Year, Region, Gender, and State wise Distribution of Persons Engaged in Non-Agriculture by Enterprise Type
This dataset provides the percentage distribution of usually working (ps+ss) individuals in non-agricultural sectors (industry divisions 05-99 of NIC-2008), categorized by enterprise type across different states and union territories. For 2023-24, Chandigarh's entire area has been considered urban for this survey. Before 2019-20, Ladakh was part of Jammu and Kashmir, and since 2020-21, Daman and Diu have been merged with Dadra and Nagar Haveli to form the union territory of Dadra and Nagar Haveli and Daman and Diu.
Year, Region, Gender, and State wise Distribution of Persons Engaged in Non-Agriculture by Enterprise Type
This dataset provides the percentage distribution of usually working (ps+ss) individuals in non-agricultural sectors (industry divisions 05-99 of NIC-2008), categorized by enterprise type across different states and union territories. For 2023-24, Chandigarh's entire area has been considered urban for this survey. Before 2019-20, Ladakh was part of Jammu and Kashmir, and since 2020-21, Daman and Diu have been merged with Dadra and Nagar Haveli to form the union territory of Dadra and Nagar Haveli and Daman and Diu.
The calendar year to which the worker distribution data pertains.
state
String
40
24192
The Indian state or union territory for which the worker distribution is reported.
enterprise_type
String
9
24192
The type of enterprise ownership or organization under which the workers are employed, such as proprietary, government, or corporate entities.
region
String
3
24192
The geographic area of the workplace, indicating whether workers are in rural or urban locations.
gender
String
4
24192
The gender category of the workers being measured.
distribution_of_workers
Float64
908
24003
The percentage share of workers within the given state, enterprise type, region, and gender category.
unit
String
1
24192
The unit of measurement for the reported value, expressed as the distribution of workers in percentage.
note
String
1
0
An optional remarks field for additional notes about the data record.
Citation
Ministry of Statistics and Programme Implementation. (2026). Year, Region, Gender, and State wise Distribution of Persons Engaged in Non-Agriculture by Enterprise Type [Data set]. Dataful. https://dataful.in/datasets/20625
