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Global Report on Human Settlements 2007 - PoA-ISS

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190<br />

Natural and human-made disasters<br />

Table 7.9<br />

Disaster incidence and<br />

impacts in Africa<br />

(1996–2005)<br />

Note: For all disaster types,<br />

small events with less than 10<br />

mortalities or 100 affected<br />

people are not included.<br />

Source: EM-DAT, CRED<br />

database, University of<br />

Louvain, Belgium, www.emdat.net<br />

Number of events Mortality People affected (thousands) Ec<strong>on</strong>omic loss (US$<br />

milli<strong>on</strong>, 2005 value)<br />

Avalanches/landslides 11 251 3 No data<br />

Drought/famines 140 4656 173,979 334<br />

Earthquakes/tsunamis 20 3313 361 5824<br />

Extreme temperatures 7 168 0 1<br />

Floods 290 8183 23,203 1880<br />

Volcanic erupti<strong>on</strong>s 5 201 397 10<br />

Windstorms 74 1535 3902 1082<br />

Industrial accidents 49 2785 10 838<br />

Miscellaneous accidents 94 2847 189 23<br />

Neo-liberal policies<br />

… have scaled down<br />

state resp<strong>on</strong>sibilities<br />

for risk reducti<strong>on</strong><br />

and resp<strong>on</strong>se…<br />

compared to other world regi<strong>on</strong>s, but is high as a proporti<strong>on</strong><br />

of GDP.<br />

Between 1996 and 2005, more people were killed or<br />

affected by volcanic erupti<strong>on</strong>s in Africa than in any other<br />

regi<strong>on</strong>, despite incidence (five events) being low (see Table<br />

7.9). Low incidence in Africa is explained by the l<strong>on</strong>g return<br />

periods for volcanic erupti<strong>on</strong>s, unlike in other world regi<strong>on</strong>s<br />

that are more exposed to volcanic risk. The high loss-to-event<br />

ratio indicates low resilience and this was dem<strong>on</strong>strated in<br />

the volcanic erupti<strong>on</strong> of Mount Nyirag<strong>on</strong>go, which destroyed<br />

40 per cent of buildings and displaced 250,000 pers<strong>on</strong>s in<br />

Goma (Democratic Republic of C<strong>on</strong>go) in 2002. 102<br />

African rates of urbanizati<strong>on</strong> are the most rapid in the<br />

world, albeit from a low base. The poverty of countries in<br />

this regi<strong>on</strong> severely limits household coping capacity and the<br />

capacity of governments to build resilience and undertake<br />

risk reducti<strong>on</strong>. There is a growing and, in some cities, str<strong>on</strong>g<br />

civil society presence that provides coordinati<strong>on</strong> for grassroots<br />

acti<strong>on</strong>s. The lack of regi<strong>on</strong>al governance for risk<br />

reducti<strong>on</strong> is a serious limiting factor preventing<br />

South–South learning across the regi<strong>on</strong>. Limited capacity to<br />

regulate industry also means urban settlements in this<br />

regi<strong>on</strong> have am<strong>on</strong>g the highest rates of industrial disaster<br />

worldwide. Widespread poverty and vulnerability make this<br />

regi<strong>on</strong> highly susceptible to the local impacts of global<br />

envir<strong>on</strong>mental change. Vulnerability is exacerbated by<br />

c<strong>on</strong>flict, chr<strong>on</strong>ic disease and weak governance.<br />

North African countries have higher levels of urbanizati<strong>on</strong><br />

and development than sub-Saharan Africa. Poverty<br />

and inequality remain high; but government risk reducti<strong>on</strong><br />

capacity is str<strong>on</strong>ger than in sub-Saharan Africa, although in<br />

some states limited civil society presence c<strong>on</strong>strains the<br />

building of resilience outside of state-sancti<strong>on</strong>ed activities.<br />

In this sub-regi<strong>on</strong>, risk management is led by technological<br />

and engineering sectors. For example, great advances have<br />

been made in mapping urban earthquake risk and designing<br />

earthquake-proof structures. A lack of focus <strong>on</strong> governance<br />

and social development has created challenges for implementing<br />

and enforcing codes.<br />

Americas<br />

Across all regi<strong>on</strong>s, the Americas experience the greatest<br />

ec<strong>on</strong>omic loss from natural disasters (see Table 7.10). In<br />

2005, Hurricane Katrina al<strong>on</strong>e caused US$81.2 billi<strong>on</strong> in<br />

ec<strong>on</strong>omic damage in the US (see Table 7.3). Windstorms<br />

(including hurricanes and tornadoes) are the most frequent<br />

type of disaster, affect the greatest number of people and<br />

cause the highest total ec<strong>on</strong>omic costs. In turn, windstorms<br />

can trigger flooding and landslides. Indeed, flooding is a high<br />

incidence event that causes the greatest number of deaths<br />

for any disaster type in the regi<strong>on</strong> and also records a high<br />

mortality count. In 1998, Hurricane Mitch devastated<br />

H<strong>on</strong>duras and Nicaragua, killing over 9000 people, many of<br />

whom lost their lives to landslides. 103 The impacts of<br />

volcanic erupti<strong>on</strong>s have been limited despite the regi<strong>on</strong><br />

experiencing 46 per cent of the global recorded events from<br />

1996 to 2005. This suggests good levels of resilience to this<br />

hazard type.<br />

North America is a wealthy and highly urbanized<br />

regi<strong>on</strong>. Canada and the US have str<strong>on</strong>g states and active civil<br />

societies providing top-down and bottom-up risk reducti<strong>on</strong><br />

capacity. Mexico is a large ec<strong>on</strong>omy with a str<strong>on</strong>g state and<br />

active civil society, but is weakened by extensive poverty and<br />

tensi<strong>on</strong>s in governance, particularly related to indigenous<br />

and marginal urban and rural populati<strong>on</strong>s. Neo-liberal<br />

policies, particularly in the US and more recently in Mexico,<br />

have scaled down state resp<strong>on</strong>sibilities for risk reducti<strong>on</strong> and<br />

resp<strong>on</strong>se and placed greater emphasis <strong>on</strong> the role of private<br />

citizens and companies. This has had mixed results for urban<br />

Table 7.10<br />

Disaster incidence and<br />

impacts in the<br />

Americas (1996–2005)<br />

Note: For all disaster types,<br />

small events with less than 10<br />

mortalities or 100 affected<br />

people are not included.<br />

Source: EM-DAT, CRED<br />

database, University of<br />

Louvain, Belgium, www.emdat.net<br />

Number of events Mortality People affected (thousands) Ec<strong>on</strong>omic loss (US$<br />

milli<strong>on</strong>, 2005 value)<br />

Avalanches/landslides 42 1632 203 97<br />

Drought/famines 51 54 15,287 4094<br />

Earthquakes/tsunamis 45 2861 3757 7689<br />

Extreme temperatures 33 1597 4037 5620<br />

Floods 281 38,028 9525 27,903<br />

Volcanic erupti<strong>on</strong>s 23 54 283 22<br />

Windstorms 321 28,110 25,278 234,680<br />

Industrial accidents 39 277 576 1245<br />

Miscellaneous accidents 70 2989 12 1609

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