[FoUuFtgfou] Intramural R&D expenditures by industrial classification NACE Rev. 2, type of R&D, 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
[TypavFoU] type of R&D
- [IRD_COST_T] Total expenditure for intramural R&D
- [IRD_BR] Basic research
- [IRD_AR] Applied research
- [IRD_ED] Experimental development
[ContentsCode] observations
- [000004VQ] Intramural R&D, current prices
- [000004VR] Confidence interval (+/-), current prices
Search filters
industrial classification NACE Rev. 2 [SNI2007] (38)
type of R&D [TypavFoU] (4)
observations [ContentsCode] (2)
This dataset has 304 series:
- from
- 2013=75
- to
- 2019=87
- min:
- 75
- max:
- 87
- avg:
- 81
- σ:
- 6
- from
- 2013=16
- to
- 2019=7
- min:
- 7
- max:
- 16
- avg:
- 11.5
- σ:
- 4.5
- from
- 2013=0
- to
- 2019=1
- min:
- 0
- max:
- 1
- avg:
- 0.5
- σ:
- 0.5
- from
- 2013=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=373
- to
- 2019=404
- min:
- 343
- max:
- 404
- avg:
- 373.333
- σ:
- 24.904
- from
- 2013=162
- to
- 2019=64
- min:
- 4
- max:
- 162
- avg:
- 76.667
- σ:
- 65.122
- from
- 2013=298
- to
- 2019=315
- min:
- 248
- max:
- 315
- avg:
- 291.25
- σ:
- 25.704
- from
- 2013=146
- to
- 2019=62
- min:
- 3
- max:
- 146
- avg:
- 54.75
- σ:
- 57.539
- from
- 2013=6,533
- to
- 2019=12,158
- min:
- 6,533
- max:
- 12,158
- avg:
- 9,104.75
- σ:
- 2,037.622
- from
- 2013=137
- to
- 2019=316
- min:
- 88
- max:
- 320
- avg:
- 215.25
- σ:
- 104.21
Series code | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|
[01-09.IRD_AR.000004VQ] | 75 | NA | NA | 87 |
[01-09.IRD_AR.000004VR] | 16 | NA | NA | 7 |
[01-09.IRD_BR.000004VQ] | 0 | NA | NA | 1 |
[01-09.IRD_BR.000004VR] | 1 | NA | NA | 1 |
[01-09.IRD_COST_T.000004VQ] | 373 | 343 | NA | 404 |
[01-09.IRD_COST_T.000004VR] | 162 | 4 | NA | 64 |
[01-09.IRD_ED.000004VQ] | 298 | 248 | 304 | 315 |
[01-09.IRD_ED.000004VR] | 146 | 3 | 8 | 62 |
[01-43.IRD_AR.000004VQ] | 6533 | 8337 | 9391 | 12158 |
[01-43.IRD_AR.000004VR] | 137 | 88 | 320 | 316 |
Showing results 1 - 10 / 304