ZIP code profile · 2024 county data

ZIP Code 92257

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

Data updated 2026-08-24

149
Property rate /100K (county)
1,186
Population (ZIP)
60
Violent rate /100K (county)

Is ZIP code 92257 safe? Honest data snapshot

ZIP code 92257 sits within Imperial 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: 60 violent incidents and 149 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 92257 carries a Census-reported population of 1,186, ranking #12 of 15 ZIPs in Imperial County, spread across 270.67 square miles (about 4 people per square mile). For a full breakdown of Imperial County's crime categories and year-over-year trend, see the Imperial County crime page linked below.

ZIP 92257 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Imperial County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 92257 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
$11,181
Median age
37.7 years
Owner-occupied homes
46%
Occupied homes
587

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 92257?

Within the participating-agency records for Imperial County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 83% 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 92257. 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.

92257 is comparatively spread out at about 4 people per square mile. That settlement pattern may differ sharply from the county's population centers, another reason to use the county rates as regional context rather than a local estimate.

Imperial County UCR book ZIP 92257 inherits

ZIP 92257 itself is about 4 people per Census sq mi across 270.7 sq mi (1,186 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 92257 is about 0.7% of the county reporting population (1,186 of 179,702), so most of the denominator and submitted incidents sit outside this postal code.

Imperial County leans on larceny-theft at 41% of reported offenses (mix index 2,797). ZIP 92257 has no separate FBI offense book.

Imperial County 2024 vs 2023: violent counts -38% vs 2023; property counts -35% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Imperial 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 92257

Similar county violent rate (~60/100K)

Similar Census population (~1,186)

County detail: Imperial 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.

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.