This table provides metadata for the actual indicator available from UK statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from UK statistics, this table should be consulted for information on national methodology and other UK-specific metadata information.
Average (mean) hourly earnings of female and male employees, by occupation, working pattern, age, country and persons with disabilities
|Unit of measurement||
Earnings refer to the gross remuneration in cash or in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers’ contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. For international comparability purposes, statistics of earnings used relate to employees’ gross remuneration, i.e. the total before any deductions are made by the employer in respect of taxes, contributions of employees to social security and pension schemes, life insurance premiums, union dues and other obligations of employees. As stated in the indicator title, data on earnings should be presented on the basis of the arithmetic average of the hourly earnings of all employees.
It is very important to observe that the ASHE and APS earnings are not directly comparable, and that APS data is used to disaggregate by disability only because ASHE cannot be disaggregated by disability. The APS data is based on the working population and covers age ranges 16 to 64. The ASHE data are collected in April, while APS data are collected across the whole year. Data follows the UN specification for this indicator. This indicator has been identified in collaboration with topic experts.
|Data last updated||2020-03-13: see changes on GitHub opens in a new window|
|Metadata last updated||2020-02-28: see changes on GitHub opens in a new window|