Monthly Traffic Safety Analysis

21,035 CRASHES IN
OHIO, OH
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

In February 2022, Ohio recorded 21,035 total vehicle crashes, a 4.2% increase from the 20,188 crashes documented in February 2021. While total crashes and resulting injuries rose, the number of fatalities remained nearly stable, with 63 in the current period compared to 62 in the prior year. A notable year-over-year shift occurred in crash conditions, with collisions in snow decreasing by 43.4% from 4,274 to 2,418, while crashes in rain increased by over 300%, from 532 to 2,126.

21,035

4.2%was 20,188

Total Crash Events

63

1.6%was 62

Persons Killed

6,567

5.1%was 6,251

Persons Injured

3,778

-1.1%was 3,820

Hit-and-Run Crashes

Note: "Persons Killed" (63) counts individual fatalities across all crash events. "Fatal" in the severity table below (59) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for February 2022 indicates an upward trend compared to the same month in the previous year. Total collisions increased by 4.2%, rising from 20,188 to 21,035. Similarly, the number of persons injured grew by 5.1% from 6,251 to 6,567, while fatalities saw a slight increase from 62 to 63.

3,778

Hit-and-Run Crashes — February 2022

-1.1% vs prior (3,820)

Hit-and-run incidents showed a slight downward trend in February 2022 compared to the same month in 2021. The total number of hit-and-run crashes decreased from 3,820 to 3,778. Correspondingly, the hit-and-run rate, which measures the proportion of all crashes that were hit-and-runs, declined from 18.9% to 18.0%.

Vulnerable Road User Casualties

13

Pedestrians Killed

Prior: 944.4%

50

Motorists Killed

Prior: 53-5.7%

139

Pedestrians Injured

Prior: 12015.8%

6,428

Motorists Injured

Prior: 6,1314.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed minor shifts between February 2021 and February 2022. The peak day for crashes moved from Wednesday (3,302 incidents) in the prior year to Thursday (3,479 incidents) in the current period. The peak hour for collisions shifted slightly earlier, from the 4 p.m. hour in 2021 (1,580 crashes) to the 3 p.m. hour in 2022 (1,554 crashes), though the afternoon commute hours consistently saw the highest crash volumes in both years.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The distribution of crash severity remained largely consistent year-over-year, with fatal crashes holding steady at 59 incidents in both February 2021 and February 2022. Crashes resulting in serious injuries increased both in count, from 304 to 355, and as a proportion of all crashes, from 1.5% to 1.7%. Conversely, minor injury crashes saw a slight proportional decrease from 10.9% to 10.6% of all incidents, while the share of crashes with no reported injuries was unchanged at 77.6%.

Severity is per crash event (most severe injury). 59 fatal crash events resulted in 63 persons killed.

Outcome by Severity (Crash Events)

Fatal59fatal crashes0.3%
0.0%prior 59
Serious Injury355serious injury crashes1.7%
16.8%prior 304
Minor Injury2,226minor injury crashes10.6%
0.8%prior 2,208
Possible Injury2,066possible injury crashes9.8%
6.3%prior 1,943
No Injury16,329no injury crashes77.6%
4.2%prior 15,674

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions in February 2022 differed significantly from the prior year, primarily due to weather. The proportion of crashes occurring in snow fell sharply from 21.2% (4,274 crashes) in 2021 to 11.5% (2,418 crashes) in 2022. Conversely, crashes in rainy conditions increased substantially, accounting for 10.1% of all incidents (2,126 crashes) compared to just 2.6% (532 crashes) the previous year. Lighting conditions for crashes remained consistent, with daylight accounting for approximately 57% of the total in both periods.

Weather

Clear10,532 (50.1%)
19.0%prior 8,847
Cloudy4,960 (23.6%)
-17.0%prior 5,976
Snow2,418 (11.5%)
-43.4%prior 4,274
Rain2,126 (10.1%)
299.6%prior 532
Sleet; Hail386 (1.8%)
208.8%prior 125
Freezing Rain or Freezing Drizzle296 (1.4%)
199.0%prior 99
Other/Unknown240 (1.1%)
-0.4%prior 241
Blowing Sand; Soil; Dirt; Snow39 (0.2%)
-18.8%prior 48
Severe Crosswinds20 (0.1%)
42.9%prior 14
Fog; Smog; Smoke18 (0.1%)
-43.8%prior 32

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash

Lighting

Daylight11,994 (57.0%)
4.1%prior 11,526
Dark - Lighted Roadway4,300 (20.4%)
4.4%prior 4,119
Dark - Roadway Not Lighted3,215 (15.3%)
3.7%prior 3,100
Dawn/Dusk1,214 (5.8%)
8.3%prior 1,121
Other/Unknown193 (0.9%)
-8.5%prior 211
Dark - Unknown Roadway Lighting119 (0.6%)
7.2%prior 111

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field

Road Surface

Dry11,451 (54.4%)
12.4%prior 10,186
Wet4,891 (23.3%)
29.2%prior 3,786
Snow2,698 (12.8%)
-40.9%prior 4,564
Ice1,528 (7.3%)
25.2%prior 1,220
Slush242 (1.2%)
-2.0%prior 247
Other/Unknown171 (0.8%)
6.2%prior 161
Water (Standing; Moving)46 (0.2%)
283.3%prior 12
Sand; Mud; Dirt; Oil; Gravel8 (0.0%)
-33.3%prior 12

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field

Vehicles & Demographics

The top vehicle makes involved in crashes, including Chevrolet, Ford, and Honda, maintained their rankings with similar involvement counts compared to the prior year. An analysis of persons involved shows the 26-34 age group remained the most represented in both periods, with 7,343 individuals in February 2022 compared to 7,252 in the prior year. There was a shift in other age demographics, as the 35-44 age group's involvement increased from 5,806 to 6,478, moving it to the second most-involved group.

Top Vehicle Makes (36,833 vehicles)

1
CHEVROLET5,427 (14.7%)
-0.0%prior 5,429
2
FORD5,218 (14.2%)
2.1%prior 5,111
3
HONDA3,051 (8.3%)
7.2%prior 2,846
4
TOYOTA2,716 (7.4%)
6.1%prior 2,559
5
DODGE1,868 (5.1%)
-4.4%prior 1,953
6
NISSAN1,678 (4.6%)
9.7%prior 1,530
7
JEEP1,600 (4.3%)
10.7%prior 1,445
8
KIA1,418 (3.8%)
16.9%prior 1,213
9
HYUNDAI1,373 (3.7%)
2.9%prior 1,334
10
GMC1,036 (2.8%)
4.6%prior 990

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records

3,563 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (42,118 persons with recorded sex)

Male23,812 (56.5%)
5.8%prior 22,515
Female18,306 (43.5%)
7.6%prior 17,017

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2022-02-01 through 2022-02-28
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-02-01 through 2022-02-28 (28 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 21,035
  • Total persons involved: 45,021
  • Total vehicles involved: 36,833

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: February 2022." Published July 5, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-2022-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Ohio (Statewide) Crash Report — February 2022 | ThatCarHitMe.com