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.
If someone you love is part of this data, call us.
We'll connect you with a vetted Alabama attorney who handles fatal-crash and wrongful death cases and will evaluate whether you have a case.
ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ALABAMA · 2018
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/2018-annual-report
Yearly Traffic Safety Analysis
876 CRASHES IN
ALABAMA
2018
In 2018, Alabama recorded 876 fatal crashes, a 1.4% increase from the 864 fatal crashes in 2017. These incidents resulted in 953 fatalities in 2018, compared to 948 in the prior year. The most notable year-over-year shift was a 23.1% increase in the number of individuals sustaining non-fatal injuries in these crashes, which rose from 528 in 2017 to 650 in 2018.
876
▲ 1.4%was 864
Total Crash Events
953
▲ 0.5%was 948
Persons Killed
650
▲ 23.1%was 528
Persons Injured
33
▼ -10.8%was 37
Hit-and-Run Crashes
Note: "Persons Killed" (953) counts individual fatalities across all crash events. "Fatal" in the severity table below (876) 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 · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Fatal crashes in Alabama showed a slight upward trend, increasing by 1.4% from 864 in 2017 to 876 in 2018. The number of fatalities remained relatively stable, rising by five individuals from 948 to 953. However, the number of people injured in these fatal crashes saw a substantial 23.1% increase year-over-year.
33
Hit-and-Run Crashes — 2018
▼ -10.8% vs prior (37)
The number of fatal hit-and-run crashes decreased from 37 in 2017 to 33 in 2018. This represents a downward trend in the rate of hit-and-runs as a proportion of all fatal crashes, which fell from 4.3% to 3.8% year-over-year.
Vulnerable Road User Casualties
107
Pedestrians Killed
9
Cyclists Killed
834
Motorists Killed
3
Other Killed
2
Pedestrians Injured
0
Cyclists Injured
647
Motorists Injured
1
Other Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · 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 shifted between 2017 and 2018. The most frequent day for fatal crashes moved from Sunday (151 crashes) in 2017 to Friday (143 crashes) in 2018. Similarly, the peak hour for these incidents shifted from 8 p.m. (57 crashes) in the prior year to the afternoon commute at 3 p.m. (53 crashes) in the current year.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
Fatal crashes occurring in daylight increased from 395 in 2017 to 432 in 2018, while those in unlit dark conditions decreased from 301 to 277. Although clear weather was the predominant condition in both years, the count of fatal crashes in clear weather dropped from 578 to 538. Conversely, fatal crashes in adverse weather increased, with those in rain rising from 84 to 114 and those in cloudy conditions increasing from 172 to 211.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Lighting condition field
Vehicles & Demographics
The top three vehicle makes involved in fatal crashes remained consistent, with Chevrolet (245 vehicles), Ford (192), and Toyota (114) leading in 2018, all showing increases from their 2017 counts of 209, 187, and 108 respectively. A notable demographic shift occurred among younger individuals involved in fatal crashes; the 16-20 age group saw its numbers increase substantially from 168 in 2017 to 235 in 2018. In contrast, the number of persons in the 21-25 age group decreased from 214 to 203.
Top Vehicle Makes (1,321 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Vehicle unit records
73 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,023 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of fatal crashes across speed zones shifted between the two periods. While 55 mph zones saw the most fatal crashes in both years, the count increased from 241 in 2017 to 261 in 2018. Conversely, fatal crashes in 45 mph zones decreased notably from 232 to 196. The number of fatal crashes in 70 mph zones also saw a decrease, from 84 in 2017 to 76 in 2018.
Fatal crashes by zone: 20 mph: 1 of 1 (100%) · 25 mph: 29 of 29 (100%) · 30 mph: 28 of 28 (100%) · 35 mph: 71 of 71 (100%) · 40 mph: 84 of 84 (100%) · 45 mph: 196 of 196 (100%) · 50 mph: 34 of 34 (100%) · 55 mph: 261 of 261 (100%) · 60 mph: 19 of 19 (100%) · 65 mph: 70 of 70 (100%) · 70 mph: 76 of 76 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Posted speed limit at crash location
Manner of Collision
Single-vehicle crashes, categorized as 'Not a Collision with Motor Vehicle In-Transport', remained the most common type of fatal incident in both years, though their number decreased from 560 in 2017 to 520 in 2018. In contrast, fatal crashes involving multiple vehicles saw an increase, with angle collisions rising from 126 to 148 and front-to-front collisions increasing from 101 to 131.
Manner of Collision
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Vehicle Type
Four-door sedans were the most frequent vehicle type in fatal crashes in both periods, with 400 involved in 2018, down slightly from 409 in 2017. The involvement of light pickups increased from 241 to 275. The number of large trucks (truck-tractors) and motorcycles remained relatively stable, with 71 and 79 vehicles involved in fatal crashes in 2018, compared to 73 and 80 in the prior year, respectively.
Vehicle Type
Showing top 9 of 32 reported. 23 additional (155 total) not shown: 5-door/4-door hatchback, Unknown body type, Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), Convertible(excludes sun-roof,t-bar), Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), 3-door/2-door hatchback, Single-unit straight truck or Cab-Chassis (GVWR range 10,001 to 19,500 lbs.), Medium/heavy Pickup (GVWR greater than 10,000 lbs.), Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.), ATV/ATC [All-Terrain Cycle], Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Farm equipment other than trucks, Other vehicle type (includes go-cart, fork-lift, city street sweeper dunes/swamp buggy), Recreational Off-Highway Vehicle, Cross Country/Intercity Bus, Auto-based pickup (includes E1 Camino, Caballero, Ranchero, SSR, G8-ST, Subaru Brat, Rabbit Pickup), Off-road Motorcycle, School Bus, Van-Based Bus GVWR greater than 10,000 lbs., Cab Chassis Based (includes Rescue Vehicle, Light Stake, Dump, and Tow Truck), Motor Scooter, Other motored cycle type (mini-bikes, pocket motorcycles "pocket bikes"), Three-wheel Motorcycle (2 Rear Wheels).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Vehicle unit records
Rural vs Urban
In 2018, 56.2% of fatal crashes (492 incidents) occurred in rural areas, while 43.8% (384 incidents) occurred in urban settings. This represents a shift from 2017, when rural crashes accounted for a larger share (60.4%, or 522 incidents). While the number of rural fatal crashes decreased, urban fatal crashes increased from 342 in 2017 to 384 in 2018.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Roadway Functional Class
The distribution of fatal crashes across roadway functional classes remained highly consistent year-over-year. Arterial roads accounted for the largest number of fatal crashes, with 227 on 'Principal Arterial - Other' and 207 on 'Minor Arterial' roadways in 2018, nearly unchanged from 228 and 206 in 2017. Fatal crashes on Interstates decreased from 111 to 102, while those on Major Collector roads saw a slight increase from 184 to 188.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Roadway Ownership
Roadways owned by the State Highway Agency accounted for the majority of fatal crashes in both years, with the number increasing from 493 in 2017 to 502 in 2018. Fatal crashes on county-owned roads decreased from 248 to 230. Conversely, fatal incidents on city or municipal-owned roadways increased from 123 in 2017 to 144 in 2018.
Roadway Ownership
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Person Type
Drivers were the largest group of individuals involved in fatal crashes, with their numbers increasing from 1,249 in 2017 to 1,315 in 2018. The number of passengers involved also grew, from 532 to 596. In contrast, the number of pedestrians involved in fatal crashes decreased from 128 in the prior year to 109 in the current year.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Person Injury Severity
In 2018, a total of 2,042 people were involved in fatal crashes, resulting in 953 fatalities, a number nearly identical to the 948 fatalities recorded in 2017. While the number of individuals with serious injuries (Label 'A') decreased slightly from 245 to 237, there was a notable increase in minor injuries (Label 'B'), which rose from 211 in 2017 to 309 in 2018.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Crash-level records
Occupant Safety Equipment
Reported use of shoulder and lap belts among occupants in fatal crashes increased from 927 individuals in 2017 to 997 in 2018. The number of occupants reported as using no safety equipment or for whom it was not applicable decreased slightly from 569 to 563. Among motorcyclists, the use of DOT-compliant helmets was reported for 59 individuals, down from 62 in the prior year.
Occupant Safety Equipment
"Other" combines 6 smaller categories (42 records): Lap Belt Only Used (12), Child Restraint System - Rear Facing (12), Booster Seat (10), Shoulder Belt Only Used (3), Helmet, Unknown if DOT Compliant (3), Child Restraint Type Unknown (2).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Person-level records linked to crash events
Point of Impact
Frontal impacts ('12 Clock Point') were the most common initial point of impact in fatal crashes for both periods, and their count increased from 741 in 2017 to 822 in 2018. Rear impacts ('6 Clock Point') also saw an increase, rising from 67 to 86. These two impact types represented the most significant areas of vehicle contact in fatal collisions.
Point of Impact
"Other" combines 10 smaller categories (125 records): 10 Clock Point (33), 2 Clock Point (20), Undercarriage (15), 7 Clock Point (14), 8 Clock Point (13), 4 Clock Point (9), 5 Clock Point (8), Reported as Unknown (7), Top (4), Other Objects Set-In-Motion (2).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · Vehicle unit records
Vehicles Per Crash
The number of single-vehicle fatal crashes decreased from 521 in 2017 to 482 in 2018. In contrast, the number of two-vehicle fatal crashes increased substantially, rising from 275 to 342. Crashes involving three vehicles saw a decrease from 54 incidents in the prior year to 39 in the current year.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2018-01-01 through 2018-12-31 (365 days)
- Geographic scope: Alabama
- Total crash records analyzed: 876
- Total persons involved: 2,042
- Total vehicles involved: 1,321
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: 2018." Published August 5, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/alabama/fatal/statewide/2018-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: 2018-01-01 – 2018-12-31
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 Alabama attorney who handles fatal-crash and wrongful death cases, and who will treat your family’s situation with care.
Always free for accident victims.