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[BDAnnatForetag] Analysis of big data by study domain, observations and year

Updated on DBnomics on April 6, 2022 (11:25 AM).

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study domain [Redovisningsgrupp] (24)
observations [ContentsCode] (2)

This dataset has 48 series:

[10-33.000004O7] Manufacturing (SNI 10-33) – Share, percent

from
2019=9
to
2019=9
min:
9
max:
9
avg:
9
σ:
0

[10-33.000004O8] Manufacturing (SNI 10-33) – Margin of error, ±

from
2019=2
to
2019=2
min:
2
max:
2
avg:
2
σ:
0

[10-49.000004O7] 10-49 employees – Share, percent

from
2019=8
to
2019=8
min:
8
max:
8
avg:
8
σ:
0

[10-49.000004O8] 10-49 employees – Margin of error, ±

from
2019=1
to
2019=1
min:
1
max:
1
avg:
1
σ:
0

[250-.000004O7] 250 or more employees – Share, percent

from
2019=19
to
2019=19
min:
19
max:
19
avg:
19
σ:
0

[250-.000004O8] 250 or more employees – Margin of error, ±

from
2019=1
to
2019=1
min:
1
max:
1
avg:
1
σ:
0

[35-39.000004O7] Energy and recycling (SNI 35-39) – Share, percent

from
2019=13
to
2019=13
min:
13
max:
13
avg:
13
σ:
0

[35-39.000004O8] Energy and recycling (SNI 35-39) – Margin of error, ±

from
2019=4
to
2019=4
min:
4
max:
4
avg:
4
σ:
0

[41-43.000004O7] Construction (SNI 41-43) – Share, percent

from
2019=5
to
2019=5
min:
5
max:
5
avg:
5
σ:
0

[41-43.000004O8] Construction (SNI 41-43) – Margin of error, ±

from
2019=3
to
2019=3
min:
3
max:
3
avg:
3
σ:
0