HS Icon Precipitated Copper

7401 (Harmonized System 1992 for 4-digit)

Overview This page contains the latest trade data of Precipitated Copper. In 2019, Precipitated Copper were the world's 894th most traded product, with a total trade of $1.06B. Between 2018 and 2019 the exports of Precipitated Copper decreased by -10.4%, from $1.18B to $1.06B. Trade in Precipitated Copper represent 0.0059% of total world trade.

Exports In 2019 the top exporters of Precipitated Copper  were Canada ($164M), Finland ($162M), Mexico ($132M), Russia ($121M), and Belgium ($80.4M).

Imports In 2019 the top importers of Precipitated Copper were Russia ($141M), China ($132M), South Korea ($130M), Germany ($97.2M), and Norway ($90.8M).

Tariffs In 2018 the average tariff for Precipitated Copper was 1.9%, making it the 1243rd lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Precipitated Copper are Bahamas (40.2%), Bermuda (25%), Panama (15%), Zambia (13.6%), and Algeria (12.2%). The countries with the lowest tariffs are Angola (0%), Kenya (0%), Mauritius (0%), Rwanda (0%), and Tanzania (0%).

Ranking Precipitated Copper ranks 803rd in the Product Complexity Index (PCI).

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): Canada, $164M

Top Destination (2019): Russia, $141M

Precipitated Copper are the world's 894th most traded product.

In 2019, the top exporters of Precipitated Copper were Canada ($164M), Finland ($162M), Mexico ($132M), Russia ($121M), and Belgium ($80.4M).

In 2019, the top importers of Precipitated Copper were Russia ($141M), China ($132M), South Korea ($130M), Germany ($97.2M), and Norway ($90.8M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): Finland, $53.3M

Top Destination Growth (2018 - 2019): Russia, $37.1M

Between 2018 and 2019, the exports of Precipitated Copper grew the fastest in Finland ($53.3M), Belgium ($41.9M), Cambodia ($25.9M), Mexico ($25.4M), and Singapore ($22M).

Between 2018 and 2019, the fastest growing importers of Precipitated Copper were Russia ($37.1M), Germany ($37.1M), Finland ($24.9M), Uzbekistan ($22.5M), and Switzerland ($18.3M).

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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 Precipitated Copper.

In 2019,  market concentration measured using Shannon Entropy, was 4.08. This means that most of the exports of Precipitated Copper are explained by 16 countries.

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TOP NET EXPORTER (2019): Finland, $130M

TOP NET IMPORTER (2019): China, $132M

This map shows which countries export or import more of Precipitated Copper. Each country is colored based on the difference in exports and imports of Precipitated Copper during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Precipitated Copper were Finland ($130M), Mexico ($127M), Canada ($87.4M), Brazil ($38.4M), and Philippines ($38M).

In 2019, the countries that had a largest trade value in imports than in exports of Precipitated Copper were China ($132M), South Korea ($111M), Norway ($80.1M), Switzerland ($74.7M), and Germany ($70.3M).

Disaggregation

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Value

In 2019, the world most traded Precipitated Copper, disaggragated by their HS6 level were Copper mattes ($1.06B)

Import Tariffs

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In 2018, the average tariff for importing Precipitated Copper was 1.9%. The countries with the highest tariffs for importing Precipitated Copper were Bahamas (40.2%), Bermuda (25%), Panama (15%), Zambia (13.6%), and Algeria (12.2%).

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 Precipitated Copper to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.