Pay equity analysis de-identification is the removal of personal identifiers from an equal-pay study tied to EEOC/EPA (29 U.S.C. §206(d)). That law bars wage differences based on sex for equal work. anonym.plus marks each name and figure on your device, so the gap analysis stays valid while no individual is named.
When this applies
Such a sheet ties each worker to a wage, a job code, and a protected trait. You strip the direct identifiers before analysts run the gap model.
How anonym.plus handles it
- Open the sheet in anonym.plus on your device.
- The tool flags names, IDs, and wage figures.
- Local OCR reads a scanned table if present.
- Confirm the flags and keep job-code columns.
- Swap or black out the marked items.
- Save the anonymous file locally.
What you need to provide
- The sheet (XLSX, CSV, PDF, or scan).
- An operator (Replace keeps the grid readable).
- Optional: turn the name map OFF for true anonymity.
PII entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | row J. Cole → [STAFF_1] |
| Financial | MONEY | wage $71,000 → [WAGE] |
| Identifiers | US_SSN | staff SSN → [SSN] |
| Organization | ORGANIZATION | Eng unit → [TEAM] |
| Dates | DATE_TIME | hire 2021 → [DATE] |
| Location | LOCATION | site label → [SITE] |
Compliance achieved
- Supports an equal-pay analysis under 29 U.S.C. §206(d).
- Keeps job codes so a gap model still runs.
- Offline work keeps the sheet off any server.
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Limitations & cautions
A thin job code plus a trait can re-identify a person even after names go. The tool flags named items. Aggregate small cells before analysts run the model.
Frequently asked questions
What does 29 U.S.C. §206(d) require?
The Equal Pay Act bars wage differences based on sex for equal work. A de-identified sheet lets you test the gap without naming people.
Can I keep the job codes?
Yes. Only personal identifiers are marked. Codes stay so the gap model still runs.
Is it uploaded?
No. The app is offline, so the wage data stays on your device.