HS Icon Veneer Sheets

4408 (Harmonized System 1992 for 4-digit)

World Trade (2018): $3.71B, Rnk 581 / 1225

Top Exporter (2018): $514M, China

Top Importer (2018): $431M, United States

Product Complexity (2018): -0.83, Rnk 779 / 1018

Export Growth (CAGR)(2017 - 2018): 18.4%, Rnk 379 / 1225

Mean Tariff (2018): 6.12%, Rnk 688 / 1259

Share of World Trade (2018): 0.02%, Rnk 581 / 1225

Overview: In 2018, Veneer Sheets were the world's 581st most traded product, with a total trade of $3.71B. Between 2017 and 2018 the exports of Veneer Sheets grew by 18.4%, from  $3.13B to $3.71B. Trade in Veneer Sheets represent 0.02% of total world trade.

Exports: In 2018 the top exporters of Veneer Sheets  were China ($514M), United States ($337M), Canada ($329M), Ukraine ($199M), and Russia ($174M).

Imports: In 2018 the top importers of Veneer Sheets were United States ($431M), India ($267M), Italy ($187M), Germany ($186M), and China ($177M).

Tariffs: In 2018 the average tariff for Veneer Sheets was 6.12%, been the 688 lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Veneer Sheets are Papua New Guinea (49.4%), Laos (38.1%), Zambia (36.3%), Sudan (35%), and Angola (30%). The countries with the lowest tariffs are Mauritius (0%), Hong Kong (0%), Indonesia (0%), Lebanon (0%), and Sri Lanka (0%).

Ranking: Veneer Sheets ranks 779th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): China, $514M

Top Destination (2018): United States, $431M

Veneer Sheets are the world's 581st most traded product.

In 2018, the top exporters of Veneer Sheets were China ($514M), United States ($337M), Canada ($329M), Ukraine ($199M), and Russia ($174M).

In 2018, the top importers of Veneer Sheets were United States ($431M), India ($267M), Italy ($187M), Germany ($186M), and China ($177M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Canada, $216M

Top Destination Growth (2017 - 2018): United States, $236M

Between 2017 and 2018, the exports of Veneer Sheets grew the fastest in Canada ($216M), China ($119M), United States ($47.8M), Indonesia ($38.9M), and Gabon ($37.9M).

Between 2017 and 2018, the fastest growing importers of Veneer Sheets were United States ($236M), Chinese Taipei ($53.4M), Vietnam ($42.1M), India ($38.3M), and Malaysia ($32.1M).

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Market Concentration

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Cumulative market share

This chart shows the evolution of the market concentration of exports of Veneer Sheets.

In 2018,  market concentration measured using Shannon Entropy, was 4.93. This means that most of the exports of Veneer Sheets are explained by 30 countries.

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TOP NET EXPORTER (2018): China, $338M

TOP NET IMPORTER (2018): India, $244M

This map shows which countries export or import more of Veneer Sheets. Each country is colored based on the difference in exports and imports of Veneer Sheets during 2018.

In 2018, the countries that had a largest trade value in exports than in imports of Veneer Sheets were China ($338M), Canada ($188M), Ukraine ($170M), Russia ($144M), and Gabon ($139M).

In 2018, the countries that had a largest trade value in imports than in exports of Veneer Sheets were India ($244M), Japan ($168M), Chinese Taipei ($98M), United States ($93.6M), and Spain ($84.7M).

Trade Forecasts

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This section shows forecasts for total trade for Veneer Sheets. The forecast is based in a long short-term memory model or LSTM constructed using yearly trade data.

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Import Tariffs

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In 2018, the average tariff for importing Veneer Sheets was 6.12%.  The countries with the highest tariffs for importing Veneer Sheets were Papua New Guinea (49.4%), Laos (38.1%), Zambia (36.3%), Sudan (35%), and Angola (30%).

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Product Complexity

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Diversification Frontier

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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.