HS Icon Knit Sweaters

6110 (Harmonized System 1992 for 4-digit)

World Trade (2018): $58B, Rnk 54 / 1225

Top Exporter (2018): $19.1B, China

Top Importer (2018): $14B, United States

Product Complexity (2018): -1.43, Rnk 926 / 1018

Export Growth (CAGR)(2017 - 2018): 11.2%, Rnk 709 / 1225

Mean Tariff (2018): 23.5%, Rnk 66 / 1259

Share of World Trade (2018): 0.32%, Rnk 54 / 1225

Overview:  This page contains the latest trade data of Knit Sweaters. In 2018, Knit Sweaters were the world's 54th most traded product, with a total trade of $58B. Between 2017 and 2018 the exports of Knit Sweaters grew by 11.2%, from  $52.2B to $58B. Trade in Knit Sweaters represent 0.32% of total world trade.

Exports: In 2018 the top exporters of Knit Sweaters  were China ($19.1B), Bangladesh ($5.45B), Vietnam ($4.11B), Italy ($3.15B), and Germany ($2.56B).

Imports: In 2018 the top importers of Knit Sweaters were United States ($14B), Germany ($5.82B), Japan ($4.27B), France ($3.5B), and United Kingdom ($3.3B).

Tariffs: In 2018 the average tariff for Knit Sweaters was 23.5%, been the 66 lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Knit Sweaters are Iran (100%), Syria (73.5%), South Africa (40.8%), Bolivia (38.3%), 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 Sweaters ranks 926th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): China, $19.1B

Top Destination (2018): United States, $14B

Knit Sweaters are the world's 54th most traded product.

In 2018, the top exporters of Knit Sweaters were China ($19.1B), Bangladesh ($5.45B), Vietnam ($4.11B), Italy ($3.15B), and Germany ($2.56B).

In 2018, the top importers of Knit Sweaters were United States ($14B), Germany ($5.82B), Japan ($4.27B), France ($3.5B), and United Kingdom ($3.3B).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Germany, $896M

Top Destination Growth (2017 - 2018): Germany, $799M

Between 2017 and 2018, the exports of Knit Sweaters grew the fastest in Germany ($896M), Bangladesh ($794M), Italy ($680M), Vietnam ($570M), and Spain ($557M).

Between 2017 and 2018, the fastest growing importers of Knit Sweaters were Germany ($799M), France ($535M), Italy ($483M), Spain ($404M), and Netherlands ($347M).

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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 Sweaters.

In 2018,  market concentration measured using Shannon Entropy, was 4.17. This means that most of the exports of Knit Sweaters are explained by 18 countries.

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TOP NET EXPORTER (2018): China, $18.4B

TOP NET IMPORTER (2018): United States, $13.6B

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

In 2018, the countries that had a largest trade value in exports than in imports of Knit Sweaters were China ($18.4B), Bangladesh ($5.44B), Vietnam ($3.78B), Cambodia ($2.39B), and Turkey ($1.88B).

In 2018, the countries that had a largest trade value in imports than in exports of Knit Sweaters were United States ($13.6B), Japan ($4.2B), Germany ($3.26B), United Kingdom ($2.46B), and France ($2.21B).

Trade Forecasts

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This section shows forecasts for total trade for Knit Sweaters. 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 Sweaters was 23.5%.  The countries with the highest tariffs for importing Knit Sweaters were Iran (100%), Syria (73.5%), South Africa (40.8%), Bolivia (38.3%), 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.