Census ACS · California
ZIP Code 92557
ZIP code 92557 is located in California with a population of 55,749. The median household income is $93,464 and the median home value is $471,700.
55,749
Population
$93,464
Median Income
$471,700
Median Home Value
33.1
Median Age
Race & Ethnicity
| White | 26.2% |
| Black | 17.7% |
| Asian | 0.0% |
| Hispanic (any race) | 3.6% |
Male: 49.9% · Female: 50.1%
Economy & Income
$93,464
Median Household Income
$30,464
Per Capita Income
7.6%
Poverty Rate
Housing
$471,700
Median Home Value
$2,081
Median Rent
65.8%
Homeownership
Education
84.1%
High School+
18.9%
Bachelor's Degree+
Nearby ZIP Codes
Largest cities in California
Part of California
Metro areas in California
Frequently Asked Questions
ZIP code 92557 in California has a population of 55,749 according to latest Census ACS data.
The median household income in ZIP 92557 is $93,464. The per capita income is $30,464. The poverty rate is 7.6%.
ZIP code 92557 is located in California.
More from California
Data for ZIP Code Tabulation Area (ZCTA) 92557 from the American Community Survey 5-Year estimates. ZCTAs approximately correspond to USPS ZIP code delivery areas but are built from Census blocks and may not match exactly.
For this entity, the underlying data on this page comes from the U.S. Census Bureau ACS and decennial files. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.
The methodology behind every numeric value on this page is publicly documented on the the U.S. Census Bureau ACS and decennial files portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. states, metros, cities, and ZIPs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.
Source: U.S. Census Bureau ACS, 2026.