Integrated Household Survey 2001-2002
Pakistan, 2001 - 2002
Identification
PAK_2001_IHS_v01_M
Integrated Household Survey 2001-2002
Fourth Round
| Name | Country code |
|---|---|
| Pakistan | PAK |
Integrated Survey (non-LSMS) [hh/is]
Pakistan Integrated Household Survey (PIHS) 2001-2002 (Round-IV) is the second PIHS after the merger of Household Integrated Economic Survey (HIES) with Pakistan Integrated Household Survey (PIHS) in 1998-99. Previous PIH Surveys were carried out in 1998-99 (Round-III), 1996-97 (Round-II),1995-96 (Round-I) and 1991.
In 1998, the HIES data collection methods and questionnaire were changed to reflect the integration of the HIES with the Pakistan Integrated Household Survey (PIHS).The same questionnaire with minor improvements and data collection methods have been used for the 2001-02 survey, i.e. Income and Expenditure (Round-IV of PIHS).
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). Policymakers need to know; whether the poor have benefited from the program or whether increased government expenditure on the social sectors has been captured by the better off. In order to do this, a measure of living standards is needed so that benefits from public investment in social services can be compared across different income groups. For this purpose, PIHS includes a measure of household consumption (expenditure on goods and services) against which many of the outcome variables are tabulated. 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.
Sample survey data [ssd]
- Households
- Individuals
Scope
The survey covers themes including:
I. Rural Communities
- Topographic Characteristics
- Infrastructure (Roads, Housing, Electricity, Gas, Water, Sanitation and Waste disposal)
- Local Transport and Access to Economic Services
- Health - General,Facilities Visited
- Education - General, Schools Visited
II. Male and Female
- Household Information
- Employment, Income and Migration (Ages 10 and older)
- Education
o Literacy (Ages 10 and older)
o Formal Education (Ages 4 and older)
o Enrolment Status (Ages 4 and older) - Health
o Diarrhoea (Ages 5 and older)
o Immunization (Ages 5 and older)
III. Female
- Health
o Pregnancy History (Ages 15-49)
o Maternity History (All Ever Married Women Aged 15-49 Years)
o Family Planning (All Currently Married Women Aged 15-49)
o Pre and Post-Natal Care (All Ever Married Women Aged 15-49)
o Women in Decision Making (All Women Aged 15-49) - Household Expenditure
o Fortnightly (Two Week) Consumption Expenditure of the Household on Food Items
o Monthly Consumption Expenditure of the Household on Non-Durable Goods and Services
IV. Male
- Housing
- Household Expenditure
o Monthly Consumption Expenditure of the Household on Non-Durable Goods and Services
o Yearly Consumption Expenditure of the Household on Non-Durable Goods and Services
o Yearly Consumption Expenditure of the Household on Durable Goods and Services
o Selected Durable Consumption Items Owned/Sold By The Household
o Buildings and Land Owned By Members of This Household - Agriculture
o Land Utilization and Crop Harvesting
o Livestock, Poultry, Fish, Forestry, Honey Bee etc - Non-Agricultural Establishment
o Operating Expenses (General and Special)
o Revenues
V. Balance Sheet for Income and Expenditure
Coverage
National
The universe of PIH Survey consists of all urban and rural areas of all four provinces, Azad Jammu and Kashmir, FATA and Northern Areas as defined by the Provincial Governments. Military restricted areas have been excluded from the scope of the survey.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Federal Bureau of Statistics | Government of Pakistan |
| Name | Role |
|---|---|
| Government of Pakistan | Funding |
Sampling
Sampling Frame:
Separate sampling frames have been used in the survey for urban areas and rural areas as under.
Urban area:
FBS has developed its own urban area frame. This frame has been developed adopting Quick Count Record Survey techniques. According to this method, all urban areas know as cities/towns of the urban domain of the sampling frame have been divided into small compact areas known as enumeration blocks (E.Bs). Each enumeration block comprises about 200-250 households. Each Enumeration block has been divided into low, middle and high-income group, keeping in view the status of the majority of households. It will be used for drawing samples from the urban areas. There are 22800 enumeration blocks in all urban areas of the country.
Rural areas:
With regard to the rural areas, the lists of villages/mouzas/dehs according to population Census, 1998 have been used as sampling frame. In this frame, each village/mouza/deh is identifiable by its name, Had Bast number and Cadastral map etc. There are 50,588 mouzas/villages/dehs in the rural sub-universe of the survey
Sample size and its Allocation:
In view of the variability for the characteristics for which estimates are prepared, population distribution, field resources available and reliability constraints a sample size of 1,6400 households was considered appropriate to provide reliable estimates of key characteristics. The entire sample of households ((SSUs) has been drawn from 1150 Primary Sampling Units (SSUs) out of which 500 are urban and 650 are rural. This sample size has been considered sufficient to produce estimates of key variables at national and provincial level at 95% level of confidence with 5% to 7% margin of error.
Due to security situation prevailing in FATA, 8 sample villages were not enumerated. Similarly, 90 sample households were not covered due to non-response/closed/non-contact and non-cooperation from the respondents in this Survey.The total number of sampling units covered is tabulated on page 21 of the HIES report
Stratification Plan:
Stratification scheme is adopted keeping in view the geographical level of estimates to be built-up and to control the variation in the under study characteristics of the survey population.The detail of the scheme is as under.
Urban Area:
With respect to the urban areas each of Karachi, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Sialkot, Sargodha, Bahawalpur, Hyderabad, Sukkur, Peshawar, Quetta and Islamabad being large size cities have been treated as independent stratum. Each of these cities has further been substratified according to low, middle, high-income groups based on the information collected in respect of each enumeration block. After excluding the population of large sized cities the remaining urban population in each defunct administrative division in all provinces has been grouped and treated as an independent stratum. Each of Azad Jammu & Kashmir, FATA and Northern Areas has been considered as independent strata separately.
Rural Area:
In the rural areas, the population of each district in Punjab, Sindh and N.W.F.P Provinces has
been grouped together to constitute a stratum. For Balochistan province each of defunct administrative Division has been taken as a stratum. Azad Jammu & Kashmir FATA and Northern
Areas have been considered as independent strata in rural areas separately.
Sample Design:
A two-stage stratified sample design has been adopted for this survey.
Selection of primary sampling Units (PSUs).
Enumeration blocks in the urban domain and mouzas/dehs/villages in rural domain have been taken as primary sampling units (PSUs). Sample PSUs from each ultimate stratum/sub-stratum have been selected by probability proportional to size (PPS) method of sampling scheme. In this survey population of rural areas and households for urban areas have been adopted as measure of size for selecting Primary Sampling Units (PSUs) from the strata/ sub-strata formed in urban and rural subuniverses of the survey.
Selection of Secondary Sampling Units (SSUs):
Households within each sample Primary Sampling Units (PSU) have been considered as secondary sampling units (SSUs). 16 and 12 households have been selected from each sample village and enumeration block respectively by random systematic sampling scheme with a random start.
90 sample households were not covered due to non-response/closed/non-contact and non-cooperation from the respondents in this Survey
Survey instrument
The HIES questionnaire, revised to reflect integration with PIHS and improved data collection methods were used for the 2001-02 survey i.e. Income and Expenditure (Round- IV of PIHS). The questionnaire was split into two modules in order to obtain better quality of information separately from male and female respondents by the male and female enumerators respectively. Specifically, minor changes were made in the part containing the consumption expenditure items. To obtain the better quality of data from the well-informed female respondents, the relevant parts of consumption expenditure of food and non-food items have been included in the female part of the questionnaire. Information which is considered to be answered better by the male household respondents is included in the male part of the questionnaire. The structure of the new PIHS / HIES questionnaire used in 1998-99 and 2001-02 is shown in table 1.3 of the Survey Report
Data collection
| Start | End |
|---|---|
| 2001 | 2002 |
Before merging of HIES with PIHS in 1998-99, the data of HIES surveys was collected by male enumerators using public transport where only male household members could be interviewed. From the year 1998-99 under the PIHS the income and consumption data of the HIES Survey is now collected by mobile teams of both male and female enumerators under the day-to-day management of a team supervisor. Female enumerators in each field team interview the female household members as well as male enumerator collects the data from the male respondents
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Federal Bureau of Statistics | Government of Pakistan | http://www.pbs.gov.pk | pbs@pbs.gov.pk |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
I. 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.
II. Terms and Conditions for Data User/Researcher
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.
III. Confidentiality of Information
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.
IV. Cost of Data
a. Data collection, compilation and its processing involve huge cost. Therefore, it has been decided that the data users (other than government agencies) must share the cost of data. The charges of data to be recovered from users are given in the following schedule. The amount will be deposited in the Government treasury by the user and a copy of the challan/receipt will be provided to PBS. 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:
CHASE MANHATTAN BANK NEW YORK SWIFT CHASUE33 A/C NO. 0011684586 of National Bank of Pakistan 100 WALL Street NEW YORK Routing No. 026004721 SWIFT NBPAUS33. For further credit to National Bank of Pakistan Main Branch Islamabad Swift NBPAPKKAA021 to be credited to Head of Account
C 024 - GENERAL ADMN. RECEIPTS - STATISTICS
C 02401 - SALES OF CENSUS PUBLICATIONS
V. Deposit of Sale Procedures
The Payment in Pak rupees and the Bank Draft in Foreign exchange received from a foreign user from abroad will be deposited to the Government Treasury/National Bank of Pakistan, Main Branch, Islamabad under the appropriate Head of Accounts as under:
C 024 - GENERAL ADMN. RECEIPTS
C 02401 - SALES OF CENSUS PUBLICATIONS
C 02470 - Statistics - OTHERS
VI. Data supply free of Cost
a. The data will be supplied free of cost to Govt. Departments, Govt. Controlled Research Institutions Like PIDE, NIPS, State Bank of Pakistan, Universities and UN/International Organization like UN Statistics Division, IMF, ECO, OIC, World Bank, Asian Development Bank, ESCAP, and UNESCO.
b. The PBS may supply micro data set on floppy diskettes on complimentary basis to any individual researchers/organization with the approval of competent authority on "Data Exchange Basis" or "Joint Research Analysis Purpose".
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 Federal Bureau of Statistics. Pakistan Integrated Household Survey 2001-2002, Fourth Round. Ref. PAK_2001_IHS_v01_M. Dataset downloaded from [website/source] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Federal Bureau of Statistics | Government of Pakistan | pbs@pbs.gov.pk | http://www.pbs.gov.pk |
Metadata production
DDI_PAK_2001_IHS_v01_M
| Name | Role |
|---|---|
| World Bank, Development Economics Data Group | Generation of DDI documentation |
2012-06-06
Metadata version
Version 01 (June 2012)