PAK_2018_PSLM_v01_M
Pakistan Social and Living Standards Measurement Survey 2018-2019
Name | Country code |
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Pakistan | PAK |
Other Household Survey [hh/oth]
PSLM Survey was initiated in 2004 as Public Sector Development Program (PSDP) funded project and continued till 2015. Afterward, PSLM has become regular activity of Pakistan Bureau of Statistics (PBS). The survey was designed to provide Social & Economic indicators in the alternate years at provincial and district level. PSLM/HIES provincial level survey, provides information on Income and Consumption as well as on social indicators at National and Provincial level with urban/rural breakdown and by consumption quintiles. Ten rounds of PSLM/HIES have been completed till 2014-15.
Pakistan Social and Living Standards Measurements (PSLM), 2018-19 is the eleventh round of a series of surveys, initiated in 2004. Current round of PSLM (Social & Household Integrated Economic Survey (HIES)) at provincial level survey covered 24809 households and provide detailed outcome indicators on Education, Health, Population Welfare, Housing, Water Sanitation & Hygiene, Information Communication & Technology (ICT), Food Insecurity Experience Scale (FIES) and Income & Expenditure. This report contains result on main indicators whereas detail reports for Social indicators and HIES 2018-19 will be released separately.
The Pakistan Social & Living Standards Measurement Survey 2018-2019 is the main mechanism to provide data for:
Sample survey data [ssd]
Version 1
The 2018-2019 Pakistan Social and Living Measurement Survey covered the following topics:
Incorporated Modules:
National
Province
The universe for survey consists of all urban and rural areas of the four provinces of Pakistan, excluded military restricted areas. The areas of erstwhile FATA have now been covered in Khyber Pakhtunkhwa.
Name | Affiliation |
---|---|
Pakistan Bureau of Statistics | Government of Pakistan |
For the 2018-2019 Pakistan Social and Living Measurement Survey stratified two-stage sample design has been adopted for the survey.
Sampling Frame
The Pakistan Bureau of Statistics (PBS) has developed its own urban area frame. Each city or town is divided into enumeration blocks. Each enumeration block is comprised to 200-250 houses on the average with well-defined boundaries and maps. In urban areas each enumeration block is treated as PSU while in rural areas villages are divided into blocks with well-defined boundaries and maps and each separate block within village is considered as PSU.
Stratification Plan
There are two structured questionnaires (one for males and another one for females). The topics of the questionnaires include:
Incorporated Modules:
Start | End |
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2018-08 | 2019-06 |
Name | Affiliation | URL | |
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Pakistan Bureau of Statistics | Government of Pakistan | www.pbs.gov.pk | pbs@pbs.gov.pk |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
Use of the dataset must be acknowledged using a citation which would include:
Example,
Pakistan Bureau of Statistics. Pakistan Social & Living Standards Measurement Survey (PSLM) 2018-2019. Ref. PAK_2018_PSLM_v01_M. Dataset downloaded from [url] on [date].
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 | |
---|---|---|
Pakistan Bureau of Statistics | Government of Pakistan | pbs@pbs.gov.pk |
DDI_PAK_2018_PSLM_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-10-07
Version 01 (October 2020)