Year, Region, Gender, and State wise Worker Population Ratio by Highest Education Level
This dataset reports the Worker Population Ratio (WPR) by usual status (ps+ss) for individuals aged 15 years and above, based on their highest educational attainment across different states and union territories. Collected through the PLFS, this dataset supports the analysis of workforce engagement by education level on a state-by-state basis. 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.
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).
Year, Region, Gender, and State wise Worker Population Ratio by Highest Education Level
This dataset reports the Worker Population Ratio (WPR) by usual status (ps+ss) for individuals aged 15 years and above, based on their highest educational attainment across different states and union territories. Collected through the PLFS, this dataset supports the analysis of workforce engagement by education level on a state-by-state basis. 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.
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).
The calendar year to which the Worker Population Ratio observation pertains.
state
String
41
26910
The Indian state or union territory for which the labour statistic is reported.
education_level
String
12
26910
The educational attainment category of the population segment being measured, such as literacy status or schooling level.
region
String
3
26910
The geographic sector the observation applies to: rural, urban, or the combined rural+urban area.
gender
String
3
26910
The gender group the measurement refers to, such as male, female, or a combined category.
worker_population_ratio
Float64
998
26670
The Worker Population Ratio, expressed as a percentage, representing the share of the population that is employed for the given year, state, education level, region, and gender.
unit
String
1
26910
The unit of measurement for the reported value, indicating the Worker Population Ratio is expressed in percentage terms.
note
String
1
0
Supplementary remarks or footnotes associated with the data record, if any.
Citation
Ministry of Statistics and Programme Implementation. (2026). Year, Region, Gender, and State wise Worker Population Ratio by Highest Education Level [Data set]. Dataful. https://dataful.in/datasets/20621