ESDS Government

Usage of the Households Below Average Income Survey

This page contains information from users who have downloaded the HBAIdata and who have agreed to have their project information shared. You can opt to be included or to amend the details held for you by changing your project registration.

• The childcare puzzle: improving quality and affordability – Dr ludovica gambaro (London School of Economics and Political Science (LSE); University of London – CASE). December 2012

  This project examines existing UK data to enhance what we know about the quality and cost of care received by children from different social backgrounds.
  Other surveys used: FRS CHILDCARE AND EARLY YEARS PROVISION: PROVIDERS' SURVEY; 2010.

• Good Places Better Health – Mr Martin Taulbut. December 2012

  To support the itelligence strand of the Scottish Government Good Places Better Health Initiative. The prototype phase focuses on improving aspects of the environment which impact on the health of children aged 0-8, specifically asthma, mental health, unintentional injuries and obesity.
  Other surveys used: SSA SCS SMOKING; DRINKING AND DRUG USE AMONG YOUNG PEOPLE; 2010 SCOTTISH SCHOOLS ADOLESCENT LIFESTYLE AND SUBSTANCE USE SURVEY; 2006 SCOTTISH HOUSE CONDITION SURVEY; 2002 ROAD ACCIDENT DATA; 2010 ROAD ACCIDENT DATA; 2009 GHS BSA LFS SURVEY OF SUGAR INTAKE AMONG CHILDREN IN SCOTLAND; 2006 BRITISH SOCIAL ATTITUDES SURVEY; 1983-1998 : EMPLOYMENT DATA FRS.

• Poverty and Statistical Matching – Mr Rhys Davies (Cardiff University – Wales Institute for Social and Economic Research; Data and Methods). December 2012

  The purpose of the project is to explore whether statistical matching techniques can be used to assign household level indicators of poverty from the HBAI data set on to the LFS Household dataset.
  Other surveys used: LFS.

• Modelling the effect of futher cuts to benefits and tax credits – Mr Howard Reed. November 2012

  The aim of this project is to analyse the distributional impacts of further cuts to the "welfare" budget (benefits and tax credits), above and beyond the £18 billion per year of cuts already announced, that may be required to meet the government's fiscal targets in the 2015-16 and 2016-17 tax years.
  Other surveys used: FRS.

• Targeting initiatives on households in poverty – Dr Matt Barnes (National Centre for Social Research (NatCen) – Quantitative). October 2012

  The central purpose of this research study is to improve targeting of initiatives on households in poverty. It will do this by exploring the links between earnings, income, jobs and skills, to answer the following research questions: i) What are the key differences between low-income households and other households in terms of jobs and skills? How, if at all, do the jobs that are held by low-earners from households in poverty differ from those held by other low-earners? ii) What are the other labour market-related characteristics, attitudes and aspirations that differentiate working poor and working non-poor households?
  Other surveys used: FRS.

• Living wages – Ms Kayte Lawton. September 2012

  This project is exploring the role of living wages in supporting the living standards of low earners. We plan to analyse the link between low pay and household poverty, using data from the Family Resources Survey.

• Trends in earnings for low earners – Mr Matthew Whittaker. April 2012

  The Resolution Foundation exists to improve the outcomes for people on low to middle incomes. As part of our investigation of changes in the experiences of members of this group and the key role played by earnings, we are analysing trends in earnings amongst low earners.
  Other surveys used: IIS LFS TimeUse INSTITUTE FOR FISCAL STUDIES HOUSEHOLDS BELOW AVERAGE INCOME DATASET; 1961-1991 FRS EHS.

• Trends in earnings shares – Mr Matthew Whittaker. March 2012

  The Resolution FOundation exists to improve the outcomes for people on low to middle incomes. As part of our investigation of changes in the experiences of members of this group and the key role played by earnings, we will use panel data in order to analyse transitions into and out of low pay (i.e. between National Minimum Wage and the living wage).
  Other surveys used: INSTITUTE FOR FISCAL STUDIES HOUSEHOLDS BELOW AVERAGE INCOME DATASET; 1961-1991.

• Pensioner cohort income analysis – Mr Chris Giles. February 2012

  We would like to examine the relative incomes of pensioner cohorts compared with the rest of the population to examine why pensioner incomes are rising relative to the population as a whole and to examine the likely trends in future as new cohorts retire. The output would be articles in the Financial Times.
  Other surveys used: INSTITUTE FOR FISCAL STUDIES HOUSEHOLDS BELOW AVERAGE INCOME DATASET; 1961-1991.

• Regional quality of life – Dr Piculescu Violeta. February 2012

  Computation of indicators of quality life across European Union regions for the period 2005 - 2009. The indicators are organized in various dimensions such as: 1) income, material deprivation and housing; 2) education; 3) health; 4) social participation; 5) governance; 6) social cohesion; 7) paid work and working conditions.

• – Mr Howard Reed. January 2012

  This project will use microdata to look at the number of families with children in the UK who could currently be classified as "vulnerable" under several definitions of the term (for example: on low incomes, parents with no qualifications, parents with long-standing illnesses or disabilities, living in poor quality/overcrowded housing etc.) The project will look at the impact of the coalition government's tax and benefit changes on these vulnerable families and the impact of spending cuts on the services they use. The project will also use macroeconomic forecasts from the Office for Budget Responsibility to estimate the potential increase in the number of vulnerable families arising from the austerity measures implemented between 2010 and 2015.

• Social Policy in a Cold Climate – Mr Alex Fenton (London School of Economics and Political Science (LSE); University of London – Centre for Analysis of Social Exclusion). November 2011

  The SPCC programme will provide an overall assessment of the effects of changes to social policy and the welfare system, and of the recession, on income distributions and broader economic outcomes. It will look at direct effects of changes to health and social care, tax and welfare benefits, education and early years policy. The spatial analysis strand for which access to these ESDS Special Licence datasets is being sought involves an analysis of geographical variation in changes in spending and policy. It will assess how the economic and political climate changes the geography of poverty and inequality in the UK. An aim of the study is not only to measure change in spatial disparities in, for example, poverty rates, but also to connect observed changes in such aggregate area indicators to particular policy or economic processes.
  Other surveys used: FRS APS SEH EHS.

• Recent trends in top incomes in the UK – Professor Mike Brewer (Institute for Fiscal Studies (IFS) – Direct Tax and Welfare Sector). September 2011

  This paper will analyse trends in the level and composition of top incomes in the UK through the late 2000s and including the start of the financial crisis. It will mostly use SPI data.

• Disability demographics – Ms Cate Fisher. August 2011

  We plan to use this data to get a better idea of the profile of the disabled population in the UK. This will include a look at the age, gender, ethnicity, income and employment profile of this population, amongst other variables.
  Other surveys used: FRS LOS LFS.

• ChB for Shared Care – Mr Thomas Dyer. June 2011

  Examine statistics to determine whether ChB is being claimed for children in households, to determine whether in shared care situations, statistics from CSA are relevant.
  Other surveys used: FRS.

• Unbanked Data – Miss Helen Aynsley. June 2011

  For the past few years HM Treasury has been producing quarterly data on the number of 'unbanked' households in the UK (that is households without a bank account). As the Financial Inclusion Taskforce is coming to an end on 31 March 2011 Toynbee Hall is taking on this role and will be producing the unbanked data on a quarterly basis from the Family Resources Survey.
  Other surveys used: FRS.

• Social cohesion in Britain and Japan: a comparative study of two island economies – Dr Dimitris Ballas (University of Sheffield – Geography). May 2011

  The data will be used in the context of a research project aimed at comparing social and spatial inequalities between Britain and Japan at different geographical levels. In particular, the FRS data will be used to build measures of income and wealth inequality in Britain that will be compared with respective measures in Japan.
  Other surveys used: FRS.

• Severe Child Poverty (SCF) – Miss Anushree PAREKH. November 2010

  Commissioned by Save the Children; this research study attempts to measure severe child poverty in the UK by using a definition combining income and material deprivation. It examines the risk of severe child poverty by different characteristics like family type; tenure; age of parents; ethnicity etc.
  Other surveys used: FRS.

• Home Heat Helpline – Miss Anushree PAREKH. November 2010

  This study estimates the number of vulnerable households who are eligible for free CERT home insulation grants and other free help from their energy supplier in the UK.
  Other surveys used: APS FRS EHS.

• Research for Office for Fair Trading – Miss Anushree PAREKH. November 2010

  This report provides a review of how people on the lowest incomes are treated in a number of case study markets and considers whether people in low income groups have less access to certain 'enabling' products; such as bank accounts and the internet; which provide improved access to other products and whether they are; as a result; disadvantaged in other markets.
  Other surveys used: FRS EFS NTS.

• Effect of Fiscal Consolidation on Household Incomes – Dr Patrick Nolan. November 2010

  This study will develop a framework for assessing the effect of fiscal consolidation on household incomes. The study will model hypothetical policy changes to illustrate the strengths and weaknesses of different measures. This study will draw preliminary conclusions on the possible effect of Consolidation.
  Other surveys used: BSA FRS.

• calculating GINI coefficient for pensioners – Mr michael mcnally. September 2010

  Between 2007/08 and 2008/09 the proportion of pensioners in NI below the the 60% median household income increased. In contrast the UK pensioner poverty rate decreased. I want to check if the income inequality has also increased during this period.
  Other surveys used: FRS.

• Modelling wealth taxes – Ms Kayte Lawton. August 2010

  This project is looking at the feasibility of constructing a model of wealth in the UK among different family types using existing data sources. If we find that there is sufficient data on wealth ownership and transfers in the WAS and/or other household surveys, the next stage of the project will involve constructing the model. In order to do this; we need to draw on existing datasets containing information about wealth ownership and transfers within different households.
  Other surveys used: HSE FRS ELSA GHS EFS LFS.

• Income inequality and sustainability – Dr Olanrewaju Lawal (University of East London – Geo-information Studies). August 2010

  This data will be used to explore the relationship between income inequality and sustainable behaviour across the UK. This is suppose to shed light on the role played by income on household sustainability in the UK - are places with lower income inequality more green?

• Monitoring poverty and social exclusion – Mr Guy Palmer. July 2010

  Maintenance of 100 key indicators of poverty and social exclusion both for the UK as a whole and for regions within it. Subjects covered include income, work, education, health, housing, crime and neighbourhoods. See www.poverty.org.uk
  Other surveys used: LFS NICHS EFS HSE FRS APS LIW BCS SCS WHS Omnibus FES EHS NSW.

• ESRC Welfare Markets and Personal Risk Management in England and Scotland – Dr Alison Koslowski (University of Edinburgh – Social Policy). May 2010

  How and why do some households with above average income plan for contingencies and engage in private risk management strategies; while others do not? Employing quantitative as well as qualitative methods; the project covers both public and private forms of risk protection; and it analyses attitudes towards risks and contingency cover as well as actual risk management behaviour. Comparing England and Scotland; we aim to review Britain's current 'mixed economy of welfare' in key areas: unemployment; accidents; costs of higher education for children; loss of a home; retirement and infirmity in old age. We will 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.
  Other surveys used: FRS EFS.

• Household income stats notice – Mr Neville de Souza. February 2010

  To derive a average household incomes for the whole population for inclusion in a statistical notice on farm household incomes. This information is intended for inclusion in a National Statistics release.

• Changes in income poverty profiles over time – Professor Garry Barrett. December 2009

  I have developed a statistical method for comparing poverty gap profiles over time. The method requires micro (or individual household) level data on incomes; from two or more income distributions. The methods then formally test for 'dominance relations' between those distributions. I plan to illustrate these econometric tools using real world data from the UK HBAI series - which will also provide a useful point of comparison with existing research on economic poverty.

• The role of community-level factors in determining vaccine uptake – Dr giles greene (Cardiff University – Dept of Primary Care and Public Health). December 2009

  The requested data will be matched up to vaccine uptake take provided by the HPA combining the geographical data from the UK census to examine the role of community-level factors such as variations in neighbourhood social capital to explain uptake of vaccines, in particular MMR. The research aims to establish a link between the individual's perceptions of their community and their health choices for their children.
  Other surveys used: BHPS GHS WHS BCS70 UKHLS LIW.

• Estimating the number of deaf blind people in the UK – Dr Janet Robertson (Lancaster University – Division of Health Research). October 2009

  A review of existing estimates of the number of deafblind people in the UK by the Investigator for the Sponsor (SENSE).
  Other surveys used: FRS HSE GHS NTS SHES ELSA BHPS APS WHS LFS NICHS LIW MCS.

• New Family Structures – Professor Stephen McKay (University of Birmingham – Social Policy). September 2009

  An analysis of large-scale data to look at changes in family structures, and to compare with findings from the past. Key topics are lone parents, including lone fathers, and the effects of birth-spacing on employment (and potentially other outcomes).
  Other surveys used: APS SCS BHPS FACS LFS FRS BCS BSA MCS .

• Inequality Decompositions – Mr Mike Brewer (Institute for Fiscal Studies – Direct Tax and Welfare Sector). September 2009

  Project was commissioned by the National Equality Panel. The aim is to understand better changes over time in income and earnings inequality using a number of decomposition techniques.
  Other surveys used: FRS.

• Welsh Small Area Estimates of Income Deprivation Stage III – Dr Ben Anderson (University of Essex – Sociology). September 2009

  The work will explore the creation of yearly Local Authority level estimates of a range of deprivation indicators for 2004-5, 2005-6 and 2006-7 by combining appropriate household samples from the Welsh Labour Force Survey Boost (as a source of spatial constraints) with the Welsh sample of the appropriate Family Resources Surveys.
  Other surveys used: FRS APS EFS.

• Poverty in Wales – Professor David Gordon (University of Bristol – School for Policy Studies). July 2009

  I am a member of the Child Poverty Expert Group which provides policy advice to the National Assembly on eradicating child poverty forever by 2020. I wish to use the HBAI to compare the effect of policy in Wales with other UK regions.
  Other surveys used: FRS.

• Rents among workers and non-workers – Professor Stephen McKay (University of Birmingham – Social Policy). June 2009

  Housing Benefit is used to support both low income workers and those not in paid work. The amounts paid under recent policies, reflect the average levels of local rents. However it seems possible that some of those in work are opting for lower quality accommodation than those not in work, which might (over time) reduce incentives to work. This project will examine the overlap in rent levels between workers and non-workers, with a particular focus on the private rented sector.
  Other surveys used: FRS GHS.

• Savings Behaviour in Scotland – Mr Stewart Ritchie (The Actuarial Profession – Retired). March 2009

  I am researching the savings behaviour of people in Scotland - over time - within identifiable subgroups (e.g. by age or socio-economic grouping) - within geographical areas (e.g. Edinburgh cf Glasgow) - compared to other UK regions/UK/other countries
  Other surveys used: FRS SSA.

• Goodness of fit - A welfare based approach – Dr Sanghamitra Bandyopadhyay (University of London School of Economics – Economics). October 2008

  We will use individual level wages distribution as an empirical distribution against which we will test our statistical measure of goodness of fit.
  Other surveys used: LFS.

• Econometric and other analysis – Mr Giovanni Razzu (University of London School of Economics – Social Policy). August 2008

  Mostly econometric analysis to decompose poverty reduction into growth and inequality components following traditional approaches, e.g. world bank and ravalion. This could inform policy to address inequality. I need to look at different datasets to understand what equality information they contain, in terms of strands, e.g. gender, disability, ethnicity, sexual orientation, age etc and various dimensions, such as health, education, income, social life etc.
  Other surveys used: FRS SEH GHS NTS BSA FACS LFS APS BCS.

• Measuring equality – Dr Tania Burchardt (University of London School of Economics – CASE). July 2008

  The new Commission on Equality and Human Rights will monitor equality in Britain by gender, ethnicity, disability, age, sexual orientation and religion/belief. This project is developing a framework for measurement for the CEHR.
  Other surveys used: LFS BSA HSE BCS FRS BHPS FES.

• Inequality and poverty: 2007-2009 – Mr Mike Brewer (Institute for Fiscal Studies – Direct Tax and Welfare Sector). July 2008

  Project to look at aspects of poverty and inequality in the UK.
  Other surveys used: FES FRS.

• Understanding London's labour market and population – Ms Lorna Spence (Greater London Authority – Data Management and Analysis Group). June 2008

  This research project is an ongoing project in the areas of demographic, labour market and social exclusion analysis. Data are regularly required to inform the development, implementation and monitoring of numerous GLA strategies. The key areas this project covers includes:: - London's demography - The level and nature of labour market participation in London - Profiling groups most at risk of income poverty - Profiling groups at risk of labour market exclusion - Examining factors associated with exclusion - Equalities and the labour market - Immigration and the labour market - Demographic and labour market trends The team also has a monitoring remit across key strategy areas, including: social inclusion (e.g. child poverty), planning, sustainability, health, economic development, equalities, refugee integration and housing.
  Other surveys used: LFS FRS APS EFS HSE BCS GHS.

• Modelling charges of charities – Mr Graham Stark. May 2008

  This is a project for the Office of The Scottish Charitable Registrar (OSCR) to model the affordability of charges made by Scottish Charities.

• Analysis of income distribution – Professor Stephen Jenkins (University of Essex – Institute for Social and Economic Research). May 2008

  I have used HBAI data files in the past, when they were supplied by the DWP HBAI team directly. I wish to compare these "revised public use files" with my holdings for past years, to consider issues of e.g. rounding. This forms part of my on-going analysis of the UK income distribution, and comparison of HBAI distributions derived from the FRS, with those distributions derived from other UK data sources.
  Other surveys used: BHPS.

• Child Benefit – Dr Alvaro Angeriz (University of Cambridge – School of Business). 0000

  We will study the impact that the change of status of child benefits to income-test benefits would have on poverty indices.
  Other surveys used: FRS.

• Monitoring Poverty and Social Exclusion – Tom MacInnes. 0000

  Monitoring Poverty and Social Exclusion is an annual report New Policy Institute carries out for the Joseph Rowntree Foundation. It containss analysis of statistics relating to low income; unemployment; homelessness and education; among other issues. As well as presenting the data in a clear; understandable form; it also carries some commentary on the policy implications of the findings.
  Other surveys used: BCS FRS BSA LFS HSE NTS SEH.

• Monitoring poverty and social exclusion – Miss Anushree PAREKH. 0000

  Analysis of trends in low income by various characteristics like family type, age, gender, ethnicity, work status etc. to form an annual report that is released in the public domain.
  Other surveys used: LFS FRS HSE BHPS NTS EFS SEH APS Omnibus GHS BCS.

• Minimum Income Standard for Britain – Ms Jacqueline Beckhelling (Loughborough University – Dept of Social Sciences). 0000

  This project aims to develop a minimum income standard for Britain. It blends elements of the two main methodologies that have been used to develop budget standards in Britain in recent years.
  Other surveys used: EFS FRS.

• ONS omnibus legal service use profile comparison – Miss Victoria Brown. 0000

  This was a survey of adults aged 16+ in England and Wales who had used legal services. Weighting was applied to match profile of legal service users from the ONS Omnibus in terms of gender/age, GOR and use of services. What I need to do is profile the weighted sample and comment on how it compares with the population of England and Wales.
  Other surveys used: FRS LFS.

• Understanding the social impacts of UK climate policies – Dr Demi Patsios (University of Bristol – Policy Studies). 0000

  This project aims to provide the analysis and information necessary to underpin socially just responses to climate change in the UK, by revealing in detail the distributional consequences of a wide-range of current, proposed and possible future policies designed to mitigate UK household energy and transport-related carbon emissions.
  Other surveys used: NTS FRS EFS.

• Rapid Impact Assessment: Housing Benefit Cuts and the Private Rental Market (PRS) – Mr Alex Fenton (University of Cambridge – Land Economy). 0000

  A range of changes the calculation Housing Benefit paid to private tenants are being brought in from April 2011 onwards. In many cases these will mean reductions in the amounts paid to tenants to meet their rent. This research will model the effect of such reductions on household income; and provide indications of the number; location and characteristics of households who will move below poverty measures as a result. The study will look at the effects of planned changes to the way that Local Housing Allowance / Housing Benefit is calculated. The government's impact assessment shows from administrative data that around two-thirds of LHA/HB claimants in the private rented sector will receive smaller payments; and the study is intended to identify measures which will mitigate or reduce harmful outcomes for claimants and housing markets. Therefore; it will look further at the effects on current claimants; and on the implications for the development of the private rented housing sector. A major part of the former aim will be met by modelling the effects of the changes on the whole budgets of household / benefit units. This will be used to describe the numbers and broad characteristics of households who are likely to be unable to continue to afford their current rented accommodation.
  Other surveys used: FRS SEH LFS.

• Poverty and Poverty Gap Profiling – Dr Martin Evans (University of Oxford – Dept of Social Policy and Social Work;). 0000

  Produce a ‘Synthesis Report’ of the Child Poverty Pilots currently in the field in England. Analysis will enable the underlying child poverty profiles of the treated families in such pilots to be described and illustrative figures given for national numbers of families of this type; and of the potential gains from the pilot treatments in consequent reductions in child poverty. The analysis will look at three measures of poverty: 2 headcount measures (of risk and shares as given in published HBAI tables) and additionally ‘poverty gap’ measures that look at the income differences of the poor and near poor to the poverty line. This last type of measure is currently not published. New sub-groups of the population of households with children will be analysed to match the target groups and participation profiles of the Child Poverty Pilots ( for example; of ‘teen parents’ aged 20 or less; and of ‘recently separated’ parents) The Child Poverty Unit have commissioned a Synthesis Report of the Child Poverty Pilots from the applicant and have agreed that this analysis of FRS/HBAI would be a useful and cogent addition to the synthesis evaluation. At the moment each evaluation of every pilot measures outcomes according to its own aims and objectives and this analysis will enable illustrative synthesis results to be shown across all of the pilots. The analysis will be published in the final Child Poverty Pilot Synthesis Report in summer of 2011.
  Other surveys used: FRS.

• Distributional analysis – Mr Ray Rusike. 0000

  Use in analysing the distributional impact of indirect tax policy changes. The work relates to supporting the upcoming PBR 2009 and follow up work to Budget 2010 work.
  Other surveys used: EFS SEH Omnibus FRS.

• Pension Trends - Chapter 12: Household Pension Survey – Mr Guled Guled (Office for National Statistics (ONS) – Household and Labour Market). 0000

  To produce analysis of household pension resources in 2007-08 for the Office for National Statistics online publication Pension Trends: Chapter 12; including breakdowns into state pension and private pension resources. The 2008 edition of Pension Trends Chapter 12 uses Family Resources Survey (FRS) data from 2006/07 to provide an analysis of pensioner income by age of pensioner and the type of income they are receiving. The analysis splits the ages of pensioners into 5 year age bands and look at private and state pension income. FRS is the only available source at present that can identify state and private pension income. We want to update this analysis using FRS datasets for 2007/08 and 2008/09. Chapter 12 is part of a wider programme of analysis published by ONS in the form of Pension Trends; available at: www.statistics.gov.uk/pensiontrends The analysis focuses on the older members of households. The end user licence does not allow detailed analysis of older individuals because the ages are grouped into bands beyond age 80. Therefore we are requesting Special Licence Access. Pension Trends Chapter 12: Household pension resources (an ONS publication with National Statistics status).
  Other surveys used: FRS.

• 2007/08 Income measure – Mr david collinge. 0000

  To support our understanding of widening particpation in HIgher Education; each year we calculate an income measure. The family resources survey is used to produce an income threshold. Using this threshold; we can identify the number of students who come from the lowest quartile of the income distribution.
  Other surveys used: FRS.

• Affordable rent research – Mr Oliver Jones. 0000

  To track affordability / household spend trends in London. Particularly interestd in analysis of income by tenure to help support work we are undertaking to derive a new Affordable Rent model for social housing across the capital.
  Other surveys used: FRS.

• Means Testing Study – Mr Martin Malinowski. 0000

  My request relates to a National Audit Office Study on Means-Testing. I would like to conduct detailed analysis of the distributional effects of means-testing on the survey sample, with a view to assessing the success of means-tested benefits at targeting transfers to low-income groups.
  Other surveys used: FRS LFS.

• Research purposes – Mr Sarju Mistry (Office for National Statistics (ONS) – Social Surveys). 0000

  To analyse the level of response for a scottish survey and related matters regarding scottish crime. To analyse the crime statistics within Scotland and the relevant police force areas.
  Other surveys used: SCS FRS.

• Corpus linguistics – Dr Michael Pace-Sigge (University of Liverpool – English). 0000

  Research into usage patterns of spoken UK English. This requires to gain a large variety of natural spoken language material. The reason I would like to have these datasets is there are only small corpora of transcribed speech available (whereas it is is very easy to get or make a corpus that consists of written texts). As my main area of research is spoken English I am trying to assemble as many transcribed exchanges as possible in order to create a new, large compilation that can give a varied reflection of spoken English.
  Other surveys used: GHS FRS.