United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Manufactured Products data was reported at 2.640 % in 2016. This stayed constant from the previous number of 2.640 % for 2015. United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Manufactured Products data is updated yearly, averaging 3.130 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.010 % in 1992 and a record low of 2.120 % in 2007. United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Tariffs. Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

United States US: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.670 % in 2016. This records a decrease from the previous number of 1.690 % for 2015. United States US: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 1.960 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 3.950 % in 1992 and a record low of 1.540 % in 2007. United States US: Tariff Rate: Applied: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Actual value and historical data chart for United States Tariff Rate Applied Weighted Mean All Products Percent

Newly imposed import tariffs in the United States were estimated to reach an average of 13.1 percent in 2025. Earlier that year, President Trump imposed tariffs on various goods and trading partners such as China, Canada and Mexico. This considerably increased the average tariff rate by 10.6 percentage points compared to the previous year. This marks the highest average rate in the United States since 1941.

Actual value and historical data chart for United States Tariff Rate Most Favored Nation Weighted Mean All Products Percent

United States US: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 1.710 % in 2016. This records a decrease from the previous number of 1.740 % for 2015. United States US: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 2.060 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 4.250 % in 1992 and a record low of 1.640 % in 2007. United States US: Tariff Rate: Applied: Weighted Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Tariff rate, applied, weighted mean, all products (%) in China was reported at 2.18 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Tariff rate, applied, weighted mean, all products - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Tariff rate, applied, weighted mean, primary products (%) in United States was reported at 1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Tariff rate, applied, weighted mean, primary products - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

This statistic shows the trade weighted average of applied import tariffs between the European Union and the United States, by sector in 2013. The EU imposed an average 6.4 percent tariff on the importation of U.S. processed foods in 2013.

United States US: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 1.510 % in 2016. This records an increase from the previous number of 1.490 % for 2015. United States US: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 1.510 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 3.670 % in 1999 and a record low of 1.070 % in 2008. United States US: Tariff Rate: Applied: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Actual value and historical data chart for Canada Tariff Rate Applied Weighted Mean All Products Percent

United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data was reported at 3.920 % in 2016. This records an increase from the previous number of 3.850 % for 2015. United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data is updated yearly, averaging 3.850 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 8.320 % in 1999 and a record low of 2.340 % in 1997. United States US: Tariff Rate: Most Favored Nation: Weighted Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Tariffs. Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Actual value and historical data chart for European Union Tariff Rate Applied Weighted Mean All Products Percent

Tariff rate, applied, weighted mean, all products (%) in Brazil was reported at 7.26 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Tariff rate, applied, weighted mean, all products - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Dataset Description: The "World Export & Import Dataset (1989 - 2023)" is a comprehensive collection of data related to international trade and trade policies. This dataset is designed to provide insights and analysis for researchers, policymakers, and analysts interested in understanding global trade dynamics. It covers various aspects of trade, including trade values, tariff rates, and trade policy indicators for numerous countries over multiple years.

Data Fields:

1. Partner Name: This feature represents the name of the trading partner or country with which import and export data is being measured. In your Kaggle dataset, you would create a column for "Partner Name" and include the names of countries or trading partners in this column.

2. Year: This feature specifies the specific year for which the import and export data is recorded. In your Kaggle dataset, you would create a column for "Year" and include the respective year for each data entry.

3. Export (US$ Thousand): This feature represents the total value of goods and products exported by the country in thousands of US dollars. In your dataset, you would create a column for "Export (US$ Thousand)" and include the export values in this format.

4. Import (US$ Thousand): Similar to exports, this feature represents the total value of goods and products imported by the country in thousands of US dollars. Create a column for "Import (US$ Thousand)" to include import values in this format.

5. Export Product Share (%): This feature indicates the percentage of the country's total exports that a specific product category represents. You can create a column for "Export Product Share (%)" and include the percentage values.

6. Import Product Share (%): Like export product share, this feature represents the percentage of the country's total imports that a specific product category represents. Create a column for "Import Product Share (%)" to include these percentages.

7. Revealed Comparative Advantage: This feature is likely a qualitative measure of whether a country has a comparative advantage in a particular product category. You can create a column for "Revealed Comparative Advantage" and provide values or rankings to denote this advantage.

8.World Growth (%): This feature indicates the percentage change in the total value of world trade (exports and imports) compared to the previous year. Create a column for "World Growth (%)" and include the growth percentages.

1. Country Growth (%): Similar to world growth, this feature represents the percentage change in the total value of a country's trade (exports and imports) compared to the previous year. Create a column for "Country Growth (%)" to include these percentages.

2. AHS Simple Average (%): This feature likely refers to the simple average tariff rate applied by the country based on the Harmonized System (AHS) classification of products. Create a column for "AHS Simple Average (%)" to include these tariff rates as percentages.

3. AHS Weighted Average (%): This feature represents the weighted average tariff rate applied by the country based on the Harmonized System (AHS) classification of products. Create a column for "AHS Weighted Average (%)" to include these tariff rates as percentages.

4. AHS Total Tariff Lines: This feature indicates the total number of tariff lines or product categories in the Harmonized System. Create a column for "AHS Total Tariff Lines" and include the numerical count.

5. AHS Dutiable Tariff Lines Share (%): This feature shows the percentage of tariff lines for which duties are applied. Create a column for "AHS Dutiable Tariff Lines Share (%)" and include the percentages.

6. AHS Duty Free Tariff Lines Share (%): Similar to the previous feature, this one represents the percentage of tariff lines for which no duties are applied. Create a column for "AHS Duty Free Tariff Lines Share (%)" and include the percentages.

7. AHS Specific Tariff Lines Share (%): This feature indicates the percentage of tariff lines with specific (fixed) duty rates. Create a column for "AHS Specific Tariff Lines Share (%)" and include the percentages.

8. AHS AVE Tariff Lines Share (%): This feature represents the percentage of tariff lines with ad valorem equivalent (AVE) duty rates. Create a column for "AHS AVE Tariff Lines Share (%)" and include the percentages.

9. AHS MaxRate (%): This feature denotes the highest tariff rate applied by the country on any product category in the Harmonized System. Create a column for "AHS MaxRate (%)" and include the maximum tariff rates as percentages.

10. AHS MinRate (%): Similar to the previous feature, this one represents the lowest tariff rate applied by the country on any product category in the Harmonized System. Create a column for "AHS MinRate (%)" and include the minimum tariff rates as percentages.

11. AHS SpecificDuty Imports (...

Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1Q027SBEA) from Q1 1959 to Q2 2025 about receipts, imports, tax, federal, production, government, GDP, and USA.

Actual value and historical data chart for South Africa Tariff Rate Applied Weighted Mean All Products Percent

Tariff rate, applied, weighted mean, manufactured products (%) in United States was reported at 1.61 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Tariff rate, applied, weighted mean, manufactured products - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Goal 17Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentTarget 17.1: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collectionIndicator 17.1.1: Total government revenue as a proportion of GDP, by sourceGR_G14_GDP: Total government revenue (budgetary central government) as a proportion of GDP (%)GR_G14_XDC: Total government revenue, in local currencyIndicator 17.1.2: Proportion of domestic budget funded by domestic taxesGC_GOB_TAXD: Proportion of domestic budget funded by domestic taxes (% of GDP)Target 17.2: Developed countries to implement fully their official development assistance commitments, including the commitment by many developed countries to achieve the target of 0.7 per cent of gross national income for official development assistance (ODA/GNI) to developing countries and 0.15 to 0.20 per cent of ODA/GNI to least developed countries; ODA providers are encouraged to consider setting a target to provide at least 0.20 per cent of ODA/GNI to least developed countriesIndicator 17.2.1: Net official development assistance, total and to least developed countries, as a proportion of the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee donors’ gross national income (GNI)DC_ODA_SIDSG: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LDCG: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LLDC: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_SIDS: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LDCS: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LLDCG: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTG: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTL: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTLGE: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTGGE: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%)Target 17.3: Mobilize additional financial resources for developing countries from multiple sourcesIndicator 17.3.1: Foreign direct investment, official development assistance and South-South cooperation as a proportion of gross national incomeGF_FRN_FDI: Foreign direct investment (FDI) inflows (millions of US dollars)Indicator 17.3.2: Volume of remittances (in United States dollars) as a proportion of total GDPBX_TRF_PWKR: Volume of remittances (in United States dollars) as a proportion of total GDP (%)Target 17.4: Assist developing countries in attaining long-term debt sustainability through coordinated policies aimed at fostering debt financing, debt relief and debt restructuring, as appropriate, and address the external debt of highly indebted poor countries to reduce debt distressIndicator 17.4.1: Debt service as a proportion of exports of goods and servicesDT_TDS_DECT: Debt service as a proportion of exports of goods and services (%)Target 17.5: Adopt and implement investment promotion regimes for least developed countriesIndicator 17.5.1: Number of countries that adopt and implement investment promotion regimes for developing countries, including the least developed countriesSG_CPA_SIGN_BIT: Number of countries with a signed bilateral investment treaty (BIT) (Number)SG_CPA_INFORCE_BIT: Number of countries with an inforce bilateral investment treaty (BIT) (Number)Target 17.6: Enhance North-South, South-South and triangular regional and international cooperation on and access to science, technology and innovation and enhance knowledge-sharing on mutually agreed terms, including through improved coordination among existing mechanisms, in particular at the United Nations level, and through a global technology facilitation mechanismIndicator 17.6.1: Fixed Internet broadband subscriptions per 100 inhabitants, by speed5IT_NET_BBNDN: Number of fixed Internet broadband subscriptions, by speed (number)IT_NET_BBND: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants)Target 17.7: Promote the development, transfer, dissemination and diffusion of environmentally sound technologies to developing countries on favourable terms, including on concessional and preferential terms, as mutually agreedIndicator 17.7.1: Total amount of funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologiesTarget 17.8: Fully operationalize the technology bank and science, technology and innovation capacity-building mechanism for least developed countries by 2017 and enhance the use of enabling technology, in particular information and communications technologyIndicator 17.8.1: Proportion of individuals using the InternetIT_USE_ii99: Internet users per 100 inhabitantsTarget 17.9: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the Sustainable Development Goals, including through North-South, South-South and triangular cooperationIndicator 17.9.1: Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countriesDC_FTA_TOTAL: Total official development assistance (gross disbursement) for technical cooperation (millions of 2018 United States dollars)Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system under the World Trade Organization, including through the conclusion of negotiations under its Doha Development AgendaIndicator 17.10.1: Worldwide weighted tariff-averageTM_TAX_WMFN: Worldwide weighted tariff-average, most-favoured-nation status, by type of product (%)TM_TAX_WMPS: Worldwide weighted tariff-average, preferential status, by type of product (%)Target 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTX_IMP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise imports (%)TX_EXP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise exports (%)TX_EXP_GBSVR: Developing countries’ and least developed countries’ share of global services exports (%)TX_IMP_GBSVR: Developing countries’ and least developed countries’ share of global services imports (%)Target 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessIndicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTM_TAX_DMFN: Average tariff applied by developed countries, most-favored nation status, by type of product (%)TM_TAX_DPRF: Average tariff applied by developed countries, preferential status, by type of product (%)Target 17.13: Enhance global macroeconomic stability, including through policy coordination and policy coherenceIndicator 17.13.1: Macroeconomic DashboardTarget 17.14: Enhance policy coherence for sustainable developmentIndicator 17.14.1: Number of countries with mechanisms in place to enhance policy coherence of sustainable developmentSG_CPA_SDEVP: Mechanisms in place to enhance policy coherence for sustainable development (%)Target 17.15: Respect each country’s policy space and leadership to establish and implement policies for poverty eradication and sustainable developmentIndicator 17.15.1: Extent of use of country-owned results frameworks and planning tools by providers of development cooperationSG_PLN_PRVRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%)SG_PLN_RECRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)SG_PLN_PRVNDI: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%)SG_PLN_RECNDI: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%)SG_PLN_PRVRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by provider (%)SG_PLN_RECRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)SG_PLN_REPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) SG_PLN_PRPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of

美国：关税税率：应用：加权平均数：初级产品在12-01-2016达1.510%，相较于12-01-2015的1.490%有所增长。美国：关税税率：应用：加权平均数：初级产品数据按年更新，12-01-1989至12-01-2016期间平均值为1.510%，共27份观测结果。该数据的历史最高值出现于12-01-1999，达3.670%，而历史最低值则出现于12-01-2008，为1.070%。CEIC提供的美国：关税税率：应用：加权平均数：初级产品数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的美国 – 表 US.世行.WDI：贸易关税。