Delusion Calculator – What Share of People Match Your Standards?
Pick your must-haves — an age range, a height, an income and more — and see what share of US adults match all of them at once, from Census Bureau and CDC statistics.
💛 A reality check, never a judgment — every multiplication shown.
Your list
🔒 Everything is calculated in your browser — nothing you pick leaves your device.
Who matches the whole list?
How the list narrows, step by step
A very short list — on paper
Numbers this small are what multiplication does: four reasonable picks, each keeping a fraction, and the fractions compound. It does not mean nobody like this exists — the count above is real people, in every city. It just means a list is a filter, and filters are ruthless.
Key takeaways
- Each criterion keeps a known share of the US adult population, and the calculator multiplies those shares — so a list of individually common picks can still match very few people.
- Every figure comes from a named United States source — the Census Bureau and the CDC — and the data tables below print the exact shares, thresholds and population totals built into the calculator.
- The result is an estimate that treats the traits as independent: read it as roughly this size, never as an exact count, and never as a judgment of anyone’s standards.
Contents
Everyone carries a list: an age range, a height, an income, a few must-haves. This page simply does the arithmetic on that list, using real United States statistics from the Census Bureau and the CDC. Pick your criteria and it shows what share of American adults match all of them at once, one honest step at a time. Treat it as a friendly reality check, not a judgment — a small percentage says something about how lists multiply, and nothing at all about your worth or anyone else’s. And because real traits travel together, the answer is an estimate, labelled as one, with every source shown.
Watch the pool shrink
Each pick keeps a slice of the slice before it. This is the same multiplication as the result above, drawn as bars — start at everyone, end at the people who match the whole list.
The last two bars are drawn at a minimum width so they stay visible — at true scale, 0.089% of this line would be thinner than a hair. The labels always carry the real numbers.
Why this is an estimate, stated plainly
Multiplying the shares treats each trait as independent — as if height, income, age and marital status had nothing to do with each other. In real life they do travel together: income rises with age, marriage rises with age, and so on. So the true share for any one list could be somewhat higher or lower than the product. What the product does honestly is show the shape of the thing: how quickly a list of individually reasonable requirements narrows a country of 128 million men or 133 million women down to a small room. Read the result as “roughly this size”, never as an exact census of your dating pool.
The data behind the filters
The exact numbers the calculator is built on — printed in full, so any result on this page can be checked by hand.
Everything the calculator does rests on the numbers in the tables below. They are not illustrations, and they are not a second dataset brought in to decorate the page: they are the exact shares, thresholds and population totals built into the tool at the top of this page, printed in full so that any result can be reproduced. Pick any list, read the share for each criterion from these tables, multiply the shares together, and the product is the percentage the calculator shows. Each table names its source and the years it covers, and the section after the tables states the coverage — and its limits — in one place.
Population bases
| Population | Adults (18 and over) | Source |
|---|---|---|
| Men | 128,176,146 | Census Bureau, American Community Survey 2020–2024 |
| Women | 133,228,519 | Census Bureau, American Community Survey 2020–2024 |
The calculator applies its final percentage to the matching base to produce the “roughly how many people” line under the result. These two totals are the only population figures the tool uses.
Age distribution
| Age band | Share of adults | Picker setting |
|---|---|---|
| Any age (18 and over) | 100% | No age filter |
| 20 to 24 | 8.6% | 20 to 24 |
| 25 to 34 | 18.1% | 25 to 34 |
| 35 to 44 | 17.5% | 35 to 44 |
| 45 to 54 | 16.1% | 45 to 54 |
| 55 to 64 | 16.8% | 55 to 64 |
| 65 and over | 22.8% | 65 and over |
Source: U.S. Census Bureau, American Community Survey 2020–2024 (5-year estimates) — published counts of the population by age group, turned into shares of adults. One distribution serves both populations, because the age mix differs only slightly between men and women. The six bands sum to 99.9% rather than 100% because each share is rounded to one decimal place.
Height thresholds — men
| Minimum height | Share of men at least this tall |
|---|---|
| No minimum | 100% |
| 5 ft 8 in (173 cm) | 62.2% |
| 5 ft 10 in (178 cm) | 35.2% |
| 5 ft 11 in (180 cm) | 23.4% |
| 6 ft 0 in (183 cm) | 14.3% |
| 6 ft 2 in (188 cm) | 3.9% |
Source: CDC, National Health and Nutrition Examination Survey (NHANES), August 2021–August 2023 (NCHS Series 3, No. 50), which measures height rather than asking about it. The survey average for men is 68.9 inches; the shares are estimated by spreading that average along the standard bell curve for adult height, with a spread of about 2.9 inches — the method stated under the height picker.
Height thresholds — women
| Minimum height | Share of women at least this tall |
|---|---|
| No minimum | 100% |
| 5 ft 2 in (157 cm) | 71.1% |
| 5 ft 4 in (163 cm) | 42.7% |
| 5 ft 6 in (168 cm) | 17.7% |
| 5 ft 8 in (173 cm) | 4.8% |
| 5 ft 10 in (178 cm) | 0.8% |
Source: CDC NHANES, August 2021–August 2023 (NCHS Series 3, No. 50). The survey average for women is 63.5 inches; the shares are estimated from the same bell-curve method, with a spread of about 2.7 inches. The two height tables have different thresholds because the picker offers each population the thresholds near its own distribution.
Income thresholds (2024)
| Income criterion | Men — cut-off | Men — share of earners | Women — cut-off | Women — share of earners |
|---|---|---|---|---|
| No minimum | — | 100% | — | 100% |
| Above the median | $60,110+ a year | 50% | $47,000+ a year | 50% |
| Top 10% of earners | $179,201+ a year | 10% | $127,600+ a year | 10% |
| Top 5% of earners | $250,005+ a year | 5% | $173,011+ a year | 5% |
Source: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement 2025 (incomes earned in 2024), percentile cut-offs tabulated from the survey by IPUMS. The shares are among people who have earnings — the survey’s own frame — which is why the median row keeps exactly half of earners by construction, and why the calculator labels the frame wherever these figures appear.
Marital status and build
| Criterion | Share of men | Share of women | Source |
|---|---|---|---|
| Never married | 34.4% | 34.4% | Census Bureau, ACS 2020–2024 |
| Not married right now | 50.6% | 50.6% | Census Bureau, ACS 2020–2024 |
| Not obese — BMI under 30 | 60.8% | 58.7% | CDC NHANES, Aug 2021–Aug 2023 |
The marital shares are a single table serving both populations. “Not married right now” adds the never-married 34.4% to the divorced (10.6%) and widowed (5.6%). The build shares are what remains after measured obesity prevalence in the same NHANES cycle — 39.2% of men and 41.3% of women (NCHS Data Brief No. 508) — so 60.8% and 58.7% respectively do not have obesity.
Dataset vintage and coverage
Which surveys, which years, which country — and what the dataset does not cover.
Geography and population. Every figure in the calculator covers the United States, nationally. There is no state, city or regional breakdown anywhere in the dataset: a result is a share of the whole country, applied to a national base of 128,176,146 men or 133,228,519 women aged 18 and over. The calculator cannot narrow a pool to where anyone actually lives, and the national figure should be read as a sense of scale rather than a count of a local pool.
Age and marital status — American Community Survey 2020–2024. These shares come from the Census Bureau’s 5-year estimates covering 2020 through 2024. The age bands are the survey’s published population counts turned into shares of adults, running from 20 to 24 up to 65 and over; the “any age” setting applies no age filter at all. Marital status is reported in the survey for adults aged 15 and over, and the same marital table serves both populations in the calculator.
Height and build — NHANES, August 2021 to August 2023. The CDC’s National Health and Nutrition Examination Survey measures the people it examines rather than asking them to report themselves, and this cycle runs from August 2021 to August 2023. One detail deserves to be plain: the height shares in the tables above are not direct survey tabulations. They are estimated from the survey’s measured averages — 68.9 inches for men and 63.5 inches for women — spread along the standard bell curve for adult height. The build share, by contrast, is a direct survey figure: measured obesity prevalence from NCHS Data Brief No. 508, from the same NHANES cycle.
Income — Current Population Survey ASEC 2025, incomes of 2024. The income cut-offs are the Census Bureau’s percentile points for personal income, from the Annual Social and Economic Supplement published in 2025 and covering money earned in calendar year 2024, tabulated from the survey by IPUMS. They are shares among people with earnings, not among all adults — the frame the survey itself uses, and the reason the calculator states the frame next to the figures.
What the dataset does not contain. The calculator holds exactly five filters — age, height, income, marital status and build — because those are the traits its sources publish as clean population shares. Anything else a list might include, from education to occupation to geography to the preferences of the other person, is simply not in the dataset, and no result on this page says anything about it. The dataset is also a snapshot: the figures are built into the page and do not refresh on their own when a new survey year appears. The vintages named above — ACS 2020–2024, NHANES August 2021–August 2023, CPS ASEC 2025 for 2024 incomes — are the ones in force for every result this page produces.
How a list narrows, filter by filter
The calculator’s two worked examples, walked through one criterion at a time.
A single final percentage hides the path that produced it. The two tables below walk the calculator’s own worked examples through one filter at a time, in the same order the calculator applies them — age, then height, then income, then marital status, then build. “Share it keeps” is the criterion’s own share, taken from the data tables above. “Share remaining” is the running product up to that row. The last column turns the running product into people, using the population bases from the first data table. Every row was produced by the calculator itself, run with exactly the settings shown, so the tables and the tool cannot drift apart: set the same list in the calculator and the step-by-step panel in the result shows these same shares.
Example 1 — the list loaded when this page opens (men)
| Step | Criterion added | Share it keeps | Share remaining | Adults remaining (approx) |
|---|---|---|---|---|
| 0 | Starting point — all US men | — | 100% | 128,176,146 |
| 1 | Age 25 to 34 | 18.1% | 18.1% | 23,199,882 |
| 2 | 6 ft 0 in or taller | 14.3% | 2.59% | 3,317,583 |
| 3 | Top 10% income | 10% | 0.259% | 331,758 |
| 4 | Never married | 34.4% | 0.089% | 114,125 |
Settings: Men; age 25 to 34; minimum height 6 ft 0 in; top 10% income; never married; any build. The final row is the headline result the calculator shows for this list — 0.089%, about 1 in 1,123 men.
Example 2 — the matching worked example for women
| Step | Criterion added | Share it keeps | Share remaining | Adults remaining (approx) |
|---|---|---|---|---|
| 0 | Starting point — all US women | — | 100% | 133,228,519 |
| 1 | Age 25 to 34 | 18.1% | 18.1% | 24,114,362 |
| 2 | 5 ft 6 in or taller | 17.7% | 3.2% | 4,268,242 |
| 3 | Above-median income | 50% | 1.6% | 2,134,121 |
| 4 | Not married right now | 50.6% | 0.811% | 1,079,865 |
Settings: Women; age 25 to 34; minimum height 5 ft 6 in; above-median income; not married right now; any build. Final result 0.811% — about 1 in 123 women.
One more filter shows the pattern continuing. Add “not obese — BMI under 30” to the men’s list in Example 1 and the build share, 60.8%, multiplies the 0.089% down to 0.054% — about 1 in 1,847 men, roughly 69,388 people. Nothing about the earlier filters changed. Each added criterion can only keep the same people or fewer, and because the shares multiply, the order of the rows makes no difference to the final number: it is the shares themselves, not their sequence, that decide how small a list lands.
Pairs well with this calculation
The body-and-numbers shelf, if you want to check a single trait at a time.
How to read your list in three steps
Write the list down
Age band, minimum height, income, marital status, build — the things you would actually hold out for. Every criterion has a real statistic behind it, shown under each picker, so nothing here is a vibe.
Multiply the shares
If 18.1% of adults are in the age band and 14.3% are tall enough, then about 18.1% of 14.3% — roughly 2.6% — are both, assuming the traits are independent. Each extra pick multiplies in its own share the same way.
Read it kindly
The percentage is information, not a sentence. It can tell you a list is doing a lot of filtering; it cannot tell you what to want, and it says nothing about connection, kindness or timing — the parts of matching that statistics cannot see.
How the delusion calculator works
match share = age share × height share × income share × marital share × build share
The example on this page. Men, age 25 to 34, at least 6 ft 0 in, top 10% income, never married. The Census Bureau puts 18.1% of adults in the 25 to 34 band. The CDC’s measured heights put about 14.3% of men at 6 ft 0 in or taller. The Census income survey puts 10% of male earners in the top 10% by definition of the cut-off — $179,201 a year in 2024. And 34.4% of adults have never married. Multiply: 18.1% × 14.3% × 10% × 34.4% = 0.089%. About 1 in 1,123 men, or roughly 114,125 people across the United States.
The same list, for women. Age 25 to 34 (18.1%), 5 ft 6 in or taller (17.7% by the CDC’s measured average for women), above-median income (50% of female earners, $47,000 or more in 2024), and not married right now (50.6%). The product is 0.811% — about 1 in 123 women, roughly 1,079,865 people. Two lists that sound equally strict can land in very different places, because the underlying distributions differ.
Why each factor is a share, not a score. Nothing here grades anyone. A share is just a headcount in disguise: 14.3% is another way of saying “about one man in seven”. The calculator’s whole job is chaining those headcounts honestly and showing the chain, so you can see exactly which pick did the narrowing.
Going deeper
The multiplication on this page assumes independence: that knowing someone clears one bar tells you nothing about the others. Real life is not built that way. Income climbs steeply with age until the fifties, so “25 to 34” and “top 10% income” overlap less than the product implies, while “45 to 54” and “top 10%” overlap more. Marriage also climbs with age, height barely changes, and build shifts slowly across adulthood. For some lists the true share is therefore higher than the product, for others lower — sometimes by a noticeable factor, rarely by an order of magnitude.
Why multiply anyway? Because the joint tables — the share of, say, never-married 25-to-34-year-old men over 6 ft with top-decile incomes — are not published anywhere; no survey reports every combination. The product of the published margins is the standard first approximation, and this page uses it with the label on: an estimate that shows the shape and rough size of a pool, honestly sourced at every step, and never dressed up as an exact count of anyone’s prospects.
Age bands. U.S. Census Bureau, American Community Survey 2020–2024 (5-year estimates): published counts of the population by age group, turned into shares of adults aged 20 and over — 20 to 24: 8.6%, 25 to 34: 18.1%, 35 to 44: 17.5%, 45 to 54: 16.1%, 55 to 64: 16.8%, 65 and over: 22.8%. The age mix differs only slightly between men and women, so one table serves both.
Height. CDC, National Health and Nutrition Examination Survey (NHANES), August 2021–August 2023 (NCHS Series 3, No. 50), which measures height rather than asking: average 68.9 inches for men and 63.5 inches for women. Shares at each threshold are estimated by spreading those averages along the standard bell curve for adult height (a spread of about 2.9 inches for men and 2.7 for women). As a check, the curve puts about 14.3% of men at 6 ft 0 in or taller, right where published summaries of the same survey put it.
Income. U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement 2025 (incomes earned in 2024), percentile cut-offs tabulated from the survey by IPUMS. For men: median $60,110, top 10% from $179,201, top 5% from $250,005. For women: median $47,000, top 10% from $127,600, top 5% from $173,011. These are shares among people with earnings — the survey’s own frame — and the page says so wherever the figures appear.
Marital status. American Community Survey 2020–2024, adults 15 and over: 34.4% have never married; adding the divorced (10.6%) and widowed (5.6%) gives 50.6% not married right now.
Build. NCHS Data Brief No. 508 (NHANES, August 2021–August 2023): obesity prevalence 39.2% in men and 41.3% in women, so 60.8% and 58.7% respectively do not have obesity.
Population totals. American Community Survey 2020–2024: 128,176,146 men and 133,228,519 women aged 18 and over — the bases for the “roughly how many people” line.
Two meanings of delusion: the calculator and the clinic
This page uses the word delusion in its everyday, meme sense. Medicine uses the same word differently, and the difference matters.
The calculator above is a statistics toy built around a viral meme about dating checklists. You set criteria on a list, and it estimates what share of adults in the United States meet all of them at once, using Census Bureau and CDC numbers. It is a lesson in how quickly a list of reasonable-sounding requirements narrows a pool to almost nobody. It is not a test, a screening tool, or a diagnosis of anything, and its result says nothing about any person’s mental health, including yours. The filters are preferences and demographics, not symptoms, and the percentages are population statistics, not judgements.
In medicine, a delusion is a fixed belief held with conviction despite clear evidence against it, and delusional disorder is a condition in which such beliefs are the main feature, lasting at least a month. That is a different subject from this calculator, with different stakes, and it is covered in full in the companion guide linked below, which explains the recognised types, the signs other people notice first, how long delusions can last, and how to get help. If you came here looking for information about delusions as a health matter, the guide is the relevant page, and a doctor or mental health professional is the relevant next step. If you came for the statistics toy, enjoy it for what it is — and do not mistake its output for a statement about anyone’s health.
Frequently asked questions
What is a delusion calculator?
The name comes from a viral meme about dating checklists. This version is a statistics toy for anyone: set the criteria on a list — yours, or one someone swears by — and it estimates what share of US adults meet all of them at once, using Census Bureau and CDC numbers. It is deliberately respectful: the point is the arithmetic, not mocking anyone’s standards.
How is the percentage calculated?
Each criterion keeps a known share of the population, taken from published statistics: the share in the age band, the share at least that tall, and so on. The calculator multiplies those shares together. If 18.1% are in the age band and 14.3% are tall enough, about 2.59% are both — then income and the rest multiply in the same way, and the ‘1 in X’ figure is simply 100 divided by the final percentage.
Where do the statistics come from?
Age and marital status come from the Census Bureau’s American Community Survey, 2020–2024. Height and obesity come from the CDC’s National Health and Nutrition Examination Survey, August 2021 to August 2023, which measures people rather than asking them. Income comes from the Census Bureau’s Current Population Survey ASEC 2025, covering 2024 incomes. A source note sits under every picker in the calculator, and the deep-dive section above lists every figure.
Why does the match get so small so fast?
Because fractions multiply. A pick that keeps half the pool, followed by one that keeps a third, leaves a sixth — and a typical list has four or five picks. Each requirement can be individually common while the combination is rare. That is the whole insight of this page: the narrowing is a property of lists, not a flaw in anyone’s character.
Does a small percentage mean my standards are too high?
No. The calculator measures how common a combination is, not whether wanting it is reasonable. Plenty of people happily hold out for rare combinations, and plenty of matches ignore checklists entirely — chemistry, kindness, timing and geography never appear in these tables. Use the number as a reality check about population sizes, not as advice about your life.
Why are the income figures counted among workers?
Because that is how the Census Bureau’s income survey reports personal income: as percentiles among people who have earnings. The cut-offs shown — for example $179,201 for the top 10% of male earners in 2024 — are the survey’s own percentile points, so the shares (top half, top 10%, top 5%) are exact for that group. The calculator labels this openly rather than quietly mixing populations.
What population does this calculator cover?
United States adults. The population bases built into the calculator are 128,176,146 men and 133,228,519 women aged 18 and over, from the Census Bureau’s American Community Survey 2020–2024. Every filter share comes from the United States sources listed in the data tables on this page, so the result describes the national adult population — not a single city, campus or dating app.
Can I check the numbers behind each filter?
Yes. The data tables on this page list every share the calculator uses — the age distribution, the height and income thresholds for men and women, the marital-status shares and the build share — exactly as they are built into the tool, each with its source and the years it covers. The step-by-step panel in the result then shows those same shares being multiplied together for your own list.
Why does the calculator multiply the shares instead of counting the combined group directly?
Because no published survey reports every combination at once — there is no official table of, for example, never-married adults in one age band who are also above a height and an income threshold. Multiplying the published share for each trait is the standard first approximation. It treats the traits as independent, which real life only roughly obeys, so the result is an estimate of size rather than an exact count.
Does a small result mean there is nobody to meet where I live?
No. The percentage is national: it is applied to more than 128 million men or 133 million women, so even the 0.089% of the example on this page is roughly 114,125 people across the United States. Local pools vary a great deal — a large city concentrates people, and age, work and social circles filter a pool further — so read the national figure as a sense of scale, not as a count of anyone’s local options.
Is the Delusion Calculator a medical test?
No. It is a statistics toy built around a viral meme about dating checklists. It estimates what share of adults meet a set of criteria at once, using Census Bureau and CDC numbers. It does not assess, screen, or diagnose anything, and its result says nothing about any person mental health. The companion guide explains delusions as a health matter, and a clinician is the right next step for any health question.
What is the difference between this calculator and delusional disorder?
This calculator uses the word delusion in its everyday sense, for a checklist of dating requirements that narrows a pool to almost nobody. Delusional disorder is a medical condition in which fixed false beliefs are the main feature, lasting at least a month. The two share a word and nothing else. The companion guide covers the medical subject in full: types, signs, duration, causes, and treatment.
Where can I read about delusions as a health topic?
In the companion guide, Delusional Disorder: Types, Signs, and How Long Delusions Last, linked in the Related grid below. It explains the recognised types, the signs other people notice first, how long delusions can last, and how to get help, including what to do if someone may be at risk. Nothing on this site can diagnose anyone; only a qualified clinician, after a proper assessment, can do that.