Chart and table of population level and growth rate for the state of Michigan from 1900 to 2024.

This graph shows the population density in the federal state of Michigan from 1960 to 2018. In 2018, the population density of Michigan stood at ***** residents per square mile of land area.

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) System (MTS). The MTS 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 because of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division 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 Bureau 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.

Resident Population in Michigan was 10140.45900 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Michigan reached a record high of 10140.45900 in January of 2024 and a record low of 2423.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Michigan - last updated from the United States Federal Reserve on September of 2025.

SEMCOG"s Demographic Emphasis Areas tool is great for dynamically visualizing demographic indicators in Southeast Michigan. The map allows the user to look at combinations of indicators and visualize the data on the fly. Use this dataset to extend the capabilities of the online map.This tool has over 20 indicators across 2 geography types (Community and Census Tracts).IndicatorsMinorityNon-Hispanic BlackHispanicNon-Hispanic AsianOther Non-White Non-Hispanic RacesYouthPopulation Age 5 to 17Disengaged YouthOlder AdultsDisabilityPersons in PovertyForeign BornHouseholds in PovertyLimited English ProficiencyTransit Dependent HouseholdsNo Car HouseholdsFemale Headed HouseholdsHousing Cost BurdenMedian Household IncomeUnemployment RateMedian Income

Map Flint - Feature Service layer(s) : ACS5YR 2010-2014 estimates for UM-Flint U.S. EDA Region (MEDC Region 6), Michigan, USA by county of Population.

Data Dictionary: https://mapflint.org/dictionaries/2014_EDA_by_county_ACS5YR_Population_vars001_data_dictionary.pdf

Note: Layer(s) not initially visible and must be turned on.

This feature layer is an American Community Survey (ACS) estimate (U.S. Census Bureau) that is derived from the National Historical Geographic Information System (NHGIS) and has been customized for various Map Flint analyses and projects pertaining to the City of Flint, Genesee County, Michigan U.S.A. and other surrounding counties - e.g., counties and communities in the greater Flint vicinity that also overlap with the mission of the University of Michigan-Flint EDA University Center for Community and Economic Development. All NHGiS layers in Map Flint projects maintain the uniquely-valued GISJOIN geographic ID assigned by the NHGIS in order to work with multiple data sets.

For more information, visit https://mapflint.org

A dataset listing Michigan counties by population for 2024.

Census Designated Places (CDPs) from the Michigan Geographic Framework (MGF) base map. These are the statistical counterparts of incorporated places, and 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 usually are defined in cooperation with local or tribal officials and generally updated prior to each decennial census. These boundaries, which usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity boundary, have no legal status, nor do these places have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. CDPs must be contained within a single state and may not extend into an incorporated place. There are no population size requirements for CDPs.More Metadata

This data is used in the Materials Management Facilities Web App (Item Details). From the Michigan Association of Regions (MAR) website: "The Michigan Association of Regions is a state association of the fourteen (14) regional councils in Michigan. MAR consists of a policy board of local elected and appointed officials that meets periodically to discuss regional policy issues and programs, and adopts legislative positions. MAR also has an Executive Directors Committee that meets monthly. Member services consists of advocacy of regional programs, training and education, research, membership surveys, networking, as well as liaison to national associations, including the National Association of Regional Councils (NARC) and the National Association of Development Organizations (NADO).State Designated Planning and Development Regions are voluntary organizations comprised of local governments dedicated to serving the regional planning needs of multi-county areas in all parts of Michigan. They are a form of local government voluntarily created by their members, which are largely representative of local governments in the region; although membership also includes road authorities, nonprofit organizations and representatives of the business community in many regions.The land area of Michigan is divided into 14 planning & development regions with counties as the organizing unit. They range widely in size. Five have only three counties, while one has fourteen counties. The two smallest are only 1,711-13 square miles each in size, while the largest is 8,735 square miles in size. Population served varies from 57,510 persons to 4,833,493 based on Census estimates in 2000. Population density ranges from under 14 persons/square mile in Region 13 (Western U.P.), to over 1,043 persons/square mile in Region 1 (Southeast Michigan). The oldest of today’s regions, Tri-County Regional Planning Commission (Region 6 in Lansing, formed in 1956), and the three county Detroit Metropolitan Area Regional Planning Commission (formed in 1947and subsequently replaced by the Southeast Michigan Council of Governments in 1968 (SEMCOG, which covers seven counties in SE Michigan), originated out of a desire by local officials to coordinate transportation infrastructure planning and to serve as a forum for other regional issues."These boundaries are static and were digitized from boundaries shared on the Michigan Association of Regions (MAR) website in March 2023. They were digitized for inclusion on the Materials Management Division's facilities web map. For questions or comments, reach out to EGLE-Maps@Michigan.gov.

Resident Population in Michigan City-La Porte, IN (MSA) was 111.34800 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Michigan City-La Porte, IN (MSA) reached a record high of 112.55200 in January of 2021 and a record low of 108.59000 in January of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Michigan City-La Porte, IN (MSA) - last updated from the United States Federal Reserve on September of 2025.

Created from USGS 7.5 minute Topographic Quadrangles. MIRIS digital base maps used as control reference. Identifies watershed boundaries and the direction of the water flow.

This polygon dataset represents county boundaries and population data in China from the 2000 Census. This dataset also includes detailed demographic data such as: sex and age statistics, litteracy, employment, and professions, and birth and death rates. These data were primarily based on the "The Administrative Maps of the People's Republic of China, published by China Map Press.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More

The 2023 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. 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 and beyond, 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.

The 2016 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 records in this file allow users to map the parts of Urban Areas that overlap a particular county.

After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.

The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

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 and beyond, 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.

Map Flint - Feature Service layer(s) : ACS5YR 2011-2015 estimates for City of Flint, Michigan, USA by tract of Population Unweighted Sample.

Data Dictionary: https://mapflint.org/dictionaries/2015_Flint_by_tract_ACS5YR_Population_Unweighted_Sample_vars001_data_dictionary.pdf

Note: Layer(s) not initially visible and must be turned on.

This feature layer is an American Community Survey (ACS) estimate (U.S. Census Bureau) that is derived from the National Historical Geographic Information System (NHGIS) and has been customized for various Map Flint analyses and projects pertaining to the City of Flint, Genesee County, Michigan U.S.A. and other surrounding counties - e.g., counties and communities in the greater Flint vicinity that also overlap with the mission of the University of Michigan-Flint EDA University Center for Community and Economic Development. All NHGiS layers in Map Flint projects maintain the uniquely-valued GISJOIN geographic ID assigned by the NHGIS in order to work with multiple data sets.

For more information, visit https://mapflint.org

This polygon shapefile contains county boundaries and population data for China from the 1964 Census. These data were primarily based on "The Historical Administrative Maps of the People's Republic of China" published by China Map Press.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

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) System (MTS). The MTS 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. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other censuses and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a five-character numeric census code that may contain leading zeros and a descriptive name.

The 2019 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 records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

This feature layer MiEJScreen Category: Sensitive Populations, consists of the overall category and 5 indicators (a-e)3) Population Characteristics: Sensitive Populations

----a) Asthma Emergency Room Discharges

----b) Cardiovascular Disease Hospital Visits

----c) Low Birth Weight Infants

----d) Lead Blood Level

----e) Life ExpectancyNote that this data is static and is not being maintained. It is used in the MiEJScreen, a screening tool that provides percentile scoring of various environmental, health, and socioeconomic indicators to measure relative environmental risk factors in communities. The percentile scores allow comparison on various factors that may contribute to disparities within a community and between communities but are not absolute values. This map does not model overall burden on communities, nor does it reflect the actual number of individuals affected by potential environmental risk factors. The map also does not model the positive or negative likelihood of an individual health outcome. It should not be used to diagnose a community health issue, label a community, or attribute risk factors and exposures for specific individuals. Additional analysis would be necessary to make decisions on health outcomes that may be associated with the environmental risk factors. This map is intended to be a dynamic, informative tool. MiEJScreen is not a decision-making tool. While certain data from the tool may be used as allowed by law to inform decisions, such as community engagement, data from the tool, by itself, does not determine the existence or absence of environmental justice concerns in a given location or provide risk assessments. More information on caveats and limitations can be found at Michigan.gov/EGLE/Maps-Data/MiEJScreen. If you have questions regarding the data or layers contact EGLE-EnvironmentalJustice@michigan.gov.