Overview This page contains the latest trade data of Animal Hides. In 2020, Animal Hides were the world's 19th most traded product, with a total trade of $84.2B. Between 2019 and 2020 the exports of Animal Hides decreased by -20.1%, from $105B to $84.2B. Trade in Animal Hides represent 0.5% of total world trade.

Animal Hides include Trunks and Cases, Tanned Equine and Bovine Hides, Leather Apparel, Equine and Bovine Hides, Raw Furskins, Other Leather Articles, Furskin Apparel, Tanned Furskins, Tanned Sheep Hides, and Leather of Other Animals, among others.

Exports In 2020 the top exporters of Animal Hides  were China ($25.3B), Italy ($10.9B), France ($9.15B), Vietnam ($3.44B), and Germany ($2.92B).

Imports In 2020 the top importers of Animal Hides were United States ($10.6B), Japan ($5.48B), Germany ($5.29B), China ($5.11B), and Italy ($4.89B).

Ranking Animal Hides ranks 13th in the Product Complexity Index (PCI).

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Y-AXIS SCALE

The following visualization shows the latest trends on Animal Hides. 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): China, $25.3B

Top Destination (2020): United States, $10.6B

Animal Hides are the world's 19th most traded product.

In 2020, the top exporters of Animal Hides were China ($25.3B), Italy ($10.9B), France ($9.15B), Vietnam ($3.44B), and Germany ($2.92B).

In 2020, the top importers of Animal Hides were United States ($10.6B), Japan ($5.48B), Germany ($5.29B), China ($5.11B), and Italy ($4.89B).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2019 -  2020): Burma, $102M

Top Destination Growth (2019 - 2020): Nigeria, $131M

Between 2019 and 2020, the exports of Animal Hides grew the fastest in Burma ($102M), Tanzania ($25.9M), Macau ($14.2M), Madagascar ($8.82M), and Guam ($7.13M).

Between 2019 and 2020, the fastest growing importers of Animal Hides were Nigeria ($131M), Ghana ($40M), Togo ($17.2M), Kazakhstan ($13.9M), and Cameroon ($10.7M).

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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 Animal Hides.

In 2020,  market concentration measured using Shannon Entropy, was 4.23. This means that most of the exports of Animal Hides are explained by 18 countries.

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TOP NET EXPORTER (2020): China, $20.2B

TOP NET IMPORTER (2020): United States, $7.99B

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

In 2020, the countries that had a largest trade value in exports than in imports of Animal Hides were China ($20.2B), Italy ($6.05B), France ($4.97B), India ($1.76B), and Vietnam ($1.62B).

In 2020, the countries that had a largest trade value in imports than in exports of Animal Hides were United States ($7.99B), Japan ($5.22B), Hong Kong ($3.58B), Germany ($2.36B), and South Korea ($2.33B).

Disaggregation

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Value
Disaggregation

In 2020, the world most traded Animal Hides, disaggragated by their HS6 level were Trunks and Cases ($55.5B), Tanned Equine and Bovine Hides ($11.6B), Leather Apparel ($6.15B), Other Leather Articles ($2.4B), and Saddlery ($1.92B)

Country Comparison

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Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Animal Hides.
It is possible to select the main countries that export or import Animal Hides 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.