Area Safety Data

State hub ยท OH

Safest cities in Ohio? Lowest and highest property-crime candidates

Use this hub to compare validated Ohio city candidates by reported selected property-offense rate. It is a cautious city-page index, not a statewide safety ranking or personal-risk score.

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

Lowest-rate city candidates

Searchers often ask for the safest cities in a state. This section answers that intent carefully by showing the lowest reported selected property-offense rates among validated city candidates only.

10,832 residents Sagamore Hills 0.28 selected property offenses per 1,000 residents 11,442 residents Brunswick Hills Township 0.61 selected property offenses per 1,000 residents 5,171 residents Toronto 1.35 selected property offenses per 1,000 residents 5,062 residents Whitehouse 1.78 selected property offenses per 1,000 residents 5,390 residents Russell Township 1.86 selected property offenses per 1,000 residents 14,454 residents Olmsted Township 2.01 selected property offenses per 1,000 residents

Home-security guides

City data pages point into practical guides for renters, no-subscription setups, package areas, cameras, and entry alerts.

Buying guide Door and window alarms for renters Compare simple entry alarms for apartments, rented homes, garages, and windows before moving into heavier systems. Buying guide No-subscription home security starter kit Build a basic home-security setup with local alarms, lighting, locks, and cameras without starting with a monthly plan. Buying guide Package theft camera checklist Check porch visibility, driveway angles, storage, Wi-Fi, and evidence needs before buying a camera for package areas. Buying guide Security camera checklist Evaluate exterior visibility, entry coverage, storage needs, and placement before choosing a camera system. Buying guide Smart lock and entry sensor checklist Start with reliable locks, entry sensors, lighting, and backup access before adding convenience features. Buying guide Basic home-security checklist A balanced setup can cover entries, packages, motion, lighting, and alerts without overbuying.

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