"Consumer confidence lost ground last week as concerns about the economic outlook trumped a more positive assessment of personal finances. Uncertainty around global trade is likely a factor. At the same time, accommodative monetary policy and tax cuts are fuelling better financial conditions. The drop in weekly inflation expectations comes after a period of stability and ahead of the release of the Q3 CPI. We expect that report to confirm that inflation pressures remain subdued."
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The latest Roy Morgan Consumer Confidence Monthly Report is available on the Roy Morgan Online Store. It provides demographic breakdowns for Age, Sex, State, Region (Capital Cities/ Country), Generations, Lifecycle, Socio-Economic Scale, Work Status, Occupation, Home Ownership, Voting Intention, Roy Morgan Value Segments and more.
You can also view our monitor of Monthly Australian Unemployment & Under-employment Estimates.
ANZ-Roy Morgan Australian Consumer Confidence made a partial recovery last week, rising 0.6% after the prior week’s 1.2% drop.
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 index was down 1.2% last week, its second straight weekly loss – ensuring confidence remains below its long-run 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%