Djibouti - COVID-19 National Panel Phone Survey 2020, Wave 2

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To monitor the rapidly changing economic landscape due to COVID-19, the National Institute of Statistics of Djibouti (INSD), with the technical assistance from the World Bank, conducted a second wave of the COVID phone survey from September 20 to October 18, 2020. Like the first wave fielded in July, this wave drew from a sampling frame consisting of households from the Ministry of Social Affairs and Solidarity’s social registry that reported telephone numbers. The sample, consisting of 1,460 complete interviews, combined a panel of households interviewed during the first wave, to which a replacement sample was added to compensate for attrition.

Type: 
Microdata
Acronym: 
CNPPS 2020 - Round 2
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Djibouti
Economy Coverage: 
Economy Coverage not specified
Release Date: 
February 18, 2021

Last Updated

Last Updated: 
February 18, 2021

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
12029
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.
Version Description: 
Version 01
Publisher Name: 

Development Data Group; World Bank

Funding Name, Abbreviation, Role: 
The World Bank
Other Acknowledgments: 
Ministry of Social Affairs and Solidarity, Djibouti
Study Type: 
Other Household Survey
Series Information: 
The World Bank is providing technical and financial support to countries to help mitigate the spread and impact of the coronavirus 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. Towards this end, a phone survey of 4 rounds is expected to be implemented in Djibouti. The first round of data was collected in July 2020 by the National Institute of Statistics of Djibouti. The second round was collected between September and October 2020.
Universe: 
The survey covers households that reported telephone numbers, are included in the social registry data collected by the Ministry of Social Affairs and Solidarity (MASS) and have been interviewed after 2017. Refugees are excluded from this first round.
Primary Investigator Name, Affiliation: 
Poverty and Equity GP; The World Bank
Sampling Procedure: 
The sampling strategy allows for disaggregation by poverty status4 and by three survey domains, being Balbala (476 households), rest of Djibouti City (487 households) and urban areas outside Djibouti City (497 households). See "Box 1. Sampling strategy and sampling weights in wave 2" of the survey report provided as Related Documents.
Response Rates: 
The response rate stands at 85 percent nationally and the results are representative of the country’s urban population except for the top wealth quintile (richest 20 percent). For more information, please see Table 2.1 of the survey report provided as Related Documents.
Weighting: 
Both cross-sectional and panel weights are designed to adjust for differences in selection probability due to either design or non-response. In addition, further adjustments in sampling weights were made to ensure that indicators produced are representative of the country’s population, by poverty status and by location. The sampling frame, the social registry of the Ministry of Social Affairs, over-represents the poor and has an incomplete coverage of the upper distribution of income. To correct for these biases, we rely on a post-calibration approach, using the household budget survey of 2017 (EDAM 2017) as the reference data source. This is because EDAM 2017 survey was representative of the country’s population by poverty status and survey domains. However, EDAM 2017 survey is restricted to the first four consumption quintiles to ensure sufficient overlap of the universes covered by both surveys.
Questionnaires: 
The questionnaire is adapted from the template questionnaire prepared by the Poverty and Equity GP to measure the impact of COVID-19 on household welfare. It was designed in French and dispensed in local language (Afar, Arabe, Somali, Français or other). The questionnaire includes the following sections: - Household Roster - Knowledge and Behavior Regarding the COVID-19 - Employment - Household's Income - Needs - Access - Safety Nets
Data Collector(s) Name: 
Institut National de la Statistique de Djibouti
Data Editing: 
The CsPro CATI data entry application helped to enforce skip and range patterns during data collection. Standard consistency checks (like age differences between parents and children and unicity of household heads) were carried out at the time of the data collection. Because the entry application was strictly system-controlled, complete cases including missing items were avoided. The various checks resulted in a limited need for secondary data editing, which eventually entailed two main steps from the WB team. First, duplicated names of household members, who were otherwise distinct, were corrected by adding a suffix “bis” to the names. Second, after analysis of text responses mentioned in the residual “other” categories, a few items codes were adjusted (not exceeding 10 in any category).
Other Processing: 
The COVID-19 National Panel Phone Survey 2020 Djibouti wave 1 covered the following topics: - Household Roster - Knowledge and Behavior Regarding the COVID-19 - Employment - Household's Income - Access to Basic Goods - Access to Healthcare and Education - Safety Nets

No Visualizations Available.

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 World Bank. Djibouti COVID-19 National Panel Phone Survey 2020 (CNPPS), Wave 2. Ref: DJI_2020_CNPPS-W2_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].

To monitor the rapidly changing economic landscape due to COVID-19, the National Institute of Statistics of Djibouti (INSD), with the technical assistance from the World Bank, conducted a second wave of the COVID phone survey from September 20 to October 18, 2020. Like the first wave fielded in July, this wave drew from a sampling frame consisting of households from the Ministry of Social Affairs and Solidarity’s social registry that reported telephone numbers. The sample, consisting of 1,460 complete interviews, combined a panel of households interviewed during the first wave, to which a replacement sample was added to compensate for attrition.

FieldValue
Modified Date
2021-02-19
Release Date
Identifier
e14a2315-b7b0-463c-a989-debf12fb661d
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
5
Average: 5 (1 vote)
Acronym: 
CNPPS 2020 - Round 2
Type: 
Languages Supported: 
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.
Response Rates: 
The response rate stands at 85 percent nationally and the results are representative of the country’s urban population except for the top wealth quintile (richest 20 percent). For more information, please see Table 2.1 of the survey report provided as Related Documents.
Weighting: 
Both cross-sectional and panel weights are designed to adjust for differences in selection probability due to either design or non-response. In addition, further adjustments in sampling weights were made to ensure that indicators produced are representative of the country’s population, by poverty status and by location. The sampling frame, the social registry of the Ministry of Social Affairs, over-represents the poor and has an incomplete coverage of the upper distribution of income. To correct for these biases, we rely on a post-calibration approach, using the household budget survey of 2017 (EDAM 2017) as the reference data source. This is because EDAM 2017 survey was representative of the country’s population by poverty status and survey domains. However, EDAM 2017 survey is restricted to the first four consumption quintiles to ensure sufficient overlap of the universes covered by both surveys.
Economy Coverage: 
Other Acknowledgments: 
Ministry of Social Affairs and Solidarity, Djibouti
Primary Investigator Name, Affiliation: 
Poverty and Equity GP; The World Bank
Publisher Name: 
Development Data Group; World Bank
Version Description: 
Version 01
Subtitle: 
Wave 2
Universe: 
The survey covers households that reported telephone numbers, are included in the social registry data collected by the Ministry of Social Affairs and Solidarity (MASS) and have been interviewed after 2017. Refugees are excluded from this first round.
Geographical Coverage: 
Data Classification of a Dataset: 
Series Information: 
The World Bank is providing technical and financial support to countries to help mitigate the spread and impact of the coronavirus 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. Towards this end, a phone survey of 4 rounds is expected to be implemented in Djibouti. The first round of data was collected in July 2020 by the National Institute of Statistics of Djibouti. The second round was collected between September and October 2020.
Sampling Procedure: 
The sampling strategy allows for disaggregation by poverty status4 and by three survey domains, being Balbala (476 households), rest of Djibouti City (487 households) and urban areas outside Djibouti City (497 households). See "Box 1. Sampling strategy and sampling weights in wave 2" of the survey report provided as Related Documents.
Release Date: 
Thursday, February 18, 2021
Last Updated Date: 
Thursday, February 18, 2021
Questionnaires: 
The questionnaire is adapted from the template questionnaire prepared by the Poverty and Equity GP to measure the impact of COVID-19 on household welfare. It was designed in French and dispensed in local language (Afar, Arabe, Somali, Français or other). The questionnaire includes the following sections: - Household Roster - Knowledge and Behavior Regarding the COVID-19 - Employment - Household's Income - Needs - Access - Safety Nets
Data Editing: 
The CsPro CATI data entry application helped to enforce skip and range patterns during data collection. Standard consistency checks (like age differences between parents and children and unicity of household heads) were carried out at the time of the data collection. Because the entry application was strictly system-controlled, complete cases including missing items were avoided. The various checks resulted in a limited need for secondary data editing, which eventually entailed two main steps from the WB team. First, duplicated names of household members, who were otherwise distinct, were corrected by adding a suffix “bis” to the names. Second, after analysis of text responses mentioned in the residual “other” categories, a few items codes were adjusted (not exceeding 10 in any category).
Other Processing: 
The COVID-19 National Panel Phone Survey 2020 Djibouti wave 1 covered the following topics: - Household Roster - Knowledge and Behavior Regarding the COVID-19 - Employment - Household's Income - Access to Basic Goods - Access to Healthcare and Education - Safety Nets
Harvest Source: 
Harvest System ID: 
12029
Citation Text: 
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 World Bank. Djibouti COVID-19 National Panel Phone Survey 2020 (CNPPS), Wave 2. Ref: DJI_2020_CNPPS-W2_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].
Modified date: 
18676
Study Type: 
Other Household Survey
Primary Dataset: 
Yes
Data Collector(s) Name: 

Institut National de la Statistique de Djibouti

Funding Name, Abbreviation, Role: 

The World Bank

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This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is made available under the World Bank Microdata Research License

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