[NV0802T02T] Expenses (excl. leasing) on IT by type of rental/leas, study domain, observations and year
Updated on DBnomics on April 8, 2022 (1:30 PM).
[Leasing] type of rental/leas
- [SA] total
- [010] finance leas
- [020] rental/operating leas
[Redovisningsgrupp] study domain
- [1] 10 or more employees in total
- [5] 05-33, 35-39, 41-43, 45-47, 49-53, 55-56, 58-63, 64-66, 68-82, 90-93, 95.1 Total
- [10] 10-49 employees
- [50] 50-249 employees
- [250] 250 or more employees
- [05-09] 05-09 mining and quarring
- [10-33] 10-33 manufacturing
- [35-39] 35-39 energy and recycling
- [41-43] 41-43 construction
- [45-47] 45-47 wholesale and retail trade; repair of motor vehicles and motorcycles
- [49-53] 49-53 transportation and storage
- [55-56] 55-56 accommodation and food service activities
- [58-63] 58-63 information and communication
- [62] 62 computer programming, consultancy and related activities
- [64-66] 64-66 financial and insurance activities
- [68] 68 real estate activities
- [69-82] 69-82 other business activities
- [90-93] 90-93 arts, entertainment and recreation
- [95.1] 95.1 repair of computers and communication equipment
- [26-95] 26.1-26.4, 26.8, 46.5, 58.2, 61-62, 63.1, 95.1 ICT sector
- [2050] Sweden
- [2100] Stockholm
- [2200] Östra Mellansverige
- [2300] Småland med öarna
- [2400] Sydsverige
- [2500] Västsverige
- [2600] Norra Mellansverige
- [2700] Mellersta Norrland
- [2800] Övre Norrland
[ContentsCode] observations
- [000003PO] Expenditures, sek million
- [000003PP] Margin of error +/-, sek million
Search filters
type of rental/leas [Leasing] (3)
study domain [Redovisningsgrupp] (29)
observations [ContentsCode] (2)
This dataset has 174 series:
- from
- 2018=NA
- to
- 2020=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2018=NA
- to
- 2020=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2018=510
- to
- 2020=483
- min:
- 483
- max:
- 532
- avg:
- 508.333
- σ:
- 20.039
- from
- 2018=102
- to
- 2020=138
- min:
- 91
- max:
- 138
- avg:
- 110.333
- σ:
- 20.072
- from
- 2018=72
- to
- 2020=67
- min:
- 67
- max:
- 88
- avg:
- 75.667
- σ:
- 8.957
- from
- 2018=29
- to
- 2020=28
- min:
- 28
- max:
- 43
- avg:
- 33.333
- σ:
- 6.848
- from
- 2018=123
- to
- 2020=198
- min:
- 123
- max:
- 198
- avg:
- 154
- σ:
- 31.969
- from
- 2018=82
- to
- 2020=127
- min:
- 73
- max:
- 127
- avg:
- 94
- σ:
- 23.622
- from
- 2018=510
- to
- 2020=483
- min:
- 483
- max:
- 532
- avg:
- 508.333
- σ:
- 20.039
- from
- 2018=102
- to
- 2020=138
- min:
- 91
- max:
- 138
- avg:
- 110.333
- σ:
- 20.072
Series code | 2018 | 2019 | 2020 |
---|---|---|---|
[010.05-09.000003PO] | NA | 0 | NA |
[010.05-09.000003PP] | NA | 0 | NA |
[010.1.000003PO] | 510 | 532 | 483 |
[010.1.000003PP] | 102 | 91 | 138 |
[010.10-33.000003PO] | 72 | 88 | 67 |
[010.10-33.000003PP] | 29 | 43 | 28 |
[010.10.000003PO] | 123 | 141 | 198 |
[010.10.000003PP] | 82 | 73 | 127 |
[010.2050.000003PO] | 510 | 532 | 483 |
[010.2050.000003PP] | 102 | 91 | 138 |
Showing results 1 - 10 / 174