HCA selects firm to deliver housing market intelligence
Published by Anonymous for 24dash.com in Housing and also in Central Government
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The Homes and Communities Agency has appointed a company to provide it with property intelligence data to support the development and provision of its £4 billion capital investment programme.
Landmark Information Group, a supplier of digital mapping, property and environmental risk information, will supply the HCA with house price index data, average rental price data, bedroom counts and historic transaction information.
The HCA hopes that by analysing Landmark Analytics' data it will have complete transparency of the housing market in order to make better informed decisions for its delivery programmes.
Landmark Analytics’' property database – which is used by HMRC and in models approved by Fitch Ratings and Standard & Poor’s – provides market intelligence and includes 90 million property images, 20 million sold price records, 18 million historic estate agency listings, two million energy performance certificates, three million floor plans, plus bedroom numbers, estimated internal area and council tax banding information.
The HCA's Simon Short said: “The HCA requires robust housing market data to support its decisions. Landmark Analytics met our needs with quality of data provision to support our evidence base. The Panel assessed Landmark Analytics against a set of criteria and agreed that it provides the best quality and value for housing market data provision that meets our needs.”
The HCA has a capital investment budget of around £4bn for the period 2012-15.
Carole Oliver, Landmark's business development manager, said: “We are delighted to be working in partnership with the HCA, providing essential, robust property intelligence to inform the development and delivery of key programmes. Landmark Analytics will provide vital evidence and market transparency on which the agency can base its decision-making processes for the provision of affordable and sustainable housing delivery.”
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