In January 2025, the top one percent of earners in the United Kingdom received an average pay of 15,882 British pounds per month, compared with the bottom 10 percent of earners who earned 813 pounds a month.

In 2022 the top one percent of earners in the United Kingdom accounted for around 10.2 percent of the overall national income of the UK. The share of national income earned by the top one percent increased from 6.8 percent in 1980 to a peak of 14.8 percent in 2007.

In 2024, the average annual full-time earnings for the top ten percent of earners in the United Kingdom was 72,150 British pounds, compared with 22,763 for the bottom ten percent of earners.

In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

In 2021/22 approximately 9.63 million taxpayers in the United Kingdom earned between 20,000 and 29,999 British pounds in this tax year, the most of any income level, while approximately 25,000 taxpayers in the UK earned over one million pounds.

Households in the bottom decile in the United Kingdom earned, on average, 18,706 British pounds per year in 2022/23, compared with the top decile which earned 185,358 pounds per year.

The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 33.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was 31,947 pounds in 2021, but for London it was 56,431 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2021, for example, the average earnings in the historic City of London borough were 1,138 pounds per week, compared with 588 pounds in Redbridge, a borough in the North East of London. Wages finally catch up with inflation in 2023 After the initial economic disruption caused by the COVID-19 pandemic subsided, wages began to steadily grow in the UK. This reached a peak in June 2021, when weekly wages for regular pay were growing at 7.3 percent, or 5.2 percent when adjusted for inflation. By that November, however, prices began to rise faster than wage growth, with inflation surging throughout 2022. In October 2022, for example, while regular pay was growing by 6.1 percent, the inflation rate had surged to 11.1 percent, Although inflation peaked in that month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation has precipitated the worst Cost of Living Crisis in the UK for a generation.

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by region, and public and private sector, and non-profit bodies and mutual associations. Hourly and weekly estimates are provided for the pay period that included a specified date in April. They relate to employees on adult rates of pay, whose earnings for the survey pay period were not affected by absence. Estimates for 2020 and 2021 include employees who have been furloughed under the Coronavirus Job Retention Scheme (CJRS). Annual estimates are provided for the tax year that ended on 5th April in the reference year. They relate to employees on adult rates of pay who have been in the same job for more than a year.

In the three months to December 2024, average weekly earnings in the United Kingdom grew by 5.9 percent, while pay including bonuses also grew by six percent, when compared with the same period in 2023. In the same month, the inflation rate for the Consumer Price Index was 2.5 percent, indicating that wages were rising faster than prices that month. Average salaries in the UK In 2024, the average salary for full-time workers in the UK was 37,430 British pounds a year, up from 34,963 in the previous year. In London, the average annual salary was far higher than the rest of the country, at 47,455 pounds per year, compared with just 32,960 in North East England. There also still exists a noticeable gender pay gap in the UK, which was seven percent for full-time workers in 2024, down from 7.5 percent in 2023. Lastly, the monthly earnings of the top one percent in the UK was 15,887 pounds as of November 2024, far higher than even that of the average for the top five percent, who earned 7,641 pounds per month, while pay for the lowest 10 percent of earners was just 805 pounds per month. Waves of industrial action in the UK One of the main consequences of high inflation and low wage growth throughout 2022 and 2023 was an increase in industrial action in the UK. In December 2022, for example, there were approximately 830,000 working days lost due to labor disputes. Throughout this month, workers across various industry sectors were involved in industrial disputes, such as nurses, train drivers, and driving instructors. Many of the workers who took part in strikes were part of the UK's public sector, which saw far weaker wage growth than that of the private sector throughout 2022. Widespread industrial action continued into 2023, with approximately 303,000 workers involved in industrial disputes in March 2023. There was far less industrial action by 2024, however, due to settlements in many of the disputes, although some are ongoing as of 2025.

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time.

At the turn of the twentieth century, the wealthiest one percent of people in the United Kingdom controlled 71 percent of net personal wealth, while the top ten percent controlled 93 percent. The share of wealth controlled by the rich in the United Kingdom fell throughout the twentieth century, and by 1990 the richest one percent controlled 16 percent of wealth, and the richest ten percent just over half of it.

Average weekly earnings at sector level headline estimates, Great Britain, monthly, seasonally adjusted. Monthly Wages and Salaries Survey.

In 2024 men aged between 50 and 59 were the highest full-time earners in the United Kingdom among different gender and age groups, with men of different ages consistently earning more than women.

This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough.

The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings.

Pre-2013 Land Registry housing data are for the first half of the year only, so that they are comparable to the ASHE data which are as at April. This is no longer the case from 2013 onwards as this data uses house price data from the ONS House Price Statistics for Small Areas statistical release. Prior to 2006 data are not available for Inner and Outer London.

The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile.
The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order.
The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data since 2014 has been calculated by the GLA using Land Registry house prices and ONS Earnings data.

Link to DCLG Live Tables

An interactive map showing the affordability ratios by local authority for 2013, 2014 and 2015 is also available.

Detailed breakdown of average weekly household expenditure on goods and services in the UK. Data are shown by place of purchase, income group (deciles) and age of household reference person.

Abstract copyright UK Data Service and data collection copyright owner.

The New Earnings Survey is almost certainly the most detailed and comprehensive earnings series anywhere in the world. It is a one in a hundred sample survey of employees in Britain, giving information on aspects of earnings and employment based on a week in April each year. The NES enquiry is conducted by the Department of Employment under the provisions of the Statistics of Trade Act (1947). Under the terms of this Act, data so obtained and relating solely to any individual may not be released into the public domain. All the data described here are in a form that ensures that there is no disclosure of individual information. They have been processed into a minimally aggregated form approved by the Department of Employment: any data record released relates to an aggregate of not less than three individuals.
Main Topics:
The dataset consists of fourteen separate extract data files from the original New Earnings Survey files held by the Department of Employment. Each extract file had been constructed to allow investigation of a particular aspect of the data contained in the Survey, as follows:
AGG01 National Collective Agreements
AGG02 Manual Skill Differentials
AGG03 Regional Implications
AGG04 Age implications
AGG05 Dispersion of Pay within Occupations
AGG06 Shiftwork
AGG07 Pay in relation to hours worked
AGG08 Public/Private Sector Pay Movements
AGG09 White Collar Pay Movements
AGG10 Sex Differentials
AGG11 Incentive Pay and Payment Schemes
AGG12 Incentive Payment Schemes and Age
AGG14 Pay in Relation to Size of Company and Plant
AGG15 Pay in Relation to Company Size and Region
Eight of the aggregate files (numbers 2,3,4,5,7,8,9 and 10) relate to dimensions recorded in the Survey in each year and comprise 13 annual files, one for each year 1970-1982. A further two aggregate files (numbers 1 and 6) contain 10 annual files for the years 1973-1982 inclusive, omitting the years 1970-1972, AGG01, due to the introduction of new occupations codes in 1973, and AGG06 due to the lack of shift pay premium prior to 1973. The remaining four files (numbers 11,12,14 and 15) relate to a single year only and are based on the special question included in that year.

Abstract copyright UK Data Service and data collection copyright owner.

The Annual Survey of Hours and Earnings (ASHE) is one of the largest surveys of the earnings of individuals in the UK. Data on the wages, paid hours of work, and pensions arrangements of nearly one per cent of the working population are collected. Other variables relating to age, occupation and industrial classification are also available. The ASHE sample is drawn from National Insurance records for working individuals, and the survey forms are sent to their respective employers to complete.

While limited in terms of personal characteristics compared to surveys such as the Labour Force Survey, the ASHE is useful not only because of its larger sample size, but also the responses regarding wages and hours are considered to be more accurate, since the responses are provided by employers rather than from employees themselves. A further advantage of the ASHE is that data for the same individuals are collected year after year. It is therefore possible to construct a panel dataset of responses for each individual running back as far as 1997, and to track how occupations, earnings and working hours change for individuals over time. Furthermore, using the unique business identifiers, it is possible to combine ASHE data with data from other business surveys, such as the Annual Business Survey (UK Data Archive SN 7451).

The ASHE replaced the New Earnings Survey (NES, SN 6704) in 2004. NES was developed in the 1970s in response to the policy needs of the time. The survey had changed very little in its thirty-year history. ASHE datasets for the years 1997-2003 were derived using ASHE methodologies applied to NES data.

The ASHE improves on the NES in the following ways:

• the NES questionnaire allowed too much variation in employer responses, leading to wide variations in the data
• weightings have been introduced to take account of the population size (significant biases were a known problem in NES data)
• the significant numbers of employees who change jobs between the sample selection and survey reference dates are retained in the ASHE sample, whereas these were dropped from the NES

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Observations from Northern Ireland
The ASHE data held by the UK Data Archive include very few observations from Northern Ireland. Users requiring access to Northern Ireland data are advised to contact the Northern Ireland Statistics and Research Agency, who administer this aspect of the survey.

Local unit reference variable, luref
The local unit reference variable 'luref', is generated to indicate multiple occurrences of the same local unit for disclosure checking purposes. It is inconsistent across years and is not an IDBR reference number. It should not be used to link ASHE with other business datasets.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

Latest Edition Information
For the twenty-sixth edition (February 2025), the data file 'ashegb_2023r_2024p_pc' has been added, along with the accompanying data dictionary.

Main Topics:

The ASHE contains a small number of variables for each individual, relating to wages, hours of work, pension arrangements, and occupation and industrial classifications. There are also variables for age, gender and full/part-time status. Because the data are collected by the employer, there are also variables relating to the organisation employing the individual. These include employment size and legal status (e.g. public company). Various geography variables are included in the data files.

The number of high net worth individuals (HNWIs) in Europe has grown steadily over the past decade. This trend reflects broader wealth accumulation patterns across the continent, with the richest segments of society gaining an increasingly larger share of total wealth. Despite this concentration at the top, recent years have seen some positive signs in terms of overall income inequality reduction in Europe. Wealth concentration at the top From 1995 to 2021, the wealthiest one percent in Europe increased their share of wealth from 22 percent to over 26 percent. During this same period, the bottom 90 percent saw their collective share shrink. This concentration of wealth at the top aligns with the growth in HNWIs observed in countries in Europe. The top 10 percent of wealthy Europeans now own more than the remaining 90 percent combined, highlighting the significant wealth disparity that persists despite the overall increase in HNWIs.

Signs of improving income equality While wealth concentration has increased, there are indications that income inequality in the European Union has been improving in recent years. The Gini coefficient, a measure of income inequality, has been declining in both the EU and Eurozone since 2014, reaching new lows of 29.6 and 29.8 respectively in 2023. Additionally, the income ratio between the top 20 percent and bottom 20 percent of earners in the EU has fallen from 5.22 in 2015 to 4.74 in 2022. These trends suggest that despite the growth in HNWIs, efforts to address income disparities may be having some positive effects across the broader population.

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

This release combines fourteen waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS is to understand short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move they are followed within the UK and anyone joining their households are also interviewed as long as they are living with them. The study has five sample components: the general population sample; a boost sample of ethnic minority group members; an immigrant and ethnic minority boost sample (from wave 6); participants from the BHPS; and a second general population boost sample added at this wave. In addition, there is the Understanding Society Innovation Panel (which is a separate standalone survey (see SN 6849)). The fieldwork period is for 24 months. Data collection uses computer assisted personal interviewing (CAPI) and web interviews (from wave 7), and includes a telephone mop-up. From March 2020 (the end of wave 10 and the 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey was conducted by web and telephone only, but otherwise has continued as before. Face-to-face interviewing was resumed from April 2022. One person completes the household questionnaire. Each person aged 16 is invited to complete the individual adult interview and self-completed questionnaire. Parents are asked questions about their children under 10 years old. Youths aged 10 to 15 are asked to respond to a self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available. The biomarker data, and summary genetics and epigenetic scores, are available via UKDS (see SN 7251); detailed genetics and epigenetics data are available by application (see below). In 2020-21 an additional frequent web survey was separately issued to sample members to capture data on the rapid changes in people’s lives due to the COVID-19 pandemic (see SN 8644). Participants are asked consent to link their data to wide-ranging administrative data sets (see below).

Further information may be found on the Understanding Society Main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage.

Co-funders

In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency.

End User Licence, Special Licence and Secure Access versions:

There are three versions of the main Understanding Society data with different access conditions. One is available under the standard End User Licence (EUL) agreement (this study), one is a Special Licence (SL) version (SN 6931) and the third is a Secure Access version (SN 6676). The SL version contains month as well as year of birth variables, more detailed country and occupation coding for a number of variables, various income variables that have not been top-coded, and other potentially sensitive variables (see 6931_eul_vs_sl_variable_differences document available with the SL version for full details of the differences). The Secure Access version, in addition to containing all the variables in the SL version, also contains day of birth as well as Grid Reference geographical variables. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL and Secure Access versions of the data have more restrictive access conditions and prospective users of those versions should visit the catalogue entries for SN 6931 and SN 6676 respectively for further information.

Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7453-4, 7629-30, 7245, 7248-9 and 9169-9170. Schools data are available subject to SL access conditions in SN 7182. Higher Education establishments for Wave 5 are available subject to SL access conditions in SN 8578. Interviewer Characteristics data, also subject to SL access conditions is available in SN 8579. In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from ONS Postcode Directories (ONSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record.

How to access genetic and/or bio-medical sample data from Understanding Society:

Information on how to access genetics and epigenetics data directly from the study team is available on the Understanding Society Accessing data webpage.

Linked administrative data

Linked Understanding Society / administrative data are available on a number of different platforms. See the Understanding Society Data linkage webpage for details of those currently available and how they can be accessed.

Latest edition information

For the 19th edition (November 2024) Wave 14 data has been added. Other minor changes and corrections have also been made to Waves 1-13. Please refer to the revisions document for full details.

m_hhresp and n_hhresp files updated, December 2024

In the previous release (19th edition, November 2024), there was an issue with household income estimates in m_hhresp and n_hhresp where a household resides in a new local authority (approx. 300 households in wave 14). The issue has been corrected and imputation models re-estimated and imputed values updated for the full sample. Imputed values will therefore change compared to the versions in the original release. The variable affected is n_ctband_dv.

Suitable data analysis software

These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain over 2,047 variables.