“Confidence was effectively unchanged last week, but the stability hides quite a lot of variance in the sub-indices. People were much more positive on their own financial circumstances, but unsure about the economic outlook. This may reflect the way lower interest rates are being perceived: positive at the individual level for many (though not all), but the fact that interest rates need to fall is possibly raising concerns about the economic fundamentals. The bounce in the ‘time to buy a major household item’ may be indicative of the signs of stability in the housing market emerging in other data such as auction clearance rates. The weekly reading of inflation expectations jumped by 0.3ppt to 4.3%. This took the four-week moving average to 3.9%.”
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Confidence was down just a notch last week, falling 0.3%.
The ANZ-Roy Morgan Consumer Confidence Index fell 4 points to 119, the lowest read in six months but fairly close to its historical average. The Current Conditions Index fell 4 points to 126, undoing much of its lift the previo...
In May 2019 Roy Morgan Indonesian Consumer Confidence increased 1.8pts from April to 161.8. This is 4.8pts higher than a year ago in May 2018 (157.0) and a significant 25pts above the long-run average (2005-2019) of 136.8.
Confidence fell for a second week in a row, dropping by 2.0% last week; it remains above the long-term average, however. ’Time to buy a household item’ was the only ‘green shoot’, rising a solid 4.9%.
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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%