DJI_2021_CNPPS-W4-ECV_v01_M
COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample
Name | Country code |
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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. This round, which only corresponds to the refugee sub-sample of the fourth round of data (second round for the refugee sample) was collected in November and December 2021 by the National Institute of Statistics of Djibouti.
To understand the socio-economic impact of COVID-19 and associated government measures over the long term, the refugee data of the fourth round of the COVID-19 National Panel Phone Survey 2020 was collected by the National Institute of Statistics of Djibouti (INSD) between November 11 and December 28, 2021. This second wave of the refugee sample aims to provide a snapshot of the situation for refugees in Djibouti as the economic recovery from the pandemic began. The sample consists of 436 respondents, 286 of whom are based in refugee villages, and 150 refugees living in urban areas. Various channels of impact are explored such as job loss, availability and price changes of basic food items, ability to access healthcare and education, food insecurity. The survey also includes a section on gender issues, including time-use and decision making, as well as a section on attitudes towards COVID-19 Vaccine. Within households, a respondent was chosen at random between the household heads and spouses, allowing comparison between female and male respondents in the sample. Further, the education questions are asked for a randomly chosen boy or girl within the households that have children.
Version 01: Edited, anonymized dataset for public distribution.
2023-06-22
The COVID-19 National Panel Phone Survey 2020 Djibouti wave 4 covered the following topics:
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).
Name | Affiliation |
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Poverty and Equity GP | World Bank |
Name | Role |
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Institut National de la Statistique de Djibouti | Implementation partner and collaboration on survey design and analysis |
Name |
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The World Bank |
The refugee 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. Among the Refugee Survey sample, the refugee sample of the COVID survey was a random sample of those with a phone number on file. The sampling was done by a random drawing at one degree among refugee and asylum-seeker households living in four independent strata: Djibouti-City, and the refugee villages of Ali Addeh, Holl Holl and Markazi.
In contrast to the first wave of refugee sample (called the "third wave - refugee sample") which was fielded contemporaneously with an identical phone survey aimed at a nationally representative population of Djiboutians, this second wave of refugee sample (also referred as "fourth wave - refugee sample") was not fielded at the same time as the national sample. Therefore, the fourth wave national sample and refugee sample surveys are not strictly comparable because of this time difference. Moreover, despite the fact that this survey is the second wave on the refugee population, its results may not be compared to those from the first wave ("third wave - refugee sample") because of increased quality control implemented during the course of this wave resulting in patterns observed in the data that are consistent with dissimilar distributions of non-sampling errors resulting in potential bias that a priori cannot be signed.
The response rate of the whole sample stands at 46.8 percent, with variation by area of residence (45.7 percent in refugee villages and 49.2 percent in urban areas). The sample consists of 436 interviewed households with complete information.
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).
The questionnaire of the fourth round is adapted from the questionnaire of the previous round and in accordance with 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, Arabic, Somali, French or other). The questionnaire includes the following sections:
Start | End |
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2021-11-11 | 2021-12-28 |
Name |
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Poverty and Equity Global Practice |
Name | Affiliation |
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Bilal Malaeb | World Bank Group |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Poverty and Equity GP (World Bank). Djibouti - COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample (DJI ECV 2020 -W4). Ref: DJI_2021_CNPPS-W4-ECV_v01_M. Downloaded from [uri] on [date].
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.
Name | Affiliation | |
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Bilal Malaeb | World Bank Group | bmalaeb@worldbank.org |
DDI_DJI_2021_CNPPS-W4-ECV_v01_M_WB
Name | Affiliation | Role |
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Development Data Group | World Bank | Documentation of the study |
2023-08-28
Version 01 (2023-08-28)