European Health Survey  
VISITS TO THE SPECIALIST
Time elapsed since the last visit to the specialist, according to sex and current relationship with economic activity. Population aged 16 years old and over.
Units: percentage

;Total;4 weeks or less;Between 4 weeks and 12 months;12 months or more;S/he has never visited the doctor;
Both sexes;
    Total;100.00;11.83;41.21;39.99;6.98;
    Working;100.00;10.77;38.65;43.00;7.58;
    Unemployed;100.00;9.18;36.17;44.12;10.52;
    Studying;100.00;8.15;34.95;43.21;13.69;
    Retired person, Pensioner;100.00;14.89;49.80;33.25;2.07;
    Incapacitated to work;100.00;25.82;52.34;20.81;1.03;
    Mainly dedicated to household chores;100.00;13.60;45.60;35.99;4.80;
    Other situations;100.00;20.40;45.25;26.13;8.22;
Male;
    Total;100.00;9.17;36.34;45.13;9.36;
    Working;100.00;7.75;31.99;50.04;10.22;
    Unemployed;100.00;5.89;30.77;48.54;14.80;
    Studying;100.00;5.86;31.75;48.58;13.81;
    Retired person, Pensioner;100.00;14.51;51.16;31.92;2.41;
    Incapacitated to work;100.00;25.06;54.49;19.40;1.05;
    Mainly dedicated to household chores;100.00;7.91;45.60;45.30;1.19;
    Other situations;100.00;12.65;46.50;29.12;11.72;
Female;
    Total;100.00;14.37;45.89;35.05;4.69;
    Working;100.00;14.69;47.32;33.83;4.16;
    Unemployed;100.00;12.90;42.27;39.14;5.69;
    Studying;100.00;10.49;38.22;37.73;13.56;
    Retired person, Pensioner;100.00;15.31;48.27;34.73;1.69;
    Incapacitated to work;100.00;26.79;49.56;22.64;1.01;
    Mainly dedicated to household chores;100.00;13.70;45.60;35.83;4.87;
    Other situations;100.00;34.31;43.00;20.77;1.92;
Notes:
1) This includes only visits to specialists in outpatient offices or  accident and emergency departments.  
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