All zip codes and 2020 census tract boundaries defined by the U.S. Census Bureau within 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 2022, the population of Detroit was 193, a 0.52% decrease year-by-year from 2021. Previously, in 2021, Detroit population was 194, a decline of 3.48% compared to a population of 201 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Detroit decreased by 77. In this period, the peak population was 287 in the year 2009. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• 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

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

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

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This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Graph and download economic data for Income Inequality in Wayne County, MI (2020RATIO026163) from 2010 to 2023 about Wayne County, MI; Detroit; inequality; MI; income; and USA.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Wayne County, MI (DISCONTINUED) (NETMIGNACS026163) from 2009 to 2020 about Wayne County, MI; Detroit; migration; flow; MI; Net; 5-year; and population.

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

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

This dataset contains the B17024 (Age by Ratio of Income to Poverty Level in the past 12 months) table from the American Community Survey 5-Year Estimates 2014-2018 for census tracts in Michigan. Fields were cleaned and summarized by Data Driven Detroit in April 2020.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Livingston County, MI (DISCONTINUED) (NETMIGNACS026093) from 2009 to 2020 about Livingston County, MI; Detroit; migration; flow; MI; Net; 5-year; and population.

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

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.

Historical Dataset of Southwest Detroit Community School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2014-2023),Total Classroom Teachers Trends Over Years (2014-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2014-2023),Hispanic Student Percentage Comparison Over Years (2014-2023),Black Student Percentage Comparison Over Years (2014-2023),White Student Percentage Comparison Over Years (2014-2023),Diversity Score Comparison Over Years (2014-2023),Free Lunch Eligibility Comparison Over Years (2014-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2015-2018),Reading and Language Arts Proficiency Comparison Over Years (2014-2019),Math Proficiency Comparison Over Years (2014-2019),Overall School Rank Trends Over Years (2014-2019)

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.

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.

Graph and download economic data for All Employees: Retail Trade: General Merchandise Stores in Detroit-Warren-Dearborn, MI (MSA) (SMU26198204245200001A) from 1990 to 2020 about Detroit, MI, retail trade, retail, sales, employment, and USA.

The professional baseball team the Detroit Tigers was established in Detroit in 1894 as a charter member of the Western League, which was later reorganized into today’s American League, part of Major League Baseball (MLB). During a July 2020 survey in the United States, five percent of respondents had a very favorable opinion of the team.