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ANZ-Roy Morgan Australian Consumer Confidence rebounds to 116.8

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 973 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend January 12/13, 2019.
ANZ-Roy Morgan Australian Consumer Confidence was up 1.4% last week.

  • Current financial conditions were up 2.8%, rebounding after three consecutive falls. Future financial conditions registered the fifth consecutive increase, rising 2.0%.
  • Economic conditions declined, with current and future economic conditions falling by 0.6% and 2.3% respectively.
  • There was a marked improvement in the ‘time to buy a household item’ index, with it registering 3.9% growth. This took the index to its highest level since the first half of October and above the long-run average. Four week moving average inflation expectations were stable at 4.3%.

ANZ’s Head of Australian Economics, David Plank, commented:

“Consumer confidence was up 1.4% last week thanks to a good showing from the ‘financial conditions’ and ‘time to buy a household item’ indices. This increase reverses a good portion of the decline captured in the first survey of 2019 and consolidates consumer confidence at a level comfortably above the long-run average. The resilience shown by Australian households amidst weak global and domestic cues is encouraging. Robust job vacancies data may have played a role.”

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%