[KomFtgKg] Municipality-owned enterprises by region, sector, observations and year
Updated on DBnomics on April 8, 2022 (1:30 PM).
[Region] region
- [00] Sweden
- [SKL01] metropolitan municipalities (3 municipalities)
- [SKL02] suburban municipalities (38 municipalities)
- [SKL03] large cities (31 municipalities)
- [SKL04] suburban municipalities to large cities (22 municipalities)
- [SKL05] commuter municipalities (51 municipalities)
- [SKL06] tourism and travel industry municipalities (20 municipalities)
- [SKL07] manufacturing municipalities (54 municipalities)
- [SKL08] sparsely populated municipalities (20 municipalities)
- [SKL09] municipalities in densely populated regions (35 municipalities)
- [SKL10] municipalities in sparsely populated regions (16 municipalities)
[Sektor] sector
- [030] business sector
- [340] general government sector
- [samtliga] total
[ContentsCode] observations
- [0000012M] Number of enterprises
- [0000011U] Number of employees
- [0000012P] Turnover, SEK million
- [0000012N] Net profit/loss, SEK million
- [0000012O] Equity capital, SEK million
- [00000141] Total assets, SEK million
Search filters
region [Region] (11)
sector [Sektor] (3)
observations [ContentsCode] (6)
This dataset has 198 series:
- from
- 2015=48,901
- to
- 2020=59,255
- min:
- 48,901
- max:
- 59,255
- avg:
- 52,613.667
- σ:
- 3,363.867
- from
- 2015=1,726
- to
- 2020=1,716
- min:
- 1,698
- max:
- 1,726
- avg:
- 1,713.667
- σ:
- 8.615
- from
- 2015=13,877
- to
- 2020=14,079
- min:
- 12,599
- max:
- 16,263
- avg:
- 13,849.833
- σ:
- 1,189.328
- from
- 2015=219,902
- to
- 2020=272,364
- min:
- 207,977
- max:
- 272,364
- avg:
- 240,605.5
- σ:
- 21,674.656
- from
- 2015=187,282
- to
- 2020=218,222
- min:
- 187,282
- max:
- 227,052
- avg:
- 208,188.667
- σ:
- 14,554.804
- from
- 2015=1,214,213
- to
- 2020=1,598,093
- min:
- 1,214,213
- max:
- 1,598,093
- avg:
- 1,392,443.5
- σ:
- 128,977.681
- from
- 2015=1,834
- to
- 2020=2,894
- min:
- 1,637
- max:
- 2,894
- avg:
- 2,138
- σ:
- 471.053
- from
- 2015=46
- to
- 2020=123
- min:
- 46
- max:
- 123
- avg:
- 100.667
- σ:
- 25.766
- from
- 2015=1,020
- to
- 2020=2,281
- min:
- 1,020
- max:
- 2,829
- avg:
- 1,977
- σ:
- 650.167
- from
- 2015=22,517
- to
- 2020=49,316
- min:
- 22,517
- max:
- 49,316
- avg:
- 37,647
- σ:
- 8,707.537
Series code | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
[00.030.0000011U] | 48901 | 50603 | 50729 | 52112 | 54082 | 59255 |
[00.030.0000012M] | 1726 | 1698 | 1715 | 1709 | 1718 | 1716 |
[00.030.0000012N] | 13877 | 13000 | 16263 | 13281 | 12599 | 14079 |
[00.030.0000012O] | 219902 | 207977 | 248472 | 256433 | 238485 | 272364 |
[00.030.0000012P] | 187282 | 194076 | 202318 | 220182 | 227052 | 218222 |
[00.030.00000141] | 1214213 | 1263275 | 1372442 | 1428245 | 1478393 | 1598093 |
[00.340.0000011U] | 1834 | 1637 | 1868 | 1915 | 2680 | 2894 |
[00.340.0000012M] | 46 | 97 | 108 | 112 | 118 | 123 |
[00.340.0000012N] | 1020 | 1240 | 2485 | 2829 | 2007 | 2281 |
[00.340.0000012O] | 22517 | 33097 | 39341 | 35993 | 45618 | 49316 |
Showing results 1 - 10 / 198