🌽 Cereals, rolled or flaked grains nes

This visualization shows trends on Cereals, rolled or flaked grains nes, displaying Trade Value indicator, which represents the total monetary value of traded goods during a period, reflecting the nominal worth of imports or exports.

Countries are shown based on data availability. For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

*Data was converted to USD using the exchange rates month.

In 2023, the leading exporters of Cereals, rolled or flaked grains nes were Belgium ($60.2M), France ($35.3M), and Germany ($24.5M).

In the same year, the main importers of Cereals, rolled or flaked grains nes were Netherlands ($64.1M), Ireland ($28.9M), and Germany ($19.9M).

The map shows the trade balance in Cereals, rolled or flaked grains nes for 2023. Colors represent the difference between each country’s export and import values. Shades of green indicate a trade surplus (exports largest than imports), while shades of red represent a trade deficit (imports largest than exports).

In 2023, the countries with the largest trade surpluses in Cereals, rolled or flaked grains nes were Belgium ($56.7M), France ($25.2M), and Canada ($11M).

Conversely, the countries with the largest trade deficits in Cereals, rolled or flaked grains nes were Netherlands (-$57.6M), Ireland (-$20.5M), and Cyprus (-$9.9M).

The map is color-coded to represent the percentage share of Cereals, rolled or flaked grains nes in each country's total exports. For example, a value of 10% indicates that 10% of a country’s total exports consist of Cereals, rolled or flaked grains nes. Darker shades highlight countries that rely more heavily on this product category for their export revenues.

In 2023, the countries with the highest share of Cereals, rolled or flaked grains nes in their export portfolios were Palestine (0.043%), Eswatini (0.043%), and Latvia (0.031%).

The Complexity-Relatedness diagram compares the risk and strategic value of potential export opportunities for a product. Relatedness measures the likelihood that an economy will expand its exports to a specific product, while complexity is associated with higher income levels, economic growth, reduced inequality, and lower emissions. In the chart, a rightward movement reflects a higher probability of exporting a new product, and an upward movement indicates an increase in the complexity of the territory's productive matrix.

*In the chart, the size of the circles is proportional to the volume of exports of the product in each country.

*Relative relatedness captures variation within each country, while absolute relatedness compares across countries.