Investigating the stochastic structure of the recently published Redacted Claims data set by the FEMA National Flood Insurance Program

2021 ◽  
Author(s):  
Konstantinos Papoulakos ◽  
Theano Iliopoulou ◽  
Panayiotis Dimitriadis ◽  
Dimosthenis Tsaknias ◽  
Demetris Koutsoyiannis
Keyword(s):  
Flood Risk ◽  
Stochastic Structure ◽  
Economic Losses ◽  
Flood Insurance ◽  
Flood Hazards ◽  
National Flood Insurance Program ◽  
Data Set ◽  
Flood Impacts ◽  
Insurance Program ◽  
Modelling Strategies

<p>During the last decades, scientific research in the field of flood risk management has provided new insights and strong computational tools towards the deeper understanding of the fundamental probabilistic and stochastic behaviour that characterizes such natural hazards. Flood hazards are controlled by hydrometeorological processes and their inherent uncertainties. Historically, a high percentage of flood disasters worldwide are inaccurately or ineffectively reported regarding the aggregated number of the affected people, economic losses and generated flood insurance claims. In this respect, the recently published National Flood Insurance Program (NFIP) data by the Federal Emergency Management Agency (FEMA), including more than two million claims records dating back to 1978 and more than 47 million policy records for transactions, may provide new insights into flood impacts. The aim of this research is to process the actual insurance data derived from this database, in order to detect the underlying patterns and investigate its stochastic structure, paving the way for the development of more accurate flood risk assessment and modelling strategies.</p>

Does the National Flood Insurance Program Have Redistributional Effects?

2017 ◽  
Vol 17 (4) ◽  
Author(s):  
Okmyung Bin ◽  
John Bishop ◽  
Carolyn Kousky
Keyword(s):  
Emergency Management ◽  
Capita Income ◽  
Federal Emergency Management Agency ◽  
Flood Insurance ◽  
Lower Income ◽  
National Flood Insurance Program ◽  
Insurance Policies ◽  
Insurance Program ◽  
Per Capita ◽  
Zip Code

AbstractThis study examines possible redistributional effects of the National Flood Insurance Program (NFIP), using a nationwide database of flood insurance policies and claims between 2001 and 2013 from the Federal Emergency Management Agency. Applying methods from the tax and transfer progressivity literature, we use the departure from per capita income proportionality at the zip code level as our measure of progressivity. Our findings indicate that premiums as a percentage of coverage purchased are regressive: premium shares are larger than income shares for lower-income zip codes. Payouts, however, also as a percentage of coverage purchased, are progressive, meaning lower-income zip codes receive a larger portion of claims paid. Overall net premiums (premiums – payouts) divided by coverage are also regressive. Our findings are driven by certain aspects of the current rate structure of the NFIP, as well as how income is related to risk. We discuss potential policies to provide assistance to lower-income households in purchasing flood insurance.

scholarly journals COASTAL STORM INDUCED EROSION PREDICTIONS FOR FEMA FIS COASTAL HAZARD RISK MAPPING

2018 ◽  
pp. 103
Author(s):  
Christina Lindemer ◽  
Jeffrey Gangai ◽  
Christopher Mack ◽  
Elena Drei-Horgan ◽  
Darryl Hatheway
Keyword(s):  
Emergency Management ◽  
Additional Data ◽  
Flood Insurance ◽  
Coastal Hazard ◽  
National Flood Insurance Program ◽  
Cross Sectional ◽  
Hazard Risk ◽  
Insurance Program ◽  
Erosion Hazards ◽  
Regulations And Guidelines

Flood Insurance Studies (FISs) produced by the Federal Emergency Management Agency (FEMA) per the National Flood Insurance Program (NFIP) regulations and guidelines adopt storm-induced erosion criteria often called the “540 rule”. The methods used in the erosion analysis have been in place since the 1980s. The method requires dunes to be classified as fully eroded, or “removed”, when their cross-sectional reservoir is smaller than 540 square feet. Since the rule’s first application, additional data and recent evidence have become available leading FEMA to identify this approach as an area of the program in need of updating and improvement. Experts involved in conducting coastal hazard analyses for FEMA studies recommend exploring opportunities to improve FEMA guidelines for erosion criterion and revise NFIP regulations and guidance, as needed, to ensure that storm-related erosion hazards are appropriately evaluated and mapped along US coastlines.

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