Leather of Other Animals
4107 (Harmonized System 1992 for 4-digit)
Overview: This page contains the latest trade data of Leather of Other Animals. In 2019, Leather of Other Animals were the world's 941st most traded product, with a total trade of $861M. Between 2018 and 2019 the exports of Leather of Other Animals decreased by -16.2%, from $1.03B to $861M. Trade in Leather of Other Animals represent 0.0048% of total world trade.
Exports: In 2019 the top exporters of Leather of Other Animals were Italy ($127M), Thailand ($76.5M), France ($60.1M), Chinese Taipei ($54.2M), and United States ($53.2M).
Imports: In 2019 the top importers of Leather of Other Animals were Italy ($113M), China ($88.9M), France ($74M), Vietnam ($67.3M), and Thailand ($51.5M).
Tariffs: In 2018 the average tariff for Leather of Other Animals was 8.73%, making it the 494th lowest tariff using the HS4 product classification.
The countries with the highest import tariffs for Leather of Other Animals are Iran (57.5%), Bahamas (40.2%), Sudan (35%), Syria (27.6%), and Bermuda (25%). The countries with the lowest tariffs are Ethiopia (0%), Mauritius (0%), Hong Kong (0%), Indonesia (0%), and Singapore (0%).
Ranking: Leather of Other Animals ranks 816th in the Product Complexity Index (PCI).
Description: Leather is a tough material that can be used in many different ways. It can be used for clothing, such as for shoes and belts, or as a covering for furniture. Leather can also be used for accessories, such as wallets, purses, and key chains.
Product Trade
#permalink to sectionExporters and Importers
#permalink to sectionTrade By Country
Leather of Other Animals are the world's 941st most traded product.
In 2019, the top exporters of Leather of Other Animals were Italy ($127M), Thailand ($76.5M), France ($60.1M), Chinese Taipei ($54.2M), and United States ($53.2M).
In 2019, the top importers of Leather of Other Animals were Italy ($113M), China ($88.9M), France ($74M), Vietnam ($67.3M), and Thailand ($51.5M).
Market Dynamics
#permalink to sectionTrade by country
Top Origin Growth (2018 - 2019): Pakistan, $9.85M
Top Destination Growth (2018 - 2019): China, $12.3M
Between 2018 and 2019, the exports of Leather of Other Animals grew the fastest in Pakistan ($9.85M), Hong Kong ($6.91M), Cambodia ($5.58M), South Korea ($2.02M), and India ($1.8M).
Between 2018 and 2019, the fastest growing importers of Leather of Other Animals were China ($12.3M), Turkey ($2.85M), Czechia ($2.1M), United States ($1.82M), and Philippines ($1.71M).
Market Concentration
#permalink to sectionCumulative market share
This chart shows the evolution of the market concentration of exports of Leather of Other Animals.
In 2019, market concentration measured using Shannon Entropy, was 4.74. This means that most of the exports of Leather of Other Animals are explained by 26 countries.
Net Trade
#permalink to sectionTOP NET EXPORTER (2019): Chinese Taipei, $43M
TOP NET IMPORTER (2019): Vietnam, $56.6M
This map shows which countries export or import more of Leather of Other Animals. Each country is colored based on the difference in exports and imports of Leather of Other Animals during 2019.
In 2019, the countries that had a largest trade value in exports than in imports of Leather of Other Animals were Chinese Taipei ($43M), South Africa ($33.6M), Japan ($29.8M), Singapore ($28.3M), and Pakistan ($25.1M).
In 2019, the countries that had a largest trade value in imports than in exports of Leather of Other Animals were Vietnam ($56.6M), China ($40.4M), Portugal ($35.8M), Mexico ($27.2M), and Austria ($16.4M).
Disaggregation
#permalink to sectionIn 2019, the world most traded Leather of Other Animals, disaggragated by their HS6 level were Swine leather ($324M), Reptile leather, other than vegetable pre-tanned ($274M), and Leather, of animals nes ($263M)
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.
