Data Dictionary

ID
id
Type
int4
Label
index

ID
date
Type
date
Label
Date

ID
country_name
Type
text
Label
Country Name

ID
alpha_3_code
Type
text
Label
ISO Alpha 3 Code

ID
country_code
Type
text
Label
Country Code

ID
region
Type
text
Label
Region Name

ID
region_code
Type
text
Label
Region Code

ID
sub_region
Type
text
Label
Sub-Region Name

ID
sub_region_code
Type
text
Label
Sub-Region Code

ID
hs_code
Type
text
Label
Harmonized System Code

ID
commodity
Type
text
Label
Commodity Name

ID
unit
Type
text
Label
Unit of Quantity

ID
value_qt
Type
numeric
Label
Quantity of commodity

ID
value_rs
Type
numeric
Label
Value of commodity quantity in INR

ID
value_dl
Type
numeric
Label
Value of commodity quantity in US Dollars

Additional Information

Field Value
Data last updated May 8, 2025
Metadata last updated May 8, 2025
Created October 23, 2023
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i
Data insightsData Insights that can be drawn: Trend Analysis: Examine the trends in imports from various Asian countries over time, analyzing seasonalities or growth trajectories. Trade Balances: Determine which commodities and countries contribute most significantly to the trade volume and value. Currency Analysis: Compare the value of commodities in USD vs. INR to deduce any significant currency fluctuations or patterns. Product Classification: Utilizing the HS code, identify the most commonly traded commodities or products and their relative contributions to total imports. Quantity vs. Value Analysis: Analyze whether there's a correlation between the quantity of a commodity and its value, understanding the commodities that offer high value despite low quantities and vice versa.
Data last updated2024-10-01
Data retreival date2025-05-08
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id31e441c8-5767-4209-a7ef-dca32aff64a8
Idp readyTrue
Lgd mappingna
MethodologyThe data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data.
Mimetypetext/csv
No indicators3
Package id0e64447e-7e57-4e17-ac2a-6b86944abfb2
Position3
Size355.5 MiB
Skumci-tradestat_import_lfy-cn-mn-asi
Stateactive
Tags['Trade Statistics', 'Asian Trade', 'Commodities', 'Harmonized System', 'Trade Value', 'Import Quantity', 'Currency Analysis']
Url typeupload
Years covered2017-2024
Methodology The data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data.
Indicators
Similar Resources
Granularity Level Country
Data Extraction Page https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i
Data Retreival Date 2025-05-08
Data Last Updated 2024-10-01
Sku mci-tradestat_import_lfy-cn-mn-asi
Dataset Frequency Monthly
Years Covered 2017-2024
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 3
Insights from the dataset Data Insights that can be drawn: Trend Analysis: Examine the trends in imports from various Asian countries over time, analyzing seasonalities or growth trajectories. Trade Balances: Determine which commodities and countries contribute most significantly to the trade volume and value. Currency Analysis: Compare the value of commodities in USD vs. INR to deduce any significant currency fluctuations or patterns. Product Classification: Utilizing the HS code, identify the most commonly traded commodities or products and their relative contributions to total imports. Quantity vs. Value Analysis: Analyze whether there's a correlation between the quantity of a commodity and its value, understanding the commodities that offer high value despite low quantities and vice versa.
IDP Ready Yes
LGD Mapping Not Applicable