Roy Morgan Research
November 19, 2019

ANZ-Roy Morgan Consumer Confidence down to 109.9

Topic: Consumer Confidence, Press Release
Finding No: 8147
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Confidence was down again last week, falling 1.1%. The weakness was predominantly due to the economic conditions component of the index.

  • Current economic conditions fell by 2.6%, while future economic conditions were more downbeat, falling 4.9%. Both these subindices are near their multiyear lows.
  • In contrast, financial conditions were upbeat, with current financial conditions gaining 0.3% and future financial conditions gaining 0.2%.
  • The ‘Time to buy a household item’ gained 0.4% after falling 3.9% in the previous reading. The four-week moving average of inflation expectations declined by 0.1ppt to 3.9% as the weekly reading fell to 3.8%, its lowest level since the end of June.

ANZ Head of Australian Economics, David Plank, commented:

Block Quote

“Confidence faltered again due to weakness in the two economic conditions subindices. Continued weakness in these subindices has caused poor performance of the index for some time. Labour market data last week revealed that the job market weakened last month, which is probably the reason why the economic conditions subindices have been down for the last few weeks. Confirmation that wages are still subdued may also have made households apprehensive about the economic outlook, even if it doesn’t seem to be impacting them directly via financial conditions. Renewed weakness in the weekly reading of inflation expectations will be a concern for the RBA.”

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Latest ANZ-Roy Morgan Australian & Asia-Pacific Consumer Confidence Data Tables

Related Research Reports

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.

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Margin of Error

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.

Sample Size Percentage Estimate
40% – 60% 25% or 75% 10% or 90% 5% or 95%
1,000 ±3.0 ±2.7 ±1.9 ±1.3
5,000 ±1.4 ±1.2 ±0.8 ±0.6
7,500 ±1.1 ±1.0 ±0.7 ±0.5
10,000 ±1.0 ±0.9 ±0.6 ±0.4
20,000 ±0.7 ±0.6 ±0.4 ±0.3
50,000 ±0.4 ±0.4 ±0.3 ±0.2

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