Employee Datasets Learn more

8 realistic employee datasets covering every major world region — USA, India, EU, UK, Australia, LATAM, Africa and China. 40,000+ records each with 30 HR fields including demographics, employment details, salary, performance and company data. Ready for analysis, testing and demos.

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⤓ Download all 8 datasets

8 files · 30 columns each

Employee Datasets

What this helps with

Realistic HR data for building dashboards, reports and analytics demos
Testing ETL pipelines, data-quality checks and BI tool configurations
Training and onboarding — practice analysis without touching production data
Cross-region comparison exercises with consistent schemas

What's included

8 datasets — USA, India, EU (27 countries), UK (43 regions), Australia (8 states/territories), LATAM (20 countries), Africa (54 countries), China (34 provinces)
40,000+ records each — evenly distributed across every country/state/territory within each region
30 columns per file — employee ID, name, DOB, gender, emails, phone, address, hire date, status, type, department, title, manager, location type, salary, performance, plus 10 company-level fields
Region-appropriate names, phone formats, postal codes, salary ranges and company naming conventions

Schema overview

Identity: employee_id, full_name, preferred_name, date_of_birth, gender_identity
Contact: work_email, personal_email, phone_number
Location: home_address_city, home_address_state, home_address_zip
Employment: hire_date, employment_status, employment_type, department, job_title, manager_employee_id, work_location_type
Compensation: salary_base_annual, performance_rating_latest
Company: company_id, company_legal_name, company_trade_name, company_hq_state, company_industry_naics_code, company_primary_operating_state, company_operating_states_list, company_operating_states_count, company_state_focus_flag, company_state_focus_notes

How to use

Browse by region chips or type a keyword in the search bar
Click Columns on any card to inspect the full 30-column schema
Hit Download CSV to grab an individual file, or use Download All to fetch every file

Privacy

100% synthetic data — no real individuals
No tracking, no sign-ups — just data
Files are served directly from GitHub