COVID-19 National Panel Phone Survey 2020, Wave 3 - Refugee Sample
Djibouti, 2020 - 2021
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DJI_2020_CNPPS-W3-ECV_v01_M
COVID-19 National Panel Phone Survey 2020, Wave 3 - Refugee Sample
| Name | Country code |
|---|---|
| Djibouti | DJI |
Other Household Survey [hh/oth]
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 crisis. Towards this end, a phone survey of 4 rounds is expected to be implemented in Djibouti. The third round of data was collected in December 2020 and January 2021 by the National Institute of Statistics of Djibouti, and is the first round of data collection that includes a refugee sample.
Sample survey data [ssd]
- Household
- Individual
Version
Version 01: Edited, anonymized dataset for public distribution.
Scope
The COVID-19 National Panel Phone Survey 2020 Djibouti wave 3 covered the following topics:
- Household Roster
- Employment
- Household's Income
- Access to Basic Goods
- Access to Healthcare
- Safety Nets
- Food Insecurity
- Shock Coping Strategies
- Opinion
Coverage
Regarding the refugee sample, the survey is representative of the population of refugees and asylum-seekers present in Djibouti in three refugee villages (or refugee settlements) of Ali Addeh, Holl Holl and Markazi, as well as in the capital city Djibouti-city. Therefore, the survey covers both urban refugees (from Djibouti-city) and village-based refugees (from the refugee villages).
For the refugee sample, the survey covers households from the sample of the Refugee Survey collected in 2019 by INSD jointly with MASS, World Food Program (WFP) and United Nations High Commissioner for Refugees (UNHCR) through face-to-face interviews. The resultant refugee sample of the COVID-19 Phone Survey only includes households who had a phone number, and have responded to the survey.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Poverty and Equity Global Practice | World Bank |
| Name | Role |
|---|---|
| Institut National de la Statistique de Djibouti | Implementation partner and collaborated in survey design and analysis |
| Name |
|---|
| The World Bank |
| Joint Data Center on Forced Displacement |
| Name | Role |
|---|---|
| Ministry of Social Affairs and Solidarity, Djibouti | Sharing the social registry data with INSD to draw a sample |
| United Nations High Commissionary for Refugees | Supporting the effort to collect data on refugees in Djibouti |
Sampling
Refugee Sample: The sample covers households from the sample of the Refugee Survey collected in 2019 by INSD jointly with MASS, World Food Program (WFP) and United Nations High Commissioner for Refugees (UNHCR) through face-to-face interviews. The original sample of the Refugee Survey in 2019 was drawn from the refugee registration data. The non-response rate stands at 39.5 percent for the refugee households. Among the Refugees Survey Sample, the refugee sample of the COVID-19 survey has not been drawn randomly but by selecting the households that have a phone number. The refugee sample of the third wave of the COVID-19 survey consisted of 564 interviewed households with complete information.
Among the refugee sample, the response rate stood at 60.5% with 564 interviewed households.
The sampling weights for the refugee sample are designed to adjust for differences in design and non-response. The refugees are distributed across four broad locations: Djibouti city and Balbala, Holl-Holl, Ali-Addeh, and Markazi. The population estimates of refugees and asylum seekers in these locations were 2936, 1707, 4408, 1398 households, respectively. Further, the weights are adjusted for non-response within the refugee sample, based on the inverse predicted probability of responding to the survey, conditional on observable characteristics (location, household size, gender, age, education of the household head, and year of arrival to Djibouti).
Survey instrument
The questionnaire of the third round is adapted from the questionnaire of the second round and in accordance with the template questionnaire prepared by the Poverty and Equity Global Practice to measure the impact of COVID-19 on household welfare. It was designed in French and dispensed in local language (Afar, Arabic, Somali, French or other). The questionnaire is the same for both national and refugee samples. The questionnaire includes the following sections:
- Household Roster
- Employment
- Household's Income
- Needs
- Access
- Safety Nets
- Food Insecurity
- Shock Coping Strategies
- Opinion on Vaccine
Data collection
| Start | End | Cycle |
|---|---|---|
| 2020-12-20 | 2021-02-02 | Round 3 |
| Name |
|---|
| Institut National de la Statistique de Djibouti |
- Organization of the fieldwork: The survey team for the refugee sample was composed of 8 surveyors and 1 supervisor. Each enumerator was given a tablet and mobile phone (including sim card and data bundles) to be used for the interviews. The questionnaire was implemented using CsPro's CATI capabilities. Data were collected by trained INSD interviewers who individually made phone calls from their respective homes. Data from completed and partially completed interviews were synchronized each evening.
- Pre-loaded information: Basic information on each household (such as location, household head name, phone number, etc.) was pre-loaded in the CATI assignments for each interviewer. The list of household members and their basic characteristics were uploaded from the refugee survey. The aim of pre-loaded information is to assist interviewers in calling and identifying the household, and ensure that each pre-loaded person is properly addressed and easily matched to the most recent interviews.
- Respondents: The survey had one respondent per household, who was the knowledgeable adult household member or the head of the household. The respondent must be a member of the household and must be an adult. The respondent may still consult with other household members as needed to respond to the questions.
Data processing
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).
The data has been anonymized to ensure protection of the privacy of respondents in this dataset. All direct identifiers and string variables have been removed, recoding and topcoding of age, household size, and relation to household head were implemented. Local suppression of data to certain employment characteristics was also applied to achieve the required level of k-anonymity for a public use data file.
Depositor information
| Name | Affiliation |
|---|---|
| Anne Marie Duplantier | World Bank |
Data Access
| Is signing of a confidentiality declaration required? |
|---|
| yes |
The dataset has been anonymized and is available as a Public Use Dataset. Before being granted access to the dataset, all users have to formally agree:
- 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.
- 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.
- 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.
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.
Poverty and Equity Global Practice, World Bank. COVID-19 National Panel Phone Survey 2020, Wave 3 - Refugee Sample (2020). Ref. DJI_2020_CNPPS-W3-ECV_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Bilal Malaeb | WBG | bmalaeb@worldbank.org |
Metadata production
DDI_DJI_2020_CNPPS-W3-ECV_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank | Documentation of the DDI |
2021-10-12