Health-related workplace absenteeism U.S. 2023

During the recorded time period, the highest peak in health-related absenteeism was in the month of January in the 2021 to 2022 flu-season, where five percent of full-time workers were absent from work. This statistic represents the percentage of full-time workers in the U.S. absent from work for health-related reasons from 2015-2023, by month.

Percentage of full-time workers in the U.S. absent from work for health-related reasons from 2015-2023, by month

Characteristic	2022-2023 season	2021-2022 season	2020-2021 season	2019-2020 season	2018-2019 season	2017-2018 season	2016-2017 season	2015-2016 season
Sep	2.25%	2.32%	2.37%	1.47%	1.85%	1.85%	1.78%	1.91%
Aug	1.93%	2.22%	2.22%	1.88%	1.51%	1.6%	1.44%	1.73%
Jul	1.57%	2.36%	1.89%	2.18%	1.46%	1.4%	1.47%	1.49%
Jun	1.59%	2.08%	1.82%	1.6%	1.66%	1.73%	1.67%	1.73%
May	1.93%	2.46%	2.02%	1.84%	1.87%	1.78%	1.86%	2%
Apr	2.02%	2.03%	2.61%	2.21%	1.87%	1.95%	1.8%	2.1%
Mar	2.28%	2.23%	2.18%	2.43%	2.4%	2.18%	2.12%	2.27%
Feb	2.43%	2.52%	2.21%	2.42%	2.48%	2.68%	2.74%	2.32%
Jan	2.64%	5.37%	2.64%	2.43%	2.41%	3.02%	2.6%	2.14%
Dec	3.25%	2.88%	2.66%	2.23%	2.25%	2.26%	2.3%	2.31%
Nov	2.63%	2.33%	2.32%	1.9%	2.07%	1.75%	1.69%	1.77%
Oct	2.38%	2.06%	1.9%	1.89%	1.7%	1.71%	1.91%	1.77%

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Release date

March 2023

More information

Region

United States

Survey time period

October 2015 to September 2023

Age group

16 years and older

Supplementary notes

Current Population Survey (CPS of Census Bureau) considers a full-time worker to be anyone who usually works at least 35 hours a week. The amount of health-related workplace absenteeism is calculated as the percentage of full-time workers who worked less than 35 hours because they were ill, injured, or had another medical issue.

*Absenteeism is estimated each month using CPS survey data; each estimate has a margin of error. Absenteeism is considered significantly higher than expected when the lower limit of the estimate’s margin of error is higher than the epidemic threshold. The epidemic threshold is calculated using baseline absenteeism data from the previous five years, averaged by month, and information about the likely variation of these baseline data.

Figures prior to the 2017-2018 season can be found here.

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