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Flood exposure and poverty in 188 countries

Author

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  • Jun Rentschler

    (The World Bank
    Payne Institute for Public Policy)

  • Melda Salhab

    (The World Bank
    University College London)

  • Bramka Arga Jafino

    (Deltares
    Delft University of Technology)

Abstract

Flooding is among the most prevalent natural hazards, with particularly disastrous impacts in low-income countries. This study presents global estimates of the number of people exposed to high flood risks in interaction with poverty. It finds that 1.81 billion people (23% of world population) are directly exposed to 1-in-100-year floods. Of these, 1.24 billion are located in South and East Asia, where China (395 million) and India (390 million) account for over one-third of global exposure. Low- and middle-income countries are home to 89% of the world’s flood-exposed people. Of the 170 million facing high flood risk and extreme poverty (living on under $1.90 per day), 44% are in Sub-Saharan Africa. Over 780 million of those living on under $5.50 per day face high flood risk. Using state-of-the-art poverty and flood data, our findings highlight the scale and priority regions for flood mitigation measures to support resilient development.

Suggested Citation

  • Jun Rentschler & Melda Salhab & Bramka Arga Jafino, 2022. "Flood exposure and poverty in 188 countries," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30727-4
    DOI: 10.1038/s41467-022-30727-4
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    2. Laura Devitt & Jeffrey Neal & Gemma Coxon & James Savage & Thorsten Wagener, 2023. "Flood hazard potential reveals global floodplain settlement patterns," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Bojana Horvat & Nino Krvavica, 2023. "Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia," Land, MDPI, vol. 12(11), pages 1-22, November.
    4. A’kif Al-Fugara & Ali Nouh Mabdeh & Saad Alayyash & Awni Khasawneh, 2023. "Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events," Sustainability, MDPI, vol. 15(3), pages 1-28, January.
    5. José Pedro Matos & Filipa Ferreira & Diogo Mendes & José Saldanha Matos, 2023. "Evaluating Compound Flooding Risks in Coastal Cities under Climate Change—The Maputo Case Study, in Mozambique," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    6. F. K. S. Chan & Zilin Wang & Jiannan Chen & Xiaohui Lu & Taiseer Nafea & Burrell Montz & Olalekan Adekola & Alessandro Pezzoli & James Griffiths & Yi Peng & Pengfei Li & Juanle Wang, 2023. "Selected global flood preparation and response lessons: implications for more resilient Chinese Cities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 1767-1796, September.
    7. Nazam Maqbool, 2023. "Impact of Climate Change on Water in Pakistan (Policy)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(4), pages 605-616.
    8. Cheng He & Yixiang Zhu & Lu Zhou & Jovine Bachwenkizi & Alexandra Schneider & Renjie Chen & Haidong Kan, 2024. "Flood exposure and pregnancy loss in 33 developing countries," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    9. Kong, Yang & He, Weijun & Shen, Juqin & Yuan, Liang & Gao, Xin & Ramsey, Thomas Stephen & Peng, Qingling & Degefu, Dagmawi Mulugeta & Sun, Fuhua, 2023. "Adaptability analysis of water pollution and advanced industrial structure in Jiangsu Province, China," Ecological Modelling, Elsevier, vol. 481(C).
    10. Nicola Garbarino & Sascha Möhrle & Florian Neumeier & Marie-Theres von Schickfus, 2024. "Disaster Aid and Support for Mandatory Insurance: Evidence from a Survey Experiment," ifo Working Paper Series 406, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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