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National Trends

FMCSA relies on its State partners to provide crash and inspection data each month. Improving the quality of every State’s safety data will result in a more effective use of our Nation’s enforcement resources.

National Trends: Fatal Crash Completeness Measure

National Trends > Measures
Good
51
Fair
0
Poor
0
Insuf Data
0
The national Fatal Crash Completeness measure results show the number of States within each rating. A State’s completeness rating is based on the percentage of the State’s evaluated fatal crash records that were reported to MCMIS as compared to the number of fatal crash records in FARS. These crashes occurred in calendar year 2022. Learn how this rating is calculated.
 
States use the FARS/MCMIS Matching tool to help reconcile differences between the number of fatal crash records in the FARS and MCMIS databases.

Why this matters

Complete fatal crash reporting helps FMCSA prioritize carriers for interventions that pose the greatest safety risk. Crash records reported to MCMIS are used by the SMS to assess carrier safety performance and prioritize carriers for interventions. The SMS weights crashes based, in part, on the severity of the crash.

 

Please select the table view tab below to access the data.

October 25, 2024 Snapshot

Fatal Crash Completeness Measure: Percentage of Fatal Crash Records
State Rating 2022 (Fatal Crash Records)
FARS MCMIS MCMIS as a % of FARS
National N/A 5,482 5,895 108%
Alabama Good - Green Circle 151 156 103%
Alaska Good - Green Circle 6 6 100%
Arizona Good - Green Circle 153 167 109%
Arkansas Good - Green Circle 116 118 102%
California Good - Green Circle 417 491 118%
Colorado Good - Green Circle 94 99 105%
Connecticut Good - Green Circle 37 39 105%
Delaware Good - Green Circle 20 24 120%
District of Columbia Good - Green Circle 2 2 100%
Florida Good - Green Circle 320 345 108%
Georgia Good - Green Circle 248 256 103%
Hawaii Good - Green Circle 6 7 117%
Idaho Good - Green Circle 30 31 103%
Illinois Good - Green Circle 217 233 107%
Indiana Good - Green Circle 168 171 102%
Iowa Good - Green Circle 75 79 105%
Kansas Good - Green Circle 76 86 113%
Kentucky Good - Green Circle 95 95 100%
Louisiana Good - Green Circle 95 108 114%
Maine Good - Green Circle 10 10 100%
Maryland Good - Green Circle 57 65 114%
Massachusetts Good - Green Circle 45 45 100%
Michigan Good - Green Circle 100 105 105%
Minnesota Good - Green Circle 71 64 90%
Mississippi Good - Green Circle 83 89 107%
Missouri Good - Green Circle 141 143 101%
Montana Good - Green Circle 22 26 118%
Nebraska Good - Green Circle 54 56 104%
Nevada Good - Green Circle 36 39 108%
New Hampshire Good - Green Circle 14 15 107%
New Jersey Good - Green Circle 112 107 96%
New Mexico Good - Green Circle 84 89 106%
New York Good - Green Circle 141 146 104%
North Carolina Good - Green Circle 162 149 92%
North Dakota Good - Green Circle 27 28 104%
Ohio Good - Green Circle 214 228 107%
Oklahoma Good - Green Circle 118 142 120%
Oregon Good - Green Circle 64 68 106%
Pennsylvania Good - Green Circle 179 190 106%
Rhode Island Good - Green Circle 5 5 100%
South Carolina Good - Green Circle 131 133 102%
South Dakota Good - Green Circle 19 20 105%
Tennessee Good - Green Circle 155 164 106%
Texas Good - Green Circle 736 856 116%
Utah Good - Green Circle 34 41 121%
Vermont Good - Green Circle 10 10 100%
Virginia Good - Green Circle 115 124 108%
Washington Good - Green Circle 75 81 108%
West Virginia Good - Green Circle 37 37 100%
Wisconsin Good - Green Circle 73 74 101%
Wyoming Good - Green Circle 32 33 103%

Good

MCMIS as a % of FARS is 90% or more

Fair

MCMIS as a % of FARS is 80 - 89%

Poor

MCMIS as a % of FARS is 0 - 79%

Insufficient Data

State has less than 10 FARS records reported in current timeframe AND the number of MCMIS records as a percentage of FARS records is 0 - 79%

Data Source: FARS records and MCMIS crash records representing interstate, intrastate, and non-motor carriers and includes only large trucks involved in crashes that occurred within the calendar year. (Excludes FARS records identified for exclusion through the FARS/MCMIS Matching Tool.)

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