ZIP code profile · 2024 county data

ZIP Code 93245

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

Data updated 2026-08-24

263
Property rate /100K (county)
37,439
Population (ZIP)
101
Violent rate /100K (county)

Is ZIP code 93245 safe? Honest data snapshot

ZIP code 93245 sits within Kings 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: 101 violent incidents and 263 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 93245 carries a Census-reported population of 37,439, ranking #2 of 8 ZIPs in Kings County, spread across 118.9 square miles (about 315 people per square mile). For a full breakdown of Kings County's crime categories and year-over-year trend, see the Kings County crime page linked below.

ZIP 93245 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Kings County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 93245 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
$75,696
Median age
30.6 years
Owner-occupied homes
49%
Occupied homes
11,788

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 93245?

Within the participating-agency records for Kings County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 71% below and property crime is 85% 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 93245. 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 93245 sits near the middle of Kings County's ZIP population ordering (#2 of 8). The county comparison is useful regional context, but it cannot say how reported incidents are distributed within this postal area.

Kings County UCR book ZIP 93245 inherits

ZIP 93245 itself is about 315 people per Census sq mi across 118.9 sq mi (37,439 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 93245's 37,439 residents are about 24.6% of the 2024 county reporting population (152,486), a large postal share of a county-wide rate.

Kings County leans on larceny-theft at 54% of reported offenses (mix index 3,711). ZIP 93245 has no separate FBI offense book.

Kings County 2024 vs 2023: violent counts +33% vs 2023; property counts +20% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Kings 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 93245

Similar county violent rate (~101/100K)

Similar Census population (~37,439)

County detail: Kings 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.