November 05, 2019

ANZ-Roy Morgan Consumer Confidence up to 113.5

Topic: Consumer Confidence, Press Release
Finding No: 8127
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The ANZ-Roy Morgan index made a strong recovery last week, rising 2.8% after the prior week’s 1.1% drop.

  • Financial conditions were positive, with current finances up 1.6%, while future finances rose for the fourth consecutive week in gaining 2.6%.
  • Economic conditions finally recovered with substantial gains compared to weak performance for the last few weeks. Current economic conditions gained 2.6%, while future finances were up significantly by 6.8%. The rise in future economic conditions is pleasing, as this particular sub-index has been in a downtrend for the last four weeks.
  • The ‘Time to buy a household item’ also strengthened, increasing 1.3%. The four-week moving average of inflation expectations declined by 0.1ppt to 4.0%.

ANZ Head of Australian Economics, David Plank, commented:

Block Quote

“Sentiment recovered last week, possibly in part on the back of the RBA Governor’s comments about a “gentle” upturn in the economy. Reasonable CPI data and the lift in building approvals may have also contributed to the lift in sentiment. The jump in future economic conditions was notable, as this index has been acting as a major drag for the whole index. Better global news, reflected in higher global share prices, likely also impacted. The weekly inflation expectations subindex remained at its recent low and the RBA is likely to be pay some attention to that.”

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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