COVID-19 mortality by usual occupation and industry : 46 states and New York City, United States, 2020
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COVID-19 mortality by usual occupation and industry : 46 states and New York City, United States, 2020

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    Objectives—This report describes COVID-19 mortality in 2020 among U.S. residents in 46 states and New York City by usual occupation and industry.

    Methods—Frequencies, death rates, and proportionate mortality ratios (PMRs) are presented using data from the 2020 National Vital Statistics System mortality file. Data were restricted to decedents aged 15–64 (working age) with usual occupations and industries in the paid, civilian workforce. Age-standardized COVID-19 death rates were estimated for each usual occupation and industry group overall, and age-adjusted COVID-19 PMRs were estimated for each usual occupation and industry group overall and within each sex, race and Hispanic-origin, and region of residence group.

    Results—COVID-19 death rates and PMRs showed differences across usual occupations and industries in 2020. Workers in protective service occupations (60.3 per 100,000 workers, 95% confidence interval: 53.5–67.2) and accommodation and food services industries (55.0, 51.1–58.9) experienced the highest death rates. The highest PMRs were observed among decedents in community and social services occupations (158.5, 151.4–165.7) and in transportation and warehousing (119.3, 116.3–122.2), healthcare and social assistance (118.7, 116.3–121.1), and administrative, support, and waste services (118.3, 114.5–122.1) industries. Variability in COVID-19 PMRs by usual occupation and industry group was also observed within demographic subgroups.

    Conclusions—COVID-19 mortality in 2020 varied by usual occupation and industry overall and within demographic subgroups.

    Suggested citation: Billock RM, Steege AL, Miniño A. COVID-19 mortality by usual occupation and industry: 46 states and New York City, United States, 2020. National Vital Statistics Reports; vol 71 no 6. Hyattsville, MD: National Center for Health Statistics. 2022. DOI: https://dx.doi.org/10.15620/cdc:120292.

    CS333589

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    32 numbered pages
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    71
  • Issue:
    6
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