[FoUuMotoff] Government sectors expenditure for extramural R&D by region, sector, 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
[Sektor] sector
- [010] Government sector
- [020] Government agencies
- [030] Region
- [040] Municipality
- [050] Local and regional R&D units
- [060] Public non-profit sector
[MottagEnhet] receiving units
- [ERD_REC_T] Total
- [ERD_REC_EXCH] Exchange funds
- [ERD_REC_TRF] Transfer funds
- [ERD_REC_BES] Sweden - Enterprises
- [ERD_REC_RI] Sweden - Research institutes
- [ERD_REC_GOV_DEF] Sweden - Defence agencies
- [ERD_REC_GOV_CIV] Sweden - Government agencies excl. Defence agencies
- [ERD_REC_GOV_LAR] Sweden - Regions and municipalities
- [ERD_REC_GOV_RDU] Sweden - Local and regional R&D units
- [ERD_REC_HES] Sweden - Universities and higher education institutions
- [ERD_REC_PNP] Sweden - Private non-profit organisations
- [ERD_REC_ROW_BES] Abroad - Enterprises
- [ERD_REC_ROW_HES] Abroad - Universities and higher education institutions
- [ERD_REC_ROW_GOV] Abroad - Government agencies
- [ERD_REC_ROW_IO] Abroad - International organisations
- [ERD_REC_ROW_PNP] Abroad - Private non-profit organisations
[ContentsCode] observations
- [000004VG] Government sectors expenditure for extramural R&D
Search filters
region [Region] (22)
sector [Sektor] (6)
receiving units [MottagEnhet] (16)
observations [ContentsCode] (1)
This dataset has 2,112 series:
- from
- 2007=4
- to
- 2019=42
- min:
- 4
- max:
- 135
- avg:
- 81.143
- σ:
- 47.831
- from
- 2007=294
- to
- 2019=280
- min:
- 121
- max:
- 825
- avg:
- 321.286
- σ:
- 221.043
- from
- 2007=996
- to
- 2019=2,577
- min:
- 996
- max:
- 2,577
- avg:
- 1,866
- σ:
- 514.318
- from
- 2007=175
- to
- 2019=6
- min:
- 5
- max:
- 237
- avg:
- 90.429
- σ:
- 96.062
- from
- 2007=12,863
- to
- 2019=20,884
- min:
- 12,863
- max:
- 20,884
- avg:
- 16,425.429
- σ:
- 2,604.082
- from
- 2007=9,038
- to
- 2019=18,958
- min:
- 9,038
- max:
- 18,958
- avg:
- 14,548.429
- σ:
- 3,197.298
- from
- 2007=3,111
- to
- 2019=2,039
- min:
- 1,770
- max:
- 3,111
- avg:
- 2,097.143
- σ:
- 423.073
- from
- 2007=3,634
- to
- 2019=1,453
- min:
- 858
- max:
- 3,634
- avg:
- 1,571.429
- σ:
- 946.731
- from
- 2007=307
- to
- 2019=545
- min:
- 307
- max:
- 777
- avg:
- 546.429
- σ:
- 172.391
- from
- 2007=94
- to
- 2019=815
- min:
- 68
- max:
- 815
- avg:
- 198
- σ:
- 252.462
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.ERD_REC_ROW_GOV.000004VG] | 4 | 88 | 45 | 121 | 135 | 133 | 42 |
[00.010.ERD_REC_ROW_HES.000004VG] | 294 | 372 | 825 | 213 | 144 | 121 | 280 |
[00.010.ERD_REC_ROW_IO.000004VG] | 996 | 1393 | 1724 | 2022 | 1920 | 2430 | 2577 |
[00.010.ERD_REC_ROW_PNP.000004VG] | 175 | 5 | 5 | 186 | 237 | 19 | 6 |
[00.010.ERD_REC_T.000004VG] | 12863 | 14012 | 14550 | 16830 | 17238 | 18601 | 20884 |
[00.010.ERD_REC_TRF.000004VG] | 9038 | 11555 | 13315 | 15591 | 15984 | 17398 | 18958 |
[00.020.ERD_REC_BES.000004VG] | 3111 | 1998 | 1770 | 1957 | 1834 | 1971 | 2039 |
[00.020.ERD_REC_EXCH.000004VG] | 3634 | 2179 | 858 | 988 | 948 | 940 | 1453 |
[00.020.ERD_REC_GOV_CIV.000004VG] | 307 | 430 | 371 | 777 | 636 | 759 | 545 |
[00.020.ERD_REC_GOV_DEF.000004VG] | 94 | 115 | 68 | 87 | 122 | 85 | 815 |
Showing results 11 - 20 / 2,112