An introduction to the linked ASHE-2011 Census dataset - F2F



Organised by:



Lucy Stokes


Entry (no or almost no prior knowledge)


Sandra Gogacz
University of Manchester


View in Google Maps  (N1 9RL)


National Council for Voluntary Organisations
Society Building
8 All Saints Street


As part of the Wage and Employment Dynamics project, funded by ADR UK, data from the Annual Survey of Hours and Earnings (ASHE) has been linked to data from the 2011 Census for England and Wales. This short course will give users a thorough introduction to the linked ASHE-Census data with a focus on practical usage.

The course covers:

  • An overview of the linked ASHE-2011 Census dataset, including reasons for using the data, the contents of the dataset, and information about its construction.

  • A case study example using the linked dataset.

  • Hands-on examples using a synthetic, simplified version of the linked data.

  • Information on practical aspects such as how to apply for access to the data.

By the end of the course participants will:

  • Understand the content of the linked ASHE-2011 Census dataset and how this may be useful for research and analysis.
  • Have a more detailed understanding of how to use the dataset and important factors to bear in mind for analysis, such as the use of weights.
  • Gained practical experience in working with a synthetic, simplified version of the data.
  • Understand the practicalities of accessing and working with the ASHE-2011 Census dataset.

Course format:

This is an in-person course. Arrival from 9.15am for a 9.45am start and finish at 5pm with an hour for lunch and refreshment breaks in the morning and afternoon. Please note that lunch is not provided.


Ideally participants would have a basic understanding of Stata, but this is not essential in order to be able to participate in the course.

Equipment and software:

Participants should bring their own laptop with either Stata (the default package to be used in the course), or an alternative statistical software of their choosing installed.

The course will include two practical exercises. Course materials for these exercises will be provided in Stata.

Participants who do not have access to Stata, are welcome to work in an alternative statistical software package of their choice (e.g. R, SPSS or Python), and the exercises are not dependent on the use of STATA – the data files themselves will be available in CSV format - but support will not be provided for any alternative software used.


The course will be delivered by Lucy Stokes. Lucy has been a member of the Wage and Employment Dynamics research team since the start of the project in 2019, and part of the team that created the linked ASHE-2011 Census data. She has more than twenty years research experience and significant expertise in working with complex survey and administrative datasets.

Preparatory reading:

No required reading, but If participants wish to undertake some preparatory reading, then they would find the following useful:

Data Explained - ASHE-2011 Census

ASHE-2011 Census user guide:



The fee per teaching day is £35 per day for students / £75 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £250 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:


Greater London


Quantitative Data Handling and Data Analysis, Data linkage, Census, Annual Survey of Hours and Earnings (ASHE)

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Data linkage

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