WHD Wage Theft Enforcement Actions by Employer
Authors/Creators
Description
WHD Wage Theft Enforcement Actions by Employer What does federal wage theft enforcement actually look like in aggregate? This dataset answers that question with 323,514 US employers, $4.6 billion in total back wages owed, and 5.2 million affected employees from the Department of Labor's Wage and Hour Division (WHD) enforcement records. What's in the data Each row represents a single US employer with one or more WHD enforcement cases. Fields include: employer identity (name, city, state, ZIP, NAICS, parent company where known), WHD enforcement metrics (case count, total back wages owed, employees violated, back wages per employee), and a cross-reference to OSHA enforcement where applicable. Why this dataset is unique Most public WHD data is case-level, which makes it hard to see the employer-level picture. This dataset aggregates 350,829 individual enforcement cases into a single row per employer, making it trivial to identify repeat offenders, calculate cumulative back wages, and filter by geography or industry. One finding to chew on: 20,880 employers have 2 or more WHD cases. These repeat offenders account for $1.0 billion — roughly 22% of all back wages in the dataset. Wage theft enforcement is not evenly distributed across employers.
Files
wage_theft_whd_enforcement_DOL.csv
Files
(22.1 MB)
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md5:fd0f1094069ee6502a8b3a8320190fc1
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Additional details
Related works
- Is described by
- Dataset: https://www.fastdol.com/datasets/whd-wage-theft-enforcement-actions-by-employer (URL)
- Is identical to
- Dataset: https://huggingface.co/datasets/FastDOLz/WHD_Wage_Theft_Enforcement_Actions_by_Employer (URL)
- Dataset: https://www.kaggle.com/datasets/benturneroffice365/whd-wage-theft-enforcement-actions-by-employer (URL)