According to a survey taken in July 2025, roughly 27percent of surveyed Americans were planning to make purchases because they expected prices to increase as a result of the tariffs.
Prices were expected to change for all agri-food products in the United States due tariffs imposed on China, Mexico, and Canada in 2025. Imported products were expected to suffer the greatest price increases, but domestic products would see prices rise too, mostly due to the fact that stages of the production process might involve raw materials from other countries. Among the domestic agri-food products processed, rice would see the highest price increase, with 4.8 percent, while among imported products wheat would see the highest increase at 14.9 percent.
According to a 2025 survey, over one-quarter of Americans were planning on making electronics purchases because they expect prices to increase across the country as a result of Trump's proposed tariffs on all imported goods. Of those, 42 percent were between the age of 18 and 24, compared to only 12 percent 55 and older.
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United States US: Share of Tariff Lines with Specific Rates: Primary Products data was reported at 2.760 % in 2016. This records a decrease from the previous number of 2.785 % for 2015. United States US: Share of Tariff Lines with Specific Rates: Primary Products data is updated yearly, averaging 2.713 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 3.650 % in 1993 and a record low of 0.023 % in 1997. United States US: Share of Tariff Lines with Specific Rates: Primary Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: 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. 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.; ;
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United States US: Tariff Rate: Applied: Simple Mean: All Products data was reported at 2.870 % in 2016. This stayed constant from the previous number of 2.870 % for 2015. United States US: Tariff Rate: Applied: Simple Mean: All Products data is updated yearly, averaging 3.530 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.310 % in 1991 and a record low of 2.870 % in 2016. United States US: Tariff Rate: Applied: Simple 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. 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.; ; 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.; ;
This data package includes the underlying data files to replicate the data, tables, and charts presented in Why Trump’s tariff proposals would harm working Americans, PIIE Policy Brief 24-1.
If you use the data, please cite as: Clausing, Kimberly, and Mary E. Lovely. 2024. Why Trump’s tariff proposals would harm working Americans. PIIE Policy Brief 24-1. Washington, DC: Peterson Institute for International Economics.
According to a 2025 survey, nearly half of consumers in the United States intended to switch to more affordable alternatives of their favorite brands if prices rose due to Trump's proposed tariffs on international goods. Another 17 percent would stop purchasing the product altogether.
This dataset is the current 2025 Harmonized Tariff Schedule plus all revisions for the current year. It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.
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
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United States US: Tariff Rate: Most Favored Nation: Simple Mean: Primary Products data was reported at 3.020 % in 2016. This records an increase from the previous number of 2.990 % for 2015. United States US: Tariff Rate: Most Favored Nation: Simple Mean: Primary Products data is updated yearly, averaging 3.570 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 4.340 % in 1997 and a record low of 2.940 % in 2014. United States US: 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 United States – Table US.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 and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;
The FTA Tariff Rates API provides data about each country with whom the United States has a Free Trade Agreement (FTA). When the U.S. enters into an FTA with a foreign government, it negotiates lower tariff rates with that government for a wide variety of products. A tariff is a tax that a company must pay a foreign country when shipping a product to that country. Typically the FTA tariffs rates decline over several years.
The Trump administration's unprecedented tariffs are accelerating US-China decoupling, compelling business leaders to rethink strategies after decades of established trade norms.
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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.; ;
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United States US: Tariff Rate: Most Favored Nation: Simple Mean: All Products data was reported at 3.570 % in 2016. This records an increase from the previous number of 3.560 % for 2015. United States US: Tariff Rate: Most Favored Nation: Simple Mean: All Products data is updated yearly, averaging 3.860 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.760 % in 1993 and a record low of 3.540 % in 2014. United States US: 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 United States – Table US.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 and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;
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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.; ;
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US: Share of Tariff Lines with Specific Rates: Manufactured Products data was reported at 0.967 % in 2016. This records a decrease from the previous number of 0.969 % for 2015. US: Share of Tariff Lines with Specific Rates: Manufactured Products data is updated yearly, averaging 1.117 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.994 % in 1989 and a record low of 0.018 % in 1997. US: 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 United States – Table US.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.; ;
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United States US: Share of Tariff Lines with Specific Rates: All Products data was reported at 1.313 % in 2016. This records a decrease from the previous number of 1.319 % for 2015. United States US: Share of Tariff Lines with Specific Rates: All Products data is updated yearly, averaging 1.335 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.527 % in 1989 and a record low of 0.019 % in 1997. United States US: Share of Tariff Lines with Specific Rates: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.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.; ; 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.; ;
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United States US: Tariff Rate: Applied: Simple Mean: Manufactured Products data was reported at 2.960 % in 2016. This records a decrease from the previous number of 2.970 % for 2015. United States US: Tariff Rate: Applied: Simple Mean: Manufactured Products data is updated yearly, averaging 3.630 % from Dec 1989 (Median) to 2016, with 27 observations. The data reached an all-time high of 5.800 % in 1991 and a record low of 2.960 % in 2016. United States US: 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 USA – Table US.World Bank: 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 and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;
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Discover the impact of new tariffs on Vietnamese coffee imports and how they are expected to drive up US coffee prices, affecting robusta coffee supplies.
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Historical chart and dataset showing North America tariff rates by year from N/A to N/A.
According to a survey taken in July 2025, roughly 27percent of surveyed Americans were planning to make purchases because they expected prices to increase as a result of the tariffs.