Integrated Household Survey 1995-1996
Pakistan, 1995 - 1996
Federal Bureau of Statistics
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March 29, 2019
Last modified
March 29, 2019
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Identification
Survey ID Number
PAK_1995_IHS_v01_M
Title
Integrated Household Survey 1995-1996
Country
| Name | Country code |
|---|---|
| Pakistan | PAK |
Study type
Integrated Survey (non-LSMS) [hh/is]
Series Information
The PIHS is to be administered in four annual rounds.
Abstract
The objective of the Pakistan Integrated Household Survey (PIHS), a national sample survey, is to provide household and community level data which can be used to monitor, evaluate, and assess the impact of Social Action Program (SAP). More generally, data collected in this survey also provides a valuable data base that can also be used to carry out research on a wide range of topics and issues.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Federal Bureau of Statistics | Statistics Division, Government of Pakistan |
Sampling
Sampling Procedure
Sampling strategy:
A two-stage sampling strategy was adopted for the 1995-96 PIHS surveys. At the first sampling stage, a number of clusters or Primary Sampling Units (PSUs) were selected from different parts of the country. Enumerators then compiled lists of all households residing in the selected PSUs. At the second sampling stage, these lists were subsequently used to select a fixed number of households from each PSU for interviews using a systematic sampling procedure with a random start. This two-stage sampling strategy was used in order to reduce survey costs, and to improve the efficiency of the sample. The number of PSUs to be drawn from each strata in the first stage was fixed so as to ensure that there were enough observations to allow representative statistics to be derived for each main strata of interest.
Use of this particular sampling procedure means that households residing in different parts of the country have been selected for the PIHS survey with differing probabilities of selection. In order to derive representative statistics for each of the provinces, as well as for the country as a whole, raising factors (i.e. sampling weights) need to be applied to the data. These weights take into account the sampling strategy adopted in the survey, and result in data for different households being weighted by a factor that is inversely proportional to their probability of selection in the survey sample.
In the first data collection round, carried out between June 1995 and June 1996, some 12,640 households living in 896 different primary sampling units (PSUs) selected throughout the country were interviewed. In each of the selected PSUs, a fixed number of households were selected at random (12 in urban PSUs, 16 in rural PSUs), and a detailed household questionnaire was administered to each of them. In addition, in each PSU, a community questionnaire was also completed which gathered information on the quality of infrastructure, the provision of services, and consumer prices prevailing in the community.
A two-stage sampling strategy was adopted for the 1995-96 PIHS surveys. At the first sampling stage, a number of clusters or Primary Sampling Units (PSUs) were selected from different parts of the country. Enumerators then compiled lists of all households residing in the selected PSUs. At the second sampling stage, these lists were subsequently used to select a fixed number of households from each PSU for interviews using a systematic sampling procedure with a random start. This two-stage sampling strategy was used in order to reduce survey costs, and to improve the efficiency of the sample. The number of PSUs to be drawn from each strata in the first stage was fixed so as to ensure that there were enough observations to allow representative statistics to be derived for each main strata of interest.
Use of this particular sampling procedure means that households residing in different parts of the country have been selected for the PIHS survey with differing probabilities of selection. In order to derive representative statistics for each of the provinces, as well as for the country as a whole, raising factors (i.e. sampling weights) need to be applied to the data. These weights take into account the sampling strategy adopted in the survey, and result in data for different households being weighted by a factor that is inversely proportional to their probability of selection in the survey sample.
In the first data collection round, carried out between June 1995 and June 1996, some 12,640 households living in 896 different primary sampling units (PSUs) selected throughout the country were interviewed. In each of the selected PSUs, a fixed number of households were selected at random (12 in urban PSUs, 16 in rural PSUs), and a detailed household questionnaire was administered to each of them. In addition, in each PSU, a community questionnaire was also completed which gathered information on the quality of infrastructure, the provision of services, and consumer prices prevailing in the community.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1995 | 1996 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
Household and community questionnaires:
At the individual and household level, the PIHS collected information on a wide range of activities using an integrated questionnaire. The household questionnaire comprised a number of different modules, each of which collected information on a particular aspect of household behaviour and welfare. Data was collected on the educational attainment, health status, and employment activities of all household members. In addition, information was also collected on the maternity history and family planning practices for all eligible household members. Finally, data was collected on the household's consumption of goods and services in the past year, as well as on housing conditions and access to basic services and amenities.
As the maternity history and family planning sections of the PIHS questionnaire were deemed too sensitive for male interviewers to administer directly to women, female interviewers were included in each of the field teams. This allowed the household questionnaire to be split into two parts. One part was administered to male members 10 years and older and the other to all female members. Children under 10 years were covered in the female questionnaire. Barring exceptional circumstances where the individuals were not at home or unable to answer for themselves, all individual level information was obtained directly from each household member.
Data was also collected through the community questionnaire on the quality of infrastructure in the PSU, as well as the range of publicly and privately provided services (education, health, family planning, and water supply and sanitation) in the community. Information was also collected in the community questionnaire on each government health facility and primary school in the PSU. This part included questions on staffing at the facility, the quality of infrastructure, as well as the utilisation of services by members of the community.
The questionnaires include the following sections:
Female
1. Household Information (All)
2. Education (All)
a. Literacy
b. Formal Education
c. Vocational Training
d. Parental Attitudes
3. Health
a. Diarrhoea (Female Questionnaire only)
b. Immunization (Female Questionnaire only)
c. Other Illnesses or injuries (All)
d. Disabilities (All)
4. Marriage and Maternal History
a. Pregnancy History (Female Questionnaire only)
b. Family Planning (Female Questionnaire only)
c. Maternity History (Female Questionnaire only)
d. Maternal Mortality (Female Questionnaire only)
e. Men's Marriage History (Male Questionnaire only)
5. Employment and Income (All)
a. Employment
b. Income
6. Housing (Male Questionnaire only)
7. Access to Facilities
8. Household Consumption
Community and Price Questionnaire
1. Community Characteristics
2. Health Facilities Questionnaire
3. Primary School Questionnaire
4. Consumer Price Questionnaire
At the individual and household level, the PIHS collected information on a wide range of activities using an integrated questionnaire. The household questionnaire comprised a number of different modules, each of which collected information on a particular aspect of household behaviour and welfare. Data was collected on the educational attainment, health status, and employment activities of all household members. In addition, information was also collected on the maternity history and family planning practices for all eligible household members. Finally, data was collected on the household's consumption of goods and services in the past year, as well as on housing conditions and access to basic services and amenities.
As the maternity history and family planning sections of the PIHS questionnaire were deemed too sensitive for male interviewers to administer directly to women, female interviewers were included in each of the field teams. This allowed the household questionnaire to be split into two parts. One part was administered to male members 10 years and older and the other to all female members. Children under 10 years were covered in the female questionnaire. Barring exceptional circumstances where the individuals were not at home or unable to answer for themselves, all individual level information was obtained directly from each household member.
Data was also collected through the community questionnaire on the quality of infrastructure in the PSU, as well as the range of publicly and privately provided services (education, health, family planning, and water supply and sanitation) in the community. Information was also collected in the community questionnaire on each government health facility and primary school in the PSU. This part included questions on staffing at the facility, the quality of infrastructure, as well as the utilisation of services by members of the community.
The questionnaires include the following sections:
Female
1. Household Information (All)
2. Education (All)
a. Literacy
b. Formal Education
c. Vocational Training
d. Parental Attitudes
3. Health
a. Diarrhoea (Female Questionnaire only)
b. Immunization (Female Questionnaire only)
c. Other Illnesses or injuries (All)
d. Disabilities (All)
4. Marriage and Maternal History
a. Pregnancy History (Female Questionnaire only)
b. Family Planning (Female Questionnaire only)
c. Maternity History (Female Questionnaire only)
d. Maternal Mortality (Female Questionnaire only)
e. Men's Marriage History (Male Questionnaire only)
5. Employment and Income (All)
a. Employment
b. Income
6. Housing (Male Questionnaire only)
7. Access to Facilities
8. Household Consumption
Community and Price Questionnaire
1. Community Characteristics
2. Health Facilities Questionnaire
3. Primary School Questionnaire
4. Consumer Price Questionnaire
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Federal Bureau of Statistics | Statistics Division, Government of Pakistan | pbs@pbs.gov.pk | http://www.pbs.gov.pk/content/data-dissemination |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Federal Bureau of Statistics | Division of Statistics, Government of Pakistan | pbs@pbs.gov.pk | www.pbs.gov.pk |
| Microdata Library | microdatalib@worldbank.org | microdatalib@worldbank.org |
Confidentiality
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.
Access conditions
a. The user shall provide an undertaking that the data collected from PBS will not be supplied to any other person/organization either free of cost or on payment.
b. The user shall acknowledge the source of data and supply copies of the research work/articles (published/unpublished) to PBS.
b. The user shall acknowledge the source of data and supply copies of the research work/articles (published/unpublished) to PBS.
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
- 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
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.
Metadata production
DDI Document ID
DDI_PAK_1995_IHS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | World Bank | Documentation of the DDI |
Date of Metadata Production
2013-08-26
DDI Document version
Version 01 (August 2013)