County crime profile · 2024 · large county · property-led
At 78,624 residents, Sullivan County is a large county in New York. FBI UCR county totals below are read before any per-100,000 rate (Census denominator when matched).
Data updated 2026-08-24
Sullivan County, NY reported 27 violent crimes per 100,000 in FBI UCR 2024
According to the FBI Uniform Crime Reporting (UCR) Program for 2024, Sullivan County, NY agencies reported 21 violent and 280 property offenses. That equals about 27 violent and 356 property crimes per 100,000 using a verified Census population join. Table 10 coverage is a voluntary subset of U.S. counties.
Small-count caution
Sullivan County reported 21 violent offences in 2024 against a population of 78,624. At this volume one additional or one fewer report moves the per-100,000 rate noticeably, so the figure is better read as a data point than as a precise measurement, and year-to-year swings here are expected.
Offense mix
Violent offenses are 7.0% of the 301 Part I offenses reported in Sullivan County for 2024, against a median of 11.4% across comparable New York counties — a gap of 4.4 points. Offense mix is shaped by which agencies report and how incidents are classified as well as by the underlying offenses, so it describes the reported record rather than a settled difference in conditions.
2020–2024 direction
Across 3 comparable reporting years, the rate moved from 29.3 per 100,000 in 2020 to 26.7 in 2024 (-8.7%). The highest observed value was 29.3 in 2020 and the lowest 26.7 in 2023. Years whose submission failed the completeness test are left out of this comparison rather than plotted as change.
Position in the state cohort
At 26.7 reported violent offenses per 100,000 residents in 2024, Sullivan County ranks 19 of 39 — above 20 of the 38 other New York counties whose 2024 submission passes this site’s completeness test and carries a matched Census denominator. That is +6.8% against the cohort median of 25.0. Counties that did not report, or that reported implausibly low totals, are excluded from this cohort rather than counted as low-crime.
On a large county row, county figures aggregate every participating agency inside the county. Participation is voluntary. Per-100,000 rates use a separately matched 2020 U.S. Census county population, never a Table 10 field; unmatched counties stay count-only. A large county line encloses very different communities.
| Category | Count |
|---|---|
| Property Crime | 280 |
| Burglary | 41 |
| Larceny-Theft | 231 |
| Motor Vehicle Theft | 8 |
| Arson | 1 |
| Violent Crime | 21 |
| Murder | 0 |
| Rape | 0 |
| Robbery | 2 |
| Aggravated Assault | 19 |
Sullivan County's crime figures on this page originate from Sullivan County Sheriff's Office's submission to the FBI's Uniform Crime Reporting Program.
This agency reports via the traditional Summary Reporting System (SRS): aggregate monthly offense counts rather than incident-level detail.
A per-capita rate is easiest to read against places of similar scale, so these are the New York counties closest to Sullivan County in population. Their populations run from 68,016 to 91,283, against 78,624 here. Or launch the side-by-side compare tool to benchmark two jurisdictions directly.
State atlas: New York · Compare · Rankings
Source: FBI Uniform Crime Reporting (UCR) Program, Crime in the United States (CIUS) Table 10.
FBI Table 10 supplies county offense counts but no resident population. Where this page shows a per-100,000 rate, the denominator is a separately matched 2020 U.S. Census Bureau county population; unmatched county rows remain count-only. Statewide comparisons draw on the state UCR program. Verify with FBI.gov UCR and Census.gov QuickFacts.
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 draws directly on FBI Uniform Crime Reporting source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.