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<li>China tariff rates for 2020 was <strong>2.47%</strong>, a <strong>0.06% decline</strong> from 2019.</li>
<li>China tariff rates for 2019 was <strong>2.53%</strong>, a <strong>0.86% decline</strong> from 2018.</li>
<li>China tariff rates for 2018 was <strong>3.39%</strong>, a <strong>0.44% decline</strong> from 2017.</li>
</ul>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.
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.
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.
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<li>U.K. tariff rates for 2021 was <strong>0.72%</strong>, a <strong>0.56% decline</strong> from 2020.</li>
<li>U.K. tariff rates for 2020 was <strong>1.28%</strong>, a <strong>0.56% decline</strong> from 2019.</li>
<li>U.K. tariff rates for 2019 was <strong>1.84%</strong>, a <strong>0.01% increase</strong> from 2018.</li>
</ul>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.
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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.; ;
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. According to a survey taken just after the announcement, roughly 20 percent of surveyed Americans were planning to make purchases because they expected prices to increase as a result of the tariffs.
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The U.S. tariff policies on semiconductor components, including DRAM chips, have significantly impacted the global DRAM market. Tariffs, particularly on Chinese imports, have led to higher production costs for U.S. companies that rely on Chinese-manufactured DRAM.
These tariffs have increased the cost of DRAM chips, particularly for mobile phones and other electronic devices. U.S. companies that rely on Chinese suppliers for DRAM components have been forced to raise their prices or absorb higher production costs. This has resulted in increased prices for consumers and limited affordability, especially in sectors like consumer electronics and smartphones, where DRAM is a key component.
However, the demand for DRAM in mobile phones, computers, and gaming devices remains strong, ensuring continued market growth despite the tariff challenges. The U.S. tariff impact is particularly significant for the DDR SDRAM and mobile phone segments, where approximately 20-25% of the market depends on imported DRAM components.
The U.S. tariff on DRAM components has affected approximately 20-25% of the market, especially impacting sectors like mobile phones and DDR SDRAM, which heavily rely on imported DRAM chips.
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<li>OECD members tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>OECD members tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>OECD members tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>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.
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US tariffs on imported RFID hardware and components could affect the overall cost structure for data centers, potentially raising the price of RFID systems. This could slow down adoption rates, especially for smaller data centers that are highly cost-sensitive.
In the short term, RFID technology providers may face supply chain disruptions, leading to delays in product availability. Additionally, tariffs on passive RFID components could particularly impact the hardware segment, which holds over 71% of the market share.
While the long-term impact of these tariffs remains uncertain, the growth trajectory of the RFID market in US data centers is expected to continue, as the benefits of asset tracking and management in improving operational efficiency outweigh the challenges posed by tariffs.
Tariffs could increase the cost of importing RFID hardware components, driving up the price of RFID systems in US data centers. This may lead to a reduced demand, particularly from smaller data centers that are more price-sensitive. The overall adoption of RFID technology may slow down temporarily.
North America, the leading market for RFID in data centers, will face a greater tariff burden due to the high import dependence for hardware components. This could delay the adoption of RFID systems in the region, although demand for asset tracking and management will likely drive growth in the long run.
Businesses operating in the US data center RFID market could face higher costs due to tariffs on imported components. This might lead to increased product prices and potentially lower profit margins. Manufacturers and service providers will need to adjust their strategies to mitigate cost increases, possibly by seeking local sourcing options.
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Procter & Gamble may hike prices amid potential Trump tariffs, with strategies focusing on cost-cutting and supply chain flexibility to address import vulnerabilities.
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Chipotle CEO Scott Boatwright reveals the company's plan to absorb costs from Trump's tariffs, avoiding price hikes, with efficient sourcing and innovative operations.
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<li>Brazil tariff rates for 2020 was <strong>8.41%</strong>, a <strong>0.44% increase</strong> from 2019.</li>
<li>Brazil tariff rates for 2019 was <strong>7.97%</strong>, a <strong>0.02% increase</strong> from 2018.</li>
<li>Brazil tariff rates for 2018 was <strong>7.95%</strong>, a <strong>0.64% decline</strong> from 2017.</li>
</ul>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.
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Uzbekistan UZ: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 8.730 % in 2015. This records an increase from the previous number of 6.830 % for 2014. Uzbekistan UZ: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 7.125 % from Dec 2001 (Median) to 2015, with 8 observations. The data reached an all-time high of 8.730 % in 2015 and a record low of 5.830 % in 2001. Uzbekistan UZ: 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 Uzbekistan – Table UZ.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.; ;
According to a 2024 survey, roughly two-thirds of Americans thought that increasing tariffs on foreign goods would increase prices in the country. Another ten percent agreed that increasing tariffs would have no great effect on prices in the U.S.
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Audi is weighing the possibility of raising prices as a response to U.S. import tariffs, with a focus on localizing production within North America to alleviate costs.
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.
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US tariffs on key components of modular data centers, such as servers, cooling systems, and power units, could raise the overall cost of production, affecting the affordability of these data center solutions. As large enterprises, which account for 65.3% of the market, require scalable and cost-effective solutions, the increased costs could lead to a slowdown in demand, particularly for small and medium enterprises that may struggle with higher operational expenses.
However, the growing demand for flexible and energy-efficient data center solutions, driven by IT and telecommunications, could help mitigate the impact of tariff-induced price hikes. Larger enterprises may also seek alternative sourcing strategies to reduce costs, but the short-term impact could affect growth in the modular data center market.
Tariffs could increase production costs for modular data center components, raising prices for consumers. This could affect both large enterprises and SMEs, especially in regions with high cost sensitivity. Higher prices may slow the adoption of modular data centers, particularly for businesses with tight IT infrastructure budgets.
North America, the dominant region, will experience the most significant impact from tariffs due to its reliance on imported data center components. These increased costs may reduce demand in the U.S., slowing the growth of modular data centers, particularly in industries like IT and telecommunications that rely on cost-efficient solutions.
Companies in the modular data center market may face margin compression due to increased component costs from tariffs. Larger enterprises may absorb the costs, but SMEs could be adversely affected by price increases, resulting in lower adoption rates. This could also slow growth in North America's highly competitive data center market.
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The U.S. drone market is affected by tariffs imposed on Chinese imports, which have led to higher costs for drones and drone components. In particular, the tariffs on multi-rotor drone parts, which dominate the market, have increased production costs for U.S.-based manufacturers.
As a result, drone prices have risen, making them less affordable for consumers. In response, U.S. companies have started to source parts from alternative regions or explore local manufacturing to reduce tariff-related costs. These shifts in the supply chain have sparked innovations, such as the development of cost-effective alternatives to high-priced Chinese components.
While the tariffs have led to short-term price increases, they have also prompted greater investment in the domestic drone industry, stimulating local production and technological advancements. However, the tariff impact on the consumer drone market is felt mostly in segments reliant on imported components, like multi-rotor drones used for hobbyist purposes.
The U.S. tariff on drone parts has impacted approximately 20-25% of the consumer drone market, particularly affecting multi-rotor drones and other products that rely on Chinese-manufactured components.
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US tariffs on imported components for AI servers, including GPUs and hardware, could have a significant impact on the AI servers in the financial services market. Increased costs due to tariffs may raise the overall price of AI servers, especially for cloud-based and GPU-based servers, which held a dominant share of the market in 2024.
As a result, financial services firms may face higher operational costs, potentially leading to slower adoption, particularly in sectors like banking, which accounted for 30.2% of the market in 2024. While the tariffs may present short-term challenges, the ongoing demand for AI-driven fraud detection and security solutions could mitigate some of the adverse effects. Over time, manufacturers may adapt by shifting production or seeking alternative suppliers to manage the tariff impact, ensuring continued market growth.
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Tariffs may increase the cost of hardware components such as GPUs and servers, leading to higher prices for AI servers in financial services. This could reduce affordability, especially for financial institutions in price-sensitive markets. Smaller firms or regions with limited budgets may face delays in adopting AI server solutions.
North America, particularly the U.S., will be the most affected by tariffs on AI hardware components. This could result in slower growth in the U.S. market, which is currently the largest, as financial institutions may face increased costs. Other regions with lower tariffs may experience faster growth in comparison.
Businesses in the AI servers market may see reduced profit margins due to higher component costs from tariffs. The price increases could delay procurement of AI servers, particularly for fraud detection applications, which dominate the market. Companies might explore new sourcing strategies or absorb costs to mitigate these challenges.
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US tariffs on imported components could have a significant impact on the global IoT sensors market, particularly in the pressure sensor and consumer electronics segments, which heavily rely on international supply chains. Tariffs could increase production costs by 4-6%, impacting the affordability of IoT sensors for price-sensitive applications, such as consumer electronics and industrial devices.
Additionally, the increase in production costs may hinder market growth, as businesses would either absorb the added costs or pass them on to consumers, reducing competitiveness. Moreover, supply chain disruptions could delay the availability of key components, particularly for wireless IoT sensors.
While US manufacturers may explore domestic production to mitigate these tariff impacts, this may lead to increased costs in the short term. Despite these challenges, the long-term growth potential of the IoT sensors market remains strong, driven by innovation in sensor technology and the expansion of IoT applications in various industries.
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Tariffs could increase production costs by 4-6% for key segments, particularly the pressure sensor and consumer electronics sectors, which are the largest contributors to the IoT sensor market.
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<li>China tariff rates for 2020 was <strong>2.47%</strong>, a <strong>0.06% decline</strong> from 2019.</li>
<li>China tariff rates for 2019 was <strong>2.53%</strong>, a <strong>0.86% decline</strong> from 2018.</li>
<li>China tariff rates for 2018 was <strong>3.39%</strong>, a <strong>0.44% decline</strong> from 2017.</li>
</ul>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.