Furniture, metal, nes2020 World Trade: $18.3B, Rnk 139 / 4613
2020 Top Exporter | Top Importer: $9.59B | $5.38B, China | United States
2020 Product Complexity: 0.19, Rnk 2216 / 4783
2019 - 2020 Export Growth (CAGR): 3.16%, Rnk 887 / 4613
2018 Mean Tariff: 13%, Rnk 1519 / 6538
2020 Share of World Trade: 0.11%, Rnk 139 / 4613
Overview This page contains the latest trade data of Furniture, metal, nes. In 2020, Furniture, metal, nes were the world's 139th most traded product, with a total trade of $18.3B. Between 2019 and 2020 the exports of Furniture, metal, nes grew by 3.16%, from $17.7B to $18.3B. Trade in Furniture, metal, nes represent 0.11% of total world trade.
Furniture, metal, nes are a part of Other Furniture.
Exports In 2020 the top exporters of Furniture, metal, nes were China ($9.59B), Germany ($1.34B), Chinese Taipei ($734M), Vietnam ($715M), and Italy ($577M).
Imports In 2020 the top importers of Furniture, metal, nes were United States ($5.38B), Germany ($1.32B), France ($841M), United Kingdom ($821M), and Canada ($719M).
Tariffs In 2018 the average tariff for Furniture, metal, nes was 13%, making it the 1519th lowest tariff using the HS6 product classification.
Ranking Furniture, metal, nes ranks 2216th in the Product Complexity Index (PCI).
The following visualization shows the latest trends on Furniture, metal, nes. 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, $9.59B
Top Destination (2020): United States, $5.38B
Furniture, metal, nes are the world's 139th most traded product.
In 2020, the top exporters of Furniture, metal, nes were China ($9.59B), Germany ($1.34B), Chinese Taipei ($734M), Vietnam ($715M), and Italy ($577M).
In 2020, the top importers of Furniture, metal, nes were United States ($5.38B), Germany ($1.32B), France ($841M), United Kingdom ($821M), and Canada ($719M).
Trade by country
Top Origin Decrease (2019 - 2020): United States, -$120M
Top Destination Growth (2019 - 2020): United States, $372M
Between 2019 and 2020, the fastest declining exporters of Furniture, metal, nes were United States (-$120M), Germany (-$83.1M), Canada (-$81.3M), Italy (-$73.5M), and Spain (-$50.9M).
Between 2019 and 2020, the fastest growing importers of Furniture, metal, nes were United States ($372M), Saudi Arabia ($149M), Japan ($114M), South Korea ($99.6M), and Germany ($79.5M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Furniture, metal, nes.
In 2020, market concentration measured using Shannon Entropy, was 3.23. This means that most of the exports of Furniture, metal, nes are explained by 9 countries.
TOP NET EXPORTER (2020): China, $9.51B
TOP NET IMPORTER (2020): United States, $4.83B
This map shows which countries export or import more of Furniture, metal, nes. Each country is colored based on the difference in exports and imports of Furniture, metal, nes during 2020.
In 2020, the countries that had a largest trade value in exports than in imports of Furniture, metal, nes were China ($9.51B), Chinese Taipei ($618M), Vietnam ($601M), Italy ($304M), and Czechia ($231M).
In 2020, the countries that had a largest trade value in imports than in exports of Furniture, metal, nes were United States ($4.83B), France ($635M), United Kingdom ($621M), Japan ($621M), and Australia ($450M).
This visualization shows the countries that have an important ratio of their trade related to Furniture, metal, nes. It is possible to select the main countries that export or import Furniture, metal, nes 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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