“A steep fall in the ‘Time to buy a major household item’ led to a decline in the overall confidence index to just above its long-run average. This sub-index fell to its lowest level since April and is well below average. It seems that tax cuts, lower interest rates and the associated turn in the housing market are not yet motivating people to consider a major household purchase. Interestingly, sentiment toward the economic outlook improved despite the weak Q2 GDP report. In saying this, we need to be mindful that sentiment toward the current economic outlook had declined for five consecutive weeks to its lowest level in more than two years. So the bounce in this sub-index is only modest.”
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Confidence gained 0.3% last week, its second straight weekly gain.
Consumer confidence fell 6 points in July to 116, below the historical average.
In July 2019 Roy Morgan Indonesian Consumer Confidence increased by 1.6pts from June to 160.2. This is 2.9pts higher than a year ago in July 2018 (157.3) and a significant 23.1pts above the long-run average (2005-2019) of 137.1.
ANZ-Roy Morgan Australian Consumer Confidence gained 1.2% last week, pushing the index above its long-term average.
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The media landscape in Australia is in an unprecedented state of disruption and change as digital media continues to upend established norms and business practices at a level we’ve never seen before. However, there is a ‘hard’ currency that remains constant that drives consumers to return to, or reject, brands and channels and that is Trust and Distrust.
Roy Morgan is the largest independent Australian research company, with offices throughout Australia, as well as in Indonesia, the United States and the United Kingdom. A full service research organisation specialising in omnibus and syndicated data, Roy Morgan has over 70 years’ experience in collecting objective, independent information on consumers.
The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error 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.
25% or 75%
10% or 90%
5% or 95%