Curtains drapes blinds valances, cotton, knit

630311 (Harmonized System 1992 for 6-digit)

About

Overview This page contains the latest trade data of Curtains drapes blinds valances of cotton, knit. In 2019, Curtains drapes blinds valances of cotton, knit were the world's 4636th most traded product, with a total trade of $33k. Between 2018 and 2019 the exports of Curtains drapes blinds valances of cotton, knit decreased by -87.6%, from $266k to $33k. Trade in Curtains drapes blinds valances of cotton, knit represent 1.8e-7% of total world trade.

Curtains drapes blinds valances of cotton, knit are a part of Window Dressings.

Exports In 2019 the top exporters of Curtains drapes blinds valances of cotton, knit  were China ($13.5k), Singapore ($9.81k), Indonesia ($4.71k), Hong Kong ($4k), and Australia ($978).

Imports In 2019 the top importers of Curtains drapes blinds valances of cotton, knit were Timor-Leste ($33k).

Ranking Curtains drapes blinds valances of cotton, knit ranks 1124th in the Product Complexity Index (PCI).

Latest Data

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The following visualization shows the latest trends on Curtains drapes blinds valances of cotton, knit. 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 (2019)China$13.5k
Top Destination (2019)Timor-Leste$33k

In 2019 Curtains drapes blinds valances of cotton, knit were the world's 4636th most traded product (out of 4,763).

In 2019, the top exporters of Curtains drapes blinds valances of cotton, knit were China ($13.5k), Singapore ($9.81k), Indonesia ($4.71k), Hong Kong ($4k), and Australia ($978).

In 2019, the top importers of Curtains drapes blinds valances of cotton, knit were Timor-Leste ($33k).

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Exporters of Curtains drapes blinds valances of cotton, knit (2019)
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Importers of Curtains drapes blinds valances of cotton, knit (2019)
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Market Dynamics

Color

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Exporters of Curtains drapes blinds valances of cotton, knit (2018 - 2019)

Importers of Curtains drapes blinds valances of cotton, knit (2018 - 2019)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Curtains drapes blinds valances of cotton, knit.

In 2019, market concentration measured using Shannon Entropy, was 1.98. This means that most of the exports of Curtains drapes blinds valances of cotton, knit are explained by 3 countries.

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Value of Exports in Curtains drapes blinds valances of cotton, knit

Net Trade

TOP NET EXPORTER (2019)China$13.5k
TOP NET IMPORTER (2019)United Kingdom$9

This map shows which countries export or import more of Curtains drapes blinds valances of cotton, knit. Each country is colored based on the difference in exports and imports of Curtains drapes blinds valances of cotton, knit during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Curtains drapes blinds valances of cotton, knit were China ($13.5k), Singapore ($9.81k), Indonesia ($4.71k), Hong Kong ($4k), and Australia ($978).

Net Trade (2019)

Country Comparison

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Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Curtains drapes blinds valances of cotton, knit.
It is possible to select the main countries that export or import Curtains drapes blinds valances of cotton, knit in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Curtains drapes blinds valances of cotton, knit 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 (2019)

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