European Health Survey  
ACCIDENT AND EMERGENCY SERVICES
Type of accident and emergency service used in the last 12 months by sex and relation with the current economic activity. Population aged 15 years old and over that had used any accident and emergency service  in the last 12 months.
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