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29 CFR 1910 / 1926
OSHA DATA · LIVE
Regulatory Standard
NAICS Code (optional)
Task Description
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Exposure Factors (APN)
Workers Exposed
Task Frequency
Exposure Duration
Environment
Risk scores are derived from OSHA enforcement data. Always apply professional judgment. Calibrated Risk does not replace a qualified safety professional.
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Enter a task description and click Analyze to generate a data-backed JHA with risk scores.
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Parsing task — identifying work activities
Mapping hazards to CFR standards
Querying OSHA violation & citation data
Computing severity from injury records
Assigning risk levels and calculating priority score
Generating hierarchy-of-controls recommendations
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Severity & Probability
For each hazard, Claude assigns a severity and probability code from the task description. These two codes are the inputs to the Risk Level lookup below.
Severity (I–IV)
How bad the worst realistic outcome is if the hazard occurs.
| I | Catastrophic — fatality or permanent total disability |
|---|---|
| II | Critical — permanent partial disability, hospitalization > 3 months |
| III | Significant — recordable injury, hospitalization < 3 months |
| IV | Minor — first aid only |
Probability (A–D)
How likely the hazard is to occur given the task as described.
| A | Frequent — occurs often / continuous exposure |
|---|---|
| B | Likely — will probably occur if not corrected |
| C | Occasional — possible to occur |
| D | Rarely — unlikely to occur |
Risk Level (1–5)
A standard risk-assessment-code (RAC) matrix maps Probability × Severity to a single Risk Level. 1 is worst (Critical), 5 is best (Negligible). Hazards are sorted by this value, then by Priority Score, so the most urgent items surface first.
| Sev. I | Sev. II | Sev. III | Sev. IV | |
|---|---|---|---|---|
| Prob. A | 1 Critical | 1 Critical | 2 High | 3 Medium |
| Prob. B | 1 Critical | 2 High | 3 Medium | 4 Low |
| Prob. C | 2 High | 3 Medium | 4 Low | 5 Negligible |
| Prob. D | 3 Medium | 4 Low | 5 Negligible | 5 Negligible |
Priority Score (APN)
A relative ranking number for triage across many hazards — not a probability. Higher means fix it sooner.
Priority Score = (6 − Risk Level) × Workers Exposed × Frequency Multiplier × Duration Multiplier
| Frequency multiplier | |
|---|---|
| Daily | ×4 |
| Weekly | ×3 |
| Monthly | ×2 |
| One-time | ×1 |
| Duration multiplier | |
|---|---|
| Continuous | ×3 |
| Intermittent | ×2 |
| Brief (<30 min) | ×1 |
OSHA enforcement statistics
These figures come directly from OSHA's public enforcement database (DuckDB), filtered to the matched NAICS industry — not model estimates.
Citation Rate
Of all inspections in the matched industry, the percentage that resulted in a citation under the specific CFR standard tied to this hazard: citations under that standard ÷ total inspections in the industry.
Fatality Rate / Hospitalization Rate
Of OSHA-investigated injury records in the matched industry, the share classified as a fatality or hospitalization (vs. non-hospitalized or unknown severity).
Data Confidence
Reflects how many underlying records the rate above is based on — a rate from 8 inspections is much less reliable than one from 8,000. If an industry match has too few records (< 30), the query automatically widens to a broader NAICS prefix, or the full dataset, and flags that fallback.
| Records (n) | Confidence |
|---|---|
| 0 | 0% |
| 1–9 | 20% |
| 10–49 | 40% |
| 50–199 | 60% |
| 200–999 | 75% |
| 1,000–4,999 | 87% |
| 5,000+ | 95% |
Residual Risk
The expected Risk Level after the recommended controls (hierarchy of controls: elimination → substitution → engineering → administrative → PPE) are put in place, as assessed by Claude alongside the controls themselves.
About the dataset
Live stats from the underlying OSHA enforcement database, synced nightly from the U.S. Department of Labor.
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