---
license: cc-by-4.0
language:
  - en
pretty_name: Public Company Federal Compliance
size_categories:
  - 10K<n<100K
tags:
  - federal-enforcement
  - public-companies
  - sec-edgar
  - esg
  - workplace-compliance
  - parent-financials
homepage: https://www.fastdol.com/datasets/public-company-federal-compliance
---

**Public Company Federal Compliance**

This is a mirror. Canonical home: https://www.fastdol.com/datasets/public-company-federal-compliance

License: CC BY 4.0
Version DOI: [10.5281/zenodo.20031894](https://doi.org/10.5281/zenodo.20031894)
Concept DOI: [10.5281/zenodo.20031893](https://doi.org/10.5281/zenodo.20031893)
Download CSV: https://www.fastdol.com/datasets/public-company-federal-compliance/data.csv

Visit the [canonical page](https://www.fastdol.com/datasets/public-company-federal-compliance) for the full schema, methodology, BibTeX citation, and most recent version.

---

# Public Company Federal Compliance Records

US workplace enforcement records joined to SEC parent-company financials for 42,302 establishments across 714 publicly traded companies.

## What this dataset is

This dataset joins federal workplace enforcement records with SEC parent-company financial data for 42,302 US establishments operated by 714 publicly traded companies. Each row is one establishment with its parent company's financial context attached.

The joining is the point. OSHA inspection records, WHD wage cases, NLRB labor relations filings, and EPA environmental compliance are each available separately. SEC financial data is available separately. Joining them at the establishment level — with parent-company rollup applied — surfaces patterns that single-source searches miss.

Source: [fastdol.com](https://fastdol.com).

## What's in the data

- **Establishment identity**: name, city, state, ZIP, NAICS classification
- **Parent identity**: parent name, SEC CIK, ticker
- **OSHA**: inspections, violations, penalties, fatalities, hospitalizations, severe violator program flag, inspection-trigger breakdown
- **WHD**: cases, total back wages, employees affected
- **NLRB**: total cases, ULP cases, representation cases
- **EPA**: inspections, formal actions, non-compliance quarters, penalties, compliance status
- **Parent financials (SEC)**: revenue, net income, total assets, facts-as-of date
- **FastDOL artifacts**: risk tier (LOW / MEDIUM / ELEVATED / HIGH), risk score, agency violation count, peer percentile
- **Debarment**: SAM.gov exclusion flag

## Findings to explore

**NLRB concentration in utilities.** Edison International runs 89.2 NLRB cases per establishment across 115 locations. PG&E runs 84.6 across 237 locations. Major utilities cluster at 56–89 NLRB cases per establishment, far above any other sector represented in the data.

**UPS and labor disputes.** United Parcel Service has 149,690 NLRB cases across 1,586 establishments — the highest absolute count in the dataset by a wide margin.

**Fatality density vs absolute count.** Walmart has the most absolute OSHA fatalities (143). Tyson Foods has 117 fatalities across only 421 establishments — substantially higher per-establishment fatality density than any other major public company in the dataset.

**Restaurant chains skew toward wage cases.** McDonald's has 1,249 WHD cases against 330 OSHA violations. Yum Brands and Restaurant Brands International show similar profiles. Wage enforcement, not workplace safety, is the dominant federal enforcement axis for QSR.

**Risk distribution.** 239 establishments are flagged HIGH risk and 2,041 ELEVATED. The remaining 39,022 are LOW or MEDIUM. The HIGH/ELEVATED subset (5.4% of the data) is where most cross-agency patterns concentrate.

**Public-company debarments.** 30 establishments in the dataset have public-company parents AND active SAM.gov federal contracting exclusions.

## Suggested use cases

- ESG analysis of public-company workplace enforcement records
- Financial research correlating compliance footprint with parent revenue or assets
- Workers' comp and casualty underwriting for public-company exposures
- ML feature engineering using risk scores and parent financials
- Investigative journalism on public-company labor and safety records
- Academic research on cross-agency enforcement patterns

## Loading the data

```python
import pandas as pd
df = pd.read_csv('public_companies_federal_compliance.csv',
                 dtype={'naics_code': str})
```

## Methodology

Federal enforcement data aggregated from OSHA IMIS, WHD WHISARD, NLRB case database, EPA ECHO, and SAM.gov. SEC parent linkage via CIK matching. Entity resolution uses normalized employer name, state, and ZIP. Parent-company rollup uses a curated seed table augmented with SEC CIK matches.

970 unique parent legal-name variants correspond to 714 unique SEC CIKs. Some parents operate under multiple legal names that share a single SEC filer; cite the 714 number for unique entities.

Counts reflect what federal agencies investigated and recorded; reporting practices vary by operator and industry.

Findings reported descriptively. Aggregate analysis of public federal enforcement data; not a statement about any specific employer's current operations or future risk. Not legal, financial, or underwriting advice.

## About FastDOL

FastDOL aggregates federal enforcement records from 15 US agencies into queryable employer profiles with entity resolution.

- **Source**: [fastdol.com](https://fastdol.com)
- **Methodology**: [fastdol.com/methodology](https://fastdol.com/methodology)
- **API**: [fastdol.com/docs](https://fastdol.com/docs) — free tier available
- **Mirror on Kaggle**: [Public Company Federal Compliance Records](https://www.kaggle.com/datasets/benturneroffice365/public-company-federal-compliance-record)

## Citation

```
FastDOL (2026), Public Company Federal Compliance Records, fastdol.com
```