ZIP code profile · 2024 county data

ZIP Code 31765

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

Data updated 2026-08-24

561
Property rate /100K (county)
2,585
Population (ZIP)
147
Violent rate /100K (county)

Is ZIP code 31765 safe? Honest data snapshot

ZIP code 31765 sits within Mitchell County, GA, 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: 147 violent incidents and 561 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 31765 carries a Census-reported population of 2,585, ranking #4 of 5 ZIPs in Mitchell County, spread across 82.85 square miles (about 31 people per square mile). For a full breakdown of Mitchell County's crime categories and year-over-year trend, see the Mitchell County crime page linked below.

ZIP 31765 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Mitchell County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 31765 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
$40,938
Median age
38.6 years
Owner-occupied homes
71%
Occupied homes
962

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 31765?

Within the participating-agency records for Mitchell County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 58% below and property crime is 67% 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 31765. 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.

31765 is comparatively spread out at about 31 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.

Mitchell County UCR book ZIP 31765 inherits

ZIP 31765 itself is about 31 people per Census sq mi across 82.9 sq mi (2,585 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 31765 accounts for roughly 11.9% of the county reporting population (2,585 of 21,755).

Mitchell County leans on larceny-theft at 51% of reported offenses (mix index 3,420). ZIP 31765 has no separate FBI offense book.

Mitchell County 2024 vs 2023: violent counts +100% vs 2023; property counts -18% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Mitchell 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 31765

Similar county violent rate (~147/100K)

Similar Census population (~2,585)

County detail: Mitchell County · State atlas: Georgia

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.