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[SjukloneperiodSektor] Number of sickperiods and sickdays per employee by sex, sector, observations and quarter

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

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sex [Kon] (3)
sector [Sektor] (6)
observations [ContentsCode] (2)

This dataset has 36 series:

[1.410.000000DV] men – municipality – sickdays

min:
1.24
max:
3.11
avg:
1.884
σ:
0.526

[1.410.000000E0] men – municipality – sickperiods

min:
0.31
max:
0.71
avg:
0.469
σ:
0.103

[1.420.000000DV] men – region – sickdays

min:
1.04
max:
2.42
avg:
1.476
σ:
0.405

[1.420.000000E0] men – region – sickperiods

min:
0.27
max:
0.57
avg:
0.377
σ:
0.083

[2.010.000000DV] women – all sectors – sickdays

min:
1.43
max:
2.88
avg:
1.955
σ:
0.418

[2.010.000000E0] women – all sectors – sickperiods

min:
0.34
max:
0.65
avg:
0.473
σ:
0.084

[2.030.000000DV] women – business sector – sickdays

min:
1.26
max:
2.28
avg:
1.623
σ:
0.3

[2.030.000000E0] women – business sector – sickperiods

min:
0.32
max:
0.54
avg:
0.411
σ:
0.062

[2.040.000000DV] women – non-profit institutions serving households – sickdays

min:
1.1
max:
2.21
avg:
1.504
σ:
0.32

[2.040.000000E0] women – non-profit institutions serving households – sickperiods

min:
0.26
max:
0.5
avg:
0.357
σ:
0.071