Key Takeaways
- 4.7% expected growth in global merchandise trade volume in 2022 (UNCTAD estimate)
- 8.0% year-over-year growth in global merchandise trade volume in 2023 (WTO estimate)
- $6.9 trillion global trade in manufactured goods in 2023 (WTO)
- 1.2 billion containers are handled by ports worldwide each year (UNCTAD)
- Global liner shipping connectivity remained 16% below 2019 levels in 2022 (UNCTAD)
- 0.5% of global cross-border shipments used air transport in 2022 (UNCTAD)
- $7.2 trillion global services imports in 2022 (WTO)
- Hong Kong SAR, China accounted for 3.2% of global merchandise exports in 2023 (WTO)
- 2023 global container port throughput reached 890.0 million TEU (estimate), up 3.4% versus 2022.
- WTO notes that environmental goods trade has grown substantially; global exports of environmental goods reached about $1.1 trillion in 2022 (WTO)
- 6.1% of total global CO2 emissions come from international shipping (IEA estimate, 2023)
- At least 40% of global plastic waste is mismanaged (OECD/UNEP reporting relevant to trade of plastic)
- 6.5% of world merchandise trade value is estimated to be lost to tariffs (WTO)
- 6.1% average tariff rate on non-agricultural products applied by WTO members (WTO data)
- Non-tariff measures account for an estimated 12%–20% increase in trade costs for many goods (OECD estimate)
Global merchandise trade is rebounding but tariffs and non-tariff frictions still raise costs and slow logistics worldwide.
Related reading
Trade Volume
Trade Volume Interpretation
Logistics And Transport
Logistics And Transport Interpretation
More related reading
Market Size
Market Size Interpretation
Sustainability And Compliance
Sustainability And Compliance Interpretation
More related reading
Trade Costs And Tariffs
Trade Costs And Tariffs Interpretation
Technology And Customs
Technology And Customs Interpretation
More related reading
Trade Performance
Trade Performance Interpretation
Cost Analysis
Cost Analysis Interpretation
More related reading
Technology & Compliance
Technology & Compliance Interpretation
Industry Trends
Industry Trends 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.
Helena Kowalczyk. (2026, February 13). Global Trade Statistics. Gitnux. https://gitnux.org/global-trade-statistics
Helena Kowalczyk. "Global Trade Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-trade-statistics.
Helena Kowalczyk. 2026. "Global Trade Statistics." Gitnux. https://gitnux.org/global-trade-statistics.
References
- 1unctad.org/system/files/official-document/ditctab2022d3_en.pdf
- 6unctad.org/system/files/official-document/rmt2024_en.pdf
- 7unctad.org/system/files/official-document/rmt2023_en.pdf
- 8unctad.org/system/files/official-document/tdstat47_en.pdf
- 10unctad.org/system/files/official-document/rmt2022_en.pdf
- 14unctad.org/system/files/official-document/rmt2023_en.pdf
- 30unctad.org/news/90-cent-global-trade-goes-sea
- 32unctad.org/system/files/official-document/dtlpc2023d4_en.pdf
- 2wto.org/english/news_e/pres23_e/pr913_e.htm
- 3wto.org/english/news_e/pres24_e/pr956_e.htm
- 4wto.org/english/res_e/booksp_e/wts2024_e/wts24_ch2_e.pdf
- 5wto.org/english/res_e/booksp_e/world_trade_report_e/wtr2023_e.htm
- 12wto.org/english/res_e/statis_e/wts2023_e.htm
- 13wto.org/english/res_e/statis_e/wts2024_e/wts24_ch1_e.pdf
- 16wto.org/english/news_e/news24_e/wtmt_24_mar_e.htm
- 17wto.org/english/res_e/statis_e/services_trade_e.htm
- 18wto.org/english/res_e/booksp_e/wts2023_e.htm
- 23wto.org/english/res_e/booksp_e/wtr2023_e.htm
- 24wto.org/english/thewto_e/whatis_e/tif_e/org3_e.htm
- 26wto.org/english/res_e/booksp_e/wts2024_e/wts24_ch1_e.pdf
- 27wto.org/english/tratop_e/tradfa_e/tradfa_c_e.htm
- 28wto.org/english/tratop_e/envir_e/ntm_e.htm
- 9drewry.co.uk/reports/port-call-turnaround-times-2023
- 34drewry.co.uk/supplychain-and-logistics-services/weekly-liner-insight/liner-insight
- 36drewry.co.uk/supplychain-and-logistics-services/port-and-shipping/spot-rate-analysis
- 11oecd.org/trade/topics/trade-facilitation/border-crossing-time-reduction.htm
- 15oecd.org/en/data/indicators/trade-in-goods-and-services.html
- 20oecd.org/environment/plastic-waste-policy-data.htm
- 25oecd.org/trade/topics/tariffs-and-non-tariff-measures.htm
- 31oecd.org/tax/tax-policy/e-invoicing.htm
- 38oecd.org/trade/topics/non-tariff-measures/
- 19iea.org/reports/shipping
- 21taxation-customs.ec.europa.eu/carbon-border-adjustment-mechanism_en
- 22who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
- 29imf.org/en/Publications/WP/Issues/2019/08/08/The-Global-Effects-of-Trade-Wars-47072
- 33worldbank.org/en/publication/global-economic-prospects
- 35worldports.org/port-performance-report/
- 37newyorkfed.org/research/policy/gscpi
- 39irena.org/publications
- 40iso.org/the-iso-survey.html
- 41gartner.com/en/newsroom/press-releases/2023-10-xx-logistics-and-supply-chain-artificial-intelligence
- 42acfe.com/fraud-resources/fighting-fraud/sanctions







