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The current value of the Consumer Confidence Month-over-Month (MoM) in Australia is 6.2 %. The Consumer Confidence Month-over-Month (MoM) in Australia increased to 6.2 % on 2/1/2024, after it was 2.7 % on 12/1/2023. From 10/1/1974 to 6/1/2024, the average GDP in Australia was 0.11 %. The all-time high was reached on 9/1/2020 with 18 %, while the lowest value was recorded on 4/1/2020 with -17.7 %.
Consumer Confidence Month-over-Month (MoM) ·
3 years
5 years
10 years
25 Years
Max
Consumer Confidence MoM | |
---|---|
10/1/1974 | 0.6 % |
11/1/1974 | 0.6 % |
12/1/1974 | 0.6 % |
1/1/1975 | 6 % |
2/1/1975 | 9.2 % |
3/1/1975 | 6.8 % |
10/1/1975 | 1.1 % |
11/1/1975 | 1.1 % |
12/1/1975 | 5.1 % |
1/1/1976 | 3.2 % |
4/1/1976 | 3 % |
8/1/1976 | 1 % |
9/1/1976 | 0.9 % |
10/1/1976 | 0.9 % |
12/1/1976 | 1.4 % |
4/1/1977 | 3.4 % |
5/1/1977 | 2.1 % |
8/1/1977 | 5.4 % |
11/1/1977 | 4.7 % |
12/1/1977 | 3 % |
1/1/1978 | 1.4 % |
2/1/1978 | 4.4 % |
9/1/1978 | 7.1 % |
10/1/1978 | 6.7 % |
12/1/1978 | 2 % |
1/1/1979 | 0.3 % |
2/1/1979 | 3.5 % |
4/1/1979 | 3.4 % |
8/1/1979 | 4.9 % |
9/1/1979 | 4.7 % |
11/1/1979 | 1.1 % |
12/1/1979 | 0.2 % |
2/1/1980 | 2.7 % |
3/1/1980 | 0.9 % |
5/1/1980 | 2.3 % |
6/1/1980 | 2.3 % |
8/1/1980 | 3.3 % |
9/1/1980 | 3.2 % |
10/1/1980 | 4.8 % |
12/1/1980 | 3.2 % |
1/1/1981 | 1.4 % |
2/1/1981 | 0.8 % |
9/1/1981 | 3.1 % |
10/1/1981 | 3 % |
11/1/1981 | 0.2 % |
2/1/1982 | 1.8 % |
4/1/1982 | 1.9 % |
8/1/1982 | 5.4 % |
12/1/1982 | 8.2 % |
1/1/1983 | 5 % |
2/1/1983 | 8.1 % |
3/1/1983 | 5.2 % |
4/1/1983 | 1.9 % |
7/1/1983 | 3.2 % |
8/1/1983 | 2.5 % |
9/1/1983 | 2.8 % |
10/1/1983 | 2.8 % |
11/1/1983 | 6.3 % |
12/1/1983 | 5 % |
1/1/1984 | 2.8 % |
7/1/1984 | 1.1 % |
8/1/1984 | 1.2 % |
2/1/1985 | 0.1 % |
7/1/1985 | 2.7 % |
8/1/1985 | 6.3 % |
9/1/1985 | 0.4 % |
10/1/1985 | 0.4 % |
12/1/1985 | 8.5 % |
1/1/1986 | 0.1 % |
2/1/1986 | 1.6 % |
5/1/1986 | 0.5 % |
10/1/1986 | 14.2 % |
12/1/1986 | 3.7 % |
4/1/1987 | 4.4 % |
5/1/1987 | 1.2 % |
6/1/1987 | 1.8 % |
7/1/1987 | 5.8 % |
10/1/1987 | 9.4 % |
12/1/1987 | 6.6 % |
1/1/1988 | 4.6 % |
2/1/1988 | 1.2 % |
3/1/1988 | 4.8 % |
4/1/1988 | 2.4 % |
6/1/1988 | 0.1 % |
7/1/1988 | 3.2 % |
8/1/1988 | 0.7 % |
9/1/1988 | 3.6 % |
12/1/1988 | 1.7 % |
4/1/1989 | 0.2 % |
7/1/1989 | 0.1 % |
8/1/1989 | 8.2 % |
9/1/1989 | 4.1 % |
11/1/1989 | 2.1 % |
1/1/1990 | 0.7 % |
2/1/1990 | 8.8 % |
6/1/1990 | 2.4 % |
7/1/1990 | 4.2 % |
12/1/1990 | 5.3 % |
1/1/1991 | 6.7 % |
3/1/1991 | 12.4 % |
4/1/1991 | 0.7 % |
6/1/1991 | 5.4 % |
7/1/1991 | 2.2 % |
9/1/1991 | 1.6 % |
10/1/1991 | 3 % |
2/1/1992 | 12.6 % |
3/1/1992 | 5.5 % |
4/1/1992 | 1.2 % |
8/1/1992 | 11.5 % |
10/1/1992 | 10.4 % |
1/1/1993 | 10.4 % |
3/1/1993 | 8.5 % |
7/1/1993 | 5.4 % |
8/1/1993 | 5.7 % |
10/1/1993 | 11.8 % |
11/1/1993 | 5.7 % |
12/1/1993 | 1.1 % |
1/1/1994 | 5.7 % |
2/1/1994 | 4.5 % |
3/1/1994 | 5.6 % |
5/1/1994 | 0.7 % |
6/1/1994 | 1 % |
11/1/1994 | 0.1 % |
3/1/1995 | 9.1 % |
4/1/1995 | 7.6 % |
6/1/1995 | 1.3 % |
8/1/1995 | 0.5 % |
10/1/1995 | 0.3 % |
11/1/1995 | 1.9 % |
1/1/1996 | 1.9 % |
2/1/1996 | 2.8 % |
3/1/1996 | 6.5 % |
8/1/1996 | 0.9 % |
11/1/1996 | 4.9 % |
1/1/1997 | 3.5 % |
3/1/1997 | 3.2 % |
8/1/1997 | 2.9 % |
9/1/1997 | 1 % |
10/1/1997 | 0.1 % |
11/1/1997 | 3.3 % |
1/1/1998 | 0.8 % |
2/1/1998 | 6.9 % |
4/1/1998 | 2.4 % |
7/1/1998 | 6.5 % |
8/1/1998 | 1.1 % |
11/1/1998 | 3.9 % |
1/1/1999 | 9 % |
2/1/1999 | 4.7 % |
4/1/1999 | 1.6 % |
5/1/1999 | 0.3 % |
7/1/1999 | 0.8 % |
9/1/1999 | 2.2 % |
10/1/1999 | 1.2 % |
1/1/2000 | 3.6 % |
3/1/2000 | 0.7 % |
6/1/2000 | 3.2 % |
7/1/2000 | 11.3 % |
8/1/2000 | 4.2 % |
12/1/2000 | 3.1 % |
1/1/2001 | 0.6 % |
2/1/2001 | 2.9 % |
4/1/2001 | 1.3 % |
5/1/2001 | 5.3 % |
6/1/2001 | 11.6 % |
7/1/2001 | 2.1 % |
9/1/2001 | 2.3 % |
11/1/2001 | 2.5 % |
12/1/2001 | 4.7 % |
1/1/2002 | 3.1 % |
2/1/2002 | 3.3 % |
3/1/2002 | 3.6 % |
6/1/2002 | 0.5 % |
9/1/2002 | 0.9 % |
11/1/2002 | 3.3 % |
1/1/2003 | 0.8 % |
4/1/2003 | 9.7 % |
5/1/2003 | 0.7 % |
6/1/2003 | 3.6 % |
7/1/2003 | 1.5 % |
9/1/2003 | 1.6 % |
10/1/2003 | 2.6 % |
1/1/2004 | 2.6 % |
2/1/2004 | 4.3 % |
4/1/2004 | 0.8 % |
7/1/2004 | 5.7 % |
8/1/2004 | 0.1 % |
9/1/2004 | 0.3 % |
11/1/2004 | 1 % |
1/1/2005 | 5 % |
2/1/2005 | 0.8 % |
4/1/2005 | 1.8 % |
5/1/2005 | 8.1 % |
8/1/2005 | 7.8 % |
11/1/2005 | 7.8 % |
1/1/2006 | 3.7 % |
2/1/2006 | 1.6 % |
3/1/2006 | 3.4 % |
7/1/2006 | 3.5 % |
9/1/2006 | 12.5 % |
10/1/2006 | 4 % |
12/1/2006 | 11.8 % |
1/1/2007 | 3.2 % |
2/1/2007 | 1.6 % |
3/1/2007 | 3.7 % |
5/1/2007 | 7.5 % |
9/1/2007 | 4.2 % |
12/1/2007 | 1.8 % |
5/1/2008 | 2.7 % |
8/1/2008 | 9.1 % |
9/1/2008 | 7 % |
11/1/2008 | 4.3 % |
12/1/2008 | 7.5 % |
4/1/2009 | 8.3 % |
6/1/2009 | 12.7 % |
7/1/2009 | 9.3 % |
8/1/2009 | 3.7 % |
9/1/2009 | 5.2 % |
10/1/2009 | 1.7 % |
1/1/2010 | 5.6 % |
3/1/2010 | 0.2 % |
7/1/2010 | 11.1 % |
8/1/2010 | 5.4 % |
10/1/2010 | 3.3 % |
12/1/2010 | 0.2 % |
2/1/2011 | 1.9 % |
4/1/2011 | 1.2 % |
9/1/2011 | 8.1 % |
10/1/2011 | 0.4 % |
11/1/2011 | 6.3 % |
1/1/2012 | 2.4 % |
2/1/2012 | 4.2 % |
5/1/2012 | 0.8 % |
6/1/2012 | 0.3 % |
7/1/2012 | 3.7 % |
9/1/2012 | 1.6 % |
10/1/2012 | 1 % |
11/1/2012 | 5.2 % |
1/1/2013 | 0.6 % |
2/1/2013 | 7.7 % |
3/1/2013 | 2 % |
6/1/2013 | 4.7 % |
8/1/2013 | 3.5 % |
9/1/2013 | 4.7 % |
11/1/2013 | 1.9 % |
4/1/2014 | 0.3 % |
6/1/2014 | 0.2 % |
7/1/2014 | 1.9 % |
8/1/2014 | 3.8 % |
10/1/2014 | 0.9 % |
11/1/2014 | 1.9 % |
1/1/2015 | 2.4 % |
2/1/2015 | 8 % |
5/1/2015 | 6.4 % |
8/1/2015 | 7.8 % |
10/1/2015 | 4.2 % |
11/1/2015 | 3.9 % |
2/1/2016 | 4.2 % |
5/1/2016 | 8.5 % |
8/1/2016 | 2 % |
9/1/2016 | 0.3 % |
10/1/2016 | 1.1 % |
1/1/2017 | 0.1 % |
2/1/2017 | 2.3 % |
3/1/2017 | 0.1 % |
7/1/2017 | 0.4 % |
9/1/2017 | 2.5 % |
10/1/2017 | 3.6 % |
12/1/2017 | 3.6 % |
1/1/2018 | 1.8 % |
3/1/2018 | 0.2 % |
6/1/2018 | 0.3 % |
7/1/2018 | 3.9 % |
10/1/2018 | 1 % |
11/1/2018 | 2.8 % |
12/1/2018 | 0.1 % |
2/1/2019 | 4.3 % |
4/1/2019 | 1.9 % |
5/1/2019 | 0.6 % |
8/1/2019 | 3.6 % |
11/1/2019 | 4.5 % |
2/1/2020 | 2.3 % |
5/1/2020 | 16.4 % |
6/1/2020 | 6.3 % |
9/1/2020 | 18 % |
10/1/2020 | 11.9 % |
11/1/2020 | 2.5 % |
12/1/2020 | 4.1 % |
2/1/2021 | 1.9 % |
3/1/2021 | 2.6 % |
4/1/2021 | 6.2 % |
7/1/2021 | 1.5 % |
9/1/2021 | 2 % |
11/1/2021 | 0.6 % |
9/1/2022 | 3.9 % |
12/1/2022 | 3 % |
1/1/2023 | 5 % |
4/1/2023 | 9.4 % |
6/1/2023 | 0.2 % |
7/1/2023 | 2.7 % |
10/1/2023 | 2.9 % |
12/1/2023 | 2.7 % |
2/1/2024 | 6.2 % |
Consumer Confidence Month-over-Month (MoM) History
Date | Value |
---|---|
2/1/2024 | 6.2 % |
12/1/2023 | 2.7 % |
10/1/2023 | 2.9 % |
7/1/2023 | 2.7 % |
6/1/2023 | 0.2 % |
4/1/2023 | 9.4 % |
1/1/2023 | 5 % |
12/1/2022 | 3 % |
9/1/2022 | 3.9 % |
11/1/2021 | 0.6 % |
Similar Macro Indicators to Consumer Confidence Month-over-Month (MoM)
Name | Current | Previous | Frequency |
---|---|---|---|
🇦🇺 Bank loan interest rate | 10.79 % | 10.79 % | Monthly |
🇦🇺 Consumer Confidence | 83.6 points | 82.2 points | Monthly |
🇦🇺 Consumer Loans | 2.258 T AUD | 2.249 T AUD | Monthly |
🇦🇺 Consumer spending | 304.982 B AUD | 303.669 B AUD | Quarter |
🇦🇺 Disposable Personal Income | 395.857 B AUD | 392.152 B AUD | Quarter |
🇦🇺 Gasoline Prices | 1.17 USD/Liter | 1.19 USD/Liter | Monthly |
🇦🇺 Household Debt to GDP | 109.7 % of GDP | 109.7 % of GDP | Quarter |
🇦🇺 Mortgage Loan | 0.5 % | 0.4 % | Monthly |
🇦🇺 Personal Savings | 0.6 % | 0.6 % | Quarter |
🇦🇺 Private Sector Credit | 0.4 % | 0.5 % | Monthly |
🇦🇺 Retail Sales MoM | 0.1 % | 0.7 % | Monthly |
🇦🇺 Retail Sales YoY | 1.3 % | 0.9 % | Monthly |
The Consumer Sentiment Index is derived from a survey of more than 1,200 Australian households. This Index represents an average of five component indexes that measure consumers' assessments of their household financial situation over the past year and the year ahead, predicted economic conditions for the coming year and the next five years, and the buying conditions for significant household items. Index scores above 100 signify that optimists outnumber pessimists.
Macro pages for other countries in Australia
What is Consumer Confidence Month-over-Month (MoM)?
Understanding Consumer Confidence MoM: A Crucial Indicator in Macroeconomics Consumer confidence is a vital gauge of economic health that measures the degree of optimism or pessimism consumers exhibit regarding their personal financial situation and the overall state of the economy. As a leading provider of macroeconomic data, Eulerpool recognizes the significance of consumer confidence and its monthly variations, known as Consumer Confidence MoM (Month-over-Month). In this comprehensive exploration, we delve into the intricacies of Consumer Confidence MoM, its implications, measurement methods, and its pivotal role in economic analysis. Consumer confidence indices serve to capture the sentiment of households and their subsequent behavioral responses in terms of spending and saving. Monthly changes in consumer confidence are critical as they provide timely insights into economic conditions that can influence a multitude of economic decisions. Unlike annual or quarterly changes, MoM fluctuations can signal short-term trends and immediate reactions to current events, thereby serving as a crucial tool for policymakers, businesses, and investors to make informed decisions. Consumer confidence is fundamentally driven by several factors, including employment levels, income growth, inflation rates, and broader economic conditions. When consumers feel secure in their employment and observe rising incomes coupled with manageable inflation, their confidence tends to increase, leading to higher propensity to spend rather than save. This consumption behavior is a significant contributor to economic growth, given that consumer spending accounts for a substantial portion of Gross Domestic Product (GDP) in many economies. Conversely, negative sentiments may arise during periods of economic downturn, rising unemployment, or high inflation. Such conditions erode consumer confidence, often resulting in reduced spending and increased savings as households brace for potential financial hardship. The impact of such behavioral shifts can be substantial, as decreased consumer spending can lead to lower business revenues, reduced production, and potential economic contraction. Measurement of consumer confidence involves surveys conducted by various organizations. Notable indices include the Consumer Confidence Index (CCI) produced by The Conference Board and the Michigan Consumer Sentiment Index (MCSI) by the University of Michigan. These indices aggregate responses from a representative sample of households regarding their current financial situation, future expectations, and overall economic outlook. The monthly change or MoM value is derived from comparing the current month's index with the previous month's, providing insights into the latest trends in consumer sentiment. The methodological framework for measuring consumer confidence typically encompasses both qualitative and quantitative questions. Respondents may be asked about their financial situation compared to a year ago, their expectations for the coming year, and their views on general economic conditions. These responses are then weighted and compiled into an index, allowing for tracking and analysis over time. The significance of analyzing Consumer Confidence MoM lies in its ability to reflect the immediate psychological responses of consumers to recent economic developments. For instance, an unexpected rise in unemployment figures or a sudden spike in fuel prices can cause a sharp decline in consumer confidence within a single month. Conversely, positive news such as robust job growth or wage increases can lead to a swift improvement in sentiment. These prompt changes can be crucial for economic stakeholders who need to respond rapidly to evolving conditions. For policymakers, monitoring Consumer Confidence MoM provides valuable real-time insights. Central banks and government entities closely watch these indices to gauge the effectiveness of monetary and fiscal policies. A sustained decline in consumer confidence may prompt interventions through rate cuts, stimulus packages, or other measures aimed at bolstering economic activity. On the other hand, a surge in confidence may indicate overheating risks, potentially leading to monetary tightening to keep inflation in check. Businesses also find Consumer Confidence MoM crucial for strategic planning and decision-making. Retailers, for example, rely on these insights to forecast demand, manage inventory, and tailor marketing strategies. A drop in consumer confidence could signal the need for discounting and promotional efforts to stimulate sales. Conversely, a boost in confidence may encourage businesses to expand product lines and invest in growth initiatives. Real estate developers, automobile manufacturers, and other sectors heavily dependent on consumer spending similarly depend on monthly confidence data to make informed forecasts and investment decisions. Investors, too, pay close attention to Consumer Confidence MoM as a leading indicator of stock market performance. High consumer confidence typically correlates with robust economic growth, corporate profitability, and bullish market sentiment. Conversely, declining confidence might portend economic slowdown, reduced corporate earnings, and bearish stock market trends. By integrating these data points into their analysis, investors can better position their portfolios to capitalize on emerging opportunities or mitigate potential risks. The interconnectedness of global economies further amplifies the importance of Consumer Confidence MoM. In an increasingly globalized world, the sentiment of consumers in one country can have ripple effects internationally. For instance, a decline in consumer confidence in a major economy like the United States can impact export-driven countries reliant on American consumers. Thus, global economic stakeholders, including multinational corporations and international investors, closely monitor these indices to understand and anticipate global economic trends. At Eulerpool, we are committed to providing accurate and comprehensive macroeconomic data, including detailed analyses of Consumer Confidence MoM. Our platform offers reliable, up-to-date information designed to support economic researchers, analysts, and decision-makers in understanding and leveraging consumer sentiment data for strategic advantage. By tracking the monthly variations in consumer confidence, we empower our users to gain nuanced insights into the current economic environment and make data-driven decisions that drive growth and stability. In conclusion, Consumer Confidence MoM is an indispensable indicator within the realm of macroeconomics, offering timely and actionable insights into the financial mood and behaviors of households. Understanding its dynamics, causes, and implications enables businesses, policymakers, and investors to navigate the economic landscape effectively. At Eulerpool, we recognize the critical importance of these insights and remain dedicated to delivering the highest quality data and analysis for our clients.