Overview This page contains the latest trade data of Pearls. In 2019, Pearls were the world's 930th most traded product, with a total trade of $903M. Between 2018 and 2019 the exports of Pearls decreased by -25.6%, from $1.22B to $903M. Trade in Pearls represent 0.005% of total world trade.

Exports In 2019 the top exporters of Pearls  were Japan ($287M), Australia ($146M), Indonesia ($109M), French Polynesia ($88.9M), and China ($62.2M).

Imports In 2019 the top importers of Pearls were Hong Kong ($366M), Japan ($286M), United States ($71.6M), Australia ($29.9M), and India ($25.9M).

Tariffs In 2018 the average tariff for Pearls was 7.79%, making it the 558th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Pearls are Cook Islands (57.4%), Angola (50%), Barbados (45.1%), and Belize (44.2%). The countries with the lowest tariffs are Mauritius (0%), South Africa (0%), Hong Kong (0%), Japan (0%), and Lebanon (0%).

Ranking Pearls ranks 678th in the Product Complexity Index (PCI).

Description Pearls are a type of gemstone that is formed from the nacre, or mother-of-pearl. Pearls can be made from various types of mollusks, including oysters and mussels.

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): Japan, $287M

Top Destination (2019): Hong Kong, $366M

Pearls are the world's 930th most traded product.

In 2019, the top exporters of Pearls were Japan ($287M), Australia ($146M), Indonesia ($109M), French Polynesia ($88.9M), and China ($62.2M).

In 2019, the top importers of Pearls were Hong Kong ($366M), Japan ($286M), United States ($71.6M), Australia ($29.9M), and India ($25.9M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): United Kingdom, $3.4M

Top Destination Growth (2018 - 2019): Australia, $3.43M

Between 2018 and 2019, the exports of Pearls grew the fastest in United Kingdom ($3.4M), Myanmar ($3.05M), Singapore ($2.94M), Thailand ($2.66M), and Vietnam ($2.53M).

Between 2018 and 2019, the fastest growing importers of Pearls were Australia ($3.43M), France ($3.34M), Qatar ($2.81M), Lebanon ($694k), and Norway ($554k).

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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 Pearls.

In 2019,  market concentration measured using Shannon Entropy, was 3.27. This means that most of the exports of Pearls are explained by 9 countries.

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TOP NET EXPORTER (2019): Australia, $116M

TOP NET IMPORTER (2019): Hong Kong, $320M

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

In 2019, the countries that had a largest trade value in exports than in imports of Pearls were Australia ($116M), Indonesia ($108M), French Polynesia ($88.9M), China ($43.4M), and Philippines ($26.8M).

In 2019, the countries that had a largest trade value in imports than in exports of Pearls were Hong Kong ($320M), United States ($42.5M), India ($23.4M), Italy ($10.6M), and France ($8.51M).

Disaggregation

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Value

In 2019, the world most traded Pearls, disaggragated by their HS6 level were Pearls cultured worked, not mounted or... ($466M), Pearls cultured unworked ($358M), and Pearls natural, not permanently mounted or... ($79.2M)

Import Tariffs

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In 2018, the average tariff for importing Pearls was 7.79%. The countries with the highest tariffs for importing Pearls were Cook Islands (57.4%), Angola (50%), Barbados (45.1%), and Belize (44.2%).

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