Overall State Rating

Considers all nine SSDQ measures and the Overriding Indicator, except measures with a rating of "Insufficient Data." States receive an overall score based on ratings in each of the measures and the Overriding Indicator. A State that has received a "red flag" will be automatically rated "Poor". A State with at least one "Good" crash measure, one "Good" inspection measure, and no "Poor" measures receives a "Good" rating. A State with only one "Poor" measure will receive a "Fair" rating, and any State with two or more "Poor" measures will receive a "Poor" rating. (See image below.)

The Overall State Rating is determined as follows:

Rating		Criteria
Good		Minimum of 1 Good Crash Measure, 1 Good Inspection Measure, AND 0 Poor
Fair		Maximum of 1 Poor
Poor		2+ Poor OR Red Flagged
* States that are red flagged are automatically rated POOR overall.

Crash Rating

Considers the five SSDQ crash measures and the Overriding Indicator, except measures with a rating of "Insufficient Data." States receive an overall score based on ratings in each of the crash measures and the Overriding Indicator. A State that has received a "red flag" will be automatically rated "Poor". A State with at least one "Good" measure and no "Poor" measures receives a "Good" rating. A State with only one "Poor" measure will receive a "Fair" rating, and any State with two or more "Poor" measures will receive a "Poor" rating. (See image below.)

The Crash Rating is determined as follows:

Rating		Criteria
Good		Minimum of 1 Good AND 0 Poor
Fair		Maximum of 1 Poor
Poor		2+ Poor OR Red Flagged
* States that are red flagged are automatically rated POOR overall.

Crash Record Completeness: Average of Driver and Vehicle Identification Completeness Evaluations

The Crash Record Completeness Measure evaluates fatal and non-fatal crash records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This measure determines a rating based on the completeness of driver and vehicle crash data reported to FMCSA. A State's rating is determined by evaluating the completeness of the driver data and vehicle data separately and then averaging these results together. The completeness of the driver data is determined by the Driver Identification Completeness Evaluation and the completeness of the vehicle data is determined by the Vehicle Identification Completeness Evaluation.

The Crash Record Completeness rating is determined as follows:

Rating		Criteria
Good		Percentage of completed driver and vehicle information is >= 85%
Fair		Percentage of completed driver and vehicle information is 70 - 84%
Poor		Percentage of completed driver and vehicle information is < 70%

Updated Non-Fatal Crash Completeness Measure

All States are responsible for reporting fatal and non-fatal crash records to FMCSA that meet the standard reporting criteria. FMCSA uses these records to support its mission to reduce crashes, injuries, and fatalities involving large trucks and buses on our nation's roadways. Because of the complexity of State crash reporting systems, it is often difficult for States to determine if all reportable non-fatal crash records have been submitted to FMCSA. State-specific evaluations of crash reporting have determined significant underreporting and prompted the need to develop non-fatal crash record benchmarks for each State. The NFCC measure is intended to serve as a guideline to assess whether a State's non-fatal crash reporting falls within an expected range.

The NFCC measure determines a State rating by comparing the number of State-reported non-fatal crash records in MCMIS to an expected range of non-fatal crash records generated by a statistical model. The input data used by the model, how the data are processed through the model, and the evaluation and final determination of a State's NFCC rating are described in a 4-step approach.

• 1.Input State Fatal Data
• 
• 2. Process Data Through A Statistical Model
• 
• 3. Compare State Non-Fatal Data to Model Results
• 
• 4. Determine Rating Results

Step 1: Input State Fatal Data

The measure's algorithm utilizes a relationship between the numbers of fatal crash involvements to the number of non-fatal crash record involvements. State's fatal crash records reported to MCMIS are used as an input value to this measure. This record set represents interstate and intrastate motor carriers and includes large truck and bus vehicle types. The MCMIS fatal crash records cover a 12-month time period that ends six months prior to the MCMIS snapshot date.

Step 2

Step 2: Process Data Through a Statistical Model

It is hypothesized that a ratio of fatal crash involvements to non-fatal reportable involvements exists that is independent of any State’s data system and applies across all the States. Since the number of fatal crash involvements is generally well known, it is then possible to predict the number of non-fatal crash involvements that occur in a State. The NFCC measure utilizes a simple log-linear regression model that translates the number of fatal crash involvements in MCMIS to an expected range of non-fatal crash record involvements. The State fatal data is input to the statistical model to generate estimates of non-fatal crash involvements.

Two sets of prediction intervals are generated by the model to provide ranges of non-fatal crash involvements. The prediction intervals are expressed in terms of the probability that the number of reportable non-fatal crash involvements fall within the prediction interval. The model was programmed to output 99% and 90% prediction intervals. The prediction intervals are used to define expected data ranges, and each range has an upper and lower boundary.

The model incorporates an urbanization factor to account for the proportion of rural to urban commercial vehicle travel in a State. The purpose of the adjustment is to account for any variation in the ratio of fatal to non-fatal reportable crash involvements that may be due to variations in the proportion of rural or urban commercial motor vehicle travel in a State.

The document “A New Model of Crash Severities Reportable to the MCMIS Crash File” explains more about the statistical model used by this measure.

Step 3

Step 3: Compare State Non-Fatal Data to Model Results

The State-reported number of non-fatal crash records in MCMIS are compared against the expected data ranges output by the model. It is determined where the MCMIS non-fatal crash records fall within the expected data ranges. This determination is used to assign each State a base rating of 'good', 'fair', 'poor', or 'insufficient data'. The base rating assignments are one part of the final rating assignment process.

The diagram below illustrates the rating ranges based on the expected ranges generated from the statistical model. States with few fatal crash records may yield less predictable output and may be assigned an 'insufficient data' rating.

Rating Ranges
Under Reporting			Over Reporting
Poor *	Fair	Good	Fair
< Lower Boundary of 99% PI	>= Lower Boundary of 99% PI AND < Lower Boundary of 90% PI	>= Lower Boundary of 90% PI AND <= Upper Boundary of 99% PI	> Upper Boundary of 99% PI

* Assign a base rating of 'Insufficient Data' if Reported MCMIS Fatal Records is less than 15
   AND Non-Fatal Records is within the Poor Rating Range

The base rating assignments are defined as follows.

 

Base Rating Assignments: 

Good rating range: Reported Non-Fatal crash records (from MCMIS) is greater than or equal to lower boundary of 90% prediction interval AND less than or equal to upper boundary of 99% prediction interval

Fair rating range Reported Non-Fatal crash records (from MCMIS) is greater than or equal to lower boundary of 99% prediction interval AND less than lower boundary of 90% prediction interval (under reporting) OR
Reported Non-Fatal crash records is greater than upper boundary of 99% prediction interval (over reporting)

Poor rating range: Reported Non-Fatal crash records (from MCMIS) is less than lower boundary of 99% prediction interval AND MCMIS fatal crash records is greater than or equal to 15 (under reporting)

Insufficient Data rating range: Reported Non-Fatal crash records (from MCMIS) is less than lower boundary of 99% prediction interval AND MCMIS Fatal crash records is < 15

Step 4

Step 4: Determine Rating Results

The NFCC rating is determined by reviewing the base rating results and the most recent fatal crash completeness (FCC) measure rating for each State. Both of these ratings are important for the assignment of the final NFCC rating.

The FCC measure rating is considered since the model's output is using State-reported fatal crash records to generate estimated non-fatal crash record values. If a State's FCC rating is 'good' or 'fair', it is assumed their MCMIS fatal crash reporting is sufficient to estimate the expected number of non-fatal crash records. In those cases, the NFCC base rating is regarded as the final NFCC measure rating.

If a State's FCC rating is either 'poor' or 'insufficient data', it is assumed their MCMIS fatal crash reporting is insufficient due to inadequate reporting or too few fatal crash involvements occurring in the State. An “override” is administered, meaning, the base rating cannot be used. The override will result in an NFCC rating of either 'poor' or 'insufficient data' due to incomplete MCMIS fatal reporting.

The final Non-Fatal Crash Completeness rating is determined as follows:

Rating		Criteria
Good		Reported MCMIS non-fatal records fall within Good rating range AND FCC rating is Good or Fair
Fair		Reported MCMIS non-fatal records fall within Fair rating range AND FCC rating is Good or Fair
Poor		Reported MCMIS non-fatal records fall within Poor rating range AND FCC rating is Good, Fair or Poor
Insufficient Data		Base rating is assigned Insufficient Data OR Reported MCMIS non-fatal records fall within Good or Fair rating range AND FCC rating is Poor OR FCC rating is Insufficient Data

Step 1

Fatal Crash Completeness: Percentage of Fatal Crash Records Reported

The Fatal Crash Completeness Measure evaluates only those records that represent large trucks involved in fatal crashes that occurred within the calendar year. This measure determines a rating based on a comparison of the number of State-reported fatal crash records in MCMIS to the number of fatal crash records reported in the Fatality Analysis Reporting System (FARS). FARS is the national database of fatal motor vehicle crashes maintained by the National Highway Traffic Safety Administration (NHTSA).

The Fatal Crash Completeness rating is determined as follows:

Rating		Criteria
Good		MCMIS as a % of FARS is >= 90%
Fair		MCMIS as a % of FARS is 80 - 89%
Poor		MCMIS as a % of FARS is < 80%
Insufficient Data		State has < 15 FARS records AND MCMIS as a % of FARS is < 80%

Crash Timeliness: Percentage of Crash Records Reported within 90 Days

The Crash Timeliness Measure evaluates fatal and non-fatal crash records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This measure determines a rating based on the percentage of crash records reported to FMCSA within 90 days over a 12-month period.

The Crash Timeliness rating is determined as follows:

Rating		Criteria
Good		Percentage reported within 90 Days is >= 90%
Fair		Percentage reported within 90 Days is 65 - 89%
Poor		Percentage reported within 90 Days is < 65%
Insufficient Data		State has < 15 records reported in current timeframe AND percentage reported within 90 Days is < 65%

Crash Accuracy: Percentage of Matched Crash Records

The Crash Accuracy Measure evaluates fatal and non-fatal crash records that represent interstate carriers and intrastate carriers transporting hazardous material and includes large truck and bus vehicle types. This measure determines a rating based on the percentage of crash records reported by the State over a 12-month period that were matched to a company registered in MCMIS. (Crash records entered per FMCSA's "Procedures for Entering Crashes without Carrier Identification into SAFETYNET" are not evaluated by this measure.)

The Crash Accuracy rating is determined as follows:

Rating		Criteria
Good		Percentage of matched records is >= 95%
Fair		Percentage of matched records is 85 - 94%
Poor		Percentage of matched records is < 85%
Insufficient Data		State has < 15 records reported in current timeframe AND percentage of matched records is < 85%

Crash Consistency †: Percentage of State-Reported Non-Fatal Crash Records

The Crash Consistency Overriding Indicator evaluates non-fatal crash records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This "red flag" indicates States that have reported less than 50% of non-fatal crash records for the current 12-month period compared to the yearly average, based on the previous 36-months.

The Crash Consistency Overriding Indicator "flag" is determined as follows:

Rating		Criteria
No Flag		Estimate Reported is >= 50%
Red Flag		Estimate Reported is < 50%
Insufficient Data		State has < 15 records reported in current timeframe AND State has < 15 records reported in previous 3 year average AND Estimate Reported is <= 50%

† States that have an obvious and significant decline in crash record reporting will be categorized as Poor in the Overall State Rating and Crash Rating, without regard to their rating on other measures.

Inspection Record Completeness: Average of Driver and Vehicle Identification Completeness Evaluations

The Inspection Record Completeness Measure evaluates level 1, 2, and 3 roadside inspection records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This measure determines a rating based on the completeness of driver and vehicle inspection data reported to FMCSA. A State's rating is determined by evaluating the completeness of the driver data and vehicle data separately and then averaging these results together. The completeness of four (4) driver data elements are determined by the Driver Identification Completeness Evaluation and the completeness of two (2) vehicle data elements are determined by the Vehicle Identification Completeness Evaluation.

The Inspection Record Completeness rating is determined as follows:

Rating		Criteria
Good		Percentage of completed driver and vehicle information is >= 85%
Fair		Percentage of completed driver and vehicle information is 70 - 84%
Poor		Percentage of completed driver and vehicle information is < 70%

Inspection VIN Accuracy: Percentage of Valid Vehicle Identification Numbers Reported on the First Vehicle Unit within Inspection Records

The Inspection VIN Accuracy Measure evaluates level 1-6 roadside inspection records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This measure determines a rating based on the completeness and accuracy of the vehicle identification number reported on the first vehicle unit reported to FMCSA – all trailing units are excluded from this measure. A State’s rating is determined by evaluating the 17-character VIN using the "checksum" digit in the 9th character position. The checksum digit is used to determine if the VIN is accurate based upon an algorithm that uses the other 16 characters in the VIN. Any VIN with invalid characters (i.e. I, O, or Q) or an incomplete field (i.e. less than 17 characters) does not pass the checksum algorithm and is invalid. For this measure, records with all the same numbers (i.e. 99999999999999999) are also counted as invalid.

The Inspection VIN Accuracy rating is determined as follows:

Rating		Criteria
Good		Percentage of completed and accurate VIN is >= 85%
Fair		Percentage of completed and accurate VIN is 70 - 84%
Poor		Percentage of completed and accurate VIN is < 70%

Inspection Timeliness: Percentage of Inspection Records Reported within 21 Days

The Inspection Timeliness Measure evaluates inspection records that represent interstate and intrastate carriers and includes large truck and bus vehicle types. This measure determines a rating based on the percentage of inspection records reported to FMCSA within 21 days over a 12-month period.

The Inspection Timeliness rating is determined as follows:

Rating		Criteria
Good		Percentage reported within 21 Days is >= 90%
Fair		Percentage reported within 21 Days is 65 - 89%
Poor		Percentage reported within 21 Days is < 65%

Inspection Accuracy: Percentage of Matched Inspection Records

The Inspection Accuracy Measure evaluates inspection records that represent interstate carriers and intrastate carriers transporting hazardous material and includes large truck and bus vehicle types. This measure determines a rating based on the percentage of inspection records reported by the States over a 12-month period that were matched to a company registered in MCMIS.

The Inspection Accuracy rating is determined as follows:

Rating		Criteria
Good		Percentage of matched records is >= 95%
Fair		Percentage of matched records is 85 - 94%
Poor		Percentage of matched records is < 85%