600241 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Warp knit fabric of wool or fine animal hair, nes. In 2016, Warp knit fabric of wool or fine animal hair, nes were the world's 4752nd most traded product, with a total trade of $187k. Between 2015 and 2016 the exports of Warp knit fabric of wool or fine animal hair, nes grew by 315%, from $45.1k to $187k. Trade in Warp knit fabric of wool or fine animal hair, nes represent 0.0000012% of total world trade.

Warp knit fabric of wool or fine animal hair, nes are a part of Light Rubberized Knitted Fabric.

Exports In 2016 the top exporters of Warp knit fabric of wool or fine animal hair, nes  were China ($151k), Hong Kong ($14.5k), Thailand ($9.73k), Japan ($5.01k), and Indonesia ($3.76k).

Imports In 2016 the top importers of Warp knit fabric of wool or fine animal hair, nes were Philippines ($187k).

Ranking Warp knit fabric of wool or fine animal hair, nes ranks 2207th in the Product Complexity Index (PCI).

Latest Data

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The following visualization shows the latest trends on Warp knit fabric of wool or fine animal hair, nes. 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$151k
Top Destination (2016)Philippines$187k

In 2016 Warp knit fabric of wool or fine animal hair, nes were the world's 4752nd most traded product (out of 4,869).

In 2016, the top exporters of Warp knit fabric of wool or fine animal hair, nes were China ($151k), Hong Kong ($14.5k), Thailand ($9.73k), Japan ($5.01k), and Indonesia ($3.76k).

In 2016, the top importers of Warp knit fabric of wool or fine animal hair, nes were Philippines ($187k).

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Exporters of Warp knit fabric of wool or fine animal hair, nes (2016)
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Importers of Warp knit fabric of wool or fine animal hair, nes (2016)
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Market Dynamics

Color

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Exporters of Warp knit fabric of wool or fine animal hair, nes (2015 - 2016)

Importers of Warp knit fabric of wool or fine animal hair, nes (2015 - 2016)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Warp knit fabric of wool or fine animal hair, nes.

In 2016, market concentration measured using Shannon Entropy, was 1.15. This means that most of the exports of Warp knit fabric of wool or fine animal hair, nes are explained by 2 countries.

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Value of Exports in Warp knit fabric of wool or fine animal hair, nes

Net Trade

TOP NET EXPORTER (2016)China$151k
TOP NET IMPORTER (2016)Vietnam$845

This map shows which countries export or import more of Warp knit fabric of wool or fine animal hair, nes. Each country is colored based on the difference in exports and imports of Warp knit fabric of wool or fine animal hair, nes during 2016.

In 2016, the countries that had a largest trade value in exports than in imports of Warp knit fabric of wool or fine animal hair, nes were China ($151k), Hong Kong ($14.5k), Thailand ($9.73k), Japan ($5.01k), and Indonesia ($3.76k).

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 Warp knit fabric of wool or fine animal hair, nes.
It is possible to select the main countries that export or import Warp knit fabric of wool or fine animal hair, nes in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Warp knit fabric of wool or fine animal hair, nes 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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