We estimate the size of the labour force in India and the
unemployment rate in India by directly interviewing a large sample of
randomly selected households, to find the employment / unemployment
status of all members of over 15 years of age. The 30-day moving average
is derived from a sample of over 105,025 individuals from about 32,166
households. The sample households are from the panel of households
included in CMIE’s Consumer Pyramids survey. CMIE’s Consumer Pyramids
panel of households contains over 172,365 households and these include
over 522,000 members who are over 15 years old. This is the largest
sample of individuals from whom data is gathered on the employment and
Face-to-face interviews are conducted with each
household. Responses are sought to classify each eligible member of the
surveyed households into one of the following statuses with respect to
employment / unemployment as of the date of the survey.
- Is currently employed.
- Is not employed but is willing to work and is actively looking for a job.
- Is not employed, is willing to work but is not actively looking for a job.
- Is not employed, is not willing to work and is not looking for a job.
The unemployment rate is computed as the number of persons not
employed but willing to work and actively looking for a job as a per
cent of the total labour force, where the total labour force is the sum
of all those who are employed and those who are not employed but are
willing and looking for a job.
The employment / unemployment status of an individual is recorded
as of the date of the survey. This permits us to measure the status a
lot more accurately since there is no ambiguity about the status on the
day of the interview.
If there is ambiguity of the status of an individual on the
day of the survey (as it could be for a daily wage worker) we seek the
status as of the day preceding the day of the interview. This recall
of a status that is in very close proximity to the date of the survey
ensures accurate observations of the status.
Interviews are well spread out over the entire country and over
rural and urban regions. Data are collected over specially developed
mobile phone applications and validated in real-time. Appropriate
weights are assigned to observations to ensure accurate population
estimations. Estimations of the 30-day moving average are based on a
survey design of a stratified sample over rural and urban areas. Monthly
estimations are based on a more refined survey design of state-level
stratification of rural and urban areas.