"Sentiment recovered last week, possibly in part on the back of the RBA Governor’s comments about a “gentle” upturn in the economy. Reasonable CPI data and the lift in building approvals may have also contributed to the lift in sentiment. The jump in future economic conditions was notable, as this index has been acting as a major drag for the whole index. Better global news, reflected in higher global share prices, likely also impacted. The weekly inflation expectations subindex remained at its recent low and the RBA is likely to be pay some attention to that."
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ANZ-Roy Morgan Australian Consumer Confidence was down 1.1% last week; The financial conditions subindices were the only indices supporting the index.
Consumer confidence fell 6 points in July to 116, below the historical average.
In July 2019 Roy Morgan Indonesian Consumer Confidence increased by 1.6pts from June to 160.2. This is 2.9pts higher than a year ago in July 2018 (157.3) and a significant 23.1pts above the long-run average (2005-2019) of 137.1.
ANZ-Roy Morgan Australian Consumer Confidence made a partial recovery last week, rising 0.6% after the prior week’s 1.2% drop.
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The media landscape in Australia is in an unprecedented state of disruption and change as digital media continues to upend established norms and business practices at a level we’ve never seen before. However, there is a ‘hard’ currency that remains constant that drives consumers to return to, or reject, brands and channels and that is Trust and Distrust.
Roy Morgan is the largest independent Australian research company, with offices throughout Australia, as well as in Indonesia, the United States and the United Kingdom. A full service research organisation specialising in omnibus and syndicated data, Roy Morgan has over 70 years’ experience in collecting objective, independent information on consumers.
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.
25% or 75%
10% or 90%
5% or 95%