119th Congress · MI-4
Michigan's 4th Congressional District
Michigan's 4th Congressional District (MI-4) has a population of 775,911. The median household income is $72,434 and the median age is 37.5.
775,911
Population
325
People / sq mi
$72,434
Median Income
37.5
Median Age
MI-4 covers 2,386 sq mi of land at 325.2 people per square mile.
Race & Ethnicity
| White | 78.5% |
| Black or African American | 8.1% |
| Asian | 0.0% |
| Hispanic or Latino (any race) | 1.7% |
Economy & Income
$72,434
Median Household Income
$37,953
Per Capita Income
8.0%
Poverty Rate
3.1%
Unemployment
Housing
$231,000
Median Home Value
$1,030
Median Rent
72.4%
Homeownership
Education
92.3%
High School+
32.6%
Bachelor's+
Other Michigan Congressional Districts
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State rankings
Frequently Asked Questions
Michigan's 4th Congressional District (MI-4) has a population of 775,911 according to the latest Census ACS 5-Year estimates. Each US Congressional District is drawn to be roughly equal in population (~760K people).
The median household income in Michigan's 4th Congressional District is $72,434, with a per capita income of $37,953.
Michigan's 4th Congressional District is 78.5% White, 8.1% Black, 0.0% Asian, and 1.7% Hispanic or Latino, per Census ACS data.
More from Michigan
Data for Michigan's 4th Congressional District (119th Congress) from the American Community Survey 5-Year estimates. Land area from the Census Gazetteer files. Congressional districts are redrawn after each decennial Census; the 119th Congress (current) uses post-2020 boundaries.
this entity is one of the data points covered by this site’s U.S. population demographics dataset. The detail above comes directly from the U.S. Census Bureau ACS and decennial files; the context that follows situates the headline numbers against the broader distribution across U.S. states, metros, cities, and ZIPs.
Every number on this page links back to the U.S. Census Bureau ACS and decennial files; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. states, metros, cities, and ZIPs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.
Source: U.S. Census Bureau ACS, 2026.