HS Icon Cosmetics brushes

960330 (Harmonized System 1992 for 6-digit)

Overview This page contains the latest trade data of Cosmetics brushes. In 2020, Cosmetics brushes were the world's 2125th most traded product, with a total trade of $831M. Between 2019 and 2020 the exports of Cosmetics brushes grew by 9.42%, from $760M to $831M. Trade in Cosmetics brushes represent 0.005% of total world trade.

Cosmetics brushes are a part of Brooms.

Exports In 2020 the top exporters of Cosmetics brushes  were China ($436M), Germany ($91.4M), United States ($46.8M), France ($34.2M), and United Kingdom ($29.1M).

Imports In 2020 the top importers of Cosmetics brushes were United States ($215M), France ($72.6M), Canada ($43.9M), Japan ($35.2M), and United Kingdom ($32.3M).

Tariffs In 2018 the average tariff for Cosmetics brushes was 9.5%, making it the 2388th lowest tariff using the HS6 product classification.

Ranking Cosmetics brushes ranks 2944th in the Product Complexity Index (PCI).

Description The most common types of brushes are the makeup brushes, which are used for applying makeup to the face and other parts of the body. Other common types of brushes are sable hair brushes, which are used for applying paint to a canvas, the calligraphy brush, for writing, and the chalk brush, for drawing and painting.

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Y-AXIS SCALE

The following visualization shows the latest trends on Cosmetics brushes. 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 (2020): China, $436M

Top Destination (2020): United States, $215M

Cosmetics brushes are the world's 2125th most traded product.

In 2020, the top exporters of Cosmetics brushes were China ($436M), Germany ($91.4M), United States ($46.8M), France ($34.2M), and United Kingdom ($29.1M).

In 2020, the top importers of Cosmetics brushes were United States ($215M), France ($72.6M), Canada ($43.9M), Japan ($35.2M), and United Kingdom ($32.3M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2019 -  2020): China, $137M

Top Destination Growth (2019 - 2020): United States, $111M

Between 2019 and 2020, the exports of Cosmetics brushes grew the fastest in China ($137M), Mexico ($3.37M), Netherlands ($2.97M), Slovenia ($859k), and Bangladesh ($706k).

Between 2019 and 2020, the fastest growing importers of Cosmetics brushes were United States ($111M), Canada ($9.91M), France ($9.7M), Japan ($7.09M), and Australia ($2.88M).

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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 Cosmetics brushes.

In 2020,  market concentration measured using Shannon Entropy, was 3.05. This means that most of the exports of Cosmetics brushes are explained by 8 countries.

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TOP NET EXPORTER (2020): China, $420M

TOP NET IMPORTER (2020): United States, $168M

This map shows which countries export or import more of Cosmetics brushes. Each country is colored based on the difference in exports and imports of Cosmetics brushes during 2020.

In 2020, the countries that had a largest trade value in exports than in imports of Cosmetics brushes were China ($420M), Germany ($59.2M), Mauritius ($8.57M), Vietnam ($6.46M), and India ($5.14M).

In 2020, the countries that had a largest trade value in imports than in exports of Cosmetics brushes were United States ($168M), Canada ($38.7M), France ($38.4M), Australia ($21.9M), and Poland ($16.1M).

Country Comparison

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Flow
Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Cosmetics brushes.
It is possible to select the main countries that export or import Cosmetics brushes 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.