Overview:  This page contains the latest trade data of Seats. In 2019, Seats were the world's 32nd most traded product, with a total trade of $82.6B. Between 2018 and 2019 the exports of Seats decreased by -0.78%, from $83.2B to $82.6B. Trade in Seats represent 0.46% of total world trade.

Exports: In 2019 the top exporters of Seats  were China ($26.7B), Mexico ($6.82B), Poland ($6.14B), Germany ($4.54B), and United States ($4.1B).

Imports: In 2019 the top importers of Seats were United States ($22.3B), Germany ($8.85B), France ($4.49B), United Kingdom ($3.74B), and Canada ($3.5B).

Tariffs: In 2018 the average tariff for Seats was 14.3%, making it the 228th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Seats are Iran (39.6%), Bolivia (38.5%), Cape Verde (36.9%), Syria (36.4%), and Cambodia (35%). The countries with the lowest tariffs are Hong Kong (0%), Singapore (0%), Switzerland (0%), Norway (0%), and Ukraine (0%).

Ranking: Seats ranks 554th in the Product Complexity Index (PCI).

Description: Seats are used in the production of other goods. They can be made from a variety of materials, including wood, plastic, and metal.

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): China, $26.7B

Top Destination (2019): United States, $22.3B

Seats are the world's 32nd most traded product.

In 2019, the top exporters of Seats were China ($26.7B), Mexico ($6.82B), Poland ($6.14B), Germany ($4.54B), and United States ($4.1B).

In 2019, the top importers of Seats were United States ($22.3B), Germany ($8.85B), France ($4.49B), United Kingdom ($3.74B), and Canada ($3.5B).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): Vietnam, $920M

Top Destination Growth (2018 - 2019): United Kingdom, $186M

Between 2018 and 2019, the exports of Seats grew the fastest in Vietnam ($920M), Turkey ($298M), United Kingdom ($181M), Cambodia ($149M), and Indonesia ($47.7M).

Between 2018 and 2019, the fastest growing importers of Seats were United Kingdom ($186M), Vietnam ($163M), Saudi Arabia ($141M), Malaysia ($113M), and Singapore ($101M).

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Market Concentration

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Cumulative market share

This chart shows the evolution of the market concentration of exports of Seats.

In 2019,  market concentration measured using Shannon Entropy, was 4.13. This means that most of the exports of Seats are explained by 17 countries.

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TOP NET EXPORTER (2019): China, $25.4B

TOP NET IMPORTER (2019): United States, $18.2B

This map shows which countries export or import more of Seats. Each country is colored based on the difference in exports and imports of Seats during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Seats were China ($25.4B), Mexico ($4.84B), Poland ($4.41B), Vietnam ($2.91B), and Italy ($2.45B).

In 2019, the countries that had a largest trade value in imports than in exports of Seats were United States ($18.2B), Germany ($4.31B), France ($3.13B), Japan ($1.97B), and Canada ($1.85B).

Disaggregation

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Value

In 2019, the world most traded Seats, disaggragated by their HS6 level were Parts of seats ($31.3B), Seats with wooden frames, upholstered nes ($18.4B), Seats with metal frames, upholstered nes ($7.75B), Seats with metal frames, nes ($5.71B), and Swivel seats with variable height adjustment ($4.83B)

Import Tariffs

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In 2018, the average tariff for importing Seats was 14.3%. The countries with the highest tariffs for importing Seats were Iran (39.6%), Bolivia (38.5%), Cape Verde (36.9%), Syria (36.4%), and Cambodia (35%).

Product Complexity

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Diversification Frontier

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Specialization

The Complexity-Relatedness diagram compares the risk and the strategic value of a product's potential export opportunities. Relatedness is predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth potential, lower income inequality, and lower emissions.

Country by Relatedness

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The following visualization shows the relatedness of Seats to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.