September 17, 2019

ANZ-Roy Morgan Consumer Confidence down to a two year low at 109.3

Topic: Consumer Confidence, Press Release
Finding No: 8105
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Confidence plunged 3.5% last week to its lowest level in over two years. ‘Time to buy a household item’ was the only subindex in the positive, eking out a 0.2% gain.

  • The financial conditions subcomponents dropped sharply. Current finances were down 4.6%, the third consecutive weekly decline, while future finances were down 4.8%.
  • The economic conditions subindices were also down, with current economic conditions losing 0.6% and future economic conditions falling by a sharp 7.6%, bringing it to a two-year low.
  • The four-week moving average for inflation expectations increased by 0.1ppt to 4.1%, despite a small decline in the weekly reading.

ANZ Senior Economist, Felicity Emmett, commented:

Block Quote

“ANZ-Roy Morgan consumer confidence fell to two year low last week. While households feel okay about their current financial situation, they are clearly quite worried about the outlook, for both their own finances and the economy. Last week’s reported fall in business conditions to a five-year low, the weekend attack on Saudi Arabia’s oil and ongoing broader concerns about both the domestic and global economic outlook are now clearly weighing on consumer sentiment. This is a disappointing development and suggests that expectations for tax and interest rate cuts to spur the consumer to lift the economy may be misplaced.”

Latest ANZ-Roy Morgan Consumer Confidence Releases

Latest ANZ-Roy Morgan Australian & Asia-Pacific Consumer Confidence Data Tables

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.

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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

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