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 12 de maio de 2025
Metadados atualizados pela última vez 12 de maio 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/cntcomq.asp?ie=e
Data insightsData Insights that can be drawn: Trade Trends: By analyzing the dataset over time, one can identify the growth or decline of specific commodities being exported to African countries. Top Commodities: Understand which commodities are most frequently exported and which generate the highest revenue. Country-Specific Analysis: Derive insights into which African nations are India's largest trading partners in terms of volume and value. Region and Sub-Region Specific: Derive insights on region and sub-region-wise exports. Currency Analysis: Compare and contrast the value of exported commodities in USD versus INR. Quantity Analysis: Identify which products are exported in larger quantities, providing insight into demand patterns in African countries.
Data last updated2024-12-01
Data retreival date2025-05-12
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id579b35e7-a2dc-4567-9f43-f6abce125dba
Idp readyTrue
Lgd mappingna
MethodologyThis data is compiled and sourced from the official website of India's trade statistics, ensuring its accuracy and reliability. The Harmonized System (HS) codes serve as a universal classification method, allowing the data to be both nationally and internationally relevant. Regular updates to the database ensure that the dataset remains current and reflective of trade trends.
Mimetypetext/csv
No indicators3
Package idf9be9c01-9383-446d-b135-39acba784745
Position1
Size368,9 MiB
Skumci-tradestat_export_lfy-cn-mn-afr
Stateactive
Tags['Trade', 'Exports', 'African countries', 'Commodity', 'Harmonized System', 'Trade Statistics', 'Quantity Analysis']
Url typeupload
Years covered2017-2024
Methodology This data is compiled and sourced from the official website of India's trade statistics, ensuring its accuracy and reliability. The Harmonized System (HS) codes serve as a universal classification method, allowing the data to be both nationally and internationally relevant. Regular updates to the database ensure that the dataset remains current and reflective of trade trends.
Indicators
Similar Resources
Granularity Level Country
Data Extraction Page https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=e
Data Retreival Date 2025-05-12
Data Last Updated 2024-12-01
Sku mci-tradestat_export_lfy-cn-mn-afr
Dataset Frequency Monthly
Years Covered 2017-2024
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: Trade Trends: By analyzing the dataset over time, one can identify the growth or decline of specific commodities being exported to African countries. Top Commodities: Understand which commodities are most frequently exported and which generate the highest revenue. Country-Specific Analysis: Derive insights into which African nations are India's largest trading partners in terms of volume and value. Region and Sub-Region Specific: Derive insights on region and sub-region-wise exports. Currency Analysis: Compare and contrast the value of exported commodities in USD versus INR. Quantity Analysis: Identify which products are exported in larger quantities, providing insight into demand patterns in African countries.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %
Geo Columns