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Seychelles Damage, Loss, and Needs Assessment (DaLA ... - GFDRR

Seychelles Damage, Loss, and Needs Assessment (DaLA ... - GFDRR

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<strong>Seychelles</strong> <strong>Damage</strong>, <strong>Loss</strong> <strong>and</strong> <strong>Needs</strong> <strong>Assessment</strong> (<strong>DaLA</strong>) 2013 Floods<br />

of noncompliance with existing building <strong>and</strong> l<strong>and</strong> use<br />

regulations, resulting in, inter alia, increased siltation of<br />

natural drainage, increased runoff, <strong>and</strong> poorly sited construction.<br />

Utilizing the <strong>Damage</strong> <strong>and</strong> <strong>Loss</strong> <strong>Assessment</strong> (<strong>DaLA</strong>)<br />

methodology (after receiving training from the World<br />

Bank team), the various government departments involved<br />

have been able to aggregate key data <strong>and</strong> underst<strong>and</strong><br />

the full impact of the flood in terms of both<br />

damages (impact on physical infrastructure) <strong>and</strong> losses<br />

(economic impact). Data gathering <strong>and</strong> analysis of flood<br />

impact were conducted for the following overarching<br />

sectors: (i) infrastructure—transport/roads, electricity,<br />

water supply <strong>and</strong> sanitation, <strong>and</strong> fire, police, <strong>and</strong> aviation;<br />

(ii) productive—agriculture <strong>and</strong> agro-industries;<br />

(iii) social—housing, health, <strong>and</strong> education; <strong>and</strong> (iv)<br />

cross-cutting—environment, gender, <strong>and</strong> disaster risk<br />

management. An analysis of the macroeconomic impact<br />

of the event was carried out as well.<br />

According to the summary of the data reported from<br />

each affected sector, the January 2013 disaster in the<br />

<strong>Seychelles</strong> resulted in total damage <strong>and</strong> losses of SR<br />

Figure 1: Summary of the data reported from<br />

each affected sector (million SR)<br />

104 million (US$8.4 million), equivalent to 0.77% of<br />

the country’s gross domestic product (GDP). Most of<br />

the flood damage was sustained by the infrastructure<br />

sector (38%), followed by the productive sector<br />

(26%), the social sectors (24%), the cross-cutting sectors<br />

(5%), the fiscal budget (4%), <strong>and</strong> personal income<br />

(3%) (see Figure 1).<br />

As is to be expected, the proportion of damage versus<br />

losses is greatest in the infrastructure sector <strong>and</strong> about<br />

equal in the productive <strong>and</strong> social sectors. The proportion<br />

of losses versus damage was greatest in the area<br />

of personal income, the environment sector, <strong>and</strong> other<br />

line ministries (see Figure 2).<br />

Given the heavy impact on infrastructure, the public<br />

sector bore the brunt of the disaster with 70% of damage<br />

<strong>and</strong> losses, versus 30% for the private sector.<br />

The following table summarizes the damage <strong>and</strong> losses<br />

for all affected sectors:<br />

Among the subsectors, the transport/roads subsector<br />

was the most affected (35.1%), followed by agricul-<br />

Figure 2: proportion of losses versus damage<br />

40<br />

Cross-cutting<br />

5,084,414<br />

5%<br />

Social sectors<br />

25,426,880<br />

24%<br />

Fiscal budget<br />

4,351,567<br />

4%<br />

Personal income<br />

2,506,586<br />

3%<br />

Infrasructure<br />

39,592,391<br />

38%<br />

Million SR<br />

30<br />

20<br />

n <strong>Loss</strong><br />

n <strong>Damage</strong><br />

Productive<br />

sectors<br />

27,532,008<br />

26%<br />

10<br />

0<br />

Infrasructure<br />

Productive<br />

Social sector<br />

Cross-cutting<br />

Fiscal budget<br />

Personal income

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