Active population by level of education attained, sex and Autonomous Community. Absolute values

• 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
  • Educational level attained

    Values that contain

    Total Illiterates Primary education First stage of secondary education and the corresponding training and labour insertion Second stage of secondary education and the corresponding training and labour insertion Training and labour insertion with secondary degree (2nd stage) Higher education, except doctorate Doctorate

    Selected:1

    Total:8
  • Period

    Valores que comienzan por...

    2013QIV 2013QIII 2013QII 2013QI 2012QIV 2012QIII 2012QII 2012QI 2011QIV 2011QIII 2011QII 2011QI 2010QIV 2010QIII 2010QII 2010QI 2009QIV 2009QIII 2009QII 2009QI 2008QIV 2008QIII 2008QII 2008QI 2007QIV 2007QIII 2007QII 2007QI 2006QIV 2006QIII 2006QII 2006QI 2005QIV 2005QIII 2005QII 2005QI

    Selected:1

    Total:36
• Choose format of the table

  • • 	Educational level attained Period
      Sex Autonomous Communities and Cities	.	.	.
      	.	.	.
      	.	.	.

    • Decimals to show: By default 0 1
• Notes ( 2 )
  • From the first quarter of 2003, the category "second stage of secondary education and training, and the corresponding labour market insertion" includes the Social Guarantee/Professional Initiation programmes. The new degree and official university master studies are included among higher education, expect for doctorate.
  • The results for Ceuta and Melilla must be viewed with caution because they may be affected by large sampling errors.