PAK_2017_LFS_v01_M
Labour Force Survey 2017-2018
Name | Country code |
---|---|
Pakistan | PAK |
Labor Force Survey [hh/lfs]
Pakistan Bureau of Statistics has been carrying out Labour Force Survey (LFS) since 1963. The LFS is conducted annually.
The major aim of the survey is to collect a set of comprehensive statistics on the various dimensions of country’s civilian labour force as a means to pave the way for skill development, planning, employment generation, assessing the role and importance of the informal sector and, sizing up the volume, characteristics and contours of employment. The broad objectives of the survey are as follows:
Sample survey data [ssd]
-v01
The survey covered the following themes:
Section-1: Identification
Section 2: Field Operations and Editing/Coding
Section 3: Checking at Headquarter
Section 4: Household Composition and Demographic Information
Section 5: Current Activity of All Household Members (10 Years and Over)
Section 6: Underemployment
Section 7: For Paid Employees Only
Section 8: Occupational Injuries/Diseases (All Employed Persons)
Section 9: Unemployment
Section 10: All Persons 10 Years of Age and Over - Work Activity
National Coverage
The survey covers all urban and rural areas of the four provinces of Pakistan defined as such by 1998 Population Census, excluding Federally Administered Tribal Areas (FATA) and military restricted areas. The population of excluded areas constitutes about 2% of the total population.
All sample enumeration blocks in urban areas and mouzas/dehs/villages in rural areas were enumerated except 111 households due to non contact and refusal cases in urban and rural areas. However, the number of sample households (42,108) enumerated as compared to total sample size (43,472) ) is high as response rate is (99.74). Province wise detail of dropped sample areas (PSUs) are shown in the table on p4 of the survey report provided a a related document.
The universe for Labour Force Survey consists of all urban and rural areas of the four provinces of Pakistan defined as such by 1998 Population Census excluding FATA and military restricted areas. The population of excluded areas constitutes about 2% of the total population.
Name | Affiliation |
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Pakistan Bureau of Statistics | Statistics Division, Government of Pakistan |
Sample Design: A stratified two-stage sample design is adopted for the survey.
Sampling Frame: Pakistan Bureau of Statistics (PBS) has developed its own sampling frame for both urban and rural domains. Each city/town is divided into enumeration blocks. Each enumeration block is comprised of 200 to 250 households on the average with well-defined boundaries and maps. The frame used in this survey was the most recent frame which is updated through Population and Housing Census 2017.
Stratification Plan
Urban Domain: All administrative divisions in the four provinces, constitutes separate stratum.
Rural Domain: Each administrative district in the Punjab, Sindh and Khyber Pakhtunkhwa (KP) is considered an independent stratum whereas in Balochistan, each administrative division constitutes a stratum.
Selection of primary sampling units (PSUs): Enumeration blocks in both Urban and Rural domains are taken as Primary Sampling Units (PSUs). Sample PSUs from each ultimate stratum/sub-stratum are selected with probability proportional to size (PPS) method of sampling scheme. In both Urban and Rural domains, the number of households in an enumeration blocks considered as measure of size.
Selection of secondary sampling units (SSUs): The listed households of sample PSUs are taken as Secondary Sampling Units (SSUs). A specified number of households i.e. 12 from each urban sample PSU and 16 from rural sample PSU are selected with equal probability using systematic sampling technique with a random start.
Sample Size and Its Allocation: A sample of 43,472 households is considered appropriate to provide reliable estimates of key labour force characteristics at National/Provincial level with Urban and Rural breakup. The entire sample of households (SSUs) is drawn from 3032 Primary Sampling Units (PSUs) out of which 1772 are rural and 1260 are urban. The overall sample has been distributed evenly over four quarters independently. The distribution of sample PSUs and SSUs in the urban and rural domain of the four provinces is provided on page 3 the survey report provided under Related documents.
Structured
Start | End |
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2017-07 | 2018-06 |
Name | Affiliation |
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Pakistan Bureau of Statistics | Government of Pakistan |
For quality control, supervisors from Regional/Field Offices and headquarter, make frequent field visits to keep the collection process on track.
Data are collected by direct interview method. Generally, the head of household is chosen to provide information about all members of the household. In case of his non-availability at the time of interview, some other informed member of the household down the line is interviewed. The total sample for the year is evenly distributed for enumeration on quarterly basis to offset the effect of seasonal variations. The information collected however relates to the week preceding the date of enumeration.
PBS is the national statistical organization responsible for collection, processing, compilation and dissemination of statistics. It has 34 Regional/Field Offices located all over Pakistan. These offices are equipped and manned with regular and trained field staff for the collection of data from the field.
Reliability of Estimate: Notwithstanding complete observance of the requisite codes to ensure reliability of data, co-efficient of variations and confidence intervals computed in the backdrop of 5% margin of error exercised for determining sample size, are also given in Section II of the survey report to affirm the reliability of estimates.
Use of the dataset must be acknowledged using a citation which would include:
Example:
Pakistan Bureau of Statistics. Labour Force Survey (LFS) 2017-2018. Ref: PAK_2017_LFS_v01_M. Downloaded from [uri] on [date]
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | URL |
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Pakistan Bureau of Statistics | Statistics Division, Government of Pakistan | http://www.pbs.gov.pk/contact |
DDI_PAK_2017_LFS_v01_M_WB
Name | Role |
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Development Data Group | Documentation of the DDI |
2020-10-13
Version 01 (October 2020)
2020-10-05