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440611 (Harmonized System 2017 for 6-digit)

2022
World Trade $28MRnk 5051 / 5380
2022
Top Exporter | Top Importer $7.13M | $16.1MLatvia | Netherlands
2022
Product Complexity -0.16Rnk 3200 / 5381
2021 - 2022
Export Growth (CAGR) -0.64%Rnk 3593 / 5380
2022
Share of World Trade 0.00012%Rnk 5051 / 5380

About

Overview This page contains the latest trade data of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous. In 2022, Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were the world's 5051st most traded product, with a total trade of $28M. Between 2021 and 2022 the exports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous decreased by -0.64%, from $28.2M to $28M. Trade in Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous represent 0.00012% of total world trade.

Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous are a part of Railway or tramway sleepers (cross-ties) of wood.

Exports In 2022 the top exporters of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous  were Latvia ($7.13M), Lithuania ($3.74M), Poland ($2.85M), Sweden ($2.41M), and Russia ($1.59M).

Imports In 2022 the top importers of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Netherlands ($16.1M), Finland ($3.52M), Poland ($1.52M), Kazakhstan ($1.37M), and Georgia ($1.2M).

Ranking Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous ranks 3200th in the Product Complexity Index (PCI).

Latest Trends

Latest Data

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Flow
Y-AXIS SCALE

The following visualization shows the latest trends on Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

Explore Latest Trends

* Trade values are converted to USD using each month's exchange rate. For December 2023 data, the exchange rate from December 30, 2023 is used.

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Historical Data

Exporters and Importers

Top Origin (2022)Latvia$7.13M
Top Destination (2022)Netherlands$16.1M

In 2022 Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were the world's 5051st most traded product (out of 5,380).

In 2022, the top exporters of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Latvia ($7.13M), Lithuania ($3.74M), Poland ($2.85M), Sweden ($2.41M), and Russia ($1.59M).

In 2022, the top importers of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Netherlands ($16.1M), Finland ($3.52M), Poland ($1.52M), Kazakhstan ($1.37M), and Georgia ($1.2M).

Explore Visualizations

Exporters of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous (2022)
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Importers of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous (2022)
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Market Dynamics

Color
Top Origin Growth (2021 -  2022)Belgium$1.44M
Top Destination Growth (2021 -  2022)Netherlands$2.51M

Between 2021 and 2022, the exports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous grew the fastest in Belgium ($1.44M), Belarus ($1.29M), Russia ($1.2M), Poland ($964k), and Sweden ($754k).

Between 2021 and 2022, the fastest growing importers of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Netherlands ($2.51M), Georgia ($1.2M), Kazakhstan ($1.18M), Poland ($1.04M), and Egypt ($354k).

Explore Visualizations

Exporters of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous (2021 - 2022)

Importers of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous.

In 2022, market concentration measured using Shannon Entropy, was 3.72. This means that most of the exports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous are explained by 13 countries.

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Value of Exports in Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous

Net Trade

TOP NET EXPORTER (2022)Latvia$7.12M
TOP NET IMPORTER (2022)Netherlands$15.7M

This map shows which countries export or import more of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous. Each country is colored based on the difference in exports and imports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous during 2022.

In 2022, the countries that had a largest trade value in exports than in imports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Latvia ($7.12M), Lithuania ($3.64M), Sweden ($2.34M), Russia ($1.59M), and Poland ($1.33M).

In 2022, the countries that had a largest trade value in imports than in exports of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous were Netherlands ($15.7M), Finland ($3.38M), United Kingdom ($693k), Czechia ($432k), and Egypt ($353k).

Net Trade (2022)

Country Comparison

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Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous.
It is possible to select the main countries that export or import Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Wood; railway or tramway sleepers (cross-ties), not impregnated, coniferous by percentage of total exports

Product Complexity

Diversification Frontier

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.

Relatedness vs Country Complexity (2022)

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