Additional Information

Field Value
Data last updated April 24, 2025
Metadata last updated April 24, 2025
Created December 31, 2024
Format CSV
License License not specified
Additional infonan
Data extraction pagehttps://npp.gov.in/dgrReports
Data insightsThe Data can be used to analyze the performance, coal consumption, and stock management of different power stations, the daily coal consumption pattern across other power stations and states, the stock levels and variations over time and across power stations, compare actual stocks with the normative stock to assess stock adequacy and management efficiency, the contribution of indigenous and imported coal to the total stock, identify situations where stock levels are below the normative requirement, the balance between consumption and receipt to understand how well the supply is meeting the demand, reasons behind critical situations and their impact on power stations.
Data last updated2025-03-03 00:00:00
Data retreival date2025-04-03 00:00:00
Datastore activeFalse
FrequencyDaily
GranularityPower Station
Has viewsFalse
Id5c4d4d61-615a-4047-a56e-04b2ac8c28a5
Idp readyFalse
Lgd mappingyes
MethodologyData compiled by the National Power Portal based on daily reports submitted by power stations. The data covers both state utilities and private power producers.
Mimetypetext/csv
No indicators12
Package iddbe83c53-f2a1-4d66-9fcf-ea1ec3517bbf
Position0
Size59.5 MiB
Skumop-coal_stock-pl-dl-aaa
Stateactive
States uts no17
Url typeupload
Years covered2018-2025
Methodology Data compiled by the National Power Portal based on daily reports submitted by power stations. The data covers both state utilities and private power producers.
Indicators []
Similar Resources
Granularity Level Power Station
Data Extraction Page https://npp.gov.in/dgrReports
Data Retreival Date 2025-04-03 00:00:00
Data Last Updated 2025-03-03 00:00:00
Sku mop-coal_stock-pl-dl-aaa
Dataset Frequency Daily
Years Covered 2018-2025
No of States/UT(s) 17
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 12
Insights from the dataset The Data can be used to analyze the performance, coal consumption, and stock management of different power stations, the daily coal consumption pattern across other power stations and states, the stock levels and variations over time and across power stations, compare actual stocks with the normative stock to assess stock adequacy and management efficiency, the contribution of indigenous and imported coal to the total stock, identify situations where stock levels are below the normative requirement, the balance between consumption and receipt to understand how well the supply is meeting the demand, reasons behind critical situations and their impact on power stations.
IDP Ready No
LGD Mapping Yes