Overcoats, car-coats, capes, cloaks, anoraks (including ski-jackets), wind-cheaters, wind-jackets and similar articles, men's or boys', other than those of heading no. 6203 (not knitted or crocheted)

6201 (Harmonized System 1992 for 4-digit)

About

Overview This page contains the latest trade data of Non-Knit Men's Coats. In 2022, Non-Knit Men's Coats were the world's 226th most traded product, with a total trade of $19.5B. Between 2021 and 2022 the exports of Non-Knit Men's Coats grew by 13.5%, from $17.2B to $19.5B. Trade in Non-Knit Men's Coats represent 0.082% of total world trade.

Non-Knit Men's Coats are a part of Non-knitted clothing accesories. They include Mens, boys anoraks etc, of manmade fibres, not knit, Mens, boys anoraks etc, of cotton, not knit, Mens, boys overcoats of manmade fibres, not knit, Mens, boys overcoats of wool or hair, not knit, Mens, boys overcoats of cotton, not knit, Mens, boys anoraks etc, of material nes, not knit, Mens, boys overcoats of material nes, not knit, and Mens, boys anoraks etc, of wool or hair, not knit.

Exports In 2022 the top exporters of Non-Knit Men's Coats  were China ($6.99B), Vietnam ($2.25B), Italy ($1.5B), Bangladesh ($1.36B), and Burma ($821M).

Imports In 2022 the top importers of Non-Knit Men's Coats were United States ($2.62B), Germany ($1.7B), Italy ($1.16B), South Korea ($1B), and Japan ($983M).

Ranking Non-Knit Men's Coats ranks 838th in the Product Complexity Index (PCI).

Description Men's or boys' overcoats are used to keep the wearer warm. They can be made from a variety of materials, including wool, cotton, polyester, and nylon.

Latest Data

View
Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Non-Knit Men's Coats. 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$6.99B
Top Destination (2022)United States$2.62B

In 2022 Non-Knit Men's Coats were the world's 226th most traded product (out of 1,218).

In 2022, the top exporters of Non-Knit Men's Coats were China ($6.99B), Vietnam ($2.25B), Italy ($1.5B), Bangladesh ($1.36B), and Burma ($821M).

In 2022, the top importers of Non-Knit Men's Coats were United States ($2.62B), Germany ($1.7B), Italy ($1.16B), South Korea ($1B), and Japan ($983M).

Explore Visualizations

Exporters of Non-Knit Men's Coats (2022)
[Click to Select a Country]

Importers of Non-Knit Men's Coats (2022)
[Click to Select a Country]

Market Dynamics

Color
Top Origin Growth (2021 -  2022)China$1.32B
Top Destination Growth (2021 -  2022)United States$584M

Between 2021 and 2022, the exports of Non-Knit Men's Coats grew the fastest in China ($1.32B), Vietnam ($404M), Burma ($279M), Bangladesh ($221M), and Romania ($120M).

Between 2021 and 2022, the fastest growing importers of Non-Knit Men's Coats were United States ($584M), Italy ($258M), Kazakhstan ($188M), Netherlands ($157M), and Kyrgyzstan ($154M).

Explore Visualizations

Exporters of Non-Knit Men's Coats (2021 - 2022)

Importers of Non-Knit Men's Coats (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Non-Knit Men's Coats.

In 2022, market concentration measured using Shannon Entropy, was 3.85. This means that most of the exports of Non-Knit Men's Coats are explained by 14 countries.

Explore Visualizations

Value of Exports in Non-Knit Men's Coats

Net Trade

TOP NET EXPORTER (2022)China$6.19B
TOP NET IMPORTER (2022)United States$2.51B

This map shows which countries export or import more of Non-Knit Men's Coats. Each country is colored based on the difference in exports and imports of Non-Knit Men's Coats during 2022.

In 2022, the countries that had a largest trade value in exports than in imports of Non-Knit Men's Coats were China ($6.19B), Vietnam ($2.18B), Bangladesh ($1.36B), Burma ($819M), and Indonesia ($461M).

In 2022, the countries that had a largest trade value in imports than in exports of Non-Knit Men's Coats were United States ($2.51B), Japan ($955M), South Korea ($955M), Germany ($935M), and Kyrgyzstan ($712M).

Net Trade (2022)

Disaggregation

Value

In 2022, the world most traded Non-Knit Men's Coats, disaggragated by their HS6 level were Mens, boys anoraks etc, of manmade... ($14.7B), Mens, boys anoraks etc, of cotton,... ($2.33B), Mens, boys anoraks etc, of material... ($1.31B), Mens, boys overcoats of wool or... ($1.03B), and Mens, boys overcoats of manmade fibres,... ($96.8M)

HS6 Disaggregation for Non-Knit Men's Coats (2022)
[Click to Select]

Country Comparison

Flow
Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Non-Knit Men's Coats.
It is possible to select the main countries that export or import Non-Knit Men's Coats in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Non-Knit Men's Coats 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 Non-Knit Men's Coats 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)

Have questions, comments, or concerns?
Send us an e-mail: [email protected]
Follow @OECtoday on
Created, Designed, and Developed by:
In collaboration with