Sampling errors
Time elapsed since the last medical consultation by sex and age group. Variation coefficient
Units: percentages

	4 or less weeks ago	More than 4 weeks and less than 1 year ago	1 or over years ago	He/She has never visited a medical office	
BOTH SEXES	
    Total	1.19	1.07	2.02	21.30	
    0 to 4 years old	3.79	4.30	18.18	31.73	
    5 to 14 years old	3.68	2.54	5.04	55.76	
    15 to 24 years old	5.78	4.02	6.06	68.55	
    25 to 34 years old	4.46	3.29	4.80	69.72	
    35 to 44 years old	3.49	2.64	4.01	57.89	
    45 to 54 years old	3.64	2.98	4.28	42.62	
    55 to 64 years old	3.28	3.30	5.93	16.01	
    65 to 74 years old	3.20	3.76	7.36	71.90	
    75 to 84 years old	3.54	4.32	10.78	88.49	
    85 years old and over	6.20	7.20	15.23	25.82	
MALES	
    Total	1.84	1.57	2.47	27.56	
    0 to 4 years old	5.04	6.05	26.51	42.95	
    5 to 14 years old	5.10	3.35	6.87	40.82	
    15 to 24 years old	8.88	5.58	7.13	83.03	
    25 to 34 years old	7.08	4.76	5.83	88.81	
    35 to 44 years old	5.58	3.74	5.03	70.28	
    45 to 54 years old	5.42	4.26	5.30	47.06	
    55 to 64 years old	5.30	4.75	7.69	16.01	
    65 to 74 years old	4.96	5.49	9.99	71.90	
    75 to 84 years old	5.65	6.85	16.66	88.49	
    85 years old and over	10.89	12.82	24.74	..	
FEMALES	
    Total	1.57	1.53	3.13	33.57	
    0 to 4 years old	5.30	5.79	25.02	46.77	
    5 to 14 years old	5.31	3.83	7.64	59.38	
    15 to 24 years old	7.34	5.66	10.31	91.89	
    25 to 34 years old	5.57	4.50	7.69	91.35	
    35 to 44 years old	4.44	3.84	6.52	16.90	
    45 to 54 years old	4.72	4.22	7.26	30.15	
    55 to 64 years old	4.23	4.58	9.39	..	
    65 to 74 years old	4.06	5.21	10.79	..	
    75 to 84 years old	4.23	5.61	13.77	..	
    85 years old and over	7.43	8.74	19.53	25.82	
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