Social and Living Standards Measurement Survey 2013-2014
Pakistan, 2013 - 2014
Created on
Jan 18, 2017
Last modified
Mar 29, 2019
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Identification
Survey ID Number
PAK_2013_PSLM_v01_M
Title
Social and Living Standards Measurement Survey 2013-2014
Country
| Name | Country code |
|---|---|
| Pakistan | PAK |
Study type
Other Household Survey [hh/oth]
Series Information
Pakistan Social and Living Standards Measurement Survey (PSLM) was started in the year 2004 and conducted up to 2015. PSLM 2013-2014 is the 9th round, preceded by:
PSLM 2004-2005; 2005-2006; 2006-2007; 2007-2008; 2008-2009; 2010-2011; 2011-2012; 2012-2013, and followed by PSLM 2014-2015.
PSLM 2004-2005; 2005-2006; 2006-2007; 2007-2008; 2008-2009; 2010-2011; 2011-2012; 2012-2013, and followed by PSLM 2014-2015.
Abstract
The PSLM Project is designed to provide Social & Economic indicators in the alternate years at provincial and district levels. The project was initiated in July 2004 and will continue up to June 2015. The data generated through surveys is used to assist the government In formulating the poverty reduction strategy as well as development plans at district level and for the rapid assessment of program in the overall context of MDGs. As such this survey is one of the main mechanisms for monitoring MDGs indicators. It provides a set of representative, population-based estimates of social indicators and their progress under the PRSP/MDGs. For Millennium Development Goals (MDGs), UN has set 18 targets for 48 indicators for its member countries to achieve by 2015. Pakistan has committed to implement 16 targets and 37 indicators out of which 6 targets and 13 indicators are monitored through PSLM Surveys. The PSLM surveys are conducted at district level and at Provincial level respectively at alternate years. PSLM District level survey collects information on key Social indicators whereas through provincial level surveys (Social & HIES) collects information on social indicators as well as on Income and Consumption while in specific sections also information is also collected about household size; the number of employed people and their employment status, main sources of income; consumption patterns; the level of savings; and the consumption of the major food items. However, Planning Commission also uses this data for Poverty analysis.
Another important objective of the PSLM Survey is to try to establish the distributional impact of development programs; whether the poor have benefited from the program or whether increased government expenditure on the social sectors has been captured by the better off. The sample size of PSLM surveys district level is approximately 80000 households and approximately 18000 at Provincial level.
Main Indicators: Indicators on Demographic characteristics, Education, Health, Employment, Household Assets, Household Amenities, Population Welfare and Water Supply & Sanitation are developed at National/Provincial /District levels.
Another important objective of the PSLM Survey is to try to establish the distributional impact of development programs; whether the poor have benefited from the program or whether increased government expenditure on the social sectors has been captured by the better off. The sample size of PSLM surveys district level is approximately 80000 households and approximately 18000 at Provincial level.
Main Indicators: Indicators on Demographic characteristics, Education, Health, Employment, Household Assets, Household Amenities, Population Welfare and Water Supply & Sanitation are developed at National/Provincial /District levels.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households and Individuals
Scope
Notes
The data generated though PSLM Survey will be used to assist the government in formulating the poverty reduction strategy in the overall context of MDGs. The indicators will be developed at National/overall Provincial level in the following sectors.
1. Education
2. Health
3. Water Supply & Sanitation.
4. Population Welfare
5. Income & Expenditure
1. Education
2. Health
3. Water Supply & Sanitation.
4. Population Welfare
5. Income & Expenditure
Coverage
Geographic Coverage
National coverage
Geographic Unit
Province
Universe
The universe of this survey consists of all urban and rural areas of all four provinces, AJK and Gilgit Baltistan. FATA and Military restricted areas have been excluded from the scope of the survey.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Federal Bureau of Statistics | Government of Pakistan |
Sampling
Sampling Procedure
Sampling Frame:
Pakistan Bureau of statistics PBS has developed its own urban area frame. Each city/town is divided into enumeration blocks. Each enumeration block is comprised to 200-250 households on the average with well-defined boundaries and maps .The list of enumeration blocks as updated from field on the prescribed Performa 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 frame. Enumeration blocks and villages are considered as Primary Sampling Units (PSUs) for urban and rural domains respectively. A project to update the rural blocks is currently in hand.
Stratification Plan
Urban Areas:
Large sized cities having population five laces and above have been treated as independent stratum. Each of these cities has further been sub-stratified into low, middle and high income groups. The remaining cities/towns within each defunct administrative division have been grouped together to constitute an independent stratum.
Rural Areas:
The entire rural domain of a district for Khyber Pakhtunkhwa, Punjab, and Sindh provinces has been considered as independent stratum, whereas in Balochistan province defunct administrative division has been treated as stratum.
Sample Size and its Allocation:
To determine optimum sample size for this survey, 6 indicators namely Literacy rate, Net enrolment rate at primary level, Population 10+ that ever attended school, Contraceptive prevalence of women age 15-49 years, Children age 12-23 months who are fully immunized and post natal consultation for ever married women aged 15-49 years were taken into consideration. Keeping in view the prevalence of these indicators at different margin of errors, reliability of estimates and field resources available a sample of size 19620 households distributed over 1368 PSUs (567 urban and 801 rural) has been considered sufficient to produce reliable estimates in respect of all four provinces with urban rural breakdown, however data was collected from 1307 PSU’S by covering 17989 household.
Sample Design:
A two-stage stratified sample design has been adopted for this survey.
Selection of primary sampling Units (PSUs):
Enumeration blocks in urban and rural domains have been taken as PSUs. In urban and rural domains sample PSUs from each stratum have been selected by PPS method of sampling scheme; using households in each block as Measure of size (MOS).
Selection of Secondary Sampling Units (SSUs):
Households within PSU have been considered as SSUs. 16 and 12 households have been selected from urban/rural domains respectively by systematic sampling scheme with a random start.
Pakistan Bureau of statistics PBS has developed its own urban area frame. Each city/town is divided into enumeration blocks. Each enumeration block is comprised to 200-250 households on the average with well-defined boundaries and maps .The list of enumeration blocks as updated from field on the prescribed Performa 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 frame. Enumeration blocks and villages are considered as Primary Sampling Units (PSUs) for urban and rural domains respectively. A project to update the rural blocks is currently in hand.
Stratification Plan
Urban Areas:
Large sized cities having population five laces and above have been treated as independent stratum. Each of these cities has further been sub-stratified into low, middle and high income groups. The remaining cities/towns within each defunct administrative division have been grouped together to constitute an independent stratum.
Rural Areas:
The entire rural domain of a district for Khyber Pakhtunkhwa, Punjab, and Sindh provinces has been considered as independent stratum, whereas in Balochistan province defunct administrative division has been treated as stratum.
Sample Size and its Allocation:
To determine optimum sample size for this survey, 6 indicators namely Literacy rate, Net enrolment rate at primary level, Population 10+ that ever attended school, Contraceptive prevalence of women age 15-49 years, Children age 12-23 months who are fully immunized and post natal consultation for ever married women aged 15-49 years were taken into consideration. Keeping in view the prevalence of these indicators at different margin of errors, reliability of estimates and field resources available a sample of size 19620 households distributed over 1368 PSUs (567 urban and 801 rural) has been considered sufficient to produce reliable estimates in respect of all four provinces with urban rural breakdown, however data was collected from 1307 PSU’S by covering 17989 household.
Sample Design:
A two-stage stratified sample design has been adopted for this survey.
Selection of primary sampling Units (PSUs):
Enumeration blocks in urban and rural domains have been taken as PSUs. In urban and rural domains sample PSUs from each stratum have been selected by PPS method of sampling scheme; using households in each block as Measure of size (MOS).
Selection of Secondary Sampling Units (SSUs):
Households within PSU have been considered as SSUs. 16 and 12 households have been selected from urban/rural domains respectively by systematic sampling scheme with a random start.
Deviations from the Sample Design
Out of 1368 PSUs, of all four provinces 61 PSUs (11 urban and 50 rural PSUs) of Balochistan were dropped due to bad law and order situation and the remaining 1307 PSUs (556 urban and 751 rural) comprising 17989 households were covered.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2013-08 | 2014-06 | Fieldwork |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Questionnaires
Questionnaires
At both individual and household level, the PSLM Survey collects information on a wide range of topics using an integrated questionnaire. The questionnaire comprises a number of different sections, each of which looks at a particular aspect of household behavior or welfare. Data collected under Round IX includes education, diarrhea, immunization, reproductive health, pregnancy history, maternity history, family planning, pre and post-natal care and access to basic services.
Data Processing
Data Editing
Data quality in PSLM Survey has been ensured through a built in system of checking of field work by the supervisors in the field and by the in charge of the concerned Regional/Field offices. Teams from the headquarters also pay surprise visits and randomly check the work done by the enumerators. Regional/ Field offices ensured the data quality through preliminary editing at their office level. The entire data entry was carried at the PBS headquarter Islamabad and specially designed data entry programme had a number of built in consistency checks.
Data Appraisal
Data Appraisal
To determine the reliability of the estimates confidence interval and Standard error of important key indicators have been worked out and are attached at the end of each section of the survey report, provided under the 'Related Materials' tab
Access policy
Contacts
| Name | Affiliation | URL |
|---|---|---|
| Pakistan Bureau of Statistics | Government of Pakistan | Link |
Confidentiality
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.
Access conditions
- Licensed datasets, accessible under conditions
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,
Federal Bureau of Statistics. Pakistan Social & Living Standards Measurement Survey (PSLM) 2013-2014. Ref. PAK_2013_PSLM_v01_M. Dataset downloaded from [url] on [date].
- 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,
Federal Bureau of Statistics. Pakistan Social & Living Standards Measurement Survey (PSLM) 2013-2014. Ref. PAK_2013_PSLM_v01_M. Dataset downloaded from [url] on [date].
Access authority
| Name | Affiliation | URL |
|---|---|---|
| Pakistan Bureau of Statistics | Government of Pakistan | Link |
Location of Data Collection
Pakistan Bureau of Statistics
Archive where study is originally stored
Pakistan Bureau of Statistics
http://www.pbs.gov.pk/content/feedback
Cost: Payment required
http://www.pbs.gov.pk/content/feedback
Cost: Payment required
Metadata production
DDI Document ID
DDI_PAK_2013_PSLM_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2016-10-25
DDI Document version
Version 01 (October 2016)