Monthly Traffic Safety Analysis

305 CRASHES IN
OHIO, OH
DECEMBER 2022

All metrics benchmarked againstDecember 2021

In December 2022, Allen County recorded 305 vehicle crashes, a 7.4% increase from the 284 crashes documented in December 2021. While total collisions rose, the number of injuries decreased from 113 to 94. The most notable year-over-year shift was in environmental conditions, with crashes on roads with snow or ice increasing from 3 in the prior period to 61 in the current period.

305

7.4%was 284

Total Crash Events

1

Persons Killed

94

-16.8%was 113

Persons Injured

48

4.3%was 46

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash totals in Allen County trended upward in December 2022 compared to the same month in the previous year, rising by 7.4% from 284 to 305 incidents. Despite the increase in total crashes, the number of resulting injuries decreased by 16.8% from 113 to 94. The number of fatalities remained stable, with one death recorded in each period.

48

Hit-and-Run Crashes — December 2022

4.3% vs prior (46)

The absolute number of hit-and-run crashes in Allen County saw a minor increase from 46 incidents in December 2021 to 48 in December 2022. However, because the total number of crashes increased, the hit-and-run rate as a proportion of all collisions slightly decreased, moving from 16.2% to 15.7% year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 10.0%

5

Pedestrians Injured

Prior: 366.7%

89

Motorists Injured

Prior: 110-19.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. The peak day for collisions moved from Wednesday (56 crashes) in December 2021 to Thursday (62 crashes) in December 2022. Similarly, the busiest hour for crashes shifted from 1 p.m. in the prior period to the 5 p.m. evening commute hour in the current period, which saw 29 incidents.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the number of fatal crashes was unchanged at one for both periods, the fatal crash rate saw a marginal decrease from 0.35% to 0.33% due to the higher total number of crashes in December 2022. The proportion of crashes resulting in any type of injury fell from 27.5% in the prior year to 21.3% in the current year. This was driven by a notable drop in minor injury crashes from 42 to 22, even as serious injury crashes increased slightly from 4 to 5.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
0.0%prior 1
Serious Injury5serious injury crashes1.6%
25.0%prior 4
Minor Injury22minor injury crashes7.2%
-47.6%prior 42
Possible Injury38possible injury crashes12.5%
18.8%prior 32
No Injury239no injury crashes78.4%
16.6%prior 205

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Adverse road conditions were a significantly larger factor in crashes during December 2022 compared to the prior year. Crashes occurring on roads with snow or ice surged from just 3 incidents in December 2021 to 61 in December 2022, accounting for 20% of all crashes in the current period. In contrast, the proportion of crashes on dry surfaces decreased from 63.0% to 57.0%, while lighting conditions remained proportionally similar between the two periods.

Weather

Clear122 (40.0%)
-9.6%prior 135
Cloudy118 (38.7%)
22.9%prior 96
Snow21 (6.9%)
Rain19 (6.2%)
-54.8%prior 42
Blowing Sand; Soil; Dirt; Snow13 (4.3%)
Other/Unknown4 (1.3%)
Fog; Smog; Smoke4 (1.3%)
Severe Crosswinds3 (1.0%)
Sleet; Hail1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight136 (44.6%)
-2.9%prior 140
Dark - Roadway Not Lighted78 (25.6%)
2.6%prior 76
Dark - Lighted Roadway56 (18.4%)
16.7%prior 48
Dawn/Dusk29 (9.5%)
70.6%prior 17
Other/Unknown4 (1.3%)
Dark - Unknown Roadway Lighting2 (0.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry174 (57.0%)
-2.8%prior 179
Wet66 (21.6%)
-34.0%prior 100
Snow31 (10.2%)
Ice30 (9.8%)
Other/Unknown3 (1.0%)
Slush1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The types of vehicles involved in crashes showed some shifts year-over-year, with Sport Utility Vehicles increasing from 115 to 140, while Pick up trucks decreased from 64 to 44. Passenger cars remained the most common vehicle type, with their involvement rising from 238 to 253 vehicles. Among vehicle makes, Chevrolet and Ford continued to be the most frequently involved, with 86 vehicles each in December 2022, compared to 86 and 92, respectively, in the prior year.

Top Vehicle Makes (509 vehicles)

1
CHEVROLET86 (16.9%)
0.0%prior 86
2
FORD86 (16.9%)
-6.5%prior 92
3
HONDA44 (8.6%)
33.3%prior 33
4
DODGE36 (7.1%)
9.1%prior 33
5
CHRYSLER22 (4.3%)
4.8%prior 21
6
KIA22 (4.3%)
37.5%prior 16
7
TOYOTA21 (4.1%)
75.0%prior 12
8
JEEP20 (3.9%)
33.3%prior 15
9
BUICK19 (3.7%)
58.3%prior 12
10
NISSAN18 (3.5%)
5.9%prior 17

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

46 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (653 persons with recorded sex)

Male339 (51.9%)
4.0%prior 326
Female314 (48.1%)
11.0%prior 283

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 305
  • Total persons involved: 690
  • Total vehicles involved: 509

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: December 2022." Published July 6, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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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Allen County, OH Crash Report — December 2022 | ThatCarHitMe.com