Conventional poverty metrics often focus primarily on unidimensional measures such as income, consumption or expenditure. However, this approach is not appropriate in areas like the Tigray region where poverty is exacerbated by multiple factors including conflict, environmental challenges and socioeconomic instability. In these settings it is important to employ a multidimensional analysis, looking at factors such as access to basic health and education services, housing and security. Additionally, to design targeted interventions, this kind of data gathering must happen at district level – a huge challenge in a conflict-affected area such as Tigray. Researchers at Tigray Health Research Institute plan to address both these issues by employing the Small Area Estimation technique, integrating direct survey estimates with model-based predictions, and using hierarchical Bayesian models. Findings will fill evidence gaps and inform strategies, policies and programmes addressing poverty and vulnerability at both regional and country level.