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Question: Who have BMI of 33?
Answer: Every person with similar height and weight combination from this table:
Metric units | Imperial units | ||
---|---|---|---|
cm | kg | ft, in | lbs |
120 cm | 47.5 kg | 3´11" | 105 lbs |
125 cm | 51.6 kg | 4´1" | 114 lbs |
130 cm | 55.8 kg | 4´3" | 123 lbs |
135 cm | 60.1 kg | 4´5" | 133 lbs |
140 cm | 64.7 kg | 4´7" | 143 lbs |
145 cm | 69.4 kg | 4´9" | 153 lbs |
150 cm | 74.3 kg | 4´11" | 164 lbs |
155 cm | 79.3 kg | 5´1" | 175 lbs |
160 cm | 84.5 kg | 5´3" | 186 lbs |
165 cm | 89.8 kg | 5´5" | 198 lbs |
170 cm | 95.4 kg | 5´7" | 210 lbs |
175 cm | 101.1 kg | 5´9" | 223 lbs |
180 cm | 106.9 kg | 5´11" | 236 lbs |
185 cm | 112.9 kg | 6´1" | 249 lbs |
190 cm | 119.1 kg | 6´3" | 263 lbs |
195 cm | 125.5 kg | 6´5" | 277 lbs |
200 cm | 132 kg | 6´7" | 291 lbs |
205 cm | 138.7 kg | 6´9" | 306 lbs |
210 cm | 145.5 kg | 6´11" | 321 lbs |
215 cm | 152.5 kg | 7´1" | 336 lbs |
Calculated with equation: Weight [kg] = 33 × (Height [m])²
BMI 33 [kg/m²] => Obese Class I (Moderately obese) (from 30 to 34.99)
33 BMI compared to normal minimum: +14.5 kg/m² over
This BMI compared to normal maximum: +8 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: **
• Andras Haklits (Croatia) Height: 1.91 m (6´3.2"), Weight: 120 kg, (265 lbs) BMI: 32.89 (Athletics) infoFemale athletes from Olympic Games in London 2012: **
• Vera Karmishina-Ganeeva (Russia) Height: 1.78 m (5´10.1"), Weight: 105 kg, (231 lbs) BMI: 33.14 (Athletics) info**Random list, max 12 athletes listed. Source: The Guardian, datablog
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