ZIP code profile · 2024 county data

ZIP Code 11793

Nassau County, New York: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

852
Property rate /100K (county)
30,865
Population (ZIP)
125
Violent rate /100K (county)

Is ZIP code 11793 safe? Honest data snapshot

ZIP code 11793 sits within Nassau County, NY, 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: 125 violent incidents and 852 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 11793 carries a Census-reported population of 30,865, ranking #16 of 69 ZIPs in Nassau County, spread across 9.86 square miles (about 3,130 people per square mile). For a full breakdown of Nassau County's crime categories and year-over-year trend, see the Nassau County crime page linked below.

ZIP 11793 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Nassau County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 11793 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
$164,773
Median age
41.7 years
Owner-occupied homes
95%
Occupied homes
10,348

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 11793?

Within the participating-agency records for Nassau County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 64% below and property crime is 50% 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 11793. 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.

11793 is a densely settled part of the county at about 3,130 people per square mile. Density is not a crime predictor on its own; it only shows why a county-wide average can conceal a very different local setting inside this ZIP.

Nassau County UCR book ZIP 11793 inherits

ZIP 11793 itself is about 3,130 people per Census sq mi across 9.9 sq mi (30,865 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 11793 accounts for roughly 2.2% of the county reporting population (30,865 of 1,395,774).

Nassau County's 2024 UCR book concentrates in larceny-theft (79% of 13,631 offenses; mix index 6,368). ZIP 11793 inherits that county mix, not a postal-native split.

Nassau County 2024 vs 2023: violent counts -7% vs 2023; property counts -19% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Nassau 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 11793

Similar county violent rate (~125/100K)

Similar Census population (~30,865)

County detail: Nassau County · State atlas: New York

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.