HS Icon Synthetic Filament Tow

5501 (Harmonized System 1992 for 4-digit)

World Trade (2018): $1.4B, Rnk 832 / 1225

Top Exporter (2018): $301M, Japan

Top Importer (2018): $151M, China

Product Complexity (2018): 0.31, Rnk 437 / 1018

Export Growth (CAGR)(2017 - 2018): 16%, Rnk 470 / 1225

Mean Tariff (2018): 4.12%, Rnk 967 / 1259

Share of World Trade (2018): 0.0076%, Rnk 832 / 1225

Overview:  This page contains the latest trade data of Synthetic Filament Tow. In 2018, Synthetic Filament Tow were the world's 832nd most traded product, with a total trade of $1.4B. Between 2017 and 2018 the exports of Synthetic Filament Tow grew by 16%, from  $1.2B to $1.4B. Trade in Synthetic Filament Tow represent 0.0076% of total world trade.

Exports: In 2018 the top exporters of Synthetic Filament Tow  were Japan ($301M), Germany ($179M), South Korea ($118M), Thailand ($104M), and Portugal ($84.5M).

Imports: In 2018 the top importers of Synthetic Filament Tow were China ($151M), Indonesia ($121M), United States ($109M), Turkey ($106M), and Nigeria ($66.1M).

Tariffs: In 2018 the average tariff for Synthetic Filament Tow was 4.12%, been the 967 lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Synthetic Filament Tow are Bahamas (40.2%), Paraguay (15.4%), Argentina (15.4%), Venezuela (15.4%), and Brazil (15.3%). The countries with the lowest tariffs are Angola (0%), Egypt (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).

Ranking: Synthetic Filament Tow ranks 437th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): Japan, $301M

Top Destination (2018): China, $151M

Synthetic Filament Tow are the world's 832nd most traded product.

In 2018, the top exporters of Synthetic Filament Tow were Japan ($301M), Germany ($179M), South Korea ($118M), Thailand ($104M), and Portugal ($84.5M).

In 2018, the top importers of Synthetic Filament Tow were China ($151M), Indonesia ($121M), United States ($109M), Turkey ($106M), and Nigeria ($66.1M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Japan, $51M

Top Destination Growth (2017 - 2018): China, $33.5M

Between 2017 and 2018, the exports of Synthetic Filament Tow grew the fastest in Japan ($51M), Brazil ($25.3M), Malaysia ($22M), Germany ($18.8M), and South Korea ($17.4M).

Between 2017 and 2018, the fastest growing importers of Synthetic Filament Tow were China ($33.5M), Netherlands ($27.5M), Japan ($23.9M), India ($20.3M), and Nigeria ($15.3M).

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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 Synthetic Filament Tow.

In 2018,  market concentration measured using Shannon Entropy, was 4.03. This means that most of the exports of Synthetic Filament Tow are explained by 16 countries.

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TOP NET EXPORTER (2018): Japan, $238M

TOP NET IMPORTER (2018): Indonesia, $120M

This map shows which countries export or import more of Synthetic Filament Tow. Each country is colored based on the difference in exports and imports of Synthetic Filament Tow during 2018.

In 2018, the countries that had a largest trade value in exports than in imports of Synthetic Filament Tow were Japan ($238M), Germany ($155M), South Korea ($115M), Thailand ($96M), and Portugal ($78.9M).

In 2018, the countries that had a largest trade value in imports than in exports of Synthetic Filament Tow were Indonesia ($120M), China ($82.2M), Nigeria ($66.1M), Netherlands ($50.6M), and United States ($48.1M).

Trade Forecasts

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This section shows forecasts for total trade for Synthetic Filament Tow. The forecast is based in a long short-term memory model or LSTM constructed using yearly trade data.

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Import Tariffs

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In 2018, the average tariff for importing Synthetic Filament Tow was 4.12%.  The countries with the highest tariffs for importing Synthetic Filament Tow were Bahamas (40.2%), Paraguay (15.4%), Argentina (15.4%), Venezuela (15.4%), and Brazil (15.3%).

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Product Complexity

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Diversification Frontier

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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.