521042 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye. In 2016, Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were the world's 4734th most traded product, with a total trade of $280k. Between 2015 and 2016 the exports of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye grew by 564%, from $42.1k to $280k. Trade in Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye represent 0.0000018% of total world trade.

Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye are a part of Light Mixed Woven Cotton.

Exports In 2016 the top exporters of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye  were China ($175k), Thailand ($74.7k), Germany ($29.7k), and France ($482).

Imports In 2016 the top importers of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were Philippines ($280k).

Ranking Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye ranks 2689th in the Product Complexity Index (PCI).

Latest Data

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The following visualization shows the latest trends on Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye. Countries are shown based on data availability.

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

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* Trade values are converted to USD using each month's exchange rate. For December 2023 data, the exchange rate from December 30, 2023 is used.

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Historical Data

Exporters and Importers

Top Origin (2016)China$175k
Top Destination (2016)Philippines$280k

In 2016 Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were the world's 4734th most traded product (out of 4,869).

In 2016, the top exporters of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were China ($175k), Thailand ($74.7k), Germany ($29.7k), and France ($482).

In 2016, the top importers of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were Philippines ($280k).

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Exporters of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye (2016)
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Importers of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye (2016)
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Market Dynamics

Color

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Exporters of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye (2015 - 2016)

Importers of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye (2015 - 2016)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye.

In 2016, market concentration measured using Shannon Entropy, was 1.29. This means that most of the exports of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye are explained by 2 countries.

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Value of Exports in Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye

Net Trade

TOP NET EXPORTER (2016)China$175k
TOP NET IMPORTER (2016)France$482

This map shows which countries export or import more of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye. Each country is colored based on the difference in exports and imports of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye during 2016.

In 2016, the countries that had a largest trade value in exports than in imports of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye were China ($175k), Thailand ($74.7k), Germany ($29.7k), and France ($482).

Net Trade (2016)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye.
It is possible to select the main countries that export or import Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Twill cotton , <85% +manmade fibre, <200g/m2 yarn dye by percentage of total exports

Product Complexity

Diversification Frontier

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.

Relatedness vs Country Complexity (2016)

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