This dataset provides title information (excluding ownership) where there is a relationship to one or more primary parcels.

A Record of Title is a record of a property's owners, legal description and the rights and responsibilities registered against the title.This dataset does not contain any ownership information so that it can be freely distributed. If ownership information is required, you need to apply for access.

There can be multiple parcels associated with a title, and a title may only have a part share in a parcel. This means the shape representing the title will be an aggregation of all parcels that the title is associated with. The ‘spatial extents shared’ attribute when equal to ‘false’ will indicate that title has exclusive interest over all of the shape (this will be case for the vast majority).

The originating data for parcel/title associations includes some non-official sources where the official data does not support a link. For more information see the LINZ website

APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

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 Custodial geospatial data held by the National Native Title Tribunal (NNTT) consists of those datasets necessary to contribute to the statutory functions associated with Registers and other information, in support of the Native Title Act 1993 (Cth). Whilst these datasets do not form part of the statutory registers, they enable the visualisation and ability to search on these matters. Currency Refer to the individual layer for date last updated. Modification frequency: As needed Data extent Spatial extent North: -8.881900° South: -43.193600° East: 163.192100° West: 109.233400° Source information The data is downloadable from the NNTT website Further information can be found on the NNTT's GIS page Lineage statement This data can be downloaded from the NNTT website and accessed through the NNTT Feature Service Contact Geoscience Australia, clientservices@ga.gov.au Data Dictionary The Geospatial corporate data model contains a brief data and dictionary definition for each geospatial dataset: Tribunal Geospatial Corporate Data Model Contact Geoscience Australia, clientservices@ga.gov.au

This series consists of a cadastral maps used to show application numbers for the conversion of General Law land deeds into Torrens system titles.

The first land tenure system to be introduced into Victoria in March 1838 was called the 'General Law' or 'Old Law System', or more commonly called today, NUA (Not Under Act). Land under the Torrens system (Real Property Act 1862) was therefore 'under Act'. This system was directly based on the principles of the English Common Law.

Under the General Law system, land ownership was based on a set of deeds, being the original deed held by the owner and a Memorial which was generally registered at the RGO. These documents helped prove ownership back to the Crown Grant, although there was no compulsion under this system to register the Memorial with the RGO.

Title was proven by producing the collection of deeds, which was commonly called the ‘Chain of Title’ held by successive owners, as well as a search of the Memorials lodged at the RGO. A Memorial is a copy of the original deed. Every time land changed hands, the chain of deeds needed to be produced and a new deed/Memorial needed to be drawn up by lawyers. It was a cumbersome and expensive system, in which the risk of deeds being lost or destroyed was high. Land ownership in the General Law system was and is still not guaranteed by the Victorian government.

The maps in this series were primarily created to identify active conversion areas, which were most commonly metropolitan areas. The maps were created by the Registrar Generals’ Office (RGO) to track and identify the application numbers for General Law conversion applications in the area depicted on the map. An application number was allocated to each parcel of land when the owner applied to have it converted from the original General Law deed into a title under the new Torrens system. This number was used in several General Law land ownership series, and is identified by the prefix AP, e.g. AP12345. The application number was unique to each application and can be used to track records about a particular parcel of land and its conversion to a title over multiple series.

The introduction of the Torrens system in Victoria on 2 October 1862, made legislative provisions under the Transfer of Land Act for owners of General Law land to voluntarily convert their land to the Torrens system of land ownership. Although the expectation was that all land would be brought under the operation of the Transfer of Land Act fairly quickly, this did not prove to be the case. In the mid-1980s, after 120 years of operation of the Torrens system, large areas of land remained under the General Law system. The registration of Memorials continued until the 31 December 1998 when the register was closed. This was an effort to help speed up the Conversion process, as all new land transactions would have to be conducted under the Transfer of Land Act following an application to convert the deed into a certificate of title.

Most marketable parcels of land under the General law ownership have now been converted to the Torrens system.

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.

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.htmlData 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 dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these 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. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

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 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:

Introduction and Rationale: Due to our increasing understanding of the role the surrounding landscape plays in ecological processes, a detailed characterization of land cover, including both agricultural and natural habitats, is ever more important for both researchers and conservation practitioners. Unfortunately, in the United States, different types of land cover data are split across thematic datasets that emphasize agricultural or natural vegetation, but not both. To address this data gap and reduce duplicative efforts in geospatial processing, we merged two major datasets, the LANDFIRE National Vegetation Classification (NVC) and USDA-NASS Cropland Data Layer (CDL), to produce an integrated land cover map. Our workflow leveraged strengths of the NVC and the CDL to produce detailed rasters comprising both agricultural and natural land-cover classes. We generated these maps for each year from 2012-2021 for the conterminous United States, quantified agreement between input layers and accuracy of our merged product, and published the complete workflow necessary to update these data. In our validation analyses, we found that approximately 5.5% of NVC agricultural pixels conflicted with the CDL, but we resolved a majority of these conflicts based on surrounding agricultural land, leaving only 0.6% of agricultural pixels unresolved in our merged product. Contents: Spatial data

Attribute table for merged rasters

Technical validation data

Number and proportion of mismatched pixels Number and proportion of unresolved pixels Producer's and User's accuracy values and coverage of reference data Resources in this dataset:Resource Title: Attribute table for merged rasters. File Name: CombinedRasterAttributeTable_CDLNVC.csvResource Description: Raster attribute table for merged raster product. Class names and recommended color map were taken from USDA-NASS Cropland Data Layer and LANDFIRE National Vegetation Classification. Class values are also identical to source data, except classes from the CDL are now negative values to avoid overlapping NVC values. Resource Title: Number and proportion of mismatched pixels. File Name: pixel_mismatch_byyear_bycounty.csvResource Description: Number and proportion of pixels that were mismatched between the Cropland Data Layer and National Vegetation Classification, per year from 2012-2021, per county in the conterminous United States.Resource Title: Number and proportion of unresolved pixels. File Name: unresolved_conflict_byyear_bycounty.csvResource Description: Number and proportion of unresolved pixels in the final merged rasters, per year from 2012-2021, per county in the conterminous United States. Unresolved pixels are a result of mismatched pixels that we could not resolve based on surrounding agricultural land (no agriculture with 90m radius).Resource Title: Producer's and User's accuracy values and coverage of reference data. File Name: accuracy_datacoverage_byyear_bycounty.csvResource Description: Producer's and User's accuracy values and coverage of reference data, per year from 2012-2021, per county in the conterminous United States. We defined coverage of reference data as the proportional area of land cover classes that were included in the reference data published by USDA-NASS and LANDFIRE for the Cropland Data Layer and National Vegetation Classification, respectively. CDL and NVC classes with reference data also had published accuracy statistics. Resource Title: Data Dictionary. File Name: Data_Dictionary_RasterMerge.csv

Use this app to explore and visualise native title data, supporting the Native Title Act 1993 (Cth). About the data in this appCustodial geospatial data held by the National Native Title Tribunal (NNTT) consists of those datasets necessary to contribute to the statutory functions associated with Registers and other information, in support of the Native Title Act 1993 (Cth).Whilst these datasets do not form part of the statutory registers, they enable the visualisation and ability to search on these matters.For more information, see Native Title.Key featuresInteractive map: Zoom and pan in the interactive map to explore native title data. Layer control: Toggle between various map layers to customise your viewing experience. Add data: Add data to create your own custom map. Export: Export map views and native title data in various formats for your research. CurrencyModification frequency: As needed, refer to the Native Title dataset for details.ContactDigital Atlas of AustraliaChangelog Version 1.1.0 (2025-06-19)

Minor content changes Retitled app. Previous title: Native title

Version 1.0.0 (2024-08-23) ArcGIS Experience Builder app configured with the following: Native Title mapLocation search and other location toolsMap creation tools, such as map base map, add data and map layersLegendDrawing and measure toolsAnalysis tools, such as table and selectPrintHelp

The data are designed for strategic analyses at a national or regional scale which require spatially explicit information regarding the extent, distribution, and prevalence of the ownership types represented. The data are not recommended for tactical analyses on a sub-regional scale, or for informing local management decisions. Furthermore, map accuracies vary considerably and thus the utility of these data can vary geographically under different ownership patterns.

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.

A selection of the General Land Status dataset that reflects National Wildlife Refuge Lands located within a section.This data has been generalized to the section level. For source data, please see the Bureau of Land Management - Alaska Section. Note: This map shows general land ownership information. When reviewing this map, please remember that federal, ANCSA, and state land ownership is depicted, hierarchically, by entire section. For example, any portion of a section (640 acres) falling within State Patented or Tentatively Approved land causes the whole section to be depicted as state land, even if the State Patented or Tentatively Approved land is only a fraction of the section, and federal land and/or ANCSA land also occurs in the section.

The land ownership hierarchy is as follows: 1. State Municipal Entitlements or Land Exchanges or Other Land Disposals. 2. Patented Disposed Federal Lands (Native Allotments or Private Parcels). 3. State Patented or Tentatively Approved or Other State Acquired Lands (includes casetypes 101-114, 116-117, 128-129). 4. Alaska Native Claims Settlement Act (ANCSA) Patented or Interim Conveyed. 5. Major Military. 6. National Wildlife Refuges, National Park System Units. 7. National Wild & Scenic Rivers outside National Park System Units and National Wildlife Refuges. 8. National Forests and Monuments, National Petroleum Reserve-Alaska, National Recreation Areas and National Conservation Areas. 9. Bureau of Land Management Public Lands.

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.

[Metadata] Description: Detailed Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands (by TMK parcel) Sources: 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. Standardization and Summary fields "ownedby," “majorowner” and “type” were created using additional filters and queries. 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_detailed.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.

Vacant property owned and managed by the City of Chicago Department of Housing and Economic Development. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the LIS database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the LIS database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

A Web Map displaying the property ownership boundaries within Natrona County, as well as the municipal boundaries, addresses, Improvement Service District boundaries, streets, roads, Township, Range, and Section Boundaries and zoning boundaries.

Vector polygon map data of property parcels from Las Vegas, Nevada, containing 794,465 features.

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

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

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

NZ Parcel Boundaries Wireframe provides a map of land, road and other parcel boundaries, and is especially useful for displaying property boundaries.
This map service is for visualisation purposes only and is not intended for download. You can download the full parcels data from the NZ Parcels dataset.
This map service provides a dark outline and transparent fill, making it perfect for overlaying on our basemaps or any map service you choose.
Data for this map service is sourced from the NZ Parcels dataset which is updated weekly with authoritative data direct from LINZ’s Survey and Title system. Refer to the NZ Parcel layer for detailed metadata.
To simplify the visualisation of this data, the map service filters the data from the NZ Parcels layer to display parcels with a status of 'current' only.
This map service has been designed to be integrated into GIS, web and mobile applications via LINZ’s WMTS and XYZ tile services. View the Services tab to access these services.
See the LINZ website for service specifications and help using WMTS and XYZ tile services and more information about this service.

Parcels and Land Ownership dataset current as of 2010. Parcel map was generated based on DeKalb County street centerline, ROW from DeKalb tax map, building structure and DeKalb tax map..