72 datasets found
  1. D

    Detroit 2020 Census Tracts & Zipcodes

    • detroitdata.org
    Updated Jan 25, 2024
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    Data Driven Detroit (2024). Detroit 2020 Census Tracts & Zipcodes [Dataset]. https://detroitdata.org/dataset/detroit-2020-census-tracts-zipcodes
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    Data Driven Detroit
    Area covered
    Detroit
    Description

    All zip codes and 2020 census tract boundaries defined by the U.S. Census Bureau within the city of Detroit.

  2. N

    Detroit, TX Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Detroit, TX Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Detroit from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/detroit-tx-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Detroit, Texas
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Detroit population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Detroit across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Detroit was 707, a 0.57% increase year-by-year from 2022. Previously, in 2022, Detroit population was 703, a decline of 0% compared to a population of 703 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Detroit decreased by 75. In this period, the peak population was 782 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Detroit is shown in this column.
    • Year on Year Change: This column displays the change in Detroit population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Detroit Population by Year. You can refer the same here

  3. N

    Detroit, TX Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Detroit, TX Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/5247bf27-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Detroit, Texas
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Detroit, TX population pyramid, which represents the Detroit population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Detroit, TX, is 24.3.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Detroit, TX, is 19.8.
    • Total dependency ratio for Detroit, TX is 44.1.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Detroit, TX is 5.1.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Detroit population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Detroit for the selected age group is shown in the following column.
    • Population (Female): The female population in the Detroit for the selected age group is shown in the following column.
    • Total Population: The total population of the Detroit for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Detroit Population by Age. You can refer the same here

  4. D

    2020 Census Response Rates

    • detroitdata.org
    Updated Aug 20, 2020
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    Data Driven Detroit (2020). 2020 Census Response Rates [Dataset]. https://detroitdata.org/dataset/2020-census-response-rates
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Aug 20, 2020
    Dataset provided by
    Data Driven Detroit
    Description
    Census Response Rate Information: In order to help communities target their Census outreach activities, this map provides overall and internet response rates by tract for the state of Michigan. In Detroit, we included neighborhood boundaries and community development organization service areas. The map also includes the Census Invitation type, allowing communities to see how initial outreach was conducted and in what language. The 2020 Response Rate data will be updated daily

    Census Form Strategy information: This map contains initial invitation strategies for the 2020 Census by tract for the state of Michigan. Some households will receive an invitation to complete their census form online (or by phone), while other households will receive a paper census questionnaire along with an invitation to respond online. All households that have not completed their census form by mid-April will receive a paper questionnaire. Some households will receive their invitation in English, while others will receive their in English and Spanish. This map has color coded census tracts depending on if they received an initial paper or online invitation, and if their invitation will be in English or English and Spanish.
  5. N

    Detroit, IL Age Group Population Dataset: A Complete Breakdown of Detroit...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Detroit, IL Age Group Population Dataset: A Complete Breakdown of Detroit Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/451e09e4-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Illinois, Detroit
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Detroit population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Detroit. The dataset can be utilized to understand the population distribution of Detroit by age. For example, using this dataset, we can identify the largest age group in Detroit.

    Key observations

    The largest age group in Detroit, IL was for the group of age 55 to 59 years years with a population of 10 (32.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Detroit, IL was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Detroit is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Detroit total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Detroit Population by Age. You can refer the same here

  6. TIGER/Line Shapefile, Current, State, Michigan, Census Tract

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Michigan, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-michigan-census-tract
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Michigan
    Description

    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.

  7. QuickFacts: Detroit city, Michigan

    • census.gov
    csv
    Updated Feb 25, 2022
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2022). QuickFacts: Detroit city, Michigan [Dataset]. https://www.census.gov/quickfacts/fact/faq/detroitcitymichigan/POP010210
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 25, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Detroit, Michigan
    Description

    U.S. Census Bureau QuickFacts statistics for Detroit city, Michigan. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  8. D

    City of Detroit ZIP Code Tabulation Areas (ZCTAs)

    • detroitdata.org
    • data.ferndalemi.gov
    Updated Feb 8, 2024
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    City of Detroit (2024). City of Detroit ZIP Code Tabulation Areas (ZCTAs) [Dataset]. https://detroitdata.org/dataset/city-of-detroit-zip-code-tabulation-areas-zctas
    Explore at:
    zip, html, kml, gdb, gpkg, xlsx, geojson, csv, arcgis geoservices rest api, txtAvailable download formats
    Dataset updated
    Feb 8, 2024
    Dataset provided by
    City of Detroit
    Area covered
    Detroit
    Description

    US Census Bureau ZIP Code Tabulation Areas (ZCTAs) found within or partially within the borders of the City of Detroit.


    ZCTAs are a geographic product of the U.S. Census Bureau created to allow mapping, display, and geographic analyses of the United States Postal Service (USPS) Zone Improvement Plan (ZIP) Codes dataset. They are areal representations of ZIP Codes, and not all ZIP Codes are represented by ZCTAs (for example, ZIP Codes associated with PO Boxes). For a list of all ZIP Codes within or partially within the borders of the City of Detroit, please refer to our City of Detroit USPS Zone Improvement Plan (ZIP) Codes dataset.

    More information on ZCTAs, and how they differ from ZIP Codes, can be found on the US Census Bureau's website.

  9. D

    Michigan Census Tract Changes: 2010 to 2020

    • detroitdata.org
    Updated Sep 20, 2021
    + more versions
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    Data Driven Detroit (2021). Michigan Census Tract Changes: 2010 to 2020 [Dataset]. https://detroitdata.org/dataset/michigan-census-tract-changes-2010-to-2020
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 20, 2021
    Dataset provided by
    Data Driven Detroit
    Area covered
    Michigan
    Description

    {{description}}

  10. M

    Detroit Metro Area Population (1950-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Detroit Metro Area Population (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/cities/22974/detroit/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1950 - Jul 5, 2025
    Area covered
    United States, Detroit Metropolitan Area
    Description

    Chart and table of population level and growth rate for the Detroit metro area from 1950 to 2025.

  11. 2020 Decennial Census: H4T | TENURE (NATIVE HAWAIIAN AND OTHER PACIFIC...

    • data.census.gov
    + more versions
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    DEC, 2020 Decennial Census: H4T | TENURE (NATIVE HAWAIIAN AND OTHER PACIFIC ISLANDER ALONE, HISPANIC OR LATINO HOUSEHOLDER) (DEC Demographic and Housing Characteristics) [Dataset]. https://data.census.gov/table/DECENNIALDHC2020.H4T?q=Detroit+city,+Wayne+County,+Michigan+Other&t=Housing+Units
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    DEC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2020
    Description

    Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

  12. D

    DWSD Imperviousness of Census Tracts (2019)

    • detroitdata.org
    Updated Oct 27, 2021
    + more versions
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    City of Detroit (2021). DWSD Imperviousness of Census Tracts (2019) [Dataset]. https://detroitdata.org/dataset/dwsd-imperviousness-of-census-tracts-2019
    Explore at:
    kml, csv, html, arcgis geoservices rest api, geojson, zipAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    City of Detroit
    Description

    This feature service was created by calculating the percentage and acreage of impervious surface within census tract polygons. Impervious surface data used in this calculation is from 2019. Created using 2020 Detroit census tracts.


    This feature service will not be updated. Instead, new services will be created once DWSD receives new impervious surface data.

    If there are any questions about this data, please email dwsdGIS@detroitmi.gov

  13. F

    Income Inequality in St. Clair County, MI

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Income Inequality in St. Clair County, MI [Dataset]. https://fred.stlouisfed.org/series/2020RATIO026147
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    St. Clair County, Michigan
    Description

    Graph and download economic data for Income Inequality in St. Clair County, MI (2020RATIO026147) from 2010 to 2023 about St. Clair County, MI; Detroit; inequality; MI; income; and USA.

  14. F

    Income Inequality in Livingston County, MI

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Income Inequality in Livingston County, MI [Dataset]. https://fred.stlouisfed.org/series/2020RATIO026093
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Livingston County, Michigan
    Description

    Graph and download economic data for Income Inequality in Livingston County, MI (2020RATIO026093) from 2010 to 2023 about Livingston County, MI; Detroit; inequality; MI; income; and USA.

  15. F

    Net County-to-County Migration Flow (5-year estimate) for St. Clair County,...

    • fred.stlouisfed.org
    json
    Updated Apr 3, 2023
    + more versions
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    (2023). Net County-to-County Migration Flow (5-year estimate) for St. Clair County, MI (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/NETMIGNACS026147
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 3, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Michigan, St. Clair County
    Description

    Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for St. Clair County, MI (DISCONTINUED) (NETMIGNACS026147) from 2009 to 2020 about St. Clair County, MI; Detroit; migration; flow; MI; Net; 5-year; and population.

  16. F

    Civilian Labor Force in Detroit-Warren-Dearborn, MI (MSA)

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
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    (2025). Civilian Labor Force in Detroit-Warren-Dearborn, MI (MSA) [Dataset]. https://fred.stlouisfed.org/series/LASMT261982000000006
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Dearborn, Detroit, Michigan
    Description

    Graph and download economic data for Civilian Labor Force in Detroit-Warren-Dearborn, MI (MSA) (LASMT261982000000006) from Jan 1990 to May 2025 about Detroit, MI, civilian, labor force, labor, household survey, and USA.

  17. d

    Income to Poverty Ratios in Michigan by Census Tract, 2013

    • portal.datadrivendetroit.org
    • data.ferndalemi.gov
    • +5more
    Updated Mar 16, 2015
    + more versions
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    Data Driven Detroit (2015). Income to Poverty Ratios in Michigan by Census Tract, 2013 [Dataset]. https://portal.datadrivendetroit.org/maps/78147b5117b44dfcaa09b39770b8bd72
    Explore at:
    Dataset updated
    Mar 16, 2015
    Dataset authored and provided by
    Data Driven Detroit
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset contains information on the ratio of family income to the federal poverty level at the census tract level. Each column beginning with a "T_" lists the total number of families that fall into each income category. In addition, the dataset contains information on margins of error and the reliability of each estimate, to help guide decisionmakers in more effectively using the data contained in this file. There are approximately 2,800 records in this dataset; census tract boundaries are generally drawn based on population, and are targeted to include bewteen 3,000 and 8,000 residents. Field description metadata is available for download. For more information on poverty data from the Census Bureau, please visit American Factfinder (www.factfinder2.census.gov).

  18. D

    Building Footprints, 2020

    • detroitdata.org
    • hub.arcgis.com
    • +1more
    Updated Nov 27, 2023
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    Southeast Michigan Council of Governments (2023). Building Footprints, 2020 [Dataset]. https://detroitdata.org/dataset/building-footprints-2020
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    arcgis geoservices rest api, zip, html, csv, geojson, kmlAvailable download formats
    Dataset updated
    Nov 27, 2023
    Dataset provided by
    Southeast Michigan Council of Governments
    Description

    B.1 Buildings Inventory

    The Building Footprints data layer is an inventory of buildings in Southeast Michigan representing both the shape of the building and attributes related to the location, size, and use of the structure. The layer was first developed in 2010using heads-up digitizing to trace the outlines of buildings from 2010 one foot resolution aerial photography. This process was later repeated using six inch resolution imagery in 2015 and 2020 to add recently constructed buildings to the inventory. Due to differences in spatial accuracy between the 2010 imagery and later imagery sources, footprint polygons delineated in 2010 may appear shifted compared with imagery that is more recent.

    Building Definition

    For the purposes of this data layer, a building is defined as a structure containing one or more housing units AND/OR at least 250 square feet of nonresidential job space. Detached garages, pole barns, utility sheds, and most structures on agricultural or recreational land uses are therefore not considered buildings as they do not contain housing units or dedicated nonresidential job space.

    How Current is the Buildings Footprints Layer

    The building footprints data layer is current as of April, 2020. This date was chose to align with the timing of the 2020 Decennial Census, so that accurate comparisons of housing unit change can be made to evaluate the quality of Census data.

    Temporal Aspects

    The building footprints data layer is designed to be temporal in nature, so that an accurate inventory of buildings at any point in time since the origination of the layer in April 2010 can be visualized. To facilitate this, when existing buildings are demolished the demolition date is recorded but they are not removed from the inventory. To view only current buildings, you must filter the data layer using the expression, WHERE DEMOLISHED IS NULL.

    B.2 Building Footprints Attributes

    Table B-1 list the current attributes of the building footprints data layer. Additional information about certain fields follows the attribute list.

    Table B-1 Building Footprints Attributes

    FIELD

    TYPE

    DESCRIPTION

    BUILDING_ID

    Long Integer

    Unique identification number assigned to each building.

    PARCEL_ID

    Long Integer

    Identification number of the parcel on which the building is located.

    APN

    Varchar(24)

    Tax assessing parcel number of the parcel on which the building is located.

    CITY_ID

    Integer

    SEMCOG identification number of the municipality, or for Detroit, master

    plan neighborhood, in which the building is located.

    BUILD_TYPE

    Integer

    Building type. Please see section B.3 for a detailed description of the types.

    RES_SQFT

    Long Integer

    Square footage devoted to residential use.

    NONRES_SQFT

    Long Integer

    Square footage devoted to nonresidential activity.

    YEAR_BUILT

    Integer

    Year structure was built. A value of 0 indicates the year built is unknown.

    DEMOLISHED

    Date

    Date structure was demolished.

    STORIES

    Float(5.2)

    Number of stories. For single-family residential this number is expressed in

    quarter fractions from 1 to 3 stories: 1.00, 1.25, 1.50, etc.

    MEDIAN_HGT

    Integer

    Median height of the building from LiDAR surveys, NULL if unknown.

    HOUSING_UNITS

    Integer

    Number of residential housing units in the building.

    GQCAP

    Integer

    Maximum number of group quarters residents, if any.

    SOURCE

    Varchar(10)

    Source of footprint polygon: NEARMAP, OAKLAND, SANBORN,

    SEMCOG or AUTOMATIC.

    ADDRESS

    Varchar(100)

    Street address of the building.

    ZIPCODE

    Varchar(5)

    USPS postal code for the building address.

    REF_NAME

    Varchar(40)

    Owner or business name of the building, if known.

    CITY_ID

    Please refer to the SEMCOG CITY_ID Code List for a list identifying the code for each municipality AND City of Detroit master plan neighborhood.

    RES_SQFT and NONRES_SQFT

    Square footage evenly divisible by 100 is an estimate, based on size and/or type of building, where the true value is unknown.

    SOURCE

    Footprints from OAKLAND County are derived from 2016 EagleView imagery. Footprints from SEMCOG are edits of shapes from another source. AUTOMATIC footprints are those created by algorithm to represent mobile homes in manufactured housing parks.

    ADDRESS

    Buildings with addresses on multiple streets will have each street address separated by the “ | “ symbol within the field.

    B.3 Building Types

    Each building footprint is assigned one of 26 building types to represent how the structure is currently being used. The overwhelming majority of buildings

  19. N

    Detroit, OR Age Group Population Dataset: A Complete Breakdown of Detroit...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Detroit, OR Age Group Population Dataset: A Complete Breakdown of Detroit Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/451e0c48-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Detroit
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Detroit population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Detroit. The dataset can be utilized to understand the population distribution of Detroit by age. For example, using this dataset, we can identify the largest age group in Detroit.

    Key observations

    The largest age group in Detroit, OR was for the group of age 65 to 69 years years with a population of 21 (19.44%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Detroit, OR was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Detroit is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Detroit total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Detroit Population by Age. You can refer the same here

  20. D

    Urban Heat Island effect in Detroit

    • detroitdata.org
    csv, geojson
    Updated May 9, 2025
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    DETROITography (2025). Urban Heat Island effect in Detroit [Dataset]. https://detroitdata.org/dataset/urban-heat-island-effect-in-detroit
    Explore at:
    csv(13713), geojson(730722)Available download formats
    Dataset updated
    May 9, 2025
    Dataset provided by
    DETROITography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Detroit
    Description

    The UHI index in this analysis is based on a study, Sangiorgio et al. (2020), that quantifies the factors that cause developed areas to heat up. Climate Central adapted the modeling approach in Sangiorgio et al. (2020) using data on the distribution of land cover types in each city (from green space to paved areas) as well as building height and population density, to estimate how urban heat island intensity varies within each of the 44 cities included in this analysis.

    This is a cut of the data for census tracts coded for Detroit

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Data Driven Detroit (2024). Detroit 2020 Census Tracts & Zipcodes [Dataset]. https://detroitdata.org/dataset/detroit-2020-census-tracts-zipcodes

Detroit 2020 Census Tracts & Zipcodes

Explore at:
arcgis geoservices rest api, htmlAvailable download formats
Dataset updated
Jan 25, 2024
Dataset provided by
Data Driven Detroit
Area covered
Detroit
Description

All zip codes and 2020 census tract boundaries defined by the U.S. Census Bureau within the city of Detroit.

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