540233 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Textured yarn nes, of polyester filaments, not retail. In 2022, Textured yarn nes, of polyester filaments, not retail were the world's 750th most traded product, with a total trade of $5.08B. Between 2021 and 2022 the exports of Textured yarn nes, of polyester filaments, not retail grew by 4.35%, from $4.87B to $5.08B. Trade in Textured yarn nes, of polyester filaments, not retail represent 0.021% of total world trade.

Textured yarn nes, of polyester filaments, not retail are a part of Non-Retail Synthetic Filament Yarn.

Exports In 2022 the top exporters of Textured yarn nes, of polyester filaments, not retail  were China ($2.68B), India ($688M), Chinese Taipei ($283M), Turkey ($156M), and Vietnam ($143M).

Imports In 2022 the top importers of Textured yarn nes, of polyester filaments, not retail were Turkey ($527M), Vietnam ($407M), Brazil ($396M), Pakistan ($327M), and Bangladesh ($244M).

Ranking Textured yarn nes, of polyester filaments, not retail ranks 3526th in the Product Complexity Index (PCI).

Description Textured yarn is often used to give fabric a softer feel. Polyester filaments are used in synthetically spun yarns to make fabrics that are lightweight and easy to care for.

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The following visualization shows the latest trends on Textured yarn nes, of polyester filaments, not retail. 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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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 (NaN)

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