"The fall in consumer confidence was a bit disappointing amidst strengthening global macroeconomic conditions and some reasonable domestic news in the form of a huge trade surplus and continued good news on housing. These data points were clearly not enough to offset a fall in the volume of retail sales for the September quarter, the first drop in annual retail volumes since the early 1990s recession, and a soft ANZ job ads. The defining feature of the survey remains the divergence between financial and economic conditions. The RBA will be pleased to see an up-tick in inflation expectations."
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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.
The ANZ-Roy Morgan index made a strong recovery last week, rising 2.8% after the prior week’s 1.1% 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 Australian Consumer Confidence was down 1.1% last week; The financial conditions subindices were the only indices supporting the index.
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The Roy Morgan Risk Monitor asks Australians to name, without prompting, brands they trust and brands they distrust, and to give detailed, open-ended reasons for these feelings.
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%