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ANZ-Roy Morgan Consumer Confidence jumps to 114.7

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 967 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend September 28/29, 2019.

Confidence jumped by a solid 4.2% last week, closing above its long term average. The gain was broad-based with all the subindices rising.

  • Current finances were up 6.9% while future finances gained 5.9%. Both financial conditions indices remain above their long term averages.
  • Current economic conditions rose by 3.5%, while future economic conditions jumped 5.7%. Despite the jump, both the subindices remain below their long term averages.
  • A 7.1% jump in ‘time to buy a major household item’ was encouraging after the drop to a 10 year low last week, although the index remains well below its long run average.
  • Inflation expectations were unchanged at 4.1%.

ANZ Senior Economist, Felicity Emmett, commented:

“Building on a modest gain in the previous week, confidence bounced a strong 4.2% last week. This jump came despite ongoing geo-political tensions and less than encouraging domestic data prints, suggesting the possibility that the early signs of recovery in the housing sector and expectations of further easing by RBA may be supporting consumer sentiment.”






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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