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Labour Force Survey 2013-14

Pakistan, 2013 - 2014
Reference ID
PAK_2013_LFS_v01_M
Producer(s)
Pakistan Bureau of Statistics
Metadata
DDI/XML JSON
Created on
May 31, 2023
Last modified
May 31, 2023
Page views
1190
Downloads
170
  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Access policy
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PAK_2013_LFS_v01_M

    Title

    Labour Force Survey 2013-14

    Country
    Name Country code
    Pakistan PAK
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    Federal Bureau of Statistics has been carrying out Labour Force Survey (LFS) since 1963. Along the way, the questionnaire and methodology of the survey have been undergoing pertinent improvements to keep current with best practices. The questionnaire was revised in 1990 to include probing questions on marginal economic activities, likely to be carried out mostly by women and tend to go unrecorded with conventional questions. The questionnaire was further improved in 1995 to reckon with the size and composition of migration and informal sector. The scope of the survey was extended in 2001-02 to take the stock of occupational safety and health of employed persons. The questionnaire was further articulated for undertaking 1st quarterly LFS 2005-06.

    The 2013-14 Labour Force Survey is the 32nd LFS study conducted in the Pakistan.

    Abstract

    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:

    • To collect data on the socio-demographic characteristics of the total population i.e. age, sex, marital status, level of education, current enrolment and migration etc;
    • To acquire current information on the dimensions of national labour force; i.e. number of persons employed, unemployed, and underemployed or out of labour market;
    • To gather descriptive facts on the engagement in major occupational trades and the nature of work undertaken by the institutions/organizations;
    • To profile statistics on employment status of the individuals, i.e. whether they are employers, own account workers, contributing family workers or paid employees (regular/casual);
    • To classify non-agricultural enterprises employing household member(s) as formal and informal;
    • To quantify the hours worked at main/subsidiary occupations;
    • To provide data on wages and mode of payment for paid employees;
    • To make an assessment of occupational health and safety of employed persons by causes, type of treatment, conditions that caused the accident/injury and time of recovery; and
    • To collect data on the characteristics of unemployed persons i.e. age, sex, level of education, previous experience if any, occupation, industry, employment status related to previous job, waiting time invested in the quest for work, their availability for work and expectations for future employment.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Household
    • Individuals/ persons aged 10 years and above

    Scope

    Notes

    The scope of 2013-2014 Labour Force Survey covered the following topics:

    • Household identification (including geographic area identification)
    • Field operations
    • Household composition and demographic information (relationship to the head, present status, gender, age, literacy, education level, current enrolment, technical/vocational training and migration)
    • Current activity of all household members (10 years and over)
    • Underemployment
    • Occupational injuries/ diseases (all employed persons)
    • Unemployment
    • All persons 10 years of age and above work activity

    Coverage

    Geographic Coverage

    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 737 households due to non contact and refusal cases in urban and rural areas.

    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 FATA and military restricted areas. The population of excluded areas constitutes about 2% of the total population. The following groups were also excluded non-settled population, persons living in institutions and foreigners.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Pakistan Bureau of Statistics Statistics of Dicision, Government of Pakistan
    Funding Agency/Sponsor
    Name Role
    Government of Pakistan Financial role

    Sampling

    Sampling Procedure

    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 urban areas. 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 list of enumeration blocks as updated from field on the prescribed proforma by Quick Count technique in 2013 for urban and the list of villages/mouzas/dehs or its part (block), updated during House Listing in 2011 for conduct of Population Census are taken as sampling frames.

    Enumeration blocks & villages are considered as Primary Sampling Units (PSUs) for urban and rural domains respectively.

    Stratification Plan

    Urban Domain: Large cities 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: In all the four provinces after excluding the population of large cities from the population of an administrative division, the remaining urban population is grouped together to form a 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 urban domain and mouzas/dehs/villages in rural are taken as Primary Sampling Units (PSUs). In the urban domain, sample PSUs from each ultimate stratum/sub-stratum are selected with probability proportional to size (PPS) method of sampling scheme. In urban domain, the number of households in an enumeration block by Quick Count technique in 2013 and village or its part (block), updated during House listing in 2011 for conduct of Population Census are taken as sampling frames for rural domain is 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, 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 41,484 households is considered appropriate to provide reliable estimates of key labour force characteristics at National/Provincial level. The entire sample of households (SSUs) is drawn from 2887 Primary Sampling Units (PSUs) out of which 1710 are rural and 1177 are urban. The overall sample has been distributed evenly over four quarters independently. As urban population is more heterogeneous therefore, a higher proportion of sample size is allocated to urban domain. To produce reliable estimates, a higher proportion of sample is assigned to Khyber Pakhtunkhwa 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

    Response Rate

    98.2%

    Survey instrument

    Questionnaires

    Structured questionnaire.

    Instrument development

    The questionnaire consisted of 10 sections.
    To keep current with best practices, the questionnaire was revised in 1990 to include probing questions on marginal economics activities, likely to be carried out mostly by women and tend to go unrecorded with conventional questions.
    The questionnaire was further improved in 1995 to reckon with the size and composition of migration and informal sector. The scope of the survey was extended in 2001-02 to take the stock of occupational safety and health of employed persons. The questionnaire was further articulated for undertaking 1st quaterly LFS 2005-06. This practice has since been continuing.

    Data collection

    Dates of Data Collection
    Start End
    2013-07 2014-06
    Frequency of Data Collection

    Quarterly.

    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation
    Pakistan Bureau of Statistics Government of Pakistan
    Supervision

    It has 34 Regional/Field Offices located all over Pakistan that are equipped and manned with regular and trained field staff for the collection of data from the field.

    For quality control, supervisors from Regional/Field Offices and headquarter, make frequent field visits to keep the collection process on track.

    Soon after data collection, the supervisors edit, check and clean the filled-in questionnaires manually for consistency and completeness and refer back to field where necessary.

    Data Collection Notes

    Field Operation
    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 the collection of data from the field.

    Method of Data Collection
    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.

    Data processing

    Data Editing

    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. The relevant numerical techniques were used to eliminate erroneous data resulting from mistakes made during coding. The survey records are further edited through series of computer processing stages.

    Data appraisal

    Data Appraisal

    Notwithstanding complete observance of the requisite codes to ensure reliability of data, co-efficient of variations, computed in the backdrop of 5% margin of error exercised for determining sample size, are also given below to affirm the reliability of estimates.

    Access policy

    Location of Data Collection

    Pakistan Bureau of Statistics

    Archive where study is originally stored

    Pakistan Bureau of Statistics
    http://www.pbs.gov.pk/content/data-dissemination
    Cost: Payment required.

    Data Access

    Access authority
    Name Affiliation URL
    Pakistan Bureau of Statistics Government of Pakistan http://www.pbs.gov.pk/content/data-dissemination
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The responses from interviewees are confidential and generate only by the Pakistan Bureau of Statistics. 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.
    Access conditions

    Dissemination Policy

    Level/Format of Data to be supplied

    To maintain the confidentiality of statistical data, the micro level data may be supplied on tapes/diskettes after removing the micro-level identification only after publication of report.

    Terms and Conditions for Data User/Researcher

    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.

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    Pakistan Bureau of Statistics. Labour Force Survey (LFS) 2013-2014. Ref: PAK_2013_LFS_v01_M. Downloaded from [uri] on [date]

    Disclaimer and copyrights

    Disclaimer

    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.

    Contacts

    Contacts
    Name Affiliation Email
    Pakistan Bureau of Statistics Government of Pakistan pbs@pbs.gov.pk

    Metadata production

    DDI Document ID

    DDI_PAK_2013_LFS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Group Documentation of the DDI
    Date of Metadata Production

    2020-10-08

    Metadata version

    DDI Document version

    v01 (October 2020)

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