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The current value of the Retail Sales Ex Gas and Autos Month-over-Month (MoM) in United States is 0.2 %. The Retail Sales Ex Gas and Autos Month-over-Month (MoM) in United States decreased to 0.2 % on 10/1/2024, after it was 1.2 % on 9/1/2024. From 2/1/1992 to 11/1/2024, the average GDP in United States was 0.39 %. The all-time high was reached on 5/1/2020 with 12.9 %, while the lowest value was recorded on 4/1/2020 with -13.9 %.
Retail Sales Ex Gas and Autos Month-over-Month (MoM) ·
3 years
5 years
10 years
25 Years
Max
Retail Sales Excluding Gas and Autos MoM | |
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4/1/1992 | 0.4 % |
5/1/1992 | 0.1 % |
7/1/1992 | 0.6 % |
8/1/1992 | 0.9 % |
9/1/1992 | 0.1 % |
10/1/1992 | 0.9 % |
11/1/1992 | 0.3 % |
12/1/1992 | 1.3 % |
1/1/1993 | 0.6 % |
4/1/1993 | 1.5 % |
5/1/1993 | 1 % |
7/1/1993 | 0.9 % |
9/1/1993 | 1 % |
10/1/1993 | 0.1 % |
11/1/1993 | 0.5 % |
12/1/1993 | 0.8 % |
2/1/1994 | 1.3 % |
3/1/1994 | 2.1 % |
5/1/1994 | 0.3 % |
6/1/1994 | 1.1 % |
7/1/1994 | 0.3 % |
8/1/1994 | 1 % |
9/1/1994 | 0.4 % |
10/1/1994 | 0.7 % |
12/1/1994 | 0.9 % |
1/1/1995 | 0.4 % |
3/1/1995 | 0.8 % |
4/1/1995 | 0.2 % |
5/1/1995 | 0.8 % |
6/1/1995 | 0.3 % |
7/1/1995 | 0.2 % |
8/1/1995 | 0.5 % |
9/1/1995 | 0.8 % |
11/1/1995 | 1.4 % |
12/1/1995 | 0.8 % |
2/1/1996 | 1 % |
3/1/1996 | 0.9 % |
4/1/1996 | 0.9 % |
5/1/1996 | 0.5 % |
6/1/1996 | 0.2 % |
7/1/1996 | 0.2 % |
8/1/1996 | 0.4 % |
9/1/1996 | 0.8 % |
10/1/1996 | 0.8 % |
11/1/1996 | 0.3 % |
12/1/1996 | 0.5 % |
1/1/1997 | 0.1 % |
2/1/1997 | 0.9 % |
3/1/1997 | 0.7 % |
5/1/1997 | 0.1 % |
6/1/1997 | 0.8 % |
7/1/1997 | 0.9 % |
8/1/1997 | 0.1 % |
9/1/1997 | 0.7 % |
11/1/1997 | 0.1 % |
12/1/1997 | 0.2 % |
1/1/1998 | 0.6 % |
2/1/1998 | 0.6 % |
3/1/1998 | 0.3 % |
4/1/1998 | 0.9 % |
5/1/1998 | 0.3 % |
6/1/1998 | 0.4 % |
7/1/1998 | 0.8 % |
8/1/1998 | 0.3 % |
10/1/1998 | 1.1 % |
11/1/1998 | 0.7 % |
12/1/1998 | 0.7 % |
1/1/1999 | 0.2 % |
2/1/1999 | 1.2 % |
3/1/1999 | 0.3 % |
4/1/1999 | 0.4 % |
5/1/1999 | 0.7 % |
6/1/1999 | 0.3 % |
7/1/1999 | 0.2 % |
8/1/1999 | 0.6 % |
9/1/1999 | 0.8 % |
10/1/1999 | 0.5 % |
11/1/1999 | 0.6 % |
12/1/1999 | 2.3 % |
2/1/2000 | 0.9 % |
3/1/2000 | 1.8 % |
6/1/2000 | 0.3 % |
7/1/2000 | 0.3 % |
8/1/2000 | 0.3 % |
9/1/2000 | 1.3 % |
11/1/2000 | 0.1 % |
12/1/2000 | 0.4 % |
1/1/2001 | 0.4 % |
4/1/2001 | 1.1 % |
7/1/2001 | 0.5 % |
8/1/2001 | 0.7 % |
10/1/2001 | 1.7 % |
11/1/2001 | 0.7 % |
12/1/2001 | 0.6 % |
1/1/2002 | 0.1 % |
2/1/2002 | 0.6 % |
4/1/2002 | 0.9 % |
6/1/2002 | 0.2 % |
8/1/2002 | 0.1 % |
10/1/2002 | 0.6 % |
11/1/2002 | 0.6 % |
12/1/2002 | 0.1 % |
1/1/2003 | 0.4 % |
3/1/2003 | 1.5 % |
5/1/2003 | 0.7 % |
6/1/2003 | 1.3 % |
7/1/2003 | 1 % |
8/1/2003 | 1.1 % |
10/1/2003 | 0.4 % |
11/1/2003 | 0.5 % |
1/1/2004 | 0.8 % |
3/1/2004 | 1.9 % |
5/1/2004 | 0.5 % |
7/1/2004 | 0.8 % |
8/1/2004 | 0.2 % |
9/1/2004 | 0.7 % |
10/1/2004 | 0.7 % |
11/1/2004 | 0.4 % |
12/1/2004 | 1 % |
1/1/2005 | 0.4 % |
2/1/2005 | 0.9 % |
4/1/2005 | 1.3 % |
6/1/2005 | 1 % |
8/1/2005 | 0.9 % |
9/1/2005 | 0.5 % |
10/1/2005 | 1.3 % |
11/1/2005 | 0.2 % |
1/1/2006 | 2.2 % |
2/1/2006 | 0.1 % |
3/1/2006 | 0.2 % |
8/1/2006 | 0.7 % |
9/1/2006 | 0.7 % |
10/1/2006 | 0.3 % |
12/1/2006 | 1.4 % |
1/1/2007 | 0.2 % |
3/1/2007 | 1 % |
5/1/2007 | 0.8 % |
6/1/2007 | 0.1 % |
7/1/2007 | 0.7 % |
10/1/2007 | 0.3 % |
11/1/2007 | 1 % |
3/1/2008 | 0.3 % |
4/1/2008 | 0.6 % |
5/1/2008 | 1.1 % |
6/1/2008 | 0.1 % |
7/1/2008 | 0.4 % |
1/1/2009 | 0.9 % |
4/1/2009 | 0.5 % |
5/1/2009 | 0.3 % |
6/1/2009 | 0.1 % |
9/1/2009 | 0.2 % |
10/1/2009 | 0.1 % |
11/1/2009 | 0.1 % |
12/1/2009 | 0.5 % |
2/1/2010 | 0.9 % |
3/1/2010 | 0.8 % |
4/1/2010 | 0.9 % |
6/1/2010 | 0.3 % |
8/1/2010 | 0.6 % |
9/1/2010 | 0.4 % |
10/1/2010 | 0.5 % |
11/1/2010 | 0.9 % |
12/1/2010 | 0.1 % |
1/1/2011 | 0.5 % |
2/1/2011 | 0.6 % |
3/1/2011 | 0.7 % |
4/1/2011 | 0.7 % |
6/1/2011 | 1.1 % |
8/1/2011 | 0.5 % |
9/1/2011 | 0.3 % |
10/1/2011 | 0.6 % |
11/1/2011 | 0.1 % |
1/1/2012 | 1.2 % |
2/1/2012 | 0.9 % |
3/1/2012 | 0.3 % |
7/1/2012 | 0.5 % |
8/1/2012 | 0.4 % |
9/1/2012 | 0.4 % |
11/1/2012 | 0.7 % |
12/1/2012 | 0.4 % |
1/1/2013 | 0.8 % |
2/1/2013 | 0.3 % |
5/1/2013 | 0.6 % |
7/1/2013 | 0.8 % |
9/1/2013 | 0.5 % |
10/1/2013 | 0.3 % |
11/1/2013 | 0.4 % |
12/1/2013 | 0.3 % |
2/1/2014 | 1 % |
3/1/2014 | 0.7 % |
4/1/2014 | 0.9 % |
5/1/2014 | 0.3 % |
6/1/2014 | 0.7 % |
7/1/2014 | 0.1 % |
8/1/2014 | 0.8 % |
9/1/2014 | 0.1 % |
10/1/2014 | 0.7 % |
11/1/2014 | 0.4 % |
12/1/2014 | 0.3 % |
1/1/2015 | 0.1 % |
3/1/2015 | 0.7 % |
4/1/2015 | 0.3 % |
5/1/2015 | 0.3 % |
7/1/2015 | 0.9 % |
8/1/2015 | 0.2 % |
11/1/2015 | 0.4 % |
12/1/2015 | 0.8 % |
2/1/2016 | 1.2 % |
4/1/2016 | 0.2 % |
5/1/2016 | 0.2 % |
6/1/2016 | 0.9 % |
8/1/2016 | 0.3 % |
9/1/2016 | 0.4 % |
10/1/2016 | 0.1 % |
11/1/2016 | 0.2 % |
12/1/2016 | 0.3 % |
1/1/2017 | 1.4 % |
2/1/2017 | 0.1 % |
3/1/2017 | 0.4 % |
4/1/2017 | 0.4 % |
6/1/2017 | 0.5 % |
8/1/2017 | 0.5 % |
9/1/2017 | 1 % |
11/1/2017 | 1.5 % |
12/1/2017 | 0.5 % |
2/1/2018 | 0.8 % |
4/1/2018 | 0.3 % |
5/1/2018 | 1.4 % |
7/1/2018 | 0.7 % |
10/1/2018 | 0.9 % |
11/1/2018 | 0.8 % |
1/1/2019 | 2 % |
3/1/2019 | 0.9 % |
4/1/2019 | 0.3 % |
5/1/2019 | 0.7 % |
6/1/2019 | 0.8 % |
7/1/2019 | 0.8 % |
8/1/2019 | 0.2 % |
10/1/2019 | 0.3 % |
11/1/2019 | 0.2 % |
12/1/2019 | 0.7 % |
1/1/2020 | 0.8 % |
2/1/2020 | 0.3 % |
5/1/2020 | 12.9 % |
6/1/2020 | 8.3 % |
7/1/2020 | 1.9 % |
8/1/2020 | 0.8 % |
9/1/2020 | 1.7 % |
1/1/2021 | 4.1 % |
3/1/2021 | 9 % |
4/1/2021 | 1 % |
6/1/2021 | 2.1 % |
8/1/2021 | 1.4 % |
9/1/2021 | 0.2 % |
10/1/2021 | 1.4 % |
11/1/2021 | 0.8 % |
1/1/2022 | 1.1 % |
2/1/2022 | 0.7 % |
3/1/2022 | 1.6 % |
4/1/2022 | 1.3 % |
5/1/2022 | 0.1 % |
6/1/2022 | 0.7 % |
8/1/2022 | 1.1 % |
9/1/2022 | 0.4 % |
10/1/2022 | 0.8 % |
1/1/2023 | 3.2 % |
4/1/2023 | 0.7 % |
5/1/2023 | 0.7 % |
6/1/2023 | 0.1 % |
7/1/2023 | 0.7 % |
8/1/2023 | 0.2 % |
9/1/2023 | 0.7 % |
10/1/2023 | 0.2 % |
11/1/2023 | 0.4 % |
12/1/2023 | 0.5 % |
2/1/2024 | 0.2 % |
3/1/2024 | 0.6 % |
5/1/2024 | 0.3 % |
6/1/2024 | 0.8 % |
7/1/2024 | 0.5 % |
9/1/2024 | 1.2 % |
10/1/2024 | 0.2 % |
Retail Sales Ex Gas and Autos Month-over-Month (MoM) History
Date | Value |
---|---|
10/1/2024 | 0.2 % |
9/1/2024 | 1.2 % |
7/1/2024 | 0.5 % |
6/1/2024 | 0.8 % |
5/1/2024 | 0.3 % |
3/1/2024 | 0.6 % |
2/1/2024 | 0.2 % |
12/1/2023 | 0.5 % |
11/1/2023 | 0.4 % |
10/1/2023 | 0.2 % |
Similar Macro Indicators to Retail Sales Ex Gas and Autos Month-over-Month (MoM)
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 Auto Loan Debt Balance | 1.616 Trillion USD | 1.607 Trillion USD | Quarter |
🇺🇸 Bank loan interest rate | 7.75 % | 8 % | Monthly |
🇺🇸 Consumer Confidence | 68.2 points | 69.1 points | Monthly |
🇺🇸 Consumer Loans | 6.4 B USD | 6.27 B USD | Monthly |
🇺🇸 Consumer spending | 16.106 T USD | 15.967 T USD | Quarter |
🇺🇸 Credit Balance Credit Cards | 1.115 Trillion USD | 1.129 Trillion USD | Quarter |
🇺🇸 Credit card accounts | 596.58 M | 594.75 M | Quarter |
🇺🇸 Current Economic Conditions in Michigan | 65.9 points | 69.6 points | Monthly |
🇺🇸 Disposable Personal Income | 21.856 T USD | 21.798 T USD | Monthly |
🇺🇸 Gasoline Prices | 0.81 USD/Liter | 0.83 USD/Liter | Monthly |
🇺🇸 Household Debt to GDP | 72.9 % of GDP | 73.4 % of GDP | Quarter |
🇺🇸 Index of Economic Optimism | 44.2 points | 40.5 points | Monthly |
🇺🇸 Michigan Consumer Expectations | 69.6 points | 68.8 points | Monthly |
🇺🇸 Mortgage Debt | 12.59 Trillion USD | 12.52 Trillion USD | Quarter |
🇺🇸 Personal Expenses | 0.2 % | 0.1 % | Monthly |
🇺🇸 Personal Income | 0.6 % | 0.3 % | Monthly |
🇺🇸 Personal Savings | 3.6 % | 3.6 % | Monthly |
🇺🇸 Private Sector Credit | 12.548 T USD | 12.52 T USD | Monthly |
🇺🇸 Redbook Index | 5.8 % | 5.3 % | frequency_weekly |
🇺🇸 Retail Sales Excluding Autos | 0.4 % | 0.1 % | Monthly |
🇺🇸 Retail Sales MoM | 0.1 % | -0.2 % | Monthly |
🇺🇸 Retail Sales YoY | 3.8 % | 2.9 % | Monthly |
🇺🇸 Sales of retail stores | 2.332 B USD | 2.317 B USD | Monthly |
🇺🇸 Student Loan Debt Balance | 1.6 Trillion USD | 1.601 Trillion USD | Quarter |
🇺🇸 Total Debt Balance | 17.7 USD Trillion | 17.503 USD Trillion | Quarter |
🇺🇸 Used Car Prices MoM | 1.3 % | -0.1 % | Monthly |
🇺🇸 Used Car Prices YoY | -12.1 % | -14 % | Monthly |
Retail Sales Ex Gas and Autos in the US presents a comprehensive measure of retail goods and services sales, excluding motor vehicle dealers and gasoline stations, over a monthly period.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Retail Sales Ex Gas and Autos Month-over-Month (MoM)?
Retail Sales Ex Gas and Autos MoM is a critical metric in the macroeconomic landscape that offers deep insights into consumer spending habits and economic health. At Eulerpool, we understand that accurate, comprehensive data is the backbone of sound economic analysis, and as such, we provide professionals with precise and current macroeconomic indicators. Retail Sales Ex Gas and Autos MoM, which stands for month-over-month retail sales excluding the volatile categories of gasoline and automobiles, is an essential component of retail economic metrics. This index reflects the month-to-month percentage change in the total value of sales at the retail level, excluding gas stations and motor vehicles and parts dealers. This exclusion is vital because gas and auto sales can often obscure underlying sales trends due to their highly volatile and seasonally fluctuating natures. The significance of this measure lies in its ability to offer a more stable and accurate reflection of the core retail sector's performance. By focusing on the more stable aspects of retail sales, economists, analysts, and policymakers can develop a clearer picture of consumer behavior and spending patterns. Understanding this metric is particularly crucial for assessing the overall economic condition, crafting monetary policies, and making informed business decisions. For economists and analysts, the value of Retail Sales Ex Gas and Autos MoM extends beyond mere numbers. This metric provides critical context for evaluating the effectiveness of current economic policies, levels of consumer confidence, and the potential trajectory of economic growth. For instance, a consistent increase in retail sales might indicate rising consumer confidence and a growing economy, whereas a decline could signal economic challenges or weakening consumer sentiments. Retail Sales Ex Gas and Autos MoM is also a valuable tool for investors. Since consumer spending accounts for a significant portion of economic activity—often estimated to be about two-thirds of the GDP in the United States—trends in retail sales can signal changes in economic momentum. Investors can use this data to make more informed decisions about where to allocate resources, as periods of robust retail sales growth might present more profitable opportunities in consumer-focused sectors like retail, technology, and manufacturing. Retailers themselves can gain immense benefits from understanding the nuances of this metric. By examining month-to-month changes in retail sales excluding gas and autos, retailers can better plan inventory, optimize supply chains, and align their marketing strategies with current consumer trends. Furthermore, this data can help identify emerging market dynamics and shifts in consumer preferences, enabling retailers to stay competitive in an ever-changing market environment. From a policy-making perspective, Retail Sales Ex Gas and Autos MoM is instrumental in shaping economic policies. Central bankers, such as those at the Federal Reserve, closely monitor this index to gauge the effectiveness of monetary policies and to make decisions regarding interest rates. An uptick in retail sales might lead to concerns about inflationary pressures, potentially prompting a hike in interest rates to cool down the economy. Conversely, a slump in retail sales might provoke policy measures aimed at stimulating economic activity. The monthly frequency of this data release is another aspect that enhances its utility. Being a high-frequency indicator, Retail Sales Ex Gas and Autos MoM allows for timely and relevant insights into the health of the economy, enabling stakeholders to respond quickly to emerging trends. This attribute is particularly useful during periods of economic uncertainty or during transitions in economic cycles. Moreover, Retail Sales Ex Gas and Autos MoM can exhibit preliminary signs of broader economic trends. For example, if consumers begin to reduce their spending, this might be an early indicator of an approaching economic slowdown. Conversely, sustained increases in retail sales can be an early signal of economic recovery and expansion. By paying close attention to this data, analysts and policymakers can better anticipate and respond to economic shifts. Understanding the methodology behind this metric also adds to its value. The data is compiled from a monthly survey of retail establishments, ensuring that it is representative of the broader retail economy. Additionally, seasonal adjustments are applied to the data to account for predictable fluctuations, such as increased spending during holiday seasons, thereby providing a clearer view of underlying trends. Nevertheless, like all economic indicators, Retail Sales Ex Gas and Autos MoM should not be viewed in isolation. It works best when combined with other macroeconomic data, such as employment figures, inflation rates, and consumer sentiment indices, to paint a comprehensive picture of the economic landscape. This multifaceted approach allows for more robust and accurate economic forecasting. In conclusion, Retail Sales Ex Gas and Autos MoM is a pivotal economic indicator that provides invaluable insights into consumer spending and overall economic health. At Eulerpool, we are committed to providing detailed and up-to-date macroeconomic data to support professionals in making informed decisions. By focusing on the more stable categories within retail sales, this metric offers a clearer and more accurate reflection of consumer behavior and economic conditions. Its broad applications across economic analysis, investment decision-making, business strategy, and policy formulation underscore its fundamental importance in the realm of macroeconomic data.