HeadcountLabs/pay-transparency-jobs

Jobs with Posted Pay: Pay Transparency Snapshot

Job postings where the employer published a pay range. 3,145,962 jobs, one row per job, from a snapshot taken on 2026-10-19 of the jobs Headcount Labs reads from employers' own hiring systems. 37.6% of the 8,367,419 jobs with a title in the snapshot match.

Source: Headcount Labs (headcountlabs.com), licensed under ODbL 1.0. Live data is at headcountlabs.com.

Load it

from datasets import load_dataset

ds = load_dataset("HeadcountLabs/pay-transparency-jobs", split="train")
print(ds.num_rows, ds[0]["title"], "|", ds[0]["employer_name"])

To read it without downloading everything, pass streaming=True to load_dataset.

Which jobs are included

A job is in this dataset when at least one of its postings has a published pay range with a minimum or maximum above zero. The numbers are the employer's own, as published. They are not converted between currencies and not scaled to a yearly figure, so read pay_currency and pay_interval with every row. Text such as an average hourly figure in a description is not treated as pay.

Each row is one job. Postings of the same opening on different sources are merged into one job, and posting_url links to an original listing. The job description text is not included. Pay, location and dates are copied as the employer published them.

Numbers in this snapshot

Every figure on this card is counted from the Parquet files in data/ of this repository, on 2026-10-19.

Measure	Value
Jobs (rows)	3,145,962
Rows marked current	3,145,181 (100.0%)
Distinct employer names	118,944
Posted between	2002-10-27 and 2027-09-22
Posted in the 30 days before the snapshot	1,294,067
Rows with a published pay range	3,145,962 (100.0%)
Rows with a location	2,988,582 (95.0%)

Work arrangement: 2.1% of the rows state remote, 2.7% hybrid, 14.7% in_person and 80.4% state no arrangement.

3,145,962 rows (100.0%) carry a published pay range; 2,325,523 of them are in USD.

Top employers:

#	Employer	Jobs	Share
1	Allied Universal	21,179	0.7%
2	Walgreens	17,111	0.5%
3	H&R Block	16,811	0.5%
4	WALGREENS	16,646	0.5%
5	AMN Healthcare	16,362	0.5%
6	Spencer Gifts - Spirit Halloween	14,799	0.5%
7	PetSmart	10,730	0.3%
8	Target	10,053	0.3%
9	Acosta Group	9,736	0.3%
10	Dollar General Corporation	9,344	0.3%
11	CVS Health	8,077	0.3%
12	Insight Global	7,463	0.2%
13	Northwest Exterminating	7,401	0.2%
14	Target Corporation	7,311	0.2%
15	Genesis Administrative Services	6,469	0.2%

Top locations (first listed location):

#	Location	Jobs	Share
1	New York, US-NY	45,863	1.5%
2	Chicago, US-IL	24,572	0.8%
3	Los Angeles, US-CA	19,833	0.6%
4	San Francisco, US-CA	18,393	0.6%
5	Москва, Город Москва	17,209	0.5%
6	Boston, US-MA	15,539	0.5%
7	San Diego, US-CA	14,001	0.4%
8	Санкт-Петербург, Город Санкт-Петербург	13,201	0.4%
9	Washington, US-DC	13,032	0.4%
10	Houston, US-TX	12,939	0.4%

Top countries:

#	Country	Jobs	Share
1	US	2,240,416	71.2%
2	RU	496,866	15.8%
3	CA	71,274	2.3%
4	BR	43,751	1.4%
5	FR	33,100	1.1%
6	GB	21,999	0.7%
7	DE	14,314	0.5%
8	NL	12,506	0.4%
9	JP	10,520	0.3%
10	IN	6,496	0.2%

Most common employment types:

employment_type	rows
Full time	470,813
Full Time	243,075
Полная занятость	242,143
Full-time	209,189
FULL_TIME	146,495
Part time	136,713
Full-Time	109,561
Part Time	94,331

Pay intervals (rows with published pay):

pay_interval	rows
hour	1,419,303
year	879,230
month	607,987
unknown	239,442

Fields

Column	Type	Meaning
job_id	string	Stable Headcount Labs job ID (UUID). The same ID is used in the main dataset.
title	string	Job title as the employer wrote it.
employer_name	string	Employer name as published.
company_id	string	Headcount Labs company ID when the employer is matched to a company record, else null.
work_arrangement	string	remote, hybrid or in_person when the posting states it, else null.
employment_type	string	Employment type as the source states it (free text, for example Full time, Internship). Null when not published.
currentness	string	current, uncertain or not_current: whether we have recent evidence that the job is still open at the snapshot.
location_country, location_region, location_city	string	First listed location. Country is an ISO code, region an ISO 3166-2 code such as US-TX.
location_count	int	Number of locations listed for the job.
locations_json	string (JSON)	All locations, each with a state and a value holding city, region, country and more.
pay_min, pay_max	double	Pay range as published, not converted. Null when the employer did not publish pay.
pay_currency, pay_interval	string	Currency (for example USD) and interval (hour, year, month, unknown) as published.
posted_at	string	Earliest posting date of the job, ISO 8601 UTC text.
job_first_seen_at, job_updated_at	string	When we first collected the job and when its record last changed.
posting_url	string	Link to an original listing of the job on the employer's site or board.
application_url	string	Link to apply, when published.
source_type, source_class	string	Kind of source the posting came from (for example an ATS name) and its class (ats, employer-site, government-exchange and others).
posting_count	int	Number of postings (listings on different sources) merged into the job.
has_description	int	1 when the source published a description. The description text is not in this dataset.

Source

The jobs are read from employers' public hiring systems: applicant tracking systems, company careers pages and public government job exchanges. Only postings whose source terms allow redistribution are included. Titles, employer names and pay are the employers' own words and numbers. This dataset is a cut of the full Headcount Labs snapshot (the full dataset is coming soon), built from the same export on 2026-10-19. It is a one-off snapshot and is not updated.

Related

• Full dataset: coming soon. Other public subsets: huggingface.co/HeadcountLabs
• Open jobs lists on GitHub, refreshed daily: pay-transparency-jobs · high-paying-software-jobs · registered-nurse-jobs
• Jobs API: https://headcountlabs.com/docs/
• MCP server for AI assistants: https://headcountlabs.com/mcp/
• Headcount Labs: https://headcountlabs.com

License

Open Database License (ODbL) 1.0. Our own values in it are under the Database Contents License (DbCL) 1.0. Source: Headcount Labs (headcountlabs.com), licensed under ODbL 1.0. Job description text is the employer's own text and is not licensed by us. Takedown requests: https://headcountlabs.com/remove/. Location data includes data from OpenStreetMap contributors (ODbL) and Overture Maps.