This statistic displays the average total income per retired household in the United Kingdom (UK) in 2017/18, by decile. The average total income, per retired household of those in the top decile amounted to 53,7632 thousand British pounds. This was over 18 times more than the average total income per retired household of those in the bottom decile, which came to 2,883 British pounds.

The years 2001/2002-2020/2021 indicated a period where the median disposable income generally increased. In 2001/02 the median disposable household income for retired individuals amounted to 17,000 British pounds. By 2019/20 the median disposable household income for retired individuals had increased to 23,500 British pounds, a net increase of approximately 7,000 GBP.

This statistic shows the annual mean income of retired households in the United Kingdom (UK) from 2000 to 2019, measured in British pounds. In the period of consideration, mean income of retired households presented a trend of growth, despite some fluctuation. In the financial year 2018/19, the annual mean income of these households amounted to **** thousand British pounds. The financial year of 2018/19 saw a growth of roughly ** percent in comparison with the financial year of 2000/01.

The value of any pension pots already accrued that are not state basic retirement or state earning related. This includes occupational pensions, personal pensions, retained rights in previous pensions and pensions in payment.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Pensioners' Incomes (PI) contains estimates of the levels, sources and distribution of pensioners' incomes. It also examines the position of single pensioners and pensioner couples, including any dependent children, within the income distribution of the population as a whole. This differs from Households Below Average Income (HBAI) (see SNs 5828 and 7196), where analysis is on a household basis, and includes the income of adults not in the pensioner unit but living in the same household. The PI undertakes a few extra steps beyond the FRS and HBAI data to derive pension income variables.

The PI series is a key source of information used to inform Government thinking on relevant policies and related programmes and projects. Researchers and analysts outside the government use statistics and data to examine topics such as ageing, the distributional impacts of fiscal policies, and pensioner groups' income profiles. The PI estimates are usually based on a sample of around 7,000 adults over State Pension age, who reside in private households in the United Kingdom, taken from the Family Resources Survey (FRS).

The gov.uk Pensioners' Incomes Statistics webpage contains annual reports, accompanying tables, research, and technical papers.

PI data are also available from 1994/95 onwards via the Department for Work and Pensions (DWP) Stat-Xplore online tool.

Secure Access PI data

The Secure Access version of the PI series (SN 9257) is available from 2007/08 onwards, whereas the standard End User Licence (EUL) data (SN 8503) are available from 2008/09. Unlike the EUL versions, the ages of the head of household and spouse have not been top-coded at 80 years in the Secure Access version. Prospective users of the Secure Access version must fulfil additional requirements beyond those associated with the EUL datasets. The Secure Access version of FRS is held under SN 9256, and the Secure Access version of HBAI is available under SN 7196.

Latest edition information

For the 7th edition (April 2025), data and documentation for 2023/24 were added to the study.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

This statistic displays the average state pension per retired household in the United Kingdom (UK) in 2017/18, by decile group. Retired households in the bottom decile received, on average, 5,747 British pounds in state pension. This was the lowest state pension received of any decile group. Retired households in the top decile received, on average, 11,209 British pounds in state pension. This was the highest income received from state pension of any decile group.

Abstract copyright UK Data Service and data collection copyright owner.The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP. The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage. The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage. Safe Room Access FRS data In addition to the standard End User Licence (EUL) version, Safe Room access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 7196, where the extra contents are listed. The Safe Room version also includes secure access versions of the Households Below Average Income (HBAI) and Pensioners' Incomes (PI) datasets. The Safe Room access data are currently only available to UK HE/FE applicants and for access at the UK Data Archive's Safe Room at the University of Essex, Colchester. Prospective users of the Safe Room access version of the FRS/HBAI/PI will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from Guidance on applying for the Family Resources Survey: Secure Access.FRS, HBAI and PIThe FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503 respectively. The secure access versions are held within the Safe Room FRS study under SN 7196 (see above). The FRS aims to: support the monitoring of the social security programme; support the costing and modelling of changes to national insurance contributions and social security benefits; provide better information for the forecasting of benefit expenditure. From April 2002, the FRS was extended to include Northern Ireland. Detailed information regarding anonymisation within the FRS can be found in User Guide 2 of the dataset documentation. Edition History: For the second edition (July 2009), correction was made to variables TOTCAPBU and TOTCAPB2. Edits made to the PENPROV table were reviewed and new edits, based on revised criteria, applied to the dataset (see Penprov note for details). For the third edition (October 2014) the data have been re-grossed following revision of the FRS grossing methodology to take account of the 2011 Census mid-year population estimates. New variable GROSS4 has been added to the dataset. Main Topics: Household characteristics (composition, tenure type); tenure and housing costs including Council Tax, mortgages, insurance, water and sewage rates; welfare/school milk and meals; educational grants and loans; children in education; informal care (given and received); childcare; occupation and employment; health restrictions on work; travel to work; children's health; wage details; self-employed earnings; personal and occupational pension schemes; income and benefit receipt; income from pensions and trusts, royalties and allowances, maintenance and other sources; income tax payments and refunds; National Insurance contributions; earnings from odd jobs; children's earnings; interest and dividends; investments; National Savings products; assets. Standard Measures Standard Occupational Classification Multi-stage stratified random sample Face-to-face interview Computer Assisted Personal Interviewing 2006 2007 ABSENTEEISM ACADEMIC ACHIEVEMENT ADMINISTRATIVE AREAS AGE APARTMENTS APPLICATION FOR EMP... APPOINTMENT TO JOB ATTITUDES BANK ACCOUNTS BEDROOMS BONDS BUILDING SOCIETY AC... BUSES BUSINESS RECORDS CARE OF DEPENDANTS CARE OF THE DISABLED CARE OF THE ELDERLY CARS CHARITABLE ORGANIZA... CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILD MINDERS CHILD MINDING CHILD SUPPORT PAYMENTS CHILD WORKERS CHILDREN CHRONIC ILLNESS CIVIL PARTNERSHIPS COHABITATION COLOUR TELEVISION R... COMMERCIAL BUILDINGS COMMUTING CONCESSIONARY TELEV... CONSUMPTION COUNCIL TAX CREDIT UNIONS Consumption and con... DAY NURSERIES DEBILITATIVE ILLNESS DEBTS DISABILITIES DISABILITY DISCRIMI... DISABLED CHILDREN DISABLED PERSONS DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATION EDUCATIONAL BACKGROUND EDUCATIONAL FEES EDUCATIONAL GRANTS EDUCATIONAL INSTITU... EDUCATIONAL VOUCHERS ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOWMENT ASSURANCE ETHNIC GROUPS EXPENDITURE EXTRACURRICULAR ACT... FAMILIES FAMILY MEMBERS FINANCIAL DIFFICULTIES FINANCIAL INSTITUTIONS FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD FREE SCHOOL MEALS FRIENDS FRINGE BENEFITS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION Family life and mar... GENDER GIFTS GRANDPARENTS GRANTS HEADS OF HOUSEHOLD HEALTH HEALTH SERVICES HEARING IMPAIRED PE... HEARING IMPAIRMENTS HIGHER EDUCATION HOLIDAY LEAVE HOME BASED WORK HOME OWNERSHIP HOME SHARING HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLD HEAD S OC... HOUSEHOLDS HOUSING HOUSING FACILITIES HOUSING FINANCE HOUSING TENURE INCOME INCOME TAX INDUSTRIES INSURANCE INSURANCE PREMIUMS INTEREST FINANCE INVESTMENT INVESTMENT RETURN Income JOB DESCRIPTION JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS LEAVE LOANS LODGERS MANAGERS MARITAL STATUS MARRIED WOMEN MARRIED WOMEN WORKERS MATERNITY LEAVE MATERNITY PAY MEDICAL PRESCRIPTIONS MORTGAGE PROTECTION... MORTGAGES MOTORCYCLES NEIGHBOURS Northern Ireland OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS ONE PARENT FAMILIES ONLINE BANKING OVERTIME PARENTS PART TIME COURSES PART TIME EMPLOYMENT PARTNERSHIPS BUSINESS PASSENGERS PATERNITY LEAVE PENSION CONTRIBUTIONS PENSIONS PHYSICALLY DISABLED... PHYSICIANS POVERTY PRIVATE EDUCATION PRIVATE PERSONAL PE... PRIVATE SCHOOLS PROFITS QUALIFICATIONS RATES REBATES REDUNDANCY REDUNDANCY PAY REMOTE BANKING RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT ROOM SHARING ROOMS ROYALTIES SAVINGS SAVINGS ACCOUNTS AN... SCHOLARSHIPS SCHOOL MILK PROVISION SCHOOLCHILDREN SCHOOLS SEASONAL EMPLOYMENT SECONDARY EDUCATION SECONDARY SCHOOLS SELF EMPLOYED SEWAGE DISPOSAL AND... SHARES SHIFT WORK SICK LEAVE SICK PAY SICK PERSONS SOCIAL CLASS SOCIAL HOUSING SOCIAL SECURITY SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIAL SERVICES SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPECIAL EDUCATION SPECTACLES SPOUSES STATE EDUCATION STATE HEALTH SERVICES STATE RETIREMENT PE... STUDENT HOUSING STUDENT LOANS STUDENTS STUDY SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS Social stratificati... TAXATION TELEPHONES TELEVISION LICENCES TELEVISION RECEIVERS TEMPORARY EMPLOYMENT TENANCY AGREEMENTS TENANTS HOME PURCHA... TERMINATION OF SERVICE TIED HOUSING TIME TOP MANAGEMENT TRAINING TRANSPORT FARES TRAVEL CONCESSIONS TRAVEL PASSES UNEARNED INCOME UNEMPLOYED UNEMPLOYMENT BENEFITS UNFURNISHED ACCOMMO... UNWAGED WORKERS VISION IMPAIRMENTS VISUALLY IMPAIRED P... VOCATIONAL EDUCATIO... VOLUNTARY WORK WAGES WATER RATES WIDOWED WORKING MOTHERS WORKING WOMEN property and invest...

Abstract copyright UK Data Service and data collection copyright owner.Pensioners' Incomes (PI) contains estimates of the levels, sources and distribution of pensioners' incomes. It also examines the position of single pensioners and pensioner couples, including any dependent children, within the income distribution of the population as a whole. This differs from Households Below Average Income (HBAI) (see SNs 5828 and 7196), where analysis is on a household basis, and includes the income of adults not in the pensioner unit but living in the same household. The PI undertakes a few extra steps beyond the FRS and HBAI data to derive pension income variables.The PI series is a key source of information used to inform Government thinking on relevant policies and related programmes and projects. Researchers and analysts outside the government use statistics and data to examine topics such as ageing, the distributional impacts of fiscal policies, and pensioner groups' income profiles. The PI estimates are usually based on a sample of around 7,000 adults over State Pension age, who reside in private households in the United Kingdom, taken from the Family Resources Survey (FRS). The gov.uk Pensioners' Incomes Statistics webpage contains annual reports, accompanying tables, research, and technical papers.PI data are also available from 1994/95 onwards via the Department for Work and Pensions (DWP) Stat-Xplore online tool.Secure Access PI dataThe Secure Access version of the PI series (SN 9257) is available from 2007/08 onwards, whereas the standard End User Licence (EUL) data (SN 8503) are available from 2008/09. Unlike the EUL versions, the ages of the head of household and spouse have not been top-coded at 80 years in the Secure Access version. Prospective users of the Secure Access version must fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available for PI in the Guidance on applying for the Family Resources Survey: Secure Access document. The Secure Access version of FRS is held under SN 9256, and the Secure Access version of HBAI is available under SN 7196. Latest edition information For the sixth edition (May 2024), data and documentation for 2022/23 have been added to the study. Main Topics:Variables cover household and demographic information, with incomes from a range of sources (pensions, benefits, savings and investments, and any earnings from work).

Estimates of median teacher pay, overall and breakdowns by teacher grade and school phase.

In Europe, the variation in average amounts of financial wealth per adult varied considerably as of 2022, from approximately ******* U.S. dollars in Switzerland to roughly ***** U.S. dollars in Azerbaijan. In Europe, the overall average financial wealth per adult as of 2022 was ****** U.S. dollars. In terms of private wealth, Europe held the second highest value in the world, after North America. What is financial wealth? Financial wealth, also known as financial assets or liquid assets can include wealth that an individual has in the forms of cash, stocks, bonds, mutual funds, and bank deposits. In addition to financial wealth, wealth can also be measured in other assets, called non-financial wealth. This includes physical assets, such as real estate, land, vehicles, jewelry, and art, just to name a few. Where do most wealthy individuals live? Individuals with a net worth over *********** U.S. dollars are called high-net worth individuals (HNWI). The United States was the home country to the highest number of HNWIs in 2021. China followed, although their number of HNWIs did not even reach ********* of the number in the United States. In Europe, Switzerland is the country with the highest average financial wealth per adult, but with its small population size, the number of HNWIs does not come near the numbers in the United Kingdom, Germany, France, and Italy – the European countries with the highest number of HNWIs. Considering Switzerland’s small population size, however, it is the country in the world with the highest proportion of millionaires.

The project adopted a broad approach, employing quantitative as well as qualitative methods. It covered both public and private forms of risk protection, and it analysed attitudes as well as actual behavior. First, we reviewed Britain's current 'mixed economy of welfare' in the aforementioned five key areas. We mapped the social programmes, occupational schemes and private options that have been available since the early 1990s. The second phase was based on quantitative data analysis, making use of the Family Resources Survey (FRS) and the ABI Risk and Protection Survey. We analysed the take-up of insurances and how it was influenced by attitudes and socio-demographic characteristics. Third, we conducted 61 qualitative interviews, where we explored personal risk management strategies of middle-income households from Scotland and England. The main result was a typology of risk management rationales that guide household economies. This stage also explored the ramifications of the recent financial uncertainties and economic downturn. Comparing England and Scotland, the purpose was to review Britain's current 'mixed economy of welfare' in key areas: unemployment, sickness, costs of higher education for children, retirement and infirmity in old age. The aim was to map the types of statutory protection against such risks and contingencies and examine changes in the scope of public provision. In parallel, we will examine the scope of non-statutory (occupational and personal) provision, investigating how 'private welfare markets' have developed since the early 1990s. The second phase is based on quantitative data analysis of household savings and investment behaviour in insurances and private market-based contracts for risk protection. Finally, via qualitative interviews, we explore personal risk management of socially and economically similar families from Scotland and England. This stage will also explore the potential ramifications of the most recent financial uncertainties and economic downturn. The project investigated risk management strategies of above average income households in England and Scotland. In the UK especially those with above average incomes are often assumed to have access to or seek private forms of risk protection, partly based on company provision or private voluntary protection complementing or substituting public social protection. The project investigated how households protect themselves against income loss due to unemployment, sickness or retirement and plan for expenses like long term care and higher education costs. We focused our analysis on how households balance these risks between public, occupational and private forms of protection. Moreover, we explored how the recent financial crisis has influenced the attitudes and behavior of households regarding their personal protection. The project sought to answer how and why some middle class households plan for contingencies and engage in private risk management strategies while others do not.