[FoUuNabsoff] Government sectors expenditure for extramural 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
- [000004VK] Government sectors expenditure for extramural 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=80
- to
- 2019=812
- min:
- 80
- max:
- 812
- avg:
- 301
- σ:
- 224.586
- from
- 2007=513
- to
- 2019=1,134
- min:
- 513
- max:
- 1,134
- avg:
- 744.286
- σ:
- 177.141
- from
- 2007=206
- to
- 2019=396
- min:
- 206
- max:
- 396
- avg:
- 294.571
- σ:
- 62.188
- from
- 2007=1,274
- to
- 2019=1,951
- min:
- 1,274
- max:
- 1,951
- avg:
- 1,607.286
- σ:
- 214.039
- from
- 2007=830
- to
- 2019=1,228
- min:
- 830
- max:
- 1,420
- avg:
- 1,252.143
- σ:
- 186.647
- from
- 2007=1,391
- to
- 2019=1,362
- min:
- 979
- max:
- 1,759
- avg:
- 1,368.571
- σ:
- 271.189
- from
- 2007=429
- to
- 2019=1,556
- min:
- 429
- max:
- 1,556
- avg:
- 1,075.286
- σ:
- 366.598
- from
- 2007=296
- to
- 2019=955
- min:
- 296
- max:
- 955
- avg:
- 504.286
- σ:
- 196.873
- from
- 2007=126
- to
- 2019=296
- min:
- 68
- max:
- 296
- avg:
- 160.857
- σ:
- 80.152
- from
- 2007=41
- to
- 2019=41
- min:
- 32
- max:
- 55
- avg:
- 43.571
- σ:
- 7.725
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.NABS01.000004VK] | 80 | 176 | 154 | 233 | 327 | 325 | 812 |
[00.010.NABS02.000004VK] | 513 | 763 | 702 | 709 | 640 | 749 | 1134 |
[00.010.NABS03.000004VK] | 206 | 246 | 254 | 277 | 331 | 352 | 396 |
[00.010.NABS04.000004VK] | 1274 | 1469 | 1431 | 1702 | 1640 | 1784 | 1951 |
[00.010.NABS05.000004VK] | 830 | 1390 | 1238 | 1420 | 1276 | 1383 | 1228 |
[00.010.NABS06.000004VK] | 1391 | 979 | 1050 | 1759 | 1342 | 1697 | 1362 |
[00.010.NABS07.000004VK] | 429 | 762 | 950 | 1117 | 1261 | 1452 | 1556 |
[00.010.NABS08.000004VK] | 296 | 430 | 390 | 430 | 499 | 530 | 955 |
[00.010.NABS09.000004VK] | 126 | 75 | 68 | 119 | 205 | 237 | 296 |
[00.010.NABS10.000004VK] | 41 | 55 | 32 | 44 | 38 | 54 | 41 |
Showing results 1 - 10 / 2,640