DDI_PAK_2009_LFS_v01_M_WB Development Economics Data Group 2014-10-24 NADA Version 01 (October 2014) Labour Force Survey 2009-2010 LFS 2009-10 PAK_2009_LFS_v01_M Federal Bureau of Statistics (FBS) NADA Government of Pakistan Pakistan Bureau of Statistics Labor Force Survey [hh/lfs] 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 2009-10 Labour Force Survey is the twenty ninth LFS study conducted in the Pakistan. The main objective of the survey is to collect comprehensive statistics on various dimensions of the country's labour force to pave the way for skills development, planning, employment creation, assessing the role and importance of informal sector and sizing up the volume, characteristics and counters 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, unpaid 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. Pakistan National coverage - Households - Individuals/ persons aged 10 years and above The universe for Labour Force Survey consistsed 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. Sample survey data [ssd] The scope of 2009-2010 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 Federal Bureau of Statistics Sample Design: A stratified two-stage sample design was adopted for the survey. Sampling Frame: Federal Bureau of Statistics (FBS) 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 through Economic Census 2003 and the list of villages/mouzas/dehs of 1998 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 were considered as large cities. Each of these cities constituted 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 was grouped together to form a stratum. Rural Domain: Each administrative district in the Punjab, Sindh and Khyber Pakhtunkhwa (KP) was considered an independent stratum whereas in Balochistan, each administrative division constituted a stratum. Selection of primary sampling units (PSUs): Enumeration blocks in urban domain and mouzas/dehs/villages in rural were taken as Primary Sampling Units (PSUs). In the urban domain, sample PSUs from each ultimate stratum/sub-stratum were selected with probability proportional to size (PPS) method of sampling scheme. In urban domain, the number of households in an enumeration block as updated through Economic Census 2003 and village population of 1998 Census for rural domain was considered as measure of size. Selection of secondary sampling units (SSUs): The listed households of sample PSUs were 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 36400 households was considered appropriate to provide reliable estimates of key labour force characteristics at National/Provincial level. The entire sample of households (SSUs) was drawn from 2576 Primary Sampling Units (PSUs) out of which 1204 were urban and 1372 were rural. The overall sample was distributed evenly over four quarters independently. As urban population was more heterogeneous therefore, a higher proportion of sample size was allocated to urban domain. To produce reliable estimates, a higher proportion of sample was assigned to Khyber Pk 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 was made proportionately. Face-to-face [f2f] The questionnaire consisted of 10 sections. 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. In order to evolve dynamics of field enumeration in line with the survey's objectives, training was imparted to the concerned staff on interviewing techniques and other procedure to be used in the enumeration. For quality control, supervisors from Regional/Field Offices and headquarter, made frequent field visits to keep the collection process on track. Method of Data Collection Data were collected by direct interview method. Generally, the head of household was 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 was interviewed. The total sample for the year was evenly distributed for enumeration on quarterly basis to offset the effect of seasonal variations. The information collected however related to the week preceding the date of enumeration. Soon after data collection, the supervisors edited, checked and cleaned the filled-in questionnaires manually for consistency and completeness and referred back to field where necessary. Editing and coding was done at headquarter by the subject matter section. Computer edit checks were 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 were further edited and rectified through a series of computer processing stages. Pakistan Bureau of Statistics Pakistan Bureau of Statistics http://www.pbs.gov.pk/content/data-dissemination Cost: Payment required 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. Pakistan Bureau of Statistics 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 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. 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The user will also supply diskettes/magnetic tapes etc. to PBS for collecting the data. b. A user in the foreign country may remit the charges as per schedule given hereinafter. The amount in US Dollar may be transferred to: USA Correspondent Bank: National Bank of Pakistan 100 Wall Street, 21st. Floor, New York, NY 10005, USA SWIFT Code: NBPAUS33 ABA No: 026004721 Beneficiary Bank: National Bank of Pakistan Main Branch, Islamabad SWIFT Code: NBPAPKKA021 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.