ZIP code profile · 2024 county data

ZIP Code 95020

Santa Clara County, California: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

74
Property rate /100K (county)
68,365
Population (ZIP)
14
Violent rate /100K (county)

Is ZIP code 95020 safe? Honest data snapshot

ZIP code 95020 sits within Santa Clara County, CA, a county whose reported crime runs below the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Reported crime here runs well below the national average: 14 violent incidents and 74 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 95020 is the largest ZIP in Santa Clara County by population, 68,365 residents (#3 of 58 county ZIPs), across 151.78 square miles (450/sq mi). For a full breakdown of Santa Clara County's crime categories and year-over-year trend, see the Santa Clara County crime page linked below.

ZIP 95020 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Santa Clara County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 95020 Census context

These are ZIP/ZCTA demographic estimates, separate from the county-level FBI proxy above. They describe the local settlement, not a crime rate.

Median household income
$128,977
Median age
36.2 years
Owner-occupied homes
65%
Occupied homes
19,807

Source: U.S. Census Bureau, ACS 2022 5-year ZCTA estimates (income, age, and occupied housing tenure).

How useful is the county proxy for ZIP 95020?

Within the participating-agency records for Santa Clara County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 96% below and property crime is 96% below. The two submitted measures point in the same direction, but they do not establish complete county coverage or turn the result into a ZIP-level rating for 95020. Both comparisons use the same 2024 county reporting population and FBI-submitted counts, so the two directions are internally comparable for this release, not evidence about a different year.

Within the county, 95020 is one of the most populous ZIPs (#3 of 58). Its 68,365 residents therefore represent a comparatively large share of the local population, but the county total still combines reports from places outside this ZIP.

Santa Clara County UCR book ZIP 95020 inherits

ZIP 95020 itself is about 450 people per Census sq mi across 151.8 sq mi (68,365 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 95020 accounts for roughly 3.5% of the county reporting population (68,365 of 1,936,259).

Santa Clara County leans on larceny-theft at 54% of reported offenses (mix index 3,537). ZIP 95020 has no separate FBI offense book.

Santa Clara County 2024 vs 2023: violent counts -11% vs 2023; property counts +11% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Santa Clara County offense mix (2024)

Mix index is HHI × 10,000 on county offense-type shares. Distinct from the per-100K rates in the hero; still county-agency data, not a ZIP-native FBI table.

Nationwide peers for ZIP 95020

Similar county violent rate (~14/100K)

Similar Census population (~68,365)

County detail: Santa Clara County · State atlas: California

Sources: U.S. Census Bureau (ZIP population, land area, 2020 ZCTA-to-county relationship file, ACS 5-year estimates) and FBI Uniform Crime Reporting (UCR) Program, Crime in the United States (CIUS) Table 10 (county-level crime, attributed via ZIP-to-county crosswalk).

Verify with Census.gov Geography and FBI.gov UCR.

Read our methodology , how this data is sourced, computed, and verified.

Every figure on PlainCrime is rendered directly from FBI Uniform Crime Reporting (UCR) source data, no number is typed in by an editor. This page combines Census ZIP-level figures with a ZIP-to-county crosswalk to attribute FBI UCR crime data honestly, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.