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 · MONTANA · 2023
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/montana/fatal/statewide/2023-annual-report
Yearly Traffic Safety Analysis
196 CRASHES IN
MONTANA
2023
In the current period, there were 196 fatal crashes, an increase of 5.37% from the 186 fatal crashes in the prior period. Despite the increase in fatal crashes, the total number of fatalities decreased by 3.26%, from 215 in the prior period to 208 in the current period. This indicates a notable shift where more fatal crash events resulted in fewer overall deaths.
196
▲ 5.4%was 186
Total Crash Events
208
▼ -3.3%was 215
Persons Killed
137
▲ 29.2%was 106
Persons Injured
7
▲ 75.0%was 4
Hit-and-Run Crashes
Note: "Persons Killed" (208) counts individual fatalities across all crash events. "Fatal" in the severity table below (196) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Fatal crashes in the current period increased by 5.37%, rising from 186 to 196 year-over-year. Conversely, the total number of fatalities decreased by 3.26%, from 215 in the prior period to 208 in the current period. This suggests a trend of more fatal crash events, but with a slight reduction in the total number of lives lost.
7
Hit-and-Run Crashes — 2023
▲ 75.0% vs prior (4)
Hit-and-run fatal crashes increased from 4 in the prior period to 7 in the current period. This represents an increase in the hit-and-run rate from 2.2% to 3.6% of all fatal crashes.
Vulnerable Road User Casualties
20
Pedestrians Killed
2
Cyclists Killed
186
Motorists Killed
2
Pedestrians Injured
0
Cyclists Injured
135
Motorists Injured
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · 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 showed some shifts year-over-year. Friday remained the peak day for fatal crashes in both periods, increasing from 39 in the prior period to 43 in the current period. The peak hour for fatal crashes shifted from 6 PM, which had 18 fatal crashes in the prior period, to 8 PM, which recorded 19 fatal crashes in the current period.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Road & Environmental Conditions
Fatal crashes occurring in clear weather increased from 96 in the prior period to 115 in the current period, while those in cloudy conditions saw a slight increase from 56 to 58. Fatal crashes in daylight decreased from 108 to 93, whereas fatal crashes occurring in dark, unlighted conditions increased from 58 to 72. Road surface conditions data was not available for comparison.
Weather
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Lighting condition field
Vehicles & Demographics
Among the top vehicle makes involved in fatal crashes, Ford saw a notable increase from 27 vehicles in the prior period to 43 in the current period, becoming the most frequently involved make. Chevrolet decreased from 42 to 38, while Dodge increased from 26 to 31. In terms of persons involved, the 0-15 age group saw an increase from 29 to 43 persons, and the 16-20 age group increased from 33 to 54 persons.
Top Vehicle Makes (279 vehicles)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (439 persons with recorded sex)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
Fatal crashes occurring in higher speed zones remained prominent, with those at 70 mph increasing from 43 in the prior period to 50 in the current period. Crashes at 65 mph also increased from 40 to 44. Conversely, fatal crashes in the 80 mph speed zone decreased from 24 to 19.
Fatal crashes by zone: 15 mph: 2 of 2 (100%) · 25 mph: 10 of 10 (100%) · 30 mph: 3 of 3 (100%) · 35 mph: 20 of 20 (100%) · 40 mph: 2 of 2 (100%) · 45 mph: 13 of 13 (100%) · 50 mph: 5 of 5 (100%) · 55 mph: 14 of 14 (100%) · 60 mph: 10 of 10 (100%) · 65 mph: 44 of 44 (100%) · 70 mph: 50 of 50 (100%) · 75 mph: 1 of 1 (100%) · 80 mph: 19 of 19 (100%)
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Posted speed limit at crash location
Manner of Collision
The dominant manner of collision in both periods was 'The First Harmful Event was Not a Collision with a Motor Vehicle in Transport,' accounting for 128 fatal crashes (65.3%) in the current period, a decrease from 132 fatal crashes (71%) in the prior period. Angle collisions increased from 21 fatal crashes in the prior period to 34 in the current period. Front-to-front collisions remained stable at 21 fatal crashes in both periods.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Other (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Vehicle Type
Light Pickup vehicles were the most frequently involved body type in fatal crashes, increasing from 50 in the prior period to 84 in the current period. Compact Utility vehicles also saw an increase from 36 to 41. The involvement of Two Wheel Motorcycles slightly decreased from 34 to 32, and Large Trucks (Truck-tractors) decreased from 18 to 16.
Vehicle Type
Showing top 9 of 23 reported. 14 additional (27 total) not shown: Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...), 2-door sedan,hardtop,coupe, Recreational Off-Highway Vehicle, Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.), 5-door/4-door hatchback, ATV/ATC [All-Terrain Cycle], Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), 3-door/2-door hatchback, Convertible(excludes sun-roof,t-bar), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Medium/Heavy Vehicle Based Motor Home, School Bus, Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), Unknown motored cycle type.
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
Rural vs Urban
Rural trafficways continued to account for the majority of fatal crashes, increasing from 144 in the prior period to 157 in the current period. This represents approximately 81.3% of fatal crashes in the current period (157 out of 193 total rural/urban crashes), indicating that rural roads carry a disproportionate share of fatalities. Urban fatal crashes decreased from 40 to 36.
Rural vs Urban
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Roadway Functional Class
In the current period, Other Principal Arterial roads accounted for 83 fatal crashes, a notable increase from 67 fatal crashes on Principal Arterial roads in the prior period. Interstate fatal crashes decreased from 32 to 23, and Minor Arterial fatal crashes also decreased from 37 to 31. Local roads maintained a consistent 21 fatal crashes in both periods.
Roadway Functional Class
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Roadway Ownership
State Highway Agencies continued to oversee the most roadways where fatal crashes occurred, with 147 fatal crashes in the current period, an increase from 130 in the prior period. Fatal crashes on roads owned by City or Municipal Highway Agencies decreased from 24 to 14. County Highway Agencies saw a slight increase from 21 to 24 fatal crashes.
Roadway Ownership
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Person Type
Drivers were the most common person type involved in fatal crashes, increasing from 255 in the prior period to 279 in the current period. Passengers also saw a significant increase from 105 to 137. The number of pedestrians involved in fatal crashes increased from 19 to 22, while bicyclists decreased from 3 to 2.
Person Type
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Person Injury Severity
While total fatalities decreased from 215 to 208, the number of persons sustaining serious injuries (A) increased from 42 to 51. Similarly, persons with minor injuries (B) increased from 47 to 69, and those with no injuries (O) increased from 69 to 95. Overall, the total number of injured persons (A, B, C, U) increased from 106 to 137.
Person Injury Severity
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records
Occupant Safety Equipment
The number of persons recorded as using 'None Used/Not Applicable' safety equipment in fatal crashes increased from 175 in the prior period to 195 in the current period. Concurrently, the number of persons using 'Shoulder and Lap Belt Used' also increased from 167 to 186. The significant share of 'None Used/Not Applicable' indicates a continued concern regarding safety restraint use.
Occupant Safety Equipment
"Other" combines 2 smaller categories (2 records): Child Restraint System - Rear Facing (1), Shoulder Belt Only Used (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Point of Impact
The '12 Clock Point' (front of the vehicle) remained the dominant point of impact, increasing from 127 in the prior period to 137 in the current period. 'Non-Collision' incidents decreased from 44 to 40. Impacts at the '1 Clock Point' (front-right) increased from 16 to 25.
Point of Impact
"Other" combines 13 smaller categories (39 records): 2 Clock Point (6), 9 Clock Point (6), 4 Clock Point (5), 10 Clock Point (4), Left (4), Right-Front Side (3), Undercarriage (3), 7 Clock Point (2), 5 Clock Point (2), Right (1), Left-Front Side (1), Top (1), Left-Back Side (1).
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records
Vehicles Per Crash
Single-vehicle fatal crashes remained the most frequent type, increasing from 121 in the prior period to 126 in the current period. Two-vehicle fatal crashes also increased from 55 to 59. Fatal crashes involving three vehicles increased from 7 to 9.
Vehicles Per Crash
Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: August 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: Montana
- Total crash records analyzed: 196
- Total persons involved: 440
- Total vehicles involved: 279
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). "Montana Crash Intelligence Report: 2023." Published August 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/montana/fatal/statewide/2023-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: 2023-01-01 – 2023-12-31
Generated: August 5, 2026 · All rights reserved
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