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Overview This page contains the latest trade data of Leather Waste. In 2022, Leather Waste were the world's 1205th most traded product, with a total trade of $31M. Between 2021 and 2022 the exports of Leather Waste decreased by -17.4%, from $37.5M to $31M. Trade in Leather Waste represent 0.00013% of total world trade.

Leather Waste are a part of Raw hides & skin (non-fur). They include Parings and other waste of leather.

Exports In 2022 the top exporters of Leather Waste  were Spain ($7.56M), China ($6.95M), Italy ($4.3M), Peru ($2.22M), and United Kingdom ($1.57M).

Imports In 2022 the top importers of Leather Waste were Indonesia ($6.1M), Czechia ($2.91M), France ($2.58M), Italy ($2.44M), and Ecuador ($2.3M).

Latest Data

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The following visualization shows the latest trends on Leather 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 (2022)Spain$7.56M
Top Destination (2022)Indonesia$6.1M

In 2022 Leather Waste were the world's 1205th most traded product (out of 1,218).

In 2022, the top exporters of Leather Waste were Spain ($7.56M), China ($6.95M), Italy ($4.3M), Peru ($2.22M), and United Kingdom ($1.57M).

In 2022, the top importers of Leather Waste were Indonesia ($6.1M), Czechia ($2.91M), France ($2.58M), Italy ($2.44M), and Ecuador ($2.3M).

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Exporters of Leather Waste (2022)
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Importers of Leather Waste (2022)
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Market Dynamics

Color
Top Origin Growth (2021 -  2022)Spain$3.65M
Top Destination Growth (2021 -  2022)Italy$1.91M

Between 2021 and 2022, the exports of Leather Waste grew the fastest in Spain ($3.65M), Peru ($1.86M), Pakistan ($1.11M), United Kingdom ($493k), and Morocco ($312k).

Between 2021 and 2022, the fastest growing importers of Leather Waste were Italy ($1.91M), Ecuador ($1.9M), France ($1.82M), Germany ($759k), and Spain ($735k).

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Exporters of Leather Waste (2021 - 2022)

Importers of Leather Waste (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Leather Waste.

In 2022, market concentration measured using Shannon Entropy, was 3.6. This means that most of the exports of Leather Waste are explained by 12 countries.

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Value of Exports in Leather Waste

Net Trade

TOP NET EXPORTER (2022)China$6.8M
TOP NET IMPORTER (2022)Indonesia$5.6M

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

In 2022, the countries that had a largest trade value in exports than in imports of Leather Waste were China ($6.8M), Spain ($5.97M), Peru ($2.21M), Italy ($1.85M), and United Kingdom ($1.19M).

In 2022, the countries that had a largest trade value in imports than in exports of Leather Waste were Indonesia ($5.6M), Czechia ($2.9M), France ($1.97M), Germany ($1.36M), and Austria ($1.09M).

Net Trade (2022)

Country Comparison

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Ranking

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

Top 10 Exporters Countries of Leather 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 (2022)

Country by Relatedness

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

Relative Relatedness by Country (2022)

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