Racine-Mount Pleasant, WI Metro Area

Racine-Mount Pleasant, WI · Metro Area

197,532Population

A metropolitan statistical area of 1 county, part of the Milwaukee-Racine-Waukesha, WI combined area. The counties are tied together by commuting: people live in one and work in another.

Median household income: $78,096
Median home value: $251,400
Land area: 333 sq mi

Market now

Counties in this metro area

Central counties hold the urban core; outlying counties are linked to it by commuting.

County	Role	Population	Median income	Median home value
Racine County, WI	Central	197,532	$78,096	$251,400

Largest cities and towns

22 places in our city pages lie in this area.

Place	Type	Population	Median income
Racine, WI	City	77,633	$57,740
Mount Pleasant, WI	Village	27,953	$91,616
Caledonia, WI	Village	25,257	$93,152
Burlington, WI	City	10,987	$83,419
Norway, WI	Town	7,863	$103,278
Sturtevant, WI	Village	6,772	$92,647
Waterford (Town), WI	Town	6,475	$119,224
Burlington (Town), WI	Town	6,420	$106,929
Waterford, WI	Village	5,692	$82,404
Tichigan, WI	CDP	5,052	$126,933
Union Grove, WI	Village	5,036	$107,482
Wind Lake, WI	CDP	4,836	$102,855
Dover, WI	Town	4,232	$100,156
Raymond, WI	Town	3,945	$109,464
Rochester, WI	Village	3,764	$107,038
Yorkville, WI	Town	3,243	$122,936
Bohners Lake, WI	CDP	2,460	$76,359
Browns Lake, WI	CDP	1,827	$129,196
Wind Point, WI	Village	1,531	$142,955
Eagle Lake, WI	CDP	1,037	$95,625
Elmwood Park, WI	Village	526	$61,461
North Bay, WI	Village	203	$128,750

Also in the Milwaukee-Racine-Waukesha, WI combined area

Milwaukee-Waukesha, WI · metro · 1,568,938 Whitewater-Elkhorn, WI · micro · 105,657 Beaver Dam, WI · micro · 88,742 Watertown-Fort Atkinson, WI · micro · 86,003

Demographic Rates

Poverty Rate

10.3%

Unemployment

4.4%

College Educated

28.4%

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1701, S2301, S1501

Race & Ethnicity

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B02001, B03003

Income Profile

Median Household Income

$78,096

Mean Household Income

$99,261

Income Distribution

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1901, S1902, S1903, B19013, B19113

Sex Distribution

Male

49.8%

Female

50.2%

Population Split

Male49.8%

Female50.2%

The sex distribution of a population provides insight into the demographic balance of a community. Significant skews in this ratio can be influenced by local industries (e.g., military bases, mining, or tech hubs), educational institutions, or migration patterns. Understanding this balance is essential for planning public health initiatives and social services.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0101

Ancestry

German31.7%

Mexican12.0%

Irish9.7%

Polish7.8%

English6.7%

Italian5.5%

French2.1%

Scottish1.1%

African0.3%

Reported ancestry groups representing the cultural heritage of the population. Percentages may not sum to 100% as residents may report multiple ancestries or none.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B04006

Immigration & Nativity

Nativity Status

4.9%Foreign Born

95.1%Native Born

Citizenship Status

Naturalized45.1%

Non-Citizen54.9%

Period of Entry

2010 or Later23.6%

Before 201076.4%

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B05001, B05002

Housing Characteristics

Total Housing Units

85,658

Median Rent

$1,080/mo

Median Home Value

$251,400

Median Year Built

1968

Housing Tenure

Housing Types

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table DP04

Education Enrollment

Total Enrolled

44,501

College Enrollment

14.9%

High School

24.5%

College Educated

28.4%

K-12 Enrollment

Higher Education

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1401, S1501

Transportation & Commute

Mean Commute Time

23.9 min

Drive Alone Rate

77.4%

Public Transit

0.9%

Work From Home

9.9%

Commute Mode

Vehicle Ownership

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0801, B08141

Age Distribution

Under 18

22.7%

18-34 Years

20.3%

35-64 Years

38.9%

65+ Years

18.1%

Population Composition

Under 1822.7%

18-3420.3%

35-6438.9%

65+18.1%

The age distribution of a community impacts local services, school requirements, and the labor market. A higher percentage of youth suggests a need for schools and family services, while a larger senior population may indicate a retirement destination or a need for healthcare services.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0101

Household Composition

Married Couples

45.8%

Single Parent

6.8%

Living Alone

30.6%

Avg Size

2.39

Household Types

Married Couples45.8%

Single Parent6.8%

Living Alone30.6%

Household composition offers insights into the social fabric of a community. A high percentage of married couples often correlates with stability and higher household incomes, while a significant number of single-person households may indicate a younger transient population or an aging community.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1101

Economic Profile

Per Capita Income

$41,162

SNAP Usage

12.3%

Health Insurance

94.3%

Household Income Breakdown

Under $25k12.1%

$25k - $50k18.1%

$50k - $100k32.4%

$100k+37.6%

Key Industries

Manufacturing

20.8%

Retail Trade

11.6%

Education & Health Care

22.4%

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1901, S2201, DP03

Health & Disability

Disability Rate

14.3%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

94.3%With Coverage

Percentage of the civilian noninstitutionalized population with health insurance coverage.

Why this matters: High disability rates may indicate a need for accessible infrastructure and specialized healthcare services. Health insurance coverage is a key indicator of a community's access to preventative care and financial resilience against medical emergencies.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1810, S2701

Technology Access

Broadband Internet

91.1%vs ~90% National Avg

Computer Ownership

95.2%vs ~95% National Avg

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S2801

Cost of Living & Housing

Cost of Living Scale

Lower is better

96.0

0130

Below average< 97

Near average97 - 103

Above average> 103

Prices compared with the US average (100). 105 means about 5% more expensive than average.

Housing Affordability

Higher is better

155.3

0200

Hard to Afford< 80

Moderate80 - 100

Affordable> 100

100 means a family earning the median family income just qualifies to buy the median-value home (20% down, 30-year loan at 6.72%).

Source: BEA Regional Price Parities · NAR affordability formula with Census ACS 2020–2024 incomes and home values and the Freddie Mac 30-year rate (2024)

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