ZIP code profile · 2024 county data

ZIP Code 13417

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

Data updated 2026-08-24

82
Property rate /100K (county)
3,103
Population (ZIP)
17
Violent rate /100K (county)

Is ZIP code 13417 safe? Honest data snapshot

ZIP code 13417 sits within Oneida 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: 17 violent incidents and 82 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 13417 carries a Census-reported population of 3,103, ranking #15 of 46 ZIPs in Oneida County, spread across 1.42 square miles (about 2,185 people per square mile). For a full breakdown of Oneida County's crime categories and year-over-year trend, see the Oneida County crime page linked below.

ZIP 13417 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Oneida County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 13417 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
$55,167
Median age
49.8 years
Owner-occupied homes
50%
Occupied homes
1,655

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 13417?

Within the participating-agency records for Oneida County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 95% below and property crime is 95% 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 13417. 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 13417 sits near the middle of Oneida County's ZIP population ordering (#15 of 46). The county comparison is useful regional context, but it cannot say how reported incidents are distributed within this postal area.

Oneida County UCR book ZIP 13417 inherits

ZIP 13417 itself is about 2,185 people per Census sq mi across 1.4 sq mi (3,103 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 13417 is about 1.3% of the county reporting population (3,103 of 232,125), so most of the denominator and submitted incidents sit outside this postal code.

Oneida County's 2024 UCR book concentrates in larceny-theft (61% of 230 offenses; mix index 4,169). ZIP 13417 inherits that county mix, not a postal-native split.

Oneida County 2024 vs 2023: violent counts -28% vs 2023; property counts -5% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Oneida 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 13417

Similar county violent rate (~17/100K)

Similar Census population (~3,103)

County detail: Oneida 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.

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.