ZIP code profile · 2024 county data

ZIP Code 95356

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

Data updated 2026-08-24

159
Property rate /100K (county)
33,033
Population (ZIP)
69
Violent rate /100K (county)

Is ZIP code 95356 safe? Honest data snapshot

ZIP code 95356 sits within Stanislaus 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: 69 violent incidents and 159 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 95356 carries a Census-reported population of 33,033, ranking #8 of 25 ZIPs in Stanislaus County, spread across 22.21 square miles (about 1,487 people per square mile). For a full breakdown of Stanislaus County's crime categories and year-over-year trend, see the Stanislaus County crime page linked below.

ZIP 95356 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Stanislaus County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 95356 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
$91,034
Median age
39.7 years
Owner-occupied homes
67%
Occupied homes
11,288

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 95356?

Within the participating-agency records for Stanislaus County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 80% below and property crime is 91% 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 95356. 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.

ZIP 95356 sits near the middle of Stanislaus County's ZIP population ordering (#8 of 25). The county comparison is useful regional context, but it cannot say how reported incidents are distributed within this postal area.

Stanislaus County UCR book ZIP 95356 inherits

ZIP 95356 itself is about 1,487 people per Census sq mi across 22.2 sq mi (33,033 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 95356 accounts for roughly 6% of the county reporting population (33,033 of 552,878).

Stanislaus County leans on larceny-theft at 43% of reported offenses (mix index 2,999). ZIP 95356 has no separate FBI offense book.

Stanislaus County 2024 vs 2023: violent counts -7% vs 2023; property counts -14% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Stanislaus 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 95356

Similar county violent rate (~69/100K)

Similar Census population (~33,033)

County detail: Stanislaus 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.