Table 1.
Categorical variables | n | % | 95% CI | |
---|---|---|---|---|
Sex | ||||
Male | 5,005 | 65.3% | 64.2-66.4 | |
Female | 2,661 | 34.7% | 33.6-35.8 | |
Job Type | ||||
Labour | 5,986 | 78.1% | 77.2-79.0 | |
Administration | 1,626 | 21.2% | 20.3-22.1 | |
Contract Type | ||||
Permanent | 5,403 | 70.5% | 69.4-71.5 | |
Part-time/Short-term | 2,263 | 29.5% | 28.5-30.5 | |
Industry | ||||
Retail and Trade | 2,086 | 27.2% | 26.2-28.2 | |
Agriculture | 465 | 6.1% | 5.5-6.6 | |
Fishing | 1,869 | 24.4% | 23.4-25.3 | |
Electricity, gas & water | 1,140 | 14.9% | 14.1-15.7 | |
Wholesale trade and repair of motor vehicles | 1,031 | 13.4% | 12.7-14.2 | |
Hotels and Restaurants | 300 | 3.9% | 3.5-4.3 | |
Transport, Storage and Communication | 775 | 10.1% | 9.4-10.8 | |
Sick absence | ||||
Any absence | 1,431 | 18.6% | 17.6-19.7 | |
5 or more days absent | 334 | 4.3% | 3.9-4.8 | |
Continuous Variables | n | 95% CI | ||
Age | ||||
Mean | 36.3 | 36.0-36.5 | ||
Median | 35 | |||
Range | 20-79 | |||
Missing data | 0 | |||
Sick Days | ||||
Mean | 0.92 | 0.83-1.01 | ||
Median | 0 | |||
Range | 0-90 | |||
Missing data | 890 |