HS Icon Horses

0101 (Harmonized System 1992 for 4-digit)

 2019
World Trade
: $3.32B, Rnk 604 / 1217

2019
Top Exporter | Top Importer
: $543M | $684M, China | Hong Kong

2019
Product Complexity
: -0.11, Rnk 560 / 961

2018 - 2019
Export Growth (CAGR)
: 11.1%, Rnk 74 / 1217

2018
Mean Tariff
: 7.23%, Rnk 604 / 1259

 2019
Share of World Trade
: 0.018%, Rnk 604 / 1217

Overview:  This page contains the latest trade data of Horses. In 2019, Horses were the world's 604th most traded product, with a total trade of $3.32B. Between 2018 and 2019 the exports of Horses grew by 11.1%, from  $2.99B to $3.32B. Trade in Horses represent 0.018% of total world trade.

Exports: In 2019 the top exporters of Horses  were China ($543M), United Kingdom ($492M), Ireland ($471M), United States ($355M), and Germany ($252M).

Imports: In 2019 the top importers of Horses were Hong Kong ($684M), United States ($537M), United Kingdom ($527M), Ireland ($321M), and Japan ($144M).

Tariffs: In 2018 the average tariff for Horses was 7.23%, making it the 604th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Horses are Tunisia (36%), Barbados (25.2%), Bermuda (25%), Belize (24.6%), and India (24.5%). The countries with the lowest tariffs are Angola (0%), Mauritius (0%), South Africa (0%), United Arab Emirates (0%), and Hong Kong (0%).

Ranking: Horses ranks 560th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2019): China, $543M

Top Destination (2019): Hong Kong, $684M

Horses are the world's 604th most traded product.

In 2019, the top exporters of Horses were China ($543M), United Kingdom ($492M), Ireland ($471M), United States ($355M), and Germany ($252M).

In 2019, the top importers of Horses were Hong Kong ($684M), United States ($537M), United Kingdom ($527M), Ireland ($321M), and Japan ($144M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): China, $426M

Top Destination Growth (2018 - 2019): Hong Kong, $410M

Between 2018 and 2019, the exports of Horses grew the fastest in China ($426M), Germany ($33M), United Kingdom ($9.1M), United Arab Emirates ($5.69M), and Brazil ($4.79M).

Between 2018 and 2019, the fastest growing importers of Horses were Hong Kong ($410M), United States ($74M), Netherlands ($24M), New Zealand ($15.3M), and Switzerland ($10.3M).

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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 Horses.

In 2019,  market concentration measured using Shannon Entropy, was 3.8. This means that most of the exports of Horses are explained by 13 countries.

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TOP NET EXPORTER (2019): China, $517M

TOP NET IMPORTER (2019): Hong Kong, $683M

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

In 2019, the countries that had a largest trade value in exports than in imports of Horses were China ($517M), Germany ($197M), Netherlands ($175M), Ireland ($150M), and France ($122M).

In 2019, the countries that had a largest trade value in imports than in exports of Horses were Hong Kong ($683M), United States ($182M), Japan ($120M), Mexico ($80.1M), and Switzerland ($57.5M).

Disaggregation

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Value

In 2019, the world most traded Horses, disaggragated by their HS6 level were Horses, live except pure-bred breeding ($1.71B), Horses, live pure-bred breeding ($1.6B), and Asses, mules and hinnies, live ($800k)

Import Tariffs

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In 2018, the average tariff for importing Horses was 7.23%.  The countries with the highest tariffs for importing Horses were Tunisia (36%), Barbados (25.2%), Bermuda (25%), Belize (24.6%), and India (24.5%).

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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.