High Frequency Phone Survey of Households 2022, Round 2
Tonga, 2022
World Bank
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December 22, 2022
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December 22, 2022
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Identification
Survey ID Number
SPC_TON_2022_HFPS-W2_v01_M_v01_A_PUF
Title
High Frequency Phone Survey of Households 2022, Round 2
Subtitle
Round 2
Country
| Name | Country code |
|---|---|
| Tonga | TON |
Study type
1-2-3 Survey, phase 1 [hh/123-1]
Series Information
The World Bank is providing support to countries to help mitigate the spread and impact of the new corona-virus disease (COVID-19). One area of support is for data collection to inform evidence-based policies that may help mitigate the effects of this disease.
To monitor the socio-economic impacts of COVID-19 as well as of the latest tsunami and volcanic eruption in Tonga, several rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the second round of the HFPS of Tonga.
To monitor the socio-economic impacts of COVID-19 as well as of the latest tsunami and volcanic eruption in Tonga, several rounds of High Frequency Phone Survey on COVID-19 (HFPS) are planned. The documented dataset refers to the second round of the HFPS of Tonga.
Abstract
The phone survey was conducted to gather data on the socio-economic impacts of COVID-19 crisis, as well as the Hunga Tonga-Hunga Ha'apai volcanic eruption and tsunami in Tonga. Round 2 interviewed 2,503 households both in urban and rural regions of the country from July 2022 to August 2022. Survey topics included employment and income, food security, coping strategies, access to health services, asset ownership, and preparedness.
Purpose of Round 2 survey was to continue tracking the impact of the crises after Round 1, which was completed in April, 2022 - May, 2022. Additionally, round 2 survey besides the household information, gathers data on individual level that was not included in Round 1. Two individual datasets explore adult employment and child education.
While these findings are not without their caveats due to the lack of baseline data, constraints of the mobile phone survey methodology, and data quality constraints, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of the crises on the population.
Purpose of Round 2 survey was to continue tracking the impact of the crises after Round 1, which was completed in April, 2022 - May, 2022. Additionally, round 2 survey besides the household information, gathers data on individual level that was not included in Round 1. Two individual datasets explore adult employment and child education.
While these findings are not without their caveats due to the lack of baseline data, constraints of the mobile phone survey methodology, and data quality constraints, they represent the best estimates to date and supplement other data on macroeconomic conditions, exports, firm-level information, etc. to develop an initial picture of the impacts of the crises on the population.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, Individual
Version
Version Description
Version 01: Cleaned, labelled and anonymized version of the Master file.
Version Date
2022-11
Version Notes
Dataset distributed by the World Bank Group (WBG)
Scope
Notes
- HOUSEHOLD DATASET: Basic Information, Vaccine, Health, Education, Food Insecurity, Employment, Income, Coping Strategies, Assets
- ADULT EMPLOYMENT DATASET: Basic Information, Employment
- CHILD EDUCATION DATASET: Basic Information, Child Education
- ADULT EMPLOYMENT DATASET: Basic Information, Employment
- CHILD EDUCATION DATASET: Basic Information, Child Education
Topics
| Topic |
|---|
| pacific-skills, education, training |
| pacific-skills, employment |
Keywords
| Keyword |
|---|
| COVID-19 |
| Phone survey |
| Health |
| Income |
| Employment |
| Assets |
| Food Security |
Coverage
Geographic Coverage
National urban and rural (5 islands): Tongatapu, Vava'u, Ha'apai, Eua, Ongo Niua
Universe
All respondents must be at least 18 years of age to undertake the survey.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| World Bank | World Bank Group – Poverty and Equity Global Practice |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Sistemas Integrales Consulting Ltda. | Technical assistance | |
| The International Bank for Reconstruction and Development | World Bank Group | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank Group | WBG | Funding |
| Australian Department of Foreign Affairs and Trade | DFAT | Funding |
Sampling
Sampling Procedure
The Tonga HFPS Round 2 sample was generated in three ways. The first method is Random Digit Dialing (RDD) process covering all cell telephone numbers active at the time of the sample selection. Approximately 16% of the sample was generated through RDD.
The RDD methodology generates virtually all possible telephone numbers in the country under the national telephone numbering plan and then draws a random sample of numbers. This method guarantees full coverage of the population with a phone.
First, a large first-phase sample of cell phone numbers was selected and screened through an automated process to identify the active numbers. Then, a smaller second-phase sample was selected from the active residential numbers identified in the first-phase sample and was delivered to the data collection team to be called by the interviewers. When a cell phone was called, the call answerer was interviewed as long as he or she was 18 years of age or above and knowledgeable about the household activities.
It was initially planned to stratify the sample by island group based on the phone number prefixes. However, this was not feasible given the high internal migration across islands and the atypical assignment of phone number prefixes across islands in Tonga. The sample is overrepresenting urban areas and the population of Tongatapu.
Approximately, 56% of the Round 2 sample was made up of the returning respondents from Round 1 who were recontacted.
The remaining 28% of the R2 respondents was taken from Tonga's Household Income and Expenditure Survey (HIES).
The RDD methodology generates virtually all possible telephone numbers in the country under the national telephone numbering plan and then draws a random sample of numbers. This method guarantees full coverage of the population with a phone.
First, a large first-phase sample of cell phone numbers was selected and screened through an automated process to identify the active numbers. Then, a smaller second-phase sample was selected from the active residential numbers identified in the first-phase sample and was delivered to the data collection team to be called by the interviewers. When a cell phone was called, the call answerer was interviewed as long as he or she was 18 years of age or above and knowledgeable about the household activities.
It was initially planned to stratify the sample by island group based on the phone number prefixes. However, this was not feasible given the high internal migration across islands and the atypical assignment of phone number prefixes across islands in Tonga. The sample is overrepresenting urban areas and the population of Tongatapu.
Approximately, 56% of the Round 2 sample was made up of the returning respondents from Round 1 who were recontacted.
The remaining 28% of the R2 respondents was taken from Tonga's Household Income and Expenditure Survey (HIES).
Response Rate
Total number of households interviewed for round 2 survey was 5,085 out of which 2,503 finished the interview - about 50% success rate. More specifically, response rate for R1 recontacted households was 60.8%, and the response rate for RDD sample was 24%.
Weighting
The sample is weighted to adjust for population distributions across Island groups and other socio-economic characteristics, including the weath index.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2022-07-13 | 2022-08-26 | Data collection |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
The survey management team of Sistemas Integrales included a Project Director, a Project Manager, a Fieldwork Manager, and a Data Manager. The data collection was implemented over 29 days with a team formed by one local coordinator, 20 interviewers and 4 supervisors. The average interview time for 158 question-long survey was 24.5 minutes.
Data Collectors
| Name |
|---|
| Sistemas Integrales Consulting |
Questionnaires
Questionnaires
The questionnaire was developed in both English and Tongan. Sections of the Questionnaire:
1. Interview Information
2. Basic Information
3. Vaccine Information
4. Health
5. Education
6. Food Insecurity
7. Employment
8. Income
9. Coping Strategies
10. Assets
11. Digital
12. Recontact
1. Interview Information
2. Basic Information
3. Vaccine Information
4. Health
5. Education
6. Food Insecurity
7. Employment
8. Income
9. Coping Strategies
10. Assets
11. Digital
12. Recontact
Data Processing
Data Editing
At the end of data collection, the raw dataset was cleaned by the survey firm and the World Bank team. Data cleaning mainly included formatting, relabeling, and excluding survey monitoring variables (e.g., interview start and end times). Data was edited using the software STATA.
Other Processing
For consistency purposes, all categorical levels were labeled identically across variables, where applicable.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/en/home |
Contacts
| Name | Affiliation | URL |
|---|---|---|
| World Bank | World Bank Group | https://www.worldbank.org/en/home |
Confidentiality
Before being granted access to the dataset, all users must formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis needs to be immediately brought to the attention of the data depositor.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, Institutions, or organizations without the written agreement of the World Bank Microdata Library.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations,
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the World Bank Microdata Library.
4. No attempt will be made to produce links among datasets provided by the World Bank Microdata Library, or among data from the World Bank Microdata Library and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the World Bank Microdata Library will cite the source of data in accordance with the Citation Requirement provided with each dataset.
1. The data and other materials will not be redistributed or sold to other individuals, Institutions, or organizations without the written agreement of the World Bank Microdata Library.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations,
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the World Bank Microdata Library.
4. No attempt will be made to produce links among datasets provided by the World Bank Microdata Library, or among data from the World Bank Microdata Library and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the World Bank Microdata Library will cite the source of data in accordance with the Citation Requirement provided with each dataset.
Citation requirements
"Tonga Statistics Department, High Frequency Phone Survey on COVID-19 2022 round 2 (HFPS 2022-W2), Version 01 of the licensed dataset (November 2022), provided by the Pacific Data Hub - Microdata Library. https://microdata.pacificdata.org/index.php/home"
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_SPC_TON_2022_HFPS-W2_v01_M_v01_A_PUF
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Statistics for development division | SDD | Pacific Community (SPC) | Study Documentation |
Date of Metadata Production
2022-12-20
DDI Document version
Version 01: This is the first attempt at documenting the second round of the Tongan High Frequency Phone Survey of 2022.