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 Trends: Analyze the trends over time regarding the volume and value of exports to identify seasonal patterns or long-term changes. Commodity Analysis: Evaluate the most popular commodities exported, in terms of both quantity and value. Economic Insights: Understand the economic relations and trade balance between India and the Antarctica countries, assessing the value of trade in both USD and INR. Region and Sub-Region Specific: Derive insights on region and sub-region-wise exports. HS Code Utilization: Determine the diversity of products being exported by analyzing the variety of HS codes present in the dataset. Country-Specific Trends: Explore country-wise data to discern patterns or preferences in trade for each Antarctica country.
Data last updated2024-09-01
Data retreival date2025-02-26
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Id4a4b5cab-615d-4f9b-bc02-f621d3399e5d
Idp readyTrue
Lgd mappingna
MethodologyThe dataset is derived from the official records and trade reports published by the Indian government's Department of Commerce. It’s believed to be highly reliable, capturing a comprehensive view of export activities from India to the Antarctica countries. Each row of the dataset represents a unique transaction or batch of transactions, categorized by the HS code and described by the respective commodity name.
Mimetypetext/csv
No indicators3
Package idf9be9c01-9383-446d-b135-39acba784745
Position5
Size6.3 KiB
Skumci-tradestat_export_lfy-cn-mn-ant
Stateactive
Tags['Trade Statistics', 'Export Data', 'Commodity Trade', 'Economic Data', 'International Trade', 'HS Code', 'Trade Value and Volume']
Url typeupload
Years covered2017-2024
Methodology The dataset is derived from the official records and trade reports published by the Indian government's Department of Commerce. It’s believed to be highly reliable, capturing a comprehensive view of export activities from India to the Antarctica countries. Each row of the dataset represents a unique transaction or batch of transactions, categorized by the HS code and described by the respective commodity name.
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-ant
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 Trends: Analyze the trends over time regarding the volume and value of exports to identify seasonal patterns or long-term changes. Commodity Analysis: Evaluate the most popular commodities exported, in terms of both quantity and value. Economic Insights: Understand the economic relations and trade balance between India and the Antarctica countries, assessing the value of trade in both USD and INR. Region and Sub-Region Specific: Derive insights on region and sub-region-wise exports. HS Code Utilization: Determine the diversity of products being exported by analyzing the variety of HS codes present in the dataset. Country-Specific Trends: Explore country-wise data to discern patterns or preferences in trade for each Antarctica country.
IDP Ready Yes
LGD Mapping Not Applicable