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Flood exposure in Africa
Source: Sigma SwissRe
Flood exposure in AfricaFrom global to local challenges
Caspar HoneggerHead Flood, Swiss Re
Title : Black Gill Sans MT FontSubtitle
• Text
Agenda
• Global loss trends and the impact of climate change• Natural catastrophes - focus on eastern and southern
Africa• Flood insurance - challenges and solutions• CatNet - global natural peril assessement tool
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Loss trends and effects of climate change
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Insured natural catastrophe losseshave been increasing
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
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1986
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2011
2012
2013
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
Earthquake/tsunami Weather-related catastrophes Man-made disasters
insured claims in USD bn, at 2013 prices
Hurricane Andrew
HurricanesKatrina, Rita, Wilma
WTC
HurricaneSandy
Japan, NZ EQ,Thailand flood
Winter Storm Lothar
Hurricanes Ivan, Charley, Frances
HurricanesIke, Gustav
Flood losses are on the rise
Insured flood losses increased by 12% per year (7% when adjusted for inflation) worldwide since 1970
Global GDP growth for that period was less than 4% per year
Source: Sigma Database
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Increasing values• Growing population and economic activity lead to
increasing values• Increasing vulnerability of insured values
Exposed Areas• Settlement s in high risk areas such as flood plains and
coastal areas• Increasing value concentration in flood prone areas
Increased Insurance Penetration• Increasing wealth of population leads to more people
buying insurance
Climate Change• Hazard cycles and trends• natural & man-made climate change
Reasons for increasing flood losses
Global mean temperatures will continue to rise by between 2°C and 4.5°C by 2100
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What we know…
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We have a good idea of the energy budget of the Earth, i.e. incoming energy (mainly solar radiation), outgoing energy (radiation off the Earth’s surface and the atmosphere) and reservoirs (oceans, soil, atmosphere)
Climate models can reproduce the average changes in the system that are induced by changes in the energy budget (global temperature, etc.) rather well.
We know:If we turn up the heat, the water will start to boil.
We do not know:Where exactly the bubbles will be at a certain time…
??? ??
…where the uncertainty lies…
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Climate models are less reliable when it comes to the distribution of energy within the climate system.
we have more problems to project how regional climates will change and what will happen to extreme events.
…specifically on extremes
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Extremes are very rare by definition. Therefore we need very long-term
observations to detect significant changes in extremes.
Thus, observed changes are only detected for more frequent “extremes” (like warm or cold days, heat waves, heavy precipitation) or when aggregated over the globe.
In order to statistically detect changes in very extreme events, the change must be huge, and it will most probably be too late to react.
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Natural catastrophes:How does Eastern and Southern Africa compare?
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Cities most at risk from river flood worldwideby number of people affected
Source: Mind the Risk, Swiss Re publication 2013
Top 3: Pearl River Delta (12.0m), Shanghai (11.7m), Kolkata (10.5m) Top 3 Africa: Cairo (5.5m), Khartoum (2.5m), Kinshasa (1.8m)Top OEASI: Nairobi (0.6m)
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Source: Mind the Risk, Swiss Re publication 2013
Cities most at risk from cyclones worldwideby number of people affected
Top 3: Pearl River Delta (17.2m), Tokyo-Yokohama (14.1m), Manila (12.6m) Top 2 Africa: Antananarivo (0.1m), Maputo(0.1m)Top OEASI: Antananarivo, Maputo (0.1m)
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Source: Mind the Risk, Swiss Re publication 2013
Cities most at risk from earthquakes worldwideby number of people affected
Top 3: Tokyo (29.4m), Jakarta (17.7m) and Manila (16.8m)Top 3 Africa: Cairo (17.6m), Tunis (0.4m) and Algier (0.3m)Top OEASI: Kampala (0.05m)
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Mind the riskA global ranking of cities under threat from natural disasters
http://www.swissre.com/rethinking/climate_and_natural_disaster_risk/Mind_the_risk.html
Africa and OEASI: Economic losses and victims since 2000
Afr
ica
OEA
SI C
ou
ntr
ies
Flood is the dominant natural hazard in the OEASI region
More than a third of Africa's flood losses happened in the OEASI countries
More than a half of Africa’s storm losses occurred in OEASI countries
Source: Sigma SwissReg
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Source: Dartmouth Flood Observatory, 2015
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Flood Insurance:Challenges and solutions
Key flood insurance challenge
The majority of people live in low flood risk zonesA small number lives in high risk zones
People most at risk are most likely to buy a flood productWhich results in a adverse selected insurance portfolio
Solutions to adverse selection
Optional flood
products
risk based pricing
market penetration often limited
Examples: Germany,
China, Brazil
Mandatory flood
products
mandatory element solves adverse selection
needs government
and/or industry support
Examples:UK,
Switzerland, France
Risk based pricing for flood
• Hazard levels, as shown by flood zones, are the key determinant for flood risk
• Additional risk factors are protection measures, vertical value distribution and occupancies
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Flood - an underestimated riskInspect, inform, insure
http://media.swissre.com/documents/Flood.pdf
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CatNet: Swiss Re tool for worldwide natural peril assessement
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What is CatNet®?• Swiss Re's online natural hazard information and
mapping system• Professional overview and assessment of natural
hazard exposure worldwide • Preparation of local, regional and cross-regional risk
profiles
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• Swiss Re Global Flood Zones
• Official flood zones (e.g. USA, Germany)
• Global storm surge layer• Seismic Risk (update in
2015)• Earthquake Epicentres• Tropical Cyclone Tracks• Storm, Hail and Tornado
risk • Recent Events, Global
alerts, weather and climate information
• Population• sigma World Insurance &
sigma loss information• CRESTA• and more…!
CatNet datasets
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Swiss Re Global Flood ZonesDar es Salaam, Tanzania
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• Import your location data to illustrate risk exposures combined with natural hazard data
• Risk profiles for your locations
• Footprints of major catastrophes
• Import of Excel and KML• Editing and Export of data• Risk look-ups• Single Risk Assessment
Dashboard
CatNet® benefits & functionality
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For more details
go to our w
ebsite or c
ontact
your Swiss
Re underwriter
www.swissre.com/catnet
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Conclusions
Title : Black Gill Sans MT FontSubtitle
• Text• Flood is the dominant natural hazard in eastern and southern Africa
• Climate change will likely increase the frequency and severity of heavy precipitations events
• Flood is a growth opportunity for insurers and adds value to insureds, if necessary preconditions are met.
• The Swiss Re Global Flood Risk ZonesTM accessed via CatNet are widely used in the insurance industry and have helped to improve flood risk underwriting.
Flood insurance is a hot topic!
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Questions?
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Legal notice
©2015 Swiss Re. All rights reserved. You are not permitted to create any modifications or derivative works of this presentation or to use it for commercial or other public purposes without the prior written permission of Swiss Re.
The information and opinions contained in the presentation are provided as at the date of the presentation and are subject to change without notice. Although the information used was taken from reliable sources, Swiss Re does not accept any responsibility for the accuracy or comprehensiveness of the details given. All liability for the accuracy and completeness thereof or for any damage or loss resulting from the use of the information contained in this presentation is expressly excluded. Under no circumstances shall Swiss Re or its Group companies be liable for any financial or consequential loss relating to this presentation.