For male employees additional earnings accounted for 6. Figure Components of full-time mean gross weekly earnings; UK, April Source: Annual Survey of Hours and Earnings ASHE - Office for National Statistics Notes: Employees on adult rates, pay unaffected by absence Full-time defined as employees working more than 30 paid hours per week or 25 or more for the teaching professions Calculation of mean includes zero responses data are provisional Download this chart Figure Components of full-time mean gross weekly earnings; UK, April Image.
Component subtotal Men Calculation of mean includes zero responses 4. In April full-time employees worked a mean average of In comparison, part-time employees worked For part-time men there was a 0. Figure Mean full-time weekly paid hours of work; UK, April and Source: Annual Survey of Hours and Earnings ASHE - Office for National Statistics Notes: Employees on adult rates, pay unaffected by absence Full-time defined as employees working more than 30 paid hours per week or 25 or more for the teaching professions data are revised, data are provisional Download this chart Figure Mean full-time weekly paid hours of work; UK, April and Image.
The proportion of full-time employees working paid overtime in April was Full-time employees worked a mean average of 1. The percentage of full-time men who worked paid overtime has risen from There has also been an increase for full-time women over the same period, from Figure Full-time mean weekly paid overtime hours; UK, April and Source: Annual Survey of Hours and Earnings ASHE - Office for National Statistics Notes: Employees on adult rates, pay unaffected by absence Full-time defined as employees working more than 30 paid hours per week or 25 or more for the teaching professions data are revised, data are provisional Download this chart Figure Full-time mean weekly paid overtime hours; UK, April and Image.
Information on earnings and hours is obtained from employers and treated confidentially. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period.
In information related to the pay period which included 18 April. This bulletin contains provisional results from the survey and revised results from the survey. More detailed information is available on the ONS website. This report describes, in detail, the intended uses of the statistics presented in this publication, their general quality and the methods used to produce them.
The headline statistics for ASHE are based on the median rather than the mean. It is ONS's preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. It therefore gives a better indication of typical pay than the mean. Various methods can be used to measure the earnings of women relative to men.
ONS's headline estimates of the gender pay gap are for hourly earnings excluding overtime. Including overtime can distort the picture as men work relatively more overtime than women. This is because such measures do not allow for the different employment characteristics of men and women, such as the proportion in different occupations and their length of time in jobs.
Since the SOC forms part of the methodology by which ASHE data are weighted to produce estimates for the UK, this release marked the start of a new time series and therefore care should be taken when making comparisons with earlier years. The earnings information presented relates to gross pay before tax, National Insurance or other deductions, and excludes payments in kind.
With the exception of annual earnings, the results are restricted to earnings relating to the survey pay period and so exclude payments of arrears from another period made during the survey period; any payments due as a result of a pay settlement but not yet paid at the time of the survey will also be excluded.
For particular groups of employees, changes in median earnings between successive surveys may be affected by changes in the timing of pay settlements, in some cases reflecting more than one settlement and, in others, no settlement at all.
Most of the published ASHE analyses that is, excluding annual earnings relate to full-time employees on adult rates whose earnings for the survey pay period were not affected by absence. They do not include the earnings of those who did not work a full week, and whose earnings were reduced for other reasons, such as sickness.
Also, they do not include the earnings of employees not on adult rates of pay, most of whom will be young people. More information on the earnings of young people and part-time employees is available in the main survey results. Full-time employees are defined as those who work more than 30 paid hours per week or those in teaching professions working 25 paid hours or more per week. In line with normal practice this release contains revised estimates from the survey results which were published on 23 November These results take account of some corrections to the original data that were identified during the validation of the results for , as well as late returns.
The coefficient of variation cv is the ratio of the standard error of an estimate to the estimate, expressed as a percentage. The smaller the cv, the higher the quality of the estimate. The coefficients of variation for the ASHE estimates are shown in the table below:.
Coefficient of variation is the ratio of the standard error of an estimate to the estimate, expressed as a percentage 3. No information is available on occupation, hours worked, and other characteristics of the workforce. The Labour Force Survey LFS collects information on the earnings and normal and actual hours worked of about 15, people aged 16 and over each quarter. In addition it collects data on a wide range of personal characteristics, including education level and ethnic origin.
This enables the preparation of statistics on levels and distribution of earnings similar to the ASHE but with lower precision due to the much smaller sample size.
The percentage changes of constituent items in tables may not always agree exactly with the values shown due to rounding. Details of the policy governing the release of new data are available by visiting www. These National Statistics are produced to high professional standards and released according to the arrangements approved by the UK Statistics Authority. Tell us whether you accept cookies We would like to use cookies to collect information about how you use ons.
Accept all cookies. Set cookie preferences. Table of contents Key points Summary Weekly earnings Annual earnings Hourly earnings excluding overtime Public and private sector pay Earnings by age group Regional earnings Earnings by occupation The make-up of earnings Total weekly and overtime paid hours Background notes Methodology.
View all data used in this Statistical bulletin. Jump to main content. JRF's annual update, based on what members of the public think people need to achieve a socially acceptable standard of living. Over time, changes in prices affect the cost of a minimum standard of living MIS , and changes in social norms change the 'minimum' that is required.
This study considers both of these, and updates the MIS budgets to April This update of MIS is based on increases in living costs. The findings also reflect important changes in the tax and benefits systems, which affect how well people living on benefits can afford necessities and how much people in work need to earn in order to reach a minimum net income. The research describes how people on lower incomes are feeling the squeeze caused by a combination of sluggish income growth, relatively rapid price increases, and tax and benefit changes.
This report is JRF's annual update of the 'minimum income standard', based on what members of the public think people need to achieve a socially acceptable standard of living.
The figures reflect price increases and the effect of changing tax and benefit rates. It is updated regularly to reflect changes in costs and living standards.
The standard covers the whole of the UK; supplementary research in identified additional and different needs in rural areas. The present report updates the main and rural figures to take account of inflation. MIS calculations are based on research that asks members of the public to identify the items a household would need to reach a minimum acceptable standard of living, covering essential requirements and allowing people to participate in society. According to official figures, the year to April saw inflation at its highest level for five years.
However, the cost of a minimum household budget does not necessarily change at the same rate as general inflation. The minimum budget is strongly influenced by the price of items such as food, which form a bigger proportion of this budget than for the basket of goods used to calculate CPI.
Where such items rise in price relatively quickly, the minimum budget increases by more than the general inflation rate. In the past year, the cost of minimum budgets for various households has risen by 4. Figure 1 shows that since the launch of MIS three years ago, minimum budgets have become 14 per cent more expensive, compared with 11 per cent for CPI and 10 per cent for RPI. The slowdown means it would take an extra 19 years for women's pay to equal that of men's, with being the year in which full-time earning between the genders would equate.
Regional differences in salaries also sustained year-on-year. England's highest earning constituency, Westminster North, had a small 0. Residents of Blackpool South endured a larger drop in pay than that of Westminster, at 0. Data journalism and data visualisations from the Guardian.
Turn autoplay off Turn autoplay on. Jump to content [s] Jump to comments [c] Jump to site navigation [0] Jump to search [4] Terms and conditions [8]. News Datablog. Wages throughout the country: how does your area compare?
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