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 4 February 2026
Metadata last updated 4 February 2026
Created 23 October 2023
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://tradestat.commerce.gov.in/meidb/country_wise_all_commodities_import
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 updated2025-10-01
Data retreival date2026-02-04
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
Size397.2 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 covered2015-2025
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/country_wise_all_commodities_import
Data Retreival Date 2026-02-04
Data Last Updated 2025-10-01
Sku mci-tradestat_import_lfy-cn-mn-asi
Dataset Frequency Monthly
Years Covered 2015-2025
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
Mapping Status %
Geo Columns []