Traffic grant enforcement data doesn't compile itself. Every officer working a Virginia DMV-funded enforcement shift generates statistics that have to be reported accurately, aggregated across the grant period, and submitted to justify continued funding. The agency that can't produce clean stop counts, citation breakdowns, and DUI arrest totals for an auditor is the agency that loses the grant.
The Reporting Problem That Kills Grant Compliance
The data already exists in some form — CAD reports, citation books, arrest logs. The problem is assembly. A traffic enforcement grant report that covers sixty shifts, nine officers, and a three-month enforcement window requires pulling data from multiple sources, matching it to the correct officer on the correct shift date, and totaling it accurately. When that work happens at the end of the grant period, errors are inevitable and corrections are expensive.
The per-shift reporting structure in this template eliminates the end-of-period crunch by making each shift a complete, self-contained record. Date of Shift, Begin Shift, End Shift, and Total Hours Worked define the time envelope. Officer Name and Authorizing Supervisor establish the chain of accountability. Fill this in at the end of the shift while the numbers are fresh and the shift details are current — not two weeks later from memory.
Counting What the Grant Actually Cares About
Virginia DMV traffic grant reporting has specific categorical requirements, and each one maps directly to a field.
DUI/DUID Arrests is the high-value metric. Drunk and drug-impaired driving enforcement is what most traffic safety grants are funded to address. One DUI arrest per shift is a good enforcement night. Three is exceptional. The integer field means the count is always exact — there's no rounding, no "approximately," no ranges.
Speeding Citations tracks the core moving violation activity. On a 55-mph state route where grant enforcement is focused, an officer working a four-hour shift in good visibility might write eight to twelve speeding citations. Knowing the per-shift average across the grant period tells supervisors whether enforcement intensity is meeting the grant-specified targets.
Safety Belt Citations and Child Safety Seat Citations are tracked separately because they are separately funded priorities in many grant structures. A buckle-up enforcement campaign generates a different citation profile than a speed enforcement campaign, and the grant report needs to show activity in the specific categories the funding agency cares about.
All Other Traffic Citations is the catch-all that captures defective equipment, improper registration, expired inspection, and the rest of the moving and equipment violations that come out of a traffic stop once the primary contact is made.
All Criminal Arrests as a Result of a Traffic Stop is the field that demonstrates the secondary intelligence value of traffic enforcement. The officer who stops a vehicle for a headlight out at 1 AM and discovers an occupant with an outstanding felony warrant, a controlled substance in the center console, or both — that's a criminal arrest from a traffic stop. Counting those arrests demonstrates that traffic enforcement generates investigative value beyond the moving violation.
The Stop and Search Picture
Number of Vehicles Stopped is the denominator that puts everything else in proportion. Citation rate, warning rate, arrest rate — all of them need the total stop count to be meaningful. An officer with six DUI arrests in a shift is an outlier. An officer with six DUI arrests who made forty traffic stops is an extraordinary outlier who probably ran a sobriety checkpoint.
Number of Vehicles Searched (Consent or K9) is the field that creates transparency around search activity. It doesn't distinguish between consent searches and K9 deployments in the current field structure — it combines both. For grant reporting purposes, the total count is what matters. For deeper analysis, Summary of Activities carries the narrative detail: which stops generated searches, what the K9 alert situation was, and whether searches resulted in recovery of contraband that connects to the criminal arrest count.
Warnings Given completes the enforcement outcome picture. The ratio of citations to warnings to arrests describes enforcement style and strategy — and some grant programs track it explicitly to ensure that grant-funded shifts are producing citations rather than educational contacts.
The Summary of Activities free-text field is where the shift story lives. "Deployed at the Route 17 / Route 3 intersection corridor, 1900-2300. Six speeding stops, two DUI arrests, both breath tests administered at scene. One occupant with suspended license, vehicle towed. Fog conditions reduced traffic volume after 2130" — that kind of narrative turns numbers into a shift record a supervisor can actually read.
Total hours worked cross-multiplied by the officer's grant-funded hourly rate is also how reimbursement gets calculated. The hours field is not administrative noise; it's billing documentation.