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CRASH INTELLIGENCE REPORT · CELINA, 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/celina/2021-annual-report
Yearly Traffic Safety Analysis
198 CRASHES IN
CELINA, OH
2021
In 2021, Celina experienced a total of 198 crashes, resulting in 1 fatality and 58 injuries. The most frequent manner of collision was 'Angle' crashes, accounting for 65 incidents or 32.8% of all crashes. A substantial majority of crashes, 76.8%, resulted in no injuries.
198
Total Crash Events
1
Persons Killed
58
Persons Injured
4.0%
Hit-and-Run Rate
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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
8
Hit-and-Run Crashes — 2021
There were 8 hit-and-run crashes reported in Celina in 2021, representing 4% of all crashes. This classification is based on the initial determination by the responding officer at the scene.
Vulnerable Road User Casualties
In 2021, 1 motorist was killed and 55 motorists were injured in crashes. There were no fatalities among pedestrians or cyclists. However, 3 pedestrians sustained injuries in crashes.
0
Pedestrians Killed
1
Motorists Killed
3
Pedestrians Injured
55
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
Crashes in Celina peaked on Tuesdays, with 35 incidents, and the highest hourly concentration occurred at 2 PM, with 22 crashes. The single fatality recorded for the year occurred in November. The majority of crashes, 147, happened during daylight hours, compared to 40 crashes that occurred in dark conditions (lighted or unlighted roadways).
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
Of the 198 crashes, 152 (76.8%) resulted in no injuries, while 45 crashes (22.7%) involved some level of injury. There was 1 fatal crash, accounting for 0.5% of the total. It is important to note that the 1 fatal crash resulted in 1 fatality, as one crash can involve multiple fatalities.
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 occurred under favorable environmental conditions, with 136 crashes happening in clear weather, 158 on dry road surfaces, and 147 during daylight. Adverse conditions such as rain contributed to 17 crashes, snow to 6 crashes, and dark conditions (lighted or unlighted) to 39 crashes.
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
The most represented age groups among persons involved in crashes were 16-20 years old (77 persons), 26-34 years old (74 persons), and 65+ years old (71 persons). Chevrolet vehicles were involved in the highest number of incidents (71), followed by Ford (60) and Honda (38) vehicles.
Top Vehicle Makes (384 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
7 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (467 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, 185, occurred on the roadway itself. A smaller proportion of crashes, 11 (5.5%), occurred off the main travel lanes, specifically on the roadside (6), on the shoulder (4), or in the median (1).
Crash Location (First Harmful Event)
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, 215 were at locations with no traffic control present, making it the dominant control type. Signalized locations accounted for 99 vehicles involved in crashes, while stop signs were present for 64 vehicles.
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 most frequent contributing factor among drivers was 'Following too Close / ACDA,' accounting for 64 incidents (18.0% of drivers). 'Failure to Yield' was the second most common factor with 32 incidents (9.0%), followed by 'Improper Backing' with 18 incidents (5.1%).
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (15 total) not shown: Not Discernible, Operating Defective Equipment, Improper Lane Change, Vision Obstruction, Improper Crossing, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Swerving to Avoid.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 11 commercial vehicles were involved in crashes, with 6 being semi-tractor trailers and 5 being other commercial vehicles. These vehicles were involved in approximately 5.6% of all crashes in Celina during 2021.
Impairment (Alcohol / Drugs)
There were 14 incidents of impaired driving recorded, accounting for 7.1% of all crashes. Alcohol was the sole impairment in 10 incidents, while 2 incidents involved both alcohol and drugs, and 2 incidents involved drugs only.
Driver Condition
Among drivers involved in crashes, 20 were noted to be in an abnormal condition. This included 7 drivers who were physically impaired, 7 drivers under the influence of medications, drugs, or alcohol, 3 drivers experiencing emotional distress, and 3 drivers who fell asleep, fainted, or were fatigued.
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
A total of 19 drivers were identified as distracted at the time of their crashes. The most common specific distractions included 'Other distraction inside the vehicle' (10 incidents) and 'Other distraction outside the vehicle' (7 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
Most crashes, 189, occurred on straight, level road alignments. Crashes on curved sections of road accounted for 6 incidents (3.0%), while crashes on graded sections (uphill or downhill) accounted for 4 incidents (2.0%).
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 common pre-crash action for persons involved was 'Straight Ahead,' accounting for 201 incidents (43.0%). This was followed by 'Slowing or Stopped In Traffic' with 66 incidents (14.1%) and 'Making Left Turn' with 30 incidents (6.4%).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (8 total) not shown: Walking; Running; Jogging; Playing, Negotiating a Curve, Other/Unknown, Making U-Turn, Leaving Traffic Lane, Entering or Crossing Specified Location.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The dominant manner of collision was 'Angle' crashes, which accounted for 65 incidents or 32.8% of all crashes. 'Rear-end' collisions were the second most frequent, with 63 incidents (31.8%), followed by crashes 'Not Collision Between Two Vehicles in Transport' at 46 incidents (23.2%).
Manner of Collision
"Other" combines 2 smaller categories (2 records): Other/Unknown (1), Sideswipe; opposite direction (1).
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 most frequently involved vehicle type, accounting for 149 vehicles. Sport Utility Vehicles (98) and Pickups (76) were also highly represented. Heavy/commercial trucks, including Semi-Tractors (6) and Single Unit Trucks (4), comprised 10 vehicles.
Vehicle Type
"Other" combines 8 smaller categories (16 records): Other Vehicle (3), Pedestrian/Skater (3), Van (9-15 Seats) (2), Cargo Van (2), Moped or Motorized Bicycle (2), Bicycle (2), Farm Equipment (1), Heavy Equipment (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, with 355 individuals (75.9%). Occupants accounted for 110 persons (23.5%), while pedestrians made up 3 persons (0.6%) of all individuals involved.
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 468 persons involved in crashes, 1 individual sustained a fatal injury (0.2%). A total of 58 persons (12.4%) suffered some form of injury, categorized as serious (3), minor (29), or possible (26).
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
Among persons for whom safety equipment use was recorded, 402 individuals used both shoulder and lap belts. A notable 16 individuals were recorded as using no safety equipment at all, representing 3.4% of all persons.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Shoulder Belt Only Used (3), Helmet Used (2).
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, 170, involved two vehicles. Single-vehicle crashes accounted for 21 incidents, representing 10.6% of all crashes. There was one incident involving 5 vehicles, indicating a multi-vehicle pile-up.
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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Celina, OH
- Total crash records analyzed: 198
- Total persons involved: 468
- Total vehicles involved: 384
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). "Celina, OH Crash Intelligence Report: 2021." Published July 6, 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/celina/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 6, 2026 · All rights reserved