European Health Survey  
HOSPITALISATIONS
Waiting list for hospital admission in the last 12 months by sex and age group. Population aged 15 years old and over that had been hospitalised, except for childbirth, in the last 12 months.
Units: thousands of persons

	TOTAL	Yes	No	No data recorded	
Both sexes	
    TOTAL	2,946.2	697.6	2,240.0	8.6	
    From 15 to 24 years old	179.2	34.3	144.9	0.0	
    From 25 to 34 years old	298.9	78.7	220.2	0.0	
    From 35 to 44 years old	372.9	92.3	279.2	1.3	
    From 45 to 54 years old	436.3	117.4	318.9	0.0	
    From 55 to 64 years old	490.0	136.9	351.6	1.6	
    From 65 to 74 years old	502.4	139.5	358.3	4.7	
    From 75 to 84 years old	458.2	80.9	376.6	0.6	
    Aged 85 years old and over	208.2	17.5	190.3	0.4	
Men	
    TOTAL	1,519.2	366.3	1,149.0	3.8	
    From 15 to 24 years old	92.8	.	.	.	
    From 25 to 34 years old	153.8	45.1	108.7	0.0	
    From 35 to 44 years old	201.0	48.0	151.7	1.3	
    From 45 to 54 years old	240.1	56.8	183.3	0.0	
    From 55 to 64 years old	273.8	78.8	195.0	0.0	
    From 65 to 74 years old	260.0	72.6	184.8	2.6	
    From 75 to 84 years old	217.2	42.4	174.8	0.0	
    Aged 85 years old and over	80.5	7.4	73.1	0.0	
Women	
    TOTAL	1,427.1	331.3	1,090.9	4.8	
    From 15 to 24 years old	86.4	19.2	67.2	0.0	
    From 25 to 34 years old	145.1	33.6	111.4	0.0	
    From 35 to 44 years old	171.9	44.3	127.6	0.0	
    From 45 to 54 years old	196.3	60.6	135.7	0.0	
    From 55 to 64 years old	216.3	58.1	156.6	1.6	
    From 65 to 74 years old	242.5	66.8	173.5	2.2	
    From 75 to 84 years old	241.0	38.5	201.8	0.6	
    Aged 85 years old and over	127.7	10.1	117.2	0.4	
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