Roy Morgan Research
February 18, 2020

ANZ-Roy Morgan Consumer Confidence increases to 109.1

Topic: Consumer Confidence, Press Release
Finding No: 8269
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ANZ-Roy Morgan Consumer Confidence gained 1.2% to 109.1 this week with the bushfires over and Australians going back to business Consumer Confidence increases and more than reverses last week’s loss; continuing the recent sawtooth pattern. The gains have been a little more than the losses, so the index reached its 2020 high last week.

  • ‘Current finances’ gained 2% last week, while ‘future finances’ were marginally down by 0.1%.
  • ‘Current economic conditions’ registered a healthy gain of 6.5% compared to a fall of 4.1% seen last week, while ‘future economic conditions’ were flat.
  • ‘Time to buy a major household item’ fell 0.9%, adding to the loss of 5% seen in the previous reading. The four-week moving average for ‘inflation expectations’ fell by 0.1ppt to 4.0%, while the weekly reading remained stable.

ANZ Head of Australian Economics, David Plank, commented:

Block Quote

“The ANZ Roy-Morgan Australian Consumer Confidence index has risen to its highest level in 2020, with sentiment possibly buoyed by the continued gains in asset prices. The fact the coronavirus hasn’t become established in Australia might be a contributing factor, although the measures taken by the Government to help ensure this remains the case will have economic consequences. This week the key domestic influences on sentiment will be wage and employment data.”We aren’t expecting the news to be flash, which may see confidence dip over the coming week and so continue the up and down behaviour seen in recent weeks.”

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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