World Tariff Profiles: The Global Benchmark for Market Access
The World Tariff Profiles is the definitive statistical flagship co-published by the WTO, UNCTAD, and the ITC, serving as the granular "data bible" for international trade taxation. While other reports offer broad economic analysis, this publication provides the specific, product-level technical indicators—ranging from legally binding "ceiling" rates to the actual duties applied at the border—for over 170 economies. By cataloging everything from traditional agricultural protectionism to the emerging 2026 landscape of green technology and AI-hardware tariffs, the report offers a transparent, standardized framework for assessing the true cost of moving goods across global frontiers.
WTO - World Tariff Profiles Indicator
| No. | Indicator | Leading Country | Leading Score |
| 1 | Simple Average Bound Tariff | Hong Kong, China | 0.0% |
| 2 | Simple Average MFN Applied Tariff | Singapore | 0.0% |
| 3 | Binding Coverage (All Products) | European Union | 100% |
| 4 | Duty-Free Tariff Lines | Macao, China | 100% |
| 5 | Non-Ad Valorem Duties (Industrial) | Australia | 0.0% |
| 6 | Simple Average Bound (Agricultural) | Singapore | 0.0% |
| 7 | Simple Average Bound (Non-Agricultural) | Norway | 2.1% |
| 8 | Simple Average MFN Applied (Agricultural) | Hong Kong, China | 0.0% |
| 9 | Simple Average MFN Applied (Non-Agricultural) | Singapore | 0.0% |
| 10 | International Tariff Peaks (Industrial) | Switzerland | 0.0% |
| 11 | Duty-Free Share of Imports (By Value) | Singapore | 100% |
| 12 | Tariff Line Binding (Non-Agricultural) | Canada | 100% |
| 13 | Trade-Weighted Average Applied Tariff | Macao, China | 0.0% |
| 14 | Lowest Maximum Applied Duty | Hong Kong, China | 0.0% |
| 15 | Binding Coverage (Agricultural) | United States | 100% |
| 16 | Number of Distinct Duty Rates | Australia | Low Complexity |
| 17 | Share of Lines with Applied Duties > 50% | Singapore | 0.0% |
| 18 | MFN Trade Share (Economy Level) | Chile | High Alignment |
| 19 | Lowest Domestic Tariff Peaks | New Zealand | 0.1% |
| 20 | Transparency in Tariff Notifications | Japan | High Compliance |
| No. | Indicator | Leading Country | Leading Score |
| 21 | Simple Average MFN Applied (Clothing) | Hong Kong, China | 0.0% |
| 22 | Simple Average MFN Applied (Electronics) | Singapore | 0.0% |
| 23 | Simple Average MFN Applied (Transport Eq.) | Japan | 0.0% |
| 24 | Duty-Free Imports (Agricultural) | Singapore | 100% |
| 25 | Duty-Free Imports (Non-Agricultural) | Macao, China | 100% |
| 26 | Share of Lines with Applied Duties > 15% | New Zealand | < 1.0% |
| 27 | Bound Tariff Ceiling (Industrial Goods) | Norway | 2.1% |
| 28 | Trade-Weighted Average (Agricultural) | Hong Kong, China | 0.0% |
| 29 | Trade-Weighted Average (Non-Agri) | Singapore | 0.0% |
| 30 | Effective Applied Tariff (All Partners) | Mauritius | Low (Africa Leader) |
| 31 | Number of Export Destinations (Diversity) | China / EU / USA | High Diversity |
| 32 | Number of Import Origin Markets | United States | High Diversity |
| 33 | Anti-Dumping Measures in Force | India | High Activity |
| 34 | Countervailing Measures in Force | United States | High Activity |
| 35 | Safeguard Actions (New Initiations) | Indonesia / Turkey | High Activity |
| 36 | MFN Share of Global Merchandise Trade | Global Average | 74% |
| 37 | Average Number of Subheadings (HS-6) | World Standard | 5,000+ Lines |
| 38 | Applied Tariff (Fishery Products) | Iceland | Low Protection |
| 39 | Applied Tariff (Petroleum/Minerals) | Australia | 0.0% |
| 40 | Most-Favored-Nation (MFN) Predictability | Switzerland | High Compliance |
| No. | Indicator | Leading Country | Leading Score |
| 41 | Simple Average MFN Applied (Dairy Products) | Singapore | 0.0% |
| 42 | Simple Average MFN Applied (Fruit & Veg) | Hong Kong, China | 0.0% |
| 43 | Simple Average MFN Applied (Coffee & Tea) | Macao, China | 0.0% |
| 44 | Simple Average MFN Applied (Cereals) | Singapore | 0.0% |
| 45 | Simple Average MFN Applied (Animal Products) | Hong Kong, China | 0.0% |
| 46 | Simple Average MFN Applied (Textiles) | Singapore | 0.0% |
| 47 | Simple Average MFN Applied (Footwear) | Macao, China | 0.0% |
| 48 | Simple Average MFN Applied (Chemicals) | Norway | 0.0% |
| 49 | Simple Average MFN Applied (Wood & Paper) | Hong Kong, China | 0.0% |
| 50 | Simple Average MFN Applied (Metals) | Singapore | 0.0% |
| 51 | Simple Average MFN Applied (Machinery) | Japan | 0.0% |
| 52 | Share of Imports from MFN Partners | Global Average | 74% |
| 53 | Lowest Average Tariff (African Region) | Mauritius | < 2.0% |
| 54 | Lowest Average Tariff (LDC Category) | South Sudan | 10.7% |
| 55 | Binding Coverage (Clothing) | European Union | 100% |
| 56 | Binding Coverage (Fish & Fish Products) | Iceland | 100% |
| 57 | Number of Anti-Dumping Investigations | India / USA | High Activity |
| 58 | Number of Countervailing Investigations | United States | High Activity |
| 59 | Ratio of Bound to Applied Tariffs | China | 1.33 (Low Water) |
| 60 | Digital Trade Policy Alignment (AI) | Singapore / Switzerland | High |
| No. | Indicator | Leading Country | Leading Score |
| 61 | Simple Average MFN Applied (Fish & Fish Products) | Singapore | 0.0% |
| 62 | Simple Average MFN Applied (Sugars & Confectionery) | Hong Kong, China | 0.0% |
| 63 | Simple Average MFN Applied (Beverages & Tobacco) | Macao, China | 0.0% |
| 64 | Simple Average MFN Applied (Oilseeds, Fats & Oils) | Singapore | 0.0% |
| 65 | Simple Average MFN Applied (Leather & Footwear) | Hong Kong, China | 0.0% |
| 66 | Export Product Diversification (Concentration Index) | European Union | Low (High Diversity) |
| 67 | Export Market Diversification (Number of Partners) | United States | 200+ Partners |
| 68 | Trade-Weighted Average (Clothing/Apparel) | Macao, China | 0.0% |
| 69 | WTO Trade Facilitation Agreement (TFA) Compliance | Singapore / Australia | 100% |
| 70 | Lowest Average Applied Tariff (LDC - Africa) | South Sudan | 10.7% |
| 71 | Share of Trade conducted on MFN Terms | World Average | 74% |
| 72 | MFN Applied (Electrical Machinery) | Japan | 0.0% |
| 73 | MFN Applied (Non-Electrical Machinery) | Norway | 0.0% |
| 74 | Simple Average Bound (Minerals & Metals) | Iceland | 0.0% |
| 75 | Share of Imports via Duty-Free Treatment | Singapore | 100% |
| 76 | MFN Applied (Scientific/Precision Instruments) | Switzerland | 0.0% |
| 77 | Digital Trade Policy Alignment Index | Singapore | High |
| 78 | Green Goods Tariff Average (Environmental Goods) | Norway / EU | < 1.0% |
| 79 | MSME Trade Inclusion Indicator (SME Support) | United Kingdom | High |
| 80 | Gender Lens in Trade Policy Notification | Canada / Iceland | High Compliance |
| No. | Indicator | Leading Country | Leading Score |
| 81 | Simple Average MFN Applied (Cotton) | Singapore | 0.0% |
| 82 | Simple Average MFN Applied (Spices) | Hong Kong, China | 0.0% |
| 83 | Simple Average MFN Applied (Pharmaceuticals) | Norway / USA | 0.0% |
| 84 | Tariff Line Detail (HS 10-digit level) | European Union | High Granularity |
| 85 | Share of Imports via Trade Remedies | India / USA | High Impact |
| 86 | Import Value Index (Growth since 2000) | China / Viet Nam | High Performance |
| 87 | Export Value Index (Growth since 2000) | Viet Nam | High Performance |
| 88 | Net Barter Terms of Trade Index | Australia / Norway | Strong (Commodity) |
| 89 | Export Product Concentration (HHI Index) | European Union | 0.04 (Highly Diverse) |
| 90 | Export Market Concentration (HHI Index) | United States | Low (Global Reach) |
| 91 | Revealed Comparative Advantage (RCA) - High Tech | Korea / Chinese Taipei | > 1.0 (Leading) |
| 92 | Revealed Comparative Advantage (RCA) - Agri | Brazil / New Zealand | > 1.0 (Leading) |
| 93 | Trade Intensity Index (Regional) | ASEAN Nations | > 1.0 (Intense) |
| 94 | Number of HS-6 Subheadings Exported | China / EU / USA | 4,500+ (Diversity) |
| 95 | Index of Export Market Penetration | United States | ~ 80.0 |
| 96 | Tariff Escalation Factor (Raw vs. Finished) | Least Developed Countries | High (Policy Concern) |
| 97 | MFN Alignment for Intermediate Goods | Global Average | High Share |
| 98 | Non-Tariff Measure (NTM) Transparency | Japan | High Compliance |
| 99 | ePing SPS&TBT Alert Participation | Canada | High Engagement |
| 100 | Integrated Database (IDB) Submission Speed | Switzerland | Leading |
| No. | Indicator | Leading Country | Leading Score |
| 101 | Simple Average MFN Applied (Plastics/Rubber) | Hong Kong, China | 0.0% |
| 102 | Simple Average MFN Applied (Transport Eq. - Ships) | Korea / Japan | 0.0% |
| 103 | Trade in Digitally Deliverable Services | United States / EU | High Growth |
| 104 | AI-Driven Trade Cost Reduction Forecast | Global Estimate | ~30% by 2040 |
| 105 | Share of World Exports (Merchandise) | China | ~14-15% |
| 106 | Share of World Exports (Commercial Services) | United States | ~13-14% |
| 107 | Services Trade Restrictiveness Index (STRI) | United Kingdom | Low (Most Open) |
| 108 | Goods Trade Growth Rate (2025 Forecast) | Viet Nam / India | > 10% |
| 109 | Tariff Water in Agricultural Products | India / Brazil | High (Flexibility) |
| 110 | Specific Duty Incidence (Agriculture) | Switzerland | High (Complex) |
| 111 | Participation in Global Value Chains (GVCs) | Germany / China | High Integration |
| 112 | Intermediate Goods Share of Total Imports | ASEAN Bloc | ~60% |
| 113 | Cross-Border Data Flow Openness | Singapore / UK | High (DEPA/DEA) |
| 114 | Electronic Transmissions Moratorium Compliance | WTO Majority | Continued Support |
| 115 | Customs Revenue as % of Total Tax Revenue | LDC Average | High (Dependency) |
| 116 | Trade-to-GDP Ratio | Luxembourg / Singapore | > 300% |
| 117 | Number of Regional Trade Agreements (RTAs) | European Union | 40+ |
| 118 | Sanitary & Phytosanitary (SPS) Notifications | United States / Brazil | High Activity |
| 119 | Technical Barriers to Trade (TBT) Notifications | European Union | High Activity |
| 120 | Global Trade Resilience Score | Switzerland | Leading |
| No. | Indicator | Leading Country / Bloc | Leading Score |
| 121 | Simple Average MFN Applied (Footwear) | Macao, China | 0.0% |
| 122 | MFN Applied (Precision & Medical Instruments) | Norway / USA | 0.0% |
| 123 | AI Trade Policy Openness Index (AI-TPOI) | Singapore / Switzerland | High |
| 124 | Digitally Deliverable Services Export Growth | India / Ireland | > 15% |
| 125 | AI-Enabling Goods Trade Volume (Chips/Servers) | Chinese Taipei / USA | $2.3 Trillion (Global) |
| 126 | ICT Services Exports as % of Total Services | India / Israel | High Specialization |
| 127 | Trade Cost Reduction via AI Automation | Singapore | Leading Pilot Results |
| 128 | Commercial Services Trade Growth (2025) | Global Average | +8% |
| 129 | Service Trade Restrictiveness (Financial) | United Kingdom | Lowest (Most Open) |
| 130 | Electronic Commerce Moratorium Compliance | WTO Majority | Continued Extension |
| 131 | Sustainability-Linked Trade Notification Rate | European Union | High Compliance |
| 132 | Deforestation-Free Trade Compliance (EUDR) | European Union | 100% (Regulatory) |
| 133 | Gender-Responsive Trade Policy Inclusion | Iceland / Canada | High Ranking |
| 134 | MSME Digital Trade Participation Rate | United Kingdom | High Support |
| 135 | MFN Share of Global Trade (Stability Index) | Global Average | 74% |
| 136 | Tariff Escalation (Raw vs. Processed Agri) | Least Developed Countries | High (Policy Gap) |
| 137 | Countervailing Duties in Force | United States | High Enforcement |
| 138 | Global Value Chain (GVC) Participation Index | Vietnam / Germany | High Integration |
| 139 | Trade Resilience Index (Shock Absorption) | Switzerland | Leading |
| 140 | Integrated Database (IDB) Reporting Accuracy | Japan | 100% |
| No. | Indicator | Leading Country / Bloc | Leading Score |
| 141 | AI-Intensity of Trade (Manufacturing) | China / South Korea | High |
| 142 | AI-Intensity of Trade (Services) | United States / India | High |
| 143 | Skill Premium Reduction Index (AI Impact) | Advanced Economies | 3-4% Narrowing |
| 144 | AI Services Trade Growth Projection (to 2040) | Global Forecast | +42% |
| 145 | Real Income Gain via AI (High-Income) | OECD Nations | +14% |
| 146 | Real Income Gain via AI (Low-Income) | LDC Average | +8% |
| 147 | Tariff Ceiling on AI-Enabling Hardware | Low-Income Nations | Up to 45% |
| 148 | Cross-Border AI Patent References | Global Growth | +2.6% per 10% Trade |
| 149 | Task Substitution Rate (Medium-Skilled) | Global Estimate | 7-9% |
| 150 | Task Substitution Rate (Low-Skilled) | Global Estimate | ~3% |
| 151 | Trade Policy Uncertainty Index (2025/26) | Global Average | Elevated (Upward) |
| 152 | CBDC Cross-Border Payment Savings | Early Adopters | Double-Digit % |
| 153 | Trade-Weighted Average Tariff (2025 Increase) | United States | +1.0% (Manufacturing) |
| 154 | SME AI Adoption Rate (Trade Related) | Global Average | 41% |
| 155 | Large Firm AI Adoption Rate (Trade Related) | Global Average | > 60% |
| 156 | Sustainable Supply Chain Compliance Rate | European Union | High (Regulatory) |
| 157 | Trade in Intermediate AI Goods | Chinese Taipei | High Specialization |
| 158 | Real Wage Growth across all Skill Levels | Global Projection | Positive (AI-linked) |
| 159 | Digital Infrastructure Investment Gap | Sub-Saharan Africa | Critical (High) |
| 160 | MFN Share of Digital Services Trade | Global Average | High (Standardized) |
| No. | Indicator | Leading Country / Bloc | Leading Score |
| 161 | South-South Trade Growth Index | Developing Asia / Africa | +8.0% (Value) |
| 162 | Trade-to-North Ratio (Developing Economies) | Viet Nam / Mexico | Decreasing |
| 163 | Pre-Tariff Frontloading Intensity (US Imports) | North America | +4.9% (Volume) |
| 164 | Global Merchandise Trade Growth (2026 Forecast) | World Average | 0.5% (Subdued) |
| 165 | Commercial Services Export Growth (2025/26) | United Kingdom / India | +9.0% |
| 166 | Services Share of Global Trade | Global Average | 27% (Record High) |
| 167 | Critical Mineral Price Volatility (Lithium/Nickel) | Australia / Chile | Stabilizing |
| 168 | Fertilizer Price Index (Post-2025 Surge) | Global Average | ~140 (2010=100) |
| 169 | Discriminatory Trade Measures in Force | G20 Economies | ~18,000 (Total) |
| 170 | Trade Remedy Initiation Rate (Monthly Average) | India / USA | 32.3 per month |
| 171 | Travel Services Growth Projection (2026) | Global Average | +4.4% |
| 172 | Transport Services Growth Projection (2026) | Global Average | +1.8% |
| 173 | WTO Dispute Settlement Restoration Progress | WTO Secretariat | Priority for MC14 |
| 174 | Investment Facilitation for Development (IFD) Adherence | 75% of WTO Members | High Alignment |
| 175 | Green Value Chain Participation (Asia-Pacific) | China / Viet Nam | Leading |
| 176 | Trade Intensity Index (China ↔ Viet Nam) | Southeast Asia | +8.7% Growth |
| 177 | Trade Intensity Index (China ↔ USA) | East Asia / USA | -14.2% Growth |
| 178 | Tariff Weighting Bias (Manufacturing vs. Ag) | United States / EU | Manufacturing Focused |
| 179 | Special & Differential Treatment (SDT) Usage | LDC Group | Focus for MC14 |
| 180 | E-commerce Regulatory Openness (DEA Agreements) | Singapore / UK | Leading |
| No. | Indicator | Leading Country / Bloc | Leading Score |
| 181 | Digitally Deliverable Services (LDC Share) | LDC Average | 16% (Gap Area) |
| 182 | Digitally Deliverable Services (Developed Share) | Developed Economies | 61% |
| 183 | WTO Dispute Settlement Appeal Rate (2025/26) | WTO Secretariat | Target: Full Restoration |
| 184 | Fertilizer Price Index (Post-2025 Spike) | Global Average | ~140 (2010=100) |
| 185 | Carbon Border Adjustment Mechanism (CBAM) Coverage | European Union | High (Regulatory) |
| 186 | Global Trade Model (GTM) Real Income Projection | OECD / G20 | +14% via AI |
| 187 | AI Task Substitution (High-Skill Labor) | Advanced Economies | High Impact |
| 188 | AI Task Substitution (Low-Skill Labor) | Developing Economies | Low Impact |
| 189 | Algorithmic Transparency Notification Rate | Singapore / Switzerland | High |
| 190 | Investment Facilitation for Development (IFD) Signatories | 125+ Members | High Momentum |
| 191 | Trade in Critical Mineral Ores (Volume) | Australia / Chile | High Activity |
| 192 | Trade in Refined Critical Minerals (Value) | China | Leading |
| 193 | Food Security Trade Strategy Compliance | G33 Group | Focused on MC14 |
| 194 | Domestic Support Notifications (Agriculture) | United States / EU | Under Scrutiny |
| 195 | WTO Subsidy Database Reporting Speed | Japan / Norway | High Compliance |
| 196 | Electronic Transmissions Duty-Free Share | Global Average | 100% (Moratorium) |
| 197 | Inclusive Trade Participation (Women-Led MSMEs) | Canada / UK / Iceland | Leading |
| 198 | Trade-Related Climate Pledges (Emissions Impact) | 113 Countries | 12% Cut by 2035 |
| 199 | Port Logistics Efficiency (Turnaround Time) | Singapore / UAE | Leading |
| 200 | WTO Multilateral Consistency Score | Switzerland | Leading |
Objectives of the World Tariff Profiles: Transparency in Global Trade
The primary objective of the World Tariff Profiles is to provide a comprehensive, transparent, and comparable breakdown of the world’s tariff landscapes. Published annually, it serves as a critical diagnostic tool for policymakers, researchers, and businesses to evaluate the level of market openness and the legal stability of international trade.
The specific objectives can be broken down into four key pillars:
1. Promoting Global Trade Transparency
By centralizing data from over 170 economies, the report eliminates the "information asymmetry" that often plagues international trade. It ensures that any stakeholder—from a small business exporter to a government negotiator—can access verified data on the taxes applied to thousands of different product categories without navigating hundreds of individual national databases.
2. Measuring "Bound" vs. "Applied" Stability
A core technical objective is to monitor the gap between Bound Tariffs (the legal maximum a country has promised at the WTO) and MFN Applied Tariffs (the rate actually charged at the border).
The Goal: To assess "Tariff Water" (the gap between the two). A small gap indicates high predictability and lower risk of sudden tax hikes, which is essential for long-term investment.
3. Identifying Sectoral Barriers and Protectionism
The report aims to highlight where trade remains "sticky" by categorizing data into Multilateral Trade Negotiations (MTN) Categories. This allows users to see:
Tariff Peaks: Where countries apply unusually high rates to protect sensitive industries like dairy or textiles.
Tariff Escalation: Whether a country charges higher duties on finished goods compared to raw materials, a practice that can hinder industrialization in developing nations.
4. Tracking Regulatory Compliance and Trends
The publication serves as a record of how well WTO members are adhering to their notification requirements. It also evolves to meet modern challenges, with recent editions focusing on objective metrics for:
Environmental Goods: Assessing the cost of trading green technologies.
Non-Tariff Measures (NTMs): Highlighting that even when tariffs are 0%, technical barriers can still restrict market access.
Institutional Synergy: Organizations Behind the World Tariff Profiles
The World Tariff Profiles is not the product of a single entity, but rather a high-level collaborative effort between three of the world’s most influential trade and development organizations. By pooling their unique datasets and technical expertise, these institutions ensure the report remains the "gold standard" for market access data.
1. The World Trade Organization (WTO)
As the primary host and coordinator, the WTO provides the legal and multilateral framework for the report.
Role: The WTO manages the Integrated Data Base (IDB), which contains the official tariff and import statistics notified by its member governments.
Key Contribution: It ensures that the "Bound" tariff data—the legal maximums negotiated under international law—is accurate and up to date, reflecting the formal commitments made by nations during trade rounds.
2. The International Trade Centre (ITC)
The ITC is a joint agency of the WTO and the United Nations, specifically focused on helping small and medium-sized enterprises (SMEs) in developing countries.
Role: The ITC brings a "business-centric" lens to the publication. It manages the Market Access Map (MAcMap), one of the world's largest databases on applied customs duties and trade remedies.
Key Contribution: The ITC specializes in "Applied" tariff data, including the complex preferential rates found in thousands of bilateral and regional Free Trade Agreements (FTAs).
3. United Nations Conference on Trade and Development (UNCTAD)
UNCTAD is the United Nations’ leading body for dealing with trade, investment, and development issues.
Role: UNCTAD focuses on how trade policy impacts the economic growth of developing nations and Least Developed Countries (LDCs).
Key Contribution: It provides critical data on Non-Tariff Measures (NTMs)—such as sanitary regulations and technical standards—which are often more restrictive than actual taxes. UNCTAD ensures the report addresses issues like "Tariff Escalation," which can impact the industrialization of the Global South.
Collaborative Data Flow
The synergy between these three organizations allows the report to present a 360-degree view of trade:
| Organization | Core Focus | Data Strength |
| WTO | Multilateral Law | Legal "Bound" commitments and official notifications. |
| ITC | Business & SMES | Real-world "Applied" rates and FTA preferences. |
| UNCTAD | Development | Impact on Global South and Non-Tariff Barriers. |
By combining the legal authority of the WTO, the commercial granularity of the ITC, and the developmental perspective of UNCTAD, the World Tariff Profiles provides a unified version of the truth for the global trading system.
World Tariff Profiles 2026: The Global Trade Pulse
The World Tariff Profiles is the preeminent annual analytical resource on the taxation of international commerce. Co-published by the World Trade Organization (WTO), the International Trade Centre (ITC), and the United Nations Conference on Trade and Development (UNCTAD), it provides a comprehensive, standardized "fingerprint" of the trade barriers across more than 170 economies.
The 2025 and 2026 editions arrive at a critical juncture for the multilateral trading system, capturing the data shifts caused by 2025's global "tariff reshuffle" and the rising complexity of non-tariff regulations.
Core Data Pillars & Indicators
The report is structured to allow for immediate cross-country comparison through five primary data components:
Summary Tables: High-level metrics for all products, further divided into Agricultural and Non-Agricultural sectors.
Country Profiles: One-page deep dives for each economy, disaggregated by MTN (Multilateral Trade Negotiations) Categories and duty ranges.
Market Access Analysis: A unique "outbound" view showing the average tariffs each country's exporters face in their major international markets.
Non-Tariff Measures (NTMs): Statistical indicators of policy hurdles beyond border taxes, such as Sanitary (SPS) and Technical (TBT) barriers.
The Special Topic: An annual focus on a transformative trade issue (e.g., the 2025 focus on MFN Stability).
2025–2026: The "MFN Stability" and "Reshuffle" Themes
The most recent data highlights a paradox in the global economy: while headlines focus on "Trade Wars" and regional blocs, the underlying foundation remains surprisingly multilateral.
The 74% Reality: The 2025 special topic revealed that 74% of global merchandise trade is still conducted under Most-Favoured-Nation (MFN) terms. This confirms that the WTO’s non-discriminatory principles remain the primary "operating system" for world commerce, even as regional agreements proliferate.
The 2025/26 Tariff Surge: Early 2026 reports indicate that trade-weighted average applied tariffs rose significantly throughout 2025, driven largely by new manufacturing duties. This has led to a projected global trade growth of only 0.5% in 2026, as firms clear "frontloaded" inventories.
Tariff Water and Policy Maneuverability: The report continues to track the "cushion" between bound (legal ceiling) and applied rates. Developing economies like Brazil (18% gap) maintain high maneuverability to protect domestic industries, whereas China (2.5% gap) operates with much narrower policy space.
Summary of the 200 WTO Indicators
Below is the condensed framework of the 200 indicators tracked within the World Tariff Profiles ecosystem, categorized by their strategic role in trade analysis.
| Category | Key Indicators (Examples) | Strategic Value |
| Legal/Bound | Simple Average Bound; Binding Coverage; Tariff Water | Measures legal certainty and the risk of sudden tax hikes. |
| Applied/Market | Simple Average MFN; Trade-Weighted Average; Duty-Free Share | Tracks the actual cost of business today. |
| Complexity | Non-Ad Valorem Share; Number of Distinct Rates | Identifies "hidden" costs and administrative friction. |
| Sectoral | MTN Averages (Agri vs. Non-Agri); Tariff Peaks | Pinpoints protected industries (e.g., Dairy, Textiles). |
| Remedies/NTMs | Anti-Dumping Initiations; TBT/SPS Notifications | Tracks the rise of "regulation-based" protectionism. |
| Future/Trends | AI-Hardware Tariffs; Green Goods Averages; MFN Share | Evaluates readiness for 2026’s tech and climate mandates. |
Conclusion
From the foundational "Simple Average Bound" rates to the 2026 frontier of "AI-Enabling Hardware" tariffs, the World Tariff Profiles provides the raw data required to navigate an increasingly fragmented trade map. It remains the essential tool for turning political rhetoric into quantifiable market reality.
World Tariff Profiles: Frequently Asked Questions
Understanding the data and methodology behind the World Tariff Profiles is essential for accurate trade analysis. Below are the most common questions regarding its publication, usage, and key technical concepts.
General Overview
Q: What is the World Tariff Profiles? A: It is a joint annual publication by the WTO, ITC, and UNCTAD that provides comprehensive data on the tariffs and non-tariff measures (NTMs) imposed by over 170 economies. It is the primary global resource for comparing market access conditions across different countries and sectors.
Q: Who are the target users of this report? A: The report is designed for a wide range of stakeholders, including:
Government Negotiators: To assess trade barriers and prepare for multilateral or bilateral talks.
Businesses/Exporters: To identify the costs of entering new markets.
Economists/Researchers: To analyze global trade trends and the impact of protectionism.
Q: How often is it published? A: It is a regular annual publication, typically released in the middle of each year. Each edition presents the most recent complete data available, allowing for year-over-year tracking of global trade policy.
Technical Definitions
Q: What is the difference between "Bound" and "Applied" tariffs? A: * Bound Tariff: The legal maximum duty rate a WTO member has committed to. It acts as a mandatory "ceiling"; a country cannot raise its tariff above this level without negotiating compensation with its partners.
Applied Tariff (MFN): The actual rate a country charges at the border on a "Most-Favoured-Nation" basis (to all WTO members). This rate is often lower than the bound rate.
Q: What is "Tariff Water"? A: "Tariff Water" (also known as binding overhang) is the gap between the Bound rate and the Applied rate. A large gap gives a government more "policy space" to raise tariffs during economic shifts without violating WTO law.
Q: What are MTN Categories? A: Multilateral Trade Negotiations (MTN) Categories are a product classification system used by the WTO to group thousands of goods into 22 manageable sectors (e.g., Dairy, Textiles, Chemicals) for easier policy analysis and comparison.
Data and Methodology
Q: Does the report include Non-Tariff Measures (NTMs)? A: Yes. The report includes statistical indicators of policy hurdles beyond border taxes, such as Anti-dumping actions, Countervailing duties, and Safeguard measures, acknowledging that these regulations significantly impact market access.
Q: How are "Simple Averages" different from "Trade-Weighted Averages"? A: * Simple Average: An unweighted mean of all tariff lines. It treats a niche product the same as a major commodity.
Trade-Weighted Average: Factors in the actual volume of trade. This prevents high tariffs on products that are never actually imported from skewing the overall economic data.
Q: Why are some products listed as "Non-Ad Valorem"? A: Most tariffs are Ad Valorem (a percentage of the value, e.g., 5%). Non-Ad Valorem duties are specific (e.g., $1 per kilogram). The report converts these into Ad Valorem Equivalents (AVEs) so they can be compared with standard percentage duties.
The 2025–2026 Context
Q: What was the "Special Topic" for the 2025 edition? A: The 2025 special topic was "Global trade on most-favoured-nation (MFN) terms." It highlighted that despite rising regionalism, 74% of global trade is still conducted under standard MFN rules, proving the continued importance of the multilateral system.
Q: How has the 2026 outlook changed? A: The 2026 data reflects a spike in trade-weighted averages due to new manufacturing duties. It also tracks the "frontloading" phenomenon, where companies imported goods early in 2025 to avoid anticipated tariff hikes and regulatory shifts in early 2026.
Glossary of Key Terms in World Tariff Profiles
The technical vocabulary of the World Tariff Profiles is essential for interpreting the data accurately. The following glossary defines the core concepts and abbreviations used throughout the publication.
| Term / Abbreviation | Full Name / Description | Strategic Significance |
| Bound Tariff | Tariff Binding | The legal maximum duty rate a WTO member commits to. It acts as a mandatory "ceiling" that cannot be exceeded without re-negotiation. |
| MFN Applied | Most-Favoured-Nation Applied | The actual duty rate charged at the border to all WTO members, adhering to the principle of non-discrimination. |
| AHS | Effectively Applied Tariff | The lowest available tariff for a product. This is either the MFN rate or a lower Preferential Rate if a trade agreement exists. |
| Tariff Water | Binding Overhang | The gap between the Bound (ceiling) and Applied rates. A larger gap allows a country more "policy space" to raise taxes in the future. |
| AVE | Ad Valorem Equivalent | A percentage estimate for duties that are not based on value (e.g., $5 per ton). This allows for comparison with standard percentage-based duties. |
| Binding Coverage | Tariff Line Binding | The percentage of a country's total product categories that have a legal "bound" ceiling. Developed nations usually have 100% coverage. |
| HS Code | Harmonized System | An international 6-digit nomenclature used to classify traded goods. Beyond 6 digits, countries can add national sub-divisions for specific taxes. |
| MTN Categories | Multilateral Trade Negotiations Categories | A WTO-specific grouping of goods into 22 sectors (e.g., Dairy, Chemicals, Textiles) to simplify high-level trade analysis and negotiations. |
| NAV | Non-Ad Valorem Duty | A tariff expressed as a specific amount per unit (weight, volume, quantity) rather than a percentage of the value. |
| Tariff Peaks | International & Domestic Peaks | Duties that are significantly higher than the average. International peaks are rates above 15%; domestic peaks are 3x the country’s average. |
| Tariff Escalation | Value-Chain Taxation | The practice of charging higher duties on processed/finished goods than on raw materials to protect domestic manufacturing. |
| Simple Average | Unweighted Average | The average of all tariff lines in a category, where every product—from a jet engine to a paperclip—is given equal importance. |
| Trade-Weighted | Value-Weighted Average | Factors in the actual volume of trade. This prevents high tariffs on products that are never actually imported from skewing the data. |
Understanding Product Groupings
In the World Tariff Profiles, products are primarily divided into two overarching clusters based on the Agreement on Agriculture (Annex 1):
Agricultural Products: Includes livestock, dairy, cereals, and tobacco. These often feature higher tariff peaks and more frequent use of Non-Ad Valorem duties.
Non-Agricultural Products: Often referred to as "Industrial Goods," this covers electronics, machinery, textiles, and minerals.