[FoULoKMottagN] Total expenditure for extramural R&D assignments/support in county councils and municipalities, SEK millions by region, County councils, municipalities and R&D units, receiving units, 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
[LoKEnheter] County councils, municipalities and R&D units
- [01] Municipalities
- [02] County councils
- [03] Local and regional R&D units
[MottagEnhet] receiving units
- [04] Universities and higher education institutions in Sweden
- [051] Defence agencies
- [053] Civil government agencies
- [0005] County councils and municipalities
- [0006] Local and regional R&D units
- [01] Enterprises in Sweden
- [02] Trade associations
- [06] Other private institutions including researchers
- [0008] Enterprises abroad
- [0009] Universities and higher education institutions abroad
- [07] International organisations excl. EU
- [08] Government entities abroad
- [0012] Other private entities abroad
[ContentsCode] observations
- [000002JM] R&D support
- [000002JL] R&D assignments
Search filters
region [Region] (22)
County councils, municipalities and R&D units [LoKEnheter] (3)
receiving units [MottagEnhet] (13)
observations [ContentsCode] (2)
This dataset has 1,716 series:
[00.01.0005.000002JL] Sweden – Municipalities – County councils and municipalities – R&D assignments
- from
- 2007=3
- to
- 2017=6
- min:
- 3
- max:
- 8
- avg:
- 5.333
- σ:
- 1.886
- from
- 2007=1
- to
- 2017=4
- min:
- 1
- max:
- 6
- avg:
- 3.333
- σ:
- 1.795
- from
- 2007=5
- to
- 2017=9
- min:
- 5
- max:
- 11
- avg:
- 8.5
- σ:
- 1.893
- from
- 2007=7
- to
- 2017=18
- min:
- 7
- max:
- 20
- avg:
- 12.667
- σ:
- 4.888
- from
- 2007=NA
- to
- 2017=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=NA
- to
- 2017=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=NA
- to
- 2017=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=1
- to
- 2017=0
- min:
- 0
- max:
- 1
- avg:
- 0.2
- σ:
- 0.4
- from
- 2007=NA
- to
- 2017=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2007=1
- to
- 2017=0
- min:
- 0
- max:
- 1
- avg:
- 0.4
- σ:
- 0.49
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 |
---|---|---|---|---|---|---|
[00.01.0005.000002JL] | 3 | 3 | 8 | 7 | 5 | 6 |
[00.01.0005.000002JM] | 1 | 1 | 6 | 4 | 4 | 4 |
[00.01.0006.000002JL] | 5 | 8 | 11 | 8 | 10 | 9 |
[00.01.0006.000002JM] | 7 | 8 | 10 | 13 | 20 | 18 |
[00.01.0008.000002JL] | NA | 0 | 0 | 0 | NA | 0 |
[00.01.0008.000002JM] | NA | 0 | 0 | 0 | 0 | 0 |
[00.01.0009.000002JL] | NA | 0 | 0 | 0 | 0 | 0 |
[00.01.0009.000002JM] | 1 | 0 | 0 | 0 | NA | 0 |
[00.01.0012.000002JL] | NA | 0 | 0 | 0 | NA | 0 |
[00.01.0012.000002JM] | 1 | 1 | 0 | 0 | NA | 0 |
Showing results 1 - 10 / 1,716