President Trump's proposals to impose universal tariffs as well as tariffs on Chinese, Canadian, and Mexican imports would considerably increase the average tariff rate. It's estimated that, if put into effect, the average tariff rate including dutiable imports would reach almost 18 percent, up from two percent in 2024. Tariff rates are higher when dutiable imports are included because they refer only to goods that are actually subject to tariffs, rather than all imports. This skews the average tariff rate upward because it excludes duty-free goods. Trump's proposal for a universal 10 percent tariff on all imports would impose a flat tax on all imports, rather than just dutiable goods. This would result in a sharp increase in the overall tariff burden because previously duty-free goods would be taxed.

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.

In early April, claiming to boost the country's domestic economy, President Trump made an executive order to implement new, widespread tariffs. In addition to the 10 percent baseline tariff imposed on all U.S. imports, Trump also announced specific tariffs on a number of important trading partners, such as the European Union, China, and Vietnam, which account for over 40 percent of all U.S. imports. The baseline tariffs are set to go into effect on April 5, and the customized tariffs April 9.

Because tariffs are a tax on foreign goods, tariffs are thought to reduce imports. However, imports may actually increase after a tariff is announced if importers can stock inventories ahead of the tariff’s implementation. We find that after the announcement of additional tariffs on China in May 2024, imports from China increased by 15 percent for EV batteries, which are difficult to substitute.

Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: Primary Products data was reported at 5.040 % in 2022. This records a decrease from the previous number of 5.170 % for 2021. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: Primary Products data is updated yearly, averaging 6.340 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 16.900 % in 2003 and a record low of 4.240 % in 1993. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Trade Tariffs. Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. 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. 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.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Canada CA: Share of Tariff Lines with Specific Rates: Manufactured Products data was reported at 0.000 % in 2022. This stayed constant from the previous number of 0.000 % for 2021. Canada CA: Share of Tariff Lines with Specific Rates: Manufactured Products data is updated yearly, averaging 0.010 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 3.659 % in 1993 and a record low of 0.000 % in 2022. Canada CA: Share of Tariff Lines with Specific Rates: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Trade Tariffs. Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. 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.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Germany DE: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 0.840 % in 2022. This records a decrease from the previous number of 1.340 % for 2021. Germany DE: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 1.690 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.800 % in 2001 and a record low of 0.830 % in 2020. Germany DE: 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 Germany – Table DE.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 tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

China Government Revenue: Tax: Year to Date: Tariffs data was reported at 48.300 RMB bn in Mar 2025. This records an increase from the previous number of 31.600 RMB bn for Feb 2025. China Government Revenue: Tax: Year to Date: Tariffs data is updated monthly, averaging 128.732 RMB bn from Jan 2007 (Median) to Mar 2025, with 211 observations. The data reached an all-time high of 299.785 RMB bn in Dec 2017 and a record low of 12.274 RMB bn in Jan 2007. China Government Revenue: Tax: Year to Date: Tariffs data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Revenue: Tax.

Explore how shifting U.S. trade policies are reshaping industry costs, risk and consumer prices—and what it means for business planning in 2025.

Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data was reported at 1.440 % in 2022. This records a decrease from the previous number of 1.670 % for 2021. Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data is updated yearly, averaging 1.750 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3.040 % in 2001 and a record low of 1.440 % in 2022. Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Trade Tariffs. Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. 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. 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. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. 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.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 0.760 % in 2022. This records a decrease from the previous number of 1.770 % for 2021. Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 1.010 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 6.750 % in 1989 and a record low of 0.760 % in 2022. Canada CA: 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 Canada – Table CA.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 tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Access official WTO tariff and trade data for over 170 economies. Compare tariffs, imports, exports, and access downloadable data.

This table contains data on the tariffs of the water board levies. Water boards impose these levies as remuneration for their legal tasks. The most important legal tasks are flood defense, water management (ensuring the right water level for agriculture, nature, residents) and ensuring water quality. Some water boards also manage roads and waterways. The water boards impose water system levies, road levies and non-task-related levies (till 2015) on four categories of taxpayers: residents, owners of buildings, owners of land (unbuilt) and owners of nature sites. A water board can choose to impose a separate road levy or to pay the costs of road management and maintenance from the water system levy. Water boards can apply tariff differentiation. This means that a water board can use different tariffs for the same levy for, for example, areas outside dikes and inside dikes. If this is the case, the table shows an average rate. To calculate the average rate, the total revenue is divided by the total number of units on which the charge is levied. The data included in this table have been derived from the budgets as reported by the water boards prior to each reporting year.

Data available from: 2009

Status of the figures: The rates for the year 2025 are provisional, rates over previous years are definitive. All provisional figures are subject to adjustments based on new or updated source material.

Changes as of 5 March 2025: The provisional figures for 2025 have been added. The figures for 2024 are definite.

When will new figures be published? The new figures from the water board budgets are published in the first quarter of the financial year. The figures can be adjusted on the basis of the availability of new or updated source material. In general, the adjustments are small. The adjustments are made at the moment a new annual figure is added to the series.

Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products data was reported at 3.040 % in 2022. This records a decrease from the previous number of 3.160 % for 2021. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products data is updated yearly, averaging 4.650 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 9.530 % in 1995 and a record low of 3.040 % in 2022. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Trade Tariffs. Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. 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.;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.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data: (1) These data were interpreted and transcribed manually from utility tariff sheets, which are often complex. It is a certainty that these data contain errors, and therefore should only be used as a reference. Actual utility tariff sheets should be consulted if an action requires this type of data. (2) These data only contains tariffs that were entered into the Utility Rate Database. Since not all tariffs are designed in a format that can be entered into the Database, this list is incomplete - it does not contain all tariffs in the United States. (3) These data may have changed since this list was developed (4) Many of the underlying tariffs have additional restrictions or requirements that are not represented here. For example, they may only be available to the agricultural sector or closed to new customers. (5) If there are multiple demand charge elements in a given tariff, the maximum demand charge is the sum of each of the elements at any point in time. Where tiers were present, the highest rate tier was assumed. The value is a maximum for the year, and may be significantly different from demand charge rates at other times in the year. Utility Rate Database: https://openei.org/wiki/Utility_Rate_Database

This data package includes the underlying data to replicate the charts, tables, and calculations presented in Tariffs as Fiscal Policy, PIIE Working Paper 25-19.

If you use the data, please cite as:

Kimberly A. Clausing and Maurice Obstfeld. 2025. Tariffs as Fiscal Policy. PIIE Working Paper 25-19. Washington: Peterson Institute for International Economics.

Import tariffs implemented by the United States in 2025 are forecast to impact the revenue of e-commerce in the years to come. Not accounting for recent import tariff changes, the online retail revenue in the U.S. is forecast to reach **** trillion U.S. dollars by 2030. In a scenario with high import tariffs being implemented, the market value would reach **** trillion U.S. dollars in that year.

This poll is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents' opinions of President Bill Clinton, Bob Dole, and Newt Gingrich were elicited, along with assessments of Clinton's handling of his job as president, foreign policy, the economy, the situation in Bosnia, and United States trade relationships with Japan. The role of the United Nations was examined in detail, with specific questions on the situation in Bosnia. Other topics included commercial airline safety, tariffs, the criminal justice system, the O.J. Simpson trials, and the quality of American versus Japanese automobiles. Background information on respondents includes voter registration status, political party, political orientation, education, age, sex, race, and family income.

Historical dataset showing New Caledonia tariff rates by year from N/A to N/A.

Canada CA: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.370 % in 2022. This records a decrease from the previous number of 2.350 % for 2021. Canada CA: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 1.510 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 7.020 % in 1989 and a record low of 1.010 % in 1999. Canada CA: 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 Canada – Table CA.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 tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).