Data Dictionary

ID
id
Type
int4
Label
index

ID
month
Type
date
Label
Month

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
port
Type
text
Label
Port to Export

ID
country
Type
text
Label
Export Country

ID
pc_code
Type
text
Label
Principle Commodity Code

ID
commodity
Type
text
Label
Commodity Name

ID
units
Type
text
Label
Quantity Unit Measurement

ID
quantity
Type
numeric
Label
Value of commodity quantity

ID
dollars_value
Type
numeric
Label
Value of commodity quantity in USD

ID
inr_value
Type
numeric
Label
Value of commodity quantity in INR

Additional Information

Field Value
Data last updated January 17, 2025
Metadata last updated January 17, 2025
Created January 17, 2025
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://ftddp.dgciskol.gov.in/dgcis/principalcommditysearch.html#!/freeuser
Data insightsData insights that can be drawn: Trend Analysis: One can identify monthly trends in the export of specific commodities, thus gaining insights into peak export months or potential seasonality. Regional Insights: With state-wise export details, it's possible to discern which states are leading exporters for particular commodities. Trade Partners: By evaluating the 'Export Country' column, one can identify the top trade partners for specific commodities and states. Commodity Popularity: With data on commodity quantity and its value in both USD and INR, one can determine the most exported commodities in terms of volume and value. Port Utilization: Information about which ports are predominantly used for exporting can help in infrastructure and logistic planning.
Data last updated2024-07-01 00:00:00
Data retreival date2024-09-16 00:00:00
Datastore activeTrue
FrequencyMonthly
GranularityState
Has viewsTrue
Id5523ad24-c97a-4e0c-adb0-c89b420b0518
Idp readyFalse
MethodologyThe dataset has been sourced from the online portal of the Directorate General of Commercial Intelligence and Statistics, as available at the specified URL. It likely accumulates data from customs declarations, trade agreements, and other export-related documentation to ensure accuracy and comprehensiveness in the dataset. However, users are advised to refer to the original source for any details about the data collection process or to verify the precision of the data.
Mimetypetext/csv
No indicators3
Package idfd4b135e-aced-4e0e-8dc9-dcb962eba98a
Position1
Size832.6 MiB
Skumci-dgcis_exports_by_port-ol-yr-fya
Stateactive
States uts no29
Tags['Trade', 'Exports', 'Commodity', 'Economic Data', 'Trade Balance', 'International Business', 'Regional Exports']
Url typeupload
Years covered2018-2024
Methodology The dataset has been sourced from the online portal of the Directorate General of Commercial Intelligence and Statistics, as available at the specified URL. It likely accumulates data from customs declarations, trade agreements, and other export-related documentation to ensure accuracy and comprehensiveness in the dataset. However, users are advised to refer to the original source for any details about the data collection process or to verify the precision of the data.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://ftddp.dgciskol.gov.in/dgcis/principalcommditysearch.html#!/freeuser
Data Retreival Date 2024-09-16 00:00:00
Data Last Updated 2024-07-01 00:00:00
Sku mci-dgcis_exports_by_port-ol-yr-fya
Dataset Frequency Monthly
Years Covered 2018-2024
No of States/UT(s) 29
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: Trend Analysis: One can identify monthly trends in the export of specific commodities, thus gaining insights into peak export months or potential seasonality. Regional Insights: With state-wise export details, it's possible to discern which states are leading exporters for particular commodities. Trade Partners: By evaluating the 'Export Country' column, one can identify the top trade partners for specific commodities and states. Commodity Popularity: With data on commodity quantity and its value in both USD and INR, one can determine the most exported commodities in terms of volume and value. Port Utilization: Information about which ports are predominantly used for exporting can help in infrastructure and logistic planning.
IDP Ready No
LGD Mapping