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ANZ-Roy Morgan Australian Consumer Confidence virtually unchanged at 117.3

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,021 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend May 4/5, 2019.
Confidence fell marginally by 0.3% last week, consolidating at an above average level.

  • Financial conditions were mixed with current finances up by 0.2%, while future financial conditions fell 1.2%.
  • Economic conditions were also mixed. Current economic conditions rose 4.1%, largely reversing the prior week’s fall of 5.5%, while future economic conditions were down 3.6%. Both the sub-indices were well above their long term averages.
  • The ‘time to buy a household item’ fell 0.3% compared to a rise of 4% last week. The four-week moving average for inflation expectations fell by 0.1ppt to 4.0%

ANZ Head of Australian Economics, David Plank, commented:

“Confidence was marginally down last week, though it is still well above average levels. There was not much in the way of local economic news to react to last week. It seems consumer sentiment is in a holding pattern for now. This pattern is likely to be disrupted on Tuesday afternoon, with the RBA expected to either cut the cash rate for the first time since August 2016 or clearly signal that a rate cut is on the cards.”

Click here to download the latest weekly ANZ-Roy Morgan Australian Consumer Confidence PDF.

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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.

You can also view our monitor of Monthly Australian Unemployment & Under-employment Estimates.

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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


25% or 75%

10% or 90%

5% or 95%