Socio-demographic characteristics and curriculum [392_584]

Updated by DBnomics on June 11, 2019

Frequency [FREQ]
Field of study [AREADIDATTICA]
Citizenship [CITTADINANZA]
Age class [CLASSE_ETA]
Income source during education [FINANZIAMENTO_DOTT]
Territory [ITTER107]
Gender [SESSO]
Data type [TIPO_DATO]
Year of educational attainement [ANNO_CONSEGUIMENTO_TITOLO]
Mother's highest level of education attained [TITOLO_STUDIO_MADRE]
Programme completed within the legal time [SI_NO_TITOLO]
Marital status [STATO_CIV]
Father's highest level of education attained [TITOLO_STUDIO_PADRE]

Dataset has 514 series. Add search filters to narrow them.

Dimensions codes and labels
[FREQ] Frequency
  • [A] annual
[AREADIDATTICA] Field of study
  • [23] agriculture and veterinary
  • [24] architecture and construction
  • [21] biology
  • [19] chemistry
  • [29] economics and statistics
  • [25] engineering, technology
  • [20] geography and geology
  • [27] humanities, psychology and development studies
  • [26] languages,philological sciences, art and archeology
  • [28] legal sciences
  • [17] mathematics and computing
  • [22] medical sciences
  • [18] physics
  • [30] political science and civics
  • [99] total
[CITTADINANZA] Citizenship
  • [FRG] foreign
  • [ITL] italian
  • [TOTAL] total
[CLASSE_ETA] Age class
  • [Y_GE30] 30 years and over
  • [Y30-34] 30-34 years
  • [Y35-39] 35-39 years
  • [Y40-44] 40-44 years
  • [Y_GE45] 45 years and over
[FINANZIAMENTO_DOTT] Income source during education
  • [ALL] all items
  • [LAB] earned income
  • [NOSOUR] no source of income
  • [SCOLPART] scholarship (part of the legal time of the programme)
  • [SCHOLWHOLE] scholarship (the whole legal time of the programme)
[ITTER107] Territory
  • [IT] Italy
[SESSO] Gender
  • [2] females
  • [1] males
  • [9] total
[TIPO_DATO] Data type
  • [01] doctoral graduates (absolut values)
  • [29] doctoral graduates by father's and mother's highest level of education attained (per 100 people having the same carachteristics)
  • [02] doctoral graduates by gender (per 100 people having the same carachteristics)
[ANNO_CONSEGUIMENTO_TITOLO] Year of educational attainement
  • [2004] 2004
  • [2006] 2006
  • [2008] 2008
  • [2010] 2010
[TITOLO_STUDIO_MADRE] Mother's highest level of education attained
  • [4] lower secondary school certificate
  • [20] n.a.
  • [3] primary school certificate, no educational degree
  • [99] total
  • [68] university qualification
  • [67] upper secondary school certificate or diploma of upper secondary education (4-5 years)
[SI_NO_TITOLO] Programme completed within the legal time
  • [0] no
  • [9] total
  • [1] yes
[STATO_CIV] Marital status
  • [14] de facto separated, legally separated, divorced or widowed
  • [2] married
  • [1] never married
  • [99] total
[TITOLO_STUDIO_PADRE] Father's highest level of education attained
  • [4] lower secondary school certificate
  • [20] n.a.
  • [3] primary school certificate, no educational degree
  • [99] total
  • [68] university qualification
  • [67] upper secondary school certificate or diploma of upper secondary education (4-5 years)
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