[FoUuOffutg] Total expenditure for intramural R&D by region, sector, type of cost, 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
[Typutgift] type of cost
- [IRD_COST_T] Total expenditure for intramural R&D
- [IRD_CUR_T] Current costs - Total
- [IRD_CUR_LC] Current costs - Labour costs for internal R&D personnel
- [IRD_CUR_LC_EXT] Current costs - External R&D personnel
- [IRD_CUR_O] Current costs - Other
- [IRD_CAP_T] Capital costs - total
- [IRD_CAP_LAND] Capital costs - Land and buildings
- [IRD_CAP_MACH] Capital costs - Machinery and equipment
- [IRD_CAP_SOFT] Capital costs - Capitalised computer software
- [IRD_CAP_IPP] Capital costs - Other intellectual property products
[ContentsCode] observations
- [000004TK] Total expenditure for intramural R&D
Search filters
region [Region] (22)
sector [Sektor] (6)
type of cost [Typutgift] (10)
observations [ContentsCode] (1)
This dataset has 1,320 series:
- from
- 2007=NA
- to
- 2019=3
- min:
- 3
- max:
- 3
- avg:
- 3
- σ:
- 0
- from
- 2007=2
- to
- 2019=32
- min:
- 0
- max:
- 32
- avg:
- 11.571
- σ:
- 11.611
- from
- 2007=106
- to
- 2019=91
- min:
- 76
- max:
- 171
- avg:
- 106.286
- σ:
- 28.932
- from
- 2007=NA
- to
- 2019=45
- min:
- 8
- max:
- 73
- avg:
- 45.75
- σ:
- 23.952
- from
- 2007=108
- to
- 2019=171
- min:
- 105
- max:
- 193
- avg:
- 144.571
- σ:
- 33.742
- from
- 2007=6,786
- to
- 2019=7,719
- min:
- 6,211
- max:
- 7,719
- avg:
- 6,844.571
- σ:
- 513.399
- from
- 2007=4,058
- to
- 2019=4,849
- min:
- 3,584
- max:
- 4,849
- avg:
- 4,079.571
- σ:
- 441.204
- from
- 2007=305
- to
- 2019=214
- min:
- 174
- max:
- 511
- avg:
- 278
- σ:
- 103.084
- from
- 2007=2,194
- to
- 2019=2,260
- min:
- 1,838
- max:
- 2,355
- avg:
- 2,161.857
- σ:
- 172.507
- from
- 2007=6,557
- to
- 2019=7,323
- min:
- 5,789
- max:
- 7,323
- avg:
- 6,519.857
- σ:
- 509.988
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.IRD_CAP_IPP.000004TK] | NA | NA | NA | NA | NA | NA | 3 |
[00.010.IRD_CAP_LAND.000004TK] | 2 | 0 | 0 | 14 | 9 | 24 | 32 |
[00.010.IRD_CAP_MACH.000004TK] | 106 | 111 | 105 | 171 | 84 | 76 | 91 |
[00.010.IRD_CAP_SOFT.000004TK] | NA | NA | NA | 8 | 57 | 73 | 45 |
[00.010.IRD_CAP_T.000004TK] | 108 | 111 | 105 | 193 | 150 | 174 | 171 |
[00.010.IRD_COST_T.000004TK] | 6786 | 6592 | 6793 | 6211 | 6357 | 7454 | 7719 |
[00.010.IRD_CUR_LC.000004TK] | 4058 | 3584 | 3955 | 3598 | 3929 | 4584 | 4849 |
[00.010.IRD_CUR_LC_EXT.000004TK] | 305 | 511 | 277 | 220 | 245 | 174 | 214 |
[00.010.IRD_CUR_O.000004TK] | 2194 | 2249 | 2267 | 1970 | 1838 | 2355 | 2260 |
[00.010.IRD_CUR_T.000004TK] | 6557 | 6344 | 6500 | 5789 | 6013 | 7113 | 7323 |
Showing results 1 - 10 / 1,320