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 · 2011
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/2011-annual-report
Yearly Traffic Safety Analysis
63 CRASHES IN
ALASKA
2011
In 2011, there were 63 fatal crashes, a 21.2% increase from the 52 fatal crashes recorded in 2010. This rise in fatal incidents corresponded with a 28.6% increase in fatalities, from 56 to 72, and a 50% increase in persons injured, from 44 to 66. One of the most significant shifts was the more than doubling of individuals reported as using no safety equipment, which rose from 25 in 2010 to 53 in 2011.
63
▲ 21.2%was 52
Total Crash Events
72
▲ 28.6%was 56
Persons Killed
66
▲ 50.0%was 44
Persons Injured
3
▲ 200.0%was 1
Hit-and-Run Crashes
Note: "Persons Killed" (72) counts individual fatalities across all crash events. "Fatal" in the severity table below (63) 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 · 2011-01-01 to 2011-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends worsened year-over-year, with fatal crashes increasing by 21.2%, from 52 in 2010 to 63 in 2011. The number of people killed in these incidents rose from 56 to 72, and the number of people injured grew from 44 to 66.
3
Hit-and-Run Crashes — 2011
▲ 200.0% vs prior (1)
The number of fatal hit-and-run crashes tripled, increasing from 1 incident in 2010 to 3 incidents in 2011. As a result, the hit-and-run rate, as a proportion of all fatal crashes, rose from 1.9% to 4.8% year-over-year, indicating an upward trend.
Vulnerable Road User Casualties
9
Pedestrians Killed
2
Cyclists Killed
61
Motorists Killed
0
Pedestrians Injured
1
Cyclists Injured
65
Motorists Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · 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 2011, the peak days for fatal crashes were Monday and Tuesday, with 11 incidents each. This contrasts with 2010, when Thursday and Saturday were the peak days with 10 incidents each. The peak hour also shifted earlier, from 7 p.m. in 2010 (6 crashes) to 3 p.m. in 2011 (5 crashes).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
Fatal crashes in daylight conditions increased from 31 in 2010 to 37 in 2011, while those in dark conditions rose from 17 to 24. Clear weather was the setting for the majority of fatal crashes in both years, accounting for 33 incidents in 2011 and 27 in 2010. The proportion of fatal crashes occurring in adverse weather like rain or snow remained stable, representing 17.5% of incidents in 2011 compared to 17.3% in 2010.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Lighting condition field
Vehicles & Demographics
Ford and Chevrolet vehicles were the most frequently involved in fatal crashes in both years; Ford's involvement grew from 13 to 20 vehicles, and Chevrolet's more than doubled from 8 to 17. A notable demographic shift occurred among persons involved in these crashes: the 0-15 age group was the largest in 2011 with 29 individuals, up from 17 the prior year. In 2010, the 55-64 age group had been the most represented with 20 individuals.
Top Vehicle Makes (92 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (177 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Person-level records linked to crash events
Speed Limit Zones
In both years, 55 mph zones experienced the highest number of fatal crashes, with 21 in 2011 and 18 in 2010. There was a shift in other zones, as fatal crashes in 65 mph zones decreased from 10 to 5, while those in 45 mph zones increased from 7 to 12. As this dataset exclusively contains fatal crashes, the fatality rate for incidents recorded in every speed zone was 100%.
Fatal crashes by zone: 20 mph: 1 of 1 (100%) · 25 mph: 6 of 6 (100%) · 30 mph: 3 of 3 (100%) · 35 mph: 2 of 2 (100%) · 40 mph: 3 of 3 (100%) · 45 mph: 12 of 12 (100%) · 50 mph: 3 of 3 (100%) · 55 mph: 21 of 21 (100%) · 65 mph: 5 of 5 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Posted speed limit at crash location
Manner of Collision
Collisions not involving another motor vehicle in transport, such as single-vehicle crashes or collisions with fixed objects, were the dominant type in both periods. This category accounted for 41 fatal crashes (65.1%) in 2011, an increase from 33 incidents (63.5%) in 2010. Angle and head-on collisions were the next most common types, with 9 incidents each in 2011, remaining consistent with the prior year.
Manner of Collision
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash-level records
Vehicle Type
The mix of vehicle types involved in fatal crashes changed year-over-year. In 2011, standard pickups were the most common type with 29 vehicles involved, a significant increase from 12 in 2010. In the prior year, 4-door sedans were the leading type with 15 vehicles, a figure that fell to 12 in 2011. Motorcycle involvement in fatal crashes decreased slightly from 9 in 2010 to 7 in 2011.
Vehicle Type
Showing top 9 of 17 reported. 8 additional (12 total) not shown: Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...), Off-road Motorcycle, Station Wagon (excluding van and truck based), 2-door sedan,hardtop,coupe, Cab Chassis Based (includes Rescue Vehicle, Light Stake, Dump, and Tow Truck), Unknown body type, School Bus, Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Vehicle unit records
Rural vs Urban
Fatal crashes on rural roads continued to outnumber those in urban areas, increasing from 30 in 2010 to 39 in 2011. The share of fatal crashes occurring in rural settings grew from 57.7% to 61.9% year-over-year. This elevated share on rural roads is a significant finding, as these trafficways often carry a disproportionate fatality risk due to factors like higher speeds and longer emergency response times.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash-level records
Roadway Functional Class
The distribution of fatal crashes by roadway functional class shifted between the two years. In 2010, Interstates accounted for the largest number of fatal crashes with 24, but this figure dropped to 16 in 2011. Conversely, fatal crashes on Principal Arterials more than doubled from 5 to 13, and incidents on Local roads increased from 7 to 12.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash-level records
Person Type
Drivers were the most frequent person type involved in fatal crashes in both periods, with their numbers increasing from 75 in 2010 to 91 in 2011. The number of passengers involved also saw a significant 50% rise, from 50 to 75. Notably, 3 bicyclists were involved in fatal crashes in 2011, whereas none were recorded in 2010.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash-level records
Person Injury Severity
The total number of fatalities (K) from these crashes rose from 56 in 2010 to 72 in 2011. The number of individuals sustaining minor injuries (B) more than doubled, from 21 to 44. While the count of serious injuries (A) saw a slight decrease from 20 to 17, the total number of people involved across all injury levels grew from 132 to 178.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Crash-level records
Occupant Safety Equipment
There was a significant negative trend in safety equipment use among persons in fatal crashes. The number of individuals reported as using no restraint more than doubled, rising from 25 in 2010 to 53 in 2011. In contrast, the number of occupants who used a shoulder and lap belt decreased from 81 to 68 over the same period.
Occupant Safety Equipment
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Person-level records linked to crash events
Point of Impact
Frontal impacts, designated as '12 Clock Point,' were the most common point of impact in both years, increasing from 39 incidents in 2010 to 46 in 2011. These frontal impacts accounted for the majority of collisions where an impact point was specified. 'Non-Collision' events, such as rollovers, were the second-most frequent category and remained stable with 14 occurrences in both periods.
Point of Impact
"Other" combines 8 smaller categories (12 records): 2 Clock Point (2), 10 Clock Point (2), Left-Front Side (2), Right-Front Side (2), Right-Back Side (1), 11 Clock Point (1), 8 Clock Point (1), Left (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · Vehicle unit records
Vehicles Per Crash
Single-vehicle fatal crashes were the most common incident type in both years, increasing from 30 in 2010 to 36 in 2011. These crashes represented 57% of all fatal incidents in 2011, compared to 58% in the prior year. Two-vehicle fatal crashes also increased, rising from 19 to 23 incidents.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2011-01-01 to 2011-12-31 · 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: 2011-01-01 through 2011-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2011-01-01 through 2011-12-31 (365 days)
- Geographic scope: Alaska
- Total crash records analyzed: 63
- Total persons involved: 178
- Total vehicles involved: 92
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: 2011." Published August 5, 2026. Reporting period: 2011-01-01 to 2011-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/alaska/fatal/statewide/2011-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: 2011-01-01 – 2011-12-31
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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