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ANZ-Roy Morgan Australian Consumer Confidence continues rises to 119.5

This weekly ANZ-Roy Morgan Consumer Confidence Rating is based on 1,103 face-to-face interviews conducted Australia-wide with men and women aged 14 and over the weekend December 1/2, 2018.
ANZ-Roy Morgan Australian Consumer Confidence continues to trend higher, rising by 0.8% last week.

  • In contrast to last week’s reading, financial conditions indices were up significantly. Current financial conditions jumped by 7.2% while future financial condition rose by 2.3%.
  • Providing some offset for this, economic conditions subindices were lower. Current and future economic conditions fell by 2.5% and 0.3% respectively.
  • The ‘time to buy a household item’ sub-index was down by 1.9%. Four week moving average inflation expectations appear to have stabilised at 4.2%.

ANZ Senior Economist, Felicity Emmett, commented:

“Consumer confidence continues to improve, rising 0.8% last week. The resilience of sentiment is encouraging given ongoing weakness in house prices. In our view this strength is being supported by the strong labour market. The recent fall in petrol prices is also probably helping to buttress confidence.

"This week’s GDP and retail sales reports will reveal whether elevated consumer confidence has translated into strength in actual consumer spending. These indicators will be important to watch over coming months to determine if and how the downturn in house prices is feeding through into the real economy.”




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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