About This Dataset
Explore the data behind natural disasters in Philadelphia and surrounding counties.
This dataset includes the expected annual loss (EAL), EAL score, the risk value cost, and risk score for each selected county. It also has information about the county’s social vulnerability, community resilience, and community resilience factor.
Sample Data 
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| County | State | Hazard | EAL Value (Expected Annual Loss) | EAL Score | Social Vulnerability | Community Resilience | CRF (Community Resiliance Factor) | Risk Value | Risk Score |
| Bucks County | PA | Costal Flooding | $1,198,599 | 77.4 | Very Low | Very High | $1 | $1,489,102 | 77.26 |
| Bucks County | PA | Drought | $531,051 | 89.2 | Very Low | Very High | $1 | $420,982 | 84.7 |
| Bucks County | PA | Earthquake | $2,240,199 | 86.9 | Very Low | Very High | $1 | $2,127,959 | 87.31 |
| Bucks County | PA | Hail | $470,590 | 81.2 | Very Low | Very High | $1 | $418,313 | 77.25 |
| Bucks County | PA | Heat Wave | $5,553,463 | 98.2 | Very Low | Very High | $1 | $5,162,080 | 97.71 |
| Bucks County | PA | Hurricane | $23,218,214 | 92.3 | Very Low | Very High | $1 | $21,687,963 | 91.61 |
| Bucks County | PA | Ice Storm | $476,339 | 88.1 | Very Low | Very High | $1 | $432,283 | 85.51 |
| Bucks County | PA | Landslide | $208,801 | 94 | Very Low | Very High | $1 | $166,253 | 89.5 |
| Bucks County | PA | Lightning | $1,455,047 | 97.1 | Very Low | Very High | $1 | $1,351,201 | 96.33 |
Date Created: June 2023
Date Modified: June 2023
Price: Free
File Format: XLS
(CSV or JSON available upon request)
This data was collected from FEMA and assembled by the FourFront analytics team. We focused on assembling data for the following counties in the Tri-state area:
- Philadelphia County (PA)
- Chester County (PA)
- Delaware County (PA)
- Montgomery County (PA)
- Bucks County (PA)
- Camden County (NJ)
- Gloucester County (NJ)
- Burlington County (NJ)
- New Castle county (DE)
Who Is This Data For?
This dataset can be used by anyone in Philadelphia or the surrounding areas to make predictions about how much damage will occur after a natural disaster. The data can also be useful for resource and allocation planning by governments and civic or humanitarian organizations.
The suggested use cases for this dataset include:
- Make predictions using the expected annual loss from different disasters to better prepare residents and community organizations
- Determine higher risk counties and properly allocate resources
- Influence local policy, help improve community resilience, and decrease social vulnerability
Enrichment Options
We utilize state-of-the-art AI and machine learning to enrich datasets further and provide predictive analytics for your important KPIs. Get in touch to learn more.
Enrichment opportunities for this dataset include:
- Request data for a different area of the country
- Blend data with other data sources for additional insights
- Subscribe to a regularly updated data feed / Create a custom API
- Request related data unique to your needs
Data Enrichment
We can provide additional services such as blending this data with your internal data, applying predictive analytics, and more. Get in touch to learn more.
Additional Questions?
If you have additional questions, or have a specific request for this dataset, contact our team at FourFront.
Date Created: June 2023
Date Modified: June 2023
Available Formats: CSV, XLS, JSON
Price: Free
Sample Data
Scroll table horizontally to view more
| County | State | Hazard | EAL Value (Expected Annual Loss) | EAL Score | Social Vulnerability | Community Resilience | CRF (Community Resiliance Factor) | Risk Value | Risk Score |
| Bucks County | PA | Costal Flooding | $1,198,599 | 77.4 | Very Low | Very High | $1 | $1,489,102 | 77.26 |
| Bucks County | PA | Drought | $531,051 | 89.2 | Very Low | Very High | $1 | $420,982 | 84.7 |
| Bucks County | PA | Earthquake | $2,240,199 | 86.9 | Very Low | Very High | $1 | $2,127,959 | 87.31 |
| Bucks County | PA | Hail | $470,590 | 81.2 | Very Low | Very High | $1 | $418,313 | 77.25 |
| Bucks County | PA | Heat Wave | $5,553,463 | 98.2 | Very Low | Very High | $1 | $5,162,080 | 97.71 |
| Bucks County | PA | Hurricane | $23,218,214 | 92.3 | Very Low | Very High | $1 | $21,687,963 | 91.61 |
| Bucks County | PA | Ice Storm | $476,339 | 88.1 | Very Low | Very High | $1 | $432,283 | 85.51 |
| Bucks County | PA | Landslide | $208,801 | 94 | Very Low | Very High | $1 | $166,253 | 89.5 |
| Bucks County | PA | Lightning | $1,455,047 | 97.1 | Very Low | Very High | $1 | $1,351,201 | 96.33 |
This data was collected from FEMA and assembled by the FourFront analytics team. We focused on assembling data for the following counties in the Tri-state area:
- Philadelphia County (PA)
- Chester County (PA)
- Delaware County (PA)
- Montgomery County (PA)
- Bucks County (PA)
- Camden County (NJ)
- Gloucester County (NJ)
- Burlington County (NJ)
- New Castle county (DE)
Who Is This Data For?
This dataset can be used by anyone in Philadelphia or the surrounding areas to make predictions about how much damage will occur after a natural disaster. The data can also be useful for resource and allocation planning by governments and civic or humanitarian organizations.
The suggested use cases for this dataset include:
- Make predictions using the expected annual loss from different disasters to better prepare residents and community organizations
- Determine higher risk counties and properly allocate resources
- Influence local policy, help improve community resilience, and decrease social vulnerability
Enrichment Options
We utilize state-of-the-are AI and machine learning to enrich the datasets further and provide predictive analytics for your important KPIs. Get in touch to learn more.
Enrichment opportunities for this dataset include:
- Request data for a different area of the country
- Blend data with other data sources for additional insights
- Subscribe to a regularly updated data feed / Create a custom API
- Request related data unique to your needs
Data Enrichment
We can provide additional services such as blending this data with your internal data, applying predictive analytics, and more. Get in touch to learn more.
Additional Questions?
If you have additional questions, or have a specific request for this dataset, contact our team at FourFront.