Dataset: LFS - Decile ratios of gross earnings

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Concepts & Classifications

Concepts & Classifications

Key statistical concept

Key statistical concept

This dataset contains three earnings-dispersion measures - ratio of 9^{th}-to-1^{st}, 9^{th}-to-5^{th} and 5^{th}-to-1^{st} - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. The dataset also includes series on:

- the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers;
- the incidence of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers;
- gender wage gap unadjusted and defined as the difference between median wages of men and women relative to the median wages of men.

This dataset contains three earnings-dispersion measures - ratio of 9^{th}-to-1^{st}, 9^{th}-to-5^{th} and 5^{th}-to-1^{st} - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. The dataset also includes series on:

- the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers;
- the incidence of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers;
- gender wage gap unadjusted and defined as the difference between median wages of men and women relative to the median wages of men.