Roy Morgan Research
October 15, 2019

ANZ-Roy Morgan Consumer Confidence down to 110.9

Topic: Consumer Confidence, Press Release
Finding No: 8109
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ANZ Roy Morgan index was down 1.2% last week, its second straight weekly loss – ensuring confidence remains below its long-run average.

  • The financial conditions subindices were positive. Current finances gained 0.2%, while future finances were up 0.7%. These small gains coming after large falls last week.
  • In contrast weakness in the economic conditions subindices continued for a second week. Current economic conditions fell 1%, while future economic conditions lost 1.7%.
  • The ‘Time to buy a household item’ measure fell 3.9% after two successive gains.
  • Inflation expectations (IE) remained stable at 4.1%.

ANZ Head of Australian Economics, David Plank, commented:

Block Quote

“Consumer confidence was down 1.2% last week, despite some positive developments in the US-China trade war. The decline leaves overall sentiment below average. Household perceptions of the economic outlook fell for a second consecutive week and are well below average. It will be interesting to see whether economic sentiment can gain this week as households have more time to consider the news on trade. In contrast to the negative economic outlook, households remain much more confident about their own financial outlook. This week’s employment data could be important in this regard. Stable inflation expectations, albeit at a low level by historical standards, will be comforting for the RBA.”

Latest ANZ-Roy Morgan Consumer Confidence Releases

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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