Womens, girls ensembles, of wool or hair, knit

610421 (Harmonized System 1992 for 6-digit)

About

Overview This page contains the latest trade data of Womens, girls ensembles, of wool or hair, knitted. In 2016, Womens, girls ensembles, of wool or hair, knitted were the world's 4769th most traded product, with a total trade of $132k. Between 2015 and 2016 the exports of Womens, girls ensembles, of wool or hair, knitted decreased by -99.1%, from $15.2M to $132k. Trade in Womens, girls ensembles, of wool or hair, knitted represent 8.5e-7% of total world trade.

Womens, girls ensembles, of wool or hair, knitted are a part of Knit Women's Suits.

Exports In 2016 the top exporters of Womens, girls ensembles, of wool or hair, knitted  were Philippines ($129k), China ($2.74k), and Bangladesh ($1.07k).

Imports In 2016 the top importers of Womens, girls ensembles, of wool or hair, knitted were United States ($108k), Germany ($15.3k), Japan ($5.53k), and Philippines ($3.81k).

Ranking Womens, girls ensembles, of wool or hair, knitted ranks 3225th in the Product Complexity Index (PCI).

Latest Data

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The following visualization shows the latest trends on Womens, girls ensembles, of wool or hair, knitted. 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)Philippines$129k
Top Destination (2016)United States$108k

In 2016 Womens, girls ensembles, of wool or hair, knitted were the world's 4769th most traded product (out of 4,869).

In 2016, the top exporters of Womens, girls ensembles, of wool or hair, knitted were Philippines ($129k), China ($2.74k), and Bangladesh ($1.07k).

In 2016, the top importers of Womens, girls ensembles, of wool or hair, knitted were United States ($108k), Germany ($15.3k), Japan ($5.53k), and Philippines ($3.81k).

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Exporters of Womens, girls ensembles, of wool or hair, knitted (2016)
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Importers of Womens, girls ensembles, of wool or hair, knitted (2016)
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Market Dynamics

Color

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Exporters of Womens, girls ensembles, of wool or hair, knitted (2015 - 2016)

Importers of Womens, girls ensembles, of wool or hair, knitted (2015 - 2016)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Womens, girls ensembles, of wool or hair, knitted.

In 2016, market concentration measured using Shannon Entropy, was 0.21. This means that most of the exports of Womens, girls ensembles, of wool or hair, knitted are explained by 1 countries.

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Value of Exports in Womens, girls ensembles, of wool or hair, knitted

Net Trade

TOP NET EXPORTER (2016)Philippines$125k
TOP NET IMPORTER (2016)Bangladesh$1.07k

This map shows which countries export or import more of Womens, girls ensembles, of wool or hair, knitted. Each country is colored based on the difference in exports and imports of Womens, girls ensembles, of wool or hair, knitted during 2016.

In 2016, the countries that had a largest trade value in exports than in imports of Womens, girls ensembles, of wool or hair, knitted were Philippines ($125k), China ($2.74k), and Bangladesh ($1.07k).

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 Womens, girls ensembles, of wool or hair, knitted.
It is possible to select the main countries that export or import Womens, girls ensembles, of wool or hair, knitted in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Womens, girls ensembles, of wool or hair, knitted 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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