All India, Year and Cause-wise number of Permanent Closures and Workers Affected by Sectors and Spheres
This dataset contains the All India, Year and Cause-wise number of Permanent Closures and the Workers affected by Sectors and Spheres. Here sectors include Public, Private, Joint and Co-operative, while Spheres include State and Central Spheres. Major causes include Financial Stringency, Shortage of Raw Material, Lack of Demand/Accumulation of Stock, Shifting of Premises/Opening of New Unit, Completion of Project /Termination of contract and Land Problem among others.
All India, Year and Cause-wise number of Permanent Closures and Workers Affected by Sectors and Spheres
This dataset contains the All India, Year and Cause-wise number of Permanent Closures and the Workers affected by Sectors and Spheres. Here sectors include Public, Private, Joint and Co-operative, while Spheres include State and Central Spheres. Major causes include Financial Stringency, Shortage of Raw Material, Lack of Demand/Accumulation of Stock, Shifting of Premises/Opening of New Unit, Completion of Project /Termination of contract and Land Problem among others.
The calendar year to which the recorded industrial dispute statistics pertain.
sector_type
String
5
1392
The ownership classification of the affected units, such as public or private sector.
cause_type
String
21
1392
The reported cause of the industrial dispute or lockout, such as financial stringency, shortage of raw material, or shortage of power.
category
String
2
1392
The measure being counted for each cause and sector: the number of units affected or the number of workers affected.
value
Int64
154
1392
The absolute count of units or workers affected for the given year, sector, and cause of dispute.
unit
String
1
1392
The unit of measurement for the reported value, given as an absolute number.
note
String
2
162
Supplementary remarks or footnotes providing additional context for the corresponding record.
Citation
Ministry of Labour and Employment. (2026). All India, Year and Cause-wise number of Permanent Closures and Workers Affected by Sectors and Spheres [Data set]. Dataful. https://dataful.in/datasets/20582
