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Ohio property crime city data

Validated city-level FBI NIBRS selected property-offense pages for Ohio. This page summarizes candidate cities in the dataset; it is not a statewide crime-rate claim.

Candidate-city rate 14.55 per 1,000 residents across listed cities; not a statewide risk score

Validated cities59Current candidate pages

Candidate population945,045Sum of listed city estimates

Selected offenses13,755FBI NIBRS offense records

Highest-rate city candidates

Use the city pages for source notes, trend handling, and offense mix. Small or ambiguous places remain outside automatic publication.

21,789 residents Chillicothe 47.41 selected property offenses per 1,000 residents 6,680 residents Ontario 34.88 selected property offenses per 1,000 residents 11,118 residents Van Wert 32.83 selected property offenses per 1,000 residents 39,702 residents Boardman 31.08 selected property offenses per 1,000 residents 18,214 residents Niles 27.84 selected property offenses per 1,000 residents 12,349 residents Perkins Township 27.37 selected property offenses per 1,000 residents

Ohio city candidates

City	Population	Selected offenses	Rate per 1,000	Trend
Chillicothe	21,789	1,033	47.41	Roughly stable
Ontario	6,680	233	34.88	Increasing
Van Wert	11,118	365	32.83	Increasing
Boardman	39,702	1,234	31.08	Roughly stable
Niles	18,214	507	27.84	Increasing
Perkins Township	12,349	338	27.37	Increasing
Reynoldsburg	42,773	1,019	23.82	Mixed
Lancaster	41,753	937	22.44	Increasing
Brimfield Township	11,490	247	21.50	Decreasing
Upper Sandusky	6,642	141	21.23	Increasing
Sidney	20,421	428	20.96	Roughly stable
Gahanna	35,505	640	18.03	Roughly stable
Bazetta Township	5,859	94	16.04	Decreasing
West Chester Township	66,602	1,038	15.59	Roughly stable
Uhrichsville	5,121	79	15.43	Increasing
Kenton	7,858	119	15.14	Mixed
Miamisburg	20,263	296	14.61	Roughly stable
Girard	9,435	133	14.10	Increasing
Austintown	35,495	496	13.97	Decreasing
Hillsboro	6,571	88	13.39	Roughly stable
Fairborn	34,997	466	13.32	Roughly stable
New Albany	11,723	146	12.45	Roughly stable
Perrysburg Township	13,690	169	12.34	Increasing
Delhi Township	28,919	354	12.24	Increasing
Shelby	9,220	111	12.04	Roughly stable
Obetz	7,272	87	11.96	Decreasing
Wapakoneta	9,760	114	11.68	Roughly stable
Pickerington	25,863	299	11.56	Increasing
North Canton	17,674	198	11.20	Decreasing
Marysville	29,470	318	10.79	Decreasing
Groveport	5,853	63	10.76	Decreasing
Howland Township	18,927	198	10.46	Decreasing
Pierce Township	15,543	158	10.17	Roughly stable
Bainbridge Township	12,900	131	10.16	Mixed
Celina	10,909	107	9.81	Trend pending
Hilliard	38,668	368	9.52	Increasing
Brookville	5,964	51	8.55	Increasing
Germantown	5,878	48	8.17	Increasing
Bellefontaine	14,102	115	8.15	Decreasing
Champion Township	9,309	72	7.73	Roughly stable
Canal Fulton	5,377	40	7.44	Decreasing
Shawnee Township	12,519	91	7.27	Decreasing
Ada	5,143	33	6.42	Mixed
Johnstown	5,441	34	6.25	Increasing
Delphos	7,073	44	6.22	Roughly stable
Springboro	19,548	120	6.14	Increasing
Ironton	10,176	49	4.82	Decreasing
Martins Ferry	6,083	26	4.27	Decreasing
Hinckley Township	8,173	29	3.55	Increasing
Orrville	8,460	28	3.31	Decreasing
Copley Township	18,422	59	3.20	Decreasing
Columbiana	6,731	21	3.12	Decreasing
Genoa Township	27,267	78	2.86	Decreasing
Olmsted Township	14,454	29	2.01	Mixed
Russell Township	5,390	10	1.86	Increasing
Whitehouse	5,062	9	1.78	Decreasing
Toronto	5,171	7	1.35	Increasing
Brunswick Hills Township	11,442	7	0.61	Decreasing
Sagamore Hills	10,832	3	0.28	Decreasing

Important context

These figures are based on reported selected property offenses and Census population context for validated city candidates. Agency reporting boundaries can differ from municipal boundaries, so the methodology page explains why ambiguous or tiny-denominator rows stay out of automatic publication.

Read methodology