Labour Force Survey 2014
Pakistan, 2014 - 2015
Identification
PAK_2014_LFS_v01_M
Labour Force Survey 2014
| 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:
- 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.
Household/Individual
Scope
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
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 184 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 (42,292) is high as response rate is (99.56). 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.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Pakistan Bureau of Statistics | Statistics Division, Government of Pakistan |
Sampling
Sample Design: A stratified two-stage sample design is adopted for the survey.
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 and rural domain 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 42,292 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 2949 Primary Sampling Units (PSUs) out of which 1726 are rural and 1223 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. 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
Structured
Data collection
| Start | End |
|---|---|
| 2014-07-01 | 2015-06-30 |
Quarterly: average based on 3 monthly data points
- Face-to-face [f2f]
| Name | Affiliation |
|---|---|
| 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.
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
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) 2014-2015. Ref: PAK_2014_LFS_v01_M. Downloaded from [uri] on [date]
Metadata production
DDI_PAK_2014_LFS_v01_M_WB
| Name | Role |
|---|---|
| Development Data Group | Documentation of the DDI |
2020-10-05
Metadata version
Version 01
2020-10-05