441191 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Fibreboard nes not worked or surface covered nes. In 2016, Fibreboard nes not worked or surface covered nes were the world's 4836th most traded product, with a total trade of $10.7k. Between 2015 and 2016 the exports of Fibreboard nes not worked or surface covered nes decreased by -30.9%, from $15.5k to $10.7k. Trade in Fibreboard nes not worked or surface covered nes represent 6.9e-8% of total world trade.

Fibreboard nes not worked or surface covered nes are a part of Wood Fiberboard.

Exports In 2016 the top exporters of Fibreboard nes not worked or surface covered nes  were United Kingdom ($3.46k), Singapore ($3.16k), China ($3.12k), and Italy ($965).

Imports In 2016 the top importers of Fibreboard nes not worked or surface covered nes were Philippines ($10.7k).

Ranking Fibreboard nes not worked or surface covered nes ranks 2648th in the Product Complexity Index (PCI).

Latest Data

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Y-AXIS SCALE

The following visualization shows the latest trends on Fibreboard nes not worked or surface covered 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 (2016)United Kingdom$3.46k
Top Destination (2016)Philippines$10.7k

In 2016 Fibreboard nes not worked or surface covered nes were the world's 4836th most traded product (out of 4,869).

In 2016, the top exporters of Fibreboard nes not worked or surface covered nes were United Kingdom ($3.46k), Singapore ($3.16k), China ($3.12k), and Italy ($965).

In 2016, the top importers of Fibreboard nes not worked or surface covered nes were Philippines ($10.7k).

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Exporters of Fibreboard nes not worked or surface covered nes (2016)
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Importers of Fibreboard nes not worked or surface covered nes (2016)
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Market Dynamics

Color

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Exporters of Fibreboard nes not worked or surface covered nes (2015 - 2016)

Importers of Fibreboard nes not worked or surface covered nes (2015 - 2016)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Fibreboard nes not worked or surface covered nes.

In 2016, market concentration measured using Shannon Entropy, was 1.88. This means that most of the exports of Fibreboard nes not worked or surface covered nes are explained by 3 countries.

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Value of Exports in Fibreboard nes not worked or surface covered nes

Net Trade

TOP NET EXPORTER (2016)United Kingdom$3.46k
TOP NET IMPORTER (2016)Italy$965

This map shows which countries export or import more of Fibreboard nes not worked or surface covered nes. Each country is colored based on the difference in exports and imports of Fibreboard nes not worked or surface covered nes during 2016.

In 2016, the countries that had a largest trade value in exports than in imports of Fibreboard nes not worked or surface covered nes were United Kingdom ($3.46k), Singapore ($3.16k), China ($3.12k), and Italy ($965).

Net Trade (2016)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Fibreboard nes not worked or surface covered nes.
It is possible to select the main countries that export or import Fibreboard nes not worked or surface covered nes in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Fibreboard nes not worked or surface covered 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 (2016)

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