Impact of Russian Ukrainian War on Households in Egypt, IRUW 2024 - Egypt, Arab Rep.

Abstract --------------------------- The war in Ukraine, which began in February 2022, has intensified several preexisting adverse global economic trends, including rising inflation, extreme poverty, increasing food insecurity, deglobalization, and worsening environmental degradation. Fuel and food shortages resulting from the war have aggravated post-pandemic inflation, which had already reached double digits in many parts of the world, eroding household purchasing power, hitting the most vulnerable hardest, and adding to social pressures. The reduction in exports of grains and oilseeds due to the conflict in Ukraine has impacted the consumption of other, more nutritious foods. The Middle East and North Africa (MENA) region is particularly vulnerable and volatile in response to these global food market disruptions, and as the crisis continues, its impact on African economies has deepened. To better understand the shock's impact, ERF carried out a phone survey of approximately 2,000 households in Egypt and Kenya, focusing on how the war has affected them. The main objectives of this survey are to: · Identify the factors contributing to food insecurity, particularly in female-headed households. · Investigate how various households have coped with rising inflation and the scarcity of certain goods. · Determine the extent to which households have benefited from government support programs. The harmonization was designed to create comparable data that can facilitate cross-country and comparative research between the two countries (Egypt and Kenya). Both surveys incorporate similar survey designs, with data on households and individuals within those households. Geographic coverage --------------------------- National Analysis unit --------------------------- Household and Individuals Universe --------------------------- The survey covered a national random sample of mobile phone users aged 18-64. Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The sample universe for the household survey was mobile phone users aged 18-64. Random digit dialing (RDD), within the range of valid numbers, was used, with up to three attempts if a phone number was not picked up/answered, was disconnected or busy, or picked up but could not complete the interview at that time. Samples were stratified by country-specific market shares of mobile operators. The sample is designed to cover at least 2000 unique households and individuals. A question is included in the survey for the number of phone numbers within the household to weight appropriately. Further weighting of the household and individual samples was done to reflect the demographic composition of the population as obtained by the most recent publicly available data with individual phone ownership and relevant demographic and labour market characteristics. In the individual interview, respondents who are employers or self-employed were asked to respond to either the household enterprise or farmer modules. Mode of data collection --------------------------- Computer Assisted Telephone Interview [cati] Response rate --------------------------- The total response rate is 18%. It's important to note that our response rates exclude phones out of service, those disconnected or busy after repeated attempts, and individuals' ineligible for the survey. Responses reflect successful completions, regardless of whether they occurred on the first, second, or third attempt.