HS Icon Silicone

3910 (Harmonized System 1992 for 4-digit)

Overview This page contains the latest trade data of Silicone. In 2020, Silicone were the world's 408th most traded product, with a total trade of $6.6B. Between 2019 and 2020 the exports of Silicone decreased by -6.83%, from $7.08B to $6.6B. Trade in Silicone represent 0.039% of total world trade.

Silicone are a part of Plastics & articles thereof. They include Silicones, primary forms.

Exports In 2020 the top exporters of Silicone  were Germany ($1.55B), United States ($1.1B), China ($763M), Japan ($752M), and United Kingdom ($393M).

Imports In 2020 the top importers of Silicone were China ($826M), United States ($545M), South Korea ($407M), Germany ($326M), and Belgium ($315M).

Tariffs In 2018 the average tariff for Silicone was 3.84%, making it the 1042nd lowest tariff using the HS4 product classification.

Ranking Silicone ranks 20th in the Product Complexity Index (PCI).

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Silicone. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

* Using January 2020 exchange rates when trade data is reported in local currency.

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Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2020): Germany, $1.55B

Top Destination (2020): China, $826M

Silicone are the world's 408th most traded product.

In 2020, the top exporters of Silicone were Germany ($1.55B), United States ($1.1B), China ($763M), Japan ($752M), and United Kingdom ($393M).

In 2020, the top importers of Silicone were China ($826M), United States ($545M), South Korea ($407M), Germany ($326M), and Belgium ($315M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2019 -  2020): United Kingdom, $83.5M

Top Destination Growth (2019 - 2020): Belgium, $96.2M

Between 2019 and 2020, the exports of Silicone grew the fastest in United Kingdom ($83.5M), Belgium ($32.3M), Netherlands ($32.2M), Canada ($5.87M), and Vietnam ($3.07M).

Between 2019 and 2020, the fastest growing importers of Silicone were Belgium ($96.2M), China ($26M), Ireland ($16.7M), Chinese Taipei ($6.67M), and Lithuania ($6.48M).

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Market Concentration

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Cumulative market share

Value

This chart shows the evolution of the market concentration of exports of Silicone.

In 2020,  market concentration measured using Shannon Entropy, was 3.64. This means that most of the exports of Silicone are explained by 12 countries.

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TOP NET EXPORTER (2020): Germany, $1.22B

TOP NET IMPORTER (2020): Italy, $192M

This map shows which countries export or import more of Silicone. Each country is colored based on the difference in exports and imports of Silicone during 2020.

In 2020, the countries that had a largest trade value in exports than in imports of Silicone were Germany ($1.22B), Japan ($617M), United States ($560M), United Kingdom ($177M), and France ($88.2M).

In 2020, the countries that had a largest trade value in imports than in exports of Silicone were Italy ($192M), Mexico ($189M), Vietnam ($160M), South Korea ($153M), and India ($133M).

Disaggregation

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Value

In 2020, the world most traded Silicone, disaggragated by their HS6 level were Silicones, primary forms ($6.6B)

Country Comparison

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Flow
Measure
Ranking

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

Product Complexity

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Diversification Frontier

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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.

Country by Relatedness

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The following visualization shows the relatedness of Silicone to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.