The ad valorem equivalent (AVE) of non-tariff measures (NTMs) is the uniform tariff that will result in the same trade impacts on the import of a product due to the presence of the NTMs. In other words, the AVEs represent the additional costs that the presence of NTMs has on imports. The AVE estimation is based on data in the TRAINS database. To minimize time inconsistencies, the analysis utilizes a reduced sample of NTMs data collected between 2012 and 2016. The data is transformed in a cross section database spanning about 40 importing countries plus the European Union, about 200 exporting countries. AVEs are estimated at the HS 6 digit classification and on a bilateral basis. Additional data required for the estimation originates from TRAINS (tariffs), the United Nations Comtrade database (trade flows) and from the World Development Indicators database. The AVEs of NTMs presented here are based on the estimation method developed in Kee and Nicita (2018), which in turn, builds on the work of Kee, Nicita and Olarreaga (2009). The AVE of an NTM indicates the proportional rise in the domestic price of the goods to which it is applied, relative to a counterfactual where it is not applied.

WITS is a trade software tool giving access to bilateral trade between countries based on various product classifications, product details, years, and trade flows. It also contains tariff and non-tariff measures data, as well as analysis tool to calculate effects of tariff reductions. In addition, users have access to many visualization tools. - Periodicity: Quarter - Number of Economies: 219 - Trade imports, exports, re-imports, re-exports, gross exports, gross imports, MFN tariff rates, bound tariff raters, preferential tariffs. Non-Tariff Measure data with new UNCTAD classification now available. - Update Frequency: Quarterly - Access Option: API, Bulk download, Query tool

Non-tariff measures (NTMs) may lead to a higher regulatory burden on firms that are required to comply with them. The increase in similarity of NTMs applied on their respective imports by the trading partners may reduce this burden as exporting firms are required to comply with them regardless of whether they sell in the domestic market or export to markets with similar NTMs. I determine the influence of increasing similarity of NTMs applied by the US and its trading partners on the unit value of imports at the product-level.

Multilingual database covering all measures relating to tariff, commercial and agricultural legislation. Provides a clear view of what to do when importing or exporting goods.

TARIC, the integrated Tariff of the European Union, is a multilingual database in which are integrated all measures relating to EU customs tariff, commercial and agricultural legislation. By integrating and coding these measures, the TARIC secures their uniform application by all Member States and gives all economic operators a clear view of all measures to be undertaken when importing into the EU or exporting goods from the EU. It also makes it possible to collect EU-wide statistics for the measures concerned.

The TARIC contains the following main categories of measures:

• Tariff measures;

• Agricultural measures;

• Trade Defence instruments;

• Prohibitions and restrictions to import and export;

• Surveillance of movements of goods at import and export.

More information can be found under the European Binding Tariff Information for tariff information.

Trump_Tariff_Data

This dataset compiles key data points related to the impact and policy measures surrounding U.S. tariffs proposed or implemented by Donald Trump, particularly during the 2024 campaign and policy forecast period. It includes economic and trade metrics that provide context on U.S. trade balances, tariffs, and their international implications.

📁 Files & Structure

The dataset is divided into two main data tables:

📊 Data 1: Country-Level Trade & Tariff Overview

📈 Data 2: Tariff Policy Events & Economic Impact

💡 Use Cases

• Analyze the economic and geopolitical impact of tariff policies
• Forecast inflation or GDP shifts due to trade measures
• Build visual dashboards to compare U.S. trade relations by country
• Study election-cycle economic strategies and their global implications

Let us know if you create something cool using this dataset!

The TRade Analysis and Information System globally aims to increase the transparency in international trading conditions. TRAINS contains information from UNCTAD's Database on trade confirmation as well as other trade information components such as tariffs para-tariffs measures including TM's, PTM's and NTM's. The UNCTAD Database also contains information on the Generalized System of Preferences (GSP). TRAINS also has trade data involving imports obtained directly from the countries or indire ctly through organizations such as LAIA (Latin American Integration Association), EU(European Nation), IDB (Iinter-American Development) and WTO (World TRade Organization). There is also an alphabetical index of the Standard International Trade Classification (SITC), which enables one to find the corresponding SITC rev.3 code of an alphabetical list of commodities. Lastly TRAINS contains general documentation on various data elements including the import regimes, the GPA and other preferential schemes.

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.; ;

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.; ;

About

Overview from FAQ:

The Market Access Database is an important operational tool of the European Union's Market Access Strategy, supporting a continuous three-way exchange of information between the EU institutions, Member States and European business. The Market Access Strategy is a key pillar of the EU's Trade Policy which aims to reduce the obstacles faced by European exporters of goods and services. The Market Access Database is a free, interactive, easy to use service providing: Information about Market Access conditions in non-EU countries.

• A systematic way for the European Commission to follow up complaints from businesses about barriers to trade in non-EU countries.
• A means of ensuring that our trading partners are abiding by their international commitments.
• Better input for defining the EU's trade policy objectives on further trade liberalisation in the framework of the World Trade Organisation (e.g. Doha Development Agenda) and new free trade agreements between the EU and preferential partners (e.g. EU - MERCOSUR).

Access

Access to material via search interfaces, including:

• Complaint register
• Applied Tariff Database
• Trade Barriers Database
• SPS Database
• Statistical Database

Openness

Free to be re-used as long as attribution is given. The Copyright notice on the European Commission website states:

Reproduction is authorised, provided the source is acknowledged, save where otherwise stated.

Where prior permission must be obtained for the reproduction or use of textual and multimedia information (sound, images, software, etc.), such permission shall cancel the above-mentioned general permission and shall clearly indicate any restrictions on use.

Access to the Exporter's Guide and Applied Tariffs sections is limited to those within EU countries:

Access to the Sectoral and Trade Barriers Database, SPS Database, Statistics and Studies sections is free. However, information in the Exporter's Guide and Applied Tariffs sections is restricted to users in the Member States of the European Union and Acceding or Candidate Countries. From a technical point of view, if the computer on which your browser is running is not directly connected to the internet via an Internet Service Provider located in one of those countries, then you are prohibited from viewing the Exporter's Guide and Applied Tariffs data for any purpose.

A service to provide information on annual per capita wood consumption and wood consumption as a percentage of GDP to provide consumption trends of domestic population and log supply as a percentage of GDP

The World Integrated Trade Solution (WITS), developed by the World Bank, provides data on bilateral trade between countries based on various product classifications, product details, years, and trade flows. Additionally, it covers tariffs and non-tariff measures.

This page has been replaced with a newer page offering CSV and ODS versions of the tariff datasets The new page is Tariffs to trade with the UK from 1st January 2021 This dataset shows current UK import tariffs and historic versions applied since 1 January 2021. It lists preferential measures where the UK has entered into a new trade agreement or arrangement with a third country or territory. For other countries and territories, it shows the UK's Most Favoured Nation (MFN) tariffs. The dataset does not include other import duties (such as VAT) and details of quota volumes. # Notes on use For guidance on the content of the data and how to interpret it, see the Tariff Data Manual. There are 4 datasets available, which show the same underlying data in two formats: ## Full Tariff This table shows all duties and commodities being applied to the UK Tariff. ## Measures on declarable commodities This is series of tables separated into sections that show the measures that apply to all declarable commodity codes. These are 10-digit codes, which are at the lowest level in the commodity code hierarchy (as in they do not have any commodity codes below them in the hierarchy) This means they are at the most granular classification for that product. Any codes in these tables are usable on declarations at the rates specified. You can find which section you need on the UK Integrated Online Tariff. ## Measures as defined This is a smaller table showing where in the commodity code hierarchy each measure is defined. This includes commodity codes which are not declarable. Codes are organised in a hierarchy, with the 'indent' column identifying the depth of the code. Measures apply to all of the codes in the hierarchy below where they are defined. ## Commodities This table shows all the commodity codes used in the Tariff. It includes: * Specific IDs (SIDs) * Codes and parent codes * Code descriptions for the type of commodity * Validity start and end dates # Accuracy Every effort has been made to ensure the tariff information in this dataset is correct. At times, tariffs in this dataset are a representation of future events and as such are subject to change.

United States 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. United States 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. United States 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.; ;

US Tariff Impact on Market

US tariffs on imported components used in data center physical security solutions could have a significant impact on the overall market. With the solution segment dominating the market, the increased cost of critical components such as surveillance cameras, biometric scanners, and access control systems may raise the price of these security solutions.

This could lead to higher costs for data centers, particularly large data centers, which account for 43.5% of the market share. Furthermore, the IT and telecommunications sector, a significant user of data center security solutions, could experience delays and cost increases due to tariff-related disruptions.

Although these tariffs might cause short-term price hikes, the long-term growth in demand for physical security in data centers is likely to continue as security concerns grow alongside the increasing data volumes handled by large centers.

US Tariff Impact on Sectors

• Surveillance Solutions: 4%-6%
• Access Control Systems: 5%-7%
• Biometric Systems: 3%-5%

Economic Impact

Tariffs could raise the cost of components critical for data center physical security solutions, including cameras and biometric systems. This price increase may affect both suppliers and consumers, especially in large data centers, leading to higher capital and operational costs for data storage and management facilities.

Geographical Impact

North America, being the dominant market for data center physical security, will be significantly impacted by tariffs on imported security components. These tariffs could slow down the growth of data center infrastructure, particularly in the U.S., where advanced technology and high-security measures are crucial for maintaining data integrity.

Business Impact

Businesses in the data center physical security market could face reduced profit margins as increased tariffs on imported components lead to higher costs. Smaller companies may struggle to absorb these costs, which could impact competition. Larger players may pass on the cost increases to customers, affecting overall adoption.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/data-center-physical-security-market/free-sample/

Costa Rica CR: Share of Tariff Lines with Specific Rates: All Products data was reported at 0.000 % in 2022. This stayed constant from the previous number of 0.000 % for 2021. Costa Rica CR: Share of Tariff Lines with Specific Rates: All Products data is updated yearly, averaging 0.000 % from Dec 1995 (Median) to 2022, with 26 observations. The data reached an all-time high of 0.077 % in 1995 and a record low of 0.000 % in 2022. Costa Rica CR: 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 Costa Rica – Table CR.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.;;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).

VN: Share of Tariff Lines with Specific Rates: All Products data was reported at 0.452 % in 2016. This records an increase from the previous number of 0.446 % for 2015. VN: Share of Tariff Lines with Specific Rates: All Products data is updated yearly, averaging 0.329 % from Dec 1994 (Median) to 2016, with 17 observations. The data reached an all-time high of 0.843 % in 1994 and a record low of 0.000 % in 2009. VN: 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 Vietnam – Table VN.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.; ;

The African Continental Free Trade Area (AfCFTA) agreement, which entered into force at the beginning of 2021, aims to boost intra-African trade and to accelerate economic development on the continent. This report complements previous continental economy-wide assessments of the impacts of the AfCFTA by providing a more comprehensive description of the trade agreement’s effects on food systems and food security. The report employs a global, multiregional model to determine the trade creation and diversion effects of four liberalisation scenarios defined by various policy objectives. The main findings show that the trade agreement will be a positive contributor both to economic growth through higher value added production and to trade diversification. Food consumption across the continent will also increase. A coordinated liberalisation approach to promote trade in agri-food products will further boost food security outcomes. Nevertheless, food prices will increase slightly in most regions, showing the need for further consideration of food affordability aspects in lower-income groups. Results also highlight the importance of non-tariff measures and the capacity of the AfCFTA to reduce the non-tariff costs of intra-African trade.

IT: Share of Tariff Lines with Specific Rates: All Products data was reported at 0.766 % in 2016. This records a decrease from the previous number of 0.913 % for 2015. IT: Share of Tariff Lines with Specific Rates: All Products data is updated yearly, averaging 1.278 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 17.696 % in 1989 and a record low of 0.000 % in 2014. IT: 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 Italy – Table IT.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.; ;

RO: Share of Tariff Lines with Specific Rates: Primary Products data was reported at 2.816 % in 2016. This records a decrease from the previous number of 3.309 % for 2015. RO: Share of Tariff Lines with Specific Rates: Primary Products data is updated yearly, averaging 4.084 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 26.064 % in 1988 and a record low of 0.000 % in 2014. RO: 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 Romania – Table RO.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.; ;

DE: Share of Tariff Lines with Specific Rates: Primary Products data was reported at 2.623 % in 2022. This records an increase from the previous number of 2.284 % for 2021. DE: Share of Tariff Lines with Specific Rates: Primary Products data is updated yearly, averaging 3.299 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 26.653 % in 2020 and a record low of 2.135 % in 2016. DE: 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 Germany – Table DE.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. 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).