Tokyo

Prefecture in Kantō Region of Japan

Exports (2019): ¥ 6.17T, Rnk 5 / 41

Top Destination (2019): ¥ 1.76T, United States

Top Export (2019): ¥ 690B, Commodities not specified according to kind

Imports (2019): ¥ 12.7T, Rnk 2 / 41

Top Origin (2019): ¥ 4.49T, China

Top Import (2019): ¥ 382B, Fixed wing aircraft, unladen weight >...

Economic Complexity (2019): 0.76, Rnk 7 / 41

Exports: In 2019, Japan's Tokyo exported ¥ 6.17T, making it the 5th largest exporter out of the 41 exporters in Japan.

In 2019 the top exports of Tokyo were Commodities not specified according to kind (¥ 690B), Printing machinery: parts and accessories, n.e.c.... (¥ 311B), Machines and apparatus of a kind... (¥ 224B), Machines and apparatus of a kind... (¥ 129B), and Parts for spark-ignition engines except aircraft (¥ 112B).

Imports: In 2019, Japan's Tokyo imported ¥ 12.7T, making it the 2nd largest importer out of the 41 importers in Japan.

In 2019 top imports of Tokyo were Fixed wing aircraft, unladen weight >... (¥ 382B), Automatic data processing machines: portable, weighing... (¥ 270B), Electronic integrated circuits: n.e.c. in heading... (¥ 217B), Cigarettes containing tobacco (¥ 162B), and Tricycles, scooters, pedal cars and similar... (¥ 158B).

Economic Complexity: In 2019, the highest complexity exports of Tokyo according to the product complexity index (PCI) are Developed Exposed Photographic Material (2.52), Metalworking Transfer Machines (2.43), Disc Chemicals for Electronics (2.25), Photographic Chemicals (2.17), and Non-Mechanical Removal Machinery (2.04). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Value
Depth

Top Destination (2019): United States, ¥ 1.76T

Top Product (2019): Commodities not specified according to kind, ¥ 690B

In 2019 the top export destinations of Tokyo were United States (¥ 1.76T), China (¥ 1.12T), Chinese Taipei (¥ 367B), Hong Kong (¥ 350B), and Singapore (¥ 313B).

In 2019 the top exports of Tokyo were Commodities not specified according to kind (¥ 690B), Printing machinery: parts and accessories, n.e.c.... (¥ 311B), Machines and apparatus of a kind... (¥ 224B), Machines and apparatus of a kind... (¥ 129B), and Parts for spark-ignition engines except aircraft (¥ 112B).

Export Dynamics

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Fastest Growing Exports Destination (March 2019 - March 2020)

Rapidly Declining Export Origins (March 2019 - March 2020)

Value
Depth

Top Origin (2019): China, ¥ 4.49T

Top Import (2019): Fixed wing aircraft, unladen weight >..., ¥ 382B

In 2019 the top import origins of Tokyo were China (¥ 4.49T), United States (¥ 1.51T), Vietnam (¥ 685B), Thailand (¥ 609B), and Chinese Taipei (¥ 575B).

In 2019 the top imports of Tokyo were Fixed wing aircraft, unladen weight >... (¥ 382B), Automatic data processing machines: portable, weighing... (¥ 270B), Electronic integrated circuits: n.e.c. in heading... (¥ 217B), Cigarettes containing tobacco (¥ 162B), and Tricycles, scooters, pedal cars and similar... (¥ 158B).

Import Dynamics

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Fastest Growing Import Origins (March 2019 - March 2020)

Rapidly Declining Import Origins (March 2019 - March 2020)

Comparison in Time

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Flow
Value

This section shows differences between total trade from Tokyo throughout time.

Comparison Map

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Value

The prefectures of Japan with the highest exports in 2019 were Aichi (¥ 16T), Chiba (¥ 11.5T), Osaka (¥ 9.49T), Kanagawa (¥ 8.2T), and Tokyo (¥ 6.17T)

The prefectures of Japan with the highest imports in 2019 were Chiba (¥ 17.1T), Tokyo (¥ 12.7T), Osaka (¥ 10.2T), Kanagawa (¥ 7.28T), and Aichi (¥ 7.22T)

This section shows a prediction for total exports and imports from Tokyo. The Prediction is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Predictions

Economic Complexity

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Economic Complexity of Japan

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Tokyo ranks 7th out of the 41 prefectures in Japan according to ECI.

Estimated using exports data.

Economic Complexity Ranking

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Scale

The economic complexity of a territory can change year to year. Tokyo it is in position 7th considering its ECI in the last year.

Export Opportunities by Relatedness

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The top export opportunities according to the relatedness level, without considering those products were Tokyo already has a comparative advantage, are led by Cermets (0.35), Photo Lab Equipment (0.35), Electrical Parts (0.35), Integrated Circuits (0.35), and Microscopes (0.34).

Most Complex Products by PCI

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The highest complexity exports of Tokyo according to the product complexity index (PCI) are Developed Exposed Photographic Material (2.52), Metalworking Transfer Machines (2.43), Disc Chemicals for Electronics (2.25), Photographic Chemicals (2.17), and Non-Mechanical Removal Machinery (2.04). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Most Specialized Products by RCA Index

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The most specialized products according to the RCA index are led by Oxometallic or Peroxometallic Acid Salts (51.3), Photographic Chemicals (25.4), Watch Movements (21.9), Disc Chemicals for Electronics (17.3), and Industrial Printers (17.3).

The product space is a network connecting products that are likely to be co-exported. The product space can be used to predict future exports, since Tokyo is more likely to start exporting products that are related to current exports. Relatedness measures the distance between a product, and all of the products it is currently specialized in.

Relatedness Space

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This network shows the products most related to the production structure of  Tokyo. These are products that tend to be co-exported with the products that Tokyo exports. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.

Diversification Frontier

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Filter
Depth

The Complexity-Relatedness diagram compares the risk and the strategic value of a territory's potential export oppotunities. Relatedness is a predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth, less income inequality, and lower emissions.