This geospatial dataset depicts ownership patterns of forest land across Michigan, circa 2019. The data sources are listed below. The first seven sources of data supersede the final data source. The final data source is modeled from Forest Inventory and Analysis points from 2012-2017 and the most up-to-date publicly available boundaries of federal, state, and tribal lands.1.MI_State_Boundary_Census_Gov_2019.shp (State of MI boundary) clipped from cb_2019_us_state_500k from https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.html2.NPS_Land_Resources_Division_MI.shp clipped from NPS_-_Land_Resources_Division_Boundary_and_Tract_Data_Service-shp taken from https://public-nps.opendata.arcgis.com/datasets/nps-land-resources-division-boundary-and-tract-data-service/data?layer=1Published December 12, 2019This service depicts National Park Service tract and boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. The data accuracy is checked against best available sources which may be dated and vary by location. NPS assumes no liability for use of this data. The boundary polygons represent the current legislated boundary of a given NPS unit. NPS does not necessarily have full fee ownership or hold another interest (easement, right of way, etc...) in all parcels contained within this boundary. Equivalently NPS may own or have an interest in parcels outside the legislated boundary of a given unit. In order to obtain complete information about current NPS interests both inside and outside a unit’s legislated boundary tract level polygons are also created by NPS Land Resources Division and should be used in conjunction with this boundary data. To download this data directly from the NPS go to https://irma.nps.gov/App/Portal/Home Property ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service (NPS) shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. Terms of UseProperty ownership data is compiled from deeds, plats, surveys, and other source data. These are not engineering quality drawings and should be used for administrative purposes only. The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.3.Isle Royale.shp only Isle Royale clipped from MI_State_Boundary_Census_Gov_2019.shp4.FWSInterest_MI.shp (U.S. Fish and Wildlife Service) clipped from FWSInterest from FWSInterest_Apr2020.zipfrom https://www.fws.gov/gis/data/CadastralDB/index_cadastral.html (being moved on 6/26/2020)Use inttype1 = OThis data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. It may also include inholdings that are not administered by USFWS. The primary source for this information is the USFWS Realty program.5.surfaceownership_MI.shp (U.S. National Forest Service) clipped from S_USA.SurfaceOwnership.gdb and downloaded fromhttps://data.fs.usda.gov/geodata/edw/datasets.phphttps://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=surfaceownershiprefreshed May 26, 2020Used NFSLandU_4 field and surfaceO_3 and surfaceO_3 to identify NFS parcelsAn area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries.6.MichiganDNR_02062020.shp (State of Michigan) from the State of MI delivered @ email on 5/14/2020Has State forests, State Wildlife areas, and State parks.7.The previous public ownership layers supersede this Sass et al. (2020) layer.In Sass et al. (2020), the nonforest areas are masked out.Identification_Information:Citation:Citation_Information:Originator: Sass, Emma M.Originator: Butler, Brett J.Originator: Markowski-Lindsay, Marla Publication_Date: 2020Title:Estimated distribution of forest ownership across the conterminous United States – geospatial datasetGeospatial_Data_Presentation_Form: raster digital dataPublication_Information:Publication_Place: Fort Collins, COPublisher: Forest Service Research Data ArchiveEight values of ownership type:1 = Family (Private): Owned by families, individuals, trusts, estates, family partnerships, and other unincorporated groups of individuals that own forest land. FIACode 45.2 = Corporate (Private): Owned by corporations. FIA Code 41.3 = TIMO/REIT (Private): Owned by Timber Investment Management Organizations or Real Estate Investment Trusts. Included in FIA Code 414 = Other Private (Private): Owned by conservation and natural resource organizations, unincorporated partnerships and associations. FIA Codes 42-43.5 = Federal (Public): Owned by the federal government. FIA Codes 11-13, 21-25.6 = State (Public): Owned by a state government. FIA Code 31.7 = Local (Public): Owned by a local government. FIA Code 32.8 = Tribal: Owned by Native American tribes. FIA Code 44.8.FIA inventory units developed by FIA, 2020

Property Gateway is a leading-edge Internet tool built to provide free and fee-based online access to Oakland County's land and property information including tax parcel reports and maps. Reports and maps can be purchased via a credit card transaction; recurring users request a business account. Visit Property Gateway, HERE.

Oakland County's public-facing parcel viewer. Oakland County staff and CVTs can request free accounts by contacting the Oakland County Service Center (servicecenter@oakgov.com, 248-858-8812). More information about the products available in Property Gateway can be found here: https://www.oakgov.com/propertygateway/Pages/default.aspx.

Parcel boundary from Kent County GIS Data Library, available at https://www.accesskent.com/GISLibrary/.This data is used in the North Kent Disposal Area PFAS web map. If you have questions regarding the North Kent Disposal Area site contact Karen Vorce at 616-439-8008 or vorcek@michigan.gov.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This data is intended as a reference material of street and alley vacations, but not designed for survey, accurate positioning, or legal documents. It is created as polygon feature class, vacation information based on field measurements, types of Right of Way, and citations of Journal of the Common Council (J.C.C.) and the plat Liber and Page is listed under the column titled 'Sub_Plat'. The paper maps of the Street and Alley Vacation, the raster layer version of those maps (Linen Map Markup Mosaic), and the Detroit parcel layer are used as base maps to create this data.

The street and alley vacations were recorded from 1831 to 2022 throughout the whole city, and it will be updated weekly. The existed and/or active street and alley vacations are ready to view, the authors are working on pending and historical records.

Spatial Reference: WGS 1984 Web Mercator Auxiliary Sphere

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.
A spatial representation of Tax Parcels. Key attributes include KeyPIN. The KeyPIN is the unique parcel identification number used to link the tax parcel to the parcel attributes which are stored and maintained in Oakland County land records.

There is no definite accuracy related to parcel boundaries. The information shown on these maps is for representation purposes only and is not intended to be a legally recorded map or survey. The information was compiled from a number of sources including recorded deeds, plats, tax maps surveys and other public records and data. Users of this data should consult the information sources listed above for verification of the information.

SEMCOG's 2020 land use layer contains one polygon for each of 20 land use categories present in each community. Land use in the City of Detroit is further subdivided by the city's 55 master plan neighborhhoods. The land use categories are as follows: Single-Family Housing, Attached Condo Housing, Multi-Family Housing, Mobile Home, Agricultural / Rural Res, Mixed Use, Retail, Office, Hospitality, Medical, Institutional, Industrial, Recreation / Open Space, Cemetery, Golf Course, Parking, Extractive, TCU, Vacant, and Water.Notes:1. Agricultural / Rural Res includes any residential parcel containing 1 or more homes where the parcel is 3 acres or larger.2. Mixed Use includes those parcels containing buildings with Hospitality, Retail, or Office square footage and housing units.3. Parcels that do not have a structure assigned to the parcel are considered vacant unless otherwise indicated, even if the parcel is part of a larger development such as a factory, school, or other developed series of lots.

This dataset comes from the Department of Licensing and Regulatory Affairs' Office of Land Survey and Remonumentation (OLSR). See Act 345 of 1990: State Survey and Remonumentation Act for more information.The system of record was queried for approved locations where grid coordinates were provided. Records with coordinates outside the state's geographical boundary were retained (34 locations). The columns "DMS LAT" and "DMS LONG" were added to the extraction table and populated with data from fields "Latitude N" and "Longitude W" and formatted to DMS2. The data was exported as feature class using geoprocessing tool "Convert Coordinate Notation," geographic coordinate system WGS 1984 Web Mercator (auxiliary sphere).This dataset was last updated June 6, 2022, with quarterly updates to begin in 2023.More Metadata

Download In State Plane Projection Here. This is our working version of the Lake County boundary. Although technically the county's eastern border extends eastward into Lake Michigan to the state line where Illinois meets Michigan, we routinely use the Lake Michigan shoreline as our eastern boundary for mapping purposes. The north, west and south boundaries are based on a compilation of survey data which aligns well, but not perfectly, with the border as mapped by neighboring counties and the State of Wisconsin, which forms the northern boundary of the county. Update Frequency: This dataset is updated on a weekly basis.

This file identifies likely public ownership based on several categorizations. These include the City of Detroit, the Detroit Land Bank Authority, the Michigan Land Bank Fast Track Authority, the State of Michigan, Wayne County, the United States Government, the Detroit Water and Sewerage Department, and Detroit Public Schools. The ownership information generally dates from 2013 to early 2014; see the field description metadata for further information.DISCLAIMER: This file seeks to identify parcels that are owned by a governmental or other public entity. However, ownership of properties changes frequently, particularly between public entities, and the data sources that this file is built from date from 2013 through the spring of 2014. Since there has been considerable time for the ownership of some of these properties to change, D3 is producing this file as an indicator of Likely Public Ownership.This file is intended to help highlight the breadth and scale of public ownership in the City of Detroit, and any decisions based off of this file should be confirmed through investigating legal ownership records.Metadata associated with this file includes field description metadata and a narrative summary detailing the creation of the dataset.For more information on the Motor City Mapping project, please visit www.motorcitymapping.org.

description: This map was produced by the Division of Realty to depict landownership at Michigan Islands National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.; abstract: This map was produced by the Division of Realty to depict landownership at Michigan Islands National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

The map is for providing a visual, geographic relationship to Land Corner Records collected by the department, both through design survey activities and monument preservation activities. It is made available to act as a repository and access point for these records.This dataset is comprised of records collected from MDOT’s project files during the course of a project. Corner certificates are not available for all corners. Surveyors completing research on PLSS records should use this to supplement research conducted at the local county register of deeds office.

State Government Tax Collections, Property Taxes in Michigan was 2592924.00000 Thous. of $ in January of 2024, according to the United States Federal Reserve. Historically, State Government Tax Collections, Property Taxes in Michigan reached a record high of 2803017.00000 in January of 2004 and a record low of 13367.00000 in January of 1944. Trading Economics provides the current actual value, an historical data chart and related indicators for State Government Tax Collections, Property Taxes in Michigan - last updated from the United States Federal Reserve on July of 2025.

State Tax Collections: T01 Property Taxes for Michigan was 84.00000 Mil. of U.S. $ in January of 2025, according to the United States Federal Reserve. Historically, State Tax Collections: T01 Property Taxes for Michigan reached a record high of 1884.00000 in October of 2024 and a record low of -23.00000 in January of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for State Tax Collections: T01 Property Taxes for Michigan - last updated from the United States Federal Reserve on July of 2025.

This list of full-line grocery stores was ground-truthed between June - December 2013 as part of the Detroit Food Map project surveying nutritional access in Detroit's grocery stores. These 77 full-line grocery stores were checked against a list from the Detroit Economic Growth Corporation (DEGC). The definition of a full-line grocery store is one that sells a line of dry groceries, canned goods, or nonfood items as well as perishable items such as fresh produce, meat, and dairy products. Source: http://detroitfoodmap.com .

Market Hotness: Listing Views per Property in Jackson County, MI was 0.24170 % Chg. in May of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Jackson County, MI reached a record high of 57.76399 in May of 2020 and a record low of -19.74564 in November of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Jackson County, MI - last updated from the United States Federal Reserve on July of 2025.