Number of sick days and sick periods per employee by industrial classification NACE Rev. 2, sex, observations and quarter [KSjuSNI2007]
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Updated on DBnomics on February 22, 2023 (11:00 AM)
industrial classification NACE Rev. 2 [SNI2007]
sex [Kon]
observations [ContentsCode]
Dataset has 18 series. Add search filters to narrow them.
- production industries, etc. – total – Sick days [SCB/KSjuSNI2007/A-F.1+2.AM0209A1]
- min:
- 0.91
- max:
- 2.27
- avg:
- 1.475
- σ:
- 0.344
- production industries, etc. – total – Sick periods [SCB/KSjuSNI2007/A-F.1+2.AM0209A2]
- min:
- 0.21
- max:
- 0.49
- avg:
- 0.344
- σ:
- 0.074
- production industries, etc. – men – Sick days [SCB/KSjuSNI2007/A-F.1.AM0209A1]
- min:
- 0.85
- max:
- 2.32
- avg:
- 1.433
- σ:
- 0.362
- production industries, etc. – men – Sick periods [SCB/KSjuSNI2007/A-F.1.AM0209A2]
- min:
- 0.19
- max:
- 0.48
- avg:
- 0.334
- σ:
- 0.077
- production industries, etc. – women – Sick days [SCB/KSjuSNI2007/A-F.2.AM0209A1]
- min:
- 1.15
- max:
- 2.54
- avg:
- 1.647
- σ:
- 0.307
- production industries, etc. – women – Sick periods [SCB/KSjuSNI2007/A-F.2.AM0209A2]
- min:
- 0.26
- max:
- 0.55
- avg:
- 0.381
- σ:
- 0.067
- total, business sector – total – Sick days [SCB/KSjuSNI2007/A-S.1+2.AM0209A1]
- min:
- 0.93
- max:
- 2.38
- avg:
- 1.486
- σ:
- 0.361
- total, business sector – total – Sick periods [SCB/KSjuSNI2007/A-S.1+2.AM0209A2]
- min:
- 0.22
- max:
- 0.54
- avg:
- 0.363
- σ:
- 0.08
- total, business sector – men – Sick days [SCB/KSjuSNI2007/A-S.1.AM0209A1]
- min:
- 0.75
- max:
- 1.91
- avg:
- 1.224
- σ:
- 0.304
- total, business sector – men – Sick periods [SCB/KSjuSNI2007/A-S.1.AM0209A2]
- min:
- 0.17
- max:
- 0.45
- avg:
- 0.302
- σ:
- 0.068
Showing results 1 - 10 / 18
Dimension codes and labels
[SNI2007] industrial classification NACE Rev. 2
- [A-S] total, business sector
- [A-F] production industries, etc.
- [G-S] service industries, etc.
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[ContentsCode] observations
- [AM0209A1] Sick days
- [AM0209A2] Sick periods