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 · JACKSONVILLE, FLORIDA · 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/florida/fatal/jacksonville/2023-annual-report
Yearly Traffic Safety Analysis
151 CRASHES IN
JACKSONVILLE, FLORIDA
2023
In the current period, there were 151 fatal crashes and 163 fatalities, representing an increase from the prior period's 141 fatal crashes and 149 fatalities. This marks a 7.09% rise in fatal crashes and a 9.40% increase in fatalities year-over-year. The most notable shift was a 32.07% decrease in DUI-related fatal crashes, falling from 53 to 36.
151
▲ 7.1%was 141
Total Crash Events
163
▲ 9.4%was 149
Persons Killed
116
▲ 68.1%was 69
Persons Injured
15
▲ 50.0%was 10
Hit-and-Run Crashes
Note: "Persons Killed" (163) counts individual fatalities across all crash events. "Fatal" in the severity table below (151) 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
Overall, fatal crashes in Jacksonville increased by 7.09%, from 141 in the prior period to 151 in the current period. The number of fatalities also rose by 9.40%, from 149 to 163, indicating an upward trend in traffic fatalities.
15
Hit-and-Run Crashes — 2023
▲ 50.0% vs prior (10)
Hit-and-run fatal crashes increased from 10 in the prior period to 15 in the current period. This resulted in an increase in the hit-and-run rate from 7.1% to 9.9% year-over-year.
Vulnerable Road User Casualties
41
Pedestrians Killed
6
Cyclists Killed
115
Motorists Killed
1
Other Killed
4
Pedestrians Injured
0
Cyclists Injured
112
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 remained Sunday, with 34 fatal crashes in the current period compared to 33 in the prior period. The peak hour shifted from 9 p.m. in the prior period (20 fatal crashes) to 10 p.m. in the current period (12 fatal crashes), indicating a change in the timing of peak 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
Fatal crashes occurring in clear weather conditions remained constant at 109 for both periods, while cloudy conditions increased from 23 to 32 fatal crashes. In terms of lighting, fatal crashes in Dark - Lighted conditions decreased from 80 to 72, whereas those in Daylight conditions increased from 43 to 51, and Dark - Not Lighted conditions saw a rise from 8 to 20 fatal crashes.
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 top vehicle make involved in fatal crashes, increasing from 26 to 34 vehicles. The 26-34 age group saw a slight decrease from 70 to 67 persons involved in fatal crashes, while the 21-25 age group increased from 30 to 41 persons. Both males and females involved in fatal crashes increased, with males rising from 225 to 238 and females from 98 to 125.
Top Vehicle Makes (235 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
20 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (363 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
The 45 mph speed zone continued to have the highest number of fatal crashes, increasing from 44 to 51. Fatal crashes in the 40 mph zone increased from 16 to 26, while the 35 mph zone saw a decrease from 20 to 15. All fatal crashes occurred in zones with 100% fatality rates.
Fatal crashes by zone: 5 mph: 1 of 1 (100%) · 15 mph: 1 of 1 (100%) · 25 mph: 1 of 1 (100%) · 30 mph: 10 of 10 (100%) · 35 mph: 15 of 15 (100%) · 40 mph: 26 of 26 (100%) · 45 mph: 51 of 51 (100%) · 50 mph: 3 of 3 (100%) · 55 mph: 14 of 14 (100%) · 60 mph: 4 of 4 (100%) · 65 mph: 16 of 16 (100%) · 70 mph: 9 of 9 (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 was 'The First Harmful Event was Not a Collision with a Motor Vehicle in Transport,' which decreased from 92 fatal crashes in the prior period to 88 in the current period. Angle collisions increased from 21 to 28 fatal crashes, and Front-to-Rear collisions increased from 9 to 16 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 type involved in fatal crashes was the 4-door sedan, which increased from 52 in the prior period to 72 in the current period. Two-wheel motorcycles also saw an increase from 27 to 30, while Compact Utility vehicles increased from 31 to 34.
Vehicle Type
Showing top 9 of 22 reported. 13 additional (24 total) not shown: Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...), Three-wheel Motorcycle (2 Rear Wheels), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Transit Bus (City Bus), Convertible(excludes sun-roof,t-bar), Off-road Motorcycle, 5-door/4-door hatchback, Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), 3-door/2-door hatchback, Other or Unknown automobile type, Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.), Unenclosed Three Wheel Motorcycle / Unenclosed Autocycle (1 Rear Wheel).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
Rural vs Urban
The majority of fatal crashes occurred in urban areas, increasing from 138 in the prior period to 143 in the current period. Fatal crashes in rural areas doubled from 3 to 6, though they still represent a small proportion of the total.
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
Principal Arterials (Other Principal Arterial and Principal Arterial - Other) remained the leading functional class for fatal crashes, with a slight decrease from 40 to 38. Interstate fatal crashes increased from 31 to 34, and Major Collector fatal crashes more than doubled from 13 to 31.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Roadway Ownership
State Highway Agencies owned the roadways with the most fatal crashes, decreasing from 104 to 98. Fatal crashes on City or Municipal Highway Agency roads increased significantly from 24 to 37.
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 most common person type involved in fatal crashes, increasing from 207 to 234. The number of passengers involved increased from 70 to 91, and pedestrians increased from 43 to 45.
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 149 in the prior period to 163 in the current period. Persons with minor injuries (B) nearly doubled from 26 to 47.
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 participants using shoulder and lap belts in fatal crashes increased from 169 to 185. Concurrently, the number of participants reported with no safety equipment used or not applicable also increased from 100 to 122.
Occupant Safety Equipment
"Other" combines 3 smaller categories (3 records): Child Restraint System - Forward Facing (1), Child Restraint System - Rear Facing (1), Child Restraint Type Unknown (1).
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 137 in the prior period to 153 in the current period. The '6 Clock Point' (rear impact) also increased from 14 to 22.
Point of Impact
"Other" combines 11 smaller categories (22 records): 2 Clock Point (3), 7 Clock Point (3), 8 Clock Point (3), 5 Clock Point (3), 10 Clock Point (2), 9 Clock Point (2), Reported as Unknown (2), Top (1), Right (1), Right-Back Side (1), Left-Front Side (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 slightly decreased from 79 in the prior period to 78 in the current period. Two-vehicle fatal crashes increased from 46 to 59, while three-vehicle fatal crashes decreased from 14 to 12.
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: Jacksonville, Florida
- Total crash records analyzed: 151
- Total persons involved: 381
- Total vehicles involved: 235
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). "Jacksonville, Florida 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/florida/fatal/jacksonville/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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