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