“I want to work more”…Involuntary unemployment surpassed 2 million for the first time

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Last year, the number of people who lost their jobs due to involuntary reasons such as closing of their jobs, layoffs, and business sluggishness exceeded 2 million for the first time ever.

According to the National Statistical Office on the 17th, as of December last year, the number of involuntary unemployed workers less than one year after quitting work was 2.196,000.

This is an increase of 48.9% from 2019 (1475,000), and is the highest ever since 2000 when the unemployment statistics standard was changed.

When looking at the reasons for unemployment of involuntary unemployed people,’temporary/seasonal completion of work’ was the most common at 1.15,000. ‘No work or business sluggish’ (485,000 people),’honorary retirement, early retirement, layoffs’ (347,000 people), and’workplace closure/closing’ (259,000) followed.

Among the involuntary unemployed, 598,000 people were classified as unemployed because they continued to seek jobs after unemployment. The number of people classified as inactive economically inactive because they gave up their job search or just took a break were 1598,000.

Among the involuntary unemployed last year, the proportion of the vulnerable was particularly large.

Pre-employment status was 40.3% for temporary workers, 23.2% for daily workers, and 18.2% for regular workers, respectively. Among the self-employed, the number of self-employed without employees (9.6%) was higher than those with employees (1.9%).

Six out of ten involuntarily unemployed people quit working after attending small businesses with fewer than ten employees. In terms of the number of workers in the workplace where they quit, 44.5% of workers 1-4 and 20.8% of 5-9 workers.

Women (55.2%) were more involuntarily unemployed than men (44.8%). By industry, 12.5% ​​of the involuntary unemployed workers were in the lodging and restaurant business.



By age, those over 60 were the most at 36.8%, followed by those in their 50s (19.4%), 20s (18.2%), 40s (13.2%), 30s (10.9%), and 15-19 years old (1.6%). Was.