Key Takeaways
- WTO reports world agricultural merchandise imports were $1,559.6 billion in 2022 (trade flow value)
- USDA FAS reports 2023/24 U.S. soybean exports at 1.86 billion bushels (trade quantity)
- Reuters reports the EU’s soybean import dependence for crushing is significant; EU soybean imports reached 11.8 million tonnes in 2022/23 season (trade volume figure)
- 55% of global food losses occur at the post-harvest and processing stages (FAO, 2011 estimate for food loss distribution)
- OECD estimates about 30% of food produced for human consumption is lost or wasted (waste rate metric)
- FAO estimates food loss for roots and tubers is higher at about 30% globally (loss rate by commodity group)
- EU Common Agricultural Policy accounts for about €387 billion (current period spending) (budget scale affecting trade policies)
- OECD reports that agricultural support is about 18% of gross farm receipts in OECD countries (support intensity measure)
- USDA reports 70% of U.S. agricultural producers have access to federal crop insurance (coverage access metric)
- UNCTAD reports that global container freight rates fell by about 60% from 2021 peaks to 2022 averages (cost volatility measure)
- USDA ERS reports that U.S. farm milk receipts were $29.6 billion in 2022 (revenue metric affecting trade)
- Sea freight reliability: UNCTAD reports average delays during peak periods of 10–20 days (shipping disruptions measure)
- FAO Food Price Index averaged 143.7 points in 2021 (annual average index)
- Asian Development Bank reports global agricultural trade finance volumes support large agribusinesses; trade finance gap affects agriculture especially in developing markets (gap figure basis)
- Gartner reports that supply chain visibility solutions adoption reaches 20%–30% among enterprises (visibility tech adoption benchmark)
Global agricultural trade keeps expanding despite climate, logistics, and post harvest losses.
Global Trade
Global Trade Interpretation
Efficiency & Loss
Efficiency & Loss Interpretation
Policy & Regulation
Policy & Regulation Interpretation
Cost Analysis
Cost Analysis Interpretation
Supply Chain Metrics
Supply Chain Metrics Interpretation
Market & Pricing
Market & Pricing Interpretation
User Adoption
User Adoption Interpretation
Industry Trends
Industry Trends Interpretation
Trade Logistics
Trade Logistics Interpretation
Market Size
Market Size Interpretation
Performance Metrics
Performance Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Diana Reeves. (2026, February 13). Agricultural Trade Industry Statistics. Gitnux. https://gitnux.org/agricultural-trade-industry-statistics
Diana Reeves. "Agricultural Trade Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/agricultural-trade-industry-statistics.
Diana Reeves. 2026. "Agricultural Trade Industry Statistics." Gitnux. https://gitnux.org/agricultural-trade-industry-statistics.
References
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- 19wto.org/english/res_e/publications_e/wtr19_e.htm
- 20wto.org/english/res_e/booksp_e/wtr20_e.htm
- 2apps.fas.usda.gov/psdonline/app/index.html
- 3reuters.com/article/business/eu-soyoil-demand-curbs-soymeal-imports-amid-africa-competition-idUSL1N2VL2X7
- 4fao.org/faostat/en/
- 5fao.org/3/cb3373en/cb3373en.pdf
- 10fao.org/3/i2697e/i2697e.pdf
- 12fao.org/3/ca6030en/ca6030en.pdf
- 13fao.org/3/i7304e/i7304e.pdf
- 24fao.org/worldfoodsituation/foodpricesindex/en/
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- 33fao.org/3/y4252e/y4252e.pdf
- 42fao.org/3/ccff0f/ccff0f.pdf
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- 14agriculture.ec.europa.eu/common-agricultural-policy/cap-overview/cap-glance_en
- 16rma.usda.gov/News-Room/Fact-Sheets/
- 17rma.usda.gov/News-Room/Fact-Sheets/2022-Fact-Sheet.html
- 32rma.usda.gov/-/media/RMA/Brochures-and-Booklets/insurance-policies-and-coverage-levels.pdf
- 18ec.europa.eu/taxation_customs/dds2/taric/
- 21unctad.org/publication/review-maritime-transport-2022
- 23unctad.org/system/files/official-document/rmt2022_en.pdf
- 40unctad.org/system/files/official-document/rmt2020_en.pdf
- 22ers.usda.gov/data-products/dairy-data/?utm_source=redirect&utm_medium=web&utm_campaign=pricing
- 25adb.org/publications/trade-finance-developing-countries
- 26gartner.com/en/documents/3987394
- 27ibm.com/case-studies/ibm-food-trust-indonesia
- 28gs1.org/sites/default/files/docs/gs1_barcode_news_2019.pdf
- 31gs1.org/news/gs1-barcode-and-qr-code-technology/traceability
- 29sciencedirect.com/science/article/pii/S0308521X22004364
- 43sciencedirect.com/science/article/pii/S0306919221001677
- 35imarcgroup.com/agrifood-cold-chain-logistics-market
- 36microdata.worldbank.org/index.php/catalog/enterprise-surveys
- 37oecd.org/agriculture/topics/agricultural-environmental-indicators/
- 38theicsp.com/reports/cold-storage-investment-2023
- 39enterprisesurveys.org/en/enterprisesurveys
- 41drewry.co.uk/reports/the-world-container-index
- 44ipcc.ch/srccl/chapter/chapter-5/
- 45pnas.org/doi/10.1073/pnas.1612439114







