Transmissions for motor vehicles
870840 (Harmonized System 1992 for 6-digit)
Overview: This page contains the latest trade data of Transmissions for motor vehicles. In 2019, Transmissions for motor vehicles were the world's 30th most traded product, with a total trade of $68.1B. Between 2018 and 2019 the exports of Transmissions for motor vehicles decreased by -7.07%, from $73.3B to $68.1B. Trade in Transmissions for motor vehicles represent 0.38% of total world trade.
Exports: In 2019 the top exporters of Transmissions for motor vehicles were Japan ($16.5B), Germany ($16.1B), United States ($7.92B), Mexico ($4.73B), and South Korea ($3.05B).
Imports: In 2019 the top importers of Transmissions for motor vehicles were China ($9.95B), United States ($9.76B), Mexico ($5.99B), Germany ($5.71B), and Canada ($3.24B).
Tariffs: In 2018 the average tariff for Transmissions for motor vehicles was 7.91%, making it the 2868th lowest tariff using the HS6 product classification.
The countries with the highest import tariffs for Transmissions for motor vehicles are Maldives (41.5%), Pakistan (35%), Bermuda (35%), Cape Verde (30%), and Sri Lanka (29.3%). The countries with the lowest tariffs are Ghana (0%), Mauritius (0%), Hong Kong (0%), Japan (0%), and Singapore (0%).
Ranking: Transmissions for motor vehicles ranks 307th in the Product Complexity Index (PCI).
Description: Transmissions are used to convert the power from the engine to the wheels in a car. They also change the gears in a car and move the car.
Product Trade
#permalink to sectionExporters and Importers
#permalink to sectionTrade By Country
Transmissions for motor vehicles are the world's 30th most traded product.
In 2019, the top exporters of Transmissions for motor vehicles were Japan ($16.5B), Germany ($16.1B), United States ($7.92B), Mexico ($4.73B), and South Korea ($3.05B).
In 2019, the top importers of Transmissions for motor vehicles were China ($9.95B), United States ($9.76B), Mexico ($5.99B), Germany ($5.71B), and Canada ($3.24B).
Market Dynamics
#permalink to sectionTrade by country
Between 2018 and 2019, the exports of Transmissions for motor vehicles grew the fastest in Mexico ($212M), Italy ($191M), Hungary ($146M), Poland ($65.8M), and Turkey ($23.2M).
Between 2018 and 2019, the fastest growing importers of Transmissions for motor vehicles were Belgium ($535M), Hungary ($272M), Mexico ($87.2M), Uzbekistan ($68M), and Czechia ($66M).
Market Concentration
#permalink to sectionCumulative market share
This chart shows the evolution of the market concentration of exports of Transmissions for motor vehicles.
In 2019, market concentration measured using Shannon Entropy, was 3.64. This means that most of the exports of Transmissions for motor vehicles are explained by 12 countries.
Net Trade
#permalink to sectionThis map shows which countries export or import more of Transmissions for motor vehicles. Each country is colored based on the difference in exports and imports of Transmissions for motor vehicles during 2019.
In 2019, the countries that had a largest trade value in exports than in imports of Transmissions for motor vehicles were Japan ($15.6B), Germany ($10.4B), South Korea ($2.1B), Romania ($801M), and Italy ($456M).
In 2019, the countries that had a largest trade value in imports than in exports of Transmissions for motor vehicles were China ($8.49B), Canada ($2.18B), United States ($1.84B), Brazil ($1.78B), and Spain ($1.7B).
Tariffs
#permalink to sectionImport Tariffs
#permalink to sectionIn 2018, the average tariff for importing Transmissions for motor vehicles was 7.91%. The countries with the highest tariffs for importing Transmissions for motor vehicles were Maldives (41.5%), Pakistan (35%), Bermuda (35%), Cape Verde (30%), and Sri Lanka (29.3%).
Product 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.
