Tanned Equine and Bovine Hides
4104 (Harmonized System 1992 for 4-digit)
Overview: This page contains the latest trade data of Tanned Equine and Bovine Hides. In 2019, Tanned Equine and Bovine Hides were the world's 227th most traded product, with a total trade of $15.3B. Between 2018 and 2019 the exports of Tanned Equine and Bovine Hides decreased by -19.6%, from $19.1B to $15.3B. Trade in Tanned Equine and Bovine Hides represent 0.085% of total world trade.
Exports: In 2019 the top exporters of Tanned Equine and Bovine Hides were Italy ($3.06B), United States ($1.57B), Brazil ($1.17B), Argentina ($719M), and Germany ($626M).
Imports: In 2019 the top importers of Tanned Equine and Bovine Hides were China ($2.3B), Italy ($1.72B), Vietnam ($1.35B), Hong Kong ($842M), and United States ($662M).
Tariffs: In 2018 the average tariff for Tanned Equine and Bovine Hides was 4.4%, making it the 928th lowest tariff using the HS4 product classification.
The countries with the highest import tariffs for Tanned Equine and Bovine Hides are Bahamas (40.2%), Sudan (35%), Bermuda (25%), Malawi (22.6%), and Samoa (20%). The countries with the lowest tariffs are Ethiopia (0%), Mauritius (0%), Hong Kong (0%), Indonesia (0%), and Singapore (0%).
Ranking: Tanned Equine and Bovine Hides ranks 781st in the Product Complexity Index (PCI).
Description: Tanned hides and skins are used to make leather goods, such as shoes, clothing, and furniture.
Product Trade
#permalink to sectionExporters and Importers
#permalink to sectionTrade By Country
Tanned Equine and Bovine Hides are the world's 227th most traded product.
In 2019, the top exporters of Tanned Equine and Bovine Hides were Italy ($3.06B), United States ($1.57B), Brazil ($1.17B), Argentina ($719M), and Germany ($626M).
In 2019, the top importers of Tanned Equine and Bovine Hides were China ($2.3B), Italy ($1.72B), Vietnam ($1.35B), Hong Kong ($842M), and United States ($662M).
Market Dynamics
#permalink to sectionTrade by country
Between 2018 and 2019, the exports of Tanned Equine and Bovine Hides grew the fastest in China ($51.4M), Vietnam ($8.22M), Andorra ($7.41M), Nigeria ($5.51M), and Panama ($5.33M).
Between 2018 and 2019, the fastest growing importers of Tanned Equine and Bovine Hides were Vietnam ($33.9M), Cambodia ($32.3M), Myanmar ($13.9M), Moldova ($6.32M), and Philippines ($2.61M).
Market Concentration
#permalink to sectionCumulative market share
This chart shows the evolution of the market concentration of exports of Tanned Equine and Bovine Hides.
In 2019, market concentration measured using Shannon Entropy, was 4.81. This means that most of the exports of Tanned Equine and Bovine Hides are explained by 27 countries.
Net Trade
#permalink to sectionThis map shows which countries export or import more of Tanned Equine and Bovine Hides. Each country is colored based on the difference in exports and imports of Tanned Equine and Bovine Hides during 2019.
In 2019, the countries that had a largest trade value in exports than in imports of Tanned Equine and Bovine Hides were Italy ($1.34B), Brazil ($1.13B), United States ($910M), Argentina ($709M), and Australia ($201M).
In 2019, the countries that had a largest trade value in imports than in exports of Tanned Equine and Bovine Hides were China ($1.71B), Vietnam ($916M), Hong Kong ($717M), Indonesia ($344M), and Mexico ($260M).
Disaggregation
#permalink to sectionIn 2019, the world most traded Tanned Equine and Bovine Hides, disaggragated by their HS6 level were Bovine and equine leather, full or... ($7.34B), Bovine leather, otherwise pre-tanned except whole... ($4.76B), Bovine and equine leather, nes ($3.08B), and Bovine and equine leather, tanned or... ($147M)
Tariffs
#permalink to sectionProduct Complexity
#permalink to sectionDiversification Frontier
#permalink to sectionThe 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.
