European Health Survey  
SERVICIOS DE URGENCIAS
Tipo de servicio de urgencias utilizado la última vez en los últimos 12 meses según sexo y relación con la actividad económica actual. Población de 15 y más años que ha utilizado algún servicio de urgencias en los últimos 12 meses.
Units: thousands of persons

,TOTAL,Public Health System Hospital (Social Security),Public health accident and emergency service or non-hospital centre,Private services and centres,Other type of service,No data recorded,
Both sexes,
    TOTAL,9,622.4,5,649.3,2,867.7,1,002.3,89.1,14.0,
    Working,4,366.7,2,414.5,1,365.5,530.2,44.5,12.1,
    Unemployed,1,047.0,597.7,374.0,72.4,3.0,0.0,
    Retired person or early retired person,1,859.5,1,279.1,419.8,134.5,25.8,0.4,
    Studying,1,105.8,599.3,328.9,174.3,3.4,0.0,
    Unable to work,304.0,187.8,93.1,18.0,5.1,0.0,
    Housework,897.4,553.0,274.2,61.2,7.4,1.6,
    Other,42.0,17.9,12.2,11.9,0.0,0.0,
Men,
    TOTAL,4,219.4,2,522.5,1,196.9,450.2,43.7,6.0,
    Working,2,224.6,1,275.5,683.8,234.8,24.5,6.0,
    Unemployed,486.9,297.3,158.1,30.3,1.1,0.0,
    Retired person or early retired person,877.2,618.3,183.3,63.9,11.6,0.0,
    Studying,443.7,220.9,115.3,104.1,3.4,0.0,
    Unable to work,165.4,99.1,52.3,10.9,3.1,0.0,
    Housework,6.7,6.7,0.0,0.0,0.0,0.0,
    Other,14.9,4.6,4.1,6.2,0.0,0.0,
Women,
    TOTAL,5,403.1,3,126.8,1,670.8,552.1,45.4,8.0,
    Working,2,142.2,1,139.0,681.7,295.4,20.0,6.1,
    Unemployed,560.1,300.3,215.9,42.0,1.8,0.0,
    Retired person or early retired person,982.3,660.7,236.5,70.5,14.1,0.4,
    Studying,662.1,378.4,213.6,70.1,0.0,0.0,
    Unable to work,138.6,88.7,40.8,7.1,2.0,0.0,
    Housework,890.7,546.4,274.2,61.2,7.4,1.6,
    Other,27.1,13.3,8.1,5.7,0.0,0.0,
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