[FoUuOffNabs] Government sectors expenditure for intramural R&D by region, sector, socio-economic objectives, 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
[SocioEkonAndamal] socio-economic objectives
- [NABS_T] All socio-economic objectives
- [NABS01] Exploration and exploitation of the earth
- [NABS02] Environment
- [NABS03] Exploration and exploitation of space
- [NABS04] Transport, telecommunication and other infrastructures
- [NABS05] Energy
- [NABS06] Industrial production and technology
- [NABS07] Health
- [NABS08] Agriculture
- [NABS09] Education
- [NABS10] Culture, recreation, religion and mass media
- [NABS11] Political and social systems, structures and processes
- [NABS13] General advancement of knowledge: R&D financed from other sources than GUF
- [NABS131] - R&D related to Natural Sciences - financed from other sources than GUF
- [NABS132] - R&D related to Engineering Sciences - financed from other sources than GUF
- [NABS133] - R&D related to Medical Sciences - financed from other sources than GUF
- [NABS134] - R&D related to Agricultural Sciences - financed from other sources than GUF
- [NABS135] - R&D related to Social Sciences - financed from other sources than GUF
- [NABS136] - R&D related to Humanities - financed from other sources than GUF
- [NABS14] Defence
[ContentsCode] observations
- [000004U9] Government sectors expenditure for intramural R&D
Search filters
region [Region] (22)
sector [Sektor] (6)
socio-economic objectives [SocioEkonAndamal] (20)
observations [ContentsCode] (1)
This dataset has 2,640 series:
- from
- 2007=53
- to
- 2019=118
- min:
- 53
- max:
- 189
- avg:
- 129.143
- σ:
- 40.247
- from
- 2007=55
- to
- 2019=216
- min:
- 24
- max:
- 216
- avg:
- 74.143
- σ:
- 59.554
- from
- 2007=0
- to
- 2019=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=353
- to
- 2019=208
- min:
- 187
- max:
- 495
- avg:
- 282
- σ:
- 104.848
- from
- 2007=7
- to
- 2019=41
- min:
- 7
- max:
- 41
- avg:
- 25.714
- σ:
- 11.548
- from
- 2007=165
- to
- 2019=392
- min:
- 165
- max:
- 392
- avg:
- 315.714
- σ:
- 66.129
- from
- 2007=3,491
- to
- 2019=4,510
- min:
- 3,491
- max:
- 4,510
- avg:
- 3,909
- σ:
- 392.693
- from
- 2007=44
- to
- 2019=102
- min:
- 44
- max:
- 103
- avg:
- 69.571
- σ:
- 22.366
- from
- 2007=99
- to
- 2019=80
- min:
- 31
- max:
- 99
- avg:
- 61.143
- σ:
- 26.368
- from
- 2007=41
- to
- 2019=55
- min:
- 31
- max:
- 84
- avg:
- 55
- σ:
- 15.784
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.NABS01.000004U9] | 53 | 128 | 114 | 133 | 169 | 189 | 118 |
[00.010.NABS02.000004U9] | 55 | 24 | 46 | 50 | 53 | 75 | 216 |
[00.010.NABS03.000004U9] | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[00.010.NABS04.000004U9] | 353 | 495 | 315 | 208 | 187 | 208 | 208 |
[00.010.NABS05.000004U9] | 7 | 10 | 29 | 31 | 33 | 29 | 41 |
[00.010.NABS06.000004U9] | 165 | 304 | 333 | 335 | 336 | 345 | 392 |
[00.010.NABS07.000004U9] | 3491 | 3719 | 3945 | 3559 | 3662 | 4477 | 4510 |
[00.010.NABS08.000004U9] | 44 | 103 | 57 | 60 | 49 | 72 | 102 |
[00.010.NABS09.000004U9] | 99 | 40 | 31 | 45 | 40 | 93 | 80 |
[00.010.NABS10.000004U9] | 41 | 52 | 31 | 84 | 66 | 56 | 55 |
Showing results 1 - 10 / 2,640