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Household Income and Expenditure Survey 2009-2010

Papua New Guinea, 2009 - 2011
Reference ID
PNG_2009_HIES_v01_M
Producer(s)
National Statistical Office
Metadata
DDI/XML JSON
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
Page views
221838
Downloads
35110
  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PNG_2009_HIES_v01_M

    Title

    Household Income and Expenditure Survey 2009-2010

    Country
    Name Country code
    Papua New Guinea PNG
    Study type

    Income/Expenditure/Household Survey [hh/ies]

    Series Information

    The 2009-2010 Household Income and Expenditure Survey (HIES) is the third household expenditure survey conducted in Papua New Guinea (PNG), and is the second HIES conducted by the National Statistical Office (NSO) of PNG. The previous survey, the Household Survey of PNG, was conducted in 1996 by Unisearch and the Institute of National Affairs. The first household expenditure survey (the ‘HES’) was conducted in 1975-1976 by the NSO. It remains the source of the expenditure weights of the Consumer Price Index.

    Abstract

    The 2009-2010 HIES collected information on key topics such as family demography, education, health, employment and consumption. The scope of 2009-2010 HIES was broader than the previous survey, with more indicators and more households surveyed, including questions on living standards and other related subject areas. One key goal was to collect data on income and expenditure, and to enable a rebasing of the Consumer Price Index (CPI). This will assist future policy decisions and analysis to be better based on reliable evidence, such that they can better support improvements in the living standards of Papua New Guinea’s people.

    As the 2009-2010 HIES was a multi-topic survey, the following types of information were collected:

    1. Household level information on housing characteristics, ownership of consumer durables, non- food consumption, access to various types of public services, and incidence and resolution of different types of disputes.

    2. Person-level information on age, sex, education, health, employment status, receipt of remittances, and personal security. This was supplemented by anthropometric data for children aged six years or younger.

    3. Personal record of all food and nonfood purchases for 14 consecutive days for all household.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Household
    • Individual

    Version

    Version Description

    Version 02: There was an issue with the initial weight that only yield population as 5.047 million instead of 6.8-6.9 millions. To solve the issue, post_stratified weight (weight_ps) has been recalculated. The correct weight (weight_ps) is provided in weights_new dataset.

    Scope

    Notes

    The 2009-10 Papua New Guinea Household Income and Expenditure Survey covered the following topics:
    Household information
    General services available in the village
    Health services: location and accessibility
    Self-employment and family business activities
    Anthropometrics
    Household stocks
    Consumption/expenditure
    Main meals at this household
    Education
    Housing
    Disabilities
    Individual health
    Employment & labour
    Security
    Household business

    Coverage

    Geographic Coverage

    National

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Statistical Office Government of Papua New Guinea
    Producers
    Name Role
    The World Bank Technical assistance
    Funding Agency/Sponsor
    Name Role
    Government of Papua New Guinea Funding
    The World Bank Funding
    United Nations Children's Fund Funding
    Australian Aid for International Development Funding

    Sampling

    Sampling Procedure

    Sample Design
    PNG is the largest nation in the South Pacific in both land area and population. It is comprised of around 600 islands, and the interior of the country is mountainous. Administratively, the country is divided into 22 provinces, within four geographic regions:
    Southern Region comprising of the following provinces: Western, Gulf, Central, Milne Bay, Northern Oro, and the National Capital District
    Highlands Region comprising of the following provinces: Southern Highlands, Enga, Western Highlands, Chimbu, Eastern Highlands, Hela, and Jiwaka
    Momase Region comprising of the following provinces: Moroboe, Madang, East Sepik, and West Sepik
    Island Region comprising of Manus, New Ireland, East New Britain, West New Britain, and the Autonomous Region of Bougainville.

    A two-stage stratified cluster sample design was used in order to ensure independent estimates for the "rural", "urban", and "metro" areas of each of these regions. "Metro" denotes the two large urban centres of Port Moresby in Southern region and Lae in the Momase region. All the other urban areas in all regions were included in the "urban" stratum. The sample was thus divided into 10 strata. Sample size in each cluster was set to ensure reliable strata-level representative estimates; in addition, the sample size in the metropolitan areas was set large enough to support the development of a new CPI expenditure basket. In each stratum, households were chosen in two stages. In the first stage, using the sampling frame of the 2000 Census, clusters (or Primary Sampling Units) (PSU) were chosen using probability proportional to size. A full listing of households was done in all chosen clusters and a pre-set number of households were then selected randomly from this list. In the non-metropolitan areas, 18 households were chosen per cluster whereas in the metropolitan areas, 6 households were chosen per PSU. Replacement census units or replacement households in each cluster are used in the case of emergencies or when selected households could not be interviewed because of refusal, absence, illness in the family etc, were also selected using the same methodology.

    Weighting

    For the 2009-2010 HIES sample, the selection probabilities and raising factors are determined in accordance with the sample design described above. The probability of selecting a PSU(ij) in stratum i is
    p(ij) = m(i)n(ij)/n(i)

    where n(ij) is the number of households in the PSU (as reported by the 2000 Census), ni is the total number of households in the stratum (also as per the 2000 Census) and mi is the number of clusters selected in the stratum.

    The probability of selecting household ijk in PSUij of stratum i (in non-metro areas) is
    p(ijk) = p(ij) (18/n’(ij))

    where n’(ij) is the number of households in the PSU, following the household listing operation. The raising factor or weight w(ijk) for household ijk is the inverse of the selection probability p(ijk).

    Survey instrument

    Questionnaires

    The HIES is a complex application with a hierarchical set of questionnaires. For example, the main questionnaire consists of a household roster and other household information, and there are separate questionnaires for eligible members in the household. The data entry application may then contain two levels-one for the household and one for each eligible member in the household. The set of forms corresponding to the household, make up level one. The set of forms corresponding to each eligible member make up level two. Each case would consist of a level one and a variable number of level occurrences for level two. Most applications consist of a single level.

    The survey questionnaires contain the following FORMS:

    1. From A: Household Control Form
    2. Form B: Household Schedule Form
    3. Form C: Personal Schedule
    4. Form D: Personal Diary
    5. Form E: Personal Notepad

    Data collection

    Dates of Data Collection
    Start End
    2009-07 2011-01
    Data Collection Notes

    Training and Fieldwork
    Because of the complexity of the survey, training was conducted for a full month (end of February-end of March 2009) to allow interviewers, supervisors, and data entry operators to master techniques and processes. The training covered all aspects of survey operations including household listing, interviewing techniques, good understanding of all sections of the questionnaire, and data entry. After classroom tests and field practical tests, 100 qualified persons were selected and allocated into 20 teams. Two additional training sessions and refreshers were conducted over the course of the survey for newly recruited team members.

    Data collection was conducted simultaneously in all provinces from July 2009 to January 2011. The survey was initially planned to be spread over 12 consecutive months to account for seasonality. However, because of funding delays, it took almost 18 months for survey completion.

    Data Access

    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online)

    Example:
    Papua New Guinea National Statistical Office. Household Income and Expenditure Survey (HIES) 2009-2010. Ref. PNG_2009_HIES_v01_M. Dataset downloaded from [URL] on [date].

    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.

    Contacts

    Contacts
    Name URL
    National Statistical Office of Papua New Guinea http://www.spc.int/prism/country/pg/stats/index.htm

    Metadata production

    DDI Document ID

    DDI_PNG_2009_HIES_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Generation of DDI documentation
    Date of Metadata Production

    2013-06-11

    Metadata version

    DDI Document version

    Version 1.0 (June 2013)

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