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Huntington-Ashland, WV-KY-OH Metro Area

Huntington-Ashland, WV-KY-OH · Metro Area

370,729Population

A metropolitan statistical area of 8 counties (6 central, 2 outlying), part of the Charleston-Huntington-Ashland, WV-OH-KY combined area. The counties are tied together by commuting: people live in one and work in another.

Median household income
$60,078
Median home value
$154,700
Land area
2,915 sq mi
127 people per sq mi

Market now

Counties in this metro area

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

CountyRolePopulationMedian incomeMedian home value
Cabell County, WVCentral92,739$55,832$164,400
Putnam County, WVCentral57,177$79,527$223,300
Lawrence County, OHCentral56,819$58,325$144,000
Boyd County, KYCentral47,911$61,118$130,700
Wayne County, WVCentral38,164$58,878$127,100
Greenup County, KYCentral35,501$60,751$134,000
Carter County, KYOutlying26,341$51,235$132,800
Lawrence County, KYOutlying16,077$46,772$111,700

Largest cities and towns

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

PlaceTypePopulationMedian income
Huntington, WVCity45,787$45,100
Ashland, KYCity21,295$52,715
Teays Valley, WVCDP14,151$108,741
Upper, OH—14,088$48,548
Ironton, OHCity10,768$47,648
Rome, OH—8,561$72,747
Fayette, OH—8,305$58,302
Flatwoods, KYCity7,269$59,972
Union, OH—7,037$73,353
Pea Ridge, WVCDP6,988$65,811
Hurricane, WVCity6,855$71,167
Perry, OH—6,349$56,484
Westwood, KYCDP4,473$73,511
Barboursville, WVVillage4,376$60,571
Grayson, KYCity3,778$27,542
Russell, KYCity3,676$76,182
South Point, OHVillage3,099$80,341
Culloden, WVCDP3,040$73,318
Kenova, WVCity2,944$53,683
Winfield, WVTown2,918$103,276
Milton, WVTown2,817$46,429
Burlington, OHCDP2,807$31,058
Louisa, KYCity2,580$40,000
Elizabeth, OH—2,552$60,708
Lawrence, OH—2,329$65,904

Also in the Charleston-Huntington-Ashland, WV-OH-KY combined area

Demographic Rates

Poverty Rate
16.6%
Unemployment
4.8%
College Educated
23.5%
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
$60,078
Mean Household Income
$80,719

Income Distribution

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

Sex Distribution

Male
49.2%
Female
50.8%

Population Split

Male49.2%
Female50.8%

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

English19.4%
Irish11.5%
German10.5%
Scottish2.4%
Italian1.9%
French0.9%
Mexican0.7%
Polish0.5%
African0.2%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B04006

Immigration & Nativity

Nativity Status

1.2%Foreign Born
98.8%Native Born

Citizenship Status

Naturalized48.2%
Non-Citizen51.8%

Period of Entry

2010 or Later39.5%
Before 201060.5%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B05001, B05002

Housing Characteristics

Total Housing Units
173,725
Median Rent
$884/mo
Median Home Value
$154,700
Median Year Built
1976

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled
82,302
College Enrollment
20.0%
High School
22.3%
College Educated
23.5%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time
24.3 min
Drive Alone Rate
79.9%
Public Transit
0.3%
Work From Home
7.0%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18
21.1%
18-34 Years
20.7%
35-64 Years
37.9%
65+ Years
20.3%

Population Composition

Under 1821.1%
18-3420.7%
35-6437.9%
65+20.3%

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
48.1%
Single Parent
5.2%
Living Alone
30.5%
Avg Size
2.38

Household Types

Married Couples48.1%
Single Parent5.2%
Living Alone30.5%

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
$33,619
SNAP Usage
17.3%
Health Insurance
94.3%

Household Income Breakdown

Under $25k22.2%
$25k - $50k20.5%
$50k - $100k30.1%
$100k+27.1%

Key Industries

Manufacturing
8.9%
Retail Trade
12.5%
Education & Health Care
31.3%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1901, S2201, DP03

Health & Disability

Disability Rate

20.3%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
85.8%vs ~90% National Avg
Computer Ownership
91.9%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
88.4
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
199.8
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)