Export Database of Russia Exports Under HS Code 848420 to Turkmenistan

Russia’s customs export data under HS Code 848420 provides detailed insights into the exports of products of HS Code 848420 to Turkmenistan. This data highlights key information such as the Shipment date, trade value, product specifications, quantity, origin port in russia, destination port in Turkmenistan and the names of Vietnamese exporting companies. By analyzing this data, businesses can track trade volumes, assess pricing trends, identify top companies, and monitor the flow of products exported under the HS code 848420, from Russia to Turkmenistan

Monthly and Annual Russia Export Trends of HS 848420

Date

HS Code

Product Description

Destination Country

Customs

QTY.

Unit

Value($)

Exporter Name

April 12, 2024

8484200000

MECHANICAL SEALS FOR TRUCKS:

TURKMENISTAN PRIVOLZHSKY CUSTOMS POST

7642

pcs

645893.94

Exporter Name

Shipment No. 1

Date

2024-04-12 00:00:00

HS CODE

Product Description

MECHANICAL SEALS FOR TRUCKS:

Origin Country

Customs

QTY

7642

Unit

pcs

Weight

645893.94

Exporter Name

FAQs With Answers

It includes export date, trade value, product specifications, quantity, origin port in Turkmenistan, destination port in Russia, detailed information about exporting companies, and more.

By studying this data, businesses can assess pricing trends, track trade volumes, identify major exporters, and understand the flow of goods under HS code 848420 entering Russia from Turkmenistan.

HS Code 848420 covers a wide range of products. Analyzing exports under this code helps businesses understand market demand, supply patterns, and the competitiveness of exported products in Russia.

Yes. The data highlights both the origin ports in Turkmenistan and the destination ports in Russia, providing deeper insights into trade flow patterns for products under HS code 848420.

Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.

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