Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
coal_field
Type
text
Label
Coal Field

ID
reserve_type
Type
text
Label
Reserve type

ID
reserves
Type
numeric
Label
Coal Reserves

Additional Information

Field Value
Data last updated April 10, 2024
Metadata last updated August 22, 2024
Created April 10, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://iced.niti.gov.in/energy/fuel-sources/coal/reserve
Data insightsThe dataset can be used to analyze the distribution and availability of coal reserves in India, identify coal fields and states with significant reserves, and assess the potential for extraction based on reserve type. It can inform energy policy decisions, resource planning, and exploration strategies for coal mining at a granular level.
Data last updated2,023
Data retreival date2024-04-03 00:00:00
Datastore activeTrue
FrequencyYearly
GranularityState
Has viewsTrue
Id19b2e2c2-447d-45e6-bbb3-5c633bd4d991
Idp readyTrue
Lgd mappingyes
MethodologyThe data is compiled from official government sources, geological surveys, and coal reserve estimates.
No indicators1
Package id5ae07348-dcb6-4cd2-92d8-21c0f5901dab
Position5
Size156.2 KiB
Skumoc-coal_reserve_fiels-pt-yr-abc
Stateactive
States uts no15
Url typeupload
Years covered2006-2023
Methodology The data is compiled from official government sources, geological surveys, and coal reserve estimates.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://iced.niti.gov.in/energy/fuel-sources/coal/reserve
Data Retreival Date 2024-04-03 00:00:00
Data Last Updated 2023
Sku moc-coal_reserve_fiels-pt-yr-abc
Dataset Frequency Yearly
Years Covered 2006-2023
No of States/UT(s) 15
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 1
Insights from the dataset The dataset can be used to analyze the distribution and availability of coal reserves in India, identify coal fields and states with significant reserves, and assess the potential for extraction based on reserve type. It can inform energy policy decisions, resource planning, and exploration strategies for coal mining at a granular level.
IDP Ready Yes
LGD Mapping Yes