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TwitterList of hospitals in the city of Detroit, Michigan. Data includes the name and address and number of beds for each hospital in the city. Data also include primary operating entity and telephone contact information for each hospital.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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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.
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TwitterThe Detroit Future City Strategic Framework is a land use planning document that was released in 2012. It outlines recommendations for transforming Detroit's land use policies and codes over the next fifty years, and covers a broad range of issues from economic and workforce development to transportation and green infrastructure. The shapes in this file represent the 50-year recommended land use for the City of Detroit, based on this plan. The geographies are based off of dissolved parcels from the City of Detroit Planning and Development Department. Field description metadata is available for download. For detailed descriptions of the land use categories, and to learn more about the Detroit Future City initiative, please visit http://detroitfuturecity.com/framework/.
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TwitterThe City of Detroit Open Data Style Guide details standards that, when implemented, improve the public understandability and accessibility of the City's open data. The Style Guide is broken up into two sections. The dataset section outlines best practices for data formatting, quality, and accessibility. The metadata section provides guidance on creating rich and informative dataset descriptions, column-level descriptions, and more. Eventually, all items on the Open Data Portal will adhere to the Style Guide.
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TwitterBoundary for the City of Detroit. Obtained from Data Driven Detroit's SDE for the Kresge Early Childhood online mapping tool on July 25, 2017.
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TwitterDetroit-specific ZIP code populations, along with their cumulative COVID case counts, deaths, and rates. Data provided by Detroit Health Department. The public-facing COVID Cases Dashboard is hosted at: detroitmi.gov/healthUPDATE* July 29 2021:The underlying calculation for disease date was updated to allow for individuals to appear on the curve in multiple locations if they experienced more than one case of COVID-19 that was at least 90 days apart.Geospatial information analysis was also improved and additional criterial for address clean up were implemented, which leads to more accurate case counts within Zip Codes. Some unverified addresses that may have appeared in previous Zip Code counts are now excluded.This change discourages direct comparison of dashboard visualizations and counts prior to the new calculation, and non-significant shifts in numbers will be noticed.Case numbers represent Detroit residents only. Some ZIP codes with very low case counts are excluded to protect privacy. Case counts are totals per ZIP code and are not adjusted for population. ZIP code totals are preliminary; addresses are updated as new information becomes available and counts are subject to change. Not all cases have an accurate location; only cases with a known ZIP code are represented. Where a ZIP code is split between cities, only the Detroit portion is shown (48203, 48211, 48212, 48236, 48239). The counts exclude cases among prisoners at the Wayne County Jail and known hospital or laboratory locations.ZIP_Code: The USPS ZIP postal code Clipped_ZIP_Population: The 2010 population of the ZIP code, clipped to include Detroit City residents only.ZIP_Case_Count: The current cumulative count of Confirmed COVID cases within the ZIP code, since the beginning of the pandemic. (Have a "Confimed" case status in MDSS)ZIP_Death_Count: The current cumulative count of Confirmed COVID cases within the ZIP code, since the beginning of the pandemic. (Have a "Confimed" case status in MDSS and are deceased)ZIP_Case_Rate: Rate of confirmed cases per 100 thousand residents in the ZIP code. For each zip, the rate was calculated by (C/P)*100000 C = the count of confirmed (MDSS case status = Confirmed) cases with a resident address in the ZIP code P = the population count of the ZIP codeZIP_Death_Rate: Rate of confirmed cases that were marked deceased, per 100 thousand residents in the ZIP code. For each zip, the rate was calculated by (D/P)*100000 D = the count of confirmed (MDSS case status = Confirmed) cases marked as deceased, with a resident address in the ZIP P = the population count of the ZIP code
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TwitterAs part of the Detroit Community Health Assessment (CHA) process, the Health Department and community partners worked with the University of Michigan Detroit Metropolitan Area Communities Study (DMACS) team to conduct a representative citywide survey of 1,216 residents to gather relevant information about Detroiters’ experiences, perceptions, priorities and aspirations around community health. The survey was implemented in the summer of 2018 and the results of the survey are included here. The Community Health Survey Data Tables summarize responses for the city overall, as well as by gender, age group, race, ethnicity, education and city council district.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/2535/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2535/terms
The Multi-City Study of Urban Inequality was designed to broaden the understanding of how changing labor market dynamics, racial attitudes and stereotypes, and racial residential segregation act singly and in concert to foster contemporary urban inequality. This data collection comprises data for two surveys: a survey of households and a survey of employers. Multistage area probability sampling of adult residents took place in four metropolitan areas: Atlanta (April 1992-September 1992), Boston (May 1993-November 1994), Detroit (April-September 1992), and Los Angeles (September 1993-August 1994). The combined four-city data file in Part 1 contains data on survey questions that were asked in households in at least two of the four survey cities. Questions on labor market dynamics included industry, hours worked per week, length of time on job, earnings before taxes, size of employer, benefits provided, instances of harassment and discrimination, and searching for work within particular areas of the metropolis in which the respondent resided. Questions covering racial attitudes and attitudes about inequality centered on the attitudes and beliefs that whites, Blacks, Latinos, and Asians hold about one another, including amount of discrimination, perceptions about wealth and intelligence, ability to be self-supporting, ability to speak English, involvement with drugs and gangs, the fairness of job training and educational assistance policies, and the fairness of hiring and promotion preferences. Residential segregation issues were studied through measures of neighborhood quality and satisfaction, and preferences regarding the racial/ethnic mix of neighborhoods. Other topics included residence and housing, neighborhood characteristics, family income structure, networks and social functioning, and interviewer observations. Demographic information on household respondents was also elicited, including length of residence, education, housing status, monthly rent or mortgage payment, marital status, gender, age, race, household composition, citizenship status, language spoken in the home, ability to read and speak English, political affiliation, and religion. The data in Part 2 represent a telephone survey of current business establishments in Atlanta, Boston, Detroit, and Los Angeles carried out between spring 1992 and spring 1995 to learn about hiring and vacancies, particularly for jobs requiring just a high school education. An employer size-weighted, stratified, probability sample (approximately two-thirds of the cases) was drawn from regional employment directories, and a probability sample (the other third of the cases) was drawn from the current or most recent employer reported by respondents to the household survey in Part 1. Employers were queried about characteristics of their firms, including composition of the firm's labor force, vacant positions, the person most recently hired and his or her salary, hours worked per week, educational qualifications, promotions, the firm's recruiting and hiring methods, and demographic information for the respondent, job applicants, the firm's customers, and the firm's labor force, including age, education, race, and gender.
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TwitterUS 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.
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TwitterThis map app shows demographic and income data in Detroit. Assuming an assignment where the poverty fighting charity I work for would like to alleviate suffering among impoverished children in Detroit. Detroit is a Michigan city that always ranks among America's poorest urban centers. Orange circles have below average median household income, the darker shades indicate households with a very low income-close to poverty level. The size of the circles: larger circles indicate a greater number of children in the area.What stands out is the obvioud pattern of low-income households in the city center combined with areas of high child population. This pattern helps answer where in Detroit our charity will focus its resources to help children living in poverty-in places shown on the map where there is a cluster of several large dark Orange circles like Dearborn and Pontiac (for example). The charity may and will offer free after school care and/Or but not limited to breakfast programs.
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TwitterA boundary file for the city of Detroit - this is not clipped to the coastline.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Detroit town 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 town. The dataset can be utilized to understand the population distribution of Detroit town by age. For example, using this dataset, we can identify the largest age group in Detroit town.
Key observations
The largest age group in Detroit, Maine was for the group of age 55-59 years with a population of 105 (13.87%), according to the 2021 American Community Survey. At the same time, the smallest age group in Detroit, Maine was the 80-84 years with a population of 6 (0.79%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Detroit town Population by Age. You can refer the same here
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TwitterGrocery Stores in City of Detroit Public View
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TwitterCurrent (non-historic) neighborhood boundaries as compiled by Department of Neighborhoods staff in concert with community groups.
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TwitterIn 2022, the Detroit metro area GDP amounted to ****** billion U.S. dollars, an increase from the previous year. Detroit's GDP Between 2001 and 2022, the GDP of the Detroit-Warren-Dearborn metro area rose from ****** billion U.S. dollars in 2001 to ****** billion U.S. dollars in 2021, dipping in 2009 to ****** billion U.S. dollars. Despite a rise in GDP, the city of Detroit filed for bankruptcy in July 2013 with debts of approximately ** billion U.S. dollars. Detroit was the largest municipality to file for bankruptcy since 1953. Second largest was Jefferson County, Alabama, which filed in 2011 with debts of approximately *** billion U.S. dollars. In 2021, the Detroit metro area had a population of around 4.36 million inhabitants. City of Detroit Detroit was once a major production hub of the American automobile industry, but has since suffered decline as car manufacturers faced international competition and automobile production was moved out of the city. As a result, workers left Detroit and the population fell. In 2019, Detroit had a resident population of roughly ******* people, ranking **** on the list of largest U.S. cities, but has since fallen off the list of the ** most populous cities in the U.S. Poverty remains a problem for the city and many buildings remain empty and derelict. Crime rates also indicate the extent of Detroit’s decline. Detroit was the second most dangerous city in America in 2022, with ***** crimes per 100,000 residents.
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TwitterData for: Class-Divided Cities, Detroit Edition Published in Atlantic Cities, April 10 2013 http://www.theatlanticcities.com/neighborhoods/2013/04/class-divided-cities-detroit-edition/4679/
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TwitterMunicipal Parks and Landmark features for the City of Detroit. Includes golf courses, City Airport and civic plazas. Does not include all school parks, unless they are maintained by Detroit Parks and Rec. This layer was developed by Data Driven Detroit by adding to a GIS file that was provided by the City in 2010. Some parks in the file may have been "abandoned" and are not maintained any longer.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Detroit town 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 town 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 town was 918, a 1.77% increase year-by-year from 2022. Previously, in 2022, Detroit town population was 902, an increase of 1.12% compared to a population of 892 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Detroit town increased by 100. In this period, the peak population was 918 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Detroit town Population by Year. You can refer the same here
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Detroit Street cross streets in Oklahoma City, OK.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Detroit town by race. It includes the distribution of the Non-Hispanic population of Detroit town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Detroit town across relevant racial categories.
Key observations
Of the Non-Hispanic population in Detroit town, the largest racial group is White alone with a population of 722 (100% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/detroit-me-population-by-race-and-ethnicity.jpeg" alt="Detroit town Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Detroit town Population by Race & Ethnicity. You can refer the same here
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TwitterList of hospitals in the city of Detroit, Michigan. Data includes the name and address and number of beds for each hospital in the city. Data also include primary operating entity and telephone contact information for each hospital.