Overview: This page contains the latest trade data of Office Machine Parts. In 2019, Office Machine Parts were the world's 11th most traded product, with a total trade of $234B. Between 2018 and 2019 the exports of Office Machine Parts decreased by -9.95%, from $260B to $234B. Trade in Office Machine Parts represent 1.29% of total world trade.
Ranking: Office Machine Parts ranks 83rd in the Product Complexity Index (PCI).
Description: Parts and accessories suitable for use solely or principally with machines of heading 8469 to 8472 are used in the production of other goods. They can be made from a variety of materials, including wood, plastic, metal, and glass.
This chart shows the evolution of the market concentration of exports of Office Machine Parts.
In 2019, market concentration measured using Shannon Entropy, was 3.74. This means that most of the exports of Office Machine Parts are explained by 13 countries.
This map shows which countries export or import more of Office Machine Parts. Each country is colored based on the difference in exports and imports of Office Machine Parts during 2019.
In 2019, the countries that had a largest trade value in exports than in imports of Office Machine Parts were China ($65B), Thailand ($12.9B), Chinese Taipei ($9.75B), Philippines ($9.02B), and South Korea ($6.62B).
In 2019, the countries that had a largest trade value in imports than in exports of Office Machine Parts were Hong Kong ($26B), United States ($18.6B), Mexico ($14.5B), Germany ($4.1B), and Japan ($3.55B).
In 2018, the average tariff for importing Office Machine Parts was 3.98%. The countries with the highest tariffs for importing Office Machine Parts were Bermuda (25%), Bahamas (20.8%), Iran (19.6%), Cameroon (18%), and Gabon (18%).
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.