Yearly Traffic Safety Analysis

1,823 CRASHES IN
FAIRFIELD, OH
2025

All metrics benchmarked against2024

Total crashes in Fairfield decreased by 2.62%, from 1872 in the prior year to 1823 in the current year. Despite this overall reduction in crashes, fatalities saw a substantial increase of 233.33%, rising from 3 deaths to 10. Injuries also increased by 3.06%, from 654 to 674. The most notable year-over-year shift was the significant increase in fatalities.

1,823

-2.6%was 1,872

Total Crash Events

10

233.3%was 3

Persons Killed

674

3.1%was 654

Persons Injured

207

-22.2%was 266

Hit-and-Run Crashes

Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in Fairfield experienced a slight decline year-over-year, decreasing by 2.62% from 1872 to 1823. However, this trend is contrasted by a significant increase in total fatalities, which rose by 233.33% from 3 to 10, and a 3.06% increase in total injuries, from 654 to 674.

207

Hit-and-Run Crashes — 2025

-22.2% vs prior (266)

Hit-and-run crashes decreased by 22.18% year-over-year, falling from 266 incidents in the prior period to 207 in the current period. The hit-and-run crash rate also saw a reduction, moving from 14.2% to 11.4%.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 2-50.0%

9

Motorists Killed

Prior: 1800.0%

12

Pedestrians Injured

Prior: 850.0%

662

Motorists Injured

Prior: 6462.5%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday in the prior year, with 322 incidents, to Tuesday in the current year, with 301 incidents. The peak hour remained consistent at 4 p.m. in both periods, though the count slightly decreased from 161 crashes to 158.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased significantly, rising from 3 in the prior year to 9 in the current year, leading to a fatal crash rate increase from 0.16% to 0.49%. Serious injuries (code A) remained relatively stable, with 47 incidents in the prior year and 46 in the current year. Minor injuries (code B) increased from 245 to 254, and possible injuries (code C) rose from 157 to 176.

Severity is per crash event (most severe injury). 9 fatal crash events resulted in 10 persons killed.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.5%
200.0%prior 3
Serious Injury46serious injury crashes2.5%
-2.1%prior 47
Minor Injury254minor injury crashes13.9%
3.7%prior 245
Possible Injury176possible injury crashes9.7%
12.1%prior 157
No Injury1,338no injury crashes73.4%
-5.8%prior 1,420

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

There was a notable increase in crashes occurring during snowy weather conditions, rising from 42 in the prior year to 103 in the current year. Correspondingly, crashes on snow-covered road surfaces increased from 34 to 107. Incidents during clear weather and on dry road surfaces both saw decreases, from 1137 to 1085 and 1457 to 1365, respectively.

Weather

Clear1,085 (59.5%)
-4.6%prior 1,137
Cloudy406 (22.3%)
-9.0%prior 446
Rain199 (10.9%)
-7.0%prior 214
Snow103 (5.7%)
145.2%prior 42
Other/Unknown13 (0.7%)
8.3%prior 12
Fog; Smog; Smoke10 (0.5%)
-9.1%prior 11
Freezing Rain or Freezing Drizzle2 (0.1%)
-60.0%prior 5
Severe Crosswinds2 (0.1%)
Sleet; Hail2 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight1,180 (64.7%)
-3.5%prior 1,223
Dark - Lighted Roadway299 (16.4%)
-3.2%prior 309
Dark - Roadway Not Lighted202 (11.1%)
-3.3%prior 209
Dawn/Dusk123 (6.7%)
4.2%prior 118
Dark - Unknown Roadway Lighting10 (0.5%)
Other/Unknown9 (0.5%)
0.0%prior 9

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry1,365 (74.9%)
-6.3%prior 1,457
Wet316 (17.3%)
-11.5%prior 357
Snow107 (5.9%)
214.7%prior 34
Ice22 (1.2%)
15.8%prior 19
Other/Unknown7 (0.4%)
Slush5 (0.3%)
Water (Standing; Moving)1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 3.58%, from 3432 to 3309. Chevrolet and Ford remained the top two vehicle makes, though their involvement counts decreased, while Honda surpassed Toyota to become the third most involved make. Demographically, crashes involving the 16-20 age group increased from 558 to 589, and crashes involving the 65+ age group decreased from 483 to 414.

Top Vehicle Makes (3,309 vehicles)

1
CHEVROLET448 (13.5%)
-6.1%prior 477
2
FORD416 (12.6%)
-6.7%prior 446
3
HONDA392 (11.8%)
2.1%prior 384
4
TOYOTA378 (11.4%)
-4.1%prior 394
5
NISSAN192 (5.8%)
-11.5%prior 217
6
KIA158 (4.8%)
1.3%prior 156
7
HYUNDAI149 (4.5%)
-8.6%prior 163
8
JEEP115 (3.5%)
10.6%prior 104
9
DODGE108 (3.3%)
-12.9%prior 124
10
GMC104 (3.1%)
35.1%prior 77

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (4,282 persons with recorded sex)

Male2,431 (56.8%)
0.1%prior 2,428
Female1,851 (43.2%)
-6.5%prior 1,980

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Fairfield, OH
  • Total crash records analyzed: 1,823
  • Total persons involved: 4,434
  • Total vehicles involved: 3,309

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). "Fairfield, OH Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/fairfield/2025-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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Fairfield, OH Crash Report — 2025 | ThatCarHitMe.com