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Rapid Gender Assessment Surveys, 2021

Papua New Guinea, 2021
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Reference ID
PNG_2021_RGAS_v01_EN_M_v01_A_OCS
Producer(s)
UN Women, Asian Development Bank
Collections
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 22, 2022
Last modified
Jun 22, 2022
Page views
5457
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PNG_2021_RGAS_v01_EN_M_v01_A_OCS

    Title

    Rapid Gender Assessment Surveys, 2021

    Country
    Name Country code
    Papua New Guinea PNG
    Study type

    Multipurpose Survey - COVID-19 data response

    Series Information

    For further information on similar studies, see: https://data.unwomen.org/rga

    Abstract

    Shortly after the onset of the COVID-19 pandemic, evidence showed the consequences of the crisis spanned well beyond its direct health effects. Across Asia and the Pacific, COVID-19 impacted outcomes ranging from access to health care, to employment and income, and women were often at a disadvantage. Two years on, the pandemic continues affecting women and men, and its lingering effects remain gendered. Ample evidence is now available on the effects on women-dominated sectors, such as tourism, and types of work, such as informal jobs, as well as on women's unpaid care work responsibilities. Women are also encountering more barriers to access stimulus packages to stay out of poverty.

    In response to these concerns and to design effective responses to the crisis, the demand for gender data has increased. In the past few months, UN Women Regional Office for Asia and the Pacific and the Asian Development Bank rolled out Rapid Gender Assessment Surveys in consultation with national governments.

    These surveys also include the eight FIES questions to understand the food security situation in the countries where the surveys have been run. However, it is important to note that these surveys are not identical to the FIES surveys, which are conducted by FAO.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Individuals

    Scope

    Notes

    Modules included in the survey are as follows:

    • HEALTH,
    • MAIN ECONOMIC ACTIVITY,
    • UNPAID DOMESTIC AND CARE WORK,
    • FOOD HARDSHIP,
    • PERSONAL AND HOUSEHOLD INCOME,
    • REMITTANCES,
    • AND GOVERNMENT SUPPORT.
    Topics
    Topic
    Gender Statistics
    Keywords
    Gender COVID-19 Socio-economic indicators Unpaid domestic and care work Food hardship Vaccines coverage and hesitancy Fuel and water collection

    Coverage

    Geographic Coverage

    National Coverage

    Universe

    The target population are individuals 18 years and above, with access to a mobile phone.

    Producers and sponsors

    Primary investigators
    Name
    UN Women
    Asian Development Bank
    Funding Agency/Sponsor
    Name Role
    Department of Foreign Affairs and Trade - Government of Australia Funding
    Asian Development Bank Funding

    Sampling

    Sampling Procedure

    The RGAs were rolled out in Papua New Guinea (n=3,089), following a Random Digit Dialling (RDD) method, using numbering plans from national telecommunications agencies, which excluded commercial numbers and business registers. Prior to data collection, the sample was pulsed (a signal was sent to the randomly generated number to verify if it exists). No landlines were considered for this exercise. Information on socio-demographic characteristics of the respondents was unknown prior to dialling, and thus screening questions were used to achieve sex, age, region and education quotas. The quotas were calculated utilizing national household survey and population census data. Mobile phone coverage was above 70 per cent in most countries considered, with differences based on sex, age, educational attainment, and location.

    Weighting

    Estimates are weighted using iterative proportional fitting, more commonly referred to as raking, whereby iterative adjustments were made until the sample distribution aligned with that of the population for sex, age, location and education. Weight efficiency was considered (to avoid affecting the power of the estimates) and improved by trimming (to reduce the impact on the variance of the final weight) or by merging weighting categories. The estimates generated by RGAs aren’t meant to replace official statistics or be used for SDG monitoring.

    Data collection

    Dates of Data Collection
    Start End
    2021-09-14 2021-12-08
    Time Method

    To study the gendered effects of COVID-19 on key socio-economic indicators, the survey instrument adopts "since the onset of COVID-19 (March 2020)" as reference period. As part of preparatory work, cognitive testing was conducted to ensure an homogenous understanding of the refence period among respondents.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes See https://data.unwomen.org/
    Citation requirements

    Copyright: Asian Development Bank and UN Women 2022

    Disclaimer and copyrights

    Disclaimer

    ADB and UN Women do not accept any responsibility for any consequence of data use. The mention of specific companies or products of manufacturers does not imply that they are endorsed or recommended by ADB or UN Women in preference to others of a similar nature that are not mentioned.

    By making any designation of or reference to a particular territory or geographic area, or by using the term “country” in this document, ADB and UN Women do not intend to make any judgments as to the legal or other status of any territory or area.

    Contacts

    Contacts
    Name Affiliation Email
    Cecilia Tinonin Cecilia Tinonin UN Women [email protected]
    Sara Duerto Valero UN Women [email protected]

    Metadata production

    DDI Document ID

    DDI_PNG_2021_RGAS_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata producer

    Metadata version

    DDI Document version

    PNG_2021_RGAS_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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