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Yearly Traffic Safety Analysis

34 CRASHES IN
ADA, OH
2021

In 2021, Ada experienced 34 total traffic crashes, resulting in 11 injuries and zero fatalities. A notable concentration of these incidents occurred on Wednesdays, which accounted for over a third of all crashes during the year.

34

Total Crash Events

0

Persons Killed

11

Persons Injured

8.8%

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

3

Hit-and-Run Crashes — 2021

In 2021, 3 crashes in Ada were classified as hit-and-run incidents, representing 8.8% of all collisions. This determination is based on the responding officer's initial report at the scene of the crash.

Vulnerable Road User Casualties

In 2021, all 11 traffic-related injuries in Ada were sustained by motorists. There were no fatalities recorded. Additionally, the data shows no reported injuries or fatalities involving pedestrians or cyclists during this period.

0

Motorists Killed

11

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 Ada showed a distinct weekly pattern, with Wednesday being the peak day, accounting for 12 of the 34 total incidents. The most frequent time for crashes was the 3 p.m. hour, which saw 4 collisions. Overall, 22 crashes (64.7%) occurred during daylight hours, while 12 took place in dark or low-light conditions.

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 34 crashes in Ada, 25 (73.5%) resulted in no injuries and were classified as property-damage-only events. The remaining 9 crashes (26.5%) involved injuries, with 7 classified as 'Possible Injury' and 2 as 'Minor Injury'. No fatal crashes were recorded in 2021.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes5.9%
Possible Injury7possible injury crashes20.6%
No Injury25no injury crashes73.5%

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 in ideal driving conditions. Data shows that 26 of the 34 crashes (76.5%) happened on dry road surfaces, and 21 (61.8%) took place in clear weather. Crashes in adverse weather included 5 during rain and 2 during snow.

Weather

Clear21 (61.8%)
Cloudy6 (17.6%)
Rain5 (14.7%)
Snow2 (5.9%)

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

Lighting

Daylight22 (64.7%)
Dark - Lighted Roadway8 (23.5%)
Dark - Roadway Not Lighted3 (8.8%)
Dark - Unknown Roadway Lighting1 (2.9%)

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

Road Surface

Dry26 (76.5%)
Wet6 (17.6%)
Snow2 (5.9%)

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

Vehicles & Demographics

Among the 72 individuals involved in crashes, the 21-25 age group was the most represented, accounting for 18 people. An analysis of the 60 vehicles involved shows that Ford was the most frequent make with 13 vehicles, followed by Chevrolet with 10 and Honda with 7.

Top Vehicle Makes (60 vehicles)

1
FORD13 (21.7%)
2
CHEVROLET10 (16.7%)
3
HONDA7 (11.7%)
4
DODGE5 (8.3%)
5
NISSAN3 (5%)
6
JEEP3 (5%)
7
ACURA2 (3.3%)
8
GMC2 (3.3%)
9
RAM2 (3.3%)
10
TOYOTA2 (3.3%)

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

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

Sex Distribution (69 persons with recorded sex)

Male43 (62.3%)
Female26 (37.7%)

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)

Analysis of crash locations shows that 24 of the 34 incidents (70.6%) had their first harmful event occur on the main roadway. A smaller number of crashes originated off the primary travel lanes, with 3 on the shoulder and 1 outside the trafficway, together representing 11.8% of all incidents.

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 the 60 vehicles involved in crashes, 44 were at locations with no traffic control devices present. Locations with traffic signals accounted for 7 vehicles involved in crashes, while intersections with stop signs were the site for 8 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

Among units where a contributing factor was cited, "Failure to Yield" and "Other Improper Action" were the most common, each attributed to 7 vehicles. "Improper Backing" was the next most frequent factor, cited for 5 vehicles, followed by "Drove off Road" for 3 vehicles.

Driver Contributing Factor

1
Failure to Yield7 (20.6%)
2
Other Improper Action7 (20.6%)
3
Improper Backing5 (14.7%)
4
Drove off Road3 (8.8%)
5
Following too Close / ACDA2 (5.9%)
6
Improper Turn2 (5.9%)
7
Ran Red Light2 (5.9%)
8
Unsafe Speed1 (2.9%)
9
Improper Passing1 (2.9%)

Showing top 9 of 13 reported. 4 additional (4 total) not shown: Improper Start From a Parked Position, Left of Center, Ran Stop Sign, Swerving to Avoid.

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

Driver Condition

Out of 51 drivers with condition data, nearly all were listed as "Apparently Normal." There was one documented instance of a driver's condition being a factor, with the driver reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal49 (96.1%)
2
Fell Asleep; Fainted; Fatigued; etc.1 (2%)
3
Other/Unknown1 (2%)

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 explicitly noted for 3 of the 51 drivers with available data. Of these, 2 drivers were distracted by something inside their vehicle, and 1 driver was reported to be talking on a hand-held communication device.

Driver Distraction

1
Not Distracted45 (88.2%)
2
Other/Unknown3 (5.9%)
3
Other distraction inside the vehicle2 (3.9%)
4
Talking on hand-held communication device1 (2%)

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 vast majority of crashes, 29 out of 34, occurred on straight and level sections of roadway. Road geometry was a less common factor, with 3 crashes (8.8%) occurring on a grade and 1 crash (2.9%) occurring on a curve.

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

An analysis of the actions of the 60 vehicles prior to collision shows that 28 (46.7%) were traveling straight ahead. Other common pre-crash actions included being parked (7 vehicles) and either backing or making a left turn (6 vehicles each).

Pre-Crash Driver Action

1
Straight Ahead28 (46.7%)
2
Parked7 (11.7%)
3
Backing6 (10%)
4
Making Left Turn6 (10%)
5
Making Right Turn4 (6.7%)
6
Slowing or Stopped In Traffic4 (6.7%)
7
Other/Unknown3 (5%)
8
Overtaking/Passing1 (1.7%)
9
Leaving Traffic Lane1 (1.7%)

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 type of crash was an angle collision, which accounted for 11 of the 34 incidents (32.4%). Single-vehicle crashes, categorized as "Not Collision Between Two Vehicles in Transport," were the second most frequent type, with 8 occurrences (23.5%).

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 most common vehicle type involved in crashes, accounting for 34 of the 60 vehicles (56.7%). Pick-up trucks were the next most frequent with 10 vehicles, while commercial trucks, including semi-tractors and single-unit trucks, were involved in 3 incidents.

Vehicle Type

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

Person Type

Of the 72 people involved in traffic incidents, the majority were drivers, accounting for 53 individuals (73.6%). The remaining 19 people (26.4%) were vehicle occupants or passengers. No pedestrians or cyclists were recorded in the crash data.

Person Type

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

Person Injury Severity

A total of 72 people were involved in crashes in Ada during this period. Of these, 11 individuals (15.3%) sustained injuries. No fatalities were recorded among any of the persons involved in these incidents.

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 the 72 people involved in crashes, 4 individuals were recorded as not using any safety equipment. In contrast, 48 people were documented as using a shoulder and lap belt, and an additional 6 children were secured in child restraint systems or booster seats.

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

Two-vehicle collisions were the most common scenario, comprising 24 of the 34 total crashes (70.6%). Single-vehicle crashes accounted for 9 incidents (26.5%), and there was one crash that involved three 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: August 22, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Ada, OH
  • Total crash records analyzed: 34
  • Total persons involved: 72
  • Total vehicles involved: 60

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). "Ada, OH Crash Intelligence Report: 2021." Published August 22, 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/ada/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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