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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YEAR-OVER-YEAR CRASH REPORT · OKLAHOMA CITY, OKLAHOMA · 2023
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/oklahoma/fatal/oklahoma-city/2023-annual-report
Yearly Traffic Safety Analysis
93 CRASHES IN
OKLAHOMA CITY, OKLAHOMA
2023
In 2023, Oklahoma City experienced 93 fatal crashes, an 8.14% increase from the 86 fatal crashes recorded in 2022. Total fatalities also rose by 12.5%, from 88 in 2022 to 99 in 2023. A notable shift was the 33.33% increase in fatal crashes involving driving under the influence (DUI).
93
▲ 8.1%was 86
Total Crash Events
99
▲ 12.5%was 88
Persons Killed
59
▲ 20.4%was 49
Persons Injured
14
▲ 7.7%was 13
Hit-and-Run Crashes
Note: "Persons Killed" (99) counts individual fatalities across all crash events. "Fatal" in the severity table below (93) 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
The overall trend indicates a rise in fatal crash activity year-over-year. Fatal crashes increased by 8.14%, from 86 in 2022 to 93 in 2023. Concurrently, total fatalities saw a 12.5% increase, rising from 88 to 99 during the same period.
14
Hit-and-Run Crashes — 2023
▲ 7.7% vs prior (13)
The number of hit-and-run fatal crashes increased from 13 in 2022 to 14 in 2023. Despite this increase in raw count, the hit-and-run rate remained stable at 15.1% of all fatal crashes in both periods.
Vulnerable Road User Casualties
26
Pedestrians Killed
2
Cyclists Killed
70
Motorists Killed
1
Other Killed
0
Pedestrians Injured
0
Cyclists Injured
59
Motorists Injured
0
Other Injured
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 shifted from Friday with 15 fatal crashes in 2022 to Sunday with 20 fatal crashes in 2023. The peak hour for fatal crashes remained 9 PM in both periods, although the count decreased from 10 fatal crashes in 2022 to 8 in 2023.
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
Fatal crashes occurring in cloudy weather increased from 32 in 2022 to 40 in 2023, while those in clear conditions decreased from 48 to 44. Fatal crashes in dark, unlighted conditions increased from 27 to 32, whereas daylight fatal crashes decreased from 35 to 32. Rain-related fatal crashes remained stable at 6 for both periods.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Lighting condition field
Vehicles & Demographics
Chevrolet remained the most frequently involved vehicle make in fatal crashes, increasing from 20 in 2022 to 22 in 2023. Ford maintained its second position, with its involvement slightly decreasing from 19 to 18 vehicles. Nissan/Datsun entered the top three with 10 vehicles in 2023, replacing Toyota, which saw a decrease from 11 to 8 vehicles.
Top Vehicle Makes (144 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
10 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (210 persons with recorded sex)
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
Fatal crashes in 40 mph zones decreased from 27 in 2022 to 25 in 2023, and 45 mph zones saw a slight increase from 17 to 18 fatal crashes. Notably, fatal crashes in 60 mph zones increased significantly from 16 in 2022 to 25 in 2023, indicating a shift towards higher speed roadways.
Fatal crashes by zone: 25 mph: 5 of 5 (100%) · 30 mph: 2 of 2 (100%) · 35 mph: 4 of 4 (100%) · 40 mph: 25 of 25 (100%) · 45 mph: 18 of 18 (100%) · 50 mph: 2 of 2 (100%) · 55 mph: 3 of 3 (100%) · 60 mph: 25 of 25 (100%) · 65 mph: 3 of 3 (100%) · 70 mph: 4 of 4 (100%) · 75 mph: 1 of 1 (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 both periods was "The First Harmful Event was Not a Collision with a Motor Vehicle in Transport," increasing from 52 fatal crashes in 2022 to 60 in 2023. Angle collisions decreased from 17 fatal crashes in 2022 to 16 in 2023. Front-to-front collisions increased from 6 to 9 fatal crashes.
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 types involved in fatal crashes were 4-door sedans, increasing from 29 to 30, and Light Pickups, which remained stable at 28. Fatal crashes involving two-wheel motorcycles decreased from 18 in 2022 to 14 in 2023. Conversely, fatal crashes involving truck-tractors (large trucks) increased from 7 to 9.
Vehicle Type
Showing top 9 of 19 reported. 10 additional (17 total) not shown: Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...), Unknown light vehicle type (automobile,utility vehicle, van, or light truck), 3-door/2-door hatchback, Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), 5-door/4-door hatchback, Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), Medium/heavy Pickup (GVWR greater than 10,000 lbs.), Step van (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
Urban areas accounted for the vast majority of fatal crashes in both periods, increasing from 82 in 2022 to 88 in 2023. Rural fatal crashes remained stable at 4 in both years. This indicates that fatal crashes are predominantly an urban issue for this jurisdiction.
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
Interstate roadways experienced a significant increase in fatal crashes, rising from 20 in 2022 to 30 in 2023, making it the most frequent functional class for fatal incidents. Fatal crashes on Minor Arterial roads also increased from 18 to 22. Conversely, Local roads saw a decrease in fatal crashes from 12 to 9.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Roadway Ownership
City or Municipal Highway Agencies continued to own the roadways with the most fatal crashes, with counts increasing slightly from 51 in 2022 to 52 in 2023. Fatal crashes on State Highway Agency roads also saw an increase, rising from 34 to 38. This highlights that both municipal and state-owned roads are key areas for fatal crash incidents.
Roadway Ownership
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Person Type
Drivers remained the dominant person type involved in fatal crashes, with their count increasing slightly from 140 in 2022 to 141 in 2023. Passenger involvement saw a notable increase from 37 to 48. Pedestrian involvement decreased from 28 to 26, while bicyclist involvement dropped significantly from 6 to 2.
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 88 in 2022 to 99 in 2023. Minor injuries (B) saw a substantial increase from 10 to 18, while serious injuries (A) decreased slightly from 14 to 13. The number of uninjured persons (O) decreased from 77 to 60.
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 decreased from 104 in 2022 to 95 in 2023. Conversely, the number of persons reported as using "None Used/Not Applicable" safety equipment increased significantly from 46 to 63. This indicates a concerning trend in safety equipment non-use among those involved in fatal crashes.
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 12 Clock Point (front impact) remained the most common point of impact, increasing from 76 in 2022 to 79 in 2023. The 6 Clock Point (rear impact) decreased from 11 to 9. Impacts at the 1 Clock Point saw a notable increase from 5 to 12.
Point of Impact
"Other" combines 7 smaller categories (16 records): 5 Clock Point (3), 9 Clock Point (3), Reported as Unknown (3), 2 Clock Point (2), 4 Clock Point (2), 3 Clock Point (2), Undercarriage (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 increased from 46 in 2022 to 56 in 2023. Two-vehicle fatal crashes decreased from 31 to 26. In the current period, there was one fatal crash involving 7 vehicles, compared to one fatal crash involving 5 vehicles and one involving 4 vehicles in the prior period.
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: Oklahoma City, Oklahoma
- Total crash records analyzed: 93
- Total persons involved: 218
- Total vehicles involved: 144
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). "Oklahoma City, Oklahoma 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/oklahoma/fatal/oklahoma-city/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: NHTSA FARS (Fatal Crashes) · NHTSA FARS
Period: 2023-01-01 – 2023-12-31
Generated: August 5, 2026 · All rights reserved
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