DBnomics, the world's economic database

[KSjuSNI2007] Number of sick days and sick periods per employee by industrial classification NACE Rev. 2, sex, observations and quarter

Updated on DBnomics on February 22, 2023 (11:00 AM).

Documentation
Search filters
industrial classification NACE Rev. 2 [SNI2007] (3)
sex [Kon] (3)
observations [ContentsCode] (2)

This dataset has 18 series:

[A-F.1+2.AM0209A1] production industries, etc. – total – Sick days

from
2009-Q1=1.55
to
2021-Q4=2.17
min:
0.91
max:
2.27
avg:
1.475
σ:
0.344

[A-F.1+2.AM0209A2] production industries, etc. – total – Sick periods

from
2009-Q1=0.36
to
2021-Q4=0.47
min:
0.21
max:
0.49
avg:
0.344
σ:
0.074

[A-F.1.AM0209A1] production industries, etc. – men – Sick days

from
2009-Q1=1.48
to
2021-Q4=2.14
min:
0.85
max:
2.32
avg:
1.433
σ:
0.362

[A-F.1.AM0209A2] production industries, etc. – men – Sick periods

from
2009-Q1=0.34
to
2021-Q4=0.47
min:
0.19
max:
0.48
avg:
0.334
σ:
0.077

[A-F.2.AM0209A1] production industries, etc. – women – Sick days

from
2009-Q1=1.84
to
2021-Q4=2.29
min:
1.15
max:
2.54
avg:
1.647
σ:
0.307

[A-F.2.AM0209A2] production industries, etc. – women – Sick periods

from
2009-Q1=0.41
to
2021-Q4=0.5
min:
0.26
max:
0.55
avg:
0.381
σ:
0.067

[A-S.1+2.AM0209A1] total, business sector – total – Sick days

from
2009-Q1=1.44
to
2021-Q4=2.25
min:
0.93
max:
2.38
avg:
1.486
σ:
0.361

[A-S.1+2.AM0209A2] total, business sector – total – Sick periods

from
2009-Q1=0.35
to
2021-Q4=0.54
min:
0.22
max:
0.54
avg:
0.363
σ:
0.08

[A-S.1.AM0209A1] total, business sector – men – Sick days

from
2009-Q1=1.17
to
2021-Q4=1.88
min:
0.75
max:
1.91
avg:
1.224
σ:
0.304

[A-S.1.AM0209A2] total, business sector – men – Sick periods

from
2009-Q1=0.28
to
2021-Q4=0.45
min:
0.17
max:
0.45
avg:
0.302
σ:
0.068