Fraud-case indicators
Identity-theft indicators show up in 1 of every 8 classified relief-fraud cases
Across 1,977 classified pandemic relief-fraud cases, 246 carry identity-theft indicators drawn from the case documents — 12.4% of these prosecuted cases, a lower bound. Narrow to the 849 cases tagged to the EIDL program and the share climbs to 16.1%. These are litigation and document indicators, not adjudicated fraud counts.
Identity-theft indicators by case set: 12.4% of all classified prosecutions (a lower bound), 16.1% among EIDL-tagged
The same classification across all cases, then restricted to EIDL-tagged cases.
How firmly the cases are classified
Confidence tags on the 1,977 classifications. All but one sit at high or medium confidence.
In the archive
Sources. Counts and rates recompute from the identity-theft classification dataset (1,977 classified cases, each drawn from a Justice Department press release): identity-theft split 246 yes / 1,731 no; EIDL-tagged subset 849 cases, 137 yes / 712 no; confidence 795 high / 1,181 medium / 1 low. Rates 246 / 1,977 = 12.4% and 137 / 849 = 16.1%, per the underlying case data.