HS Icon Ferro-silico-manganese

720230 (Harmonized System 1992 for 6-digit)

World Trade (2018): $4.05B, Rnk 779 / 4726

Top Exporter (2018): $808M, India

Top Importer (2018): $520M, United States

Product Complexity (2018): -1.01, Rnk 4024 / 4873

Export Growth (CAGR)(2017 - 2018): 7.87%, Rnk 2972 / 4726

Mean Tariff (2018): 4.34%, Rnk 4667 / 6538

Share of World Trade (2018): 0.022%, Rnk 779 / 4726

Overview:  This page contains the latest trade data of Ferro-silico-manganese. In 2018, Ferro-silico-manganese were the world's 779th most traded product, with a total trade of $4.05B. Between 2017 and 2018 the exports of Ferro-silico-manganese grew by 7.87%, from  $3.76B to $4.05B. Trade in Ferro-silico-manganese represent 0.022% of total world trade.

Exports: In 2018 the top exporters of Ferro-silico-manganese  were India ($808M), Ukraine ($784M), Norway ($413M), Georgia ($345M), and Malaysia ($325M).

Imports: In 2018 the top importers of Ferro-silico-manganese were United States ($520M), Japan ($312M), Germany ($294M), Netherlands ($238M), and Turkey ($231M).

Tariffs: In 2018 the average tariff for Ferro-silico-manganese was 4.34%, been the 4667 lowest tariff using the HS6 product classification.

The countries with the highest import tariffs for Ferro-silico-manganese are Bahamas (40.2%), Iran (25%), Bermuda (25%), Panama (15%), and Aruba (12%). The countries with the lowest tariffs are Angola (0%), Egypt (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).

Ranking: Ferro-silico-manganese ranks 4024th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): India, $808M

Top Destination (2018): United States, $520M

Ferro-silico-manganese are the world's 779th most traded product.

In 2018, the top exporters of Ferro-silico-manganese were India ($808M), Ukraine ($784M), Norway ($413M), Georgia ($345M), and Malaysia ($325M).

In 2018, the top importers of Ferro-silico-manganese were United States ($520M), Japan ($312M), Germany ($294M), Netherlands ($238M), and Turkey ($231M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Malaysia, $113M

Top Destination Growth (2017 - 2018): United States, $95.6M

Between 2017 and 2018, the exports of Ferro-silico-manganese grew the fastest in Malaysia ($113M), Georgia ($35M), Spain ($30.7M), Norway ($26.6M), and Kazakhstan ($24.9M).

Between 2017 and 2018, the fastest growing importers of Ferro-silico-manganese were United States ($95.6M), Russia ($31.7M), South Korea ($28.3M), China ($28.2M), and Japan ($26.3M).

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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 Ferro-silico-manganese.

In 2018,  market concentration measured using Shannon Entropy, was 3.87. This means that most of the exports of Ferro-silico-manganese are explained by 14 countries.

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TOP NET EXPORTER (2018): India, $805M

TOP NET IMPORTER (2018): United States, $504M

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

In 2018, the countries that had a largest trade value in exports than in imports of Ferro-silico-manganese were India ($805M), Ukraine ($721M), Norway ($411M), Georgia ($345M), and Malaysia ($276M).

In 2018, the countries that had a largest trade value in imports than in exports of Ferro-silico-manganese were United States ($504M), Japan ($312M), Germany ($271M), Turkey ($226M), and Italy ($163M).

Trade Forecasts

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This section shows forecasts for total trade for Ferro-silico-manganese. 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 Ferro-silico-manganese was 4.34%.  The countries with the highest tariffs for importing Ferro-silico-manganese were Bahamas (40.2%), Iran (25%), Bermuda (25%), Panama (15%), and Aruba (12%).

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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.