DBnomics, the world's economic database

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

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

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

This dataset has 36 series:

[1+2.010.000000DV] total – all sectors – sickdays

from
2015-Q2=1.27
to
2021-Q4=2.25
min:
1.19
max:
2.38
avg:
1.652
σ:
0.354

[1+2.010.000000E0] total – all sectors – sickperiods

from
2015-Q2=0.32
to
2021-Q4=0.54
min:
0.29
max:
0.54
avg:
0.401
σ:
0.07

[1+2.030.000000DV] total – business sector – sickdays

from
2015-Q2=1.11
to
2021-Q4=1.93
min:
1.07
max:
1.99
avg:
1.445
σ:
0.284

[1+2.030.000000E0] total – business sector – sickperiods

from
2015-Q2=0.29
to
2021-Q4=0.47
min:
0.27
max:
0.47
avg:
0.359
σ:
0.058

[1+2.040.000000DV] total – non-profit institutions serving households – sickdays

from
2015-Q2=1
to
2021-Q4=1.76
min:
0.95
max:
1.88
avg:
1.285
σ:
0.276

[1+2.040.000000E0] total – non-profit institutions serving households – sickperiods

from
2015-Q2=0.25
to
2021-Q4=0.42
min:
0.22
max:
0.42
avg:
0.304
σ:
0.06

[1+2.320.000000DV] total – central government – sickdays

from
2015-Q2=1.12
to
2021-Q4=1.72
min:
1
max:
2.07
avg:
1.402
σ:
0.284

[1+2.320.000000E0] total – central government – sickperiods

from
2015-Q2=0.26
to
2021-Q4=0.41
min:
0.22
max:
0.48
avg:
0.328
σ:
0.067

[1+2.410.000000DV] total – municipality – sickdays

from
2015-Q2=1.82
to
2021-Q4=3.51
min:
1.63
max:
3.87
avg:
2.411
σ:
0.635

[1+2.410.000000E0] total – municipality – sickperiods

from
2015-Q2=0.43
to
2021-Q4=0.83
min:
0.38
max:
0.83
avg:
0.564
σ:
0.122