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ANZ-Roy Morgan Consumer Confidence breaks to 116.9

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 995 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend June 1/2, 2019.

Confidence has taken a pause, falling 1.4% last week after two weekly gains. With the exception of current economic conditions, which rose 2.1%, all the sub-indices were negative.

  • Current financial conditions fell by 4.7%, its first decline after four consecutive increases, while future financial conditions were down 2.8%.
  • Current economic conditions was positive for the third consecutive week, while future economic conditions were down 0.3% after rising 4.5% in the previous reading.
  • ‘Time to buy a household item’ was down 1.3% while the four-week moving average for inflation expectations fell by 0.1ppt to 4.0%.
ANZ Head of Australian Economics, David Plank, commented:

“Confidence shows signs of consolidation at an above average level after the gains made on the back of the election, talk of interest rate cuts and modest regulatory respite for the housing sector. This week will be quite impactful for the index, as the RBA will be announcing its decision on interest rates beside a plethora of crucial economic data such as the current account, retail sales and GDP. Weekly inflation expectations remained at 3.8% for the second week, meaning the four-week moving average will likely drop below 4% next week.”





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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%

1,000

±3.0

±2.7

±1.9

±1.3

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