[FoUpFtgyrke] Internal personnel in R&D by industrial classification NACE Rev. 2, sex, occupation, 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
[Yrke] occupation
- [OCCUP_T] All occupations
- [OCCUP_RSE] Researchers, product developers or equivalent
- [OCCUP_TXRSE] Supporting staff
[ContentsCode] observations
- [000004WB] Internal personnel in R&D, number of persons
- [000004WD] Internal personnel in R&D, confidence interval (+/-)
- [000004WC] Internal personnel in R&D, full-time equivalents
- [000004WE] Internal personnel in R&D, full-time equivalents, confidence interval (+/-)
Search filters
industrial classification NACE Rev. 2 [SNI2007] (38)
sex [Kon] (3)
occupation [Yrke] (3)
observations [ContentsCode] (4)
This dataset has 1,368 series:
- from
- 2007=177
- to
- 2019=348
- min:
- 131
- max:
- 348
- avg:
- 205.143
- σ:
- 64.83
- from
- 2007=153
- to
- 2019=NA
- min:
- 116
- max:
- 158
- avg:
- 140.833
- σ:
- 15.181
- from
- 2007=35
- to
- 2019=57
- min:
- 8
- max:
- 57
- avg:
- 29
- σ:
- 16.414
- from
- 2007=31
- to
- 2019=NA
- min:
- 3
- max:
- 31
- avg:
- 12.333
- σ:
- 10.672
- from
- 2007=286
- to
- 2019=420
- min:
- 276
- max:
- 420
- avg:
- 320.429
- σ:
- 46.678
- from
- 2007=243
- to
- 2019=241
- min:
- 176
- max:
- 263
- avg:
- 220.857
- σ:
- 35.587
- from
- 2007=37
- to
- 2019=92
- min:
- 15
- max:
- 95
- avg:
- 54.714
- σ:
- 32.301
- from
- 2007=31
- to
- 2019=62
- min:
- 5
- max:
- 97
- avg:
- 30.714
- σ:
- 33.315
- from
- 2007=109
- to
- 2019=72
- min:
- 72
- max:
- 179
- avg:
- 115.143
- σ:
- 36.868
- from
- 2007=91
- to
- 2019=NA
- min:
- 34
- max:
- 131
- avg:
- 77
- σ:
- 35.261
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[01-09.00.OCCUP_RSE.000004WB] | 177 | 131 | 171 | 185 | 235 | 189 | 348 |
[01-09.00.OCCUP_RSE.000004WC] | 153 | 126 | 158 | 116 | 141 | 151 | NA |
[01-09.00.OCCUP_RSE.000004WD] | 35 | 21 | 12 | 25 | 8 | 45 | 57 |
[01-09.00.OCCUP_RSE.000004WE] | 31 | 23 | 6 | 5 | 3 | 6 | NA |
[01-09.00.OCCUP_T.000004WB] | 286 | 290 | 350 | 301 | 320 | 276 | 420 |
[01-09.00.OCCUP_T.000004WC] | 243 | 257 | 263 | 176 | 181 | 185 | 241 |
[01-09.00.OCCUP_T.000004WD] | 37 | 95 | 22 | 36 | 15 | 86 | 92 |
[01-09.00.OCCUP_T.000004WE] | 31 | 97 | 7 | 6 | 5 | 7 | 62 |
[01-09.00.OCCUP_TXRSE.000004WB] | 109 | 158 | 179 | 116 | 85 | 87 | 72 |
[01-09.00.OCCUP_TXRSE.000004WC] | 91 | 131 | 106 | 60 | 40 | 34 | NA |
Showing results 1 - 10 / 1,368