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.
If someone you love is part of this data, call us.
We'll connect you with a vetted Arizona attorney who handles fatal-crash and wrongful death cases and will evaluate whether you have a case.
ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ARIZONA · SEPTEMBER 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/arizona/fatal/statewide/september-2023-report
Monthly Traffic Safety Analysis
95 CRASHES IN
ARIZONA
SEPTEMBER 2023
In September 2023, Arizona recorded 95 fatal crashes, an increase from 88 fatal crashes in September 2022. This represents a 7.95% rise in fatal crash events year-over-year. The most significant shift was a 52.46% increase in total injuries, from 61 in the prior period to 93 in the current period.
95
▲ 8.0%was 88
Total Crash Events
108
▲ 13.7%was 95
Persons Killed
93
▲ 52.5%was 61
Persons Injured
10
▼ -9.1%was 11
Hit-and-Run Crashes
Note: "Persons Killed" (108) counts individual fatalities across all crash events. "Fatal" in the severity table below (95) 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 · 2023-09-01 to 2023-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Fatal crash data for September 2023 indicates an upward trend in crash severity compared to the prior year. The number of fatal crashes increased by 7.95%, rising from 88 to 95. Concurrently, total fatalities rose by 13.68%, from 95 to 108, and total injuries saw a substantial increase of 52.46%, from 61 to 93.
10
Hit-and-Run Crashes — September 2023
▼ -9.1% vs prior (11)
The number of fatal hit-and-run crashes decreased slightly from 11 in the prior period to 10 in the current period. The hit-and-run rate also showed a downward trend, decreasing from 12.5% of all fatal crashes in the prior year to 10.5% in the current year.
Vulnerable Road User Casualties
23
Pedestrians Killed
5
Cyclists Killed
80
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
93
Motorists Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of fatal crashes showed some shifts year-over-year. While Friday remained a peak day for fatal crashes in both periods, the count decreased from 20 in the prior year to 18 in the current year, tying with Thursday. The peak hour for fatal crashes shifted from 7 p.m. with 8 fatal crashes in the prior period to 2 a.m. with 8 fatal crashes in the current period, indicating a change in the most frequent time of day for these events.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
Fatal crashes predominantly occurred in clear weather conditions in both periods, increasing from 67 in the prior year to 81 in the current year. While crashes in cloudy and rainy conditions decreased, there was a notable shift in lighting conditions. Fatal crashes in unlit dark conditions increased from 16 to 24, whereas those in lit dark conditions decreased from 30 to 21.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Lighting condition field
Vehicles & Demographics
The age distribution of persons involved in fatal crashes showed notable shifts, with a significant increase in the 26-34 age group, rising from 28 in the prior year to 47 in the current year, making it the highest represented group. There was also a substantial increase in the 65+ age group, from 15 to 39. Regarding vehicle makes, Toyota became the most frequently involved make, increasing from 12 to 20, while Chevrolet involvement decreased from 15 to 12.
Top Vehicle Makes (159 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records
11 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (256 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Person-level records linked to crash events
Speed Limit Zones
Fatal crashes in higher speed zones increased year-over-year, with crashes at 65 mph rising from 13 to 19, and crashes at 75 mph increasing from 3 to 5. Conversely, fatal crashes in the 45 mph speed limit zone decreased from 22 in the prior period to 15 in the current period. Fatal crashes at 50 mph also saw a significant increase from 2 to 8.
Fatal crashes by zone: 20 mph: 1 of 1 (100%) · 25 mph: 4 of 4 (100%) · 35 mph: 11 of 11 (100%) · 40 mph: 19 of 19 (100%) · 45 mph: 15 of 15 (100%) · 50 mph: 8 of 8 (100%) · 55 mph: 9 of 9 (100%) · 65 mph: 19 of 19 (100%) · 75 mph: 5 of 5 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Posted speed limit at crash location
Manner of Collision
The dominant manner of fatal collision in both periods was 'The First Harmful Event was Not a Collision with a Motor Vehicle in Transport,' though its count decreased from 55 in the prior period to 46 in the current period. Angle collisions increased from 14 to 19, and front-to-front collisions saw a significant rise from 5 to 15 fatal crashes year-over-year.
Manner of Collision
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Vehicle Type
The most frequent vehicle body type involved in fatal crashes in the current period was 4-door sedans, which increased significantly from 24 in the prior period to 46. Light pickups also saw an increase from 15 to 20. The number of two-wheel motorcycles involved in fatal crashes remained relatively stable, decreasing slightly from 14 to 13, while truck-tractors increased from 9 to 11.
Vehicle Type
Showing top 9 of 21 reported. 12 additional (17 total) not shown: Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), 5-door/4-door hatchback, 3-door/2-door hatchback, ATV/ATC [All-Terrain Cycle], Unknown motored cycle type, Three-wheel Motorcycle (2 Rear Wheels), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Medium/heavy Pickup (GVWR greater than 10,000 lbs.), Convertible(excludes sun-roof,t-bar), Unknown body type, Off-road Motorcycle, Single-unit straight truck or Cab-Chassis (GVWR range 10,001 to 19,500 lbs.).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records
Rural vs Urban
The number of fatal crashes occurring in urban areas remained constant at 64 in both the current and prior periods. However, fatal crashes in rural areas increased from 24 in the prior period to 28 in the current period. This represents a slight increase in the proportion of fatal crashes occurring on rural trafficways, from 27.3% to 30.4%.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Roadway Functional Class
In the current period, 'Other Principal Arterial' roads accounted for the highest number of fatal crashes with 31, an increase from 23 in the prior period. Conversely, fatal crashes on 'Minor Arterial' roads decreased from 42 to 27 year-over-year. Fatal crashes on 'Major Collector' roads saw a significant increase, rising from 5 to 16.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Roadway Ownership
Fatal crashes on roadways owned by 'City or Municipal Highway Agency' remained the most frequent, increasing from 36 in the prior period to 43 in the current period. Fatal crashes on 'State Highway Agency' roads remained stable at 34, a slight decrease from 35. 'County Highway Agency' roads also saw a small increase in fatal crashes, rising from 10 to 12.
Roadway Ownership
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Person Type
Drivers continued to be the most represented person type in fatal crashes, with their count increasing from 132 in the prior period to 158 in the current period. Passengers also saw a notable increase from 58 to 76. The number of pedestrians involved in fatal crashes slightly decreased from 26 to 24, while bicyclists increased from 3 to 5.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Person Injury Severity
The number of fatalities ('K' severity) increased from 95 in the prior period to 108 in the current period. There was a substantial increase in persons sustaining minor injuries ('B' severity), rising from 11 to 39 year-over-year. Overall, the total number of injured persons (A, B, C, U severity) increased from 61 to 93.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records
Occupant Safety Equipment
The number of vehicle occupants reported using 'Shoulder and Lap Belt Used' increased from 91 to 104 year-over-year. However, there was a notable increase in instances where 'None Used/Not Applicable' was reported, rising from 54 in the prior period to 72 in the current period. This indicates a growing proportion of individuals involved in fatal crashes not using safety restraints.
Occupant Safety Equipment
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Person-level records linked to crash events
Point of Impact
The '12 Clock Point' (front impact) remained the most common point of impact in fatal crashes, with its count increasing significantly from 56 in the prior period to 77 in the current period. Rear impacts ('6 Clock Point') also saw an increase from 9 to 12. Conversely, fatal crashes categorized as 'Non-Collision' decreased from 8 to 5.
Point of Impact
"Other" combines 8 smaller categories (14 records): 9 Clock Point (3), Reported as Unknown (2), 5 Clock Point (2), 3 Clock Point (2), 11 Clock Point (2), Other Objects or Person Set-In-Motion (1), 7 Clock Point (1), Left-Front Side (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records
Vehicles Per Crash
The distribution of vehicles involved in fatal crashes shifted year-over-year, with single-vehicle fatal crashes decreasing from 52 in the prior period to 41 in the current period. Conversely, fatal crashes involving two vehicles increased significantly from 29 to 46. There was also an increase in fatal crashes involving three vehicles, rising from 4 to 6.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · 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: 2023-09-01 through 2023-09-30
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2023-09-01 through 2023-09-30 (30 days)
- Geographic scope: Arizona
- Total crash records analyzed: 95
- Total persons involved: 266
- Total vehicles involved: 159
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). "Arizona Crash Intelligence Report: September 2023." Published August 5, 2026. Reporting period: 2023-09-01 to 2023-09-30. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/arizona/fatal/statewide/september-2023-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: 2023-09-01 – 2023-09-30
Generated: August 5, 2026 · All rights reserved
Someone you love in this data? We’ll help you find out if you have a case.
Call our intake team. We connect you to an vetted Arizona attorney who handles fatal-crash and wrongful death cases, and who will treat your family’s situation with care.
Always free for accident victims.