HS Icon Railway Freight Cars

8606 (Harmonized System 1992 for 4-digit)

World Trade (2018): $3.86B, Rnk 575 / 1225

Top Exporter (2018): $1.3B, Mexico

Top Importer (2018): $1.44B, United States

Product Complexity (2018): 0.0061, Rnk 546 / 1018

Export Growth (CAGR)(2017 - 2018): 25.2%, Rnk 228 / 1225

Mean Tariff (2018): 7.22%, Rnk 605 / 1259

Share of World Trade (2018): 0.021%, Rnk 575 / 1225

Overview:  This page contains the latest trade data of Railway Freight Cars. In 2018, Railway Freight Cars were the world's 575th most traded product, with a total trade of $3.86B. Between 2017 and 2018 the exports of Railway Freight Cars grew by 25.2%, from  $3.08B to $3.86B. Trade in Railway Freight Cars represent 0.021% of total world trade.

Exports: In 2018 the top exporters of Railway Freight Cars  were Mexico ($1.3B), Slovakia ($379M), Russia ($346M), China ($329M), and United States ($306M).

Imports: In 2018 the top importers of Railway Freight Cars were United States ($1.44B), Germany ($436M), Canada ($318M), Kazakhstan ($228M), and Australia ($130M).

Tariffs: In 2018 the average tariff for Railway Freight Cars was 7.22%, been the 605 lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Railway Freight Cars are Bahamas (40.2%), Bermuda (25%), Maldives (24.5%), Ecuador (18.5%), and Zimbabwe (18.2%). The countries with the lowest tariffs are Angola (0%), Ethiopia (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).

Ranking: Railway Freight Cars ranks 546th in the Product Complexity Index (PCI).

Exporters and Importers

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Trade By Country

Top Origin (2018): Mexico, $1.3B

Top Destination (2018): United States, $1.44B

Railway Freight Cars are the world's 575th most traded product.

In 2018, the top exporters of Railway Freight Cars were Mexico ($1.3B), Slovakia ($379M), Russia ($346M), China ($329M), and United States ($306M).

In 2018, the top importers of Railway Freight Cars were United States ($1.44B), Germany ($436M), Canada ($318M), Kazakhstan ($228M), and Australia ($130M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2017 -  2018): Mexico, $261M

Top Destination Growth (2017 - 2018): United States, $298M

Between 2017 and 2018, the exports of Railway Freight Cars grew the fastest in Mexico ($261M), Poland ($159M), Slovakia ($150M), Canada ($107M), and United States ($102M).

Between 2017 and 2018, the fastest growing importers of Railway Freight Cars were United States ($298M), Canada ($200M), Kazakhstan ($117M), Germany ($112M), and Saudi Arabia ($83.9M).

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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 Railway Freight Cars.

In 2018,  market concentration measured using Shannon Entropy, was 3.51. This means that most of the exports of Railway Freight Cars are explained by 11 countries.

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TOP NET EXPORTER (2018): Mexico, $1.25B

TOP NET IMPORTER (2018): United States, $1.14B

This map shows which countries export or import more of Railway Freight Cars. Each country is colored based on the difference in exports and imports of Railway Freight Cars during 2018.

In 2018, the countries that had a largest trade value in exports than in imports of Railway Freight Cars were Mexico ($1.25B), Slovakia ($334M), China ($318M), Russia ($282M), and Poland ($180M).

In 2018, the countries that had a largest trade value in imports than in exports of Railway Freight Cars were United States ($1.14B), Germany ($374M), Kazakhstan ($205M), Australia ($130M), and Austria ($103M).

Trade Forecasts

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This section shows forecasts for total trade for Railway Freight Cars. The forecast is based in a long short-term memory model or LSTM constructed using yearly trade data.

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Import Tariffs

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In 2018, the average tariff for importing Railway Freight Cars was 7.22%.  The countries with the highest tariffs for importing Railway Freight Cars were Bahamas (40.2%), Bermuda (25%), Maldives (24.5%), Ecuador (18.5%), and Zimbabwe (18.2%).

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Product Complexity

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Diversification Frontier

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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.