High Frequency Phone Survey COVID-19, 2020-2021
Sudan, 2020 - 2021
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Reference ID
SDN_2020-2021_HFPS_v01_M
Producer(s)
The World Bank
Collection(s)
Metadata
Created on
Jul 13, 2022
Last modified
Jul 13, 2022
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Identification
Survey ID Number
SDN_2020-2021_HFPS_v01_M
Title
High Frequency Phone Survey COVID-19, 2020-2021
Country/Economy
| Name | Country code |
|---|---|
| Sudan | SDN |
Study type
Other Household Survey [hh/oth]
Series Information
Round 1 of data collection was conducted during June 16–July 5, 2020, about three months after the declaration of the outbreak in Sudan and lockdown. The dates of implementation run from August and September 2020 for Round 2, November 2020 and January 2021 for Round 3, February to April 2021 for Round 4, May to June 2021 for Round 5 and July/August 2021 for Round 6.
Abstract
Sudan, like the rest of the world, has been experiencing the unprecedented social and economic impact of the COVID-19 pandemic. The Sudanese authorities attempted to act quickly in the face of the spreading virus. In March 2020 the Government established a high-level emergency committee to oversee the operations to deal with the COVID-19 pandemic. The Government imposed closure of schools, airports, ports, and land crossings; banned travel between states; and prohibited mass gatherings. A partial lockdown was imposed in Khartoum State in mid-March 2020. Restrictions on movement are expected to make the economic situation worse, with commodity prices soaring across the country. The rapid spread of COVID-19 in Sudan and the Government’s containment measures could negatively affect household welfare including loss of employment and income, decreased access to basic commodities and services, and food security. The COVID-19 pandemic will likely worsen living conditions, particularly among the poor and vulnerable Sudanese. The objective of the Sudan High Frequency Survey on COVID-19 is to quickly collect household (and firm-level) information, using phones, to monitor the crisis and assess the dynamics of the impacts of COVID-19 on households (and micro, small and medium enterprises [MSMEs]) in Sudan. The survey will help inform dialogue and mitigation measures. The survey is implemented jointly by the Central Bureau of Statistics (CBS) and the World Bank. As face-to-face surveys were not feasible, the survey was conducted using mobile phones and covers all 18 states of Sudan. The survey monitors the impact of coronavirus on the daily lives of Sudanese who are being interviewed, with a panel of 4027, 2987, 2987, 2659, 2783 and 2179 Households for respectively Round 1, Round 2, Round 3, Round 4, Round 5 and Round 6 in both urban and rural areas from across the 18 states of Sudan. Round 1 of data collection was conducted during June 16–July 5, 2020, about three months after the declaration of the outbreak in Sudan and lockdown. The dates of implementation run from August and September 2020 for Round 2, November 2020 and January 2021 for Round 3, February to April 2021 for Round 4, May to June 2021 for Round 5 and July/August 2021 for Round 6. This sample allows to draw statistically inferences of the Sudanese population at the national and rural/urban levels. The risk of nonresponse was a concern, so efforts were made to minimize this risk, including follow-up with respondents who fail to respond and keeping the interviews short (15–20 minutes) to reduce respondent fatigue. Several questions were asked in Round 1 regarding different topics such as: knowledge of COVID-19 and social behavior, access to goods and services, food security, and jobs. Each round, the households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. The questions revolve around the immediate socioeconomic impacts on households, including their labor market situation, non-labor income as well as awareness of the virus and prevention measures undertaken by the household. The household survey covers questions on a range of topics/themes including, but not limited to, health condition, access to health facilities, access to other social services, prices of common food and non-food items (including imported goods), availability of common food and non-food items (including medicines), nutrition and food security, employment/labor, income, assets, coping strategies, remittances, subjective welfare, perceptions on the coronavirus outbreak, and the government’s responses.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Individuals
Version
Version Description
Version 2: Edited, anonymized dataset for public distribution
Version Notes
This version includes datasets from Baseline (Round 1) to Round 6 surveys. Data from Baseline (Round 1) was restructured
Scope
Notes
Sudan High Frequency Survey on COVID-19 covered the following topics:
- Household Basic Information (Rounds 1, 2, 3)
- Knowledge Regarding the Spread of COVID-19 (Round 1,2)
- Satisfaction with government policies (Round 1,2)
- Behavior and Social Distancing (Round 1,2,3,4)
- Covid-19 vaccination (Round 4)
- Access to Basic Goods and Services (Rounds 1, 2, 3, 4, 6)
- Water, Housing, Internet, Energy (Round 2)
- Fuel (Rounds 4)
- Education (Rounds 5)
- Mental Health (Rounds 5)
- Employment (Rounds 1, 2, 3, 4)
- Income Loss (Round 1, 2, 3, 4)
- Food Insecurity Experience Scale (Round 1, 2, 3, 4)
- Welfare (Rounds 1, 2, 4)
- Coping/Shocks (Rounds 1, 2, 3, 4)
- Social Safety Nets (Rounds 1, 2, 3, 4)
- Youth Basic Information (Round 6)
- Youth Employment and Job search (Round 6)
- Youth Aspirations and Expectations (Round 6)
- Youth Skills and Mental Health (Round 6)
- Household Basic Information (Rounds 1, 2, 3)
- Knowledge Regarding the Spread of COVID-19 (Round 1,2)
- Satisfaction with government policies (Round 1,2)
- Behavior and Social Distancing (Round 1,2,3,4)
- Covid-19 vaccination (Round 4)
- Access to Basic Goods and Services (Rounds 1, 2, 3, 4, 6)
- Water, Housing, Internet, Energy (Round 2)
- Fuel (Rounds 4)
- Education (Rounds 5)
- Mental Health (Rounds 5)
- Employment (Rounds 1, 2, 3, 4)
- Income Loss (Round 1, 2, 3, 4)
- Food Insecurity Experience Scale (Round 1, 2, 3, 4)
- Welfare (Rounds 1, 2, 4)
- Coping/Shocks (Rounds 1, 2, 3, 4)
- Social Safety Nets (Rounds 1, 2, 3, 4)
- Youth Basic Information (Round 6)
- Youth Employment and Job search (Round 6)
- Youth Aspirations and Expectations (Round 6)
- Youth Skills and Mental Health (Round 6)
Coverage
Geographic Coverage
National
Universe
This sample survey covers all households in the 18 States of the country and is conceived to provide reliable estimates for all the country (urban, rural) and to give acceptable results for each of the 18 states.
Producers and sponsors
Primary investigators
| Name |
|---|
| The World Bank |
Producers
| Name | Role |
|---|---|
| Stat-Solutions | Collaborated in the implementation of the survey |
| Central Bureau of Statistics | Collaborator |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Stat Solutions | Assisted with the data collection. | |
| Ministry of Finance and Economic Planning | Government of Sudan | Provided useful inputs during the survey design |
| UK’s (Foreign, Commonwealth and Development Office) | Facilitated the implementation of this survey by its financial contribution to the World Bank’s Sudan poverty program |
Sampling
Sampling Procedure
The sampling methodology adopted for the implementation of this survey is probabilistic. Each of the units in the targeted population of the study must have a nonzero and known probability of selection. The sample was stratified by rural/urban for all 18 states. The distribution of the sub sample as between states and rural/urban is proportional to the size of the individuals owning mobile phones, i.e. not equal allocation. The selection of the individual phones (the households) is random i.e. with equal probability, using systematic sample procedure in the list (frame) of phones. This allows extrapolating the results of the sample to the target population and estimating the precision of the results obtained. However, the implementation of this approach requires the availability of an adequate sampling frame containing all the units of the population and without omissions or duplications.
In this survey, the sampling frame is provided by the phone lists. Considerable efforts were made to compile the frame using multiple lists of phone numbers collected during implementation of various projects/surveys during the last few years at the household level across the country. This reduces the chances of having more than one phone number per household. Moreover, during data collection, the interviewers double checked that only one number was called for selected each surveyed household. Therefore, selecting individual phone numbers is the same as selecting households. It worth noting that for West Kordofan and Central Darfur, the proportionality of rural/urban cannot be done according to the size of phones since there are no details for rural/urban. So, the size of the rural and urban population (projection 2020) was used instead.
In Sudan, under the present federal system, the state is considered as a semiautonomous entity mandated to take care of the affairs of the citizen, provide governance, and be responsible for planning, policy formulation, and implementation of the annual program. Consequently, it was important that the sample covers all 18 states of the country. The sample is conceived to provide reliable estimates for the country (urban and rural) and to give statistically meaningful results at the national level. By calculation, a total sample size 4,230 Households (with a minimum of 3600) will allow estimating the objectives of the survey, at the national level and at Urban/Rural level with acceptable relative margin of errors (95% confidence). The total sample size adopted will also allow (1) getting good estimates for most of the other population parameters of interest and (3) getting reasonable estimates for most parameters under study for each state considered. In practice, the households (HHs) that are chosen must therefore be representative of the general population as regards as economic, social, and other characteristics.
In this survey, the sampling frame is provided by the phone lists. Considerable efforts were made to compile the frame using multiple lists of phone numbers collected during implementation of various projects/surveys during the last few years at the household level across the country. This reduces the chances of having more than one phone number per household. Moreover, during data collection, the interviewers double checked that only one number was called for selected each surveyed household. Therefore, selecting individual phone numbers is the same as selecting households. It worth noting that for West Kordofan and Central Darfur, the proportionality of rural/urban cannot be done according to the size of phones since there are no details for rural/urban. So, the size of the rural and urban population (projection 2020) was used instead.
In Sudan, under the present federal system, the state is considered as a semiautonomous entity mandated to take care of the affairs of the citizen, provide governance, and be responsible for planning, policy formulation, and implementation of the annual program. Consequently, it was important that the sample covers all 18 states of the country. The sample is conceived to provide reliable estimates for the country (urban and rural) and to give statistically meaningful results at the national level. By calculation, a total sample size 4,230 Households (with a minimum of 3600) will allow estimating the objectives of the survey, at the national level and at Urban/Rural level with acceptable relative margin of errors (95% confidence). The total sample size adopted will also allow (1) getting good estimates for most of the other population parameters of interest and (3) getting reasonable estimates for most parameters under study for each state considered. In practice, the households (HHs) that are chosen must therefore be representative of the general population as regards as economic, social, and other characteristics.
Response Rate
BASELINE (ROUND 1): A total of 4,032 households were successfully interviewed during the first round of data collection (conducted during June 16–July 5, 2020). Selected households from each state include both rural and urban households, with the representation of each state in the final sample being proportional to the state’s population relative to the overall population. Households who refused to tell their location (mode of living and state) were dropped to minimize bias. The final sample size accounts 4,027 households.
ROUND 2: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the baseline of the Sudan HFS on COVID-19. 2,989 households were successfully interviewed in the second round. However, households who refused to tell their location (mode of living and state) were dropped to minimize bias. The final sample size accounts 2,987 households.
ROUND 3: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19. 2,990 households were successfully interviewed in the third round. Households who refused to tell their location (mode of living and state) were dropped to minimize bias. The final sample size accounts 2,987 households.
ROUND 4: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,662 households were successfully interviewed in the fourth round, but 2,659 households constitute the final sample size after dropping those who refused to tell their location (mode of living and state)
ROUND 5: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,783 households were successfully interviewed in the fifth round.
One new feature of the fifth round was more extensive individual-level data collection on how the school closures affected the children in the (6-14 years). All eligible members were included. Information was successfully collected for 2,519 children from 1,258 households.
ROUND 6: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,182 households were successfully interviewed in the sixth round. The final sample size accounts 2,179 household once those who refused to tell their location (mode of living and state) were dropped.
One new feature of the sixth round was more extensive individual-level data collection on youth jobs/employment, aspirations and expectations, skills and mental health. Information on household members 15-24 years was targeted. One youth members per household were included. Information was successfully collected for 1,626 households. 555 households were partially completed or no youth available.
ROUND 2: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the baseline of the Sudan HFS on COVID-19. 2,989 households were successfully interviewed in the second round. However, households who refused to tell their location (mode of living and state) were dropped to minimize bias. The final sample size accounts 2,987 households.
ROUND 3: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19. 2,990 households were successfully interviewed in the third round. Households who refused to tell their location (mode of living and state) were dropped to minimize bias. The final sample size accounts 2,987 households.
ROUND 4: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,662 households were successfully interviewed in the fourth round, but 2,659 households constitute the final sample size after dropping those who refused to tell their location (mode of living and state)
ROUND 5: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,783 households were successfully interviewed in the fifth round.
One new feature of the fifth round was more extensive individual-level data collection on how the school closures affected the children in the (6-14 years). All eligible members were included. Information was successfully collected for 2,519 children from 1,258 households.
ROUND 6: Interviewers attempted to contact and interview all 4,032 households that were successfully interviewed in the Baseline of the Sudan HFS on COVID-19 in an effort to maintain the sample size. 2,182 households were successfully interviewed in the sixth round. The final sample size accounts 2,179 household once those who refused to tell their location (mode of living and state) were dropped.
One new feature of the sixth round was more extensive individual-level data collection on youth jobs/employment, aspirations and expectations, skills and mental health. Information on household members 15-24 years was targeted. One youth members per household were included. Information was successfully collected for 1,626 households. 555 households were partially completed or no youth available.
Weighting
When creating weights, we are trying to identify how many cases each respondent should represent. Weights cannot correct all types of survey error (questionnaire design, data collection, sampling, nonresponse, etc.). HFS-HH mainly used scale weights for all 6 Rounds.
For some purposes, we may need to estimate population totals based on the sample results. We use counts of the sample and the population. To expand the scale of the result from sample to population scale, we usually use the weights of the general form:
W=N/n
Where the sample results are multiplied by the reciprocal of the sampling fraction n/N. The general rule is that the “inverse of the probability” of selection for each participant is the “individual weight”.
In a simple random sample, which we have only one sampling fraction throughout, scale weighting is achieved by multiplying everything by the overall or uniform scale factor N/n. Scale weights will make the number of respondents equal to the number of populations.
Before applying the weights, each respondent HH is counted as one HH. After weights are used, each respondent will count as equal to the value of the weight.
BASELINE (ROUND 1) to ROUND 6: The household weights can be found in the household-level data file. It is state scale weight. The variable name is weight.
ROUND 5: In Round 5, two different weights are provided: one at the household-level and one at the individual-level (children). In the Children monitoring survey, where the unit of analysis The children weight is contained in the variable named weight_child in the education data file.
For some purposes, we may need to estimate population totals based on the sample results. We use counts of the sample and the population. To expand the scale of the result from sample to population scale, we usually use the weights of the general form:
W=N/n
Where the sample results are multiplied by the reciprocal of the sampling fraction n/N. The general rule is that the “inverse of the probability” of selection for each participant is the “individual weight”.
In a simple random sample, which we have only one sampling fraction throughout, scale weighting is achieved by multiplying everything by the overall or uniform scale factor N/n. Scale weights will make the number of respondents equal to the number of populations.
Before applying the weights, each respondent HH is counted as one HH. After weights are used, each respondent will count as equal to the value of the weight.
BASELINE (ROUND 1) to ROUND 6: The household weights can be found in the household-level data file. It is state scale weight. The variable name is weight.
ROUND 5: In Round 5, two different weights are provided: one at the household-level and one at the individual-level (children). In the Children monitoring survey, where the unit of analysis The children weight is contained in the variable named weight_child in the education data file.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-06-16 | 2020-07-05 | Baseline (Round 1) |
| 2020-08-01 | 2020-09-31 | Round 2 |
| 2020-11-01 | 2021-01-01 | Round 3 |
| 2021-02-01 | 2021-04-31 | Round 4 |
| 2021-05-19 | 2021-06-17 | Round 5 |
| 2021-06-25 | 2021-08-14 | Round 6 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2020-06-16 | 2020-07-05 | Baseline (Round 1) |
| 2020-08-01 | 2020-09-31 | Round 2 |
| 2020-11-01 | 2021-01-01 | Round 3 |
| 2021-02-01 | 2021-04-31 | Round 4 |
| 2021-05-19 | 2021-06-17 | Round 5 |
| 2021-06-25 | 2021-08-14 | Round 6 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
ORGANIZATION OF FIELDWORK:
The panel survey is implemented jointly by the Central Bureau of Statistics (CBS) and the World Bank. Data were collected by trained Stat Solution interviewers who individually made phone calls from their respective home to avoid personal interactions and ensure collective safety. The first round of the survey was fielded towards the end of the lockdown period. The interviews for the selected household respondents were done through telephone, and data collection for the survey was done using tablets and the Kobo application. Kobo is a software mainly used for collecting reliable information during a humanitarian crisis, especially following a natural disaster such as a large earthquake or a typhoon taking place in any area around the world. Understanding the population’s needs is often neglected for lack of quick means to collect and analyze this crucial information. Kobo Toolbox, developed by the Harvard Humanitarian Initiative, is an open-source suite of tools for data collection and analysis in humanitarian emergencies and other challenging environments that was built to address this gap.
Kobo Toolbox is a suite of tools for field data collection for use in challenging environments. It is a free and open-source software. Most of its users are working in humanitarian crises or are aid professionals and researchers working in developing countries.
TRAINING
Interviewers and supervisors are trained virtually to participate in the survey. The training focused on providing participants with detailed understanding of the survey and CAPI, elucidation of important concepts and questions in the questionnaire, mock interview and evaluation. A pilot was conducted with households. Brief follow-up virtual trainings were carried out after the pilot.
LANGUAGE
The baseline questionnaire is in English and Arabic. Interviewers is assigned to states or regions where they speak, read, and understand the local language/dialect. Interviewers are instructed to make sure that the way the question is read in Arabic preserves the sense of the English question, rather than a word-by-word translation.
RESPONDENT
The COVID-19 CORE Questionnaire will have ONE RESPONDENT per household. The respondent should be 18 years or older. In case the respondent is younger than 18, the interviewer should ask to speak to the head of a knowledgeable adult household member. The respondent must be a member of the household. Unlike many other household surveys, interviewers will not be expected to seek out other household members to interview them on their own data. The respondent may still consult with other household members as needed to respond to the questions asked. For follow up rounds of interviews, the interviewers shall confirm the same respondent’s identity to ensure consistency over time.
Interviewers were instructed to make every effort to reach the same respondent in subsequent rounds of the survey, in order to maintain the consistency of the information collected. However, in cases where the previous respondent was not available, interviewers would identify another knowledgeable adult household member to interview.
The panel survey is implemented jointly by the Central Bureau of Statistics (CBS) and the World Bank. Data were collected by trained Stat Solution interviewers who individually made phone calls from their respective home to avoid personal interactions and ensure collective safety. The first round of the survey was fielded towards the end of the lockdown period. The interviews for the selected household respondents were done through telephone, and data collection for the survey was done using tablets and the Kobo application. Kobo is a software mainly used for collecting reliable information during a humanitarian crisis, especially following a natural disaster such as a large earthquake or a typhoon taking place in any area around the world. Understanding the population’s needs is often neglected for lack of quick means to collect and analyze this crucial information. Kobo Toolbox, developed by the Harvard Humanitarian Initiative, is an open-source suite of tools for data collection and analysis in humanitarian emergencies and other challenging environments that was built to address this gap.
Kobo Toolbox is a suite of tools for field data collection for use in challenging environments. It is a free and open-source software. Most of its users are working in humanitarian crises or are aid professionals and researchers working in developing countries.
TRAINING
Interviewers and supervisors are trained virtually to participate in the survey. The training focused on providing participants with detailed understanding of the survey and CAPI, elucidation of important concepts and questions in the questionnaire, mock interview and evaluation. A pilot was conducted with households. Brief follow-up virtual trainings were carried out after the pilot.
LANGUAGE
The baseline questionnaire is in English and Arabic. Interviewers is assigned to states or regions where they speak, read, and understand the local language/dialect. Interviewers are instructed to make sure that the way the question is read in Arabic preserves the sense of the English question, rather than a word-by-word translation.
RESPONDENT
The COVID-19 CORE Questionnaire will have ONE RESPONDENT per household. The respondent should be 18 years or older. In case the respondent is younger than 18, the interviewer should ask to speak to the head of a knowledgeable adult household member. The respondent must be a member of the household. Unlike many other household surveys, interviewers will not be expected to seek out other household members to interview them on their own data. The respondent may still consult with other household members as needed to respond to the questions asked. For follow up rounds of interviews, the interviewers shall confirm the same respondent’s identity to ensure consistency over time.
Interviewers were instructed to make every effort to reach the same respondent in subsequent rounds of the survey, in order to maintain the consistency of the information collected. However, in cases where the previous respondent was not available, interviewers would identify another knowledgeable adult household member to interview.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| STAT SOLUTION | STAT SOLUTION | A local consulting firm assisting with the data collection |
Questionnaires
Questionnaires
BASELINE (ROUND 1): One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Knowledge regarding the spread of COVID-19
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Knowledge regarding the spread of COVID-19
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services, water, transportation, housing, internet, energy)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 3: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 4: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Youth module screening
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, transportation, fuel)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 5: One questionnaire, the Household Questionnaire, was administered to all households in the sample. Respondent were asked to think about each child in their household for the education question.
The Household Questionnaire provides information on:
- Demographics
- Mental health of the respondent
- Children education.
ROUND 6: One questionnaire, the Household Questionnaire, was administered to all households in the sample. One youth per household is interviewed in the youth section of the questionnaire.
The Questionnaire provides information on:
- Demographics
- Access to basic goods (medicines, staple food)
- Youth employment
- Youth job search
- Youth aspirations and expectations
- Youth skills and mental health.
The Household Questionnaire provides information on:
- Demographics
- Knowledge regarding the spread of COVID-19
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Knowledge regarding the spread of COVID-19
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services, water, transportation, housing, internet, energy)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 3: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, financial services)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 4: One questionnaire, the Household Questionnaire, was administered to all households in the sample.
The Household Questionnaire provides information on:
- Demographics
- Youth module screening
- Behavior and social distancing
- Access to basic goods and services (medicines, staple food, health, education, transportation, fuel)
- Employment
- Income loss
- Food insecurity experience
- Welfare
- Shocks and Coping strategies
- Social safety nets
ROUND 5: One questionnaire, the Household Questionnaire, was administered to all households in the sample. Respondent were asked to think about each child in their household for the education question.
The Household Questionnaire provides information on:
- Demographics
- Mental health of the respondent
- Children education.
ROUND 6: One questionnaire, the Household Questionnaire, was administered to all households in the sample. One youth per household is interviewed in the youth section of the questionnaire.
The Questionnaire provides information on:
- Demographics
- Access to basic goods (medicines, staple food)
- Youth employment
- Youth job search
- Youth aspirations and expectations
- Youth skills and mental health.
Data Processing
Data Editing
CONFIDENTIAL INFORMATION: For purposes of maintaining the confidentiality of the data, all names, phone numbers, and addresses have been removed from the datasets.
HOUSEHOLD LOCATION: Households with no reported state and mode of living were dropped from the data. Those who gave only the state were assigned the state household weight.
HOUSEHOLD SIZE: Household size is obtained by the sum of children and adults in the household. This information was collected during the first round of the survey. For all subsequent rounds, household size refers to the value obtained in the first round because questions about household size were not comparable and no individual level data were collected for household members.
HOUSEHOLD LOCATION: Households with no reported state and mode of living were dropped from the data. Those who gave only the state were assigned the state household weight.
HOUSEHOLD SIZE: Household size is obtained by the sum of children and adults in the household. This information was collected during the first round of the survey. For all subsequent rounds, household size refers to the value obtained in the first round because questions about household size were not comparable and no individual level data were collected for household members.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Alvin Etang Ndip | World Bank | aetangndip@worldbank.org |
| Ando Rahasimbelonirina | World Bank | arahasimbeloniri@worldbank.org |
| Eiman Osman | World Bank | eosman1@worldbank.org |
Confidentiality
Access conditions
Before being granted access to the dataset, all users have to 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 will be immediately brought to the attention of the data depositor.
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 will be immediately brought to the attention of the data depositor.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The World Bank. Sudan High Frequency Phone Survey on COVID-19 (HFPS) 2020-2021.Ref: SDN_2020-2021_HFPS_v01_M. Dataset downloaded from [URL] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The World Bank. Sudan High Frequency Phone Survey on COVID-19 (HFPS) 2020-2021.Ref: SDN_2020-2021_HFPS_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.
Metadata production
DDI Document ID
DDI_SDN_2020-2021_HFPS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the Study |
Date of Metadata Production
2022-04-13
DDI Document version
Version 01