European Health Survey ASSESSMENT OF STATE OF HEALTH Assessment of perceived state of health, according to sex and professional status (current or last job). Population aged 16 years old and over that has worked, at some point in time, as a wage-earner or self-employed Units: thousands of persons Total Very good Good Fair Poor Very poor Both sexes Total 33,286.4 6,609.4 18,416.0 6,017.5 1,670.8 572.7 Wage-earner (employee) 27,976.5 5,688.7 15,628.9 4,885.9 1,309.4 463.7 Businessperson with employees 1,344.6 241.1 805.5 224.9 57.2 15.9 Businessperson without employees 3,032.6 488.2 1,518.0 695.8 253.6 77.0 Member of a cooperative 82.4 16.1 57.9 7.0 1.5 0.0 Worker in the family business 360.7 63.8 159.2 104.7 27.8 5.3 Another situation 468.1 110.3 229.9 95.7 21.4 10.8 No data recorded 21.5 .. .. .. .. .. Males Total 17,604.0 3,678.3 10,029.2 2,895.6 789.1 211.9 Wage-earner (employee) 14,407.0 3,117.4 8,206.0 2,303.9 612.7 166.9 Businessperson with employees 965.1 147.5 606.6 162.6 43.7 4.7 Businessperson without employees 1,869.9 323.8 1,004.0 383.9 122.9 35.3 Member of a cooperative 65.1 12.0 48.2 3.4 1.5 0.0 Worker in the family business 111.1 26.5 64.8 17.6 2.2 0.0 Another situation 174.3 49.8 91.7 21.7 6.1 4.9 No data recorded 11.6 .. .. .. .. .. Females Total 15,682.4 2,931.1 8,386.8 3,121.9 881.7 360.9 Wage-earner (employee) 13,569.5 2,571.2 7,422.9 2,582.0 696.7 296.7 Businessperson with employees 379.5 93.5 198.9 62.4 13.5 11.2 Businessperson without employees 1,162.7 164.4 514.0 311.9 130.8 41.7 Member of a cooperative 17.3 .. .. .. .. .. Worker in the family business 249.7 37.4 94.4 87.1 25.5 5.3 Another situation 293.8 60.5 138.2 74.0 15.3 5.9 No data recorded 9.9 .. .. .. .. .. 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