Napa, CA Metro Area
Population 137,837

Overview

Housing
Median Home Value
$428,600
Half are $279,100 - $689,500
Median Monthly Owner Costs
$2,464
With a Mortgage
Median Monthly Rent
$1,350
Includes Utilities
Median Year Housing Built
1974
Employment & Commute
Median Household Income
$70,000
Poverty Rate
10%
Unemployment Rate
9.1%
Average Minutes to Work
24
Education
Percent with a High School Diploma
83%
Ages 25+
Percent with a College Degree
40%
Ages 25+
Percent with a Post Grad Degree
11%
Ages 25+
Percent in Public School
90%
Ages 5-17 Enrolled in School
Demographics
Children
23%
Under 18
Young Adult Singles
17%
Ages 18-39
Middle Aged and Married
24%
Ages 40-64
Seniors
16%
Ages 65+

Napa, CA Metro Area is a CBSA:
Core Based Statistical Areas (CBSAs) are categorized as metropolitan or micropolitan depending on size. The U.S. Office of Management and Budget (OMB) defines each as a core with a substantial population, together with adjacent counties having a high degree of economic and social integration with that core. Because of these strong ties, it is convenient to get an overview of the primary cities along with the suburbs and rural areas where people may live in one area and work in another. They can, and often do, cross state lines. Adjacent CBSAs may be grouped to Combined Statistical Area (CSA).
Need a wider view? The Napa, CA Metro Area is a part of the San Jose-San Francisco-Oakland, CA combined statistical area.

Housing

1974

Median Year Housing was BuiltAll Housing Including Owner/Renter Occupied and Unoccupied

Year Housing was BuiltAll Housing Including Owner/Renter Occupied and Unoccupied

1.8%

Estimated Abandoned Homes

This estimate includes vacant housing that is not for rent, rented, for sale, sold, for seasonal/recreational/occasional use, or for migrant workers.

Number of BedroomsOccupied Housing Units

Total

None
2%
1
11%
2
28%
3
39%
4
17%
5+
4%

Owners

None
0.6%
1
1.8%
2
21.5%
3
47.3%
4
23.2%
5+
5.7%

Renters

None
3%
1
25%
2
38%
3
25%
4
7%
5+
1%
60.6%

Home Ownership PercentageOccupied Housing Units

Home Ownership Percentage Over Time

29

Price to Rent RatioOccupied Housing Units

The price to rent ratio compares home values to rental costs. Values over 20 indicate that it is likely more affordable to rent. Values under 15 indicate that it is likely more affordable to buy. Values between 15 and 20 indicate that extra judgment must be taken when making housing decisions. It is calculated as the median home value divided by the median annual contract rent (ie. rent without additional utilities).

Price to Rent Ratio Over Time

$428,600

Median Owner Occupied Home Value

Median Home Value Over Time

Owner Occupied Home Values

$2,464

Median Monthly Ownership CostsOwner Occupied Housing Units with a Mortgage

Monthly housing costs include mortgage payments, real estate taxes, insurance, utilities, and condo fees. When comparing to monthly rental costs, be careful to also look at the median number of bedrooms. Owner occupied homes generally include more bedrooms than rentals.

3.6

Estimated Median Bedrooms for OwnersOwner Occupied Housing Units

Owner Occupied Homes by Number of BedroomsOwner Occupied Housing Units

None
0.6%
1
1.8%
2
21.5%
3
47.3%
4
23.2%
5+
5.7%
0.7%

Average Annual Real Estate Taxes as a Percent of Home ValueOwner Occupied Housing Units

6.1

Housing Affordability (Median Multiple)

The median multiple is the ratio of median house price by the median annual household income. In other words, how many years would it take for the median income to pay off the median home price? Higher values indicate that the incomes in the area are not high enough to warrant the higher home prices. Anything under 3 is considered affordable while higher values indicate that housing is not affordable.

Median Multiple Over Time

37%

Housing Cost Burdened Owners

Federally subsidized housing programs set the maximum affordable housing cost at 30% of income. This threshold has become a measure of housing affordability and is intended to make sure that households have enough money to for other needs including food, clothing, transportation, etc. Anyone spending more than 30% of their income on housing is considered house burdened because it becomes difficult to afford many of the other necessities of living.

$1,350

Median Monthly Rent and Utility CostsRenter Occupied Housing Units with Housing Costs

Monthly housing costs include rent and utilities. When comparing to monthly ownership costs, be careful to also look at the median number of bedrooms. Owner occupied homes generally include more bedrooms than rentals.

Median Monthly Rent and Utilities Over Time

2.6

Estimated Median Bedrooms for RentersRenter Occupied Housing Units

Cost of Monthly Rent Including UtilitiesRenter Occupied Housing Units

Cost of a Studio Apartment

Cost of a 1 Bedroom

Cost of a 2 Bedroom

Cost of a 3+ Bedroom

Rental Properties by Number of BedroomsRenter Occupied Housing Units

None
3%
1
25%
2
38%
3
25%
4
7%
5+
1%
51%

Housing Cost Burdened Renters

Federally subsidized housing programs set the maximum affordable housing cost at 30% of income. This threshold has become a measure of housing affordability and is intended to make sure that households have enough money to for other needs including food, clothing, transportation, etc. Anyone spending more than 30% of their income on housing is considered house burdened because it becomes difficult to afford many of the other necessities of living.

Employment

$70,443

Median Household Income

Median Household Income Over Time

Household Income

45.5

Household Income Inequality

Income inequality is measured using the Gini coefficient. Lower values indicate that household income is spread evenly across the income groups. Higher values indicate that one income group is much more common than others.

Household Income Inequality Over Time

10%

Poverty Rate

Poverty status uses the standards set by the Office of Management and Budget (OMB). If a family's total income is less than a certain threshold, every person in the family is considered to be in poverty. The threshold varies based on family size, composition, and age.

Poverty Rate Over Time

$33,521

Median Annual Individual EarningsPast 12 months for the Population Ages 16+ With Earnings

Annual Individual EarningsPopulation Ages 16+ with Earnings

81%

Unadjusted Gender Pay GapPopulation Ages 16+ with Earnings

The unadjusted gender pay gap is the median indvidiual female earnings as a percentage of male earnings. In other words, women who work in Napa, CA Metro Area generally make around 8132% of what men do. Much of that difference is likely due to the number of hours worked (see the Full Time vs Part Time Work chart), occupations chosen (see the Employed by Occupation chart), education, and job experience. Adjusting for each of those factors to see what women with similar qualifications and jobs make compared to men is difficult, but the adjusted pay gap would be more likely to show the difference due to discrimination, difference in ability, or willingness to negotiate pay. For these reasons, differences in the gender pay shown here may be more likely to show the gender ideals in an area than the discriminatory practices. It is also worth noting that the 28% of men and 38% of women ages 16+ that did not have earnings were not included in the calculation.

9.1%

Unemployment RatePopulation Ages 16+ in the Civilian Labor Force

To classify as unemployed, people must not be in the military and must be actively looking for work (also known as the U3 measure of unemployment which is the official unemployment rate). In Napa, CA Metro Area, 34% of the population ages 16+ are not employed, but are also not looking for work so they are not considered in the unemployment rate. See the Labor Force Participation Rate for more information.

Unemployment Rate Over Time

Unemployment by Education LevelCivilian Population Ages 25-64 in the Labor Force

66%

Labor Force Participation RatePopulation Ages 16+

People in the labor force include those in the armed forces as well as civilians who are employed or classified as unemployed. To classify as unemployed, people must be actively looking for work. Common people that are not considered in the labor force are students, homemakers, retired workers, seasonal workers not currently looking for work, and institutionalized people. In Napa, CA Metro Area, 34% of people are neither employed or looking for work.

Labor Force Participation Rate Over Time

Full Time vs Part Time WorkPopulation Ages 16-64 Who Worked in the Last 12 Months

Full-time employment is typically considered 35-40 hours per week. With the exception of health care coverage, federal law does not regulate the definition of full time employment for compensation and benefits purposes. The Affordable Care Act (ACA/Obamacare) mandates that all employees working an average of 30 or more hours per week at a large employer must be eligible for health care coverage.

Total

35+ Hours per Week
72%
15-34 Hours per Week
22%
1-14 Hours per Week
6%

Male

35+ Hours per Week
80%
15-34 Hours per Week
16%
1-14 Hours per Week
4%

Female

35+ Hours per Week
64%
15-34 Hours per Week
29%
1-14 Hours per Week
7%

Employed by IndustryFull-time, Year-Round Civilians Ages 16+

Male
Female
Compared to US Avg
High Manufacturing
10%
5%
Normal Health care and social assistance
4%
9%
Normal Retail trade
6%
4%
High Accommodation and food services
4%
3%
High Agriculture, forestry, fishing and hunting
5%
1%
Low Educational services
3%
4%
Normal Construction
5%
Low Professional, scientific, and technical services
3%
3%
Low Public administration
3%
2%
Low Finance and insurance
2%
3%
Normal Other services, except public administration
2%
2%
Normal Administrative, support, waste management services
3%
1%
Normal Wholesale trade
2%
1%
Low Transportation and warehousing
2%
1%
Normal Real estate, rental, leasing
1%
1%
Normal Arts, entertainment, and recreation
1%
1%
Normal Information
1%
1%
Normal Utilities
1%
Normal Mining, quarrying, and oil and gas extraction
Normal Management of companies and enterprises

Employed by OccupationFull-time, Year-Round Civilians Ages 16+

Male
Female
Compared to US Avg
High Management
10%
6%
Low Office and administrative support
3%
8%
Normal Sales and related
5%
4%
Normal Production
6%
2%
High Building, grounds cleaning, maintenance
4%
1%
High Food preparation and serving related
3%
2%
Normal Business and financial operations
2%
3%
Normal Health diagnosing, treating practitioners, other technical
2%
2%
Normal Construction and extraction
4%
Normal Installation, maintenance, and repair
3%
High Farming, fishing, and forestry
3%
Low Education, training, and library
1%
2%
Normal Material moving
2%
1%
Normal Personal care and service
1%
2%
Low Transportation
2%
Normal Community and social service
1%
1%
Normal Arts, design, entertainment, sports, and media
1%
1%
Low Computer and mathematical
1%
1%
Normal Architecture and engineering
1%
Normal Healthcare support
1%
Normal Health technologists and technicians
1%
Normal Legal
1%
1%
Normal Life, physical, and social science
1%
1%
Normal Fire fighting and prevention, and other protective service workers including supervisors
1%
Normal Law enforcement workers including supervisors
1%

Means Of Transportation To WorkWorkers Ages 16+

Car, truck, etc.
88.0%
Public transportation
1.0%
Taxi
0.0%
Bicycle, Walked, or Other Means
5.5%
Worked at Home
5.5%

Public Transit Usage by Poverty StatusWorkers Ages 16+

24

Average Commute Time to WorkIn Minutes for Workers Ages 16+ Who Did Not Work at Home

Average Commute Time to Work Over Time

Travel Time to WorkIn Minutes for Workers Ages 16+ Who Did Not Work at Home

Time Leaving for WorkWorkers Ages 16+ Who Did Not Work at Home

Average Commute by Time Leaving for WorkIn Minutes for Workers Ages 16+ Who Did Not Work at Home

Time Arriving at WorkWorkers Ages 16+ Who Did Not Work at Home

Education

Educational AttainmentPopulation Ages 25+

Less than High School Diploma
17%
High School Graduate
43%
Associate's degree
9%
Bachelor's degree
21%
Master's degree
7%
Professional school degree
3%
Doctorate degree
1%
83%

Percent with a High School DiplomaPopulation Ages 25+

High school diplomas include equivalencies, but do not include those who reported completing grade 12 without a diploma.

Percent with a High School Diploma Over Time

40%

Percent with a College DegreePopulation Ages 25+

College degrees include those with an Associate's, Bachelor's, Master's, Professional school, or Doctorate degree.

11%

Percent with a Post Graduate DegreePopulation Ages 25+

Post graduate degrees include those with a Master's, Professional school, or Doctorate degree.

School EnrollmentPopulation Ages 5-17

Not being enrolled in school does not necessarily mean that the student dropped out. Only schools that lead to a high school diploma or college degree are included. Home schoolers were instructed to select private school. Ages 3-4 are not included because preschool programs are not usually mandated by law and only 52% of children in this age range were enrolled in Napa, CA Metro Area.

Enrolled in Public School
88%
Enrolled in Private School
10%
Not Enrolled in School
2%
3%

Percent Not Enrolled in SchoolPopulation Ages 16-19 without a High School Diploma

90%

Percent Enrolled in Public SchoolPopulation Ages 5-17 Enrolled in School

Demographics

137,837

Total Population

Total Population Over Time

Historical Population

The historical population of Napa, CA Metro Area in each census year since 1790 is derived from census records. Historical populations are based on the present-day geographic area of Napa, CA Metro Area and do not account for boundary changes over time. Learn more about the US population migrations and historical populations.

Total Population By Age

Life Stages

Children Under 10
12%
Children 10-17
11%
Young Adult Singles
17%
Middle Aged and Married
24%
Seniors
16%
Other
22%
12%

Children Under 10

11%

Children Ages 10-17

17%

Young Adult Singles (Ages 18-39)

24%

Middle Aged and Married (Ages 40-64)

16%

Seniors (Ages 65+)

Marital Status of MalesPopulation Ages 15+

Marital Status of FemalesPopulation Ages 15+

Household Composition

Single female/male families do not necessarily denote single parent households. Single householders living with siblings, their aging parents, or any other relatives would be included.

Married Couples
53%
Single Female Families
11%
Single Male Families
5%
Householder Living Alone
25%
Householder Living with Non-Relative
7%

Race and Ethnicity

The Office of Management Budget (OMB) and Census Bureau consider race and ethnicity as two distinct concepts. A person's race and whether they are of Hispanic origing are self reported to the Census Bureau according to which group they most closely identify. In 1997, the OMB revised the racial classification to include categories for two or more races. Because of criticism for treating these as separate questions and because many residents consider race and ethnicity to be the same, the Race and Ethnicity chart below shows those that consider themselves to be Non-Hispanic for each race with those that consider themselves Hispanic as a separate group.

Race

White
78.5%
Black
2.1%
American Indian or Alaskan
0.7%
Asian
7.1%
Pacific Islander
0.3%
Other
7.9%
Two Plus Races
3.4%

Hispanic and Latino Races

White
69.7%
Black
0.4%
American Indian and Alaskan
1.2%
Asian
0.6%
Pacific Islander
0.1%
Other
23.9%
Two Plus Races
4.2%

Race and Ethnicity

White
55.5%
Black
2.0%
American Indian or Alaskan
0.7%
Asian
6.9%
Pacific Islander
0.2%
Other
0.1%
Two Plus Races
2.0%
Hispanic
32.5%

Hispanic and Latino Origins

Mexican
88.9%
Puerto Rican
1.0%
Cuban
0.5%
Dominican
0.0%
Central American
4.4%
South American
1.2%
Other
3.9%
56

Racial and Ethnic Diversity

The racial and ethnic diversity index measures the probability that any two people chose at random from Napa, CA Metro Area are of different races or ethnicities where higher numbers represent more diversity. It was developed by the University of North Carolina and USA Today in 1991 and adapted in 2000 to account for differences in Census questions. It uses the same calculation methods as the Gini Index used by the Census Bureau to determine household income inequality.

Entity Info

PropertySourceValue
State2013 ACSUS
Summary Level2013 ACS310 (cbsa)
Logical Record Number2010 Census0209736
Logical Record Number2013 ACS0005911
Metro Micro Politan Statistical Area2013 ACS34900
Metro Micro Politan Statistical Area Size Code2010 Census18
Combined Statistical Area2013 ACS488
Name2013 ACSNapa, CA Metro Area
Functional Status Code2010 CensusS
Legal Statistical Area Description Code2013 ACSM1
Combined Statistical Area Size Code2010 Census23
Metropolitan Micropolitan Indicator2010 Census1
Full GEOID2013 ACS31000US34900
GEOID2013 ACS34900
Population2010 Census136,484
Population2013 ACS137,837
Housing Units2010 Census54,759
Housing Units2013 ACS54,851
Land Area2013 ACS748.4 square miles
Water Area2013 ACS40.2 square miles
Population Density2013 ACS184.2 people per sq. mile
Minimum Bounding Rectangle Or Bounding Box2013 ACS[38.154894,-122.646421], [38.864245,-122.061379],
Centroid Or Center Coordinates2013 ACS38.506489136482, -122.3305317423