ZIP code profile · 2024 county data

ZIP Code 74932

Le Flore County, Oklahoma: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

266
Property rate /100K (county)
2,421
Population (ZIP)
91
Violent rate /100K (county)

Is ZIP code 74932 safe? Honest data snapshot

ZIP code 74932 sits within Le Flore County, OK, 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: 91 violent incidents and 266 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 74932 carries a Census-reported population of 2,421, ranking #7 of 19 ZIPs in Le Flore County, spread across 80.84 square miles (about 30 people per square mile). For a full breakdown of Le Flore County's crime categories and year-over-year trend, see the Le Flore County crime page linked below.

ZIP 74932 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Le Flore County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 74932 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
$44,671
Median age
38.6 years
Owner-occupied homes
78%
Occupied homes
870

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 74932?

Within the participating-agency records for Le Flore County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 74% below and property crime is 84% 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 74932. 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.

74932 is comparatively spread out at about 30 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.

Le Flore County UCR book ZIP 74932 inherits

ZIP 74932 itself is about 30 people per Census sq mi across 80.8 sq mi (2,421 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 74932 accounts for roughly 5% of the county reporting population (2,421 of 48,129).

Le Flore County keeps 7 active offense types diversified (mix index 2,477); larceny-theft still leads at 32%. ZIP 74932 inherits the county book.

Le Flore County 2024 vs 2023: violent counts +2% vs 2023; property counts -23% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Le Flore 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 74932

Similar county violent rate (~91/100K)

Similar Census population (~2,421)

County detail: Le Flore County · State atlas: Oklahoma

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.