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The probable impacts of climate change on poverty - UNDP

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7.4.3.5 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Sylhet Divisi<strong>on</strong> 7.4.3.6 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Barisal Divisi<strong>on</strong><br />

Service<br />

6%<br />

Transport<br />

2%<br />

Business<br />

12%<br />

Industry<br />

1%<br />

Handloom<br />

0%<br />

Other<br />

19%<br />

N<strong>on</strong>-agri labor<br />

8%<br />

Agri/For/Live<br />

27%<br />

Fishery<br />

3%<br />

Agri Labor<br />

22%<br />

7.4.3.7 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Bangladesh<br />

Service<br />

10%<br />

Transport<br />

4%<br />

Business<br />

14%<br />

Industry<br />

1%<br />

Other<br />

13%<br />

Handloom<br />

1%<br />

N<strong>on</strong>-agri labor 4%<br />

7.4.4 Impacts <str<strong>on</strong>g>of</str<strong>on</strong>g> Cycl<strong>on</strong>e <strong>on</strong> Different Types <str<strong>on</strong>g>of</str<strong>on</strong>g> Livelihood<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g>re are 19 districts in the coastal belt <str<strong>on</strong>g>of</str<strong>on</strong>g> Bangladesh and table 03 shows the most vulnerable <strong>on</strong>es depending<br />

<strong>on</strong> frequency <str<strong>on</strong>g>of</str<strong>on</strong>g> being affected by cycl<strong>on</strong>e. <str<strong>on</strong>g>The</str<strong>on</strong>g> coastal districts are eventually vulnerable to cycl<strong>on</strong>e due to<br />

gevographical locati<strong>on</strong> but am<strong>on</strong>g those 19 coastal districts Patuakhali, Barisal, Cox’s Bazar, Khulna, Bhola,<br />

Noakhali, Chittag<strong>on</strong>g and Barguna are the most vulnerable districts depending <strong>on</strong> percentage <str<strong>on</strong>g>of</str<strong>on</strong>g> household<br />

being affected by cycl<strong>on</strong>es in the past 37 years.<br />

It is a matter <str<strong>on</strong>g>of</str<strong>on</strong>g> great regret that almost all the districts <str<strong>on</strong>g>of</str<strong>on</strong>g> Bangladesh have had bad experience <str<strong>on</strong>g>of</str<strong>on</strong>g> suffering from<br />

flood except for the hilly regi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the country. <str<strong>on</strong>g>The</str<strong>on</strong>g>refore, to assess the actual impact <str<strong>on</strong>g>of</str<strong>on</strong>g> flood, a district wise<br />

vulnerability and damage assessment is required. In this case, the percentage <str<strong>on</strong>g>of</str<strong>on</strong>g> household involved in agriculture<br />

in each flood affected district has been calculated and their vulnerability has been assessed through multiplying<br />

the percentage with frequency <str<strong>on</strong>g>of</str<strong>on</strong>g> flood. Some details have been presented in the next secti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the report.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> Probable Impacts <str<strong>on</strong>g>of</str<strong>on</strong>g> Climate Change <strong>on</strong> Poverty and Ec<strong>on</strong>omic Growth and<br />

the Opti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> Coping with adverse Effect <str<strong>on</strong>g>of</str<strong>on</strong>g> Climate Change in Bangladesh<br />

Service<br />

9%<br />

Transport<br />

2%<br />

Business<br />

15%<br />

Industry<br />

1%<br />

Handloom<br />

0%<br />

N<strong>on</strong>-agri labor<br />

5%<br />

Table 7.14: Exposure <str<strong>on</strong>g>of</str<strong>on</strong>g> Household Involved in Agriculture to Cycl<strong>on</strong>e<br />

Cycl<strong>on</strong>e 1970-2007<br />

District Times Total HH HH involved in<br />

Agri.<br />

Other<br />

12%<br />

Agri/For/Live<br />

31%<br />

Fishery<br />

2%<br />

Agri Labor<br />

20%<br />

HH affected<br />

in %<br />

Agri Labor<br />

21%<br />

Dhaka 1<br />

1666181 70827 4.25 4.25<br />

Agri/For/Live<br />

30%<br />

Fishery<br />

5%<br />

Vulnerability %<br />

73

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