Health care. Absolute figures
Waiting list for a hospital admission in the last 12 months by sex and age group. Population that has been hospitalised, except for delivery, in the last 12 months.
Units: thousands of persons

	Total	Yes	No	No data recorded	
BOTH SEXES	
    Total	3,192.4	735.8	2,444.3	12.2	
    0 to 4 years old	163.5	17.7	145.7	0.0	
    5 to 14 years old	160.6	21.6	139.0	0.0	
    15 to 24 years old	162.4	15.1	143.1	4.3	
    25 to 34 years old	338.1	64.1	272.4	1.5	
    35 to 44 years old	440.6	128.4	311.5	0.8	
    45 to 54 years old	425.7	136.9	288.7	0.0	
    55 to 64 years old	413.4	117.9	295.5	0.0	
    65 to 74 years old	412.4	124.3	288.1	0.0	
    75 to 84 years old	496.7	94.4	397.5	4.8	
    85 years old and over	179.0	15.4	162.8	0.9	
MALES	
    Total	1,620.6	355.8	1,255.0	9.9	
    0 to 4 years old	87.7	12.4	75.3	0.0	
    5 to 14 years old	84.1	8.6	75.5	0.0	
    15 to 24 years old	84.9	6.7	73.9	4.3	
    25 to 34 years old	202.6	45.1	155.9	1.5	
    35 to 44 years old	221.7	76.9	144.0	0.8	
    45 to 54 years old	204.0	52.6	151.4	0.0	
    55 to 64 years old	204.6	57.7	146.9	0.0	
    65 to 74 years old	214.4	52.5	161.8	0.0	
    75 to 84 years old	239.8	39.7	196.8	3.3	
    85 years old and over	76.8	3.4	73.4	0.0	
FEMALES	
    Total	1,571.8	380.1	1,189.3	2.4	
    0 to 4 years old	75.8	5.4	70.4	0.0	
    5 to 14 years old	76.5	13.0	63.5	0.0	
    15 to 24 years old	77.5	8.3	69.2	0.0	
    25 to 34 years old	135.5	19.0	116.5	0.0	
    35 to 44 years old	218.9	51.4	167.5	0.0	
    45 to 54 years old	221.6	84.3	137.4	0.0	
    55 to 64 years old	208.7	60.2	148.5	0.0	
    65 to 74 years old	198.0	71.7	126.3	0.0	
    75 to 84 years old	256.9	54.7	200.7	1.5	
    85 years old and over	102.2	12.0	89.4	0.9	
Notes:
The symbol '.' shall be deemed as data which cannot be given due to an insufficient sample.
 The symbol '..' shall be deemed as data which are not collected for this classification in the table.
 The symbol '...' shall be deemed as an 'error of division by zero.
 The data corresponding to cells with fewer than 35 thousand persons must be considered with caution,  as they may be affected by a high degree of sampling error.
Source: Ministry of Public Health, Social Services and Equality and INE