HS Icon Wood Wool

Wood wool; wood flour

4405 (Harmonized System 1992 for 4-digit)

Overview This page contains the latest trade data of Wood Wool. In 2021, Wood Wool were the world's 1174th most traded product, with a total trade of $98.8M. Between 2020 and 2021 the exports of Wood Wool grew by 4.58%, from $94.5M to $98.8M. Trade in Wood Wool represent 0.00047% of total world trade.

Wood Wool are a part of Wood, wood articles, & charcoal. They include Wood wool, wood flour.

Exports In 2021 the top exporters of Wood Wool  were Germany ($36.2M), Vietnam ($16.7M), United States ($8.28M), Ukraine ($5.3M), and United Kingdom ($4.32M).

Imports In 2021 the top importers of Wood Wool were Netherlands ($7.89M), South Korea ($7.68M), Belgium ($6.06M), United Kingdom ($5.49M), and Germany ($5.4M).

Tariffs In 2018 the average tariff for Wood Wool was 5.34%, making it the 775th lowest tariff using the HS4 product classification.

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Wood Wool. 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.

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Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2021): Germany, $36.2M

Top Destination (2021): Netherlands, $7.89M

Wood Wool are the world's 1174th most traded product.

In 2021, the top exporters of Wood Wool were Germany ($36.2M), Vietnam ($16.7M), United States ($8.28M), Ukraine ($5.3M), and United Kingdom ($4.32M).

In 2021, the top importers of Wood Wool were Netherlands ($7.89M), South Korea ($7.68M), Belgium ($6.06M), United Kingdom ($5.49M), and Germany ($5.4M).

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Market Dynamics

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Trade by country

Color

Top Origin Growth (2020 -  2021): Germany, $3.09M

Top Destination Growth (2020 -  2021): United Kingdom, $1.31M

Between 2020 and 2021, the exports of Wood Wool grew the fastest in Germany ($3.09M), United States ($1.79M), United Kingdom ($1.73M), Ukraine ($1.23M), and Belgium ($1.17M).

Between 2020 and 2021, the fastest growing importers of Wood Wool were United Kingdom ($1.31M), Hong Kong ($1.29M), Chinese Taipei ($1.25M), Italy ($1.17M), and Belgium ($1.16M).

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Market Concentration

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Cumulative market share

Value

This chart shows the evolution of the market concentration of exports of Wood Wool.

In 2021, market concentration measured using Shannon Entropy, was 3.51. This means that most of the exports of Wood Wool are explained by 11 countries.

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TOP NET EXPORTER (2021): Germany, $30.8M

TOP NET IMPORTER (2021): South Korea, $7.65M

This map shows which countries export or import more of Wood Wool. Each country is colored based on the difference in exports and imports of Wood Wool during 2021.

In 2021, the countries that had a largest trade value in exports than in imports of Wood Wool were Germany ($30.8M), Vietnam ($16.5M), United States ($7M), Ukraine ($4.32M), and Norway ($764k).

In 2021, the countries that had a largest trade value in imports than in exports of Wood Wool were South Korea ($7.65M), Indonesia ($4.36M), Netherlands ($4.23M), Belgium ($4.08M), and Hong Kong ($3.91M).

Disaggregation

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Value

In 2021, the world most traded Wood Wool, disaggragated by their HS6 level were Wood wool, wood flour ($98.8M)

Country Comparison

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Flow
Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Wood Wool.
It is possible to select the main countries that export or import Wood Wool in the world, or by continent, as well as select the measure of interest.

Product Complexity

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Diversification Frontier

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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.

Country by Relatedness

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The following visualization shows the relatedness of Wood Wool to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.