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	6.50	1.31	1.42	2.20	
    From 18 to 24 years old	12.48	3.71	6.51	12.70	
    From 25 to 34 years old	19.77	4.26	6.02	10.34	
    From 35 to 44 years old	13.28	2.80	3.55	5.39	
    From 45 to 54 years old	19.81	3.09	3.11	4.81	
    From 55 to 64 years old	16.69	3.52	3.12	4.58	
    From 65 to 74 years old	25.92	3.91	3.30	4.77	
    From 75 to 84 years old	30.12	5.03	4.00	6.03	
    Aged 85 years old and over	21.84	6.46	6.70	10.00	
Men	
    TOTAL	15.18	2.14	1.85	2.98	
    From 18 to 24 years old	25.79	5.31	8.04	19.71	
    From 25 to 34 years old	52.57	6.42	7.74	14.10	
    From 35 to 44 years old	42.43	4.43	4.42	6.85	
    From 45 to 54 years old	52.46	5.00	3.89	6.28	
    From 55 to 64 years old	40.37	5.72	4.13	6.11	
    From 65 to 74 years old	43.54	6.17	4.52	6.78	
    From 75 to 84 years old	64.66	7.61	5.47	9.21	
    Aged 85 years old and over	40.15	11.58	9.65	18.60	
Women	
    TOTAL	7.22	1.68	2.17	3.16	
    From 18 to 24 years old	14.14	5.14	10.93	16.83	
    From 25 to 34 years old	21.30	5.65	9.43	14.28	
    From 35 to 44 years old	14.00	3.64	5.71	8.28	
    From 45 to 54 years old	21.25	3.84	5.14	7.68	
    From 55 to 64 years old	18.28	4.42	4.91	6.91	
    From 65 to 74 years old	30.49	5.01	4.73	6.54	
    From 75 to 84 years old	33.42	6.53	5.53	7.90	
    Aged 85 years old and over	26.06	7.91	9.37	11.95	
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