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United States Retail Sales Ex Autos
Price
The current value of the Retail Sales Ex Autos in United States is 0.1 %. The Retail Sales Ex Autos in United States decreased to 0.1 % on 5/1/2024, after it was 0.1 % on 4/1/2024. From 2/1/1992 to 6/1/2024, the average GDP in United States was 0.39 %. The all-time high was reached on 5/1/2020 with 12.8 %, while the lowest value was recorded on 4/1/2020 with -14.7 %.
Retail Sales Ex Autos ·
3 years
5 years
10 years
25 Years
Max
| Retail Sales Excluding Autos | |
|---|---|
| 4/1/1992 | 0.4 % |
| 5/1/1992 | 0.2 % |
| 7/1/1992 | 0.6 % |
| 8/1/1992 | 0.9 % |
| 9/1/1992 | 0.2 % |
| 10/1/1992 | 0.9 % |
| 11/1/1992 | 0.3 % |
| 12/1/1992 | 1.3 % |
| 1/1/1993 | 0.5 % |
| 4/1/1993 | 1.4 % |
| 5/1/1993 | 0.9 % |
| 7/1/1993 | 0.9 % |
| 9/1/1993 | 1 % |
| 10/1/1993 | 0.3 % |
| 11/1/1993 | 0.5 % |
| 12/1/1993 | 0.7 % |
| 2/1/1994 | 1.3 % |
| 3/1/1994 | 1.9 % |
| 5/1/1994 | 0.2 % |
| 6/1/1994 | 1.2 % |
| 7/1/1994 | 0.5 % |
| 8/1/1994 | 1.1 % |
| 9/1/1994 | 0.3 % |
| 10/1/1994 | 0.7 % |
| 12/1/1994 | 0.8 % |
| 1/1/1995 | 0.4 % |
| 3/1/1995 | 0.7 % |
| 4/1/1995 | 0.3 % |
| 5/1/1995 | 0.8 % |
| 6/1/1995 | 0.4 % |
| 7/1/1995 | 0.2 % |
| 8/1/1995 | 0.4 % |
| 9/1/1995 | 0.7 % |
| 11/1/1995 | 1.2 % |
| 12/1/1995 | 0.9 % |
| 2/1/1996 | 0.9 % |
| 3/1/1996 | 1.1 % |
| 4/1/1996 | 1 % |
| 5/1/1996 | 0.6 % |
| 6/1/1996 | 0.1 % |
| 8/1/1996 | 0.3 % |
| 9/1/1996 | 0.7 % |
| 10/1/1996 | 0.9 % |
| 11/1/1996 | 0.4 % |
| 12/1/1996 | 0.5 % |
| 1/1/1997 | 0.2 % |
| 2/1/1997 | 0.8 % |
| 3/1/1997 | 0.6 % |
| 6/1/1997 | 0.7 % |
| 7/1/1997 | 0.8 % |
| 8/1/1997 | 0.2 % |
| 9/1/1997 | 0.7 % |
| 11/1/1997 | 0.1 % |
| 12/1/1997 | 0.2 % |
| 1/1/1998 | 0.4 % |
| 2/1/1998 | 0.4 % |
| 3/1/1998 | 0.1 % |
| 4/1/1998 | 0.9 % |
| 5/1/1998 | 0.4 % |
| 6/1/1998 | 0.3 % |
| 7/1/1998 | 0.8 % |
| 8/1/1998 | 0.2 % |
| 10/1/1998 | 1 % |
| 11/1/1998 | 0.7 % |
| 12/1/1998 | 0.9 % |
| 1/1/1999 | 0.1 % |
| 2/1/1999 | 1 % |
| 3/1/1999 | 0.4 % |
| 4/1/1999 | 0.7 % |
| 5/1/1999 | 0.6 % |
| 6/1/1999 | 0.2 % |
| 7/1/1999 | 0.5 % |
| 8/1/1999 | 0.8 % |
| 9/1/1999 | 0.8 % |
| 10/1/1999 | 0.6 % |
| 11/1/1999 | 0.7 % |
| 12/1/1999 | 2.6 % |
| 2/1/2000 | 1.3 % |
| 3/1/2000 | 1.9 % |
| 5/1/2000 | 0.2 % |
| 6/1/2000 | 0.6 % |
| 7/1/2000 | 0.3 % |
| 8/1/2000 | 0.1 % |
| 9/1/2000 | 1.5 % |
| 11/1/2000 | 0.3 % |
| 12/1/2000 | 0.4 % |
| 1/1/2001 | 0.3 % |
| 4/1/2001 | 1.5 % |
| 5/1/2001 | 0.3 % |
| 8/1/2001 | 0.8 % |
| 10/1/2001 | 0.9 % |
| 11/1/2001 | 0.3 % |
| 12/1/2001 | 0.4 % |
| 1/1/2002 | 0.2 % |
| 2/1/2002 | 0.5 % |
| 3/1/2002 | 0.4 % |
| 4/1/2002 | 1.3 % |
| 6/1/2002 | 0.1 % |
| 7/1/2002 | 0.2 % |
| 10/1/2002 | 0.8 % |
| 11/1/2002 | 0.7 % |
| 12/1/2002 | 0.3 % |
| 1/1/2003 | 0.6 % |
| 3/1/2003 | 1.4 % |
| 5/1/2003 | 0.3 % |
| 6/1/2003 | 1.1 % |
| 7/1/2003 | 1 % |
| 8/1/2003 | 1.4 % |
| 10/1/2003 | 0.1 % |
| 11/1/2003 | 0.8 % |
| 12/1/2003 | 0.2 % |
| 1/1/2004 | 1.1 % |
| 2/1/2004 | 0.1 % |
| 3/1/2004 | 1.9 % |
| 5/1/2004 | 1.1 % |
| 7/1/2004 | 0.5 % |
| 8/1/2004 | 0.1 % |
| 9/1/2004 | 0.9 % |
| 10/1/2004 | 1.2 % |
| 11/1/2004 | 0.6 % |
| 12/1/2004 | 0.8 % |
| 2/1/2005 | 1 % |
| 3/1/2005 | 0.1 % |
| 4/1/2005 | 1.3 % |
| 6/1/2005 | 1.2 % |
| 7/1/2005 | 0.2 % |
| 8/1/2005 | 1.7 % |
| 9/1/2005 | 1.4 % |
| 10/1/2005 | 1.1 % |
| 1/1/2006 | 2.4 % |
| 3/1/2006 | 0.2 % |
| 4/1/2006 | 0.5 % |
| 7/1/2006 | 0.2 % |
| 8/1/2006 | 0.9 % |
| 11/1/2006 | 0.1 % |
| 12/1/2006 | 1.8 % |
| 3/1/2007 | 1.2 % |
| 5/1/2007 | 1.3 % |
| 7/1/2007 | 0.5 % |
| 9/1/2007 | 0.3 % |
| 10/1/2007 | 0.7 % |
| 11/1/2007 | 1.8 % |
| 1/1/2008 | 0.1 % |
| 3/1/2008 | 0.4 % |
| 4/1/2008 | 0.5 % |
| 5/1/2008 | 1.4 % |
| 6/1/2008 | 0.8 % |
| 7/1/2008 | 0.4 % |
| 1/1/2009 | 1.1 % |
| 2/1/2009 | 0.1 % |
| 4/1/2009 | 0.4 % |
| 5/1/2009 | 0.9 % |
| 6/1/2009 | 1.1 % |
| 8/1/2009 | 0.6 % |
| 9/1/2009 | 0.2 % |
| 10/1/2009 | 0.1 % |
| 11/1/2009 | 0.6 % |
| 12/1/2009 | 0.7 % |
| 2/1/2010 | 0.6 % |
| 3/1/2010 | 0.8 % |
| 4/1/2010 | 0.8 % |
| 8/1/2010 | 0.6 % |
| 9/1/2010 | 0.8 % |
| 10/1/2010 | 0.8 % |
| 11/1/2010 | 1 % |
| 12/1/2010 | 0.7 % |
| 1/1/2011 | 0.6 % |
| 2/1/2011 | 0.7 % |
| 3/1/2011 | 1 % |
| 4/1/2011 | 0.9 % |
| 5/1/2011 | 0.2 % |
| 6/1/2011 | 0.7 % |
| 8/1/2011 | 0.5 % |
| 9/1/2011 | 0.3 % |
| 10/1/2011 | 0.4 % |
| 11/1/2011 | 0.3 % |
| 1/1/2012 | 1.2 % |
| 2/1/2012 | 1.2 % |
| 3/1/2012 | 0.4 % |
| 7/1/2012 | 0.3 % |
| 8/1/2012 | 1.2 % |
| 9/1/2012 | 0.6 % |
| 10/1/2012 | 0.1 % |
| 11/1/2012 | 0.3 % |
| 12/1/2012 | 0.1 % |
| 1/1/2013 | 0.8 % |
| 2/1/2013 | 1.1 % |
| 5/1/2013 | 0.3 % |
| 7/1/2013 | 0.7 % |
| 9/1/2013 | 0.4 % |
| 10/1/2013 | 0.1 % |
| 11/1/2013 | 0.3 % |
| 12/1/2013 | 0.8 % |
| 2/1/2014 | 1 % |
| 3/1/2014 | 0.4 % |
| 4/1/2014 | 0.9 % |
| 5/1/2014 | 0.2 % |
| 6/1/2014 | 0.3 % |
| 7/1/2014 | 0.1 % |
| 8/1/2014 | 0.7 % |
| 10/1/2014 | 0.3 % |
| 2/1/2015 | 0.2 % |
| 3/1/2015 | 0.8 % |
| 4/1/2015 | 0.1 % |
| 5/1/2015 | 0.7 % |
| 6/1/2015 | 0.1 % |
| 7/1/2015 | 0.9 % |
| 11/1/2015 | 0.2 % |
| 12/1/2015 | 0.6 % |
| 2/1/2016 | 0.6 % |
| 3/1/2016 | 0.1 % |
| 4/1/2016 | 0.4 % |
| 5/1/2016 | 0.4 % |
| 6/1/2016 | 1.2 % |
| 9/1/2016 | 0.6 % |
| 10/1/2016 | 0.4 % |
| 11/1/2016 | 0.1 % |
| 12/1/2016 | 0.8 % |
| 1/1/2017 | 1.4 % |
| 2/1/2017 | 0.1 % |
| 3/1/2017 | 0.3 % |
| 4/1/2017 | 0.3 % |
| 6/1/2017 | 0.3 % |
| 8/1/2017 | 0.8 % |
| 9/1/2017 | 1.5 % |
| 11/1/2017 | 1.6 % |
| 12/1/2017 | 0.7 % |
| 2/1/2018 | 0.8 % |
| 4/1/2018 | 0.4 % |
| 5/1/2018 | 1.4 % |
| 7/1/2018 | 0.6 % |
| 8/1/2018 | 0.1 % |
| 10/1/2018 | 1.2 % |
| 11/1/2018 | 0.2 % |
| 1/1/2019 | 1.6 % |
| 3/1/2019 | 1.3 % |
| 4/1/2019 | 0.6 % |
| 5/1/2019 | 0.4 % |
| 6/1/2019 | 0.3 % |
| 7/1/2019 | 0.9 % |
| 8/1/2019 | 0.2 % |
| 10/1/2019 | 0.4 % |
| 11/1/2019 | 0.1 % |
| 12/1/2019 | 0.9 % |
| 1/1/2020 | 0.5 % |
| 5/1/2020 | 12.8 % |
| 6/1/2020 | 8.7 % |
| 7/1/2020 | 2.1 % |
| 8/1/2020 | 0.9 % |
| 9/1/2020 | 1.6 % |
| 12/1/2020 | 0.6 % |
| 1/1/2021 | 4.2 % |
| 3/1/2021 | 9.2 % |
| 4/1/2021 | 0.6 % |
| 6/1/2021 | 2.1 % |
| 8/1/2021 | 1.5 % |
| 9/1/2021 | 0.5 % |
| 10/1/2021 | 1.6 % |
| 11/1/2021 | 0.9 % |
| 1/1/2022 | 0.8 % |
| 2/1/2022 | 1.1 % |
| 3/1/2022 | 2.8 % |
| 4/1/2022 | 1.3 % |
| 5/1/2022 | 0.6 % |
| 6/1/2022 | 0.8 % |
| 8/1/2022 | 0.1 % |
| 10/1/2022 | 1.1 % |
| 1/1/2023 | 2.9 % |
| 4/1/2023 | 0.5 % |
| 5/1/2023 | 0.4 % |
| 7/1/2023 | 0.6 % |
| 8/1/2023 | 0.8 % |
| 9/1/2023 | 0.8 % |
| 12/1/2023 | 0.3 % |
| 2/1/2024 | 0.3 % |
| 3/1/2024 | 0.6 % |
| 4/1/2024 | 0.1 % |
| 5/1/2024 | 0.1 % |
Retail Sales Ex Autos History
| Date | Value |
|---|---|
| 5/1/2024 | 0.1 % |
| 4/1/2024 | 0.1 % |
| 3/1/2024 | 0.6 % |
| 2/1/2024 | 0.3 % |
| 12/1/2023 | 0.3 % |
| 9/1/2023 | 0.8 % |
| 8/1/2023 | 0.8 % |
| 7/1/2023 | 0.6 % |
| 5/1/2023 | 0.4 % |
| 4/1/2023 | 0.5 % |
Similar Macro Indicators to Retail Sales Ex Autos
| Name | Current | Previous | Frequency |
|---|---|---|---|
🇺🇸 Auto Loan Debt Balance | 1.616 Trillion USD | 1.607 Trillion USD | Quarter |
🇺🇸 Bank loan interest rate | 8 % | 8 % | Monthly |
🇺🇸 Consumer Confidence | 68.2 points | 69.1 points | Monthly |
🇺🇸 Consumer Loans | 6.4 B USD | 6.27 B USD | Monthly |
🇺🇸 Consumer spending | 16.112 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 | 0.83 USD/Liter | 0.85 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 | 0.3 % | 0.2 % | Monthly |
🇺🇸 Personal Savings | 3.6 % | 3.6 % | Monthly |
🇺🇸 Private Sector Credit | 12.556 T USD | 12.485 T USD | Monthly |
🇺🇸 Redbook Index | 5.8 % | 5.3 % | frequency_weekly |
🇺🇸 Retail Sales Excluding Gas and Autos MoM | 0.1 % | 1.2 % | Monthly |
🇺🇸 Retail Sales MoM | 0.1 % | -0.2 % | Monthly |
🇺🇸 Retail Sales YoY | 2.8 % | 2 % | 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 | -0.1 % | -0.5 % | Monthly |
🇺🇸 Used Car Prices YoY | -12.1 % | -14 % | Monthly |
The Retail Sales Ex Autos report in the US offers an aggregated measure of retail goods and services sales, excluding the automobile sector, 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 Autos?
Retail sales, an integral component of macroeconomic analysis, offer deep insights into consumer behavior, economic health, and market trends. However, to paint a more nuanced picture, economists and analysts often strip out automobile sales, focusing specifically on what's referred to as 'Retail Sales Ex Autos.' This refined category holds significant relevance for various stakeholders, including policymakers, investors, and business leaders. At Eulerpool, we specialize in presenting detailed and comprehensive macroeconomic data, and our focus on 'Retail Sales Ex Autos' aims to provide an in-depth understanding of this vital economic indicator. Retail sales, in general, cover a broad range of goods and services that consumers purchase in the marketplace. However, the inclusion of automobile sales can skew the data due to their high price and more infrequent purchase patterns. Removing automotive sales from the equation helps in offering a clearer, more stable view of consumer spending. By doing so, 'Retail Sales Ex Autos' becomes an indicator that better reflects the core retail environment, largely unaffected by the volatility that car sales introduce. One cannot overstate the importance of analyzing retail sales excluding automobiles. While car sales themselves are an important economic indicator, separating them provides a more accurate measure of day-to-day consumer spending and trends in other retail sectors. Areas such as clothing, electronics, food and beverage, and home goods become more visible and understandable. These sectors are critical as they regularly account for a more substantial proportion of consumer expenditure, and trends in these areas can offer early signals about changes in the broader economic landscape. For policymakers, understanding 'Retail Sales Ex Autos' is vital. These figures help in framing fiscal and monetary policies that aim to stabilize or stimulate the economy. Higher retail sales numbers excluding automobiles usually point to increased consumer confidence and disposable income, suggesting a growing economy. Conversely, a decline may indicate economic trouble, warranting intervention such as interest rate adjustments or tax incentives to revive consumer spending. Investors also find the 'Retail Sales Ex Autos' data crucial. Stock markets and financial portfolios are sensitive to consumer behavior. A positive trend in these sales can lead to bullish markets as investors anticipate higher company earnings and economic growth. Retail stocks, in particular, respond to changes in these numbers, making them a key metric in investment strategies. Investors often use this data to predict performance in sectors directly tied to consumer spending, thereby making informed decisions about asset allocation. Businesses, particularly those in the retail sector, rely on 'Retail Sales Ex Autos' data to make strategic decisions. For manufacturers, suppliers, and retailers, understanding consumer demand and spending patterns is fundamental. This data informs inventory management, marketing strategies, pricing policies, and expansion plans. For example, a steady increase in retail sales excluding autos may encourage a retailer to roll out more stores or stock more high-demand items. On the other hand, a decline might lead to a reevaluation of marketing tactics or cost-cutting measures to maintain profitability. Diving deeper into the metrics of 'Retail Sales Ex Autos,' one must consider various factors affecting these numbers. Economic conditions, consumer confidence, employment rates, and household incomes play pivotal roles. Promotional events, seasonal changes, and holidays also cause fluctuations. Therefore, it's essential to look at these numbers in context and consider month-over-month and year-over-year comparisons to discern true patterns and trends. Moreover, it is pertinent to recognize that geographical and demographic variations can impact retail sales. Urban areas may exhibit different spending behaviors compared to rural settings, influenced by variations in income levels, population density, and availability of retail outlets. Similarly, age and demographics of the population, such as millennials or baby boomers, bring distinct spending habits that color the overall retail sales picture. Online sales represent another critical segment within 'Retail Sales Ex Autos,' reflecting the increasing consumer shift towards e-commerce. The growth of online shopping has become a significant trend, driven by convenience, broader selections, and sometimes better pricing. This shift prompts traditional brick-and-mortar retailers to incorporate omnichannel strategies to capture both online and offline sales effectively. International trade dynamics also have a significant bearing on retail sales. Import tariffs, changes in trade policies, and currency fluctuations can affect the pricing of goods, thereby influencing consumer purchasing decisions. A stronger domestic currency, for example, makes imported goods cheaper, potentially boosting retail sales of such items. At Eulerpool, our commitment is to present 'Retail Sales Ex Autos' data with utmost accuracy and clarity, aiding you in making informed decisions based on reliable information. Our platform is designed to provide comprehensive analytics, intuitive visualizations, and real-time updates, ensuring that you remain at the forefront of market trends and economic shifts. In conclusion, 'Retail Sales Ex Autos' is a critical economic indicator that provides insightful data into the overall health and direction of the economy. By filtering out the effects of automobile sales, this metric offers a clearer view of general consumer behavior and spending habits. Whether you are a policymaker, investor, or business leader, understanding and analyzing this data can significantly enhance your decision-making process. At Eulerpool, we strive to deliver detailed and actionable macroeconomic data, empowering you with the insights required to navigate the complexities of the economic landscape effectively.