Sample employees CSV.
An HR roster: employee IDs, names, departments, titles, hire dates, salaries and a remote flag. The table behind every org-chart, payroll and headcount example.
An HR roster: employee IDs, names, departments, titles, hire dates, salaries and a remote flag. The table behind every org-chart, payroll and headcount example.
The small files are static downloads. The large ones are generated in your browser from the same fixed seed, so every copy of employees-100000.csv on earth is byte-identical — reproducible test data with no 60 MB download.
→ Open this dataset in the dashboard builder · → Open in the CSV editor
| employee_id | name | department | title | hire_date | salary | location | remote |
|---|---|---|---|---|---|---|---|
| E-2001 | Rex Park | Design | Lead | 2020-06-28 | 132686 | London | no |
| E-2002 | Sofia Klein | Engineering | Associate | 2023-05-02 | 160850 | London | no |
| E-2003 | Lena Dubois | Engineering | Specialist | 2021-11-09 | 57470 | Austin | no |
| E-2004 | Noah Cole | People | Specialist | 2021-04-12 | 88240 | New York | yes |
| E-2005 | Ravi Silva | Sales | Senior | 2023-11-24 | 79884 | London | no |
| E-2006 | Emil Moreau | Engineering | Associate | 2022-12-21 | 62726 | Berlin | yes |
| E-2007 | Sam Riley | Engineering | Lead | 2020-05-05 | 93860 | London | no |
| E-2008 | Zoe Sato | Sales | Associate | 2019-07-03 | 149522 | Austin | no |
| column | description |
|---|---|
employee_id | Sequential ID |
name | Full name (synthetic) |
department | Department |
title | Seniority title |
hire_date | Hire date across ten years |
salary | Annual salary (USD) |
location | Office location |
remote | Fully remote? |
Salaries scale with department and seniority mix rather than being uniform noise, so salary-by-department charts show believable spreads.
Hire dates span a decade — good for tenure buckets, cohort views and date math.
Good for: HR analytics demos · Salary distribution and box-plot examples · Testing date/tenure calculations.
License: CC0 / public domain — use it anywhere, no attribution needed.
They're uniform within a plausible band (42k–210k USD) rather than modeled to title — good enough for charts and aggregation tests, not for compensation research.
CC0 (public domain). Use it in tutorials, tests, courses, screenshots and products — no attribution required.
Yes — every size is generated from a fixed seed, so the same file is byte-identical for everyone, forever. Reproducible tests, stable teaching materials.