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ANZ-Roy Morgan Australian Consumer Confidence up to 119.5

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 999 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend April 20/21, 2019.
Confidence jumped by a healthy margin of 3.6% last week, taking the index to its highest level since December.

  • Current finances were also up 3.6% to 109.2, which is an eight-month high. Future financial conditions were up by 5.2%, its fourth straight weekly gain.
  • Current economic conditions rose by 2%, while future economic conditions jumped by 7.7%. Future economic conditions are now the highest since 2013.
  • The ‘time to buy a household item’ was flat. Four-week moving average inflation expectations were stable at 4.0%. The weekly reading rose by 4.2%, however, reversing much of the prior week’s decline.

ANZ Senior Economist, David Plank, commented:

“Strong domestic labour market data and encouraging economic news from China have resulted in a strong gain in ANZ Roy-Morgan consumer confidence. Consumers are now the most upbeat they have been in 2019. Continuous gains in future financial and economic conditions suggest that the Australians are getting comfortable with their future financial wellbeing. Four week moving average inflation expectations were stable at 4% though the weekly print is showing a considerable amount of volatility.”

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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Roy Morgan is the largest independent Australian research company, with offices throughout Australia, as well as in Indonesia, the United States and the United Kingdom. A full service research organisation specialising in omnibus and syndicated data, Roy Morgan has over 70 years’ experience in collecting objective, independent information on consumers.

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%