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ANZ-Roy Morgan Australian Consumer Confidence broadly unchanged at 111.8

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,002 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend March 23/24, 2019.
ANZ-Roy Morgan Australian Consumer Confidence was broadly unchanged last week, edging down just 0.1%.

  • The financial conditions sub-components were both negative. Current financial conditions fell 1.4%, following the 6% rise in the previous week, while future financial conditions were down by 3.3%.
  • Economic conditions were mixed, with current economic conditions down 0.1% and future economic conditions rising 3.6%.
  • The ‘time to buy a household item’ rose by 1%, the first rise after three consecutive falls. Four-week moving average inflation expectations were stable at 4%.

ANZ’s Senior Economist, Felicity Emmett, commented:

“Confidence was broadly unchanged over the past week, remaining well below average. The strong February labour market report, showing further modest jobs growth and a tick down in the unemployment rate, failed to lift sentiment. With persistent weakness in the housing market, and little good news from offshore, either on the economic or geopolitical front, households seem fairly downbeat. Whether this is a new normal or a temporary lull remains to be seen.”

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%