HS Icon Knit Women's Coats

6102 (Harmonized System 1992 for 4-digit)

World Trade (2018): $4.04B, Rnk 565 / 1225

Top Exporter (2018): $997M, China

Top Importer (2018): $704M, United States

Product Complexity (2018): -1.27, Rnk 891 / 1018

Export Growth (CAGR)(2017 - 2018): 13%, Rnk 617 / 1225

Mean Tariff (2018): 23.7%, Rnk 62 / 1259

Share of World Trade (2018): 0.022%, Rnk 565 / 1225

Overview:  This page contains the latest trade data of Knit Women's Coats. In 2018, Knit Women's Coats were the world's 565th most traded product, with a total trade of $4.04B. Between 2017 and 2018 the exports of Knit Women's Coats grew by 13%, from  $3.58B to $4.04B. Trade in Knit Women's Coats represent 0.022% of total world trade.

Exports: In 2018 the top exporters of Knit Women's Coats  were China ($997M), Germany ($426M), Vietnam ($413M), Bangladesh ($284M), and Cambodia ($282M).

Imports: In 2018 the top importers of Knit Women's Coats were United States ($704M), Germany ($564M), France ($297M), Spain ($239M), and United Kingdom ($231M).

Tariffs: In 2018 the average tariff for Knit Women's Coats was 23.7%, been the 62 lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Knit Women's Coats are Iran (100%), Syria (73.5%), Bolivia (38.5%), South Africa (36.3%), and Sudan (35%). The countries with the lowest tariffs are Mauritius (0%), Hong Kong (0%), Sri Lanka (0%), Maldives (0%), and Singapore (0%).

Ranking: Knit Women's Coats ranks 891st in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): China, $997M

Top Destination (2018): United States, $704M

Knit Women's Coats are the world's 565th most traded product.

In 2018, the top exporters of Knit Women's Coats were China ($997M), Germany ($426M), Vietnam ($413M), Bangladesh ($284M), and Cambodia ($282M).

In 2018, the top importers of Knit Women's Coats were United States ($704M), Germany ($564M), France ($297M), Spain ($239M), and United Kingdom ($231M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Germany, $160M

Top Destination Growth (2017 - 2018): United States, $102M

Between 2017 and 2018, the exports of Knit Women's Coats grew the fastest in Germany ($160M), Spain ($56.4M), Bangladesh ($46.9M), Belgium-Luxembourg ($44.9M), and Cambodia ($37.2M).

Between 2017 and 2018, the fastest growing importers of Knit Women's Coats were United States ($102M), Germany ($102M), France ($46.5M), Poland ($41.3M), and Italy ($35.4M).

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Market Concentration

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Cumulative market share

This chart shows the evolution of the market concentration of exports of Knit Women's Coats.

In 2018,  market concentration measured using Shannon Entropy, was 4.32. This means that most of the exports of Knit Women's Coats are explained by 19 countries.

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TOP NET EXPORTER (2018): China, $946M

TOP NET IMPORTER (2018): United States, $678M

This map shows which countries export or import more of Knit Women's Coats. Each country is colored based on the difference in exports and imports of Knit Women's Coats during 2018.

In 2018, the countries that had a largest trade value in exports than in imports of Knit Women's Coats were China ($946M), Vietnam ($401M), Bangladesh ($284M), Cambodia ($282M), and Burma ($115M).

In 2018, the countries that had a largest trade value in imports than in exports of Knit Women's Coats were United States ($678M), France ($203M), Japan ($157M), United Kingdom ($152M), and Germany ($139M).

Trade Forecasts

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This section shows forecasts for total trade for Knit Women's Coats. The forecast is based in a long short-term memory model or LSTM constructed using yearly trade data.

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Import Tariffs

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In 2018, the average tariff for importing Knit Women's Coats was 23.7%.  The countries with the highest tariffs for importing Knit Women's Coats were Iran (100%), Syria (73.5%), Bolivia (38.5%), South Africa (36.3%), and Sudan (35%).

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Product Complexity

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Diversification Frontier

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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.