Only the monthly income wasshown to have association with mitigation activities of residents in BarangaySanto Domingo with a p-value of 0.005. The correlation value is 0.3328 – havingstrong association where 0.

01-0.10 weak correlation; 0.11-0.30 moderatecorrelation; more than 0.30 strong correlation.

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As shown in table 2, respondentswith higher income would tend to do measures for mitigation as they havefinancial capability to do so as compared to the respondents with low income.This conforms to the findings of Reganit (2005) in his study on copingmechanisms on flooding which shows that income affects the coping mechanisms atdifferent stages of flooding – before, during and after. Households with lowerincome are more vulnerable than households with higher income, as those thathave higher income can introduce measures that could make them safe. Likewise,they can recover easier given that they have the financial capability (Reganit,2005).    Table3. Correlation of socio-economic profile of respondents’ to their typhoon resilience  Socio-economic parameters p-value Age 1.000 Gender 0.171 Highest Education Attainment 1.

000 Work 0.350 Monthly Income 0.684 Number of Household Members 0.336 Media Access 1.000 House Ownership *0.057 House Structure 0.664  When it to comes toresilience, which means the ability to “spring back from” a shock (UNISDR,2009), as shown in Table 3 only the house ownership is found to haveassociation with a p-value of 0.057.

The correlation value is 0.2075 – havingmoderate association, where 0.01-0.

10 weak correlation; 0.11-0.30 moderatecorrelation; more than 0.30 strong correlation.

This can be relate to the factthat people tend to be more concern (e.g. to repair their houses aftertyphoons) if they own the house, for their safety and for them to be moreprepared for other calamities to come, than when they are just renting orliving with friends and/or relatives. Additionally, according to the UnitedNations International Strategy for Disaster Reduction (UNISDR, 2009), theresilience of a community in relation to potential hazard events is determinedby the degree to which the community has the necessary resources (e.

g.financial resources) and is capable of organizing itself both prior to andduring times of need. However, for the case of Santo Domingo, income does nothave association to respondents’ resiliency to typhoon since majority of therespondents have a very low income.