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ANZ-Roy Morgan Consumer Confidence boosted to 118.5

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,004 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend July 27/28, 2019.

ANZ-Roy Morgan Consumer Confidence was up by 1.9% last week, building on the 0.3% gain in the previous week. All the subindices rose except ‘current finances’.

  • Current finances declined 0.9%, although this followed a 2.8% jump in the previous week. Future finances gained 1.2%.
  • Economic conditions subindices were more encouraging, with current economic conditions up by 5.8% and future economic conditions flat.
  • The ‘time to buy a major household item’ index gained 3.5% after losing 4.4% previously. The four-week moving average for inflation expectations was up 0.1ppt to 4.1%.
ANZ Senior Economist, Felicity Emmett, commented:

“Confidence gained for the second straight week, and is now well above its long run average. The federal government’s tax refunds for low- and middle-income earners look to be boosting sentiment, particularly in the case of the ‘time to buy a household item’ subindex. RBA Governor Lowe’s statement that interest rates would remain low for an extended period is also likely to have helped support confidence, pushing equities to 12-year high.”

ANZ Roy Morgan Consumer Confidence

Confidence up 1.9%

Tax refunds boost confidence

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

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Latest ANZ-Roy Morgan Australian & Asia-Pacific Consumer Confidence Data Tables

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%