ZIP code profile · 2024 county data

ZIP Code 29170

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

Data updated 2026-08-24

1,213
Property rate /100K (county)
21,279
Population (ZIP)
214
Violent rate /100K (county)

Is ZIP code 29170 safe? Honest data snapshot

ZIP code 29170 sits within Lexington County, SC, a county whose reported crime runs below the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Lexington County's reported crime sits somewhat below the national average: 214 violent and 1,213 property incidents per 100,000 residents in 2024.

ZIP 29170 carries a Census-reported population of 21,279, ranking #6 of 13 ZIPs in Lexington County, spread across 24.45 square miles (about 870 people per square mile). For a full breakdown of Lexington County's crime categories and year-over-year trend, see the Lexington County crime page linked below.

ZIP 29170 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Lexington County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 29170 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
$69,880
Median age
40.6 years
Owner-occupied homes
82%
Occupied homes
8,707

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 29170?

Within the participating-agency records for Lexington County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 39% below and property crime is 29% 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 29170. 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.

ZIP 29170 sits near the middle of Lexington County's ZIP population ordering (#6 of 13). The county comparison is useful regional context, but it cannot say how reported incidents are distributed within this postal area.

Lexington County UCR book ZIP 29170 inherits

ZIP 29170 itself is about 870 people per Census sq mi across 24.5 sq mi (21,279 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 29170 accounts for roughly 7.2% of the county reporting population (21,279 of 293,991).

Lexington County leans on larceny-theft at 58% of reported offenses (mix index 3,891). ZIP 29170 has no separate FBI offense book.

Lexington County 2024 vs 2023: violent counts -6% vs 2023; property counts -13% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Lexington 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 29170

Similar county violent rate (~214/100K)

Similar Census population (~21,279)

County detail: Lexington 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.