ZIP code profile · 2024 county data

ZIP Code 39150

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

Data updated 2026-08-24

482
Violent rate /100K (county)
5,240
Population (ZIP)
328
Property rate /100K (county)

Is ZIP code 39150 safe? Honest data snapshot

ZIP code 39150 sits within Claiborne County, MS, a county whose reported crime runs above the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Claiborne County's reported crime sits somewhat above the national average: 482 violent and 328 property incidents per 100,000 residents in 2024.

ZIP 39150 carries a Census-reported population of 5,240, ranking #1 of 3 ZIPs in Claiborne County, spread across 226.49 square miles (about 23 people per square mile). For a full breakdown of Claiborne County's crime categories and year-over-year trend, see the Claiborne County crime page linked below.

ZIP 39150 has no FBI-native crime rate (postal codes are not police jurisdictions). The violent-led county proxy above is from Claiborne County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 39150 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
$38,438
Median age
38.9 years
Owner-occupied homes
76%
Occupied homes
1,801

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 39150?

Participating agencies give Claiborne County a split reported profile: violent crime is 37% above the U.S. benchmark while property crime is 81% below it. A single "high" or "low" label would hide that difference; the submissions neither establish complete county coverage nor identify conditions within ZIP 39150. 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.

39150 is comparatively spread out at about 23 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.

Claiborne County UCR book ZIP 39150 inherits

ZIP 39150 itself is about 23 people per Census sq mi across 226.5 sq mi (5,240 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 39150's 5,240 residents are about 57.4% of the 2024 county reporting population (9,135), a large postal share of a county-wide rate.

Claiborne County's 2024 UCR book concentrates in aggravated assault (57% of 74 offenses; mix index 4,003). ZIP 39150 inherits that county mix, not a postal-native split.

Claiborne County 2024 vs 2022: violent counts +144% vs 2022; property counts +76% vs 2022. Year-over-year moves are county agency submissions, still not ZIP-native.

Claiborne 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 39150

Similar Census population (~5,240)

County detail: Claiborne County · State atlas: Mississippi

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.