Sampling errors Hospitalization in the last 12 months by sex and Autonomous Community. Variation coefficient Units: percentages He/She was hospitalised He/She was not hospitalised BOTH SEXES Total 2.60 0.68 Andalucía 7.75 1.82 Aragón 12.50 3.48 Asturias, Principado de 11.51 2.62 Balears, Illes 11.55 4.00 Canarias 10.96 2.87 Cantabria 12.28 3.91 Castilla y León 8.78 2.16 Castilla-La Mancha 11.25 3.02 Cataluña 6.71 1.75 Comunitat Valenciana 9.22 2.16 Extremadura 9.95 2.95 Galicia 9.79 2.41 Madrid, Comunidad de 7.70 2.27 Murcia, Región de 11.50 3.65 Navarra, Comunidad Foral de 14.32 2.77 País Vasco 9.29 1.99 Rioja, La 13.05 3.49 Ceuta 29.80 9.88 Melilla 25.83 6.68 MALES Total 4.10 1.04 Andalucía 12.72 2.76 Aragón 18.31 4.84 Asturias, Principado de 16.30 5.02 Balears, Illes 17.02 5.52 Canarias 16.64 4.16 Cantabria 22.97 6.60 Castilla y León 11.81 3.56 Castilla-La Mancha 16.20 4.67 Cataluña 10.64 2.81 Comunitat Valenciana 14.38 3.19 Extremadura 15.05 5.14 Galicia 13.79 4.11 Madrid, Comunidad de 12.57 3.31 Murcia, Región de 17.51 5.12 Navarra, Comunidad Foral de 20.68 4.48 País Vasco 16.11 3.94 Rioja, La 22.60 4.62 Ceuta 53.83 13.08 Melilla 48.43 10.93 FEMALES Total 3.42 1.01 Andalucía 9.36 2.73 Aragón 15.84 5.03 Asturias, Principado de 16.74 4.21 Balears, Illes 14.43 5.76 Canarias 14.35 4.10 Cantabria 15.35 5.56 Castilla y León 14.48 3.13 Castilla-La Mancha 14.40 4.16 Cataluña 9.27 2.73 Comunitat Valenciana 11.21 3.21 Extremadura 13.48 4.42 Galicia 14.28 3.54 Madrid, Comunidad de 10.38 3.21 Murcia, Región de 15.29 4.94 Navarra, Comunidad Foral de 20.70 4.95 País Vasco 13.75 3.57 Rioja, La 14.80 4.92 Ceuta 32.20 11.04 Melilla 34.66 8.02 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