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United States Grain Stocks Soy

Price

1.845 B Bushels
Change +/-
-1.155 B Bushels
Percentage Change
-47.68 %

The current value of the Grain Stocks Soy in United States is 1.845 B Bushels. The Grain Stocks Soy in United States decreased to 1.845 B Bushels on 3/1/2024, after it was 3 B Bushels on 12/1/2023. From 12/1/2012 to 6/1/2024, the average GDP in United States was 1.51 B Bushels. The all-time high was reached on 12/1/2018 with 3.74 B Bushels, while the lowest value was recorded on 9/1/2014 with 92 M Bushels.

Source: US Department of Agriculture

Grain Stocks Soy

  • 3 years

  • 5 years

  • 10 years

  • 25 Years

  • Max

Soybean Grain Reserves

Grain Stocks Soy History

DateValue
3/1/20241.845 B Bushels
12/1/20233 B Bushels
9/1/2023268 M Bushels
6/1/2023796 M Bushels
3/1/20231.685 B Bushels
12/1/20223.022 B Bushels
9/1/2022274 M Bushels
6/1/2022971 M Bushels
3/1/20221.931 B Bushels
12/1/20213.149 B Bushels
1
2
3
4
...
5

Similar Macro Indicators to Grain Stocks Soy

NameCurrentPreviousFrequency
🇺🇸
Automobile production
11.18 M Units11.73 M UnitsMonthly
🇺🇸
Bankruptcies
20,316 Companies18,926 CompaniesQuarter
🇺🇸
Business Climate
48.5 points48.7 pointsMonthly
🇺🇸
Business Inventories
0.5 %0.3 %Monthly
🇺🇸
Capacity Utilization
78.7 %78.2 %Monthly
🇺🇸
CFNAI Employment Index
0 points-0.05 pointsMonthly
🇺🇸
CFNAI Index for Personal Consumption and Housing
-0.02 points-0.02 pointsMonthly
🇺🇸
CFNAI Production Index
-0.28 %-0.02 %Monthly
🇺🇸
CFNAI Sales, Order, and Inventory Index
-0.02 %-0.01 %Monthly
🇺🇸
Changes in Inventory Levels
71.7 B USD17.7 B USDQuarter
🇺🇸
Chicago Fed National Activity Index
0.18 points-0.26 pointsMonthly
🇺🇸
Chicago PMI
46.1 points45.3 pointsMonthly
🇺🇸
Composite Leading Indicator
99.969 points99.991 pointsMonthly
🇺🇸
Composite PMI
54.4 points54.6 pointsMonthly
🇺🇸
Consistency Index
143.15 points142.9 pointsMonthly
🇺🇸
Corn Grain Reserves
4.993 B Bushels8.347 B BushelsQuarter
🇺🇸
Corporate profits
2.727 T USD2.803 T USDQuarter
🇺🇸
Dallas Fed Manufacturing Delivery Index
2.8 points-3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Employment Index
-2.9 points-5.3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Index
-15.1 points-19.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Prices Paid Index
21.5 points20.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Production Index
0.7 points-2.8 pointsMonthly
🇺🇸
Dallas Fed New Order Index
-1.3 points-2.2 pointsMonthly
🇺🇸
Dallas Fed Service Sector Revenue Index
7.7 points1.9 pointsMonthly
🇺🇸
Dallas Fed Services Index
-4.1 points-12.1 pointsMonthly
🇺🇸
Durable Goods Orders
0 %9.8 %Monthly
🇺🇸
Durable Goods Orders Excluding Defense
-0.2 %-0.5 %Monthly
🇺🇸
Durable Goods Orders Excluding Transportation
0.5 %-0.1 %Monthly
🇺🇸
Factory Orders
5 %-3.3 %Monthly
🇺🇸
Factory Orders Excluding Transportation
0.7 %0.4 %Monthly
🇺🇸
Grain Reserves Wheat
702 M Bushels1.087 B BushelsQuarter
🇺🇸
Industrial production
0.4 %-0.7 %Monthly
🇺🇸
Industrial Production MoM
0.9 %0 %Monthly
🇺🇸
ISM Manufacturing Backlog
43.6 points41.7 pointsMonthly
🇺🇸
ISM Manufacturing Deliveries
52.6 points49.8 pointsMonthly
🇺🇸
ISM Manufacturing Employment
49.3 points51.1 pointsMonthly
🇺🇸
ISM Manufacturing Inventory Levels
50.3 points44.5 pointsMonthly
🇺🇸
ISM Manufacturing Prices
52.1 points57 pointsMonthly
🇺🇸
ISM Manufacturing Production
45.9 points48.5 pointsMonthly
🇺🇸
ISM New Orders Manufacturing
49.3 points45.4 pointsMonthly
🇺🇸
ISM New Orders Non-Manufacturing
54.1 points52.2 pointsMonthly
🇺🇸
ISM Non-Manufacturing Business Activity
53.3 points54.5 pointsMonthly
🇺🇸
ISM Non-Manufacturing Employment
47.1 points45.9 pointsMonthly
🇺🇸
ISM Non-Manufacturing Prices
58.1 points59.2 pointsMonthly
🇺🇸
Kansas Fed Composite Index
-8 points-2 pointsMonthly
🇺🇸
Kansas Fed Employment Index
-7 points-12 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
-11 points-1 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
-13 points-6 pointsMonthly
🇺🇸
Kansas Fed Manufacturing Index
-1 points-18 pointsMonthly
🇺🇸
Kansas Fed Paid Prices Index
19 points18 pointsMonthly
🇺🇸
Leading Indicator
101.2 points101.7 pointsMonthly
🇺🇸
LMI Logistics Manager Index Future
66.1 points65.5 pointsMonthly
🇺🇸
LMI Storage Costs
63.6 points65.2 pointsMonthly
🇺🇸
LMI Transport Prices
61 points57.8 pointsMonthly
🇺🇸
LMI Warehouse Prices
64.5 points64.9 pointsMonthly
🇺🇸
LMI-Logistics Manager Index
56.5 points55.3 pointsMonthly
🇺🇸
Manufacturing PMI
51.6 points51.3 pointsMonthly
🇺🇸
Manufacturing Production
0.2 %-0.7 %Monthly
🇺🇸
Manufacturing Production MoM
0.9 %-0.4 %Monthly
🇺🇸
Mining Production
0.1 %-1.1 %Monthly
🇺🇸
New Orders
592.14 B USD563.972 B USDMonthly
🇺🇸
NFIB Business Optimism Index
90.5 points89.7 pointsMonthly
🇺🇸
NY Empire State Employment Index
-8.7 points-6.4 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
-6 points-15.6 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
-1 points-16.5 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
3.3 points-1.2 pointsMonthly
🇺🇸
NY Empire State Prices Paid Index
23.2 points23.4 pointsMonthly
🇺🇸
Orders for Capital Goods Excluding Defense and Aircraft
1 %-0.9 %Monthly
🇺🇸
Philadelphia Fed Manufacturing Index
1.3 points4.5 pointsMonthly
🇺🇸
Philly Fed Business Climate
15.8 points15.4 pointsMonthly
🇺🇸
Philly Fed CAPEX Index
12.1 points20.1 pointsMonthly
🇺🇸
Philly Fed Employment
-2.5 points-7.9 pointsMonthly
🇺🇸
Philly Fed New Orders
-2.2 points-7.9 pointsMonthly
🇺🇸
Philly Fed Prices Paid
22.5 points18.7 pointsMonthly
🇺🇸
PMI Non-Manufacturing Sector
53.8 points49.4 pointsMonthly
🇺🇸
Retail Inventory Excluding Autos
0.4 %0.5 %Monthly
🇺🇸
Richmond Fed Manufacturing Index
-10 points0 pointsMonthly
🇺🇸
Richmond Fed Manufacturing Shipments
-9 points13 pointsMonthly
🇺🇸
Richmond Fed Services Index
-1 points-11 pointsMonthly
🇺🇸
Services PMI
55.1 points54.8 pointsMonthly
🇺🇸
Steel production
7 M Tonnes6.9 M TonnesMonthly
🇺🇸
Total Vehicle Sales
15.13 M 15.82 M Monthly
🇺🇸
Vehicle Registrations
279,800 261,300 Monthly
🇺🇸
Wholesale Inventory Levels
0.6 %0.2 %Monthly

What is Grain Stocks Soy?

Grain Stocks Soy: An In-depth Analysis for Informed Macroeconomic Insights Eulerpool, your go-to destination for comprehensive macroeconomic data, brings you detailed and professional insights into the Grain Stocks Soy category. Our objective is to ensure that investors, analysts, policymakers, and all interested stakeholders have access to reliable and up-to-date information. The importance of tracking grain stocks, particularly soy, cannot be overstated due to its significant implications for global food security, commodity markets, and economic policy decisions. Understanding Grain Stocks Soy is crucial for a multitude of reasons. Soybeans are one of the most valuable and widely grown crops worldwide, serving as a primary source of both protein and oil. They are a key ingredient in livestock feed, human food products, and biodiesel. Consequently, the supply and demand dynamics of soybeans can influence a variety of economic sectors, from agriculture to energy, impacting prices, trade balances, and even geopolitical relations. The global significance of soybeans means that fluctuations in grain stocks can have far-reaching effects. For instance, a reduction in soybean stocks can lead to increased prices, impacting the affordability of food and livestock feed. On the other hand, an oversupply can depress prices, affecting farmers’ incomes and potentially leading to lower agricultural investments. Therefore, accurate and timely data on grain stocks are essential for making informed decisions in both public and private sectors. At Eulerpool, we strive to provide our users with a detailed understanding of the factors that affect soy stocks. Key among these are production levels, consumption rates, and trade patterns. Production levels are influenced by factors such as weather conditions, technological advancements, and agricultural policies. Adverse weather conditions, such as droughts or floods, can significantly impact soy yields, leading to lower production and hence, reduced stocks. The adoption of advanced agricultural techniques and technologies can mitigate some of these risks by increasing yields and reducing losses. For example, genetically modified (GM) soybeans that are resistant to pests and diseases can lead to higher production levels. Additionally, policy measures such as subsidies, tariffs, and trade agreements can also influence production by affecting farmers’ incentives and access to markets. Consumption rates are another critical determinant of grain stocks. The demand for soybeans primarily comes from the food and feed industries. In recent years, there has been a growing interest in plant-based diets, which has increased the demand for soy products as a protein source. Moreover, the livestock industry relies heavily on soymeal as a key component of animal feed. Any changes in consumption patterns, whether due to shifts in dietary preferences, population growth, or changes in livestock production, can have a significant impact on soy stocks. International trade plays a pivotal role in balancing global supply and demand. Countries with surplus production export soybeans to those with deficits, ensuring a more efficient allocation of resources. However, trade can be affected by a range of factors, including tariffs, trade agreements, and geopolitical tensions. For instance, trade disputes between major producers and consumers can lead to disruptions in supply chains, affecting the availability and prices of soybeans on the global market. Examining the interplay between these factors provides valuable insights into future trends in grain stocks. For example, if a major producing country faces an adverse weather event leading to lower yields, we can anticipate a potential increase in prices due to reduced supply. Conversely, a breakthrough in agricultural technology that significantly boosts yields could lead to an oversupply and subsequent price reductions. At Eulerpool, we utilize advanced data analytics and modeling techniques to forecast future trends in grain stocks. By analyzing historical data and current market conditions, we can provide our users with actionable insights to inform their decisions. Our platform offers real-time updates on production levels, consumption rates, and trade data, ensuring that you have access to the most up-to-date information. In addition to quantitative data, qualitative analysis is also crucial for understanding the broader context. For instance, examining policy developments, technological advancements, and geopolitical events can provide a deeper understanding of the factors driving changes in grain stocks. At Eulerpool, we offer comprehensive reports that combine both quantitative and qualitative analysis, providing a holistic view of the market. To ensure that our users derive maximum value from our platform, we also offer a range of tools and resources. Our interactive dashboards allow users to customize their data views, enabling them to focus on the specific metrics that matter most to them. Furthermore, our team of experts is always on hand to provide personalized support and insights, ensuring that you have the information you need to make informed decisions. In conclusion, understanding Grain Stocks Soy is essential for anyone involved in the agricultural sector, food industry, commodity markets, or economic policy. At Eulerpool, we are committed to providing our users with the most reliable and up-to-date information, along with deep analysis and actionable insights. By leveraging our platform, you can stay informed about the latest developments in the soy market, anticipate future trends, and make data-driven decisions. Whether you are a farmer, investor, analyst, or policymaker, Eulerpool is your trusted partner for all your macroeconomic data needs.