescriptionDwelling DescriptionDwelling style descriptionExWllDes1Exterior wall 1Exterior wall type 1 descriptionExWllDes2Exterior wall 2Exterior wall type 2 descriptionExWllTyp1Exterior wall 1 codeExterior wall type 1ExWllTyp2Exterior wall 2 codeExterior wall type 2FondDes1Foundation Description Foundation type 1 descriptionFondTyp1Foundation Description CodeFoundation type 1RCovDes1Roof # 1 Covering DescriptionRoof covering type 1 descriptionRCovDes2Roof # 2 CoveringDescriptionRoof covering type 2 descriptionRCovTyp1Roof # 1 CodeRoof covering type 1RCovTyp2Roof # 2 CodeRoof covering type 2RStrDes1Roof Structure DescriptionRoof structure type 1 descriptionRStrTyp1Roof Structure CodeRoof structure type 1GradeBuilding GradeTax gradeGradeAndCDUBuilding Grade & ConditionBuilding Grade & ConditionHeatDes1Heating/Cooling TypeHeating type 1 descriptionHeatTyp1Heating/Cooling CodeHeating type 1FireplaceCountFireplacesFireplacesSTRUC_VALStructure ValueValue of structure(s) on the propertyLAND_VALUETax Land ValueValue of the land on the propertyOTHER_VALOther Structures ValueOther value of the propertyTotal_EMVTotal Estimated Market ValueTotal estimated tax valueSaleImprovedorVacantSALE_PRICEVacant or Improved SaleRecorded Sale PriceVacant of Improved SaleRecorded sale priceSaleDateRecorded Sale DateRecorded sale dateSubdivision_NameSubdivision NameSubdivision NameSubdivision_Platbk_pagSubdivision Plat Book/PakeSubdivision Plat Book and PageCommissioner_DistrictCommissioner District #Commissioner"s DistrictCommissioner_Name1Commissioner NameCommissioner"s NameCommissioner_InfoCommissioner LinkLink to Commissioner"s contact info Elementary_SchoolElementary DistrictElementary school name/districtMiddle_SchoolMiddle School DistrictMiddle School name/districtHigh_SchoolHigh School DistrictHigh school name/districtIsImprovedProperty ImprovedBuilt on = 1, Vacant = 0IsQualifiedQualified SaleQualified = 1, Not Qualified = 0Use_codeTax Use CodeLand use codeUse_descTax Use Code DescriptionLand use descriptionPerm_De1Permit # 1 DescriptionPermit #1 descriptionPerm_De2Permit # 2 DescriptionPermit #2 descriptionPerm_Is1Permit # 1 Issue DatePermit #1 issue datePerm_Is2Permit # 2 Issue DatePermit #2 issue datePerm_N1Permit # 1 NumberPermit #1Perm_N2Permit #2 NumberPermit #2Perm_Ty1Permit # 1 TypePermit #1 typePerm_Ty2Permit # 2 TypePermit #2 typeACTL_DA1Permit #1 Completion DatePermit #1 - actual completion dateACTL_DA2Permit #2 Completion DatePermit #2 - actual completion dateReviewedDateTax Office Review DateDate ReviewedNoise_lvlBogue Air Field Noise LevelNoise level zones surrounding military air basesRisk_levelBogue Landing Risk LevelRisk level for military air plane accident potential within the AICUZ zonesaicuzBogue Air Field AICUZAir Installation Compatible Use Zone - planning zones pertaining to military air bases and the surrounding real estateOBJECTIDOBJECTIDESRI default unique IDSHAPEShapeESRI default fieldSHAPE.STArea()Shape AreaESRI default fieldSHAPE.STLength()Shape PerimeterESRI default field

  8. Land Use Acres by County in Maryland

    • opendata.maryland.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Dec 4, 2024
    + more versions
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    Maryland Department of Planning (2024). Land Use Acres by County in Maryland [Dataset]. https://opendata.maryland.gov/Planning/Land-Use-Acres-by-County-in-Maryland/vha2-bqud
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    tsv, csv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Maryland Department of Planninghttps://planning.maryland.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Maryland
    Description

    Tabulates acres by land use category as of 2018 for each of Maryland’s 23 counties and Baltimore City. Derived from the Maryland Department of Planning’s 2018 Statewide Land Use Dataset (2024 Edition). Given methodology changes, this dataset is not comparable with MDP’s previous Land Use Land Cover products and should not be used to assess change over time.

  9. Parcels and Land Ownership, Mount Zion, Georgia Acreage Map, Published in...

    • data.wu.ac.at
    Updated Dec 14, 2017
    + more versions
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    NSGIC Regional | GIS Inventory (2017). Parcels and Land Ownership, Mount Zion, Georgia Acreage Map, Published in 2006, 1:12000 (1in=1000ft) scale, Chattahoochee-Flint Regional Development. [Dataset]. https://data.wu.ac.at/schema/data_gov/YTQ5NGE4MzEtMmJiNi00NTE5LWIwOGQtMjk2Y2MwYjJkNWM3
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    Dataset updated
    Dec 14, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    7c666adf607a5d0a40e0d43c84aaf22d15ed0dbd
    Description

    Parcels and Land Ownership dataset current as of 2006. Mount Zion, Georgia Acreage Map.

  10. s

    Syracuse Parcel Map (2024 Q1)

    • data.syr.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 10, 2024
    + more versions
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    admin_syr (2024). Syracuse Parcel Map (2024 Q1) [Dataset]. https://data.syr.gov/items/1f2ff0241886433ab5b0bfe706d0bea9
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    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    admin_syr
    License

    https://data.syr.gov/pages/termsofusehttps://data.syr.gov/pages/termsofuse

    Area covered
    Description

    We are also including tabular version that’s slightly more comprehensive (would include anything that didn’t join to the parcel basefile due to lot alterations or resubdivisions since 2023 and/or due to parcels comprised of condos). There are approximately 200 records that don't join to the spatial parcel file and some additional that are null in the spatial parcel file, altogether around 560 total. This Excel file can be downloaded HERE, and does not contain the latitude and longitude information.Data Dictionary:Attribute LabelDefinitionSourceTAX_IDUnique 26 character property tax identification numberOnondaga County PlanningPRINTKEYAbbreviated tax identification number (section-block-lot)Onondaga County PlanningADDRESSNUMProperty’s physical street addressOnondaga County PlanningADDRESSNAMProperty’s physical street nameOnondaga County PlanningTAX_ID_1City Tax ID number (26 digit number used for parcel mapping)City of Syracuse - AssessmentSBLProperty Tax Map Number (Section, Block, Lot)City of Syracuse - AssessmentPNUMBRProperty Number (10 digit number)City of Syracuse - AssessmentStNumParcel street numberCity of Syracuse - AssessmentStNameParcel street nameCity of Syracuse - AssessmentFullAddressStreet number and street nameCity of Syracuse - AssessmentZipParcel zip codeCity of Syracuse - Assessmentdesc_1Lot description including dimensionsCity of Syracuse - Assessmentdesc_2Lot description including dimensionsCity of Syracuse - Assessmentdesc_3Lot description including dimensionsCity of Syracuse - AssessmentSHAPE_IND City of Syracuse - AssessmentLUC_parcelNew York State property type classification code assigned by assessor during each roll categorizing the property by use. For more details: https://www.tax.ny.gov/research/property/assess/manuals/prclas.htmCity of Syracuse - AssessmentLU_parcelNew York State property type classification nameCity of Syracuse - AssessmentLUCat_OldLegacy land use category that corresponds to the overarching NYS category, i.e. all 400s = commercial, all 300s = vacant land, etc.NAland_avLand assessed valueCity of Syracuse - Assessmenttotal_avFull assessed valueCity of Syracuse - AssessmentOwnerProperty owner name (First, Initial, Last, Suffix)City of Syracuse - AssessmentAdd1_OwnPOBoxProperty owner mailing address (PO Box)City of Syracuse - AssessmentAdd2_OwnStAddProperty owner mailing address (street number, street name, street direction)City of Syracuse - AssessmentAdd3_OwnUnitInfoProperty owner mailing address unit info (unit name, unit number)City of Syracuse - AssessmentAdd4_OwnCityStateZipProperty owner mailing address (city, state or country, zip code)City of Syracuse - AssessmentFRONTFront footage for square or rectangular shaped lots and the effective front feet on irregularly shaped lots in feetCity of Syracuse - AssessmentDEPTHActual depth of rectangular shaped lots in feet (irregular lots are usually measured in acres or square feet)City of Syracuse - AssessmentACRESNumber of acres (where values were 0, acreage calculated as FRONT*DEPTH)/43560)City of Syracuse - Assessmentyr_builtYear built. Where year built was "0" or null, effective year built is given. (Effective age is determined by comparing the physical condition of one building with that of other like-use, newer buildings. Effective age may or may not represent the actual year built; if there have been constant upgrades or excellent maintenance this may be more recent than the original year built.)City of Syracuse - Assessmentn_ResUnitsNumber of residential unitsNA - Calculated fieldIPSVacantIs it a vacant structure? ("Commercial" or "Residential" = Yes; null = No)City of Syracuse - Division of Code EnforcementIPS_ConditionProperty Condition Score assigned to vacant properties by housing inspectors during routine vacant inspections (1 = Worst; 5 = Best)City of Syracuse - Division of Code EnforcementNREligibleNational Register of Historic Places Eligible ("NR Eligible (SHPO)," or "NR Listed")City of Syracuse - Neighborhood and Business DevelopmentLPSSLocally Protected Site Status ("Eligible/Architecturally Significant" or "Local Protected Site or Local District")City of Syracuse - Neighborhood and Business DevelopmentWTR_ACTIVEWater activity code ("I" = Inactive; "A" = Active)City of Syracuse - WaterRNIIs property located in Resurgent Neighborhood Initiative (RNI) Area? (1 = Yes; 0 = No)City of Syracuse - Neighborhood and Business DevelopmentDPW_QuadGeographic quadrant property is located in. Quadrants are divided Northwest, Northeast, Southwest, and Southeast based on property location in relation to I-81 and I-690. DPW uses the quad designation for some types of staff assignments.City of Syracuse - Department of Public WorksTNT_NAMETNT Sector property is located inCity of Syracuse - Neighborhood and Business DevelopmentNHOODCity NeighborhoodSyracuse-Onondaga County Planning Agency (SOCPA)NRSAIs property located in Neighborhood Revitalization Strategy Area (NRSA)? (1 = Yes; 0 = No)City of Syracuse - Neighborhood and Business DevelopmentDOCE_AreaGeographic boundary use to assign Division of Code Enforcement casesCity of Syracuse - Neighborhood and Business DevelopmentZONE_DIST_PREVFormer zoning district codeSyracuse-Onondaga County Planning Agency (SOCPA)REZONEReZone designation (adopted June 2023)City of Syracuse - Neighborhood and Business DevelopmentNew_CC_DISTCurrent Common Council District property is located inOnondaga County Board of ElectionsCTID_2020Census Tract ID (2020)U.S. Census BureauCTLAB_2020Census Tract Label (2020)U.S. Census BureauCT_2020Census Tract (2020)U.S. Census BureauSpecNhoodIs property located in a special Neighborhood historic preservation district? (1 = Yes; 0 or null = No)Syracuse-Onondaga County Planning Agency (SOCPA)InPDIs property located in preservation district? (1 = Yes; 0 or null = No)Syracuse-Onondaga County Planning Agency (SOCPA)PDNAMEPreservation District nameSyracuse-Onondaga County Planning Agency (SOCPA)ELECT_DISTElection district numberOnondaga County Board of ElectionsCITY_WARDCity ward numberOnondaga County Board of ElectionsCOUNTY_LEGOnondaga County Legislative District number (as of Dec 2022)Onondaga County Board of ElectionsNYS_ASSEMBNew York State Assembly District number (as of Dec 2022)Onondaga County Board of ElectionsNYS_SENATENew York State Senate District number (as of Dec 2022)Onondaga County Board of ElectionsUS_CONGRUnited States Congressional District numberOnondaga County Board of Elections

  11. l

    Parcel Points File Geodatabase

    • maps.leegov.com
    • hub.arcgis.com
    • +1more
    Updated Aug 15, 2022
    + more versions
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    Lee County Florida GIS (2022). Parcel Points File Geodatabase [Dataset]. https://maps.leegov.com/datasets/159f598c465a4cb7a7a7ba419668869f
    Explore at:
    Dataset updated
    Aug 15, 2022
    Dataset authored and provided by
    Lee County Florida GIS
    Description

    Parcels and property data maintained and provided by Lee County Property Appraiser are converted to points. Property attribute data joined to parcel GIS layer by Lee County Government GIS. This dataset is generally used in spatial analysis.Process description: Parcel polygons, condominium points and property data provided by the Lee County Property Appraiser are processed by Lee County's GIS Department using the following steps:Join property data to parcel polygons Join property data to condo pointsConvert parcel polygons to points using ESRI's ArcGIS tool "Feature to Point" and designate the "Source" field "P".Load Condominium points into this layer and designate the "Source" field "C". Add X/Y coordinates in Florida State Plane West, NAD 83, feet using the "Add X/Y" tool.Projected coordinate system name: NAD_1983_StatePlane_Florida_West_FIPS_0902_FeetGeographic coordinate system name: GCS_North_American_1983

     Name
     Type
     Length
     Description
    
    
     STRAP
     String
     25
     17-digit Property ID (Section, Township, Range, Area, Block, Lot)
    
    
     BLOCK
     String
     10
     5-digit portion of STRAP (positions 9-13)
    
    
     LOT
     String
     8
     Last 4-digits of STRAP
    
    
     FOLIOID
     Double
     8
     Unique Property ID
    
    
     MAINTDATE
     Date
     8
     Date LeePA staff updated record
    
    
     MAINTWHO
     String
     20
     LeePA staff who updated record
    
    
     UPDATED
     Date
     8
     Data compilation date
    
    
     HIDE_STRAP
     String
     1
     Confidential parcel ownership
    
    
     TRSPARCEL
     String
     17
     Parcel ID sorted by Township, Range & Section
    
    
     DORCODE
     String
     2
     Department of Revenue. See https://leepa.org/Docs/Codes/DOR_Code_List.pdf
    
    
     CONDOTYPE
     String
     1
     Type of condominium: C (commercial) or R (residential)
    
    
     UNITOFMEAS
     String
     2
     Type of Unit of Measure (ex: AC=acre, LT=lot, FF=frontage in feet)
    
    
     NUMUNITS
     Double
     8
     Number of Land Units (units defined in UNITOFMEAS)
    
    
     FRONTAGE
     Integer
     4
     Road Frontage in Feet
    
    
     DEPTH
     Integer
     4
     Property Depth in Feet
    
    
     GISACRES
     Double
     8
     Total Computed Acres from GIS
    
    
     TAXINGDIST
     String
     3
     Taxing District of Property
    
    
     TAXDISTDES
     String
     60
     Taxing District Description
    
    
     FIREDIST
     String
     3
     Fire District of Property
    
    
     FIREDISTDE
     String
     60
     Fire District Description
    
    
     ZONING
     String
     10
     Zoning of Property
    
    
     ZONINGAREA
     String
     3
     Governing Area for Zoning
    
    
     LANDUSECOD
     SmallInteger
     2
     Land Use Code
    
    
     LANDUSEDES
     String
     60
     Land Use Description
    
    
     LANDISON
     String
     5
     BAY,CANAL,CREEK,GULF,LAKE,RIVER & GOLF
    
    
     SITEADDR
     String
     55
     Lee County Addressing/E911
    
    
     SITENUMBER
     String
     10
     Property Location - Street Number
    
    
     SITESTREET
     String
     40
     Street Name
    
    
     SITEUNIT
     String
     5
     Unit Number
    
    
     SITECITY
     String
     20
     City
    
    
     SITEZIP
     String
     5
     Zip Code
    
    
     JUST
     Double
     8
     Market Value
    
    
     ASSESSED
     Double
     8
     Building Value + Land Value
    
    
     TAXABLE
     Double
     8
     Taxable Value
    
    
     LAND
     Double
     8
     Land Value
    
    
     BUILDING
     Double
     8
     Building Value
    
    
     LXFV
     Double
     8
     Land Extra Feature Value
    
    
     BXFV
     Double
     8
     Building Extra Feature value
    
    
     NEWBUILT
     Double
     8
     New Construction Value
    
    
     AGAMOUNT
     Double
     8
     Agriculture Exemption Value
    
    
     DISAMOUNT
     Double
     8
     Disability Exemption Value
    
    
     HISTAMOUNT
     Double
     8
     Historical Exemption Value
    
    
     HSTDAMOUNT
     Double
     8
     Homestead Exemption Value
    
    
     SNRAMOUNT
     Double
     8
     Senior Exemption Value
    
    
     WHLYAMOUNT
     Double
     8
     Wholly Exemption Value
    
    
     WIDAMOUNT
     Double
     8
     Widow Exemption Value
    
    
     WIDRAMOUNT
     Double
     8
     Widower Exemption Value
    
    
     BLDGCOUNT
     SmallInteger
     2
     Total Number of Buildings on Parcel
    
    
     MINBUILTY
     SmallInteger
     2
     Oldest Building Built
    
    
     MAXBUILTY
     SmallInteger
     2
     Newest Building Built
    
    
     TOTALAREA
     Double
     8
     Total Building Area
    
    
     HEATEDAREA
     Double
     8
     Total Heated Area
    
    
     MAXSTORIES
     Double
     8
     Tallest Building on Parcel
    
    
     BEDROOMS
     Integer
     4
     Total Number of Bedrooms
    
    
     BATHROOMS
     Double
     8
     Total Number of Bathrooms / Not For Comm
    
    
     GARAGE
     String
     1
     Garage on Property 'Y'
    
    
     CARPORT
     String
     1
     Carport on Property 'Y'
    
    
     POOL
     String
     1
     Pool on Property 'Y'
    
    
     BOATDOCK
     String
     1
     Boat Dock on Property 'Y'
    
    
     SEAWALL
     String
     1
     Sea Wall on Property 'Y'
    
    
     NBLDGCOUNT
     SmallInteger
     2
     Total Number of New Buildings on ParcelTotal Number of New Buildings on Parcel
    
    
     NMINBUILTY
     SmallInteger
     2
     Oldest New Building Built
    
    
     NMAXBUILTY
     SmallInteger
     2
     Newest New Building Built
    
    
     NTOTALAREA
     Double
     8
     Total New Building Area
    
    
     NHEATEDARE
     Double
     8
     Total New Heated Area
    
    
     NMAXSTORIE
     Double
     8
     Tallest New Building on Parcel
    
    
     NBEDROOMS
     Integer
     4
     Total Number of New Bedrooms
    
    
     NBATHROOMS
     Double
     8
     Total Number of New Bathrooms/Not For Comm
    
    
     NGARAGE
     String
     1
     New Garage on Property 'Y'
    
    
     NCARPORT
     String
     1
     New Carport on Property 'Y'
    
    
     NPOOL
     String
     1
     New Pool on Property 'Y'
    
    
     NBOATDOCK
     String
     1
     New Boat Dock on Property 'Y'
    
    
     NSEAWALL
     String
     1
     New Sea Wall on Property 'Y'
    
    
     O_NAME
     String
     30
     Owner Name
    
    
     O_OTHERS
     String
     120
     Other Owners
    
    
     O_CAREOF
     String
     30
     In Care Of Line
    
    
     O_ADDR1
     String
     30
     Owner Mailing Address Line 1
    
    
     O_ADDR2
     String
     30
     Owner Mailing Address Line 2
    
    
     O_CITY
     String
     30
     Owner Mailing City
    
    
     O_STATE
     String
     2
     Owner Mailing State
    
    
     O_ZIP
     String
     9
     Owner Mailing Zip
    
    
     O_COUNTRY
     String
     30
     Owner Mailing Country
    
    
     S_1DATE
     Date
     8
     Most Current Sale Date > $100.00
    
    
     S_1AMOUNT
     Double
     8
     Sale Amount
    
    
     S_1VI
     String
     1
     Sale Vacant or Improved
    
    
     S_1TC
     String
     2
     Sale Transaction Code
    
    
     S_1TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_1OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_2DATE
     Date
     8
     Previous Sale Date > $100.00
    
    
     S_2AMOUNT
     Double
     8
     Sale Amount
    
    
     S_2VI
     String
     1
     Sale Vacant or Improved
    
    
     S_2TC
     String
     2
     Sale Transaction Code
    
    
     S_2TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_2OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_3DATE
     Date
     8
     Next Previous Sale Date > $100.00
    
    
     S_3AMOUNT
     Double
     8
     Sale Amount
    
    
     S_3VI
     String
     1
     Sale Vacant or Improved
    
    
     S_3TC
     String
     2
     Sale Transaction Code
    
    
     S_3TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_3OR_NUM
     String
     13
     Original Record (Lee County Clerk)
    
    
     S_4DATE
     Date
     8
     Next Previous Sale Date > $100.00
    
    
     S_4AMOUNT
     Double
     8
     Sale Amount
    
    
     S_4VI
     String
     1
     Sale Vacant or Improved
    
    
     S_4TC
     String
     2
     Sale Transaction Code
    
    
     S_4TOC
     String
     2
     Sale Transaction Override Code
    
    
     S_4OR_NUM
     String
     13
    
  12. d

    Conservation Reserve Program Acreage by County

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Conservation Reserve Program Acreage by County [Dataset]. https://catalog.data.gov/dataset/conservation-reserve-program-acreage-by-county
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    This dataset contains information regarding the acreages of land currently (as of 2004) enrolled in the Conservation Reserve Program (CRP) distributed by county and the year the CRP contract was initiated (1987-2004, excluding 1994 and 1995). Additionally, it contains total acreages of land enrolled in the CRP distributed by county and the contract year (1987-2003). USDA Farm Service Agency's (FSA) Conservation Reserve Program (CRP) is a voluntary program available to agricultural producers to help them safeguard environmentally sensitive land. Producers enrolled in CRP plant long-term, resource-conserving covers to improve the quality of water, control soil erosion, and enhance wildlife habitat. In return, FSA provides participants with rental payments and cost-share assistance. Contract duration is between 10 and 15 years. Acreage enrolled in the CRP is planted to resource-conserving vegetative covers, making the program a major contributor to increased wildlife populations in many parts of the country. These spatial data were created by cross-referencing a base map of counties in the western U.S. with tabular data provided by: (1) Data in the columns labeled by year indicate the "Total All Practices" acreage entered into active CRP contracts in that county in that year. (2) Information requested under the Freedom of Information Act (USDA Case#2004-180) Although the CRP Program continues, and new lands are entered into contracts and some contracted lands expire, this map is static as of the publication date because it was created for a specific analysis. A user could update this dataset by editing the attribute table with new data as it is produced.

  13. a

    Farmland - SCAG Region

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.scag.ca.gov
    • +1more
    Updated Mar 12, 2021
    + more versions
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    rdpgisadmin (2021). Farmland - SCAG Region [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/0ada8cb3198c4cb6a80cb093663e2818
    Explore at:
    Dataset updated
    Mar 12, 2021
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    Farmland information was obtained from the Farmland Mapping & Monitoring Program (FMMP) in the Division of Land Resource Protection in the California Department of Conservation. Established in 1982, the FMMP is to provide consistent and impartial data and analysis of agricultural land use and land use changes throughout the State of California. The study area is in accordance to the soil survey developed by NRCS (National Resources Conservation Service) in the United States Department of Agriculture. Important Farmland Map is biennially updated based on a computer mapping system, aerial imagery, public review, and field interpretation. NOTES: This data was reviewed by local jurisdictions and reflects each jurisdiction's input received during the SCAG's 2020 RTP/SCS Local Input and Envisioning Process.The updated Farmland categories are contained in 'polygon_ty' field. For more information, refer to the website at http://www.conservation.ca.gov/dlrp/fmmp/Pages/Index.aspx.PRIME FARMLAND (P)Farmland with the best combination of physical and chemical features able to sustain long term agricultural production. This land has the soil quality, growing season, and moisture supply needed to produce sustained high yields. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date.FARMLAND OF STATEWIDE IMPORTANCE (S)Farmland similar to Prime Farmland but with minor shortcomings, such as greater slopes or less ability to store soil moisture. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date.UNIQUE FARMLAND (U)Farmland of lesser quality soils used for the production of the state's leading agricultural crops. This land is usually irrigated, but may include non-irrigated orchards or vineyards as found in some climatic zones in California. Land must have been cropped at some time during the four years prior to the mapping date.FARMLAND OF LOCAL IMPORTANCE (L) Land of importance to the local agricultural economy as determined by each county's board of supervisors and a local advisory committee. GRAZING LAND (G)Land on which the existing vegetation is suited to the grazing of livestock. This category was developed in cooperation with the California Cattlemen's Association, University of California Cooperative Extension, and other groups interested in the extent of grazing activities. The minimum mapping unit for Grazing Land is 40 acres.URBAN AND BUILT-UP LAND (D)Land occupied by structures with a building density of at least 1 unit to 1.5 acres, or approximately 6 structures to a 10-acre parcel. This land is used for residential, industrial, commercial, institutional, public administrative purposes, railroad and other transportation yards, cemeteries, airports, golf courses, sanitary landfills, sewage treatment, water control structures, and other developed purposes.OTHER LAND (X)Land not included in any other mapping category. Common examples include low density rural developments; brush, timber, wetland, and riparian areas not suitable for livestock grazing; confined livestock, poultry or aquaculture facilities; strip mines, borrow pits; and water bodies smaller than 40 acres. Vacant and nonagricultural land surrounded on all sides by urban development and greater than 40 acres is mapped as Other Land.The Rural Land Mapping Project provides more detail on the distribution of various land uses within the Other Land category. The Rural Land categories include:Rural Residential Land (R), Semi-Agricultural and Rural Commercial Land (sAC), Vacant or Disturbed Land (V), Confined Animal Agriculture (Cl), and Nonagricultural or Natural Vegetation (nv).WATER (W)Perennial water bodies with an extent of at least 40 acres.NOT SURVEYED (Z)Large government land holdings, including National Parks, Forests, and Bureau of Land Management holdings are not included in FMMP’s survey area.

  14. s

    Syracuse Parcel Map (2024 Q3)

    • data.syr.gov
    • data-syr.opendata.arcgis.com
    • +1more
    Updated Aug 26, 2024
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    admin_syr (2024). Syracuse Parcel Map (2024 Q3) [Dataset]. https://data.syr.gov/datasets/d68de5fb5df14a86829980a195ff7a6c
    Explore at:
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    admin_syr
    Area covered
    Description

    We are also including a tabular version that’s slightly more comprehensive (would include anything that didn’t join to the parcel basefile due to lot alterations or resubdivisions since 2023 and/or due to parcels comprised of condos). This Excel file can be downloaded HERE, and does not contain the latitude and longitude information.Data Dictionary: Attribute Label Definition Source

    TAX_ID Unique 26 character property tax identification number Onondaga County Planning

    PRINTKEY Abbreviated tax identification number (section-block-lot) Onondaga County Planning

    ADDRESSNUM Property’s physical street address Onondaga County Planning

    ADDRESSNAM Property’s physical street name Onondaga County Planning

    LAT Latitude Onondaga County Planning

    LONG Longitude Onondaga County Planning

    TAX_ID_1 City Tax ID number (26 digit number used for parcel mapping) City of Syracuse - Assessment

    SBL Property Tax Map Number (Section, Block, Lot) City of Syracuse - Assessment

    PNUMBR Property Number (10 digit number) City of Syracuse - Assessment

    StNum Parcel street number City of Syracuse - Assessment

    StName Parcel street name City of Syracuse - Assessment

    FullAddress Street number and street name City of Syracuse - Assessment

    Zip Parcel zip code City of Syracuse - Assessment

    desc_1 Lot description including dimensions City of Syracuse - Assessment

    desc_2 Lot description including dimensions City of Syracuse - Assessment

    desc_3 Lot description including dimensions City of Syracuse - Assessment

    SHAPE_IND

    City of Syracuse - Assessment

    LUC_parcel New York State property type classification code assigned by assessor during each roll categorizing the property by use. For more details: https://www.tax.ny.gov/research/property/assess/manuals/prclas.htm City of Syracuse - Assessment

    LU_parcel New York State property type classification name City of Syracuse - Assessment

    LUCat_Old Legacy land use category that corresponds to the overarching NYS category, i.e. all 400s = commercial, all 300s = vacant land, etc. NA

    land_av Land assessed value City of Syracuse - Assessment

    total_av Full assessed value City of Syracuse - Assessment

    Owner Property owner name (First, Initial, Last, Suffix) City of Syracuse - Assessment

    Add1_OwnPOBox Property owner mailing address (PO Box) City of Syracuse - Assessment

    Add2_OwnStAdd Property owner mailing address (street number, street name, street direction) City of Syracuse - Assessment

    Add3_OwnUnitInfo Property owner mailing address unit info (unit name, unit number) City of Syracuse - Assessment

    Add4_OwnCityStateZip Property owner mailing address (city, state or country, zip code) City of Syracuse - Assessment

    FRONT Front footage for square or rectangular shaped lots and the effective front feet on irregularly shaped lots in feet City of Syracuse - Assessment

    DEPTH Actual depth of rectangular shaped lots in feet (irregular lots are usually measured in acres or square feet) City of Syracuse - Assessment

    ACRES Number of acres (where values were 0, acreage calculated as FRONT*DEPTH)/43560) City of Syracuse - Assessment

    yr_built Year built. Where year built was "0" or null, effective year built is given. (Effective age is determined by comparing the physical condition of one building with that of other like-use, newer buildings. Effective age may or may not represent the actual year built; if there have been constant upgrades or excellent maintenance this may be more recent than the original year built.) City of Syracuse - Assessment

    n_ResUnits Number of residential units NA - Calculated field

    IPSVacant Is it a vacant structure? ("Commercial" or "Residential" = Yes; null = No) City of Syracuse - Division of Code Enforcement

    IPS_Condition Property Condition Score assigned to vacant properties by housing inspectors during routine vacant inspections (1 = Worst; 5 = Best) City of Syracuse - Division of Code Enforcement

    NREligible National Register of Historic Places Eligible ("NR Eligible (SHPO)," or "NR Listed") City of Syracuse - Neighborhood and Business Development

    LPSS Locally Protected Site Status ("Eligible/Architecturally Significant" or "Local Protected Site or Local District") City of Syracuse - Neighborhood and Business Development

    WTR_ACTIVE Water activity code ("I" = Inactive; "A" = Active) City of Syracuse - Water

    RNI Is property located in Resurgent Neighborhood Initiative (RNI) Area? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development

    DPW_Quad Geographic quadrant property is located in. Quadrants are divided Northwest, Northeast, Southwest, and Southeast based on property location in relation to I-81 and I-690. DPW uses the quad designation for some types of staff assignments. City of Syracuse - Department of Public Works

    TNT_NAME TNT Sector property is located in City of Syracuse - Neighborhood and Business Development

    NHOOD City Neighborhood Syracuse-Onondaga County Planning Agency (SOCPA)

    NRSA Is property located in Neighborhood Revitilization Strategy Area (NRSA)? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development

    DOCE_Area Geographic boundary use to assign Division of Code Enforcement cases City of Syracuse - Neighborhood and Business Development

    ZONE_DIST_PREV Former zoning district code Syracuse-Onondaga County Planning Agency (SOCPA)

    REZONE ReZone designation (adopted June 2023) City of Syracuse - Neighborhood and Business Development

    New_CC_DIST Current Common Council District property is located in Onondaga County Board of Elections

    CTID_2020 Census Tract ID (2020) U.S. Census Bureau

    CTLAB_2020 Census Tract Label (2020) U.S. Census Bureau

    CT_2020 Census Tract (2020) U.S. Census Bureau

    SpecNhood Is property located in a special Neighborhood historic preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)

    InPD Is property located in preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)

    PDNAME Preservation District name Syracuse-Onondaga County Planning Agency (SOCPA)

    ELECT_DIST Election district number Onondaga County Board of Elections

    CITY_WARD City ward number Onondaga County Board of Elections

    COUNTY_LEG Onondaga County Legislative District number (as of Dec 2022) Onondaga County Board of Elections

    NYS_ASSEMB New York State Assembly District number (as of Dec 2022) Onondaga County Board of Elections

    NYS_SENATE New York State Senate District number (as of Dec 2022) Onondaga County Board of Elections

    US_CONGR United States Congressional District number Onondaga County Board of Elections

    Dataset Contact InformationOrganization: Neighborhood & Business DevelopmentPosition:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.netPlease note there is a data quality issue in this iteration with the preservation district (“InPD,” “PDNAME”) and special neighborhood historic district (“SpecNhood”) fields erroneously showing null results for all parcels.

  15. Digital Property Maps

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Jan 9, 2025
    + more versions
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    Government of New Brunswick (2025). Digital Property Maps [Dataset]. https://open.canada.ca/data/en/dataset/56f75efc-3681-34ce-6440-c2c8a8457332
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of New Brunswickhttps://www.gnb.ca/
    License

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

    Description

    Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel.

  16. d

    Public Land Survey System Quarter Sections (Feature Layer)

    • catalog.data.gov
    • datasets.ai
    • +6more
    Updated May 8, 2025
    + more versions
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    U.S. Forest Service (2025). Public Land Survey System Quarter Sections (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/public-land-survey-system-quarter-sections-feature-layer-e14be
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    Dataset updated
    May 8, 2025
    Dataset provided by
    U.S. Forest Service
    Description

    This Quarter Section feature class depicts PLSS Second Divisions . PLSS townships are subdivided in a spatial hierarchy of first, second, and third division. These divisions are typically aliquot parts ranging in size from 640 acres to 160 to 40 acres, and subsequently all the way down to 2.5 acres. The data in this feature class was translated from the PLSSSecondDiv feature class in the original production data model, which defined the second division for a specific parcel of land. Metadata

  17. m

    Maryland Land Use 2018 - Land Use

    • data.imap.maryland.gov
    Updated Feb 5, 2025
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    ArcGIS Online for Maryland (2025). Maryland Land Use 2018 - Land Use [Dataset]. https://data.imap.maryland.gov/datasets/maryland-land-use-2018-land-use/about
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    The map was developed using available parcel polygons attributed with tax assessment data as of project initiation in early 2020, Computer-Assisted Mass Appraisal (CAMA) data dated February 2020, and the Chesapeake Bay Program’s 2017/18 Land Use Land Cover data (2022 edition), subsequently referred to as “CBP LULC.” The map also incorporates land use datasets provided by county and municipal jurisdictions to the extent possible while maintaining standard statewide classification definitions and rules. The product was developed to be consistent with the 2018 National Agriculture Imagery Program (NAIP) imagery and CBP LULC dataset. MDP’s draft updated land use classification scheme is available as a separate document. This product is a beta release for public use and further testing. Methods for developing subsequent releases beyond this 2018 baseline will be refined based on feedback from the user community. Urban Land Uses 11 Low-density residential - Detached single-family/duplex dwelling units, yards, and associated areas. Includes generalized areas with lot sizes of less than five acres but at least one-half acre (0.2 to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex, attached single-unit row housing, yards, and associated areas Includes generalized areas with lot sizes of less than one-half acre but at least one-eighth acre (2 to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing, garden apartments, high-rise apartments/condominiums, mobile home and trailer parks, yards, and associated areas. Includes generalized areas with more than eight dwelling units per acre. This may include subsidized housing. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services, including associated yards and parking areas. This category may include airports, welcome houses, telecommunication towers, and boat marinas. 15 Industrial - Manufacturing and industrial parks, including associated warehouses, storage yards, research laboratories, and parking areas. Warehouses that are returned by a commercial query should be categorized as industrial. This also includes power plants. 16 Institutional - Elementary and secondary schools, middle schools, junior and senior high schools, public and private colleges and universities, military installations (built-up areas only, including buildings and storage, training, and similar areas), churches, medical and health facilities, correctional facilities, government offices and facilities that are clearly separable from any surrounding natural or agricultural land cover, and other non-profit uses. 17 Extractive - Surface mining operations, including sand and gravel pits, quarries, coal surface mines, and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Includes parks, open spaces, recreational areas not classified as institutional, golf courses, and cemeteries. Includes only built-up and turf-dominated areas that are clearly separable from any surrounding natural or agricultural land cover. 190 – Very Low Density Residential – Clustered residential parcels that have lot sizes less than 20 acres but at least five acres (0.2 to 0.05 dwelling units/acre) 50 – Water 80 Transportation - Transportation features include impervious roads, roadway rights-of-way, and parcels primarily containing light rail or metro stations and park-and-ride lots. 99 – Other Land - Remaining land not covered under another category. Examples include but are not limited to unbuilt lots, rural land, single-family residential parcels greater than or equal to 20 acres in size, and undeveloped portions of large parcels containing urban uses. May include undeveloped land that is either developable or constrained from further development.Note: Urban Land Use classifications encompass the entire parcel on parcels less than five acres that contain a structure as of 2018 based on the Maryland Department of Planning and Maryland State Department of Assessment and Taxation’s Computer-Assisted Mass Appraisal (CAMA) Building dataset. Elsewhere, the Chesapeake Bay Program’s 2017/18 Land Use Land Cover dataset (2022 edition) is used to delineate the extent of development on a parcel. For more information, see Methodology Documentation.Feature Service Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_LandUse/MapServer/1This copy has been projected to "WGS 1984 Web Mercator (auxiliary sphere)" and, therefore, is for illustrative purposes only. To use the data for geospatial analysis or area calculations, please download the copy projected to "NAD_1983 StatePlane Maryland FIPS 1900" from MDP's website at https://planning.maryland.gov/pages/ourproducts/downloadfiles.aspx.

  18. t

    Mapped Planned Land Use - Open Data

    • gisdata.tucsonaz.gov
    • hub.arcgis.com
    Updated Aug 2, 2018
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    Mapped Planned Land Use - Open Data [Dataset]. https://gisdata.tucsonaz.gov/datasets/mapped-planned-land-use-open-data/data
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    Dataset updated
    Aug 2, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Status: COMPLETED 2010. The data was converted from the most recent (2010) versions of the adopted plans, which can be found at https://cms3.tucsonaz.gov/planning/plans/ Supplemental Information: In March 2010, Pima Association of Governments (PAG), in cooperation with the City of Tucson (City), initiated the Planned Land Use Data Conversion Project. This 9-month effort involved evaluating mapped land use designations and selected spatially explicit policies for nearly 50 of the City's adopted neighborhood, area, and subregional plans and converting the information into a Geographic Information System (GIS) format. Further documentation for this file can be obtained from the City of Tucson Planning and Development Services Department or Pima Association of Governments Technical Services. A brief summary report was provided, as requested, to the City of Tucson which highlights some of the key issues found during the conversion process (e.g., lack of mapping and terminology consistency among plans). The feature class "Plan_boundaries" represents the boundaries of the adopted plans. The feature class "Plan_mapped_land_use" represents the land use designations as they are mapped in the adopted plans. Some information was gathered that is implicit based on the land use designation or zones (see field descriptions below). Since this information is not explicitly stated in the plans, it should only be viewed by City staff for general planning purposes. The feature class "Plan_selected_policies" represents the spatially explicit policies that were fairly straightforward to map. Since these policies are not represented in adopted maps, this feature class should only be viewed by City staff for general planning purposes only. 2010 - created by Jamison Brown, working as an independent contractor for Pima Association of Governments, created this file in 2010 by digitizing boundaries as depicted (i.e. for the mapped land use) or described in the plans (i.e. for the narrative policies). In most cases, this involved tracing based on parcel (paregion) or street center line (stnetall) feature classes. Snapping was used to provide line coincidence. For some map conversions, freehand sketches were drawn to mimick the freehand sketches in the adopted plan. Field descriptions for the "Plan_mapped_land_use" feature class: Plan_Name: Plan name Plan_Type: Plan type (e.g., Neighborhood Plan) Plan_Num: Plan number LU_DES: Land use designation (e.g., Low density residential) LISTED_ALLOWABLE_ZONES: Allowable zones as listed in the Plan LISTED_RAC_MIN: Minimum residences per acre (if applicable), as listed in the Plan LISTED_RAC_TARGET: Target residences per acre (if applicable), as listed in the Plan LISTED_RAC_MAX: Maximum residences per acre (if applicable), as listed in the Plan LISTED_FAR_MIN: Minimum Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_TARGET: Target Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_MAX: Maximum Floor Area Ratio (if applicable), as listed in the Plan BUILDING_HEIGHT_MAX Building height maximum (ft.) if determined by Plan policy IMPORTANT: A disclaimer about the data as it is unofficial. URL: Uniform Resource Locator IMPLIED_ALLOWABLE_ZONES: Implied (not listed in the Plan) allowable zones IMPLIED_RAC_MIN: Implied (not listed in the Plan) minimum residences per acre (if applicable) IMPLIED_RAC_TARGET: Implied (not listed in the Plan) target residences per acre (if applicable) IMPLIED_RAC_MAX: Implied (not listed in the Plan) maximum residences per acre (if applicable) IMPLIED_FAR_MIN: Implied (not listed in the Plan) minimum Floor Area Ratio (if applicable) IMPLIED_FAR_TARGET: Implied (not listed in the Plan) target Floor Area Ratio (if applicable) IMPLIED_FAR_MAX: Implied (not listed in the Plan) maximum Floor Area Ratio (if applicable) IMPLIED_LU_CATEGORY: Implied (not listed in the Plan) general land use category. General categories used include residential, office, commercial, industrial, and other.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactJohn BeallCity of Tucson Development Services520-791-5550John.Beall@tucsonaz.govUpdate FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

  19. USA Bureau of Land Management Lands

    • colorado-river-portal.usgs.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 14, 2018
    + more versions
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    Esri (2018). USA Bureau of Land Management Lands [Dataset]. https://colorado-river-portal.usgs.gov/datasets/eb2c541a2ce24627a497e0f5887ff13d
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    One-eighth of the United States (247.3 million acres) is managed by the Bureau of Land Management. As part of the Department of the Interior, the agency oversees the 30 million acre National Landscape Conservation System, a collection of lands that includes 221 wilderness areas, 23 national monuments and 636 other protected areas. Bureau of Land Management Lands contain over 63,000 oil and gas wells and provide forage for over 18,000 grazing permit holders on 155 million acres of land. Dataset SummaryPhenomenon Mapped: United States lands managed by the Bureau of Land ManagementGeographic Extent: Contiguous United States and AlaskaData Coordinate System: WGS 1984Visible Scale: The data is visible at all scales but draws best at scales larger than 1:2,000,000.Source: BLM Surface Management Agency layer, Rasterized by Esri from features May 2025.Publication Date: December 2024This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Bureau of Land Management lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer?This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "bureau of land management" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "bureau of land management" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  20. 30x30 Conserved Areas, Terrestrial (2023)

    • data.ca.gov
    • data.cnra.ca.gov
    • +6more
    Updated Aug 1, 2024
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    California Natural Resources Agency (2024). 30x30 Conserved Areas, Terrestrial (2023) [Dataset]. https://data.ca.gov/dataset/30x30-conserved-areas-terrestrial-2023
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    html, csv, arcgis geoservices rest api, zip, geojson, kmlAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    California Natural Resources Agencyhttps://resources.ca.gov/
    License

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

    Description

    The Terrestrial 30x30 Conserved Areas map layer was developed by the CA Nature working group, providing a statewide perspective on areas managed for the protection or enhancement of biodiversity. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.

    Terrestrial and Freshwater Data
    • The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or small group of parcels which comprise the spatial features of CPAD, generally corresponding to ownership boundaries.

    • The California Conservation Easement Database (CCED), managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity.
    Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership.

    •The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such,
    boundaries represented within it may not align with other data sources.

    Numerous datasets representing designated boundaries for entities such as
    National Parks and Monuments, Wild and Scenic Rivers, Wilderness Areas,
    and others, were downloaded from publicly available sources, typically
    hosted by the managing agency.

    Methodology
    1.CPAD and CCED represent the most accurate location and ownership information for
    parcels in California which contribute to the preservation of open space
    and cultural and biological resources.

    2. Superunits are collections of parcels (Holdings) within CPAD which share a name,
    manager, and access policy. Most Superunits are also managed with a
    generally consistent strategy for biodiversity conservation. Examples of
    Superunits include Yosemite National Park, Giant Sequoia National
    Monument, and Anza-Borrego Desert State Park.

    3. Some Superunits, such as those owned and managed by the Bureau of Land
    Management, U.S. Forest Service, or National Park Service , are
    intersected by one or more designations, each of which may have a
    distinct management emphasis with regards to biodiversity. Examples of
    such designations are Wilderness Areas, Wild and Scenic Rivers, or
    National Monuments.

    4. CPAD Superunits and CCED easements were
    intersected with all designation boundary files to create the operative
    spatial units for conservation analysis, henceforth 'Conservation
    Units,' which make up the Terrestrial 30x30 Conserved Areas map layer. Each easement was functionally considered to be a Superunit.

    5. Each Conservation Unit was intersected with the PAD-US dataset in order to
    determine the management emphasis with respect to biodiversity, i.e.,
    the GAP code. Because PAD-US is national in scope and not specifically
    parcel aligned with California assessors' surveys, a direct spatial
    extraction of GAP codes from PAD-US would leave tens of thousands of GAP
    code data slivers within the 30x30 Conserved Areas map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single
    GAP code was uniformly assigned that code. Additionally, the total area
    of GAP codes 1 and 2 were summed for the remaining uncoded Conservation
    Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2.

    6.Subsequent to this stage of analysis, certain Conservation Units remained uncoded,
    either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset.

    7.These uncoded Conservation Units were then broken down into their
    constituent, finer resolution Holdings, which were then analyzed
    according to the above workflow.

    8. Areas remaining uncoded following the two-step process of coding at the Superunit and
    then Holding levels were assigned a GAP code of 4. This is consistent
    with the definition of GAP Code 4: areas unknown to have a biodiversity
    management focus.

    9. Greater than 90% of all areas in the Terrestrial 30x30 Conserved
    Areas map layer were GAP coded at the level of CPAD Superunits intersected by designation boundaries, the coarsest land units of analysis. By adopting these coarser analytical units, the Terrestrial 30X30 Conserved Areas map layer avoids hundreds of thousands of spatial slivers that result from intersecting designations with smaller, more numerous parcel records. In most cases, individual parcels reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.

    10. PAD-US is a principal data source for understanding the spatial distribution of GAP coded lands, but it is national in scope, and may not always be the most current source of data with respect to California holdings. GreenInfo Network, which develops and maintains the CPAD and CCED datasets, has taken a lead role in establishing communication with land stewards across California in order to make GAP attribution of these lands as current and accurate as possible. The tabular attribution of these datasets is analyzed in addition to PAD-US in order to understand whether a holding may be considered conserved.

    Tracking Conserved Areas
    The total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing
    improvements in our understanding of existing biodiversity conservation
    efforts. The California Nature Project is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to investigate how their lands are represented in the Terrestrial 30X30 Conserved Areas Map Layer. This can be accomplished by using the Conserved Areas Explorer web application, developed by the CA Nature working group. Users can zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data.

    CPAD, CCED, and PAD-US are built from the ground up. Data is derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Terrestrial 30X30 Conserved Areas map layer, please use this link to initiate a review.The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.

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City of Friendswood - GIS (2025). Zoning, FLUM, & Undeveloped Land Acreage [Dataset]. https://city-of-friendswood-mapping-home-page-fwd.hub.arcgis.com/datasets/zoning-flum-undeveloped-land-acreage

Zoning, FLUM, & Undeveloped Land Acreage

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Dataset updated
Mar 6, 2025
Dataset authored and provided by
City of Friendswood - GIS
Description

Comprehensive app to show three separate dashboards for zoning, future land use map, and undeveloped land. Apps: Zoning by Parcels DashboardUndeveloped Land DashboardFLUM by Parcels Dashboard

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