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 White. This particular racial category constitutes the majority, accounting for 97.22% of the total residents in Detroit. Notably, the median household income for White households is $59,167. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $59,167.

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 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 2023-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

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.

The leading radio station in Detroit in October 2020 was WRIF-FM. In that month, the station had a rating of 6.0, which means that 6.0 percent of radio listeners in Detroit tuned into RIF-FM for at least five minutes in each quarter hour period.

A regular features in the top ten, WRIF-FM (rock) is owned by Beasley Broadcast Group, the owner of multiple radio stations across the United States. Detroit’s top radio stations also include sports, country and adult contemporary formats, suggesting a diverse radio audience.

Radio and diversity

Despite often struggling to compete with non-traditional media, radio undeniably has a lot to offer the consumer. Data shows that radio appeals to listeners of all ages, with younger generations preferring rock, rhythmic and top 40 stations and older adults making up the audience share for the likes of jazz, gospel and news/talk formats. Equally, the audience share for country radio stations as well as classic rock and Christian formats varied less across age groups.

Whilst radio offers variety in its content, the same is not true of its workforce. Calls for greater diversity in employment have grown louder and louder in recent years, but the vast majority of the radio news workforce in the U.S. is still Caucasian, with just tiny percentages of African American, Hispanic, Asian American and Native Americans employed in the industry. This is also the case with radio news directors. There is also a strong gender bias in the radio industry – female review writers for radio are in the minority, more so than in other media outlets.

This bar chart depicts PERM case filings at Yeshiva Gedolah of Greater Detroit sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

This bar chart depicts PERM case filings at University of Detroit Mercy sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Drawing on the principles of Whole Person Dementia Assessment (Mast, 2011) and Appelbaum and Grisso's (1988) decision-making model, this project developed a tool, the Lichtenberg Financial Decision Rating Scale (LFDRS). The conceptual model for the LFDRS questionnaire integrates the measurement of contextual variables with financial capacity assessment. The purpose of the study was to establish reliability and validity of the LFDRS and to collect data on normative financial decision-making by older adults. The researchers posited that as financial exploitation of older adults increases, investigation and prosecution of these cases remains difficult for criminal justice professionals who must balance protection of older adults with their right to autonomy; and that both under and over-protection of older adults can lead to damaging consequences. The project goal was to develop a set of new financial decision-making screening and comprehensive measures for criminal justice professionals and non-criminal justice professionals to aid in detecting and prosecuting financial exploitation of older adults. The LFDRS (described above) is meant to be used by mental health professionals, specially trained in assessment of older adults. In addition, the researchers developed a 10-item screening tool, the Lichtenberg Financial Decision Screening Scale or Short Scale (LFDSS), that was tested by multiple professionals working in diverse settings (e.g., APS workers, elder law attorneys, law enforcement personnel). Family members are another group that are often aware of an older adult's vulnerability to financial exploitation and therefore, the researchers developed the Lichtenberg Financial Decision Rating Scale -- Family and Friends version (LFDRS - Family and Friends also known as the LFDRS Informant) to allow concerned professionals to interview confidantes of older adults to help measure financial capacity of a loved one. This tool may be particularly useful for Adult Protective Services to interview multiple people regarding their concerns about an older adult. The collection contains 3 SPSS data files: LFDRS-Data-for-ICPSR.sav (200 cases, 109 variables) LFDRS_Informant-Data-for-ICPSR.sav (150 cases, 45 variables) LFDSS_Screener-Data-for-ICPSR.sav (213 cases, 24 variables)

The Project Green Light Locations data set documents private businesses and other organizations that participate in Project Green Light Detroit, a program started on January 1, 2016 as a partnership between local businesses, the City of Detroit and community groups. Local businesses and organizations that participate in this program have installed real-time camera connections with Detroit Police Department headquarters and visibly communicate their participation to the public through project-specific green lights and signage at each participating location. PGL locations have grown in number and diversity from eight gas stations at the inception of the program in 2016 to include a growing number of retail and service-based businesses, residential facilities such as apartment complexes and nursing homes, and community organizations such as houses of worship. The PGLL dataset records location-level data and includes the business or organization name, address, business type, corresponding police precinct, and the date a location went live with a real-time camera connection to DPD. Records in the data set have been enriched through geocoding to enable us to map address locations. If a business or organization has multiple participating locations, a record for each location is included in the data set.

Multi-method Community Inquiry (R2 Part B): Surveys of Community Members was the second of a three-part study designed to enhance understanding of the complex interactions between the person and environment that are associated with healthy aging for individuals with long-term physical disabilities from low-income and minority communities and to identify best practices related to impactful policies, programs, and resources. This study used cross-sectional surveys to identify environmental factors that support healthy aging among individuals with long-term physical disabilities from low-income and minority communities. The specific research questions in this project are: What kinds of systems, policies, and community programs do adults with physical disabilities use and how helpful do they perceive them to be? Does the use of these social recourses improve health outcomes? Do individuals from diverse backgrounds seem to benefit differently from the social resources available to them?

This pie chart illustrates the distribution of degrees among PERM graduates from Yeshiva Gedolah of Greater Detroit. The chart categorizes the percentages of Bachelor’s, Master’s, and Doctoral degrees, showcasing the educational composition of students who have pursued permanent residency through their qualifications at Yeshiva Gedolah of Greater Detroit. This visualization aids in understanding the diversity of educational backgrounds that contribute to the PERM applications, reflecting the school’s role in supporting students’ transitions to permanent residency in the U.S. Data is updated annually to reflect the most recent graduate outcomes.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Detroit. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Detroit, the median household income for the households where the householder is White increased by $14,024(37.16%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $37,741 in 2013 and $51,765 in 2023.
• Black or African American: In Detroit, the median household income for the households where the householder is Black or African American increased by $3,169(9.32%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $34,009 in 2013 and $37,178 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 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.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-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 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 194,079 men and 226,414 women in the workforce. Among them, 77,589 men were engaged in full-time, year-round employment, while 79,964 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 14.51% fell within the income range of under $24,999, while 16.72% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.27% of men in full-time roles earned incomes exceeding $100,000, while 7.61% 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

This macrozoobenthos sample processing record data set was collected for use in the administrative report entitled "Environmental Studies of Macrozoobenthos, Aquatic Macrophytes, and Juvenile Fishes in the St. Clair-Detroit River System, 1983-1984". It is a portion of the data collected for this administrative report, which provided information needed by the U.S. Army Corps of Engineers for preparation of a Supplemental Environmental Impact Statement addressing the winter operation of the lock facilities at Sault Ste. Marie, Michigan, and the subsequent extension of the navigation season in the St. Clair-Detroit River system (SCDRS) to January-February. The following is excerpted from the original report's abstract: We describe the distribution and abundance of macrozoobenthos, aquatic macrophytes and juvenile fishes during the 1983 and 1984 open water season, and attempt to predict or evaluate the potential environmental impact of an extended navigation season on the biota of SCDRS. Fauna and flora were diverse and abundant; we identified more than 300 taxa of macrozoobenthos, 30 taxa of submergent and emergent macrophytes, and 36 species of fish. The diversity and abundance of macrozoobenthos were generally highest in the St. Clair River. Abundance and diversity of submersed macrophytes were similar in the two rivers, but Chara dominated in the St. Clair River and Vallisneria americana in the Detroit River. We collected more total fish in the Detroit River but more species in the St. Clair River. Yellow perch and rock bass dominated most catches in both rivers. An ice jam in the St. Clair River in spring 1984 appeared to affect two of the three groups studied--macroinvertebrates and submersed macrophytes. Of the 24 abundant taxa of macroinvertebrates, 9 were seemingly less abundant in spring in 1984 than in 1983 in the St. Clair River; however the densities of 6 of these taxa had recovered by fall 1984 to levels equal to or exceeding those in fall 1983 and the other 3 were within 30% of those in 1983. Cover of the bottom with submersed macrophytes was somewhat reduced in spring of 1984--particularly in the St. Clair River--but recovered to 1983 levels by fall 1984. Plant biomass levels varied between years and locations; no consistent differences could be attributed to the ice jam. Catches of fish were lower in 1984 than in 1983 but differences between locations and months were inconsistent. Observed differences in the plant community could be attributed to reduced temperatures, and ice-scour may have reduced the density of several taxa of macrozoobenthos. Evaluation of the potential environmental impacts of an extended navigation season on the biota of SCDRS was not attempted.

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

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Detroit Lakes. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Detroit Lakes, the median household income for the households where the householder is White increased by $13,892(27.66%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $50,218 in 2013 and $64,110 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 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 Lakes.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-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 Lakes median household income by race. 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 Lakes. The dataset can be utilized to gain insights into gender-based income distribution within the Detroit Lakes population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Detroit Lakes, among individuals aged 15 years and older with income, there were 3,830 men and 3,829 women in the workforce. Among them, 1,589 men were engaged in full-time, year-round employment, while 1,167 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.10% fell within the income range of under $24,999, while 13.71% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 19.38% of men in full-time roles earned incomes exceeding $100,000, while 13.20% 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 Lakes median household income by race. You can refer the same here