This dataset represents the county boundaries, as recognized by the Minnesota Department of Transportation. There are 87 counties in Minnesota.
Check other metadata records in this package for more information on County Boundaries Information.
Link to ESRI Feature Service:
County Boundaries in Minnesota: County Boundaries
This is the standard Minnesota State Boundary dataset that is used by MNDNR and many other state agencies. It is derived from the related dataset "County Boundaries, Minnesota" ( http://gisdata.mn.gov/dataset/bdry-counties-in-minnesota ) and is maintained by MNDNR's Lands and Minerals Divsion.
These are the counties in Minnesota that currently have a Story Map. Click on the county you wish to view and select the link to go to the story.
This map shows the free and open data status of county public geospatial (GIS) data across Minnesota. The accompanying data set can be used to make similar maps using GIS software.
Counties shown in this dataset as having free and open public geospatial data (with or without a policy) are: Aitkin, Anoka, Becker, Beltrami, Benton, Big Stone, Carlton, Carver, Cass, Chippewa, Chisago, Clay, Clearwater, Cook, Crow Wing, Dakota, Douglas, Grant, Hennepin, Hubbard, Isanti, Itasca, Kittson, Koochiching, Lac qui Parle, Lake, Lyon, Marshall, McLeod, Meeker, Mille Lacs, Morrison, Mower, Norman, Olmsted, Otter Tail, Pipestone, Polk, Pope, Ramsey, Renville, Rice, Scott, Sherburne, Stearns, Steele, Stevens, St. Louis, Traverse, Waseca, Washington, Wilkin, Winona, Wright and Yellow Medicine.
To see if a county's data is distributed via the Minnesota Geospatial Commons, check the Commons organizations page: https://gisdata.mn.gov/organization
To see if a county distributes data via its website, check the link(s) on the Minnesota County GIS Contacts webpage: https://www.mngeo.state.mn.us/county_contacts.html
This map of Minnesota cities, townships, and counties was published by MnGeo in January 2019. The primary data set for the map is the "Cities, Townships, and Unorganized Territories" (MnCTU) data maintained by the Minnesota Department of Transportation. Other reference data on the map include County Seats and Other Cities, County Boundaries, Interstate, US Trunk, and State Trunk Highways, Major Rivers, Lakes, County and State Boundaries. The download is a PDF file with embedded layers that can be printed at E-scale (36" x 48").
This layer is a component of Natural resources interactive map.
Compilation of 100,000 scale bedrock maps from MGS County Atlas products beginning with C-08, Fillmore County and ending with the newest Atlas, the Bedrock Geology of Lake County Minnesota for a total of 45 100k maps. Because the maps have been created by different authors over a significant time period, the edges of each map do not always align with adjacent maps and for this project no attempt was made to harmonize them. In addition, the map units may also have been change or updated between products separated by several years. However, in this compilation a single attribute table has been developed that includes all of the map labels as well as descriptive text and other fields that allow interpretations to be made between maps. Many of the map units are also part of the 2011 bedrock geologic map of Minnesota which provides another method of interpretation and description. In addition, the source field identifies which Atlas the polygons were originally part of and which will have additional information available about the units. This map is the foundation of a database of 100,000 bedrock mapping in Minnesota that is intended to be updated as new County Atlas mapping is completed and as time permits to be used to develop a common index of bedrock geologic units in Minnesota.
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.
https://www.minnesota-demographics.com/terms_and_conditionshttps://www.minnesota-demographics.com/terms_and_conditions
A dataset listing Minnesota counties by population for 2024.
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 dataset represents the county boundaries, as recognized by the Minnesota Department of Transportation. There are 87 counties in Minnesota.
The 2022 cartographic boundary KMLs 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. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
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 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.
FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13) This data set contains 3-band natural color imagery from the National Agricultural Imagery Program (NAIP). NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition. The source files are 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within +/- 5 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from NAIP. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter buffer on all four sides. NAIP imagery is formatted to the UTM coordinate system using NAD83. NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP imagery that cover the county extent. MrSID compression was used. Target values for the compression ratio are (15:1). (Note: The Minnesota Geospatial Information Office (MnGeo) has created this metadata record to describe the entire NAIP2009 dataset, using information from Farm Service Agency metadata. Each county file is accompanied by the original FSA metadata for that county.)
description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
This set of GeoTIFF and EPPL7 files represents the Minnesota Department of Transportation's County Highway Map Series in georeferenced image formats. These images of the standard Mn/DOT County Highway Map product can be used in GIS systems and overlayed with other GIS information. The origin of this data is Mn/DOT's Microstation CAD system, where all linework, feature type coding, and symbolization is stored and updated. To produce these data sets, Mn/DOT exported the data from Microstation into postscript files. LMIC then imported the data into GIS systems for georeferencing and further processing. The GeoTIFF data are distributed in both County Highway Map map sheet and full county extents; EPPL7 data sets are distributed only as full county files. Map collars have been removed. This data set represents the Mn/DOT County Highway Map as of January 1, 2002.
Map Catalog is powered by the Memento Server software and provides a continuous view across multiple geospatial PDFs. The PDF maps currently available are 1K USNG (topo and aerial) maps from four metro counties(Anoka, Carver, Dakota and Ramsey), 1K USNG Topo of cities and state parks in Minnesota, 10K USNG Aerial maps for Minnesota, US Topo for the metro and Dakota County Park maps, City Street maps and Half Section maps. Map update frequency varies.
NCED is currently involved in researching the effectiveness of anaglyph maps in the classroom and are working with educators and scientists to interpret various Earth-surface processes. Based on the findings of the research, various activities and interpretive information will be developed and available for educators to use in their classrooms. Keep checking back with this website because activities and maps are always being updated. We believe that anaglyph maps are an important tool in helping students see the world and are working to further develop materials and activities to support educators in their use of the maps.
This website has various 3-D maps and supporting materials that are available for download. Maps can be printed, viewed on computer monitors, or projected on to screens for larger audiences. Keep an eye on our website for more maps, activities and new information. Let us know how you use anaglyph maps in your classroom. Email any ideas or activities you have to ncedmaps@umn.edu
Anaglyph paper maps are a cost effective offshoot of the GeoWall Project. Geowall is a high end visualization tool developed for use in the University of Minnesota's Geology and Geophysics Department. Because of its effectiveness it has been expanded to 300 institutions across the United States. GeoWall projects 3-D images and allows students to see 3-D representations but is limited because of the technology. Paper maps are a cost effective solution that allows anaglyph technology to be used in classroom and field-based applications.
Maps are best when viewed with RED/CYAN anaglyph glasses!
A note on downloading: "viewable" maps are .jpg files; "high-quality downloads" are .tif files. While it is possible to view the latter in a web-browser in most cases, the download may be slow. As an alternative, try right-clicking on the link to the high-quality download and choosing "save" from the pop-up menu that results. Save the file to your own machine, then try opening the saved copy. This may be faster than clicking directly on the link to open it in the browser.
World Map: 3-D map that highlights oceanic bathymetry and plate boundaries.
Continental United States: 3-D grayscale map of the Lower 48.
Western United States: 3-D grayscale map of the Western United States with state boundaries.
Regional Map: 3-D greyscale map stretching from Hudson Bay to the Central Great Plains. This map includes the Western Great Lakes and the Canadian Shield.
Minnesota Map: 3-D greyscale map of Minnesota with county and state boundaries.
Twin Cities: 3-D map extending beyond Minneapolis and St. Paul.
Twin Cities Confluence Map: 3-D map highlighting the confluence of the Mississippi and Minnesota Rivers. This map includes most of Minneapolis and St. Paul.
Minneapolis, MN: 3-D topographical map of South Minneapolis.
Bassets Creek, Minneapolis: 3-D topographical map of the Bassets Creek watershed.
North Minneapolis: 3-D topographical map highlighting North Minneapolis and the Mississippi River.
St. Paul, MN: 3-D topographical map of St. Paul.
Western Suburbs, Twin Cities: 3-D topographical map of St. Louis Park, Hopkins and Minnetonka area.
Minnesota River Valley Suburbs, Twin Cities: 3-D topographical map of Bloomington, Eden Prairie and Edina area.
Southern Suburbs, Twin Cities: 3-D topographical map of Burnsville, Lakeville and Prior Lake area.
Southeast Suburbs, Twin Cities: 3-D topographical map of South St. Paul, Mendota Heights, Apple Valley and Eagan area.
Northeast Suburbs, Twin Cities: 3-D topographical map of White Bear Lake, Maplewood and Roseville area.
Northwest Suburbs, Mississippi River, Twin Cities: 3-D topographical map of North Minneapolis, Brooklyn Center and Maple Grove area.
Blaine, MN: 3-D map of Blaine and the Mississippi River.
White Bear Lake, MN: 3-D topographical map of White Bear Lake and the surrounding area.
Maple Grove, MN: 3-D topographical mmap of the NW suburbs of the Twin Cities.
Animal Ordinances is an interactive web map that provides a simple Minnesota county map over Google Maps. When a county is selected by clicking on it, a brief set of information about Animal Ordinances in that county is provide. Additionally, a link to the full ordinance is provided.
This dataset represents the county boundaries, as recognized by the Minnesota Department of Transportation. There are 87 counties in Minnesota.
Check other metadata records in this package for more information on County Boundaries Information.
Link to ESRI Feature Service:
County Boundaries in Minnesota: County Boundaries