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