| year | state | disease_type | disease_name | value | unit | note |
|---|---|---|---|---|---|---|
| 2023 | Maharashtra | Occupational Diseases | Asbestosis | 1 | value in absolute number | |
| 2023 | Haryana | Occupational Diseases | Crystalline Silica Dust | value in absolute number | Data not reported by the CIF/NIL Data/Data not provided | |
| 2023 | Gujarat | Occupational Diseases | Noise Induced Hearing Loss | 19 | value in absolute number | |
| 2023 | All India | Occupational Diseases | 20 | value in absolute number | ||
| 2023 | Andaman and Nicobar Islands | Occupational Diseases | 0 | value in absolute number | ||
| 2023 | Andhra Pradesh | Occupational Diseases | 0 | value in absolute number | ||
| 2023 | Arunachal Pradesh | Occupational Diseases | 0 | value in absolute number | ||
| 2023 | Assam | Occupational Diseases | 0 | value in absolute number | ||
| 2023 | Bihar | Occupational Diseases | 0 | value in absolute number | ||
| 2023 | Chandigarh | Occupational Diseases | 0 | value in absolute number |
Ministry of Labour and Employment. State and Year-wise Major Occupational Diseases in Factories [Data set]. Dataful. https://dataful.in/datasets/23777
This dataset contains the State and Year-wise Major Occupational Diseases and their occurences in Factories.
| Name | Number of Distinct Values | Number of Unique Values | Type | Count |
|---|
| year | 8 | 8 | Int64 | 298 |
| state | 36 | 36 | String | 298 |
| disease_type | 1 | 1 | String | 298 |
| disease_name | 10 | 10 | String | 37 |
| value | 26 | 26 | Int64 | 257 |
| unit | 1 | 1 | String | 298 |
| note | 3 | 3 | String | 36 |
