731910 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Needles, sewing, darning or embroidery, iron or steel. In 2019, Needles, sewing, darning or embroidery, iron or steel were the world's 4670th most traded product, with a total trade of $2.58k. Between 2018 and 2019 the exports of Needles, sewing, darning or embroidery, iron or steel decreased by -81.6%, from $14k to $2.58k. Trade in Needles, sewing, darning or embroidery, iron or steel represent 1.4e-8% of total world trade.

Needles, sewing, darning or embroidery, iron or steel are a part of Iron Sewing Needles.

Exports In 2019 the top exporters of Needles, sewing, darning or embroidery, iron or steel  were China ($2.24k), Indonesia ($291), and Australia ($45).

Imports In 2019 the top importers of Needles, sewing, darning or embroidery, iron or steel were Timor-Leste ($2.58k).

Ranking Needles, sewing, darning or embroidery, iron or steel ranks 2549th in the Product Complexity Index (PCI).

Description -

Latest Data

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The following visualization shows the latest trends on Needles, sewing, darning or embroidery, iron or steel. 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$2.24k
Top Destination (2019)Timor-Leste$2.58k

In 2019 Needles, sewing, darning or embroidery, iron or steel were the world's 4670th most traded product (out of 4,763).

In 2019, the top exporters of Needles, sewing, darning or embroidery, iron or steel were China ($2.24k), Indonesia ($291), and Australia ($45).

In 2019, the top importers of Needles, sewing, darning or embroidery, iron or steel were Timor-Leste ($2.58k).

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Exporters of Needles, sewing, darning or embroidery, iron or steel (2019)
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Importers of Needles, sewing, darning or embroidery, iron or steel (2019)
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Market Dynamics

Color

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Exporters of Needles, sewing, darning or embroidery, iron or steel (2018 - 2019)

Importers of Needles, sewing, darning or embroidery, iron or steel (2018 - 2019)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Needles, sewing, darning or embroidery, iron or steel.

In 2019, market concentration measured using Shannon Entropy, was 0.63. This means that most of the exports of Needles, sewing, darning or embroidery, iron or steel are explained by 1 countries.

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Value of Exports in Needles, sewing, darning or embroidery, iron or steel

Net Trade

TOP NET EXPORTER (2019)China$2.24k
TOP NET IMPORTER (2019)Australia$45

This map shows which countries export or import more of Needles, sewing, darning or embroidery, iron or steel. Each country is colored based on the difference in exports and imports of Needles, sewing, darning or embroidery, iron or steel during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Needles, sewing, darning or embroidery, iron or steel were China ($2.24k), Indonesia ($291), and Australia ($45).

Net Trade (2019)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Needles, sewing, darning or embroidery, iron or steel.
It is possible to select the main countries that export or import Needles, sewing, darning or embroidery, iron or steel in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Needles, sewing, darning or embroidery, iron or steel 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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