Health determiners. Absolute figures
Average number of hours of sleep by sex and Autonomous Community. Average and standard deviation.
Units: average and standard deviation

	Average	Standard deviation	
BOTH SEXES	
    Total	7.80	1.69	
    Andalucía	7.81	1.65	
    Aragón	7.82	1.81	
    Asturias, Principado de	7.74	1.76	
    Balears, Illes	8.07	1.70	
    Canarias	7.72	1.79	
    Cantabria	7.80	1.59	
    Castilla y León	7.75	1.66	
    Castilla-La Mancha	7.85	1.62	
    Cataluña	7.72	1.63	
    Comunitat Valenciana	7.83	1.79	
    Extremadura	7.75	1.57	
    Galicia	7.77	1.66	
    Madrid, Comunidad de	7.81	1.75	
    Murcia, Región de	7.91	1.66	
    Navarra, Comunidad Foral de	7.92	1.73	
    País Vasco	7.74	1.68	
    Rioja, La	7.86	1.61	
    Ceuta	8.08	1.93	
    Melilla	7.92	1.22	
MALES	
    Total	7.86	1.65	
    Andalucía	7.90	1.68	
    Aragón	7.87	1.82	
    Asturias, Principado de	7.87	1.83	
    Balears, Illes	8.11	1.64	
    Canarias	7.81	1.77	
    Cantabria	7.92	1.51	
    Castilla y León	7.83	1.64	
    Castilla-La Mancha	7.89	1.49	
    Cataluña	7.78	1.59	
    Comunitat Valenciana	7.91	1.71	
    Extremadura	7.82	1.54	
    Galicia	7.82	1.61	
    Madrid, Comunidad de	7.80	1.66	
    Murcia, Región de	7.90	1.61	
    Navarra, Comunidad Foral de	7.92	1.56	
    País Vasco	7.84	1.62	
    Rioja, La	7.89	1.52	
    Ceuta	8.21	1.68	
    Melilla	7.95	1.17	
FEMALES	
    Total	7.74	1.73	
    Andalucía	7.72	1.61	
    Aragón	7.77	1.79	
    Asturias, Principado de	7.61	1.70	
    Balears, Illes	8.03	1.75	
    Canarias	7.63	1.80	
    Cantabria	7.68	1.66	
    Castilla y León	7.66	1.68	
    Castilla-La Mancha	7.81	1.75	
    Cataluña	7.68	1.67	
    Comunitat Valenciana	7.74	1.87	
    Extremadura	7.68	1.60	
    Galicia	7.71	1.70	
    Madrid, Comunidad de	7.82	1.83	
    Murcia, Región de	7.93	1.72	
    Navarra, Comunidad Foral de	7.92	1.89	
    País Vasco	7.65	1.73	
    Rioja, La	7.84	1.69	
    Ceuta	7.96	2.14	
    Melilla	7.90	1.27	
Notes:
1) Hours of rest time are included.
The symbol '.' shall be deemed as data which cannot be given due to an insufficient sample.
 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