This dataset is part of the Cadastral National Spatial Data Infrastructure (CadNSDI) publication dataset for rectangular and non‐rectangular Public Land Survey System (PLSS) data. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-‐ Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.

BLM Alaska PLSS Intersected: This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

Download .zipThis data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The metadata describes the lineage, sources and production methods for the data content. The definitions and structure of this data is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This coverage was originally created for the accurate location of the oil and gas wells in the state of Ohio. The original data set was developed as an ArcInfo coverage containing the original land subdivision boundaries for Ohio. Ohio has had a long and varied history of its land subdivisions that has led to the use of several subdivision strategies being applied. In general, these different schemes are composed of the Public Land Surveying System (PLSS) subdivisions and the irregular land subdivisions. The PLSS subdivisions contain townships, ranges, and sections. They are found in the following major land subdivisions: Old Seven Ranges, Between the Miamis (parts of which are known as the Symmes Purchase), Congress Lands East of Scioto River, Congress Lands North of Old Seven Ranges, Congress Lands West of Miami River, North and East of the First Principal Meridian, South and East of the First Principal Meridian, and the Michigan Meridian Survey. The irregular subdivisions include the Virginia Military District, the Ohio Company Purchase, the U.S. Military District, the Connecticut Western Reserve, the Twelve-Mile Square Reservation, the Two-Mile Square Reservation, the Refugee Lands, the French Grants, and the Donation Tract. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is local records and geographic control coordinates from states, counties as well as federal agencies such as the BLM, USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.This data set is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesOffice of Information TechnologyGIS Records2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

This layer provides survey mark information for marks that are not part of a parcel

A non-boundary mark is any survey mark that is not on a boundary point. The points in this dataset represent physical survey monuments usually placed for cadastral requirements. The data set also includes geodetic marks. Non-boundary marks now enter the Landonline system predominately as part of a cadastral survey dataset (plan) and occasionally via the geodetic processes. For Cadastral marks (i.e.the majority) its name consists of a mark type and number (and is unique to that survey), followed by the ‘plan’ number e.g. IS I DP 3456; IS II DP3456.

Note: Non-boundary marks used to connect cadastral surveys to the geodetic network are those of 6th order (or better) and this subset is available as the NZ Cadastral Survey Network Marks layer.

This dataset extends the Landonline stored data by including the network accuracy which is based upon its assigned Landonline order - refer LINZS25006 (https://www.linz.govt.nz/resources/regulatory/standard-tiers-classes-and-orders-linz-data-linzs25006?document=256).

The accuracy provided relates to the accuracy of coordinates of the mark and has little relevance to the accuracy of the boundary in relation to other boundaries. For example, if the coordinates of the mark were used to locate it, a user would expect to find the existing mark within the accuracy (distance) stated.

This layer provides the latest bearing (direction) and/or distance for cadastral boundaries.

When a cadastral survey is undertaken the relationship between boundary and non-boundary marks is ascertained or measured. • This commonly is in the form or a vector (bearing and distance), but occasionally just one component. • Some relationships are defined as arcs. In this data layer, the arc length is recorded in the distance field and a separate record holds the chord.

Only observations that have been captured in Landonline are available. This includes vectors that were re-captured in the Survey Capture Areas from survey plans lodged prior to Landonline and all survey observations since.

Provides comprehensive information on real estate, including administrative district units designated by law, continuous GIS data from cadastral map computer files, land-related attribute information, and cadastral survey reference point information that serves as the basis for surveying.

This dataset is part of the Cadastral National Spatial Data Infrastructure (CadNSDI) publication dataset for rectangular and non‐rectangular Public Land Survey System (PLSS) data. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-‐ Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.

This layer provides metadata about cadastral surveys along with reference points indicating the location of the survey.

A cadastral survey determines and describes the spatial extent (including boundaries) of interest of land within New Zealand. Each survey is allocated a unique reference number (that prior to Landonline included reference to the land district.

This data provides details that identify the type of survey, the purpose, description and key dates relating to the survey.

Data set for providing cadastral maps in digital form in DXF format. The data comes from the ISKN database (Cadastre Information System). The cadastral map includes a semi-final and descriptive folder. The location contains the boundaries of plots, cadastral areas and administrative units, building perimeters and point fields. The descriptive elements include text inscriptions (par-customs numbers, geographical nomenclature, etc.), map marks (marks of land types, etc.) and lines (borders of protected areas, etc.). When converting data into DXF format, some digital map data (information about point number and position point quality code, symbols on lines, etc.) are lost. The data set is provided as open data (CC-BY 4.0 license). The data is based on ISKN (Cadastre Information System). The cadastral map is provided along the cadastral territories in the JTSK coordinate system (EPSG:5514). There are only areas with a cadastral map in digital form (to 10. 01. 2022 is 97.82 % of the territory of the Czech Republic, i.e. 77 150.84 km²). Data is provided in DXF format. Data is compressed for download (ZIP). More cadastral Act 256/2013 Coll., Decree on the Land Registry No 357/2013 Coll., Decree on the Provision of Data No. 358/2013 Coll., as amended.

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

The Surveying and Mapping Services industry in Canada has weathered uncertain conditions as downstream industries including residential, commercial, industrial construction and government authorities, fared with volatility brought on by the COVID-19 pandemic. The industry's performance is largely tied to developments in residential and nonresidential construction markets, which fuel both private- and public-sector spending.As Canadian oil, gas and mining companies cut back spending on exploration and development projects in response to falling commodity prices, and construction stalled in resource-rich provinces, demand for surveying and mapping services for these projects fell. While growth from the residential construction market helped offset some losses, rising interest intended to offset rising inflation have hampered residential demand. Thus, even as energy prices came roaring back, many surveyors saw a reduction in demand. Over the five years to 2023, industry revenue has been contracting at a CAGR of 1.7% and is expected to reach $1.7 billion, including an expected drop of 3.2% over the current year.The return to growth of downstream construction markets will likely keep industry demand afloat moving forward. In addition to solid demand from industrial building construction as commodity prices remain high, housing market expansion will stimulate demand for cadastral, property line and construction surveying. The continued adoption of new technology will also enable companies to realize new efficiencies and improve the quality of their services, expanding sizable profit margins further. Industry revenue is forecast to rise at a CAGR of 1.2% to $1.8 billion over the five years to 2028.

The property cadastral boundaries include lot lines, property lines and their dimensions (lengths). Other related datasets can be found by filtering on the property keyword. Data currencyThis data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyMuch of the City's land base is created using survey accuracy however some features are not as precise.

Revenue for the Surveying and Mapping Services industry has been volatile in the years since the pandemic. As the economy emerged from a short-lived downturn, surveyors were buoyed by strong residential construction resulting from record-low interest rates. Investment from the commercial sector also expanded as corporate profit soared. However, as the Federal Reserve raised the cost of borrowing to combat high inflation, homebuying and existing home improvements declined, severely inhibiting the residential sector and prompting a multi-year revenue decline for the industry. While interest rates have remained elevated, the 2021 Bipartisan Infrastructure Law has pumped millions of dollars into highway construction, civil engineering, mineral surveying and geospatial data processing, rewarding select surveying and mapping companies with hefty contracts. Thus, industry revenue is anticipated to grow at a CAGR of 2.0% through 2025, even as interest rates remain elevated. In 2025, the industry is projected to grow 1.8% with revenue totalling $11.5 billion.Advances in technology are revolutionizing surveying by enabling faster, more accurate data collection and processing. Mobile mapping tools, UAVs, 3D laser scanning and AI-driven analytics are streamlining workflows, reducing field time and expanding the range of services companies offer. These innovations are supporting complex projects in construction, infrastructure and smart city planning, while cloud-based GIS and automation are improving productivity. As these tools are becoming industry standards, companies that have been quick to adopt them have gained a competitive edge. This increased competition has left laggards behind, making innovation incumbent to sustaining profitability.The industry will continue to see modest expansion as steady economic growth will increase demand from the nonresidential sector. However, economic uncertainty and the expectation of conservative monetary policy by the Federal Reserve will continue to keep interest rates elevated, tempering the residential housing market. Still, surveyors will benefit from new home construction that is expected to rise above historical averages, especially in regions where job growth will support relocation. Through 2030, industry revenue is forecast to expand at a CAGR of 1.1% to reach $12.2 billion.

Dataset for provision of cadastral map in digital form in SHP format. Data comes from ISKN (Information System of Cadastre of Real Estates). Cadastral map includes planimetric and descriptive component. Planimetry contains boundaries of parcels, cadastral and administrative units, perimeters of buildings and geodetic control points. Descriptive elements contain lettering (parcel numbers, geographical names etc.), map symbols (symbols of nature of land use etc.) and lines (boundaries of protected zones etc.). Some information of digital map is omitted during the data conversion into SHP format (information on point number, quality code linked to planimetry points, line symbols etc.). Dataset is provided as Open Data (licence CC-BY 4.0). Data is based on ISKN (Information System of the Cadastre of Real Estates). Cadastral map is provided via cadastral units using JTSK coordinate system (EPSG:5514). Data is available for cadastral units with digital form of cadastral map only - (to the 2025-07-28 it is 99.34% of the territory of the Czech Republic, i.e. 78 346.82km2). Data is provided in SHP format (Windows-1250 character encoding). Dataset is compressed (ZIP) for downloading. More in the Cadastral Act No. 256/2013 Coll., Cadastral Decree No. 357/2013 Coll., Cadastral Decree on Data Provision No. 357/2013 Coll., as amended.

The polygon (vector) shapefiles represent Public Land Survey System (PLSS) sections, or 1-square mile areas of land, with information about Bureau of Land Management (BLM) land and mineral use authorizations for geothermal. The land areas specified by BLM authorizations vary in size and orientation, and may cross one or more PLSS section boundaries. For spatial consistency, the information was aggregated to the square mile PLSS section boundary. The original source data from BLM Cases Recordation database (LR2000) were specific to the day they were generated (March 6, 2016) and subsequent data pulls will likely be different.

Often these parcels were surveyed before township surveys in their area. They may also be supplemental to them (as is the case with some Cadastral Islands). Sometimes these were laid out after a township survey was done, so some may be part of a geographic township. Cadastral Location includes the following: GTP Block - Timber block used by the Grand Trunk Pacific Railway for feeding steam engines, building bridges, and for supplying railway ties. Mining Location - A parcel of land whose surveyed boundaries were laid out during the late nineteenth century for the Crown sale of land for mining purposes to groups or individuals. Cadastral Island - Island delineated on survey plans. It may or may not be part of a geographic township. Other Location - A parcel of land whose surveyed boundaries were laid out during the late nineteenth century for the Crown sale of land for various agricultural or farming purposes to groups or individuals. These locations are mainly found in Northern Ontario and also exist in the un-surveyed territories.

This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.

Government Land Office maps (GLOs) are a result of the effort to survey all United States public lands before settlement. Starting in 1812 land was divided into square six mile blocks called townships, then subdivided into sections and ranges. Each subdivided area was surveyed and given its own map or GLO. During this process surveyors were required to indicate cultural resources such as roads and Indian trails and standardized symbols were used to represent geographic features. These GLOs are now maintained by the Bureau of Land Management as part of the official Land Status and Cadastral Survey records. As land was divided into parcels of individual ownership additional cadastral survey maps were created over time. For this reason there are often multiple GLOs or "cadastral survey maps" for one township / range, generally numbered one through four. For this seamless GLO layer, DAHP focused solely on the more historical GLOs which were usually listed as image number one or two for that specific township / range in the BLM Cadastral Survey records. In some cases no GLOs were available for review. Such areas included National Forest Lands, National Parks, Indian Reservations, and remote wilderness areas.