UK Data Service data catalogue record for:
|Title:||Annual Survey of Hours and Earnings, 1997-2017: Secure Access|
|Alternative title:||ASHE; New Earnings Survey; NES|
|Depositor:||Office for National Statistics|
Office for National Statistics
Office for National Statistics
Office for National Statistics
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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:
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 the eleventh edition (January 2018), a revised annual data file for 2016 and a provisional annual data file for 2017 have been added.
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).
|Time period:||1997 - 2017|
Government Office Regions
Westminster Parliamentary Constituencies
Welsh National Assembly Electoral Regions
Scottish Parliamentary Constituencies
Health Authority Regions
Primary Care Trusts
NHS Care Trusts
Local Authority Districts
Training and Enterprise Councils
Travel to Work Areas
Super Output Areas (Lower Layer)
Super Output Areas (Middle Layer)
Clinical Commissioning Groups
Scottish Electoral Regions
|Kind of data:||
Individual (micro) level
Working individuals aged from 16 years residing and working in the UK in 1997-2017.
Simple random sample
One per cent sample of individuals from National Insurance records
|Number of units:||Approximately 140,000-185,000 individuals per year|
|Method of data collection:||
|Weighting:||Weighting used. See documentation for details|
|ABSENTEEISM||AGE||ARRANGEMENT OF WORKING TIME|
|BUSINESS OWNERSHIP||COLLECTIVE AGREEMENTS||COMMUTING|
|EMPLOYMENT HISTORY||EMPLOYMENT||FINANCIAL INCENTIVES|
|FREQUENCY OF PAY||FULL-TIME EMPLOYMENT||GENDER|
|HOURS OF WORK||INDUSTRIES||LOCATION OF INDUSTRY|
|PART-TIME EMPLOYMENT||PENSION CONTRIBUTIONS||PLACE OF RESIDENCE|
|PRIVATE PENSIONS||PRIVATE SECTOR||PUBLIC SECTOR|
|SHIFT WORK||STAKEHOLDER PENSIONS||SUPERVISORY STATUS|
|TEMPORARY EMPLOYMENT||UNITED KINGDOM||WAGES|
|Date of release:|
|First edition:||25 March 2011|
|Latest edition:||18 January 2018 (11th Edition)|
|Copyright:||Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queen's Printer for Scotland|
Registration is required and standard conditions of use apply. The depositor may be informed about usage. Controlled data requirements and conditions also apply. Further information is available from Access Secure Lab.
In addition, the Service is required to request explicit permission from the data owner prior to providing the researcher with access to the data
To apply for access, users should use the Download/Order link on this page and will be directed to the relevant forms as part of the ordering process.
|Availability:||UK Data Service|
|Contact:||Get in touch|
|Title||File Name||Size (KB)|
|ASHE Areas vs. Local Authority Districts (effective from 1 April 2009)||6689_ashe_areas_vs_local_authority_districts.xls||70|
|Variable Catalogue, 1997-2016||6689_ashe_variable_catalogue_1997_2016.xls||87|
|Guidance and Methodology Information||6689_guidance_and_methodology.pdf||2648|
|Quality and Methodology Information Reports||6689_quality_methodology_information_reports.pdf||303|
|Questionnaires 2004 - 2014||6689_questionnaires_2004_2014.pdf||666|
|UK Data Archive Data Dictionary||6689_ukda_data_dictionary.pdf||909|
|User Guide, 1997 - 2007||6689_userguide_1997_2007.pdf||303|
|User Guide, 2006||6689_userguide_2006.pdf||236|
|User Guide, 2008||6689_userguide_2008.pdf||308|
|User Guide, 2009||6689_userguide_2009.pdf||311|
|User guide, 2012||6689_userguide_2012.pdf||3650|
|User Guide, 2013||6689_userguide_2013.pdf||429|
|User guide, 2014||6689_userguide_2014.pdf||3842|
|User guide, 2017||6689_userguide_2017.pdf||328|
|Study information and citation||UKDA_Study_6689_Information.htm||6|
By principal investigator(s):
Resulting from secondary analysis:
Riley, R. (2010) Industry knowledge spillovers: do workers gain from their collective experience?, National Institute Discussion Paper No.353, London: NIESR. Also published as LLAKES Research Paper No. 17.
Riley, R. and Robinson, C. (2011) UK economic performance: How far do intangibles count?, FP7 Innodrive Working Paper No. 14, March.
Riley, R. and Robinson, C. (2011) Agglomeration spillovers from intangible capital: An analysis of UK city regions, FP7 Innodrive Working Paper No. 15, March.
Piekkola, H. et al. (2011) ‘Firm-level intangible capital in six countries: Finland, Norway, the UK, Germany, the Czech Republic and Slovenia’ in H. Piekkola (ed.) Intangible capital – driver of growth in Europe, Proceedings of the University of Vaasa, Report No. 167.
Williams, M. (2011) The changing structure of occupations and wage inequality, D.Phil. dissertation, University of Oxford.
Williams, M. (In press) ‘Occupations and British wage inequality, 1970s-2000s’, European Sociological Review.
Bryson, A., Forth, J. and Stokes, L. (2012) 'Incentive pay: how important is it and does it work?', paper presented to the 9th Annual Labour Relations Conference, London Stock Exchange, 24 October.
Sanchis-Guarner, R. (2012) Driving up wages: the effects of road construction in Great Britain, SERC Discussion Paper SERCDP0120, London School of Economics and Political Science LSE Research Laboratory, see http://rlab.lse.ac.uk/_new/publications/abstract.asp?index=4135
Gibbons, S., Lyytikainen, T., Overman, H., Sanchis-Guarner, R. (2012) New road infrastructure: the effects on firms, SERC Discussion Paper SERCDP0117, London School of Economics and Political Science LSE Research Laboratory, see http://rlab.lse.ac.uk/_new/publications/abstract.asp?index=4102
Riley, R. and Robinson, C. (2013) 'The role of intangible capital in productivity growth – a British city region perspective', paper presented at the ZEW Workshop on Intangible Assets, Mannheim, Germany, 2-3 May, 2013.
Riley, R. and Robinson, C. (2013) 'Intangibles and business performance: evidence from the UK', paper presented at the EU FP7 e-Frame Workshop on Intangible Assets ZEW, Mannheim, Germany, 2-3 May, 2013.
Blundell, R., Crawford, C. and Jin, W.(M.) (2013) What can wages and employment tell us about the UK's productivity puzzle?, IFS Working Papers, W13/11, June. London: Institute for Fiscal Studies. doi: 10.1920/wp.ifs.2013.1311. Retrieved August 19, 2013 from http://www.ifs.org.uk/wps/wp201311.pdf
Crawford,C., Jin, W.(M.) and Simpson, H. (2013) 'Productivity, investment and profits during the Great Recession: evidence from UK firms and workers', Fiscal Studies, 34(2), pp.153-177.
Cribb, J. and Joyce, R. (2015) 'Earnings since the recession', in C. Emmerson, P. Johnson and R. Joyce (eds.) The IFS Green Budget, London: Institute for Fiscal Studies (IFS), February. Retrieved December 17, 2015 from http://www.ifs.org.uk/publications/7543
Cribb, J., Disney, R. and Sibieta, L. (2015) The public sector workforce: past, present and future, IFS Briefing Note BN 145. Retrieved December 17, 2015 from http://www.ifs.org.uk/publications/7113 . doi:10.1920/bn.ifs.2014.00145
Cribb, J., Emmerson, C. and Sibieta, L. (2015) Public sector pay in the UK, IFS Report R97. Retrieved December 17, 2015 from http://www.ifs.org.uk/publications/7395
Cribb, J. and Emmerson, C.(2015) Workplace pensions and remuneration in the public and private sectors in the UK, IFS Briefing Note BN 151. Retrieved December 17, 2015 from http://www.ifs.org.uk/publications/7396
Crawford, R., Emmerson, C. and Disney, R. (2015) The short run elasticity of National Health Service nurses' labour supply in Great Britain, IFS Working Paper WP15/04. Retrieved December 17, 2015 from http://www.ifs.org.uk/uploads/publications/wps/WP201504.pdf
Cribb, J. and Emmerson, C. (2016) 'Workplace pensions and remuneration in the public and private sectors in the UK', National Institute Economic Review, 237, R30-R37.
Williams, M.T. (2017) 'Occupational stratification in contemporary Britain: occupational class and the wage structure in the wake of the Great Recession', Sociology.
Cribb, J., Joyce, R. and Keiller, A.N. (2017) Minimum wages in the next parliament, IFS Briefing Note (BN205), London: Institute for Fiscal Studies. Retrieved June 27th, 2017 from https://www.ifs.org.uk/publications/9205
Bryson, A. and Forth, J. (2017) Wage growth in pay review body occupations, Report to the Office of Manpower Economics. Retrieved September 25th, 2017 from https://www.gov.uk/government/publications/wage-growth-in-pay-review-body-occupations
Cribb, J., Hood, A., Joyce, R. and Norris Keiller, A. (2017) Living standards, poverty and inequality in the UK: 2017, IFS Report (R129), London: Institute for Fiscal Studies.
Retrieved September 25, 2017 from https://www.ifs.org.uk/publications/9539
Schaefer, D. and Singleton, C. (2017) Real wages and hours in the Great Recession: evidence from firms and their entry-level jobs, CESifo Working Paper No. 6766, November. Retrieved December 8th, 2017 from https://www.cesifo-group.de/ifoHome/publications/working-papers/CESifoWP.html
Schaefer, D. and Singleton, C. (2017), Recent changes in British wage inequality: evidence from firms and occupations, No 459, 2017 Meeting Papers, Society for Economic Dynamics. Retrieved December 8th, 2017 from https://econpapers.repec.org/paper/redsed017/459.htm
Cribb, J., Joyce, R. and Keiller, A.N. Will the rising minimum wage lead to more low-paid jobs being automated?, [IFS Observation blog post], 4 January 2018. Retrieved 22 March 2018, from https://www.ifs.org.uk/publications/10287