[392_584] PhD graduates - socio-demographic characteristics and curriculum
Retrieved by DBnomics on January 11, 2023 (1:18 PM).
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
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