Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.
The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.
The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.
In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.
This dataset contains polygons representing individual taxed parcels or individual tax-exempt parcels tracked for taxing purposes. It also contains polygons representing the locations of multiple tax properties. In the case of multiple tax properties, several parcel polygons may be stacked on top of one another. These are multiple tax parcels that cannot be delineated on a two-dimensional map, including both taxed and tax-exempt parcels. The parcels are represented with identical geometries but have different parcel IDs and associated tax attributes. The PID field contains the property ID number for each parcel.Link to Attribute Table Information: http://gis.hennepin.us/OpenData/Metadata/County%20Tax%20Parcels.pdf
© This dataset is compiled monthly by the Hennepin County GIS Office from parcel geometry that is created and maintained by the Hennepin County Resident and Real Estate Services Survey Division and tax attributes extracted from the Hennepin County Real Estate Services property tax information system.
This data set features polygons that represent tax parcels in Aitkin County, Minnesota. Polygons are identified by Parcel Identification Number (PIN). Polygons were mapped using the legal description on file in the Recorder's Office. Redundant geometries exist for condomimiums and undivided interests. Undivided ownership occurs when two or more parties have an ownership interest in the same parcel.
Washington County, MN Tax Parcels. An independent manual check of the parcel data was made at the time of its initial development whereby all geo-coded parcel legal descriptions in a PLSS section were reinterpreted and examined for accuracy and completeness on the hard copy check plot. As each new plat or lot division occurs, a similar process is repeated for the new additions during the maintenance period. Multiple lines of ownership indicating ambiguity in property line location are merged into a single line if falling within 3 feet of each other. Gaps or overlaps in these situations are not shown. In some cases where two lines converge; e.g., where at one end the two lot lines are within 0.50 feet of each other and at the other end they are within 6.00 feet of each other they may be merged because the average discrepancy is 3 feet or less. Where gaps or overlaps exist in excess of approximately 3 feet in width, they are shown with text notation indicating APPARENT GAP or AREA OF DISCREPANCY.
This file geodatabase contains parcel data including plat boundaries, tax parcels, easements and road right of ways. Attributed Parcel Point and Polygon data represent property descriptions (legal descriptions) and land ownership in Ramsey County joined to tax parcels.
The following links can be used to obtain individual metadata pages:
Attributed Parcel Point: plan_attributedparcelpoint.html
Attributed Parcel Poly: plan_attributedparcelpoly.html
Common Interest: plan_commoninterest.html
Subdivision: plan_subdivision.html
Tax Parcels: plan_taxparcel.html
Manufactured Home: plan_manufacturedhome.html
Personal Property: plan_personalproperty.html
Real Property: plan_realproperty.html
State Assessed Property: plan_stateassessedproperty.html
Conveyance Division: plan_conveyancedivision.html
Special Survey: plan_specialsurvey.html
Parcel Info: plan_parcelinfo.html
Easement: plan_easement.html
Landtie: plan_landtie.html
Right of Way: plan_rightofway.html
Historic Right of Way: plan_historicrightofway.html
Vector polygon map data of property parcels from Itasca County, Minnesota containing 77967 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.
description: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .; abstract: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .
Scott County Parcels represent property tax boundaries and were created, and are maintained, by the Survey department. The tax boundaries are joined to the Assessor's CAMA data using the PID field providing field attributes for each property. For a list of field descriptions, click here.
Easy to navigate and search for property information. Features a large map area and a printable property card. It also includes additional map features such as streets, lakes and parks.
This dataset includes high quality (800 Dots Per Inch - DPI), 24 bit color images of Minnesota's original Public Land Survey (PLS) plats created during the first government land survey of the state from 1848 to 1907. Currently housed at the Office of the Secretary of State, these plats were created by the U.S. Surveyor General's Office. This collection of more than 3,600 maps also includes later General Land Office (GLO) and the Bureau of Land Management (BLM) maps - up to the year 2001.
Minnesota's survey plat maps serve as the fundamental legal records for real estate in the state; all property titles and descriptions stem from them. They also serve as an essential resource for surveyors and as an analytical tool for the state's physical geography prior to European settlement. Finally, they serve as a testimony to years and years of hard work by the surveying community, often under challenging conditions.
In recent years the deteriorating physical condition of the older maps and the needs of technologically more sophisticated researchers, who require access to the maps, have made handling the original paper records increasingly less practical. To meet this challenge, the Office of the Secretary of State, the State Archives of the Minnesota Historical Society, the Minnesota Department of Transportation, MnGeo (formerly the Land Management Information Center - LMIC) and the Minnesota Association of County Surveyors collaborated in a digitization project which produced images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes worth of data. Funding was provided by the Minnesota Department of Transportation.
DCGIS is an interactive map that provides increased functionality for advanced users as well as access to about 150 layers of GIS data, including parcel information, contour lines, aerial photography, county park amenities, park trails, bikeways, county road construction, roundabouts, floodplains and more. It allows you to create a map at any scale you wish.
The Interactive GIS Map is intended for use on any device - mobile or desktop - with high speed access.
This dataset is a compilation of tax parcel information for Dakota County, MNThe layer contains one record for each real estate/tax parcel polygon within the county. Condominiums are not included in the polygon layer. If condominiums are desired, use the tax parcel point layer in combination with this polygon layer.In many places a one-to-one relationship does not exist between these parcel polygons and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Currently, only tax parcel ownership (and taxpayer information) is displayed for this dataset.
Tax Parcel - Polygons
Tax Parcel - Points
Tax Parcel - Lines
Washington County, MN Tax Parcels. An independent manual check of the parcel data was made at the time of its initial development whereby all geo-coded parcel legal descriptions in a PLSS section were reinterpreted and examined for accuracy and completeness on the hard copy check plot. As each new plat or lot division occurs, a similar process is repeated for the new additions during the maintenance period. Multiple lines of ownership indicating ambiguity in property line location are merged into a single line if falling within 3 feet of each other. Gaps or overlaps in these situations are not shown. In some cases where two lines converge; e.g., where at one end the two lot lines are within 0.50 feet of each other and at the other end they are within 6.00 feet of each other they may be merged because the average discrepancy is 3 feet or less. Where gaps or overlaps exist in excess of approximately 3 feet in width, they are shown with text notation indicating APPARENT GAP or AREA OF DISCREPANCY.
This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, agriculture, and wetlands. In this community, forest is defined as Trees and Forest and Woody Wetlands.and green space is defined as Trees and Forest, Grass and Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
This layer is a component of Natural resources interactive map.
The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2021-2022 school year, i.e., in operation as of January 1, 2022.
Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation practices. These measures will need to consider landscape hydrology, distributions of soil types, land cover, and crop distributions in an integrated manner. The two most consistent challenges to these efforts will be consistency and reliability of data, and the capacity to translate conservation planning from watershed to farm and field scales. The translation of scale is required because, while conservation practices can be planned based on a watershed scale framework, they must be implemented by landowners in specific fields and riparian sites that are under private ownership. To support these goals, it has been necessary to develop planning approaches, high-resolution spatial datasets, and conservation practice assessment tools that will allow the agricultural and conservation communities to characterize and mitigate these challenges. The field boundary dataset represents a spatial framework for assembling and maintaining geospatial data to support conservation planning at the scale where conservation practices are implemented. This field boundaries dataset has been assembled to support field-scale agricultural conservation planning using the USDA/ARS Agricultural Conservation Planning Framework (ACPF). The original data used to create this database are the pre-2008 Farm Bill FSA common land unit (CLU) datasets. A portion of metadata found herein pertains to the USDA FSA CLU. The remaining information has been developed to reflect the repurposing of the data in its aggregated form. It is important to note that all USDA programmatic and ownership information that was associated with the original data have been removed. Beyond that, these data has been extensively edited to reflect crop-specific land use consistent with 2015 land cover as derived from 2015 NASS Crop Data Layer datasets and 2015 aerial photography, and no longer reflects discrete ownership patterns. Resources in this dataset:Resource Title: Agricultural land use by field: Minnesota 2010-2019. File Name: MN_ACPFfields2019.zipResource Description: This field boundaries dataset has been assembled to support field-scale agricultural conservation planning using the USDA/ARS Agricultural Conservation Planning Framework (ACPF).Resource Software Recommended: ArcGIS,url: https://www.esri.com/en-us/home Resource Title: Minnesota Field Boundaries 2019. File Name: MN_ACPF_fieldBoundaries_2019.pdfResource Description: Minnesota Field Boundaries 2019Resource Title: Minnesota ACPF Crop History 2010-2019. File Name: MN_ACPFfields_CropHistory2010_2019.pdfResource Description: Minnesota ACPF Crop History 2010-2019Resource Title: Minnesota ACPF Land Use 2014-2019. File Name: MN_ACPFfields_LandUse2014_2019.pdfResource Description: Minnesota ACPF Land Use 2014-2019
The TRS digital data set represents the Township, Range, and Section boundaries of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns.
The township, range and section boundaries were digitized at MnGeo (formerly known as the Land Management Information Center - LMIC) from stable base mylars of the U.S. Geological Survey (USGS) 30-minute latitude by 60-minute longitude map series (1:100,000-scale). All survey lines were extended across water bodies despite the fact that U.S. Geological Survey base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas (polygons) ensuring that township and range location can be determined for any point in the state. It also means that the data set is not affected if lake levels change over time.
This dataset contains the boundary area of Hennepin County municipalities as defined from Auditor legal descriptions and tax area boundaries. It includes any annexations that may affect the corporate boundary. The NAME_TXT attribute field contains the municipality text label.
Link to Attribute Table Information: http://gis.hennepin.us/OpenData/Metadata/Municipal%20Boundaries.pdf
Use Limitations: This data (i) is furnished "AS IS" with no representation as to completeness or accuracy; (ii) is furnished with no warranty of any kind; and (iii) is not suitable for legal, engineering or surveying purposes. Hennepin County shall not be liable for any damage, injury or loss resulting from this data. General questions about this dataset, including errors, omissions, corrections and/or updates should be directed to the Survey Division, Resident and Real Estate Services Department, Hennepin County at 612-348-3131.
© This data set was created by Hennepin County Resident and Real Estate Services Survey Division. This layer is a component of Datasets for Hennepin County AGOL and Hennepin County Open Data..
This feature class is basically a representation of all cities/towns and townships within Douglas County.This is the most up to date boundary for Douglas County with annexations for Alexandria City. Current boundary used in apps.
Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.
The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.
The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.
In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.