Economically Active Population Survey Chapter III. Provincial results % with respects to the total of each province. Employed by province and occupation. Units: % ,Total,Management of companies and Public Administration,Scientific and intellectual professionals and technicians,Support technicians and professionals,Administrative type employees,Catering, personal, protection and sales services workers.,Workers skilled in agriculture and fishing,Skilled manufacturing industry craftsmen and workers, construction and mining, except machinery operators,Installations and machinery operators fitters,Unskilled workers,Armed forces, Total,100.0,7.5,12.3,10.3,9.5,14.4,3.8,17.5,10.1,14.1,0.6, Álava,100.0,5.9,13.7,12.6,7.7,13.4,2.9,15.3,17.7,10.8,0.1, Albacete,100.0,8.1,11.3,8.2,7.2,14.3,4.9,17.4,13.7,13.9,1.0, Alicante,100.0,7.9,9.7,6.5,10.2,14.1,2.0,19.6,13.6,16.2,0.2, Almería,100.0,9.2,9.8,7.8,7.5,12.5,10.3,13.4,5.2,23.7,0.7, Asturias,100.0,7.3,12.0,11.3,7.1,14.3,6.9,19.0,9.3,12.4,0.4, Ávila,100.0,10.2,9.8,6.1,5.8,14.2,15.6,16.7,10.7,10.5,0.3, Badajoz,100.0,9.1,12.8,7.1,5.5,14.5,6.6,17.1,7.3,18.5,1.6, Balears (Illes),100.0,9.5,9.6,9.4,10.8,19.7,2.1,20.1,5.1,13.3,0.6, Barcelona,100.0,8.2,12.2,9.6,15.2,12.7,0.8,17.0,13.1,11.1,.., Burgos,100.0,6.9,11.0,10.1,5.5,14.7,5.8,18.3,18.5,8.9,0.3, Cáceres,100.0,9.9,11.8,7.5,9.5,13.3,10.2,15.5,7.1,15.2,0.1, Cádiz,100.0,5.4,10.3,9.6,5.6,17.0,3.5,18.3,7.6,19.5,3.2, Cantabria,100.0,6.5,9.0,10.6,7.6,16.7,5.0,17.8,12.3,14.5,0.0, Castellon de la Plana,100.0,8.1,7.2,8.8,9.2,11.1,6.4,17.9,20.3,11.0,0.1, Ciudad Real,100.0,9.3,9.2,7.3,8.1,14.0,6.9,20.1,12.7,12.1,0.3, Córdoba,100.0,7.1,10.7,8.9,6.9,13.0,3.0,20.7,8.1,20.7,0.9, Coruña (A),100.0,9.4,9.3,8.6,8.7,12.8,8.8,21.7,8.5,11.3,0.8, Cuenca,100.0,8.0,8.3,7.0,4.1,13.7,12.7,16.9,9.0,20.3,.., Girona,100.0,10.3,8.4,13.7,6.0,15.4,3.8,19.0,12.5,10.8,0.1, Granada,100.0,7.5,15.2,7.7,8.1,15.7,5.2,14.1,5.6,20.3,0.5, Guadalajara,100.0,8.7,12.9,11.4,8.2,11.4,4.0,16.9,6.7,18.9,0.9, Guipúzcoa,100.0,7.0,12.8,10.4,8.2,14.5,1.8,20.6,16.1,8.5,0.0, Huelva,100.0,6.6,8.8,8.1,7.2,15.2,3.2,18.8,9.0,22.8,0.2, Huesca,100.0,8.4,10.0,10.1,4.7,15.0,11.1,21.6,11.0,8.0,0.2, Jaén,100.0,7.1,10.6,8.2,4.8,12.5,4.8,18.2,11.0,22.4,0.5, León,100.0,9.0,11.3,9.2,6.2,14.1,8.2,20.6,10.5,10.0,0.8, Lleida,100.0,9.1,10.8,8.6,8.1,15.1,9.8,20.5,9.4,7.7,0.6, Lugo,100.0,8.4,9.1,3.7,6.4,13.1,25.8,15.9,6.8,10.7,0.2, Madrid,100.0,5.6,18.4,15.0,12.8,14.3,0.5,15.1,5.7,11.8,0.7, Málaga,100.0,7.5,10.0,7.6,10.8,16.9,2.7,17.1,8.1,19.2,0.2, Murcia,100.0,7.6,12.6,7.6,9.2,13.1,4.1,17.3,8.3,18.9,1.2, Navarra,100.0,9.2,13.3,10.7,6.6,12.5,5.9,20.1,13.1,8.3,0.2, Ourense,100.0,10.3,12.0,7.0,7.7,14.2,9.5,15.3,10.3,13.7,0.0, Palencia,100.0,7.9,10.0,7.3,5.5,15.1,11.1,20.1,13.9,8.9,0.3, Palmas (Las),100.0,5.8,9.8,8.8,10.9,20.0,1.5,15.3,6.9,20.1,0.9, Pontevedra,100.0,9.3,9.5,8.9,6.5,13.4,9.4,20.5,8.9,13.0,0.5, Rioja (La),100.0,10.5,9.7,9.6,6.7,11.9,8.3,16.8,19.4,6.5,0.5, Salamanca,100.0,9.1,13.9,8.2,9.4,14.6,5.9,19.0,6.0,13.2,0.7, Santa Cruz de Tenerife,100.0,8.0,10.7,6.4,10.2,19.0,3.6,15.1,8.3,17.6,0.9, Segovia,100.0,10.0,12.5,9.9,5.0,14.4,10.5,17.5,6.4,13.2,0.6, Sevilla,100.0,8.0,14.0,11.1,9.2,15.2,2.2,15.2,7.4,17.0,0.9, Soria,100.0,5.2,12.8,4.7,8.5,12.8,12.5,18.6,13.8,10.9,0.2, Tarragona,100.0,7.7,10.4,11.4,7.4,15.7,4.6,17.4,12.6,12.6,0.0, Teruel,100.0,7.1,10.3,7.2,4.4,11.9,17.1,18.9,11.0,12.1,.., Toledo,100.0,6.7,8.0,7.0,7.3,12.2,5.4,23.4,15.7,13.8,0.5, Valencia,100.0,6.1,11.1,11.7,6.5,13.8,2.7,17.9,12.1,17.6,0.4, Valladolid,100.0,6.3,12.4,15.2,7.1,15.0,2.7,16.3,9.6,14.4,1.1, Vizcaya,100.0,6.8,14.6,15.6,5.5,15.6,0.8,18.6,11.9,10.6,0.0, Zamora,100.0,11.3,10.5,4.8,7.9,11.0,18.7,16.9,6.3,12.2,0.3, Zaragoza,100.0,7.3,12.8,13.6,6.2,11.9,2.8,16.3,15.5,12.8,0.8, Ceuta and Melilla,100.0,10.0,14.5,5.9,10.2,21.9,0.1,9.0,3.4,13.9,11.1, Notes: 1) The estimates for Ceuta and Melilla are not published broken down because the sample size in each one of them does not permit this Source: National Statistics Institute