Equal Pay Analysis De-Identification with anonym.plus

Strip identifiers from a remuneration study so the gap analysis stays anonymous.

Equal pay analysis de-identification is the removal of personal identifiers from a study tied to the Equality Act 2010, which gives a right to equal pay for equal work and underpins gender pay gap reporting. 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 grade, and a protected characteristic. You strip the direct identifiers before analysts run the gap model.

How anonym.plus handles it

  1. Open the sheet in anonym.plus on your device.
  2. The tool flags names, references, and wage figures.
  3. Local OCR reads a scanned table if present.
  4. Confirm the flags and keep job-grade columns.
  5. Swap or black out the marked items.
  6. Save the anonymous file locally.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONrow J. Coleman → [STAFF_1]
FinancialMONEYwage £71,000 → [WAGE]
IdentifiersUK_NINONI number → [NINO]
OrganizationORGANIZATIONEng unit → [TEAM]
DatesDATE_TIMEhire 2021 → [DATE]
LocationLOCATIONsite label → [SITE]

Compliance achieved

Anonymise salary-fairness studies offline — see plans & start free →

Limitations & cautions

A thin job grade plus a characteristic 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 the Equality Act 2010 require?

It gives a right to equal pay for equal work and underpins gender pay gap reporting. A de-identified sheet lets you test the gap without naming people.

Can I keep the job grades?

Yes. Only personal identifiers are marked. Grades stay so the gap model still runs.

Is it uploaded?

No. The app is offline, so the wage data stays on your device.