The union membership rate--the percent of wage and salary workers who were members of unions--was 10.1 percent in 2022, down from 10.3 percent in 2021, the U.S. Bureau of Labor Statistics reported. The number of wage and salary workers belonging to unions, at 14.3 million in 2022, increased by 273,000, or 1.9 percent, from 2021. However, the total number of wage and salary workers grew by 5.3 million (mostly among nonunion workers), or 3.9 percent. This disproportionately large increase in the number of total wage and salary employment compared with the increase in the number of union members led to a decrease in the union membership rate. The 2022 unionization rate (10.1 percent) is the lowest on record. In 1983, the first year where comparable union data are available, the union membership rate was 20.1 percent and there were 17.7 million union workers.
Read the rest of the press release:
UNION MEMBERS -- 2022
Bureau of Labor Statistics
PDF with printed tables
HTML with tables
Bureau of Labor Statistics
Articles
Union membership drops to record low in 2022
Politico | Jan 2023
Unionization rate hit all-time low in 2022 despite growth in overall members
Axios | Jan 2023
Union membership dropped yet again in 2022 to the lowest rate on record
Business Insider | Jan 2023
Related Reading
Five Reasons the National Union Membership Rate May Increase in 2023
Ogletree | Jan 2023
Read the rest of the press release:
UNION MEMBERS -- 2022
Bureau of Labor Statistics
PDF with printed tables
HTML with tables
Bureau of Labor Statistics
Articles
Union membership drops to record low in 2022
Politico | Jan 2023
Unionization rate hit all-time low in 2022 despite growth in overall members
Axios | Jan 2023
Union membership dropped yet again in 2022 to the lowest rate on record
Business Insider | Jan 2023
Related Reading
Five Reasons the National Union Membership Rate May Increase in 2023
Ogletree | Jan 2023
An organization run by AI is not a futuristic concept. Such technology is already a part of many workplaces and will continue to shape the labor market and HR. Here's how employers and employees can successfully manage generative AI and other AI-powered systems.