RAPID FLOOD IMPACT ASSESSMENT REPORT March 2007

VAC

ZAMBIA Vulnerability Assessment Committee

BY

THE VULNERABILITY ASSESSMENT COMMITTEE (ZVAC) LUSAKA

Table of Contents Acknowledgements...... 4 Acronyms ...... 5

EXECUTIVE SUMMARY...... 6

1.0 INTRODUCTION...... 8 1.1. Background ...... 8 1.2 Overall Objective ...... 8 1.2.1. Specific ...... 8 1.3. Background on the Progression of the 2006/07 Rain Season...... 8 1.4. Limitations to the Assessment ...... 9

2.0 METHODOLOGY...... 9

3.0 FINDINGS...... 10 3.2 Health ...... 10 3.3 Impact on Water and Sanitation...... 10 3.4 Impact on Education...... 10 3.5 Impact on Infrastructure and Transport...... 10 3.6 Impact on Agriculture ...... 10

4.0 EFFECTS OF THE FLOODS ON DIFFERENT SECTORS ...... 11 4.1. Health, Water and Sanitation ...... 11 4.1.1 Prevalence of some common diseases...... 11 4.1.2 Water and Sanitation ...... 12 4.2 Education sector ...... 12 4.3 Human Settlement and Shelter...... 13 4.4 Infrastructure and transport...... 13 4.4.1 Roads, Bridges, Education and Health ...... 14 4.5 Agriculture and Commercial Activities...... 15 4.6 Food Access...... 16

5.0 CONCLUSIONS...... 18 5.1 Health, Water and Sanitation ...... 18 5.2. Education ...... 18 5.3 Infrastructure...... 18 5.4 Agriculture and Commercial Activities...... 18 5.5 Food Access...... 18

6.0 RECOMMENDATIONS...... 19 6.1 Health, Water and Sanitation ...... 19 6.2. Education ...... 19 6.3 Infrastructure...... 19 6.4 Agriculture and Commercial Activities...... 20 6.5 Food Access...... 20

7.0 ANNEXES...... 22 Annex 1: Table of Areas Visited / Teams Composition/ Editorial Team...... 22 Annex 2: Sample of Assessment Tools...... 23 Annex 3: Rainfall Maps ...... 24 Annex 4: Overview of District Status ...... 25 Annex 5: Affected Sectors Ranking...... 27

2 Annex 6: Health, Water and Sanitation Analysis Table...... 28 Annex 7: Education Sector Analysis Table...... 29 Annex 8: Flood Impact on Agricultural and Commercial Activities...... 30 Annex 9: Human Settlement and shelter Sector Data Analysis Sheet...... 31 Annex 10: List of Damaged Roads and Bridges of Strategic Importance ...... 32 Annex 11: Food Access Analysis Table...... 34 Annex 12: Food Needs Table ...... 35 Annex 13: Table showing Population in the affected wards of the assessed districts...... 37 Annex 14 Table of Assistance provided to Flood Victims so far...... 41 Annex 15: District Map Showing Impact of Floods in Zambia ...... 42 Annex 16: District maps showing sector specific impact ...... 43 Annex 19: Flood Impact on Livestock and Needs Analysis ...... 51 Annex 20: Needs Analysis of the Education Sector ...... 52 Annex 21: Needs Analysis for Water and Sanitation ...... 53 Annex 22: Maps showing affected wards in the assessed Districts...... 61

3 Acknowledgements

The Zambia Vulnerability Assessment Committee (ZVAC) wishes to thank the following for participating in the Rapid Assessment: • Disaster Management and Mitigation Unit (DMMU),Office of the Vice President • National Food and Nutrition Commission (NFNC) • World Food Programme (WFP) • Food and Agriculture Organization (FAO) • Zambia Relief and Development Foundation (ZRDF) • Lutheran World Federation (LWF) • Catholic Relief Services (CRS) • Natural Resources Development College (NRDC) • Health Management Team (LUDHMT) • Ministry of Home Affairs, Commission for Refugees • Central Statistical Office (CSO) • Ministry of Agriculture and Cooperatives (MACO) • Ministry of Local Government and Housing (MLGH) • Programme Against Malnutrition (PAM) • Department of Water Affairs • National Aids Council (NAC) • USAID • CARE • FEWSNET • United Nations Children and Emergency Fund (UNICEF) • NAPS

The Committee also wishes to thank all institutions that financially and logistically supported the exercise, DDMCs and the communities where the assessments were conducted.

4 Acronyms

CBPP Contagious Bovine Pleuro Pneumonia CRS Catholic Relief Services CSO Central Statistic Office DDMC District Disaster Management Committee DMMU Disaster Management and Mitigation Unit DWA Department of Water Affairs FAO Food and Agriculture Organization FSP Food Security Pack IMCI Integrated Management of Common Childhood Illnesses ITN Insecticide Treated Net LDHMT Lusaka District Health Management Team LWF Lutheran World Federation MACO Ministry of Agriculture and Cooperatives MET Meteorological Department MOE Ministry of Education NAC National AIDS Council NAPS National Association for the Prevention of Starvation NFNC National Food and Nutrition Commission NRDC Natural Resources Development College MT Metric Tons PAM Program Against Malnutrition SanPlat Sanitation Platform UNICEF United Nations International Children’s Emergency Fund USAID United States Agency for International Development WATSAN Water and Sanitation WFP World Food Program ZAWA Zambia Wildlife Authority ZDHS Zambia Demographic and Health Survey ZRDF Zambia Relief Development Foundation ZVAC Zambia Vulnerability Assessment Committee

5

EXECUTIVE SUMMARY

Following reports of floods from various districts countrywide, the Disaster Management and Mitigation Unit (DMMU) commissioned a Rapid Flood Impact Assessment in February 2007. The overall objective of the assessment was to determine the effects and extent of the floods on housing, infrastructure, health, food access, water and sanitation, education, crops and livestock in the affected districts. The DMMU constituted 12 teams, which visited 41 districts in all nine provinces from 21 st February to 5 th March 2007. The assessment was conducted with the support of the District Disaster Management Committees (DDMC) in the affected districts.

Although in general terms, the floods have had adverse impact on all the sectors considered in the assessment, infrastructure, water and sanitation were severely affected in most districts. The impact on infrastructure had an adverse multiplier effect on other sectors such as health, education and agriculture. Of the total flood affected population of 1,443,563 only an estimated 295,148 people require immediate food aid amounting to 7,084 MT of cereal for two months (March and April, 2007).

Findings indicate that no significant change of concern was observed in the prevalence rates of common diseases such as malaria, diarrhea and Acute Respiratory Infections (ARI) in almost all districts. From the 41 districts assessed, 29% reported high malaria prevalence rates while 32% reported high diarrhea prevalence rates. There was no change observed in ARIs. Availability of Insecticide Treated Nets (ITNs) and community level health campaigns were the main attributes for the low malaria prevalence. Despite the observed low rates of diarrhea prevalence, there is a high risk of water contamination due to faecal matter. The assessment established wide spread use of unprotected shallow wells which are the main water source for most households. Furthermore these shallow wells are at risk of being contaminated due to poor sanitatary facilities for human waste disposal.

The impact of floods on education in terms of attendance rates was mainly attributed to damaged infrastructure such as bridges, culverts, classroom blocks and toilets. The most affected districts reported 40 to 50% reduction in attendance. The rest of the visited districts reported insignificant change of attendance rates (60 to 100%). Learning processes were not disturbed by the floods as classes continued under alternative structures in almost all affected districts.

Infrastructure damage due to floods was mainly in the high rainfall areas of Northern and North- Western provinces and was mostly on community-managed infrastructure projects like community schools, bridges and culverts. Some roads have been rendered impassable due to flooding. Impact on health infrastructure was low in all assessed districts. Some mobile clinics have been suspended due to impassable roads.

Of the assessed districts, only 7 reported severe impact of flooding on the staple and cash crops with loses ranging between 75 and 100%. Most of the remaining districts reported low impact on these crops with percentage damage below 25%. Impact on livestock was generally low for all districts with 0-25% effect and no significant impact was observed on aquaculture.

In some areas the floods have also led to straying of wild animals that have caused damage to crops in Western and Eastern Provinces. Sesheke and Shangombo in Western Province and most Southern Province districts reported a prolonged dry spell of at least 3 weeks. Access to food was generally not significantly affected by the floods in almost all districts except for and Zambezi west banks in North-Western Province where over 75% of the affected population currently have no access to food, and are depending on food aid from Government. In most of Western and parts of Central provinces, districts have serious food shortages with only 25-50% of the affected populations accessing food.

6

Based on the findings, the assessment recommends continued community sensitization on the appropriate use of ITNs, sanitation and public health, supply of water treatment chemicals and scaling up of borehole drilling at community level including capacity building of the DDMCs. A total of 33 districts should be supplied with chlorine for water treatment for two (2) months. In addition 405 boreholes should be drilled in these same districts. Education infrastructure development, rehabilitation of damaged roads and bridges should be restored to ensure accessibility. A total of 2,832 tents to be provided to displaced populations in Chibombo, Kapiri Mposhi, , Mambwe, Chavuma, Mwinilunga, Zambezi and Kabompo districts.

In the medium to long term, Government and the private sector should focus on supporting diversification of crop production in response to changing climatic factors. About 12,050 households in 14 affected districts should be supported with inputs for winter cropping to supplement expected harvest from current production. Timely provision of appropriate inputs cannot be overemphasized. The team also recommends undertaking of detailed assessments on the impact of adverse weather conditions experienced during the 2006/07 rainy season. Targeted food assistance to populations in districts with less than 50% access to food is recommended for two (2) months.

7

1.0 INTRODUCTION

1.1. Background Following reports of floods received by DMMU, the Zambia Vulnerability Assessment Committee (ZVAC) constituted teams to determine the effects and extent of the floods on housing, infrastructure, health, water and sanitation, education, crops, livestock and food access in forty-one (41) districts. The teams covered selected districts, which were reported to have been affected in all the nine (9) provinces.

In South Luangwa National Park, floods have reportedly submerged and destroyed tourist facilities and infrastructure. This poses serious threats to wildlife survival and tourism. In addition, populations living near the game park are also at greater risk from displaced wild animals. Immediate rehabilitation of damaged roads once the water subsides will be required to reduce adverse impact on tourism. The Zambia Wildlife authority has already identified major roads requiring immediate attention and the rehabilitation road map (Details of ZAWA funding request for South Luangwa National Park can be obtained from DMMU)

1.2 Overall Objective The overall objective of the assessment was to determine the effects and extent of the floods on habitations, infrastructure, health, food access, water and sanitation, education, crops and livestock in forty-one districts.

1.2.1. Specific Objectives The specific objectives included the determination of the following: • The need for emergency food, water, shelter, medicine, and medical assistance; • The need for restoration of critical facilities, basic utilities and services; • District and overall population affected by floods

1.3. Background on the Progression of the 2006/07 Rain Season The 2006/07 rainy season has been characterized by late onset in most parts of the country. Generally, Southern, Central, Copperbelt, some parts of Northern and as well as Eastern Provinces experienced late onset (1-10 December 2006). However, Western, some parts of Northern, North-Western and Luapula Provinces experienced fairly early onset (10-20 November 2006). Suffice to mention that the 2006/07 rainy season has been characterized by heavy rainfall that has resulted into flash floods and water logging in valley and/or low lying areas respectively causing varying impacts on a number of sectors (Infrastructures, Agriculture, Education etc) (see Annex 5). The overall 2006/07 rain season has been progressing well in most districts as can be seen in annex 3. Most of the people in the provinces that experienced late onset of rainfall delayed in planting as the first rains which were experienced were not enough to support planting of most summer crops such as maize, sorghum, groundnuts etc (Figure 1). Figure 1: Onset of rains

Dekad Dekad

8 1.4. Limitations to the Assessment Limitations in the flood impact assessment exercise were mainly within two categories, logistical and structural.

Logistical  Failure to access and assess some of the affected areas due to logistical problems resulting from damaged infrastructure (roads and bridges).  Limited time to undertake the assessment due to the emergence nature of the task.

Structural  Difficulties in differentiating chronic problems (e.g. food insecurity) from the flood induced impacts. Assessment was conducted during the lean period when most households have limited food stocks.  Some district administrations not willing to support the rapid flood assessment on the pretext that several other assessments had been done and information had been transmitted to national authorities.  At community level, misinterpretation of the purposes of the rapid flood impact assessment in relation to the earlier assessments by DMMU (rapid food security assessment - December 2006) and the flood assessment by area Members of Parliament (conducted two weeks before the DMMU Flood Impact Assessment) in the constituencies. This led to some district and community leaders not willing to support the assessment.

2.0 METHODOLOGY

The assessment covered forty-one (41) districts in all the nine (9) provinces. (Refer to Annex 1 on areas visited/Team composition) The assessment was undertaken from 21 st February to 5th March, 2007.

The key entry points were the District Disaster Management Committees (DDMC).The assessment was done through a combination of secondary data analysis of the DDMC Flood Reports and key informants’ interviews at district and community levels using a developed Floods Impact Assessment instrument (Annex 2).

9 3.0 FINDINGS

3.1. Overview on impact of the floods

The impact of floods in all the affected areas was cross cutting affecting 1,443,583 people in the 41 districts of the nine provinces visited. The floods affected all sectors of the economy. (For sector specific impacts refer to Annex 16) . The affected wards in the assessed districts are indicated in Annex 13. The severity of the impact on areas within the districts was more to do with the terrain of specific areas. In this regard low-lying areas were most affected. Below is a discussion on sector specific impact of the floods.

3.2 Health Most assessed districts did not experience immediate adverse impact of the floods on health. However, the effects are expected to manifest when the water recede and stagnate. Some districts such as Mazabuka ( Flats) have already recorded an increase in malarial and diarrhoeal cases compared to last year during the same period. In view of the expected increase in disease incidences, there is need to put in place some epidemic preparedness measures in all the affected districts.

3.3 Impact on Water and Sanitation Floods posed a high risk of water contamination due to an increase in the number of pit- latrines that had collapsed as well as flooded unprotected shallow wells. The districts found to have high risk of water contamination were Chibombo, Kabwe, and Kapiri Mposhi in Central province, , and in Copper belt Province, Lukulu, Kaoma, Kalabo, Mongu, Senanga and Shang’ombo Western Province and Itezhi-tezhi and Namwala in Southern Province, Chavuma and Zambezi in North-Western province. The reasons for this high risk differed district to district as households in these areas access drinking water from shallow wells, springs and streams, which have high risk of contamination.

3.4 Impact on Education The education sector through out the assessed districts was affected negatively by the floods by way of damaged classroom blocks, staff houses and toilets. Notably was most affected among all the assessed districts where the education infrastructures were damaged, toilets had collapsed and children were unable to attend classes because most of the roads were impassable.

3.5 Impact on Infrastructure and Transport The effects of floods in , , Luwingu, Mungwi and in Northern Province, Mkushi and in Central Province, Mambwe in Eastern, Luangwa in , and Solwezi in North Western Province, were mainly felt on the infrastructure, which included habitations, roads, bridges, schools and health centres. The floods caused extensive damage on the roads and bridges in the districts rendering them impassable. The damaged infrastructure impacted negatively on the delivery of services such as health, agriculture and education in the affected districts. The habitations in these districts had collapsed due to the heavy rains and floods though the situation was exacerbated by the poor standards of the buildings affected.

3.6 Impact on Agriculture The impact of the floods on agriculture was more felt in Chama, and districts of Eastern Province, some parts of in , Chavuma, Mwinilunga and Zambezi in North-Western Province, Mpika and Mpulungu districts in Northern Provinces. This was because most of the crops in these areas were washed away and/or submerged.

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4.0 EFFECTS OF THE FLOODS ON DIFFERENT SECTORS

4.1. Health, Water and Sanitation

4.1.1 Prevalence of some common diseases Information on the prevalence of some common illnesses mainly malaria, diarrhea, acute respiratory infections and measles, was collected in all the 41 districts. Figure 3 shows the prevalence of the common illnesses.

Figure 3: PREVALENCE OF SOME COMMON ILLNESSES

35

30

25 Malaria

20 Diarrhoea 15 diseases ARI % of Districts of % 10

5 Measles 0

w te h h ge Lo ra ig hig n de H y ha o er C M V No Disease Prevalence

Malaria is endemic throughout Zambia and continues to be a major public health concern. It accounts for more than 37% of all out-patient attendance countrywide ( ZDHS 2001-2002 ).

From the 41 districts assessed, 29% reported a high prevalence rate of malaria in January and February 2007 compared to those that reported low (27%) and (24%) prevalence rates over the same period last year.

One possible explanation for the seemingly low prevalence rates of malaria, especially among children and women during the flood period in the districts assessed was due to Flooded rubbish Pits in Masaiti personal and community protective measures such as use of Insecticide Treated Nets (ITNs) at household level and other interventions such as Roll Back Malaria (RBM).

Exposure to diarrhea-causing agents is frequently related to use of contaminated water and unhygienic practices related to food preparation, hand washing and excreta disposal. Out of the total districts visited, 32% reported high diarrhea prevalence while 17% and 29% reported low and moderate rates respectively. Most of the districts (24%) reported either low rates or no change in the prevalence of Acute Respiratory Infections (ARI) compared to 22%, who reported high prevalence between January and February, 2007. The low prevalence rates for the common childhood illnesses was attributed to integrated public health interventions currently being implemented at district level through the Child health week and routine outreach activities.

11 4.1.2 Water and Sanitation Water quality and adequate sanitary facilities have a significant impact on the health status of populations. The most common water sources for domestic use in the 41 districts assessed are protected wells and boreholes, public taps, scoop holes, rivers and streams. According to the Zambia Demographic and Health Survey (ZDHS) of 2001-02, 53% of households in Zambia use traditional pit latrines out of which 55% are rural households. Unsafe water sources and poor sanitary facilities pose a greater risk of water contamination.

Toilets submerged at Lealui Village in Mongu Figure 4 : RISK OF WATER CONTAMINATION Figure 4 shows that the risk of water contamination, mostly from faecal matter is 6% generally high. This is because the floods have 14% led to the collapse and flooding of toilets and 45% water wells in these areas. It is important to note therefore that the floods pose a high risk of water contamination. 35%

Very High High Moderate Low A total of 80% of the 41 districts reported high to very high risk of water contamination. (Annex 6.) The reported high risk levels of water contamination was attributed to poor hygiene practices, indiscriminate excreta disposal methods practiced at household level and contamination of well water with surface runoff and flooded latrines.

4.2 Education sector

The impact of floods on the education sector varied district to district. Figure 5: Percentage of School Attendance As depicted in Figure 5, the school 14 13 attendance has reduced due to; 12 • Classrooms being partially and/or 10 completely damaged in the affected 8 8 8 8 areas. • Districts 6 Inability of school children to cross Number of Numberof 4 3 streams/rivers that have flooded and also 2 1 1 due collapsed culverts and bridges that 0 have rendered routes to schools 30 to 40 40 to 50 50 to 60 60 to 70 70 to 80 80 to 90 90 to 100 Percentage of School Attendance inaccessible • The toilets in the schools have collapsed making sanitation a major problem and leading to the closure of some schools

The impact of floods on education in terms of attendance was mainly attributed to damaged infrastructure such as bridges, culverts, classroom blocks and toilets. The most affected districts reported 40 to 50% reduction in attendance. The rest of the visited districts reported insignificant change of attendance rates (60 to 100%). Learning processes were not disturbed by the floods as classes continued under alternative structures in almost all affected districts ( Annex7 ).

12 The learning processes at the schools that have been damaged by the floods has not been significantly disturbed, because lessons have continued to be conducted in make shift structures and/or community centers. However, this kind of learning environment is not conducive.

A schoolteacher paddling to his home 4.3 Human Settlement and Shelter

Habitations Heavy rains and floods caused habitations to collapse and/or develop major cracks and/or had their roofs blown off. The majority of the habitations affected were found in Northern and North-Western provinces as shown in the figure 6. In many places the standard of the affected habitations was already poor due to poor workmanship and/or use of poor quality building materials such as pole and mud. In addition, most of the affected habitations were localised in areas prone to flooding such as the flood plains and riverbanks. submerged house in lealui village, Mongu

Figure 6: Habitations damaged by floods

Number of Habitations Damaged by floods 2007

3500

3000

2500

2000

1500

1000

500

0

a l n n a n lt n n l a r r k r e r r u tr e te a e B te te p n h s h s s a e s t rt r u e u u e e a L C o L o p E W S N p W o th C r o N

In rural areas, most of the people who lost their habitations as a result of the floods were absorbed or integrated within the communities. In isolated cases such as in Eastern Province and Kabompo in North-Western Province, the affected people found refuge in tents, churches or rural health and community centers. In urban areas such as Central and Copperbelt Provinces, affected people found refuge in unused structures such bars and taverns while in rural areas displaced people found refuge in cooking shelters (See Annex 9).

4.4 Infrastructure and transport

Floods experienced in the assessed districts have had significant negative impact on infrastructure in the affected areas. The infrastructure affected included habitations, roads, bridges, schools and health facilities.

13 4.4.1 Roads, Bridges, Education and Health In all the provinces, roads, bridges and schools were the most affected with North-Western, Northern and Central provinces being the worst affected. Most of the roads and bridges were not regularly maintained rendering them susceptible to damage by floods and heavy rains. Some bridges and roads particularly those constructed by the community were easily damaged due to poor workmanship and use of unsuitable materials such as poles. It was also observed that majority of the schools that were damaged were community schools built out of pole and mud. Apart from a few, most of the health infrastructure were not damaged and are functioning. The major problem is that some of them have been cut off from the district administrative centers thereby limiting their access to medical supplies and technical supervision. Some communities have equally been cut off from accessing services Furthermore mobile clinics in some areas have been suspended due to impassable roads. Additionally movement of patients to referral centers has been hampered by damaged roads and bridges which are likely to lead to increased mortality particularly maternal. Damaged Nalusheke Bridge, Lukulu-Mongu Road

Figure 7 Number of Infrastructureaffected by floods 2007

160

140

120

100

80 Roads Bridges 60 Schools Health Centers

40

20

0

ern h aka Belt tern apula entral s r Lu C Lu Eas Western Sout Northern Coppe North Western

14

4.5 Agriculture and Commercial Activities

Within the agricultural sector floods and water logging impacted adversely on staple crops in all assessed areas, followed by livestock, cash crops, aquaculture and wildlife ( Figure 8 ). It is worth noting that Zambezi and Chavuma districts were split into West and East banks for purposes the assessment.

Figure 8: Flood impact on Agric, Livestock and Aquaculture

45 43 40 39 35 33 STAPLE CROP 30 27 25 CASH CROP 20 LIVESTOCK 15 AQUACULTURE 10 WILDLIFE 5 2 0

Crop loss was mainly through rotting of root crops and leaching of fertilizers from the late- planted fields. Both staple food crops (maize, millet, sorghum and cassava) and cash crops such as rice, soya-beans and groundnuts were severely affected. However in some of these districts such as , the crop losses (cassava) were attributed to diseases such as the cassava mealybug and the cassava mosaic virus and not necessarily due to floods. The damages caused by the floods on roads and bridges also affected the delivery of agricultural inputs such as fertilizers, for instance in Mpulungu, where non-delivery of inputs affected the crops that were not flooded in the plateau area.

Losses in livestock were low as most of the animals were moved to the high lands when the flooding started. However the livestock is confined on limited grazing land leading to overgrazing and potential livestock disease outbreaks. Annex 19 gives the details of the impact of floods on livestock as well as the risk of disease outbreak. In thirteen (13) of the 41 affected districts, there is a high risk of disease outbreak of one or more of the following diseases; Contagious Bovine Pleural Pneumonia (CBPP), Hemorrhagic Septicaemia, Blackleg, Anthrax and Corridor disease.

The percentage loss in aquaculture was due to flooding of fish ponds resulting in fish moving into large water bodies. In the game management areas, animal-human conflicts are on the increase as wild animals have moved into the uplands in search of food and dry land, endangering the lives of the people living in these areas and also causing damage to crop fields. For percentage loss on different agricultural sectors refer to table 9.

Submerged maize field in Kawaya ward,

15

Figure 9: Percentage losses in agricultural activities .

IMPACT OF FLOODS ON AGRICULTURE SECTOR 0-25 % (leas t affected) 8 0 26-50 % (m oderately affected) 7 0 56-75 % (s everely affected)

6 0 76-100% (very s everely a ffe cte d ) 5 0 4 0

3 0

2 0

% o f D istricts 1 0

0 STAPLE CROP CASH CROP LIVESTOCK AQUACULTURE WILDLIFE

4.6 Food Access

In most of the affected districts, at least 50% of the population currently has access to food either through own stocks, purchases or barter. The concern is for those areas with 50% or less of affected population accessing food.

Figure 10: Percentage of Affected Population with access to Food

16

14

12

10

8

6

Number of Districts 4

2

0 0-25% 25-50% 50-75% 75-100%

Of the forty-one(41) districts assessed, only Chavuma and Zambezi West Bank areas currently have very serious food access problems (<25% managing to access food without assistance as shown in Figure 10). At the time of the assessment, the major source of food for the affected population was relief food from Government. The west bank has been cut off from the east bank, which is the major source of staple food.

Most people in the affected districts of Northern and North Western Provinces had access their main staple (Cassava) which was prematurely harvested. This however may have a long term effect on the overall food security. Areas with relatively serious food access problems (25-50% of affected population) are in districts of Western Province except for Sesheke and Shang’ombo, which did not experience any floods. Others include valley areas of Mkushi

16 (Luano), Serenje, Luangwa, Nyimba, Mambwe, Lundazi, Mwinilunga (Kanongeshya Ward), Kabompo and Mambwe districts.

Food Needs Out of the forty-one (41) assessed districts, only seventeen (17) districts were found to be in need of food. The most affected districts include all of Western Province districts except Sesheke and Shangombo, the valley areas of Eastern province, parts of Central, North- Western and in Lusaka province. Annex 12 shows the eligible populations by district and ward as well as the actual food needs. This constitutes an estimated population of 295,148 in need of approximately 7,084MT of cereal. This food is required for a period of two months beginning March 2007. Any food needs relating to the 2007/2008 consumption period will be determined by the outcome of an in-depth Food Security Assessment to be conducted in May 2007. Note that the rainy season is still on and the above requirements are only for the pre-harvest period.

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5.0 CONCLUSIONS

5.1 Health, Water and Sanitation

Overall, there has been little or no negative impact of floods on public health, though the loss of WATSAN services is evident. The disease prevalence observed from the assessed districts is not peculiar to the flood situation. The low prevalence rates reported by the districts are attributed to various integrated health interventions currently being implemented at district level by the Ministry of health and other partners. These include the roll back malaria programme, integrated management of common childhood illnesses (IMCI) and bi-annual Child health week. However public health concerns especially water borne diseases and malaria incidences are likely to increase as the floodwaters in the affected areas recede and stagnate.

5.2. Education

The impact of floods on education was more on the buildings (class rooms, staff houses and toilets). Furthermore there was increased inaccessibility to schools due to damaged bridges and roads. However attendance rates were not severely affected by damaged school infrastructure as learning continued to be done temporarily from shelters such as churches etc.

5.3 Infrastructure

It was observed that most of the infrastructure that had collapsed were due to poor workmanship and/or were made of mad and pole. The teams observed that the infrastructure (roads, bridges, schools, health and other) in all the provinces were affected by the impact of the floods. This has impacted negatively on the delivery of services for various sectors such as health, Agriculture, food access, education and other economic activities. Therefore, there is agent need to rehabilitate, and/ or construct key infrastructure to improve on service delivery for the benefit of the people.

5.4 Agriculture and Commercial Activities

The assessment indicated that the highest impact of heavy rainfall and floods was on crops followed by livestock, aquaculture and the least affected was wildlife. This has an implication on the next consumption season as the affected population will have low crop or no crop to harvest. Therefore the affected population with crop losses of between 50 to 100% and have access to wetlands will need to be assisted with winter cropping inputs to recover from their losses.

5.5 Food Access

For those areas with more than 50% of the population currently accessing food, the situation cannot be considered serious as this situation is mostly attributed to the annual lean period when households normally have low food supply even in normal seasons.

Most of these districts that are near water bodies have predominately-fishing households, hence crop production is a secondary livelihood. Their main means of acquiring food is either through exchange or purchase. Others still have some food

18 stocks from last year’s harvest. In addition this population is also accessing some green foods even in areas where the fields are waterlogged.

6.0 RECOMMENDATIONS

6.1 Health, Water and Sanitation

Short term • Supply clorin for treatment of domestic water to thirty three (33) districts. ( Annex 17 ). The estimated quantity for the affected population is 600,000 x 250ml bottles of clorin and 340 x 50kg of HTH (granular clorin) per month for 2 months . • District health offices need to strengthen community sensitization programmes on public health and hygiene. • DDMCs in liaison with district health offices need to ensure availability of adequate essential emergency drug supplies in case of epidemics. • Supply and use of anti malaria drugs and use of ITNs to protect the community from malaria.

Medium to Long term • Scaling up drilling of 405 boreholes to ensure access to safe drinking water. Note that the standard population per water point is 250 persons per water point. Furthermore the population that needs boreholes has been estimated at 10% of the affected . (Annex 17) • Promotion of construction of 17,000 of adequate sanitary facilities e.g. improved ordinary latrines (SanPlat latrines)(Annex 17). This number is based on 10 households per latrine considering that this is an emergency.

6.2. Education

Short term • Rehabilitation and maintenance to be done to 296 school structures ( Annex 20) • Appropriate latrines to be built to standard • Bore holes to be drilled at every school to provide safe water

Medium to Long Term • Build more schools so as to ensure easy accessibility by pupils • The Ministry of Education (MoE) needs to upgrade community schools and their infrastructure. • The MoE should embark on regular maintenance and development of school infrastructure.

6.3 Infrastructure

Short term • Provision of 2,832 tents for the homeless in Central Province (Chibombo, Kapiri- Mposhi and Kabwe), Eastern Province (Mambwe) and North Western Province (Chavuma, Mwinilunga, Zambezi & Kabompo Districts) Annex 9. • Repair and rehabilitate damaged strategic roads and bridges of economic importance such as major roads within South Luangwa National Park with durable materials (Annex 10). • Repair of Watopa pontoon (Connects Kabompo to Lukulu)

19 Medium to Long Term • Regular maintenance of roads, bridges, pontoons and all public infrastructure • Government to provide technical and financial support for construction of quality durable infrastructure (roads bridges, housing, clinics and schools). • Construction of culverts and permanent bridges in areas where temporal bridges are. • Repair and/or provide pontoons where they have broken down. • There is need to do an in depth assessment of the damaged roads, bridges, schools and clinics in all areas affected by the floods to come up with the actual figures of the damaged infrastructure and costing for decision making by Government. • Canal dredging to be undertaken in the flood plain areas of the Zambezi West Bank in the North Western and Western Provinces.

6.4 Agriculture and Commercial Activities

Short term • Provide food security pack for winter cropping to 12,050 Households ( Annex 18 for details) • Provide veterinary drugs to 690,000 animals at risk (see Annex 19) • ZAWA to control straying wild life. • Timely crop monitoring and forecast • Timely provision of agricultural inputs, e.g. early maturing varieties • Extension services to include appropriate Dambo utilisation interventions

Medium to long term • In-depth impact assessment on crops • Crop diversification in upland areas

6.5 Food Access

General recommendations and observations • Targeted food relief should be provided for affected population in areas with less than 50% access to food. The food should be supplied for two months with effect from March, 2007. • For the rest of the affected districts, food assistance is not an immediate need as they should be able to cope. • More in-depth assessment of the food security situation will be required in selected districts to determine food access situation for the 2007/08 consumption season • A total population of 295,148 will require food assistance amounting to 7,084 MT for a period of two months with effect from March 2007. • The estimated total population of the people affected by floods stands at 1,443,583 residing in 41 districts of the nine provinces. These people have been affected by way of loss of crops and houses, constrained access to social amenity centers such as schools and clinics. This number also includes the people who are exposed to the risk of outbreak of water borne diseases. • Although all the 41 districts have been classified as severely affected in one way or the other, this severity differs in terms of spread and intensity and is localized to specific wards of a given district.

20

General Recommendations

• The most affected sector requiring immediate intervention is infrastructure (roads and bridges). Meanwhile information from Roads Development Agency (RDA) indicates that meaningful road or bridge works can only be done after the end of rain season.

• Extensive damage to roads and bridges in the affected districts was as a result of lack of maintenance and poor workmanship. Floods only exacerbated these long standing problems.

• In the case of houses most of those that collapsed were mainly as a result of poor workmanship and/or built out mad and pole.

• Problems of water and sanitation in urban districts such as Luanshya, Kabwe and Solwezi are directly linked to drainage and unplanned settlements.

• There was evidence of respondents deliberately exaggerating figures of affected population and linking these figures to food relief even where floods had more devastation in other sectors.

• In- depth vulnerability and needs assessment should be conducted in May (after the 2007 harvest) to determine the effects of the floods and prolonged dry spells on this years crop yield.

• There is urgent need to provide logistical support for water and land transport to facilitate the delivery of relief supplies.

21

7.0 ANNEXES :

Annex 1: Table of Areas Visited / Teams Composition/ Editorial Team

TEAM PROVINCE NO. OF DISTRICTS TEAM COMPOSITION

1 Northwestern Kabompo, Chavuma, Zambezi Team leader: Mr. Evans Kapekele - DMMU

Team members: Mr. Alfred Daka – WFP Mr. Gift Himunya- CSO 2 Northwestern Solwezi, Kasempa, Mwinilunga Team Leader: Mr. Lyson Mbewe – ZRDF Team Members Ms Mari Siyamba-NFNC Luapula Samfya, , Kawambwa, Team leader: Mr. Kebby Mutale - WFP 3 Team members: Ms Sandie Sikazwe – CARE Mr. M. Muteteka – NA

4 Eastern/Lusaka Province Luangwa, Nyimba, Chama, Team Leader: Mr. Meetwell Cheelo - LDHMT Lundazi, Mambwe, Team Members: Mr. Raymond Chipoma – UNICEF Mr. Mercy Mbewe - ZRDF 5 Southern/Lusaka Kafue, Mazabuka, Namwala, Team Leader: Ms. Chansa Mushinge - FEWSNET Itezhi-tezhi Team Members: Mr. Phil German - USAID Mr. Emmanuel Ngulube- USAID 6 Northern Mpulungu, Mpika, Chinsali Team Leader: Mr. Ronald Msoni - PAM Mungwi, Team Members: Mr. Glen Shaw – UNICEF Ms. Patricia Sakala – NFNC 7 Central Chibombo, Kabwe, Kapiri Team Leader: Pauline Inambao – NRDC Mposhi, Mkushi, Serenje Team Members: Mr. Oscar Silembo – DWA Mr. M. Kaima – Commission for Refugees

8 Western Mongu, Kalabo, Senanga Team Leader: Mr. Sibajane Munkombwe - LWF Team Members: Mr. Victor Bupe – MET Mr. Steven Chikwanda – MACO 9 Western Kaoma, Lukulu Team Leader: Esnart Makwakwa - DMMU Team Members Vincent Mungalu NAPS 10 Western Sesheke, Shang’ombo, Team Leader: Mr. Bwendo Kabanda - CRS Team Members: John Service Ms Brenda Kambaila – CARE 11 Copperblet Luanshya. Masaiti, Mpongwe Team Leader: Mr. Isaac Sichivula - NRDC Team Members: Mr. Linos Musimbwe – FAO Mr. James Simasiku – UNICEF 12 Northern ,Luwingu,Isoka Team Leader:Mr Besa Muwele-CSO Team Member:Stanley Nyendwa-CSO

Editorial Team Name and Organisation Name and Organisation Chansa Mushinge - FEWSNET Ronald Msoni – PAM Yande Mwape – DMMU Pauline T. Inambao – NRDC Evans Kapekele – DMMU Bwendo Kabanda – CRS Patricia Sakala – NFNC Isaac Sichivula – NRDC Sibajane Munkombwe – LWF Besa Muwelani – CSO Lyson Mbewe – ZRDF Dominiciano Mulenga - DMMU Allan Mulando -WFP Meetwell Cheelo – LDHMT Anderson Banda- DMMU Esnart Mukwakwa - DMMU Aaron Phiri - CSO Kebby Mutale – WFP

22 Annex 2: Sample of Assessment Tools . Office of the Vice President Republic of Zambia Disaster Management & Mitigation Unit DMMU Flood Multisectoral Disaster Impact Assessment Lusaka VULNERABILITY ASSESSMENT COMMITTEE Form Ref: DMMUFLOOD-01 Version 1.0/February 2007 O. IDENTIFICATION O.1 LOCATIONS O.2 DATE O.3 RESPONDENTS PROVINCE O.4 OTHER AREAS VISITED DISTRICT WARD O.5 STAFF WHO FILLED THIS FORM A IMPACTS ON HUMAN LIVES A.1 DEATHS A.2 MISSING MALE FEMALE MALE FEMALE ADULTS ADULTS CHILDREN CHILDREN A.3 NUMBER OF PEOPLE WITHOUT SHELTER A.4 MAJOR DISEASES DETECTED MALE FEMALE CASES PRIOR TO FLOOD CASES AFTER FLOOD ADULTS CHILDREN ADULTS CHILDREN MALARIA DISPLACED DIARRHEA HOMELESS ARI MEASLES B. IMPACTS ON HOUSING, TRANSPORT AND COMMUNICATION B.1 HOUSING & PUBLIC BUILDINGS B.2 TELECOMMUNICATIONS Roof Under- Partially Destroyed Functioning Partially Not Missing water damaged functioning Functioning Habitations Landline telephone Community Center Radio communications Schools Cellular telephone Health Care Centers Radio Stations Gov Offices Other Others B.3 TRANSPORTATION Accessible Partially Accessible Not Accessible Main Road from/to district center Railway Bridges Airports / Airfields Others (Specify) C. IMPACTS ON WATSAN AND HEALTH INFRASTRUCTURE C.1 WATSAN C.1.A DRINKING WATER 75-100% 50-75% 25-50% 0-25% Population with access to safe drinking water C.1.B RISK OF WATER CONTAMINATION Low Medium High Very High Faecal Pesticides C.2 HEALTH HEALTH SERVICES Functioning Partially Functioning on the verge of Closing Health Posts (number) Rural Healthcare centres (number) Hospitals (number)

HEALTH SUPPLIES AND PERSONNEL No Change Low None Availability of health supplies Availability of healthcare personnel D. IMPACTS ON EDUCATION D.1 SCHOOL INFRASTRUCTURE AND ATTENDANCE D.1.A Functioning Partially Functioning Closed D.1.B Primary Secondary Schools Children out of Schoo(%) E. IMPACTS ON AGRICULTURE & COMMERCIAL ACTIVITIES Percentage losses 75-100% 50-75% 25-50% 0-25% Staple crop fields Cash crop fields Livestock: Cattle Livestock: Goat Livestock: Pig Poultry Aquaculture Mills, storage and preservation Current food access of affected population

23 Annex 3: Rainfall Maps

Cumulative Rainfall Departure from the 30 year Normal - December 2006 Cumulative Rainfall Map - December 2006 Dekad 3

ChiengiKaputa # Mpulungu Kaputa Mpulungu Nchelenge Mbala Kawambwa Nakonde Kawambwa Mporokoso Mungwi # # Isoka # Mungwi Isoka Mwense Luwingu Kasama Luwingu Kasama Rainfall (mm) Mwense 140 - 260 # Chinsali Chama Chilubi Chinsali Mansa Mansa Chama 261 - 380 Departure (%) Samfya Samfya 381 - 500 # -53 - -29 # Milenge 501 - 620 Mwinilunga Mpika Mwinilunga Mpika # -28 - -5 621 - 740 Chililabombwe Solwezi Chililabombwe Solwezi -4 - 19 Chingola# Lundazi Lundazi Kitwe Kitwe Lufwanyama Lufwanyama 20 - 43 Ndola Ndola# # 44 - 68 Chavuma Kabompo Serenje Chavuma # Masaiti Mambwe Kabompo Serenje Mambwe Masaiti Zambezi Mpongwe Chipata Zambezi# Mpongwe Chipata# Kasempa Katete Mufumbwe Kasempa Katete Mkushi Petauke Mkushi Petauke Chadiza Kapiri Mposhi Lukulu Kapiri Mposhi # Kabwe Nyimba Lukulu # Kabwe Nyimba Kaoma Mumbwa Chibombo Kaoma# Kalabo Mumbwa Mongu # Chibombo Data Source: Zambia Meteorological Lusaka Data Source: Zambia Meteorological Kalabo #Mongu Department. Luangwa Lusaka# Chongwe Kafue Department # # Luangwa Kafue Itezhi-tezhi Namwala Mazabuka Namwala Desktop Mapping and Senanga Monze Itezhi-tezhi Destop Mapping and Production done Mazabuka Production by ZVAC. Siavonga Senanga # by ZVAC. Monze Shang'ombo Sesheke Gwembe Siavonga Choma Sesheke Date: 10/03/07 Kazungula Date: 10/03/07 Shang'ombo ChomaGwembe Kalomo # Kazungula Sinazongwe Kalomo Note: Below Normal = <-20% Livingstone # Sinazongwe N N Normal = -20 to 20% Livingstone# Above Normal = >20%

Cumulative Rainfall Departure from the 30 year Normal - January 2007 Cumulative Rainfall Map - January 2007 Dekad3 ChiengiKaputa ChiengiKaputa Mpulungu Mpulungu Mbala Nchelenge Mbala Nchelenge Nakonde Nakonde Kawambwa Mporokoso Kawambwa Mporokoso Mungwi Isoka Mungwi Isoka Kasama Luwingu Kasama Mwense Luwingu Mwense

Chilubi Chinsali Chilubi Chinsali Mansa Chama Mansa Chama Departure (%) Rainfall (mm) Samfya Samfya -21 - -1 416 - 575 Milenge Mpika Milenge Mwinilunga Mwinilunga Mpika 0 - 19 576 - 734 Solwezi Chililabombwe Chililabombwe Chingola Solwezi 735 - 893 Lundazi 20 - 39 Chingola Lundazi Kitwe Kitwe 894 - 1052 Lufwanyama 40 - 59 Lufwanyama Ndola Ndola Chavuma Kabompo Serenje 1053 - 1211 Masaiti Mambwe 60 - 80 Chavuma Kabompo Serenje Mambwe Zambezi Mpongwe Chipata Masaiti Zambezi Mpongwe Chipata Mufumbwe Kasempa Katete Mufumbwe Kasempa Katete Mkushi Petauke Chadiza Kapiri Mposhi Mkushi Petauke Chadiza Lukulu Kabwe Nyimba Kapiri Mposhi Lukulu Kabwe Nyimba Kaoma Mumbwa Chibombo Kaoma Kalabo Mongu Mumbwa Chibombo Lusaka Chongwe Data Source: Zambia Meteorological Kalabo Mongu Data Source: Zambia Meteorological Luangwa Department. LusakaChongwe Department. Namwala Kafue Luangwa Itezhi-tezhi Mazabuka Namwala Kafue Senanga Monze Desktop Mapping and Itezhi-tezhi Mazabuka Desktop Mapping and Siavonga Senanga Production by ZVAC. Monze Production by ZVAC. Sesheke Siavonga Shang'ombo ChomaGwembe Sesheke Kazungula Shang'ombo ChomaGwembe Date: 10/03/07 Kalomo Date: 10/03/07 Kazungula Sinazongwe Kalomo Note: N Sinazongwe Livingstone Below Normal = <-20% N Normal = -20 to 20% Livingstone Above Normal = >20%

`

Cumulative Rainfall Departure from the 30 year Normal - February 2007 Cumulative Rainfall Map - February 2007 Dekad3

Chiengi Kaputa ChiengiKaputa Mpulungu Mbala Mpulungu Nchelenge Mbala Nakonde Nchelenge Kawambwa Mporokoso Nakonde Kawambwa Mporokoso Mungwi Isoka Mungwi Isoka Mwense Luwingu Kasama Mwense Luwingu Kasama Chilubi Chinsali Mansa Chama Chilubi Chinsali Departure (%) Rainfall (mm) Mansa Chama Samfya -26 - -6 500 - 690 Samfya Milenge -5 - 14 Mwinilunga Mpika 691 - 880 Milenge Chililabombwe Mpika Solwezi 881 - 1070 Mwinilunga 15 - 35 Chingola Chililabombwe Lundazi Solwezi 36 - 55 Kitwe 1071 - 1260 Lufwanyama Chingola Lundazi Ndola Kitwe 56 - 76 1261 - 1450 Lufwanyama Chavuma Kabompo Serenje Mambwe Ndola Masaiti Zambezi Mpongwe Chipata Chavuma Kabompo Serenje Mambwe Masaiti Mufumbwe Kasempa Katete Zambezi Mpongwe Chipata Mkushi Petauke Chadiza Mufumbwe Kasempa Katete Kapiri Mposhi Lukulu Nyimba Mkushi Petauke Chadiza Kabwe Kapiri Mposhi Lukulu Kaoma Kabwe Nyimba Mumbwa Data Source: Zambia Meteorological Kalabo Chibombo Kaoma Mongu Lusaka Data Source: Zambia Meteorological Mumbwa Department. Chongwe Chibombo Luangwa Department. Kalabo Mongu Kafue Lusaka Chongwe Namwala Desktop Mapping and Itezhi-tezhi Mazabuka Luangwa Senanga Desktop Mapping and Namwala Kafue Production by ZVAC. Monze Itezhi-tezhi Mazabuka Siavonga Production by ZVAC. Senanga Sesheke Monze Date: 10/03/07 Shang'ombo ChomaGwembe Siavonga Date: 10/03/07 Sesheke Kazungula Shang'ombo ChomaGwembe Note: Kalomo Sinazongwe Kazungula Below Normal = <-20% Kalomo N N Normal = -20 to 20% Livingstone Sinazongwe Above Normal = >20% Livingstone

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Annex 4: Overview of District Status TOTAL PROVINCE DISTRICT NO. NO. OF AFFECTED NO. OF WARDS GENERAL OF WARDS WARDS VISITED COMMENTS

Chibombo 20 5 3

Kabwe 25 8 3 1Worst affected- Unplanned settlement

Kapiri Mposhi 12 9 3 1Worst affected- Unplanned settlement Central Mkushi 15 5 2

Mumbwa 22 2 3

Serenje 20 10 3

Luanshya 25 5 3 3 Worst Affected - Peri-urban

Copperbelt Masaiti 14 4 3 3 Worst Affected - Near rivers

Mpongwe 11 5 3 3 Worst Affected - in the Dambos / Plains

Chama 22 17 3 3 visited -High water levels

Lundazi 26 4 2 2 visited-Poor road network Eastern Mambwe 12 10 3 3 visited-High water levels

Nyimba 13 5 2 2 visited-Poor road network

Kawambwa 20 2 3

Luapula Mwense 20 4 3

Samfya 20 7 3

Kafue 9 2 1 Lusaka Luangwa 15 5 3 The water has receded

Chinsali 22 6 1 No Emergency observed

Isoka 17 8 2

Luwingu 22 8 3

Northern Kaputa 22 12 3 Water and Sanitation situation critical

Mungwi 12 4 1

Mpika 22 6 2 Need for aerial survey

Mpulungu 13 5 3 Road infrastructure is North Western Chavuma 12 8 4 Worst in terms of food security and health

Kabompo 20 3 3 Affected wards along the river banks

Kasempa 20 3 3 Water logging and poor road network Mwinilunga 20 4 3 Water logging

Solwezi 15 2 3 Unplanned settlements

Zambezi 15 5 4 All affected wards are on the West bank

Lukulu 20 12 3 Accessible with difficulty using water transport

Kaoma 22 6 2

Kalabo 25 16 3 Rice fields submerged - food security risk

Western Mongu 25 9 3 Rice fields submerged - food security risk

Senanga 15 9 3

Sesheke 20 3 1 District Administration did not allow visit.

Shangombo 12 2 3 Crop in the field is doing well.

Itezhi-tezhi 12 2 2 Accessible by water

Southern Mazabuka 5 2 2

Namwala 12 4 3

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Annex 5: Affected Sectors Ranking 3.0. MOST AFFECTED SECTORS (In order of priority on a scale of 1 to 6 with a minimum of 3 sectors) PROVINCE DISTRICT INFRASTRUCTURE HEALTH WATSAN EDUCATION AGRI CULTURE COMMENTS Roads and Bridges LIVESTOCK CROPS Chibombo 2 1 3 Central Kabwe 2 4 1 3 No Drainage in the City Kapiri Mposhi 2 1 4 3 DMMU making arrangements to assess Shamputa area

Mkushi 1 3 2

Mumbwa 1 4 3 2 5 Serenje 2 3 1 Luanshya 3 5 1 2 6 4 Faecal contamination of water Copperbelt Masaiti 3 5 1 2 6 4 Faecal contamination of water Mpongwe 3 5 1 2 6 4 Faecal contamination of water Chama 4 5 3 2 1 Eastern Lundazi 3 2 1

Mambwe 1 6 4 3 5 2 Nyimba 2 4 3 1 Kawambwa 2 3 1 Luapula Mwense 3 4 1 2 Samfya 3 4 2 1 Cassava fields flooded

Lusaka Kafue 3 2 1 5 6 4 Luangwa 1 4 3 2 Chinsali 1 5 3 4 6 2 Isoka 1 4 3 5 6 2 Northern Luwingu 1 5 3 4 6 2

Kaputa 2 3 1 5 6 4 Mungwi 1 5 2 4 6 3

Mpika 1 4 5 3 6 2 Mpulungu 1 5 3 4 6 2 Chavuma 2 6 3 5 4 1 Kabompo 2 5 3 1 6 4 North Western Kasempa 1 5 4 2 6 3 Mwinilunga 2 4 3 5 6 1

Solwezi 1 5 4 3 6 2 Zambezi 2 6 3 5 4 1 Lukulu 5 4 1 3 6 2 Kaoma 3 4 1 2 6 5 No drainage system in town Western Kalabo 3 4 1 5 6 2 Mongu-Kalabo Rd submerged

Mongu 5 3 1 4 6 2 Senanga 5 3 1 4 6 2

Sesheke 2 5 4 6 3 1 Shangombo 2 5 1 6 4 3 Itezhi-tezhi 3 2 1 5 6 4 Southern Mazabuka 3 1 2 4 6 5 Water logging problem Namwala 3 2 1 5 6 4 27

Annex 6: Health, Water and Sanitation Analysis Table WATER PROVINCE DISTRICT MALARIA DIARRHEA ARIs MEASLES CONTAMINATION COMMENTS Scale: 0 = no change 1= low, 2= moderate 3 = high 4 = very high Chibombo 1 3 1 0 4 Central Kabwe 0 3 0 0 3 Kapiri Mposhi 2 2 0 0 4 Mkushi 1 2 1 0 3

Mumbwa 3 3 3 0 1 Serenje 1 2 1 0 4

Copperbelt Luanshya 4 0 3 0 1 Masaiti 3 0 3 0 4 Mpongwe 3 3 3 0 4 Chama 3 3 2 0 3 Eastern Lundazi 1 1 1 0 2

Mambwe 2 2 1 0 3 Nyimba 1 1 1 0 2 Luapula Kawambwa 1 2 2 0 1 Mwense 2 2 1 0 1 Samfya 0 1 0 0 4 Lusaka Kafue 1 1 0 0 3 Luangwa 2 2 1 0 2 Chinsali 2 4 0 0 4 Isoka 2 3 0 0 3 Northern Luwingu 3 3 0 0 4

Kaputa 4 4 0 0 4 Mungwi 3 3 3 0 3

Mpika 0 0 0 0 3 Mpulungu 2 2 2 0 3 Chavuma 3 3 3 0 3 Kabompo 3 3 2 0 3 North Western Kasempa 1 1 1 0 1 Mwinilunga 1 1 1 0 3 Solwezi 0 0 0 0 2

Zambezi 3 3 3 0 3 Lukulu 3 3 3 0 4

Western Kaoma 3 3 3 0 3 Kalabo 2 2 0 0 3 Mongu 2 2 0 0 3

Senanga 2 2 0 0 4 Sesheke 1 1 1 0 2 Shangombo 3 3 0 0 1 Itezhi-tezhi 1 0 0 0 3 Southern Mazabuka 0 0 0 0 2

Namwala 0 0 0 0 3

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Annex 7: Education Sector Analysis Table PROVINCE DISTRICT TOTAL NO. OF NO. OF AFFECTED NO. OF AFFECTED NO. OF AFFECTED PERCENTAGE GENERAL SCHOOLS SCHS. FULLY SCHS. PARTIALLY SCHS. NOT OF SCHOOL COMMENTS IN DISTRICT FUNCTIONING FUNCTIONING FUNCTIONING ATTENDANCE

Central Chibombo 119 119 0 0 50 Kabwe 42 42 0 0 95 Kapiri Mposhi 103 95 1 7 - Mkushi 84 81 0 3 90 Mumbwa - 9 2 0 80 Serenje 86 83 0 0 -

Copperbelt Luanshya 39 39 0 0 98 Masaiti 80 75 3 2 85 Mpongwe 71 66 5 0 60 Low attendance due to inaccessibility

Eastern Chama 64 - 11 - - Remaining schools were not accessible Lundazi 139 128 11 0 90 Mambwe 14 14 0 0 70 Nyimba 41 39 2 0 70 Kawambwa - - - 1 - The Closed Sch. is a Community Sch Luapula Mwense - - - - - Samfya - - 2 1 - Mungulube Community Sch. Destroyed Lusaka Kafue - - - - 100 Luangwa 19 19 0 0 90 Chilubi The District was not assessed Northern Chinsali 102 92 10 0 80 Isoka - - - - 100 Luwingu - - - - 100

Kaputa - - - - 100 All Schs. are reported functioning

Mungwi 125 125 0 0 75 All Schs. are reported functioning Mpika - 2 14 2 60 Mpulungu 35 29 4 2 70 Chavuma 44 28 16 0 70 North Kabompo 100 46 50 4 48 Closed Schs. due to poor sanitation Western Kasempa 69 0 0 1 70 The closed Sch. is a Community Schs. Mwinilunga 124 124 0 0 85 Solwezi 166 163 0 3 75 The closed Schs. are Community Schs.

Zambezi 68 38 30 0 95 Lukulu - 15 8 1 75 Western Kaoma - 2 85 Kalabo - 6 8 1 70 Closed Schools due to poor sanitation

Mongu - 6 0 1 70 Lealui Basic has been closed

Senanga - 2 2 1 65 Nalalo Schoo has been closed

Sesheke 85 85 0 0 100 All Schools are functional Shangombo - - - - 100 All Schools are functional Itezhi-tezhi - - - - 100 All Schools are functional Southern Mazabuka - - 1 - 90 Only 1 Community Sch. is affected

Namwala - - - - 100 All Schools are functional

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Annex 8: Flood Impact on Agricultural and Commercial Activities PROVINCE DISTRICT P E C E N T A G E L O S E S STAPLE CASH AQUA WILDLIFE GENERAL CROP CROP CULTURE COMMENTS Chibombo 0-25 0-25 - Kabwe 0-25 - - No information available Central Kapiri Mposhi 25-50 25-50 0-25 Mkushi 25-50 25-50 0-25 Mumbwa 0-25 0-25 0-25

Serenje 25-50 - 0-25 Copperbelt Luanshya 25-50 25-50 0-25 Masaiti 25-50 - 25-50 Mpongwe 25-50 - - Chama 50-75 50-75 0-25 0-25 Eastern Lundazi 25-50 25-50 0-25 Mambwe 0-25 0-25 0-25 Nyimba - - - - Luapula Kawambwa 0-25 - 0-25 - Losses attributed to crop diseases Mwense 0-25 - 0-25 0-25 Samfya 50-75 - - - Cassava and Rice Lusaka Kafue 0-25 0-25 - Luangwa 50-75 50-75 - - Chinsali 0-25 - - - Northern Isoka 75-100 50-75 0-25 - Luwingu 75-100 75-100 0-25

Kaputa 75-100 75-100 0-25 Mungwi 0-25 0-25 0-25 - Mpika 50-75 25-50 - - Mpulungu 50-75 25-50 50-75 - Chavuma East 50-75 50-75 - North Chavuma West 75-100 75-100 - Western Kabompo 0-25 0-25 -

Kasempa 50-75 50-75 50-75 Mwinilunga 50-75 50-75 25-50 Solwezi 50-75 25-50 0-25 Zambezi West 75-100 75-100 - Zambezi East 0-25 0-25 - Western Lukulu 25-50 - 0-25 Kaoma 25-50 0-25 - Kalabo 50-75 - 50-75 Mongu 75-100 75-100 0-25 Senanga 75-100 75-100 0-25 Sesheke 0-25 0-25 0-25 Shangombo 25-50 25-50 0-25 Southern Itezhi-tezhi 0-25 0-25 0-25 Mazabuka 0-25 0-25 0-25 Namwala 0-25 0-25 0-25

30

Annex 9: Human Settlement and shelter Sector Data Analysis Sheet Number of Tents PROVINCE DISTRICT HABITATIONS Required GENERAL COMMENTS Chibombo 219 219 The urban victims relocated into taverns and bars while those In rural areas relocated to their cooking shelters. Central The urban victims relocated into unused taverns and bars while those, in rural areas relocated to their cooking shelters not fit for human Kapiri Mposhi 647 647 habitation. There s need for further assessment for villagers in Shamputa area who are shelter in a classroom. Mkushi 171 171 Urban victims relocated into taverns and bars while those in the rural areas relocated to their cooking shelters not fit for human habitation. There s need for further assessment for villagers in the Shamputa area who are sheltered in a classroom. Mumbwa 10 0 Affected people have been incorporated in other communities Luanshya 195 0 Affected people have been incorporated in other communities Copperbelt 0 Masaiti 10 One Dam damaged Mpongwe 1,213 0 Affected people have been incorporated in other communities Chama 57 0 Affected people have been incorporated in other communities Eastern Lundazi 39 0 Affected people have been incorporated in other communities 132 Mambwe 979 68 households are sheltered in church while 64 are camped in temporal shelters Nyimba 64 0 Affected people have been incorporated in other communities Kawambwa 5 0 Damage on the uplands was due to storms not floods. Luapula 0 Mwense 4 Affected people have been incorporated in other communities Samfya 67 0 The affected people have been absorbed by the communities

Lusaka Kafue 31 0 The affected people have been absorbed by the communities Luangwa 157 0 The affected people are rebuilding their houses. Chinsali 300 0 Mostly fishing camps. They have since moved to the uplands. 0 Northern Isoka 19 Affected people have been incorporated in other communities Luwingu 14 0 Affected people have been incorporated in other communities 0 Kaputa 4 Affected people have been incorporated in other communities Mungwi 488 0 Affected people have been incorporated in other communities 0 Mpika 259 Affected people have been incorporated in other communities Mpulungu 1,926 0 Affected people have been incorporated in other communities North Western Chavuma 1823 912 Some people living in tents, others incorporated in communities

Kabompo 141 54 162 people are sheltered in rural health centres and churches, Mwinilunga 551 277 Some people living in tents, others incorporated in communities

Solwezi 791 0 Affected people incorporated in community, unplanned settlements, and also a dambo area

Zambezi Still assessing 100 All roads and bridges in West bank damaged so area inaccessible Lukulu 72 0 Affected people have been incorporated in other communities, Others have put up temporal structures. Western Kaoma 227 0 Affected people have been incorporated in other communities Kalabo 100 100 Affected people have put up temporal structures

Mongu 190 190 Affected people have put up temporal structures Senanga 30 30 Affected people have put up temporal structures 0 Shangombo 67 Affected people have been incorporated in other communities Mazabuka 64 0 Collapsed structures due to poor workmanship and not floods, The district has experienced heavy rainfall and not floods. Total 2832

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Annex 10: List of Damaged Roads and Bridges of Strategic Importance Province District Name of road of economic importance that need immediate attention Name of bridges of economic importance that needs immediate attention Central Kabwe Mukonchi Road Kapiri Kakwelesa/Mukonchi feeder roads Muteteshi- linking Kapiri Mposhi to Mukonshi Farm Chimanimani and Mwangule feeder roads Block on Manyumbi-Chibwe road bridge Kabwe / Mpunde road Chibwe/Ntasa (Kaalo stream) Chitakata stretch Kakoma and Chinemu on Chipepo/Mukubwe road bridge Lukomba /nkole strech 1 and 2 Likombo stream Nkole /Kashitu Kakalo bridge connecting Chibwe and Ntasa Mkushi Muswishi 1 bridge Muswishi 2 bridge Kaba Elen bridge Kaba Mali bridge Fiwila bridge Upper Lusemfwa bridge

Chibombo Momboshi river cutting of masamba Village peasant farmers from market clinic Serenje Chisomo road Chibale ring road Copperbelt Mpongwe Off Machiya to Kalyoba Ranch Kafulafuta on Kanyenda/Kasamba Mukumpu/Chisanga Kafulafuta on Iuanshya Mpongwe/Shinengwa Fiwale Dam embarkments. Lukanga/Muchindushi via Swaya to chitube Ndubeni-st. Antony Luanshya/Mpongwe Mpongwe /Kapiri Masaiti Masaiti/Luanshya Kafubu in Luanshya Masaiti Masaiti to Luanshya Ndola turn of Kafulafuta and Malemba Saka footbridge Kawama foot bridge Luanshya Ndola /Luanshya Luanshya Luanshya /Masaiti Fisenge Southern Itezhi-tezhi Bunga to district centre Namwala Itezhi zambwe Banamanzi Baanga Luapula Samfya Maboyamba/tuta Kampongo Kawambwa RD70 Ntika bridge North Western Kasempa Kamakeshi/Bulumunene Small Bridges along the road Mukema/Nyoka Kamatete/Kakoza Kabutwitwi Chavuma Chavuma – Zambezi Lukolowe Chavuma – Sewe – Chingi(Border Post) Kakonge Nguvu – Nyathanda Muyembe Zambezi All feeder Roads in the west Bank Chivombu Embankment leading to Chief Ndungu’s Palace Lusongwa Makalenge

32

Province District Name of road of economic importance that need immediate attention Name of bridges of economic importance that needs immediate attention Kabompo Ndungu – Ndyambombola Watopa Pontoon(Kabompo/ Lukulu) Kayombo Ndunga Muhalavi(Kabompo/ Zambezi)

Northern Luwingu Mfungwe Luena road Luena Upper bridge Katuta to Lokolongo road Lubansenshi Lower Log bridge Chungu to Mutondo road Mufubushi river bridge Luwingu to Chungu road Isoka Nsami and Muleya roads Kasoka ward bridges Culvert of road to District center Bemba bridge on main road Chilumbi mountain road Feeder roads from main road Feeder roads along Luangwa Ward bridge Kaputa Mukonge road bridge culverts Nsumbu ward bridge culverts Bridge to Mutumpike village Culverts on Munwa stream Chitutu and Ngona bridges Munkonge ward bridge culverts Mpika Chiundaponde-Muwele road submerged. 2 bridges damaged at Muwele. Kopa( Nchubula, Mapoma and Kapumfi) 7km flooded, road not passable 7 out of 9 culverts submerged Mbati culverts along the only access road submerged Chinsali RD 56 leading to D18 Kasama Isoka road, Kaunga, Mikunfu, Kankole, Chamusenga, KABONDWE, Chitimba-Mulanga, Mulanga-Chimbwese, Matumbo-Chama, Ilonga- Chishimukila, Chisulo, Mwambwa Nkulungwe, Mundu-Cheswa Mungwi attention Most feeder roads are impassable. Luombe and Rosa, Mabula and Butele and the bridge on road D-18 needs urgent Mpulungu Vyamba, 3 bridges on Vyamba road Lunzuwa Western Mongu Embankment of Flood Plains – 3 Km along from town along the Mongu Senanga road Kalabo Mongu – Kalabo road Kalenga bridge culverts eroded Tapol road Lilengo embankment Mbanikelako bridge (Garbon) Ndoka Bridge Lukulu Nalusheke bridge – culvert eroded Lutumo bridge – culvert Lwenjelo bridge - culvert Kaoma Naliele road Kangolongolo road Kangolongolo bridge - culverts Litoya bridge - culverts Sesheke Sesheke/Shangombo road Eastern Chama Mundalanga/Mapamba Munyukwa/Chifunda /Chikw Mambwe Mambwe Boma/ Mambwe Boma/Chokowa ZAWA roads in South Luangwa Chipata/ Mambwe(Some Portions) Lundazi Lundazi/Kazembe Nyimba Petauke/ Chieftainess Mwape

33

Annex 11: Food Access Analysis Table 8.0. FOOD ACCESS Key: On a scale of 0 to 100% PROVINCE DISTRICT POPULATION WITH ACCESS TO FOOD GENERAL

0-25% 26-50% 51-75% 76-100% COMMENTS Central Chibombo √ Kabwe √ Kapiri Mposhi √ Mkushi √ Mumbwa √ Serenje √ Copperbelt Luanshya √ Masaiti √ Mpongwe √ Eastern Chama √ Lundazi √ Mambwe √ Nyimba √ Luapula Kawambwa √ Mwense √ Samfya √ Lusaka Kafue √ Luangwa √ Northern Chinsali √ Isoka √ Luwingu √ Kaputa √ Mungwi √ Mpika √ Mpulungu √ Chavuma West √ Chavuma East √ North Kabompo √ Western Kasempa √ Mwinilunga √

Solwezi √

Zambezi West √ Zambezi East √ Western Lukulu √ Kaoma √ Kalabo √ Mongu √ Senanga √ Sesheke √ Shangombo √ Itezhi-tezhi √ Southern √ Mazabuka Namwala √

34

Annex 12: Food Needs Table Province District Ward Projected % Population Cereal (MT) Population Affected In need Required Serenje 12,409 0.3 3,723 89 Central Lulimala 6,927 0.3 2,078 50

Luombwa 3,344 0.3 1,003 24

Chibale 7,303 0.3 2,191 53 Chisomo 3,181 0.3 954 23 Masaninga 13,159 0.3 3,948 95 Mailo 9,185 0.3 2,755 66 Serenje 4,266 0.3 1,280 31 Muchinda 13,924 0.3 4,177 100 Kapiri-mposhi Mukubwe 13,876 0.5 6,938 167 Luanchele 10,005 0.4 4,002 96 Ngabwe 6,117 0.5 3,059 73 Lunchu 30,471 0.4 12,188 293 Chipepo 27,351 0.5 13,676 328 Changondo 23,509 0.5 11,754 282 Mpunde 22,388 0.3 6,716 161 Mkushi Chingombe 4,997 0.5 2,499 60 Musofu 5,945 0.5 2,973 71 Chipaba 1,020 0.5 510 12 Mwalala 2,020 0.5 1,010 24 Mwinilunga Kanongesha 16,455 0.35 5,759 138 Ntambu 9,187 0.2 1,837 44 North-Western Kasampula 1,205 0.2 241 6 Kamapanda 8,688 0.35 3,041 73 Zambezi Matondo Nyachikayi 3,883 0.5 1,942 47 Likungu 2,932 0.5 1,466 35

Muyembe Liyoyu 5,633 0.5 2,817 68

Mapachi Chinyingi 8,208 0.5 4,104 98

Mwange Nyawanda 2,529 0.5 1,265 30 Chavuma Nguvu 1,130 0.6 678 16

Kanyinda Likundu 887 0.6 532 13

Sanjongo 3,737 0.5 1,869 45 Lukolwe Musanga 2,176 0.4 870 21

Chambi Mandalo 1,573 0.5 786 19 Kambuya Mukelangombe 1,358 0.5 679 16 Kabompo Kashinakaji 1,388 0.2 278 7 Western Lukulu Kawaya 2,293 0.3 688 17 Kangoti 4,584 0.3 1,375 33 Kakwacha 1,586 0.3 476 11 Kashizhi 5,879 0.3 1,764 42

Lupui 2,322 0.3 697 17 Lutembwe 2,594 0.3 778 19 Matala 1,899 0.3 570 14

Mitete 3,483 0.3 1,045 25

Nyaala 6,245 0.3 1,873 45 Mongu Limulunga 14,368 0.4 5,747 138 Mabili 2,293 0.4 917 22

Ushaa 6,960 0.4 2,784 67

Katongo 10,222 0.4 4,089 98

Lealui 12,080 0.4 4,832 116 Lumbo 8,243 0.4 3,297 79

Mabumbu 4,266 0.4 1,706 41

Namushakende 6,729 0.4 2,692 65 Yeta 9,275 0.4 3,710 89 Kalabo Ng'uma 6,144 0.5 3,072 74

Kuuli 4,890 0.5 2,445 59

Libonda 9,281 0.5 4,641 111 Likulundundu 4,695 0.5 2,348 56

Siluwe 3,422 0.5 1,711 41 Sishekanu 7,716 0.5 3,858 93 Licha 8,450 0.5 4,225 101

Lwambi 2,607 0.5 1,304 31 Mambolomoka 2,431 0.5 1,216 29

Mutala 2,979 0.5 1,490 36

Mwenyi 4,048 0.5 2,024 49

Nengu 2,378 0.5 1,189 29 Kandambo 3,317 0.5 1,658 40

Liumena 4,827 0.5 2,414 58 Maala 5,905 0.5 2,952 71 Mapungu 3,985 0.5 1,992 48 Senanga Imatongo 9,797 0.4 3,919 94 Kambai 10,418 0.4 4,167 100 Lyamakumba 13,737 0.4 5,495 132 Nangucha 9,843 0.4 3,937 94 Makoka 9,483 0.4 3,793 91 Muoyo 4,721 0.4 1,888 45 Mwanambunyi 14,088 0.4 5,635 135 Wanyau 16,023 0.4 6,409 154 Silowana 6,336 0.4 2,535 61 Kaoma Litoya 10,446 0.2 2,089 50 Luambuwa 8,255 0.2 1,651 40 Shikombwe 9,547 0.2 1,909 46 Chama Chilenje 4,640 0.5 2,320 56 Mapamba 4,325 0.5 2,162 52 Lunzi 7,448 0.5 3,724 89 5,134 0.5 2,567 62

Eastern Chipala 871 0.5 435 10 Mabinga 6,572 0.5 3,286 79 Kalinkhu 2,950 0.5 1,475 35

Ndunda 5,326 0.5 2,663 64

Mwalala 3,369 0.5 1,685 40 Mazonde 1,393 0.5 696 17

Luangwa Dzalo 3,554 0.3 1,066 26

Mphuka 1,441 0.3 432 10 2,152 0.3 646 15

Chiriwe 1,102 0.3 331 8

Katondwe 2,215 0.3 664 16 Chikoma 1,860 0.3 558 13

Mankhokwe 1,279 0.3 384 9 Nyimba Luangwa 8,896 0.3 2,669 64 Chamalila 4,524 0.3 1,357 33

Chinambi 7,438 0.3 2,231 54 Katipa 2,140 0.3 642 15 Chinsumbwe 1,698 0.3 509 12 Lundazi Chibande 7,499 0.3 2,250 54 Kazembe 5,287 0.3 1,586 38 Lumimba 1,649 0.3 495 12 Lukusuzi 3,015 0.3 904 22

Mambwe Kakumbi 6,786 0.4 2,715 65 Malama 1,200 0.4 480 12 Mcheka 5,380 0.4 2,152 52 Kasamanda 5,157 0.4 2,063 50 Msoro 1,121 0.4 449 11 Ndima 7,169 0.4 2,868 69 Chikowa 1,705 0.4 682 16 Mphomwa 1,261 0.4 504 12 Chipapa 3,088 0.4 1,235 30 Nsefu 5,303 0.4 2,121 51 Mnkhanya 13,849 0.4 5,540 133 TOTAL 295,148 7,084

36

Annex 13: Table showing Population in the affected wards of the assessed districts.

Province District Projected Ward Population % of Affected No. of Persons District Population Population Affected Chitambo 12,409 Lulimala 6,927 Luombwa 3,344 Chibale 7,303 Serenje 162,458 Chisomo 3,181 45 73,697 Masaninga 13,159 Mailo 9,185 Serenje 4,266 Muchinda 13,924 Mukubwe 13,876 Luanchele 10,005 Ngabwe 6,117 Kapiri-Mposhi 238,182 Lunchu 30,471 133,382 Chipepo 27,351 Changondo 23,509 Central Mpunde 22,388 56 Chingombe 4,997 Musofu 5,945 Mkushi 131,397 11 14,454 Chipaba 1,020 Mwalala 2,020 Muwowo 7,029 Chililalila 4,869 Kabwe 216,175 Munga 4,369 12 25,941 Munyama 5,437 Kaongombe 3,811 Luansanse 1,250 Chitanda 10,758 Mashikili 23,967 Chimbombo 295,491 Chikonkomene 23,834 26 76,828 Lunjofwa 7,842 Ipongo 11,146 Kanongesha 16,455 Mwinilunga 143,709 Ntambu 9,187 25 35,927 Kasampula 1,205 Kamapanda 8,688 Matondo Nyachikayi 3,883 Likungu 2,932 Zambezi 79,450 Muyembe Liyoyu 5,633 29 23,040 Mapachi Chinyingi 8,208 Mwange Nyawanda 2,529 North-Western Nguvu 1,130 Kanyinda Likundu 887 Sanjongo 3,737 Chavuma 36,618 30 10,985 Lukolwe Musanga 2,176 Chambi Mandalo 1,573 Kambuya Mukelangombe 1,358 Kashinakaji 1,388 Kabompo 87,124 Dihamba 1,712 6 5,227 Kayombo 2,052 Western Kawaya 2,293 Kangoti 4,584 Kakwacha 1,586 Kashizhi 5,879 Lukulu 83,623 Lupui 2,322 37 30,940 Lutembwe 2,594 Matala 1,899 Mitete 3,483 Nyaala 6,245 Mongu 198,128 Limulunga 14,368 38 75,289 Mabili 2,293 37

Ushaa 6,960 Katongo 10,222 Lealui 12,080 Lumbo 8,243 Mabumbu 4,266 Namushakende 6,729 Yeta 9,275 Ng'uma 6,144 Kuuli 4,890 Libonda 9,281 Likulundundu 4,695 Siluwe 3,422 Sishekanu 7,716 Licha 8,450 Lwambi 2,607 Kalabo 140,408 55 77,224 Mambolomoka 2,431 Mutala 2,979 Mwenyi 4,048 Nengu 2,378 Kandambo 3,317 Liumena 4,827 Maala 5,905 Mapungu 3,985 Imatongo 9,797 Kambai 10,418 Lyamakumba 13,737 Nangucha 9,843 Senanga 133,453 Makoka 9,483 71 94,751 Muoyo 4,721 Mwanambunyi 14,088 Wanyau 16,023 Silowana 6,336 Litoya 10,446 Luambuwa 8,255 Mulamatila 24,279 Kaoma 198,821 35 69,587 Naliyele 9,051 Namufulu 8,954 Shikombwe 9,547 Mutomena 4,449 Sikabenga 9,088 Mbeta 9,070 Shang'ombo 85,670 49 41,978 Nalwashi 2,256 Kalongola 4,816 Mulonga 12,465 Imusho 1,850 Sichili 7,946 Sesheke 198,821 Mulobezi 5,393 12 23,858 Machile 3,747 Lwamuloba 5,409 Eastern Chilenje 4,640 Mapamba 4,325 Lunzi 7,448 Lumezi 5,134 Chipala 871 Chama 91,590 46 42,132 Mabinga 6,572 Kalinkhu 2,950 Ndunda 5,326 Mwalala 3,369 Mazonde 1,393 Nyimba 86,130 Luangwa 8,896 29 24,978 38

Chamalila 4,524 Chinambi 7,438 Katipa 2,140 Chinsumbwe 1,698 Chibande 7,499 Kazembe 5,287 Lundazi 289,647 6 17,379 Lumimba 1,649 Lukusuzi 3,015 Kakumbi 6,786 Malama 1,200 Mcheka 5,380 Kasamanda 5,157 Msoro 1,121 Mambwe 57,941 Ndima 7,169 90 52,147 Chikowa 1,705 Mphomwa 1,261 Chipapa 3,088 Nsefu 5,303 Mnkhanya 13,849 Kafue 183,715 Chikupi 7,536 4 7,349 Dzalo 3,554 Mphuka 1,441 Kapoche 2,152 Lusaka Luangwa 23,173 Chiriwe 1,102 59 13,672 Katondwe 2,215 Chikoma 1,860 Mankhokwe 1,279 Lunga 4,700 Ncheta 5,666 Nkutila 8,267 Musaba 9,848 Luapula Samfya 200,094 Kapamba 6,127 41 82,038 Kasansa 17,068 Chinkutila 8,470 Kafumbo 10,038 Kasongole 12,092 Miputu 6,685

Masaiti 116,896 Chilulu 4,013 29 33, 900 Shimibanga 7,753 Chinondo 15,497 Copperbelt Munkumpu 13,575 Kashiba 2,404 Mpongwe 78,726 38 29,916 Mpongwe 4,798 Kanyenda 8,998 Northern Mpulungu 27,344 Chibuluma 10,076 Mpulungu 82,677 61 50,433 Vyamba 9,774 Iyendwe 3,634 Itapa 15,404 Chilinda 11,604 Kaunga 9,783 Chinsali 157,334 Lubwa 1,307 38 59,787 Nkulungwe 7,158 Chimpandu 7,978 Munwakubili 6,157 3,572 Chifungwe 3,993 Mpika 178,798 Chambeshi 10,285 16 28,608 Munikashi 4,677 Lulingila 6,431 Mungwi 138,171 Mpanda 10,866 26 35,924 39

Kalungu 15,785 Chambeshi 8,711 Nsumbu 11,412 Mukubwe 4,306 Kaputa 106,686 Chubo 2,672 30 32,006 9,473 Fungwa 3,960 Kalanga 9,331 Mafinga 4,370 Isoka 121,467 Kantenshya 6,618 26 31,581 Luangwa 3,845 Ntonga 7,772 Munshinga 3,273 Lwata 3,805 Luwingu 98,767 Bwalinde 6,199 20 19,753 Ilambo 3,059 Kaela 3,574 Mbila 6,150 Basanga 4,973 Itezhi-tezhi 52,725 Luubwe 1,799 40 21,090 Lubanda 5,944 Banamwaze 2,061 Itebe 3,342 Southern Mazabuka Munenga 4,164 4 17,398 248,537 Kalama 2,617 Namwala Central 7,682 Baambwe 3,515 Namwala 101,277 Katengwa 5,648 30 30,383 Maala 6,575 Kakuweza Ngabo 6,725 1,443,583

40

Annex 14: Table of Assistance provided to Flood Victims so far Province District Assistance so far

Central Kabwe, Kapiri and • 50 and 100mts of maize delivered respectively Mumbwa • 100mts of maize delivered

Copperbelt Masaiti • 100mts of mealie meal (2000 x 50kg bags)

Eastern Chama and Mambwe • Financial resources have been made available to both Mambwe and Chama while payment is being processed for Lundazi • 1000 x 25Kg mealie meal delivered to Mambwe • 30 tents, 484 boxes of chlorine as well as 200 mosquito nets delivered to Mambwe

Lusaka Luangwa • 110mt mealie meal • 100mts of maize grain • 30 tents Northern Mpulungu and Mpika • Financial resources released to support the response and monitoring activities. • 100mts (200 x 50kg bags) delivered for distribution in Mpulungu and 100mts (200 x 50kg bags) for Mpika North Western Solwezi • 300 tents • Chlorine and disinfectant supplied • Funds for monitoring Zambezi, Chavuma and • 4000 x 50Kg bags of maize have been supplied to each of the districts, Mwinilunga • Fuels have been supplied for monitoring activities • A boat and engine have been delivered to Zambezi and Chavuma • 10, 50 and 47 tents have been delivered to Zambezi, Chavuma and Mwinilunga respectively • Financial resources released to District Disaster Management Committees to support monitoring and response activities • Relief maize airlifted to cut off areas of Zambezi and Chavuma • Emergency works on Kalukundu and Musangila bridges in Mwinilunga have been completed (effectively linking chiefs Kanongeshya and Kakoma to the district administrative center)

Western Kalabo,Lukulu, Mongu and Senanga • Financial resources made available to support District Disaster Management Committees monitoring and primary response activities • 2 boats and engines deployed within Kalabo, Lukulu, Mongu and Senanga- Zambezi catchment areas to strengthen monitoring activities • 30 tents, 500 boxes of chlorine and 200 mosquito nets delivered to Mongu tomorrow for pre-positioning • 2 more boats and engines delivered in order to help in quickening the movement of people from the plains to higher grounds

Southern Namwala • K5,000,000 and 10 tents

41

Annex 15: District Map Showing Impact of Floods in Zambia

Impact of Floods in Zambia Multisectoral Review of several Impact Factors - House damages destroyed ChiengiKaputa Mpulungu - Children out of school Mbala - Loss of crops/main source of Nchelenge Nakonde income Kawambwa Mporokoso - Poor access due to damaged Mungwi Isoka Infrastructures - Need of assistance: food, shelter, Luwingu Kasama Mwense medical supply

Chilubi Chinsali Sources: Mansa Chama VAC Field Work and Samfya Secondary Data Milenge Mpika Mwinilunga Solwezi Chililabombwe Chingola Lundazi Kitwe Lufwanyama Ndola Impact levels

Chavuma Kabompo Serenje Mambwe No Impact Masaiti Zambezi Mpongwe Chipata Low Mufumbwe Kasempa Katete Mkushi Petauke Chadiza Moderate Kapiri Mposhi Lukulu Kabwe Nyimba Severe Kaoma Mumbwa Kalabo Chibombo Mongu Lusaka Chongwe Luangwa Namwala Kafue Itezhi-tezhi Mazabuka Senanga Monze Siavonga Sesheke Shang'ombo ChomaGwembe Kazungula Kalomo N Sinazongwe

Livingstone

Annex 16: District maps showing sector specific impact

Flood Risk Map on Water and Sanitation REPUBLIC OF ZAMBIA Chiengi Flood Impact on Infrastructure, Roads and Bridges Kaputa Mpulungu Mbala Chiengi Kaputa Nakonde Mpulungu Kawambwa Mbala Nchelenge Mporokoso Mungwi Nakonde Kawambwa Mporokoso Isoka Mwense Kasama Mungwi Isoka Luwingu Kasama Mwense Luwingu Chinsali Mansa Chilubi Chilubi Chinsali Chama Mansa Chama Samfya Samfya Mwinilunga Milenge Milenge Mwinilunga Mpika Mpika Solwezi Chililabombwe Solwezi Lundazi ChingolaMufulira Lundazi Chingola Lufwanyama Kitwe Ndola Lufwanyama Chavuma Kabompo Serenje Chavuma Kabompo Masaiti Mambwe Mambwe Zambezi Mpongwe Chipata Masaiti Serenje Mufumbwe Kasempa Zambezi Mufumbwe Mpongwe Katete Chipata Mkushi Petauke Chadiza Kasempa Kapiri Mposhi Katete Chadiza Lukulu Kabwe Nyimba Kapili Mposhi Mkushi Lukulu Petauke Kaoma Low Kabwe Nyimba Mumbwa Chibombo Provincial boundary Kalabo Mongu Moderate boundary Lusaka Chongwe Kaoma Luangwa Kalabo Mumbwa Severe Severe Kafue Mongu Chongwe Moderate Itezhi-tezhi Namwala Mazabuka Luangwa Low Senanga Monze Itezhi-tezhi Kafue Siavonga Namwala Mazabuka Sesheke Senanga Shang'ombo Gwembe Choma Monze Kazungula Siavonga Kalomo Shang'mbo Gwembe Sinazongwe Sesheke Choma Livingstone N Kazungulu Kalomo N Sinazongwe 300 0 300 Kilometers Livingstone 300 0 300 Kilometers

REPUBLIC OF ZAMBIA REPUBLIC OF ZAMBIA Chiengi Chiengi Kaputa Flood Impact on Health Flood Impact on Agriculture (Livestock) Mpulungu Kaputa Mpulungu Mbala Mbala Nakonde Nakonde Kawambwa Kawambwa Mporokoso Mungwi Mporokoso Mungwi Isoka Isoka Mwense Kasama Mwense Kasama Luwingu Luwingu Chinsali Chinsali Mansa Chilubi Mansa Chilubi Chama Chama Samfya Samfya Mwinilunga Milenge Mwinilunga Milenge Mpika Mpika Solwezi Lundazi Solwezi Lundazi Chingola Chingola Chavuma Lufwanyama Chavuma Lufwanyama Kabompo Kabompo Mambwe Mambwe Serenje Masaiti Serenje Masaiti Zambezi Mpongwe Zambezi Mufumbwe Mpongwe Mufumbwe Chipata Kasempa Chipata Kasempa Katete Chadiza Kapili Mposhi Katete Chadiza Kapili Mposhi Mkushi Mkushi Lukulu Petauke Lukulu Kabwe Nyimba Petauke Kabwe Nyimba Provincial boundary Chibombo Provincial boundary Kaoma Chibombo District boundary Kalabo Kaoma Kalabo Mumbwa Severe boundary Mongu Chongwe Moderate Mongu Chongwe Severe Luangwa Low Luangwa Low Itezhi-tezhi Itezhi-tezhi Kafue Kafue Namwala Namwala Mazabuka Senanga Mazabuka Senanga Monze Siavonga Monze Siavonga Shang'mbo Sesheke Gwembe Shang'mbo Sesheke Gwembe Choma Choma Kazungulu Kazungulu Kalomo Kalomo N Sinazongwe Sinazongwe N Livingstone Livingstone

300 0 300 Kilometers 300 0 300Kilometers

43

REPUBLIC OF ZAMBIA REPUBLIC OF ZAMBIA Flood Impact on Education Chiengi Flood Impact on Agriculture (Crops) Kaputa Mpulungu Mbala

Chiengi Nakonde Kaputa Kawambwa Mpulungu Mporokoso Mungwi Mbala Nchelenge Nakonde Isoka Kawambwa Mporokoso Mwense Kasama Luwingu Mungwi Isoka Chinsali Luwingu Kasama Mwense Mansa Chilubi Chama Chilubi Chinsali Samfya Chama Mansa Mwinilunga Milenge Samfya Mpika

Milenge Mpika Solwezi Lundazi Mwinilunga Chingola Solwezi Chililabombwe ChingolaMufulira Lundazi Lufwanyama Chavuma Kabompo Kitwe Mambwe Lufwanyama Ndola Serenje Luanshya Masaiti Chavuma Kabompo Serenje Zambezi Mufumbwe Mpongwe Masaiti Chipata Mambwe Kasempa Zambezi Mpongwe Chipata Mufumbwe Katete Chadiza Kasempa Kapili Mposhi Mkushi Katete Lukulu Petauke Mkushi Petauke Chadiza Kabwe Nyimba Kapiri Mposhi Provincial boundary Lukulu Nyimba Kabwe Kaoma Chibombo District boundary Kaoma Kalabo Mumbwa Severe Mumbwa Chibombo Mongu Chongwe Moderate Kalabo Mongu Luangwa Low Lusaka Chongwe Low Luangwa Itezhi-tezhi Kafue Kafue Moderate Namwala Senanga Mazabuka Itezhi-tezhi Namwala Mazabuka Severe Senanga Monze Monze Siavonga Siavonga Shang'mbo Sesheke Gwembe Sesheke Shang'ombo Gwembe Choma Choma Kazungulu Kazungula Kalomo Kalomo Sinazongwe Sinazongwe N Livingstone N Livingstone 300 0 300 Kilometers

44

Annex 17: Table showing Districts and wards affected population at risk of water contamination

Projected Projected Water and Sanitation District Ward No. of Persons Severely Affected Severely Affected District Population Ward Population Affected Ward Population District Population

10,857 Chitambo 12,409

6,061 Lulimala 6,927

2,926 Luombwa 3,344

6,390 Chibale 7,303

Serenje 2,783 64,485 162,458 Chisomo 3,181 73,697

11,515 Masaninga 13,159

8,037 Mailo 9,185

3,733 Serenje 4,266

12,183 Muchinda 13,924

Mukubwe 13,876 12,142

Luanchele 10,005 8,755

Ngabwe 6,117 5,353

Kapiri-mposhi 117,003 238,182 Lunchu 30,471 133,382 26,662

Chipepo 27,351 23,932

Changondo 23,509 20,570

Mpunde 22,388 19,590

3,123 Chingombe 4,997

3,716 Musofu 5,945 Mkushi 14,454 8,739 131,397 637 Chipaba 1,020

1,263 Mwalala 2,020

4,393 Muwowo 7,029

3,043 Chililalila 4,869

2,730 Munga 4,369 Kabwe 25,941 16,728 216,175 3,398 Munyama 5,437

2,382 Kaongombe 3,811

781 Luansanse 1,250

9,413 Chitanda 10,758

20,971 Mashikili 23,967

Chimbombo 76,828 20,855 67,853 295,491 Chikonkomene 23,834

6,862 Lunjofwa 7,842

9,753 Ipongo 11,146

10,285 Kanongesha 16,455

5,742 Ntambu 9,187 Mwinilunga 35,927 22,210 143,709 753 Kasampula 1,205

5,430 Kamapanda 8,688

2,427 Matondo Nyachikayi 3,883

1,832 Likungu 2,932

Zambezi 23,040 3,521 14,490 79,450 Muyembe Liyoyu 5,633

5,130 Mapachi Chinyingi 8,208 Mwange Nyawanda 1,581

2,529

706 Nguvu 1,130

554 Kanyinda Likundu 887

2,336 Sanjongo 3,737 Chavuma 10,985 6,788 36,618 1,360 Lukolwe Musanga 2,176

983 Chambi Mandalo 1,573

848 Kambuya Mukelangombe 1,358

868 Kashinakaji 1,388

Kabompo 5,227 1,070 3,220 87,124 Dihamba 1,712

1,283 Kayombo 2,052

2,006 Kawaya 2,293

4,011 Kangoti 4,584

1,388 Kakwacha 1,586

5,144 Kashizhi 5,879

Lukulu 30,940 2,032 27,025 83,623 Lupui 2,322

2,270 Lutembwe 2,594

1,662 Matala 1,899

3,048 Mitete 3,483

5,464 Nyaala 6,245

8,980 Limulunga 14,368

1,433 Mabili 2,293

4,350 Ushaa 6,960

6,389 Katongo 10,222

Mongu 75,289 7,550 46,522 198,128 Lealui 12,080

5,152 Lumbo 8,243

2,666 Mabumbu 4,266

4,206 Namushakende 6,729

5,797 Yeta 9,275

Kalabo 77,224 3,840 48,172 140,408 Ng'uma 6,144

3,056 Kuuli 4,890

5,801 Libonda 9,281

2,934 Likulundundu 4,695

2,139 Siluwe 3,422

4,822 Sishekanu 7,716

5,281 Licha 8,450

1,630 Lwambi 2,607

1,520 Mambolomoka 2,431

1,862 Mutala 2,979

2,530 Mwenyi 4,048

1,486 Nengu 2,378

2,073 Kandambo 3,317

3,017 Liumena 4,827

46

3,690 Maala 5,905

2,490 Mapungu 3,985

8,573 Imatongo 9,797

9,115 Kambai 10,418

12,020 Lyamakumba 13,737

8,612 Nangucha 9,843

Senanga 94,751 8,298 82,639 133,453 Makoka 9,483

4,131 Muoyo 4,721

12,327 Mwanambunyi 14,088

14,020 Wanyau 16,023

5,544 Silowana 6,336

6,529 Litoya 10,446

5,160 Luambuwa 8,255

15,174 Mulamatila 24,279 Kaoma 69,587 44,082 198,821 5,657 Naliyele 9,051

5,596 Namufulu 8,954

5,967 Shikombwe 9,547

2,900 Chilenje 4,640

2,703 Mapamba 4,325

4,655 Lunzi 7,448

3,209 Lumezi 5,134

544 Chipala 871 Chama 42,132 26,268 91,590 4,108 Mabinga 6,572

1,844 Kalinkhu 2,950

3,329 Ndunda 5,326

2,106 Mwalala 3,369

871 Mazonde 1,393

3,336 Luangwa 8,896

1,696 Chamalila 4,524

Nyimba 24,978 2,789 9,261 86,130 Chinambi 7,438

803 Katipa 2,140

637 Chinsumbwe 1,698

2,812 Chibande 7,499

1,983 Kazembe 5,287 Lundazi 17,379 6,544 289,647 618 Lumimba 1,649

1,131 Lukusuzi 3,015

Mambwe 52,147 5,938 45,518 57,941 Kakumbi 6,786

1,050 Malama 1,200

4,707 Mcheka 5,380

4,513 Kasamanda 5,157

981 Msoro 1,121

6,273 Ndima 7,169 47

1,492 Chikowa 1,705

1,103 Mphomwa 1,261

2,702 Chipapa 3,088

4,640 Nsefu 5,303

12,118 Mnkhanya 13,849

7,349 4,710 Kafue 183,715 Chikupi 7,536 4,710

1,333 Dzalo 3,554

540 Mphuka 1,441

807 Kapoche 2,152

Luangwa 13,672 413 5,101 23,173 Chiriwe 1,102

831 Katondwe 2,215

698 Chikoma 1,860

480 Mankhokwe 1,279

4,112 Lunga 4,700

4,958 Ncheta 5,666

7,234 Nkutila 8,267

8,617 Musaba 9,848

Samfya 82,038 5,361 71,993 200,094 Kapamba 6,127

14,935 Kasansa 17,068

7,412 Chinkutila 8,470

8,784 Kafumbo 10,038

10,580 Kasongole 12,092

5,849 Miputu 6,685

3,511 Chilulu 4,013 Masaiti 33,900 29,703 116,896 6,784 Shimibanga 7,753

13,560 Chinondo 15,497

8,485 Munkumpu 13,575

1,503 Kashiba 2,404 Mpongwe 29,916 18,609 78,726 2,999 Mpongwe 4,798

5,624 Kanyenda 8,998

17,090 Mpulungu 27,344

6,298 Chibuluma 10,076 Mpulungu 50,433 31,767 82,677 6,109 Vyamba 9,774

2,271 Iyendwe 3,634

13,478 Itapa 15,404

10,153 Chilinda 11,604

8,560 Kaunga 9,783

Chinsali 59,787 1,144 51,966 157,334 Lubwa 1,307

6,263 Nkulungwe 7,158

6,980 Chimpandu 7,978

5,387 Munwakubili 6,157

Mpika 28,608 2,233 18,099 178,798 Muchinga 3,572 48

2,496 Chifungwe 3,993

6,428 Chambeshi 10,285

2,923 Munikashi 4,677

4,019 Lulingila 6,431

6,791 Mpanda 10,866

Mungwi 35,924 9,866 22,102 138,171 Kalungu 15,785

5,445 Chambeshi 8,711

9,985 Nsumbu 11,412

3,768 Mukubwe 4,306

Kaputa 32,006 2,338 27,846 106,686 Chubo 2,672

8,289 Chipili 9,473

3,465 Fungwa 3,960

5,832 Kalanga 9,331

2,731 Mafinga 4,370

Isoka 31,581 4,136 19,960 121,467 Kantenshya 6,618

2,403 Luangwa 3,845

4,858 Ntonga 7,772

2,864 Munshinga 3,273

3,329 Lwata 3,805

Luwingu 19,753 5,424 17,421 98,767 Bwalinde 6,199

2,676 Ilambo 3,059

3,127 Kaela 3,574

3,844 Mbila 6,150

3,108 Basanga 4,973

Itezhi-tezhi 21,090 1,124 13,079 52,725 Luubwe 1,799

3,715 Lubanda 5,944

1,288 Banamwaze 2,061

1,253 Itebe 3,342

Mazabuka 17,398 1,562 3,796 Munenga 4,164

981 248,537 Kalama 2,617

4,801 Namwala Central 7,682

2,197 Baambwe 3,515

Namwala 30,383 3,530 18,840 101,277 Katengwa 5,648

4,109 Maala 6,575

4,203 Kakuweza Ngabo 6,725 1,377,746 1,012,540 1,012,540

49

Annex 18: Needs Analysis for Winter Cropping Support

Wetland HHs to Support with system DISTRICT % Loss of Staple Crop Population Affected HHs Affected Winter Cropping Chama 50-75 42,132 7,022 800 Luangwa Luangwa 50-75 13,672 2,279 500 Samfya 50-75 82,038 13,673 1,400 Luwingu 75-100 19,753 3,292 500 Isoka 75-100 31,581 5,264 600 Chambeshi Mpika 50-75 28,608 4,768 600 Mweru wantipa Kaputa 75-100 32,006 5,334 600 Tanganyika Mpulungu 50-75 50,433 8,406 900 Chavuma 50-75 10,985 1,831 450 Mwinilunga 50-75 35,927 5,988 600 Zambezi West 75-100 23,040 3,840 900 Barotse Kalabo 50-75 77,224 12,871 1,300 Mongu 75-100 75,289 12,548 1,300 Senanga 75-100 94,751 15,792 1,600

Total 617,439 102,907 12,050 Notes Each Household to Receive a Food Security Pack Comprising 1 x 5kg Maize seed, 1 x7.5 kg of beans or 1 x 2.5kg of Cowpeas seed, 1 x 25kg each of basal and top dressing fertiliser

Annex 19: Flood Impact on Livestock and Needs Analysis Key: 75 to 100% Very Severe, 50 to 74% Severely Affected, 25 to 49% Moderately Affected, 0 to 2% Least Affected PROVINCE DISTRICT % Loss Cattle Population at Risk Comments/Recommendations

Chibombo 0-25 Livestock impact refers to goats

Kabwe - No information available Central Kapiri Mposhi 0-25 Mkushi 0-25

Mumbwa 0-25

Serenje 0-25

Copperbelt Luanshya 0-25 Masaiti 0-25 Mpongwe 0-25

Chama 0-25 Eastern Lundazi 0-25 Mambwe 0-25 Nyimba 25-50 Luapula Kawambwa 0-25 Mwense 0-25 Samfya -

Lusaka Kafue 0-25 Luangwa 25-50 Risk of outbreak of Anthrax

Chinsali 50-75 Livestock impact refers to Poultry Northern Isoka 0-25 Luwingu 25-50

Kaputa 25-50 Mungwi 0-25 Mpika 25-50 Mpulungu 0-25 Chavuma East 50-75 15,000 Risk of outbreak of ,CBPP, heamorrhagic Septicaemia, Black leg North Chavuma West 75-100 Western Kabompo 0-25 15,000 Risk of outbreak of Anthrax, CBPP, heamorrhagic Septicaemia, Black leg

Kasempa 0-25 Mwinilunga 0-25 10,000 Risk of outbreak of CBPP, heamorrhagic Septicaemia Solwezi 0-25 Zambezi West 75-100 25,000 Inaccessible, Risk of outbreak of CBPP, heamorrhagic Septicaemia, Black leg Zambezi East 0-25 Risk of outbreak of CBPP, heamorrhagic Septicaemia, Black leg Western Lukulu 25-50 67,000 Risk of outbreak of CBPP, anthrax Kaoma 0-25 56,000 Risk of outbreak of CBPP Kalabo 50-75 67,000 Risk of outbreak of Anthrax, CBPP, heamorrhagic Septicaemia, Black leg Mongu 0-25 84,000 Risk of outbreak of Anthrax, CBPP, heamorrhagic Septicaemia, Black leg Senanga 0-25 62,000 Risk of outbreak of Anthrax, CBPP, heamorrhagic Septicaemia, Black leg Sesheke 0-25 69,000 Shangombo 0-25 87,000 Risk of outbreak of Anthrax, CBPP, heamorrhagic Septicaemia, Black leg Southern Itezhi-tezhi 0-25 35,000 Risk of outbreak of Corridor diseases Mazabuka 0-25 - Namwala 0-25 98,000 Risk of outbreak of Corridor diseases Total 690,000

Annex 20: Needs Analysis of the Education Sector Low = 0-5% Moderate = 5-10% Severe = >10%

PROVINCE DISTRICT Impact Rating No Schools to be Rehabilated Central Chibombo L 15 Kabwe L 0 Kapiri Mposhi M 18 Mkushi L 10 Mumbwa L 0 Serenje L 0 Copperbelt Luanshya L 0 Masaiti M 1 Mpongwe M 5 Eastern Chama S 11 Lundazi L 0 Mambwe L 2 Nyimba M 3 Luapula Kawambwa L 1 Mwense L 0 Samfya L 2 Lusaka Kafue L 4 Luangwa L 7 Northern Chinsali S 8 Isoka L 0 Luwingu L 0 Kaputa L 1 Mungwi L 0 Mpika L 11 Mpulungu S 35 North Western Chavuma S 16 Kabompo S 54 Kasempa L 0 Mwinilunga L 4 Solwezi L 15 Zambezi S 46 Western Lukulu L 18 Kaoma L 2 Kalabo L 1 Mongu L 1 Senanga L 1 Sesheke L 0 Shangombo L 0 Southern Itezhi-tezhi L 0 Mazabuka L 3 Namwala L 1

52

Annex 21: Needs Analysis for Water and Sanitation Water and Sanitation Granular Clorin Clorin Clorin Granular Clorin (HTH) Total requirement by requirement (HTH) requirement by Projected Projected Severely Severely ward (250ml by District requirement by District ((50kg Boreholes Borehole District Ward Affected Affected bottle) per (250ml bottle) Ward(50kg container) per requirement requirement Province District Population Population Population Population month per month container) month by Ward by District

Central 6,434 4 4 12,409 10,857

3,592 2 2 6,927 6,061

1,734 1 1 3,344 2,926

3,786 2 3 7,303 6,390

Serenje 64,485 1,649 38,212 1 21 1 26 162,458 3,181 2,783

6,823 4 5 13,159 11,515

4,762 3 3 9,185 8,037

2,212 1 1 4,266 3,733

7,219 4 5 13,924 12,183

7,195 4 5 13,876 12,142

5,188 3 4 10,005 8,755

3,172 2 2 6,117 5,353 Kapiri- 117,003 15,799 69,332 9 39 11 47 mposhi 238,182 30,471 26,662

14,182 8 10 27,351 23,932

12,189 7 8 23,509 20,570

11,608 7 8 22,388 19,590

1,851 1 1 4,997 3,123

2,202 1 1 5,945 3,716 Mkushi 8,739 5,179 3 3 131,397 378 0 0 1,020 637

748 0 1 2,020 1,263

Kabwe 16,728 2,603 9,912 1 6 2 7 216,175 7,029 4,393

1,803 1 1 4,869 3,043

1,618 1 1

53

4,369 2,730

2,014 1 1 5,437 3,398

1,411 1 1 3,811 2,382

463 0 0 1,250 781

5,578 3 4 10,758 9,413

12,427 7 8 23,967 20,971

Chimbombo 67,853 12,358 40,208 7 23 8 27 295,491 23,834 20,855

4,066 2 3 7,842 6,862

5,779 3 4 11,146 9,753

6,094 3 4 16,455 10,285

3,403 2 2 9,187 5,742 Mwinilunga 22,210 13,161 7 9 143,709 446 0 0 1,205 753

3,218 2 2 8,688 5,430

1,438 1 1 3,883 2,427

1,086 1 1 2,932 1,832

Zambezi 14,490 2,086 8,586 1 5 1 6 79,450 5,633 3,521

3,040 2 2 8,208 5,130

937 1 1 North- 2,529 1,581 Western 419 0 0 1,130 706

328 0 0 887 554

1,384 1 1 3,737 2,336 Chavuma 6,788 4,022 2 3 36,618 806 0 1 2,176 1,360

582 0 0 1,573 983

503 0 0 1,358 848

514 0 0 1,388 868

Kabompo 3,220 634 1,908 0 1 0 1 87,124 1,712 1,070 760 0 1

54

2,052 1,283

Western 1,189 1 1 2,293 2,006

2,377 1 2 4,584 4,011

822 0 1 1,586 1,388

3,048 2 2 5,879 5,144

Lukulu 27,025 1,204 16,014 1 9 1 11 83,623 2,322 2,032

1,345 1 1 2,594 2,270

985 1 1 1,899 1,662

1,806 1 1 3,483 3,048

3,238 2 2 6,245 5,464

5,321 3 4 14,368 8,980

849 0 1 2,293 1,433

2,578 1 2 6,960 4,350

3,786 2 3 10,222 6,389

Mongu 46,522 4,474 27,568 3 16 3 19 198,128 12,080 7,550

3,053 2 2 8,243 5,152

1,580 1 1 4,266 2,666

2,492 1 2 6,729 4,206

3,435 2 2 9,275 5,797

Kalabo 48,172 2,276 28,545 1 16 2 19 140,408 6,144 3,840

1,811 1 1 4,890 3,056

3,437 2 2 9,281 5,801

1,739 1 1 4,695 2,934

1,267 1 1 3,422 2,139

2,858 2 2 7,716 4,822

3,129 2 2 8,450 5,281

966 1 1

55

2,607 1,630

900 1 1 2,431 1,520

1,103 1 1 2,979 1,862

1,499 1 1 4,048 2,530

881 0 1 2,378 1,486

1,228 1 1 3,317 2,073

1,788 1 1 4,827 3,017

2,187 1 1 5,905 3,690

1,476 1 1 3,985 2,490

5,080 3 3 9,797 8,573

5,401 3 4 10,418 9,115

7,122 4 5 13,737 12,020

5,103 3 3 9,843 8,612

Senanga 82,639 4,917 48,970 3 28 3 33 133,453 9,483 8,298

2,448 1 2 4,721 4,131

7,304 4 5 14,088 12,327

8,308 5 6 16,023 14,020

3,285 2 2 6,336 5,544

3,869 2 3 10,446 6,529

3,057 2 2 8,255 5,160

8,992 5 6 24,279 15,174 Kaoma 44,082 26,122 15 18 198,821 3,352 2 2 9,051 5,657

3,316 2 2 8,954 5,596

3,536 2 2 9,547 5,967

Eastern Chama 26,268 1,718 15,565 1 9 1 11 91,590 4,640 2,900

1,602 1 1 4,325 2,703

2,758 2 2

56

7,448 4,655

1,901 1 1 5,134 3,209

322 0 0 871 544

2,434 1 2 6,572 4,108

1,093 1 1 2,950 1,844

1,973 1 1 5,326 3,329

1,248 1 1 3,369 2,106

516 0 0 1,393 871

1,977 1 1 8,896 3,336

1,005 1 1 4,524 1,696

Nyimba 9,261 1,653 5,488 1 3 1 4 86,130 7,438 2,789

476 0 0 2,140 803

377 0 0 1,698 637

1,666 1 1 7,499 2,812

1,175 1 1 5,287 1,983 Lundazi 6,544 3,878 2 3 289,647 366 0 0 1,649 618

670 0 0 3,015 1,131

Mambwe 45,518 3,519 26,972 2 15 2 18 57,941 6,786 5,938

622 0 0 1,200 1,050

2,790 2 2 5,380 4,707

2,674 2 2 5,157 4,513

581 0 0 1,121 981

3,717 2 3 7,169 6,273

884 0 1 1,705 1,492

654 0 0 1,261 1,103

1,601 1 1 3,088 2,702

2,750 2 2

57

5,303 4,640

7,181 4 5 13,849 12,118

4,710 2,791 2,791 2 2 2 2 Kafue 183,715 7,536 4,710

790 0 1 3,554 1,333

320 0 0 1,441 540

478 0 0 2,152 807 Lusaka

Luangwa 5,101 245 3,023 0 2 0 2 23,173 1,102 413

492 0 0 2,215 831

413 0 0 1,860 698

284 0 0 1,279 480

2,437 1 2 4,700 4,112

2,938 2 2 5,666 4,958

4,287 2 3 8,267 7,234

5,106 3 3 9,848 8,617

Luapula Samfya 71,993 3,177 42,661 2 24 2 29 200,094 6,127 5,361

8,850 5 6 17,068 14,935

4,392 2 3 8,470 7,412

5,205 3 4 10,038 8,784

6,270 4 4 12,092 10,580

3,466 2 2 6,685 5,849

2,081 1 1 4,013 3,511 Masaiti 29,703 17,601 10 12 116,896 4,020 2 3 7,753 6,784

8,035 5 5 Copperbelt 15,497 13,560

5,028 3 3 13,575 8,485

890 1 1 Mpongwe 2,404 1,503 18,609 11,027 6 7 78,726 1,777 1 1 4,798 2,999 3,332 2 2

58

8,998 5,624

Northern 10,127 6 7 27,344 17,090

3,732 2 3 10,076 6,298 Mpulungu 31,767 18,824 11 13 82,677 3,620 2 2 9,774 6,109

1,346 1 1 3,634 2,271

7,987 4 5 15,404 13,478

6,017 3 4 11,604 10,153

5,072 3 3 9,783 8,560

Chinsali 51,966 678 30,794 0 17 0 21 157,334 1,307 1,144

3,712 2 3 7,158 6,263

4,136 2 3 7,978 6,980

3,192 2 2 6,157 5,387

1,323 1 1 3,572 2,233

1,479 1 1 3,993 2,496

Mpika 18,099 3,809 10,725 2 6 3 7 178,798 10,285 6,428

1,732 1 1 4,677 2,923

2,382 1 2 6,431 4,019

4,024 2 3 10,866 6,791

Mungwi 22,102 5,846 13,097 3 7 4 9 138,171 15,785 9,866

3,226 2 2 8,711 5,445

5,917 3 4 11,412 9,985

2,233 1 2 4,306 3,768

Kaputa 27,846 1,386 16,501 1 9 1 11 106,686 2,672 2,338

4,912 3 3 9,473 8,289

2,053 1 1 3,960 3,465

Isoka 19,960 3,456 11,828 2 7 2 8 121,467 9,331 5,832

1,618 1 1

59

4,370 2,731

2,451 1 2 6,618 4,136

1,424 1 1 3,845 2,403

2,878 2 2 7,772 4,858

1,697 1 1 3,273 2,864

1,973 1 1 3,805 3,329

Luwingu 17,421 3,214 10,323 2 6 2 7 98,767 6,199 5,424

1,586 1 1 3,059 2,676

1,853 1 1 3,574 3,127

2,278 1 2 6,150 3,844

1,842 1 1 4,973 3,108

Itezhi-tezhi 13,079 666 7,750 0 4 0 5 52,725 1,799 1,124

2,201 1 1 5,944 3,715

763 0 1 2,061 1,288

743 0 1 3,342 1,253

Southern Mazabuka 3,796 925 2,250 1 1 1 2 4,164 1,562

582 0 0 248,537 2,617 981

2,845 2 2 7,682 4,801

1,302 1 1 3,515 2,197

Namwala 18,840 2,092 11,164 1 6 1 8 101,277 5,648 3,530

2,435 1 2 6,575 4,109

2,491 1 2 6,725 4,203

1,012,540 1,012,540 600,000 600,000 338 338 405 405 4,559,386 1,370,550

60

Annex 22: Maps showing affected wards in the assessed Districts

CHIBOMBO DISTRICT Most affected Areas

MUSWISHI

IPONGO CHIBOMBO

CHITANDA CHIKOBO CHIKONKOMENE

KAKOMA MASHIKILI LUNJOFWA CHALOSHI CHISAMBA KALOLA CHAMUKA

KABILE Railwayline Rivers Tarmac road MUCHENJE Gravel road MUNGULE Most Affected Not Affected N

To Lusaka

0 60 Kilometers

KABWE DISTRICT Most Affected Areas

MPIMA MUWOWO

LUANG WA

HIGH RIDG E JUSTINE KABW E CHILILALILA LUANSANSE Railwayline Roads MUNGA Dambos Most affected KANGOMBA Not Affected

MUNYAMA

N

20 0 20Kilometers

MKUSHI DISTRICT Most Affected Areas

UPP-LUSENFWA

MUSOFU CHALATA NKUMBI MUNSHIBEMBA

NSHINSO TEMBWE KALWA

MUNDA CHIKANDA

KAMIMBYA CHING'OMBE i Rivers s h Railwayline n Major river sa u Most Affected k Not Affected u

L

ya semf CHIPABA un MWALALA L N

70 0 70 Kilometers

SERENJE DISTRICT Most Affected Areas LULIMALA

CHIPUNDU

Kasanka Game Reserve LUOMBWA CHALILO

NGANSWA CHITAMBO MUCHINKA MUSANGASHI

MAILO KABAMBA SERENJE KANONA MUCHINGA IBOLELO Luangwa.V.Game.Reserve Rivers National Park Most affected LUKUSASHI Not Affected

MASANINGA SANCHA

CHIBALE CHISOMO N

0 60 Kilometers

62

CHAMA DISTRICT Most Affected Areas

MBAZI

MAZONDE NDUNDA

KALINKU

MWALALA

MABINGA BAZIMU CHIPALA

LUMENZI

CHIBUNGWE LUNZI

VILIMUKULU

Rivers CHILENJE Most affected Not Affected MAPAMBA

N

50 0 50 Kilometers

LUNDAZI DISTRICT Most Affected Areas MANDA HILL

SUSA

KAJILIME

MAGODI

KAPILISANGA NKHANGA MEMBE CHABOLI KAZEMBE VUU MNYAMAZI

CHIMALIRO a MSUZI w LUMIMBA CHAMTOWA g LUNEVWA n Luambe River a NTHITIMILA Main Road u L National Park Most Affected KAMIMBA LUKUSUZI Not affected

CHIBANDE Nsefu DIWA

N

80 0 80 Kilometers

63

MAMBWE DISTRICT Most affected areas

NSEFU JUMBE a w

g M s n L a a u u n L p

d a il n e d MNKHANYA e

CHIPAPA MPHOMWA KAKUMBI MCHEKA CHIKOWA

Rivers. MALAMA Main road MSORO Other road Most Affected Not Affected

MDIMA KASAMANDA

N

0 40 Kilometers

NYIMBA DISTRICT Flood Affected Areas

CHINSIMBWE LUANGWA

KATIPA

CHINAMBI VIZIMUMBA To Petauke LW EZI NYIMBA NGOZI River Main Road KALIWE Most affected CHAMALILA Not Affected MOMBE CHIWEZA

To Lusaka N

0 80 Kilometers

64

KAFUE DISTRICT Flood Affected Areas

Chinyana Nakachenje Nyemba

Namalombe

Chilongol Chilanga Kafue Flats Chikupi Mungu Malundu Chiawa Kansenje Kambale Matanda

Rivers Major river Wetlands Most affected Not Affected N

0 50 Kilometers

LUANGWA DISTRICT Most Affected Areas

Mankhokwe

Kaunga Mwaliwa Chikoma L u Mburuma a n g Katondwe w a riv Major rivers Lunya e Streams r Hills Most affected Chiriwe Not Affected Kapoche Kabawo Mphuka

Mukalivu Phwazi

Dzalo mbezi Za river

N

30 0 30 Kilometers

65

MASAITI DISTRICT Most Affected Areas

MWATISHI

MAJALIWA

LUMANO CHONDWE MIPUTU Rivers CHILULU KATUBA Railwayline SHIMIBANGA Main road Most Affected MISHIKISHI Not Affected MUTABA

MIENGWE CHINONDO

ISHITWE

KALWEO

N

0 60 Kilometers

66

CHAVUMA DISTRICT Most Affected Areas

CHAMBI-MANDALO LINGELINGENDA CHIVOMBO - MBALANGO KAMBUYA-MUKELANGOMBE CHAVUMA CHIYEKE - KAKOMA KALOMBO -KAMISAMBA

NYANTANDA-NYAMBINGILA LUKOLWE-MUSUNGA

KANYINDA-LIKUNDA SANJONGO

NGUVU Rivers Major rivers Most affected Not Affected

N

30 0 30 Kilometers

KABOMPO DISTRICT Most Affected Areas

LUNSONGWA

KASHINAKAZHI

DIHAMBA

MANYINGA LUNYUW E

KAYOMBO CHITEVE

CHIKENGE KAW ANDA CHINKOWELO Rivers LOLOMA Main road Other rivers KATUVA Most affected Not Affected KAULA LUBI MAVEVE KAULA KABOMPO

KAMISOMBO KABULAMENA N

MUMBEJI

50 0 50 Kilometer

67

ZAMBEZI DISTRICT Most Affected Areas

LIKUNYI NYAKULENGA

LWITADI LWATEMBO CHILENGA - CHIZENZI MAPACHI CHINYINGI MUKANDA KUNDA ZAMBEZI

MWANGE CHIWENJI KASESI MUYEMBE LIYOYU CHIWENJI KASESI

MPIDI - MUMBEJI CHITOLOKI LIKUNGU Streams Major rivers MPIDI - MUMBEJI Not Affected Most affected

N

0 50 Kilometers

JIMBE CHANA-CHAMUHINGA Most Affected Areas

IKELENGE KAKOMA

KASAMPULA MULUMBI MUNDWIJI KANONGESHA LUMWANA MUDYANYAMA

KAMAPANDA SAILUNGA SAMUTEBA CHISASA

CHIBWIKA Rivers major rivers Most Affected Not Affected NTAMBU

N

70 0 70 Kilometers

68

## # # # ## ## ## # # # SAMFYA DISTRICT # # # # # # # ## KAPAMBA# Most Affected Areas ## # ### # ### #KASANSA# # ## # # # # ## # # # # # MASONDE # # # # # # # # # CHINKUTILA# # # # # ## # ## ### ## KAFUMBO## ## ### KASONGOLE # # ## ## # ## ## # ## ## # ### # ## # # # ## # ## # # # # # ### # # ## # # # # # # # # # # # MBABALA # # # # # # # # # # ## # # # # # # # # # # # # # # # # ## # # # ## # # # # # # # CHIMANA## ## # # # ### ## ### # # # # ### # # # # # # # # #### # # ### # # # # # # # # # # # ###### # # # # # # # # # # # # # # # # # # ## ## # ## ## # # NKUTILA# # # ## # # ## # # # # # # # # #### ## # # # # # # # # # # # # # # # # # # LUNGA# # # # # # # # # # # # # KATANSHYA # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # # # ## # # # # # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # ## # # # # # # # # ISAMBA # # # # ## # # # ## # # # # # # # # # # # # # ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ### ## # # # # # # # # # # ## ## # ## # # #### # ## # # # Lake # # # # ## # ## # # # # # ## # # # # # ## # ## ##KAPATA# # # # # # # # Swamp # ## # ## # # # ## # # ## # # # # # # ### # # # # N# #CHETA # # Lake # # # # # # # ### # # # # # # # # Most affected # MUSABA # # # # # # # # # # Not Affected # #

# N # # # # # # ### # # ## ## # ## # ## ## ##### # # # # # # # # ## ## # ## # # # # ### # ## # ## ## ## # # 40 0 40 Kilomet

69

CHINSALI DISTRICT Most Affected Areas Itaba

Chilinda

Kaunga Malalo r i rive Lubwa Malalo sh m b e Cha Nkulungwe Chimpundu Munwakubili

Mwiche Ichingo Rivers Chibinda Most affected Buwa Major River Not Affected

Mayembe Mansha N

0 70 Kilometers

MPIKA DISTRICT Most Affected Areas Chambeshi

Lulingila Mumbumbu Mutekwa Lubansenshi Mukungwa Munikashi Lwitikila Chinama Chipempele Chibwa Lubambala Muchinga Lukulu Nachikufu

Rivers Most affected Not Affected Lulimala

Mupamadzi Chifungwe Chikwanda

N

0 100 Kilometers

70

MPULUNGU DISTRICT Most Affected Areas Lake Tanganyika

Kapembwa

Katwe Mpulungu

Chibuluma Iyendwe Mumila Vyamba

Itumbwe

L Chisha

u District boundary o River Chisha z i Most Affected Chisha Lake Not Affected

N

50 0 50 Kilometers

MUNGWI DISTRICT Most Affected Areas

Lubala Kabisha

Fibwe Mpanda

Chamfubu Iyaya

Fube

Kalungu Rivers Ngulula Most affected Mungwi Not Affected

Chambeshi

Mfinshe N

0 50 Kilometers

71

ISOKA DISTRICT Most Affected Areas

Mukulila Nsansamwenje Mpungu

Kantensha Kapililonga Nkombwa Kasoka Ntonga

Milonga Mafinga Thendele Mukutu Streams Kakoma Major river Most affected Not Affected

Kalonga Luhoka

N

0 50 Kilometers

KAPUTA DISTRICT Most Affected Areas

Munkonge Nsumbu Mowa Mwawe

Kaleulu Chisela Munwa Chipili

Kakusu Kapinda Nkota Rivers Kashikishi Lake Mwembeshi Most affected Not Affected Fungwa

Mukubwe Kalungwishi Chiyulundu Mofwe Chubo N

0 60 Kilometers

72

LUWINGU DISTRICT Most Affected Areas

Chulungoma

Namunkolo Masonde Kampemba Ipusukilo Mufili

Mwelawamano Chifwele Katilye Kamfinsa

Isansa Ilambo Lwata Mushinga Ibale Bwalinde Mushituwambo Kaela

Itandashi Isangano

N

Rivers Not Affected 60 0 60 Kilometers Most affected

73

SESHEKE DISTRICT Most Affected Areas

KAMANGA NAWINDA LWAMULOBA

LUAMPUNGU SICHILI Major river MULOBEZI Big river Most affected Not Affected MACHILE MUSHUKULA KALOBOLELWA LUAZAMBA IMUSHO MAGUMWI LUANJA SANGOLONGA N MAONDO MULIMAMBANGO MABUMBU

70 0 70 Kilometers

SHANGOMBO DISTRICT Z Most Affected Areas a m b e zi MULONGA ri ver

SIMU KALONGOLA

NALWASHI

MBETA SIPUMA

BESHE SIKABENGA

KAUNGA-MASHI SIOMA Big rivers Dambo MUTOMENA Most affected Not Affected

MUFULANI N

50 0 50 Kilometers

74

LUKULU DISTRICT Most Affected Areas

KAKWACHA

LUPUI LUTEM BWE DONGWE KASHIZHI KASHAMBA KAMILENDE MITETE SIMAKUMBA LUANCHUMA MATALA KANG'OTI LUANCHUMA KAWAYA

NYAALA LUKAU MBANGU Streams.shp LIKAPAI Most affected Not Affected

N

0 90 Kilometers

KAOMA DISTRICT Most Affected Areas

LALAFUTA

MANGANGO

LUAMBUWA MUSHWALA SHITWA SHIKOMBWE NKENGA NAMAFULU NAMILANGI NKEYEMA MBANYUTU NALIELE

LUI LUAMPA

NAMANDO LITOYA MULWA

Rivers Not Affected Most affected NYAMBI

N

40 0 40 Kilometers

75

KALABO DISTRICT Most Affected Areas

LIKULUNDUNDU KUULI NENGU

MUTALA SISHEKANU LWANBI LICHA MWENYI LIBONDA

LIUMENA YUKA MAPUNGU MAALA LUTWI

NDOKA Rivers TUUWA LUTWI LUKONA Dambos Major river KANDAMBO Most affected Not Affected NG'UMA

MAMBOLOMOKA N

0 90 Kilometers

MONGU DISTRICT Most Affected Areas

NDANDA

USHAA MABILI

NANGULA LIMULUNGA IKWICHI

LUI NAMBOMA

LEALUI MABUMBU

IMWIKO NAKATO KATONGO LUMBO YETA IMALYO Major rivers MBEKISE Wetlands NAMUSHEKENDE Most affected Not Affected NAKANYAA

MUTONDO

N

0 60 Kilometers

76

Senanga District - Most Affected Areas

Kataba Kambai Muoyo

Nangucha Mata

Makoka Mwanambinyi

Lyamukumba Lipuwe

Silowana Imatongo

Wanyau Sikabuli

Wetlands Naluywa Flood Most Affected Not Affected

Silwizi

N

77

ITEZHI-TEZHI DISTRICT Most Affected Areas

L u BANAMWAZE k o m e zi

a B NYAMBO d ITUMBI a n a n s g KABULUNGWE

a a u MANKUNKU L LUBANDAB Mu a nga a siya u m n

u z

b a

M Kafue N. Park MASEMU Lw ang andu LUUBWE

la a a Mus K BASANGA i Tarred road w f ga i Rivers n w lo f Izan u a g Most Affected L e K Major river ga Choma Dam un a K National park K anye le MBILA Not Affected LUCHENA ha N Kas a n z h i l a nsi Winsiwi gu in az Si N

0 60 Kilometers

MAZABUKA DISTRICT Most Affected Areas

Itebe

Mazabuka

Nakambala Lubombo Kalama Kasengo Mwanachingwala Namalundu Munenga

Nega Nega Chizobo Nansenga Ngwezi Chitete Munjile Upper Kaleya

Chivuna

Mabwetuba Malala Major road Konkola Wetlands Most affected Not Affected N

40 0 40 Kilometers

78

NAMWALA DISTRICT Most Affected Areas

KANTENGWA

BAAMBWE NAMWALA CENTRAL

MAALA

KABULAMWANDA CHITONGO KAKUWEZA/NGABO

MBEZA NAKAMBOMA Main road NDEMA Wetlands Rivers Most affected Not Affected

NAMAKUBE

MOOBOLA

N

30 0 30 Kilometers

79