Woodworking machines8465 (Harmonized System 1992 for 4-digit)
World Trade (2018): $8.61B, Rnk 365 / 1225
Top Exporter (2018): $2.07B, Germany
Top Importer (2018): $1.4B, United States
Product Complexity (2018): 0.93, Rnk 195 / 1018
Export Growth (CAGR)(2017 - 2018): 17.4%, Rnk 409 / 1225
Mean Tariff (2018): 4.78%, Rnk 860 / 1259
Share of World Trade (2018): 0.047%, Rnk 365 / 1225
Overview: This page contains the latest trade data of Woodworking machines. In 2018, Woodworking machines were the world's 365th most traded product, with a total trade of $8.61B. Between 2017 and 2018 the exports of Woodworking machines grew by 17.4%, from $7.33B to $8.61B. Trade in Woodworking machines represent 0.047% of total world trade.
Exports: In 2018 the top exporters of Woodworking machines were Germany ($2.07B), China ($1.7B), Italy ($1.38B), Chinese Taipei ($623M), and Austria ($466M).
Imports: In 2018 the top importers of Woodworking machines were United States ($1.4B), Germany ($614M), China ($600M), France ($350M), and Poland ($334M).
Tariffs: In 2018 the average tariff for Woodworking machines was 4.78%, making it the 860th lowest tariff using the HS4 product classification.
The countries with the highest import tariffs for Woodworking machines are Bahamas (40.2%), Bermuda (25%), Maldives (19.6%), Tunisia (17.1%), and Romania (15.9%). The countries with the lowest tariffs are Angola (0%), Egypt (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).
Ranking: Woodworking machines ranks 195th in the Product Complexity Index (PCI).
Description: Machine tools are used to make other goods. They can be made from a variety of materials, including steel, aluminum, and wood.
Trade By Country
Top Origin (2018): Germany, $2.07B
Top Destination (2018): United States, $1.4B
Woodworking machines are the world's 365th most traded product.
In 2018, the top exporters of Woodworking machines were Germany ($2.07B), China ($1.7B), Italy ($1.38B), Chinese Taipei ($623M), and Austria ($466M).
In 2018, the top importers of Woodworking machines were United States ($1.4B), Germany ($614M), China ($600M), France ($350M), and Poland ($334M).
Trade by country
Between 2017 and 2018, the exports of Woodworking machines grew the fastest in Germany ($366M), Italy ($201M), China ($166M), Austria ($129M), and Finland ($44.4M).
Between 2017 and 2018, the fastest growing importers of Woodworking machines were Germany ($172M), Vietnam ($107M), Poland ($103M), United States ($97.6M), and France ($72.2M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Woodworking machines.
In 2018, market concentration measured using Shannon Entropy, was 3.76. This means that most of the exports of Woodworking machines are explained by 13 countries.
TOP NET EXPORTER (2018): Germany, $1.45B
TOP NET IMPORTER (2018): United States, $1.2B
This map shows which countries export or import more of Woodworking machines. Each country is colored based on the difference in exports and imports of Woodworking machines during 2018.
In 2018, the countries that had a largest trade value in exports than in imports of Woodworking machines were Germany ($1.45B), Italy ($1.17B), China ($1.1B), Chinese Taipei ($574M), and Austria ($251M).
In 2018, the countries that had a largest trade value in imports than in exports of Woodworking machines were United States ($1.2B), Russia ($310M), Vietnam ($280M), France ($269M), and United Kingdom ($210M).
In 2018, the world most traded Woodworking machines, disaggragated by their HS6 level were Sawing machines for working wood, cork,... ($2.21B), Machine tools for wood, cork or... ($2B), Multi-purpose machines for wood etc work ($1.26B), Planing and milling machines for wood,... ($845M), and Drilling or morticing machines for wood,... ($712M)
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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