Determinants of financial inclusion and the digital divide among Somali women: evidence from the 2020 Somalia Demographic and Health survey

Financial inclusion and digital access drive women’s economic empowerment, yet determinants in fragile states remain under-researched. This study provides a micro-level empirical analysis of these phenomena among women in Somalia, where a vibrant mobile money market coexists with deep structural barriers. Using 2020 Somalia Demographic and Health Survey data (N=12,408), we employed multivariate logistic regression to identify distinct predictors for each outcome. Findings reveal a bifurcated reality: financial inclusion is driven by pragmatic necessity, with nomadic women having significantly higher odds of inclusion (AOR=2.57; 95% CI [1.68, 3.94]) than urban counterparts, reflecting heavy reliance on mobile money. Conversely, the digital divide follows a socio-economic gradient: wealth and secondary education increase Internet access odds by over 14 and 15 times, respectively. Strikingly, textual literacy is negatively associated with Internet use (AOR=0.32; 95% CI [0.25, 0.41]), suggesting a hypothesized "digital orality" where non-textual platforms facilitate digital participation. This study documents a context-specific literacy–digital paradox in a fragile state. Policy interventions should strengthen mobile money ecosystems while exploring voice-based approaches to digital fluency to mitigate exclusion in Somalia’s evolving digital economy.

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Publication Details

Journal
Cogent Social Sciences
Published
2026-03-02
DOI
https://doi.org/10.1080/23311886.2026.2637205
Primary Topic
Economic Growth and Development
Type
article
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article

Determinants of financial inclusion and the digital divide among Somali women: evidence from the 2020 Somalia Demographic and Health survey

Yurub Abdirahman Moumin, Abdirashid Jama Abdullahi, Khadar Mowlid Abdi, Omer Mohamud Muhumed et al.
Cogent Social Sciences
Economic Growth and Development
article

Determinants of financial inclusion and the digital divide among Somali women: evidence from the 2020 Somalia Demographic and Health survey

Yurub Abdirahman Moumin, Abdirashid Jama Abdullahi, Khadar Mowlid Abdi, Omer Mohamud Muhumed, Abdirizak Mohamed Moumin, Abdalle Ali Yusuf, Omran Salih, Hassan Mohamed Heban
article en

Abstract

Financial inclusion and digital access drive women’s economic empowerment, yet determinants in fragile states remain under-researched. This study provides a micro-level empirical analysis of these phenomena among women in Somalia, where a vibrant mobile money market coexists with deep structural barriers. Using 2020 Somalia Demographic and Health Survey data (N=12,408), we employed multivariate logistic regression to identify distinct predictors for each outcome. Findings reveal a bifurcated reality: financial inclusion is driven by pragmatic necessity, with nomadic women having significantly higher odds of inclusion (AOR=2.57; 95% CI [1.68, 3.94]) than urban counterparts, reflecting heavy reliance on mobile money. Conversely, the digital divide follows a socio-economic gradient: wealth and secondary education increase Internet access odds by over 14 and 15 times, respectively. Strikingly, textual literacy is negatively associated with Internet use (AOR=0.32; 95% CI [0.25, 0.41]), suggesting a hypothesized "digital orality" where non-textual platforms facilitate digital participation. This study documents a context-specific literacy–digital paradox in a fragile state. Policy interventions should strengthen mobile money ecosystems while exploring voice-based approaches to digital fluency to mitigate exclusion in Somalia’s evolving digital economy.

Cogent Social SciencesVol. 12(1)
Amoud University (SO)
Quality Education
Openalex Percentile: Top 55%
Economic Growth and Development
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Determinants of financial inclusion and the digital divide among Somali women: evidence from the 2020 Somalia Demographic and Health survey — Yurub Abdirahman Moumin, Abdirashid Jama Abdullahi, et al. · Cogent Social Sciences (2026) | TGRS Research Map | TGRS