ZIP code profile · 2024 county data

ZIP Code 29010

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

Data updated 2026-08-24

1,785
Property rate /100K (county)
11,955
Population (ZIP)
750
Violent rate /100K (county)

Is ZIP code 29010 safe? Honest data snapshot

ZIP code 29010 sits within Lee County, SC, a county whose reported crime runs above the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Reported crime here runs well above the national average: 750 violent incidents and 1,785 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 29010 carries a Census-reported population of 11,955, ranking #1 of 4 ZIPs in Lee County, spread across 198.82 square miles (about 60 people per square mile). For a full breakdown of Lee County's crime categories and year-over-year trend, see the Lee County crime page linked below.

ZIP 29010 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Lee County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 29010 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
$37,598
Median age
40.4 years
Owner-occupied homes
68%
Occupied homes
4,376

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 29010?

Within the participating-agency records for Lee County, reported violent and property crime rates both sit above their U.S. benchmarks: violent crime is 113% above and property crime is 4% above. The two submitted measures point in the same direction, but they do not establish complete county coverage or locate crime inside ZIP 29010. 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.

29010 is comparatively spread out at about 60 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.

Lee County UCR book ZIP 29010 inherits

ZIP 29010 itself is about 60 people per Census sq mi across 198.8 sq mi (11,955 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 29010's 11,955 residents are about 72.3% of the 2024 county reporting population (16,531), a large postal share of a county-wide rate.

Lee County leans on larceny-theft at 48% of reported offenses (mix index 3,130). ZIP 29010 has no separate FBI offense book.

Lee County 2024 vs 2023: violent counts +51% vs 2023; property counts -4% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Lee 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 29010

Similar county violent rate (~750/100K)

Similar Census population (~11,955)

County detail: Lee 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.