Korea's 710,000 'Resting' Youth Would Be Patients in Britain · Issue #144

Opening

Dear reader, last week the Financial Times ran a short but uncomfortable column. Data journalist John Burn-Murdoch posed a question: has youth mental health actually gotten worse, or has the way we count it changed?

He concedes that some signals are unmistakably real—like the number of young women arriving at emergency rooms after self-harm. But he argues that everything stacked on top of that signal doesn’t add up. Different surveys, looking at the same country, the same period, the same people, produce different answers.

Reading this piece sent me back into Korean statistics. And I found something strange.

Let me give you the conclusion up front. The UK and Korea sort inactive young people into completely different boxes. Britain counts them as sick; Korea counts them as resting. And that single box determines which ministry owns the problem, how much budget follows it, and what the news calls the phenomenon.

🇬🇧 Britain Counts Them as Sick

As of January–March this year, the UK had 1.01 million NEETs¹ aged 16-24. That’s the first time the figure has topped 1 million since 2013.

But more telling than the raw count is how the stated reason has shifted. The share of NEET youth citing “a health condition that limits work” rose from 26% in 2015 to 44% in 2025—a 70% increase in a decade. Among disabled NEET youth specifically, the share naming a mental health condition as their “main condition” nearly doubled, passing 4 in 10.

These figures come from the “Young People and Work” review that the UK government commissioned from Alan Milburn, the former health secretary. It’s an interim report released on May 28, and one sentence in its foreword stopped me cold: for the first time in two centuries, changes in health—mental health in particular—are holding back economic growth and shrinking labor supply.

The report puts the social cost of NEET youth at £125 billion. That’s more than the UK spends on education in a year.

Once You’re in the Box, You Don’t Get Out

What’s scarier is how sticky the box is. Among people who left the labor market for health reasons between 2017 and 2019, nearly 8 in 10 were still NEET two years later.

The Milburn report locates the cause not in young people themselves but in the system. Youth are being classified as “unable to work” through the very process of obtaining a diagnosis. The report’s point: the system diagnoses, treats, and discharges—but there’s no pathway back to education or employment afterward.

The Health Foundation in the UK explained this mechanism most clearly. Here’s the cycle, summarized:

To receive support from schools or the welfare system, you must pass a health-based eligibility test
So young people and parents go seek a medical diagnosis
Once diagnosed, the belief hardens that “what I’m struggling with is fundamentally a health problem”
That belief then feeds back into the next labor-market survey as the answer “because of a health condition”

The number itself hasn’t grown so much as the channel that produces the number has widened.

🇰🇷 Korea Counts Them as Resting

Now let’s turn to Korea.

As of 2025, the number of Koreans in their 20s and 30s who are neither working nor job-hunting—classified as “resting” (swieoteum)²—stands at 717,000. That’s the highest figure since record-keeping began in 2003. It represents 5.8% of the 20s-30s population, and looking at people in their 30s alone, the figure is 309,000, also an all-time high.

Here’s a crucial fact. Korea’s Economically Active Population Survey has a separate box for “physical or mental disability.” “Resting” is what you select when you don’t fit into childcare, housework, schooling, old age, or disability. In other words, Korean youth have a box for being sick right in front of them—and they’re not choosing it.

Answers Diverge by Age

When last August’s supplementary survey asked why people were resting, the answers split by age:

Age	Top reason	Share
Ages 15-29	Hard to find the job I want	34.1%
30s	Not feeling well	32.0%
60 and older	Not feeling well	38.5%

Young people do not rank health first. “Hard to find the job I want” takes the top spot, up 3.3 percentage points from the year before—the largest increase of any age group. People in their 30s, meanwhile, have already made “not feeling well” their number one reason.

Look closely at the wording. The Korean survey asks about “not feeling well”—body-centered language. Would a 20-something struggling with anxiety or depression recognize their own condition in that phrase?

The UK survey asks differently: “Do you have a health condition, lasting 12 months or more, that limits the work you can do?” If yes, respondents then name a main condition—and “depression, nerves, or anxiety” is explicitly on that list.

The Box Makes the Headline

The Korea Development Institute (KDI) ran an interesting calculation: roughly 71% of the drop in Korea’s unemployment rate over the past decade came from the growth of “resting” youth in their 20s.

Here’s what that means in practice. A young person who gives up job-hunting doesn’t register as unemployed—they move into “resting.” So the unemployment rate looks lower, and the government can say the job market isn’t so bad. The person stayed the same. Only the box moved. And the headline changed.

🔀 Same Youth, Different Box, Different Budget

Let’s put the two countries side by side.

Category	UK	Korea
What it’s called	NEET due to health condition	”Resting” youth
Survey question	Do you have a health condition that limits work? What is your main condition?	What did you mainly do last week?
Youth response	44% say “health condition”	34.1% say “couldn’t find the job I wanted”
Where it flows	Department of Health & Social Care + Department for Work and Pensions	Ministry of Employment and Labor
Policy response	Reforming disability benefit assessments, 10-year health plan	”Cut resting youth by 100,000”
Price tag	£125 billion	No figure calculated

These could be young people in identical circumstances. Yet one flows into the healthcare and welfare system, and the other flows into a job-matching budget.

Why the Divergence

The size of the incentive differs.

In Britain, a diagnosis connects to cash benefits—disability-related allowances attach to it. The incentive is strong. In Korea, a diagnosis gets you an eight-session counseling voucher, full stop. The incentive is weak.

But the structure itself is identical. To get Korea’s counseling voucher, you need a psychiatric diagnosis or medical opinion, or a score of 10 or higher on the PHQ-9³ in the national mental health screening. That’s exactly the “health-based eligibility test” the Health Foundation flagged. It’s just smaller in scale.

And Korea Is Now Growing That Incentive

Starting in 2025, the interval for the national mental health screening for 20-to-34-year-olds shrank from every 10 years to every 2 years. That’s five times more frequent. An early psychosis screening was also newly added.

The Ministry of Health and Welfare’s stated reason is clear: Korea’s mental health service utilization rate is 12.1%, far below Canada’s 46.5% or Australia’s 34.9%, and among youth it’s only 16.2%. In other words, the government has declared it will find more cases.

That’s not a bad goal in itself. The question is how we’ll read the resulting numbers a few years from now.

📏 Time to Question the Measuring Tool

Let’s talk data for a moment.

The PHQ-9 is a screening tool. It’s not a prevalence⁴ measuring instrument. It’s designed to cast a wide net and flag people worth a closer look.

A large-scale meta-analysis published in the Journal of Clinical Epidemiology in 2020 nailed exactly this point. Pooling individual participant data from 44 studies covering 9,242 people, the researchers compared the PHQ-9’s cutoff of 10 against results from structured clinical interviews⁵. Here’s what they found:

Prevalence by PHQ-9 cutoff of 10+: 24.6%
Prevalence by structured clinical interview: 12.1%
Average ratio across studies: a 2.5x overestimate

The paper’s conclusion is blunt: the PHQ-9 cutoff of 10 substantially overestimates depression prevalence.

Yet Korea uses this exact cutoff as the gateway to welfare eligibility. And since 2025, it’s asking youth five times more often.

Korea’s Three Statistics Tell Three Different Stories

This is the part that floored me most. Line up Korea’s three official statistics, and they point in completely different directions.

Measurement tool	Youth-related finding	Direction
HIRA treatment statistics	Depression patients in their 20s up 127.1% in 5 years	Sharp rise
Ministry of Health and Welfare mental health survey	1-year prevalence of mental disorders at 8.5%, down from 2016	Decline
National Data Agency Economically Active Population Survey	717,000 “resting” people in their 20s-30s, an all-time high	Sharp rise

The first counts people who showed up at a hospital. The second measures actual condition through diagnostic interviews. The third asks whether you’re working or not. All three are counting different things. Yet the news mixes them together into a single sentence: “youth mental health crisis.”

Someone gave this answer four years ago already. When HIRA’s 2022 statistics came out, an official at the Korean Neuropsychiatric Association commented that if prevalence hadn’t risen much while patients in their 20s spiked, that pointed to a lower threshold for seeking psychiatric care—not a worsening epidemic. That diagnosis never made it into policy.

Even Government Documents Mix Up Terms

One more thing. In a report the Ministry of Health and Welfare submitted to the National Assembly titled “10-Year Trends in Depression Prevalence,” depression prevalence is listed as rising from 1.16% in 2014 to 2.3% in 2023. But the same document’s treatment headcount goes from 584,948 to 1,043,141.

Divide 1.04 million by Korea’s population of roughly 51.7 million, and you get about 2.0%—which doesn’t match the document’s own 2.3%. The denominators are defined differently.

Either way, this isn’t epidemiological prevalence—it’s treatment utilization rate. It’s the share of people who went to a hospital, not the share of people who have the illness. The government document is calling both by the same name.

💔 And Yet, Sick Youth Are Really Sick

Reading this far, you might be thinking: so is the youth mental health crisis just an illusion?

No. Quite the opposite.

In 2024 alone, there were 35,170 emergency room visits for self-harm or suicide attempts. Teens and 20-somethings accounted for 39.9% of these. Women accounted for 21,479 cases, far more than men’s 13,691, and among women, those in their 20s made up 26.6% and teens 20.6%—concentrated heavily among the young.

The trend is unmistakable, too. Between 2018 and 2022, self-harm and suicide attempts among teens rose from 95.0 to 160.5 per 100,000 people—up 68.9%. Among 20-somethings, the rate rose from 127.6 to 190.8, up 49.5%. Over the same period, the increase across all ages combined was 11.8%. The spike is concentrated squarely among the young.

A study analyzing eight years of emergency room data in Seoul found that 75.4% of patients aged 24 or younger who came in for suicide attempts or self-harm were women.

This signal didn’t grow because a survey question changed. The number of people carried into emergency rooms doesn’t shift because you revise a questionnaire. The point where Burn-Murdoch said “this is where the solid data ends” exists in Korea too, in exactly the same place.

The problem is that everything stacked on top of that signal wobbles. And policy is responding not to the signal that holds steady, but to the numbers that wobble.

For what it’s worth, economist Tyler Cowen, who flagged Burn-Murdoch’s column, added a caveat: this reading isn’t conclusive, but neither is the opposing one. I stand in the same spot. One thing is certain: the ruler we’re currently using can’t measure this problem accurately.

Oz’s Lens

In nearly 20 years of building go-to-market strategy, I’ve run into the same failure pattern over and over. The moment you turn a metric into a KPI, that metric stops measuring reality and starts manufacturing it.

The accident I’ve watched happen most often involves MQLs. When a marketing team puts qualified lead counts on the board as a KPI, that number is guaranteed to rise. Revenue doesn’t. Nobody’s behavior changed—only the definition of a lead changed. Once a number becomes the target, people optimize the process that produces the number, not the underlying reality.

Britain has fallen into exactly this trap. It designed a system where support requires diagnosis, diagnoses rose, and now the rise in diagnoses is being read as evidence of a crisis. Korea hasn’t fallen into that trap yet. But it is currently digging it, by hand.

But honestly, I’m more worried about the opposite failure.

Korea’s 710,000 aren’t properly sorted into any box at all. “Resting” is a box with zero policy meaning. Britain’s 44% at least got diagnosed, became eligible for support, and got priced at £125 billion. Once something is priced, a budget follows; once a budget follows, a debate begins. Korea’s 710,000 have no price attached.

Design a metric poorly, and the numbers inflate. Build no metric at all, and the people disappear. I think Korea is currently doing the second thing. And the second thing is more dangerous—an inflated number can at least be corrected later, but a person who was never counted stays uncounted forever.

Closing

Britain counts inactive youth as sick; Korea counts them as resting. That box decides which ministry owns it, what budget follows, and what story gets told. Since 2025, Korea has made youth mental health screening five times more frequent. A few years from now, our numbers may start to resemble Britain’s. We need to decide now how we’ll read them when that happens.

Next time you see a headline about a “youth mental health crisis,” check what instrument produced that number. Whether it’s a treatment headcount, a screening score, or a diagnostic interview changes the story entirely.

If you’ve ever applied for the counseling voucher, tell me in the comments where you got stuck. Was it the diagnosis requirement, the PHQ-9 score, or did you just give up? I’ll be taking apart Korea’s mental health support system in the next issue, and I’ll fold your comments in.

Today’s piece was about statistics and systems. But if you’re going through a hard time right now, you don’t have to get through it alone. The Suicide Prevention Hotline at 109 offers 24-hour counseling, and if you’d prefer text or KakaoTalk, the SNS counseling service Madeulraen is also open around the clock.

💬 Share your thoughts or experiences on this topic in the comments. I’ll factor them into the next issue. 📨 If someone around you could use this, please share it.

Past issues worth reading alongside this one

📎 References & Further Reading

Primary sources

John Burn-Murdoch, “What’s really going on with mental health?”, Financial Times, July 2026. : This is where today’s piece began. Since it only covers UK and US data, I added the Korea angle myself.
Alan Milburn, “Young people and work: interim report”, UK Government, May 28, 2026. : The 44% figure and the £125 billion estimate both come from here. The foreword is especially worth reading. The final report is due this September.
Brooke Levis, Andrea Benedetti, John P. A. Ioannidis, Brett D. Thombs et al., “Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis”, Journal of Clinical Epidemiology, 2020. : This paper undercuts the eligibility standard behind Korea’s counseling voucher. Pooling 44 studies, it shows that a PHQ-9 cutoff of 10 inflates prevalence estimates 2.5-fold.
The Health Foundation, “Why are a growing number of young people who are NEET reporting work-limiting health conditions?”, March 2026. : This is the clearest explanation of the cycle where diagnosis reshapes self-perception, which then reshapes the statistics. Today’s piece owes the most to this source.

Korean Data Sources

National Data Agency, 《Supplementary Survey on the Economically Inactive Population, August 2025》 : This is the raw source for the age breakdown of reasons for “resting.” Look at the table directly and the gap between people in their 20s and 30s jumps right out.
Ministry of Health and Welfare, 《2021 Mental Health Survey》 : This is the source of the 8.5% one-year prevalence figure. Be sure to read the footnote noting that the survey methodology changed from the previous round.
Health Insurance Review & Assessment Service (HIRA), 《Five-Year Treatment Statistics for Depression and Anxiety Disorders》, June 2022 : This is the source of the 127.1% increase among patients in their 20s.
Ministry of Health and Welfare, press release, 《Expanding Mental Health Screening for Youth》, October 17, 2024 : This is the decision document that cut the screening interval from 10 years to 2.

Background

Ben Baumberg Geiger, Melanie Jones & Victoria Wass, “Disability prevalence and disability-related employment gaps in the UK 1998-2012: Different trends in different surveys?”, Social Science & Medicine, 2015. : This is evidence that today’s debate isn’t new. The same author found the identical discrepancy in physical disability statistics 11 years ago. The title—different surveys, different trends—says it all.
Christoph Henking & Ben Baumberg Geiger, SocArXiv preprint, 2026. : This is the original source for the “institutional medicalization” hypothesis. Keep in mind it’s a preprint that hasn’t yet been peer-reviewed.

The author, Kwangseob Ahn, is a professor of business administration at Sejong University and lead consultant at OBF (Oswarld Boutique Consulting Firm). He teaches statistics and data analysis — business data management and business analytics — while leading GTM and AI strategy consulting in the field, designing the seam between technology and business. He has published academic research on a memory architecture for AI dialogue systems (HEMA) and runs Daily Arxiv, a daily curation of global AI papers. He holds a master’s from Korea University’s Graduate School of Technology Management and a KMBA. He is the author of Homo Brainless: The People Who Outsource Their Thinking.

📝 Glossary

Footnotes

NEET: Someone Not in Education, Employment, or Training. The UK tallies this for ages 16-24. It differs from unemployment—the unemployed are actively job-hunting, while NEET includes people who’ve stopped looking altogether. ↩
“Resting” (swieoteum): A category in Korea’s Economically Active Population Survey. When asked “What did you mainly do last week?”, anyone who answers none of childcare, housework, schooling/coursework, old age, or disability gets sorted here. It’s essentially the “other reasons” box. ↩
PHQ-9: A nine-item self-report questionnaire that screens for depressive symptoms. A total score of 10 or higher is read as “moderate or greater depression.” It’s not a diagnostic tool but a triage tool for flagging people who need closer evaluation—similar to taking a blood pressure reading at a checkup. High blood pressure doesn’t automatically make someone a hypertension patient. ↩
Prevalence: The share of people who actually have a given condition at a specific point or period in time. It’s an entirely different concept from treatment utilization rate—the share of people who visited a hospital. Out of 100 people with a cold, maybe only 30 go see a doctor. Conflating the two badly distorts the numbers. ↩
Structured clinical interview: A diagnostic method where a trained interviewer conducts a direct interview following a fixed sequence and set criteria. It’s far more accurate than self-report questionnaires, but it takes much more time and money. That’s why large-scale surveys often substitute a questionnaire instead—and that substitution is where the error creeps in. ↩