Roy Morgan Research
December 17, 2019

ANZ-Roy Morgan Consumer Confidence down to 108.0

Topic: Consumer Confidence, Press Release
Finding No: 8235

Confidence fell 0.9% last week, primarily due to the 6.4% fall seen in the ‘Time to buy a major household item’ sub-index.

  • Financial conditions were mixed with ‘current finances’ down by 1.5%, while ‘future financial conditions’ gained 3.7%.
  • Economic conditions were also mixed. ‘Current economic conditions’ rose 1.6%, while ‘future economic conditions’ were down 1.2%.
  • The four-week moving average of ‘inflation expectations’ was up 0.1ppt to 4.0%.

ANZ Head of Australian Economics, David Plank, commented:

Block Quote

“Momentum fizzled out this week after two successive weekly gains. A delayed response to the soft GDP result and weak retail sales may be at work, as well as the news flow around the bush fires and associated smoke haze. The weakness seen in the ‘time to buy a household item’ sub-index was almost enough to take it to its lowest level since the global financial crisis. It seems the turn in the housing market has not yet flowed through to sentiment around household items. We note that consumer confidence is not the be all for financial conditions. The financial wellbeing of Australians is holding up better.”

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

For comments or more information please contact:
Roy Morgan - Enquiries
Office: +61 (03) 9224 5309
askroymorgan@roymorgan.com

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

Related Findings

Back to topBack To Top Arrow