Employed by occupation, sex and Autonomous Community. Percentages with respects to the total of each community

• Select values to consult
  • Sex

    Values that contain

    Both sexes Males Females

    Selected:3

    Total:3
  • Autonomous Communities and Cities

    Values that contain

    National Total 01 Andalucía 02 Aragón 03 Asturias, Principado de 04 Balears, Illes 05 Canarias 06 Cantabria 07 Castilla y León 08 Castilla - La Mancha 09 Cataluña 10 Comunitat Valenciana 11 Extremadura 12 Galicia 13 Madrid, Comunidad de 14 Murcia, Región de 15 Navarra, Comunidad Foral de 16 País Vasco 17 Rioja, La 18 Ceuta 19 Melilla

    Selected:1

    Total:20
  • Occupation NCO-11

    Values that contain

    Total 1 Directors and managers 2 Scientific and intellectual technicians and professionals 3 Technicians; support professionals 4 Accounting, administrative and other office employees 5 Workers in catering, personal, and protection services and salespersons 6 Skilled agricultural, livestock, forestry and fishing sector workers 7 Craftspersons and skilled workers in manufacturing and construction (except installation and machinery operators 8 Installation and machinery operators and assemblers 9 Basic occupations 0 Military occupations

    Selected:1

    Total:11
  • Period

    Valores que comienzan por...

    2023QIV 2023QIII 2023QII 2023QI 2022QIV 2022QIII 2022QII 2022QI 2021QIV 2021QIII 2021QII 2021QI

    Selected:1

    Total:12
• Choose format of the table

  • • 	Occupation NCO-11 Period
      Sex Autonomous Communities and Cities	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1
• Notes ( 2 )
  • The results of Ceuta and Melilla may be considered with caution because they may be affected by considerable sample errors
  • In the first quarter of 2020, as a consequence of the declaration of the high alert period (Royal Decrees 463/2020 and 487/2020) caused by the COVID-19 pandemic, the sample size of the first EPA interviews in weeks 11 to 13 has been lower than in other quarters, meaning that the variation coefficients for the most disaggregated estimates may be higher than usual. We recommended that you consult the related INEbase tables coeficientes de variación.