European Health Survey  
VISITS TO THE SPECIALIST
Main reason for not going to the specialist when needed, in the last 12 months, according to sex and age group. Population that needed to see a specialist in the last 12 months and did not do so
Units: percentage

	Total	Could not afford it (expensive, not covered by insurance)	Wait listed, without a referral	Did not have time (due to work, caring for children or other persons)	Too far away, without means of transport	Fear of doctors, hospitals, treatment, etc.	Decided to wait and see if there was improvement	Did not know any good specialist	Other reasons	
Both sexes	
    Total	100.00	4.43	20.80	28.91	1.01	5.19	21.86	1.68	16.13	
    16 to 24 years old	100.00	5.33	18.99	22.88	0.00	6.37	26.71	1.38	18.34	
    25 to 44 years old	100.00	4.16	19.84	39.31	0.42	3.99	18.88	1.91	11.50	
    45 to 64 years old	100.00	5.06	22.20	24.81	1.01	4.68	23.38	1.36	17.51	
    65 years old and over	100.00	3.13	22.15	5.39	3.99	10.09	25.28	1.86	28.11	
Male	
    Total	100.00	3.53	18.09	31.09	0.61	5.12	23.74	2.41	15.41	
    16 to 24 years old	100.00	1.86	16.22	21.92	0.00	10.22	34.91	1.81	13.05	
    25 to 44 years old	100.00	4.18	15.94	40.12	0.82	3.69	20.29	3.26	11.70	
    45 to 64 years old	100.00	4.05	20.96	27.10	0.30	3.78	25.23	1.40	17.17	
    65 years old and over	100.00	0.00	21.95	4.86	1.13	12.28	25.97	1.76	32.04	
Female	
    Total	100.00	5.04	22.63	27.43	1.28	5.24	20.58	1.18	16.62	
    16 to 24 years old	100.00	7.63	20.83	23.51	0.00	3.81	21.27	1.09	21.85	
    25 to 44 years old	100.00	4.14	22.87	38.69	0.10	4.22	17.78	0.86	11.33	
    45 to 64 years old	100.00	5.74	23.02	23.29	1.48	5.27	22.16	1.32	17.73	
    65 years old and over	100.00	4.45	22.23	5.62	5.19	9.16	24.99	1.90	26.45	
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