description: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.; abstract: Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.

This dataset was updated April, 2024.

This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.

Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.

The current process for compiling the data sources includes:

* Clipping input datasets to the California boundary

* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)

* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.

* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.

* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)

* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD

* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.

In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.

Data Sources:

* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf

* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore

* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases

* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov

* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html

Data Gaps & Changes:

Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership

An 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. Metadata

This dataset is intended to provide a statewide depiction of land ownership in California. It includes lands owned by each federal agency, state agency, local government entities, conservation organizations, and special districts. It does not include lands that are in private ownership.

Ownership is derived from CAL FIRE's State Responsibility Area (SRA) dataset and GreenInfo Network's California Protected Areas Database (CPAD).

CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsibility Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Indian Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data.

Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset.

This service represents the latest release of the dataset by FRAP, and is updated annually. As of November 2018, it represents ownership18_2.

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

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

ForestOwn_v1 is a 250-meter spatial resolution raster geospatial dataset of forest ownership of the conterminous United States (CONUS). The dataset was prepared by the Forest Inventory and Analysis (FIA) program, Northern Research Station, Forest Service, United States Department of Agriculture (USDA), and differentiates forest from non-forest land and water, public and private ownership, and the percent of private forest land in corporate ownership. The forest/non-forest land/water classification is derived from the USDA Forest Service's CONUS Forest/Nonforest dataset. Public and private land ownership class is derived from the Protected Areas Database of the United States, Version 1.1 (CBI Edition). Corporate ownership of private forest land is derived from the Forest Service's 2007 Resources Planning Act (RPA) dataset, summarized over the Environmental Protection Agency's Original Environmental Monitoring & Assessment Program (EMAP) grid 648 square kilometer hexagon dataset.The ForestOwn_v1 dataset is designed for conducting geospatial analyses and for producing cartographic products over regional to national geographic extents.A corresponding Research Map (RMAP) has been produced to cartographically portray this dataset.

Original metadata date was 02/09/2011. Minor metadata updates were made on 05/10/2013, 04/16/2014, 12/21/2016, and 02/06/2017. Additional minor metadata updates were made on 04/20/2023.

On 07/23/2020 a newer version of these data became available (Sass et al. 2020).

[Metadata] Description: Detailed Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands (by TMK parcel)

The public land reference framework allows a mapping of the built and unbuilt land of public owners.It is structured according to two different orientations:• a comprehensive census of State property, local authorities and public institutions;• a refocused census on the land of the State and national public institutions with a view to implementing the mobi-lisation of public land for housing

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. Field Alias Meaning

PIN15 Parcel Number Tax Parcel ID Number (PIN4+ PIN5)

ROLL_TYPE Roll Type Roll type of property (regularly taxed property or tax-exempt)

GISMOTHER Mother Parcel Mother Parcel

GISMAPNUM PIN1 First 4 digits of PIN15

MAPNAM PIN2 PIN1 + 2 digits

GISBLOCK PIN3 Digits 7 and 8 of PIN15

GISPIN PIN4 PIN2 +PIN3

GISPDOT PIN5 Digit numbers 9 to 12 of PIN15

CONDO_ Condo unit #Condo number

GISPRID Old Tax ID Old parcel number style based on prior mapping system before NC GRID system maps

OWNER Tax Owner 1 Tax parcel owner

OWNER2 Tax Owner 2 Secondary tax parcel owner

SITE_HOUSE Site House # Site Address House Number

SITE_DIR Site Dir Site Address Street directional

SITE_ST Site Street Site Address Street Name

SITE_STTYP Site Street Type Site Address Street Suffix (e.g., Dr., St., etc.)

SITE_APTNO Site Apt Site Address Unit

SITE_CITY Site City Site Address City/Community

PropertyAddress Physical Address Property Address

MAIL_ADDRESS1 Mailing address and street Concatenated mailing address

MAIL_ADDRESS2 Mailing unit Secondary mailing address

MAIL_CITY Mailing city Mailing address City

MAIL_STATE Mailing state Mailing address State

MAIL_ZI4 Mailing Zip4 Mailing address Zip Code + 4

MAIL_ZI5 Mailing Zip5 Mailing address Zip Code

FullMailingAddress Full Mailing Address Full mailing address concatenated

DBOOK Deed Book Deed book containing the most recent deed to the property

DPAGE Deed Page Deed page containing the most recent deed to the property

DDATE Deed Date unformatted most recent deed date for the property

DeedDate_2 Formatted Deed Date Formatted most recent deed date for the property

MapBook Plat Map Book Map Book

MapPage Plat Map Page Map Page

PLATBOOK Plat Book Recorded Plat Book

PLATPAGE Plat Page Recorded Plat Page

LEGAL_DESC Parcel Legal Description Legal description

LegalAcres Legal Acres (new) Deeded or platted acres

DeededAcres Legal Acres Acres from recorded deeds

CalculatedLandUnits Taxed Acres Taxed land acreage

GISacres Calculated Acres Calculated GIS acres

GISacres2 Calculated Acres (new) Calculated GIS acres

LandCode Tax Land Category Code Land Code

LandCodeDescription Tax Land Category Description Land Code Description

MUNICIPALITY Municipality/ETJ If parcel is within the corporate limits or ETJ

TOWNSHIP Township Township code

RESCUE_DIST Tax Rescue District Tax rescue district that the parcel is within

FIRE_DIST Tax Fire District Tax fire district that the parcel is within

Jurisdiction Tax District Code Tax District Code

NBHD Neighborhood Code Neighborhood code

NeighborhoodName Neighborhood Name Neighborhood code description

BuildingCount # Buildings Number of buildings within the property

Y_BLT_HOUSE Year Built House Year house was built

BLT_CONDO Year Built Condo Year condo was built

TOT_SQ_FT Total Sq Foot Total square footage of structure on property

HtdSqFt Heated Sq Foot Heated square footages of structure on the property

BldgModel Building Model Building Model

BEDROOMS # Bedrooms # Bedrooms

BATHROOMS # Bathrooms # Bathrooms

BldgUse Building Use Building Use

Condition Building Condition Building Condition

DwellingStyleDescription Dwelling Description Dwelling style description

ExWllDes1 Exterior wall 1 Exterior wall type 1 description

ExWllDes2 Exterior wall 2 Exterior wall type 2 description

ExWllTyp1 Exterior wall 1 code Exterior wall type 1

ExWllTyp2 Exterior wall 2 code Exterior wall type 2

FondDes1 Foundation Description Foundation type 1 description

FondTyp1 Foundation Description Code Foundation type 1

RCovDes1 Roof # 1 Covering Description Roof covering type 1 description

RCovDes2 Roof # 2 CoveringDescription Roof covering type 2 description

RCovTyp1 Roof # 1 Code Roof covering type 1

RCovTyp2 Roof # 2 Code Roof covering type 2

RStrDes1 Roof Structure Description Roof structure type 1 description

RStrTyp1 Roof Structure Code Roof structure type 1

Grade Building Grade Tax grade

GradeAndCDU Building Grade & Condition Building Grade & Condition

HeatDes1 Heating/Cooling Type Heating type 1 description

HeatTyp1 Heating/Cooling Code Heating type 1

FireplaceCount Fireplaces Fireplaces

STRUC_VAL Structure Value Value of structure(s) on the property

LAND_VALUE Tax Land Value Value of the land on the property

OTHER_VAL Other Structures Value Other value of the property

Total_EMV Total Estimated Market Value Total estimated tax value

SALE_PRICE Recorded Sale Price Recorded sale price

SaleDate Recorded Sale Date Recorded sale date

Subdivision_Name Subdivision Name Subdivision Name

Subdivision_Platbk_pag Subdivision Plat Book/Pake Subdivision Plat Book and Page

Commissioner_District Commissioner District # Commissioner's District

Commissioner_Name1 Commissioner Name Commissioner's Name

Commissioner_Info Commissioner Link Link to Commissioner's contact info

Elementary_School Elementary District Elementary school name/district

Middle_School Middle School District Middle School name/district

High_School High School District High school name/district

IsImproved Property Improved Built on = 1, Vacant = 0

IsQualified Qualified Sale Qualified = 1, Not Qualified = 0

Use_code Tax Use Code Land use code

Use_desc Tax Use Code Description Land use description

Perm_De1 Permit # 1 Description Permit #1 description

Perm_De2 Permit # 2 Description Permit #2 description

Perm_Is1 Permit # 1 Issue Date Permit #1 issue date

Perm_Is2 Permit # 2 Issue Date Permit #2 issue date

Perm_N1 Permit # 1 Number Permit #1

Perm_N2 Permit #2 Number Permit #2

Perm_Ty1 Permit # 1 Type Permit #1 type

Perm_Ty2 Permit # 2 Type Permit #2 type

ACTL_DA1 Permit #1 Completion Date Permit #1 - actual completion date

ACTL_DA2 Permit #2 Completion Date Permit #2 - actual completion date

ReviewedDate Tax Office Review Date Date Reviewed

Noise_lvl Bogue Air Field Noise Level Noise level zones surrounding military air bases

Risk_level Bogue Landing Risk Level Risk level for military air plane accident potential within the AICUZ zones

aicuz Bogue Air Field AICUZ Air Installation Compatible Use Zone - planning zones pertaining to military air bases and the surrounding real estate

OBJECTID OBJECTID ESRI default unique ID

SHAPE Shape ESRI default field

SHAPE.STArea() Shape Area ESRI default field

SHAPE.STLength() Shape Perimeter ESRI default field

description: Parcels and Land Ownership dataset current as of 2000. COGO and parcel map digitizing, primary attribute is APN.; abstract: Parcels and Land Ownership dataset current as of 2000. COGO and parcel map digitizing, primary attribute is APN.

The public land reference framework allows a mapping of the built and unbuilt land of public owners.It is structured according to two different orientations:• a comprehensive census of State property, local authorities and public institutions;• a refocused census on the land of the state and national public institutions with a view to implementing the mobilisation of public land for housing.

A generalized dataset of existing land use in the District of Columbia as existed during its most recent extract of the common ownership lots. This dataset is different from the Comprehensive Plan - Future Land Use, which shows land use as envisioned in the latest version of DC’s Comprehensive Plan. The primary land use categories used in this dataset are similar, but not identical. The Office of the Chief Technology Officer (OCTO) compared two datasets to create this generalized existing land use data. The data source identifying property use is the Property Use Code Lookup from the Office of Tax and Revenue (OTR). An index provided by the Office of Planning assigns each OTR property use code with a “primary land use” designation. Through an automated process, the common ownership lots were then joined with this index to create the Existing Land Use. Only properties with an assigned use code from OTR are categorized. Other properties without a use code were left as NULL. Many of these tend to be public lands such as national parks. Refer to https://opendata.dc.gov/pages/public-lands.This dataset has no legal status and is intended primarily as a resource and informational tool. The Office of the Chief Technology Officer anticipates replicating this work annually.

Analysis of ‘Historic Land Use Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/959bfab5-9e38-4024-b38f-87850660f9f9 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Historic land uses on lots that were vacant, privately owned, and zoned for manufacturing in 2009. Information came from a review of several years of historical Sanborn maps over the past 100 years.

--- Original source retains full ownership of the source dataset ---

The Tax Parcel Boundaries and Attributes dataset contains boundary information and relevant attributes for tax parcels located within Montgomery County, Texas. Tax parcels are used for property taxation purposes and serve as legal representations of land ownership. This dataset includes information such as parcel IDs, boundaries, ownership details, land use codes, and other relevant attributes sourced from the Montgomery Central Appraisal District.This dataset is sourced from the Montgomery Central Appraisal District and is updated monthly to ensure accuracy.Data source: Montgomery Central Appraisal District

Internal view of the parcel layer. This view contains all the attributes that can be seen by County employees.There are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.SFAP & CFAP DISCLAIMER: Per the California Code, RTC 606. some legal parcels may have been combined for assessment purposes (CFAP) or separated for assessment purposes (SFAP) into multiple parcels for a variety of tax assessment reasons. SFAP and CFAP parcels are assigned their own APN number and primarily result from a parcel being split by a tax rate area boundary, due to a recorded land use lease, or by request of the property owner. Assessor parcel (APN) maps reflect when parcels have been separated or combined for assessment purposes, and are one legal entity. The goal of the GIS parcel fabric data is to distinguish the SFAP and CFAP parcel configurations from the legal configurations, to convey the legal parcel configurations. This workflow is in progress. Please be advised that while we endeavor to restore SFAP and CFAP parcels back to their legal configurations in the primary parcel fabric layer, SFAP and CFAP parcels may be distributed throughout the dataset. Parcels that have been restored to their legal configurations, do not reflect the SFAP or CFAP parcel configurations that correspond to the current property tax delineations. We intend for parcel reports and parcel data to capture when a parcel has been separated or combined for assessment purposes, however in some cases, information may not be available in GIS for the SFAP/CFAP status of a parcel configuration shown. For help or questions regarding a parcel’s SFAP/CFAP status, or property survey data, please visit Napa County’s Surveying Services or Property Mapping Information. For more information you can visit our website: When a Parcel is Not a Parcel | Napa County, CA

Historic land uses on lots that were vacant, privately owned, and zoned for manufacturing in 2009. Information came from a review of several years of historical Sanborn maps over the past 100 years. When the SPEED 1.0 mapping application was created in 2009, OER had its vendor examine historic land use maps on vacant, privately-owned, industrially-zoned tax lots. Up to seven years of maps for each lot were examined, and information was recorded that indicated industrial uses or potential environmental contamination such as historic fill. Data for an additional 139 lots requested by community-based organizations was added in 2014. Each record represents the information from a map from a particular year on a particular tax lot at that time. Limitations of funding determined the number of lots included and entailed that not all years were examined for each lot.

[Metadata] Description: Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL LandsSources: County of Kauai, April, 2022; City & County of Honolulu, April 27, 2022; County of Maui, April, 2022; County of Hawaii, April, 2022; State Department of Hawaiian Home Lands, October, 2022. This dataset was created using ownership information provided by the counties via tax map key parcel layers and ownership tables. Parcels were queried using the "Owner" field for state, county, and federal agency names. State GIS staff verified land ownership using the online service QPublic, the 2022 Department of Hawaiian Home Lands layer and other GIS layers and resources. Where ownership was still unclear, State GIS personnel reached out to appropriate agencies for clarification. Summary fields “majorowner” and “type” were created using additional filters, queries and analysis tools to summarize the data based upon government ownership sector and type. Also see detailed government ownership layer (gov_own_detailed) which is comprised of government land ownership by TMK parcel. The parcel boundaries are intended to provide a visual reference only and do not represent legal or survey level accuracy. Attributes are for assessment purposes only and are subject to change at any time. For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/gov_own.pdf or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

The Florida TIITF Land Records Spatial Index is a document based GIS layer to be displayed as a map comprised of polygons and attributes representing parcels described in deeds, leases, easements and other instruments archived in the Title Archives of the Division of State Lands, Department of Environmental Protection for the Florida Board of Trustees of the Internal Improvement Trust Fund (TIITF). The polygons represent parcels described in the archived TIITF land record documents; this is not a tax map or a representation of current ownership. The data includes acquisitions, dispositions and encumbrances. Selecting a parcel on the map may return information about several different documents associated with that parcel through out the history of State land transactions involving that parcel.