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441229 (Harmonized System 1992 for 6-digit)

2019
World Trade $650kRnk 4617 / 4763
2019
Top Exporter | Top Importer $527k | $650kChina | Timor-Leste
2019
Product Complexity -0.3Rnk 3115 / 4848
2018 - 2019
Export Growth (CAGR) 1.38%Rnk 1462 / 4763
2019
Share of World Trade <0.01%Rnk 4617 / 4763

About

Overview This page contains the latest trade data of Panels, 1 outer ply non-coniferous wood nes. In 2019, Panels, 1 outer ply non-coniferous wood nes were the world's 4617th most traded product, with a total trade of $650k. Between 2018 and 2019 the exports of Panels, 1 outer ply non-coniferous wood nes grew by 1.38%, from $641k to $650k. Trade in Panels, 1 outer ply non-coniferous wood nes represent 0.0000035% of total world trade.

Panels, 1 outer ply non-coniferous wood nes are a part of Plywood.

Exports In 2019 the top exporters of Panels, 1 outer ply non-coniferous wood nes  were China ($527k), Indonesia ($74.7k), and Hong Kong ($47.6k).

Imports In 2019 the top importers of Panels, 1 outer ply non-coniferous wood nes were Timor-Leste ($650k).

Ranking Panels, 1 outer ply non-coniferous wood nes ranks 3115th in the Product Complexity Index (PCI).

Latest Trends

Latest Data

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Panels, 1 outer ply non-coniferous wood 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.

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* Trade values are converted to USD using each month's exchange rate. For December 2023 data, the exchange rate from December 30, 2023 is used.

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Historical Data

Exporters and Importers

Top Origin (2019)China$527k
Top Destination (2019)Timor-Leste$650k

In 2019 Panels, 1 outer ply non-coniferous wood nes were the world's 4617th most traded product (out of 4,763).

In 2019, the top exporters of Panels, 1 outer ply non-coniferous wood nes were China ($527k), Indonesia ($74.7k), and Hong Kong ($47.6k).

In 2019, the top importers of Panels, 1 outer ply non-coniferous wood nes were Timor-Leste ($650k).

Explore Visualizations

Exporters of Panels, 1 outer ply non-coniferous wood nes (2019)
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Importers of Panels, 1 outer ply non-coniferous wood nes (2019)
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Market Dynamics

Color

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Exporters of Panels, 1 outer ply non-coniferous wood nes (2018 - 2019)

Importers of Panels, 1 outer ply non-coniferous wood nes (2018 - 2019)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Panels, 1 outer ply non-coniferous wood nes.

In 2019, market concentration measured using Shannon Entropy, was 0.88. This means that most of the exports of Panels, 1 outer ply non-coniferous wood nes are explained by 1 countries.

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Value of Exports in Panels, 1 outer ply non-coniferous wood nes

Net Trade

TOP NET EXPORTER (2019)China$527k
TOP NET IMPORTER (2019)Hong Kong$47.6k

This map shows which countries export or import more of Panels, 1 outer ply non-coniferous wood nes. Each country is colored based on the difference in exports and imports of Panels, 1 outer ply non-coniferous wood nes during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Panels, 1 outer ply non-coniferous wood nes were China ($527k), Indonesia ($74.7k), and Hong Kong ($47.6k).

Net Trade (2019)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Panels, 1 outer ply non-coniferous wood nes.
It is possible to select the main countries that export or import Panels, 1 outer ply non-coniferous wood nes in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Panels, 1 outer ply non-coniferous wood nes by percentage of total exports

Product Complexity

Diversification Frontier

Specialization

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.

Relatedness vs Country Complexity (2019)

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