European Health Survey VISITS TO THE SPECIALIST Place of the last visit to a specialist in the last 4 weeks, according to sex and current relationship with economic activity. Population aged 16 years old and over that has visited a specialist in the last 4 weeks Units: thousands of persons Total Outpatient hospital office or medical centre Accident and Emergency services of a hospital Office of an doctor with a private practice or working with a private insurance firm Another place No data recorded Both sexes Total 4,528.3 3,201.1 162.4 1,034.4 127.1 3.3 Working 1,956.6 1,243.4 68.6 574.4 70.2 0.0 Unemployed 455.1 350.3 13.6 77.0 11.7 2.5 Studying 236.5 134.2 9.5 79.0 13.7 0.0 Retired person, Pensioner 1,032.3 802.5 44.4 167.3 18.2 0.0 Incapacitated to work 242.7 199.7 0.0 33.9 8.3 0.8 Mainly dedicated to household chores 567.9 441.5 25.2 96.0 5.1 0.0 Other situations 37.2 .. .. .. .. .. No data recorded 0.0 .. .. .. .. .. Male Total 1,722.0 1,195.4 60.1 392.7 70.4 3.3 Working 797.0 499.0 31.6 225.9 40.5 0.0 Unemployed 154.8 115.5 6.3 24.6 5.9 2.5 Studying 85.8 46.4 3.5 32.7 3.2 0.0 Retired person, Pensioner 530.9 412.2 18.8 84.7 15.2 0.0 Incapacitated to work 132.9 105.0 0.0 22.3 4.7 0.8 Mainly dedicated to household chores 5.7 .. .. .. .. .. Other situations 14.8 .. .. .. .. .. No data recorded 0.0 .. .. .. .. .. Female Total 2,806.3 2,005.7 102.2 641.7 56.7 0.0 Working 1,159.6 744.4 37.0 348.5 29.7 0.0 Unemployed 300.3 234.8 7.3 52.4 5.8 0.0 Studying 150.7 87.8 6.1 46.3 10.5 0.0 Retired person, Pensioner 501.4 390.2 25.5 82.6 3.0 0.0 Incapacitated to work 109.9 94.7 0.0 11.6 3.6 0.0 Mainly dedicated to household chores 562.2 436.8 25.2 96.0 4.2 0.0 Other situations 22.4 .. .. .. .. .. No data recorded 0.0 .. .. .. .. .. 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