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Labour Force Survey 2017-2018

Pakistan, 2017 - 2018
Reference ID
PAK_2017_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
564
Downloads
225
  • Study Description
  • Downloads
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PAK_2017_LFS_v01_M

    Title

    Labour Force Survey 2017-2018

    Country
    Name Country code
    Pakistan PAK
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    Pakistan Bureau of Statistics has been carrying out Labour Force Survey (LFS) since 1963. The LFS is conducted annually.

    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
    • Individual (10yrs or older)

    Version

    Version Description

    -v01

    Scope

    Notes

    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

    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 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.

    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.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Pakistan Bureau of Statistics Statistics Division, Government of Pakistan

    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 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.

    Survey instrument

    Questionnaires

    Structured

    Data collection

    Dates of Data Collection
    Start End
    2017-07 2018-06
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation
    Pakistan Bureau of Statistics Government of Pakistan
    Supervision

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

    Data Collection Notes

    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.

    Data appraisal

    Data Appraisal

    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.

    Data Access

    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) 2017-2018. Ref: PAK_2017_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 URL
    Pakistan Bureau of Statistics Statistics Division, Government of Pakistan http://www.pbs.gov.pk/contact

    Metadata production

    DDI Document ID

    DDI_PAK_2017_LFS_v01_M_WB

    Producers
    Name Role
    Development Data Group Documentation of the DDI
    Date of Metadata Production

    2020-10-13

    Metadata version

    DDI Document version

    Version 01 (October 2020)

    Version date

    2020-10-05

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