European Health Survey  
COBERTURA SANITARIA
Modalidad de la cobertura sanitaria (Exclusiva) según sexo y relación con la actividad económica actual. Población de 15 y más años.
Units: thousands of persons

	TOTAL	Exclusively public	Only private	Mixed	Other situations	No data recorded	
Both sexes	
    TOTAL	39,974.1	33,701.7	260.0	5,845.2	149.5	17.6	
    Working	19,678.3	15,604.4	139.8	3,866.0	66.0	2.2	
    Unemployed	3,953.4	3,556.0	20.9	348.8	27.8	0.0	
    Retired person or early retired person	8,080.7	7,219.0	42.7	802.9	15.0	1.2	
    Studying	3,729.9	3,153.4	31.1	501.2	30.9	13.2	
    Unable to work	803.7	754.0	0.0	45.7	4.0	0.0	
    Housework	3,647.1	3,349.2	22.9	268.2	5.8	1.0	
    Other	80.9	65.7	2.7	12.4	0.0	0.0	
Men	
    TOTAL	19,449.1	16,495.9	143.1	2,710.2	85.0	14.9	
    Working	10,778.0	8,705.5	92.4	1,940.8	37.6	1.7	
    Unemployed	1,954.5	1,805.4	7.0	129.0	13.1	0.0	
    Retired person or early retired person	4,372.7	3,952.2	27.6	382.1	10.8	0.0	
    Studying	1,784.9	1,504.8	13.4	233.5	20.0	13.2	
    Unable to work	477.6	458.8	0.0	17.6	1.3	0.0	
    Housework	46.2	43.3	0.0	0.8	2.2	0.0	
    Other	35.1	25.9	2.7	6.5	0.0	0.0	
Women	
    TOTAL	20,525.0	17,205.8	116.9	3,135.0	64.5	2.7	
    Working	8,900.3	6,898.9	47.4	1,925.2	28.3	0.5	
    Unemployed	1,999.0	1,750.6	13.9	219.9	14.7	0.0	
    Retired person or early retired person	3,708.0	3,266.7	15.0	420.8	4.2	1.2	
    Studying	1,944.9	1,648.6	17.7	267.7	10.9	0.0	
    Unable to work	326.1	295.3	0.0	28.1	2.7	0.0	
    Housework	3,600.9	3,305.9	22.9	267.5	3.6	1.0	
    Other	45.7	39.9	0.0	5.9	0.0	0.0	
Notes:
1) One person can only have health coverage exclusively public, exclusively private or mixed. It is understood  by mixed health coverage that of those persons that have public and private health coverage simultaneously.

 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