A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth of the five planned rounds of mobile surveys. Four rounds of the HFPS are already completed in June 2020 (Round 1), Dec 2020-Jan 2021 (Round 2), July-Aug 2021 (Round 3) and Jan 2022-Feb 2022 (Round 4), Round 5 interviewed 2,507 households across the country between July 30, 2022, and September 8, 2022, on topics including vaccines of COVID-19, employment, income, food security, health, and coping strategies, and public trust and security.

Version 01: Cleaned, labelled and anonymized version of the master file.

-HOUSEHOLD: Interview information (S1); Basic information (S2); Health (S5); Access food & food security (S7); Coping strategies (S10); Assets and well-being (S11); Public trust and security (S12).
-INDIVIDUAL: Basic information (S2); Information about COVID-19 (S3); Vaccines of COVID-19 (S4); Employment and income information (S8).
-CHILD: Education (S6).

• Collection start: 2022
• Collection end: 2022

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth of the five planned rounds of mobile surveys. Three rounds of the HFPS are already completed in June 2020 (Round 1), Dec 2020-Jan 2021 (Round 2) and July-Aug 2021 (Round 3). Round 4 interviewed 2,671 households across the country between January 11, 2022, and February 25, 2022, on topics including vaccines of COVID-19, employment, income, food security, health, and coping strategies, and public trust and security.

Version 01: Clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Interview information; Basic information; Vaccines of COVID-19; Employment and income information; Access food and food security; Coping strategies; Health; Public trust and security; Assets and well-being.
-INDIVIDUAL: Basic information and employment information.

• Collection start: 2022
• Collection end: 2022

A strong evidence base is needed to understand the socioeconomic implications of the COVID-19 pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are designed to collect data on the evolving implications of the COVID-19 pandemic over several years. This data is the second of at least five planned rounds of mobile surveys. The first round of survey was already completed in late June 2020. Round 2 interviewed 2,882 households across the country in December 2020 and early January 2021, on topics including awareness of COVID-19, employment, and income, coping strategies, and public trust and security.

Version 01: Clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Interview information; Basic information; Awareness of COVID-19; Employment and income information; Coping strategies; Health; Public trust and security; Assets and well-being; Assets; Interview results.
-INDIVIDUAL: Interview information; Basic information; Employment.

• Collection start: 2020
• Collection end: 2021

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. Round 1 (out of 5) interviewed 2,650 respondents across the country in late June 2020 on topics including awareness of COVID-19, employment and income, food security, coping strategies, and public trust and security. 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, and etc. to develop an initial picture of the impacts of COVID-19 on the population.

Version 01: Clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Interview information; Basic information; Awareness of COVID-19; Employment and income loss; Access food and food security; Coping strategies; Public trust and security; Assets and well-being; Interview results.
-INDIVIDUAL: Interview information; Basic information; Employment and income loss.

• Collection start: 2020
• Collection end: 2020

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the third of the five planned rounds of mobile surveys. Two rounds of the HFPS are already completed in June 2020 (Round 1) and Dec 2020-Jan 2021 (Round 2). Round 3 interviewed 2,503 households across the country between 29th June 2021 and 11th Aug 2021, on topics including Vaccines of COVID-19, Employment & Income, Food security, Coping strategies, Health, and Public trust and security. Telephone interviews were conducted through a Solomon Islands call center set up by Tebbutt Research.

Version 01: Clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Interview information; Basic information; Vaccines of COVID-19; Employment & ESP; Income; Coping strategies; Access food and food security; Health; Public trust and security; Assets and well-being.
-INDIVIDUAL: Basic information and employment information.

• Collection start: 2021
• Collection end: 2021

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fifth of the five planned rounds of mobile surveys. Four rounds of the HFPS are already completed in June 2020 (Round 1), Dec 2020-Jan 2021 (Round 2), July-Aug 2021 (Round 3) and Jan 2022-Feb 2022 (Round 4), Round 5 interviewed 2,507 households across the country between July 30, 2022, and September 8, 2022, on topics including vaccines of COVID-19, employment, income, food security, health, and coping strategies, and public trust and security.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Household and Individual.

Universe

All respondents must be aged 18 and over and have a phone.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Five data collection sought to re-contact all 2,671 households contacted in Round Four. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. A new survey company (Sistemas) was hired for the fifth round, and the old survey company (Tebbutt) did not provide the phone numbers of the old households contacted in previous rounds. Hence, no returning households can be identified in round 5. In Round Five, Honiara was over-represented in the World Bank HFPS (constituting 47.7 percent of the survey sample). All other provinces were deemed under-represented, with the largest differences being for Malaita and Western, which represented 9.5 percent (Census: 21.4 percent), and 12.5 percent of the survey sample (Census: 21.4 percent), respectively. Urban areas constituted 58.3 percent of the survey sample, compared to a quarter (25.6 percent) of the census. The target geographic distribution for the survey was based on the population distribution across provinces from the preliminary 2019 census results. According to the population census, Honiara constituted almost one quarter (18.0 percent) of the total population. Compensating factors for these differences were developed and included in the re-weighting calculations.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas. For more information on sampling, please refer to the presentation slides provided in the External Resources.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developed both in English and in Solomons Pijin. The survey instrument for the fifth round consisted of the following modules: -Basic information, -Information about COVID-19, -Vaccines of COVID-19, -Health, -Education, -Access food & food security, -Employment and Income, -Coping strategies, -Public trust and security, -and Assets and wellbeing.

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using Stata.
The data is presented in three data sets: household data set, individual data set, and child data set. The total number of observations in the household data set is 2,507 in the individual data set and is 1,260 in the child data set. The child data set contains the education information for children of all households who answered this section, the individual data set contains the employment and vaccine information for all individuals, and the household data set contains information about health, access food & food security, coping strategies, public trust and security, and assets and well-being.

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the third of the five planned rounds of mobile surveys. Two rounds of the HFPS are already completed in June 2020 (Round 1) and Dec 2020-Jan 2021 (Round 2). Round 3 interviewed 2,503 households across the country between 29th June 2021 and 11th Aug 2021, on topics including Vaccines of COVID-19, Employment & Income, Food security, Coping strategies, Health, and Public trust and security. Telephone interviews were conducted through a Solomon Islands call center set up by Tebbutt Research.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

households, individuals

Universe

Respondents must be at least 18 years of age to participate the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Three data collection sought to re-contact all 2,882 households contacted in Round Two. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round Two households, 1,182 were successfully re-contacted.

Honiara was over-represented in the sample (accounting for 36.9 percent of the sample). Compensating factors for these differences were developed and included in the re-weighting calculations. Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

To reach the target sample size of at least 2500 households, 980 new replacement households were added to the World Bank survey. The final sample of completed interviews was 2,503. The employment questions were asked for both the respondent and the household head by proxy (if different from the respondent), yielding a total sample size for the individual-level employment analysis of 3,188.

Further information regarding weighting can be found in the HFPS Round One and HFPS Round Two reports, which followed the same weighting methodology. Because of considerable attrition between rounds, most statistics showing changes through time reflect data from repeated cross sections rather than panels.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA.

The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,503 and 3,188 in the individual data set. The individual data set mentions the employment information for all the household members, whereas the household data set contains information about vaccines of COVID-19, food access and food security, coping strategies, health, public trust and security, and assets.

Response rate

Response rate for returning households: 41.01%.

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the COVID-19 pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are designed to collect data on the evolving implications of the COVID-19 pandemic over several years. This data is the second of at least five planned rounds of mobile surveys. The first round of survey was already completed in late June 2020. Round 2 interviewed 2,882 households across the country in December 2020 and early January 2021, on topics including awareness of COVID-19, employment, and income, coping strategies, and public trust and security.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Households, Individuals

Universe

Respondents aged 18 and over.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Two data collection sought to re-contact all 2,665 households contacted in Round One. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round One households, 1,048 were successfully re-contacted. In Round One, Honiara was over-represented in the World Bank HFPS (constituting 32.8 percent of the survey sample). All other provinces were deemed under-represented, with the largest differences being for Makira-Ulawa, which represented 3.9 percent of the survey sample compared to 7.2 percent of the population in the census, and Guadalcanal, which represented 14.3 percent of the survey sample compared to 21.4 percent of the population in the census. Urban areas constituted almost half (49.2 percent) of the survey sample, compared to a quarter (25.6 percent) of the census. To reach the target sample size of at least 2500 households, 1,833 replacement households were added to the World Bank survey. The target geographic distribution for the survey was based on the population distribution across provinces from the preliminary 2019 census results. According to the population census, Honiara constituted almost one quarter (18.0 percent) of the total population. Compensating factors for these differences were developed and included in the re-weighting calculations.

The majority of these were replaced through Random Digit Dialing, but the project did attempt to leverage contact information from ward-level focal points for the Rural Development Project (RDP) in provinces underrepresented in Round One. Of the 145 RDP contacts provided to the call center, 41 were reached, who in turn provided 379 numbers which were attempted as part of regular call schedule. Overall, the sample size achieved for the second round of the HFPS was 2,882 households.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas. For more information on sampling, please refer to the report provided in the External Resources.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA. The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,882 and is 4,279 in the individual data set. The individual data set contains employment information for some household members. The household data set contains information about public services, income, coping strategies, and awareness of COVID-19.

Response rate

Re-contact was attempted with all households from the World Bank Round Two HFPS sample, by phone, for follow up interviews for the UNICEF SIAS. Up to 5 re-contact call attempts were made per house, resulting in 1530 households being interviewed successfully including households without children. Of these households, a total of 1197 had at least one child (aged 0 to 14 years of age). While the goal was to recontact at least 1500 households with at least one child in the household, this was not possible due to lower than hoped for response rate. Given the time elapsed between the Round Two HFPS and the UNICEF SIAS, the response rate may have suffered because of some households changing phone numbers.

Response rate for returning households: 39.32%

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth of the five planned rounds of mobile surveys. Three rounds of the HFPS are already completed in June 2020 (Round 1), Dec 2020-Jan 2021 (Round 2) and July-Aug 2021 (Round 3). Round 4 interviewed 2,671 households across the country between January 11, 2022, and February 25, 2022, on topics including vaccines of COVID-19, employment, income, food security, health, and coping strategies, and public trust and security.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Household and Individual.

Universe

All respondents must be aged 18 and over and have a phone.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Four data collection sought to re-contact all 2,503 households contacted in Round Three. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round Three households, 1,106 were successfully re-contacted.

In Round Four, Honiara and Guadalcanal were over-represented in the World Bank HFPS (constituting 19.7 percent and 26.0 percent of the survey sample, respectively). All other provinces were deemed under-represented, with the largest differences being for Malaita, which represented 15.7 percent of the survey sample compared to 21.4 percent of the population in the census. Urban areas constituted 34.3 percent of the survey sample, compared to a quarter (25.6 percent) of the census.

The target geographic distribution for the survey was based on the population distribution across provinces from the preliminary 2019 census results. According to the population census, Honiara constituted almost one quarter (18.0 percent) of the total population. Compensating factors for these differences were developed and included in the re-weighting calculations.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developed both in English and in Solomons Pijin.

The survey instrument for the fourth round consisted of the following modules: -Basic information, -Vaccines of COVID-19, -Employment and Income, -Access food and food security, -Coping strategies, -Health, -Public trust and security, -and Assets and wellbeing.

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA.

The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,671 and is 4,038 in the individual data set. The individual data set contains the employment, vaccine, and public trust information for all individuals, whereas the household data set contains information about public services, income, coping strategies, and awareness of COVID-19.

Response rate

Response rate for returning households: 44.19%.

Data appraisal

Imputation was done for missing education values in Round 4 when calculating the household and individual weights.

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the third of the five planned rounds of mobile surveys. Two rounds of the HFPS are already completed in June 2020 (Round 1) and Dec 2020-Jan 2021 (Round 2). Round 3 interviewed 2,503 households across the country between 29th June 2021 and 11th Aug 2021, on topics including Vaccines of COVID-19, Employment & Income, Food security, Coping strategies, Health, and Public trust and security. Telephone interviews were conducted through a Solomon Islands call center set up by Tebbutt Research.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Household and Individual.

Universe

Respondents must be at least 18 years of age to participate the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Three data collection sought to re-contact all 2,882 households contacted in Round Two. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round Two households, 1,182 were successfully re-contacted.

Honiara was over-represented in the sample (accounting for 36.9 percent of the sample). Compensating factors for these differences were developed and included in the re-weighting calculations. Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

To reach the target sample size of at least 2500 households, 980 new replacement households were added to the World Bank survey. The final sample of completed interviews was 2,503. The employment questions were asked for both the respondent and the household head by proxy (if different from the respondent), yielding a total sample size for the individual-level employment analysis of 3,188.

Further information regarding weighting can be found in the HFPS Round One and HFPS Round Two reports, which followed the same weighting methodology. Because of considerable attrition between rounds, most statistics showing changes through time reflect data from repeated cross sections rather than panels.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developed both in English and in Solomons Pijin.

The survey instrument for the third round consisted of the following modules: -Basic information, -Vaccines of COVID-19 -Employment & ESP, -Income, -Food access and food security, -Coping strategies, -Health -Public trust and security, -and Assets and wellbeing.

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA.

The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,503 and 3,188 in the individual data set. The individual data set mentions the employment information for all the household members, whereas the household data set contains information about vaccines of COVID-19, food access and food security, coping strategies, health, public trust and security, and assets.

Response rate

Response rate for returning households: 41.01%.

Data appraisal

Imputation was done for missing education values when calculating the individual weights

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the COVID-19 pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are designed to collect data on the evolving implications of the COVID-19 pandemic over several years. This data is the second of at least five planned rounds of mobile surveys. The first round of survey was already completed in late June 2020. Round 2 interviewed 2,882 households across the country in December 2020 and early January 2021, on topics including awareness of COVID-19, employment, and income, coping strategies, and public trust and security.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Household and Individual.

Universe

Respondents aged 18 and over.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Two data collection sought to re-contact all 2,665 households contacted in Round One. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round One households, 1,048 were successfully re-contacted. In Round One, Honiara was over-represented in the World Bank HFPS (constituting 32.8 percent of the survey sample). All other provinces were deemed under-represented, with the largest differences being for Makira-Ulawa, which represented 3.9 percent of the survey sample compared to 7.2 percent of the population in the census, and Guadalcanal, which represented 14.3 percent of the survey sample compared to 21.4 percent of the population in the census. Urban areas constituted almost half (49.2 percent) of the survey sample, compared to a quarter (25.6 percent) of the census. To reach the target sample size of at least 2500 households, 1,833 replacement households were added to the World Bank survey. The target geographic distribution for the survey was based on the population distribution across provinces from the preliminary 2019 census results. According to the population census, Honiara constituted almost one quarter (18.0 percent) of the total population. Compensating factors for these differences were developed and included in the re-weighting calculations.

The majority of these were replaced through Random Digit Dialing, but the project did attempt to leverage contact information from ward-level focal points for the Rural Development Project (RDP) in provinces underrepresented in Round One. Of the 145 RDP contacts provided to the call center, 41 were reached, who in turn provided 379 numbers which were attempted as part of regular call schedule. Overall, the sample size achieved for the second round of the HFPS was 2,882 households.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas. For more information on sampling, please refer to the report provided in the External Resources.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developed both in English and in Solomons Pijin. The survey instrument for the second round consisted of the following modules: -Basic information, -Awareness of COVID-19, -Employment and Income loss, -Coping strategies, -Public trust and security, -and Assets and wellbeing.

All respondents were aged 18 years and above.

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA.
The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,882 and is 4,279 in the individual data set. The individual data set contains employment information for some household members. The household data set contains information about public services, income, coping strategies, and awareness of COVID-19.

Response rate

Re-contact was attempted with all households from the World Bank Round Two HFPS sample, by phone, for follow up interviews for the UNICEF SIAS. Up to 5 re-contact call attempts were made per house, resulting in 1530 households being interviewed successfully including households without children. Of these households, a total of 1197 had at least one child (aged 0 to 14 years of age). While the goal was to recontact at least 1500 households with at least one child in the household, this was not possible due to lower than hoped for response rate. Given the time elapsed between the Round Two HFPS and the UNICEF SIAS, the response rate may have suffered because of some households changing phone numbers.

Response rate for returning households: 39.32%

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. High Frequency Phone Surveys (HFPS) are set up to understand these implications over the years. This data is the fourth of the five planned rounds of mobile surveys. Three rounds of the HFPS are already completed in June 2020 (Round 1), Dec 2020-Jan 2021 (Round 2) and July-Aug 2021 (Round 3). Round 4 interviewed 2,671 households across the country between January 11, 2022, and February 25, 2022, on topics including vaccines of COVID-19, employment, income, food security, health, and coping strategies, and public trust and security.

Geographic coverage

Urban and rural areas of Solomon Islands.

Analysis unit

Households, individuals

Universe

All respondents must be aged 18 and over and have a phone.

Kind of data

Sample survey data [ssd]

Sampling procedure

As the objective of the survey was to measure changes as the pandemic progresses, Round Four data collection sought to re-contact all 2,503 households contacted in Round Three. The protocols for re-contact were a maximum of 3 attempts per caller shift, spaced between 1.5 and 2.5 hours apart depending on whether the phone was busy or there was no answer, and 15 attempts in total. Of the Round Three households, 1,106 were successfully re-contacted.

In Round Four, Honiara and Guadalcanal were over-represented in the World Bank HFPS (constituting 19.7 percent and 26.0 percent of the survey sample, respectively). All other provinces were deemed under-represented, with the largest differences being for Malaita, which represented 15.7 percent of the survey sample compared to 21.4 percent of the population in the census. Urban areas constituted 34.3 percent of the survey sample, compared to a quarter (25.6 percent) of the census.

The target geographic distribution for the survey was based on the population distribution across provinces from the preliminary 2019 census results. According to the population census, Honiara constituted almost one quarter (18.0 percent) of the total population. Compensating factors for these differences were developed and included in the re-weighting calculations.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Cleaning operations

At the end of data collection, the dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes. Data was edited using STATA.

The data is presented in two data sets: household data set and individual data set. The total number of observations in the household data set is 2,671 and is 4,038 in the individual data set. The individual data set contains the employment, vaccine, and public trust information for all individuals, whereas the household data set contains information about public services, income, coping strategies, and awareness of COVID-19

Response rate

Response rate for returning households: 44.19%.

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. Round 1 (out of 5) interviewed 2,650 respondents across the country in late June 2020 on topics including awareness of COVID-19, employment and income, food security, coping strategies, and public trust and security. 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, and etc. to develop an initial picture of the impacts of COVID-19 on the population.

Geographic coverage

National coverage

Analysis unit

Households

Universe

Respondents aged over 18.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING PROCEDURE The implementation method was random digit dialling which was administered from call centers in Suva, Fiji and Honiara in the Solomon Islands. The target sample size was 2,650 respondents. This figure was determined based on budget constraints and the need to be able to disaggregate to subnational levels, as well as the expectation that some percentage of households would attain over the course of the subsequent rounds. Since limited auxiliary information was available for sample design, the high frequency phone survey targeted households in the same proportion as the 2015 Demographic and Health Survey (DHS).

The achieved sample heavily overrepresented the population in Honiara, with a total sample size of 921 for a target of 365, and slightly oversampled Rennell-Bellona, with a total sample of 18 compared to a target of 13. The oversampling in Honiara is most likely attributable to households in Honiara being more likely to have mobile phones that were switched on at the time of the call. The other provinces were under-sampled to varying degrees, with ratios of achieved-to-targeted samples varying from 40.9 percent in Makira-Ulawa to 87.7 percent in Malaita. Additionally, it was not possible to target between urban and rural areas as that information is not available in a Random Digit Dialling design. Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

For more information on sampling, please refer to the report provided in the External Resources.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developped both in English and in Solomons Pijin. The survey instrument for the first round consisted of the following modules: -Basic information, -Awareness of COVID-19, -Employment and Income loss, -Food access and Food security, -Coping strategies, -Public trust and security, -and Assets and wellbeing.

Cleaning operations

CLEANING OPERATIONS At the end of data collection, the raw dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.

Data was edited using the software Stata.

Response rate

A total of 2,665 household members were successfully interviewed. Below are the completion rates by Province + Honiara: -Choiseul: 69.3%; -Western: 66.1%; -Isabel: 86%; -Central: 72.8%; -Rennell-Bellona: 138.5%; -Guadalcanal: 83.2%; -Malaita: 87.7%; -Makira-Ulawa: 40.9%; -Temotu: 68.5%; -Honiara: 252.3%.

Data appraisal

Data was collected and managed using the Survey Solutions software package.

Abstract

A strong evidence base is needed to understand the socioeconomic implications of the coronavirus pandemic for the Solomon Islands. Round 1 (out of 5) interviewed 2,650 respondents across the country in late June 2020 on topics including awareness of COVID-19, employment and income, food security, coping strategies, and public trust and security. 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, and etc. to develop an initial picture of the impacts of COVID-19 on the population.

Geographic coverage

National coverage: all 9 provinces covered.

Analysis unit

Household and Individual.

Universe

Respondents aged over 18.

Kind of data

Sample survey data [ssd]

Sampling procedure

The implementation method was random digit dialing which was administered from call centers in Suva, Fiji and Honiara in the Solomon Islands.

The target sample size was 2,650 respondents. This figure was determined based on budget constraints and the need to be able to disaggregate to subnational levels, as well as the expectation that some percentage of households would attain over the course of the subsequent rounds. Since limited auxiliary information was available for sample design, the high frequency phone survey targeted households in the same proportion as the 2015 Demographic and Health Survey (DHS).

The achieved sample heavily overrepresented the population in Honiara, with a total sample size of 921 for a target of 365, and slightly oversampled Rennell-Bellona, with a total sample of 18 compared to a target of 13. The oversampling in Honiara is most likely attributable to households in Honiara being more likely to have mobile phones that were switched on at the time of the call. The other provinces were under-sampled to varying degrees, with ratios of achieved-to-targeted samples varying from 40.9 percent in Makira-Ulawa to 87.7 percent in Malaita. Additionally, it was not possible to target between urban and rural areas as that information is not available in a Random Digit Dialing design.

Due to the limited sample sizes outside of Honiara, most results are disaggregated into only three geographic regions: Honiara, other urban areas, and rural areas.

For more information on sampling, please refer to the report provided in the External Resources.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire - that can be found in the External Resources of this documentation - was developped both in English and in Solomons Pijin.

The survey instrument for the first round consisted of the following modules: -Basic information, -Awareness of COVID-19, -Employment and Income loss, -Food access and Food security, -Coping strategies, -Public trust and security, -and Assets and wellbeing.

Cleaning operations

At the end of data collection, the raw dataset was cleaned by the World Bank team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.

Data was edited using the software Stata.

Response rate

A total of 2,665 household members were successfully interviewed. Below are the completion rates by Province + Honiara: -Choiseul: 69.3%; -Western: 66.1%; -Isabel: 86%; -Central: 72.8%; -Rennell-Bellona: 138.5%; -Guadalcanal: 83.2%; -Malaita: 87.7%; -Makira-Ulawa: 40.9%; -Temotu: 68.5%; -Honiara: 252.3%.