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New datasets from growing partnership with MIAC Analytics

The CDRC are pleased to announce the acquisition of new datasets and a developing data partnership with MIAC Analytics.

The House Price Index and the Rental Index contain more than 25 years of monthly county-level data from January 1995 to the present. The data is available in a research-ready state, having been compiled and cleaned by MIAC Analytics. It will be of particular interest to researchers, including Masters students, who are examining questions relating, for example, to movements in the housing market, gentrification of neighbourhoods and geospatial economic indicators. 

The datasets can be found in the CDRC Data Store.  Both are Safeguarded data – access is restricted because of license conditions, but data are not considered ‘personally-identifiable’ or otherwise sensitive. Access is available via a remote service with registration and project approval requirements.

Professor Mark Birkin, CDRC Director, said: “CDRC is delighted to announce these latest data acquisitions arising from our long-standing collaboration with MIAC.  The data represent a timely and welcome addition to the CDRC’s data store, increasing the diversity of our data assets across our core research themes of urban analytics, sustainable and ethical consumption, and healthy lifestyles.  We look forward to continued growth in this partnership, supporting new forms of social research and the development of skills and capacity for both business and the academic sector.”

MIAC Analytics is an independent asset valuation service provider, specialising in property analytics, behavioural modelling, model validation and stress testing.  Established in 1989, their head office is in New York with the UK & Europe office based in Twickenham, working from there in over 16 countries.  They also have an office in Bangalore, India.

David Pickles, Managing Director at MIAC, said: “MIAC place great value on the relationship we already have with CDRC, having previously provided our Property Analytics for use within their Academic Research function. As we look to the future, we plan to explore more ways to work together to address data and modelling challenges such as quantifying climate change risks to the financial system. We are also keen to further our engagement with CDRC in terms of internships – a fruitful way to enhance student experience and career opportunity for students interested in coming into this market.”