Screening and sifting machinery for general industrial use manufacturing

What Screening and sifting machinery for general industrial use manufacturing Safety Data Reveals

The Screening and sifting machinery for general industrial use manufacturing sector (NAICS 333999) encompasses 268 distinct employer establishments currently reporting to OSHA's Injury Tracking Application. Across this cohort, workers have logged 3,212 recordable injuries during the 2016–2024 reporting window, producing an industry-weighted average Total Case Rate (TCR) of 3.3 injuries per 100 full-time workers per year. Because OSHA's ITA mandates submission from establishments with 250+ employees plus all high-hazard industries at 20+ employees, this dataset represents a structural slice of U.S. workplace risk rather than a voluntary sample.

The Bureau of Labor Statistics publishes a separate national benchmark TCR of 3.3 for this NAICS code, derived from the BLS Survey of Occupational Injuries and Illnesses. Comparing the two, the ITA-reported rate of 3.3 is below the BLS benchmark — a gap that typically widens when the industry contains many large, high-exposure establishments required to file ITA reports. Employers in the table below are sorted so you can see how far individual establishments deviate from both the industry average and the national benchmark.

The practical value of industry-level safety data is threefold. First, jobseekers can gauge whether a prospective employer is better or worse than its industry peers — not just absolute injury counts, which tilt toward larger payrolls. Second, insurers and workers' compensation carriers use sector TCR as a baseline for experience-modification adjustments. Third, safety professionals benchmark their own programs against the cohort median. Use the grade-sorted employer list below to identify specific establishments within Screening and sifting machinery for general industrial use manufacturing that outperform or underperform the sector average, and click through to each record for year-by-year injury, illness, and fatality breakdowns.