3.2 Amplifiers of Poverty: Shock Exposure This section examines how shocks interact with existing structural and contextual vulnerabilities to deepen deprivation and accelerate transitions into multidimensional poverty. While structural and contextual drivers shape baseline patterns of multidimensional poverty, shocks act as amplifiers: they deepen deprivation among already vulnerable households and accelerate transitions into poverty for those at the margin. The analytical question is not whether shocks matter, but how to differentiate their effects. Shocks differ in how widely they reach, in how strongly they amplify poverty per exposed household, and in how their effects accumulate over time. Understanding these differences matters for programming design because the most prevalent shock is not necessarily the one that does the most damage to an individual household, and the response required to break the cycle differs accordingly. This section presents three findings. First, prevalence and intensity rank inversely across shock types: economic shocks reach the largest number of households, but conflict shocks carry the largest amplification effect per exposed household. Second, the effects of repeated economic and natural hazard shocks accumulate steadily, eroding coping capacity in ways that can move structurally protected households into deep deprivation. Third, conflict differs from economic and natural hazard shocks in that it creates a persistent elevated-risk context rather than acting as a single discrete event. Geographic distribution of shock exposure The three shock types, economic, natural hazard, and conflict-related, differ markedly in how widely and where they reach.12 Figure 5 shows household exposure across union, urban-rural and state/ region levels. Economic shocks are systemic. At the union level, around 57 percent of households report at least one economic shock, and exposure exceeds 40 percent in every state and region. The highest rates are in Kayah (90%), Kachin (86%), Rakhine (75%) and Magway (67%), but even the least-exposed area, Mon, records around 43 percent. The urban-rural gap is narrow (54% urban, 57% rural), reflecting that income volatility and price pressures reach households across the income and geographic distribution. Natural hazard shocks are geographically concentrated. Around 20 percent of households are exposed at the union level, with rural households more than twice as likely to be affected as urban (23% versus 10%). Exposure is highest in Kayah (52%), Bago (32%), Kayin (30%) and Magway (30%), areas with significant rain-fed agriculture, flood-prone terrain or both. At the other end, exposure is well under 10 percent in Tanintharyi (4%) and Yangon (7%). Conflict shocks are the most geographically concentrated. Around 10 percent of households nationally report direct conflict or displacement exposure, but two states account for the bulk of this: Kayah (68%) and Rakhine (52%). Chin (21%), Kachin (21%) and Sagaing (20%) follow at substantially lower 12 24 A shock refers to self-reported negative impacts experienced by a household during the preceding 12 months. The three shock categories are based on the PPS 2025. Natural hazard shocks include drought, heavy rain or hail, floods, cyclones or tornadoes, earthquakes, tsunamis, landslides, fire, lightning, and crop pests or diseases. Economic shocks include low agricultural prices, high food prices, reduced non-agricultural business earnings, and loss of employment or reduced earnings. Conflict shocks include direct exposure to conflict and displacement. As with shock-recall modules in household surveys more broadly (i.e., living standard measurement study), categories are self-reported and not mutually exclusive: a household's reported loss of employment or reduced earnings, for example, may itself result from a conflict or natural hazard shock rather than reflecting an independent economic trigger. LAYERS OF DEP RIVATION : Mu ltid im e n s io n a l Pov er t y i n M y a n m a r