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 February 26, 2025
Metadata last updated February 26, 2025
Created October 23, 2023
Format CSV
License 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 Volume Trends: Observing how the export quantities (in KGs) change over time can shed light on the demand dynamics of certain commodities. Monetary Value Trends: By tracking the values in USD and INR, one can infer the global and local financial impact of these exports respectively. Popular Commodities: By aggregating the data, one can identify the most traded commodities to Asian countries. Top Trade Partners: An analysis can determine which Asian countries are the most frequent or valuable trading partners. HS Code Analysis: Evaluating trade by HS code can provide a granular view of specific product categories and their performance in trade. Currency Impact: Comparing the values of exports in USD and INR might provide insights into currency fluctuations and their impact on trade.
Data last updated2024-09-01
Data retreival date2025-02-26
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id574636b8-5e96-4f08-a357-42e57bc0dad0
Idp readyTrue
Lgd mappingna
MethodologyThe data has been sourced from the 'Trade Statistics' section of the commerce department's official website. Data is presumably collected through customs and trade declarations from businesses involved in the export trade, processed by the respective government department, and then made publicly available on the mentioned portal.
Mimetypetext/csv
No indicators3
Package idf9be9c01-9383-446d-b135-39acba784745
Position0
Size715.3 MiB
Skumci-tradestat_export_lfy-cn-mn-asi
Stateactive
Tags['Trade', 'Exports', 'Asian Countries', 'HS Code', 'Commodity', 'Trade Statistics', 'Trade Volume', 'Trade Value', 'Currency Analysis', 'Trade Trends']
Url typeupload
Years covered2017-2024
Methodology The data has been sourced from the 'Trade Statistics' section of the commerce department's official website. Data is presumably collected through customs and trade declarations from businesses involved in the export trade, processed by the respective government department, and then made publicly available on the mentioned portal.
Indicators
Similar Resources
Granularity Level Country
Data Extraction Page https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=e
Data Retreival Date 2025-02-26
Data Last Updated 2024-09-01
Sku mci-tradestat_export_lfy-cn-mn-asi
Dataset Frequency Monthly
Years Covered 2017-2024
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: Trade Volume Trends: Observing how the export quantities (in KGs) change over time can shed light on the demand dynamics of certain commodities. Monetary Value Trends: By tracking the values in USD and INR, one can infer the global and local financial impact of these exports respectively. Popular Commodities: By aggregating the data, one can identify the most traded commodities to Asian countries. Top Trade Partners: An analysis can determine which Asian countries are the most frequent or valuable trading partners. HS Code Analysis: Evaluating trade by HS code can provide a granular view of specific product categories and their performance in trade. Currency Impact: Comparing the values of exports in USD and INR might provide insights into currency fluctuations and their impact on trade.
IDP Ready Yes
LGD Mapping Not Applicable