Omsk Region

Federal subject in Russia

Exports (2019): $647M, Rnk 46 / 85

Top Destination (2019): $158M, Kazakhstan

Top Export (2019): $131M, Carbon (carbon blacks and other forms...

Imports (2019): $330M, Rnk 44 / 85

Top Origin (2019): $110M, Kazakhstan

Top Import (2019): $44.8M, Bearings, cylindrical roller, nes

Economic Complexity (2019): 0.0071, Rnk 19 / 85

Exports: In 2019, Russia's Omsk Region exported $647M, making it the 46th largest exporter out of the 85 exporters in Russia.

In 2019 the top exports of Omsk Region were Carbon (carbon blacks and other forms... ($131M), Commodities not specified according to kind ($121M), Acyclic ethers nes, derivatives of acyclic... ($31.9M), Saturated acyclic hydrocarbons ($29.6M), and Styrene-butadiene rubber (SBR/XSBR) except latex ($17.1M).

Imports: In 2019, Russia's Omsk Region imported $330M, making it the 44th largest importer out of the 85 importers in Russia.

In 2019 top imports of Omsk Region were Bearings, cylindrical roller, nes ($44.8M), Heat exchange units, non-domestic, non-electric ($16.4M), Milk not concentrated nor sweetened 1-6%... ($11M), Coal tar distillation products nes ($9.62M), and Ethylene, propylene, butylene, butadiene, liquefied ($7.17M).

Economic Complexity: In 2019, the highest complexity exports of Omsk Region according to the product complexity index (PCI) are Other Measuring Instruments (1.44), Other Electrical Machinery (1.36), Synthetic Rubber (1.14), Iron Pipe Fittings (0.96), and Audio Alarms (0.93). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Value
Depth

Top Destination (2019): Kazakhstan, $158M

Top Product (2019): Carbon (carbon blacks and other forms..., $131M

In 2019 the top export destinations of Omsk Region were Kazakhstan ($158M), Saudi Arabia ($122M), Poland ($41.4M), China ($40.5M), and Netherlands ($34.2M).

In 2019 the top exports of Omsk Region were Carbon (carbon blacks and other forms... ($131M), Commodities not specified according to kind ($121M), Acyclic ethers nes, derivatives of acyclic... ($31.9M), Saturated acyclic hydrocarbons ($29.6M), and Styrene-butadiene rubber (SBR/XSBR) except latex ($17.1M).

Export Dynamics

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Fastest Growing Exports Destination (February 2019 - February 2020)

Rapidly Declining Export Origins (February 2019 - February 2020)

Value
Depth

Top Origin (2019): Kazakhstan, $110M

Top Import (2019): Bearings, cylindrical roller, nes, $44.8M

In 2019 the top import origins of Omsk Region were Kazakhstan ($110M), China ($42.7M), Germany ($29.6M), Belarus ($19.2M), and Italy ($16M).

In 2019 the top imports of Omsk Region were Bearings, cylindrical roller, nes ($44.8M), Heat exchange units, non-domestic, non-electric ($16.4M), Milk not concentrated nor sweetened 1-6%... ($11M), Coal tar distillation products nes ($9.62M), and Ethylene, propylene, butylene, butadiene, liquefied ($7.17M).

Import Dynamics

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Fastest Growing Import Origins (February 2019 - February 2020)

Rapidly Declining Import Origins (February 2019 - February 2020)

Comparison in Time

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Flow
Value

This section shows differences between total trade from OMSK REGION throughout time.

Comparison Map

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Value

The federal subjects of Russia with the highest exports in 2019 were Moscow, The Capital Of Russian Federation ($142B), St. Petersburg ($19.6B), Khanty-mansiysk Autonomous Area ($13.9B), Sakhalin Region ($11.3B), and Kemerovo Region ($10.9B)

The federal subjects of Russia with the highest imports in 2019 were Moscow, The Capital Of Russian Federation ($78B), Moscow Region ($20.1B), St. Petersburg ($17.3B), Kaliningrad Region ($5.68B), and Kaluga Region ($4.92B)

This section shows a prediction for total exports and imports from OMSK REGION. 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 Russia

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Omsk Region ranks 19th out of the 85 federal subjects in Russia 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. Omsk Region it is in position 19th 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 Omsk Region already has a comparative advantage, are led by Nitrogenous Fertilizers (0.091), Bran (0.09), Rough Wood (0.089), Raw Iron Bars (0.088), and Other Vegetable Residues (0.088).

Most Complex Products by PCI

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The highest complexity exports of Omsk Region according to the product complexity index (PCI) are Other Measuring Instruments (1.44), Other Electrical Machinery (1.36), Synthetic Rubber (1.14), Iron Pipe Fittings (0.96), and Audio Alarms (0.93). 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 Carbon (839), Linseed (523), Ethers (62.5), Rapeseed Oil (59.1), and Barley (57).

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 Omsk Region 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  Omsk Region. These are products that tend to be co-exported with the products that Omsk Region 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.