Human Resources
18 columns
200 rows
8 formats

Workplace Diversity Metrics Dataset

This dataset provides comprehensive, employee-level workplace diversity metrics, including gender, ethnicity, disability status, and employment details across departments and locations. It enables HR teams and researchers to benchmark diversity, monitor compliance, and drive data-driven DEI initiatives. The flat structure supports easy integration and analysis for reporting and strategic planning.

last updated 5 Sept 2025
by GoMask

The brief that made it

Benchmarking workforce diversity across departments and locations

Sample rows

preview · 8 of 200 rows · all 18 columns

employee_idstring	disability_statusstring	is_part_of_minority_groupboolean	location_citystring	first_namestring	last_namestring	date_of_birthdate	genderstring	ethnicitystring	job_titlestring	departmentstring	hire_datedate	employment_statusstring	location_statestring	location_countrystring	manager_idstring	salary_bandstring	last_promotion_datedate
EMP0001	no	true	San Francisco	Jessica	Nguyen	1992-07-15	female	asian	Software Engineer	Engineering	2018-05-01	active	CA	USA	EMP0005	E3	2021-03-10
EMP0002	no	true	Miami	Samuel	Brown	1988-01-22	male	black or african american	Customer Service Specialist	Customer Service	2019-08-19	active	FL	USA	EMP0016	C2	blank
EMP0003	no	true	Toronto	Ava	Singh	1997-02-11	female	asian	Junior Designer	Design	2022-06-04	active	ON	Canada	EMP0021	D1	blank
EMP0004	no	true	Chicago	Luis	Martinez	1990-12-05	male	hispanic or latino	Finance Analyst	Finance	2017-11-12	active	IL	USA	EMP0025	F3	2020-09-15
EMP0005	prefer not to say	true	San Francisco	Helen	Zhao	1971-09-18	female	asian	Engineering Manager	Engineering	2004-03-21	active	CA	USA	blank	E7	2017-07-11
EMP0006	no	false	Detroit	James	Thompson	1956-06-03	male	white	Director of Operations	Operations	1983-09-10	retired	MI	USA	blank	O1	2010-05-20
EMP0007	no	false	New York	Emily	Johnson	1995-04-26	female	white	Marketing Coordinator	Marketing	2021-01-15	active	NY	USA	EMP0012	M2	blank
EMP0008	no	true	London	Chloe	Smith	1982-08-14	female	multiracial	Senior Product Manager	Product	2007-02-17	active	London	UK	EMP0032	P5	2019-04-01
EMP0009	no	true	Berlin	Mohamed	Khalil	1978-11-29	male	middle eastern	Quality Advisor	Quality	2002-06-15	active	Berlin	Germany	blank	Q6	2015-05-25
EMP0010	no	false	Toronto	Aiden	Cooper	1999-05-18	male	white	Junior Analyst	Finance	2023-03-09	active	ON	Canada	EMP0025	F2	blank
EMP0011	no	true	London	Priya	Patel	1984-10-22	female	asian	Senior Designer	Design	2011-08-25	active	London	UK	EMP0021	D4	2017-09-29
EMP0012	prefer not to say	true	Madrid	David	Garcia	1979-03-13	male	hispanic or latino	Marketing Director	Marketing	2005-07-18	active	Madrid	Spain	blank	M5	2016-02-04
EMP0013	no	true	San Francisco	Sofia	Lopez	1996-09-25	female	hispanic or latino	Product Coordinator	Product	2021-10-11	active	CA	USA	EMP0032	P2	blank
EMP0014	no	true	Houston	Marcus	Taylor	1975-05-06	male	black or african american	Facilities Manager	Facilities	2000-11-20	active	TX	USA	blank	F5	2014-06-12
EMP0015	no	true	San Francisco	Zoe	Chen	1987-03-29	female	asian	Engineer	Engineering	2013-12-07	active	CA	USA	EMP0005	E5	2019-10-20
EMP0016	yes	true	Miami	Olivia	Brooks	1981-01-19	female	multiracial	Customer Service Manager	Customer Service	2008-04-14	active	FL	USA	blank	C5	2015-07-08
EMP0017	no	false	Berlin	Benjamin	Evans	1993-06-10	male	white	Quality Analyst	Quality	2020-02-01	active	Berlin	Germany	EMP0009	Q2	blank
EMP0018	no	true	Toronto	Isabella	Lee	1998-12-30	female	asian	Design Specialist	Design	2021-07-13	active	ON	Canada	EMP0021	D2	blank
EMP0019	no	false	Chicago	Lucas	White	1980-11-11	male	white	Finance Manager	Finance	2007-09-08	active	IL	USA	blank	F6	2015-11-18
EMP0020	prefer not to say	true	Madrid	Ella	Ramirez	1994-08-23	female	hispanic or latino	Marketing Specialist	Marketing	2020-04-21	active	Madrid	Spain	EMP0012	M3	blank

What the 200 rows show

from the 200-row sample

73%is_part_of_minority_group = true
3employment statuses
4genders
8ethnicities
8location countries
11departments

disability_status200 rows by value

location_city200 rows · top 10 of 31 values

Toronto24
San Francisco21
London16
Berlin16
Miami14
Chicago11
Madrid10
Detroit9
Sydney9
Houston6

18 columns by typefrom the column list below

string 14
date 3
boolean 1

Columns

18 columns in three groups

blueprint · 18 columns
column	type	description	example
Text 14 columns
`employee_id`	string	Unique identifier for each employeeunique	EMP0001
`first_name`	string	Employee's first name	Jessica
`last_name`	string	Employee's last name	Nguyen
`gender`	string	Employee's self-identified gendermale · female · non-binary · prefer not to say · other	female
`ethnicity`	string	Employee's self-identified ethnicity10 values	asian
`disability_status`	string	Employee's self-reported disability statusyes · no · prefer not to say	no
`job_title`	string	Employee's job title	Software Engineer
`department`	string	Department where the employee works11 departments	Engineering
`employment_status`	string	Current employment status of the employeeactive · terminated · on leave · retired	active
`location_city`	string	City where the employee is based	San Francisco
`location_state`	string	State or province where the employee is based	CA
`location_country`	string	Country where the employee is based8 countries	USA
`manager_id`	string	Unique identifier for the employee's manageroptional	EMP0005
`salary_band`	string	Salary band or grade for the employeeoptional	E3
Dates and times 3 columns
`date_of_birth`	date	Employee's date of birth	1992-07-15
`hire_date`	date	Date the employee was hired	2018-05-01
`last_promotion_date`	date	Date of the employee's most recent promotionoptional	2021-03-10
True or false 1 column
`is_part_of_minority_group`	boolean	Indicates if the employee is part of a minority group (based on ethnicity, gender, or disability status)optional	true

Use it for

A human resources dashboard
The is_part_of_minority_group rate, is_part_of_minority_group by disability_status and a breakdown of location_city. Excel, Power BI or Tableau.
Why do 146 of 200 rows have is_part_of_minority_group = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Employees200
EMP0001no
EMP0002no
EMP0006no
A software demo
Believable employees with first_name, last_name and date_of_birth to fill a screen in front of a buyer.

This dataset200 rows18 columns

Yours1,000 rows18 columnslocation_city: UK only

blueprint · workplace-diversity-metrics-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Include at least three diversity dimensions
Report distribution per department
Update quarterly
Exclude direct identifiers
Flag underrepresented groups

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: workplace-diversity-metrics-dataset

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

A human resources dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Human Resources

What should your data show?