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| Field Example: Ukraine Humanitarian Crisis 2015 | ||
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The The 2015 PIN in Ukraine was calculated using a combination of criteria: location of the affected population, number of people displaced, pre-crisis demographics (age) and vulnerability data (poverty headcount). Of the 5.2 million people living in conflict-affected areas in Ukraine, around 1.4 million were considered to be particularly vulnerable and in need of humanitarian assistance. These 1.4 million people were assumed to be a vulnerable group pre-conflict and disproportionately affected by displacement, loss of income, pensions, eroded purchasing power, reduced access to markets and harsh winter conditions, and are thus considered to be in need of assistance. In this case, unmet needs have not been measured through field assessments and are assumptions. Strengths The strength of this example is its simplicity. A few metrics are used to estimate the total number of PIN and the aggregation method is additive. Another advantage is that is a stand-alone methodology was developed for the Humanitarian Needs Overview (HNO), circumventing the discussion on the sectoral and inter-sectoral overlap. Limitations A limitation of this example is its emphasis on historic vulnerabilities with limited explanatory power for the actual crisis impact. Dynamics specific to the context might remain uncovered, including innovative coping mechanisms, etc. Agreeing on and establishing a baseline to work from is crucial. the lack of such agreement can result in the lack of shared situational awareness and incomparability of the data. another issue is the unavoidable potential for duplication among categories. |  | |
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