If there are any issues with the data in this map, service, or shp file please contact the Minneapolis GIS office.

This layer is a component of Natural resources interactive map.

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.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles 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 boundaries of most incorporated places in this shapefile are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2022 BAS as well.

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 is the feature map service for the City of Minneapolis City Park Commissioner District Boundaries that were redistricted and adopted in March 2nd, 2022. These boundaries also serve as the Minneapolis Public School Board Districts.

Moorhead MN City Limits for Open Data Site.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Exterior boundary, Annexation boundary, and County boundary coverages are examined to remove all overshoots, unwanted intersections; insure polygons are closed; and to see that there are no missing or duplicate polygon labels. Each symbolic layer is individually examined for completeness. There is no line duplication in exterior or annexation coverages. MCD's with detached or non-contiguous units (polygons) have the same polygon link/label code in each of their units. Completeness in the checking process is examined through the examination and comparison of all detail collected by County Staff. Sources used included: City Clerks, County Auditor's Office, Washington County Historical Courthouse, MN State Historical Society, Secretary of State, Minnesota Municipal Board, and MNDOT. https://www.co.washington.mn.us/1609/Municipal-Boundaries

This is the feature map service for the City of Minneapolis City Council Ward Boundaries that were redistricted and adopted in April of 2012. These boundaries took effect January 1, 2014.

The major water bodies within the Minneapolis city limits. Includes polygons for the Mississippi River, major lakes, and streams. If there are any issues with the data in this map, service, or shp file please contact the Minneapolis GIS office.

This is the feature map service for the City of Minneapolis City Council Ward Boundaries that were redistricted and adopted on April 18th of 2002.

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.

This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,772 block groups in Minneapolis/St. Paul, Minnesota. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company 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).

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

For questions about this data please contact HealthOpenData@minneapolismn.govFor more information about Air Quality in the City of Minneapolis, check the Health Department's page on the City websiteAttribute InformationDate – The month and year during which this sample was collected. Each sample is collected over a period of 72-hours. The exact dates of collection are not specified on this dataset.Can ID – A unique identifier for this sample and is determined by concatenating the collecting Summa canister’s identification number with the month and year of collection.Parameter – The chemical (for this study, all are Volatile Organic Compounds, or VOCs) for which the result is reported.Results – The amount of the particular VOC (parameter) detected in this sample. All results above the detection limit are reported in this dataset.Units – The units in which the result is reported. All results are reported in units of micrograms per cubic meter (µg/m3).CAS – The CAS Registry Number, also referred to as CASRN or CAS Number, is a unique numerical identifier assigned by Chemical Abstracts Service to every chemical substance described in the open scientific literature.HRV – A Health Risk Value (HRV) is the concentration of a chemical that is likely to pose little or no risk to human health and is being used by our study as a reference level for comparing the results. Most HRVs are expressed as concentrations of micrograms of chemical per cubic meter of air (µg/m3). HRVs are developed to protect human health for a specified length of exposure (e.g., one hour, 13 weeks, a lifetime). In cases where an HRV promulgated using the public process described in the Administrative Procedures Act (Minnesota Statutes Chapter 14) was not available as a reference level, we instead used the recommended exposure limit (REL) from the National Institute for Occupational Safety and Health (NIOSH) or the permissible exposure limit (PEL) from the Occupational Safety and Health Administration (OSHA), selecting the most conservative level. For purposes of our study, all reference levels (HRVs, RELs, and PELs) will be referred to as a Health Risk Value.Units - The units associated with the HRV, REL, or PEL reference level. All reference levels have been converted to units of micrograms per cubic meter (µg/m3).HRV Types – The type (HRV, REL, or PEL) of reference level selected. For the purpose of this study, all are referred to as a Health Risk Value. The value selected was the lowest, most conservative value.Name – The name of the location. Volunteer names and business names are left blank.Description – The type of location where the canister was placed. Volunteer locations are typically residential sites where the property owner/occupant hosts a sampling Summa canister. Business locations, which are also VOC emitters, who are voluntarily participating in the study. MPCA locations are sites of existing Minnesota Pollution Control Agency air monitors sampling for VOCs where a sampling Summa canister is placed for data comparison. MPRB locations are Minneapolis Park and Recreation Board properties. Sponsored locations are sites where the community has paid for additional sampling Summa canisters to be placed.Address – The address at or near where the sampling Summa canister was placed.City – For mapping purposes, we have included the city where the sampling Summa canister was placed (all are within the Minneapolis boundary).State – For mapping purposes, we have included the state where the sampling Summa canister was placed.Zip – For mapping purposes, we have included the zip code where the sampling Summa canister was placed.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The Regional Transit Authority Service Areas dataset identifies the service areas of the five regional transit authorities/providers within the Minneapolis-St. Paul Metropolitan Area (includes the 7-county area as defined by the Metropolitan Council). To identify the service areas of the five regional transit authorities/providers within the Minneapolis-St. Paul Metropolitan Area for general mapping and analysis purposes. Regional Transit Authority Service Areas are current as of January 30, 2015. The city and township boundaries used to create this dataset were derived from the Counties and Cities & Townships, Twin Cities Metropolitan Area dataset. That dataset is updated on a quarterly basis. This dataset is then recreated quarterly from those boundaries.

Feature Layer dataset showing damaged properties due to the civil unrest that occurred in the City of Minneapolis during the week of May 25 - May 29, 2020. FAQ'sWhy was the data compiled?

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To get a clear understanding of the extent of damage to the City as well as to begin the recovery process.

How was the data collected?

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Several teams were sent out and used grid maps to travel every street within the City Boundary. Teams used an application where they assigned a level of damage to buildings to pin point them.

What do the different levels mean?

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Affected: Affected: (0-25%): Habitable, Cosmetic damage to roof or siding, Damage to landscape and trees (no impact to access), Wet basement w/no damage, Cosmetic damage only

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Minor: (25-50%): Uninhabitable, ≤18" of water in living spaces, Damage to mechanical components, Non-structural damage to roof, Chimney damage, Non-structural damage to interior/exterior components, Multiple vertical cracks in Foundation, Damage/contamination to well and septic systems, Skirting, HVAC, and non-structural components have been impacted

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Major: (50-75%): Uninhabitable, >18" of water in living spaces, Any water on main floor w/water filled basement, Failure or partial failure of foundation, Failure or partial failure of roof or exterior walls, Failure or partial failure of structural elements of walls, Water in the floor system, Foundation damage or displacement

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Destroyed: (>75%): Uninhabitable, Failure of ≥2 structural components, Threat of destruction, Frame is compromised-MH, Roof system is missing

Local Government Debt Limit: Yunnan: Yuxi data was reported at 77,580.000 RMB mn in 2023. This records an increase from the previous number of 73,633.000 RMB mn for 2022. Local Government Debt Limit: Yunnan: Yuxi data is updated yearly, averaging 68,776.000 RMB mn from Dec 2018 (Median) to 2023, with 6 observations. The data reached an all-time high of 77,580.000 RMB mn in 2023 and a record low of 59,160.000 RMB mn in 2018. Local Government Debt Limit: Yunnan: Yuxi data remains active status in CEIC and is reported by Yuxi Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt Limit: Prefecture Level City.