Health care. Absolute figures
Reason for the last day hospital admission in the last 12 months by sex and level of studies. Population aged 15 years old and over that has used any day hospital in the last 12 months.
Units: thousands of persons

	Total	A treatment	Surgical intervention	Other reasons	No data recorded	
BOTH SEXES	
    Total	2,943.2	968.6	870.4	1,101.8	2.4	
    Cannot read or write, or incomplete primary education	405.1	158.2	119.9	126.9	0.0	
    Complete primary education	367.1	126.8	104.4	135.9	0.0	
    Secondary education, 1st  stage	1,032.2	357.7	297.9	376.7	0.0	
    Secondary education, 2nd  stage	609.8	174.6	180.6	254.6	0.0	
    Advanced professional training or the equivalent	157.1	50.0	56.8	50.2	0.0	
    University education	372.0	101.3	110.8	157.4	2.4	
MALES	
    Total	1,353.9	431.4	397.0	523.1	2.4	
    Cannot read or write, or incomplete primary education	156.2	65.2	44.4	46.5	0.0	
    Complete primary education	183.6	62.6	49.4	71.6	0.0	
    Secondary education, 1st  stage	458.6	165.8	117.2	175.6	0.0	
    Secondary education, 2nd  stage	300.0	70.1	97.6	132.3	0.0	
    Advanced professional training or the equivalent	82.1	24.6	24.4	33.2	0.0	
    University education	173.4	43.0	64.1	63.9	2.4	
FEMALES	
    Total	1,589.4	537.3	473.4	578.7	0.0	
    Cannot read or write, or incomplete primary education	248.9	93.0	75.5	80.3	0.0	
    Complete primary education	183.5	64.2	55.0	64.4	0.0	
    Secondary education, 1st  stage	573.6	191.8	180.7	201.1	0.0	
    Secondary education, 2nd  stage	309.8	104.5	83.0	122.3	0.0	
    Advanced professional training or the equivalent	74.9	25.5	32.5	17.0	0.0	
    University education	198.6	58.3	46.7	93.5	0.0	
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