Germany DE: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.330 % in 2022. This records a decrease from the previous number of 1.390 % for 2021. Germany DE: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 2.020 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3.370 % in 2001 and a record low of 1.330 % in 2022. Germany DE: 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 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.;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).

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.; ;

Techsalerator’s Import/Export Trade Data for North America

Techsalerator’s Import/Export Trade Data for North America delivers an exhaustive and nuanced analysis of trade activities across the North American continent. This extensive dataset provides detailed insights into import and export transactions involving companies across various sectors within North America.

Coverage Across All North American Countries

The dataset encompasses all key countries within North America, including:

1. United States

The dataset provides detailed trade information for the United States, the largest economy in the region. It includes extensive data on trade volumes, product categories, and the key trading partners of the U.S. 2. Canada

Data for Canada covers a wide range of trade activities, including import and export transactions, product classifications, and trade relationships with major global and regional partners. 3. Mexico

Comprehensive data for Mexico includes detailed records on its trade activities, including exports and imports, key sectors, and trade agreements affecting its trade dynamics. 4. Central American Countries:

Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama The dataset covers these countries with information on their trade flows, key products, and trade relations with North American and international partners. 5. Caribbean Countries:

Bahamas Barbados Cuba Dominica Dominican Republic Grenada Haiti Jamaica Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago Trade data for these Caribbean nations includes detailed transaction records, sector-specific trade information, and their interactions with North American trade partners. Comprehensive Data Features

Transaction Details: The dataset includes precise details on each trade transaction, such as product descriptions, quantities, values, and dates. This allows for an accurate understanding of trade flows and patterns across North America.

Company Information: It provides data on companies involved in trade, including names, locations, and industry sectors, enabling targeted business analysis and competitive intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, offering insights into market dynamics and sector-specific trends within North America.

Trade Trends: Historical data helps users analyze trends over time, identify emerging markets, and assess the impact of economic or political events on trade flows in the region.

Geographical Insights: The data offers insights into regional trade flows and cross-border dynamics between North American countries and their global trade partners, including significant international trade relationships.

Regulatory and Compliance Data: Information on trade regulations, tariffs, and compliance requirements is included, helping businesses navigate the complex regulatory environments within North America.

Applications and Benefits

Market Research: Companies can leverage the data to discover new market opportunities, analyze competitive landscapes, and understand demand for specific products across North American countries.

Strategic Planning: Insights from the data enable companies to refine trade strategies, optimize supply chains, and manage risks associated with international trade in North America.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development strategies.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in North America's diverse economies.

Techsalerator’s Import/Export Trade Data for North America offers a vital resource for organizations involved in international trade, providing a thorough, reliable, and detailed view of trade activities across the continent.

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.

This dataset shows the UK import tariffs which will apply from 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 gudiance on the content of the data and how to interpret it, see the guidance in the Tariff Data Manual.

There are two tables available, which show the same underlying data in two formats:

Measures on declarable commodities

This is an expanded table showing 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 (i.e. they do not have any commodity codes below them in the hierarchy) and are therefore at the most granular classification for that product. Any code in this table is usable on declarations at the rates specified.

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.

Accuracy

Every effort has been made to ensure the tariff information in this dataset is correct. However, engagement with businesses has indicated that early access is required and we have prioritised making the data available now while we carry out further quality assurance checks. The tariffs in this dataset are a representation of future events and as such are subject to change.

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 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.

Techsalerator’s Import/Export Trade Data for Europe

Techsalerator’s Import/Export Trade Data for Europe offers a meticulously detailed and expansive analysis of trade activities across the European continent. This robust data resource provides an in-depth examination of import and export transactions involving companies in a wide range of industries within the European Union (EU) and the broader European region.

Coverage Across All EU Countries

The dataset encompasses all 27 EU member countries, ensuring a comprehensive overview of trade dynamics across the region. This includes:

Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Comprehensive Data Features

Transaction Details: Each record in the dataset provides granular details on individual trade transactions, including the nature of goods or services exchanged, quantities, values, and transaction dates.

Company Information: Data includes specific information about the trading companies involved, such as company names, addresses, and sectors, allowing for targeted analysis and business insights.

Categorization: Transactions are categorized by industry sectors, product categories, and trade partners, providing clarity on market trends and sector-specific performance.

Trade Trends: The dataset includes historical trade trends and patterns, helping users analyze shifts in trade volumes, emerging markets, and economic impacts over time.

Geographical Insights: Users can explore regional trade flows and cross-border trade dynamics within the EU and with non-EU European countries.

Regulatory and Compliance Data: Information on relevant trade regulations, tariffs, and compliance requirements is included, assisting businesses in navigating the complex regulatory landscape of international trade.

Applications and Benefits

Market Research: Businesses can leverage the data to identify new market opportunities, track competitor activities, and assess the demand for specific products across different European regions.

Strategic Planning: Companies can use the insights to develop more effective trade strategies, optimize supply chains, and manage risks associated with international trade.

Economic Analysis: Analysts and policymakers can use the data to monitor economic performance, understand trade imbalances, and make informed decisions on trade policies and economic development initiatives.

Techsalerator’s Import/Export Trade Data for Europe is a vital tool for any organization involved in international trade, providing a detailed, reliable, and comprehensive view of the trade landscape across Europe.

Bangladesh BD: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 13.340 % in 2021. This records a decrease from the previous number of 13.360 % for 2020. Bangladesh BD: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 14.220 % from Dec 1989 (Median) to 2021, with 23 observations. The data reached an all-time high of 112.120 % in 1989 and a record low of 8.700 % in 2008. Bangladesh BD: 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 Bangladesh – Table BD.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 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.;;

WTO Integrated Database (IDB) and Consolidated Tariff Schedule (CTS) contains annual imports (values) and tariff structures (current and final Bound, MFN Applied and Preferential tariffs, ad-valorem or not) since 1996 at the National tariff line level for WTO member countries only.

Bosnia and Herzegovina BA: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data was reported at 8.440 % in 2021. This records a decrease from the previous number of 8.740 % for 2020. Bosnia and Herzegovina BA: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data is updated yearly, averaging 8.180 % from Dec 2001 (Median) to 2021, with 17 observations. The data reached an all-time high of 52.140 % in 2019 and a record low of 7.460 % in 2001. Bosnia and Herzegovina BA: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.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.;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 millions of people that book journeys with GoEuro each month all do so with widely differing agendas Some arrive looking for a cheap deal while others want to travel the length and breadth of the continent in luxury GoEuro and our providers cater for these criteria and everything in between, so we thought we rsquo d take a look at the data and see what average prices our users were choosing to pay in each different European country With offers from more than 450 operators and millions of users searching for connections in countries across Europe every week, the GoEuro database offers a unique perspective on actual consumer behaviour, and on effective price levels resulting from the interplay of supply and demand in each market This is not just an analysis of prices and tariffs offered by operators, let alone of the cheapest fares available in each case Rather, our data shows the average price actually paid by travelers, after choosing from the full menu of different rail tariffs, as well as bus and air travel options for their journey Prices are in Euros per 100 km of travel taken as an average from our booking platform from April 2015 to April 2016 nbsp

TR: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 2.740 % in 2016. This records a decrease from the previous number of 3.190 % for 2015. TR: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 2.380 % from Dec 1993 (Median) to 2016, with 21 observations. The data reached an all-time high of 6.740 % in 1995 and a record low of 1.470 % in 2006. TR: 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 Turkey – Table TR.World Bank: 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.; ;

Burundi BI: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 16.010 % in 2022. This records a decrease from the previous number of 16.210 % for 2021. Burundi BI: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 13.350 % from Dec 2002 (Median) to 2022, with 19 observations. The data reached an all-time high of 29.810 % in 2009 and a record low of 6.690 % in 2016. Burundi BI: 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 Burundi – Table BI.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).

Germany DE: Share of Tariff Lines with Specific Rates: All Products data was reported at 0.771 % in 2022. This records an increase from the previous number of 0.692 % for 2021. Germany DE: Share of Tariff Lines with Specific Rates: All Products data is updated yearly, averaging 0.954 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 8.122 % in 2020 and a record low of 0.635 % in 2016. Germany DE: 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 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.;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: Most Favored Nation: Weighted Mean: All Products data was reported at 2.680 % in 2022. This records a decrease from the previous number of 2.850 % for 2021. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: All Products data is updated yearly, averaging 3.110 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.070 % in 2001 and a record low of 2.680 % in 2022. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: All 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 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.;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).

Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Manufactured Products data was reported at 3.240 % in 2022. This records an increase from the previous number of 2.900 % for 2021. Germany DE: Tariff Rate: Most Favored Nation: Weighted Mean: Manufactured Products data is updated yearly, averaging 3.420 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3.860 % in 2002 and a record low of 2.900 % in 2021. Germany DE: 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 Germany – Table DE.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 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).

CR: 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. CR: Share of Tariff Lines with Specific Rates: Manufactured 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 0.019 % in 1996 and a record low of 0.000 % in 2022. CR: 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 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. 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).

BO: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 3.270 % in 2022. This records an increase from the previous number of 2.950 % for 2021. BO: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 4.665 % from Dec 1993 (Median) to 2022, with 30 observations. The data reached an all-time high of 10.300 % in 2002 and a record low of 2.060 % in 2011. BO: 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 Bolivia – Table BO.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).

Germany DE: Share of Tariff Lines with International Peaks: Primary Products data was reported at 12.958 % in 2022. This records a decrease from the previous number of 18.199 % for 2021. Germany DE: Share of Tariff Lines with International Peaks: Primary Products data is updated yearly, averaging 18.555 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 21.934 % in 2003 and a record low of 5.650 % in 2020. Germany DE: Share of Tariff Lines with International Peaks: 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 international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. 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).