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 · ALABAMA · 2015
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/alabama/fatal/statewide/2015-annual-report
Yearly Traffic Safety Analysis
784 CRASHES IN
ALABAMA
2015
In 2015, there were 784 fatal crashes, an increase of 5.0% from the 747 fatal crashes recorded in 2014. These incidents resulted in 850 fatalities in 2015, compared to 820 in the prior year. The most significant year-over-year change was a 62.5% increase in the number of fatal hit-and-run crashes, which rose from 24 to 39.
784
▲ 5.0%was 747
Total Crash Events
850
▲ 3.7%was 820
Persons Killed
619
▲ 28.2%was 483
Persons Injured
39
▲ 62.5%was 24
Hit-and-Run Crashes
Note: "Persons Killed" (850) counts individual fatalities across all crash events. "Fatal" in the severity table below (784) 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 · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in traffic fatalities is upward year-over-year. The number of fatal crashes increased by 5.0% from 747 to 784. The count of individuals killed in these crashes rose by 3.7% from 820 to 850, and the number of non-fatally injured persons involved in these incidents increased by 28.2% from 483 to 619.
39
Hit-and-Run Crashes — 2015
▲ 62.5% vs prior (24)
Fatal hit-and-run crashes showed a significant upward trend. The number of such incidents increased by 62.5%, from 24 in 2014 to 39 in 2015. Consequently, the rate of fatal crashes classified as hit-and-run rose from 3.2% in the prior period to 5.0% in the current period.
Vulnerable Road User Casualties
98
Pedestrians Killed
9
Cyclists Killed
743
Motorists Killed
13
Pedestrians Injured
3
Cyclists Injured
603
Motorists Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of fatal crashes remained broadly consistent between the two periods. Saturday was the peak day for fatal crashes in both 2015 (134 crashes) and 2014 (156 crashes), though the total number of Saturday crashes decreased. The peak hour for fatal crashes was also stable at 5 p.m. in both years, with 51 incidents in 2015 and 48 in 2014.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
Fatal crashes in clear weather were stable, with 528 incidents in 2015 compared to 523 in 2014. However, fatal crashes occurring in rainy conditions increased by 60%, rising from 50 incidents in 2014 to 80 in 2015. Regarding lighting, fatal crashes in daylight increased from 349 to 373, while those in unlit dark conditions were nearly unchanged, moving from 275 to 279.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Lighting condition field
Vehicles & Demographics
The makes of vehicles involved in fatal crashes showed a consistent pattern, with Chevrolet and Ford being the most frequent in both years. In 2015, 200 Chevrolet and 194 Ford vehicles were involved, up from 190 and 167, respectively, in 2014. Among persons involved, the 35-44 age group saw a notable increase from 232 individuals in 2014 to 285 in 2015.
Top Vehicle Makes (1,184 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Vehicle unit records
50 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,861 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Speed Limit Zones
Fatal crashes were most prevalent in 55 mph and 45 mph zones in both periods. In 2015, there were 231 fatal crashes in 55 mph zones and 193 in 45 mph zones, compared to 206 and 208, respectively, in 2014. The data indicates a slight shift, with the total number of fatal crashes in zones posted at 55 mph or higher increasing from 336 to 379 year-over-year.
Fatal crashes by zone: 15 mph: 1 of 1 (100%) · 20 mph: 1 of 1 (100%) · 25 mph: 20 of 20 (100%) · 30 mph: 18 of 18 (100%) · 35 mph: 70 of 70 (100%) · 40 mph: 49 of 49 (100%) · 45 mph: 193 of 193 (100%) · 50 mph: 44 of 44 (100%) · 55 mph: 231 of 231 (100%) · 60 mph: 14 of 14 (100%) · 65 mph: 66 of 66 (100%) · 70 mph: 68 of 68 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Posted speed limit at crash location
Manner of Collision
In both periods, the most common crash type did not involve a collision with another motor vehicle in transport, which typically represents single-vehicle crashes. This category accounted for 480 incidents (61.2%) in 2015, a decrease from 503 incidents (67.3%) in 2014. In contrast, angle collisions increased from 101 to 141, and front-to-front collisions rose from 75 to 95.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Other (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Four-door sedans were the most common vehicle type in fatal crashes in both years, increasing from 328 in 2014 to 370 in 2015. Standard pickups were the second most common, rising from 177 to 212. The involvement of large truck-tractors in fatal crashes increased from 60 to 83, while motorcycle involvement remained stable, with 64 in 2015 compared to 62 in 2014.
Vehicle Type
Showing top 9 of 26 reported. 17 additional (140 total) not shown: Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...), 5-door/4-door hatchback, Unknown body type, Single-unit straight truck or Cab-Chassis (GVWR > 26,000 lbs.), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), 3-door/2-door hatchback, ATV/ATC [All-Terrain Cycle], Cab Chassis Based (includes Rescue Vehicle, Light Stake, Dump, and Tow Truck), Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), Single-unit straight truck or Cab-Chassis (19,500 lbs. < GVWR < or = 26,000 lbs.), Farm equipment other than trucks, Convertible(excludes sun-roof,t-bar), School Bus, Other motored cycle type (mini-bikes, motor scooters, pocket motorcycles, "pocket bikes"), Three-wheel Motorcycle or Moped - not All-Terrain Vehicle, Unknown light vehicle type (automobile,utility vehicle, van, or light truck), Off-road Motorcycle (2-wheel).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Vehicle unit records
Rural vs Urban
The majority of fatal crashes occurred in rural areas in both periods. In 2015, 533 fatal crashes were rural and 251 were urban, compared to 495 rural and 251 urban in 2014. The rural share of fatal crashes increased slightly from 66.3% to 68.0%. Rural roads often have a disproportionately high share of fatalities due to factors such as higher speeds and longer emergency response times.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Functional Class
Arterial roadways accounted for the largest number of fatal crashes in both years. In 2015, 395 fatal crashes occurred on principal and minor arterials, an increase from 325 in 2014. Fatal crashes on Interstates remained unchanged at 94 incidents in both periods, while those on major collector roads decreased from 179 to 153.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Ownership
In 2015, the majority of fatal crashes, 439 incidents, occurred on roadways owned by the State Highway Agency. County Highway Agency roads accounted for the second-highest number with 232 fatal crashes, followed by City or Municipal Highway Agency roads with 111. Comparative data for 2014 is not available.
Roadway Ownership
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Person Type
Drivers were the most frequent person type involved in fatal crashes, with their numbers increasing from 1,055 in 2014 to 1,181 in 2015. Passengers were the second-largest group, increasing from 508 to 567. The number of pedestrians and bicyclists involved remained relatively stable, with 111 pedestrians and 12 bicyclists in 2015, compared to 108 and 11, respectively, in the prior year.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
In 2015, 850 fatalities and 619 injuries were recorded among the 1,881 people involved in fatal crashes. This compares to 820 fatalities and 483 injuries among 1,687 people in 2014. The total number of fatalities increased by 3.7%, while the number of people with serious injuries rose from 228 to 289.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
In 2015, 929 vehicle occupants involved in fatal crashes were recorded as using a shoulder and lap belt, an increase from 816 in 2014. The number of occupants reported as using no safety equipment also increased, rising from 518 in 2014 to 548 in 2015. In both years, a substantial number of occupants in fatal crashes were unrestrained.
Occupant Safety Equipment
"Other" combines 6 smaller categories (14 records): Child Restraint System - Rear Facing (6), Booster Seat (3), Shoulder Belt Only Used (2), Helmet, Unknown if DOT Compliant (1), Child Restraint Type Unknown (1), Unknown if Helmet Worn (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Point of Impact
Frontal impacts ('12 Clock Point') were the most frequent initial point of impact in collisions, increasing from 620 incidents in 2014 to 697 in 2015. This represented approximately 63% of all collisions in both periods. Rear impacts ('6 Clock Point') also increased from 63 to 78, while non-collision events, such as rollovers, decreased from 80 to 72.
Point of Impact
"Other" combines 11 smaller categories (129 records): 10 Clock Point (35), 2 Clock Point (24), 8 Clock Point (19), 7 Clock Point (14), 4 Clock Point (13), Undercarriage (8), 5 Clock Point (8), Top (4), Right (2), Left (1), Left-Front Side (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · Vehicle unit records
Vehicles Per Crash
Single-vehicle incidents were the most common type of fatal crash in both years, though their count decreased from 476 in 2014 to 446 in 2015. In contrast, the number of two-vehicle fatal crashes rose from 224 to 287. This reflects a shift from single-vehicle to two-vehicle fatal crashes as the primary driver of the overall increase in incidents.
Vehicles Per Crash
"Other" combines 2 smaller categories (2 records): 9 (1), 10 (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2015-01-01 to 2015-12-31 · 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: 2015-01-01 through 2015-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: Alabama
- Total crash records analyzed: 784
- Total persons involved: 1,881
- Total vehicles involved: 1,184
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). "Alabama Crash Intelligence Report: 2015." Published August 5, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/alabama/fatal/statewide/2015-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: 2015-01-01 – 2015-12-31
Generated: August 5, 2026 · All rights reserved
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