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

9 CRASHES IN
HAWAII
SEPTEMBER 2023

All metrics benchmarked againstSeptember 2022

September 2023 saw 9 fatal crashes, an increase from 8 fatal crashes in September 2022. Fatalities also rose from 8 to 9 year-over-year. A notable shift was the increase in fatal crashes involving driving under the influence and speeding, both rising from 2 to 7 incidents.

9

12.5%was 8

Total Crash Events

9

12.5%was 8

Persons Killed

0

-100.0%was 4

Persons Injured

0

-100.0%was 3

Hit-and-Run Crashes

Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) 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

The number of fatal crashes increased from 8 in September 2022 to 9 in September 2023. Concurrently, the number of fatalities rose from 8 to 9. Conversely, the total number of injuries reported in these fatal crashes decreased from 4 to 0.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 3-33.3%

7

Motorists Killed

Prior: 540.0%

0

Pedestrians Injured

Prior: 1-100.0%

0

Motorists Injured

Prior: 3-100.0%

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

Wednesday remained the day with the highest number of fatal crashes, increasing from 2 in September 2022 to 3 in September 2023. The peak hour for fatal crashes was 7 p.m. in both periods, with counts rising from 2 to 3. Overall, the temporal distribution of fatal crashes showed a similar pattern year-over-year, with slight increases in peak period activity.

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 clear weather conditions increased from 5 in September 2022 to 6 in September 2023. Fatal crashes in dark, unlighted conditions increased from 1 to 4 year-over-year, while those in daylight conditions decreased from 3 to 1. The road surface condition data was not available for either period.

Weather

Clear6 (66.7%)
20.0%prior 5
Cloudy2 (22.2%)
Rain1 (11.1%)

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

Lighting

Dark - Not Lighted4 (44.4%)
Dark - Lighted3 (33.3%)
Dark - Unknown Lighting1 (11.1%)
Daylight1 (11.1%)

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

Vehicles & Demographics

Top Vehicle Makes (12 vehicles)

1
HARLEY-DAVIDSON2 (16.7%)
2
NISSAN/DATSUN2 (16.7%)
3
CHEVROLET1 (8.3%)
4
FORD1 (8.3%)
5
KAWASAKI1 (8.3%)
6
MAZDA1 (8.3%)
7
TOYOTA1 (8.3%)
8
ACURA1 (8.3%)
9
YAMAHA1 (8.3%)
10
BMW1 (8.3%)

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

Sex Distribution (15 persons with recorded sex)

Male11 (73.3%)
-21.4%prior 14
Female4 (26.7%)
-20.0%prior 5

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 35 mph increased from 2 in September 2022 to 4 in September 2023. Crashes at 25 mph remained stable at 2 for both periods. In September 2023, there was 1 fatal crash at 50 mph and 1 at 55 mph, while September 2022 recorded 1 fatal crash at 30 mph, 1 at 40 mph, and 1 at 45 mph.

Fatal crashes by zone: 25 mph: 2 of 2 (100%) · 35 mph: 4 of 4 (100%) · 50 mph: 1 of 1 (100%) · 55 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

Two-wheel motorcycles involved in fatal crashes increased from 2 in September 2022 to 4 in September 2023. Fatal crashes involving compact utility vehicles decreased from 3 to 1, and light pickups also decreased from 3 to 1. Four-door sedans remained stable at 2 fatal crashes in both periods.

Vehicle Type

1
Two Wheel Motorcycle (excluding motor scooters)4 (33.3%)
2
4-door sedan, hardtop2 (16.7%)
3
Compact Utility (Utility Vehicle Categories "Small" and "Midsize")1 (8.3%)
4
2-door sedan,hardtop,coupe1 (8.3%)
5
Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...)1 (8.3%)
6
Light Pickup1 (8.3%)
7
Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large")1 (8.3%)
8
5-door/4-door hatchback1 (8.3%)

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 remained stable at 12 for both September 2022 and September 2023. Pedestrians involved in fatal crashes decreased from 4 to 2. Passengers involved in fatal crashes also decreased from 3 to 2 year-over-year.

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) increased from 8 in September 2022 to 9 in September 2023. Persons sustaining serious injuries (A) decreased from 2 to 0, and those with minor injuries (B) decreased from 2 to 0. The count of persons with no reported injuries (O) remained stable at 7 in both periods.

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 involved in fatal crashes reported as using 'None Used/Not Applicable' safety equipment increased from 4 in September 2022 to 8 in September 2023. Conversely, those reported as using 'Shoulder and Lap Belt Used' decreased from 8 to 4. The count of 'Reported as Unknown' safety equipment use decreased from 3 to 1.

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

Impacts at the '12 Clock Point' increased from 8 in September 2022 to 10 in September 2023. 'Right-Front Side' impacts, which accounted for 3 incidents in September 2022, were not observed in September 2023. The current period also saw 1 fatal crash with a 'Left-Front Side' impact.

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: Hawaii
  • Total crash records analyzed: 9
  • Total persons involved: 16
  • Total vehicles involved: 12

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). "Hawaii 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/hawaii/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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