Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State Name
state_code text State Code
depth text Depth of coal field
reserve_type text Reserve type
reserves numeric Coal Reserves

Additional Information

Field Value
Data last updated June 5, 2024
Metadata last updated June 5, 2024
Created unknown
Format CSV
License Open Data Commons Attribution License
Created4 months ago
FrequencyYearly
Size2,695
Additional infonan
Data extraction pagehttps://iced.niti.gov.in/energy/fuel-sources/coal/reserve
Data insights1. The dataset allows for in-depth analysis of coal reserves in Meghalaya, enabling the identification of states with substantial reserves at varying depths. This insight can inform targeted resource planning and exploration strategies, facilitating sustainable coal mining practices aligned with depth-specific considerations.2. By assessing the potential for extraction based on depth and reserve type, the data can offer valuable guidance for energy policy decisions, resource allocation, and strategic planning to optimize coal mining activities in Meghalaya.
Data last updated2,023
Data retreival date2024-04-03 00:00:00
Datastore activeTrue
GranularityState
Has viewsTrue
Id4d682932-ad5b-4591-97e3-3f3775b1d0be
Idp readyTrue
MethodologyThe data is compiled from official government sources, geological surveys, and coal reserve estimates.
No indicators1
Package idd819b546-874b-4a6b-a027-5ec304d7f0ed
Position3
Skumoc-coal_reserve_depth-st-yr-meg
Stateactive
States uts no1
Url typeupload
Years covered2006-2022
Methodology The data is compiled from official government sources, geological surveys, and coal reserve estimates.
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_depth-st-yr-meg
Dataset Frequency
Years Covered 2006-2022
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 1
Insights from the dataset 1. The dataset allows for in-depth analysis of coal reserves in Meghalaya, enabling the identification of states with substantial reserves at varying depths. This insight can inform targeted resource planning and exploration strategies, facilitating sustainable coal mining practices aligned with depth-specific considerations.2. By assessing the potential for extraction based on depth and reserve type, the data can offer valuable guidance for energy policy decisions, resource allocation, and strategic planning to optimize coal mining activities in Meghalaya.
IDP Ready Yes