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ANZ-Roy Morgan Australian Consumer Confidence down to 114.1

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,069 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend February 23/24, 2019.
ANZ-Roy Morgan Australian Consumer Confidence retraced last week’s gain, declining 1.0% but remaining above the long-run average by some margin.

  • Financial conditions subindices were down with current financial conditions declining 0.9% and future financial conditions taking a bigger hit of 5.3%. This only took future financial conditions down to around the long-run average, however.
  • Economic conditions were mixed, with current economic conditions falling 1.6% while future economic conditions gained 0.5%.
  • The ‘time to buy a household item’ moved higher for the second week, gaining 2.9%. Four week moving average inflation expectations were stable at 4%.

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

“Confidence took a U-turn by falling 1.0% last week. The fall was somewhat surprising considering strong employment growth and reasonable wage data. The turn to a more negative outlook by one of the major Australian banks and news stories about a ban on Australian coal imports by Chinese port authorities that were then denied by authorities may have offset the positive economic data. Consumer confidence has effectively been in a holding pattern over the past three weeks, though the important thing to note is that it has remained above the long-run average.”

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%