masonmarker/osha-severe-injury-reports-enriched

OSHA Severe Injury Reports Enriched Dataset

This dataset packages OSHA Severe Injury Report records into a single analysis-ready dataframe covering January 1, 2015 through August 31, 2025.

Each row represents one OSHA severe injury report submitted under federal OSHA jurisdiction. The dataset preserves the underlying establishment, geography, NAICS, incident classification, and narrative fields while adding normalized dates, NAICS sector mapping, severity profile fields, inspection flags, narrative keyword flags, and source metadata that make the records easier to use for safety benchmarking, underwriting, supplier screening, workforce risk analysis, and operational research.

The source data comes from OSHA's official Severe Injury Dashboard download.

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Dataset Preview

incident_id	source_incident_id	establishment_id	event_date	incident_year	incident_month	incident_quarter	event_weekday	employer_name	employer_slug	address_1	address_2	city	city_slug	state	state_abbreviation	postal_code	latitude	longitude	primary_naics	naics_sector_code	naics_sector_name	workers_hospitalized_count	workers_amputated_count	workers_eye_loss_count	total_severe_injuries_reported	severity_profile	has_hospitalization	has_amputation	has_eye_loss	inspection_id	inspection_opened	final_narrative	narrative_length	nature_code	nature_title	part_of_body_code	part_of_body_title	event_code	event_title	source_code	source_title	secondary_source_code	secondary_source_title	federal_state_code	keyword_fall	keyword_vehicle	keyword_forklift	keyword_machine	keyword_electrical	keyword_fire_explosion	keyword_chemical	keyword_trench_excavation	keyword_caught_in	keyword_struck_by	keyword_confined_space	source_url	source_download_url	source_domain	last_collected_at
2025088697	2025088697	2343907	2025-08-31 00:00:00+00:00	2025	8	3	Sunday	Global Partners LP	global-partners-lp	5385 NY Rt 9H		LIVINGSTON	livingston	NEW YORK	NY	125410	42.14	-73.75	447110	44	Retail Trade	1	0	0	1	hospitalization_only	True	False	False		False	An employee was standing at the register and tripped over a power cord that was hanging down from a... [90 more chars]	190	124	Fractures	53	Ankle(s)	4312	Fall on same level due to slip or trip	6624	Other constructed surface	4613	Power cords, electrical cords, extension cords	1	True	False	False	False	False	False	False	False	False	False	False	https://www.osha.gov/severe-injury-reports	https://www.osha.gov/sites/default/files/January2015toAugust2025.zip	www.osha.gov	2026-05-31 00:18:17+00:00
2025088698	2025088698	2344178	2025-08-31 00:00:00+00:00	2025	8	3	Sunday	H-E-B	h-e-b	3502 Palmer Highway		TEXAS CITY	texas-city	TEXAS	TX	775900	29.39	-94.94	445110	44	Retail Trade	1	1	0	2	hospitalization_and_amputation	True	True	False	1849122.0	True	An employee was cutting a 15-pound piece of ribeye on a saw. The blade of the saw contacted the empl... [118 more chars]	218	1220	Amputations, avulsions, enucleations unspecified	4429	Other finger(s) n.e.c.	659	Struck by running powered equipment n.e.c.	3615	Butchering machinery	991	Secondary source not applicable	1	False	False	False	False	False	False	False	False	False	False	False	https://www.osha.gov/severe-injury-reports	https://www.osha.gov/sites/default/files/January2015toAugust2025.zip	www.osha.gov	2026-05-31 00:18:17+00:00
2025088700	2025088700	2342874	2025-08-31 00:00:00+00:00	2025	8	3	Sunday	Gulf Stream Marine - Care Terminal	gulf-stream-marine-care-terminal	15627 Jacinto Port Blvd	Houston	HOUSTON	houston	TEXAS	TX	770150	29.75	-95.13	488320	48	Transportation and Warehousing	1	0	0	1	hospitalization_only	True	False	False		False	An employee was driving a forklift. He fell off the machine during a turn, and one of its wheels bro... [38 more chars]	138	124	Fractures	540	Foot (feet), toe(s) unspecified	2732	Nonroadway noncollision fall or jump from and struck by moving vehicle	8621	Forklift, order picker, platform truck powered	991	Secondary source not applicable	1	True	True	True	True	False	False	False	False	False	False	False	https://www.osha.gov/severe-injury-reports	https://www.osha.gov/sites/default/files/January2015toAugust2025.zip	www.osha.gov	2026-05-31 00:18:17+00:00
2025088701	2025088701	2343059	2025-08-31 00:00:00+00:00	2025	8	3	Sunday	American Cast Iron Pipe Company	american-cast-iron-pipe-company	1501 31st Ave N		BIRMINGHAM	birmingham	ALABAMA	AL	352070	33.54	-86.83	331511	33	Manufacturing	1	0	0	1	hospitalization_only	True	False	False		False	An employee was performing maintenance/electrical work inside a substation, and used a ladder to acc... [181 more chars]	281	124	Fractures	3112	Rib(s), oblique area	4142	Other fall to lower level 6 to 30 feet	4615	Switchboards, panels, fuses	660	Ground, travel, and support surfaces unspecified	1	True	False	False	False	True	False	False	False	False	False	False	https://www.osha.gov/severe-injury-reports	https://www.osha.gov/sites/default/files/January2015toAugust2025.zip	www.osha.gov	2026-05-31 00:18:17+00:00
2025088703	2025088703	2349999	2025-08-31 00:00:00+00:00	2025	8	3	Sunday	McDonald's LLC of Ohio	mcdonald-s-llc-of-ohio	3157 Dayton Xenia Road		BEAVERCREEK	beavercreek	OHIO	OH	454340	39.72	-84.05	722513	72	Accommodation and Food Services	1	0	0	1	hospitalization_only	True	False	False		False	On August 31, 2025, an employee was using a paper towel to wipe down the surface around the perimete... [133 more chars]	233	1520	Thermal burns degree unspecified	4839	Wrist(s) and arm(s) n.e.c.	533	Contact with hot objects or substances	5221	Fats, oils, cooking greases	991	Secondary source not applicable	1	False	False	False	False	False	False	False	False	False	False	False	https://www.osha.gov/severe-injury-reports	https://www.osha.gov/sites/default/files/January2015toAugust2025.zip	www.osha.gov	2026-05-31 00:18:17+00:00

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Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

1. Purchase the dataset here:
   https://masonmarker.gumroad.com/l/osha-severe-injury-reports-enriched

2. Provide your Hugging Face username at checkout.

3. Return to this Hugging Face page and click:
   "Request Access"

4. Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

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Dataset Structure

Total rows: 103,750

Total columns: 60

Splits

• data: 103,750 rows

Data Files

• data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column	pandas_dtype	dataset_type	description
incident_id	string	integer-like string	Stored as text, but values appear to represent whole numbers. Stable unique record identifier derived from the OSHA source incident id and duplicate index when needed.
source_incident_id	int64	integer	Whole-number numeric column. Raw OSHA incident identifier from the source file before duplicate disambiguation.
establishment_id	Int64	integer	Whole-number numeric column. OSHA establishment identifier from the source file.
event_date	datetime64[ns, UTC]	datetime	Date or timestamp column. Date the severe injury incident occurred or was reported to have occurred.
incident_year	Int64	integer	Whole-number numeric column. Calendar year extracted from the event date.
incident_month	Int64	integer	Whole-number numeric column. Calendar month extracted from the event date.
incident_quarter	Int64	integer	Whole-number numeric column. Calendar quarter extracted from the event date.
event_weekday	string	string	Text column. Weekday name derived from the event date.
employer_name	string	string	Text column. Employer or establishment name listed in the OSHA report.
employer_slug	string	string	Text column. Normalized slug version of the employer name for easier grouping and joins.
address_1	string	string	Text column. Primary street address for the establishment.
address_2	string	string	Text column. Secondary street address line for the establishment when available.
city	string	string	Text column. City listed for the establishment in the OSHA report.
city_slug	string	string	Text column. Normalized slug version of the city for easier grouping and joins.
state	string	string	Text column. State or territory name listed for the establishment.
state_abbreviation	string	string	Text column. Two-letter state or territory abbreviation derived from the state field when recognized.
postal_code	string	integer-like string	Stored as text, but values appear to represent whole numbers. Postal code associated with the establishment address when available.
latitude	float64	float	Decimal numeric column. Latitude provided in the OSHA source file for the establishment location.
longitude	float64	float	Decimal numeric column. Longitude provided in the OSHA source file for the establishment location.
primary_naics	string	integer-like string	Stored as text, but values appear to represent whole numbers. Primary NAICS industry code listed in the OSHA report.
naics_sector_code	string	integer-like string	Stored as text, but values appear to represent whole numbers. Two-digit NAICS sector code derived from the primary NAICS value when available.
naics_sector_name	string	string	Text column. Broad NAICS sector name derived from the primary NAICS value.
workers_hospitalized_count	Int64	integer	Whole-number numeric column. Number of workers reported as hospitalized in the incident.
workers_amputated_count	Int64	integer	Whole-number numeric column. Number of workers reported with amputations in the incident.
workers_eye_loss_count	Int64	integer	Whole-number numeric column. Number of workers reported with loss of eye injuries in the incident.
total_severe_injuries_reported	Int64	integer	Whole-number numeric column. Total severe injuries reported for the row computed as the sum of hospitalization, amputation, and eye-loss counts.
severity_profile	string	string	Text column. Normalized severity combination describing whether the incident involved hospitalization, amputation, eye loss, or a combination.
has_hospitalization	boolean	boolean	True/false column. Boolean flag indicating whether at least one hospitalization was reported.
has_amputation	boolean	boolean	True/false column. Boolean flag indicating whether at least one amputation was reported.
has_eye_loss	boolean	boolean	True/false column. Boolean flag indicating whether at least one loss of eye injury was reported.
inspection_id	Int64	integer	Whole-number numeric column. OSHA inspection identifier linked to the incident when one is present in the source file.
inspection_opened	boolean	boolean	True/false column. Boolean flag indicating whether the row includes an OSHA inspection identifier.
final_narrative	string	long text	Free-text column containing longer text values. OSHA narrative describing the incident circumstances and injury details.
narrative_length	Int64	integer	Whole-number numeric column. Character length of the cleaned incident narrative.
nature_code	Int64	integer	Whole-number numeric column. Occupational Injury and Illness Classification System code for the nature of the injury.
nature_title	string	string	Text column. Descriptive title for the injury nature code.
part_of_body_code	Int64	integer	Whole-number numeric column. Occupational Injury and Illness Classification System code for the affected body part.
part_of_body_title	string	string	Text column. Descriptive title for the affected body part code.
event_code	Int64	integer	Whole-number numeric column. Occupational Injury and Illness Classification System event or exposure code.
event_title	string	string	Text column. Descriptive title for the event or exposure code.
source_code	Int64	integer	Whole-number numeric column. Occupational Injury and Illness Classification System source code for the primary injury source.
source_title	string	string	Text column. Descriptive title for the primary injury source code.
secondary_source_code	Int64	integer	Whole-number numeric column. Occupational Injury and Illness Classification System secondary source code when present.
secondary_source_title	string	string	Text column. Descriptive title for the secondary source code when present.
federal_state_code	Int64	integer	Whole-number numeric column. Numeric federal-state flag from the OSHA source file.
keyword_fall	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions a fall or falling event.
keyword_vehicle	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions a vehicle, truck, trailer, forklift, or driving context.
keyword_forklift	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions forklift or powered industrial truck activity.
keyword_machine	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions machinery, equipment, press, conveyor, or mechanical operations.
keyword_electrical	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions electrical, voltage, shock, or arc-related hazards.
keyword_fire_explosion	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions fire, explosion, ignition, or burn events.
keyword_chemical	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions chemical, acid, gas, vapor, or exposure-related hazards.
keyword_trench_excavation	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions trenching, excavation, cave-in, or trench hazards.
keyword_caught_in	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions caught-in, pinched, crushed, or entanglement mechanisms.
keyword_struck_by	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions being struck by an object or equipment.
keyword_confined_space	boolean	boolean	True/false column. Boolean flag indicating that the narrative mentions confined spaces, tanks, pits, vaults, or manholes.
source_url	string	string	Text column. Official OSHA dashboard page describing the source dataset.
source_download_url	string	string	Text column. Official OSHA ZIP download URL used to build the dataset.
source_domain	string	string	Text column. Domain name of the source system used for the row.
last_collected_at	datetime64[us, UTC]	datetime	Date or timestamp column. UTC timestamp when the dataset build collected the source file.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset

import os
from datasets import load_dataset

HUGGINGFACE_API_KEY = os.environ.get("HUGGINGFACE_API_KEY")

dataset = load_dataset(
    "masonmarker/osha-severe-injury-reports-enriched",
    token=HUGGINGFACE_API_KEY,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

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Marker, Mason. (2025). OSHA Severe Injury Reports Enriched Dataset. Hugging Face. https://huggingface.co/datasets/masonmarker/osha-severe-injury-reports-enriched