Number of sickperiods and sickdays per employee by sex, sector, observations and quarter [SjukloneperiodSekt]
Documentation on provider website
Updated on DBnomics on April 8, 2022 (1:30 PM)
sex [Kon]
sector [Sektor]
observations [ContentsCode]
Dataset has 30 series. Add search filters to narrow them.
- total – all sectors – sickdays [SCB/SjukloneperiodSekt/1+2.010.AM0209T1]
- min:
- 0.93
- max:
- 1.82
- avg:
- 1.259
- σ:
- 0.261
- total – all sectors – sickperiods [SCB/SjukloneperiodSekt/1+2.010.AM0209T2]
- min:
- 0.21
- max:
- 0.44
- avg:
- 0.305
- σ:
- 0.067
- total – central government – sickdays [SCB/SjukloneperiodSekt/1+2.320.AM0209T1]
- min:
- 0.76
- max:
- 1.64
- avg:
- 1.072
- σ:
- 0.238
- total – central government – sickperiods [SCB/SjukloneperiodSekt/1+2.320.AM0209T2]
- min:
- 0.16
- max:
- 0.37
- avg:
- 0.238
- σ:
- 0.057
- total – private sector – sickdays [SCB/SjukloneperiodSekt/1+2.350.AM0209T1]
- min:
- 0.82
- max:
- 1.6
- avg:
- 1.11
- σ:
- 0.228
- total – private sector – sickperiods [SCB/SjukloneperiodSekt/1+2.350.AM0209T2]
- min:
- 0.19
- max:
- 0.4
- avg:
- 0.276
- σ:
- 0.06
- total – municipality – sickdays [SCB/SjukloneperiodSekt/1+2.410.AM0209T1]
- min:
- 1.22
- max:
- 2.59
- avg:
- 1.735
- σ:
- 0.392
- total – municipality – sickperiods [SCB/SjukloneperiodSekt/1+2.410.AM0209T2]
- min:
- 0.27
- max:
- 0.59
- avg:
- 0.4
- σ:
- 0.096
- total – region – sickdays [SCB/SjukloneperiodSekt/1+2.420.AM0209T1]
- min:
- 1.16
- max:
- 2.24
- avg:
- 1.562
- σ:
- 0.3
- total – region – sickperiods [SCB/SjukloneperiodSekt/1+2.420.AM0209T2]
- min:
- 0.28
- max:
- 0.54
- avg:
- 0.379
- σ:
- 0.076
Showing results 1 - 10 / 30
Dimension codes and labels
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[Sektor] sector
- [010] all sectors
- [350] private sector
- [320] central government
- [410] municipality
- [420] region
[ContentsCode] observations
- [AM0209T1] sickdays
- [AM0209T2] sickperiods