HS Icon Horses

0101 (Harmonized System 1992 for 4-digit)

World Trade (2018): $2.85B, Rnk 642 / 1225

Top Exporter (2018): $482M, United Kingdom

Top Importer (2018): $620M, United Kingdom

Product Complexity (2018): -0.38, Rnk 657 / 1018

Export Growth (CAGR)(2017 - 2018): 0.96%, Rnk 1065 / 1225

Mean Tariff (2018): 7.23%, Rnk 604 / 1259

Share of World Trade (2018): 0.016%, Rnk 642 / 1225

Overview:  This page contains the latest trade data of Horses. In 2018, Horses were the world's 642nd most traded product, with a total trade of $2.85B. Between 2017 and 2018 the exports of Horses grew by 0.96%, from  $2.83B to $2.85B. Trade in Horses represent 0.016% of total world trade.

Exports: In 2018 the top exporters of Horses  were United Kingdom ($482M), Ireland ($478M), United States ($420M), Netherlands ($228M), and Germany ($219M).

Imports: In 2018 the top importers of Horses were United Kingdom ($620M), United States ($463M), Ireland ($320M), Hong Kong ($274M), and Japan ($148M).

Tariffs: In 2018 the average tariff for Horses was 7.23%, been the 604 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 657th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): United Kingdom, $482M

Top Destination (2018): United Kingdom, $620M

Horses are the world's 642nd most traded product.

In 2018, the top exporters of Horses were United Kingdom ($482M), Ireland ($478M), United States ($420M), Netherlands ($228M), and Germany ($219M).

In 2018, the top importers of Horses were United Kingdom ($620M), United States ($463M), Ireland ($320M), Hong Kong ($274M), and Japan ($148M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): China, $115M

Top Destination Growth (2017 - 2018): Hong Kong, $102M

Between 2017 and 2018, the exports of Horses grew the fastest in China ($115M), United States ($62.6M), Netherlands ($41.5M), Belgium-Luxembourg ($29M), and United Arab Emirates ($27.6M).

Between 2017 and 2018, the fastest growing importers of Horses were Hong Kong ($102M), United Kingdom ($89.6M), Afghanistan ($15.7M), Germany ($13.1M), and Japan ($12.8M).

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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 2018,  market concentration measured using Shannon Entropy, was 3.83. This means that most of the exports of Horses are explained by 14 countries.

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TOP NET EXPORTER (2018): Netherlands, $197M

TOP NET IMPORTER (2018): Hong Kong, $272M

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 2018.

In 2018, the countries that had a largest trade value in exports than in imports of Horses were Netherlands ($197M), Germany ($169M), Ireland ($158M), France ($100M), and China ($96.6M).

In 2018, the countries that had a largest trade value in imports than in exports of Horses were Hong Kong ($272M), United Kingdom ($138M), Japan ($130M), Mexico ($92M), and Switzerland ($46.6M).

Trade Forecasts

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This section shows forecasts for total trade for Horses. 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 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.