Yearly Traffic Safety Analysis

668 CRASHES IN
OHIO, OH
2023

All metrics benchmarked against2022

In 2023, Mercer County recorded 668 total vehicle crashes, a 2.2% decrease from the 683 crashes in 2022. While the overall crash volume remained relatively stable, the most significant year-over-year change was a substantial reduction in crash severity. Fatalities dropped by 69.2%, from 13 in the prior year to 4 in the current year.

668

-2.2%was 683

Total Crash Events

4

-69.2%was 13

Persons Killed

221

-4.3%was 231

Persons Injured

30

-23.1%was 39

Hit-and-Run Crashes

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in Mercer County shows a slight decrease in traffic incidents year-over-year, with total crashes falling by 2.2% from 683 to 668. More notably, severe outcomes improved significantly. Total injuries decreased by 4.3% from 231 to 221, and fatalities fell from 13 to 4.

30

Hit-and-Run Crashes — 2023

-23.1% vs prior (39)

Hit-and-run incidents decreased in both count and rate from 2022 to 2023. The total number of hit-and-run crashes fell from 39 to 30. As a percentage of all crashes, the hit-and-run rate declined from 5.7% in the prior year to 4.5% in the current year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

4

Motorists Killed

Prior: 12-66.7%

1

Pedestrians Injured

Prior: 8-87.5%

220

Motorists Injured

Prior: 223-1.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal crash patterns shifted between the two periods. The peak day for crashes moved from Friday (107 crashes) in 2022 to Wednesday (116 crashes) in 2023. The peak hour also changed, shifting from the 3 p.m. hour in the prior year (53 crashes) to the 6 a.m. hour in the current year (45 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity saw a marked improvement in 2023 compared to the prior year. The fatal crash rate fell from 1.8% to 0.6% of all incidents, with fatal crashes decreasing from 12 to 4. The proportion of crashes resulting in a serious injury was nearly halved, dropping from 4.8% to 2.5%, while the share of non-injury crashes increased from 73.9% to 78.9%.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.6%
-66.7%prior 12
Serious Injury17serious injury crashes2.5%
-48.5%prior 33
Minor Injury87minor injury crashes13%
-15.5%prior 103
Possible Injury33possible injury crashes4.9%
10.0%prior 30
No Injury527no injury crashes78.9%
4.4%prior 505

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across environmental conditions remained largely consistent year-over-year. Crashes on dry road surfaces accounted for approximately 79% of all incidents in both 2022 and 2023. There was a minor shift in lighting conditions, with the proportion of crashes occurring in daylight decreasing from 54.8% to 50.0%, and a corresponding slight increase in crashes in unlit, dark conditions from 33.4% to 36.8%.

Weather

Clear434 (65.0%)
-11.8%prior 492
Cloudy137 (20.5%)
26.9%prior 108
Rain58 (8.7%)
38.1%prior 42
Snow28 (4.2%)
3.7%prior 27
Fog; Smog; Smoke6 (0.9%)
Blowing Sand; Soil; Dirt; Snow4 (0.6%)
-33.3%prior 6
Severe Crosswinds1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight334 (50.0%)
-10.7%prior 374
Dark - Roadway Not Lighted246 (36.8%)
7.9%prior 228
Dawn/Dusk50 (7.5%)
35.1%prior 37
Dark - Lighted Roadway35 (5.2%)
-14.6%prior 41
Other/Unknown2 (0.3%)
Dark - Unknown Roadway Lighting1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry531 (79.5%)
-1.5%prior 539
Wet103 (15.4%)
15.7%prior 89
Snow17 (2.5%)
-52.8%prior 36
Ice15 (2.2%)
-11.8%prior 17
Sand; Mud; Dirt; Oil; Gravel2 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The top three vehicle makes involved in crashes—Chevrolet, Ford, and Honda—remained unchanged between the two years with nearly identical counts. However, Dodge vehicles were involved in significantly fewer crashes, dropping from 81 in 2022 to 54 in 2023. The age distribution of persons involved in crashes also remained stable, with the 16-20 age group representing the largest cohort in both periods (214 persons in 2022 and 221 in 2023).

Top Vehicle Makes (1,007 vehicles)

1
CHEVROLET187 (18.6%)
-5.6%prior 198
2
FORD175 (17.4%)
-2.2%prior 179
3
HONDA97 (9.6%)
1.0%prior 96
4
DODGE54 (5.4%)
-33.3%prior 81
5
GMC50 (5%)
16.3%prior 43
6
CHRYSLER48 (4.8%)
9.1%prior 44
7
NISSAN41 (4.1%)
78.3%prior 23
8
TOYOTA39 (3.9%)
0.0%prior 39
9
BUICK37 (3.7%)
8.8%prior 34
10
JEEP35 (3.5%)
6.1%prior 33

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (1,280 persons with recorded sex)

Male740 (57.8%)
-1.2%prior 749
Female540 (42.2%)
2.9%prior 525

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 668
  • Total persons involved: 1,294
  • Total vehicles involved: 1,007

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: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-annual-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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Mercer County, OH Crash Report — 2023 | ThatCarHitMe.com