Reference no: EM133519568
Question I
The relationship between socioeconomic indicators, composition indicators, and household in the states of Lowa and Maryland is that they are the key indicators of the educational and economic composition of the state that is considered individually, in combination and measured at multiple units of geography. When using the data consolidated by the CDC, the average household income, poverty rate, percentage of households receiving public assistance, age, marital status and race should be taken into consideration.
The disability indicators and social vulnerability in the states of Lowa and Maryland indicate that poor people are most vulnerable to disability. They are forced to work and live in unsafe environments with poor sanitation, little access to education, clean water, crowded living conditions and enough healthy food (King 2019). Therefore, when the data consolidated by the CDC should consider the demographic and socioeconomic factors that impact the resilience of the states.
Question II
The indicators between socioeconomic indicators, household and composition indicators in the states of Lowa and Maryland include occupation, education and economic indicators. The socially vulnerable indicators are mostly affected during the disaster events (King 2019); therefore, uncovering these indicators helps in decreasing both human suffering and the financial loss related to providing public assistance and social services after a disaster.
The influence of disability indicators when predicting the social vulnerability in the states of Lowa and Maryland include the age, the strength of social network and neighborhood characteristics. The poor are more vulnerable before, during and after the catastrophic events, as well as racial and ethnic minorities. Therefore, the most susceptible individuals are those whose needs are not adequately taken into account in the planning of relief organizations and local response (King 2019). Hence, to plan and mitigate emergencies, the states should identify socially vulnerable communities to offer the residents with increased assistance throughout a disaster.
Reference
King, L. (2019). Examining Tornado Vulnerability and Index Validation in Oklahoma Using Components of the Social Vulnerability Index (Doctoral dissertation, Oklahoma State University).