Periodic Labour Force Survey (PLFS)

The Periodic Labour Force Survey, or PLFS, is India's main official survey of jobs and unemployment. Government survey teams visit homes across the country and ask every member what work they did, if any. From this, the government calculates how many people are working, how many are looking for work and what kinds of jobs they do. It is run by the National Statistics Office (NSO) under the Ministry of Statistics and Programme Implementation (MoSPI).

Why does it exist?

A government cannot plan jobs policy without knowing how many people have jobs. Earlier, India got detailed job data only once in five years. Five years is too long: by the time data arrived, the situation had already changed. Policymakers wanted data at least every quarter so they could see changes quickly, like a doctor who checks a patient's pulse often rather than once every five years.

Where did it come from?

• Earlier, the National Sample Survey Office (NSSO) ran large Employment-Unemployment Surveys once every five years (called "quinquennial" surveys). The last such big round was the 68th round, in 2011-12. This is why many studies, including job and AI studies, use 2011-12 as a starting point.
• On the advice of the National Statistical Commission (NSC), MoSPI set up a Committee on PLFS chaired by Prof. Amitabh Kundu, then a member of the NSC, to design a faster survey.
• The committee recommended a pilot. It was run in urban areas of Gujarat, Himachal Pradesh and Odisha from July 2011 to June 2013.
• The NSSO launched the full PLFS in April 2017. The first annual report covered July 2017 to June 2018.
• In 2019, the NSSO and the Central Statistics Office were merged into the National Statistics Office (NSO), which now runs the PLFS.
• From January 2025, the PLFS was revamped (redesigned): it now gives monthly estimates, covers rural areas in quarterly data as well, and its annual report now follows the calendar year (January to December) instead of July to June.

How does it work?

The survey uses a rotational panel design. A selected household is visited four times in a row: one first visit and then three revisits. This lets the survey see how the same people's job status changes over time. In the revamped design, about 22,692 first-stage units (villages and urban blocks) are surveyed every year, and 12 households are taken from each. That gives about 2.72 lakh households a year, much bigger than before.

The two ways of measuring "work"

This is the most tested part:

• Usual Status (US): Looks at the 365 days before the survey. A person's principal status (ps) is what they did for most of the year. Subsidiary status (ss) captures any extra work done for 30 days or more in that year. Together they are written as ps+ss. This is used in the annual report.
• Current Weekly Status (CWS): Looks only at the last 7 days. A person counts as working if they worked for at least one hour on any day of that week. This is used in the monthly and quarterly bulletins, and it catches short-term changes faster.

Because CWS looks at a short window, unemployment by CWS is usually higher than by usual status.

The three key indicators

• Labour Force Participation Rate (LFPR): The share of people who are either working or looking for work, out of the total population. Example: if 100 adults live in a town and 60 are working or job-hunting, LFPR is 60%.
• Worker Population Ratio (WPR): The share of the population that is actually working. In the same town, if 57 of 100 are working, WPR is 57%.
• Unemployment Rate (UR): The share of the labour force (not the whole population) that has no work. In the town, 3 out of 60 are jobless, so UR is 5%.

What are its outputs?

• Monthly bulletin: CWS estimates for rural and urban India (first one covered April 2025, released May 2025).
• Quarterly bulletin: CWS estimates for rural and urban areas.
• Annual report: Usual status estimates with details by state, gender, age, education and type of work (self-employed, regular salaried, casual labour).

As of the 2025 annual report (January to December 2025, usual status ps+ss, age 15 and above), India's LFPR was 59.3%, WPR was 57.4% and the unemployment rate was 3.1%. Female LFPR was 40.0% and male LFPR was 79.1%. Rural unemployment was 2.4% and urban unemployment was 4.8%.

Commonly confused concepts

• PLFS vs Annual Survey of Industries (ASI): PLFS surveys households about their work. ASI surveys factories about output, workers and costs.
• PLFS vs EPFO payroll data: EPFO data counts new members joining the provident fund. It only covers formal jobs. PLFS covers all workers, formal and informal.
• PLFS vs Periodic labour data from the Labour Bureau: The Labour Bureau (Ministry of Labour and Employment) ran its own Employment-Unemployment Surveys and now runs establishment surveys. PLFS is run by the NSO under MoSPI.
• LFPR vs WPR: LFPR includes people looking for work. WPR counts only people who are actually working. LFPR is always equal to or higher than WPR.
• Unemployment rate denominator: UR is calculated on the labour force, not on the whole population. This is a common trap in MCQs.

Issues, criticism and the way forward

• What counts as "work": Even one hour of work in a week counts as employed under CWS. Unpaid help in a family business or farm also counts as work. Critics say this can make job numbers look better than the real quality of jobs.
• Job quality is hidden: A low unemployment rate can hide low wages, underemployment (people working fewer hours than they want) and informal jobs without social security.
• Women's work: Much of women's unpaid care work at home is not counted as economic work, which affects how female LFPR is read.
• Breaks in the series: The 2025 redesign changed the sample and time period. Comparing new numbers directly with old July-June numbers needs care.
• Way forward: Experts suggest linking PLFS with other data (EPFO, e-Shram, time-use surveys), adding questions on job quality and new forms of work such as gig and platform work, and releasing state-level data more often.

Concepts to Know

• National Statistics Office (NSO): The main body under MoSPI that collects official statistics through surveys. It was formed in 2019 by merging the NSSO and the Central Statistics Office.
• Sample survey: Instead of asking every person in India, the survey asks a carefully chosen smaller group whose answers represent the whole country.
• Rotational panel: A design in which the same household is visited several times, and a part of the sample is replaced with new households in each round.
• Underemployment: When a person has work but less than they want or need, or work below their skills.
• Gig worker: A person who does short, task-based jobs, often through an app (such as a food delivery rider), instead of a fixed job.