Workforce data for academic research
Firm-level workforce data used in hundreds of published papers
Employment, hiring, pay, and career histories at 33.8 million companies, monthly from 2008. Cleaned, deduplicated, linked to Compustat and CRSP identifiers, and available through WRDS.
- Harvard
- MIT
- Stanford
- NYU
The data challenges behind firm-level research
01
Official statistics stop at the industry or state level, so firm-level questions stay out of reach.
02
Raw profile and posting data takes months of cleaning and entity matching before the first regression.
03
Referees ask how the sample was built, and a scraped dataset has no documented answer.
What changes for research with Revelio Labs data
Talk to an ExpertStart in weeks
Data arrives cleaned, deduplicated, and keyed to the identifiers in your existing panel.
Ask new questions
Track hiring, mobility, and pay inside firms, across 33.8 million companies, monthly from 2008.
Answer the referee
Cite a published methodology that explains sampling, reweighting, and validation against official data.
What you can measure
Employment
Headcount by occupation, seniority, and location for each firm, monthly from 2008.
Hiring
5.6 billion deduplicated job postings with salary, skills, and requirements.
Careers
Individual work and education histories, so you can follow people across firms, roles, and regions.
Pay and sentiment
Modeled salaries and structured employee reviews, comparable across firms.
Use cases
Labor economics
How did early-career hiring change in occupations with high exposure to AI?
Finance and accounting
Do shifts in a firm's workforce composition predict earnings or returns?
Management and strategy
Where do employees go after an acquisition, and what happens to the teams they leave?
Graduate outcomes
Where do a university's graduates work, and how do their careers compare with peer institutions?
200+
institutions use our data
33.8 million
companies with standard identifiers
2008
start of monthly firm-level history
How you get it
WRDS
Campus-wide access through Wharton Research Data Services. Ask your library or email research@reveliolabs.com.
Research projects
A one-time extract scoped to your sample and variables, at an academic price.
Revelio Terminal
Explore and download in the browser, from $1,250 per month, with a free trial.
Bulk data and API
Full datasets for labs and centers that run their own pipelines.
Built by researchers, for research
Talk to an ExpertOur methodology is public. The data dictionary documents sources, deduplication, entity resolution, standardization, and reweighting.
We reweight against the BLS in the US and the ILO elsewhere to correct for who appears online. Our monthly employment estimate tracks BLS payroll changes with a 0.77 correlation.
Our economists publish with the data. For example, NBER Working Paper 35546 with Nicholas Bloom on how professionals rewrite their job histories.
Frequently asked questions
Yes. Universities can license it through Wharton Research Data Services. Email research@reveliolabs.com to add it to your institution's subscription.
Yes. Company records carry CUSIP, GVKEY, ISIN, and ticker identifiers alongside our own company ID, with subsidiaries mapped to parents.
Coverage is strongest for professional roles and thinner for hourly work. We reweight by occupation and country against BLS and ILO benchmarks and document each step, so you can describe and test the sample in your paper.
Yes. Hundreds of published papers use our data.
Yes. Sample files for job postings, career histories, and sentiment are on the data dictionary.
Tell us the questions you want answered
Send us your research question and sample. One of our economists will tell you what the data can answer, and what it cannot.