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845691 (Harmonized System 1996 for 6-digit)

2018
World Trade $1.35kRnk 4888 / 4951
2018
Top Exporter | Top Importer $1.22k | $1.35kChina | Timor-Leste
2018
Product Complexity 3.37Rnk 3 / 5036
2017 - 2018
Export Growth (CAGR) -9.18%Rnk 4390 / 4951
2018
Share of World Trade <0.01%Rnk 4888 / 4951

About

Overview This page contains the latest trade data of Machine tools for dry-etching patterns on semiconductor materials. In 2018, Machine tools for dry-etching patterns on semiconductor materials were the world's 4888th most traded product, with a total trade of $1.35k. Between 2017 and 2018 the exports of Machine tools for dry-etching patterns on semiconductor materials decreased by -9.18%, from $1.48k to $1.35k. Trade in Machine tools for dry-etching patterns on semiconductor materials represent 7.1e-9% of total world trade.

Machine tools for dry-etching patterns on semiconductor materials are a part of Machine-tools; for working any material by removal of material, by laser or....

Exports In 2018 the top exporters of Machine tools for dry-etching patterns on semiconductor materials  were China ($1.22k) and Indonesia ($127).

Imports In 2018 the top importers of Machine tools for dry-etching patterns on semiconductor materials were Timor-Leste ($1.35k).

Ranking Machine tools for dry-etching patterns on semiconductor materials ranks 3rd in the Product Complexity Index (PCI).

Latest Trends

Latest Data

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The following visualization shows the latest trends on Machine tools for dry-etching patterns on semiconductor materials. Countries are shown based on data availability.

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

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* 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 (2018)China$1.22k
Top Destination (2018)Timor-Leste$1.35k

In 2018 Machine tools for dry-etching patterns on semiconductor materials were the world's 4888th most traded product (out of 4,951).

In 2018, the top exporters of Machine tools for dry-etching patterns on semiconductor materials were China ($1.22k) and Indonesia ($127).

In 2018, the top importers of Machine tools for dry-etching patterns on semiconductor materials were Timor-Leste ($1.35k).

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Exporters of Machine tools for dry-etching patterns on semiconductor materials (2018)
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Importers of Machine tools for dry-etching patterns on semiconductor materials (2018)
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Market Dynamics

Color

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Exporters of Machine tools for dry-etching patterns on semiconductor materials (2017 - 2018)

Importers of Machine tools for dry-etching patterns on semiconductor materials (2017 - 2018)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Machine tools for dry-etching patterns on semiconductor materials.

In 2018, market concentration measured using Shannon Entropy, was 0.45. This means that most of the exports of Machine tools for dry-etching patterns on semiconductor materials are explained by 1 countries.

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Value of Exports in Machine tools for dry-etching patterns on semiconductor materials

Net Trade

This map shows which countries export or import more of Machine tools for dry-etching patterns on semiconductor materials. Each country is colored based on the difference in exports and imports of Machine tools for dry-etching patterns on semiconductor materials during 2018.

Net Trade (2018)

Country Comparison

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Measure
Ranking

This visualization shows the countries that have an important ratio of their trade related to Machine tools for dry-etching patterns on semiconductor materials.
It is possible to select the main countries that export or import Machine tools for dry-etching patterns on semiconductor materials in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Machine tools for dry-etching patterns on semiconductor materials 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 (2018)

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