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551333 (Harmonized System 1992 for 6-digit)

2018
World Trade $963Rnk 4762 / 4807
2018
Top Exporter | Top Importer $947 | $963China | Barbados
2018
Product Complexity 0.48Rnk 1722 / 4886
2017 - 2018
Export Growth (CAGR) -64.8%Rnk 4735 / 4807
2018
Share of World Trade <0.01%Rnk 4762 / 4807

About

Overview This page contains the latest trade data of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed. In 2018, Woven nes >85% polyester + cotton, <170g/m2 yarn dyed were the world's 4762nd most traded product, with a total trade of $963. Between 2017 and 2018 the exports of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed decreased by -64.8%, from $2.74k to $963. Trade in Woven nes >85% polyester + cotton, <170g/m2 yarn dyed represent 5.1e-9% of total world trade.

Woven nes >85% polyester + cotton, <170g/m2 yarn dyed are a part of Light Synthetic Cotton Fabrics.

Exports In 2018 the top exporters of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed  were China ($947) and United States ($16).

Imports In 2018 the top importers of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed were Barbados ($963).

Ranking Woven nes >85% polyester + cotton, <170g/m2 yarn dyed ranks 1722nd in the Product Complexity Index (PCI).

Latest Trends

Latest Data

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The following visualization shows the latest trends on Woven nes >85% polyester + cotton, <170g/m2 yarn dyed. 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 (2018)China$947
Top Destination (2018)Barbados$963

In 2018 Woven nes >85% polyester + cotton, <170g/m2 yarn dyed were the world's 4762nd most traded product (out of 4,807).

In 2018, the top exporters of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed were China ($947) and United States ($16).

In 2018, the top importers of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed were Barbados ($963).

Explore Visualizations

Exporters of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed (2018)
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Importers of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed (2018)
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Market Dynamics

Color

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Exporters of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed (2017 - 2018)

Importers of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed (2017 - 2018)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed.

In 2018, market concentration measured using Shannon Entropy, was 0.12. This means that most of the exports of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed are explained by 1 countries.

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Value of Exports in Woven nes >85% polyester + cotton, <170g/m2 yarn dyed

Net Trade

This map shows which countries export or import more of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed. Each country is colored based on the difference in exports and imports of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed during 2018.

Net Trade (2018)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Woven nes >85% polyester + cotton, <170g/m2 yarn dyed.
It is possible to select the main countries that export or import Woven nes >85% polyester + cotton, <170g/m2 yarn dyed in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Woven nes >85% polyester + cotton, <170g/m2 yarn dyed 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 (2018)

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