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

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.

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).

Korea Foreigners' Land Ownership: Busan data was reported at 3,573.000 Unit in 2016. This records a decrease from the previous number of 3,589.000 Unit for 2015. Korea Foreigners' Land Ownership: Busan data is updated yearly, averaging 1,618.000 Unit from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 3,589.000 Unit in 2015 and a record low of 556.000 Unit in 1998. Korea Foreigners' Land Ownership: Busan data remains active status in CEIC and is reported by Ministry of Land, Infrastructure and Transport. The data is categorized under Global Database’s Korea – Table KR.EB072: Foreign Land Ownership: By Region (Annual).

The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The Surface Management Agency (SMA) covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details.

This is the web map that is used in the U.S. Fish &Wildlife Service's Alaska Region online portal for 1:30,000 scale geoPDF topographic maps of the National Wildlife Refuges within the state of Alaska.The maps accessible via the online portal cover 100% of the Alaska National Wildlife Refuges, for a total of 604 maps. Each map covers an area 25 miles east/west by 25 miles north/south, for a total of 625 square miles per map sheet. The maps display land ownership within the Refuges, as well as Refuge and Wilderness boundaries, and towships and ranges (the Public Land Survey System , or PLSS), all overlaid on top of U.S. Geological Survey 1:63,360 scale hillshaded topographic maps.These maps are in the geoPDF format, which is the standard Adobe PDF format, with the addition of geographic referencing information embedded in the file. This allows the user to load the maps into a GPS-enabled mobile device (phone, tablet, etc.) for reference, navigation, and data-recording in the field, without the need for a cell phone connection.

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:

Geospatial data about Lane County, Oregon Land Ownership. Export to CAD, GIS, PDF, CSV and access via API.

This data was collected by the U.S. Bureau of Land Management (BLM) in New Mexico at both the New Mexico State Office and at the various field offices. This dataset is meant to depict the surface owner or manager of the land parcels. In the vast majority of land parcels, they will be one and the same. However, there are instances where the owner and manager of the land surface are not the same. When this occurs, the manager of the land is usually indicated. BLM's Master Title Plats are the official land records of the federal government and serve as the primary data source for depiction of all federal lands. Information from State of New Mexico is the primary source for the depiction of all state lands. Auxilliary source are referenced, as well, for the depiction of all lands. Collection of this dataset began in the 1980's using the BLM's ADS software to digitize information at the 1:24,000 scale. In the mid to late 1990's the data was converted from ADS to ArcInfo software and merged into tiles of one degree of longitude by one half degree of latitude. These tiles were regularly updated. The tiles were merged into a statewide coverage. The source geodatabase for this shapefile was created by loading the merged ArcInfo coverage into a personal geodatabase. The geodatabase data were snapped to a more accurate GCDB derived land network, where available. In areas where GCDB was not available the data were snapped to digitized PLSS. In 2006, the personal geodatabase was loaded into an enterprise geodatabase (SDE). This shapefile has been created by exporting the feature class from SDE.

Land Parcel Data provides detailed information about individual parcels of land, offering insights into land ownership, boundaries, zoning regulations, land use, and other pertinent details.

Government land ownership in the State of Hawaii: Federal, State, State Department of Hawaiian Home Lands (DHHL), and County.

Source: City and County (C&C) of Honolulu (July 2013), Kauai County (January 2012), Maui County (July 2013), Hawaii County (June 2013).

This dataset was created using the Large Landowners layer that was derived from the Tax Map Key (TMK) Parcel shapefiles from the counties of Honolulu, Kauai, Maui and Hawaii. Lands were selected for Type = "Public".

This data publication contains 250 meter raster data depicting the spatial distribution of forest ownership types in the conterminous United States. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local; three types of private: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, and unincorporated partnerships and associations); as well as Native American tribal lands. The most up-to-date data available were used in creating this data publication. A plurality of the ownership data were from 2014, but some data were as old as 2004.

Forest Ownership (2016) was created for the Forests to Faucets 2.0 Project and modified for the Forest Stewardship Program. The Forest Ownership dataset was created for the Forests to Faucets 2.0 Project and has been modified for the Forest Stewardship Program. This dataset was derived from the 2016 National Land Cover Database (NLCD Value = 41,42,43, 90); Protected Areas Database (PAD-US v2.1); and the National Conservation Easement Database (NCED.)This map (Field FOROWN_FSP) depicts ownership classes aligned with the Forests Stewardship Program for planning purposes. Private Forest Ownership defined in this dataset includes forested lands that are privately owned, lands with legal conservation easements, private conservation lands (includes private conservancies, preserves, and sanctuaries), and Native American lands.PAD_NCED_PRI10OwnershipFOROWNFOROWN_FSP0Non ForestNon ForestNon Forest1NCED Permanent Easements Protected ForestPrivate Forest2Federal LandFederal ForestFederal Forest3USDA Forest ServiceForest Service ForestForest Service Forest4Native American LandProtected ForestPrivate Forest5Joint OwnershipProtected ForestProtected Forest6Local LandProtected ForestProtected Forest7Private Conservation LandProtected ForestPrivate Forest8State LandProtected ForestState Forest9UnknownProtected ForestProtected Forest10PrivatePrivate ForestPrivate ForestField NLCD_2016_LAND_C are the NLCD values found here: https://www.mrlc.gov/data/legends/national-land-cover-database-2016-nlcd2016-legendSourcesConservation Biology Institute, 2016. PAD-US (CBI Edition) Version 2.1 Shapefile (updated September 1, 2016) U.S. Endowment for Forestry and Communities 2016. National Conservation Easement Database October 5 2016 U.S. Geological Survey, 2019. NLCD 2016 Land Cover Conterminous United States. Sioux Falls, SD. (Value = 41,42,43, 90) Yang, L., et al. (2018). "A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies." ISPRS Journal of Photogrammetry and Remote Sensing 146: 108-123.

Local authorities are large owners of land, much of it not captured on the current Land Registry due to it not changing hands in the last 40 years. Many do not have up to date records of the extent of their land ownership, and as such there is no definitive records held. This dataset is trying to collect what information does exist to provide an indicative extent of land owned by Local Authorities. This is NOT indemnified Registers of Scotland land ownership extents. Some of it is derived from sale of land based on historical ownership, but it should not be used for decision making, it is designed as an aid to assist interested parties in identifying where to start their enquiries. If in doubt please contact the relevant local authority or Registers of Scotland.

An area depicted as surface ownership parcels dissolved on the same ownership classification. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

Source of ownership data comes from Bureau of Land Management master title plats (MTPs). Using MTPs as a reference ownership lines and attributes were drafted onto mylars of with public land survey (PLS) and digitized. All of the current ownership coverages where snapped to Geographic Coordinate Database (GCDB) where available. The ownership coverages are updated as information is received from the field offices. Updates usually come from users who discover errors or outdated information. Because our focus is mainly on BLM lands, land exchanges made by the Park Service and Forest Service may not show up on our coverages for some time.

Data Series: Share of women among owners or rights-bearers of agricultural land, by type of tenure Indicator: I.10 - Proportion of total agricultural population with ownership or secure rights over agricultural land, by sex; and (b) share of women among owners or rights-bearers of agricultural land, by type of tenure Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

Korea Foreigners' Land Ownership: Seoul data was reported at 31,127.000 Unit in 2016. This records an increase from the previous number of 29,812.000 Unit for 2015. Korea Foreigners' Land Ownership: Seoul data is updated yearly, averaging 12,029.000 Unit from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 31,127.000 Unit in 2016 and a record low of 2,545.000 Unit in 1998. Korea Foreigners' Land Ownership: Seoul data remains active status in CEIC and is reported by Ministry of Land, Infrastructure and Transport. The data is categorized under Global Database’s Korea – Table KR.EB072: Foreign Land Ownership: By Region (Annual).

Taiwan LR: Area: Change in Land Ownership: Inheritance data was reported at 23,622.251 sq m th in Oct 2018. This records an increase from the previous number of 21,634.699 sq m th for Sep 2018. Taiwan LR: Area: Change in Land Ownership: Inheritance data is updated monthly, averaging 17,505.936 sq m th from Feb 1995 (Median) to Oct 2018, with 285 observations. The data reached an all-time high of 37,929.473 sq m th in Mar 1995 and a record low of 17.833 sq m th in Aug 1998. Taiwan LR: Area: Change in Land Ownership: Inheritance data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EB007: Land Registration: Area.