European Health Survey  
MODULE III. HEALTH DETERMINANTS
Body Mass Index of the adult population, according to sex and age group. Population aged 18 years old and over. Variation coefficient
Units: percentage

	Underweight (BMI < 18.5 kg/m2)	Normal weight (18.5 kg/m2 <= BMI < 25 kg/m2)	Overweight (25 kg/m2 <= BMI < 30 kg/m2)	Obesity (BMI >= 30 kg/m2)	
Both sexes	
    TOTAL	6.05	1.20	1.30	2.06	
    From 18 to 24 years old	12.50	4.60	8.80	16.90	
    From 25 to 34 years old	15.40	3.10	4.50	7.60	
    From 35 to 44 years old	11.60	2.50	3.30	5.00	
    From 45 to 54 years old	15.10	2.90	3.20	5.20	
    From 55 to 64 years old	26.80	3.50	3.10	4.40	
    From 65 to 74 years old	21.20	4.20	3.30	4.40	
    From 75 to 84 years old	27.70	4.80	3.90	5.30	
    Aged 85 years old and over	31.70	6.90	6.90	10.00	
Men	
    TOTAL	13.73	2.00	1.76	2.83	
    From 18 to 24 years old	23.70	6.50	11.40	24.00	
    From 25 to 34 years old	38.60	4.80	5.60	10.80	
    From 35 to 44 years old	39.80	4.00	3.90	6.60	
    From 45 to 54 years old	34.60	4.70	4.00	6.10	
    From 55 to 64 years old	44.30	5.80	4.10	6.10	
    From 65 to 74 years old	37.40	6.40	4.50	6.80	
    From 75 to 84 years old	63.00	7.40	5.60	8.70	
    Aged 85 years old and over	57.10	11.80	11.20	18.20	
Women	
    TOTAL	6.80	1.60	2.10	2.90	
    From 18 to 24 years old	14.73	6.05	13.95	23.17	
    From 25 to 34 years old	16.60	4.10	7.50	10.90	
    From 35 to 44 years old	12.20	3.10	5.50	7.80	
    From 45 to 54 years old	16.70	3.70	5.00	7.90	
    From 55 to 64 years old	33.10	4.40	4.80	6.50	
    From 65 to 74 years old	25.00	5.40	4.80	5.70	
    From 75 to 84 years old	30.80	6.30	5.20	6.80	
    Aged 85 years old and over	38.10	8.70	8.60	11.70	
Notes:
1) Body Mass Index = [weight(kg) / height(m) squared]

 The symbol '.'  shall be deemed as datum which cannot be given due to an insufficient sample
 The symbol '..' shall be deemed as datum which is not collected for this classification in the table
 The symbol '..' shall be deemed as an error of division by zero
 The data corresponding to cells with less than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error
Source: National Statistics Institute