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 · ALASKA · 2012
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/2012-annual-report
Yearly Traffic Safety Analysis
54 CRASHES IN
ALASKA
2012
In 2012, there were 54 fatal crashes, representing a 14.3% decrease from the 63 fatal crashes recorded in 2011. Overall, the number of fatalities fell by 18.1% from 72 to 59. One of the most significant changes was the 45.8% reduction in fatal crashes involving speeding, which fell from 24 in 2011 to 13 in 2012.
54
▼ -14.3%was 63
Total Crash Events
59
▼ -18.1%was 72
Persons Killed
55
▼ -16.7%was 66
Persons Injured
0
▼ -100.0%was 3
Hit-and-Run Crashes
Note: "Persons Killed" (59) counts individual fatalities across all crash events. "Fatal" in the severity table below (54) 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 · 2012-01-01 to 2012-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The data indicates a downward trend in fatal traffic incidents year-over-year. Fatal crashes decreased by 14.3% from 63 to 54. Similarly, the number of fatalities dropped by 18.1% (from 72 to 59), and injuries sustained in these crashes fell by 16.7% (from 66 to 55).
Vulnerable Road User Casualties
8
Pedestrians Killed
1
Cyclists Killed
49
Motorists Killed
1
Other Killed
0
Pedestrians Injured
0
Cyclists Injured
55
Motorists Injured
0
Other Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of fatal crashes shifted between the two periods. In 2012, the peak day for fatal crashes was Friday with 11 incidents, whereas in 2011, Monday and Tuesday were the peak days with 11 incidents each. The peak hour also moved from the afternoon to the evening, shifting from 3 p.m. in 2011 (5 crashes) to 9 p.m. in 2012 (6 crashes).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
In both 2012 and 2011, most fatal crashes occurred in clear weather and during daylight hours. Clear conditions were a factor in 30 fatal crashes in 2012 and 33 in 2011, while daylight was a factor in 33 and 37 crashes, respectively. There was a notable decrease in fatal crashes occurring in snow, which dropped from 5 incidents in 2011 to 1 in 2012.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Lighting condition field
Vehicles & Demographics
The most common vehicle makes involved in fatal crashes remained consistent, with Ford (15 vehicles in 2012, 20 in 2011) and Chevrolet (12 in 2012, 17 in 2011) leading in both years. However, the age distribution of people involved in these crashes shifted significantly. In 2012, the 26-34 age group was the most represented with 31 individuals, whereas in 2011, the 0-15 age group was the largest with 29 individuals.
Top Vehicle Makes (83 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (144 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of fatal crashes across speed zones remained broadly similar year-over-year, with the 55 mph zone accounting for the most incidents in both 2012 (18 crashes) and 2011 (21 crashes). The 45 mph zone was the second-highest in both periods, with 12 fatal crashes each year. There was a decrease in fatal crashes in lower speed zones, with incidents in 25 mph zones falling from 6 in 2011 to 2 in 2012.
Fatal crashes by zone: 25 mph: 2 of 2 (100%) · 30 mph: 2 of 2 (100%) · 35 mph: 2 of 2 (100%) · 40 mph: 5 of 5 (100%) · 45 mph: 12 of 12 (100%) · 50 mph: 4 of 4 (100%) · 55 mph: 18 of 18 (100%) · 60 mph: 1 of 1 (100%) · 65 mph: 8 of 8 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Posted speed limit at crash location
Manner of Collision
Single-vehicle crashes, categorized as 'Not a Collision with Motor Vehicle In-Transport', were the most common type of fatal incident in both years, though their number decreased from 41 in 2011 to 31 in 2012. These events accounted for 57.4% of fatal crashes in 2012. Angle and front-to-front collisions were the next most frequent types, with counts remaining relatively stable year-over-year at 11 and 10 in 2012, respectively, compared to 9 of each in 2011.
Manner of Collision
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash-level records
Vehicle Type
Passenger cars and light trucks were the most common vehicles in fatal crashes for both periods. In 2012, 15 4-door sedans, 14 standard pickups, and 13 compact utility vehicles were involved. This contrasts with 2011, when standard pickups were more dominant with 29 vehicles involved, followed by compact utility vehicles (16). The number of motorcycles involved in fatal crashes saw a slight decrease from 7 in 2011 to 6 in 2012.
Vehicle Type
Showing top 9 of 19 reported. 10 additional (14 total) not shown: Unknown motored cycle type, Truck-tractor (Cab only, or with any number of trailing unit; any weight), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Single-unit straight truck or Cab-Chassis (10,000 lbs. < GVWR < or = 19,500 lbs.), Single-unit straight truck or Cab-Chassis (GVWR > 26,000 lbs.), Cross Country/Intercity Bus, 5-door/4-door hatchback, Unknown van type, ATV/ATC [All-Terrain Cycle], Off-road Motorcycle.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Vehicle unit records
Rural vs Urban
Fatal crashes occurred predominantly on rural roadways in both years, a common pattern often associated with higher speeds and longer emergency response times. In 2012, 35 of the 54 fatal crashes (64.8%) were on rural roads, compared to 39 of 63 fatal crashes (61.9%) in 2011. While the total number of fatal crashes in both settings decreased, the proportion of incidents on rural roads slightly increased.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash-level records
Roadway Functional Class
The distribution of fatal crashes by roadway functional class shifted year-over-year. In 2012, Interstates saw the highest number of fatal crashes with 20 incidents, an increase from 16 in 2011. Conversely, fatal crashes on 'Principal Arterial - Other' roadways decreased from 13 in 2011 to 6 in 2012. 'Major Collector' roads saw an increase from 8 fatal crashes in 2011 to 11 in 2012.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash-level records
Person Type
In both years, drivers were the largest group of individuals involved in fatal crashes, with 83 recorded in 2012 and 91 in 2011. The number of passengers also decreased from 75 to 52. The number of pedestrians and bicyclists involved remained low but also saw a slight decrease, with pedestrian counts falling from 9 to 8 and bicyclist counts from 3 to 1.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash-level records
Person Injury Severity
The number of fatalities resulting from these crashes decreased from 72 in 2011 to 59 in 2012. The number of individuals with minor injuries also saw a substantial drop from 44 to 24. In contrast, the count of people with serious injuries remained stable at 18 in 2012, compared to 17 in the prior year.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Crash-level records
Occupant Safety Equipment
There was a notable improvement in safety equipment usage among vehicle occupants involved in fatal crashes. The number of individuals recorded as using no safety equipment dropped by 37.7%, from 53 in 2011 to 33 in 2012. Concurrently, the number of occupants reported using a shoulder and lap belt increased from 68 to 80, despite a lower total number of people involved in these crashes.
Occupant Safety Equipment
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Person-level records linked to crash events
Point of Impact
Frontal impacts, designated as '12 Clock Point', were the most frequent point of impact in both years. The number of vehicles sustaining frontal impacts in fatal crashes increased from 46 in 2011 to 54 in 2012. In contrast, 'Non-Collision' events, which can include rollovers, decreased from 14 incidents in 2011 to 8 in 2012.
Point of Impact
"Other" combines 5 smaller categories (5 records): 8 Clock Point (1), 6 Clock Point (1), Right (1), 3 Clock Point (1), Left (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · Vehicle unit records
Vehicles Per Crash
Single-vehicle crashes were the most common type of fatal incident in both periods, though their count decreased from 36 in 2011 to 29 in 2012. These crashes accounted for 53.7% of all fatal incidents in 2012, down slightly from 57.1% in the prior year. The number of two-vehicle fatal crashes also declined from 23 to 19, while three-vehicle crashes saw a small increase from 4 to 6.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2012-01-01 to 2012-12-31 · 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: 2012-01-01 through 2012-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2012-01-01 through 2012-12-31 (366 days)
- Geographic scope: Alaska
- Total crash records analyzed: 54
- Total persons involved: 145
- Total vehicles involved: 83
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: 2012." Published August 5, 2026. Reporting period: 2012-01-01 to 2012-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/alaska/fatal/statewide/2012-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: 2012-01-01 – 2012-12-31
Generated: August 5, 2026 · All rights reserved
Someone you love in this data? We’ll help you find out if you have a case.
Call our intake team. We connect you to an vetted Alaska attorney who handles fatal-crash and wrongful death cases, and who will treat your family’s situation with care.
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