[FoUpOfford] Government sectors internal R&D personnel, number of persons by region, sector, sex, occupation, field of science, observations and every other year
Updated on DBnomics on April 6, 2022 (11:25 AM).
[Region] region
- [00] Sweden
- [01] Stockholm county
- [03] Uppsala county
- [04] Södermanland county
- [05] Östergötland county
- [06] Jönköping county
- [07] Kronoberg county
- [08] Kalmar county
- [09] Gotland county
- [10] Blekinge county
- [12] Skåne county
- [13] Halland county
- [14] Västra Götaland county
- [17] Värmland county
- [18] Örebro county
- [19] Västmanland county
- [20] Dalarna county
- [21] Gävleborg county
- [22] Västernorrland county
- [23] Jämtland county
- [24] Västerbotten county
- [25] Norrbotten county
[Sektor] sector
- [010] Government sector
- [020] Government agencies
- [030] Region
- [040] Municipality
- [050] Local and regional R&D units
- [060] Public non-profit sector
[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
[Forskningsomrade] field of science
- [FORD_T] Total
- [FORD1] Natural sciences
- [FORD2] Engineering and technology
- [FORD3] Medical and health sciences
- [FORD4] Agricultural and veterinary sciences
- [FORD5] Social sciences
- [FORD6] Humanities and the arts
[ContentsCode] observations
- [000004VS] Government sectors internal R&D personnel, number of persons
Search filters
region [Region] (22)
sector [Sektor] (6)
sex [Kon] (3)
occupation [Yrke] (3)
field of science [Forskningsomrade] (7)
observations [ContentsCode] (1)
This dataset has 8,316 series:
- from
- 2007=NA
- to
- 2019=573
- min:
- 573
- max:
- 1,313
- avg:
- 869
- σ:
- 271.897
- from
- 2007=NA
- to
- 2019=1,121
- min:
- 635
- max:
- 1,666
- avg:
- 1,169
- σ:
- 367.999
- from
- 2007=NA
- to
- 2019=8,677
- min:
- 4,007
- max:
- 9,792
- avg:
- 7,218.75
- σ:
- 2,221.229
- from
- 2007=NA
- to
- 2019=88
- min:
- 0
- max:
- 103
- avg:
- 48.75
- σ:
- 47.071
- from
- 2007=NA
- to
- 2019=882
- min:
- 691
- max:
- 2,818
- avg:
- 1,362.75
- σ:
- 850.262
- from
- 2007=NA
- to
- 2019=150
- min:
- 150
- max:
- 311
- avg:
- 209.5
- σ:
- 64.391
- from
- 2007=2,843
- to
- 2019=11,491
- min:
- 2,217
- max:
- 13,380
- avg:
- 8,309.571
- σ:
- 4,196.993
- from
- 2007=NA
- to
- 2019=696
- min:
- 696
- max:
- 1,893
- avg:
- 1,124.75
- σ:
- 456.811
- from
- 2007=NA
- to
- 2019=1,429
- min:
- 919
- max:
- 2,094
- avg:
- 1,491.75
- σ:
- 417.07
- from
- 2007=NA
- to
- 2019=15,091
- min:
- 5,338
- max:
- 15,091
- avg:
- 10,427.75
- σ:
- 3,747.126
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.00.OCCUP_RSE.FORD1.000004VS] | NA | NA | NA | 1313 | 793 | 797 | 573 |
[00.010.00.OCCUP_RSE.FORD2.000004VS] | NA | NA | NA | 635 | 1666 | 1254 | 1121 |
[00.010.00.OCCUP_RSE.FORD3.000004VS] | NA | NA | NA | 4007 | 6399 | 9792 | 8677 |
[00.010.00.OCCUP_RSE.FORD4.000004VS] | NA | NA | NA | 4 | 0 | 103 | 88 |
[00.010.00.OCCUP_RSE.FORD5.000004VS] | NA | NA | NA | 691 | 2818 | 1060 | 882 |
[00.010.00.OCCUP_RSE.FORD6.000004VS] | NA | NA | NA | 219 | 311 | 158 | 150 |
[00.010.00.OCCUP_RSE.FORD_T.000004VS] | 2843 | 2217 | 6435 | 9572 | 12229 | 13380 | 11491 |
[00.010.00.OCCUP_T.FORD1.000004VS] | NA | NA | NA | 1893 | 994 | 916 | 696 |
[00.010.00.OCCUP_T.FORD2.000004VS] | NA | NA | NA | 919 | 2094 | 1525 | 1429 |
[00.010.00.OCCUP_T.FORD3.000004VS] | NA | NA | NA | 5338 | 8589 | 12693 | 15091 |
Showing results 1 - 10 / 8,316