Severe Nonfatal Injuries & Illnesses (2014-2020) Charts
Bureau of Labor Statistics (BLS), Survey of Occupational Injuries and Illnesses (SOII)

Severe Nonfatal Injuries & Illnesses charts are based on the Days Away From Work subset of the BLS Survey of Occupational Illnesses and Injuries (SOII) where the severity of the injuries and illnesses required days away from work to recuperate. See All Nonfatal Injuries & Illnesses for charts based on all injuries and illnesses.

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Count of Severe Injuries & Illnesses by Industry, California, 2020

Source: Bureau of Labor Statistics (BLS), Survey of Occupational Injuries and Illnesses (SOII)

Count of Severe Injuries & Illnesses by Industry, California, 2020

Accommodation and food services12,6307.8147.7
Administrative and support and waste management and remediation services9,3605.8144.2
Agriculture, forestry, fishing and hunting6,3803.9181.5
Arts, entertainment, and recreation1,8001.1118.1
Construction11,6607.2152.4
Educational services6300.433.0
Finance and insurance4600.39.0
Health care and social assistance50,46031.2351.5
Information1,5901.032.1
Management of companies and enterprises6700.428.6
Manufacturing15,3009.5123.5
Mining700.032.8
Other services, except public administration5,8603.6171.4
Professional, scientific, and technical services2,6101.621.0
Real estate and rental and leasing2,1901.490.5
Retail trade21,01013.0186.6
Transportation and warehousing11,8107.3200.8
Utilities1800.132.4
Wholesale trade7,2004.4115.4
All workers161,860100.0145.6

a.
For reference year 2014, the SOII program adopted a revised industry classification system, NAICS 2012. More information NAICS can be found here: www.bls.gov/bls/naics.htm.

Data Source

Bureau of Labor Statistics (BLS), Survey of Occupational Injuries and Illnesses (SOII)
Bureau of Labor Statistics (BLS), Survey of Occupational Injuries and Illnesses (SOII)

The Injuries, Illnesses, and Fatalities (IIF) program provides annual information on the rate and number of work related injuries, illnesses, and fatal injuries, and how these statistics vary by incident, industry, geography, occupation, and other characteristics.