Employee Data
Fake employees at fake banks, hospitals, schools, government offices and companies, with realistic salaries and job details.
- Rows
- 2,84,324
- Region
- India
- Labeled PII
- Yes
- Fraud labels
- No
What you can test with it
- Score a DLP, redaction or PII-detection system against the ground-truth answer key — every sensitive field is already labeled.
- Test reference-data and lookup testing on India-shaped data rather than US-shaped placeholders.
- Populate a lower environment, demo or training set without touching real customer data.
Fields
- employee_id
- subject_ref
- full_name
- gender
- age
- dob
- addr_line1
- addr_line2
- city
- state
- postal_code
- country
- employer_kind
- employer_ref
- employer_name
- occupation
- income_band
- annual_income_minor
- income_currency
- aadhaar
- pan
- ssn
- region_code
Related datasets
Is this data safe to use?
Yes. Every record is generated, never derived from or masked from real people, and every identifier is non-issuable by construction — correctly formatted, but failing checksum validation or using a reserved range so it can never match a real person or institution.