PLFS: Year, Industry, Region, and Gender wise Distribution of Workers
This dataset shows the percentage distribution of workers across different industry divisions, such as agriculture, manufacturing, and services, under usual status (ps+ss). For years before 2017-18, the data was obtained from the quinquennial employment and unemployment surveys of NSSO conducted between 1983 (NSS 38th round) and 2011-12 (68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The categorization by PLFS is as per NIC - 2008.
NB: Since 2017-18, the years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years. From 2025 onward, data is reported on a calendar-year basis (January–December), with data for 2022–2024 also published in calendar-year format in the 2025 report.
PLFS: Year, Industry, Region, and Gender wise Distribution of Workers
This dataset shows the percentage distribution of workers across different industry divisions, such as agriculture, manufacturing, and services, under usual status (ps+ss). For years before 2017-18, the data was obtained from the quinquennial employment and unemployment surveys of NSSO conducted between 1983 (NSS 38th round) and 2011-12 (68th round). From 2017-18 the data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. The categorization by PLFS is as per NIC - 2008.
NB: Since 2017-18, the years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years. From 2025 onward, data is reported on a calendar-year basis (January–December), with data for 2022–2024 also published in calendar-year format in the 2025 report.
Rows: 1179
Columns: 7
Time period: 1977-78, 1983, 1987-88, 1993-94, 1999-2000, 2004-05, 2009-10, 2011-12, 2017-18 to 2023-24, 2022 to 2025
Last Updated: 19 May 2026
Data preview
fiscal_year
region
gender
industry
distribution_of_workers
unit
note
2025
rural
male
agriculture
47.8
distribution_of_worker in percentage
2025
rural
male
mining & quarrying
0.4
distribution_of_worker in percentage
2025
rural
male
manufacturing
8.8
distribution_of_worker in percentage
2025
rural
male
electricity, water, etc.
0.7
distribution_of_worker in percentage
2025
rural
male
construction
17.6
distribution_of_worker in percentage
2025
rural
male
trade, hotel & restaurant
10.8
distribution_of_worker in percentage
2025
rural
male
transport, storage & communications
5.9
distribution_of_worker in percentage
2025
rural
male
other services
8
distribution_of_worker in percentage
2025
rural
female
agriculture
72.7
distribution_of_worker in percentage
2025
rural
female
mining & quarrying
0.1
distribution_of_worker in percentage
Sample from the dataset, for your reference.
Metadata
Number of Rows1179
Number of Columns7
Time Period1977-78, 1983, 1987-88, 1993-94, 1999-2000, 2004-05, 2009-10, 2011-12, 2017-18 to 2023-24, 2022 to 2025
The fiscal year to which the worker distribution data pertains.
region
String
3
1179
The geographic area classification (such as rural or urban) for which the worker share is reported.
gender
String
4
1179
The gender category of the workers being measured, such as male, female, or an aggregate grouping.
industry
String
9
1179
The broad industry or economic sector in which workers are employed, such as agriculture, manufacturing, or construction.
distribution_of_workers
Float64
313
1174
The percentage share of workers distributed within the specified industry, region, and gender grouping.
unit
String
1
1179
The unit of measurement for the worker distribution values, expressed as a percentage.
note
String
1
0
Supplementary remarks or clarifications pertaining to the worker distribution data.
Citation
Ministry of Statistics and Programme Implementation. (2026). PLFS: Year, Industry, Region, and Gender wise Distribution of Workers [Data set]. Dataful. https://dataful.in/datasets/20452