[BasfaktaRegion] Basic Data by kind-of-activity unit by region, industrial classification SE-SIC92, observations and year
Updated on DBnomics on April 6, 2022 (11:25 AM).
[Region] region
- [00] Sweden
- [01] Stockholm county
- [03] Uppsala county
- [04] Södermanlands county
- [05] Östergötlands county
- [06] Jönköpings county
- [07] Kronobergs county
- [08] Kalmar county
- [09] Gotland county
- [10] Blekinge county
- [12] Skåne county
- [13] Hallands county
- [14] Västra Götalands county
- [17] Värmlands county
- [18] Örebro county
- [19] Västmanlands county
- [20] Dalarna county
- [21] Gävleborgs county
- [22] Västernorrlands county
- [23] Jämtlands county
- [24] Västerbottens county
- [25] Norrbottens county
[SNI92] industrial classification SE-SIC92
- [10-14] Mines and quarries
- [15+16] Food product, beverage and tobacco industry
- [17-19] Textile industry, industry for wearing and Tanneries
- [20] Industry for wood and products of wood, cork, cane etc. , except furniture
- [21] Industry for pulp, paper and paper products
- [22] Publishers and printers; other industry for recorded media
- [23+24] Industry for coke, refined petroleum products and nuclear fuel and Industry for chemicals
- [25] Industry for rubber and plastic products
- [26] Industry for other non-metallic mineral products
- [27+28] Industry for basic metals and Industry for fabricated metal products, except machinery and equipme
- [29] Industry for machinery and equipment n.e.c.
- [30-33] Industry for electrical machinery and apparatus n.e.c. and optical instruments
- [34+35] Industry for transport equipment
- [36+37] Other manufacturing industry n.e.c.
[ContentsCode] observations
- [NV0109L1] Number of industrial working sites
- [NV0109L2] Number of employees
- [NV0109L3] Salary costs, SEK Millions
- [NV0109L4] Gross investments, SEK Millions
- [NV0109L5] Net invetstments, SEK Millions
Search filters
region [Region] (22)
industrial classification SE-SIC92 [SNI92] (14)
observations [ContentsCode] (5)
This dataset has 1,540 series:
- from
- 1997=848
- to
- 2002=764
- min:
- 706
- max:
- 848
- avg:
- 768.167
- σ:
- 47.537
- from
- 1997=8,390
- to
- 2002=7,083
- min:
- 6,710
- max:
- 8,390
- avg:
- 7,464.833
- σ:
- 669.98
- from
- 1997=2,049
- to
- 2002=2,126
- min:
- 1,947
- max:
- 2,149
- avg:
- 2,049
- σ:
- 69.697
- from
- 1997=2,564
- to
- 2002=1,671
- min:
- 1,671
- max:
- 4,107
- avg:
- 2,424.833
- σ:
- 803.64
- from
- 1997=2,048
- to
- 2002=1,341
- min:
- 1,341
- max:
- 3,929
- avg:
- 2,107.667
- σ:
- 845.618
- from
- 1997=3,446
- to
- 2002=3,476
- min:
- 3,416
- max:
- 3,478
- avg:
- 3,454
- σ:
- 21.479
- from
- 1997=62,436
- to
- 2002=60,737
- min:
- 60,591
- max:
- 63,226
- avg:
- 61,727.333
- σ:
- 1,000.757
- from
- 1997=13,611
- to
- 2002=15,766
- min:
- 13,611
- max:
- 15,766
- avg:
- 14,747.5
- σ:
- 733.15
- from
- 1997=4,932
- to
- 2002=6,600
- min:
- 4,932
- max:
- 6,789
- avg:
- 6,111.333
- σ:
- 717.518
- from
- 1997=3,910
- to
- 2002=4,657
- min:
- 3,910
- max:
- 5,649
- avg:
- 4,756.833
- σ:
- 662.533
Series code | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 |
---|---|---|---|---|---|---|
[00.10-14.NV0109L1] | 848 | 801 | 769 | 706 | 721 | 764 |
[00.10-14.NV0109L2] | 8390 | 8257 | 7578 | 6710 | 6771 | 7083 |
[00.10-14.NV0109L3] | 2049 | 2149 | 2011 | 1947 | 2012 | 2126 |
[00.10-14.NV0109L4] | 2564 | 2217 | 1845 | 4107 | 2145 | 1671 |
[00.10-14.NV0109L5] | 2048 | 1948 | 1629 | 3929 | 1751 | 1341 |
[00.15+16.NV0109L1] | 3446 | 3444 | 3416 | 3464 | 3478 | 3476 |
[00.15+16.NV0109L2] | 62436 | 63226 | 62389 | 60591 | 60985 | 60737 |
[00.15+16.NV0109L3] | 13611 | 14206 | 14415 | 15232 | 15255 | 15766 |
[00.15+16.NV0109L4] | 4932 | 5300 | 6789 | 6556 | 6491 | 6600 |
[00.15+16.NV0109L5] | 3910 | 3956 | 4957 | 5412 | 5649 | 4657 |
Showing results 1 - 10 / 1,540