Yearly Traffic Safety Analysis

73 CRASHES IN
DELPHOS, OH
2021

In 2021, Delphos, Ohio, experienced a total of 73 crashes, resulting in 0 fatalities and 12 injuries. The majority of these incidents, 63 crashes (86.3%), involved no reported injuries. There were 12 crashes (16.4%) classified as hit-and-run incidents during this period.

73

Total Crash Events

0

Persons Killed

12

Persons Injured

16.4%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

12

Hit-and-Run Crashes — 2021

Delphos recorded 12 hit-and-run crashes in 2021, accounting for 16.4% of all reported incidents. Hit-and-run status is determined by the responding officer's initial assessment at the scene.

Vulnerable Road User Casualties

In 2021, 10 motorists and 2 pedestrians sustained injuries in crashes in Delphos. There were no reported fatalities for pedestrians, cyclists, or motorists. Cyclists recorded 0 injuries during this period.

0

Pedestrians Killed

0

Motorists Killed

2

Pedestrians Injured

10

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 Delphos most frequently occurred on Wednesdays and Fridays, with 14 incidents each. The peak hour for crashes was 4 PM, recording 8 incidents. A significant majority of crashes, 48 out of 73 (65.8%), happened during daytime hours between 6 AM and 6 PM.

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 73 crashes, 63 (86.3%) resulted in no injuries, categorized as property-damage-only incidents. There were 10 crashes that involved injuries: 2 serious injury crashes (2.7%), 3 minor injury crashes (4.1%), and 5 possible injury crashes (6.8%). No fatal crashes were reported, and 0 fatalities occurred, noting that fatalities represent persons killed and a single crash can involve multiple fatalities.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes2.7%
Minor Injury3minor injury crashes4.1%
Possible Injury5possible injury crashes6.8%
No Injury63no injury crashes86.3%

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 Delphos occurred under clear weather conditions (52 crashes), on dry road surfaces (58 crashes), and during daylight hours (51 crashes). Adverse conditions such as rain contributed to 5 crashes, snow to 3 crashes, and wet road surfaces were present in 8 crashes. Additionally, 17 crashes occurred during dark conditions.

Weather

Clear52 (71.2%)
Cloudy10 (13.7%)
Rain5 (6.8%)
Other/Unknown3 (4.1%)
Snow3 (4.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight51 (69.9%)
Dark - Lighted Roadway12 (16.4%)
Dark - Roadway Not Lighted4 (5.5%)
Dawn/Dusk3 (4.1%)
Other/Unknown2 (2.7%)
Dark - Unknown Roadway Lighting1 (1.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry58 (79.5%)
Wet8 (11.0%)
Ice2 (2.7%)
Other/Unknown2 (2.7%)
Snow2 (2.7%)
Sand; Mud; Dirt; Oil; Gravel1 (1.4%)

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 group among persons involved in crashes was 65+ with 28 individuals, followed by 26-34 with 21 individuals. Passenger cars were the most common vehicle type involved, accounting for 68 vehicles, followed by Sport Utility Vehicles (21) and Pick up trucks (15). Chevrolet vehicles were involved most frequently (24), followed by Ford (19) and Chrysler (10).

Top Vehicle Makes (127 vehicles)

1
CHEVROLET24 (18.9%)
2
FORD19 (15%)
3
CHRYSLER10 (7.9%)
4
DODGE7 (5.5%)
5
PONTIAC5 (3.9%)
6
GM5 (3.9%)
7
KIA5 (3.9%)
8
GMC4 (3.1%)
9
HONDA4 (3.1%)
10
TOYOTA4 (3.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

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

Sex Distribution (137 persons with recorded sex)

Female69 (50.4%)
Male68 (49.6%)

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)

Most crashes, 61 out of 73, occurred on the roadway. A total of 7 crashes (9.6%) occurred off the travel lanes, including 3 on the shoulder, 2 on the roadside, and 2 outside the trafficway. Additionally, 3 crashes occurred at railway grade crossings and 2 at driveway/alley access points.

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 locations with reported traffic control, 'No Control' was the dominant type, accounting for 66 mentions. Signalized locations (Signal and Flasher) comprised 35 mentions, while uncontrolled locations (No Control) accounted for 66 mentions. Stop signs were present at 25 locations where crashes occurred.

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 factors reported were 'Failure to Yield' (17 mentions), 'Improper Backing' (11 mentions), and 'Other Improper Action' (7 mentions). 'Drove off Road', 'Following too Close / ACDA', and 'Improper Turn' each contributed 6 mentions to crashes. These factors represent per-driver improper actions.

Driver Contributing Factor

1
Failure to Yield17 (25%)
2
Improper Backing11 (16.2%)
3
Other Improper Action7 (10.3%)
4
Drove off Road6 (8.8%)
5
Following too Close / ACDA6 (8.8%)
6
Improper Turn6 (8.8%)
7
Left of Center3 (4.4%)
8
Ran Stop Sign3 (4.4%)
9
Vision Obstruction2 (2.9%)

Showing top 9 of 14 reported. 5 additional (7 total) not shown: Swerving to Avoid, Unsafe Speed, Improper Crossing, Stopped or Parked Illegally, Improper Lane Change.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Driver Condition

Among drivers, 4 individuals were reported as being 'Under the Influence of Medications / Drugs / Alcohol' at the time of the crash. This represents 3.5% of the 115 drivers for whom condition data was recorded.

Driver Condition

1
Apparently Normal97 (91.5%)
2
Other/Unknown5 (4.7%)
3
Under the Influence of Medications / Drugs / Alcohol4 (3.8%)

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

Reported driver distractions included 'Other distraction outside the vehicle' (3 instances), 'Other distraction inside the vehicle' (2 instances), and 'Passenger' (1 instance). Additionally, 1 instance of 'Talking on hand-held communication device' was noted. In total, 7 instances of specific driver distractions were reported among 115 drivers.

Driver Distraction

1
Not Distracted87 (83.7%)
2
Other/Unknown10 (9.6%)
3
Other distraction outside the vehicle3 (2.9%)
4
Other distraction inside the vehicle2 (1.9%)
5
Passenger1 (1%)
6
Talking on hand-held communication device1 (1%)

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

The majority of crashes, 69 out of 73, occurred on 'Straight Level' roadways. A total of 4 crashes (5.5%) occurred on alignments that elevate crash risk, with 3 on 'Straight Grade' and 1 on 'Curve Level' 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 common pre-crash actions by drivers were 'Straight Ahead' (63 instances), 'Slowing or Stopped In Traffic' (17 instances), and 'Backing' (13 instances). These three actions collectively accounted for 93 of the 127 reported pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead63 (49.6%)
2
Slowing or Stopped In Traffic17 (13.4%)
3
Backing13 (10.2%)
4
Parked8 (6.3%)
5
Making Left Turn8 (6.3%)
6
Making Right Turn4 (3.1%)
7
Leaving Traffic Lane4 (3.1%)
8
Entering Traffic Lane3 (2.4%)
9
Driverless3 (2.4%)

Showing top 9 of 11 reported. 2 additional (4 total) not shown: Other/Unknown, Walking; Running; Jogging; Playing.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Manner of Collision

The most frequent manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 25 crashes (34.2%). 'Angle' collisions were the second most common with 16 crashes (21.9%), followed by 'Rear-end' collisions with 11 crashes (15.1%).

Manner of Collision

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 68 vehicles. Sport Utility Vehicles (21) and Pick up trucks (15) were also frequently involved. There were 6 commercial vehicles involved, including 4 Semi-Tractors and 1 Cargo Van, and 1 Bus.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Other Vehicle (1), Cargo Van (1), Bus (16+ Passengers) (1), Golf Cart (1), Moped or Motorized Bicycle (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 115 individuals. Occupants accounted for 26 persons, while 2 pedestrians were also involved in crashes.

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 141 persons for whom injury severity was recorded, 129 sustained no injuries. A total of 12 persons (8.5%) sustained injuries, comprising 2 serious injuries, 3 minor injuries, and 7 possible injuries. No fatalities were recorded among persons.

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 participants with recorded safety equipment use, 108 individuals used 'Shoulder and Lap Belt'. Notably, 9 persons were reported as using 'None Used', representing 6.4% of those with known safety equipment status. Two persons used 'Lap Belt Only' and 3 used Child Restraint Systems.

Occupant Safety Equipment

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, 52 out of 73, involved 2 vehicles. Single-vehicle crashes accounted for 20 incidents (27.4% of all crashes). One crash involved 3 vehicles, indicating a minor presence of multi-vehicle pile-ups.

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: Delphos, OH
  • Total crash records analyzed: 73
  • Total persons involved: 143
  • Total vehicles involved: 127

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). "Delphos, 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/delphos/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

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Delphos, OH Crash Report — 2021 | ThatCarHitMe.com