Triage Extraction Stats

Aggregate quality and case-value signals across processed police reports.

Overview

Reports processed

1,051

2.28 people / report

People (occupants)

2,399

1,920 vehicles

Injured people

305

0 fatal (KABCO)

Hospitalized people

278

172 not at-fault driver

Reported injured (box 9)

415

Sum of officer-reported totals

Reported killed (box 8)

0

Sum of officer-reported totals

At-fault commercial

84

9.2% of 912 at-fault vehicles

Extraction spend

$47.86

$0.0455 avg / report

Letter eligibility

Letter-eligible people

Letter-eligible = qualifies under the case rules AND is mailable (has a first/last name and a full address). Qualifying = letter-eligible + unknown name + unknown address. The matrix below covers letter-eligible (mailable) people only.

803

Letter-eligible (33.5% of 2,399)

803

Unique recipients (deduped by person)

1,105

Qualifying (rule-eligible, before mailable gate)

36

Unknown name (qualifies, can't mail)

25

Unknown address (named, no full address)

2,399

Total people in dataset

Letter-eligible (mailable) people by persona and injury status

PersonaHospitalizedInjured, not hospitalizedNo recorded injuryTotal
Passenger / non-driver5347338438
Not-at-fault driver8957112258
Driver (fault undetermined)114015
At-fault driver920092
Total245108450803

Why no-injury drivers still qualify

Not-at-fault / undetermined drivers with no recorded injury are eligible only via a crash trigger (a person can hit both).

29

At-fault vehicle was commercial

87

Their vehicle was towed / removed

Injury & hospitalization

Injury severity (box 86 - KABCO)

Most severe injury type (box 90)

Hospitalized vs not (all people)

Of injured people: hospitalized vs not

Ejection from vehicle (box 85)

Airbag deployment (box 94)

Occupant role (box 83)

Fault, commercial & demographics

At-fault vehicles: commercial vs not

Not-at-fault people: adults vs minors (box 87)

Age distribution (box 87)

Gender (box 88)

Vehicle removal status

Removal status (all vehicles)

Removal status (not-at-fault vehicles)

Dataset shape

Crashes over time (by day)

Extraction confidence

Top municipalities