According to estimates, 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. If Trump's proposals go into effect, it is estimated that the average tariff rate of all imports would almost triple, marking the highest rate in the United States since 1969.

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 graph illustrates the percentage of U.S. steel imports from selected countries that are predicted to become subject to trade laws if the Trump administration follows through on its "100 day" action plan as of 2017. In this scenario, the percentage of U.S. steel imports from China covered by such trade restrictions is expected to amount to about *** percent. Previously, the United States had already put a stop to a large part of the potential steel imports from China through antidumping trade restrictions. Across all industries, some *** percent of Chinese exports to the United States were subject to barriers such as antidumping and countervailing duties as of 2016.

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.; ;

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.; ;

US Tariff Impact on Market

The US tariff policies have significantly impacted the global trade management market, leading to both opportunities and challenges for businesses. In particular, tariffs on imported goods have increased the complexity of managing cross-border trade, requiring businesses to implement more sophisticated trade management solutions.

As companies face rising costs due to tariffs, the demand for trade management systems that help optimize customs compliance, minimize duties, and streamline logistics has surged. Furthermore, sectors such as manufacturing, retail, and transportation have felt the brunt of these tariffs, with industries directly impacted by increased trade barriers.

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For example, the retail sector has seen a rise in goods costs, ultimately affecting margins. The US tariff impact on sectors like manufacturing and retail is approximately 10-15% as they deal with higher raw material costs and inventory disruptions. Companies now look for more automation and integrated solutions to mitigate these costs and streamline operations.

➤ Economic Impact

The US tariffs have led to an increased cost of imports, pushing businesses to adopt more efficient trade management systems. As tariffs increase, businesses are forced to reevaluate their supply chain strategies, leading to higher operational costs. In the long term, this could prompt global shifts in trade flows.

➤ Geographical Impact

US tariffs have disproportionately affected countries with high trade volumes with the US, especially China, Mexico, and Canada. As tariffs increase, businesses in these regions must adapt to higher costs and potential disruptions. This shift influences regional trade agreements and the movement of goods, altering global trade dynamics.

➤ Business Impact

US tariffs have forced businesses to invest in advanced trade management technologies to mitigate the effects of increased import duties and logistical delays. Companies are now focusing on automation, compliance optimization, and cost-effective solutions to navigate the growing complexities of international trade. Small and medium-sized enterprises face considerable challenges.

The United States recorded a trade deficit of 60.18 USD Billion in June of 2025. This dataset provides the latest reported value for - United States Balance of Trade - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

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.; ;

The U.S. goods trade deficit with China increased by nearly ** billion U.S. dollars in 2024, as China still had the biggest impact on U.S. bilateral trade. This is according to seasonally adjusted trade date from within the United States. Following the results of the U.S. elections in 2024, discussions surfaced on the potential of tariffs for countries that have a large trade surplus with the United States. The president-elect stated that trade tariffs of ** percent and ** percent might be implemented for goods from China or Mexico, respectively. The effects of such measures on the forecast GDP growth across the world were not yet clear. In Europe, however, Germany might be the most affected economy when the U.S. does implement tariffs.

The United States' total Imports in 2024 were valued at US$3.36 Trillion, according to the United Nations COMTRADE database on international trade. The United States' main import partners were: Mexico, China and Canada. The top three import commodities were: Machinery, nuclear reactors, boilers; Electrical, electronic equipment and Vehicles other than railway, tramway. Total Exports were valued at US$2.06 Trillion. In 2024, The United States had a trade deficit of US$1.29 Trillion.

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.; ;

US Tariff Impact on Market

The livestock farming technology market is vulnerable to changes in US tariffs, particularly on equipment imported from countries such as China and other international suppliers. US tariffs could lead to an increase in production costs, raising prices for essential farming technologies like IoT sensors, automated feeding systems, and milking robotics.

These higher prices may hinder adoption, especially among smaller or rural farms that are already constrained by financial limitations. It is estimated that tariffs could lead to an increase in costs by up to 25% for certain imported technologies.

For farmers, this could result in delayed investments or a shift towards less sophisticated, lower-cost alternatives, potentially impacting the overall growth of the market in the US. Companies within the US may also need to source domestically or from other countries not impacted by tariffs, which could disrupt existing supply chains.

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• Economic Impact: Increased tariffs will lead to higher costs for both manufacturers and farmers, limiting the affordability of livestock farming technology, particularly for small-scale operations.
• Geographical Impact: US farms, especially in rural areas, will be more affected by price hikes due to reliance on international suppliers. This could result in slower adoption rates in these regions.
• Business Impact: Manufacturers and tech companies will need to re-evaluate their supply chains and may be forced to pass the cost increases to farmers, negatively affecting sales and profitability.

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 US-China trade war created net export opportunities rather than simply shifting trade across destinations. Many “bystander” countries grew their exports of taxed products into the rest of the world (excluding US and China). Country-specific components of tariff elasticities, rather than specialization patterns, drove large cross-country variation in export growth of tariff-exposed products. The elasticities of exports to US-China tariffs identify whether a country’s exports complement or substitute US or China and its supply curve’s slope. Countries that operate along downward-sloping supplies whose exports substitute (complement) US and China are among the larger (smaller) beneficiaries of the trade war.

Imports in the United States decreased to 337.48 USD Billion in June from 350.31 USD Billion in May of 2025. This dataset provides the latest reported value for - United States Imports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Historical chart and dataset showing Virgin Islands (U.S.) tariff rates by year from N/A to N/A.

US Tariff Impact on the Market

The imposition of US tariffs on imported electronic devices, including language translators, has the potential to significantly affect the global intelligent language translator market.

Tariffs, particularly on products imported from countries like China, could lead to an increase in production costs for manufacturers, which may, in turn, result in higher retail prices for consumers. This could reduce demand, especially in price-sensitive segments. The impact is expected to be more prominent in the handheld segment, where many of these products are manufactured overseas.

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• Economic Impact: The economic impact of tariffs includes increased production costs, which could be passed on to consumers, thereby reducing disposable income and dampening overall demand for language translators. This could hinder market growth in the short term.
• Geographical Impact: The US, as a key market for intelligent language translators, could see a decline in import volumes, particularly from countries like China. This would lead to a geographical shift in the global market, with other regions like Europe and Asia benefiting from reduced US imports.
• Business Impact: Businesses operating in the US may need to explore domestic manufacturing options or find alternative suppliers to avoid the higher costs of imported goods. This shift could impact business models and profitability in the short term.

US Tariff Impact on Market Sectors

• The tariff impact could rise by up to 25% on impacted products from China.

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.; ;

US Tariff Impact on Market

U.S. tariffs on imported technology and software components have increased production costs for data governance software manufacturers. Many of the components necessary for building software solutions, such as cloud infrastructure, databases, and storage solutions, are imported from countries like China.

These tariffs have led to price hikes for U.S. companies that depend on foreign-made technology, thus increasing the overall cost of data governance solutions. The tariffs particularly affect cloud-based solutions, which require substantial infrastructure.

This increase in production costs is likely to be passed on to customers, slowing adoption, especially for small to medium enterprises (SMEs). However, the increasing demand for regulatory compliance, data protection, and risk management continues to drive growth in the market. The tariff impact is estimated to affect 15-20% of the data governance market, particularly in cloud-based and SaaS solutions.

US Tariff Impact Percentage for Impacted Sector

The U.S. tariffs have impacted approximately 15-20% of the data governance software market, especially in the cloud-based and SaaS solutions sectors, which rely heavily on imported technology.

Sources for US Tariff Impact Data

• Impact on Technology Production: U.S. tariffs raise costs for imported technology and software components.
• Increased Software Prices: Higher software costs due to tariffs.
• Supply Chain Disruptions: Impact of tariffs on data software production

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Economic Impact

• U.S. tariffs have increased production costs, particularly for cloud-based and SaaS data governance software.
• The higher prices may slow adoption of data governance solutions, particularly among SMEs and cost-sensitive organizations.
• Despite cost increases, strong demand for data protection and regulatory compliance fuels continued growth in the sector.

Geographical Impact

• North America, particularly the U.S., faces higher costs for data governance solutions due to tariffs on imported technology.
• Europe and Asia-Pacific regions are less affected, with companies leveraging local and regional supply chains.
• The global shift to SaaS and cloud-based solutions is accelerating, with the U.S. still holding a dominant share despite tariff impacts.

Business Impact

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