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Export of 건조 병아리콩 from 러시아
건조 병아리콩 is categorized under HS code 071320 - Vegetables, leguminous; chickpeas (garbanzos), shelled, whether or not skinned or split, dried, and the data is presented accordingly.
Export overview
As of 2021, 러시아 ranked #3 in global exports of 건조 병아리콩. 러시아 accounts for approximately 10.59% of the total global export value of 건조 병아리콩, with an export value of 166,615,212 USD.
The top countries importing 건조 병아리콩 from 러시아 include 세계, 튀르키예, 파키스탄, 이집트, 아랍 에미리트 연합국.
Export trend
러시아's export value of 건조 병아리콩 has increased by 25.73% over the past 5 years, rising from 132,520,883 USD in 2017 to 166,615,212 USD in 2021.
The export data for 러시아 건조 병아리콩 is sourced from UN Comtrade and official Customs databases of various countries. The data is categorized under the Harmonized System (HS) code 071320 - Vegetables, leguminous; chickpeas (garbanzos), shelled, whether or not skinned or split, dried, which covers a specific classification for 건조 병아리콩 and related products in international trade.
It's important to note that the HS code classification may not always perfectly match the definition of 건조 병아리콩 in certain markets, as HS codes often encompass a broader range of similar products.
SP HEAD OF PEASANT FARM YASYNOVY ALEXANDER ALEKSANDROVICH
러시아
AGRO GRANT
러시아
СУДОХОДНАЯ КОМПАНИЯ МЕРИДИАН
러시아
SP RUSTAMOV MEKHMAN SADULA OGLOU
러시아
ARMA
러시아
Major importers of 러시아 건조 병아리콩 in 2024
ФИРМАБАБЕК
아제르바이잔
ALIYEV ANVER GUSEYNBALA OGLOU OF
러시아
LEVON GROUP
아르메니아
BAXMAL ORGANIC NUT TRADE МЧЖ
우즈베키스탄
RG TRADE
조지아
Historical export price trends
The export price of 건조 병아리콩 from 러시아 has experienced a downward trend over the past 2 years. In 2023, the price fluctuated between 0.20 USD per kg and 1.18 USD per kg, but in 2024, it decreased to a range of 0.20 USD per kg to 0.94 USD per kg.
Year
Year
Low price
Low price
High price
High price
2022
$0.09/kg
$1.21/kg
2023
$0.20/kg
$1.18/kg
2024
$0.20/kg
$0.94/kg
The export transaction data for 러시아 건조 병아리콩 is sourced from Bill of Lading (B/L) documents and customs reports. Tridge ensures data accuracy through human oversight and AI, handling missing values, outliers, and standardizing currencies and units. Note that price trends may vary based on country, product variety, or timeframe.
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