Current daily status

Also called: CDS · Topic: Employment, Unemployment and Informalisation · NCERT: Beyond NCERT

Meaning

Current daily status (CDS) records a person's activity (working, unemployed, or out of the labour force) separately for each day of the reference week, in half-day units. It counts person-days (days of work or joblessness added up across people), not persons.

It matters because it is the strictest of the three activity-status measures. It catches work that comes and goes, and underemployment (people who have some work, but not enough). For this reason it usually gives the highest unemployment rate (UR).

Formula: CDS UR = (person-days unemployed ÷ person-days in the labour force) × 100

Explanation

How CDS works

• The survey looks at the 7 days before the survey date. It then records each day in two half-day units.

• One week = 7 × 2 = 14 half-day units for each person.

• Each half-day is put into one of three groups:

• Working: doing economic work, meaning work that produces goods or services and adds to GDP.
• Unemployed: no work, but seeking or available for work.

• Out of the labour force: for example studying or doing housework.

• The survey adds up these units across all people. The result is person-days of work, of unemployment and of the labour force.

• The key point: CDS does not put a whole person into one box. One person can be counted as both employed and unemployed in the same week, for different half-days.

Why CDS gives the highest UR

• Usual status (UPSS, ps+ss) uses a 365-day reference period.
• A person counts as a worker if work was their principal status, meaning the activity on which they spent the major part of the year.
• A person also counts as a worker if they did subsidiary work (side work) for 30 days or more.

• So very few people are counted as unemployed. This gives the lowest UR.

• Current weekly status (CWS) uses the last 7 days.

• One hour of work on any day is enough to count the person as employed for the whole week.

• CDS counts every half-day without work.

• A casual labourer who gets work on only some days shows up as partly unemployed.
• So CDS captures intermittent work (work that starts and stops) and underemployment. This gives the highest UR.

Worked example (made-up numbers, for illustration)

• Ramesh is a casual construction worker. The survey covers the last 7 days, which is 14 half-days.
• He worked for 8 half-days.

• For the other 6 half-days he had no work but was looking for it.

• Under CWS: he worked at least one hour in the week, so he is counted as employed. His unemployment does not show up.

• Under CDS:
• Labour force = 8 + 6 = 14 half-days
• Unemployed = 6 half-days

• UR = 6 ÷ 14 × 100 ≈ 42.9% of his labour time

• Lesson: the same person looks fully employed under CWS but about 43% unemployed under CDS. Across millions of casual workers, this gap is why CDS gives the highest UR.

What makes CDS unemployment rise or fall

• It rises when:
• there is more casual or daily-wage work
• it is the lean farm season

• construction or other work is irregular

• It falls when:

• more people have regular wage or salaried jobs
• work lasts steadily through the year, for example through steady public works or non-farm jobs in villages

In India

• CDS is one of the three reference-period approaches used in India's household labour surveys. The other two are usual status and CWS.
• These surveys were first run by the NSSO (National Sample Survey Office) in its quinquennial (five-yearly) rounds. The era covered here starts with the 1972-73 round, and the last round was 2011-12.

• Today they are run by the NSO (National Statistical Office). The NSO was formed by merging the CSO and NSSO under the MoSPI order of 23 May 2019 [3].

• The Periodic Labour Force Survey (PLFS) was launched in April 2017 [1].

• Its headline figures are in usual status, which is why they look low.

• PLFS 2023-24 (age 15+, ps+ss): UR 3.2%, LFPR 60.1%, WPR 58.2% [1].

• From January 2025, PLFS publishes monthly and quarterly figures in CWS only, for rural and urban areas. Usual-status figures come out only once a year [2].

• So people who want to see short-term and part-time joblessness have to look beyond the headline usual-status UR.

• Why CDS suits India: most of India's workforce is informal and much of it is casual. Daily status captures this "some days work, some days not" pattern better than a yearly or weekly measure.

Don't confuse with

• Current weekly status (CWS): 7-day reference period, and it counts persons. One hour of work on any day makes the person employed. CDS instead counts half-day units and person-days.
• Usual status (UPSS, ps+ss): 365-day reference period, and subsidiary work of ≥30 days counts as employment. It gives the lowest UR. CDS gives the highest.
• Census main/marginal worker: a single visit, with a yearly rule. A main worker has ≥183 days of work and a marginal worker <183 days. It has nothing to do with daily or half-day units.
• Disguised unemployment: more people are on a job (for example, a family farm) than the job needs. They look fully busy every day, so CDS will not catch them. CDS catches days without any work, not extra workers on one job.

Prelims Hooks

• CDS = activity status for each day of the reference week, recorded in half-day units.
• CDS measures person-days, not persons. Only CDS can count one person as partly employed and partly unemployed in the same week.
• UR ranking (usual pattern): CDS (highest) > CWS > usual status ps+ss (lowest).
• CWS = last 7 days, employed if the person worked ≥1 hour on any day. Usual status = 365 days, with subsidiary work of ≥30 days.
• The PLFS headline UR is in usual status: 3.2% in 2023-24 [1]. From January 2025, monthly and quarterly PLFS figures are CWS only [2].
• Trap: "CDS gives the lowest unemployment rate" is wrong. The lowest is usual status.

Mains Points

• A low headline UR hides underemployment:
• India's 3.2% UR (2023-24) [1] is in usual status. That measure counts even 30 days of side work as employment.
• CDS counts every half-day without work. So it shows how much labour time goes unused among casual and informal workers.

• Policy analysis should therefore look at CDS figures alongside the WPR, the quality of jobs (regular wage vs casual) and real wages.

• Designing welfare programmes:

• Intermittent work is exactly what CDS picks up. Examples are seasonal farm work and daily-wage construction.
• Programmes like MGNREGA aim to fill these gaps in work days.

• Person-day measures of unemployment fit the design of such programmes better than headcount measures.

• Data frequency vs depth:

• The January 2025 PLFS revamp brought monthly CWS data for rural and urban areas [2]. This makes faster policy responses possible.
• But the monthly series is CWS only, so it cannot show day-to-day underemployment.
• A fuller picture needs daily-status analysis together with payroll data (EPFO, ESIC, NPS).

Related concepts

• Labour force
• Not in labour force
• Discouraged workers
• Labour force participation rate
• Worker population ratio
• Unemployment rate
• Usual status
• Principal status
• Subsidiary status
• Current weekly status

Read more

• Measuring the labour market: indicators, activity status and data sources