[FoUpFtgutb] Internal doctoral graduates in R&D by industrial classification NACE Rev. 2, sex, observations and every other year
Updated on DBnomics on April 6, 2022 (11:25 AM).
[SNI2007] industrial classification NACE Rev. 2
- [SA] all industries
- [IFI] research institutes, all surveyed industries
- [IKT] 261-264+268+465+582+61-62+631+951 ICT-sector
- [01-43] 01-43 manufacturing companies
- [01-09] 01-09 companies in agriculture, forestry and fishing; mines and quarries
- [10-33] 10-33 manufacturing
- [10-12] 10-12 food product, beverage and tobacco industry
- [13-16+18] 13-16+18 textile industry; wearing apparel industry; industry for leather and related products; industry for wood and products of wood, cork, cane etc., except furniture; printers; other industry for recorded media
- [16] 16 industry for wood and products of wood, cork, cane etc. , except furniture
- [17] 17 industry for paper and paper products
- [19-20] 19-20 manufacture of refined petroleum and chemical industry
- [21] 21 industry for basic pharmaceutical products and pharmaceutical preparations
- [22] 22 industry for rubber and plastic products
- [23] 23 industry for other non-metallic mineral products
- [24] 24 industry for basic metals
- [25-28] 25-28 industry for fabricated metal products, except machinery and equipment; industry for computer, electronic and optical products; industry for electrical equipment; industry for machinery and equipment n.e.c.
- [25-30] 25-30 industry for fabricated metal products, except machinery and equipment; industry for computer, electronic and optical products; industry for electrical equipment; industry for machinery and equipment n.e.c.; industry for transport equipment
- [25] 25 industry for fabricated metal products, except machinery and equipment
- [26] 26 industry for computer, electronic and optical products
- [27] 27 industry for electrical equipment
- [28] 28 industry for machinery and equipment n.e.c.
- [29-30] 29-30 industry for transport equipment
- [31-32] 31-32 other manufacturing industries
- [33] 33 repair shops and installation companies for machinery and equipment
- [35-39] 35-39 energy and recycling
- [41-43] 41-43 construction
- [45-99] 45-99 service producing companies
- [45-47+55-56] 45-47+55-56 wholesale and retail trade; repair of motor vehicles and motorcycles; accommodation and food service activates
- [47] 47 retail trade, except of motor vehicles and motorcycles
- [49-53] 49-53 transport and storage
- [58-60] 58-60 publishers; motion picture, video and television programme companies, sound recording studios and music publishers; programming and broadcasting companies
- [58-63] 58-63 information and communication
- [64-66] 64-66 financial and insurance activities
- [68+77-81] 68+77-81 real estate activities; administrative and support service activities
- [69-70] 69-70 legal and accounting activities; activities of head offices; management consultancy activities
- [71] 71 architect´s offices, technical consultancy companies, companies for technical testing and analysis
- [72] 72 institutes for scientific research and development
- [73-75+82+84-99] 73-75+82+84-99 advertising and market research; other professional, scientific and technical activities; veterinary activities; office administrative, office support and other business support activities; public administration and defence; compulsory social securit
[Kon] sex
- [00] women and men
- [2] women
- [1] men
[ContentsCode] observations
- [000004WQ] Doctoral graduates in R&D personnel, number of persons
- [000004WS] Doctoral graduates in R&D personnel, confidence interval (+/-)
Search filters
industrial classification NACE Rev. 2 [SNI2007] (38)
sex [Kon] (3)
observations [ContentsCode] (2)
This dataset has 228 series:
- from
- 2007=54
- to
- 2019=59
- min:
- 41
- max:
- 65
- avg:
- 54.5
- σ:
- 7.433
- from
- 2007=8
- to
- 2019=7
- min:
- 2
- max:
- 10
- avg:
- 6.667
- σ:
- 2.427
- from
- 2007=35
- to
- 2019=37
- min:
- 25
- max:
- 86
- avg:
- 41.667
- σ:
- 20.344
- from
- 2007=6
- to
- 2019=5
- min:
- 0
- max:
- 7
- avg:
- 3.667
- σ:
- 2.494
- from
- 2007=19
- to
- 2019=22
- min:
- 16
- max:
- 27
- avg:
- 21.4
- σ:
- 3.72
- from
- 2007=5
- to
- 2019=3
- min:
- 0
- max:
- 7
- avg:
- 3
- σ:
- 2.757
- from
- 2007=3,638
- to
- 2019=4,367
- min:
- 3,140
- max:
- 4,770
- avg:
- 3,889.286
- σ:
- 490.706
- from
- 2007=105
- to
- 2019=126
- min:
- 84
- max:
- 230
- avg:
- 140.857
- σ:
- 52.992
- from
- 2007=2,735
- to
- 2019=2,922
- min:
- 2,299
- max:
- 3,026
- avg:
- 2,752.286
- σ:
- 213.295
- from
- 2007=99
- to
- 2019=95
- min:
- 60
- max:
- 195
- avg:
- 116.571
- σ:
- 46.613
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[01-09.00.000004WQ] | 54 | 51 | NA | 41 | 57 | 65 | 59 |
[01-09.00.000004WS] | 8 | 6 | NA | 2 | 10 | 7 | 7 |
[01-09.1.000004WQ] | 35 | 29 | 86 | 25 | NA | 38 | 37 |
[01-09.1.000004WS] | 6 | 2 | 0 | 2 | NA | 7 | 5 |
[01-09.2.000004WQ] | 19 | 23 | NA | 16 | NA | 27 | 22 |
[01-09.2.000004WS] | 5 | 7 | NA | 0 | NA | 0 | 3 |
[01-43.00.000004WQ] | 3638 | 3868 | 3719 | 3723 | 3140 | 4770 | 4367 |
[01-43.00.000004WS] | 105 | 84 | 144 | 230 | 90 | 207 | 126 |
[01-43.1.000004WQ] | 2735 | 2829 | 2697 | 2758 | 2299 | 3026 | 2922 |
[01-43.1.000004WS] | 99 | 60 | 136 | 164 | 67 | 195 | 95 |
Showing results 1 - 10 / 228