ZIP code profile · 2024 county data

ZIP Code 29114

Florence County, South Carolina: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

1,418
Property rate /100K (county)
1,459
Population (ZIP)
463
Violent rate /100K (county)

Is ZIP code 29114 safe? Honest data snapshot

ZIP code 29114 sits within Florence County, SC, a county whose reported crime runs above the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Florence County's reported crime sits somewhat above the national average: 463 violent and 1,418 property incidents per 100,000 residents in 2024.

With 1,459 residents, ZIP 29114 is among the smaller ZIPs in Florence County (#11 of 11 by population), spread across 34.56 square miles (42/sq mi). For a full breakdown of Florence County's crime categories and year-over-year trend, see the Florence County crime page linked below.

ZIP 29114 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Florence County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 29114 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
$56,806
Median age
54.4 years
Owner-occupied homes
86%
Occupied homes
549

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 29114?

Participating agencies give Florence County a split reported profile: violent crime is 32% above the U.S. benchmark while property crime is 17% below it. A single "high" or "low" label would hide that difference; the submissions neither establish complete county coverage nor identify conditions within ZIP 29114. 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.

Within the county, 29114 is among the smaller ZIPs by population (#11 of 11). County-wide counts are especially coarse context for a smaller postal area because most of the denominator and reported incidents may sit elsewhere in the county.

Florence County UCR book ZIP 29114 inherits

ZIP 29114 itself is about 42 people per Census sq mi across 34.6 sq mi (1,459 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 29114 is about 1.1% of the county reporting population (1,459 of 137,059), so most of the denominator and submitted incidents sit outside this postal code.

Florence County leans on larceny-theft at 53% of reported offenses (mix index 3,459). ZIP 29114 has no separate FBI offense book.

Florence County 2024 vs 2023: violent counts +9% vs 2023; property counts -8% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Florence 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 29114

Similar county violent rate (~463/100K)

Similar Census population (~1,459)

County detail: Florence County · State atlas: South Carolina

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.