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	10,666.8	6,419.6	2,953.3	1,168.7	85.8	39.4	
    Working	4,315.2	2,424.6	1,250.1	599.3	22.5	18.6	
    Unemployed	1,738.6	980.6	632.3	108.7	10.2	6.7	
    Retired person or early retired person	2,240.0	1,581.5	422.6	198.0	30.7	7.1	
    Studying	1,062.2	600.0	294.8	160.7	3.0	3.8	
    Unable to work	341.7	257.9	68.5	11.9	3.4	0.0	
    Housework	939.9	556.7	278.7	90.0	11.3	3.2	
    Other	29.3	.	.	.	.	.	
Men	
    TOTAL	4,803.3	2,979.0	1,236.3	543.0	31.0	14.0	
    Working	2,283.0	1,339.4	618.4	310.7	4.5	10.0	
    Unemployed	769.7	436.1	273.2	50.2	10.2	0.0	
    Retired person or early retired person	1,060.7	756.4	198.1	96.2	6.0	4.0	
    Studying	466.6	283.5	104.2	75.9	3.0	0.0	
    Unable to work	195.5	147.2	35.9	9.8	2.7	0.0	
    Housework	7.8	.	.	.	.	.	
    Other	20.0	.	.	.	.	.	
Women	
    TOTAL	5,863.5	3,440.6	1,717.0	625.7	54.8	25.4	
    Working	2,032.2	1,085.3	631.8	288.6	18.0	8.6	
    Unemployed	968.9	544.4	359.1	58.6	0.0	6.7	
    Retired person or early retired person	1,179.3	825.1	224.5	101.9	24.7	3.1	
    Studying	595.6	316.5	190.6	84.7	0.0	3.8	
    Unable to work	146.1	110.7	32.6	2.0	0.8	0.0	
    Housework	932.1	550.7	277.0	90.0	11.3	3.2	
    Other	9.3	.	.	.	.	.	
Notes:

.Data protected by statistical secrecy

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