Machines to agglomerate, shape, mould minerals or fue847480 (Harmonized System 1992 for 6-digit)
World Trade (2018): $2.34B, Rnk 1197 / 4726
Top Exporter (2018): $567M, Italy
Top Importer (2018): $311M, China
Product Complexity (2018): 0.12, Rnk 1402 / 2722
Export Growth (CAGR)(2017 - 2018): 13.2%, Rnk 2172 / 4726
Mean Tariff (2018): 4%, Rnk 4968 / 6538
Share of World Trade (2018): 0.013%, Rnk 1197 / 4726
Overview: This page contains the latest trade data of Machines to agglomerate, shape, mould minerals or fue. In 2018, Machines to agglomerate, shape, mould minerals or fue were the world's 1197th most traded product, with a total trade of $2.34B. Between 2017 and 2018 the exports of Machines to agglomerate, shape, mould minerals or fue grew by 13.2%, from $2.07B to $2.34B. Trade in Machines to agglomerate, shape, mould minerals or fue represent 0.013% of total world trade.
Exports: In 2018 the top exporters of Machines to agglomerate, shape, mould minerals or fue were Italy ($567M), Germany ($415M), China ($409M), Spain ($101M), and Turkey ($77.8M).
Imports: In 2018 the top importers of Machines to agglomerate, shape, mould minerals or fue were China ($311M), United States ($139M), India ($127M), Algeria ($122M), and Uzbekistan ($75.7M).
Tariffs: In 2018 the average tariff for Machines to agglomerate, shape, mould minerals or fue was 4%, been the 4968 lowest tariff using the HS6 product classification.
The countries with the highest import tariffs for Machines to agglomerate, shape, mould minerals or fue are Bahamas (40.2%), Bermuda (25%), Maldives (19.6%), Cambodia (15%), and Venezuela (13.4%). The countries with the lowest tariffs are Angola (0%), Kenya (0%), Mauritius (0%), Rwanda (0%), and Tanzania (0%).
Ranking: Machines to agglomerate, shape, mould minerals or fue ranks 1402nd in the Product Complexity Index (PCI).
Trade By Country
Machines to agglomerate, shape, mould minerals or fue are the world's 1197th most traded product.
In 2018, the top exporters of Machines to agglomerate, shape, mould minerals or fue were Italy ($567M), Germany ($415M), China ($409M), Spain ($101M), and Turkey ($77.8M).
In 2018, the top importers of Machines to agglomerate, shape, mould minerals or fue were China ($311M), United States ($139M), India ($127M), Algeria ($122M), and Uzbekistan ($75.7M).
Trade by country
Between 2017 and 2018, the exports of Machines to agglomerate, shape, mould minerals or fue grew the fastest in Italy ($152M), Spain ($22.2M), Denmark ($22M), Turkey ($18.9M), and Austria ($18.1M).
Between 2017 and 2018, the fastest growing importers of Machines to agglomerate, shape, mould minerals or fue were China ($120M), Uzbekistan ($56.7M), Poland ($47.8M), India ($34.9M), and United States ($25.7M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Machines to agglomerate, shape, mould minerals or fue.
In 2018, market concentration measured using Shannon Entropy, was 3.84. This means that most of the exports of Machines to agglomerate, shape, mould minerals or fue are explained by 14 countries.
This map shows which countries export or import more of Machines to agglomerate, shape, mould minerals or fue. Each country is colored based on the difference in exports and imports of Machines to agglomerate, shape, mould minerals or fue during 2018.
In 2018, the countries that had a largest trade value in exports than in imports of Machines to agglomerate, shape, mould minerals or fue were Italy ($547M), Germany ($363M), China ($98.2M), Denmark ($64M), and Austria ($62.5M).
In 2018, the countries that had a largest trade value in imports than in exports of Machines to agglomerate, shape, mould minerals or fue were Algeria ($122M), India ($96.3M), United States ($95.6M), Vietnam ($67.3M), and Mexico ($64.2M).
In 2018, the average tariff for importing Machines to agglomerate, shape, mould minerals or fue was 4%. The countries with the highest tariffs for importing Machines to agglomerate, shape, mould minerals or fue were Bahamas (40.2%), Bermuda (25%), Maldives (19.6%), Cambodia (15%), and Venezuela (13.4%).
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.
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