[FoUpSvreg] Total expenditure on intramural R&D by region, sector, occupation, 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
- [T] All sectors
- [BES] Business enterprise sector
- [GOV] Government sector
- [GOV_AGY] Government sector - government agencies
- [GOV_REG] Government sector - regions
- [GOV_MUN] Government sector - municipalities
- [HES] Higher education sector
- [PNP] Private non-profit sector
[Yrke] occupation
- [OCCUP_T] All occupations
- [OCCUP_RSE] Researchers, product developers or equivalent
- [OCCUP_TXRSE] Supporting staff
[ContentsCode] observations
- [0000051X] Head count
- [0000051Y] Full time equivalents
Search filters
region [Region] (22)
sector [Sektor] (8)
occupation [Yrke] (3)
observations [ContentsCode] (2)
This dataset has 1,056 series:
- from
- 2007=33,121
- to
- 2019=63,505
- min:
- 32,630
- max:
- 63,505
- avg:
- 46,272
- σ:
- 12,338.248
- from
- 2007=28,965
- to
- 2019=55,498
- min:
- 28,965
- max:
- 55,498
- avg:
- 40,464.286
- σ:
- 10,435.741
- from
- 2007=62,759
- to
- 2019=75,944
- min:
- 61,745
- max:
- 75,944
- avg:
- 67,735
- σ:
- 5,601.831
- from
- 2007=54,439
- to
- 2019=64,641
- min:
- 54,439
- max:
- 64,641
- avg:
- 58,214.143
- σ:
- 3,910.839
- from
- 2007=29,638
- to
- 2019=12,439
- min:
- 12,439
- max:
- 30,093
- avg:
- 21,463
- σ:
- 7,184.338
- from
- 2007=25,474
- to
- 2019=9,143
- min:
- 9,143
- max:
- 26,373
- avg:
- 17,749.571
- σ:
- 7,056.292
- from
- 2007=2,843
- to
- 2019=11,491
- min:
- 2,217
- max:
- 13,380
- avg:
- 8,309.571
- σ:
- 4,196.993
- from
- 2007=1,941
- to
- 2019=3,914
- min:
- 1,482
- max:
- 3,914
- avg:
- 2,716.143
- σ:
- 885.523
- from
- 2007=5,360
- to
- 2019=18,759
- min:
- 4,741
- max:
- 18,759
- avg:
- 11,988
- σ:
- 5,319.157
- from
- 2007=3,255
- to
- 2019=5,344
- min:
- 2,603
- max:
- 5,344
- avg:
- 3,864
- σ:
- 916.322
Series code | 2007 | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 |
---|---|---|---|---|---|---|---|
[00.BES.OCCUP_RSE.0000051X] | 33121 | 33152 | 32630 | 48961 | 52368 | 60167 | 63505 |
[00.BES.OCCUP_RSE.0000051Y] | 28965 | 29426 | 29310 | 43141 | 45067 | 51843 | 55498 |
[00.BES.OCCUP_T.0000051X] | 62759 | 63245 | 61745 | 65688 | 68911 | 75853 | 75944 |
[00.BES.OCCUP_T.0000051Y] | 54439 | 55799 | 54788 | 56412 | 57691 | 63729 | 64641 |
[00.BES.OCCUP_TXRSE.0000051X] | 29638 | 30093 | 29115 | 16727 | 16543 | 15686 | 12439 |
[00.BES.OCCUP_TXRSE.0000051Y] | 25474 | 26373 | 25477 | 13271 | 12624 | 11885 | 9143 |
[00.GOV.OCCUP_RSE.0000051X] | 2843 | 2217 | 6435 | 9572 | 12229 | 13380 | 11491 |
[00.GOV.OCCUP_RSE.0000051Y] | 1941 | 1482 | 2137 | 2431 | 3320 | 3788 | 3914 |
[00.GOV.OCCUP_T.0000051X] | 5360 | 4741 | 9123 | 12398 | 15847 | 17688 | 18759 |
[00.GOV.OCCUP_T.0000051Y] | 3255 | 2603 | 3440 | 3276 | 4235 | 4895 | 5344 |
Showing results 1 - 10 / 1,056