This dataset is a compilation of county parcel data from Minnesota counties that have opted-in for their parcel data to be included in this dataset.

It includes the following 55 counties that have opted-in as of the publication date of this dataset: Aitkin, Anoka, Becker, Benton, Big Stone, Carlton, Carver, Cass, Chippewa, Chisago, Clay, Clearwater, Cook, Crow Wing, Dakota, Douglas, Fillmore, Grant, Hennepin, Houston, Isanti, Itasca, Jackson, Koochiching, Lac qui Parle, Lake, Lyon, Marshall, McLeod, Mille Lacs, Morrison, Mower, Murray, Norman, Olmsted, Otter Tail, Pennington, Pipestone, Polk, Pope, Ramsey, Renville, Rice, Saint Louis, Scott, Sherburne, Stearns, Stevens, Traverse, Waseca, Washington, Wilkin, Winona, Wright, and Yellow Medicine.

If you represent a county not included in this dataset and would like to opt-in, please contact Heather Albrecht (Heather.Albrecht@hennepin.us), co-chair of the Minnesota Geospatial Advisory Council (GAC)’s Parcels and Land Records Committee's Open Data Subcommittee. County parcel data does not need to be in the GAC parcel data standard to be included. MnGeo will map the county fields to the GAC standard.

County parcel data records have been assembled into a single dataset with a common coordinate system (UTM Zone 15) and common attribute schema. The county parcel data attributes have been mapped to the GAC parcel data standard for Minnesota: https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

This compiled parcel dataset was created using Python code developed by Minnesota state agency GIS professionals, and represents a best effort to map individual county source file attributes into the common attribute schema of the GAC parcel data standard. The attributes from counties are mapped to the most appropriate destination column. In some cases, the county source files included attributes that were not mapped to the GAC standard. Additionally, some county attribute fields were parsed and mapped to multiple GAC standard fields, such as a single line address. Each quarter, MnGeo provides a text file to counties that shows how county fields are mapped to the GAC standard. Additionally, this text file shows the fields that are not mapped to the standard and those that are parsed. If a county shares changes to how their data should be mapped, MnGeo updates the compilation. If you represent a county and would like to update how MnGeo is mapping your county attribute fields to this compiled dataset, please contact us.

This dataset is a snapshot of parcel data, and the source date of the county data may vary. Users should consult County websites to see the most up-to-date and complete parcel data.

There have been recent changes in date/time fields, and their processing, introduced by our software vendor. In some cases, this has resulted in date fields being empty. We are aware of the issue and are working to correct it for future parcel data releases.

The State of Minnesota makes no representation or warranties, express or implied, with respect to the use or reuse of data provided herewith, regardless of its format or the means of its transmission. THE DATA IS PROVIDED “AS IS” WITH NO GUARANTEE OR REPRESENTATION ABOUT THE ACCURACY, CURRENCY, SUITABILITY, PERFORMANCE, MECHANTABILITY, RELIABILITY OR FITINESS OF THIS DATA FOR ANY PARTICULAR PURPOSE. This dataset is NOT suitable for accurate boundary determination. Contact a licensed land surveyor if you have questions about boundary determinations.

DOWNLOAD NOTES: This dataset is only provided in Esri File Geodatabase and OGC GeoPackage formats. A shapefile is not available because the size of the dataset exceeds the limit for that format. The distribution version of the fgdb is compressed to help reduce the data footprint. QGIS users should consider using the Geopackage format for better results.

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

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.

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.

Vector polygon map data of property parcels from Itasca County, Minnesota containing 77967 features.

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

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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.

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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.

Scott County Parcel Points represent the center of 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.

The published representation of real property areas, combined with assessing and tax information from CAMA and Tax systems, and organized for consumption in desktop and web applications.

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.

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.

The published representation of real property areas, combined with assessing and tax information from CAMA and Tax systems, and organized for consumption in desktop and web applications. This feature class contains redundant geometry in cases where there are multiple condominium units on a given tax parcel.

This dataset includes all 7 metro counties that have made their parcel data freely available without a license or fees.

This dataset is a compilation of tax parcel polygon and point layers assembled into a common coordinate system from Twin Cities, Minnesota metropolitan area counties. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

NOTICE: The standard set of attributes changed to the MN Parcel Data Transfer Standard on 1/1/2019.
https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

See section 5 of the metadata for an attribute summary.

Detailed information about the attributes can be found in the Metro Regional Parcel Attributes document.

The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. One primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area.

In many places a one-to-one relationship does not exist between these parcel polygons or points 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. Parcel owner and taxpayer information exists for many, but not all counties.

This is a MetroGIS Regionally Endorsed dataset.

Additional information may be available from each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person at each individual county.

Anoka = http://www.anokacounty.us/315/GIS
Caver = http://www.co.carver.mn.us/GIS
Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx
Hennepin = https://gis-hennepin.hub.arcgis.com/pages/open-data
Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data
Scott = http://opendata.gis.co.scott.mn.us/
Washington: http://www.co.washington.mn.us/index.aspx?NID=1606

This layer contains address point features which are used for geocoding addresses and property identification numbers. Data attributes include property addresses and property identification numbers. Addresses are stored in both parsed and concatenated fields.

Link to Attribute Table Information: http://gis.hennepin.us/OpenData/Metadata/Address%20Points.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 data set, including errors, omissions, corrections and/or updates should be directed to the Hennepin County GIS Office at 612-596-9484.

© This data set was created by Hennepin County Resident and Real Estate Services Survey Division, and modified by the Hennepin County GIS office.

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

Hennepin County leased and owned property locations. This GIS data set includes county libraries, service centers, office, medical, and correctional facilities, It contains structures only, and does not include any parking lot, ramps, or related properties currently leased or owned by Hennepin County. List generated 2/7/13. Lease list cross check with Leasing and Land Management on 1/9/2013.Additional modification was conducted by the Hennepin County GIS Office. Facility Data Supplied by:Planning and Project Development DivisionHennepin County Property Services DepartmentA2208 Government Center – Mail Code 228300 South Sixth Street, Minneapolis, MN 55487-0228

© Planning and Project Development Division Hennepin County Property Services Department A2208 Government Center – Mail Code 228 300 South Sixth Street, Minneapolis, MN 55487-0228 This layer is sourced from gis.hennepin.us.

This map shows the total crime index in the U.S. in 2018 in a multi-scale map (by state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Total crime indexPersonal and Property crime indices Sub-categories of personal and property crime indicesThe values are all referenced by an index value. The index values for the US level are 100, representing average crime for the country. A value of more than 100 represents higher crime than the national average, and a value of less than 100 represents lower crime than the national average. For example, an index of 120 implies that crime in the area is 20 percent higher than the US average; an index of 80 implies that crime is 20 percent lower than the US average.Additional Esri Resources:Esri DemographicsU.S. 2018/2023 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

This is a 15-meter raster dataset of a land cover and impervious surface classification for 2013, level two classification. The classification was created using a combination of multitemporal Landsat 8 data and LiDAR data with Object-based image analysis. By using objects instead of pixels we were able to utilize multispectral data along with spatial and contextual information of objects such as shape, size, texture and LiDAR-derived metrics to distinguish different land cover types. While OBIA has become the standard procedure for classification of high resolution imagery we found that it works equally well with Landsat imagery. For the objects classified as urban or developed, a regression model relating the Landsat greenness variable to percent impervious was developed to estimate and map the percent impervious surface area at the pixel level.

This dataset was funded by the the Minnesota Environment and Natural Resources Trust Fund (ENRTF).

The Lyon County Parcels represent geographic entities, defined by the Lyon County for the use of taxing, and identifying land ownership in Lyon County. This dataset also includes other relevant information that is stored in the county tax database. Parcels have been created using various data including title deed transactions, assessor database information, highway and survey data and other datasets. The data is not generally at survey quality and should be used for reference only. Lyon County makes no warrenties, guarantees, or representations reguarding the information provided All information provided is avalible on an as is basis and carries no actual or implied warrenty of merchantabilities or fitness for a particular use. Lyon County and any of its offivers, agents, or employees are not liable for damages of any type arising from the use of the information herin, whether direct, consequential, incidental, special, or punitive.

This layer is a component of Natural resources interactive map.

description: The Soil Atlas project provides a consistent, statewide map series and GIS data set describing soil and landscape characteristics. The data is generalized. The scale of 1:250,000, or about 1/4 inch to 1 mile, makes it possible to show areas as small as 1 square mile. The data set and maps were created in the 1970's to provide information to support generalized planning over broad areas. The maps were not intended to replace the detailed soil surveys, but to provide a more general overview, and to provide make soil description information available until such a time as soil surveys were completed statewide. The Soil Atlas map series was developed by the Department of Soil, Water, and Climate of the University of Minnesota, in cooperation with the Natural Resources Conservation Service (previously Soil Conservation Service), U.S. Department of Agriculture, and the Minnesota Geological Survey. Two main descriptors of soils are groupings of Soil Landscape Units based on a number of factors (soil texture of the rooting zone, soil texture below the rooting zone, drainage, and color), and delineations of Geomorphic Regions, which illustrate broad physiographic features and provide some characterization of the parent materials of the soils. Further soils characterizations are derived from these primary categories. Printed maps were converted to EPPL raster GIS format via grid-cell coding by the Minnesota Land Management Information System at the University of Minnesota (now the Land Management Information Center).; abstract: The Soil Atlas project provides a consistent, statewide map series and GIS data set describing soil and landscape characteristics. The data is generalized. The scale of 1:250,000, or about 1/4 inch to 1 mile, makes it possible to show areas as small as 1 square mile. The data set and maps were created in the 1970's to provide information to support generalized planning over broad areas. The maps were not intended to replace the detailed soil surveys, but to provide a more general overview, and to provide make soil description information available until such a time as soil surveys were completed statewide. The Soil Atlas map series was developed by the Department of Soil, Water, and Climate of the University of Minnesota, in cooperation with the Natural Resources Conservation Service (previously Soil Conservation Service), U.S. Department of Agriculture, and the Minnesota Geological Survey. Two main descriptors of soils are groupings of Soil Landscape Units based on a number of factors (soil texture of the rooting zone, soil texture below the rooting zone, drainage, and color), and delineations of Geomorphic Regions, which illustrate broad physiographic features and provide some characterization of the parent materials of the soils. Further soils characterizations are derived from these primary categories. Printed maps were converted to EPPL raster GIS format via grid-cell coding by the Minnesota Land Management Information System at the University of Minnesota (now the Land Management Information Center).

The Soil Atlas project provides a consistent, statewide map series and GIS data set describing soil and landscape characteristics. The data is generalized. The scale of 1:250,000, or about 1/4 inch to 1 mile, makes it possible to show areas as small as 1 square mile. The data set and maps were created in the 1970's to provide information to support generalized planning over broad areas. The maps were not intended to replace the detailed soil surveys, but to provide a more general overview, and to provide make soil description information available until such a time as soil surveys were completed statewide. The Soil Atlas map series was developed by the Department of Soil, Water, and Climate of the University of Minnesota, in cooperation with the Natural Resources Conservation Service (previously Soil Conservation Service), U.S. Department of Agriculture, and the Minnesota Geological Survey. Two main descriptors of soils are groupings of Soil Landscape Units based on a number of factors (soil texture of the rooting zone, soil texture below the rooting zone, drainage, and color), and delineations of Geomorphic Regions, which illustrate broad physiographic features and provide some characterization of the parent materials of the soils. Further soils characterizations are derived from these primary categories. Printed maps were converted to EPPL raster GIS format via grid-cell coding by the Minnesota Land Management Information System at the University of Minnesota (now the Land Management Information Center).