Jefferson City, MO Metro Area

Jefferson City, MO · Metro Area

150,437Population

A metropolitan statistical area of 4 counties (1 central, 3 outlying), part of the Columbia-Jefferson City-Moberly, MO combined area. The counties are tied together by commuting: people live in one and work in another.

Median household income: $74,030
Median home value: $217,500
Land area: 2,248 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
Cole County, MO	Central	77,032	$74,876	$229,600
Callaway County, MO	Outlying	44,741	$74,176	$201,600
Moniteau County, MO	Outlying	15,262	$65,715	$181,900
Osage County, MO	Outlying	13,402	$76,681	$223,300

Largest cities and towns

25 places in our city pages lie in this area.

Place	Type	Population	Median income
Jefferson City, MO	City	42,488	$66,371
Fulton, MO	City	12,617	$51,429
Holts Summit, MO	City	4,609	$85,064
California, MO	City	4,509	$63,864
Tipton, MO	City	2,667	$49,257
Wardsville, MO	Village	1,579	$121,222
Auxvasse, MO	City	1,452	$56,307
Taos, MO	City	1,242	$98,854
St. Martins, MO	City	1,228	$89,250
Linn, MO	City	1,197	$36,176
New Bloomfield, MO	City	876	$76,146
Russellville, MO	City	833	$56,750
Westphalia, MO	City	415	$61,136
Freeburg, MO	Village	401	$48,125
Chamois, MO	City	375	$39,833
Lake Mykee Town, MO	Village	354	$74,625
Clarksburg, MO	City	304	$41,250
Centertown, MO	Town	297	$46,875
Jamestown, MO	Town	280	$55,833
Mokane, MO	City	257	$90,143
Lohman, MO	City	243	$89,167
St. Thomas, MO	Town	228	$89,688
Meta, MO	City	115	$42,708
Kingdom City, MO	Village	114	$32,813
Lupus, MO	Town	40	$87,656

Also in the Columbia-Jefferson City-Moberly, MO combined area

Columbia, MO · metro · 215,014 Mexico, MO · micro · 24,548 Moberly, MO · micro · 24,365

Demographic Rates

Poverty Rate

9.9%

Unemployment

3.4%

College Educated

31.1%

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

$74,030

Mean Household Income

$92,629

Income Distribution

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

Sex Distribution

Male

50.9%

Female

49.1%

Population Split

Male50.9%

Female49.1%

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

German29.9%

English10.9%

Irish9.4%

Mexican2.4%

French2.2%

Italian2.1%

Scottish1.8%

Polish0.7%

African0.4%

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

2.1%Foreign Born

97.9%Native Born

Citizenship Status

Naturalized50.9%

Non-Citizen49.1%

Period of Entry

2010 or Later47.4%

Before 201052.6%

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

Housing Characteristics

Total Housing Units

64,854

Median Rent

$827/mo

Median Home Value

$217,500

Median Year Built

1983

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled

33,768

College Enrollment

18.6%

High School

24.0%

College Educated

31.1%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time

21.2 min

Drive Alone Rate

77.2%

Public Transit

0.5%

Work From Home

9.2%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18

22.1%

18-34 Years

21.8%

35-64 Years

38.2%

65+ Years

17.9%

Population Composition

Under 1822.1%

18-3421.8%

35-6438.2%

65+17.9%

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

49.9%

Single Parent

5.2%

Living Alone

30.6%

Avg Size

2.41

Household Types

Married Couples49.9%

Single Parent5.2%

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

$36,772

SNAP Usage

6.7%

Health Insurance

92.3%

Household Income Breakdown

Under $25k14.8%

$25k - $50k17.9%

$50k - $100k32.5%

$100k+34.8%

Key Industries

Manufacturing

9.7%

Retail Trade

11.3%

Education & Health Care

21.9%

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

Health & Disability

Disability Rate

14.1%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

92.3%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

88.4%vs ~90% National Avg

Computer Ownership

94.6%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

88.0

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

177.1

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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