Health care. Absolute figures
Waiting list for a hospital admission in the last 12 months by sex and social class based on the occupation of the reference person. 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	
    I	250.6	54.4	195.2	1.0	
    II	219.0	43.6	175.3	0.0	
    III	544.1	108.6	435.5	0.0	
    IV	542.7	122.8	418.9	0.9	
    V	1,086.6	258.4	821.7	6.5	
    VI	469.9	138.4	329.2	2.3	
    No data recorded	79.5	9.6	68.4	1.5	
MALES	
    Total	1,620.6	355.8	1,255.0	9.9	
    I	138.6	33.0	104.5	1.0	
    II	104.5	19.5	85.0	0.0	
    III	263.3	40.3	223.0	0.0	
    IV	304.2	72.0	231.4	0.8	
    V	577.7	134.0	437.9	5.8	
    VI	213.5	55.9	155.2	2.3	
    No data recorded	19.0	.	.	.	
FEMALES	
    Total	1,571.8	380.1	1,189.3	2.4	
    I	112.1	21.4	90.7	0.0	
    II	114.5	24.2	90.3	0.0	
    III	280.8	68.3	212.5	0.0	
    IV	238.5	50.8	187.6	0.2	
    V	508.9	124.4	383.8	0.7	
    VI	256.5	82.5	174.0	0.0	
    No data recorded	60.5	8.6	50.4	1.5	
Notes:

.Data protected by statistical secrecy

1) Socio-economic levels classification of the Spanish Society of Epidemiology:
 I. Directors and managers of establishments with 10 or more wage earners and professionals traditionally associated with university degrees
 II. Directors and managers of establishments with 10 or more wage earners, professionals traditionally associated with university degrees and other technical support professionals
 III. Intermediate occupations and self-employed workers
 IV. Supervisors and workers in skilled technical occupations 
 IV. Skilled primary sector workers and other semi-skilled workers
 VI. Non-skilled workers
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