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Natural catastrophes and man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst

Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

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Page 1: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Natural catastrophes andman-made disasters in 2016Lucia Bevere, Senior Catastrophe Data Analyst

Page 2: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Key points

2

Losses highest for four years

Highest losses from floods in 2016

Earthquake risk is still largely uncovered

2

1

3

Wildfire losses are increasing4

Page 3: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Losses totalled USD 175 billion in 2016,with 70% uninsured

Source: Cat Perils and Swiss Re Institute

Insured lossesUSD 54bn

Uninsured lossesUSD 121bn

2016

Page 4: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Catastrophe losses highest for four years …

4Source: Cat Perils and Swiss Re Institute

175

430

192

Page 5: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

… but still on average

5Source: Cat Perils and Swiss Re Institute

175 175

430

192

Page 6: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Hurricane Matthew

6Source: Cat Perils and Swiss Re InstituteSources: National Hurricane Center, Nasa

Landfall in South Carolina as Cat1

Landfall in Haiti and Cuba as Cat4Victims734, mostly in Haiti

Total lossesUSD 12bn

Insured lossesUSD 4bn

Page 7: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Low number of victims in 2016 …

7

0

50

100

150

200

250

300

350

400

1970 1975 1980 1985 1990 1995 2000 2005 2010 2015

Source: Cat Perils and Swiss Re Institute

4thlowest

thou

sand

s

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8

up to 411 millionpeople affected*

>2 million buildingsdestroyed or damaged

* EM-DAT

… but many millions suffered hardship from the disasterevents

Page 9: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

9Source: Cat Perils and Swiss Re Institute

Page 10: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

10

A year of many damaging earthquakes

EcuadorTot loss: USD 4bnIns loss: USD 0.5bn

Italy (2 events)Tot loss: USD 6bnIns loss: USD 0.2bn

NZTot loss: USD 3.9bnIns loss: USD 1.7 to 2.4bn

JapanTot loss: USD 25 to 30bnIns loss: USD 4.9bn

Source: Cat Perils and Swiss Re Institute

Page 11: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

11

Page 12: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

12

Louisiana floodsAugust 2016

• 100 000 displaced

• 13 victims

• damaged

50 000 houses

20 000 vehicles

20 000 businesses

• 10bn economic loss

• 3.1bn insured loss

Page 13: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

• Flood events generate the highest economiclosses in 2016

• Highest number of multi-billion flood eventsin the US ever recorded (economic losses),all freshwater floods

• High component of water damage inHurricane Matthew and other storms

A year of severe flooding events

13

0

10

20

30

40

50

60

Earthquakes Floods Storms Others

Insured vs uninsured losses from floodevents vs other Nat Cat in 2016, USDbn

Source: Cat Perils and Swiss Re Institute

Insured Uninsured

Page 14: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

• Increasing number of pluvial flood events

• Increasing damage from flash floods in urban areas

Trends in flood losses

14

Page 15: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

XXXX

• XXXXX

• 590 000 ha of forest burnt

• 88 000 people evacuated

• 19 oil facilities evacuated

• Insured loss: USD 2.8bn (CAD 3.7bn)

• Costliest Nat Cat in Canada ever

• 2nd costliest wildfire loss ever

Fort McMurray wildfires, CanadaMay 2016

15

Page 16: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Costliest wildfires, 1970-2016

16

Insured losses from costliest wildfires, in USDbn

Page 17: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Wildfires – a burning issue for insurers?

17

0

1

2

3

4

5

6

7

8

9

1980-1989 1990-1999 2000-2009 2010-2016

Insured losses from wildfires, 1980-2016 (USDbn), Australia, Canada, US

3%

Source: Cat Perils and Swiss Re Institute

Page 18: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Making the world more resilient – Fort McMurray wildfires

18

With Swiss Re’s CAD300m loss estimatemore than 2200 homesdestroyed in the FortMcMurray wildfire canbe repaired / rebuilt andmore than 400businesses areprotected.

Source: Swiss Re Key Case Management

2200homes

Page 19: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Making the world more resilient

19

Swiss Re’s payment made toCaribbean clients within 12 weeksafter Hurricane Matthew. Withthis money approximately 800properties damaged in the stormcan be repaired / rebuilt.

Swiss Re’s payment of USD 293mon workers compensation claimsprovides wage replacement andmedical benefits to over 19 500people injured at work, globally.(Assuming an average work comp loss of USD15k).

Over 200 000 individualmotor liability claims werepaid by Swiss Re in 2016.(Assuming an average motor liabilityloss of USD 6k).

With Swiss Re’s CAD 300m lossestimate more than 2200 homesdestroyed in the Fort McMurraywildfire can be repaired / rebuiltand more than 400 businessesare protected.

The return period of the 2016 FrenchAgro losses, affecting more than 55kinsured farmers. Swiss Re as theleading reinsurer in this segmentparticipates on this loss with a shareof USD 130m. Subsequent claimsreviews increased the level of comfortwith our clients processes. As a resultSwiss Re will pay the claimed amountand continue to provide capacity,helping to close the protection gap inthe French agriculture segment.

Source: Swiss Re Key Case Management

USD23m

19 500people

200 000claims

2 200homes

1 in 50years

Page 20: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Earthquakes in central Italy

20Source: Cat Perils and Swiss Re Institute

August EQ

October EQs

1915 EQ

High

High

Significant

Moderate

Low

Amatrice Earthquake:24 August, magnitude 6.2

Norcia Earthquakes:October, magnitudes 5.5, 6.1 and 6.6

299 victims

Economic losses: USD 6bn

Insured losses: USD 0.2bn

Seismic Hazard 0.3s PSA(475yr Return Period)

Page 21: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Long history of costly quakes, 1968-2016, in USDbn

21

15

1

3

6

8

34

317

1976 Friuli

1976 Friuli2012 EmiliaRomagna

1997 Assisi

2016 Amatrice & Norcia

42009 L’Aquila

2002 Molise

1980 Irpinia

1968 Belice

Source: Cat Perils and Swiss Re Institute

Page 22: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

22Amatrice

Page 23: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Amatrice

Page 24: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

24Amatrice

Page 25: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

High vulnerability of the building stock in Italy

25

60% of residential buildingspredate 1974

industrial pre-fabricated buildings,many in seismic areas

700 000

1570First projectof an anti-seismicbuilding

1909First anti-seismicbuilding codein the world

2003Seismic mappingof the entirecountry

1974Anti-seismicconstructionlaw

Page 26: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Insured vs uninsured losses in USD billion

26Source: Cat Perils and Swiss Re Institute* at 2016 pricesEconomic losses = insured + uninsured losses

USD 121billion

Page 27: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

sigmaNo 2/2017Natural catastrophes and man-made disasters in 2016:a year of widespread damages

www.institute/swissre.com/sigma

27

Page 28: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Property; -2'649m

Motor; -2'128m

Liability; -1'576m

Non-Life Accident; -385m

Engineering; -343m

Marine; -293m

> USD 300m

USD 150m – 300m

USD 50m – 150m

< USD 50m

P&C RE Claims Payments = World ResilienceUpdate 2016

28

7’751m

Impact of 2016 claims payments:

Distribution by cedent country

2’700+ clients in 120 countries

Source: Swiss Re Key Case Management

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Page 30: Natural catastrophes and man-made disasters in 201675ec4a3a-ab68-4730... · man-made disasters in 2016 Lucia Bevere, Senior Catastrophe Data Analyst. Key points 2 ... 20 000 vehicles

Legal notice

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©2017 Swiss Re. All rights reserved. You are not permitted to create any modificationsor derivative works of this presentation or to use it for commercial or other public purposeswithout the prior written permission of Swiss Re.

The information and opinions contained in the presentation are provided as at the date ofthe presentation and are subject to change without notice. Although the information usedwas taken from reliable sources, Swiss Re does not accept any responsibility for the accuracyor comprehensiveness of the details given. All liability for the accuracy and completenessthereof or for any damage or loss resulting from the use of the information contained in thispresentation is expressly excluded. Under no circumstances shall Swiss Re or its Groupcompanies be liable for any financial or consequential loss relating to this presentation.