Community resilience has become an important policy and research concept for understanding and addressing the challenges associated with the interplay of climate change, urbanization, population growth, land use, sustainability, vulnerability and increased frequency of extreme flooding. Although measuring resilience has been identified as a fundamental step toward its understanding and effective management, there is, however, lack of an operational measurement framework due to the difficulty of systematically integrating socio-economic and techno-ecological factors. The study examines the challenges, constraints and construct ramifications that have complicated the development of an operational framework for measuring resilience of flood prone communities. Among others, the study highlights the absence of definitional convergence with its attendant proliferation of conceptual frameworks, challenges of data availability, data variability and data compatibility. The study suggests the adoption of an agreed definitional platform as the basis for developing conceptual constructs across all disciplines dealing with resilience. Using the National Academies’ definition of resilience (NRC 2012), a conceptual and mathematical model was developed using the dimensions, quantities and relationships established by the definition. A fuzzy logic equivalent of the model implemented to generate a resilience index for three flood prone communities in the US. It is concluded that the proposed framework offers a viable approach for measuring community flood resilience even when there is a limitation on data availability and compatibility.