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