Packaged Sewing Sets6308 (Harmonized System 1992 for 4-digit)
2020 World Trade: $104M, Rnk 1163 / 1217
2020 Top Exporter | Top Importer: $18.2M | $16M, China | United States
2019 - 2020 Export Growth (CAGR): -1.37%, Rnk 392 / 1217
2018 Mean Tariff: 16.8%, Rnk 147 / 1259
2020 Share of World Trade: 0.00062%, Rnk 1163 / 1217
Overview This page contains the latest trade data of Packaged Sewing Sets. In 2020, Packaged Sewing Sets were the world's 1163rd most traded product, with a total trade of $104M. Between 2019 and 2020 the exports of Packaged Sewing Sets decreased by -1.37%, from $106M to $104M. Trade in Packaged Sewing Sets represent 0.00062% of total world trade.
Packaged Sewing Sets are a part of Used clothes & textile articles. They include Woven fabric.
Exports In 2020 the top exporters of Packaged Sewing Sets were China ($18.2M), Italy ($13.8M), France ($6M), Belgium ($5.85M), and Bulgaria ($5.18M).
Imports In 2020 the top importers of Packaged Sewing Sets were United States ($16M), France ($9.55M), Germany ($5.93M), United Kingdom ($4.66M), and Tunisia ($4.26M).
Tariffs In 2018 the average tariff for Packaged Sewing Sets was 16.8%, making it the 147th lowest tariff using the HS4 product classification.
The following visualization shows the latest trends on Packaged Sewing Sets. Countries are shown based on data availability.
For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.
* Using January 2020 exchange rates when trade data is reported in local currency.
Trade By Country
Top Origin (2020): China, $18.2M
Top Destination (2020): United States, $16M
Packaged Sewing Sets are the world's 1163rd most traded product.
In 2020, the top exporters of Packaged Sewing Sets were China ($18.2M), Italy ($13.8M), France ($6M), Belgium ($5.85M), and Bulgaria ($5.18M).
In 2020, the top importers of Packaged Sewing Sets were United States ($16M), France ($9.55M), Germany ($5.93M), United Kingdom ($4.66M), and Tunisia ($4.26M).
Trade by country
Top Origin Growth (2019 - 2020): China, $6.32M
Top Destination Growth (2019 - 2020): United States, $5.01M
Between 2019 and 2020, the exports of Packaged Sewing Sets grew the fastest in China ($6.32M), Bulgaria ($4.43M), Vietnam ($1.47M), Belgium ($1.37M), and United States ($1.16M).
Between 2019 and 2020, the fastest growing importers of Packaged Sewing Sets were United States ($5.01M), France ($3.77M), Tunisia ($1.93M), Luxembourg ($1.34M), and Australia ($1.21M).
Cumulative market share
This chart shows the evolution of the market concentration of exports of Packaged Sewing Sets.
In 2020, market concentration measured using Shannon Entropy, was 4.6. This means that most of the exports of Packaged Sewing Sets are explained by 24 countries.
TOP NET EXPORTER (2020): China, $16.8M
TOP NET IMPORTER (2020): United States, $12.8M
This map shows which countries export or import more of Packaged Sewing Sets. Each country is colored based on the difference in exports and imports of Packaged Sewing Sets during 2020.
In 2020, the countries that had a largest trade value in exports than in imports of Packaged Sewing Sets were China ($16.8M), Italy ($11M), Bulgaria ($4.84M), Belgium ($4.23M), and Turkey ($3.59M).
In 2020, the countries that had a largest trade value in imports than in exports of Packaged Sewing Sets were United States ($12.8M), France ($3.55M), Australia ($3.4M), Tunisia ($3.25M), and Japan ($3.18M).
In 2020, the world most traded Packaged Sewing Sets, disaggragated by their HS6 level were Woven fabric ($104M)
This visualization shows the countries that have an important ratio of their trade related to Packaged Sewing Sets. It is possible to select the main countries that export or import Packaged Sewing Sets in the world, or by continent, as well as select the measure of interest.
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.
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