[FoULoKFinansN] Total R&D expenditure in county councils and municipalities, SEK millions by region, County councils, municipalities and R&D units, funding source, observations and every other year
Updated on DBnomics on February 22, 2023 (11:00 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
[LoKEnheter] County councils, municipalities and R&D units
- [01] Municipalities
- [02] County councils
- [03] Local and regional R&D units
[Finansiering] funding source
- [002] Government appropriations excl. ALF-funds
- [5000] ALF-funds (Agreement on medical training and research)
- [001] Self-financing
- [0053] Defence agencies
- [0054] Civil government agencies
- [0052] County councils and municipalities
- [010] Universities and higher education institutions in Sweden
- [006] Enterprises in Sweden
- [008] Trade associations
- [0111] Private non-profit organisations in Sweden
- [007] Public research foundations
- [0012] Government entities abroad
- [0131] Enterprises abroad
- [0112] Private non-profit ogranisations abroad
- [0121] EU framework program for R&D
- [0122] EU excl. Framework program and ERC (European Research Council)
- [0016] International organisations excl. EU
[ContentsCode] observations
- [000002JF] Intramural R&D
- [000002JG] Extramural R&D
Search filters
region [Region] (22)
County councils, municipalities and R&D units [LoKEnheter] (3)
funding source [Finansiering] (17)
observations [ContentsCode] (2)
This dataset has 2,244 series:
- from
- 2007=57
- to
- 2017=159
- min:
- 54
- max:
- 159
- avg:
- 82
- σ:
- 35.67
- from
- 2007=47
- to
- 2017=126
- min:
- 47
- max:
- 152
- avg:
- 104.667
- σ:
- 36.477
only NA values
- from
- 2007=0
- to
- 2017=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=NA
- to
- 2017=NA
- min:
- 2
- max:
- 2
- avg:
- 2
- σ:
- 0
- from
- 2007=0
- to
- 2017=NA
- min:
- 0
- max:
- 1
- avg:
- 0.25
- σ:
- 0.433
- from
- 2007=6
- to
- 2017=1
- min:
- 1
- max:
- 9
- avg:
- 4.667
- σ:
- 2.981
- from
- 2007=1
- to
- 2017=11
- min:
- 1
- max:
- 11
- avg:
- 4.5
- σ:
- 3.686
- from
- 2007=4
- to
- 2017=27
- min:
- 1
- max:
- 27
- avg:
- 12.333
- σ:
- 9.357
- from
- 2007=9
- to
- 2017=8
- min:
- 8
- max:
- 20
- avg:
- 12.833
- σ:
- 4.67
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 |
---|---|---|---|---|---|---|
[00.01.001.000002JF] | 57 | 66 | 54 | 80 | 76 | 159 |
[00.01.001.000002JG] | 47 | 77 | 90 | 136 | 152 | 126 |
[00.01.0012.000002JF] | NA | NA | NA | NA | NA | NA |
[00.01.0012.000002JG] | 0 | 0 | 0 | NA | NA | NA |
[00.01.0016.000002JF] | NA | NA | NA | 2 | NA | NA |
[00.01.0016.000002JG] | 0 | 0 | 0 | 1 | NA | NA |
[00.01.002.000002JF] | 6 | 7 | 1 | 9 | 4 | 1 |
[00.01.002.000002JG] | 1 | 2 | 8 | 2 | 3 | 11 |
[00.01.0052.000002JF] | 4 | 1 | 8 | 22 | 12 | 27 |
[00.01.0052.000002JG] | 9 | 18 | 9 | 20 | 13 | 8 |
Showing results 1 - 10 / 2,244