Wood ProductsIX (Harmonized System 1992 for Section)
2020 World Trade: $140B, Rnk 17 / 21
2020 Top Exporter | Top Importer: $15.3B | $23.2B, China | United States
2020 Product Complexity: -0.44, Rnk 15 / 21
2019 - 2020 Export Growth (CAGR): -2.29%, Rnk 8 / 21
2020 Share of World Trade: 0.84%, Rnk 17 / 21
Overview This page contains the latest trade data of Wood Products. In 2020, Wood Products were the world's 17th most traded product, with a total trade of $140B. Between 2019 and 2020 the exports of Wood Products decreased by -2.29%, from $143B to $140B. Trade in Wood Products represent 0.84% of total world trade.
Wood Products include Sawn Wood, Rough Wood, Plywood, Wood Carpentry, Wood Fiberboard, Particle Board, Fuel Wood, Other Wood Articles, Shaped Wood, and Veneer Sheets, among others.
Exports In 2020 the top exporters of Wood Products were China ($15.3B), Canada ($13.4B), Germany ($9.75B), Russia ($8.44B), and United States ($7.8B).
Imports In 2020 the top importers of Wood Products were United States ($23.2B), China ($16.9B), Germany ($8.87B), Japan ($8.21B), and United Kingdom ($7.11B).
Ranking Wood Products ranks 15th in the Product Complexity Index (PCI).
The following visualization shows the latest trends on Wood Products. Countries are shown based on data availability.
For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.
* Using January 2020 exchange rates when trade data is reported in local currency.
Trade By Country
Top Origin (2020): China, $15.3B
Top Destination (2020): United States, $23.2B
Wood Products are the world's 17th most traded product.
In 2020, the top exporters of Wood Products were China ($15.3B), Canada ($13.4B), Germany ($9.75B), Russia ($8.44B), and United States ($7.8B).
In 2020, the top importers of Wood Products were United States ($23.2B), China ($16.9B), Germany ($8.87B), Japan ($8.21B), and United Kingdom ($7.11B).
Trade by country
Top Origin Growth (2019 - 2020): Canada, $1.74B
Top Destination Growth (2019 - 2020): United States, $3.56B
Between 2019 and 2020, the exports of Wood Products grew the fastest in Canada ($1.74B), Germany ($453M), Sweden ($336M), Brazil ($174M), and Ecuador ($168M).
Between 2019 and 2020, the fastest growing importers of Wood Products were United States ($3.56B), Netherlands ($457M), Germany ($223M), Denmark ($177M), and Saudi Arabia ($175M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Wood Products.
In 2020, market concentration measured using Shannon Entropy, was 5.24. This means that most of the exports of Wood Products are explained by 37 countries.
TOP NET EXPORTER (2020): Canada, $10.7B
TOP NET IMPORTER (2020): United States, $15.4B
This map shows which countries export or import more of Wood Products. Each country is colored based on the difference in exports and imports of Wood Products during 2020.
In 2020, the countries that had a largest trade value in exports than in imports of Wood Products were Canada ($10.7B), Russia ($7.74B), Indonesia ($3.75B), Brazil ($3.09B), and New Zealand ($2.75B).
In 2020, the countries that had a largest trade value in imports than in exports of Wood Products were United States ($15.4B), Japan ($7.85B), United Kingdom ($6.52B), South Korea ($2.76B), and Netherlands ($2.65B).
In 2020, the world most traded Wood Products, disaggragated by their HS6 level were Sawn Wood ($37.1B), Plywood ($14.7B), Wood Carpentry ($14.3B), Rough Wood ($13.2B), and Wood Fiberboard ($10.2B)
This visualization shows the countries that have an important ratio of their trade related to Wood Products. It is possible to select the main countries that export or import Wood Products in the world, or by continent, as well as select the measure of interest.
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.
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