Health calculator

Free weight percentile calculator

See how your weight ranks for an adult in two seconds. Enter your weight in kilograms or pounds, pick your sex, and the calculator returns your weight percentile and the share of US men or women you're heavier than — modelled with a lognormal curve and a full weight percentile chart — updated live, as you type.

InputsLive
Sex
Units
Weight
kg
How your percentile is found
Adult weight is right-skewed, so the calculator models it as lognormal — it takes the log of your weight, finds its z-score against the log-median for your sex (US men 85 kg / 187 lb, women 73 kg / 161 lb), then reads that off the normal curve to get the share of people who weigh less than you. The median weight lands at the 50th percentile.
Result
Your weight percentile
50th
85 kg (187 lb) · heavier than 50% of US men
Percentile50th
Heavier than50%
Median (men)85 kg (187 lb)
Percentile landmarks (men)
PercentileWeight
5th57 kg (126 lb)
25th72 kg (159 lb)
50th (median)85 kg (187 lb)
75th100 kg (220 lb)
90th116 kg (255 lb)
95th126 kg (278 lb)

A ranking against US adults, not a health measure. Why BMI is often better

Results are estimates. Consult a professional.

Definition

What is a weight percentile?

A weight percentile tells you where your weight ranks among other adults of the same sex. If you are in the 75th percentile, you are heavier than 75% of adults of your sex — and only 25% weigh more than you. The 50th percentile is the median, the exact middle of the population; the 90th means just one in ten adults weighs more. This weight percentile calculator takes your weight and your sex and returns that ranking instantly, against the US adult population.

Percentile is a ranking, not a measurement and not a verdict. Your weight in kilograms or pounds is a fact about you; your percentile depends on who you are compared against — your sex, and the population used as the reference. This tool uses the US adult distribution, split by sex, because men and women weigh quite differently and ranking against a combined population would be misleading. A 90 kg figure is around the 60th percentile for a US man but well into the top quarter for a US woman.

This is an adult model. Weight percentile for babies and children is read off CDC or WHO growth charts that change with age, and clinicians use those age-specific charts to flag under- or over-weight. For adults, this tool ranks you against one distribution per sex instead.
The method

How weight percentile is calculated

Adult weight is right-skewed: most people cluster around a typical figure, but a long tail of heavier people stretches out to one side. Because of that skew, weight is not a symmetric bell curve, so this calculator does not pretend it is. Instead it models weight as a lognormal distribution — meaning the natural logarithm of weight follows a normal curve, even though weight itself does not.

The calculator takes the logarithm of your weight, works out its z-score on the log scale — how many standard deviations it sits above or below the log-median — and feeds that z-score into the standard-normal cumulative distribution function (CDF). The result, as a percent, is your percentile.

z = (ln(weight) μ_log) ÷ σ_log
percentile = Φ(z) × 100 (Φ = standard-normal CDF)
US men: median 85 kg (187 lb), σ_log 0.24
US women: median 73 kg (161 lb), σ_log 0.24

Because the model works on log-weight, the median weight always lands at the 50th percentile, but the steps either side are not symmetric in kilograms: it takes more added weight to climb from the 50th to the 90th percentile than it does to fall from the 50th to the 10th. That asymmetry is exactly the right-skew that a plain bell curve would miss.

Worked example

A worked example using the weight percentile calculator

Example: a 100 kg (220 lb) man

Marcus weighs 100 kg (about 220 lb) and wants to know how that ranks for a US man. Here is exactly how the calculator scores him.

  1. Take the log of the weight. The calculator computes ln(100) ≈ 4.605, working on the log scale because weight is right-skewed.
  2. Find the z-score. Subtract the men's log-median, ln(85) ≈ 4.443, to get 0.162, then divide by σ_log (0.24): 0.162 ÷ 0.24 ≈ z ≈ 0.68. Marcus is about two-thirds of a standard deviation above the log-median.
  3. Convert the z-score to a percentile. Feeding z ≈ 0.68 into the standard-normal CDF gives about 0.75 — so roughly 75% of US men weigh less than Marcus.
100 kg (220 lb) ≈ 75th percentile (men)
Marcus is heavier than about 75% of US men. The same 100 kg scored against the US women's distribution would land near the 91st percentile — which is exactly why the calculator always asks for sex.
Reading the result

What does my weight percentile actually mean?

Your percentile is the percentage of same-sex adults who weigh less than you. The calculator states the same thing two ways — your percentile, and the "heavier than X%" line — because they are the same number. An 80th percentile means you weigh more than 80 out of every 100 adults of your sex, and 20 weigh more than you.

  • 50th percentile — the median weight for your sex. Half weigh less, half weigh more.
  • 75th percentile — heavier than three-quarters of your sex; clearly on the heavier side.
  • 25th percentile — lighter than three-quarters of your sex; clearly on the lighter side.
  • 95th / 5th percentile — the heaviest or lightest few percent of the population.
A weight percentile is a ranking, not a health assessment. It tells you how your weight compares with other people — not whether that weight is healthy for your height or build. For a health-oriented read, use the BMI percentile section below, and treat your raw weight percentile as context only.
Why not a bell curve

Why weight is skewed, not a bell curve

Height, within a sex, is almost perfectly symmetric — there are about as many people 10 cm above average as 10 cm below. Weight is different. There is a hard floor (you cannot weigh much less than your frame allows) but no real ceiling, so the distribution is right-skewed: the heavy tail stretches further than the light one, and the mean sits above the median.

That is why this calculator uses a lognormal model rather than a plain normal one. Taking the logarithm of weight pulls in the heavy tail and makes the distribution roughly symmetric, so the normal-curve maths applies to log-weight. The practical effect: the gap between the 50th and 90th percentile is wider, in kilograms, than the gap between the 10th and 50th — which matches what real population data shows.

If a calculator treats adult weight as a simple bell curve, it will overstate how common very light weights are and understate the heavy tail. Modelling log-weight as normal is the standard fix for right-skewed body data.
Context

Average weight for US adults by sex

The calculator scores you against the US adult distribution for your sex. The table below shows the median and average (mean) weight this model uses, in both kilograms and pounds, so you can see the reference figures behind your percentile.

Sex (US adults)Median weightAverage (mean) weight
Men85 kg (187 lb)87.5 kg (193 lb)
Women73 kg (161 lb)75 kg (165 lb)

NHANES-style US adult figures. The mean sits above the median for both sexes — the signature of a right-skewed distribution. These are population figures for adults overall, not adjusted for height or age.

Notice the mean is higher than the median in both rows. On a symmetric bell curve they would be equal; the gap here is the right-skew at work. It also means a calculator that compares you with the average weight rather than the median will place you slightly lower — the median (50th percentile) is the fairer middle, and it is what this tool uses.

The chart

Weight percentile chart for US adults

Most people want to see the whole range, not just their own number. The chart below runs the model across common weights and reports the percentile for each, by sex. Find the weight nearest yours and read across — the same reference most calculators split across separate male and female pages, on one table.

WeightMen's percentileWomen's percentile
120 lb (54 kg)3rd11th
140 lb (64 kg)11th28th
160 lb (73 kg)26th49th
180 lb (82 kg)43rd68th
190 lb (86 kg)52nd76th
200 lb (91 kg)61st82nd
220 lb (100 kg)75th90th
240 lb (109 kg)85th95th
260 lb (118 kg)91st98th

Percentiles computed from the lognormal model (US men: median 85 kg; US women: median 73 kg; σ_log 0.24 each). An approximate model of US adults overall.

The two columns make the sex difference concrete: 160 lb is below-average for a US man (26th percentile) but right at the median for a US woman (49th). The roughly 26 lb gap between the male and female medians shifts the whole curve.
The other direction

What weight reaches each percentile?

You can also read the model the other way: pick a percentile and see the weight that reaches it. This is the table to use if you want to know, say, what you would weigh at the 25th or the 90th percentile for your sex.

PercentileMen's weightWomen's weight
5th126 lb (57 kg)108 lb (49 kg)
10th138 lb (63 kg)118 lb (54 kg)
25th159 lb (72 kg)137 lb (62 kg)
50th (median)187 lb (85 kg)161 lb (73 kg)
75th220 lb (100 kg)189 lb (86 kg)
90th255 lb (116 kg)219 lb (99 kg)
95th278 lb (126 kg)239 lb (108 kg)
99th327 lb (148 kg)281 lb (128 kg)

Weights are the lognormal model's value at each percentile, rounded (US men: median 85 kg; US women: median 73 kg; σ_log 0.24 each). The widening gaps toward the top are the right-skew.

A better health read

Why BMI percentile is often more meaningful than weight percentile

A raw weight percentile ignores one obvious thing: height. A 90 kg figure means something very different on a 165 cm frame than on a 195 cm frame, yet both score the same weight percentile. That is why, for any question about whether a weight is healthy, the BMI — weight divided by height squared — is usually the more meaningful number.

  • Weight percentile ranks you against other adults of your sex by weight alone — useful for context, but blind to height.
  • BMI normalises weight for height, so it compares like with like and underpins the standard underweight / healthy / overweight bands.
  • For children, clinicians use BMI-for-age percentiles, not weight percentiles, for exactly this reason.
Use this weight percentile calculator to see where your weight ranks in the population, then check your BMI to judge whether that weight is in a healthy range for your height. The two answer different questions.
Read with care

How accurate is this weight percentile calculator?

For the question it answers — roughly where an adult weight ranks in the US population by sex — the lognormal model is a reasonable approximation, because adult weight really is close to lognormal and the medians used are well established. But several honest limits are worth knowing.

  • It is an approximate lognormal model. Real weight data is close to lognormal but not exactly so, so treat the result as an estimate of your ranking — accurate to a few percentile points, looser at the extreme tails.
  • It does not adjust for height. Weight percentile compares you with all adults of your sex regardless of height. For a health-aware comparison, use BMI instead.
  • It does not adjust for age. The figures are for US adults overall; average weight varies with age, so a single distribution per sex is a simplification.
  • It is a US adult model. If you live elsewhere, your true percentile against your own country's population may differ.
  • Sex is binary in this model because the published distributions are reported for men and women separately; pick whichever distribution you want to be ranked against.
Treat the result as a well-grounded estimate of your weight ranking among US adults of your sex — and remember a percentile is a ranking, not a measure of health.
Methodology

Data sources and methodology

The population parameters are NHANES-style US adult figures from the CDC's National Health and Nutrition Examination Survey: median weights of about 85 kg (187 lb) for men and 73 kg (161 lb) for women, with a log-scale spread (σ_log 0.24) chosen so the implied means (~87.5 kg men, ~75 kg women) and standard deviations (~18–21 kg) match published adult figures. The percentile is computed by taking the z-score of the log of your weight and applying the standard-normal cumulative distribution function, implemented via the Abramowitz & Stegun (7.1.26) error-function approximation.

US adult weight figures: CDC / National Health and Nutrition Examination Survey (NHANES), Anthropometric Reference Data.Body-weight distribution modelled as lognormal (the standard approach for right-skewed anthropometric data).
Questions

Frequently asked questions about the free weight percentile calculator

A weight percentile calculator is a free online tool that helps you find your weight percentile among US adults by sex — see what share of men or women you're heavier than, with a full weight percentile chart. Adult weight is right-skewed, so it's modelled as lognormal: your weight's log is converted to a z-score and read off the normal distribution to give the share of same-sex US adults who weigh less than you. It runs entirely in your browser with instant results and no sign-up.
Your weight percentile is the percentage of adults of your sex who weigh less than you. If you're at the 75th percentile, you are heavier than 75% of people your sex, and only 25% weigh more. The 50th percentile is the median — the exact middle. It is a ranking against a population, not a measure of health.
Adult weight is right-skewed — a long tail of heavier people — so it is modelled as lognormal: the calculator takes the natural log of your weight, finds its z-score against the log-median for your sex, then uses the standard-normal cumulative distribution function to convert that into the percentage of people who weigh less than you.
Men and women weigh quite differently — US men have a median around 85 kg (187 lb) and women around 73 kg (161 lb) — so the same weight ranks very differently for each. A 200 lb woman is a much higher percentile than a 200 lb man. Ranking against a combined population would be misleading, so your percentile is computed within your sex.
Not necessarily. Weight percentile ignores height — a high percentile on a tall, muscular frame is very different from the same percentile on a short frame. To judge whether a weight is healthy, use BMI, which normalises weight for height, rather than the raw weight percentile.
Yes. It ranks your weight against the US adult distribution by sex, using NHANES-style figures (median 85 kg / 187 lb for men, 73 kg / 161 lb for women). Average weight varies between countries, so if you live elsewhere your true percentile against your own country's population may differ.
Because adult weight is right-skewed — there's a hard floor but no real ceiling, so the mean sits above the median. A plain bell curve would understate the heavy tail. Taking the log of weight makes the distribution roughly symmetric, so the normal-curve maths applies to log-weight. It's the standard approach for right-skewed body data.
About

About this weight percentile calculator

This weight percentile calculator runs entirely in your browser — your weight never leaves your device. It models adult weight as a lognormal distribution and reads your weight off the US curve for your sex, updating instantly as you type.

Calculators Cloud offers 400+ free tools with no sign-up. The Health calculators shelf includes the BMI, height percentile, and healthy weight tools alongside this one. Or browse the full calculator directory.

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