HS Icon Used Clothing

6309 (Harmonized System 1992 for 4-digit)

 2019
World Trade
: $4.46B, Rnk 530 / 1217

2019
Top Exporter | Top Importer
: $720M | $203M, United States | Ukraine

2019
Product Complexity
: -0.46, Rnk 654 / 961

2018 - 2019
Export Growth (CAGR)
: -1.35%, Rnk 497 / 1217

2018
Mean Tariff
: 19.2%, Rnk 123 / 1259

 2019
Share of World Trade
: 0.025%, Rnk 530 / 1217

Overview:  This page contains the latest trade data of Used Clothing. In 2019, Used Clothing were the world's 530th most traded product, with a total trade of $4.46B. Between 2018 and 2019 the exports of Used Clothing decreased by -1.35%, from  $4.52B to $4.46B. Trade in Used Clothing represent 0.025% of total world trade.

Exports: In 2019 the top exporters of Used Clothing  were United States ($720M), United Kingdom ($496M), Germany ($379M), China ($372M), and South Korea ($312M).

Imports: In 2019 the top importers of Used Clothing were Ukraine ($203M), Pakistan ($189M), Ghana ($168M), Kenya ($165M), and United Arab Emirates ($151M).

Tariffs: In 2018 the average tariff for Used Clothing was 19.2%, making it the 123rd lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Used Clothing are Iran (100%), New Zealand (97.3%), Vietnam (96.2%), Syria (46%), and South Africa (45.5%). The countries with the lowest tariffs are Ethiopia (0%), Mauritius (0%), Rwanda (0%), Hong Kong (0%), and Sri Lanka (0%).

Ranking: Used Clothing ranks 654th in the Product Complexity Index (PCI).

Exporters and Importers

#permalink to section

Trade By Country

Top Origin (2019): United States, $720M

Top Destination (2019): Ukraine, $203M

Used Clothing are the world's 530th most traded product.

In 2019, the top exporters of Used Clothing were United States ($720M), United Kingdom ($496M), Germany ($379M), China ($372M), and South Korea ($312M).

In 2019, the top importers of Used Clothing were Ukraine ($203M), Pakistan ($189M), Ghana ($168M), Kenya ($165M), and United Arab Emirates ($151M).

Explore Visualizations

Market Dynamics

#permalink to section

Trade by country

Value

Top Origin Growth (2018 -  2019): China, $44M

Top Destination Growth (2018 - 2019): China, $34.2M

Between 2018 and 2019, the exports of Used Clothing grew the fastest in China ($44M), Turkey ($35.9M), United States ($14.2M), Poland ($7.65M), and South Korea ($6.26M).

Between 2018 and 2019, the fastest growing importers of Used Clothing were China ($34.2M), United Arab Emirates ($22.2M), Syria ($14M), Germany ($11.5M), and Guatemala ($11.3M).

Explore Visualizations

Market Concentration

#permalink to section

Cumulative market share

This chart shows the evolution of the market concentration of exports of Used Clothing.

In 2019,  market concentration measured using Shannon Entropy, was 4.59. This means that most of the exports of Used Clothing are explained by 24 countries.

Explore Visualizations

TOP NET EXPORTER (2019): United States, $706M

TOP NET IMPORTER (2019): Ukraine, $202M

This map shows which countries export or import more of Used Clothing. Each country is colored based on the difference in exports and imports of Used Clothing during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Used Clothing were United States ($706M), United Kingdom ($449M), China ($335M), Germany ($326M), and South Korea ($288M).

In 2019, the countries that had a largest trade value in imports than in exports of Used Clothing were Ukraine ($202M), Kenya ($164M), Ghana ($152M), Russia ($134M), and Nigeria ($133M).

Disaggregation

#permalink to section
Value

In 2019, the world most traded Used Clothing, disaggragated by their HS6 level were Worn clothing and other worn articles ($4.46B)

Import Tariffs

#permalink to section

In 2018, the average tariff for importing Used Clothing was 19.2%.  The countries with the highest tariffs for importing Used Clothing were Iran (100%), New Zealand (97.3%), Vietnam (96.2%), Syria (46%), and South Africa (45.5%).

Explore Tariff Data

Product Complexity

#permalink to section

Diversification Frontier

#permalink to section
Filter

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.