HS Icon Parts of agricultural machinery

843390 (Harmonized System 1992 for 6-digit)

Overview:  This page contains the latest trade data of Parts of agricultural machinery. In 2019, Parts of agricultural machinery were the world's 579th most traded product, with a total trade of $5.43B. Between 2018 and 2019 the exports of Parts of agricultural machinery decreased by -6.34%, from $5.8B to $5.43B. Trade in Parts of agricultural machinery represent 0.03% of total world trade.

Exports: In 2019 the top exporters of Parts of agricultural machinery  were Germany ($770M), United States ($727M), China ($507M), Belgium ($404M), and Canada ($388M).

Imports: In 2019 the top importers of Parts of agricultural machinery were United States ($976M), Germany ($593M), France ($398M), United Kingdom ($286M), and Belgium ($250M).

Tariffs: In 2018 the average tariff for Parts of agricultural machinery was 3.99%, making it the 4979th lowest tariff using the HS6 product classification.

The countries with the highest import tariffs for Parts of agricultural machinery are Bahamas (31.2%), Maldives (19.6%), Malaysia (15%), Argentina (14.3%), and Brazil (14.3%). The countries with the lowest tariffs are Angola (0%), Kenya (0%), Mozambique (0%), Mauritius (0%), and Rwanda (0%).

Ranking: Parts of agricultural machinery ranks 1171st in the Product Complexity Index (PCI).

Description: A tractor is used to pull a plow to break up the land for planting. A tractor can also be used to pull a harrow to level out the land. A tractor can also pull a cultivator to turn the soil and break up any clumps. A tractor can also pull a planter to place seed in the ground.

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): Germany, $770M

Top Destination (2019): United States, $976M

Parts of agricultural machinery are the world's 579th most traded product.

In 2019, the top exporters of Parts of agricultural machinery were Germany ($770M), United States ($727M), China ($507M), Belgium ($404M), and Canada ($388M).

In 2019, the top importers of Parts of agricultural machinery were United States ($976M), Germany ($593M), France ($398M), United Kingdom ($286M), and Belgium ($250M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): Slovakia, $14.8M

Top Destination Growth (2018 - 2019): Algeria, $9.43M

Between 2018 and 2019, the exports of Parts of agricultural machinery grew the fastest in Slovakia ($14.8M), Israel ($9.27M), United Kingdom ($8.67M), Mexico ($4.43M), and Finland ($2.96M).

Between 2018 and 2019, the fastest growing importers of Parts of agricultural machinery were Algeria ($9.43M), China ($8.64M), Vietnam ($4.95M), Belarus ($3.8M), and Saudi Arabia ($3.53M).

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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 Parts of agricultural machinery.

In 2019,  market concentration measured using Shannon Entropy, was 4.36. This means that most of the exports of Parts of agricultural machinery are explained by 20 countries.

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TOP NET EXPORTER (2019): China, $395M

TOP NET IMPORTER (2019): United States, $249M

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

In 2019, the countries that had a largest trade value in exports than in imports of Parts of agricultural machinery were China ($395M), Hungary ($185M), Germany ($177M), Belgium ($154M), and Canada ($150M).

In 2019, the countries that had a largest trade value in imports than in exports of Parts of agricultural machinery were United States ($249M), Russia ($161M), United Kingdom ($157M), France ($149M), and Austria ($134M).

Import Tariffs

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In 2018, the average tariff for importing Parts of agricultural machinery was 3.99%. The countries with the highest tariffs for importing Parts of agricultural machinery were Bahamas (31.2%), Maldives (19.6%), Malaysia (15%), Argentina (14.3%), and Brazil (14.3%).

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.