Calculate BMI from weight and height. Free health calculator with batch analysis, sensitivity, and step-by-step breakdown.
Page review note
Calculations follow established definitions and are tested against reference datasets. We document how each tool works and when to use it.
Unit conversions follow SI and common measurement standards. We use careful numeric handling to reduce rounding surprises.
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BMI
24.2215
Computed from default inputs using graph `synth-bmi`.
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This area chart provides a high-density visual breakdown for BMI Calculator computations.
Elite visualization for BMI Calculator.
Solve for Weight (kg)
Weight (kg): 76.9958 for BMI 26.642
Standard BMI using metric units.
BMI = weight / (height/100)²
weight / pow(height / 100, 2)Sensitivity matrix showing how the result changes as the sampled input moves through a broader range.
Sensitivity matrix showing how BMI reacts as Weight (kg) moves through a broader sampled range.
BMI classification bands for adult screening context.
Reference bands explain how the BMI result is interpreted; they are intentionally different from the sensitivity sweep and should not be treated as a diagnosis.
Secondary driver table generated from ranked calculator inputs.
The driver ranking engine keeps the main axis focused on Weight (kg) while still exposing the next strongest variables for multi-input calculators.
Adaptive checkpoint table with 14 rows selected from the current input magnitude.
This table changes row count and checkpoints by calculator family and input value, so long-tail calculator pages expose different useful datasets instead of repeating one fixed table.
The x-axis and point count change with the current calculator input, improving uniqueness for long-tail pages.
BMI decision comparison
Expanded chart built from the same sensitivity run as the table, so users can read the trend and verify the numbers in one place.
This comparison view adds executive-style decision support instead of forcing users to read scenarios only as raw rows.
Scenario comparison block for checking how different input profiles change the outcome.
Multi-scenario comparison: BMI
Conservative, base, and optimistic outcomes for BMI evaluated by live SimulationEngine.
bmi= 24.22Using the Chunks/Bmi Calculator Calculator
This example uses regional data for your area. Median income: $63,795, typical home price: $412,000.
Expected takeaway: Enter your specific values above for a personalized calculation.
National statistical agency data (2025)
All mathematical conversions are rigorously tested against international BIPM and NIST standards.
| 63.076923 | 21.825925 |
| 84.615385 | 29.27868 |
| 106.153846 | 36.731435 |
| 127.692308 | 44.18419 |
| 149.230769 | 51.636944 |
| 170.769231 | 59.089699 |
| 192.307692 | 66.542454 |
| 213.846154 | 73.995209 |
| 235.384615 | 81.447964 |
| 256.923077 | 88.900719 |
| 278.461538 | 96.353474 |
| 300 | 103.806228 |
| clinical context, nutrition history, and individual assessment |
| 18.5-24.9 | Normal weight | waist circumference, trend, and body composition context |
| 25.0-29.9 | Overweight | metabolic risk factors and body composition limitations |
| 30.0-34.9 | Obesity class I | professional screening and follow-up context |
| 35.0-39.9 | Obesity class II | medical review when combined with health conditions |
| 40.0 and above | Obesity class III | clinical eligibility and risk review context |
| Height (cm) | secondary-driver | 29.9 | 20.02 |
| Age (optional) | secondary-driver | 24.22 | 24.22 |
| 12.11 |
| 38.666667 | 13.38 |
| 52.5 | 18.17 |
| 57.333333 | 19.84 |
| 63 | 21.8 |
| 70 | 24.22 |
| 77 | 26.64 |
| 87.5 | 30.28 |
| 105 | 36.33 |
| 140 | 48.44 |
| 210 | 72.66 |
| 280 | 96.89 |
| 300 | 103.81 |
Graph built from the adaptive checkpoint table, not from a fixed global template.
| 21.8 |
| Weight (kg): 63 |
| Base case | 24.22 | Weight (kg): 70 |
| Upside | 26.64 | Weight (kg): 77 |
| Stress high | 103.81 | Weight (kg): 300 |
Visual response curve for BMI.
Scenario bars make it easier to compare upside, base case, and downside outcomes at a glance.
| 63 |
| 21.8 |
| Base case | 70 | 24.22 |
| Upside | 77 | 26.64 |
| Stress high | 300 | 103.81 |
| Mid-range check | 160 | 55.36 |
| Base case | - | 2 |
| Conservative | - | 3 |
| BMI 25–29.9 is classified as overweight by WHO. However, a muscular male athlete at this weight-height may have 12% body fat (lean), illustrating BMI's limitation for athletic body types. |
| Healthy weight woman, metric | Weight: 62 kg; Height: 165 cm | BMI = 22.8 — Normal weight | BMI 18.5–24.9 is the WHO 'normal' range. This is consistent with reduced risk for metabolic diseases, cardiovascular disease, and type 2 diabetes. |
| Athlete with high muscle mass | Weight: 220 lbs (99.8 kg); Height: 6'1" (185.4 cm) | BMI = 29.0 — Overweight (misleading) | NFL linebacker at 8% body fat — classified 'overweight' by BMI. In such cases, use body fat % (DEXA, skinfold calipers) instead of BMI for accurate health assessment. |
| Adult body metric | Use case: Place a height/weight result into a reference band; Inputs to inspect: height, weight, unit system | Decision context: Adult body metric | Useful for quick screening, not clinical diagnosis. |
| Calorie target | Use case: Estimate maintenance, deficit, or surplus target; Inputs to inspect: age, sex, weight, height, activity | Decision context: Calorie target | Useful when the result is treated as a starting estimate and adjusted with real tracking. |
| Fitness zone | Use case: Compare target zones or training ranges; Inputs to inspect: age, resting value, intensity | Decision context: Fitness zone | Useful when ranges matter more than one exact number. |