[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=3,125
- to
- 2019=2,107
- min:
- 1,811
- max:
- 3,125
- avg:
- 2,154
- σ:
- 408.908
- from
- 2007=3,825
- to
- 2019=1,926
- min:
- 1,203
- max:
- 3,825
- avg:
- 1,877
- σ:
- 909.876
- from
- 2007=332
- to
- 2019=582
- min:
- 332
- max:
- 783
- avg:
- 570.429
- σ:
- 164.97
- from
- 2007=94
- to
- 2019=815
- min:
- 68
- max:
- 815
- avg:
- 198
- σ:
- 252.462
- from
- 2007=69
- to
- 2019=515
- min:
- 69
- max:
- 515
- avg:
- 276.143
- σ:
- 177.98
- from
- 2007=47
- to
- 2019=36
- min:
- 36
- max:
- 55
- avg:
- 46.714
- σ:
- 5.921
- from
- 2007=6,638
- to
- 2019=12,265
- min:
- 6,638
- max:
- 12,265
- avg:
- 9,640
- σ:
- 1,768.903
- from
- 2007=267
- to
- 2019=423
- min:
- 238
- max:
- 424
- avg:
- 316.286
- σ:
- 72.738
- from
- 2007=807
- to
- 2019=1,188
- min:
- 528
- max:
- 1,188
- avg:
- 835.857
- σ:
- 213.099
- from
- 2007=11
- to
- 2019=48
- min:
- 11
- max:
- 59
- avg:
- 28.571
- σ:
- 17.735
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.010.ERD_REC_BES.000004VG] | 3125 | 2083 | 1811 | 2021 | 1882 | 2049 | 2107 |
[00.010.ERD_REC_EXCH.000004VG] | 3825 | 2457 | 1235 | 1239 | 1254 | 1203 | 1926 |
[00.010.ERD_REC_GOV_CIV.000004VG] | 332 | 463 | 403 | 783 | 656 | 774 | 582 |
[00.010.ERD_REC_GOV_DEF.000004VG] | 94 | 115 | 68 | 87 | 122 | 85 | 815 |
[00.010.ERD_REC_GOV_LAR.000004VG] | 69 | 70 | 89 | 418 | 386 | 386 | 515 |
[00.010.ERD_REC_GOV_RDU.000004VG] | 47 | 42 | 55 | 47 | 53 | 47 | 36 |
[00.010.ERD_REC_HES.000004VG] | 6638 | 8381 | 8562 | 9888 | 10598 | 11148 | 12265 |
[00.010.ERD_REC_PNP.000004VG] | 267 | 331 | 424 | 238 | 258 | 273 | 423 |
[00.010.ERD_REC_RI.000004VG] | 807 | 641 | 528 | 794 | 816 | 1077 | 1188 |
[00.010.ERD_REC_ROW_BES.000004VG] | 11 | 28 | 11 | 12 | 31 | 59 | 48 |
Showing results 1 - 10 / 2,112