Social Risk and Vulnerability Analysis: Bexar vs. Philadelphia
This paper presents a social risk and vulnerability analysis of Bexar County, Texas, and Philadelphia County, Pennsylvania. Using the Social Vulnerability Index (SoVI), demographic data from the U.S. Census Bureau, and hazard identification reports, the paper examines how socioeconomic and environmental factors shape each county's resilience to disasters. Philadelphia County's SoVI score of 3.418284 far exceeds Bexar County's score of 0.230416, reflecting higher susceptibility to hazards such as flooding and tornadoes. The paper also identifies key environmental risks for each county, discusses the correlation between poverty and environmental exposure, and evaluates social service organizations — including FEMA, the Red Cross, and the Office of Emergency Management — that support at-risk populations before, during, and after disasters.
- Introduction: Purpose and SoVI framework overview
- Background and Geography: Geographic profiles of both counties
- Demographics: Population, race, age, and housing data
- Social Vulnerability Index Comparison: SoVI scores and historical disaster correlation
- Environmental Risks by County: Drought, heat, wind, tornadoes, and floods
- Socioeconomic Risks and SoVI Data: Poverty, insurance gaps, and population vulnerability
- Social Service Organizations and Conclusion: FEMA, Red Cross, OEM roles and key findings
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What makes this paper effective
- Grounds all claims in quantitative data — SoVI scores, Census figures, and tornado indexes — giving the comparative analysis a concrete empirical foundation.
- Provides a side-by-side demographic table covering population, race, income, health insurance, and poverty, allowing readers to see disparities at a glance.
- Links abstract vulnerability scores to real historical events (Hurricane Agnes, Philadelphia's flood record) to illustrate why the numbers matter in practice.
- Explicitly flags a gap in the SoVI methodology — the exclusion of uninsured individuals — demonstrating critical engagement with source data rather than passive acceptance.
Key academic technique demonstrated
The paper exemplifies comparative case analysis: two geographically and demographically distinct counties are evaluated on the same set of dimensions (SoVI score, environmental hazards, socioeconomic indicators, and available social services), allowing the writer to draw systematic conclusions about relative vulnerability. This technique is reinforced by the consistent use of parallel structure when describing each county, making similarities and contrasts easy to track.
Structure breakdown
The paper opens with an introduction that establishes purpose and the SoVI framework, then provides geographic and demographic background on both counties. A comparative SoVI table anchors the vulnerability analysis section, followed by separate environmental-risk profiles for Bexar and Philadelphia. Socioeconomic risks are then synthesized using Census data before the paper turns to social service organizations. The conclusion restates key findings and underscores the importance of including all at-risk groups in emergency planning.
Introduction
All regions of the United States have experienced disasters, both natural and human-made. The vulnerabilities that give rise to these disasters will continue to occur in the future. Vulnerability to hazards is affected by several factors, including age, income, the strength of social networks, and neighborhood characteristics. In mitigating and planning for emergencies, state, local, and tribal representatives must identify socially vulnerable communities in order to provide residents with improved assistance during a disaster. State, local, and tribal agencies are most familiar with the individuals in their communities. The Social Vulnerability Index is intended to assist them in their efforts to ensure the safety and well-being of their residents (Flanagan et al., 2011). The components of the SVI can help state and local personnel concerned with all stages of the disaster cycle. The purpose of this paper is to undertake a social risk and vulnerability analysis of both Bexar County, Texas, and Philadelphia County, Pennsylvania.
Background and Geography
Bexar County is located in south-central Texas, situated between the Edwards Plateau to the northwest and the Gulf Coastal Plains to the southeast. On the northeastern side of the county, the topography slopes upward to the Edwards Plateau, while to the southeast it slopes downward to the Gulf Coastal Plains. The region's mildly rolling landscape is scattered with mesquite, oak trees, and cacti, which thrive under partially cloudy or clear skies present approximately sixty percent of the time (San Antonio Office of Emergency Management, 2014).
Philadelphia County, by contrast, is situated at the convergence of the Schuylkill River and the Delaware River on the eastern boundary of Pennsylvania. To the west lie the Appalachian Mountains, and to the east is the Atlantic Ocean. This positioning produces a moderate climate, as the two geographic features temper extremes of both heat and cold. Periodically during the summer months, the city becomes inundated with ocean air that generates high humidity. Rainfall is fairly evenly distributed throughout the year, with peak amounts during the summer months, sometimes causing the Schuylkill River to flood. Snowfall is generally greater in the northern suburbs than in the city itself, where snow occasionally turns to rain. High winds sometimes prevail during the winter months (City Data, 2016).
References
Bexar County Emergency Management. (2016). The mission and vision of the OEM. Retrieved from http://www.bexar.org/675/OEM-Mission-Vision
Brouwer, R., Akter, S., Brander, L., & Haque, E. (2007). Socioeconomic vulnerability and adaptation to environmental risk: A case study of climate change and flooding in Bangladesh. Risk Analysis, 27(2), 313–326.
Chavi. (2015). Here are the 10 worst disasters to occur in Pennsylvania history. Only in Your State. Retrieved from http://www.onlyinyourstate.com/pennsylvania/pa-disasters/
City Data. (2016). Philadelphia: Geography and climate. Retrieved from http://www.city-data.com/us-cities/The-Northeast/Philadelphia-Geography-and-Climate.html
Dunning, C. M., & Durden, S. (2013). Social vulnerability analysis: A comparison of tools. Institute for Water Resources.
Flanagan, B. E., Gregory, E. W., Hallisey, E. J., Heitgerd, J. L., & Lewis, B. (2011). A social vulnerability index for disaster management. Journal of Homeland Security and Emergency Management, 8(1).
Hazards and Vulnerability Research Institute. (2013). Social Vulnerability Index (SoVI®) for the United States — 2006–10 data. University of South Carolina. Retrieved from http://webra.cas.sc.edu/hvri/products/sovi.aspx
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National Weather Service. (2014). Top ten highest historical crests: Schuylkill River at Philadelphia. Retrieved from http://www.weather.gov/media/marfc/Top20/SEPA/Philadelphia.pdf
Red Cross. (2016). Emergency services. Retrieved from http://www.redcross.org/local/pennsylvania/eastern-pennsylvania/local-services/emergency-services
San Antonio Office of Emergency Management. (2014). City of San Antonio and Bexar County: Hazard identification, risk assessment and consequence analysis. Retrieved from http://saoemprepare.com/Portals/0/HIRA%20Plan.pdf
United States Census Bureau. (2016). Profile of general population and housing characteristics: 2010 demographic profile data — Philadelphia County, Pennsylvania.
USA.com. (2016). Philadelphia, PA natural disasters and weather extremes. Retrieved from
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