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Reference · Data frozen July 28, 2026 · Updated August 14, 2026

Burnout Statistics 2026

Published burnout figures disagree by tens of percentage points. That is not because some of them are lying. It is because they measure different things, and almost none of the articles quoting them say which.

This page gives the official definition, one survey with its method on the table, four checks to run before quoting any burnout number, and our own first-party data on workplace disengagement, which is a related and distinctly different thing.

Third-party figures are cited to their publishers. First-party figures state their base, are free to cite under CC BY 4.0, and reproduce from the published dataset.

61%of US workers languishing rather than flourishing (Gies, Feb 2026, n = 2,000)
38% vs 29%report frequent burnout, languishing against flourishing (same survey)
11.6%name being stuck or bored, our disengagement measuren = 3,656
Key findings

The numbers worth carrying

Each line names its source and its base, written to be quoted as it stands.

  1. 01Occupational not medical. The WHO classifies burn-out in ICD-11 as an occupational phenomenon resulting from unmanaged chronic workplace stress, with three dimensions: exhaustion, cynicism, and reduced efficacy.
  2. 0261% of 2,000 nationally representative US workers were languishing rather than flourishing (University of Illinois Gies College of Business, February 2026).
  3. 0338% vs 29% report feeling burned out very frequently, languishing against flourishing employees. Frequent burnout is not confined to the unhappy (same survey).
  4. 0411.6% of 3,656 career-quiz respondents name being stuck or bored as their core struggle. This is a disengagement measure among career questioners, not a burnout prevalence estimate.
  5. 0526.2% is that share among people already paid well and seeking change, against 6.0% of students. Disengagement tracks with pay and seniority in this sample (n = 714 and 1,573).
  6. 0622.6% is that share among respondents with eight or more years of experience, against 5.3% of those with none (n = 962 and 1,713).
Definition

What burnout officially is

The World Health Organization classifies burn-out in ICD-11 as an occupational phenomenon rather than a medical condition. It is defined as resulting from chronic workplace stress that has not been successfully managed, and the WHO is explicit that the term refers to the occupational context and should not be applied to experiences in other areas of life.

The operational model behind it comes from Christina Maslach and Michael Leiter, whose 2016 World Psychiatry review consolidates four decades of research. It has three dimensions: exhaustion, mental distance or cynicism toward the job, and reduced professional efficacy.

Burnout in the technical sense requires all three dimensions to be assessed. A single question asking whether someone feels burned out captures a self-label, which is a legitimate thing to measure and a different thing to measure.

The evidence

One survey with its method on the table

The Workplace Well-Being Report 2026 from the Center for Professional Responsibility in Business and Society at the University of Illinois Gies College of Business, published February 4, 2026, surveyed 2,000 nationally representative US workers. It found 61% languishing and 39% flourishing, and it replicated its own 2025 findings rather than reporting a dramatic swing.

The detail worth quoting is inside that split. Among languishing employees, 38% report feeling burned out very frequently. Among flourishing employees, the figure is 29%. Nearly three in ten people who are otherwise doing well at work still report frequent burnout.

That single comparison does more to explain the disagreement between burnout statistics than any headline rate. Frequent burnout is not confined to the unhappy, so where a survey draws its line decides its answer.

For journalists

Four things to check before quoting a burnout number

The four questions below account for most of the spread between published figures. A number that cannot answer all four is not a number, it is a headline.

Table 1Four checks before quoting a burnout figureWhat to establish about any burnout statistic, and why each one moves the answer.
CheckThe questionWhy it changes the number
Which constructAll three Maslach dimensions, or a single self-label question?These are different instruments measuring different things. They are not interchangeable and routinely differ by double digits.
Which thresholdEver experienced, currently experiencing, or experiencing very frequently?Each step down the intensity ladder roughly changes the headline. Most circulated figures do not state which rung they sit on.
Which populationNationally representative, one industry, one employer's clients, or a self-selected online panel?Vendor surveys of their own customers are common in this topic and are not general-population estimates.
Who benefitsWho commissioned it, and do they sell a remedy?A large share of circulating burnout figures come from companies selling wellbeing products. That does not make them wrong, but it belongs in the sentence.

Compiled by MyPassion.AI from the WHO ICD-11 classification and the Maslach and Leiter construct.

If a figure cannot survive those four questions, the honest move is to cut it rather than attribute it vaguely. We apply the same rule here: several widely circulated burnout percentages were left off this page because we could not verify them on the original publisher's site.

Our data

What we can add, and what we cannot

The MyPassion.AI career quiz asks people to name their core career struggle from five fixed options. One reads "I'm stuck or bored in what I do now", chosen by 11.6% of 3,656 respondents. That is a disengagement measure among people questioning their career.

This is not a burnout statistic

The 11.6% figure measures disengagement among career questioners. It is not a burnout prevalence estimate and should never be cited as one. Our quiz does not assess exhaustion, cynicism or professional efficacy, and everyone in the sample is already questioning their career, so the figure has no general population behind it.
Bar chart of five core struggles, self-knowledge problems total 52.9%
Core struggle named by 3,656 respondents.Download image

What our data can do, and what no external burnout survey can do with the same dataset, is cut that one measure five different ways. Every cell below is the same question, asked of a different subgroup, with its own base printed. This is the table to quote from if you want to say something specific about who disengages.

Table 2Share naming stuck or bored, read through every available cutOne measure, five lenses. Each row is an independent subgroup on its own base, so the rows do not sum to anything.
CutGroupShare naming stuck or boredBase n
Life situationStudent or graduate, no clear direction6%1,573
Life situationIn a well-paying career, seeking change26.2%714
Life situationToo many interests, can't pick one6.1%690
Life situationStuck or unemployed, going in circles14.6%679
Years of experienceNo experience yet5.3%1,713
Years of experience1-3 years12.5%440
Years of experience4-7 years12.8%391
Years of experience8+ years22.6%962
Years of experienceReturning after a career break7.7%143
Education levelHigh school6.4%1,553
Education levelVocational or certifications12.7%306
Education levelSelf-taught or bootcamp6.8%146
Education levelBachelor's degree14.9%1,078
Education levelMaster's degree or higher20.1%568
Work styleImproving what already exists11.6%1,092
Work styleConnecting ideas or people11.8%1,051
Work styleStarting new projects11.5%956
Work styleMastering one subject11.4%543
Flow triggerLearning or going deep on a topic13.1%696
Flow triggerCreating: writing, design, music, craft13.5%520
Flow triggerBeing with people11%508
Flow triggerSolving hard technical problems11.2%366
Flow triggerMoving: sport, outdoors, hands-on11%236

Source: MyPassion.ai Career Change Report 2026 (n = 3,656 respondents), dataset frozen 28 July 2026

Reading Table 2. Rows are independent subgroups, not a distribution, so they do not sum to 100. A row marked n/a fell under the publication floor of 100 respondents and is suppressed rather than published. Bases differ sharply between cuts because coverage differs by field: the flow-trigger question was added late and covers 2,330 of 6,837 rows.
The pattern

Disengagement tracks with pay and seniority

The two cuts that separate the sample most sharply are life situation and experience, and they point the same way. Among people already paid well and seeking change, 26.2% name being stuck or bored. Among students it is 6.0% and among the multi-interest group 6.1%. Among people with eight or more years of experience it is 22.6%, against 5.3% of those with none.

Table 3Core struggle by life situation
No idea which direction to pickCan't tell what they're good atToo many interests to commit to oneNothing they try feels like a passionStuck or bored in current workBase n
Student or graduate, no clear direction30%29.5%18.2%16.2%6%1,573
In a well-paying career, seeking change21.8%21%15%16%26.2%714
Too many interests, can't pick one21.7%23.2%39%10%6.1%690
Stuck or unemployed, going in circles28%28.1%12.5%16.8%14.6%679

Source: MyPassion.ai Career Change Report 2026 (n = 3,656 respondents), dataset frozen 28 July 2026

Table 4Core struggle by years of experienceThe career-break row does not follow the tenure trend.
No idea which direction to pickCan't tell what they're good atToo many interests to commit to oneNothing they try feels like a passionStuck or bored in current workBase n
No experience yet29.7%29.2%22.4%13.5%5.3%1,713
1-3 years25%27.7%19.1%15.7%12.5%440
4-7 years23.5%24.8%22.3%16.6%12.8%391
8+ years22.3%21.2%18%15.9%22.6%962
Returning after a career break29.4%28%14%21%7.7%143

Source: MyPassion.ai Career Change Report 2026 (n = 3,649 respondents), dataset frozen 28 July 2026

Whatever this measure is picking up, it is not hardship. The groups reporting the most disengagement are the ones with the most secure positions, and the group in the hardest circumstances, people returning after a career break, reports it at 7.7%. That is the opposite of what a burnout-as-overwork story predicts, and it is the clearest evidence on this page that boredom and burnout are separate phenomena.

The distinction

Boredom is not burnout

Burnout is a stress response. Its defining feature is exhaustion, arising from demands that exceeded what a person could sustain. Boredom is an engagement failure. It can occur with no exhaustion at all, in a job with entirely reasonable demands, and it frequently does: our highest disengagement rates sit in the best-paid, longest-tenured group.

The two can coexist, and the remedies point in opposite directions. Burnout usually calls for reducing load. Boredom usually calls for increasing difficulty. Prescribing rest to someone who is bored makes the problem worse, which is one reason a single wellbeing number is a poor guide to what any individual should do next.

Column chart showing boredom as core struggle rising from 6.4% to 20.1% with education
Share naming stuck or bored, by education (bases: 1,553 / 1,078 / 568).Download image

The education gradient points the same way. Disengagement rises with every level of formal education, from 6.4% at high school to 20.1% at master's level. The full treatment, including what happens when career stage is held constant, is in The Education Paradox.

Methodology

What each figure here can and cannot claim

Third-party figures on this page belong to the organisations that produced them and are linked to their original publications. We do not restate, adjust or recompute them. Where we could not verify a widely circulated figure on the original publisher's site, it was cut rather than attributed vaguely.

Every first-party figure comes from the frozen Career Change Report 2026 dataset: 6,837 anonymized responses collected between January 29 and July 28, 2026. The quiz contains no burnout instrument. It asks which core career struggle a respondent selects, and one option refers to being stuck or bored. Nothing derived from it is a burnout measurement.

This is a self-selected sample of people actively questioning their career, not a representative population panel, so it describes the anatomy of disengagement rather than its prevalence. Bases vary by field and are printed with every figure. Any cross-tab row under 100 respondents is suppressed. The full sampling frame, exclusion rules and limitations are on the the sampling frame and its limits, and the dataset is available as aggregate tables and custom cuts on request: email the research team.

How to cite this page

Everything here is free to reuse under CC BY 4.0 with a link back. Charts, tables and the response-level dataset included.

MyPassion.AI (2026). Burnout Statistics 2026. Career Change Report 2026. Retrieved from https://mypassion.ai/research/burnout-statistics

If you quote the stuck-or-bored figure, please carry the qualifier with it: it measures disengagement among people questioning their career, not burnout prevalence. Third-party figures should be cited to their publishers. Need a cut we have not published? Email the research team and we will run it.
Keep reading

More from the Career Change Report 2026

Every page below cuts the same 6,837 responses a different way. Same dataset, same methodology, different question.

Also in this series: the Career Change Report 2026, career change statistics 2026, job hopping statistics 2026. The sampling frame, exclusions and suppression rules are in the research methodology, and the full index sits on the research hub. On the blog, beat burnout without quitting is the version written for the person in it, not about them.

FAQ

Questions about burnout statistics

There is no single defensible answer, and any article that gives one without naming its instrument is worth treating carefully. Published estimates differ by tens of percentage points because surveys measure different things: some ask whether someone feels burned out, others apply the three-dimension clinical construct. Even within one well-run survey the spread is large. The University of Illinois Workplace Well-Being Report 2026 found 38% of languishing employees report feeling burned out very frequently, against 29% of flourishing employees.

The World Health Organization classifies burn-out in ICD-11 as an occupational phenomenon, not a medical condition. It results specifically from chronic workplace stress that has not been successfully managed, and it has three dimensions: exhaustion, mental distance or cynicism toward the job, and reduced professional efficacy. The WHO is explicit that the term applies to the occupational context and should not be used for experiences in other areas of life.

No, and conflating them is the most common error in this topic. Burnout is a stress response involving exhaustion. Boredom is an engagement problem that can occur with no exhaustion at all, in a job with entirely reasonable demands. They can coexist and they have different remedies. Our own data measures the second, not the first, and this page keeps them separate throughout.

Which core career struggle a person selects when they come looking for direction. One of the five options reads "I'm stuck or bored in what I do now", chosen by 11.6% of 3,656 respondents. That is a measure of disengagement among career questioners. It is not a burnout prevalence estimate and should never be cited as one.

People who are already paid well and want out, at 26.2% of 714, and people with eight or more years of experience, at 22.6% of 962. The lowest rates are among students at 6.0% and the multi-interest group at 6.1%. Disengagement in this sample tracks with seniority and pay, not with hardship.

The first-party figures, tables and charts on this page are published under CC BY 4.0, with a link to this page as attribution. Third-party figures belong to the organisations that produced them and should be cited to those organisations directly, using the links provided.

Rest fixes exhaustion. It does nothing for a job that stopped asking anything of you.

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Marco Kohns, founder of MyPassion.AI

Research and analysis by Marco Kohns, founder of MyPassion.AI.

Published growth researcher (Journal of Business Research, Q1), MSc NOVA IMS Lisbon, and lecturer on AI for business at Católica Lisbon School of Business and Economics. Previously a growth product manager at a Silicon Valley scale-up operating in 100+ countries.

· · How this research is made

Disclosure: MyPassion.AI operates the career quiz that produced this data and sells a paid career report. Every figure states its base, the method is published in full, and we run custom cuts of the aggregate data for journalists and researchers on request.