European Health Survey  
MEDICINE CONSUMPTION
Taking of medicines in the last 2 weeks depending on if they have been prescribed or not by sex and relation with the current economic activity. Population aged 15 years old and over.
Units: thousands of persons

	TOTAL	Only prescribed	Only not prescribed	Prescribed and not prescribed	She/He has not taken medicines	No data recorded	
Both sexes	
    TOTAL	39,974.1	17,643.0	2,727.5	3,135.4	16,451.6	16.6	
    Working	19,678.3	6,394.0	1,826.4	1,427.6	10,024.0	6.4	
    Unemployed	3,953.4	1,531.6	266.9	297.9	1,853.8	3.3	
    Retired person or early retired person	8,080.7	5,986.6	113.2	796.7	1,179.7	4.5	
    Studying	3,729.9	790.6	389.2	156.1	2,394.0	0.0	
    Unable to work	803.7	635.9	4.4	83.5	78.6	1.4	
    Housework	3,647.1	2,270.2	112.9	365.7	897.4	1.0	
    Other	80.9	34.2	14.6	7.9	24.2	0.0	
Men	
    TOTAL	19,449.1	7,790.6	1,288.5	1,179.3	9,178.6	12.0	
    Working	10,778.0	3,243.4	951.3	547.4	6,030.0	5.9	
    Unemployed	1,954.5	639.0	103.5	138.5	1,070.2	3.3	
    Retired person or early retired person	4,372.7	3,219.1	53.6	400.2	698.3	1.4	
    Studying	1,784.9	266.0	167.0	52.6	1,299.3	0.0	
    Unable to work	477.6	384.1	4.4	34.2	53.6	1.4	
    Housework	46.2	25.4	0.0	4.5	16.3	0.0	
    Other	35.1	13.6	8.8	1.9	10.9	0.0	
Women	
    TOTAL	20,525.0	9,852.4	1,439.0	1,956.1	7,272.9	4.6	
    Working	8,900.3	3,150.6	875.0	880.2	3,994.0	0.5	
    Unemployed	1,999.0	892.6	163.5	159.4	783.5	0.0	
    Retired person or early retired person	3,708.0	2,767.4	59.6	396.5	481.4	3.1	
    Studying	1,944.9	524.6	222.2	103.5	1,094.6	0.0	
    Unable to work	326.1	251.7	0.0	49.4	25.0	0.0	
    Housework	3,600.9	2,244.8	112.9	361.1	881.1	1.0	
    Other	45.7	20.6	5.8	6.0	13.3	0.0	
Notes:
1) 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 that classification of the table
 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