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Somalia: COVID-19 High Phone Survey Wave 2 Brief
(World Bank, Washington, DC, 2021-11) Kotikula, Andy; Pournik, Milad; Yoshimura, Kazusa
In January 2021, the second wave of the Somalia high frequency phone survey has been administered, calling 2,811 households to see the impact of Coronavirus disease 2019 (COVID-19) on people’s behavior and livelihood. The first wave has been conducted in June 2020, and compared to that, the adoption of preventive measures such as washing hands and wearing mask was less widespread in the second wave, while over 90 percent of people expressed interest in getting tested and vaccinated. The overall employment rate seems to have improved from the first wave, but still the majority of households (79 percent) reported the further income reduction. Food insecurity has clearly worsened compared to the first wave while government and non-government assistance appears to have reduced greatly since 2020, which strongly suggests the need of further support to the Somalis, especially the most vulnerable groups including internally displaced populations (IDPs) and nomadic households.
Socioeconomic Impacts of COVID-19 on Households in Somalia: Results from Round 1 of the Somali High-Frequency Phone Survey
(World Bank, Washington, DC, 2021-10-01) Karamba, Wendy; Salcher, Isabelle
The coronavirus disease 2019 (COVID-19) pandemic and its effects on households create an urgent need for timely data and evidence to help monitor and mitigate the social and economic impacts of the crisis on the Somali people, especially the poor and most vulnerable. To monitor the socioeconomic impacts of the COVID-19 pandemic and inform policy responses and interventions, the World Bank designed and conducted a nationally representative Somali High-Frequency Phone Survey (SHFPS) of households. The survey covers important and relevant topics, including knowledge of COVID-19 and adoption of preventative behavior, economic activity and income sources, access to basic goods and services, exposure to shocks and coping mechanisms, and access to social assistance. This brief summarizes the findings of the first round of the SHFPS, implemented between June and July 2020. The information presented here is based on a sample of 2,811 households across all regions of Somalia, drawn using a random digit dialing protocol. Sampling weights are computed to ensure representativeness at the national and state level, and by population type. The same households will be tracked over 12 months, with selected respondents—typically the household head—completing interviews every 8-12 weeks. Monitoring the well-being of households over time will improve understanding of the effects of, and household responses to the COVID-19 pandemic in near-real time.
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings
(World Bank, Washington, DC, 2019-03) Pape, Utz J.; Nunez Chaim, Gonzalo I.
To embark on a sustainable pathway toward development, effective policy responses must be implemented quickly and based on evidence. This requires reliable, timely data, which is often unavailable especially in fragile settings. An innovative High Frequency Survey (HFS) infrastructure offers a modern data collection system to fill critical data gaps. It can provide quantitative data to inform programs and policies, often linked to resilience in fragile settings. Using the cases of Somalia and South Sudan, this note describes the design and setup of such a HFS infrastructure and illustrates how high frequency price data can effectively support decision-making even in the event of an economic or humanitarian crisis.