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Flooding is a global problem that affects most regions in the world. In the last 20 years, over 1.65 Billion people were affected by flooding (UNDRR, 2020), while estimated losses as a result of flood events exceeded 1 Trillion US Dollars over the last 40 years (Munich RE, 2020). The impacts of flooding can be reduced through good flood risk management (FRM). For FRM measures to be most effective, they need to be implemented in areas of high flood risk, which are identified through flood risk assessments. These assessments follow the conceptual framework that flood risk is a product of hazard (the flooding), exposure (who or what is exposed to the flooding), and vulnerability (the susceptibility of the exposure to damages; UNISDR, 2015).

Over the last two decades, several datasets have been developed to assess flood risk at the global scale. In recent years, some of these datasets have become detailed enough to be informative at national scales. The use of these datasets nationally could have enormous benefits in areas lacking existing flood risk information and allow better flood management decisions and disaster response. In this study, we evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia. National flood risk assessments are carried out for each of the five countries using global datasets

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