119th Congress · CA-32
California's 32nd Congressional District
California's 32nd Congressional District (CA-32) has a population of 763,455. The median household income is $112,041 and the median age is 40.8.
763,455
Population
2577
People / sq mi
$112,041
Median Income
40.8
Median Age
CA-32 covers 296 sq mi of land at 2577.2 people per square mile.
Race & Ethnicity
| White | 56.4% |
| Black or African American | 4.4% |
| Asian | 0.0% |
| Hispanic or Latino (any race) | 1.7% |
Economy & Income
$112,041
Median Household Income
$67,972
Per Capita Income
6.6%
Poverty Rate
4.9%
Unemployment
Housing
$1,032,200
Median Home Value
$2,281
Median Rent
53.4%
Homeownership
Education
90.8%
High School+
51.9%
Bachelor's+
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Frequently Asked Questions
California's 32nd Congressional District (CA-32) has a population of 763,455 according to the latest Census ACS 5-Year estimates. Each US Congressional District is drawn to be roughly equal in population (~760K people).
The median household income in California's 32nd Congressional District is $112,041, with a per capita income of $67,972.
California's 32nd Congressional District is 56.4% White, 4.4% Black, 0.0% Asian, and 1.7% Hispanic or Latino, per Census ACS data.
More from California
Data for California's 32nd Congressional District (119th Congress) from the American Community Survey 5-Year estimates. Land area from the Census Gazetteer files. Congressional districts are redrawn after each decennial Census; the 119th Congress (current) uses post-2020 boundaries.
The this entity record above pulls directly from the U.S. Census Bureau ACS and decennial files. What follows is the per-entity context — how this entity sits in the broader U.S. population demographics distribution and which underlying factors drive the headline numbers.
Every number on this page links back to the U.S. Census Bureau ACS and decennial files; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
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.