One-time snapshot

OSHA Workplace Injury & Illness 2016–2023

Establishment-level OSHA records with reported injury counts and calculated rates.

Snapshot coverage

Records: 2,378,072 establishment-year rows

Coverage: 2016–2023

Format: CSV + Parquet

Package uploaded: 2026-03-31

Listing reviewed: 2026-09-19

The upload and review dates do not extend the source coverage. This is a dated snapshot; future updates are not included.

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CSV and Parquet files for the coverage described here. Review the limitations and sample before purchasing.

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Commercial license terms

View 1,000-row sample

New annual update subscriptions are unavailable. Existing customers can use their purchase download links or contact support.

Known limitations

zip3 is missing throughout this snapshot. Use other location fields with their documented limitations.
TCIR and DART contain extreme outliers, including maxima of 4,000,000 and 2,000,000. Review reported hours and flag implausible rates before comparing establishments.
These are establishment-year records, not individual injuries. The snapshot does not extend beyond 2023.
Year, establishment name, street address, city and state are not a guaranteed unique establishment key: that combination has 334 excess duplicate rows, and eight rows have missing key fields. Do not silently deduplicate or interpret these fields as a stable establishment identifier.

Files in this snapshot

Row counts are per table and should not be added as independent events. Expand a file to see its delivered Parquet field names and types.

osha_injuries.parquet — 2,378,072 rows · 26 fields

Field	Type
survey_year	int64
estab_name	string
street_address	string
city	string
state	string
zip3	null
naics_code	string
industry_description	string
size_class	string
annual_average_employees	int64
total_hours_worked	int64
no_injuries_illnesses	int64
total_deaths	int64
total_dafw_cases	int64
total_djtr_cases	int64
total_other_cases	int64
total_dafw_days	int64
total_djtr_days	int64
total_injuries	int64
total_skin_disorders	int64
total_resp_conditions	int64
total_poisonings	int64
total_hearing_loss	int64
total_other_illnesses	int64
tcir_rate	double
dart_rate	double

Inspect the public CSV

import pandas as pd

df = pd.read_csv(
    "https://huggingface.co/datasets/claritystorm/osha-workplace-injuries/resolve/main/sample_1000.csv"
)
print(df.shape)
print(df.columns.tolist())
print(df.head())

This CSV is a sample, not the full package. It does not establish complete historical coverage or represent every field’s missingness. License details are on the Hugging Face card.

Source: government source portal · Dataset changelog