PAK_2007_LFS_v01_M
Labour Force Survey 2007-2008
Name | Country code |
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Pakistan | PAK |
Labor Force Survey [hh/lfs]
The labour force statistics are pivotal for manpower planning, human resource development and, economic growth. Federal Bureau of Statistics has been conducting Labour Force Surveys (LFS) since 1963. The Survey data is extensively used by the government, researchers and other stakeholders at large. The LFS 2007-08 is the twenty-seventh issue in the series.
The major aim of the survey is to collect a set of comprehensive statistics on the various dimensions of country’s civilian labour force. The survey profiles information 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 specific objectives of the survey are as follows:
The Labour Force Survey (LFS) 2003-04 provides data on
(a) age, sex,marital status, literacy, level of education and migration of the population,
(b) dimensions of country’s labour force, such as (i) employed labour force classified by industry, formal & informal sectors, occupation, employment status, hours worked and level of education,
(ii) occupational safety and health information of the employed persons, and
(iii) unemployed labour by level of education and previous experience.
The survey covered all urban and rural areas of the four provinces of Pakistan defined as such by 1998 Population Census, excluding Federally Administered Tribal Areas (FATA), military restricted areas, and protected areas of North-West Frontier Province (NWFP). The population of excluded areas constitutes about 3% of the total population.
Name | Affiliation |
---|---|
Federal Bureau of Statistics | Statistics Division, Government of Pakistan |
Sample Design
Universe: 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 Azad Jammu and Kashmir, Northern Areas, Federally Administered Tribal Areas (FATA) and military restricted areas and protected areas of NWFP. The Population of excluded areas constitute about 3% of the total population.
Sampling Frame: Federal Bureau of Statistics (FBS) has developed its own sampling frame for urban areas. Each city/town is divided into a number of enumeration blocks. Each enumeration block is based on 200 to 250 households on the average with well defined boundaries and maps. The list of enumeration blocks as updated through Economic Census 2003-04 and the list of villages/mouzas/dehs of 1998 Population Census have been taken as sampling frame. Enumeration blocks and villages are considered as Primary Sampling Units (PSUs) from urban and rural domains respectively.
Stratification Plan Urban Domain: Karachi, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Sialkot, Sargodha, Bahawalpur, Hyderabad, Sukkur, Peshawar, Quetta and Islamabad are considered as large cities. Each of these cities constitutes a separate stratum, further sub-stratified according to low, middle and high income groups based on the information collected in respect of each Enumeration Block at the time of demarcation/ updating of urban area sampling frame.
Remaining Urban Areas: After excluding the population of large cities from the population of respective ex-administrative division, the remaining urban population of exadministrative division from provinces is grouped together to form another stratum called other urban. Thus each ex-division in remaining urban areas in the four provinces constitutes a stratum.
Rural Domain: Each administrative district in the Punjab, Sindh and NWFP is considered an independent stratum whereas in Balochistan, each ex-administrative division constitutes a stratum.
Sample Design: A stratified two-stage sample design has been adopted for the survey.
i) Selection of primary sampling units (PSUs): Enumeration Blocks in urban domain and mouzas/dehs/villages in rural are taken as Primary Sampling Units (PSUs). Sample PSUs are drawn with probability proportional to size (PPS) method. In urban domain, the number of households in an enumeration block as updated in 2003-04 through Economic Census and respective population of 1998 Census for a stratum is considered as measure of size.
ii) Selection of secondary sampling units (SSUs): The constituent households of sample PSUs are taken as Secondary Sampling Units (SSUs). A specified number of households i.e. 12 from each urban sample PSU, 16 from rural sample PSU have been selected with equal probability using systematic sampling technique with random a start.
Sample Size and Its Allocation: Keeping in view the variability of characteristics, population distribution and availability of field resources, a sample of 18912 households have been considered appropriate to provide reliable estimates of key labour force characteristics. The entire sample of households (SSUs) has been drawn from 1347 Primary Sampling Units (PSUs) out of which 660 are urban and 687 are rural. As urban population is more heterogeneous therefore, a higher proportion of sample size is allocated to urban domain. In order to get reliable estimates, a higher proportion of sample has been assigned to NWFP and Balochistan in consideration to their smallness. After fixing the sample size at provincial level, further distribution of sample PSUs to different strata in rural and urban domains in each province is made proportionately.
Sample Covered: All enumeration Blocks in urban areas and mouzas/dehs/villages in rural areas have been enumerated. The number of sample households (18,858) enumerated is less than the estimated sample size (18,912) due to non-contact and refusal cases in urban and rural areas.
Start | End |
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2007 | 2008 |
Name | Affiliation |
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Federal Bureau of Statistics | Statistics Division, Government of Pakistan |
For quality control, supervisors from Regional/Field Offices and headquarter, make frequent field visits to spot-checking the collection process.
FBS 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 collection of data through censuses/surveys.
In order to evolve dynamics of field enumeration in line with the survey’s objectives, training is imparted to the concerned staff on interviewing techniques and other procedure to be used in the enumeration.
Soon after data collection, the supervisors clean, edit and check the filled in questionnaires manually for consistency and completeness and refer back to field where necessary. Editing is done at headquarter by the subject matter section. Computer edit checks are applied to get even with errors identified at the stage of data entry. Data ranges in numerical values are used to eliminate erroneous data resulting from mistakes made during coding. The survey records are further edited and rectified through a series of computer processing stages.
Name | Affiliation | URL | |
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Federal Bureau of Statistics | Statistics Division, Government of Pakistan | http://www.pbs.gov.pk/content/data-dissemination | pbs@pbs.gov.pk |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | It will be ensured that the statistics supplied will not disclose in any way the identity and state of affairs of any individual, firm or institution in strict compliance of the General Statistics Act, 1975. |
a. The user shall provide an undertaking that the data collected from PBS will not be supplied to any other person/organization either free of cost or on payment.
b. The user shall acknowledge the source of data and supply copies of the research work/articles (published/unpublished) to PBS.
Use of the dataset must be acknowledged using a citation which would include:
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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Federal Bureau of Statistics | Statistics Division, Government of Pakistan | pbs@pbs.gov.pk | www.pbs.gov.pk |
Microdata Library | World Bank | microdatalib@worldbank.org |
DDI_PAK_2007_LFS_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | World Bank | Ducumentation of the DDI |
2013-08-26
Version 01 (August 2013)