3. Layout of the Presentation

15. Source: Study survey 2010

16. Figure 4 shows that in the study area women’s economic condition is very worst which is leading to less participation in decision making and make them most vulnerable of the society. In the study area 80% of 360 respondents were earning less than 5000 per month. Among these 360, 90 are women and 71% of them are unemployed and 16% of 270 men are unemployed. Which is clearly indicating trends of poverty and lack of resources, which leads vulnerability of community. Source: Study survey 2010 Respondents Number Percentage Men 270 75 Women 90 25 Total 360 100

17. Figure 5 shows that in the study area of both districts 15% of total respondents are unemployed. Due to massive losses in disasters people’s trends from traditional occupations (i.e. farming and fisheries) has been changed into labor. Moreover as they are unskilled so they are not getting according to their needs. Source: Study survey 2010

18. Figure 6 shows that, in stead of modern hospitals in the area, there are only few Basic health units with low standard equipments, which are also not in the access of the people because of the distance. About 45% of total BHUs are at the distance of 6 to 10 KM, in remote and poor infrastructural area utilizing this facility is impossible. Source: Study survey 2010

19. Source: Study survey 2010

20. Figure 8 shows that in selected villages of study schooling situation is alarming, only 9 percent people have the access to high schools. At primary and middle level there is no significant difference. Only 21% have the access to middle schools because government did not took any interest to educate this community. Source: Study survey 2010

22. Source: IFAD 2010. Spate Irrigation, Livelihood Improvement and. Adaptation to Climate Variability and Change

23. Figure 9 shows that vulnerability is related to level of preparedness for any disaster. Community are found less sustainable when they are poor to social and economic impact.

24. Figure 10 shows that, rate of disasters increased in last decade as compared to last 53 years. This is due to impacts of global climate change after 1990s in Pakistan. Source: Quarterly Journal of PDMA-PaRRSA, August 2010

25. Source: Global natural disaster occurrence and impact: 1980–2007.

27. Figure 12 shows that disaster has inverse relationship with income. i.e. low income fall under key target of disaster and its distraction scale.

28. Province/ State Deaths Injured Houses damaged Affected Population Baluchistan 45 98 79,720 312,774 KpK 1,070 1,056 262,713 3,820,173 Punjab 103 350 375,773 8,200,000 Sindh 72 680 879,978 2,269,849 AJ& K 69 83 6,843 245,000 Gilgit Baltistan 183 60 3,157 8,516 Total 1,542 2,327 1,608,184 11,581,875

29. Source: ADRC, Japan based on CRED EM-DAT database, Asia 88% Europe 1% America 3% Africa 8%

31. Source: Study survey 2010

32. Fig 16 shows that different type of disasters came in sindh province. From 1947 to 2010 most of these disasters, Flood and Cyclone are on top rank. These floods and cyclone damages life of millions people, socially and economically. Source: Provincial Disaster Management Authority (2008). DISASTER RISK MANAGEMENT PLAN SINDH PROVINCE

34. Fig 17 shows overall trend of rate of disaster occurrences in last decade throughout the country, the Sindh province faced increasing number of disasters from late last decade to till now. Moreover , increasing climate changes further put Southern region of country i.e. Sindh towards greater number of expected disasters due to its geological position. Source: Provincial Disaster Management Authority (2008). DISASTER RISK MANAGEMENT PLAN SINDH PROVINCE

35. Figure 18 shows that as compared to all other countries in South Asia, Pakistan bear most losses. However, the severity of any natural hazard is approximately same in whole South Asia, but Pakistan impacted most because of people’s vulnerability as well as because of mismanagement in disaster management. Source: Pakistan Institute of Development Economics. Islamabad, Pakistan. September 27, 2010

36. Source: World Bank (2010). Pakistan 2010 Floods Damage and Needs Assessment Province No. of Houses Damaged No. % Crop Area Damaged (000 ha) No. % Water Courses Damaged No. % Livestock Damaged 000 No. % AJK 6843 0.425 33.1 1.58 657 5.04 0.6 0.04 Baluchistan 79720 4.96 132.4 6.33 47 0.36 1176.3 77.17 FATA 5419 0.34 7.2 0.34 n/a 14.6 0.96 GB 3157 0.20 7.9 0.38 960 7.36 12.1 0.79 NWFP 257294 16 121.4 5.80 1790 13.72 140.2 9.20 Punjab 375773 23.37 746.8 35.69 2598 19.92 4.8 0.31 Sindh 879978 54.72 1043.5 49.87 6990 53.60 175.6 11.52 Total 1608184 100 2092.3 100 13.42 100 1524.2 100

37. From Fig 19 it is clear that most affected districts from different disasters in sindh province are Karachi, Badin and Thatta. These areas are mostly coastal areas, and among these Thatta and Badin are more vulnerable because of their socio-economic condition. Source: Provincial Disaster Management Authority (2008). DISASTER RISK MANAGEMENT PLAN SINDH PROVINCE

38. Table 3. shows the damages to target population in previous disasters from 1999 to 2010. Table shows extreme losses in life, property, livestock and assets and massive displacement has been occurred. Source: Study survey 2010 Damages Assessment of Study Area in Previous Disasters (Percentage) Life Displacement Property Livestock Assets Badin 11 52 41 42 24 Thatta 19 59 47 44 28

40. Above figure shows after disaster situation. Fig 20.1 shows overall support provided by different stakeholders to disasters victims. Only 6% of total respondents got support from different organizations including government. Rest of 94% did by their selves or by support of community or did not get any support. Which is alarming situation. Means this community can’t resist to any disaster in future. Source: Study survey 2010

41. Fig 19 Show that among 360 respondents only 21% got Disaster mitigation training like awareness, emergency response and 15.83% out of 360 got support in construction. With out any technical and financial support people repeated pre-disaster construction pattern which did not bring any change in their vulnerability against disasters. Source: Study survey 2010

43. As pressure release model shows that pressure from three progressions of vulnerability is increasing and from other side expected hazards are also increasing, therefore in the cohesion of hazard and vulnerability “ risk ” is increasing and hence put the whole population in exposure.

47. Thank You