European Health Survey COBERTURA SANITARIA Modalidad de la cobertura sanitaria (Exclusiva) según sexo e ingresos mensuales netos del hogar. Población de 15 y más años. Units: thousands of persons TOTAL Exclusively public Only private Mixed Other situations No data recorded Both sexes TOTAL 39,974.1 33,701.7 260.0 5,845.2 149.5 17.6 Less than 970 euros 9,620.1 8,800.3 76.7 688.3 49.6 5.2 From 970 to less than 1400 7,072.1 6,409.1 26.2 613.8 17.9 5.1 From 1400 to less than 2040 7,473.1 6,638.0 32.8 762.4 40.0 0.0 From 2040 to less than 3280 10,074.0 8,108.3 63.4 1,870.6 24.4 7.3 3280 euros and over 5,553.9 3,611.6 60.1 1,867.9 14.3 0.0 No data recorded 180.9 134.5 0.7 42.2 3.5 0.0 Men TOTAL 19,449.1 16,495.9 143.1 2,710.2 85.0 14.9 Less than 970 euros 4,397.5 4,056.3 42.5 276.6 18.1 4.0 From 970 to less than 1400 3,459.1 3,121.6 15.9 304.5 12.5 4.6 From 1400 to less than 2040 3,710.9 3,342.9 14.5 323.9 29.6 0.0 From 2040 to less than 3280 5,033.1 4,103.4 30.4 879.7 13.3 6.3 3280 euros and over 2,774.7 1,821.6 39.1 903.7 10.3 0.0 No data recorded 73.7 50.1 0.7 21.7 1.2 0.0 Women TOTAL 20,525.0 17,205.8 116.9 3,135.0 64.5 2.7 Less than 970 euros 5,222.7 4,744.0 34.2 411.7 31.5 1.2 From 970 to less than 1400 3,613.0 3,287.5 10.3 309.3 5.4 0.5 From 1400 to less than 2040 3,762.2 3,295.1 18.3 438.5 10.3 0.0 From 2040 to less than 3280 5,040.9 4,004.9 33.0 990.9 11.1 1.0 3280 euros and over 2,779.2 1,789.9 21.1 964.2 3.9 0.0 No data recorded 107.1 84.4 0.0 20.5 2.2 0.0 Notes: 1) One person can only have health coverage exclusively public, exclusively private or mixed. It is understood by mixed health coverage that of those persons that have public and private health coverage simultaneously. The symbol '.' shall be deemed as datum which cannot be given due to an insufficient sample The symbol '..' Shall be deemed as datum which is not collected for that classification of the table The data corresponding to cells with less 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