Fatal Crashes Only

This report covers fatal crashes only, from the NHTSA Fatality Analysis Reporting System — the federal census of every crash on a US public road that killed someone within 30 days. It does not include injury or property-damage-only crashes, and its totals are not comparable with the all-severity crash reports published elsewhere on this site.

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Yearly Traffic Safety Analysis

89 CRASHES IN
COLUMBUS, OHIO
2023

All metrics benchmarked against2022

In the current period (2023), there were 89 fatal crashes, a slight increase from 88 fatal crashes in the prior period (2022). This represents a 1.14% rise in fatal crashes. The most notable year-over-year shift was a 66.67% increase in fatal motorcycle crashes, rising from 12 in the prior period to 20 in the current period.

89

1.1%was 88

Total Crash Events

98

5.4%was 93

Persons Killed

84

35.5%was 62

Persons Injured

15

66.7%was 9

Hit-and-Run Crashes

Note: "Persons Killed" (98) counts individual fatalities across all crash events. "Fatal" in the severity table below (89) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Fatal crashes increased by 1.14%, from 88 in the prior period to 89 in the current period. Fatalities also rose by 5.38%, climbing from 93 to 98. Additionally, the number of injured persons in fatal crashes saw a significant increase of 35.48%, from 62 to 84.

15

Hit-and-Run Crashes — 2023

66.7% vs prior (9)

Hit-and-run fatal crashes increased significantly by 66.67%, rising from 9 in the prior period to 15 in the current period. The rate of hit-and-run fatal crashes also increased from 10.2% in the prior period to 16.9% in the current period.

Vulnerable Road User Casualties

24

Pedestrians Killed

Prior: 26-7.7%

3

Cyclists Killed

Prior: 1200.0%

69

Motorists Killed

Prior: 656.2%

2

Other Killed

Prior: 1100.0%

3

Pedestrians Injured

Prior: 1200.0%

0

Cyclists Injured

Prior: 00.0%

81

Motorists Injured

Prior: 6132.8%

0

Other Injured

Prior: 00.0%

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for fatal crashes remained Friday in both periods, with 16 fatal crashes each. However, the peak hour for fatal crashes shifted from 2 AM in the prior period (8 fatal crashes) to 10 PM in the current period (10 fatal crashes), indicating a change in the timing of peak fatal crash activity.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Road & Environmental Conditions

In the current period, 59 fatal crashes occurred in clear weather, a slight decrease from 61 in the prior period. Fatal crashes in rainy conditions increased from 9 in the prior period to 16 in the current period, while those in cloudy conditions decreased from 18 to 13. For lighting, fatal crashes during daylight increased from 28 to 38, while those in dark-not-lighted conditions decreased from 19 to 12.

Weather

Clear59 (66.3%)
-3.3%prior 61
Rain16 (18.0%)
77.8%prior 9
Cloudy13 (14.6%)
-27.8%prior 18
Reported as Unknown1 (1.1%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight38 (42.7%)
35.7%prior 28
Dark - Lighted33 (37.1%)
-13.2%prior 38
Dark - Not Lighted12 (13.5%)
-36.8%prior 19
Dusk3 (3.4%)
Dawn1 (1.1%)
Dark - Unknown Lighting1 (1.1%)
Reported as Unknown1 (1.1%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Lighting condition field

Vehicles & Demographics

The total number of vehicles involved in fatal crashes increased by 22.14%, from 131 in the prior period to 160 in the current period. Honda became the most frequently involved make in current fatal crashes with 23 vehicles, up from 15, surpassing Chevrolet (20) and Ford (13), which were both at 17 in the prior period.

Top Vehicle Makes (160 vehicles)

1
HONDA23 (14.4%)
53.3%prior 15
2
CHEVROLET20 (12.5%)
17.6%prior 17
3
FORD13 (8.1%)
-23.5%prior 17
4
KIA11 (6.9%)
5
TOYOTA11 (6.9%)
-8.3%prior 12
6
UNKNOWN MAKE10 (6.3%)
66.7%prior 6
7
HYUNDAI8 (5%)
14.3%prior 7
8
NISSAN/DATSUN7 (4.4%)
40.0%prior 5
9
HARLEY-DAVIDSON5 (3.1%)
10
GMC4 (2.5%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (260 persons with recorded sex)

Male163 (62.7%)
25.4%prior 130
Female97 (37.3%)
22.8%prior 79

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

The most frequent speed zone for fatal crashes remained 35 mph in both periods, with 27 fatal crashes each. Fatal crashes in 45 mph zones increased from 14 in the prior period to 15 in the current period, and in 65 mph zones, they increased from 10 to 14. Conversely, fatal crashes in 25 mph zones decreased from 11 to 8.

Fatal crashes by zone: 25 mph: 8 of 8 (100%) · 30 mph: 1 of 1 (100%) · 35 mph: 27 of 27 (100%) · 40 mph: 5 of 5 (100%) · 45 mph: 15 of 15 (100%) · 50 mph: 2 of 2 (100%) · 55 mph: 1 of 1 (100%) · 65 mph: 14 of 14 (100%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Posted speed limit at crash location

Manner of Collision

The dominant manner of collision in the current period was 'The First Harmful Event was Not a Collision with a Motor Vehicle in Transport' with 40 fatal crashes, a decrease from 56 in the prior period. Angle collisions increased from 22 in the prior period to 27 in the current period, while Front-to-Front collisions doubled from 5 to 10.

Manner of Collision

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Vehicle Type

The most common vehicle body type in fatal crashes remained '4-door sedan, hardtop', increasing from 45 in the prior period to 52 in the current period. Two Wheel Motorcycles involved in fatal crashes saw a notable increase from 12 to 19. The number of large trucks (truck-tractors and single-unit straight trucks) involved in fatal crashes increased from 4 in the prior period to 7 in the current period.

Vehicle Type

1
4-door sedan, hardtop52 (32.5%)
2
Compact Utility (Utility Vehicle Categories "Small" and "Midsize")25 (15.6%)
3
Two Wheel Motorcycle (excluding motor scooters)19 (11.9%)
4
Light Pickup12 (7.5%)
5
Unknown body type9 (5.6%)
6
Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large")8 (5%)
7
Station Wagon (excluding van and truck based)7 (4.4%)
8
5-door/4-door hatchback5 (3.1%)
9
Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...)4 (2.5%)

Showing top 9 of 21 reported. 12 additional (19 total) not shown: Truck-tractor (Cab only, or with any number of trailing unit; any weight), 2-door sedan,hardtop,coupe, 3-door/2-door hatchback, Motor Scooter, Off-road Motorcycle, Single-unit straight truck or Cab-Chassis (GVWR range 10,001 to 19,500 lbs.), Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.), Transit Bus (City Bus), Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), Medium/heavy Pickup (GVWR greater than 10,000 lbs.), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Van-Based Bus GVWR greater than 10,000 lbs..

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

Rural vs Urban

In the current period, 88 fatal crashes occurred on urban trafficways, while 1 fatal crash occurred on a rural trafficway. This indicates that the vast majority of fatal crashes in this jurisdiction occurred in urban areas, with rural roads accounting for a small portion.

Rural vs Urban

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Roadway Functional Class

Minor Arterial roads saw an increase in fatal crashes from 23 in the prior period to 29 in the current period, becoming the most frequent functional class. Fatal crashes on Interstate roads increased from 12 to 14, and on Local roads from 6 to 8. Other Principal Arterial roads (categorized as 'Principal Arterial - Other' in the prior period) decreased from 33 to 27 fatal crashes.

Roadway Functional Class

1
Minor Arterial29 (32.6%)
2
Other Principal Arterial27 (30.3%)
3
Interstate14 (15.7%)
4
Major Collector9 (10.1%)
5
Local8 (9%)
6
Other Freeways and Expressways2 (2.2%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Roadway Ownership

State Highway Agencies continued to oversee the most fatal crashes, increasing slightly from 36 in the prior period to 37 in the current period. Fatal crashes on roadways owned by City or Municipal Highway Agencies increased from 25 to 26, while those on County Highway Agency roads remained stable at 25 fatal crashes each period.

Roadway Ownership

1
State Highway Agency37 (41.6%)
2
City or Municipal Highway Agency26 (29.2%)
3
County Highway Agency25 (28.1%)
4
State Toll Road1 (1.1%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Person Type

The number of drivers involved in fatal crashes increased from 131 in the prior period to 158 in the current period. Passengers involved in fatal crashes also increased from 56 to 80. The number of pedestrians involved remained stable at 27, while bicyclists involved in fatal crashes increased from 1 to 3.

Person Type

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Person Injury Severity

The number of persons sustaining fatal injuries (K) increased from 93 in the prior period to 98 in the current period. Persons with serious injuries (A) saw a notable increase from 24 to 40, and minor injuries (B) rose from 13 to 21. Possible injuries (C) remained constant at 17 persons.

Person Injury Severity

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Occupant Safety Equipment

The number of persons reported as using shoulder and lap belts increased from 85 in the prior period to 106 in the current period. Concurrently, the number of persons reported as using no safety equipment or for whom it was not applicable increased from 50 to 52.

Occupant Safety Equipment

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Point of Impact

The dominant point of impact, the 12 Clock Point (front center), increased from 64 occurrences in the prior period to 81 in the current period. The 11 Clock Point remained stable at 16 occurrences, while the 1 Clock Point decreased from 12 to 10 occurrences.

Point of Impact

"Other" combines 8 smaller categories (18 records): 4 Clock Point (3), Other Objects or Person Set-In-Motion (3), Undercarriage (3), Non-Collision (2), 2 Clock Point (2), 9 Clock Point (2), 5 Clock Point (2), 7 Clock Point (1).

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

Vehicles Per Crash

Single-vehicle fatal crashes decreased from 50 in the prior period to 33 in the current period. Conversely, two-vehicle fatal crashes increased from 32 to 44, and fatal crashes involving three vehicles increased significantly from 3 to 10.

Vehicles Per Crash

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from NHTSA FARS (Fatal Crashes), accessed programmatically via the NHTSA FARS 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: NHTSA FARS 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: 2023-01-01 through 2023-12-31
  • Report generated: August 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Columbus, Ohio
  • Total crash records analyzed: 89
  • Total persons involved: 270
  • Total vehicles involved: 160

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). "Columbus, Ohio Crash Intelligence Report: 2023." Published August 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/fatal/columbus/2023-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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