Main Findings

Goals of this Analysis

This analysis attempts to answer: Are property acquisitions a cost-effective flood mitigation strategy? Property acquisitions are also known as voluntary buyouts and are a component of managed retreat from flood prone areas.

Methodology

This analysis uses data from Loss Avoidance Studies. Loss Avoidance Studies compare the costs of mitigation actions with the losses avoided from actual flood events. Unlike a benefit-cost analysis (BCA), a loss avoidance study is retrospective and looks back at actual floods, rather than forecasted events.

Most of the studies were found on FEMA’s website of Hazard Mitigation Assistance Loss Avoidance Study Summaries. In most cases the full study (not just the summary report) was used. Additional Loss Avoidance Studies by entities other than FEMA (e.g., consulting firms, state emergency management agency) were found by searching Google for a combination of the following terms: “loss avoidance study”, “acquisition”, “buyout”, “flood”, “mitigation”.

The following data were extracted from each study:

Studies were excluded if they did not distinguish acquisition from other mitigation approaches in their analysis.

A total of 13 separate loss avoidance studies examining property acquisition were included in this analysis. Many of the studies contained information on multiple localities (e.g., counties, cities). The 13 studies contained a total of 39 data points on acquisitions. A data point typically corresponds to several property acquisitions in a county, town, or city. In some studies, the loss avoidance study aggregated several counties. In all cases each data point represents several acquired properties.

Return on Investment (ROI)

Return on Investment is calculated as: \[ Losses Avoided (USD) / Project Investment (USD) \]

As stated above, Losses Avoided include damages to structure & contents and displacement costs. Project Investment includes costs of acquisition, demolition, legal fees, etc.

An ROI greater than 1.0 indicates that the benefits (i.e., losses avoided) outweigh the costs (i.e., project investment) and the mitigation activity is considered cost-effective.

The average ROI for property acquisitions is 2 (min=0, max=6, 95% confidence interval= +/-0.57). The figure below shows the frequency distribution (i.e., histogram) of ROI for acquisitions. The red dashed line indicates the average ROI.

64.1% of property acquisitions had a ROI greater than 1.

Another way to visualize the ROI is to compare the project investment to losses avoided. The dashed line indicates an ROI of 1. Any points above that line have a ROI > 1 and are considered cost-effective.

Riverine vs. Coastal Flooding

Property acquisitions in riverine systems were slightly more cost-effective (217% return on investment) than in coastal systems (161% return on investment), but the difference is unlikely to be statistically significant due to the high variation in ROI for both groups.

Note: The upper and lower “hinge” correspond to the 25th and 75th percentiles. Data beyond the “whisker” are considered outliers.

ROI Through Time

This figure examines how ROI of property acquisitions changes through time. The x-axis is the number of years over which the loss avoidance study was conducted. The blue line is a best-fit linear regression with 95% confidence intervals in grey.

Return on investment (ROI) of property acquisitions increases through time. All projects evaluated in this analysis were cost-effective (ROI > 1) after 15 years. It makes sense that ROI would increase with time as more flood events can occur (and losses are avoided).

Property Acquisition vs. Structure Elevation

Property acquisition is not the only flood mitigation strategy. Another common approach is structure elevation.

An additional 10 loss avoidance studies on elevations were acquired by similar methods as described above. These studies contained 39 data points.

The average ROI for eleveation is 1.71 (min=0.73, max=3.31, 95% confidence interval= +/-0.58). The average ROI for property acquisitions is 2.

Based on this preliminary analysis, there does not appear to be a statistically significant difference in ROI between acquisition and elevation.

Note: The upper and lower “hinge” correspond to the 25th and 75th percentiles. Data beyond the “whisker” are considered outliers.

Caveats

There are numerous costs and benefits of property acquisition that are not considered in a loss avoidance study (e.g., savings on flood insurance premiums for property owners, loss of proprety tax revenue for municipalities, change in property value for remaining structures, etc.). These must be considered if a comprehensive assessment of cost-effectiveness is going to be made.

Two of the studies (FEMA 2009 Eastern Missouri; FEMA 2013 Austin, MN) include vacant lots in the analysis. Because there were no structures on acquired vacant lots, there are also no avoided losses. However, the cost of acquiring the vacant lots was included in the ROI calculation because it was a part of the overall project cost.

Studies Included in this Analysis

The following Loss Avoidance Studies that reported on property acquisition were used in this analysis:

author year title
White 2011 Establishing long-term cost effectives of FEMA buyouts: A loss avoidance study of the acquisition/demolition of 22 properties in Sheperdsville, KY
FEMA 2000 Losses Avoided in Birmingham, Alabama
FEMA 2013 Loss Avoidance Study Austin, Minnesota, 163 Building Acquisitions Update of March 2001 Study
FEMA 2009 Loss Avoidance Study: Eastern Missouri, Flood Control Mitigation Part Two: Detailed Methodology
FEMA 2017 Loss Avoidance Study: Hancock, Harrison, and Jackson Counties, MS
FEMA 2009 Loss Avoidance Study: Wisconsin Property Acquisition and Structure Demolition
FEMA 2009 Loss Avoidance Study: Oregon Property Acquisition and Structure Elevation
FEMA 2010 Loss Avoidance Study: Iowa Building Modification Projects
FL Division of Emergency Management 2017 Loss Assessment: Hurricane Matthew (DR-4283)
Gibson 2017 Louisiana Resiliency
AECOM 2019 Hurricane Floyd / Hurricane Matthew Empircal Disaster Resiliency Study
McVay et al. ? Estimating the Return on Invest of Buyouts: Loss Avoidance Study for the City of Ottawa, Illinois
FEMA 2010 Loss Avoidance Study Georgia, Building Modification Projects

The following Loss Avoidance Studies that reported on structure elevation were used in this analysis:

author year title
FEMA 2012 Loss Avoidance Study Jefferson Parish, Louisiana Hurrican Isaac 2012
FEMA 2008 Loss Avoidance Study Sonoma County, California Elevated Structures
FEMA 2009 Loss Avoidance Study: Oregon Property Acquisition and Structure Elevation
VA Dept Emergency Management 2018 Loss Avoidance Study for the Commonwealth of Virginia’s 2018 Update to the State Hazard Mitigation Plan
FEMA 2017 Loss Avoidance Study: Hancock, Harrison, and Jackson Counties, MS
Gibson 2017 Louisiana Resiliency
FEMA 2010 Loss Avoidance Study: Iowa Building Modification Projects
FEMA 2007 Loss Avoidance Study: City of Snoqualmie, WA
FEMA 2008 Evaluating Losses Avoided Through Hazard Mitigation
State of Washington Military Department 2013 Loss Avoidance Study: Lewis County, WA, Homes Elevated after the December 2007 Flood Event