Measuring multidimensional poverty and child poverty in Central Sudan: Evidence from AlJezira State

Measuring multidimensional poverty and child poverty in Central Sudan: Evidence from AlJezira State | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Measuring multidimensional poverty and child poverty in Central Sudan: Evidence from AlJezira State Gowaria Dafa Alla Abd-Elgdir Ali This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4686952/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper presents an in-depth analysis of multidimensional poverty in central Sudan utilizing two methodologies: (MPI) and multiple overlapping deprivation analysis (MODA). The research is based on primary data collected through structured questionnaires by the Central Bureau of Statistics in 2023, covering 43 administrative units in AlJezira State and interviewing 764 randomly selected households. The study revealed that approximately one-fifth of the population in the study area experiences multidimensional poverty, with significant deprivations in education, health, and standard of living. Additionally, child poverty is notably high, with a multidimensional headcount ratio of 26% among children under five, which decreases by 5 percentage points when applying a reweighted MODA approach developed by the researchers. The practical significance of this study lies in its potential to inform targeted poverty alleviation policies and interventions, particularly in rural areas and among young children. Theoretically, this research contributes to the literature by demonstrating the value of combining MPI and MODA methodologies to capture a more comprehensive picture of poverty. The innovative aspect of this manuscript is the application of a reweighted MODA approach, which provides a nuanced understanding of child poverty and offers new insights for policy formulation. The findings underscore the urgent need for tailored strategies to address the multifaceted nature of poverty in central Sudan. Macroeconomics Multidimensional poverty Child poverty Multidimensional approach Central Sudan Full Text Additional Declarations The authors declare no competing interests. Committee Name: National Ethics Committee at the Department of Research, Federal Ministry of Health, Sudan Approval Number: FMoH/2023/197 Informed consent was read by the interviewers to the participants. The interviewers emphasized that the participants had the right not to participate in the study if they chose not to. Supplementary Files AppendixA.docx AppendixB.docx AppendixC.docx AppendixD.docx AppendixE.docx AppendixF.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4686952","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":322750759,"identity":"b523c34b-1155-42fa-aa6c-7d56b0809598","order_by":0,"name":"Gowaria Dafa Alla Abd-Elgdir 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