This map 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.

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

Geospatial data about City of Detroit, Michigan Census Tracts 2010. Export to CAD, GIS, PDF, CSV and access via API.

List of United States Postal Service (USPS) Zone Improvement Plan (ZIP) Codes found within or partially within the borders of the City of Detroit.

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 633,218, a 0.29% increase year-by-year from 2022. Previously, in 2022, Detroit population was 631,366, a decline of 0.37% compared to a population of 633,738 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Detroit decreased by 312,253. In this period, the peak population was 945,471 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

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.

In 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.

Note: This council district layer goes into effect on January 1, 2026. The council district layer in effect until December 31st, 2025 can be found here.This Council Districts map is for illustrative purposes only and the City of Detroit makes no representations as to its accuracy. For the official geographic boundaries, please refer to the geographical boundaries formally approved by the Detroit City Council on February 6, 2024. For convenience, a link to the formally approved boundaries may be found here. The reapportioned City Council District boundaries take effect on January 1, 2026.Following each census, Detroit City Council is required by the 2012 Detroit City Charter to redraw the boundaries of the City's seven non at-large districts to be "as nearly of equal population as practicable, contiguous, compact and in accordance with any other criteria permitted by law" [Sec. 3-108].City Council selected the boundaries illustrated here by an 8-1 vote on February 6, 2024. These boundaries will be used to determine resident districts when voting in 2025 municipal elections, and will officially take effect January 1, 2026.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Detroit: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 6(9.84%) households with a householder aged between 25 and 44 years, 35(57.38%) households with a householder aged between 45 and 64 years, and 20(32.79%) households where the householder is over 65 years old.
• The age group of 65 years and over exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Detroit, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

In 2023, the population of the Detroit-Warren-Dearborn metropolitan area in the United States was about 4.34 million people. This was a slight decrease from the previous year, when 4.35 million people lived there.

This 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.

Geospatial data about City of Detroit, Michigan 2000 Census Block Groups. Export to CAD, GIS, PDF, CSV and access via API.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Detroit: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 2(4.26%) households with a householder aged between 25 and 44 years, 25(53.19%) households with a householder aged between 45 and 64 years, and 20(42.55%) households where the householder is over 65 years old.
• The age group of 65 years and over exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Detroit, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Detroit Lakes city, Minnesota. 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.

The Medically Underserved Areas/Populations (MUA/P) show designated MUA/Ps as well as MUA/Ps as they relate to HRSA Office of Rural Health Policy (ORHP) designated rural health areas. MUA/P designations are based on the Index of Medical Underservice (IMU). IMU is calculated based on four criteria: population to provider ratio; percent of the population below the federal poverty level; percent of the population over age 65; and infant mortality rate.

In the fall of 2013, the Detroit Blight Removal Task Force commissioned Data Driven Detroit, the Michigan Nonprofit Association, and LOVELAND Technologies to conduct a survey of every parcel in the City of Detroit. The goal of the survey was to collect data on property condition and vacancy. The effort, called Motor City Mapping, leveraged relationships with the Rock Ventures family of companies and the Detroit Employment Solutions Corporation to assemble a dedicated team of over 200 resident surveyors, drivers, and quality control associates. Data collection occurred from December 4, 2013 until February 16, 2014, and the initiative resulted in survey information for over 370,000 parcels of land in the city of Detroit, identifying condition, occupancy, and use. The data were then extensively reviewed by the Motor City Mapping quality control team, a process that concluded on September 30, 2014. This file contains the official certified results from the Winter 2013/2014 survey, aggregated to 2010 Census Tracts for easy mapping and analysis. The topics covered in the dataset include totals and calculated percentages for parcels in the categories of illegal dumping, fire damage, structural condition, existence of a structure or accessory structure, and improvements on lots without structures.Metadata associated with this file includes field description metadata and a narrative summary documenting the process of creating the dataset.

D = the count of confirmed (MDSS case status = Confirmed) cases

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 was created by calculating the percentage and acreage of impervious surface within census tract polygons. Impervious surface data used in this calculation is from 2015. Created using 2020 Detroit census tracts.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Detroit. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Detroit, the median income for all workers aged 15 years and older, regardless of work hours, was $28,012 for males and $23,444 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 16% between the median incomes of males and females in Detroit. With women, regardless of work hours, earning 84 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Detroit.

- Full-time workers, aged 15 years and older: In Detroit, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,503, while females earned $43,967, resulting in a 5% gender pay gap among full-time workers. This illustrates that women earn 95 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Detroit.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Detroit.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 median household income by race. You can refer the same here