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[NV0802T02SNI] Expenditure on rental and leas of computer and telecommunication equipment by type of rental/leas, industrial classification NACE Rev. 2, observations and year

Updated on DBnomics on April 8, 2022 (1:30 PM).

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type of rental/leas [Leasing] (3)
industrial classification NACE Rev. 2 [SNI2007] (14)
observations [ContentsCode] (2)

This dataset has 84 series:

[010.05-09.NV0802AK] finance leas – mines and quarries – Expenditure on rental and leas , sek million

from
2009=NA
to
2017=0
min:
0
max:
0
avg:
0
σ:
0

[010.05-09.NV0802AL] finance leas – mines and quarries – Margin of error ± expenses on rental and leas, sek million

from
2009=NA
to
2017=0
min:
0
max:
0
avg:
0
σ:
0

[010.10-33.NV0802AK] finance leas – manufacturing – Expenditure on rental and leas , sek million

from
2009=206
to
2017=148
min:
86
max:
701
avg:
235.444
σ:
172.125

[010.10-33.NV0802AL] finance leas – manufacturing – Margin of error ± expenses on rental and leas, sek million

from
2009=44
to
2017=63
min:
27
max:
381
avg:
96.667
σ:
102.145

[010.35-39.NV0802AK] finance leas – energy and recycling – Expenditure on rental and leas , sek million

from
2009=57
to
2017=13
min:
3
max:
57
avg:
20
σ:
16.078

[010.35-39.NV0802AL] finance leas – energy and recycling – Margin of error ± expenses on rental and leas, sek million

from
2009=4
to
2017=4
min:
1
max:
22
avg:
8
σ:
6.874

[010.41-43.NV0802AK] finance leas – construction – Expenditure on rental and leas , sek million

from
2009=15
to
2017=48
min:
15
max:
82
avg:
49.111
σ:
19.858

[010.41-43.NV0802AL] finance leas – construction – Margin of error ± expenses on rental and leas, sek million

from
2009=13
to
2017=22
min:
9
max:
49
avg:
26.889
σ:
13.674

[010.45-47.NV0802AK] finance leas – wholesale and retail trade; repair of motor vehicles and motorcycles – Expenditure on rental and leas , sek million

from
2009=301
to
2017=101
min:
101
max:
301
avg:
176.444
σ:
55.847

[010.45-47.NV0802AL] finance leas – wholesale and retail trade; repair of motor vehicles and motorcycles – Margin of error ± expenses on rental and leas, sek million

from
2009=89
to
2017=37
min:
37
max:
89
avg:
58.889
σ:
17.451