Natural hazard shocks are concentrated in rural and agriculture-dependent areas, where they disrupt livelihoods, damage housing and degrade infrastructure. In Myanmar's current context, where natural hazard shocks frequently compound with economic stress and conflict-related disruption, reducing exposure requires investment in livelihood diversification, agricultural input support and local infrastructure rehabilitation, including resilient and low-carbon design where feasible, that can be delivered in constrained access environments. Climate-resilient agricultural systems, early warning mechanisms and basic infrastructure investment retain value in reducing both the frequency and severity of livelihood disruption from this shock type but depend on functioning market and mobility conditions to translate into protective action. Health shocks, as serious illness or accident, act as acute poverty triggers, particularly for households already operating with thin margins. Unlike structural disadvantages that develop gradually, a single health event simultaneously produces income loss, asset depletion and increased out-of-pocket expenditure. Reducing the poverty impact of health shocks requires action on both demand and supply sides: expanding social protection coverage and reducing financial barriers to healthcare access addresses the household's exposure to catastrophic costs, while strengthening health service availability and community-based care reduces the probability and severity of the shock itself. 044. Programme to the deprivation profile, not the headcount alone The fourth direction departs from the three preceding ones in a critical way: it is not a domain-specific direction but a diagnostic principle. As Section 5 demonstrates, dimensional composition, that is the share of each dimension in the overall MPI, is the indicator that translates poverty measurement into programming specificity. Two states/regions or household groups may record similar MPI scores yet require entirely different interventions, because the deprivations driving their poverty are different. Headcount alone cannot make this distinction; dimensional composition can. A compositional gradient emerges from the data, derived from the state-level dimensional composition analysis in Section 5.2, distinguishing states and regions by which dimension accounts for a disproportionately large share of their MPI score. In states/regions where survival-related deprivations dominate such as Rakhine, Kayah, Chin, Kachin and Ayeyarwady, health and living standards together dominate the index, with education compressed. In these settings, area-based restoration of basic services and infrastructure is the primary entry point; education investment retains long-term value but will not reduce the index substantially until survival-level deprivations are addressed. In states/ regions where education's share is comparatively higher, such as Sagaing, Mon, Mandalay and Nay Pyi Taw, human-capital investment carries greater leverage for poverty reduction alongside continued investment in health and living standards. The remaining states/regions fall between these two patterns, without education compressed as sharply as in the first group or as elevated as in the second. Here, livelihood restoration, employment support and income resilience carry particular leverage, since rising incomes reduce the depth of deprivation even where they do not change its underlying composition. Within any geographic context, the dimensional composition of an individual household's deprivation also shifts as poverty deepens. Living standards deficits, such as inadequate housing, sanitation or water access, are typically the first to bind and remain the largest single contributor to deprivation for the majority of MPI-poor households. As deprivation deepens, education's share rises, overtaking living standards once a household's deprivation score passes approximately 0.73; the most severely deprived households face accumulating disadvantage across all three dimensions, with education L AYE R S O F DE P R I VAT I O N : M u l t i di m en si on a l Pov er t y i n M y anmar 45