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, Compl...
| year | sector_type | cause_type | category | value | unit | note |
|---|---|---|---|---|---|---|
| 2018 | Co-Operative Sector | Cause Not Known | Number of Units | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Cause Not Known | Number of Workers Affected | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Financial Stringency | Number of Units | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Financial Stringency | Number of Workers Affected | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Increase in Production Cost | Number of Units | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Increase in Production Cost | Number of Workers Affected | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Lack of Demand/Accumulation of Stock | Number of Units | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Lack of Demand/Accumulation of Stock | Number of Workers Affected | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Shortage of Raw Material | Number of Units | 0 | value in absolute number | |
| 2018 | Co-Operative Sector | Shortage of Raw Material | Number of Workers Affected | 0 | value in absolute number |
Ministry of Labour and Employment. 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
