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CRASH INTELLIGENCE REPORT · FAIRFIELD, OH · 2021
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/2021-annual-report
Yearly Traffic Safety Analysis
1,714 CRASHES IN
FAIRFIELD, OH
2021
In Fairfield, OH, during 2021, there were 1714 total crashes, resulting in 7 fatalities and 748 injuries. The crash data reveals that 16.3% of all crashes, totaling 279 incidents, were reported as hit-and-run events. This indicates a significant proportion of crashes where a driver left the scene.
1,714
Total Crash Events
7
Persons Killed
748
Persons Injured
16.3%
Hit-and-Run Rate
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
279
Hit-and-Run Crashes — 2021
Hit-and-run incidents accounted for 279 crashes, representing 16.3% of all crashes in Fairfield during 2021. This rate highlights a notable challenge in crash accountability within the jurisdiction. It is important to note that hit-and-run status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, 7 motorists were killed in Fairfield crashes, while 741 motorists sustained injuries. Pedestrians accounted for 7 injuries, with no pedestrian fatalities reported. No cyclists were killed or injured during this period.
0
Pedestrians Killed
7
Motorists Killed
7
Pedestrians Injured
741
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency in Fairfield peaked on Wednesdays with 279 incidents and during the hour of 3 PM, which saw 160 crashes. Overall, the highest number of crashes occurred in November with 172 incidents, followed closely by October with 171 crashes. Most crashes occurred during daylight hours, accounting for 1141 incidents.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
In 2021, 6 crashes were fatal, accounting for 0.4% of all incidents, while 505 crashes (29.5%) resulted in some level of injury. The majority of crashes, 1203 incidents (70.2%), were reported as having no injury. A total of 7 individuals lost their lives in these crashes, demonstrating that a single fatal crash can involve multiple fatalities.
Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in Fairfield occurred under clear weather conditions (1060 incidents, 61.8%), on dry road surfaces (1309 incidents, 76.4%), and during daylight (1141 incidents, 66.6%). However, adverse conditions were also a factor, with 203 crashes (11.9%) occurring in rain and 335 crashes (19.5%) on wet roads. Additionally, 442 crashes (25.8%) occurred during dark conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Among all persons involved in crashes, the 26-34 age group was most represented with 656 individuals, followed by the 35-44 age group with 596 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 1641 vehicles. Chevrolet (511) and Ford (480) were the top two vehicle makes involved in crashes.
Top Vehicle Makes (3,214 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
235 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,048 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The vast majority of crashes, 1491 incidents, occurred on the roadway. However, 181 crashes, or 10.6% of the total, occurred off the travel lanes, specifically on the roadside (132), on the shoulder (41), or in the median (8). This indicates a notable proportion of run-off-road incidents.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (6 records): Railway grade crossing (2), Driveway/Alley access (2), On ramp (1), Crossover (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
Among vehicles involved in crashes, 1806 (56.2%) were at locations with no traffic control present, making it the dominant condition. Signalized locations accounted for 1203 vehicles (37.4%) involved in crashes. This suggests a higher proportion of crashes occur at uncontrolled intersections or road segments.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Contributing Factor
The leading contributing factor was 'Following too Close / ACDA' with 582 occurrences, representing 34.5% of specified factors. 'Failure to Yield' was the second most common factor with 279 occurrences (16.5%). 'Drove off Road' contributed to 149 incidents (8.8%), followed by 'Ran Red Light' with 98 occurrences (5.8%) and 'Improper Lane Change' with 91 occurrences (5.4%).
Driver Contributing Factor
Showing top 9 of 22 reported. 13 additional (165 total) not shown: Improper Backing, Unsafe Speed, Improper Passing, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Wrong Way, Improper Crossing, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Vision Obstruction, Lying in Roadway.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Vulnerable Road Users & Motorcycles
Crashes involving pedestrians and bicyclists combined totaled 9 incidents, representing 0.52% of all crashes. Additionally, 15 crashes involved motorcyclists. In total, 24 crashes involved vulnerable road users including pedestrians, bicyclists, and motorcyclists.
Animal-Involved Crashes
Animal-strike crashes accounted for 76 incidents, making up 4.4% of all crashes. Deer were involved in the majority of these incidents, with 69 reported deer strikes. Seven crashes involved other types of animals.
Impairment (Alcohol / Drugs)
A total of 90 crashes were identified as involving impaired driving, representing 5.25% of all crashes. Alcohol was a factor in 71 incidents, while drugs were involved in 12 incidents. Both alcohol and drugs were present in 7 crashes.
Driver Condition
Abnormal driver conditions were reported for 138 drivers, representing 4.59% of all drivers with a specified condition. The most frequent abnormal condition was 'Under the Influence of Medications / Drugs / Alcohol' with 82 instances. 'Fell Asleep; Fainted; Fatigued; etc.' was noted for 26 drivers.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Driver Distraction
Driver distraction was identified in 101 incidents, accounting for 3.43% of all drivers with a specified distraction status. The most common specific distractions were 'Other distraction inside the vehicle' (43 incidents) and 'Other distraction outside the vehicle' (25 incidents). Manually operating an electronic communication device was noted in 10 incidents.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Road Alignment
Approximately 6.65% of crashes (114 incidents) occurred on curves, while 16.88% of crashes (289 incidents) occurred on grades. The majority of crashes, 1349 incidents, took place on straight, level road alignments. These figures highlight the elevated risk associated with curved and graded road sections.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Pre-Crash Driver Action
The most frequent pre-crash action reported was 'Straight Ahead' with 1558 occurrences, accounting for 48.8% of specified actions. 'Slowing or Stopped In Traffic' was the second most common action, involved in 686 incidents (21.5%). 'Making Left Turn' was noted in 351 incidents (11.0%).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (105 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing, Driverless, Entering or Crossing Specified Location, Standing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The most common manner of collision was 'Rear-end' crashes, accounting for 567 incidents or 33.1% of all collisions. 'Angle' collisions were the second most frequent, with 467 incidents (27.2%). Additionally, 434 incidents (25.3%) were classified as 'Not Collision Between Two Vehicles in Transport', indicating single-vehicle crashes or collisions with objects/pedestrians.
Manner of Collision
"Other" combines 2 smaller categories (30 records): Sideswipe; opposite direction (28), Rear-to-rear (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars were the dominant vehicle type involved in crashes, accounting for 1641 vehicles or 53.0% of all specified vehicles. Sport utility vehicles (783) and pickup trucks (369) were also frequently involved. Commercial vehicles, including single unit trucks, semi-tractors, cargo vans, and buses, collectively represented 134 vehicles, or 4.33% of all specified vehicles.
Vehicle Type
"Other" combines 12 smaller categories (94 records): Semi-Tractor (36), Motorcycle 2 Wheeled (16), Van (9-15 Seats) (12), Other Vehicle (8), Pedestrian/Skater (7), Bus (16+ Passengers) (6), Heavy Equipment (3), Bicycle (2), Limo (Livery Vehicle) (1), Golf Cart (1), Moped or Motorized Bicycle (1), All Terrain Vehicle (ATV/UTV) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers constituted the largest group of persons involved in crashes, totaling 3049 individuals or 71.8% of all persons. Occupants (passengers) represented 1189 individuals (28.0%), while pedestrians accounted for 7 individuals (0.16%).
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Out of 4165 persons with known injury severity, 7 individuals (0.17%) sustained fatal injuries. A total of 748 individuals (17.96%) sustained injuries of serious, minor, or possible severity. The majority, 3410 individuals, were reported with no injuries.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Occupant Safety Equipment
The use of 'Shoulder and Lap Belt' was reported for 3536 participants. However, 'None Used' was indicated for 202 participants, representing 5.1% of those with specified safety equipment use. Child restraint systems were used by 198 participants across various types.
Occupant Safety Equipment
"Other" combines 2 smaller categories (17 records): Lap Belt Only Used (9), Shoulder Belt Only Used (8).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Vehicles Per Crash
The majority of crashes involved two vehicles, totaling 1254 incidents. Single-vehicle crashes accounted for 347 incidents, representing 20.25% of all crashes. One notable multi-vehicle incident involved 11 vehicles.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
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: 2021-01-01 through 2021-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Fairfield, OH
- Total crash records analyzed: 1,714
- Total persons involved: 4,245
- Total vehicles involved: 3,214
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: 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/fairfield/2021-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: 2021-01-01 – 2021-12-31
Generated: July 5, 2026 · All rights reserved