Springfield, MO Metro Area

Springfield, MO · Metro Area

486,785Population

A metropolitan statistical area of 5 counties (2 central, 3 outlying). The counties are tied together by commuting: people live in one and work in another.

Median household income: $65,071
Median home value: $230,700
Land area: 3,007 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
Greene County, MO	Central	303,375	$61,479	$221,300
Christian County, MO	Central	92,915	$83,437	$274,900
Webster County, MO	Outlying	40,500	$71,155	$228,800
Polk County, MO	Outlying	32,444	$59,647	$205,800
Dallas County, MO	Outlying	17,551	$53,464	$190,300

Largest cities and towns

36 places in our city pages lie in this area; the 25 largest are shown.

Place	Type	Population	Median income
Springfield, MO	City	169,954	$49,311
Nixa, MO	City	24,836	$83,385
Ozark, MO	City	22,417	$74,182
Republic, MO	City	19,829	$65,729
Bolivar, MO	City	11,170	$49,622
Marshfield, MO	City	7,696	$67,642
Willard, MO	City	6,488	$84,600
Battlefield, MO	City	6,165	$94,542
Rogersville, MO	City	4,908	$70,485
Buffalo, MO	City	3,417	$39,896
Clever, MO	City	3,030	$78,366
Strafford, MO	City	2,672	$64,750
Sparta, MO	City	2,331	$63,182
Seymour, MO	City	2,179	$51,591
Fair Grove, MO	City	1,717	$74,514
Fremont Hills, MO	City	1,574	$171,250
Ash Grove, MO	City	1,333	$58,250
Humansville, MO	City	1,058	$37,446
Highlandville, MO	City	950	$56,786
Billings, MO	City	844	$47,344
Pleasant Hope, MO	City	716	$65,078
Fair Play, MO	City	595	$40,781
Morrisville, MO	Town	595	$60,625
Fordland, MO	City	594	$53,571
Niangua, MO	City	537	$45,179

Demographic Rates

Poverty Rate

13.1%

Unemployment

3.5%

College Educated

30.8%

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

$65,071

Mean Household Income

$87,400

Income Distribution

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

Sex Distribution

Male

49.1%

Female

50.9%

Population Split

Male49.1%

Female50.9%

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

German19.2%

English16.1%

Irish11.6%

Italian2.5%

Mexican2.5%

Scottish2.3%

French1.9%

Polish1.3%

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

3.1%Foreign Born

96.9%Native Born

Citizenship Status

Naturalized54.7%

Non-Citizen45.3%

Period of Entry

2010 or Later39.6%

Before 201060.4%

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

Housing Characteristics

Total Housing Units

212,213

Median Rent

$972/mo

Median Home Value

$230,700

Median Year Built

1987

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled

117,119

College Enrollment

24.7%

High School

19.6%

College Educated

30.8%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time

22.2 min

Drive Alone Rate

76.8%

Public Transit

0.4%

Work From Home

10.5%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18

22.5%

18-34 Years

24.4%

35-64 Years

35.9%

65+ Years

17.2%

Population Composition

Under 1822.5%

18-3424.4%

35-6435.9%

65+17.2%

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

49.5%

Single Parent

4.9%

Living Alone

29.6%

Avg Size

2.38

Household Types

Married Couples49.5%

Single Parent4.9%

Living Alone29.6%

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

$36,122

SNAP Usage

9.6%

Health Insurance

89.3%

Household Income Breakdown

Under $25k16.6%

$25k - $50k21.8%

$50k - $100k32.3%

$100k+29.5%

Key Industries

Manufacturing

9.2%

Retail Trade

13.0%

Education & Health Care

25.6%

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

Health & Disability

Disability Rate

14.9%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

89.3%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

86.8%vs ~90% National Avg

Computer Ownership

95.5%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

88.6

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

146.6

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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