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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CRASH INTELLIGENCE REPORT · ALASKA · 2010
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/alaska/fatal/statewide/2010-annual-report
Yearly Traffic Safety Analysis
52 CRASHES IN
ALASKA
2010
In 2010, Alaska recorded 52 fatal crashes which resulted in 56 deaths and 44 injuries. A significant factor in these incidents was driving under the influence, which was noted in half of all fatal crashes (26 incidents).
52
Total Crash Events
56
Persons Killed
44
Persons Injured
1.9%
Hit-and-Run Rate
Note: "Persons Killed" (56) counts individual fatalities across all crash events. "Fatal" in the severity table below (52) 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 · 2010-01-01 to 2010-12-31 · Aggregate counts from crash, person, and vehicle records
1
Hit-and-Run Crashes — 2010
According to initial officer reports, one fatal crash in 2010 was classified as a hit-and-run. This single incident represents 1.9% of the year's fatal crashes.
Vulnerable Road User Casualties
In 2010, vehicle occupants constituted the majority of casualties, with 50 motorists killed and 43 injured in fatal crashes. During the same period, 6 pedestrians were killed and 1 was injured. There were no cyclist fatalities or injuries recorded in this dataset.
6
Pedestrians Killed
50
Motorists Killed
1
Pedestrians Injured
43
Motorists Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Fatal crashes in 2010 occurred most frequently on Thursdays and Saturdays, with each day accounting for 10 incidents. The hours of 5 p.m. and 7 p.m. were the peak times for these events, each recording 6 fatal crashes. Overall, 31 of the 52 fatal crashes (59.6%) happened during daylight hours.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
The majority of fatal crashes occurred in favorable conditions, with 51.9% (27 crashes) happening in clear weather. Similarly, 59.6% of fatal crashes (31 incidents) took place during daylight hours. Adverse weather was a factor in a smaller number of crashes, including 16 in cloudy conditions and 4 during rain.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Lighting condition field
Vehicles & Demographics
Of the 132 individuals involved in fatal crashes, the 55-64 age group was the most represented with 20 people, followed by the 45-54 age group with 19 people. Among the 76 vehicles involved, Ford was the most frequent make, accounting for 13 vehicles. Other common makes included Chevrolet (8 vehicles), Toyota (7 vehicles), and Dodge (7 vehicles).
Top Vehicle Makes (76 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Vehicle unit records
Sex Distribution (132 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Person-level records linked to crash events
Speed Limit Zones
The highest number of fatal crashes, 18 incidents, occurred in zones with a posted speed limit of 55 mph, representing 34.6% of all fatal crashes. The 65 mph zone followed with 10 fatal crashes. As this dataset contains only fatal crashes, 100% of the crashes recorded within each respective speed zone resulted in a fatality.
Fatal crashes by zone: 25 mph: 1 of 1 (100%) · 30 mph: 1 of 1 (100%) · 35 mph: 3 of 3 (100%) · 40 mph: 3 of 3 (100%) · 45 mph: 7 of 7 (100%) · 50 mph: 3 of 3 (100%) · 55 mph: 18 of 18 (100%) · 65 mph: 10 of 10 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Posted speed limit at crash location
Manner of Collision
The most common fatal incident was classified as 'Not a Collision with Motor Vehicle In-Transport,' accounting for 33 crashes, or 63.5% of the total. Among crashes involving multiple vehicles, angle collisions were the most frequent with 9 incidents, followed by front-to-front collisions with 8 incidents.
Manner of Collision
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash-level records
Vehicle Type
Passenger cars and light trucks were the most common vehicles in fatal crashes, with 4-door sedans accounting for 15 vehicles and standard pickups for 12 vehicles. Motorcycles represented a notable share, with 9 involved, making up 11.8% of the 76 vehicles in the dataset. Large trucks were involved in 5 incidents.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (10 total) not shown: Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), Snowmobile, Single-unit straight truck or Cab-Chassis (19,500 lbs. < GVWR < or = 26,000 lbs.), ATV/ATC [All-Terrain Cycle], 5-door/4-door hatchback, Convertible(excludes sun-roof,t-bar), Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large"), Single-unit straight truck or Cab-Chassis (10,000 lbs. < GVWR < or = 19,500 lbs.).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Vehicle unit records
Rural vs Urban
Fatal crashes were more prevalent on rural trafficways, which accounted for 30 of the 52 incidents (57.7%), while urban areas saw 22 fatal crashes. This indicates a higher number of fatalities occurred on rural roads, which often feature higher speeds and longer emergency response times.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash-level records
Roadway Functional Class
Interstate highways were the site of the most fatal crashes in 2010, with 24 incidents recorded. Arterial roads (including principal and minor) collectively accounted for 12 fatal crashes. Collector roads were the location for 9 fatal crashes, and local roads saw 7 fatal crashes.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash-level records
Person Type
Of the 132 people involved in fatal crashes, the majority were drivers, accounting for 75 individuals (56.8%). Passengers made up the next largest group with 50 individuals (37.9%). Pedestrians were involved in 7 instances, representing 5.3% of all persons.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash-level records
Person Injury Severity
Among the 132 individuals involved in these fatal crashes, 56 sustained fatal injuries (42.4%). A total of 44 people were injured, including 20 with serious injuries and 21 with minor injuries. The remaining 32 individuals were recorded as having no injuries.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Crash-level records
Occupant Safety Equipment
Analysis of safety equipment usage shows that 81 vehicle occupants were reported as using a shoulder and lap belt. However, a notable portion of individuals were not using available safety equipment, with 25 occupants recorded as using no restraints and 9 motorcyclists recorded as wearing no helmet.
Occupant Safety Equipment
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Person-level records linked to crash events
Point of Impact
The front of the vehicle, designated as the '12 Clock Point,' was the most common point of impact in collisions, involved in 39 instances. Side impacts to the '9 Clock Point' (left side) and '3 Clock Point' (right side) were less frequent, with 5 and 4 instances respectively. Non-collision events, such as rollovers, were recorded for 14 vehicles.
Point of Impact
"Other" combines 3 smaller categories (4 records): 1 Clock Point (2), Cargo/Vehicle Parts Set-In-Motion (1), 5 Clock Point (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · Vehicle unit records
Vehicles Per Crash
Single-vehicle crashes were the most common scenario, accounting for 30 of the 52 fatal incidents (57.7%). Crashes involving two vehicles were the next most frequent type with 19 incidents (36.5%). Multi-vehicle incidents involving three or more vehicles were rare, with only 3 such crashes recorded.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2010-01-01 to 2010-12-31 · 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: 2010-01-01 through 2010-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2010-01-01 through 2010-12-31 (365 days)
- Geographic scope: Alaska
- Total crash records analyzed: 52
- Total persons involved: 132
- Total vehicles involved: 76
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: 2010." Published August 5, 2026. Reporting period: 2010-01-01 to 2010-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/alaska/fatal/statewide/2010-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: 2010-01-01 – 2010-12-31
Generated: August 5, 2026 · All rights reserved
Someone you love in this data? We’ll help you find out if you have a case.
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