Santa Rosa-Petaluma, CA Metro Area

Santa Rosa-Petaluma, CA · Metro Area

485,040Population

A metropolitan statistical area of 1 county. The counties are tied together by commuting: people live in one and work in another.

Median household income: $104,674
Median home value: $815,500
Land area: 1,575 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
Sonoma County, CA	Central	485,040	$104,674	$815,500

Largest cities and towns

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

Place	Type	Population	Median income
Santa Rosa, CA	City	177,090	$99,060
Petaluma, CA	City	59,247	$115,430
Rohnert Park, CA	City	44,575	$99,273
Windsor, CA	Town	26,081	$133,979
Healdsburg, CA	City	11,243	$103,554
Sonoma, CA	City	10,670	$98,527
Cloverdale, CA	City	8,886	$117,177
Larkfield-Wikiup, CA	CDP	8,765	$97,071
Cotati, CA	City	7,489	$110,750
Sebastopol, CA	City	7,445	$87,684
Boyes Hot Springs, CA	CDP	7,247	$101,288
Roseland, CA	CDP	5,859	$54,296
Guerneville, CA	CDP	4,100	$81,281
Forestville, CA	CDP	3,717	$115,962
El Verano, CA	CDP	3,443	$123,738
Fetters Hot Springs-Agua Caliente, CA	CDP	3,347	$85,694
Penngrove, CA	CDP	2,119	$107,147
Graton, CA	CDP	1,806	$91,429
Temelec, CA	CDP	1,628	$67,582
Eldridge, CA	CDP	1,379	$121,938
Sea Ranch, CA	CDP	1,287	$139,375
Occidental, CA	CDP	1,225	$108,207
Bodega Bay, CA	CDP	1,139	$182,898
Glen Ellen, CA	CDP	1,078	$202,097
Kenwood, CA	CDP	1,028	$99,526

Demographic Rates

Poverty Rate

8.9%

Unemployment

5.7%

College Educated

38.5%

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

$104,674

Mean Household Income

$142,354

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

Mexican24.3%

German12.4%

Irish12.2%

English12.1%

Italian8.0%

French2.8%

Scottish2.7%

Polish1.8%

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

16.8%Foreign Born

83.2%Native Born

Citizenship Status

Naturalized48.1%

Non-Citizen51.9%

Period of Entry

2010 or Later21.2%

Before 201078.8%

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

Housing Characteristics

Total Housing Units

207,699

Median Rent

$2,158/mo

Median Home Value

$815,500

Median Year Built

1979

Housing Tenure

Housing Types

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

Education Enrollment

Total Enrolled

105,177

College Enrollment

23.7%

High School

22.1%

College Educated

38.5%

K-12 Enrollment

Higher Education

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

Transportation & Commute

Mean Commute Time

25.1 min

Drive Alone Rate

69.4%

Public Transit

1.1%

Work From Home

15.9%

Commute Mode

Vehicle Ownership

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

Age Distribution

Under 18

19.0%

18-34 Years

20.2%

35-64 Years

39.3%

65+ Years

21.5%

Population Composition

Under 1819.0%

18-3420.2%

35-6439.3%

65+21.5%

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

47.4%

Single Parent

5.3%

Living Alone

27.8%

Avg Size

2.49

Household Types

Married Couples47.4%

Single Parent5.3%

Living Alone27.8%

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

$56,640

SNAP Usage

8.0%

Health Insurance

94.9%

Household Income Breakdown

Under $25k10.1%

$25k - $50k12.1%

$50k - $100k25.5%

$100k+52.5%

Key Industries

Manufacturing

10.0%

Retail Trade

10.7%

Education & Health Care

22.8%

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

Health & Disability

Disability Rate

12.6%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

94.9%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

94.4%vs ~90% National Avg

Computer Ownership

97.1%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

107.8

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

62.7

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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