Number of sickdays and sickperiods per employee by industrial classification NACE Rev. 1.1, sex, observations and quarter [KSjuSNI2002]
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Updated on DBnomics on April 8, 2022 (1:30 PM)
industrial classification NACE Rev. 1.1 [SNI2002]
sex [Kon]
observations [ContentsCode]
Dataset has 18 series. Add search filters to narrow them.
- production industry – total – Sickdays [SCB/KSjuSNI2002/A-F.1+2.AM0209T3]
- min:
- 0.97
- max:
- 1.69
- avg:
- 1.284
- σ:
- 0.241
- production industry – total – Sickperiods [SCB/KSjuSNI2002/A-F.1+2.AM0209T4]
- min:
- 0.22
- max:
- 0.37
- avg:
- 0.286
- σ:
- 0.057
- production industry – men – Sickdays [SCB/KSjuSNI2002/A-F.1.AM0209T3]
- min:
- 0.92
- max:
- 1.59
- avg:
- 1.209
- σ:
- 0.235
- production industry – men – Sickperiods [SCB/KSjuSNI2002/A-F.1.AM0209T4]
- min:
- 0.2
- max:
- 0.35
- avg:
- 0.271
- σ:
- 0.055
- production industry – women – Sickdays [SCB/KSjuSNI2002/A-F.2.AM0209T3]
- min:
- 1.17
- max:
- 2.05
- avg:
- 1.552
- σ:
- 0.272
- production industry – women – Sickperiods [SCB/KSjuSNI2002/A-F.2.AM0209T4]
- min:
- 0.26
- max:
- 0.43
- avg:
- 0.338
- σ:
- 0.058
- all industry (exkl P+Q) – total – Sickdays [SCB/KSjuSNI2002/A-O.1+2.AM0209T3]
- min:
- 0.93
- max:
- 1.49
- avg:
- 1.182
- σ:
- 0.212
- all industry (exkl P+Q) – total – Sickperiods [SCB/KSjuSNI2002/A-O.1+2.AM0209T4]
- min:
- 0.21
- max:
- 0.35
- avg:
- 0.278
- σ:
- 0.055
- all industry (exkl P+Q) – men – Sickdays [SCB/KSjuSNI2002/A-O.1.AM0209T3]
- min:
- 0.76
- max:
- 1.24
- avg:
- 0.969
- σ:
- 0.176
- all industry (exkl P+Q) – men – Sickperiods [SCB/KSjuSNI2002/A-O.1.AM0209T4]
- min:
- 0.17
- max:
- 0.29
- avg:
- 0.228
- σ:
- 0.043
Showing results 1 - 10 / 18
Dimension codes and labels
[SNI2002] industrial classification NACE Rev. 1.1
- [A-O] all industry (exkl P+Q)
- [A-F] production industry
- [G-O] service industry, public authorities and defence
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[ContentsCode] observations
- [AM0209T3] Sickdays
- [AM0209T4] Sickperiods