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530519 (Harmonized System 1992 for 6-digit)

2018
World Trade $95.5kRnk 4642 / 4807
2018
Top Exporter | Top Importer $95.5k | $95.5kKenya | Libya
2018
Product Complexity -1.08Rnk 4087 / 4886
2017 - 2018
Export Growth (CAGR) 19.6%Rnk 606 / 4807
2018
Share of World Trade <0.01%Rnk 4642 / 4807

About

Overview This page contains the latest trade data of Coconut (coir) fibre,processed not spun, tow & waste. In 2018, Coconut (coir) fibre,processed not spun, tow & waste were the world's 4642nd most traded product, with a total trade of $95.5k. Between 2017 and 2018 the exports of Coconut (coir) fibre,processed not spun, tow & waste grew by 19.6%, from $79.9k to $95.5k. Trade in Coconut (coir) fibre,processed not spun, tow & waste represent 5.1e-7% of total world trade.

Coconut (coir) fibre,processed not spun, tow & waste are a part of Coconut and Other Vegetable Fibers.

Exports In 2018 the top exporters of Coconut (coir) fibre,processed not spun, tow & waste  were Kenya ($95.5k) and United States ($24).

Imports In 2018 the top importers of Coconut (coir) fibre,processed not spun, tow & waste were Libya ($95.5k) and Barbados ($24).

Ranking Coconut (coir) fibre,processed not spun, tow & waste ranks 4087th 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 Coconut (coir) fibre,processed not spun, tow & waste. 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 (2018)Kenya$95.5k
Top Destination (2018)Libya$95.5k

In 2018 Coconut (coir) fibre,processed not spun, tow & waste were the world's 4642nd most traded product (out of 4,807).

In 2018, the top exporters of Coconut (coir) fibre,processed not spun, tow & waste were Kenya ($95.5k) and United States ($24).

In 2018, the top importers of Coconut (coir) fibre,processed not spun, tow & waste were Libya ($95.5k) and Barbados ($24).

Explore Visualizations

Exporters of Coconut (coir) fibre,processed not spun, tow & waste (2018)
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Importers of Coconut (coir) fibre,processed not spun, tow & waste (2018)
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Market Dynamics

Color

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Exporters of Coconut (coir) fibre,processed not spun, tow & waste (2017 - 2018)

Importers of Coconut (coir) fibre,processed not spun, tow & waste (2017 - 2018)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Coconut (coir) fibre,processed not spun, tow & waste.

In 2018, market concentration measured using Shannon Entropy, was 0.0034. This means that most of the exports of Coconut (coir) fibre,processed not spun, tow & waste are explained by 1 countries.

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Value of Exports in Coconut (coir) fibre,processed not spun, tow & waste

Net Trade

This map shows which countries export or import more of Coconut (coir) fibre,processed not spun, tow & waste. Each country is colored based on the difference in exports and imports of Coconut (coir) fibre,processed not spun, tow & waste during 2018.

Net Trade (2018)

Country Comparison

Flow
Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Coconut (coir) fibre,processed not spun, tow & waste.
It is possible to select the main countries that export or import Coconut (coir) fibre,processed not spun, tow & waste in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Coconut (coir) fibre,processed not spun, tow & waste 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 (2018)

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