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ANZ-Roy Morgan Australian Consumer Confidence down to 113.2

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,050 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend April 6/7, 2019.
ANZ-Roy Morgan Australian Consumer Confidence was down last week, falling 1.3%, despite the tax cuts set out in the Budget. Consumer confidence is just above its long-run average.

  • Current finances were down 1.7%, while future finances gained by the same amount, thus having a neutral effect on the combined index.
  • Current economic conditions rose by 0.7%, building on the big jump of 8.1% in the previous reading. Future economic conditions were up by a modest 0.8%, though this was the fourth straight weekly gain.
  • The ‘time to buy a household item’ fell by 7.4%. Four-week moving average inflation expectations were stable at 4.0%. The weekly reading rose to 4.3%, more than reversing the prior week’s large decline.

ANZ Senior Economist, David Plank, commented:

“The fall in confidence last week would be seen as disappointing in Canberra given the near-term boost to household incomes delivered in the Budget. Given the usual volatility in the weekly data, we don’t believe the decline indicates a negative response to the Budget. Rather, it suggests the announcements failed to provide a boost. On a definitely positive note, the sharp decline in the weekly inflation expectations reading in last week’s numbers more than reversed this week. This will be some comfort to the RBA.”




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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