Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
date
Tipo
date
Rótulo
Date

ID
country_name
Tipo
text
Rótulo
Country Name

ID
alpha_3_code
Tipo
text
Rótulo
ISO Alpha 3 Code

ID
country_code
Tipo
text
Rótulo
Country Code

ID
region
Tipo
text
Rótulo
Region Name

ID
region_code
Tipo
text
Rótulo
Region Code

ID
sub_region
Tipo
text
Rótulo
Sub-Region Name

ID
sub_region_code
Tipo
text
Rótulo
Sub-Region Code

ID
hs_code
Tipo
text
Rótulo
Harmonized System Code

ID
commodity
Tipo
text
Rótulo
Commodity Name

ID
unit
Tipo
text
Rótulo
Unit of Quantity

ID
value_qt
Tipo
numeric
Rótulo
Quantity of commodity

ID
value_rs
Tipo
numeric
Rótulo
Value of commodity quantity in INR

ID
value_dl
Tipo
numeric
Rótulo
Value of commodity quantity in US Dollars

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 4 de dezembro de 2025
Metadados atualizados pela última vez 19 de dezembro de 2025
Criado 23 de outubro de 2023
Formato CSV
Licença 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 updated2025-08-01
Data retreival date2025-12-04
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 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 2025-12-04
Data Last Updated 2025-08-01
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
Informações Adicionais 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 []