[392_584] PhD graduates - socio-demographic characteristics and curriculum
Retrieved by DBnomics on January 11, 2023 (1:18 PM).
[FREQ] Frequency
[A] annual
[AREADIDATTICA] Field of study
[17] mathematics and computing
[18] physics
[19] chemistry
[20] geography and geology
[21] biology
[22] medical sciences
[23] agriculture and veterinary
[24] architecture and construction
[25] engineering, technology
[26] languages,philological sciences, art and archeology
[27] humanities, psychology and development studies
[28] legal sciences
[29] economics and statistics
[30] political science and civics
[99] total
[CITTADINANZA] Citizenship
[FRG] foreign
[ITL] italian
[TOTAL] total
[CLASSE_ETA] Age class
[Y30-34] 30-34 years
[Y35-39] 35-39 years
[Y40-44] 40-44 years
[Y_GE30] 30 years and over
[Y_GE45] 45 years and over
[FINANZIAMENTO_DOTT] Income source during education
[ALL] all items
[LAB] earned income
[NOSOUR] no source of income
[SCHOLWHOLE] scholarship (the whole legal time of the programme)
[SCOLPART] scholarship (part of the legal time of the programme)
[ITTER107] Territory
[IT] Italy
[SESSO] Gender
[1] males
[2] females
[9] total
[TIPO_DATO] Data type
[01] doctoral graduates (absolut values)
[02] doctoral graduates by gender (per 100 people having the same carachteristics)
[29] doctoral graduates by father's and mother's highest level of education attained (per 100 people having the same carachteristics)
[ANNO_CONSEGUIMENTO_TITOLO] Year of educational attainement
[2004]
[2006]
[2008]
[2010]
[2012]
[2014]
[TITOLO_STUDIO_MADRE] Mother's highest level of education attained
[20] n.a.
[3] primary school certificate, no educational degree
[4] lower secondary school certificate
[67] upper secondary school certificate or diploma of upper secondary education (4-5 years)
[68] university qualification
[99] total
[SI_NO_TITOLO] Programme completed within the legal time
[0] no
[1] yes
[9] total
[STATO_CIV] Marital status
[1] never married
[14] de facto separated, legally separated, divorced or widowed
[2] married
[99] total
[TITOLO_STUDIO_PADRE] Father's highest level of education attained
[20] n.a.
[3] primary school certificate, no educational degree
[4] lower secondary school certificate
[67] upper secondary school certificate or diploma of upper secondary education (4-5 years)
[68] university qualification
[99] total
Search filters
Frequency [FREQ] (1)
Field of study [AREADIDATTICA] (15)
Citizenship [CITTADINANZA] (3)
Age class [CLASSE_ETA] (5)
Income source during education [FINANZIAMENTO_DOTT] (5)
Territory [ITTER107] (1)
Gender [SESSO] (3)
Data type [TIPO_DATO] (3)
Year of educational attainement [ANNO_CONSEGUIMENTO_TITOLO] (6)
Mother's highest level of education attained [TITOLO_STUDIO_MADRE] (6)
Programme completed within the legal time [SI_NO_TITOLO] (3)
Marital status [STATO_CIV] (4)
Father's highest level of education attained [TITOLO_STUDIO_PADRE] (6)
This dataset has 1,016 series:
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=221
- to
- 2014=221
- min:
- 221
- max:
- 221
- avg:
- 221
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=219
- to
- 2014=219
- min:
- 219
- max:
- 219
- avg:
- 219
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2012.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2012 – total (99) – total – total (99) – total (99)
- from
- 2018=243
- to
- 2018=243
- min:
- 243
- max:
- 243
- avg:
- 243
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2014.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2014 – total (99) – total – total (99) – total (99)
- from
- 2018=259
- to
- 2018=259
- min:
- 259
- max:
- 259
- avg:
- 259
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=69.5
- to
- 2014=69.5
- min:
- 69.5
- max:
- 69.5
- avg:
- 69.5
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=63.8
- to
- 2014=63.8
- min:
- 63.8
- max:
- 63.8
- avg:
- 63.8
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2012.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2012 – total (99) – total – total (99) – total (99)
- from
- 2018=69
- to
- 2018=69
- min:
- 69
- max:
- 69
- avg:
- 69
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2014.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2014 – total (99) – total – total (99) – total (99)
- from
- 2018=73.6
- to
- 2018=73.6
- min:
- 73.6
- max:
- 73.6
- avg:
- 73.6
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.2.01.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – females (2) – doctoral graduates (absolut values) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=97
- to
- 2014=97
- min:
- 97
- max:
- 97
- avg:
- 97
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.2.01.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – females (2) – doctoral graduates (absolut values) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=124
- to
- 2014=124
- min:
- 124
- max:
- 124
- avg:
- 124
- σ:
- 0
Loading chart
Search filters
Frequency [FREQ] (1)
Field of study [AREADIDATTICA] (15)
Citizenship [CITTADINANZA] (3)
Age class [CLASSE_ETA] (5)
Income source during education [FINANZIAMENTO_DOTT] (5)
Territory [ITTER107] (1)
Gender [SESSO] (3)
Data type [TIPO_DATO] (3)
Year of educational attainement [ANNO_CONSEGUIMENTO_TITOLO] (6)
Mother's highest level of education attained [TITOLO_STUDIO_MADRE] (6)
Programme completed within the legal time [SI_NO_TITOLO] (3)
Marital status [STATO_CIV] (4)
Father's highest level of education attained [TITOLO_STUDIO_PADRE] (6)
This dataset has 1,016 series:
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=221
- to
- 2014=221
- min:
- 221
- max:
- 221
- avg:
- 221
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=219
- to
- 2014=219
- min:
- 219
- max:
- 219
- avg:
- 219
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2012.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2012 – total (99) – total – total (99) – total (99)
- from
- 2018=243
- to
- 2018=243
- min:
- 243
- max:
- 243
- avg:
- 243
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.01.2014.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates (absolut values) – 2014 – total (99) – total – total (99) – total (99)
- from
- 2018=259
- to
- 2018=259
- min:
- 259
- max:
- 259
- avg:
- 259
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=69.5
- to
- 2014=69.5
- min:
- 69.5
- max:
- 69.5
- avg:
- 69.5
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=63.8
- to
- 2014=63.8
- min:
- 63.8
- max:
- 63.8
- avg:
- 63.8
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2012.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2012 – total (99) – total – total (99) – total (99)
- from
- 2018=69
- to
- 2018=69
- min:
- 69
- max:
- 69
- avg:
- 69
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.1.02.2014.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – males (1) – doctoral graduates by gender (per 100 people having the same carachteristics) – 2014 – total (99) – total – total (99) – total (99)
- from
- 2018=73.6
- to
- 2018=73.6
- min:
- 73.6
- max:
- 73.6
- avg:
- 73.6
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.2.01.2008.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – females (2) – doctoral graduates (absolut values) – 2008 – total (99) – total – total (99) – total (99)
- from
- 2014=97
- to
- 2014=97
- min:
- 97
- max:
- 97
- avg:
- 97
- σ:
- 0
[A.17.TOTAL.Y_GE30.ALL.IT.2.01.2010.99.9.99.99] annual – mathematics and computing – total – 30 years and over – all items – Italy – females (2) – doctoral graduates (absolut values) – 2010 – total (99) – total – total (99) – total (99)
- from
- 2014=124
- to
- 2014=124
- min:
- 124
- max:
- 124
- avg:
- 124
- σ:
- 0
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