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

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 2010 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.

As 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.

The Detroit Arab American Study (DAAS), 2003, a companion survey to the 2003 Detroit Area Study (DAS), using a representative sample (DAS, n = 500) drawn from the three-county Detroit metropolitan area and an oversample of Arab Americans (DAAS, n = 1000) from the same region, provides a unique dataset on September 11, 2001, and its impacts on Arab Americans living in the Detroit metropolitan area. The data contain respondent information concerning opinions on their experiences since the September 11, 2001, attacks on the World Trade Center and the Pentagon, social trust, confidence in institutions, intercultural relationships, local social capital, attachments to transnational communities, respondent characteristics, and community needs. Examples of the issues addressed in the data include frequency of religious participation, level of political activism, level of interaction with people outside of their cultural, racial, and ethnic groups, and the quality of the social and political institutions in their area. Background information includes birth country, citizenship status, citizenship status of spouse, education, home ownership status, household income, language spoken in the home (if not English), marital status, number of children (under 18) in the household, parents' countries of birth and citizenship status, political affiliation, total number of people living in the household, voter registration status, whether the respondent ever served in the United States Armed Forces, and year of immigration, if not born in the United States.

Locally designated historic places maintained by The Detroit Historic District Commission which is a city agency that was formed by Detroit Ordinance 161-H in 1976. Its purpose is to ensure the preservation of historically and culturally significant areas of the City which are designated by the City Council as Historic Districts. The Commission is made up of seven Detroit residents who are appointed by Mayor. These dedicated volunteers are generally residents of historic districts and represent such professions as architects and realtors. The Commission staff is located within the City of Detroit's Planning & Development Department.

Annual Life Safety Fire Inspections are conducted by the Detroit Fire Department (DFD) Fire Marshal Division in accordance with Chapter 18 of the Detroit City Code, the Detroit Fire Prevention and Protection Code. Inspections occur as a part of routine daily district work in support of the core mission of the DFD Fire Marshal Division to provide the citizens and visitors of Detroit with the highest level of fire prevention using standards and guidelines set forth by the Michigan Building Code, City Ordinance and the NFPA (National Fire Protection Association). Inspections are also conducted to fulfill City of Detroit (CoD) Business Licensing requirements. Business owners required to obtain or renew a CoD Business License from Buildings, Safety Engineering, and Environment Department (BSEED) must get a Fire Permit from the Fire Marshal division as a part of the licensing process. The Permit certifies that the business premises have undergone and passed a Life Safety Fire Inspection.

Each record in this dataset represents a fire inspection occurrence. There are scenarios where an inspection ID is associated with more than one record. This may indicate that there was a violation on the initial or previous inspection(s), which would result in a reinspection.

Annual Life Safety Fire Inspections are conducted by the Detroit Fire Department (DFD) Fire Marshall Division in accordance with Chapter 18 of the Detroit City Code, the Detroit Fire Prevention and Protection Code. Inspections occur as a part of routine daily district work in support of the core mission of the DFD Fire Marshall Division to provide the citizens and visitors of Detroit with the highest level of fire prevention using standards and guidelines set forth by the Michigan Building Code, City Ordinance and the NFPA (National Fire Protection Association). Inspections are also conducted to fulfill City of Detroit (CoD) Business Licensing requirements. Business owners required to obtain or renew a CoD Business License from Buildings, Safety Engineering, and Environment Department (BSEED) must get a Fire Permit from the Fire Marshall division as a part of the licensing process. The Permit certifies that the business premises have undergone and passed a Life Safety Fire Inspection within the past 12 months.

About this dataset

Context

The dataset tabulates the population of Detroit by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Detroit. The dataset can be utilized to understand the population distribution of Detroit by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Detroit. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Detroit.

Key observations

Largest age group (population): Male # 0-4 years (30) | Female # 70-74 years (17). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

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 is shown in the following column.
• Population (Female): The female population in the Detroit is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Detroit for each age group.

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 Gender. You can refer the same here

About this dataset

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).

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 town is shown in this column.
• Year on Year Change: This column displays the change in Detroit town 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 town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Detroit Lakes 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 Lakes 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 Lakes was 9,981, a 0.29% decrease year-by-year from 2022. Previously, in 2022, Detroit Lakes population was 10,010, a decline of 0.01% compared to a population of 10,011 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Detroit Lakes increased by 2,153. In this period, the peak population was 10,017 in the year 2020. 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 Lakes is shown in this column.
• Year on Year Change: This column displays the change in Detroit Lakes 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 Lakes Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Detroit by race. It includes the population of Detroit across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Detroit across relevant racial categories.

Key observations

The percent distribution of Detroit population by race (across all racial categories recognized by the U.S. Census Bureau): 76.92% are white, 16.12% are Black or African American, 1.65% are American Indian and Alaska Native, 2.20% are some other race and 3.11% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Detroit
• Population: The population of the racial category (excluding ethnicity) in the Detroit is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Detroit town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Detroit town. The dataset can be utilized to understand the population distribution of Detroit town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Detroit town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Detroit town.

Key observations

Largest age group (population): Male # 40-44 years (47) | Female # 50-54 years (60). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Detroit town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Detroit town is shown in the following column.
• Population (Female): The female population in the Detroit town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Detroit town for each age group.

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 town Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Detroit town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Detroit town. The dataset can be utilized to understand the population distribution of Detroit town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Detroit town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Detroit town.

Key observations

Largest age group (population): Male # 40-44 years (52) | Female # 50-54 years (77). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Detroit town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Detroit town is shown in the following column.
• Population (Female): The female population in the Detroit town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Detroit town for each age group.

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 town Population by Gender. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Detroit. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Detroit population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 77.94% of the total residents in Detroit. Notably, the median household income for Black or African American households is $34,844. Interestingly, despite the Black or African American population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $58,953. This reveals that, while Black or African Americans may be the most numerous in Detroit, Asian households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/detroit-mi-median-household-income-by-race.jpeg" alt="Detroit median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Detroit.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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

About this dataset

Context

The dataset tabulates the population of Detroit township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Detroit township. The dataset can be utilized to understand the population distribution of Detroit township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Detroit township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Detroit township.

Key observations

Largest age group (population): Male # 70-74 years (122) | Female # 60-64 years (100). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Detroit township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Detroit township is shown in the following column.
• Population (Female): The female population in the Detroit township is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Detroit township for each age group.

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 township Population by Gender. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Detroit. The dataset can be utilized to gain insights into gender-based income distribution within the Detroit population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Detroit, among individuals aged 15 years and older with income, there were 168 men and 171 women in the workforce. Among them, 95 men were engaged in full-time, year-round employment, while 82 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 14.74% fell within the income range of under $24,999, while 34.15% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 6.32% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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