Consumer Data Research Centre


There is an abundance of data on the population, which are routinely collected by public and private organisations. These data are crucial for decision-making processes in numerous areas such as urban management, retail, transport planning and informing government policies.



Explore our interactive maps on ‘Stability & Churn‘ (otherwise defined as house occupation turnover) and ‘Deprivation Change‘.


Ethnicity Estimator

The Ethnicity Estimator (EE) classifier is based on research which uses names data assembled by the Consumer Data Research Centre (CDRC). The data are taken from consumer sources and from the Office for National Statistics (ONS), which securely host data from England & Wales. Users can apply to access the software for use in their own research.



The Named profiling tool is one of our most popular, mapping relative concentrations of particular surnames, in the UK. You can map your own surname to see where in the UK it is most popular.



Worldnames: We have analysed large databases of name records from across the world and made these available for users to explore.



To demonstrate the value of our data holdings,  researchers at our host universities are currently undertaking Big Data exemplar research projects in each of our key research themes.

The Financial Lives Survey – Consumer Research Project

The Consumer Data Research Centre (CDRC) assisted The Financial Conduct Authority (FCA) in a major consumer research project into consumer needs, attitudes and behaviour to ensure the consumer perspective is reflected in regulatory decisions. This case study explores outcomes arising from the project.

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FCA Financial Lives Survey dataset – apply to access


Representing Population Dynamics from Administrative and Consumer Registers

There is an abundance of data on the population, which are routinely collected by public and private organisations. This case study seeks to derive representative metrics of population dynamics through new forms of data.

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Consumption Patterns of the UK Youth Population

Younger consumers are an active market force and a large proportion of a family’s annual income is spent on fulfilling youth needs. To contribute to the understanding of youth consumer habits, this case study seeks to understand the youth cohort’s consumption patterns better.

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Enumerating the Ambient Population in the Context of Crime: A Comparative Study of ‘Contemporaneous’ and ‘Traditional’ Data Sets

Population counts have traditionally been derived from decennial censuses, but these have tended to be limited in their ability to capture daily fluctuations in population size.  This case study seeks to accurately represent this ‘ambient population’.

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New methods in the spatial analysis of populations

This research generalises results regarding Geographic Sensitivity of socio-spatial patterns by examining the degree of homogeneity of England’s neighbourhoods to national standards. This research case study was first presented at the Association of American Geographers Annual Meeting in Chicago, April 2015.

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An Area Classification of Consumer Vulnerability in the UK

This work allows for an assessment of the risk of consumer vulnerability at a fine spatial scale, giving an indication to companies where practices and policy may need to be adapted so as not to exploit the vulnerable individuals living in these areas.

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View Map



CDRC’s Masters Research Dissertation Programme instigates several masters led research projects which seek to tackle topical problems put forward by industry. We have included two examples of population specific projects below. You can also view the full selection of extended abstracts which summarise the research undertaken by students who participated in previous years of the programme.


Youths Spending & Geodemographics

This study seeks to analyse youths’ consumption habits by using the data from a youth banking card provider.

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How Open Data Resources can be used to define a Composite Measure of Cultural Identity & Heritage for England and Wales

This project identified the major spatial traits in ethnic identity in England and Wales using a range of cultural and heritage indicators available as open data sources.

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