HS Icon Looms

8446 (Harmonized System 1992 for 4-digit)

Overview:  This page contains the latest trade data of Looms. In 2019, Looms were the world's 760th most traded product, with a total trade of $1.78B. Between 2018 and 2019 the exports of Looms decreased by -23.4%, from $2.32B to $1.78B. Trade in Looms represent 0.0098% of total world trade.

Exports: In 2019 the top exporters of Looms  were Japan ($453M), Belgium ($421M), China ($375M), Italy ($123M), and Germany ($83.8M).

Imports: In 2019 the top importers of Looms were India ($399M), China ($371M), Turkey ($126M), Vietnam ($101M), and Uzbekistan ($81.2M).

Tariffs: In 2018 the average tariff for Looms was 4.23%, making it the 949th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Looms are Bahamas (40.2%), Bermuda (25%), Maldives (19.6%), Cambodia (15%), and Romania (12.9%). The countries with the lowest tariffs are Angola (0%), Egypt (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).

Ranking: Looms ranks 210th in the Product Complexity Index (PCI).

Description: Weaving machines are used to make textiles. They can be made from a variety of materials, including wood, metal, and plastic.

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): Japan, $453M

Top Destination (2019): India, $399M

Looms are the world's 760th most traded product.

In 2019, the top exporters of Looms were Japan ($453M), Belgium ($421M), China ($375M), Italy ($123M), and Germany ($83.8M).

In 2019, the top importers of Looms were India ($399M), China ($371M), Turkey ($126M), Vietnam ($101M), and Uzbekistan ($81.2M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): United States, $20.7M

Top Destination Growth (2018 - 2019): Saudi Arabia, $22.2M

Between 2018 and 2019, the exports of Looms grew the fastest in United States ($20.7M), Turkey ($4.75M), Czechia ($4.72M), Malaysia ($4.35M), and Thailand ($3.37M).

Between 2018 and 2019, the fastest growing importers of Looms were Saudi Arabia ($22.2M), Chinese Taipei ($11.7M), Uzbekistan ($8.67M), Brazil ($6.69M), and Nicaragua ($3.87M).

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Market Concentration

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Cumulative market share

This chart shows the evolution of the market concentration of exports of Looms.

In 2019,  market concentration measured using Shannon Entropy, was 3.16. This means that most of the exports of Looms are explained by 8 countries.

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TOP NET EXPORTER (2019): Japan, $439M

TOP NET IMPORTER (2019): India, $357M

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

In 2019, the countries that had a largest trade value in exports than in imports of Looms were Japan ($439M), Belgium ($418M), Italy ($99.2M), Germany ($72.8M), and Switzerland ($52.4M).

In 2019, the countries that had a largest trade value in imports than in exports of Looms were India ($357M), Vietnam ($101M), Turkey ($99.6M), Uzbekistan ($81.1M), and Pakistan ($67.4M).

Disaggregation

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Value

In 2019, the world most traded Looms, disaggragated by their HS6 level were Shuttle-less looms for weaving fabric >30cm... ($1.45B), Machines for weaving fabric, width <... ($114M), Shuttle type power loom for weaving... ($113M), and Shuttle type looms nes for weaving... ($101M)

Import Tariffs

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In 2018, the average tariff for importing Looms was 4.23%. The countries with the highest tariffs for importing Looms were Bahamas (40.2%), Bermuda (25%), Maldives (19.6%), Cambodia (15%), and Romania (12.9%).

Product Complexity

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Diversification Frontier

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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.

Country by Relatedness

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