Oxnard-Thousand Oaks-Ventura, CA Metro Area

Oxnard-Thousand Oaks-Ventura, CA · Metro Area

837,469Population

A metropolitan statistical area of 1 county, part of the Los Angeles-Long Beach, CA combined area. The counties are tied together by commuting: people live in one and work in another.

Median household income: $109,797
Median home value: $822,700
Land area: 1,841 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
Ventura County, CA	Central	837,469	$109,797	$822,700

Largest cities and towns

23 places in our city pages lie in this area.

Place	Type	Population	Median income
Oxnard, CA	City	200,928	$96,212
Simi Valley, CA	City	125,634	$122,081
Thousand Oaks, CA	City	125,205	$135,603
San Buenaventura (Ventura), CA	City	109,592	$96,036
Camarillo, CA	City	70,186	$113,428
Moorpark, CA	City	35,854	$148,480
Santa Paula, CA	City	31,376	$79,294
Port Hueneme, CA	City	21,582	$92,660
Fillmore, CA	City	16,816	$92,931
Oak Park, CA	CDP	13,757	$163,085
Ojai, CA	City	7,577	$82,656
Mira Monte, CA	CDP	6,888	$72,879
El Rio, CA	CDP	6,368	$72,598
Oak View, CA	CDP	6,141	$110,440
Meiners Oaks, CA	CDP	3,934	$70,192
Santa Rosa Valley, CA	CDP	2,780	$213,973
Channel Islands Beach, CA	CDP	2,726	$107,380
Casa Conejo, CA	CDP	2,671	$147,616
Piru, CA	CDP	2,185	$89,375
Bell Canyon, CA	CDP	2,177	$250,000+
Lake Sherwood, CA	CDP	1,633	$234,020
Saticoy, CA	CDP	1,518	$86,276
Santa Susana, CA	CDP	1,235	$99,783

Also in the Los Angeles-Long Beach, CA combined area

Los Angeles-Long Beach-Anaheim, CA · metro · 12,974,487 Riverside-San Bernardino-Ontario, CA · metro · 4,675,704

Demographic Rates

Poverty Rate

9.3%

Unemployment

5.7%

College Educated

36.1%

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

$109,797

Mean Household Income

$144,867

Income Distribution

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

Sex Distribution

Male

49.7%

Female

50.3%

Population Split

Male49.7%

Female50.3%

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

Mexican38.5%

German8.4%

English8.4%

Irish7.8%

Italian4.2%

French1.8%

Polish1.6%

Scottish1.6%

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

22.2%Foreign Born

77.8%Native Born

Citizenship Status

Naturalized53.5%

Non-Citizen46.5%

Period of Entry

2010 or Later17.9%

Before 201082.1%

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

Housing Characteristics

Total Housing Units

295,878

Median Rent

$2,317/mo

Median Home Value

$822,700

Median Year Built

1978

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled

204,386

College Enrollment

23.7%

High School

22.6%

College Educated

36.1%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time

25.6 min

Drive Alone Rate

70.4%

Public Transit

0.6%

Work From Home

15.8%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18

21.8%

18-34 Years

22.1%

35-64 Years

38.7%

65+ Years

17.4%

Population Composition

Under 1821.8%

18-3422.1%

35-6438.7%

65+17.4%

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

53.9%

Single Parent

4.7%

Living Alone

21.7%

Avg Size

2.94

Household Types

Married Couples53.9%

Single Parent4.7%

Living Alone21.7%

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

$49,748

SNAP Usage

8.5%

Health Insurance

92.7%

Household Income Breakdown

Under $25k9.2%

$25k - $50k12.2%

$50k - $100k24.0%

$100k+54.6%

Key Industries

Manufacturing

10.3%

Retail Trade

10.4%

Education & Health Care

21.5%

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

Health & Disability

Disability Rate

11.7%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

92.7%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

94.2%vs ~90% National Avg

Computer Ownership

96.9%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

110.5

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

61.6

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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