“Confidence was up marginally last week despite some not-so-positive economic data. Reports on business investment and construction work done pointed to a very soft Q2 GDP report, 0.2% by our reckoning. Consumers’ views toward their own finances were down somewhat, but this drop follows the very strong gain in the prior week and still leaves sentiment about personal finances well above average. Consumers remain apprehensive about the economic outlook over the coming year. In our view, how the divergence between these two measures is closed will be a key determinant of consumer spending in the year ahead. A good piece of news for the RBA is the rise in inflation expectations after the four-week moving average dipped below 4% for a couple of weeks.”
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ANZ-Roy Morgan Australian Consumer Confidence gained 1.2% last week, pushing the index above its long-term average.
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 fell 2.3% last week, closing below the 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%