Dicionario de datos

ID
id
Tipo
int4
Etiqueta
index

ID
date
Tipo
date
Etiqueta
Date

ID
country_name
Tipo
text
Etiqueta
Country Name

ID
alpha_3_code
Tipo
text
Etiqueta
ISO Alpha 3 Code

ID
country_code
Tipo
text
Etiqueta
Country Code

ID
region
Tipo
text
Etiqueta
Region Name

ID
region_code
Tipo
text
Etiqueta
Region Code

ID
sub_region
Tipo
text
Etiqueta
Sub-Region Name

ID
sub_region_code
Tipo
text
Etiqueta
Sub-Region Code

ID
hs_code
Tipo
text
Etiqueta
Harmonized System Code

ID
commodity
Tipo
text
Etiqueta
Commodity Name

ID
unit
Tipo
text
Etiqueta
Unit of Quantity

ID
value_qt
Tipo
numeric
Etiqueta
Quantity of commodity

ID
value_rs
Tipo
numeric
Etiqueta
Value of commodity quantity in INR

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

Información adicional

Campo Valor
Última actualización de datos 4 de xullo de 2025
Última actualización de metadatos 4 de xullo de 2025
Creado 23 de outubro de 2023
Formato CSV
Licenza 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:Trade Volume Analysis: Determine which Oceanic countries are the top trade partners in terms of volume and value.Commodity Classification: Understand the primary commodities imported from the Oceanic region.Trade Value Comparison: Compare the trade value in USD and INR to deduce exchange rate dynamics and their implications.Trade Trends Over Time: By analyzing the date column, temporal trends can be identified, aiding in understanding seasonal variations or changes in trade patterns over the years.Weight to Value Ratio: By comparing the "dollars_millions" and "quantity_thousands" columns, one can determine the commodities that bring in the highest value per KG.
Data last updated2025-04-01
Data retreival date2025-07-04
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Ida0a660b5-8b2a-43aa-84bb-8f49bdb5c2e4
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
Position4
Size12,5 MiB
Skumci-tradestat_import_lfy-cn-mn-oce
Stateactive
Tags['Trade Statistics', 'Oceanic Trade', 'Commodities', 'Harmonized System', 'Trade Value', 'Import Quantity', 'Currency Analysis']
Url typeupload
Years covered2017-2025
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 2025-07-04
Data Last Updated 2025-04-01
Sku mci-tradestat_import_lfy-cn-mn-oce
Dataset Frequency Monthly
Years Covered 2017-2025
No of States/UT(s)
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Información adicional nan
Number of Indicators 3
Insights from the dataset Data Insights that can be drawn:Trade Volume Analysis: Determine which Oceanic countries are the top trade partners in terms of volume and value.Commodity Classification: Understand the primary commodities imported from the Oceanic region.Trade Value Comparison: Compare the trade value in USD and INR to deduce exchange rate dynamics and their implications.Trade Trends Over Time: By analyzing the date column, temporal trends can be identified, aiding in understanding seasonal variations or changes in trade patterns over the years.Weight to Value Ratio: By comparing the "dollars_millions" and "quantity_thousands" columns, one can determine the commodities that bring in the highest value per KG.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %