Using March 2026 Current Population Survey (CPS) data, caregiving was the leading reason women ages 25–54 were out of the labor force, while disability was the leading reason for men.
I thought the contrast was interesting because “not in the labor force” is often discussed as a single category, even though the underlying circumstances can be very different.
Source: U.S. Census Bureau, Current Population Survey (CPS), March 2026.
Made in Tableau.
Daztur on
Fewer men are out of the labor force than women so the disabled category looks bigger in comparison, also men are more likely to work trades that can fuck up your body.
SpinIx2 on
Would this be more revealing if the percentage given were for percentage of the population aged 25-52 rather than percentage of that part of the age cohort not currently working?
WazzleApricot on
Being a fulltime caregiver during and/or directly after college make it incredibly difficult to enter the job market due to lack of job history. This also applies to anyone who has a gap in employment due to illness with early gaps being extremely difficult to overcome. Discrimination against people covered by the ADA is keeping people out of the workforce. People who are/were homeless have a hard time getting into the job market.
White-collar entry-level/early career jobs are increasingly being offshored and what’s left is reserved for the most recent graduates. Basically, people can’t get job experience to get a decent job. People with experience are also penalized for an employment gap.
Involuntary NEETs have my sympathy. Also, BLS methodology is bovine manure.
InvoluntaryGeorgian on
25 and 54 are not prime. The former is divisible by 5 and the latter is even
LiamTheHuman on
Maybe this is a me problem but it makes it look like more men than women are disabled retired or in school when I don’t think that’s the case(although maybe it is). Would be cool to show the scale based on actual count rather than percentages. The ratio would still be right and the percentages would still be listed so you could show more information on a similar chart.
Confident-Mix1243 on
Interesting that more men than women were short-term ill.
FartingBob on
I wonder why men are 4 times more likely to list „other“ as the reason? Or maybe they are just less willing to give an answer at all and that gets lumped in with the „other“ category? I can definitely see more men saying „i dont want to talk about it“ when asked by a survey why they are unemployed.
snmnky9490 on
Does „other“ include „can’t find a job“?
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Using March 2026 Current Population Survey (CPS) data, caregiving was the leading reason women ages 25–54 were out of the labor force, while disability was the leading reason for men.
I thought the contrast was interesting because “not in the labor force” is often discussed as a single category, even though the underlying circumstances can be very different.
Source: U.S. Census Bureau, Current Population Survey (CPS), March 2026.
Made in Tableau.
Fewer men are out of the labor force than women so the disabled category looks bigger in comparison, also men are more likely to work trades that can fuck up your body.
Would this be more revealing if the percentage given were for percentage of the population aged 25-52 rather than percentage of that part of the age cohort not currently working?
Being a fulltime caregiver during and/or directly after college make it incredibly difficult to enter the job market due to lack of job history. This also applies to anyone who has a gap in employment due to illness with early gaps being extremely difficult to overcome. Discrimination against people covered by the ADA is keeping people out of the workforce. People who are/were homeless have a hard time getting into the job market.
White-collar entry-level/early career jobs are increasingly being offshored and what’s left is reserved for the most recent graduates. Basically, people can’t get job experience to get a decent job. People with experience are also penalized for an employment gap.
Involuntary NEETs have my sympathy. Also, BLS methodology is bovine manure.
25 and 54 are not prime. The former is divisible by 5 and the latter is even
Maybe this is a me problem but it makes it look like more men than women are disabled retired or in school when I don’t think that’s the case(although maybe it is). Would be cool to show the scale based on actual count rather than percentages. The ratio would still be right and the percentages would still be listed so you could show more information on a similar chart.
Interesting that more men than women were short-term ill.
I wonder why men are 4 times more likely to list „other“ as the reason? Or maybe they are just less willing to give an answer at all and that gets lumped in with the „other“ category? I can definitely see more men saying „i dont want to talk about it“ when asked by a survey why they are unemployed.
Does „other“ include „can’t find a job“?