ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FAIRFIELD, OH · 2022
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/fairfield/2022-annual-report
Yearly Traffic Safety Analysis
1,679 CRASHES IN
FAIRFIELD, OH
2022
Fairfield experienced 1,679 crashes in 2022, a 2.04% decrease from the 1,714 crashes recorded in 2021. While total fatalities remained constant at 7 in both years, there was a notable 13.90% reduction in total injuries, falling from 748 in 2021 to 644 in 2022.
1,679
▼ -2.0%was 1,714
Total Crash Events
7
Persons Killed
644
▼ -13.9%was 748
Persons Injured
259
▼ -7.2%was 279
Hit-and-Run Crashes
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, Fairfield saw a slight decrease in total crashes, dropping by 2.04% from 1,714 in 2021 to 1,679 in 2022. This trend was accompanied by a significant reduction in injuries, which fell by 13.90% from 748 to 644. Fatalities remained constant year-over-year at 7.
259
Hit-and-Run Crashes — 2022
▼ -7.2% vs prior (279)
Hit-and-run crashes decreased by 7.17%, falling from 279 incidents in 2021 to 259 in 2022. Correspondingly, the hit-and-run rate also saw a decrease, moving from 16.3% of all crashes in 2021 to 15.4% in 2022. This indicates a downward trend in the proportion of crashes involving a hit-and-run.
Vulnerable Road User Casualties
1
Pedestrians Killed
6
Motorists Killed
7
Pedestrians Injured
637
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Wednesday in 2021, with 279 incidents, to Friday in 2022, which recorded 300 crashes. The peak crash hour remained consistent at 3 p.m. in both years, although the number of crashes during this hour increased from 160 in 2021 to 172 in 2022.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The number of fatal crashes increased from 6 in 2021 to 7 in 2022, representing a 16.67% rise, and the fatal crash rate slightly increased from 0.35% to 0.42%. Crashes resulting in serious injuries (A) decreased by 11.32% from 53 to 47, while crashes with possible injuries (C) saw a more significant 21.89% reduction, falling from 201 to 157. Conversely, crashes with no reported injuries (O) increased by 2.24%, from 1203 to 1230.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The number of crashes occurring in rainy weather significantly decreased by 32.02%, from 203 in 2021 to 138 in 2022, and crashes on wet road surfaces also saw an 18.51% reduction, from 335 to 273. Conversely, crashes during snowy conditions increased by 11.11% (from 45 to 50) and on snowy road surfaces by 28.89% (from 45 to 58). Daylight and dark condition crashes remained relatively stable year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased by 2.21%, from 3,214 in 2021 to 3,143 in 2022. Chevrolet, Ford, and Toyota remained the top three vehicle makes involved in crashes, with Chevrolet and Ford seeing decreases of 9.78% and 10.00% respectively, while Toyota remained stable. Regarding demographics, the number of persons aged 0-25 involved in crashes decreased across all age groups, with the 16-20 age group seeing the largest reduction of 14.67%, while older age groups (35+) saw slight increases.
Top Vehicle Makes (3,143 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
233 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,905 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 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: 2022-01-01 through 2022-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: Fairfield, OH
- Total crash records analyzed: 1,679
- Total persons involved: 4,093
- Total vehicles involved: 3,143
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: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/fairfield/2022-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2022-01-01 – 2022-12-31
Generated: July 5, 2026 · All rights reserved