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Question: Who have BMI of 32?
Answer: Every person with similar height and weight combination from this table:
Metric units | Imperial units | ||
---|---|---|---|
cm | kg | ft, in | lbs |
120 cm | 46.1 kg | 3´11" | 102 lbs |
125 cm | 50 kg | 4´1" | 110 lbs |
130 cm | 54.1 kg | 4´3" | 119 lbs |
135 cm | 58.3 kg | 4´5" | 129 lbs |
140 cm | 62.7 kg | 4´7" | 138 lbs |
145 cm | 67.3 kg | 4´9" | 148 lbs |
150 cm | 72 kg | 4´11" | 159 lbs |
155 cm | 76.9 kg | 5´1" | 169 lbs |
160 cm | 81.9 kg | 5´3" | 181 lbs |
165 cm | 87.1 kg | 5´5" | 192 lbs |
170 cm | 92.5 kg | 5´7" | 204 lbs |
175 cm | 98 kg | 5´9" | 216 lbs |
180 cm | 103.7 kg | 5´11" | 229 lbs |
185 cm | 109.5 kg | 6´1" | 241 lbs |
190 cm | 115.5 kg | 6´3" | 255 lbs |
195 cm | 121.7 kg | 6´5" | 268 lbs |
200 cm | 128 kg | 6´7" | 282 lbs |
205 cm | 134.5 kg | 6´9" | 296 lbs |
210 cm | 141.1 kg | 6´11" | 311 lbs |
215 cm | 147.9 kg | 7´1" | 326 lbs |
Calculated with equation: Weight [kg] = 32 × (Height [m])²
BMI 32 [kg/m²] => Obese Class I (Moderately obese) (from 30 to 34.99)
32 BMI compared to normal minimum: +13.5 kg/m² over
This BMI compared to normal maximum: +7 kg/m² over
BMI values for adults with average muscle mass:
Category | from | to |
---|---|---|
Very Severely Underweight | 0 | 15 |
Severely Underweight | 15 | 16 |
Underweight | 16 | 18.5 |
Normal (healthy weight) | 18.5 | 25 |
Overweight | 25 | 30 |
Obese Class I (Moderately obese) | 30 | 35 |
Obese Class II (Severely obese) | 35 | 40 |
Obese Class III (Very severely obese) | 40 | 1000 |
Age |
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2 years ⇓ |
20 years |
Age |
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2 years ⇓ |
20 years |
Underweight | Normal | Overweight | ||||||
For babies (0-2 years) use this: Calculator (or Graph)
Male athletes from Olympic Games in London 2012: **
• Richard Bognar (Hungary) Height: 1.81 m (5´11.3"), Weight: 105 kg, (231 lbs) BMI: 32.05 (Shooting) infoFemale athletes from Olympic Games in London 2012: **
• Oliba Seledina Nieve Arroyo (Ecuador) Height: 1.68 m (5´6.1"), Weight: 90 kg, (198 lbs) BMI: 31.89 (Weightlifting) info**Random list, max 12 athletes listed. Source: The Guardian, datablog
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