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Click here to purchase the latest detailed Roy Morgan Automotive Early Indicators Report An estimated 611,000 Australians intend to buy a new car in the next 12 months (excluding Fleet, Government and Rental Buyers) according to the Roy Morgan Automotive Early Indicators for May 2009. This is below the strong April 2009 figure of 666,000 but remains significantly above the five year low of 489,000 recorded in December 2008. The number of Australians intending to buy a new car in the next four years is 2,057,000, up on the April 2009 figure of 2,016,000.
Norman Morris, Industry Communications Director, Roy Morgan Research, says:
For detailed profiles of Intending New Car Buyers or the Roy Morgan Automotive Early Indicators Report - which provides an understanding of those people who are intending to buy a new vehicle and outlines whether they are going to purchase new or used and which brands and segments they are intending to purchase - visit the Roy Morgan Online Store: https://store.roymorgan.com/automotive-early-indicator-report
For comments or further detail, please contact: Norman Morris, Industry Communications Director Email: Norman.Morris@roymorgan.com - Telephone: +61 (03) 9224 5172
Ben Pilkington — Account Services Director Automotive Email: Ben.Pilkington@roymorgan.com - Telephone: +61 (03) 9224 5187 About Roy Morgan Research: Roy Morgan Research is the largest independent Australian research company, with offices in each state of Australia, as well as in the United States, United Kingdom, New Zealand and Indonesia. A full service research organisation specialising in omnibus and syndicated data, Roy Morgan Research has more than 65 years experience in collecting objective, independent information on consumers.
In Australia, Roy Morgan Research is considered to be the authoritative source of information on print media measurement, financial behaviour, voting intention and consumer confidence. Roy Morgan Research is a specialist in recontact customised surveys which provide invaluable and effective qualitative and quantitative information regarding customers and target markets.
Margin of Error The following table gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.
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