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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Monthly Traffic Safety Analysis

6 CRASHES IN
ALASKA
SEPTEMBER 2023

All metrics benchmarked againstSeptember 2022

In September 2023, there were 6 fatal crashes, an increase from 3 fatal crashes in September 2022. Total fatalities also rose from 3 to 8. A notable shift includes the emergence of DUI and speeding as factors, each contributing to 4 fatal crashes in the current period compared to zero in the prior period.

6

100.0%was 3

Total Crash Events

8

166.7%was 3

Persons Killed

11

120.0%was 5

Persons Injured

6

100.0%was 3

Fatal Crash Events

Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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 crashes increased from 3 in September 2022 to 6 in September 2023. Concurrently, total fatalities more than doubled, rising from 3 to 8 over the same period.

Vulnerable Road User Casualties

8

Motorists Killed

Prior: 3166.7%

11

Motorists Injured

Prior: 5120.0%

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 peak day for fatal crashes shifted from Friday with 1 fatal crash in September 2022 to Monday with 2 fatal crashes in September 2023. While the peak hour remained 5p in both periods, the number of fatal crashes at this hour decreased from 2 in September 2022 to 1 in September 2023.

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 occurring in daylight conditions increased from 2 in September 2022 to 4 in September 2023. Similarly, fatal crashes in dark conditions increased from 1 to 2. Weather conditions data was not available for comparison between the two periods.

Weather

Clear2 (33.3%)
Cloudy2 (33.3%)
Rain2 (33.3%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Weather condition at time of crash

Lighting

Daylight4 (66.7%)
Dark - Not Lighted2 (33.3%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (11 vehicles)

1
FORD3 (27.3%)
2
TOYOTA3 (27.3%)
3
DODGE1 (9.1%)
4
PONTIAC1 (9.1%)
5
SUZUKI1 (9.1%)
6
PETERBILT1 (9.1%)
7
GMC1 (9.1%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records

Sex Distribution (20 persons with recorded sex)

Male13 (65.0%)
333.3%prior 3
Female7 (35.0%)
16.7%prior 6

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 at 55 mph speed limits increased from 1 in September 2022 to 2 in September 2023. Fatal crashes at 45 mph and 65 mph each remained at 1 in both periods. Additionally, September 2023 saw 1 fatal crash at 20 mph and 1 fatal crash at 35 mph, which were not present in the prior period.

Fatal crashes by zone: 20 mph: 1 of 1 (100%) · 35 mph: 1 of 1 (100%) · 45 mph: 1 of 1 (100%) · 55 mph: 2 of 2 (100%) · 65 mph: 1 of 1 (100%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Posted speed limit at crash location

Vehicle Type

The number of Light Pickup vehicles involved in fatal crashes increased from 1 in September 2022 to 2 in September 2023, as did 4-door sedan vehicles, which also increased from 1 to 2. Two Wheel Motorcycles remained at 1 in both periods. Truck-tractor vehicles were involved in 1 fatal crash in September 2022 but none in September 2023.

Vehicle Type

1
Light Pickup2 (18.2%)
2
4-door sedan, hardtop2 (18.2%)
3
Compact Utility (Utility Vehicle Categories "Small" and "Midsize")1 (9.1%)
4
Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large")1 (9.1%)
5
Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...)1 (9.1%)
6
Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.)1 (9.1%)
7
3-door/2-door hatchback1 (9.1%)
8
Two Wheel Motorcycle (excluding motor scooters)1 (9.1%)
9
5-door/4-door hatchback1 (9.1%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records

Person Type

The number of drivers involved in fatal crashes increased from 6 in September 2022 to 11 in September 2023. Similarly, the number of passengers increased from 3 to 9 over the same period.

Person Type

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash-level records

Person Injury Severity

Fatal injuries (K) increased from 3 in September 2022 to 8 in September 2023. Serious injuries (A) also rose from 3 to 7, and minor injuries (B) increased from 1 to 3. Possible injuries (C) were recorded for 1 person in September 2022 but not in September 2023.

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 persons using shoulder and lap belts in fatal crashes increased from 8 in September 2022 to 11 in September 2023. Persons recorded with no safety equipment used increased from 1 to 6 over the same period. Additionally, 1 person used a child restraint system and 1 person's safety equipment was reported as unknown in September 2023.

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) was the dominant point of impact, increasing from 3 occurrences in September 2022 to 9 in September 2023. A '6 Clock Point' (rear) impact occurred once in September 2023, a category not present in the prior period's data. Other impact points present in the prior period, such as '11 Clock Point', '4 Clock Point', and '9 Clock Point', were not recorded in September 2023.

Point of Impact

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit 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: Alaska
  • Total crash records analyzed: 6
  • Total persons involved: 20
  • Total vehicles involved: 11

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). "Alaska 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/alaska/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

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