Beaumont-Port Arthur, TX Metro Area

Beaumont-Port Arthur, TX · Metro Area

396,827Population

A metropolitan statistical area of 3 counties (1 central, 2 outlying). The counties are tied together by commuting: people live in one and work in another.

Median household income: $64,659
Median home value: $173,600
Land area: 2,101 sq mi

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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
Jefferson County, TX	Central	253,878	$60,026	$169,500
Orange County, TX	Outlying	85,307	$72,104	$173,400
Hardin County, TX	Outlying	57,642	$75,808	$205,700

Largest cities and towns

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

Place	Type	Population	Median income
Beaumont, TX	City	113,279	$56,997
Port Arthur, TX	City	55,828	$46,354
Orange, TX	City	19,177	$62,891
Nederland, TX	City	18,381	$77,570
Groves, TX	City	16,976	$73,710
Lumberton, TX	City	13,963	$107,623
Port Neches, TX	City	13,664	$81,637
Vidor, TX	City	9,708	$62,192
Bridge City, TX	City	9,640	$88,958
Silsbee, TX	City	6,842	$59,907
Central Gardens, TX	CDP	3,976	$83,750
West Orange, TX	City	3,420	$60,323
Mauriceville, TX	CDP	2,945	$64,167
Kountze, TX	City	2,367	$65,969
Sour Lake, TX	City	2,130	$73,241
Pinehurst, TX	City	1,999	$49,938
Fannett, TX	CDP	1,654	$90,962
Pinewood Estates, TX	CDP	1,516	$157,553
Bevil Oaks, TX	City	1,133	$91,031
China, TX	City	963	$55,104
Wildwood, TX	CDP	584	$64,366
Pine Forest, TX	City	519	$98,068
Rose City, TX	City	391	$46,094
Rose Hill Acres, TX	City	324	$81,875
Taylor Landing, TX	City	284	$134,063

Demographic Rates

Poverty Rate

16.8%

Unemployment

6.1%

College Educated

19.5%

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

$64,659

Mean Household Income

$88,918

Income Distribution

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

Sex Distribution

Male

50.7%

Female

49.3%

Population Split

Male50.7%

Female49.3%

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

Mexican14.2%

German7.8%

English7.6%

Irish7.1%

French6.4%

Italian2.4%

Scottish1.2%

African0.7%

Polish0.6%

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

8.8%Foreign Born

91.2%Native Born

Citizenship Status

Naturalized40.0%

Non-Citizen60.0%

Period of Entry

2010 or Later33.6%

Before 201066.4%

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

Housing Characteristics

Total Housing Units

172,921

Median Rent

$1,106/mo

Median Home Value

$173,600

Median Year Built

1981

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled

92,999

College Enrollment

15.1%

High School

22.7%

College Educated

19.5%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time

23.4 min

Drive Alone Rate

85.5%

Public Transit

0.3%

Work From Home

3.7%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18

24.8%

18-34 Years

21.9%

35-64 Years

37.4%

65+ Years

15.9%

Population Composition

Under 1824.8%

18-3421.9%

35-6437.4%

65+15.9%

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

46.6%

Single Parent

8.9%

Living Alone

27.7%

Avg Size

2.54

Household Types

Married Couples46.6%

Single Parent8.9%

Living Alone27.7%

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

$34,041

SNAP Usage

15.6%

Health Insurance

81.4%

Household Income Breakdown

Under $25k18.9%

$25k - $50k20.5%

$50k - $100k28.2%

$100k+32.3%

Key Industries

Manufacturing

12.6%

Retail Trade

10.6%

Education & Health Care

21.8%

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

Health & Disability

Disability Rate

15.5%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

81.4%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

89.8%vs ~90% National Avg

Computer Ownership

95.3%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

90.0

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

192.4

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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