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ANZ-Roy Morgan Consumer Confidence increases further to 118.6

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 997 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend May 25/26, 2019.

Confidence continues its rise, gaining 1.2% last week. With the exception of ‘Time to buy a household item’, which fell 2.9%, all the sub-indices were positive.

  • Current financial conditions rose by 1.2%, while future financial conditions were up 0.8%. These two indices have risen for three consecutive weeks. The measure of current financial conditions is its highest since early February.
  • Current economic conditions rose 3.0% while future economic conditions were up 4.5%.
  • The four-week moving average for inflation expectations was stable at 4.1%.
ANZ Head of Australian Economics, David Plank, commented:
“Consumers are upbeat about both their personal outlook and the economy in general. The prospect of lower interest rates and what appears to be a major sentiment shift on the housing market are likely drivers of the positive outlook. The gain comes despite negative developments in the global economy. While the four-week moving average for inflation expectations was unchanged at 4.1%, the weekly reading dropped back under 4%. This is the fifth sub-4% reading since early March, an unprecedented run of low results for this survey."

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%