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United States Wholesale Inventories
Price
The current value of the Wholesale Inventories in United States is 0.2 %. The Wholesale Inventories in United States decreased to 0.2 % on 4/1/2024, after it was 0.2 % on 2/1/2024. From 2/1/1992 to 5/1/2024, the average GDP in United States was 0.41 %. The all-time high was reached on 2/1/2022 with 2.8 %, while the lowest value was recorded on 3/1/2009 with -1.9 %.
Wholesale Inventories ·
3 years
5 years
10 years
25 Years
Max
| Wholesale Inventory Levels | |
|---|---|
| 2/1/1992 | 0.5 % |
| 3/1/1992 | 0.6 % |
| 6/1/1992 | 2 % |
| 8/1/1992 | 0.3 % |
| 9/1/1992 | 0.4 % |
| 10/1/1992 | 0.1 % |
| 11/1/1992 | 0.9 % |
| 12/1/1992 | 0.8 % |
| 1/1/1993 | 0.3 % |
| 3/1/1993 | 0.8 % |
| 4/1/1993 | 0.4 % |
| 6/1/1993 | 0.2 % |
| 8/1/1993 | 1 % |
| 9/1/1993 | 0.5 % |
| 11/1/1993 | 0.5 % |
| 12/1/1993 | 0.8 % |
| 2/1/1994 | 0.8 % |
| 4/1/1994 | 0.4 % |
| 5/1/1994 | 1.7 % |
| 7/1/1994 | 1 % |
| 8/1/1994 | 0.7 % |
| 9/1/1994 | 0.8 % |
| 10/1/1994 | 1.4 % |
| 11/1/1994 | 0.7 % |
| 12/1/1994 | 1 % |
| 1/1/1995 | 1 % |
| 2/1/1995 | 0.8 % |
| 3/1/1995 | 1.1 % |
| 4/1/1995 | 1.1 % |
| 5/1/1995 | 0.4 % |
| 6/1/1995 | 0.6 % |
| 7/1/1995 | 1 % |
| 8/1/1995 | 0.1 % |
| 9/1/1995 | 0.5 % |
| 10/1/1995 | 0.4 % |
| 11/1/1995 | 0.1 % |
| 12/1/1995 | 0.1 % |
| 1/1/1996 | 0.6 % |
| 4/1/1996 | 1.4 % |
| 7/1/1996 | 0.1 % |
| 10/1/1996 | 0.3 % |
| 11/1/1996 | 0.1 % |
| 12/1/1996 | 0.1 % |
| 1/1/1997 | 1 % |
| 2/1/1997 | 0.1 % |
| 3/1/1997 | 0.6 % |
| 4/1/1997 | 0.1 % |
| 5/1/1997 | 0.6 % |
| 6/1/1997 | 1.7 % |
| 8/1/1997 | 0.4 % |
| 9/1/1997 | 0.9 % |
| 10/1/1997 | 0.4 % |
| 11/1/1997 | 0.8 % |
| 12/1/1997 | 0.9 % |
| 1/1/1998 | 0.2 % |
| 2/1/1998 | 1 % |
| 3/1/1998 | 0.7 % |
| 5/1/1998 | 0.7 % |
| 7/1/1998 | 0.1 % |
| 8/1/1998 | 0.9 % |
| 9/1/1998 | 0.6 % |
| 10/1/1998 | 0.3 % |
| 11/1/1998 | 0.6 % |
| 12/1/1998 | 0.5 % |
| 1/1/1999 | 0.1 % |
| 2/1/1999 | 0.8 % |
| 3/1/1999 | 0.3 % |
| 4/1/1999 | 0.1 % |
| 5/1/1999 | 0.2 % |
| 6/1/1999 | 0.1 % |
| 7/1/1999 | 1.1 % |
| 8/1/1999 | 0.2 % |
| 9/1/1999 | 0.5 % |
| 10/1/1999 | 1.1 % |
| 11/1/1999 | 1.3 % |
| 12/1/1999 | 0.5 % |
| 1/1/2000 | 0.9 % |
| 2/1/2000 | 0.6 % |
| 3/1/2000 | 0.7 % |
| 4/1/2000 | 0.9 % |
| 5/1/2000 | 0.6 % |
| 6/1/2000 | 0.6 % |
| 7/1/2000 | 0.3 % |
| 8/1/2000 | 0.3 % |
| 9/1/2000 | 0.1 % |
| 10/1/2000 | 0.7 % |
| 11/1/2000 | 0.7 % |
| 2/1/2001 | 0.1 % |
| 4/1/2001 | 0.5 % |
| 5/1/2001 | 0.4 % |
| 3/1/2002 | 0.1 % |
| 5/1/2002 | 0.1 % |
| 6/1/2002 | 0.3 % |
| 7/1/2002 | 0.8 % |
| 8/1/2002 | 0.2 % |
| 9/1/2002 | 0.4 % |
| 11/1/2002 | 0.1 % |
| 12/1/2002 | 0.9 % |
| 2/1/2003 | 0.3 % |
| 3/1/2003 | 0.4 % |
| 4/1/2003 | 0.2 % |
| 7/1/2003 | 0.1 % |
| 9/1/2003 | 0.3 % |
| 10/1/2003 | 1 % |
| 11/1/2003 | 0.3 % |
| 12/1/2003 | 0.7 % |
| 1/1/2004 | 0.1 % |
| 2/1/2004 | 1.3 % |
| 3/1/2004 | 0.6 % |
| 5/1/2004 | 1.1 % |
| 6/1/2004 | 0.9 % |
| 7/1/2004 | 1.8 % |
| 8/1/2004 | 1 % |
| 10/1/2004 | 1.6 % |
| 11/1/2004 | 1.2 % |
| 12/1/2004 | 0.2 % |
| 1/1/2005 | 1.5 % |
| 2/1/2005 | 0.5 % |
| 3/1/2005 | 0.5 % |
| 4/1/2005 | 0.9 % |
| 5/1/2005 | 0.2 % |
| 6/1/2005 | 0.4 % |
| 7/1/2005 | 0.4 % |
| 8/1/2005 | 0.5 % |
| 9/1/2005 | 0.4 % |
| 10/1/2005 | 0.9 % |
| 11/1/2005 | 0.4 % |
| 12/1/2005 | 1.2 % |
| 1/1/2006 | 0.4 % |
| 2/1/2006 | 0.9 % |
| 3/1/2006 | 0.5 % |
| 4/1/2006 | 1.2 % |
| 5/1/2006 | 0.8 % |
| 6/1/2006 | 0.8 % |
| 7/1/2006 | 0.9 % |
| 8/1/2006 | 0.9 % |
| 9/1/2006 | 0.5 % |
| 10/1/2006 | 0.6 % |
| 11/1/2006 | 1 % |
| 1/1/2007 | 0.3 % |
| 2/1/2007 | 0.4 % |
| 3/1/2007 | 0.6 % |
| 4/1/2007 | 0.4 % |
| 5/1/2007 | 0.3 % |
| 6/1/2007 | 0.4 % |
| 7/1/2007 | 0.2 % |
| 8/1/2007 | 0.3 % |
| 9/1/2007 | 0.7 % |
| 10/1/2007 | 0.3 % |
| 11/1/2007 | 1.2 % |
| 12/1/2007 | 1.3 % |
| 1/1/2008 | 1.3 % |
| 2/1/2008 | 1.2 % |
| 3/1/2008 | 0.1 % |
| 4/1/2008 | 1.6 % |
| 5/1/2008 | 0.6 % |
| 6/1/2008 | 1.4 % |
| 7/1/2008 | 1.3 % |
| 8/1/2008 | 0.9 % |
| 10/1/2009 | 0.4 % |
| 11/1/2009 | 1.5 % |
| 1/1/2010 | 0.1 % |
| 2/1/2010 | 0.4 % |
| 3/1/2010 | 0.6 % |
| 4/1/2010 | 0.3 % |
| 5/1/2010 | 0.5 % |
| 6/1/2010 | 0.5 % |
| 7/1/2010 | 1.3 % |
| 8/1/2010 | 1.3 % |
| 9/1/2010 | 1.5 % |
| 10/1/2010 | 2 % |
| 11/1/2010 | 0.8 % |
| 12/1/2010 | 1.6 % |
| 1/1/2011 | 0.8 % |
| 2/1/2011 | 1.2 % |
| 3/1/2011 | 1.1 % |
| 4/1/2011 | 0.6 % |
| 5/1/2011 | 2.2 % |
| 6/1/2011 | 1 % |
| 7/1/2011 | 0.7 % |
| 8/1/2011 | 0.4 % |
| 10/1/2011 | 1 % |
| 11/1/2011 | 0.3 % |
| 12/1/2011 | 1.4 % |
| 1/1/2012 | 0.4 % |
| 2/1/2012 | 1.4 % |
| 3/1/2012 | 0.3 % |
| 4/1/2012 | 0.8 % |
| 5/1/2012 | 0.2 % |
| 6/1/2012 | 0.6 % |
| 7/1/2012 | 1.2 % |
| 8/1/2012 | 0.4 % |
| 9/1/2012 | 1.1 % |
| 11/1/2012 | 1 % |
| 12/1/2012 | 0.2 % |
| 1/1/2013 | 0.8 % |
| 3/1/2013 | 0.1 % |
| 4/1/2013 | 0.4 % |
| 7/1/2013 | 0.3 % |
| 8/1/2013 | 0.8 % |
| 9/1/2013 | 0.6 % |
| 10/1/2013 | 1.1 % |
| 11/1/2013 | 0.9 % |
| 12/1/2013 | 0.5 % |
| 1/1/2014 | 0.6 % |
| 2/1/2014 | 0.7 % |
| 3/1/2014 | 0.9 % |
| 4/1/2014 | 0.8 % |
| 5/1/2014 | 0.2 % |
| 6/1/2014 | 0.3 % |
| 7/1/2014 | 0.1 % |
| 8/1/2014 | 0.7 % |
| 9/1/2014 | 0.3 % |
| 10/1/2014 | 0.7 % |
| 11/1/2014 | 0.8 % |
| 12/1/2014 | 0.2 % |
| 1/1/2015 | 0.1 % |
| 2/1/2015 | 0.6 % |
| 3/1/2015 | 0.4 % |
| 4/1/2015 | 0.1 % |
| 5/1/2015 | 0.6 % |
| 6/1/2015 | 0.8 % |
| 8/1/2015 | 0.2 % |
| 9/1/2015 | 0.3 % |
| 3/1/2016 | 0.2 % |
| 4/1/2016 | 0.9 % |
| 5/1/2016 | 0.4 % |
| 9/1/2016 | 0.3 % |
| 10/1/2016 | 0.2 % |
| 11/1/2016 | 0.7 % |
| 12/1/2016 | 0.6 % |
| 2/1/2017 | 0.2 % |
| 3/1/2017 | 0.2 % |
| 5/1/2017 | 0.5 % |
| 6/1/2017 | 0.8 % |
| 7/1/2017 | 0.5 % |
| 8/1/2017 | 0.7 % |
| 9/1/2017 | 0.6 % |
| 11/1/2017 | 0.6 % |
| 12/1/2017 | 0.1 % |
| 1/1/2018 | 0.9 % |
| 2/1/2018 | 0.7 % |
| 3/1/2018 | 0.2 % |
| 6/1/2018 | 0.1 % |
| 7/1/2018 | 0.4 % |
| 8/1/2018 | 1 % |
| 9/1/2018 | 0.7 % |
| 10/1/2018 | 0.6 % |
| 11/1/2018 | 0.3 % |
| 12/1/2018 | 1.1 % |
| 1/1/2019 | 0.9 % |
| 2/1/2019 | 0.4 % |
| 4/1/2019 | 1 % |
| 5/1/2019 | 0.2 % |
| 6/1/2019 | 0.1 % |
| 7/1/2020 | 0.1 % |
| 8/1/2020 | 0.5 % |
| 9/1/2020 | 0.7 % |
| 10/1/2020 | 1.3 % |
| 11/1/2020 | 0.1 % |
| 12/1/2020 | 0.4 % |
| 1/1/2021 | 1.4 % |
| 2/1/2021 | 0.9 % |
| 3/1/2021 | 0.9 % |
| 4/1/2021 | 0.8 % |
| 5/1/2021 | 1.4 % |
| 6/1/2021 | 1 % |
| 7/1/2021 | 1.1 % |
| 8/1/2021 | 1.3 % |
| 9/1/2021 | 1.4 % |
| 10/1/2021 | 2.3 % |
| 11/1/2021 | 1.5 % |
| 12/1/2021 | 2.6 % |
| 1/1/2022 | 1.5 % |
| 2/1/2022 | 2.8 % |
| 3/1/2022 | 2.5 % |
| 4/1/2022 | 2.4 % |
| 5/1/2022 | 2.2 % |
| 6/1/2022 | 1.6 % |
| 7/1/2022 | 0.6 % |
| 8/1/2022 | 1.3 % |
| 9/1/2022 | 0.3 % |
| 10/1/2022 | 0.6 % |
| 11/1/2022 | 0.6 % |
| 12/1/2023 | 0.5 % |
| 2/1/2024 | 0.2 % |
| 4/1/2024 | 0.2 % |
Wholesale Inventories History
| Date | Value |
|---|---|
| 4/1/2024 | 0.2 % |
| 2/1/2024 | 0.2 % |
| 12/1/2023 | 0.5 % |
| 11/1/2022 | 0.6 % |
| 10/1/2022 | 0.6 % |
| 9/1/2022 | 0.3 % |
| 8/1/2022 | 1.3 % |
| 7/1/2022 | 0.6 % |
| 6/1/2022 | 1.6 % |
| 5/1/2022 | 2.2 % |
Similar Macro Indicators to Wholesale Inventories
Wholesale Inventories represent the stock of unsold goods maintained by wholesalers. These inventories are a crucial element in the fluctuations of gross domestic product. A high inventory level can indicate an economic slowdown in the United States, whereas a low inventory level is suggestive of stronger economic growth.
Macro pages for other countries in America
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What is Wholesale Inventories?
Wholesale Inventories: An In-Depth Insight Wholesale inventories play a critical role in understanding the macroeconomic landscape, serving as a significant indicator of production activity and economic health. Here at Eulerpool, we strive to provide precise, comprehensive, and real-time macroeconomic data, and our coverage of wholesale inventories is no exception. This extensive analysis will delve into the nuances of wholesale inventories, exploring their definition, importance, implications, and interpretation in the macroeconomic context. Wholesale inventories refer to the stock of goods held by wholesalers that are yet to be sold to retailers or other consumers. As a subset of inventory data, wholesale inventories are pivotal because they bridge the gap between manufacturers and end consumers. This intermediate stage in the distribution chain reveals crucial information about supply chain dynamics, consumer demand trends, and overall economic activity. To appreciate the importance of wholesale inventories, one must understand the role wholesalers play within the supply chain. These entities purchase large quantities of goods from manufacturers, store them, and then distribute them in smaller amounts to retailers, businesses, or even other wholesalers. Wholesale inventories, therefore, reflect unsold stock at this intermediate distribution phase, offering a window into future retail activity and potential shifts in production. One primary reason wholesale inventories are keenly monitored is their ability to signal changes in economic momentum. When businesses anticipate an uptick in demand, they are likely to increase their wholesale orders, leading to a rise in wholesale inventories. Conversely, shrinking wholesale inventories may indicate a slowdown in economic activity, reduced consumer spending, or an imminent reduction in production levels. By analyzing trends in wholesale inventories, economists and investors can infer potential developments in consumer behavior, production rates, and overall economic growth. Another critical aspect of wholesale inventories is their impact on the production cycle. In periods of economic expansion, robust demand prompts higher production, which feeds into increased wholesale inventories. Conversely, during economic contractions, dwindling demand can lead to excess inventories, prompting businesses to cut back on new orders and slow down production to avoid overstocking. This cyclical relationship between wholesale inventories and production underscores the importance of inventory management for maintaining economic stability. Wholesale inventories also have implications for inflationary pressures. High levels of wholesale inventories coupled with sluggish demand can lead to discounting and downward pressure on prices as businesses seek to clear excess stock. On the other hand, low inventories during periods of high demand can lead to supply shortages and upward pressure on prices, contributing to inflation. Therefore, monitoring wholesale inventories helps policymakers and economists gauge potential inflationary or deflationary trends. Monitoring wholesale inventories is not just about assessing current economic conditions but also about predicting future economic activity. For instance, persistent increases in wholesale inventories might indicate manufacturers’ expectations of sustained or growing consumer demand, suggesting economic confidence. Conversely, persistent declines might imply caution as businesses foresee reduced demand, serving as a harbinger of economic slowdown. Analyzing wholesale inventories also involves examining their relationship with other inventory categories such as retail and manufacturing inventories. A holistic approach that accounts for inventories at different stages of the supply chain can provide a more accurate and detailed picture of the overall economic condition. By evaluating all stages of the supply chain, from production to retail, one can discern bottlenecks or surpluses that may require adjustments in production or pricing strategies. Wholesale inventories are also integral to national accounts and headline economic indicators. They are a component of the business inventory and investment data used to calculate Gross Domestic Product (GDP). Changes in inventory levels, including wholesale inventories, can contribute to either the accumulation or decumulation of stock, influencing GDP calculations. As such, large swings in wholesale inventory levels can significantly impact quarterly GDP figures, affecting market expectations and financial market movements. The data on wholesale inventories is typically released by national statistical agencies, including figures on the total value of goods held in stock by wholesalers. This data is often presented alongside sales figures, providing a ratio of inventory to sales that helps in assessing the efficiency and appropriateness of inventory levels relative to sales volumes. A rising inventory-to-sales ratio might suggest overstocking or weakening sales, whereas a falling ratio can indicate strong sales performance or potential inventory shortages. Further insight can be gained by segmenting wholesale inventory data by industry or product category. Different sectors can exhibit distinct inventory dynamics depending on factors like seasonality, consumer preferences, or supply chain characteristics. For instance, wholesale inventories in the automotive sector may behave differently from those in the consumer electronics sector due to divergent demand cycles and production processes. In conclusion, wholesale inventories are a crucial component of the macroeconomic framework, providing valuable insights into supply chain dynamics, economic prospects, and production cycles. At Eulerpool, we recognize the significance of accurate and timely wholesale inventory data for economists, investors, businesses, and policymakers. By meticulously tracking, analyzing, and presenting this data, we endeavor to support informed decision-making and foster a deeper understanding of the intricate workings of the economy. Whether you are an academic, a market analyst, a business owner, or a policy advisor, a nuanced comprehension of wholesale inventories is indispensable for navigating the complexities of macroeconomic analysis.