SPC_PNG_2022_SDES_v01_M_v01_A_PUF
Socio-Demographic and Economic Survey 2022
| Name | Country code |
|---|---|
| Papua New Guinea | PNG |
Socio-Economic/Monitoring Survey [hh/sems]
This is the first Socio-Demographic and Economic Survey (SDES) to be undertaken in Papua New Guinea.
The 2022 Socio-Demographic and Economic Survey is a nationally representative household survey designed to provide information on population, migration, education, labour and employment, fertility, disability, household, and housing characteristics. The key objectives of the survey are:
-to generate essential key indicators as inputs in the preparation of national plans and programs for the well-being of the population
-to monitor the progress of development programs as stipulated in the Sustainable Development Goals (SDGs), Medium Term Development Plans, Vision 2050 and other national policies/plans and priorities.
Sample survey data [ssd]
Household and Individual.
Version 01: Cleaned, labelled and anonymized version of the Master file.
2023-12-08
-HOUSEHOLD: Dwelling characteristics; Water and sanitation; Energy; Assets; Communication.
-INDIVIDUAL: Migration; Person characteristics; Fertility; Disability; Education; Literacy; Employment.
| Topic |
|---|
| pacific-skills, education, training |
| pacific-skills, employment |
National coverage. 43 strata and 22 provinces were covered.
| Name | Affiliation |
|---|---|
| Papua New Guinea National Statistical Office | Government of Papua New Guinea |
| Name | Affiliation | Role |
|---|---|---|
| United Nations Population Fund | United Nations | Technical support |
| Pacific Community | Technical support |
| Name | Role |
|---|---|
| Government of Papua New Guinea | Funding |
| Department of Foreign Affairs and Trade | Funding |
-Used a stratified, two-stage cluster sampling method, with a third stage in very large sample census units (CU, enumeration areas selected within the sample CUs).
-Produced 43 strata, 22 provinces by urban/rural (National Capital District has only urban areas).
-Allocation was done proportionately according to size (in terms of the number of households).
-Thus, 335 CUs / clusters were selected in the first- stage while a fixed number of 15 households per cluster were selected at the second stage resulting to a total sample size of 5,025 households.
Coverage: 95.8% (14 out of 335 clusters not accessed) due to security issues (tribal fights/lawlessness), and election related misconceptions.
The questionnaire was generated using the World Bank's software Survey Solutions. It contains a set of 47 questions covering several modules such as Employment, Fertility, Housing, Disability, Education.
The questionnaire is provided in English in the External Resources section in this documentation.
| Start | End | Cycle |
|---|---|---|
| 2022-05-02 | 2022-06-30 | Data collection |
| Name | Affiliation |
|---|---|
| Papua New Guinea National Statistical Office | Government of Papua New Guinea |
TRAINING:
-Training strategy – 3 tiers; 1-> Training of Master Trainers at Port Moresby, 6 days 2-> Training of Provincial Trainers at Port Moresby, 11 days 3-> Training of interviewers and supervisors in provinces, 10 days
-3rd Tier training consisted of 6 days training on concepts and definitions, 2 days on use of tablets, and 2 days for Supervisors roles and responsibilities
-Training consisted of understanding data collection concepts through paper-based approach, then CAPI approach; Methods of sample households selection; and Classroom and outdoor practical sessions
-Total of 500 personnel were trained including reserves.
DATA COLLECTION METHOD:
-2 mode data collection approach
-Collection of Listing data using pen-and-paperinterview (PAPI) approach
-Collections of SDES data using:
-Computer-Assisted-Personal-Interview (CAPI) approach - use of tablets (recommended)
-Allot questionnaires for Paper-and-PenInterview (extreme cases)
-452 tablets procured for the CAPI approach.
FIELDWORK:
-Data collection was completed in 2 months (May to June 2022)
-It was carried out by 107 teams, each consisted of 3 interviewers and 1 supervisor. Total of 400 enumerators and supervisors were involved
-Monitoring of field work (call center and monitor/s assigned in each province)
-Monitoring of data collection (dashboard)
CHALLENGES:
-Manpower issues – field staff leaving the survey for election related activities
-Logistics challenges: access to transport competing with intending candidates for the National General Election (NGE)
-Retrieval of tablets (52 units or 12 % of the total tablets not returned): stolen or field workers deliberately running away with it.
-Checking of data submitted from field, identifying unique / valid households and removing invalid or duplicate households, coding of responses, consistency checks
-Tabulations - generating tables for data analysis and generation of key indicators
| Name | Affiliation | URL | |
|---|---|---|---|
| Papua New Guinea National Statistical Office | Government of Papua New Guinea | https://www.nso.gov.pg/about-us/contact/ | info@nso.gov.pg |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The Socio-Demographic and Economic Survey (SDES) data is protected under the National Statistics Act and cannot be disclosed to any individual without authorisation from the Government Statistician. |
Licensed datasets, accessible under conditions.
"National Statistical Office of Papua New Guinea, Socio-Demographic and Economic Survey 2022 (SDES 2022), Version 01 of the licensed dataset (December 2023), provided by the Pacific Data Hub-Microdata Library. https://microdata.pacificdata.org/index.php/home"
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.
| Name | Affiliation | URL | |
|---|---|---|---|
| Papua New Guinea National Statistical Office | Government of Papua New Guinea | info@nso.gov.pg | https://www.nso.gov.pg/about-us/contact/ |
DDI_SPC_PNG_2022_SDES_v01_M_v01_A_PUF
| Name | Affiliation | Role |
|---|---|---|
| Statistics for Development Division | Pacific Community (SPC) | Documentation of study |
2023-12-08
-Version 01 (December 2023): This is the first attempt at documenting the 2022 Socio-Demographic and Economic Survey of Papua New Guinea. Done by Statistics for Development Division at Noumea.