Human Resources
21 columns
80 rows
8 formats

Workforce Diversity Metrics

This dataset provides comprehensive, employee-level workforce diversity metrics, including demographic details, job roles, participation in inclusion programs, and career progression indicators. It enables HR teams to monitor representation, identify diversity gaps, and evaluate the effectiveness of targeted initiatives across departments and locations. The dataset supports compliance reporting, strategic planning, and in-depth diversity and inclusion analytics.

last updated 12 Jul 2025
by GoMask

The brief that made it

Diversity and inclusion gap analysis across departments and locations

Sample rows

preview · 8 of 80 rows · all 21 columns

employee_idstring	disability_statusstring	participated_in_inclusion_programboolean	location_statestring	first_namestring	last_namestring	date_of_birthdate	genderstring	ethnicitystring	veteran_statusstring	job_titlestring	departmentstring	location_citystring	location_countrystring	hire_datedate	employment_statusstring	manager_idstring	salary_bandstring	inclusion_program_namestring	promotion_last_2_yearsboolean	exit_reasonstring
E0001	no	true	IL	Aisha	Patel	1988-11-05	female	Asian	no	HR Manager	Human Resources	Chicago	USA	2018-05-15	active	E0012	C3	Women in Leadership	false	blank
E0002	no	true	TX	Derek	Johnson	1991-01-27	male	Black or African American	yes	Software Engineer	Engineering	Austin	USA	2020-09-10	active	E0004	E2	Veteran Mentorship	true	blank
E0003	no	false	CA	Maria	Santos	1975-03-19	female	Hispanic or Latino	no	Chief Operating Officer	Executive	San Francisco	USA	2012-07-01	active	blank	F5	blank	false	blank
E0004	prefer not to say	false	WA	Jin	Lee	1983-08-14	male	Asian	no	Engineering Manager	Engineering	Seattle	USA	2016-02-23	active	E0003	D4	blank	true	blank
E0005	no	true	ON	Emily	Nguyen	1994-06-11	female	Asian	no	UX Designer	Design	Toronto	Canada	2021-03-15	active	E0011	C2	Accessibility Workshop	false	blank
E0006	no	false	MA	Samuel	Kim	1980-11-21	male	Asian	no	Product Manager	Product	Boston	USA	2017-09-19	active	E0013	D3	blank	true	blank
E0007	no	false	blank	Priya	Singh	1990-12-02	female	Asian	no	Business Analyst	Operations	London	UK	2019-05-22	active	E0010	B3	blank	false	blank
E0008	yes	true	blank	Alex	Williams	1985-07-08	non-binary	White	no	QA Engineer	Quality Assurance	Manchester	UK	2015-11-11	active	E0015	B2	LGBTQ+ Ally Training	false	blank
E0009	no	true	TX	Carmen	Gomez	1972-04-29	female	Hispanic or Latino	no	Finance Director	Finance	Dallas	USA	2010-01-18	active	E0003	E4	Women in Finance	false	blank
E0010	no	false	blank	Michael	Brown	1992-10-17	male	Black or African American	no	Operations Lead	Operations	London	UK	2018-12-03	active	E0016	C4	blank	true	blank
E0011	no	true	QC	Sophie	Martin	1995-05-03	female	White	no	Design Lead	Design	Montreal	Canada	2019-10-27	active	E0012	D1	Accessibility Workshop	false	blank
E0012	no	false	IL	Liam	O'Connor	1981-02-22	male	White	no	Chief Human Resources Officer	Executive	Chicago	USA	2013-04-14	active	blank	F4	blank	false	blank
E0013	no	true	MA	Grace	Chen	1987-10-13	female	Asian	no	Head of Product	Product	Boston	USA	2015-07-16	active	E0003	E2	Women in Leadership	true	blank
E0014	no	false	TX	Ryan	Smith	1990-09-24	male	White	yes	Account Manager	Sales	Houston	USA	2018-07-30	active	E0020	C1	blank	false	blank
E0015	no	false	blank	Olivia	Jones	1984-04-06	female	Black or African American	no	QA Lead	Quality Assurance	Birmingham	UK	2016-10-16	active	E0016	C3	blank	true	blank
E0016	no	true	blank	Emma	White	1978-03-12	female	White	no	Operations Director	Operations	London	UK	2012-05-21	active	E0003	E2	Women in Leadership	false	blank
E0017	no	false	TX	Jacob	Allen	1986-08-19	male	White	no	Sales Representative	Sales	Dallas	USA	2020-01-10	active	E0020	B1	blank	true	blank
E0018	no	false	CDMX	Manuel	Garcia	1979-05-15	male	Hispanic or Latino	no	Finance Analyst	Finance	Mexico City	Mexico	2014-03-28	active	E0009	C2	blank	false	blank
E0019	yes	true	ON	Linda	Ng	1982-07-22	female	Asian	no	HR Specialist	Human Resources	Toronto	Canada	2015-09-14	on leave	E0001	B4	Disability Awareness	false	blank
E0020	no	false	NY	Ahmed	Hassan	1987-12-11	male	Middle Eastern	no	Sales Manager	Sales	New York	USA	2018-01-07	active	E0003	D2	blank	true	blank

What the 80 rows show

from the 80-row sample

41%participated_in_inclusion_program = true
3veteran statuses
4genders
4employment statuses
5ethnicities
14departments

disability_status80 rows by value

location_state38 rows with a value · 42 left blank

TX6
CA6
ON5
CDMX4
IL3
MA3
QC2
NY2
BC2
FL2

21 columns by typefrom the column list below

string 17
date 2
boolean 2

Columns

21 columns in three groups

blueprint · 21 columns
column	type	description	example
Text 17 columns
`employee_id`	string	Unique identifier for each employee in the workforce.unique	E0001
`first_name`	string	Employee's first name.	Aisha
`last_name`	string	Employee's last name.	Patel
`gender`	string	Employee's self-identified gender.male · female · non-binary · prefer not to say · other	female
`ethnicity`	string	Employee's self-identified ethnicity or race.5 ethnicities	Asian
`disability_status`	string	Employee's self-reported disability status.yes · no · prefer not to say	no
`veteran_status`	string	Employee's self-reported veteran status.yes · no · prefer not to say	no
`job_title`	string	Employee's current job title.	HR Manager
`department`	string	Department or business unit the employee belongs to.	Human Resources
`location_city`	string	City where the employee is based.optional	Chicago
`location_state`	string	State or province where the employee is based.optional	IL
`location_country`	string	Country where the employee is based.	USA
`employment_status`	string	Current employment status of the employee.active · terminated · on leave · retired	active
`manager_id`	string	Employee ID of the employee's direct manager.optional	E0012
`salary_band`	string	Salary band or grade for the employee's position.optional	C3
`inclusion_program_name`	string	Name of the most recent inclusion or diversity program the employee participated in.optional	Women in Leadership
`exit_reason`	string	Reason for leaving the organization (if applicable).4 reasons · optional	Performance
Dates and times 2 columns
`date_of_birth`	date	Employee's date of birth.	1988-11-05
`hire_date`	date	Date the employee was hired.	2018-05-15
True or false 2 columns
`participated_in_inclusion_program`	boolean	Whether the employee has participated in a diversity or inclusion initiative.optional	true
`promotion_last_2_years`	boolean	Indicates if the employee has been promoted in the last 2 years.optional	false

Use it for

A human resources dashboard
The participated_in_inclusion_program rate, participated_in_inclusion_program by disability_status and a breakdown of location_state. Excel, Power BI or Tableau.
Why do 33 of 80 rows have participated_in_inclusion_program = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 80 rows.
Employees80
E0001no
E0002no
E0003no
A software demo
Believable employees with first_name, last_name and date_of_birth to fill a screen in front of a buyer.

This dataset80 rows21 columns

Yours1,000 rows21 columnslocation_city: UK only

blueprint · workforce-diversity-metrics

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 21 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

Employee demographic data anonymized
Department must have a diversity report
New hires diversity tracked quarterly
Departments <30% representation flagged

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: workforce-diversity-metrics

What should your data show?

No signup. No card.

Sample rows

What the 80 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?