Overview This page contains the latest trade data of Man-made filaments. In 2020, Man-made filaments were the world's 59th most traded product, with a total trade of $40.8B. Between 2019 and 2020 the exports of Man-made filaments decreased by -17.7%, from $49.6B to $40.8B. Trade in Man-made filaments represent 0.24% of total world trade.

Man-made filaments are a part of Textiles. They include Man-made filaments.

Exports In 2020 the top exporters of Man-made filaments  were China ($16.9B), Chinese Taipei ($2.15B), South Korea ($2.05B), India ($1.74B), and Japan ($1.74B).

Imports In 2020 the top importers of Man-made filaments were Vietnam ($3.17B), China ($2.02B), United States ($1.94B), Turkey ($1.84B), and Germany ($1.3B).

Tariffs In 2018 the average tariff for Man-made filaments was 9.81%, making it the 48th lowest tariff using the HS2 product classification.

Ranking Man-made filaments ranks 17th in the Product Complexity Index (PCI).

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Y-AXIS SCALE

The following visualization shows the latest trends on Man-made filaments. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

* Using January 2020 exchange rates when trade data is reported in local currency.

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Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2020): China, $16.9B

Top Destination (2020): Vietnam, $3.17B

Man-made filaments are the world's 59th most traded product.

In 2020, the top exporters of Man-made filaments were China ($16.9B), Chinese Taipei ($2.15B), South Korea ($2.05B), India ($1.74B), and Japan ($1.74B).

In 2020, the top importers of Man-made filaments were Vietnam ($3.17B), China ($2.02B), United States ($1.94B), Turkey ($1.84B), and Germany ($1.3B).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2019 -  2020): Dominican Republic, $14M

Top Destination Growth (2019 - 2020): Nigeria, $304M

Between 2019 and 2020, the exports of Man-made filaments grew the fastest in Dominican Republic ($14M), Argentina ($12.9M), Saudi Arabia ($11.1M), Turkmenistan ($5.62M), and Sri Lanka ($4.87M).

Between 2019 and 2020, the fastest growing importers of Man-made filaments were Nigeria ($304M), Malaysia ($119M), Uzbekistan ($40.9M), Ghana ($23.1M), and Kazakhstan ($18M).

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Market Concentration

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Cumulative market share

Value

This chart shows the evolution of the market concentration of exports of Man-made filaments.

In 2020,  market concentration measured using Shannon Entropy, was 3.82. This means that most of the exports of Man-made filaments are explained by 14 countries.

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TOP NET EXPORTER (2020): China, $14.9B

TOP NET IMPORTER (2020): Vietnam, $2.12B

This map shows which countries export or import more of Man-made filaments. Each country is colored based on the difference in exports and imports of Man-made filaments during 2020.

In 2020, the countries that had a largest trade value in exports than in imports of Man-made filaments were China ($14.9B), Chinese Taipei ($1.84B), South Korea ($1.17B), Japan ($1.04B), and India ($920M).

In 2020, the countries that had a largest trade value in imports than in exports of Man-made filaments were Vietnam ($2.12B), Bangladesh ($1.21B), Brazil ($950M), Pakistan ($827M), and Mexico ($694M).

Disaggregation

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Value
Disaggregation

In 2020, the world most traded Man-made filaments, disaggragated by their HS6 level were Man-made filaments ($40.8B)

Country Comparison

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This visualization shows the countries that have an important ratio of their trade related to Man-made filaments.
It is possible to select the main countries that export or import Man-made filaments in the world, or by continent, as well as select the measure of interest.

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.