European Health Survey  
ABSENCE FROM WORK FOR HEALTH REASONS
Absence from work in the last 12 months due to health problems, according to sex and educational level. Population aged 16 years old and over and currently working
Units: thousands of persons

	Total	Yes	No	No data recorded	
Both sexes	
    Total	18,231.3	5,028.5	13,172.3	30.4	
    Cannot read or write, or incomplete primary education	636.4	116.5	516.6	3.3	
    Complete primary education	3,063.3	723.7	2,337.3	2.4	
    Secondary education, 1st stage	3,277.4	955.1	2,319.3	3.0	
    Secondary education, 2nd stage	4,861.4	1,425.7	3,425.6	10.2	
    Advanced professional training or the equivalent	1,565.1	434.5	1,128.2	2.4	
    University education	4,812.5	1,369.9	3,433.3	9.2	
    No data recorded	15.2	..	..	..	
Males	
    Total	10,309.0	2,685.4	7,608.3	15.3	
    Cannot read or write, or incomplete primary education	415.2	72.3	339.6	3.3	
    Complete primary education	1,997.1	446.7	1,550.0	0.3	
    Secondary education, 1st stage	2,000.1	575.8	1,422.2	2.1	
    Secondary education, 2nd stage	2,656.3	747.8	1,902.1	6.4	
    Advanced professional training or the equivalent	913.7	254.1	659.7	0.0	
    University education	2,312.1	585.5	1,723.4	3.2	
    No data recorded	14.4	..	..	..	
Females	
    Total	7,922.3	2,343.1	5,564.0	15.2	
    Cannot read or write, or incomplete primary education	221.2	44.2	177.0	0.0	
    Complete primary education	1,066.2	276.9	787.3	2.0	
    Secondary education, 1st stage	1,277.2	379.2	897.1	0.9	
    Secondary education, 2nd stage	2,205.1	677.9	1,523.5	3.8	
    Advanced professional training or the equivalent	651.4	180.4	468.6	2.4	
    University education	2,500.4	784.5	1,709.9	6.0	
    No data recorded	0.7	..	..	..	
Notes:
The symbol '.' shall be deemed as data which is not collected
 The symbol '..' shall be deemed as data which cannot be given due to an insufficient sample
 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: National Statistics Institute