About

Overview This page contains the latest trade data of Silk waste. In 2022, Silk waste were the world's 4347th most traded product, with a total trade of $102M. Between 2021 and 2022 the exports of Silk waste decreased by -16.8%, from $123M to $102M. Trade in Silk waste represent 0.00042% of total world trade.

Silk waste are a part of Silk waste (including cocoons unsuitable for reeling, yarn waste and garnetted stock).

Exports In 2022 the top exporters of Silk waste  were China ($37.7M), Uzbekistan ($21M), India ($19.4M), Germany ($5.78M), and Vietnam ($3.64M).

Imports In 2022 the top importers of Silk waste were China ($45.8M), Italy ($21.7M), Germany ($9.63M), Japan ($4.08M), and Peru ($3.08M).

Ranking Silk waste ranks 4934th in the Product Complexity Index (PCI).

Latest Data

View
Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Silk 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.

Explore Latest Trends

* 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.

Subscribe today to OEC pro and access the latest data

Sign Up

Historical Data

Exporters and Importers

Top Origin (2022)China$37.7M
Top Destination (2022)China$45.8M

In 2022 Silk waste were the world's 4347th most traded product (out of 5,023).

In 2022, the top exporters of Silk waste were China ($37.7M), Uzbekistan ($21M), India ($19.4M), Germany ($5.78M), and Vietnam ($3.64M).

In 2022, the top importers of Silk waste were China ($45.8M), Italy ($21.7M), Germany ($9.63M), Japan ($4.08M), and Peru ($3.08M).

Explore Visualizations

Exporters of Silk waste (2022)
[Click to Select a Country]

Importers of Silk waste (2022)
[Click to Select a Country]

Market Dynamics

Color
Top Origin Growth (2021 -  2022)North Korea$2.26M
Top Destination Growth (2021 -  2022)Italy$3.61M

Between 2021 and 2022, the exports of Silk waste grew the fastest in North Korea ($2.26M), China ($1.75M), Italy ($1.16M), United Kingdom ($617k), and Brazil ($434k).

Between 2021 and 2022, the fastest growing importers of Silk waste were Italy ($3.61M), Germany ($1.82M), Peru ($1.68M), United States ($1.58M), and Thailand ($638k).

Explore Visualizations

Exporters of Silk waste (2021 - 2022)

Importers of Silk waste (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Silk waste.

In 2022, market concentration measured using Shannon Entropy, was 2.74. This means that most of the exports of Silk waste are explained by 6 countries.

Explore Visualizations

Value of Exports in Silk waste

Net Trade

TOP NET EXPORTER (2022)Uzbekistan$20.9M
TOP NET IMPORTER (2022)Italy$18.3M

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

In 2022, the countries that had a largest trade value in exports than in imports of Silk waste were Uzbekistan ($20.9M), India ($18.3M), North Korea ($3.29M), Vietnam ($2.58M), and Turkmenistan ($1.11M).

In 2022, the countries that had a largest trade value in imports than in exports of Silk waste were Italy ($18.3M), China ($8.05M), Germany ($3.85M), Japan ($3.75M), and Peru ($3.08M).

Net Trade (2022)

Country Comparison

Flow
Measure
Ranking

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

Top 10 Exporters Countries of Silk 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)

Have questions, comments, or concerns?
Send us an e-mail: support@oec.world
Follow @OECtoday on
Created, Designed, and Developed by:
In collaboration with