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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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Flow
Y-AXIS SCALE

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

Flow
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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