Dr Mark Birkin and his colleagues at the University of Leeds developed the technology using data recorded at the 2001 census to build a model of the whole UK population, but with personal details omitted.
The Modelling and Simulation for e-Social Science project is funded by the National Centre for e-Social Science.
"We are building a core model which represents the whole of the UK at the level of [synthetic] individuals and households with many attributes and behaviours," said Dr Birkin.
Data about these attributes, such as car ownership, house prices and use of health, education, transport and leisure facilities, is held by different agencies in different locations and often in different formats.
"Historically, people have assembled data on a single PC or workstation. Our project provides exciting opportunities to access multiple databases from remote virtual locations, making it possible to develop highly generic simulation models which are easy to update," said Dr Birkin.
According to the researchers, the model can be projected into the future to explore the effect of different demographic trends, and to test the consequences of policy decisions.
"We can profile populations area by area and forecast attributes such as health status, employment and car ownership 10 or 20 years ahead," explained Dr Birkin.
"In the future we will be able to project the effects of policy change and help policymakers evaluate the impact of their decisions."
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