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MSHA enforcement citations (S&S, penalties, contested)
Every citation, order, and safeguard issued by an MSHA inspector since 2000 — 3,073,443 records, of which 812,125 are flagged Significant & Substantial (S&S). Total proposed penalties: $1.81 billion. Names the controller, violator (operator or contractor), mine, the exact rule cited (e.g. 30 CFR 75.400 — accumulation of combustible materials), likelihood of injury, negligence level, whether the operator contested, and the dollar amount actually paid vs. proposed. The S&S flag is the single best leading indicator of fatal-accident risk; the Upper Big Branch disaster was preceded by hundreds of contested S&S citations Massey didn't correct.
Live API
This dataset is served via a live REST API at api.ai-analytics.org. The card you're reading exists so HuggingFace's index can route AI agents + researchers to the canonical source.
- API endpoint:
https://api.ai-analytics.org/api/v1/msha/violations/recent - Dataset landing page: https://api.ai-analytics.org/datasets/msha-violations
- DataCatalog (JSON-LD): https://api.ai-analytics.org/.well-known/dataset.json
- DCAT-US (data.gov-compatible): https://api.ai-analytics.org/data.json
Quick start
# Recent records (JSON)
curl 'https://api.ai-analytics.org/api/v1/msha/violations/recent?limit=10'
# Browse on the web
open 'https://api.ai-analytics.org/datasets/msha-violations'
MCP (Model Context Protocol)
This dataset is also accessible via MCP at https://api.ai-analytics.org/mcp — Claude, ChatGPT, and other MCP-compatible agents can call it directly.
Source
- Agency: U.S. Mine Safety and Health Administration
- Primary source: https://arlweb.msha.gov/OpenGovernmentData/OGIMSHA.asp
- License: CC0 1.0 Universal (derived data). Underlying federal works are US public domain under 5 USC 105 / 17 USC 105.
- Update cadence: Per agency (most refresh daily via Cloudflare Cron Trigger)
Keywords
MSHA, mine violations, S&S citation, Significant and Substantial, 30 CFR, mine safety enforcement, penalty, Section 104, contested citation
Citation
@misc{ai_analytics_msha_violations_2026,
title = {{name}},
author = {AI Analytics},
year = {2026},
url = {https://api.ai-analytics.org/datasets/msha-violations},
note = {Derived from U.S. Mine Safety and Health Administration. License: CC0 1.0.}
}
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Maintained by AI Analytics. Data is CC0; please cite the upstream agency.
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