HS Icon Armored vehicles

8710 (Harmonized System 1992 for 4-digit)

Overview This page contains the latest trade data of Armored vehicles. In 2019, Armored vehicles were the world's 443rd most traded product, with a total trade of $6.35B. Between 2018 and 2019 the exports of Armored vehicles grew by 22.9%, from $5.17B to $6.35B. Trade in Armored vehicles represent 0.035% of total world trade.

Exports In 2019 the top exporters of Armored vehicles  were Canada ($2.09B), United States ($863M), Belgium ($853M), Germany ($380M), and Switzerland ($311M).

Imports In 2019 the top importers of Armored vehicles were Saudi Arabia ($1.87B), Canada ($966M), Indonesia ($374M), United States ($309M), and Australia ($268M).

Tariffs In 2018 the average tariff for Armored vehicles was 5.95%, making it the 709th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Armored vehicles are Bermuda (35%), Maldives (34.2%), Fiji (31.1%), Ecuador (27.6%), and Romania (25.7%). The countries with the lowest tariffs are Angola (0%), Algeria (0%), Egypt (0%), Ethiopia (0%), and Kenya (0%).

Ranking Armored vehicles ranks 633rd in the Product Complexity Index (PCI).

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): Canada, $2.09B

Top Destination (2019): Saudi Arabia, $1.87B

Armored vehicles are the world's 443rd most traded product.

In 2019, the top exporters of Armored vehicles were Canada ($2.09B), United States ($863M), Belgium ($853M), Germany ($380M), and Switzerland ($311M).

In 2019, the top importers of Armored vehicles were Saudi Arabia ($1.87B), Canada ($966M), Indonesia ($374M), United States ($309M), and Australia ($268M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): Canada, $807M

Top Destination Growth (2018 - 2019): Saudi Arabia, $781M

Between 2018 and 2019, the exports of Armored vehicles grew the fastest in Canada ($807M), Belgium ($291M), Brazil ($240M), Switzerland ($174M), and Germany ($87.4M).

Between 2018 and 2019, the fastest growing importers of Armored vehicles were Saudi Arabia ($781M), Indonesia ($274M), Canada ($259M), Botswana ($120M), and Romania ($97M).

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Market Concentration

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Cumulative market share

Value

This chart shows the evolution of the market concentration of exports of Armored vehicles.

In 2019,  market concentration measured using Shannon Entropy, was 3.55. This means that most of the exports of Armored vehicles are explained by 11 countries.

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TOP NET EXPORTER (2019): Canada, $1.12B

TOP NET IMPORTER (2019): Saudi Arabia, $1.87B

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

In 2019, the countries that had a largest trade value in exports than in imports of Armored vehicles were Canada ($1.12B), Belgium ($675M), United States ($554M), Germany ($283M), and France ($204M).

In 2019, the countries that had a largest trade value in imports than in exports of Armored vehicles were Saudi Arabia ($1.87B), Indonesia ($373M), Australia ($259M), Egypt ($148M), and Thailand ($122M).

Disaggregation

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Value

In 2019, the world most traded Armored vehicles, disaggragated by their HS6 level were Tanks and other armoured fighting vehicles ($6.35B)

Import Tariffs

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In 2018, the average tariff for importing Armored vehicles was 5.95%. The countries with the highest tariffs for importing Armored vehicles were Bermuda (35%), Maldives (34.2%), Fiji (31.1%), Ecuador (27.6%), and Romania (25.7%).

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 Armored vehicles to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.