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Unveiling Hidden Hardships: Leveraging Alternative Data to Map Multidimensional Vulnerability in the Central African Republic

Author

Listed:
  • Vincent Nossek

    (CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne, WBG = GBM - World Bank Group = Groupe Banque Mondiale)

  • Walker Kosmidou-Bradley

    (WBG = GBM - World Bank Group = Groupe Banque Mondiale, University of Twente)

  • Frederic Mortier

    (Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement)

  • Bastien Cheville

    (PCI - Phoenix Consulting International)

  • Pierre Mandon

    (WBG = GBM - World Bank Group = Groupe Banque Mondiale, CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne)

Abstract

In fragile states such as the Central African Republic, where conflict and institutional fragility severely constrain traditional data collection, mapping multidimensional vulnerability and potential deprivation poses a significant challenge for designing targeted interventions. This paper presents an innovative geospatial dashboard that harnesses alternative data sources— including nighttime light intensity, other relevant satellite imagery, geocoded infrastructure inventories, and critical event records—to develop highresolution indices (at a 5×5 km scale) of economic capacity, access to essential services (education, health, and water), flood exposure, and lethal conflict risks. By employing a Bayesian state-space model to disaggregate sectoral GDP and friction-based accessibility metrics, our analysis uncovers pronounced spatial disparities: economic activity remains concentrated in urban hubs such as Bangui, while rural areas suffer from compounded vulnerabilities, including limited economic opportunities and poor service access. Cross-validation with the 2021 Harmonized Household Living Conditions Survey confirms the predictive validity of these indices for household wealth, with economic and service indicators positively correlated with welfare outcomes. Conversely, exposure to lethal conflict appears paradoxically associated with higher-value targets, potentially reflecting rent-seeking dynamics. These tools enhance the precision of policy targeting in data-scarce environments, providing scalable and actionable insights for poverty alleviation in conflict-affected, low-income countries.

Suggested Citation

  • Vincent Nossek & Walker Kosmidou-Bradley & Frederic Mortier & Bastien Cheville & Pierre Mandon, 2026. "Unveiling Hidden Hardships: Leveraging Alternative Data to Map Multidimensional Vulnerability in the Central African Republic," CERDI Working papers hal-05480258, HAL.
    • Handle: RePEc:hal:cdiwps:hal-05480258
    Note: View the original document on HAL open archive server: https://uca.hal.science/hal-05480258v2
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    References listed on IDEAS

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    1. Joshua Blumenstock, 2018. "Don’t forget people in the use of big data for development," Nature, Nature, vol. 561(7722), pages 170-172, September.
    2. Nicolas Berman & Mathieu Couttenier & Dominic Rohner & Mathias Thoenig, 2017. "This Mine Is Mine! How Minerals Fuel Conflicts in Africa," American Economic Review, American Economic Association, vol. 107(6), pages 1564-1610, June.
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    4. Pierre Mandon & Vincent Nossek & Diderot Sandjong Tomi, 2025. "Stuck in a Fragility Trap: The Case of the Central African Republic Civil War," Defence and Peace Economics, Taylor & Francis Journals, vol. 36(4), pages 435-468, May.
    5. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
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