Cut flowers and flower buds for bouquets, dried, etc.

060390 (Harmonized System 1992 for 6-digit)

About

Overview This page contains the latest trade data of Dried flowers. In 2022, Dried flowers were the world's 2868th most traded product, with a total trade of $533M. Between 2021 and 2022 the exports of Dried flowers decreased by -12.8%, from $611M to $533M. Trade in Dried flowers represent 0.0023% of total world trade.

Dried flowers are a part of Cut Flowers.

Exports In 2022 the top exporters of Dried flowers  were Netherlands ($228M), Israel ($40.7M), Ecuador ($25.9M), China ($25.5M), and Colombia ($24.1M).

Imports In 2022 the top importers of Dried flowers were United States ($85.2M), France ($64.8M), Netherlands ($45.9M), Belgium ($34.4M), and Denmark ($30M).

Ranking Dried flowers ranks 4442nd in the Product Complexity Index (PCI).

Latest Data

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Dried flowers. 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 (2022)Netherlands$228M
Top Destination (2022)United States$85.2M

In 2022 Dried flowers were the world's 2868th most traded product (out of 4,648).

In 2022, the top exporters of Dried flowers were Netherlands ($228M), Israel ($40.7M), Ecuador ($25.9M), China ($25.5M), and Colombia ($24.1M).

In 2022, the top importers of Dried flowers were United States ($85.2M), France ($64.8M), Netherlands ($45.9M), Belgium ($34.4M), and Denmark ($30M).

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Exporters of Dried flowers (2022)
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Importers of Dried flowers (2022)
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Market Dynamics

Color
Top Origin Growth (2021 -  2022)Nigeria$12.2M
Top Destination Growth (2021 -  2022)United States$25.5M

Between 2021 and 2022, the exports of Dried flowers grew the fastest in Nigeria ($12.2M), Costa Rica ($3.16M), Ireland ($3.13M), Guatemala ($2.87M), and India ($2.22M).

Between 2021 and 2022, the fastest growing importers of Dried flowers were United States ($25.5M), Mexico ($5.61M), Kuwait ($2.81M), China ($1.69M), and Hungary ($1.57M).

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Exporters of Dried flowers (2021 - 2022)

Importers of Dried flowers (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Dried flowers.

In 2022, market concentration measured using Shannon Entropy, was 3.59. This means that most of the exports of Dried flowers are explained by 12 countries.

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Value of Exports in Dried flowers

Net Trade

TOP NET EXPORTER (2022)Netherlands$182M
TOP NET IMPORTER (2022)United States$82.1M

This map shows which countries export or import more of Dried flowers. Each country is colored based on the difference in exports and imports of Dried flowers during 2022.

In 2022, the countries that had a largest trade value in exports than in imports of Dried flowers were Netherlands ($182M), Israel ($39.2M), Ecuador ($25.9M), Nigeria ($23.8M), and Colombia ($23.3M).

In 2022, the countries that had a largest trade value in imports than in exports of Dried flowers were United States ($82.1M), France ($58.6M), Denmark ($27.2M), Belgium ($26.5M), and Germany ($26M).

Net Trade (2022)

Country Comparison

Flow
Measure
Ranking

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

Top 10 Exporters Countries of Dried flowers 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 (2022)

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