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 Dynamics: Understanding the export trends over time, seeing which Oceanic countries have the highest trade volumes. Popular Commodities: Identify which commodities are most frequently exported and to which countries. Currency Value Trends: Comparing the value of commodities in USD and INR could provide insights into currency fluctuations and their impacts on trade. Quantity vs. Value: Evaluating which commodities bring in the most value in terms of money for the least quantity and vice versa. HS Code Analysis: Using HS codes to categorize and understand the diversity of products being exported.
Data last updated2024-09-01
Data retreival date2025-02-26
Datastore activeTrue
FrequencyMonthly
GranularityCountry
Has viewsTrue
Ide2f46a6b-84cb-480e-a923-8e9e69afd1ea
Idp readyTrue
Lgd mappingna
MethodologyThe data is presumably collected from customs and trade departments, detailing out export transactions. Each record in the dataset corresponds to a specific transaction featuring the date, country of import, HS code of the commodity, the commodity's name, its value in USD and INR, and its quantity
Mimetypetext/csv
No indicators3
Package idf9be9c01-9383-446d-b135-39acba784745
Position3
Size64.8 MiB
Skumci-tradestat_export_lfy-cn-mn-oce
Stateactive
Tags['Trade', 'Exports', 'Oceanic Countries', 'Commerce', 'HS Code', 'Commodity Value', 'International Business', 'Currency Analysis']
Url typeupload
Years covered2017-2024
Methodology The data is presumably collected from customs and trade departments, detailing out export transactions. Each record in the dataset corresponds to a specific transaction featuring the date, country of import, HS code of the commodity, the commodity's name, its value in USD and INR, and its quantity
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-oce
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 Dynamics: Understanding the export trends over time, seeing which Oceanic countries have the highest trade volumes. Popular Commodities: Identify which commodities are most frequently exported and to which countries. Currency Value Trends: Comparing the value of commodities in USD and INR could provide insights into currency fluctuations and their impacts on trade. Quantity vs. Value: Evaluating which commodities bring in the most value in terms of money for the least quantity and vice versa. HS Code Analysis: Using HS codes to categorize and understand the diversity of products being exported.
IDP Ready Yes
LGD Mapping Not Applicable