Artificial Filament Tow5502 (Harmonized System 1992 for 4-digit)
World Trade (2018): $2.12B, Rnk 723 / 1225
Top Exporter (2018): $653M, United States
Top Importer (2018): $209M, Indonesia
Product Complexity (2018): 1.24, Rnk 94 / 1018
Export Growth (CAGR)(2017 - 2018): -1.4%, Rnk 1111 / 1225
Mean Tariff (2018): 4.43%, Rnk 922 / 1259
Share of World Trade (2018): 0.012%, Rnk 723 / 1225
Overview: This page contains the latest trade data of Artificial Filament Tow. In 2018, Artificial Filament Tow were the world's 723rd most traded product, with a total trade of $2.12B. Between 2017 and 2018 the exports of Artificial Filament Tow decreased by -1.4%, from $2.15B to $2.12B. Trade in Artificial Filament Tow represent 0.012% of total world trade.
Exports: In 2018 the top exporters of Artificial Filament Tow were United States ($653M), Japan ($490M), Germany ($260M), Belgium-Luxembourg ($199M), and China ($104M).
Imports: In 2018 the top importers of Artificial Filament Tow were Indonesia ($209M), Netherlands ($163M), Nigeria ($134M), Poland ($120M), and Germany ($110M).
Tariffs: In 2018 the average tariff for Artificial Filament Tow was 4.43%, been the 922 lowest tariff using the HS4 product classification.
The countries with the highest import tariffs for Artificial Filament Tow are Bahamas (40.2%), Bangladesh (24.5%), Cuba (14.6%), Maldives (14.6%), and Romania (12.9%). The countries with the lowest tariffs are Angola (0%), Egypt (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).
Ranking: Artificial Filament Tow ranks 94th in the Product Complexity Index (PCI).
Trade By Country
Top Origin (2018): United States, $653M
Top Destination (2018): Indonesia, $209M
Artificial Filament Tow are the world's 723rd most traded product.
In 2018, the top exporters of Artificial Filament Tow were United States ($653M), Japan ($490M), Germany ($260M), Belgium-Luxembourg ($199M), and China ($104M).
In 2018, the top importers of Artificial Filament Tow were Indonesia ($209M), Netherlands ($163M), Nigeria ($134M), Poland ($120M), and Germany ($110M).
Trade by country
Top Origin Growth (2017 - 2018): Germany, $42.9M
Top Destination Growth (2017 - 2018): United Arab Emirates, $57.4M
Between 2017 and 2018, the exports of Artificial Filament Tow grew the fastest in Germany ($42.9M), Austria ($16.2M), Malaysia ($13.5M), South Korea ($13.1M), and United Arab Emirates ($9.31M).
Between 2017 and 2018, the fastest growing importers of Artificial Filament Tow were United Arab Emirates ($57.4M), Nigeria ($21.4M), Pakistan ($19.5M), India ($16M), and Italy ($15.1M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Artificial Filament Tow.
In 2018, market concentration measured using Shannon Entropy, was 3.04. This means that most of the exports of Artificial Filament Tow are explained by 8 countries.
TOP NET EXPORTER (2018): United States, $650M
TOP NET IMPORTER (2018): Indonesia, $208M
This map shows which countries export or import more of Artificial Filament Tow. Each country is colored based on the difference in exports and imports of Artificial Filament Tow during 2018.
In 2018, the countries that had a largest trade value in exports than in imports of Artificial Filament Tow were United States ($650M), Japan ($489M), Germany ($150M), Belgium-Luxembourg ($135M), and China ($52.6M).
In 2018, the countries that had a largest trade value in imports than in exports of Artificial Filament Tow were Indonesia ($208M), Poland ($119M), Turkey ($97.6M), Netherlands ($86.6M), and United Arab Emirates ($81.5M).
In 2018, the average tariff for importing Artificial Filament Tow was 4.43%. The countries with the highest tariffs for importing Artificial Filament Tow were Bahamas (40.2%), Bangladesh (24.5%), Cuba (14.6%), Maldives (14.6%), and Romania (12.9%).
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.
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