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ANZ-Roy Morgan Consumer Confidence slips to 114.2

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,003 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend June 15/16, 2019.

Confidence was down just a notch last week, falling 0.3%.

  • The financial conditions sub-indices were positive. Current financial conditions rose 3.9%, while future financial conditions gained 0.2%. The rise has bought both indices back above their long-term averages.
  • Current and future economic conditions were down 2.3% and 1.9% respectively.
  • ‘Time to buy a major household item’ was also down, falling 1.2%. The four-week moving average for inflation expectations was stable at 3.8%.
ANZ Head of Australian Economics, David Plank, commented:

“Weak Q1 GDP and the soft retail figure for April have seen consumer confidence move lower over the past week, despite the rate cut from the RBA. Looking back to the rate cuts in 2015 and 2016, there was no tendency for confidence to rise immediately following the move lower in rates. So it’s not particularly surprising that there has been no immediate boost from the rate cut. Inflation expectations readings below 4% seem to have become the norm in the past couple of month, which is unique in the history of this survey and something the RBA will be taking note of.”





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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

40%-60%

25% or 75%

10% or 90%

5% or 95%

5,000

±1.4

±1.2

±0.8

±0.6

7,500

±1.1

±1.0

±0.7

±0.5

10,000

±1.0

±0.9

±0.6

±0.4

20,000

±0.7

±0.6

±0.4

±0.3

50,000

±0.4

±0.4

±0.3

±0.2