Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
date
Typ
date
Etikett
Date

ID
country_name
Typ
text
Etikett
Country Name

ID
alpha_3_code
Typ
text
Etikett
ISO Alpha 3 Code

ID
country_code
Typ
text
Etikett
Country Code

ID
region
Typ
text
Etikett
Region Name

ID
region_code
Typ
text
Etikett
Region Code

ID
sub_region
Typ
text
Etikett
Sub-Region Name

ID
sub_region_code
Typ
text
Etikett
Sub-Region Code

ID
hs_code
Typ
text
Etikett
Harmonized System Code

ID
commodity
Typ
text
Etikett
Commodity Name

ID
unit
Typ
text
Etikett
Unit of Quantity

ID
value_qt
Typ
numeric
Etikett
Quantity of commodity

ID
value_rs
Typ
numeric
Etikett
Value of commodity quantity in INR

ID
value_dl
Typ
numeric
Etikett
Value of commodity quantity in US Dollars

Mer information

Fält Värde
Data senast uppdaterad 10 juni 2025
Metadata senast uppdaterad 10 juni 2025
Skapad 23 oktober 2023
Format CSV
Licens 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:Trends Over Time: By utilizing the 'date' variable, one can discern trends of imports over time. Are there any specific commodities that have seen a surge or decline over a given period?Commodity Analysis: Insights about the most and least imported commodities can be extracted.Value Analysis: One can assess which commodities hold the highest and lowest values in both USD and INR. This can give insights into the economic impact of specific imports.Country-wise Distribution: By analyzing the 'country' variable, insights about which unspecified countries are major or minor trade partners can be inferred.HS Code Analysis: Using the 'hs_code' variable, one can determine which categories of products are frequently imported, giving a broader picture of import needs.Quantity Analysis: Identifying commodities that have the highest and lowest quantities can provide insights into consumption and demand trends.
Data last updated2025-06-06 00:00:00
Data retreival date2025-06-06 00:00:00
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id0f301530-05d7-4f57-8944-797c81041ad4
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
Position5
Size2,6 MiB
Skumci-tradestat_import_lfy-cn-mn-uns
Stateactive
Tags['Trade Statistics', 'Unspecified Countries', '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 2025-06-06 00:00:00
Data Last Updated 2025-06-06 00:00:00
Sku mci-tradestat_import_lfy-cn-mn-uns
Dataset Frequency Monthly
Years Covered 2015-2025
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Mer information nan
Number of Indicators 3
Insights from the dataset Data Insights that can be drawn:Trends Over Time: By utilizing the 'date' variable, one can discern trends of imports over time. Are there any specific commodities that have seen a surge or decline over a given period?Commodity Analysis: Insights about the most and least imported commodities can be extracted.Value Analysis: One can assess which commodities hold the highest and lowest values in both USD and INR. This can give insights into the economic impact of specific imports.Country-wise Distribution: By analyzing the 'country' variable, insights about which unspecified countries are major or minor trade partners can be inferred.HS Code Analysis: Using the 'hs_code' variable, one can determine which categories of products are frequently imported, giving a broader picture of import needs.Quantity Analysis: Identifying commodities that have the highest and lowest quantities can provide insights into consumption and demand trends.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %
Geo Columns