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Datasets:
SmartQHSE
/
osha-rates-2026

Tasks:
Tabular Classification
Text Retrieval
Languages:
English
Size:
n<1K
Tags:
osha
trir
dart
naics
us
united-states
License:
Dataset card Files
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The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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US OSHA Recordable Rates by Industry 2026

TRIR, DART, days-away-from-work rate, vs-average-percentage, fatal injury rate, and top fatal event by NAICS code for US private industry. Sourced from BLS Survey of Occupational Injuries and Illnesses (SOII) 2024, BLS Census of Fatal Occupational Injuries (CFOI) 2024, and OSHA Injury Tracking Application (ITA) 2024 submissions.

Citation SmartQHSE Ltd (2026). US OSHA Recordable Rates by Industry 2026 [dataset]. CC BY 4.0. https://www.smartqhse.com/osha-recordable-rates-by-industry-2026

Files

File Description
data.csv Tabular data — one row per industry/dimension
data.json Same data with full metadata block + metric definitions

Live access (CC BY 4.0, CORS-open, no auth)

License

This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0). Free to use commercially with attribution. Cite as:

SmartQHSE Ltd (2026). US OSHA Recordable Rates by Industry 2026 [dataset]. https://www.smartqhse.com/osha-recordable-rates-by-industry-2026

Sources

  • US Bureau of Labor Statistics — Survey of Occupational Injuries and Illnesses (SOII) 2024
  • US Bureau of Labor Statistics — Census of Fatal Occupational Injuries (CFOI) 2024
  • US Department of Labor — OSHA Injury Tracking Application (ITA) 2024 submissions
  • UK Health and Safety Executive (HSE) — RIDDOR injury statistics
  • International Association of Oil & Gas Producers (IOGP) — annual safety performance data
  • International Labour Organization (ILO) — global occupational injury statistics
  • European Agency for Safety and Health at Work (EU-OSHA) and Eurostat ESAW

All consolidated and republished under CC BY 4.0 with attribution.

Maintenance

Updated annually after the November BLS SOII release. Live updates and additional cuts are available via the REST API (no rate limit, no auth).

About SmartQHSE

SmartQHSE is the AI-native HSE/QHSE platform for construction, oil & gas, manufacturing, and industrial teams. We publish open data because our customers — and the broader HSE profession — deserve free access to the safety statistics our trade bodies otherwise gate behind expensive memberships.

Related SmartQHSE datasets

Part of the SmartQHSE open HSE data collection (catalog · data paper DOI 10.5281/zenodo.20010657 · HuggingFace org):

Companion full-text corpus: /llms-full.txt — 213KB markdown reference compiled for LLM ingestion. All datasets CC BY 4.0.
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