Information about sample sizes, response rates, household characteristics, and expenditure uncertainty metrics for the Living Costs and Food Survey.

People in Great Britain's experiences of and actions following increases in their costs of living, and how these differed by a range of personal characteristics.

This work looks at the spiralling cost of living and the challenges facing Londoners including the rising poverty levels in the capital. The latest update is dated August 2022. The report and public attitudes and behaviour charts (published 1 February 2022) were republished (7 April 2022) to correct a calculation error. This error was due to manual calculation.

Opinions of Londoners are at the heart of policy making at the Greater London Authority (GLA). City Hall conducts regular research with Londoners to provide evidence and insight into public opinion and behaviours, in order to support effective and impactful policy making and the development of strategies and programmes of work. These pages detail the latest research conducted by the GLA on public attitudes and behaviours in relation to the cost of living in 2022. All figures, unless otherwise stated, are from YouGov Plc on behalf of the GLA. The surveys were carried out online. The figures have been weighted and are representative of all London adults (aged 18+).

Background:
A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprised the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys. For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF, including links to published reports based on the survey, may be found by searching for 'Living Costs and Food Survey' on the ONS website. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.

History:
The LCF (then EFS) was the result of more than two years' development work to bring together the FES and NFS; both survey series were well-established and important sources of information for government and the wider community, and had charted changes and patterns in spending and food consumption since the 1950s. Whilst the NFS and FES series are now finished, users should note that previous data from both series are still available from the UK Data Archive, under GNs 33071 (NFS) and 33057 (FES).

Purpose of the LCF
The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data element. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources. Design and methodology The design of the LCF is based on the old FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes previously used. An additional level of hierarchy has been developed to improve the mapping to the previous codes. The LCF was conducted on a financial year basis from 2001, then moved to a calendar year basis from January 2006 (to complement the IHS) until 2015-16, when the financial year survey was reinstated at the request of users. Therefore, whilst SN 5688 covers April 2005 - March 2006, SN 5986 covers January-December 2006. Subsequent years cover January-December until 2014. SN 8210 returns to the financial year survey and currently covers April 2015 - March 2016.

Northern Ireland sample
Users should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.

Family Food database:
'Family Food' is an annual publication which provides detailed statistical information on purchased quantities, expenditure and nutrient intakes derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Energy and nutrient intakes are calculated using standard nutrient composition data for each of some 500 types of food. Current estimates are based on data collected in the Family Food Module of the LCFS. Further information about the LCF food databases can be found on the GOV.UK Family Food Statistics web pages.

Secure Access version
A Secure Access version of the LCF from 2006 onwards is available from the UK Data Archive under SN 7047, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including geographical variables with detail below Government Office Region, to postcode level; urban/rural area indicators; other sensitive variables; raw diary information files (derived variables are available in the EUL) and the family expenditure codes files. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version.

Occupation data for 2021 and 2022 data files
The ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.

Latest edition information

For the fourth edition (July 2025), an updated version of the DEFRA Family Food database has been added to the study. Tables covering a065p (Age of HRP by range - anonymised), a069p (Type of household - Anonymised) and a094 (NS-SEC 12 Class of HRP) have been added, and the variable EqIncDOp (Equivalised income (OECD Scale) - anonymised) has been added to the EFShousehold table. A guide to the additional variables has been added to the documentation.

Analysis of the proportion of the British adult population experiencing some form of depression in autumn 2022, including experiences of changes in cost of living and household finances. Analysis based on the Opinions and Lifestyle Survey.

Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.

Context

I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂

Content

The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares

The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.

Acknowledgements

The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables

Cover photo by Frans Ruiter from Unsplash

Inspiration

The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.

Description and Purpose This data companion pack is a resource intended to frame and be read alongside the linked rapid review of evidence for interventions to address the cost of living crisis (available on the Institute of Health Equity website) . The resource provides intelligence and context on the cost of living crisis in London only, while the accompanying rapid review of evidence for interventions to mitigate the impacts of the rising cost of living on London, contains the recommendations for action.​ This pack is intended to provide a high-level overview of the impacts of the costs of living crisis on London and the need Londoners have for support to deal with the cost of living crisis through intelligence available in the public domain.  This pack identifies how certain groups in the population already experiencing health inequalities are at greatest risk of poverty and worsening health due to the cost of living crisis. Given there are significant gaps in intelligence available, this pack also highlights these gaps and limitations in our understanding. Audience It will be useful for health leaders, analysts, officers, and policy makers from local and regional government, integrated care systems, NHS, academia, VCS organisations and partners across London to support their work to address the costs of living crisis by​ Advocating for the need for action to address the rising cost of living given impacts on health and health inequalities ​ Framing the context for the interventions highlighted in the linked rapid review of interventions​ Engaging communities ​ ​Development of this resource The Institute of Health Equity (IHE), Greater London Authority (GLA) Health, GLA City Intelligence Unit, Office for Health Improvement and Disparities London (OHID), Association of Directors of Public Health London (ADPH), and NHSE have collaboratively produced this report, as part of the Building the Evidence (BTE) programme of work The sources of data available and topics included have been identified from existing published data, working in partnership through iterative discussion The resource is provided in PDF and PowerPoint format to support colleagues in their work to There is no current plan for periodic updates of this resource, though this will be discussed on completion of this programme of work

The FCA presents the findings from a survey undertaken in January 2024 to understand the financial impact of the increased cost of living on adults across the UK. Key findings include: Since January 2023 there has been an improvement in the number of people finding it hard to manage the higher costs of living, although challenges remain for some groups. The cost of living continues to have an impact on the financial lives of some adults in the UK. In January 2024: 7.4m (14%) felt heavily burdened by their domestic bills and credit commitments 5.5m (11%) had missed any of these bills in the previous 6 months 14.6m (28%) were not coping financially or finding it difficult to cope 5.9m (11%) had no disposable income

Indicators from the Opinions and Lifestyle Survey (OPN) related to the impact of cost of living on behaviours and health, with breakdowns by different population groups.

Abstract copyright UK Data Service and data collection copyright owner. The Trussell Trust has commissioned 'Hunger in the UK', a multi-year large-scale quantitative and qualitative research project to help support their strategic vision of ending the need for food banks. The Trussell Trust has appointed Ipsos Mori to deliver this research. The project focuses on three elements, each intended to build on existing evidence from research that the Trussell Trust had previously commissioned:1. Exploring the life experiences and socio-demographics of people referred to food banks in the Trussell Trust network through quantitative research. This study includes a survey of people referred to food banks in the Trussell Trust network. The survey collected a broad range of demographic and socioeconomic status information at both the individual and household level.2. A survey of the general population of the United Kingdom to establish benchmarks of, and track over time, the level of destitution, food-aid use, and food insecurity amongst this population. This survey mirrors the survey of people referred to food banks, thereby allowing for a comparative analysis of both populations. 3. Qualitative research with people experiencing food insecurity and destitution to understand their lived experience and enrich understanding of the drivers of food bank use and the impact on individuals and families.**Currently, this study includes only the survey data from elements 1. and 2. of the project.The research aims to contribute to the Trussell Trust’s goal of ending the need for food banks across the UK by providing evidence on the drivers of food insecurity and the need to receive support from a food bank. It allows exploration of the groups of people who are more likely to need support, how these experiences differ across the countries of the United Kingdom and what factors may allow people to escape food insecurity.Further information may be found on The Trussell Trust's Hunger in the UK webpage. Main Topics: The survey data collected includesHousehold composition, activities and employment Attitudinal statements Health and personal support Life events and housing Finance Sources of support and cost of living Food insecurityDemographics Food Bank Survey: Questionnaires were distributed in food parcels by 99 food banks. These food banks were selected at random. General Population Survey: A random probability unclustered address-based sampling method. This means that every household in the UK has a known chance of being selected to join the panel. Self-completion 2022 AGE BASIC NEEDS CHARITABLE ORGANIZA... CHILDREN CONDITIONS OF EMPLO... COST OF LIVING COSTS Consumption and con... DEBILITATIVE ILLNESS DEBTS DISABLED PERSONS ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EMPLOYMENT EMPLOYMENT CONTRACTS ETHNIC GROUPS EXPENDITURE Equality FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD AID FOOD AND NUTRITION FOOD RESOURCES FOSTER CARE FREE SCHOOL MEALS GENDER IDENTITY HOMELESSNESS HOUSEHOLD BUDGETS HOUSEHOLD INCOME HOUSEHOLDS HOUSING BENEFITS HOUSING TENURE HUNGER ILL HEALTH INFORMAL CARE INTERNET ACCESS LIFE EVENTS MARITAL STATUS MENTAL HEALTH PERSONAL DEBT REPAY... POVERTY RELIGIOUS AFFILIATION RESIDENTIAL CHILD CARE SAVINGS SEXUAL ORIENTATION SHOPPING SOCIAL ATTITUDES SOCIAL PARTICIPATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIAL WELFARE Social welfare policy Society and culture UNEMPLOYMENT United Kingdom WAGES WELL BEING HEALTH inequality and soci... Identifier

Experimental statistics from the Student Cost of Living Insights Study (SCoLIS) in England. Includes information on the behaviours, plans, opinions and well-being of higher education students in the context of the increases in cost of living.

The UKFood dataset provides a statistical match of the Living Costs and Food Survey (LCFS) and the National Diet and Nutrition Survey (NDNS), combining food purchases and expenditure at the household level with nutrient intake at the individual level. It was produced as part of the Imperial College Business School Fiscal INCentives for Health improvement: repurposing consumption taxes on food (FINCH) project (funded by the National Institute for Health Research (NIHR)).

The LCFS is a nationally representative survey conducted by the Office for National Statistics (ONS), designed to collect information on household spending patterns across the entirety of the UK. It is widely used to produce official UK family spending and food consumption statistics. In particular, the Food Family module (conducted by the Department for Environment, Food and Rural Affairs) records participants' food and drink purchases in a two-week diary, documenting quantities, expenditures, and nutrients for over 500 types of food. The NDNS, funded by the Food Standards Agency (FSA) and conducted by NatCen and the University of Cambridge MRC Epidemiology Unit), gathers detailed information on food and nutrient intake from a representative sample of the UK population. This project employed statistical matching techniques to merge individuals from LCFS and NDNS, utilising a set of common variables in both datasets to create a new dataset containing household food expenditure and individual nutrient intake data. A predictive mean matching imputation technique facilitates the fusion of the two datasets that include samples from the same representative population and share a suitable subset of common variables for the 2018/19 fiscal year. The UKFood dataset encompasses a rich array of sociodemographic characteristics, including household size, ethnicity, tenure, marital status, sex, age, socioeconomic classification (SEC), UK regions, and the number of children in the household. Importantly, it also includes a range of nutrients at both individual and household levels (such as energy (kcal), protein, fat, carbohydrate, and sugar), enabling comparisons of nutrient purchases and intakes for a representative sample of the UK. This new dataset supports analyses of the impacts of fiscal policies, which necessitates an assessment of both household expenditure and finances, as well as individual nutrient intakes.

Documentation

The UKFood User Guide, Raw Variables Guide and ReadMe file are available via the Documentation tab. The Stata do-file information and codebook file are available for download alongside the data files, by registered UKDS users.

The Living Costs and Food Survey, 2013: Unrestricted Access Teaching Dataset is based on the Living Costs and Food Survey, 2013 (LCF), available from the UK Data Archive under SN 7702, and constitutes real data which are used by government, business and other organisations. The teaching dataset is a subset which has been subjected to certain simplifications and additions for the purpose of learning and teaching.

The main differences are:

• the number of variables has been reduced
• a reduced User Guide with codebook is provided
• some variables have been recoded to reduce the level of detail

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed. Disability monitoring (Module 363): this module was asked on behalf of the Department for Work and Pensions (DWP) which is interested in information on disability. The final two questions of the module ask about awareness of the Disability Discrimination Act. The module aims to identify the scale of problems those with long-term illnesses or disabilities have accessing goods, facilities and services. Due to the potentially sensitive nature of the data within this module, certain variables have been removed. A Special Licence version of Module 363 is held under SN 6544 and contains the following extra variables: M363_3M, M363_6AM, M363_6b, M363_7M, M363_26, M363_27, M363_28 and M363_29. Road pricing (Module MAE): this module was asked on behalf of the Department for Transport and asks for opinions on road pricing. Concessionary fares (Module MAL): this module was asked on behalf of the Department for Transport which is interested in collecting information about older people's awareness of concessionary bus fares in their local area. Older workers (Module MAW): this module was asked on behalf of the Centre for Research into the Older Workforce (CROW) and examines work-based training opportunities for older workers. Area impressions (Module MBK): This module was asked on behalf of the London Borough of Newham. The questions ask respondents for their impressions of areas in Great Britain. Multi-stage stratified random sample Face-to-face interview

Household Expenditure Survey.

In September 2023, Learning and Work was commissioned by the GLA to conduct research into the impact of the rising cost of living on London’s adult education landscape. GLA data shows that in 2023, 17% of Londoners were ‘struggling financially’, and another 30% were ‘just about managing’. Increased inflation also impacted the cost of doing business for London’s skills providers and Further Education (FE) workforce. This report and the summary report are based upon a survey, depth interviews and focus groups with learners, providers, and third sector organisations that provide and campaign for people on low incomes. The fieldwork took place between November 2023 and March 2024. The research provides an account of the impact of the rising cost of living on London’s FE sector.