BMI Calculator: Adult, Child, Asian & Amputee | StatsUnlock

Calculate first, then download your result as a plain text file.

A BMI calculator divides your weight in kilograms by your height in metres squared.

Adults: under 18.5 is underweight, 18.5 to 24.9 healthy, 25 to 29.9 overweight, 30 or more obese. In US units, use 703 × lb ÷ in².

Rule of thumb: for Asian adults, 23 counts as overweight. Children use CDC percentiles.

Body mass index (BMI) is a number that compares your weight with your height. It equals your weight in kilograms divided by the square of your height in metres. Doctors use it as a quick first screen for underweight, overweight and obesity in adults.

Every BMI calculator, including this one, uses the same core formula. The idea is old. A Belgian scientist, Adolphe Quetelet, noticed in the 1830s that adult weight rises roughly with the square of height. In 1972, Ancel Keys and colleagues tested several weight-for-height indices and named this one the body mass index, because it tracked body fat better than the others they tried. The World Health Organization (WHO) later set the adult cut-offs that most countries use today.

A worked one-liner: a person who weighs 70 kg and stands 175 cm tall has a BMI of 70 ÷ (1.75 × 1.75) = 70 ÷ 3.0625 = 22.9 kg/m². That sits in the healthy range.

Who uses BMI, and why?

Family doctors, the NHS, the CDC, insurers and researchers all use BMI because it needs only a scale and a tape, it costs nothing, and it is the same everywhere. Large studies link high and very low BMI with higher risk of type 2 diabetes, heart disease and early death. That makes it a sensible first question. It is not the last one.

BMI compared with other body measures

What to conclude: BMI is the best first screen because it is simple and universal. Pair it with waist-to-height ratio when muscle or body shape could mislead.

4.1 What your number means

4.2 How far you are from the healthy range

4.3 What the BMI categories mean for health

Underweight (below 18.5) is linked with weak bones, low immunity and fertility problems. The healthy range (18.5 to 24.9) has the lowest average risk in large studies. Overweight (25 to 29.9) raises the risk of high blood pressure and type 2 diabetes. Obesity (30 and above) raises those risks further and adds sleep apnoea, joint pain and some cancers. Risk climbs gradually. Nothing magic happens at 25.0.

4.4 Your result under other standards

4.5 Your waist, body fat and energy needs

4.6 Why BMI can be wrong for you

BMI counts every kilogram the same, whether it is muscle, bone, water or fat. A rugby player and a desk worker can share a BMI of 28 and have very different health. BMI also tends to underrate fat in older adults, who lose muscle as they age, and in many Asian adults, who carry more body fat at the same BMI. Pregnancy makes BMI meaningless because the baby, fluid and placenta add weight.

4.7 What to do next

4.8 Common mistakes this BMI calculator prevents

• Using adult cut-offs on a child. The Child & Teen tab switches to CDC percentiles automatically.
• Ignoring ethnicity. You can switch to Asian, Japanese or NICE thresholds, which flag risk at a lower BMI.
• Forgetting a missing limb. The Amputee tab corrects weight, so BMI is not falsely low.
• Mixing units. Switching units converts your numbers, so 175 cm never becomes 175 inches.
• Unsafe calorie targets. The calorie plan never goes below 1,500 kcal for men or 1,200 kcal for women, and never shows a weight-loss plan when your BMI is already under 18.5.
• Rounding at the edge. The category uses the same one-decimal BMI you see, so 24.96 shows as 25.0 and is labelled overweight, with no mismatch between number and label.

4.9 What the StatsUnlock team recommends

Read your BMI as a range, not a point. Normal daily swings in water and food move weight by 1 to 2 kg, which is 0.3 to 0.7 BMI points for most adults. So a single reading of 25.0 tells you far less than three readings averaged over a month. Pick the right standard before you react: for a South Asian woman of 165 cm, the top of the healthy range is 62.3 kg on the Asian scale and 67.8 kg on the WHO scale, a 5.4 kg difference from the same BMI calculator. And if you lift weights, trust your waist-to-height ratio over your BMI category.

The BMI calculator builds five ready-made notes from your numbers. Copy the one you need.

Using this BMI calculator takes under a minute. The worked example below runs through every step: a 30-year-old man, 175 cm tall, 70 kg.

1. Pick a mode. Choose Adult BMI for ages 18 and over, Child & Teen for ages 2 to 19, Amputee for limb loss, or Reverse BMI to find a target weight. The example uses Adult BMI.
2. Choose your units. Pick a height unit (cm, metres, feet and inches, or inches) and a weight unit (kg, pounds, or stone and pounds). Switching converts any numbers already typed, so nothing is lost.
3. Enter sex and age. Pick male, and type 30. Sex and age do not change BMI, but they drive the body fat and calorie estimates.
4. Enter your height. Type 175 in the centimetre box, measured without shoes against a wall.
5. Enter your weight. Type 70 in the kilogram box, ideally from a morning weigh-in.
6. Pick a cut-off standard. Leave WHO international for most adults, or choose Asian, Japanese or NICE thresholds if they apply to you.
7. Add advanced options. Optionally open Advanced options to add a waist measurement, your activity level and an athlete flag.
8. Press Calculate BMI. The result panel shows 22.9 kg/m2, Healthy weight, and a healthy range of 56.7 to 76.3 kg.
9. Read Section 2. Scroll to Your BMI Results for body fat (18.1%), BMR (1,649 kcal), maintenance calories, two charts and a category table.
10. Save or share. Use Download TXT, Download Doc or Download PDF, or copy one of the five ready-made notes in Section 5.

Excel has no BMI function, but you only need one short formula. The parts that trip people up are the unit conversion (centimetres to metres), rounding at category edges, and turning the number into a category label. Every step below uses the same worked example as the BMI calculator above: 70 kg and 175 cm, so you can check Excel against it.

8.1 The functions you need

8.2 Step by step

8.3 The awkward cases

• Height in metres already. If your column holds 1.75, use =A2/B2^2. Dividing 1.75 by 100 again gives a BMI of 228,571.
• Feet and inches in one cell. "5'9" is text. Split it into two number columns first, then use =E2*12+F2.
• Asian cut-offs. Swap the thresholds: =IFS(D2<18.5,"Underweight",D2<23,"Healthy",D2<27.5,"Overweight",TRUE,"Obese").
• Amputation. Adjust weight first: =A2/(1-G2/100), where G2 is the total percent missing, for example 5.9.

8.4 Why your Excel answer might differ from R, Python or this calculator

The metric formula gives identical results everywhere: 22.857 in Excel, R, Python and this page. Small differences come from two places. First, the US formula uses 703 as a shortcut. The exact factor is 703.0696, so 154.3 lb at 68.9 in gives 22.855 in Excel's =703*A2/B2^2 but 22.857 here, because this tool converts to kilograms and metres first. Second, rounding. Excel's ROUND rounds halves away from zero, while some languages round halves to the nearest even digit, and binary floating point can store 22.85 as 22.8499999. These only matter when BMI lands exactly on a half, and they never shift the answer by more than 0.1.

8.5 Charting BMI in Excel

Select your names and rounded BMI values, then choose Insert, then Clustered Column. Add horizontal reference lines at 18.5, 25 and 30 by adding three extra series with the same value in every row and changing their chart type to Line. Colour the healthy band green so the eye goes straight to it.

8.6 Error messages and fixes

9.1 The complete script

R, base only, saves bmi_plot.png at 300 dpi

# ============================================================
# BMI calculator in R: BMI, category, healthy range, child percentile
# StatsUnlock - https://statsunlock.com/bmi-calculator/
# Base R only. No packages to install.
# ============================================================

# ---- 1. Your data (weight in kg, height in cm) ----------------
people <- data.frame(
  name   = c("A", "B", "C", "D", "E"),
  weight = c(70, 102, 48, 76.6, 95),
  height = c(175, 170, 172, 175, 183)
)
# Or load a file:  people <- read.csv("people.csv")
people <- people[complete.cases(people), ]   # drop rows with missing values

# ---- 2. BMI and category --------------------------------------
h_m          <- people$height / 100
people$bmi   <- people$weight / h_m^2
people$bmi1  <- round(people$bmi, 1)
people$category <- cut(people$bmi1,
                       breaks = c(-Inf, 18.5, 25, 30, Inf),
                       right  = FALSE,
                       labels = c("Underweight", "Healthy", "Overweight", "Obese"))

# ---- 3. Healthy weight range for each height -------------------
people$healthy_min <- round(18.5 * h_m^2, 1)
people$healthy_max <- round(24.9 * h_m^2, 1)
print(people[, c("name", "bmi1", "category", "healthy_min", "healthy_max")])

# ---- 4. Child BMI-for-age percentile (CDC LMS method) ---------
# Boy, 10 years 0 months (use the 120.5 month row of bmiagerev.csv)
L <- -2.76565; M <- 16.64614; S <- 0.120112
child_bmi <- 40 / 1.40^2
z   <- ((child_bmi / M)^L - 1) / (L * S)
pct <- pnorm(z) * 100
cat(sprintf("Child BMI %.2f is at percentile %.1f\n", child_bmi, pct))

# ---- 5. Plain-English verdict ---------------------------------
for (i in seq_len(nrow(people))) {
  cat(sprintf("%s: BMI %.1f, %s. Healthy weight %.1f to %.1f kg.\n",
              people$name[i], people$bmi1[i], as.character(people$category[i]),
              people$healthy_min[i], people$healthy_max[i]))
}

# ---- 6. One 300 dpi figure ------------------------------------
cols <- c(Underweight = "#93c5fd", Healthy = "#16a34a",
          Overweight = "#f59e0b", Obese = "#ea580c")
png("bmi_plot.png", width = 2000, height = 1400, res = 300)
par(mar = c(4, 4, 2, 1))
bp <- barplot(people$bmi1, names.arg = people$name,
              col = cols[as.character(people$category)],
              ylim = c(0, 40), ylab = "BMI (kg/m2)",
              main = "BMI with WHO cut-offs")
abline(h = c(18.5, 25, 30), lty = 2, col = "grey40")
text(bp, people$bmi1 + 1.5, people$bmi1, cex = 0.8)
dev.off()
cat("Saved bmi_plot.png\n")

Expected output: A 22.9 Healthy, B 35.3 Obese, C 16.2 Underweight, D 25.0 Overweight, E 28.4 Overweight, and the child at the 90.3rd percentile. These match the calculator and the Excel steps exactly.

9.2 What each line does

9.3 What the figure shows

One bar per person, coloured by category, with dashed lines at 18.5, 25 and 30. Person D sits right on the 25 line, which is the borderline case worth a second look with a tape measure.

9.4 Problems and fixes

• Every BMI is under 1. Height was already in metres. Remove the / 100.
• Category is NA. A BMI of exactly 18.5 with right = TRUE falls outside the band. Keep right = FALSE.
• Error in png(). The folder is read-only. Run setwd("~") first.

9.5 Handy one-liners

bmi <- function(kg, cm) kg / (cm / 100)^2              # metric
bmi_us <- function(lb, inch) 703.0696 * lb / inch^2    # US units, exact factor
weight_for_bmi <- function(target, cm) target * (cm / 100)^2   # reverse BMI
adj_weight <- function(kg, pct_missing) kg / (1 - pct_missing / 100)  # amputee

Install with pip install numpy matplotlib if you do not already have them.

10.1 The complete script

Python 3, saves bmi_plot.png at 300 dpi

# ============================================================
# BMI calculator in Python: BMI, category, healthy range, child percentile
# StatsUnlock - https://statsunlock.com/bmi-calculator/
# ============================================================
from decimal import Decimal, ROUND_HALF_UP
from statistics import NormalDist
import numpy as np
import matplotlib.pyplot as plt

# ---- 1. Your data (weight in kg, height in cm) ----------------
names  = ["A", "B", "C", "D", "E"]
weight = np.array([70, 102, 48, 76.6, 95], dtype=float)
height = np.array([175, 170, 172, 175, 183], dtype=float)
# Or load a file:
# import pandas as pd; df = pd.read_csv("people.csv").dropna()

def round1(x):
    """Round half away from zero, the same as Excel and this calculator."""
    return float(Decimal(str(x)).quantize(Decimal("0.1"), rounding=ROUND_HALF_UP))

def category(b):
    if b < 18.5: return "Underweight"
    if b < 25:   return "Healthy"
    if b < 30:   return "Overweight"
    return "Obese"

# ---- 2. BMI, category and healthy range -----------------------
h_m  = height / 100
bmi  = weight / h_m**2
bmi1 = [round1(b) for b in bmi]
cats = [category(b) for b in bmi1]
lo   = 18.5 * h_m**2
hi   = 24.9 * h_m**2

for n, b, c, a, z in zip(names, bmi1, cats, lo, hi):
    print(f"{n}: BMI {b:.1f}, {c}. Healthy weight {a:.1f} to {z:.1f} kg.")

# ---- 3. Child BMI-for-age percentile (CDC LMS method) ---------
L, M, S = -2.76565, 16.64614, 0.120112      # boy, 120.5 months
child_bmi = 40 / 1.40**2
z = ((child_bmi / M)**L - 1) / (L * S)
print(f"Child BMI {child_bmi:.2f} is at percentile {NormalDist().cdf(z)*100:.1f}")

# ---- 4. One 300 dpi figure ------------------------------------
colours = {"Underweight": "#93c5fd", "Healthy": "#16a34a",
           "Overweight": "#f59e0b", "Obese": "#ea580c"}
fig, ax = plt.subplots(figsize=(6.7, 4.7))
bars = ax.bar(names, bmi1, color=[colours[c] for c in cats])
for y in (18.5, 25, 30):
    ax.axhline(y, ls="--", color="grey", lw=1)
ax.bar_label(bars, labels=[f"{b:.1f}" for b in bmi1], padding=3)
ax.set_ylim(0, 40)
ax.set_ylabel("BMI (kg/m²)")
ax.set_title("BMI with WHO cut-offs")
fig.tight_layout()
fig.savefig("bmi_plot.png", dpi=300)
print("Saved bmi_plot.png")

Expected output matches R and Excel: A 22.9, B 35.3, C 16.2, D 25.0, E 28.4, child at the 90.3rd percentile.

10.2 What each line does

10.3 What the figure shows

The same five bars as the R version, coloured by category with dashed cut-off lines. The two scripts and Excel agree to one decimal place.

10.4 Problems and fixes

• ModuleNotFoundError: numpy. Run pip install numpy matplotlib.
• round(22.85, 1) gives 22.8. That is banker's rounding plus floating point. Use the round1() helper.
• ZeroDivisionError. A height of 0 slipped in. Filter with height > 0 first.

10.5 Handy one-liners

bmi = lambda kg, cm: kg / (cm / 100) ** 2
bmi_us = lambda lb, inch: 703.0696 * lb / inch ** 2
weight_for_bmi = lambda target, cm: target * (cm / 100) ** 2
adj_weight = lambda kg, pct: kg / (1 - pct / 100)

For adults aged 20 and over, a healthy BMI is 18.5 to 24.9 for both women and men at every age. The cut-offs do not change with sex or age. What does change is how much of that weight is fat. At the same BMI, women usually carry about 10 percentage points more body fat than men, and body fat creeps up with age as muscle is lost.

11.1 Estimated body fat at the same BMI, by age and sex

Values from the Deurenberg et al. (1991) equation used in this BMI calculator, accurate to about ±4 points for one person. What to conclude: a 20-year-old woman with a BMI of 22 (about 26% fat) carries about the same body fat as a 20-year-old man with a BMI of 30 (about 24%), and every extra 10 years of age adds about 2 to 3 points at the same BMI.

11.2 Which BMI rules apply at each age

11.3 Is a slightly higher BMI better after 65?

Often, yes. A meta-analysis of older adults by Winter et al. (2014) found that the risk of death rose below a BMI of about 23 and was lowest around 27 to 28. Extra reserve helps older people survive illness and falls, while losing weight late in life often means losing muscle. If you are over 65 with a BMI between 25 and 30, talk to your doctor before trying to lose weight.

BMI tells you how heavy you are for your height. Your waist tells you where the weight sits. Fat around the middle is linked more closely with type 2 diabetes and heart disease, so doctors combine the two numbers. Measure your waist with a tape measure at the level of your navel, then find your row below.

12.1 Disease risk by BMI category and waist size

Risk of type 2 diabetes, high blood pressure and heart disease relative to a healthy weight and waist. Based on the US National Heart, Lung, and Blood Institute (NHLBI) adult obesity guidelines; see the NHLBI waist and BMI guidance, as of 2026. Run the Adult BMI calculator with your waist entered to highlight your row.

12.2 Waist cut-offs for Asian adults and waist-to-height ratio

What to conclude: if your BMI is healthy but your waist is over half your height, your risk is still raised. A falling waist is a better sign of progress than a falling BMI, especially when you are building muscle.

BMI during pregnancy is not meaningful, because the baby, placenta and extra fluid all add weight. Instead, doctors use your BMI from before pregnancy to set a healthy weight-gain range. Enter your pre-pregnancy weight in the Adult BMI calculator, then read your row below.

Source: Institute of Medicine (2009) recommendations, as published by the CDC weight gain during pregnancy page, as of 2026. The CDC notes its underweight twin range differs from the original IOM guidance. For triplets or more, ask your midwife or doctor. What to conclude: the higher your starting BMI, the less weight you need to gain, but no one should try to lose weight during pregnancy without medical advice.

The typical adult BMI worldwide now sits just under the overweight line. A pooled analysis of 19.2 million adults in 200 countries (NCD Risk Factor Collaboration, 2016) found the global average rose steadily over four decades:

These are age-standardised global averages. Many countries sit well above or below them. What to conclude: a "typical" BMI is not the same as a healthy one. If your BMI matches the average, you may already be near the 25 line.

14.1 How your result compares

The StatsUnlock Team built this BMI calculator from primary sources, not from other calculators, and checked every mode against independent code before publishing.

Your numbers never leave your browser. The calculator runs entirely on your device and stores nothing. Last reviewed: 15 October 2026. Found an error? Tell us through the contact page.

Eight real-world cases run through the BMI calculator, from a textbook adult to an amputee and a reverse BMI goal. Each shows the numbers, what they mean and what to do next.

A BMI calculator is only as accurate as the numbers you give it. A 2 cm height error shifts BMI by about 0.5 points.

1. Weigh in the morning. After using the toilet and before eating or drinking. Your weight can swing by 1 to 2 kg across a day.
2. Use the same scale each time. Two home scales can disagree by a kilogram or more.
3. Put the scale on a hard floor. Carpet makes many scales read low.
4. Wear light clothing, no shoes. Shoes and jeans can add 1.5 kg.
5. Measure height against a flat wall. Heels, bottom, shoulders and head touching the wall, feet together.
6. Look straight ahead. Rest a hardback book flat on your head, square to the wall, and mark underneath it.
7. Measure from floor to mark with a metal tape. Read to the nearest 0.5 cm.
8. Measure your waist with a tape measure at the level of your navel, after breathing out gently, without pulling the tape tight.
9. For a child, use exact age in months. A child who is 9 years 11 months is not 10.
10. For an amputee, weigh without a prosthesis, or subtract its weight. Then use the Amputee tab.

Four examples

• A man checking a new year goal: use the Adult tab, then the calorie plan.
• A parent after a school weigh-in: use the Child & Teen tab for a CDC percentile.
• A veteran with a below-knee amputation: use the Amputee tab so BMI is not falsely low.
• Someone planning a target weight: use the Reverse BMI tab with target BMI 24.9.

Decision guide

Every BMI calculator rests on the same assumptions. Here is what each one means for you, and what to use when it fails.

1. Weight is mostly fat when BMI is high. If you are very muscular, BMI overstates fat. Alternative: waist-to-height ratio or a DEXA scan.
2. Your body shape is average for your height. Very tall people tend to score slightly high and very short people slightly low. Alternative: the Trefethen new BMI (1.3 × W ÷ H^2.5), shown in your results table.
3. Fat distribution does not matter. It does: belly fat carries more risk. BMI can call someone healthy who has a large waist. Alternative: add your waist in the advanced options.
4. Ethnic background does not change risk. For many Asian, Black and Middle Eastern adults, risk starts at a lower BMI, so WHO cut-offs understate it. Alternative: choose the Asian or NICE standard.
5. Limb segments weigh the population average. Real limbs vary, and partial thigh amputations fall between 5.9% and 16%. The adjusted BMI may be off by up to 1 point.
6. The body fat formula fits your group. Deurenberg's equation came from Dutch adults and can be off by about 4 percentage points for one person.
7. Calorie maths is linear. The 7,700 kcal per kg rule overstates long-term weight loss, because the body adapts. Expect slower progress after the first few months.

This BMI calculator turns your height and weight into a body mass index of ___, which falls in the ___ category. Run the calculator above to see your own summary here.

BMI is a fast, free and widely used screen. It works best when you treat it as the first question about weight and health, not the final answer. Check your waist, think about your build, and use the right standard for your background.

Whatever your number, small changes held for months beat large changes held for weeks. Re-measure every four weeks under the same conditions and use this BMI calculator to track the trend.

More free StatsUnlock calculators to use alongside this BMI calculator, from age and goal dates to measurement.

Adjusted BMI

BMI calculated from an estimated full-body weight, used for people with amputations.

Amputation

Surgical or accidental loss of part or all of a limb.

Bariatric surgery

Operations on the stomach or gut that help people with severe obesity lose weight.

BMI (body mass index)

Weight in kilograms divided by height in metres squared.

BMI calculator

A tool that divides weight by height squared and labels the result with a category.

BMI Prime

Your BMI divided by 25. A value above 1.00 means above the overweight line.

BMR (basal metabolic rate)

Calories your body burns at complete rest in a day.

Calorie deficit

Eating fewer calories than you burn, which leads to weight loss over time.

CDC

The US Centers for Disease Control and Prevention, which publishes the child BMI growth charts.

Cut-off

The BMI value where one category ends and the next begins.

DEXA scan

A low-dose X-ray that measures fat, muscle and bone separately.

Healthy weight range

The weights that give a BMI of 18.5 to 24.9 at your height.

LMS method

A way to turn a child's BMI into a percentile using three numbers: L (skew), M (median) and S (spread).

NICE

The UK National Institute for Health and Care Excellence, which writes NHS clinical guidance.

Obesity

An adult BMI of 30 or more (27.5 or more under Asian cut-offs).

Overweight

An adult BMI of 25 to 29.9 (23 to 27.4 under Asian cut-offs).

Percentile

The percent of children of the same age and sex with a lower BMI.

Ponderal index

Weight divided by height cubed. It changes less with height than BMI.

Reverse BMI

Working backwards from a BMI to the weight or height that gives it.

TDEE

Total daily energy expenditure: BMR multiplied by an activity factor.

Underweight

An adult BMI below 18.5.

Waist-to-height ratio

Waist divided by height. Under 0.5 is the usual healthy target.

Z-score

How many standard deviations a value sits above or below the average.

1. Ashwell, M., Gunn, P., & Gibson, S. (2012). Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obesity Reviews, 13(3), 275–286. https://doi.org/10.1111/j.1467-789X.2011.00952.x
2. Caleyachetty, R., Barber, T. M., Mohammed, N. I., Cappuccio, F. P., Hardy, R., Mathur, R., Banerjee, A., & Gill, P. (2021). Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: A population-based cohort study. The Lancet Diabetes & Endocrinology, 9(7), 419–426. https://doi.org/10.1016/S2213-8587(21)00088-7
3. Cole, T. J., Bellizzi, M. C., Flegal, K. M., & Dietz, W. H. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ, 320(7244), 1240–1243. https://doi.org/10.1136/bmj.320.7244.1240
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5. Deurenberg, P., Weststrate, J. A., & Seidell, J. C. (1991). Body mass index as a measure of body fatness: Age- and sex-specific prediction formulas. British Journal of Nutrition, 65(2), 105–114. https://doi.org/10.1079/BJN19910073
6. Eisenberg, D., Shikora, S. A., Aarts, E., Aminian, A., Angrisani, L., Cohen, R. V., et al. (2022). 2022 American Society for Metabolic and Bariatric Surgery (ASMBS) and International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO): Indications for metabolic and bariatric surgery. Surgery for Obesity and Related Diseases, 18(12), 1345–1356. https://doi.org/10.1016/j.soard.2022.08.013
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