PLFS: Year, Region, Gender, and Employment status wise Average Hours Actually Worked per Week
The dataset consists of the average number of hours actually worked as reported by people during the Periodic Labour Force Survey. The data is available by region- urban and rural, gender- male and female, and by status of employment- self employed, salaried, and casual labourers.
NB: Survey years previously followed a July–June cycle (e.g., 2023–24 refers to July 2023–June 2024). From 2025 onward, data is reported on a calendar-year basis (January–December)
Further, data for 2025 covers the entire period from January to December whereas it covers quarters for previous years.
PLFS: Year, Region, Gender, and Employment status wise Average Hours Actually Worked per Week
The dataset consists of the average number of hours actually worked as reported by people during the Periodic Labour Force Survey. The data is available by region- urban and rural, gender- male and female, and by status of employment- self employed, salaried, and casual labourers.
NB: Survey years previously followed a July–June cycle (e.g., 2023–24 refers to July 2023–June 2024). From 2025 onward, data is reported on a calendar-year basis (January–December)
Further, data for 2025 covers the entire period from January to December whereas it covers quarters for previous years.
The fiscal year to which the labour statistics pertain.
quarter
String
5
996
The quarterly reporting period covered by the data, expressed as the span of months included.
region
String
3
996
The geographic classification of the area for which hours worked are reported, such as rural or urban.
gender
String
3
996
The gender category of the workers being measured, such as male, female, or persons.
employment_status
String
5
996
The type of employment of the workers, distinguishing categories such as self-employed versus regular wage or salaried employment.
no_of_hours
Float64
253
996
The average number of hours worked per week for the given group.
unit
String
2
901
The unit of measurement applied to the hours worked figure.
note
String
1
0
Supplementary remarks or annotations associated with the data record.
Citation
Ministry of Statistics and Programme Implementation. (2026). PLFS: Year, Region, Gender, and Employment status wise Average Hours Actually Worked per Week [Data set]. Dataful. https://dataful.in/datasets/20297