15.11.2013 Views

Rapid Assessment for Resilient Recovery and ... - GFDRR

Rapid Assessment for Resilient Recovery and ... - GFDRR

Rapid Assessment for Resilient Recovery and ... - GFDRR

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Housing Sector<br />

Summary<br />

The 2011 flooding brought impacts beyond anyone’s anticipation, both in quantity as well<br />

as in timing. While <strong>for</strong> agriculture this meant total loss of harvests, in the area of housing<br />

the relatively slow rise of the water gave most families time to move their valuables to a<br />

safer place.<br />

Damage was mainly to household goods, estimated at about THB 38 billion worth, <strong>and</strong><br />

less to structures, which amounted to about THB 7.8 billion. In addition, losses grew to<br />

large proportions due to the long period of evacuation – in some cases over three months<br />

– amounting to almost THB 36 billion, borne primarily by host families, government agencies,<br />

private sector entities <strong>and</strong> other donors; aside from these, the education sector contributed<br />

another THB 1.7 billion <strong>for</strong> this (see Education section). Cleaning of properties <strong>and</strong><br />

goods cost roughly THB 1.97 billion, but at the same time may have provided about THB<br />

0.99 billion in paid labor (approximately 60 percent of labor was voluntary).<br />

Most people were more concerned about their livelihoods (especially in rural <strong>and</strong> industrial<br />

park areas) <strong>and</strong> household goods. There was not much damage found among the house<br />

buildings themselves. However, while not much repair can be done, the quality of timber<br />

structures will have depreciated significantly.<br />

Damage <strong>and</strong> Losses<br />

It is to be noted that the damage <strong>and</strong> loss assessment is a rough estimate, using a series<br />

of assumptions that are extrapolated over the focus area, <strong>for</strong> the purpose of developing<br />

policies <strong>and</strong> programs that will cover the relevant sectors, <strong>and</strong> allocating budgets. The<br />

actual figures on damage <strong>and</strong> losses should come from field inspections <strong>and</strong> reports that<br />

can be verified by the public.<br />

Process of <strong>Assessment</strong><br />

The <strong>Rapid</strong> <strong>Assessment</strong> team benefitted from great collaboration with national <strong>and</strong> local<br />

agencies, including the translation of many references. However, as assessments were<br />

ongoing at provincial level, a large part of the data was not yet available that could have<br />

been used <strong>for</strong> cross-checking.<br />

The extent of damage was estimated from the number of houses that likely became inundated,<br />

established by an analysis of flood maps. To arrive at a more representative figure<br />

of the cost of damage to buildings – rather than applying an across-the-board generalization<br />

– the costing was disaggregated by types of housing, construction materials used, <strong>and</strong><br />

number of floors that are typical to different income brackets. For lack of data, this exercise<br />

uses the same proportion of building types across the provinces, although some parts are<br />

rural <strong>and</strong> others are more urban. Using secondary data <strong>and</strong> interview results, estimates<br />

were done on the approximate value of household goods. Preliminary local data of the<br />

visited provinces were used to verify the damage <strong>and</strong> losses estimates, which were then<br />

extrapolated into total provincial figures. Annex 14 provides a list of assumptions used<br />

152 THAI FLOOD 2011 RAPID ASSESSMENT FOR RESILIENT RECOVERY AND RECONSTRUCTION PLANNING

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!