ZIP code profile · 2024 county data

ZIP Code 33948

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

Data updated 2026-08-24

745
Property rate /100K (county)
18,440
Population (ZIP)
111
Violent rate /100K (county)

Is ZIP code 33948 safe? Honest data snapshot

ZIP code 33948 sits within Charlotte County, FL, 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: 111 violent incidents and 745 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 33948 carries a Census-reported population of 18,440, ranking #3 of 13 ZIPs in Charlotte County, spread across 12.97 square miles (about 1,422 people per square mile). For a full breakdown of Charlotte County's crime categories and year-over-year trend, see the Charlotte County crime page linked below.

ZIP 33948 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Charlotte County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 33948 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
$59,861
Median age
60.1 years
Owner-occupied homes
86%
Occupied homes
7,839

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 33948?

Within the participating-agency records for Charlotte County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 68% below and property crime is 56% 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 33948. 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 33948 sits near the middle of Charlotte County's ZIP population ordering (#3 of 13). The county comparison is useful regional context, but it cannot say how reported incidents are distributed within this postal area.

Charlotte County UCR book ZIP 33948 inherits

ZIP 33948 itself is about 1,422 people per Census sq mi across 13 sq mi (18,440 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 33948 accounts for roughly 9.9% of the county reporting population (18,440 of 186,847).

Charlotte County's 2024 UCR book concentrates in larceny-theft (68% of 1,599 offenses; mix index 4,937). ZIP 33948 inherits that county mix, not a postal-native split.

Charlotte County 2024 vs 2023: violent counts -7% vs 2023; property counts +8% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Charlotte 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 33948

Similar county violent rate (~111/100K)

Similar Census population (~18,440)

County detail: Charlotte County · State atlas: Florida

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.