UGA_2019_RIMA_v01_EN_M_v01_A_OCS DDI_UGA_2019_RIMA_v02_EN_M_v02_A_OCS_FAO Ellestina Jumbe Office of Chief Statistician Nesstar Publisher UGA_2019_RIMA_v02_EN_M_v02_A_OCS_v02 Resilience Index Measurement and Analysis 2019 RIMA 2019 UGA_2019_RIMA_v02_EN_M_v02_A_OCS Food and Agricultural Organization of the United Nations Office of the Prime Minister of Uganda Food and Agricultural Organization of the United Nations United Nations Children's Fund World Food Programme Office of the Prime Minister of Uganda Uganda Bureau of Statistics Inter-Governmental Authority on Development United Nations High Commissioner for Refugees Nesstar Publisher European Union Food and Agriculture Organization of the United Nations United Nations Central Emergency Response Fund FAO RIMA Team Other Household Survey [hh/oth] In order to make the progressive Uganda refugees policy successful in the medium- and long-term, the refugees’ response needs to facilitate their inclusion in the country’s development agenda. No longer focusing exclusively on short-term, life-saving interventions, the response should act as a vector for refugees’ integration in the economy; improving management of land, water and natural resources; exploiting the socio-economic opportunities associated with the refugees’ presence, skills and development; and strengthening the hosting districts’ capacity to absorb and manage these resources. The positive impact would affect refugees, host communities and hosting districts alike, thus moving towards social and economic integration. In August 2017, FAO was asked by the Commissioner for Refugees (Office of the Prime Minister of Uganda, OPM) to support the implementation of a socio-economic analysis within the refugees’ settlements and host communities, with the aim of providing a comprehensive assessment of the current state of the refugees’ food security, well-being and resilience. Although refugees in Uganda are given land and mobility rights, their food security remains low, with a high dependency on food aid. The assumption was that by better understanding refugees’ preferences and livelihoods strategies which determine their resilience, it would be possible to unlock the development potential of the land, increase productivity and help them achieve independence and self-reliance. The Uganda 2019 Resilience Index Measurement and Analysis (RIMA) measures the food security and resilience of refugees and host communities in Northern Uganda. The survey was administered between November and December, 2019. Uganda Regional coverage Households Refugees and host community households (Households living near settlements). Sample survey data [ssd] The description of scope for the survey includes: - Socio-demographic characteristics of households; - Food security, including a detailed food consumption module, and well-being; - Shocks, assistance, perceived resilience capacity, coping strategies and aspirations; - Access to basic services; - Employment; - Agricultural and livestock production, comprising questions regarding the land which a household owns or over which it has user rights. The sampling strategy of the second wave was to re-interview all the refugee and host households already interviewed in the first wave (between 2017 and 2019), plus new households in the Koboko district visited for the first time. The targeted sample was 6,236 households plus 300 new households in Koboko. The total number of received questionnaires is 4,027. The final panel sample is composed of 3,824 households plus 203 households interviewed in Koboko. With a target of 6,236 households, we have an attrition of 39 percent. Computer Assisted Personal Interview [capi] Section A: Household details Section B: Household Demographics Section C: Household Assets Assessment Section D: Household access to services Section E: Household expenditure and loans Section F(1): Household Crop production details Section F(2): Household vegetable production details Section F(3): Tree-based production for the last year (January 2019 – December 2019) Section N: Livestock and fishing Section G(1): Food consumption patterns Section G(2): Coping Strategies Section H: Participation in Social Networks, Training and Enterprises Section H6. Household enterprise Section W: Household Member Employment Section X: Assistance and transfers Section S: Social cohesion Section J: Shocks and hazards Section I: Adoption of new technologies, improved farming practices & climate adaptation practices Section K: Weather and climate change Section L: Climate change None The data were collected through computer-assisted personal interviewing (CAPI) with digital tablets. The use of electronic devices reduces the duration of interviews, limits errors during the interview and data entry phases, and enables the collection of geographic information system (GIS) information at the household level. The data were transmitted daily through Kobo Toolbox, a suite of software tools for data collection in challenging environments, allowing for the use of remote data control protocols. The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO FAO. Resilience Index Measurement and Analysis (RIMA), Uganda, 2019. Dataset downloaded from https://microdata.fao.org. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses anon_module_a.NSDstat 4027 10 Nesstar 200801 anon_module_b.NSDstat 24772 48 Nesstar 200801 anon_module_c.NSDstat 4027 38 Nesstar 200801 anon_module_d.NSDstat 4027 24 Nesstar 200801 anon_module_g2.NSDstat 4027 20 Nesstar 200801 anon_module_g12.NSDstat 4027 2 Nesstar 200801 anon_module_h1.NSDstat 4027 38 Nesstar 200801 anon_module_i.NSDstat 4027 46 Nesstar 200801 anon_module_j.NSDstat 4027 34 Nesstar 200801 anon_module_k.NSDstat 4027 28 Nesstar 200801 anon_module_l.NSDstat 4027 7 Nesstar 200801 anon_module_s.NSDstat 4027 10 Nesstar 200801 anon_module_w.NSDstat 4027 10 Nesstar 200801 anon_module_x.NSDstat 4027 55 Nesstar 200801 anon_module_e.NSDstat 4027 221 Nesstar 200801 anon_module_f.NSDstat 10031 141 Nesstar 200801 anon_module_g1.NSDstat 4027 360 Nesstar 200801 anon_module_h2.NSDstat 4027 521 Nesstar 200801 anon_module_h3.NSDstat 4027 108 Nesstar 200801 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 A2. District 4027 0 Adjumani 270 Arua 635 Isingiro 550 Kamwenge 284 Kikuube 261 Kiryandongo 244 Koboko 203 Kyegegwa 391 Lamwo 377 Moyo 509 Yumbe 303 A3. County 3858 0 Adjumani 76 Adjumani East 2 Adjumani east 24 Adjumani west 53 Aringa 104 Aringa North 3 Aringa South 26 Aringa south 9 Arua 2 Buhaguzi 253 Bukanga 313 Bukanga. 2 East adjumani 4 Irigbo 4 Isingiro 5 Isingiro North 41 Isingiro North. 2 Isingiro South 8 Isingiro north 110 Isingiro south 51 Itula 6 Kamwenge 7 Kibaale 122 Kibaale East 73 Kibaale east 13 Kibale 22 Kibale East 38 Kibanda 137 Kibanda North 66 Kibanda South 19 Kibanda north 7 Kikagate 5 Kiryandongo 3 Koboko 101 Koboko North 2 Kyaka 16 Kyaka 11 2 Kyaka 2 9 Kyaka North 2 Kyaka South 253 Kyaka south 91 Kyegegwa 2 Lamwo 370 Lawmo 2 Lobule 94 Lower madi 5 Madi okollo 10 Moyo 12 Mpara 2 Obongi 478 Odupi 6 Southern ward 2 Terego 75 Terego east 12 Terego west 3 West adjumani 13 Yumbe 128 adjumani 21 adjumani West 11 adjumani east 25 adjumani west 14 ayivu 4 lower madi 25 madi okollo 25 madi okolo 6 madi-okollo 2 ocea 2 odubi 5 odupi 11 pakele 4 rhino camp 2 rigbo 4 terego 268 terego east 78 terego west 14 uriama 5 west adjumani 5 yei 2 yumbe 25 A6. Is the household living in host community? 4027 0 0 1 0 No 2274 1 Yes 1753 A3b. Settlement 2274 0 Adjumani_settlement 166 Bidibidi_settlement 194 Imvepi_settlement 93 Kiryandongo_settlement 160 Kyaka II_settlement 203 Kyangwali_settlement 125 Lobule_settlement 158 Nakivale_settlement 251 Omugo_Rhino_ext_settlement 89 Palabeck_settlement 204 Palorinya_settlement 286 Rhinocamp_settlement 191 Rwamwanja_settlement 154 Household type refugee or host community 4027 0 0 1 0 No 1747 1 Yes 2280 4027 0 1 2 1 Male 1497 2 Female 2530 A16. What is the MAIN livelihood of the household: 4027 0 1 7 1 Pastoralist 19 2 Agro-pastoralist 328 3 Riverine 1 4 Fishing 26 5 Urban/Petty trade/Formal employment 169 6 Other 532 7 Crop Farmer 2952 Specify other livelihood: 486 0 0 14 00 3 Aid 29 Alcohol Brewing 1 Alcohol brewing 1 Animal production 1 Assistance 33 Bar business 1 Barber 1 Blacksmith 1 Boat maker 1 Boda Boda Rider 1 Boda boda rider 3 Boda rider 1 Boda rider of a bicycle 1 Bodaboda 1 Brick laying 1 Brick making 1 Bricks laying 1 Bulding 1 Bulsi 1 Business 5 Businessman 1 Butchery 1 Carpenter 2 Carpentry 2 Casual 2 Casual employment 6 Casual labor 2 Casual labor (digging) 1 Casual labor on farm 1 Casual laborer 5 Casual labour 12 Casual labourer 2 Casual labourers 1 Casual labouring 2 Casual laobourer 1 Casual work 5 Casual work. 1 Casual worker 27 Causal labour 2 Causal labourer 1 Causual labour 2 Cleaner at secondary school in Mukono 1 Community Leader 1 Construction 1 Contraction 1 Depend of cash assistance by UN 1 Depend on cash grant 2 Depend on cash grant of UN 1 Depend on cash grant of WFP 1 Depend on food aid 14 Depend on food ratio of UN 1 Depend on ration food 1 Depend on relief aid 1 Depend on the 31000 of LWF 1 Depends fully on donations. 1 Depends on Cash given by wfp 1 Depends on cash assistance given to them 1 Depends on cash given by WFP 1 Depends on donated food stuffs 1 Depends on the Cash given by WFP 1 Depends on the cash given by WFP 1 Depends on the relief supply 1 Driver 1 Driving transit car 1 Drug shop 2 Dry cleaner(doby) 1 Fish Selling 1 Food Aid 13 Food Ratio 1 Food aid 16 Food assistance 1 Food by UNHCR 1 Fuso driver 1 Gets aid of 29000 per month from LWF 1 Hair dresser 1 Home Brewing 1 House wife 1 Household has no source of livelihood. 1 Household survives from remittances from their children 1 Kiosk 1 Kitchen garden 1 Kitchen gardening 4 Land hiring and charcoal dealer 1 Local brewing 2 Mason 1 Masonry work by the family head Ivan. 1 Mechanic 1 Mechanic works 1 Neating table decorations 1 No activity done 1 No source of income 1 No source of livelihood 1 Non 1 None 62 None since they depend on the aid food 1 Not afarmer any more she is sick 1 Not doing anything 1 Nothing 16 Nothing done for a livelihood 1 Nothing done for a living. 1 Nothing done for income 1 Nothing done for living 1 Nothing. 1 O 1 Oo 1 Operating a drugshop 1 Painter 1 Pastoral work mainly and small farming 1 Petty traders 1 Quarrying 1 Regugee 1 Relief aid 2 Remittance 14 Remittence 5 Remittense 2 Running a grinding mill 1 Salary of UN 31000 1 School pupil 1 Seated at home 1 Sell apart of the food she get from WFP 2 Sell part of the food 1 Sell part of the food WFP give him 1 Sell part of the food she get from WFP 2 Sells charcoal 1 She has nothing todo 1 Shop business 1 Small scale business 1 Social worker 2 Stone Quarrying 1 Stone query 1 Student 2 Tailor 1 Tailoring 3 They are relying on relief aid for survival 1 They survive on food Aid. 1 Transport Business(boda boda) 1 Village health team 1 Wage\salary 1 Weaving 1 Working in Somali's homes. 1 aid 2 baker 1 builder 2 business 1 bussines woman 1 carpentry 1 counselor yinga health centre 1 doing nothing 1 firewood business 1 food aid 1 house wife 2 knitting 1 landlord 1 miller 1 no activity 4 no activity done 1 no economic activity 1 none 22 nothing 7 only rear some few poultry and a goat 1 psn an old man 1 refugee 1 rely on food ratios. 1 student 1 there is nothing they are doing 1 Unique HH id follow up survey 24768 4 13 4090 2024.771 1167.705 baseline tracking number uhhidp 24772 0 1000003 4003617 1933852.521 1005794.217 B2. What is the relation of ${name_from_earlier1} to the household head? 24753 19 1 13 1 Household head 3943 2 Wife/Husband 2559 3 Son/daughter 13638 4 Son/daughter-in-law 188 5 Father/mother 186 6 Father/mother-in-law 66 7 Sister/Brother 684 8 Sister/Brother-in-law 234 9 Grandchild 1638 10 Grandparent 84 11 Niece/Nephew 1131 12 Cousin 149 13 Other 253 Sysmiss 19 Please Specify this other relation: 123 0 0 1 Adopted 1 Adopted daughter 2 Adopted son 2 Aunt 3 Auntie 1 Brother to her husband 1 Brother's wife 1 Brothers wife 1 C 1 Care taker 1 Foster child 2 Foster son 1 Friend 1 Friend's son 1 Help 1 House helper 2 Neighbours from south Sudan 2 Nephew to the wife 1 No blood relations 5 No relationship 3 None 3 Not related 1 Orphan 1 Person 0 doesn't exist. 1 Relative 1 She's a half daughter to the household head 1 Shop attendant 1 Step Brother 1 Step Daughter 2 Step Son 1 Step daughter 12 Step father 5 Step mother 3 Step sister 3 Step son 21 StepDaughter 1 Stepson 1 The household has 11 people in total 1 This page is empty 1 Uncle 7 Wife of brother 1 Worker 1 adopted 1 aunt 1 foster child 3 friend 1 neighbors from south sudan but staying with each other 1 neighbors from sudan 1 no blood relationship 2 none 1 step brother 2 step daughter 2 step sister 1 step son 2 uncle 1 24385 0 (10-15] 3966 (15-20] 2699 (20-25] 1543 (25-30] 1275 (30-35] 1175 (35-40] 928 (40-45] 807 (45-50] 517 (5-10] 4366 (50-55] 401 (55-60] 310 (60-65] 252 (65-70] 188 (70-75] 125 (75-80] 66 (80-85] 25 (85-90] 19 90+ 7 [0-5] 5716 B4. Is ${name_from_earlier1} male or female? 24772 0 1 2 1 Male 12141 2 Female 12631 B5. What is ${name_from_earlier1}'s marital status? 12108 12664 1 3 1 Married 5884 2 No longer married 1578 3 Unmarried 4646 Sysmiss 12664 B6. What is the highest grade ${name_from_earlier1} has completed? 22762 2010 0 9 0 Never been to school 4529 1 Primary school 14159 2 Secondary school 3222 3 Tertiary school 0 4 University 0 5 Secondary school Complete 599 6 Tertiary School incomplete 182 9 University complete 71 Sysmiss 2010 21635 3137 0 19 3.638 3.405 0 5027 0.25 1 0.5 26 0.6 1 1 2417 2 2167 3 2234 4 2077 5 1948 6 1858 7 1344 8 413 9 527 10 442 11 552 12 193 13 221 14 45 15 73 16 31 17 8 18 7 19 23 Sysmiss 3137 B8. Can ${name_from_earlier1} read? 22762 2010 0 1 0 No 11771 1 Yes 10991 Sysmiss 2010 B9. Can ${name_from_earlier1} write? 22762 2010 0 1 0 No 11538 1 Yes 11224 Sysmiss 2010 B10. Is ${name_from_earlier1} Chronically ill? 22762 2010 0 1 0 No 21915 1 Yes 847 Sysmiss 2010 B13. Is ${name_from_earlier1} orphaned? 14680 10092 0 1 0 No 13044 1 Yes 1636 Sysmiss 10092 B11. What is ${name_from_earlier1} disability status? 22762 2010 1 2 1 Fully able 22103 2 Has some disability 659 Sysmiss 2010 B12. What is ${name_from_earlier1} MAIN economic activity? 14675 10097 0 13 0 None 6703 1 Farming 6232 2 Vegetable Gardening 65 3 Livestock rearing 36 4 Poultry keeping 3 5 Fishing 51 6 Pension 4 7 Remittance 319 8 Formal Employment 159 9 Business 225 10 Casual employment 358 11 Cross border trading 3 12 Other (Specify) 319 13 Petty Trade 198 Sysmiss 10097 Please Specify this other economic activity: 319 0 A student still 1 Agricultural veteran 1 Alcohol brewer 1 Alcohol seller 1 Apparently doing nothing 1 Bar business 1 Bicycle mechanic 1 Bicycle repair 1 Blacksmith 1 Boat making 1 Boda Boda 2 Boda Boda Cyclist 1 Boda Boda Rider 1 Boda Boda Riding 1 Boda Boda cyclic 3 Boda Rider 1 Boda boda 2 Boda boda Riding 1 Boda boda rider 3 Boda boda transporter 1 Boda rider 2 Bodaboda 3 Bodaboda rider 1 Bodaboda riding 1 Brewering Alcoholometers 1 Brewering alcohol 1 Brewing alcohol 2 Brick layer 1 Brick laying 1 Brick making 3 Builder 2 Building 1 Capenter 1 Carpenter 2 Carpentry 2 Casual employment 1 Casual labor 1 Casual labour 1 Casual labourer 2 Casual work 1 Casual worker 2 Causual Labor 1 Causual labor 1 Causual laborer 1 Chairman Lc.1 1 Cleaner 1 Clinical officer 1 Construction 2 Construction Work 1 Construction. 1 Crop farmer 1 Crop farming 1 Currently doing nothing. 1 Distiling alcohol 1 Driver 2 Driving 1 Driving transit cars 1 ECD Teacher 1 Eating kiosk 1 Fine Artist 1 Food Aid 4 Fuso driver 1 Get aid from LWF of 21000 per month 1 Grinding mill 1 Hair dresser 1 Hair dressing 1 Hairdresser 2 Home Brewing 2 Hotel 1 House constructer or a builder 1 House helper 2 House wife just 1 Imam 1 Just sell part of the food she get from WFP 1 Lays bricks since he is vacation 1 Livestock seller 1 Local brewering 1 Local brewing 1 Making Sambosa 1 Making bedsheets (sowing flowers on bedsheets) 1 Mason 1 Mechanic 3 Mechanical works 1 Metal fabrication 1 Motorcycle rider 1 Neating table decorations 1 None 2 Nurse 1 Owns a Butchery 1 Pastor 1 Pupil 20 Quarrying 1 Remittence 1 Saloon 2 Security guard 3 Security officer 1 Sell of produce 2 Sell part of the aid food 1 Sell part of the food WFP give 1 Sell part of the food WFP give him 1 Sell part of the food she get from WFP 1 Sell part of the food she get from. WFP 1 Sell some of the food she get from WFP 1 Soldier 1 Stone Quarrying 2 Stone crushing 1 Stone query 1 Student 119 Tailor 4 Tailoring 5 Tailoring (sowing clothes). 1 Teacher 2 Teaching at the Sunday school. 1 Teilar 1 UN money paid through post bank 1 Volunteering as a teacher 1 Water vendor 1 Welding 1 boda boda 1 brick laying 1 builder 2 carpentry 1 hair dressing 1 knitting 1 landlord 1 local leader 1 mechanic 1 miller 1 none 1 office messenger 1 pupil 1 quarrying 1 reverand 1 rope making 1 selling charcoal and firewood 1 selling of fire wood 2 student 2 tailoring 1 How many months has ${name_from_earlier1} lived in this village/town/city/settlement after your last movement? 11760 13012 0 77342779 6622.73 713207.443 In which country was ${name_from_earlier1} born? 13691 11081 1 6 1 Uganda 1872 2 South Sudan 7941 3 DRC 3266 4 Burundi 534 5 Rwanda 48 6 Other specify 30 Sysmiss 11081 Specify other country born: 30 0 ,o 1 Exists not 1 Kenya 26 N,/A 1 Tanzania 1 Does ${name_from_earlier1} have any relative still living in the country of origin? 13687 11085 0 998 0 No 3276 1 Yes 9828 998 Don't know 583 999 Refused 0 Sysmiss 11085 Do any of your relatives plan to migrate to Uganda in the next 12 months? 13676 11096 0 998 0 No 7908 1 Yes 1400 998 Don't know 4368 999 Refused 0 Sysmiss 11096 How many? 1395 23377 0 158 5.383 10.03 13686 11086 0 998 0 No 8124 1 Yes 3604 997 Not yet decided 707 998 Don't know 1251 999 Refused 0 Sysmiss 11086 Has ${name_from_earlier1} travelled to a city/urban area in Uganda for employment/work in the past year? 13691 11081 0 1 0 No 13581 1 Yes 110 Sysmiss 11081 If yes, how often in the past year? 110 24662 1 2 1 Once 45 2 More than once 65 Sysmiss 24662 Please select month(s) in which ${name_from_earlier1} travelled to a city/urban area for work 110 0 1 3 1 2 3 1 2 3 4 5 6 7 8 9 10 11 1 1 2 3 4 5 6 7 8 9 10 11 12 1 1 2 3 6 7 8 9 1 1 3 12 9 1 1 3 5 7 1 1 4 5 7 8 10 11 12 9 6 3 2 1 1 4 5 8 11 12 10 1 1 5 1 1 6 12 1 10 5 10 11 1 10 11 12 1 10 12 2 11 5 12 5 12 11 1 12 4 8 9 10 1 2 4 2 3 1 2 3 4 5 6 7 8 9 11 10 1 2 3 4 6 7 9 10 11 1 2 4 1 2 4 5 6 7 8 3 1 9 10 11 12 1 2 6 1 2 6 4 9 1 2 6 8 1 3 5 3 2 4 8 10 9 1 3 4 2 3 4 5 3 3 6 11 1 3 8 1 3 9 10 1 4 3 4 3 1 4 5 6 7 1 4 5 7 8 1 4 5 7 8 9 10 1 4 6 1 4 6 9 12 1 4 7 2 5 6 5 10 1 5 12 1 5 4 1 5 6 7 1 5 6 7 10 11 1 5 6 7 8 3 1 5 6 7 8 9 10 11 1 5 7 11 1 5 7 9 8 3 4 1 6 2 6 3 1 6 9 1 7 3 7 12 1 7 5 9 10 3 1 7 8 1 8 4 8 11 1 8 4 1 8 9 10 5 1 9 1 9 10 1 2 5 1 9 10 11 8 1 9 5 1 9 5 3 1 Has ${name_from_earlier1} travelled to his/her country of origin for the purpose of agricultural activities in the past year? 13691 11081 0 1 0 No 13663 1 Yes 28 Sysmiss 11081 If yes, why? 28 24744 1 3 1 Crop production 19 2 Livestock activity 0 3 Other specify 9 Sysmiss 24744 If yes, how often? 28 24744 1 2 1 Once a year 15 2 More than once a year 13 Sysmiss 24744 Please select month(s) in which ${name_from_earlier1} travelled to the country of origin for agricultural activities 28 0 1 1 1 2 11 12 1 1 2 12 1 11 3 11 8 1 12 5 12 11 1 2 1 12 11 10 5 6 7 8 9 1 2 3 4 5 7 8 9 10 12 1 2 9 1 4 9 8 1 5 1 5 10 1 5 6 7 8 9 10 11 12 1 6 2 1 7 1 8 2 9 1 9 10 11 5 4 6 1 9 4 2 _index 24771 1 1 25101 12459.545 7231.156 Enter household baseline tracking number: 23690 1082 8 300117625 1976597.548 3949385.009 Record the first component of the official household identification as per card: 13466 0 134 184 172 22 335 1497 387 14 429 86 441 23 457 180 457_00000 10 467 254 483 620 484 13 582 10 583 80 766 16 800 52 820 11 8_00084 1 99 1 A4934 14 A4H 915 A4R 8 A5040 10 A5085 19 A5896 5 A5897 7 A5938 7 A5939 4 A5958 10 B67 245 DLL 693 DLLL 8 DLl 15 Dll 30 FAV 5 FVA 613 FVa 7 Fva 64 HME 4 JRJ 9 LG 8 LG8 862 LM1 315 Lm1 36 O 7 PC 16 PCS 461 PCs 9 PJ9 330 PSC 1 Pc 5 PcS 7 Pcl 1 Pcs 333 Pj9 40 Psc 7 R8m 3 RIMS800 35 RM 8 4 RM1 5 RM8 1212 RM8 19 5 RM8-18 7 RM8-19 3 RM8_00075 5 RM8_00081 11 RM8_00084 6 RM8_00091 7 RM8_00095 5 RM8_00105 11 RM9 6 Rm 2 Rm1 7 Rm8 427 T28 29 WA9 501 WD7 564 WDF 4 WJ9 7 WJP 4 Wa9 155 Wd7 30 XSE 675 Xse 168 Xxx 13 dll 107 lm1 1 pJ9 14 pcs 1 pj9 183 pja 12 rm8 63 t28 7 wa9 569 wd7 394 Record the second component of the official household identification as per card: 13466 0 A2. District 24772 0 Adjumani 1985 Arua 4041 Isingiro 2647 Kamwenge 1791 Kikuube 1518 Kiryandongo 1789 Koboko 1134 Kyegegwa 2171 Lamwo 2297 Moyo 2959 Yumbe 2440 A3. County 23732 0 Adjumani 537 Adjumani East 14 Adjumani east 178 Adjumani west 395 Aringa 824 Aringa North 33 Aringa South 220 Aringa south 68 Arua 14 Buhaguzi 1475 Bukanga 1428 Bukanga. 5 East adjumani 36 Irigbo 30 Isingiro 31 Isingiro North 199 Isingiro North. 8 Isingiro South 47 Isingiro north 553 Isingiro south 293 Itula 27 Kamwenge 42 Kibaale 767 Kibaale East 470 Kibaale east 63 Kibale 113 Kibale East 289 Kibanda 937 Kibanda North 523 Kibanda South 159 Kibanda north 57 Kikagate 29 Kiryandongo 27 Koboko 483 Koboko North 11 Kyaka 88 Kyaka 11 12 Kyaka 2 44 Kyaka North 11 Kyaka South 1403 Kyaka south 514 Kyegegwa 9 Lamwo 2227 Lawmo 41 Lobule 599 Lower madi 30 Madi okollo 62 Moyo 61 Mpara 10 Obongi 2800 Odupi 49 Southern ward 25 Terego 422 Terego east 81 Terego west 18 West adjumani 109 Yumbe 1018 adjumani 154 adjumani West 84 adjumani east 191 adjumani west 111 ayivu 23 lower madi 182 madi okollo 183 madi okolo 24 madi-okollo 11 ocea 19 odubi 40 odupi 73 pakele 26 rhino camp 22 rigbo 31 terego 1657 terego east 508 terego west 108 uriama 36 west adjumani 32 yei 3 yumbe 196 A6. Is the household living in host community? 24772 0 0 1 0 No 13691 1 Yes 11081 A3a. Sub County 11081 0 Arima 12 Ariwa 225 B 8 Bihanga 226 Bihinga 8 Bishozi 21 Buhaguzi 26 Bukanga 2 Bweyal 11 Bweyala 11 Bweyale 311 Bweyale Town Council 9 Bwizi 233 Cifora 5 Ciforo 28 Cijoro 8 Congodoki 11 Gem 62 ITIL 5 Iitula 5 Irigbo 12 Isingiro Town Council 100 Isingiro Town council 39 Isingiro south 9 Isingiro town council 175 Isingiro trading center 4 Isingiro trading centre 2 Isingoro town council 6 Isinguro town council 7 Itirikkwa 6 Itirikwa 104 Itirikwa sub-county 5 Itirkwa 4 Itrinekwa 8 Itula 448 Kabweza 153 Kajaho 2 Kashumba 355 KasongaB 3 Kibanda 27 Kikagate 404 Kinyonza Ward 35 Kiryandongo 35 Koboko 11 Kochi 18 Koci 7 Kululu 109 Kyaka South 3 Kyangwali 838 Kyegegwa 429 Kyegegwa Town Council 30 Kyegegwa Town council 4 Kyegegwa town cancil 7 Kyegegwa town council 6 Labule 6 Lamwo 6 Lobole 4 Lobule 175 Lubole 2 Masha 444 Masha. 9 Mpala 24 Mpara 255 Mpoma 5 Mutunda 198 Nkoma 199 Nkoma /Katalyeba 1 Nkoma Katalyeba 19 Nkoma Ward/Katalyebwa 7 Nkoma katalyeba 33 Nkoma katalyebwa 13 Nkoma ward/Katalyebwa 14 Nkoma/ katalyeba 3 Nkoma/Katalyeba 21 Nkoma/kataleba 4 Nkoma/katalebya 6 Obongi 6 Ocea 37 Odubi 12 Odupi 183 Odupiri 8 Ogili 623 Omogo 8 Omugo 57 Pakele 77 Pakele sub-county 3 Pakelle 16 Palabeak 5 Palabeak gem 7 Palabeck gem 18 Palabeck ogili 22 Palabek 7 Palabek Gem 52 Palabek gem 96 Palabek ogili 240 Palorinya 895 Pelabek ogili 4 Ramogi 58 Rhino 16 Rhino camp 20 Rhinocamp 12 Rigbo 55 Riyonza 12 Romogi 461 Rumogi 24 Rumongi 6 Ruyonz a 11 Ruyonza 147 Sweswe 19 Town Council 3 UKUSIJONI 14 Ukusijoni 186 Uriama 44 Yh 7 adupiri 5 ciforo 19 idupi 4 irigbo 29 itirikwa 108 itririkwa 12 n 4 odobu 18 odopi 6 odupi 595 odupire 6 odupiri 8 omugo 18 oriama 62 oriamo 6 oriema 17 pakele 38 ribgo 13 ribu 6 rigbo 126 rigo 7 ukusijoni 62 ukusioji 6 uriama 355 A3b. Settlement 13691 0 Adjumani_settlement 1284 Bidibidi_settlement 1527 Imvepi_settlement 556 Kiryandongo_settlement 1176 Kyaka II_settlement 1060 Kyangwali_settlement 657 Lobule_settlement 911 Nakivale_settlement 1086 Omugo_Rhino_ext_settlement 417 Palabeck_settlement 1155 Palorinya_settlement 1593 Rhinocamp_settlement 1326 Rwamwanja_settlement 943 A6a. Parish 11081 0 Agibala 6 Agipala 12 Agojo 41 Ajipala 106 Akino 44 Aliribo 4 Aliribu 50 Anaka 247 Andampi 4 Apyeta 25 Apyetta 351 Apyette 8 Apytta 29 Awafa 6 Ayiri 181 Ayiru 5 Bidibidi 154 Bihanga 226 Bihinga 8 Bisozi 101 Bosozi 6 Buhaka 4 Buhuka 139 Bujubuli 61 Bujubure 64 Bujuburi 24 Bwekubo 4 Bwizi 233 Central Kakwokwo 8 Cokaliri 1 Dembele 28 Dembgele 28 Demgbele 7 Ewafa 93 Ewarfa 10 F 4 Imvempi 11 Imvepi 40 Invepi 24 Iyete 56 K 8 Kaberebere 55 Kabererebe 22 Kabererebere 9 Kabweza 399 Kajaho 162 Kakokwa 8 Kakokwo 43 Kakoni 24 Kakwokwo 139 Kale 33 Kali 72 Kamuri 101 Kamuri Ward 30 Kamuri ward 50 Kankingi 62 Kashumba 295 Kasonga 386 Kasonga B 14 Kasonga B Parish 9 Kasonga B parish 5 Kasonga BParish 3 Kasonga b 171 KasongaB 84 KasongaBParish 17 KasongaBparish 17 Kawa 7 Kichwabujingo 18 Kichwabunjingo 9 Kichwobujingo 11 Kinyonza 35 Kinyonza Ward 13 Kinyonza ward 26 Kisag azi 11 Kisagazi 23 Kisambya 79 Kishagazi 112 Kiyonza Ward 6 Kiyonza ward 17 Kochi 5 Kwili 8 Kyangwali 18 Kyegegwa 50 Kyegegwa Ward 18 Kyegegwa ward 8 Kyisambya 19 Kyishagazi 24 Laguar 10 Lagwer 4 Legi 12 Legu 109 Lewa 74 Lokpe 18 Lopke 7 Lubari 6 Lubaru 8 Lugbari 72 Lugeari 8 Luguar 41 Lugwa 175 Lugwar 182 Lugwer 39 Lugworo 31 Melijo 28 Mpara 3 Mugunla 19 Mujubure 8 Mungula 123 Narubungo 7 Ndapi 40 Nkoma 43 Nkoma Ward 20 Nkoma ward 28 Nyarubungo 186 Nyayarubungo 4 Nyenga 5 Obongi 5 Ocea 104 Odobu 8 Odoi 7 Onoko 156 Otumbari 32 Palorinya 349 Palorinya east 13 Parish 1 Ponyura 14 Ribgonga 112 Ribonga 125 Rugbari 4 Rukuba 43 Rukuuba 212 Ruyaga 8 Ruyanga 245 Ruyonza 8 Rwekobo 6 Rwekubo 55 Rwekubo Ward 13 Rwekubo ward 77 South ward 15 Southern Ward 141 Southern ward 204 Southernward 17 Sweswe 165 Swinga 183 Tukaleri 5 Ubbi 302 Ubi 21 Unj 7 Waka 78 Yenga 270 Yiddu 7 Yidu 14 agojo 19 akinio 128 akino 26 ayiri 82 emvepi 37 imvepi 172 invepi 25 katiko 9 katiku 226 katiku parish 8 kwiili 6 kwili 52 kwilli 31 legu 9 lewa 4 lubari 9 lubaria 5 lugbara 40 lugbare 3 lugbari 369 melijo 10 mungula 105 mvepi 7 ndaapi 10 ndapi 4 ngurua 10 ocea 49 odobu 8 odoi 4 odubu 9 okawa 18 osia 7 otumbari 35 otumburi 6 yenga 6 yiddu 4 yinga 5 A6b. Zone 13691 0 0 3 1 732 1 Belameling 42 1 Budri 21 1 budri 98 2 657 2 luru 36 2 orinya 3 2, Luru village 23 2, itipa village 2 2, luru village 14 2, morobi dringulungulu 5 2, morobi village 8 2, tank 9 11 3 657 3 ,dongo east 9 3 East 5 3 West 10 3 east 32 3 east abio 2 3 tank 111 2 3 west 52 3, dongo east 18 3, dongo west 10 37 5 3east 4 4 320 5 501 5A 185 5B 233 5a 34 5b 58 6 174 6 ofuwa 1 6 7 547 7 tank 51 6 7 tank 51 omugo 4 1 7 village 4 13 7-Mombasa 3 9 39 A 117 Agojo 102 Alere 47 Ayilo 2 103 B 469 Base Camp 4 11 Base camp 261 Base camp 2 13 Base camp II 9 Base camp zone 5 Base camp2 9 Base camp4 10 Basecamp 40 Basecamp Ibakwe 9 Basecamp iboa 7 Block 3 Orinya Village 9 Bukondo C 5 Butera 6 Bweriza 9 Bwiriza 168 Byabakora 148 Cluster 1 10 Cluster 2 7 Cluster 3 7 Cluster K 5 Cluster2 7 Cluster3 5 Dongo 5 Dongo West villages 7 Dongo vilage K 5 Dongo west village C 1 Dongo west village K 8 Eden 23 Eden6 14 Edene 6 4 F 264 4 F Kavule 10 F Mombasa 5 F-Kavule 2 F-Kilima 40 F-Kirokole 18 F-Mombasa 64 F-Mukaranga 10 F-kavule 24 F-kirokole 10 FKavule 54 FKavule/Kirima 2 FKavule/kilima 10 FKavule/kirima 7 FKilima 8 FKirima 8 FMombasa 35 Fkavule/Kilima 11 I 25 Ibakwe 38 Intambabiniga 44 Itamba biniga 5 Itambabiniga 23 Kabazana 278 Kabologota 17 Kabolongota 7 Kaborogota 81 Kaborongota 5 Kaihora 24 Kaihora C 21 Kaihora D 32 Kaihora c 22 Kakoni 58 Kakoni Zone 9 Kavule F 17 Kayihura 64 Kilima 101 7 Kilima F 18 Kilima F 109 9 Kilima.F 2 Kisambya 9 Kisura 440 Kyamagabo 22 Kyemapango A5 10 Kyembango A5 7 Kyempago C 8 Kyempango A 80 Kyempango A5 23 Kyempango B 36 Kyempango B1 29 Kyempango B3 16 Kyempango C 32 Kyempango Zone A 6 Kyempango c 18 Kyempango zone 5 9 KyempangoA 23 L2 cluster 2 8 Lobule 4 Longo East Village 2 MAJI 3 36 MAJI zone 3 22 Maaji 3 52 Mahane 20 Mahani 32 Mahega C 38 Mahega c 38 Mahega c2 3 Mahegac2 7 Maji 2 28 Maji2 9 Majji 12 Majji 2 13 Mombasa F 10 Mombasa where there is AAH 2 tank at the trading center 5 Morobi zone 2 6 Morobi zone 2 Idiwa village 6 Mukondo 209 Mukondo C 11 Mukondo b 3 Mungula 49 Mungula 1 133 Mungula 2 163 Mungula1 42 Mutunda 8 Naruguru 5 Nayarugugu 2 Nkoma 139 Ntambabiniga 22 Ntenungi 14 Ntenungi A 33 Ntenungi B 28 Ntenungi b 6 Nyabugugu 8 Nyarugugu 329 Nyarugugul 10 Nyaruguru 7 Ocea 27 Ocea 3 20 Ocea c 22 Ocea3 9 Odobu 24 Ofua 12 Ofua 4 5 Ofua zone 4 4 Ofua3 23 Omogo 2 22 Omogo 3 4 Omogo village 4 9 1 Ranch 1 603 Ranch 31 17 Ranch 37 479 Ranch I 8 Ranch1 42 Sweswe 199 Tiika 1 4 Tika 1 10 Tika zone 4 17 Tikal 1 7 Tikal 2 8 Unit 3 2 Unit 4 1 Unit _4 5 5 Zone 1 39 Zone 2 36 Zone 2 Dama 17 Zone 2 Morobi 26 Zone 2 Orinya 9 Zone 2 Orinya Village 12 Zone 3 47 Zone 3 Dongo east 24 Zone 3 East 30 Zone 3 abio Village 6 Zone 3 east 9 Zone 3 west 13 Zone 4 25 Zone 5 26 Zone 5a 52 Zone 6 6 Zone 7 50 Zone A 296 Zone B 22 Zone1 13 Zone5 11 Zone6 10 Zone7 38 aden 2 8 aden 4 8 agojo 127 arewa 16 arewa 11 9 ariaze 2 3 ayilo 23 ayilo 2 81 eden 91 eden 1 29 eden 4 15 imvepi 6 imvepi 2 8 katiku 40 katiku 1 5 katiku 3 31 katiku zone a 4 maaji 6 maaji 1 7 maaji 3 22 maaji3 12 manji 2 3 mugula 1 4 mungula 9 mungula 1 56 mungula 2 34 ocea 73 odobu 57 odubo 8 odubo ll 6 odubu 10 ofua 49 ofua 2 18 ofua 3 6 ofua 4 10 ofua 5 5 ofua 6 33 ofua zone 5 10 ofuwa 1 4 omugo 22 6 omugo 1 18 omugo 2 17 omugo 4 3 omugo 7 3 siripi 103 tiika 1 5 tika 9 tika 1 12 tika 4 10 toma 13 zone 1 17 zone 2 37 zone 2 village 20 8 zone 3 5 zone 6 12 zone 7 25 zone A 3 zone1 16 zone3 2 zone7 15 Household type refugee or host community 24772 0 0 1 0 No 11033 1 Yes 13739 A10b. Team: 24772 0 1 11 5.987 3.294 1 2656 2 3388 3 749 4 1555 5 2972 6 2098 7 2306 8 2417 9 1846 10 1773 11 3012 A10c. Interviewer's code 24772 0 ENU1 405 ENU10 4 ENU100 5 ENU101 133 ENU102 339 ENU103 471 ENU104 315 ENU105 376 ENU106 351 ENU107 192 ENU108 230 ENU109 367 ENU110 191 ENU111 42 ENU12 5 ENU13 358 ENU14 301 ENU15 335 ENU16 317 ENU17 212 ENU18 220 ENU19 392 ENU2 210 ENU20 378 ENU21 271 ENU22 271 ENU23 264 ENU24 19 ENU25 50 ENU26 28 ENU27 81 ENU28 609 ENU29 31 ENU3 220 ENU33 363 ENU34 381 ENU35 350 ENU36 461 ENU4 273 ENU42 353 ENU43 412 ENU44 305 ENU45 361 ENU46 401 ENU47 413 ENU48 380 ENU49 340 ENU5 265 ENU50 7 ENU51 280 ENU52 289 ENU53 267 ENU54 317 ENU55 309 ENU56 343 ENU57 293 ENU6 320 ENU61 282 ENU62 348 ENU63 314 ENU64 420 ENU65 331 ENU66 246 ENU67 365 ENU69 295 ENU7 322 ENU70 371 ENU71 330 ENU72 512 ENU73 349 ENU74 501 ENU75 59 ENU8 284 ENU81 457 ENU82 399 ENU83 458 ENU84 470 ENU85 62 ENU88 243 ENU89 379 ENU9 348 ENU90 257 ENU91 47 ENU92 299 ENU93 282 ENU94 259 ENU98 7 A11. Date of interview 24772 0 2018-04-05 18 2018-04-06 22 2019-12-09 952 2019-12-10 2005 2019-12-11 1966 2019-12-12 2183 2019-12-13 2219 2019-12-14 2239 2019-12-15 1120 2019-12-16 2066 2019-12-17 2472 2019-12-18 2358 2019-12-19 1827 2019-12-20 1515 2019-12-21 1068 2019-12-22 512 2019-12-23 212 2019-12-28 7 2020-01-18 6 2020-12-18 5 24772 0 1 2 1 Male 9123 2 Female 15649 A16. What is the MAIN livelihood of the household: 24772 0 1 7 1 Pastoralist 128 2 Agro-pastoralist 2372 3 Riverine 6 4 Fishing 130 5 Urban/Petty trade/Formal employment 1087 6 Other 2832 7 Crop Farmer 18217 Specify other livelihood: 2628 0 0 95 00 20 Aid 147 Alcohol Brewing 11 Alcohol brewing 8 Animal production 3 Assistance 179 Bar business 1 Barber 5 Blacksmith 1 Boat maker 6 Boda Boda Rider 6 Boda boda rider 16 Boda rider 3 Boda rider of a bicycle 1 Bodaboda 5 Brick laying 7 Brick making 1 Bricks laying 3 Bulding 4 Bulsi 5 Business 30 Businessman 13 Butchery 9 Carpenter 7 Carpentry 10 Casual 6 Casual employment 32 Casual labor 10 Casual labor (digging) 1 Casual labor on farm 8 Casual laborer 16 Casual labour 61 Casual labourer 7 Casual labourers 6 Casual labouring 14 Casual laobourer 5 Casual work 23 Casual work. 4 Casual worker 159 Causal labour 9 Causal labourer 4 Causual labour 12 Cleaner at secondary school in Mukono 2 Community Leader 7 Construction 4 Contraction 6 Depend of cash assistance by UN 8 Depend on cash grant 16 Depend on cash grant of UN 6 Depend on cash grant of WFP 12 Depend on food aid 66 Depend on food ratio of UN 7 Depend on ration food 3 Depend on relief aid 3 Depend on the 31000 of LWF 6 Depends fully on donations. 7 Depends on Cash given by wfp 5 Depends on cash assistance given to them 3 Depends on cash given by WFP 5 Depends on donated food stuffs 7 Depends on the Cash given by WFP 5 Depends on the cash given by WFP 5 Depends on the relief supply 3 Driver 4 Driving transit car 7 Drug shop 15 Dry cleaner(doby) 1 Fish Selling 5 Food Aid 43 Food Ratio 17 Food aid 72 Food assistance 5 Food by UNHCR 5 Fuso driver 7 Gets aid of 29000 per month from LWF 4 Hair dresser 3 Home Brewing 7 House wife 6 Household has no source of livelihood. 6 Household survives from remittances from their children 2 Kiosk 4 Kitchen garden 4 Kitchen gardening 22 Land hiring and charcoal dealer 7 Local brewing 13 Mason 4 Masonry work by the family head Ivan. 12 Mechanic 11 Mechanic works 4 Neating table decorations 4 No activity done 7 No source of income 10 No source of livelihood 10 Non 3 None 318 None since they depend on the aid food 9 Not afarmer any more she is sick 3 Not doing anything 4 Nothing 115 Nothing done for a livelihood 16 Nothing done for a living. 12 Nothing done for income 18 Nothing done for living 9 Nothing. 11 O 3 Oo 7 Operating a drugshop 1 Painter 1 Pastoral work mainly and small farming 9 Petty traders 5 Quarrying 5 Regugee 3 Relief aid 16 Remittance 63 Remittence 9 Remittense 3 Running a grinding mill 2 Salary of UN 31000 5 School pupil 3 Seated at home 10 Sell apart of the food she get from WFP 7 Sell part of the food 4 Sell part of the food WFP give him 7 Sell part of the food she get from WFP 13 Sells charcoal 6 She has nothing todo 14 Shop business 4 Small scale business 2 Social worker 9 Stone Quarrying 7 Stone query 4 Student 4 Tailor 6 Tailoring 23 They are relying on relief aid for survival 4 They survive on food Aid. 4 Transport Business(boda boda) 9 Village health team 5 Wage\salary 4 Weaving 12 Working in Somali's homes. 1 aid 11 baker 7 builder 18 business 1 bussines woman 6 carpentry 5 counselor yinga health centre 4 doing nothing 2 firewood business 3 food aid 3 house wife 16 knitting 8 landlord 11 miller 5 no activity 14 no activity done 10 no economic activity 5 none 125 nothing 45 only rear some few poultry and a goat 7 psn an old man 1 refugee 4 rely on food ratios. 7 student 12 there is nothing they are doing 6 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 C5. How many [Hoe] does your household own? 4027 0 0 20 2.105 1.779 0 410 1 1372 2 1124 3 483 4 270 5 168 6 80 7 56 8 26 9 8 10 19 11 3 12 3 13 1 14 1 15 2 20 1 C5. How many [Axe] does your household own? 4027 0 0 10 0.412 0.613 0 2537 1 1369 2 94 3 18 4 4 5 3 7 1 10 1 C5. How many [Spraying machine] does your household own? 4027 0 0 10 0.0598 0.322 0 3826 1 178 2 17 3 4 7 1 10 1 C5. How many [Shovel] does your household own? 4027 0 0 8 0.0544 0.334 0 3861 1 136 2 22 3 5 8 3 C5. How many [Pick-Axe] does your household own? 4027 0 0 8 0.0792 0.333 0 3745 1 259 2 19 3 1 4 1 7 1 8 1 C5. How many [Sickle] does your household own? 4027 0 0 22 0.363 0.837 C5. How many [Rake] does your household own? 4027 0 0 8 0.0914 0.337 0 3691 1 316 2 15 3 2 4 2 8 1 C5. How many [Cart] does your household own? 4027 0 0 10 0.0124 0.281 0 4011 1 9 2 2 3 1 8 3 10 1 C5. How many [Tractor] does your household own? 4027 0 0 8 0.00844 0.253 0 4021 1 2 8 4 C5. How many [Conventional Yoke] does your household own? 4027 0 0 8 0.0283 0.316 0 3954 1 62 2 6 8 5 C5. How many [Ox Plough] does your household own? 4027 0 0 8 0.0283 0.285 0 3954 1 53 2 15 3 1 4 1 8 3 C5. How many [Wheelbarrow] does your household own? 4027 0 0 8 0.0668 0.329 0 3787 1 230 2 6 3 1 8 3 C5. How many [Panga/Slasher] does your household own? 4027 0 0 12 1.024 0.941 0 1091 1 2091 2 653 3 110 4 52 5 15 6 6 7 4 8 2 10 2 12 1 C5. How many [Pruning knife/knife] does your household own? 4027 0 0 11 0.904 0.971 0 1528 1 1672 2 643 3 117 4 40 5 11 6 10 7 1 9 3 10 1 11 1 C5. How many [Water Pumps] does your household own? 4027 0 0 8 0.0117 0.173 0 3995 1 24 2 6 3 1 8 1 C6. How many [Cell phone] does your household own? 4027 0 0 785007753 194936.954 12370382.564 C6. How many [Radio] does your household own? 4027 0 0 10 0.312 0.52 0 2826 1 1163 2 32 3 3 5 1 6 1 10 1 C6. How many [Car] does your household own? 4027 0 0 8 0.00968 0.164 0 4001 1 20 2 4 3 1 8 1 C6. How many [TV] does your household own? 4027 0 0 8 0.0323 0.3 0 3930 1 89 2 3 3 1 8 4 C6. How many [Motor cycle] does your household own? 4027 0 0 8 0.0626 0.303 0 3799 1 217 2 8 3 1 8 2 C6. How many [Bicycle] does your household own? 4027 0 0 10 0.207 0.48 0 3261 1 722 2 34 3 7 4 1 8 1 10 1 C6. How many [Solar panel] does your household own? 4027 0 0 11 0.439 0.684 0 2494 1 1367 2 134 3 24 4 2 5 1 8 1 10 3 11 1 C6. How many [Fridge] does your household own? 4027 0 0 3 0.00497 0.0862 0 4011 1 13 2 2 3 1 C6. How many [Generator] does your household own? 4027 0 0 8 0.00944 0.255 0 4017 1 6 8 4 C6. How many [Cooker/stove (Electric/Gas)] does your household own? 4027 0 0 8 0.0792 0.443 0 3827 1 130 2 50 3 12 4 2 5 1 8 5 C6. How many [Iron box/Pressing Iron (for removing creases from clothes )] does your household own? 4027 0 0 8 0.105 0.355 0 3627 1 391 2 6 3 1 8 2 C6. How many [Computer/Laptop] does your household own? 4027 0 0 4 0.00596 0.097 0 4007 1 18 2 1 4 1 C6. How many [Tables] does your household own? 4027 0 0 14 0.791 1.046 0 1893 1 1468 2 475 3 101 4 35 5 37 6 9 7 1 8 3 9 1 10 2 11 1 14 1 C6. How many [Chairs/Stools/Benches] does your household own? 4027 0 0 5000 3.998 78.798 C6. How many [Bed] does your household own? 4027 0 0 10 1.15 1.342 0 1591 1 1230 2 655 3 304 4 148 5 42 6 34 7 14 8 5 9 3 10 1 C6. How many [Mattresses] does your household own? 4027 0 0 111 1.592 2.329 C6. How many [Mosquito net] does your household own? 4027 0 0 20 1.93 1.769 0 860 1 955 2 1028 3 615 4 284 5 135 6 79 7 32 8 14 9 8 10 7 11 1 12 1 13 2 15 2 17 1 18 1 19 1 20 1 C6. How many [Jerrycan] does your household own? 4027 0 0 3666 3.805 57.763 C7. What is the total arable land area owned/in general use by your household, including RENTED land? (specify units in acres)? 4024 3 0 1875 2.924 31.298 C8. How much of this land are you currently using for agriculture (specify units in acres)? 4025 2 0 103 1.303 3.539 C8b. Who in the households controls and makes MOST decisions regarding the agricultural land owned? 4027 0 1 13 1.182 0.781 1 3598 2 342 3 22 4 17 5 16 6 6 7 8 8 4 9 7 10 4 11 2 13 1 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 D1.1 Primary school 4027 0 0.001 100 1.651 2.433 D1.2. Secondary school 3963 64 0.05 3741 5.503 59.527 D1.3. Public/Private health facility [Smaller and less equiped compared to a Hospital] 4000 27 0.001 450 2.538 7.809 D1.4. Hospital 3410 617 0.02 9999 21.05 172.234 3998 29 0.01 9999 6.381 158.126 D1.6. Church/Mosque 4023 4 1e-05 500 1.294 8.714 D1.7. Petty Market 4021 6 0.0001 53 1.597 2.185 D1.7. Crop Market 3865 162 0.01 9999 5.975 160.831 D1.7. Livestock Market 2243 1784 0.05 9999 18.332 298.396 D1.8. Agric/Extension services office 2261 1766 0.01 9999 18.041 297.253 D1.9. Government office where you get weather/climate information 1606 2421 0.02 9999 30.768 431.626 D1.10. Financial services/Bank/ Money Transfer Point 3910 117 0.001 100 4.13 10.475 D1.11. Public means of transport 3992 35 0.0001 855 2.21 14.811 D1.12. Nearest Local Government office 3739 288 0.001 9999 6.548 163.598 4027 0 1 10 1 Covered pit latrine private 1672 2 Covered pit latrine shared 804 3 VIP latrine private 31 4 VIP latrine shared 30 5 Uncovered pit latrine 1194 6 Flush toilet private 1 7 Flush toilet shared 138 8 Bush 125 9 Dig and Bury 3 10 Mobile / portable toilets for refugee settlements 29 D2b. Specify other type of toilet facility: 35 3992 1 27 1 Doesn't have a toilet she shares with neighbors 1 2 Have no toilet at all. Use the neighbor's. 1 3 In complete structure 1 4 Incomplete latrine 2 5 latrine fell down due to heavy rains. 1 6 No facility, Share with neighbors 1 7 No facility, shares with neighbors 2 8 no latrine 2 9 No latrine 1 10 No latrine. Use the neighbor's. 2 11 None 1 12 not available 1 13 Not functional 2 14 not having any 1 15 Share in the neighborhood 1 16 Share with neighbours 2 17 Share with neighbours. Uncovered toilet 1 18 Share with the neighborhood 1 19 Share with the neighbours 0 20 Shared latrine uncovered 0 21 Shares toilet with neighbours. Uncovered toilet 1 22 Shares with neighbours. Uncovered toilet 2 23 Sharing with the neighbours 1 24 uncovered pit latrine 3 25 Uncovered pit latrine from they neighbor / shared 2 26 Use for the neighbors 1 27 Use the neighbor's 1 Sysmiss 3992 D3. What is the primary source of drinking water for members of your household? 4027 0 1 13 1 Piped (dwelling) 35 2 Piped public tap 1420 3 Protected Shallow well 42 4 Borehole 1797 5 Protected spring 34 6 Roof rain water 18 7 Unprotected spring 65 8 Tanker/Truck water 61 9 River/stream 169 10 Dam/pond/pan/lake 103 11 Water vendor 3 12 Unprotected/open shallow well 261 13 Other (specify) 19 D3b. Specify other primary source of drinking water: 19 0 Lake 4 Not yet ready 1 Own tap. 1 Private tank 1 Private tap 3 Public tap 1 Public water tank 1 Tap 5 Tap water 1 They buy from those who are from fetching. 1 D4. What is the secondary source of drinking water for members of your household? 4027 0 1 13 1 Piped (dwelling) 28 2 Piped public tap 755 3 Protected Shallow well 75 4 Borehole 1429 5 Protected spring 22 6 Roof rain water 246 7 Unprotected spring 79 8 Tanker/Truck water 63 9 River/stream 575 10 Dam/pond/pan/lake 343 11 11 10 12 12 348 13 13 54 Specify other secondary source of drinking water: 50 3977 1 18 1 0 8 2 00 2 3 another borehole of bock c 0 4 Borehole near the primary school 1 5 Buying Water 1 6 go to block b borehole of mungula 1 1 7 Lake 1 8 No other 3 9 No other source 4 10 No other source. 1 11 None 12 12 Nothing more 1 13 Private tap 1 14 Swamp 2 15 Tap 8 16 Tap is spoilt 1 17 The tap got spoilt 2 18 They migrate to ogili centre during dry season 1 Sysmiss 3977 D5. How long does it take you to go to and return from the primary source of water? (indicate 0.5 if in-house) 4027 0 0.001 3600 25.554 61.817 D6. Who is MAINLY responsible for collecting this water in the household? 4027 0 1 10 1 Male household head (Male heading the household) 157 2 Female household head (Woman heading the household) 680 3 Both (Household head and spouse) 201 4 Children 880 5 Other male(s) within the household 110 6 Other female(s) within the household 877 7 Jointly by male(s) and female(s) within the household 1062 8 Other male(s) outside the household 15 9 Other female(s) outside the household 26 10 Jointly by male(s) and female(s) outside the household 19 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 G1_1. How often (days) had your household had to rely on less preferred or less expensive food 4027 0 0 7 3.071 2.644 0 1041 1 373 2 579 3 506 4 231 5 270 6 146 7 881 G1_2. How often (days) had your household had to Purchase food on credit 4027 0 0 7 0.756 1.325 0 2656 1 490 2 458 3 247 4 73 5 51 6 13 7 39 G1_3. How often (days) had your household had to Borrow food, or rely on help from a relative/community 4027 0 0 7 0.724 1.247 0 2606 1 595 2 469 3 206 4 54 5 59 6 12 7 26 G1_4. How often (days) had your household had to Gather wild foods, “famine foods” or hunt 4027 0 0 7 0.589 1.345 0 3083 1 350 2 219 3 166 4 86 5 56 6 8 7 59 G1_5. How often (days) had your household had to Harvest and consume immature crops 4027 0 0 7 0.583 1.262 0 3027 1 331 2 328 3 205 4 41 5 36 6 12 7 47 G1_6. How often (days) had your household had to Consume seed stock that will be needed for next season 4027 0 0 7 0.556 1.409 0 3222 1 243 2 228 3 140 4 50 5 41 6 4 7 99 G1_7. How often (days) had your household had to Send household member elsewhere 4027 0 0 7 0.113 0.556 0 3800 1 103 2 63 3 42 4 7 5 4 6 3 7 5 G1_8. How often (days) had your household had to Limit portion size at meal time 4027 0 0 7 1.931 2.479 0 1937 1 371 2 521 3 316 4 135 5 152 6 51 7 544 G1_9. How often (days) had your household had to Reduce consumption by adults in order for small children to eat 4027 0 0 7 0.761 1.714 0 3044 1 261 2 286 3 132 4 59 5 54 6 6 7 185 G1_10. How often (days) had your household had to Reduce consumption by others so working members could eat 4027 0 0 7 0.169 0.714 0 3696 1 155 2 111 3 20 4 16 5 12 7 17 G1_11. How often (days) had your household had to Go one entire day without eating 4027 0 0 7 0.329 0.84 0 3273 1 403 2 227 3 81 4 15 5 15 6 1 7 12 G1_12. How often (days) had your household had to Reduce the number of meals in a day 4027 0 0 7 1.556 2.319 0 2250 1 387 2 457 3 243 4 111 5 110 6 39 7 430 G1_13. How often (days) had your household had to Beg for food 4027 0 0 7 0.226 0.719 0 3534 1 235 2 159 3 71 4 11 5 8 6 3 7 6 G1_14. How often (days) had your household had to Sell natural resources products (water, charcoal, firewood, etc.) 4027 0 0 7 0.234 0.895 0 3663 1 120 2 95 3 53 4 48 5 24 6 6 7 18 G1_15. How often (days) had your household had to Enrollment of children to schools which provide meals 4027 0 0 7 0.0561 0.425 0 3918 1 57 2 24 3 14 4 1 5 8 7 5 G1_16. How often (days) had your household had to Sell (small) assets 4027 0 0 7 0.0877 0.458 0 3836 1 93 2 58 3 24 4 10 5 5 7 1 G1_17. How often (days) had your household had to Bartering 4027 0 0 7 0.39 1.034 0 3334 1 258 2 205 3 124 4 33 5 51 6 12 7 10 G1_18. How often (days) had your household had to Food for work (exchange labour for food) 4027 0 0 7 0.424 1.136 0 3355 1 199 2 197 3 129 4 64 5 43 6 22 7 18 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 4027 0 0 1969 0 2 1 0 5 5 0 8 1 1 92 1 10 4 1 10 2 1 1 10 8 1 1 2 5 1 2 10 5 1 1 2 4 1 1 3 10 1 1 3 9 10 1 1 4 3 1 4 5 2 1 4 5 7 1 1 5 26 1 5 10 1 1 5 4 1 1 5 8 9 1 1 5 9 1 1 5 9 10 1 1 5 9 10 8 1 1 6 1 1 8 10 1 1 8 2 1 10 71 10 1 5 10 2 2 10 4 6 1 10 5 10 10 5 1 1 10 5 8 4 1 10 6 1 10 6 5 1 10 8 3 10 8 1 1 10 8 5 1 10 8 6 5 1 10 9 5 10 9 5 1 10 9 5 1 1 2 202 2 1 5 2 1 5 1 2 10 5 2 3 2 2 3 4 1 2 4 9 2 4 5 3 2 4 5 6 1 2 4 7 1 2 4 9 1 2 5 92 2 5 10 3 2 5 4 8 2 5 7 1 2 5 8 2 2 6 1 2 9 4 2 9 5 1 2 9 8 1 3 6 3 2 1 3 4 5 1 3 5 2 4 80 4 1 1 4 10 1 4 2 3 4 2 5 2 4 3 2 5 1 4 5 18 4 5 1 1 4 5 2 2 4 5 6 1 4 6 2 5 1007 5 1 27 5 1 10 1 5 1 10 8 1 5 1 8 2 5 10 19 5 10 1 3 5 10 1 4 1 5 10 8 1 5 10 9 1 5 2 54 5 2 1 10 1 5 2 10 2 5 2 4 2 5 3 2 5 4 14 5 4 1 1 5 6 20 5 6 1 1 5 7 1 5 8 1 5 9 3 5 9 1 1 5 9 10 5 5 9 7 1 6 69 6 1 1 6 10 1 6 2 1 6 4 3 6 4 5 1 6 5 11 6 5 1 4 1 6 5 4 2 7 2 7 2 1 8 3 8 1 1 8 10 4 8 4 6 1 8 5 1 8 5 1 1 8 9 1 8 9 10 5 1 9 16 9 1 1 9 10 13 9 10 1 1 9 10 2 1 1 9 10 5 2 9 10 5 2 1 1 9 2 3 9 2 10 1 9 3 1 9 4 1 9 5 10 9 5 2 1 9 8 5 2 1 Not participate in any network 4027 0 0 1 0 No 2051 1 Yes 1976 Community based organization 4027 0 0 1 0 No 3816 1 Yes 211 Self Help Group 4027 0 0 1 0 No 3593 1 Yes 434 Cooperative society 4027 0 0 1 0 No 4008 1 Yes 19 Farmers' association 4027 0 0 1 0 No 3853 1 Yes 174 Savings Group [VICOBA, Merry-go round, etc.] 4027 0 0 1 0 No 2624 1 Yes 1403 Farmer field schools 4027 0 0 1 0 No 3905 1 Yes 122 Marketing Association 4027 0 0 1 0 No 4019 1 Yes 8 Water Users Association 4027 0 0 1 0 No 3992 1 Yes 35 Youth Group 4027 0 0 1 0 No 3942 1 Yes 85 Church/Mosque group 4027 0 0 1 0 No 3839 1 Yes 188 H2. Did ANYONE in this household receive training in any of the following topics in the last 12 months? 4027 0 0 2782 0 1 1 0 10 1 0 2 1 0 3 1 0 4 3 0 4 5 3 1 0 4 6 1 0 6 2 0 7 3 0 7 6 5 4 1 0 8 2 0 9 1 0 9 8 1 1 53 1 10 6 1 1 2 2 1 2 4 5 4 1 2 6 1 1 3 23 1 3 4 4 1 3 4 5 1 1 3 4 5 6 1 1 3 4 5 7 8 1 1 3 4 6 1 1 3 4 7 9 1 1 3 5 8 1 1 3 6 7 2 1 3 7 1 1 3 7 5 1 1 4 20 1 4 3 1 1 4 5 3 1 4 5 6 1 1 4 5 6 7 8 1 1 4 6 1 1 4 6 5 1 1 4 6 7 1 1 4 7 1 1 4 9 1 1 5 3 1 6 6 1 6 7 5 1 1 7 2 1 7 3 1 1 7 8 1 1 7 8 6 1 1 8 1 1 8 4 1 1 9 1 10 4 10 3 4 1 10 4 2 10 4 3 1 10 9 1 10 9 8 5 4 3 1 1 10 9 8 7 6 5 1 2 3 2 1 3 4 5 6 7 8 1 2 3 1 2 4 1 2 4 5 2 2 6 4 1 2 7 2 3 127 3 1 4 3 4 7 3 4 5 6 3 3 4 5 6 9 10 1 3 4 6 1 3 4 7 1 1 3 4 9 1 3 5 3 3 5 7 1 3 5 7 1 1 3 5 7 6 1 3 6 4 1 3 6 7 5 1 3 7 5 3 7 6 1 3 7 8 2 3 9 1 4 277 4 1 7 4 1 5 6 1 4 1 7 8 1 4 10 3 4 2 1 4 3 9 4 3 1 1 4 3 1 5 7 1 4 3 5 6 1 2 1 4 3 6 7 8 1 4 5 29 4 5 2 1 4 5 2 3 7 6 1 4 5 3 1 4 5 3 6 3 4 5 3 9 1 4 5 6 3 4 5 6 3 2 4 5 6 3 8 1 4 5 6 7 1 4 5 6 7 3 1 4 5 7 6 1 4 5 8 1 1 4 5 9 2 4 6 27 4 6 3 1 1 4 6 3 5 1 4 6 5 1 4 6 5 7 1 4 6 7 1 4 6 9 2 4 7 15 4 8 6 4 8 7 1 4 8 9 2 4 9 4 4 9 6 1 1 4 9 6 5 1 5 39 5 1 2 5 3 3 5 3 6 1 5 4 7 5 4 3 2 5 4 6 3 5 4 6 7 1 5 4 7 1 5 4 7 6 1 5 6 3 1 5 6 4 2 5 7 2 5 7 6 2 5 7 8 2 5 8 3 5 9 2 5 9 4 1 6 37 6 1 2 6 3 1 6 4 14 6 4 1 2 6 4 3 2 6 4 3 5 1 6 4 5 1 6 4 8 2 6 5 3 6 5 4 1 6 5 4 1 7 8 1 6 5 4 3 1 6 5 4 3 2 1 6 7 2 6 7 3 5 1 6 7 5 4 3 9 1 6 8 3 6 8 7 4 1 7 147 7 1 1 7 1 3 1 7 1 5 1 7 1 5 6 1 7 1 8 5 1 7 2 1 7 2 4 8 1 7 3 1 7 3 1 1 7 3 4 5 1 7 4 8 7 4 6 1 7 4 8 3 1 7 5 2 7 5 1 6 4 1 7 5 4 1 7 5 4 3 1 1 7 5 6 4 1 7 6 1 1 7 6 4 1 7 6 5 2 7 8 19 7 8 1 1 7 8 3 1 7 8 5 3 2 1 7 8 9 1 7 9 2 7 9 2 1 8 51 8 1 2 8 1 3 1 8 2 1 8 3 2 8 4 2 8 4 7 1 1 8 5 1 8 6 2 8 6 1 4 1 8 6 5 4 3 2 1 1 8 7 21 8 7 1 4 5 1 8 7 3 1 8 7 3 5 1 8 9 2 8 9 10 1 8 9 4 1 9 14 9 1 3 1 9 10 2 9 10 1 3 9 10 2 1 1 9 10 3 1 9 10 5 1 1 9 3 1 9 4 4 9 5 2 1 9 6 1 9 8 1 9 8 7 1 Not participate in any training 4027 0 0 1 0 No 1226 1 Yes 2801 4027 0 0 1 0 No 3826 1 Yes 201 Use and access to climate and weather information 4027 0 0 1 0 No 3995 1 Yes 32 Management of Natural resources (water, pasture, forests etc) 4027 0 0 1 0 No 3762 1 Yes 265 Good agricultural practices 4027 0 0 1 0 No 3462 1 Yes 565 Climate Smart Agriculture 4027 0 0 1 0 No 3830 1 Yes 197 Crop pest and disease control and food safety 4027 0 0 1 0 No 3839 1 Yes 188 Business and marketing skills 4027 0 0 1 0 No 3722 1 Yes 305 Agribusiness and value addition 4027 0 0 1 0 No 3866 1 Yes 161 Livestock management(feeding etc) 4027 0 0 1 0 No 3959 1 Yes 68 Animal health(Vaccination,treatment) 4027 0 0 1 0 No 4001 1 Yes 26 Who provided the training? 4027 0 1 35 1 Lutheran World Federation 218 2 Uganda Red Cross Society 29 3 ICCO Cooperation, War Child Holland 1 4 CESVI 72 5 AVSI 44 6 Brac International 34 7 Prime Skills Foundation 2 8 AFFCAD 6 9 ACTogether Uganda & National Slum Dwellers Federation 6 10 YARID (Young Refugees for Integral Development) 0 11 KiBO Foundation 0 12 SCI, CERFORD-Norwegian Refugee Council 25 13 World Vision Uganda 83 14 VisionFund Uganda 13 15 Kabarole Research Recource Center. 13 16 International Aid Services (IAS) 1 17 Catholic Relief Services 7 18 JRS 2 19 Wageningen university & Research 0 20 UNDP 14 21 Mercy Corps 49 22 DCA 50 23 Caritas 47 24 Finnish Refugee Council 2 25 Food for the Hungry 25 26 Samaritan's Purse 15 27 Oxfam 17 28 SORUDA 12 29 Danish Refugee Council - DRC 45 30 ZOA 23 31 Save the Children 27 32 Self Helf Africa 6 33 RICE-WN 10 34 Action Against Hunger 34 35 Other (Specify) 3095 Specify other: 2035 0 /none 1 0 51 00 13 000 1 0999 1 0ffice of the prime minister 1 99 2 990 1 998 1 999 4 9999 2 A times he is not around 1 ACAV 4 ACODI 4 ACOV 7 ACOV and humanitarian Assistant Development service 1 ACTED 4 ACUV 2 ADRA 4 AFI 2 ARC 4 AVOC 1 AWR 1 Acav 2 Acholi private sector 4 Acre - alliance with communities for rural engagement 1 Adra 1 Africa Women Rising 1 African Woman Rising 3 African Women Rising 5 African women Rising 1 African women rising 27 Agetereine group 1 Agricultural extension workers 1 At school 1 BISRA 2 BRAC Foundation 1 BRAC and UN from refugee settlement 1 Bataka kwetungula group 1 Bataka kwezika 2 Bataka kwezika group 3 Beause I not go for the traings 1 Brac 1 By listening to radio 1 CBM 1 CD EFFECT 1 CEFORD 2 CPM 1 Care 1 Caritas 2 Ceford 6 Cerfort 1 Cesia uganda 1 Chairman and farmers witH in the village 1 Church 1 Ciforo sub county local government production department 1 Cpm 1 Curators 1 DAC 1 DOKITDIP 1 DR DIP 1 DRC 4 DRDIP 1 Ded, German development services, and Nicoda 1 Didn't have training 1 Didnot go 1 District Forestry department 1 District agricultural office 1 District government officials 1 Doctor deep 2 Doesn't remember 1 Doesnt remember 1 Don bosco 1 Don't remember the name of the organisation 1 Done 1 Dr Demp 1 Extension officer from subcounty 1 FAO 9 FAO, ACODI 1 FAO, ACODI, 1 FMtungane 1 Farmers folum 1 Farmers in the village 1 Farmers with in the area 1 Finn church 1 Food And Agricultural Organization 1 From the government 1 GIZ 1 GLOBAL AIM 1 Giz 2 Global AIM 1 Global Aim 1 Got training from ROCOBAO 1 Government Agency 1 Government extension workers 1 Government of Uganda 1 HADS 11 HADs 1 He does not remember 1 He doesn't know the organisation that trained him 1 He doesn't remember the name of the organization 2 His own 1 Humanitarian Assistance Development Services 1 Humanitarian Assistant Development service 5 Humanitarian Assistant Development service HADS 1 I don't know 1 I dont konw them 1 I use my own knowledge 1 ICAM 1 IRC 2 IRC@ 1 International aids services 1 JESSE 2 Just Care 1 KRC 1 KRC uganda 1 Kamu kamu farmer's group, mothers breast feeding 1 LWF 2 Ladies from Congo 1 Local church leadership 1 Local government 1 Local leaders 21 Locals within the village 2 Lokeyi saving group 1 Lwf 2 Lwf giz 1 MI is try of water and environment 1 Master Link 1 Master link sponsored by CNOOC 1 Mwezikye,AbasigyeTumanyane. 1 N. A 2 N/A 4 NAADS 1 NRC 2 NURI 5 NURU 1 NUSAF 2 Na 4 Naads 1 Never recieved any training 1 Never recieved training 3 New Jerusalem Church 1 No 7 No Training recieved 3 No applicable 1 No household member acquired any training. 1 No longer remembers 1 No organization trained them 1 No traing 1 No training 50 No training attained 1 No training attended 6 No training attended by the respondent 1 No training got 1 No training received 4 No training received by members of the household 1 No training recieved 43 No training was attended 1 No training was received 17 No training was recieved 10 No trainning 1 Non 58 None 871 None yet, though there's a planned training by an organization called Caratas 1 Not Applicable 1 Not Trained 1 Not applicable 102 Not had any training 1 Not had the training 1 Not provided 1 Not sure 1 Not trained 2 Not trained by any partner 1 Nothern Uganda rural innitative 1 Nothing 1 Nrc 1 O 22 OPM 25 Office Prime Minister 1 Office of Prime Minister 2 1 Office of the Prime Minister 46 Office of the prime Minister 2 Office of the prime minister 14 Officials from the government of Uganda 1 One 1 Oo 1 Opm 1 Own experience 1 PRELNOR 2 Palm corps 2 Palm corps/Welt hunger 1 Plam 1 Received training from Tutapona 1 Refugee law project 1 Religious leaders 1 Respondent does not remember 1 Respondent does nt remember 1 SAO Uganda 1 Samaritan Purse 1 Samaritan pursue 1 Samaritan's purse 1 Samaritans purse 1 Save the Orphans 2 Say its from UN., work with refugees 1 School 1 Seed effect 2 She can't remember the NGo 1 She doesn't remember the organisation 1 She received the training from SOS 1 TPO 4 The government of Uganda 1 The training was not there 1 They did not had training 1 They got training in salon management by SOS 1 Top moslem leaders with in the community 1 1 Trauma Training organised by Gideon Church 1 Tweyambe group 1 Tweyambe self group 1 UCOBAC 1 UWESO 1 Ucobac 1 Ucubac 1 Uganda chocolate limited 1 VISRA 1 VSLA 2 VSLA ,Bataka Kweyamba group 1 VSLA ,Bataka kweyamba saving group 1 Vicoba 1 Village Enterprise 1 Village association 1 Vsla 1 War Child Holland 1 We Farm at Ntare School in Mbarara 1 Weilt hunger 1 Welht hunger 1 Welk hunger 1 Welt hunger 3 Welt hunger and save the children 1 Welt hunger hilfe 3 Welthunger 1 Whitaker 4 Whitaker/OPM 1 White Taker 1 Whitetaker 1 World Food Programe 1 World food program WFP 1 World vision 1 acav 2 care international-uganda 1 caritas-arua 2 caritus 1 ceford 3 did not receive any training 1 drc 1 genesis group 1 international refugee committee 1 irc 1 malteser international 1 mungu 1 n.a 4 n/p 22 national agricultural research organization 1 no information has been got 1 no training 45 no trainings 1 non 3 none 144 nont applicable 1 noregan refugee council (nrc) 1 not any 2 not applicable 27 not attended any 1 not had any training 1 not had any trainings 1 not training 1 nuri 2 nuru 1 o 2 oxfam 1 training not recieved 1 uriyo 1 village farmers 1 village group 1 village saving and loan assocition (VSAL) 1 water mission 1 welt hunger 13 welt hunger (ngo) 1 welt hunger hilfe 2 3822 205 0 9999 8.02 229.519 H3. Did ANYONE in this household participate in any of the following training forums in the last 12 months? 4027 0 0 2686 0 2 1 0 3 1 0 4 2 0 6 1 1 29 1 2 2 1 2 4 2 1 3 1 1 4 5 1 4 6 7 1 4 7 1 1 6 14 1 6 7 1 1 7 1 2 18 2 1 1 2 3 4 7 1 2 3 6 1 2 4 3 2 6 2 3 4 3 1 2 1 3 4 2 3 4 5 1 3 4 6 4 3 5 1 3 6 7 1 4 317 4 1 1 4 2 2 4 3 1 4 3 6 2 4 5 7 4 5 6 2 4 6 126 4 6 1 1 4 6 2 1 4 6 3 7 4 6 7 3 4 7 1 4 7 1 1 4 7 6 2 5 82 5 1 2 5 2 1 5 6 28 5 7 1 6 540 6 1 7 6 2 1 6 2 3 4 1 6 3 2 6 3 4 1 6 4 56 6 4 1 1 6 4 3 3 6 5 10 6 5 1 1 6 5 2 1 6 7 12 6 7 2 1 6 7 4 2 7 3 7 1 2 7 4 1 Not participate in any forum 4027 0 0 1 0 No 1336 1 Yes 2691 Training sessions by Government extension workers 4027 0 0 1 0 No 3946 1 Yes 81 Courses at Agricultural Training Centers 4027 0 0 1 0 No 3987 1 Yes 40 Water user or catchment area associations 4027 0 0 1 0 No 3992 1 Yes 35 Community meetings (organized by church/village chief etc) 4027 0 0 1 0 No 3460 1 Yes 567 Farmer Field Schools (FFS) approaches 4027 0 0 1 0 No 3890 1 Yes 137 Village Savings and Loan Association (VSLA) 4027 0 0 1 0 No 3185 1 Yes 842 Advice by Community Based Animal Health Worker 4027 0 0 1 0 No 3993 1 Yes 34 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 I1. Did your household implement any of the following [Crop Production] adaptation measures in the last 12 months? 4027 0 0 2383 0 10 3 0 11 1 0 2 3 5 7 1 0 5 1 0 7 5 0 7 8 1 1 94 1 0 1 1 10 7 1 10 3 1 1 11 1 1 13 2 1 13 4 1 1 13 9 2 3 1 1 2 15 1 2 10 11 1 1 2 11 7 1 2 11 5 1 1 2 11 6 1 1 2 13 1 1 2 3 6 1 2 3 4 4 1 2 3 4 11 10 1 1 2 3 4 5 5 1 2 3 4 5 10 1 1 2 3 4 5 6 1 1 2 3 4 5 7 1 1 2 3 4 5 7 6 1 1 2 3 4 5 7 6 12 10 1 1 2 3 4 5 8 7 6 1 1 2 3 4 6 7 2 1 2 3 4 7 1 1 2 3 5 1 1 2 3 5 4 1 1 2 3 5 6 7 1 1 2 3 5 6 7 10 13 1 1 2 3 6 7 1 1 2 3 7 1 1 2 3 7 5 1 1 2 4 5 1 2 4 10 1 1 2 4 3 1 1 2 4 5 6 1 1 2 4 5 6 7 2 1 2 4 5 6 7 8 1 1 2 4 5 7 3 1 1 2 4 6 3 2 1 2 4 7 1 1 2 4 7 6 5 1 1 2 5 3 1 2 5 10 2 1 2 5 4 1 1 2 5 6 7 1 1 2 6 1 1 2 6 11 1 1 2 6 4 1 1 2 7 10 11 1 1 3 2 6 1 1 3 4 1 1 3 4 6 2 7 1 1 3 5 4 1 1 3 5 8 9 7 2 6 1 1 4 16 1 4 10 11 1 1 4 11 1 1 4 2 1 1 4 2 11 1 1 4 2 3 5 1 1 4 3 5 1 1 4 5 2 3 7 6 1 1 4 5 2 7 6 1 1 4 5 6 1 1 4 6 1 1 4 6 7 1 1 4 6 7 8 2 1 1 4 7 5 1 4 7 9 2 1 1 4 8 2 1 5 4 1 5 2 1 1 5 4 1 1 5 7 10 1 1 6 1 1 6 7 1 1 7 10 1 7 8 1 1 7 8 11 4 5 1 1 8 1 1 9 10 11 1 10 18 10 0 1 10 1 1 10 1 13 2 1 10 1 7 1 10 11 19 10 11 13 2 10 11 2 1 10 11 2 1 5 8 1 10 11 7 4 10 13 3 10 13 12 1 10 13 7 1 1 10 2 1 10 2 1 4 5 1 10 2 7 1 10 4 1 10 5 1 10 6 1 10 7 4 10 8 2 7 1 11 15 11 1 1 11 10 4 11 10 13 6 3 2 1 11 2 10 11 2 1 1 11 2 4 1 11 2 5 1 11 2 9 1 11 5 4 11 5 2 1 11 5 7 1 12 1 13 14 13 2 1 13 2 1 1 13 8 12 1 2 153 2 0 3 4 6 1 2 1 11 2 1 10 1 2 1 3 4 5 1 2 1 3 4 5 6 1 2 1 3 7 6 5 1 2 1 4 2 2 1 4 11 1 2 1 4 3 1 2 1 4 7 1 2 1 5 1 2 1 5 4 3 7 6 1 2 1 7 1 2 10 3 2 10 7 1 2 11 14 2 11 10 1 2 11 4 3 2 11 5 3 2 11 7 1 2 13 3 2 13 4 1 2 13 8 1 2 3 21 2 3 1 1 2 3 1 5 4 7 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 7 5 2 3 4 5 7 6 8 9 1 2 3 4 6 7 5 1 2 3 4 7 1 2 3 5 6 1 2 3 6 7 1 2 3 7 5 2 4 30 2 4 1 2 2 4 1 11 2 2 4 1 12 1 2 4 1 6 5 11 9 7 1 2 4 10 2 2 4 10 11 2 2 4 11 11 2 4 3 5 6 7 1 2 4 5 6 2 4 5 10 1 2 4 5 6 1 3 1 2 4 5 7 8 1 2 4 6 1 2 4 6 11 1 2 4 6 5 10 11 1 2 4 6 7 1 2 4 6 9 11 10 5 1 2 4 7 56 2 4 7 11 1 2 4 7 13 3 2 5 22 2 5 1 1 2 5 4 2 2 5 6 6 2 5 6 7 2 2 5 6 7 4 1 2 5 7 10 2 5 7 10 1 2 5 7 10 11 1 2 5 7 11 1 2 5 7 6 8 9 3 1 2 5 7 9 10 11 1 2 5 7 9 11 1 2 6 3 2 6 4 1 2 6 5 7 1 2 6 7 1 2 7 20 2 7 10 11 1 2 7 11 1 2 7 13 2 2 7 4 4 2 7 5 3 1 2 7 6 1 2 7 8 1 1 2 7 8 10 11 1 2 8 4 2 8 1 1 2 8 1 7 1 3 30 3 1 4 2 3 10 2 3 2 15 3 2 1 1 3 2 10 3 3 2 4 7 6 5 1 3 2 5 6 2 3 2 6 1 3 2 6 7 1 3 2 7 2 3 4 1 3 4 5 7 10 2 1 3 5 6 3 5 2 1 3 5 6 2 3 5 6 7 1 1 3 6 2 3 6 7 1 3 7 12 3 7 13 1 3 7 2 1 3 7 6 1 4 42 4 0 1 4 1 1 4 1 10 1 4 1 7 1 4 10 4 4 11 4 4 11 10 2 1 4 13 2 4 2 11 4 2 11 3 4 2 3 1 4 2 5 2 4 2 6 1 4 2 7 6 4 2 7 10 1 4 2 9 1 4 3 2 1 4 5 7 4 5 10 1 4 5 2 6 4 5 3 2 1 6 1 4 5 3 2 6 7 1 4 5 7 13 1 4 6 2 4 6 10 7 1 4 6 7 2 4 6 7 10 1 4 7 15 4 7 10 1 4 7 13 2 4 7 6 10 3 4 7 8 1 4 8 2 4 9 1 5 28 5 1 3 5 1 2 3 4 7 1 5 1 7 1 5 10 11 8 1 5 11 1 5 11 10 2 1 1 5 11 2 1 5 13 2 5 2 3 5 2 1 1 5 2 3 1 5 2 3 8 1 5 2 4 1 5 2 7 2 5 3 1 5 3 2 1 5 3 2 10 1 5 3 2 6 7 8 4 1 5 4 1 5 4 1 1 5 6 5 5 6 11 1 5 6 2 1 5 6 2 7 1 5 6 7 8 5 6 9 4 2 10 1 5 7 13 5 7 10 11 1 5 7 2 3 5 7 2 1 1 5 7 6 1 5 7 6 2 1 5 7 6 8 2 1 6 7 6 10 4 7 1 6 2 1 6 2 7 1 6 3 7 1 6 5 7 6 5 2 1 6 7 4 6 7 10 1 6 7 2 4 5 1 1 6 7 3 1 6 7 4 1 6 7 4 5 1 7 290 7 1 5 7 1 2 3 5 1 7 10 5 7 10 11 1 7 11 6 7 13 6 7 2 31 7 2 1 11 1 7 2 3 3 7 2 3 1 1 7 2 3 4 1 7 2 3 4 1 1 7 2 3 5 4 7 2 4 5 1 7 2 5 2 7 2 6 1 7 3 13 7 3 11 1 7 3 2 7 7 3 2 10 1 7 3 5 2 1 7 4 8 7 4 2 4 7 4 3 1 7 5 3 7 5 2 3 7 5 2 1 10 11 1 7 5 6 1 7 6 1 7 6 2 3 1 7 6 4 10 1 7 6 5 3 7 8 3 7 8 11 1 8 10 8 11 1 8 12 1 8 2 5 1 8 7 4 8 7 5 1 8 7 6 1 9 5 9 1 1 9 3 2 1 9 4 1 i1/0 4027 0 0 1 0 No 1628 1 Yes 2399 i1/1 4027 0 0 1 0 No 3696 1 Yes 331 i1/2 4027 0 0 1 0 No 3276 1 Yes 751 i1/3 4027 0 0 1 0 No 3789 1 Yes 238 i1/4 4027 0 0 1 0 No 3621 1 Yes 406 i1/5 4027 0 0 1 0 No 3730 1 Yes 297 i1/6 4027 0 0 1 0 No 3873 1 Yes 154 i1/7 4027 0 0 1 0 No 3297 1 Yes 730 i1/8 4027 0 0 1 0 No 3972 1 Yes 55 i1/9 4027 0 0 1 0 No 4005 1 Yes 22 i1/10 4027 0 0 1 0 No 3880 1 Yes 147 i1/11 4027 0 0 1 0 No 3863 1 Yes 164 i1/12 4027 0 0 1 0 No 4021 1 Yes 6 i1/13 4027 0 0 1 0 No 3971 1 Yes 56 I2. Did your household implement any of the following [Livestock Production] adaptation measures in the last 12 months? 4027 0 0 3649 0 1 1 0 4 1 0 4 5 1 0 7 3 1 35 1 0 1 1 2 3 1 3 1 1 4 2 1 4 5 1 1 4 6 1 1 5 1 1 5 4 1 1 6 1 1 6 4 5 1 2 22 2 1 5 1 2 4 8 2 4 5 1 2 5 1 2 7 3 2 8 2 3 16 3 1 8 1 3 4 5 3 5 2 3 7 1 3 8 1 4 71 4 1 1 4 2 6 4 3 6 2 4 3 7 1 4 5 10 4 5 2 1 4 5 3 1 4 5 6 2 4 5 7 2 4 6 9 4 6 8 2 4 7 9 4 7 6 2 1 4 8 5 4 8 6 2 4 8 7 1 5 21 5 0 1 5 1 1 5 4 4 5 4 2 1 5 6 1 5 7 4 5 8 5 6 18 6 1 1 6 1 8 1 6 2 2 6 4 4 6 4 8 1 6 5 1 6 7 7 6 8 1 7 31 7 2 1 7 3 1 7 3 8 1 7 4 1 7 4 3 1 7 4 5 1 7 5 2 8 17 8 5 3 8 5 3 1 1 i2/0 4027 0 0 1 0 No 370 1 Yes 3657 i2/1 4027 0 0 1 0 No 3971 1 Yes 56 i2/2 4027 0 0 1 0 No 3974 1 Yes 53 i2/3 4027 0 0 1 0 No 3992 1 Yes 35 i2/4 4027 0 0 1 0 No 3866 1 Yes 161 i2/5 4027 0 0 1 0 No 3955 1 Yes 72 i2/6 4027 0 0 1 0 No 3969 1 Yes 58 i2/7 4027 0 0 1 0 No 3956 1 Yes 71 i2/8 4027 0 0 1 0 No 3983 1 Yes 44 I3. Did your household implement any of the following [Fisheries and Aqua Culture] adaptation measures in the last 12 months? 4027 0 0 3987 0 4 1 1 26 1 2 3 1 2 3 1 1 4 2 1 2 3 2 1 2 3 1 4 0 2 i3/0 4027 0 0 1 0 No 37 1 Yes 3990 i3/1 4027 0 0 1 0 No 3994 1 Yes 33 i3/2 4027 0 0 1 0 No 4017 1 Yes 10 i3/3 4027 0 0 1 0 No 4025 1 Yes 2 i3/4 4027 0 0 1 0 No 4023 1 Yes 4 I4. Did your household implement any of the following [Integrated/Off-farm] adaptation measures in the last 12 months? 4027 0 0 3354 0 1 1 0 1 3 7 6 1 0 2 5 1 0 4 1 0 4 6 2 0 5 2 0 7 3 0 9 1 1 100 1 0 2 1 2 3 1 2 4 5 1 1 2 5 1 1 3 1 1 4 6 1 4 5 6 2 1 4 6 2 1 5 9 1 5 4 3 1 5 6 2 1 5 8 1 1 6 16 1 6 4 2 1 6 5 2 1 6 5 4 2 1 7 2 1 8 1 10 4 2 27 2 1 2 2 1 6 1 2 4 7 2 4 6 1 2 5 2 2 5 8 1 2 6 20 2 8 2 3 19 3 2 4 1 3 4 2 3 4 5 1 3 5 4 3 5 6 1 3 5 7 1 3 5 8 1 3 6 3 3 8 7 9 1 4 47 4 1 1 4 2 3 4 2 3 1 4 5 3 4 5 6 4 4 5 6 8 1 4 5 7 1 4 6 8 4 6 7 2 4 7 4 4 7 6 1 4 8 2 1 4 8 5 1 5 56 5 1 2 5 4 6 5 4 1 1 5 4 2 1 5 4 6 4 5 4 6 8 1 5 4 7 1 5 6 11 5 6 1 4 1 5 6 3 1 5 6 4 5 5 6 4 3 1 5 6 4 3 1 1 5 6 7 1 5 8 3 6 155 6 0 1 6 1 2 6 2 1 6 3 2 6 4 8 6 4 3 1 6 4 5 2 6 5 11 6 5 4 5 6 5 4 3 3 6 5 4 8 2 6 7 3 6 7 1 1 6 7 5 1 6 8 2 7 8 7 0 1 7 1 2 7 2 1 7 3 2 7 4 2 7 6 3 7 6 5 1 8 4 8 1 4 1 8 6 5 4 2 1 9 8 2 i4/0 4027 0 0 1 0 No 657 1 Yes 3370 i4/1 4027 0 0 1 0 No 3852 1 Yes 175 i4/2 4027 0 0 1 0 No 3948 1 Yes 79 i4/3 4027 0 0 1 0 No 3979 1 Yes 48 i4/4 4027 0 0 1 0 No 3869 1 Yes 158 i4/5 4027 0 0 1 0 No 3858 1 Yes 169 i4/6 4027 0 0 1 0 No 3723 1 Yes 304 i4/7 4027 0 0 1 0 No 3984 1 Yes 43 i4/8 4027 0 0 1 0 No 4001 1 Yes 26 i4/9 4027 0 0 1 0 No 4023 1 Yes 4 i4/10 4027 0 0 1 0 No 4023 1 Yes 4 Please Specify this other adaptation strategy: 4 0 Crop diversification 1 Family members decided to practise more off farm activities. 1 Mulching 1 Pastor at church 1 _index 4026 1 13 4090 2038.437 1175.047 Enter household baseline tracking number: 3832 195 8 300117625 2151932.276 5380282.409 In the last 12 months, have you or any of your household members experienced any of the following shocks (Read out) 4027 0 0 1048 0 11 1 0 11 5 14 1 0 2 1 0 6 1 1 293 1 10 2 1 10 2 1 1 11 46 1 11 12 2 1 11 12 6 1 1 11 12 8 6 1 1 11 14 1 1 11 14 6 1 1 11 15 1 1 11 2 2 1 11 2 8 1 1 11 4 1 1 11 5 2 1 11 5 2 2 1 11 5 6 1 1 11 6 1 1 11 6 8 1 1 11 7 1 1 11 7 2 1 1 11 8 5 1 1 11 9 8 2 1 12 3 1 12 11 7 6 5 10 1 1 12 14 1 1 12 8 1 1 13 5 1 13 14 5 2 1 1 13 5 1 1 14 11 2 1 14 11 5 1 1 14 15 1 1 15 9 1 2 45 1 2 10 1 1 2 10 11 1 1 2 10 5 2 1 2 10 7 2 1 2 11 9 1 2 11 6 1 1 2 11 8 1 1 2 12 1 1 2 12 5 1 1 2 4 3 1 2 4 6 1 1 2 5 14 1 2 5 10 30 1 2 5 10 11 3 1 2 5 11 3 1 2 5 6 1 1 2 5 6 10 11 1 1 2 5 6 7 8 11 1 1 2 5 6 8 2 1 2 5 6 8 11 1 1 2 5 7 10 11 1 1 2 5 8 3 1 2 5 8 10 11 1 1 2 5 8 11 1 1 2 6 8 1 2 6 11 4 1 2 6 5 1 1 2 6 5 11 2 1 2 6 7 2 1 2 6 7 8 9 10 11 14 1 1 2 6 7 8 9 14 10 1 1 2 6 8 1 1 2 6 8 11 1 1 2 7 10 1 1 2 7 11 1 1 2 8 2 1 2 8 11 3 1 2 8 11 6 1 1 2 8 12 1 1 2 8 5 1 1 2 8 5 6 11 1 1 2 9 1 1 3 5 2 1 4 6 1 4 11 4 1 4 5 4 1 4 5 11 14 1 1 4 5 6 11 1 1 4 5 6 7 11 13 1 1 5 57 1 5 10 2 1 1 5 10 8 1 1 5 11 11 1 5 11 12 1 1 5 11 13 14 1 1 5 11 14 2 1 5 11 6 14 1 1 5 11 7 2 1 1 5 11 8 3 1 5 12 1 1 5 12 11 3 1 5 12 2 1 1 5 13 2 1 5 14 11 8 6 1 1 5 14 7 1 1 5 14 8 1 1 5 14 8 11 1 1 5 15 1 1 5 2 5 1 5 2 10 1 1 5 2 8 1 1 5 2 8 11 1 1 5 2 8 9 1 1 5 4 11 1 1 5 4 3 8 1 1 5 6 16 1 5 6 11 3 1 5 6 12 2 1 5 6 13 1 1 5 6 14 13 1 1 5 6 7 2 1 5 6 7 11 13 1 1 5 6 8 10 11 9 14 1 1 5 6 8 11 2 1 5 6 8 11 13 1 1 5 6 8 9 2 1 5 6 9 11 1 1 5 7 4 1 5 7 6 1 1 5 7 9 11 1 1 5 8 9 1 5 8 11 6 1 5 8 11 12 1 1 5 8 11 12 6 14 1 1 5 8 11 14 2 1 5 8 12 11 13 14 1 1 5 8 13 1 1 5 8 14 11 1 1 5 8 4 1 1 5 8 9 1 1 5 8 9 11 2 1 5 8 9 2 1 1 5 8 9 6 1 1 5 9 1 1 5 9 11 1 1 6 36 1 6 10 1 1 6 10 11 1 1 6 11 12 1 6 11 12 1 1 6 11 5 1 1 6 11 7 1 1 6 11 8 1 1 6 12 10 8 1 1 6 12 14 1 1 6 13 2 1 6 15 2 1 6 5 8 1 6 5 11 1 1 6 5 11 8 12 1 1 6 7 5 1 6 7 11 3 1 6 7 11 9 1 1 6 7 12 1 1 6 7 8 1 1 6 7 8 10 1 1 6 7 8 9 12 1 1 6 8 5 1 6 8 10 1 1 6 8 11 3 1 6 8 14 1 1 6 8 15 1 1 6 8 7 1 1 6 9 1 1 6 9 8 11 10 1 1 7 6 1 7 11 2 1 7 11 12 9 1 1 7 12 1 1 7 12 11 1 1 7 2 1 1 7 5 11 1 1 7 6 2 1 7 8 1 1 7 9 8 11 1 1 8 18 1 8 10 1 1 8 11 5 1 8 11 12 5 1 1 8 11 12 6 5 1 1 8 11 15 1 1 8 11 6 1 1 8 2 2 1 8 5 3 1 8 5 2 2 1 8 6 1 1 9 3 1 9 8 1 1 9 8 11 1 10 11 10 1 6 1 10 11 3 10 11 12 1 14 1 10 11 14 6 1 10 11 14 6 5 1 10 11 14 6 8 15 1 10 11 8 9 1 10 14 11 1 10 15 2 10 2 1 10 2 1 5 1 10 2 6 7 1 10 5 4 10 6 1 10 6 2 1 10 8 1 10 8 6 1 10 8 9 11 6 1 11 197 11 1 6 11 1 12 1 11 1 2 2 11 1 5 6 1 11 1 5 6 7 12 1 11 1 5 6 7 13 1 11 1 6 7 1 11 10 4 11 10 12 1 11 10 5 1 11 10 6 3 11 12 4 11 12 1 1 11 12 13 1 11 12 14 6 2 1 11 12 15 1 11 12 2 1 11 12 6 5 1 11 12 7 1 5 1 11 12 7 6 10 1 11 13 4 11 13 1 5 6 1 11 13 5 1 1 11 13 8 1 11 14 4 11 14 1 1 11 14 6 1 11 14 6 5 1 11 15 12 11 2 18 11 2 1 2 11 2 5 1 11 2 6 2 11 2 6 15 1 11 4 3 11 5 9 11 5 1 2 11 5 4 1 11 5 4 2 1 1 11 5 4 6 1 11 5 6 1 11 5 8 10 6 1 11 6 26 11 6 1 1 11 6 10 2 11 6 2 2 11 6 7 1 1 11 6 7 2 3 11 6 7 5 1 1 11 6 8 3 11 6 8 14 1 11 7 2 11 7 6 1 11 7 6 1 12 1 11 8 19 11 8 10 6 1 11 8 10 6 4 1 11 8 13 1 11 8 2 2 11 8 6 2 11 8 6 2 1 11 8 9 2 11 8 9 7 1 2 1 11 9 1 11 9 6 3 12 3 12 1 7 1 12 10 1 12 10 11 6 7 1 12 11 2 12 11 10 7 14 1 12 11 13 1 12 11 14 2 1 12 11 6 7 1 12 11 7 10 6 1 12 15 1 12 6 8 1 12 6 9 10 1 12 8 3 13 13 13 1 1 13 1 6 1 13 11 1 13 5 2 13 5 6 1 13 6 2 13 6 11 1 13 6 15 1 14 9 14 1 1 14 10 11 6 1 14 11 1 14 11 10 6 2 14 11 10 6 7 1 14 11 10 7 12 6 1 14 11 10 7 6 12 1 14 11 6 10 1 14 12 10 7 11 6 1 14 12 10 7 6 1 14 12 11 10 6 7 1 14 12 11 10 7 1 14 12 11 10 7 6 5 1 14 12 11 10 9 6 7 1 14 12 11 6 1 14 15 1 14 2 1 14 5 7 11 1 14 6 1 14 6 12 7 10 11 1 14 7 1 14 8 2 1 14 9 8 6 2 1 15 69 15 1 2 15 11 2 1 15 12 1 15 2 1 15 5 8 2 1 15 6 4 15 6 2 1 15 8 1 2 220 2 1 23 2 1 11 1 2 1 11 10 5 1 2 1 12 14 1 2 1 12 7 1 2 1 5 2 2 1 5 10 4 2 1 5 10 11 2 2 1 5 4 1 2 1 6 2 2 1 6 10 1 2 1 6 11 1 2 1 6 8 10 1 2 1 8 1 2 1 8 11 1 2 1 8 5 1 2 1 9 1 2 10 2 2 10 11 6 1 2 10 11 6 12 1 2 10 5 11 1 1 2 10 5 4 1 1 2 10 5 8 1 1 2 10 6 5 1 2 10 7 1 2 10 9 8 6 11 14 1 2 11 49 2 11 1 1 2 11 10 14 1 2 11 12 14 1 2 11 14 1 2 11 5 2 2 11 6 16 2 11 6 1 1 2 11 6 14 1 2 11 6 8 5 1 2 11 8 8 2 12 14 6 11 1 2 12 7 1 2 13 1 2 14 11 1 2 14 6 1 2 14 7 6 1 2 14 7 8 1 2 14 8 6 1 2 15 9 2 15 6 3 2 15 6 9 1 2 15 9 1 2 3 1 2 4 11 5 1 1 2 4 5 1 1 2 4 6 1 2 4 7 11 1 2 4 8 11 1 2 5 17 2 5 1 8 1 2 5 10 3 2 5 10 1 1 2 5 10 11 5 2 5 10 14 1 2 5 10 8 1 2 5 11 5 2 5 11 1 1 2 5 11 6 1 2 5 12 1 2 5 4 8 10 1 2 5 6 7 2 5 6 11 8 2 5 6 12 1 2 5 6 7 1 2 5 6 7 11 1 2 5 6 8 2 2 5 6 8 9 11 15 1 2 5 6 8 9 12 1 2 5 7 1 2 5 8 3 2 5 8 10 2 2 5 8 11 5 2 5 8 11 12 1 2 5 8 9 11 10 1 2 5 9 1 2 5 9 10 1 2 5 9 11 12 1 2 6 26 2 6 1 8 1 2 6 10 2 2 6 10 5 4 1 2 6 11 28 2 6 11 1 1 2 6 11 12 4 2 6 11 12 7 1 2 6 11 7 1 2 6 11 8 9 1 2 6 12 1 2 6 12 7 11 1 2 6 14 1 2 6 15 2 2 6 15 9 1 2 6 4 8 9 5 1 2 6 5 1 2 6 5 11 1 2 6 5 12 1 1 2 6 7 7 2 6 7 10 12 14 1 2 6 7 10 5 11 1 2 6 7 11 5 2 6 7 12 11 1 2 6 8 6 2 6 8 10 11 1 2 6 8 11 14 1 2 6 8 12 1 2 6 8 7 14 1 2 6 8 9 11 14 1 2 6 9 2 2 6 9 8 2 2 7 6 2 7 11 3 2 7 11 6 1 2 7 12 1 2 7 6 1 2 7 6 10 1 2 7 6 8 1 2 7 6 9 1 2 8 18 2 8 10 1 2 8 11 10 2 8 11 1 5 1 2 8 11 12 1 2 8 11 5 1 4 1 2 8 14 1 2 8 15 6 1 2 8 5 1 2 8 5 4 10 11 1 2 8 6 2 2 8 6 11 1 2 8 6 11 10 14 12 1 2 8 7 1 2 8 9 6 1 2 8 9 7 11 14 1 2 9 4 2 9 11 2 2 9 5 1 2 9 6 4 2 9 6 12 14 1 2 9 6 15 1 2 9 6 7 1 2 9 7 15 1 2 9 8 1 2 9 8 11 1 2 9 8 11 14 6 1 2 9 8 6 1 3 2 4 12 4 11 3 4 2 6 1 4 5 3 4 5 6 3 4 5 6 8 9 10 11 1 4 6 3 5 69 5 1 16 5 1 11 3 5 1 11 12 1 5 1 11 8 14 1 5 1 13 12 1 5 1 14 11 1 5 1 6 4 5 1 6 14 1 5 1 8 1 5 1 8 11 14 1 5 1 8 13 12 11 1 5 1 8 6 1 5 1 8 9 1 5 11 15 5 11 10 6 1 5 11 14 9 2 1 5 11 6 1 5 11 6 1 1 5 11 8 1 5 11 9 8 1 5 13 2 5 15 2 5 2 2 5 2 1 8 1 5 2 12 1 5 2 13 1 1 5 2 8 1 5 2 9 8 1 5 4 3 5 4 1 1 5 4 11 8 6 12 1 5 6 4 5 6 1 1 5 6 10 11 1 5 6 11 1 5 6 11 2 1 5 6 11 8 1 5 6 11 8 9 1 5 6 2 1 5 6 7 1 5 6 7 11 1 5 6 7 13 1 1 5 6 7 8 9 11 10 1 5 6 8 10 11 3 5 6 8 10 11 14 2 5 6 8 10 11 9 1 5 6 8 11 4 5 6 8 11 14 10 9 1 5 6 8 12 11 1 5 6 8 14 1 5 6 8 9 1 5 6 8 9 10 11 14 1 5 6 9 10 11 1 5 6 9 14 1 5 7 2 5 7 8 11 1 5 8 6 5 8 1 2 5 8 11 3 5 8 11 1 1 5 8 12 1 5 8 14 1 5 8 2 1 1 5 8 9 4 5 9 11 1 5 9 11 1 14 2 1 5 9 11 12 1 5 9 8 1 1 6 92 6 1 8 6 1 11 2 6 1 5 1 6 1 5 11 2 6 1 8 1 6 10 4 6 10 11 2 6 10 12 11 1 6 10 15 1 6 11 49 6 11 1 5 1 6 11 10 12 14 5 1 6 11 12 3 6 11 14 10 1 6 11 15 2 6 11 2 1 6 11 4 10 8 9 1 6 11 7 2 1 1 6 11 8 3 6 11 8 9 1 6 12 3 6 12 11 3 6 14 3 6 14 8 1 6 15 7 6 15 1 11 1 6 15 8 1 6 15 9 1 6 2 13 6 2 11 3 6 2 11 12 1 6 2 11 14 1 6 2 14 8 1 6 2 8 1 6 2 8 9 1 6 4 1 6 4 5 2 6 5 7 6 5 1 2 6 5 4 2 6 5 4 11 1 6 7 7 6 7 11 2 6 7 11 10 14 1 6 7 11 12 1 6 7 11 12 10 1 6 7 12 2 6 7 12 11 1 6 7 12 11 10 1 6 7 2 1 6 7 8 1 6 7 8 11 1 6 7 8 11 12 1 6 7 8 9 1 6 8 17 6 8 1 1 6 8 10 11 9 1 6 8 11 6 6 8 11 10 1 6 8 11 14 1 6 8 11 9 1 6 8 12 1 6 8 14 11 1 6 8 15 2 6 8 2 2 6 8 5 1 1 6 8 7 11 1 6 8 7 11 9 14 1 6 8 7 9 11 1 6 8 9 2 6 8 9 10 11 1 6 8 9 11 2 6 8 9 11 14 1 1 6 9 1 6 9 11 2 6 9 12 1 6 9 2 1 6 9 8 2 6 9 8 11 1 7 19 7 1 2 7 1 2 1 7 11 2 7 11 1 1 7 11 12 5 1 1 7 15 2 7 2 6 7 6 1 7 6 1 1 7 6 1 5 1 7 6 8 2 1 7 8 3 7 8 1 5 12 14 1 7 8 11 2 7 8 11 6 15 1 7 8 12 1 8 143 8 1 8 8 1 11 1 8 1 11 14 1 8 1 12 1 8 1 2 2 8 1 2 6 7 10 1 8 1 5 1 8 1 5 14 9 1 8 10 2 8 10 15 1 8 11 21 8 11 14 2 6 1 8 11 15 1 8 11 2 1 8 11 6 2 1 8 12 4 8 12 6 1 8 12 6 2 11 1 8 13 2 8 13 1 1 8 14 11 1 8 14 2 1 8 15 13 8 2 1 8 2 15 1 8 2 6 1 8 5 1 8 5 1 14 1 8 5 6 1 8 6 9 8 6 1 3 5 1 8 6 1 5 1 8 6 13 1 8 6 2 1 8 6 9 1 8 6 9 11 1 8 7 2 8 7 12 1 8 7 2 1 8 7 6 9 1 8 9 4 8 9 10 11 14 1 8 9 11 5 8 9 11 15 1 8 9 4 1 8 9 5 2 1 8 9 6 2 8 9 6 13 1 8 9 7 2 1 9 11 9 11 3 9 11 1 6 1 9 15 1 9 2 15 1 9 5 6 7 8 2 1 12 1 9 6 2 9 6 8 7 10 1 9 7 1 9 8 3 9 8 1 1 9 8 11 1 9 8 14 6 1 9 8 15 1 9 8 6 1 9 8 7 1 Labels are indicated in the questionnaire. No shock experienced 4027 0 0 1 0 No 2975 1 Yes 1052 Flood 4027 0 0 1 0 No 2933 1 Yes 1094 Drought/ dry spells – water shortage for crops and livestock 4027 0 0 1 0 No 3078 1 Yes 949 Frost 4027 0 0 1 0 No 4020 1 Yes 7 Hail/ Hail stones 4027 0 0 1 0 No 3944 1 Yes 83 Strong winds 4027 0 0 1 0 No 3365 1 Yes 662 Crop diseases & pests 4027 0 0 1 0 No 3155 1 Yes 872 Livestock diseases & pests 4027 0 0 1 0 No 3801 1 Yes 226 High food prices 4027 0 0 1 0 No 3355 1 Yes 672 High input prices 4027 0 0 1 0 No 3850 1 Yes 177 Severe water shortage - for domestic use 4027 0 0 1 0 No 3816 1 Yes 211 Crop failure 4027 0 0 1 0 No 2974 1 Yes 1053 Livestock death 4027 0 0 1 0 No 3878 1 Yes 149 Storm/Hail storm 4027 0 0 1 0 No 3962 1 Yes 65 Crop damage when stored 4027 0 0 1 0 No 3891 1 Yes 136 Other shock 4027 0 0 1 0 No 3849 1 Yes 178 Specify this other shock: 178 0 0 1 Animals eat all crops like cows and goats 1 1 Crop damage due to animal destruction 1 Crop destruction by wild animals, hippopotamus in particular 1 Crop failure 1 Crop pests affecting the bananas make banana leaves dry 1 Crop theft 1 Death 5 Death of a relative 1 Death of household member 1 Death of the spouse of the house hold head 1 Death of their father 1 Delay in food aid 1 Destruction by animals 1 Diseases 1 Ebola 1 Financial crisis 3 Food supply is low 1 Gender Violence 1 Heavy rain 2 Heavy rainfall 1 Heavy rains 1 Heavy rains destroyed the mango trees 1 HeavyRains 1 1 Household head lost a father two days back 1 Household head sickness 1 Human diseases 4 Hunger that is limited food supply 1 Illness of household head 2 Illness of household member 7 Illness of household members 4 Lack of arable land 1 Lack of enough Labour, theft 1 Lack of land for cultivation 1 Land allocated is very small to support me 1 Land is still small for them to do agriculture 1 Land shortage 1 Land to cultivate is limited 1 Limited food 1 Limited job opportunities 1 Limited land 3 Limited land and also water is at times scarce 1 Limited land for cultivation 1 Limited land to cultivate 9 Limited supply of water 1 Livestock thefty 2 Long rains 4 1 Long rains affecting crops especially the beans 1 Long rains affecting the crops 1 1 Long rains destroy beans 1 Long rains destroy crops 1 Long rains that destroy the beans this season 1 Lost her mother this year in September 1 Low food prices 2 Low food prices for Simsim 1 Low prices 4 Much rain 2 Much rain destroying things 1 Much rainfall 2 Much rains 1 Much sunshine 4 Non 1 None 5 O 1 Poor seed germination 1 Poor soil 1 Prolonged rain period 1 Prolonged rain season 1 Prolonged rains 1 Rains affect crops 1 Rains affecting the beans 1 Rains affecting the crops in gardens 1 Rains destroy crops 1 Rains destroy crops in gardens 1 Rains destroy the beans 1 Rains destroy the beans in gardens 1 Rains destroy the crops from gardens like beans 1 Rains destroying the crops 1 Rains that affect the beans in the gardens 1 Rocky sandy sails suitable for agriculture 1 Shortage of Money to run Household 1 Shortage of food 1 Shortage of land 1 1 Sickness 4 Sickness of a child 1 Soils are so sandy & rocky. So are not suitable for farming completely 1 Stray animals 1 Theft 2 1 Theft of some of his livestock 1 They stole my crops from the garden 1 Thieves 3 To much sunshine 1 Too much rain 2 Too much rain affected crop yield 2 Too much rain affected the crops 1 Too much rain and sunshine 2 Too much rainfall 2 Too much rains 1 Too much sunshine 2 Water Shortage 1 Weeda 1 When he missed the food form WFP 1 crops destroyed by animals 1 crops eaten by animals 1 crops washed by rain 1 heavy rain 1 heavy rains 1 illness of household members 1 loss of their grandmother 1 rocky area 1 shortage of food 1 sickness /ilness of the house hold head 1 sickness at home 1 too much rainfall 1 J2. How would you rank the impact of [ Flood ] to the household based on the following four categories: 1094 2933 1 4 1 Minimal 73 2 Moderate 362 3 Severe 513 4 Very Severe 146 Sysmiss 2933 J2. How would you rank the impact of [ Drought/ dry spells – water shortage for crops and livestock ] to the household based on the following four categories: 949 3078 1 4 1 Minimal 38 2 Moderate 393 3 Severe 450 4 Very Severe 68 Sysmiss 3078 J2. How would you rank the impact of [ Frost ] to the household based on the following four categories: 7 4020 1 3 1 Minimal 5 2 Moderate 0 3 Severe 2 4 Very Severe 0 Sysmiss 4020 J2. How would you rank the impact of [ Hail/Hail stones ] to the household based on the following four categories: 83 3944 1 4 1 Minimal 6 2 Moderate 32 3 Severe 42 4 Very Severe 3 Sysmiss 3944 J2. How would you rank the impact of [ Strong winds? ] to the household based on the following four categories: 662 3365 1 4 1 Minimal 45 2 Moderate 178 3 Severe 388 4 Very Severe 51 Sysmiss 3365 J2. How would you rank the impact of [ Crop diseases & pests ] to the household based on the following four categories: 872 3155 1 4 1 Minimal 95 2 Moderate 395 3 Severe 335 4 Very Severe 47 Sysmiss 3155 226 3801 1 4 1 Minimal 21 2 Moderate 103 3 Severe 86 4 Very Severe 16 Sysmiss 3801 J2. How would you rank the impact of [ High food prices ] to the household based on the following four categories: 672 3355 1 4 1 Minimal 35 2 Moderate 285 3 Severe 275 4 Very Severe 77 Sysmiss 3355 J2. How would you rank the impact of [ High input prices ] to the household based on the following four categories: 177 3850 1 4 1 Minimal 10 2 Moderate 79 3 Severe 77 4 Very Severe 11 Sysmiss 3850 J2. How would you rank the impact of [ Severe water shortage - for domestic use ] to the household based on the following four categories: 211 3816 1 4 1 Minimal 13 2 Moderate 40 3 Severe 139 4 Very Severe 19 Sysmiss 3816 J2. How would you rank the impact of [ Crop failure ] to the household based on the following four categories: 1053 2974 1 4 1 Minimal 55 2 Moderate 393 3 Severe 467 4 Very Severe 138 Sysmiss 2974 J2. How would you rank the impact of [ Livestock death ] to the household based on the following four categories: 149 3878 1 4 1 Minimal 17 2 Moderate 53 3 Severe 66 4 Very Severe 13 Sysmiss 3878 J2. How would you rank the impact of [ Storm/Hail storm ] to the household based on the following four categories: 65 3962 1 4 1 Minimal 7 2 Moderate 25 3 Severe 29 4 Very Severe 4 Sysmiss 3962 J2. How would you rank the impact of [ Crop damage when stored ] to the household based on the following four categories: 136 3891 1 4 1 Minimal 13 2 Moderate 56 3 Severe 60 4 Very Severe 7 Sysmiss 3891 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 K1. Do you receive any scientific weather information or forecasts? 4027 0 0 1 0 No 3382 1 Yes 645 K2. How do you use weather and climate information? 645 3382 1 3 1.305 0.596 1 494 2 105 3 46 Sysmiss 3382 K3. In your view, is that weather information useful for you in your livelihood? 645 3382 0 1 0 No 123 1 Yes 522 Sysmiss 3382 K3.1 How is the information useful? Describe. 521 A farmer is able to prepare their land for the next season in time 1 Aeases decision making in planting 1 Agricultural purposes 1 Aids in decision making 1 Asess his agriculture plans 1 Because it helps to know how weather climate is/has changed 1 Better makes them prepared for weather calamities 1 Better planning 1 Better planning on buying seedlings 1 Changing the types of crops to grow and other businesses 1 Determine the best planting months 1 Determine the onset of rain 1 Determine when to start planting 1 Determines the planting dates 1 Determines the planting season 1 Ditermines the planting seasons 1 Ditermining the planting season to avoid losses 1 Early planting 1 Early planting time 1 Early preparation of crop production 1 Early preparations 1 Easy planning 1 Easy planning on crop production 1 Enable us as farmers to prepare for the next seasons 1 Enables her to make agriculture plans 1 Farmer can prepare his land early and be able to plant early 1 Farmers can use in telling when to plant crops 1 For Agricultural decision-making 2 For Making agriculture decisions 1 For agricultural decisions 1 For agricultural planning 1 For agricultural purposes 1 For agriculture purposes 1 For awareness, since our houses are always broken down by strong wind... 1 For being able to plan well 1 For better planning 1 For crop growing and date of planting 1 For crop production purposes 1 For deciding on when to pant crops 1 For deciding when to plant crops 1 For ealry planning 1 For early better planting 1 For early planing of planting of crops 1 For easy adjustment of crop planting and digging 1 For easy planning 1 For farming 1 For guiding against the wind and flood destructions 1 For knowing when to plant crops 1 For making agricultural decisions 2 For making agricultural implementation decisions 1 For making agriculture decisions 17 For making agriculture decisions especially planting seasons. 1 For making agriculture reasons 1 For planing when to plant the crops 1 For planning 2 For planning and preparetions 1 For planning for the season 1 For planning purooses 1 For planning purposes 2 1 For planning when to plant 1 For planting crops 1 For planting decisions 1 For predicting the planting season 1 For production purposes 1 For proper agriculture preparation 1 For proper planning 2 For proper planning of agriculture 1 For proper planning of the agricultural production 1 For proper planting 1 For safety purposes 1 For taking care of life 1 For the purpose of knowing weather patterns 1 For timely planting 1 Forecasts every day weather and climate change 1 Forecasts the future planting 1 Forecasts the planting season 2 Get to know the planting season 1 Getting to know seasons 1 Got better yields 1 H 1 Has helped in determining which crops to grow in a given season. 1 He mentioned that it helps prepare him for agriculture. 1 He understands when to make decisions. 1 He was able to prepare his land for planting in time 1 Help plan on planting 1 Help plan on when to plant crops 1 Help plan planting time 1 Helped in planning when to start planting 1 Helping in determining the planting season. 1 Helps determine the planting season 1 Helps ditermines the planting season 1 Helps farmer and the household to be ready for any shocks if they encounter and planning on what to plant in the season 1 Helps farmers plan for planting season 1 Helps for planning 1 Helps her to know when the planting seasons will begin. She receives this information from radio 1 Helps him plan on when to plant 1 Helps him to know the planting season 1 Helps him to plan for his agriculture activities 1 Helps if one is planning on what to plant 1 Helps in advising us what crops to be planted in case the weather changes 1 Helps in choosing which dates to plant 1 Helps in deciding what to plant 1 1 Helps in determining the crops to plant in a given season. 1 Helps in determining the crops to plant. 1 Helps in determining the different crops to be grown in a given season. 1 Helps in determining the different crops to plant in a given season 1 Helps in determining the particular crop to grow 1 Helps in determining the planting period and which crops to grow in the different seasons. 1 Helps in determining the planting season 2 Helps in determining the time of planting 1 1 Helps in determining what crops to plant 1 Helps in determining what to plant 1 Helps in determining what to plant in a particular season 1 Helps in determining when to plant. 1 Helps in determining which crops to grow in a given season. 1 Helps in early planning 1 Helps in early planting in case rains are announced 1 Helps in early planting planning 1 Helps in future planting 1 Helps in future planting decisions 1 Helps in knowing the right time for planting 1 Helps in knowing the rightful planting time 1 Helps in knowing what to plant 1 Helps in making agricultural decision 1 Helps in making agricultural decisions, like early or late planting 1 Helps in making decision on what to plant and also what to put on. 1 Helps in making farming decisions 2 Helps in making planting dates 1 Helps in making planting decisons about planting 1 Helps in planning for planting 1 Helps in planning for the planting season 1 Helps in planning for their planting season 1 Helps in planning purpose 1 Helps in planning the planting season 2 Helps in planting 1 Helps in planting the resistant crops 1 Helps in planting timely 1 Helps in predicting drought conditions 1 Helps in proper planting time 1 Helps in the agricultural planning for a given season 1 Helps know e seasons and plan better as a farmer 1 Helps know how the rains will be to help in preparation of planting 1 Helps me her know when to plant what 1 Helps me know what crops to plant 1 Helps me know when to put my seeds on the ground 1 Helps me know wnen to plant my crops 1 Helps me not waste my seedlings and plant at right time 1 1 Helps me on planning for the season 1 Helps me on when to plant 1 Helps me to decide which crops to grow 1 Helps me to know when am to plant my crops 1 Helps me to know when to plant 1 Helps me to plan on when to plant 1 Helps me to prepare the land for cultivation early 1 Helps me to understand when to plan and to plant my crops. 1 Helps on planning for the agricultural season 1 Helps on when to plant 2 Helps one know weather changes and plan for timely field preparation and planting 1 Helps one to plan on agriculture 1 Helps person determine what crop to plant 1 Helps person on what to plant and when to plant 1 Helps the community to plan for the season ahead. 1 Helps them to determine the planting time 1 Helps them to know when to start planting and when the rains will stop 1 Helps them to know when to start planting their crops 1 Helps to determine when to start planting crops 1 Helps to forecast what is going to happen 1 Helps to know on what best to plant and when to do so 1 Helps to make decision on when to sow 1 Helps to make you set your land for cultivating 1 1 Helps to plant early in time 1 Helps to plant in time 1 Helps to prepare you incase there is drought one stocks food or even move to another place incase of floods 1 Helps us in timely planting 1 Helps us know the planting dates 1 Helps us to know what to plant 1 I did not rush my seeds to the field when I hard there was going to be extended drought in my area 1 Identify when to plant 1 In decision making concerning crops to grow 1 In order to start digging 1 In reducing types of animals kept and planting early 1 It always helps me know when to start my faming activities. 1 It avoids late planting 1 It can help farmers to plan better for their agricultural activities 1 It can help him not to be alert in case of disasters 1 It determines the amount of rainfall 1 It determines the cultivation of crops 1 It forecasts the future climate and weather changes. 1 It forecasts the future climate change and how to go about it 1 It forecasts the future especially about weather changes 1 It forecasts the planting season 1 It forecasts the planting season and for how long the rain will take. 1 It has guided me to know more about climate change and the causes 1 It has helped to determine when start growing crops and know how long the seasons will be 1 It help future planning. 1 It helped him to know right time for rains 1 It helps avoid crop losses due to poor climate 1 It helps farmers not to make much losses especially during dry season 1 It helps her to know when to start cultivating. 1 It helps him in planning the planting season 1 It helps him plan accordingly on which crops to grow 1 It helps improve on the faming 1 It helps in decision making on when to start planting and decied which kind of crop to be planted at the right time 1 It helps in determining which crops to grow so as to have maximum yields 1 It helps in knowing when to plant 1 It helps in making decisions on when to plant 1 It helps in planning especially if the forecasts say the season is short it enables them to plant early 1 It helps in planning for my household food security wise 1 It helps in planning for my season 1 It helps in planning for planting season 1 It helps in planning if you get early warning of the dry spells, you can keep food to eat in the dry season 1 It helps in planning when to plant 1 1 It helps in preventing the diseases that menifest because of early planting 1 It helps in proper planning for the season 1 It helps in terms of preparing the land and planting crops as well 1 It helps in the timing of planting crops 1 It helps me know the planting season 1 It helps me on when to plant 1 It helps me plan when to cultivate my crops 1 It helps me prepare when to start planting 1 It helps me to be ready and plan for any risk likely to occur 1 It helps me to know the growing period for crops hence increased yields 1 It helps me to know the time of harvesting crops and drying them for feature use 1 It helps me to know what to plant in the session. 1 It helps me to known the time when to plant which type of crop and when to start clearing the gardens. 1 It helps me to plan which crop to plant at which time 1 It helps me to predict drought hence take control measures 1 It helps me to predict hanger seasons and hence save food 1 It helps non knowing when it's going to shine nor not 1 It helps on choosing drought resistant crops 1 It helps on knowing when to plant 1 It helps on me on when to plant 1 It helps on planning when to plant 1 It helps on whether to plant or not 1 It helps people to harvest and dry their crops well 1 It helps people to plant crops safely without getting burnt 1 It helps plan for the crops to be grown 1 It helps the farmers t prepare their seeds. 1 It helps the farmers to know when they plant or not to and also avoid loses 1 It helps the farmers to know when to start planting their crops 1 It helps the farmers when it will be a good time for them to plant. 1 It helps them make good Agricultural decisions 1 It helps them to be prepared 2 It helps them to get prepared 1 It helps them to get prepared by tightening their roofs in the information is about strong winds 1 It helps them to make decisions 1 It helps them to modify their planting calendar for example if the forecast is about change in rainfall distribution 1 It helps to allow timely planting 1 It helps to know how to diversify crop and animal production 1 It helps to know the type and time planting crops 1 It helps to know when to plant. 1 It helps us know whether there will be drought 1 It helps us on when to plant 1 It helps us to be aware of the climatic changes which are likely to occur in the sessions and be prepared. Eg floods 1 It helps us to know the planting sessions and what to grow. 1 It helps us to know when to plant 1 It helps us to know when to start planting crops and when not plant 1 It helps us to manage climatic risks 1 It improves on agricultural production 1 It is usefu in deciding on the crop to grow 1 It is useful for planning purposes 1 It keeps them informed 1 It keeps them informed helps them to make decisions when to plant 1 It leads to timely planting 1 It makes us aware of the changes in weather and it prepares us for the next season. 1 It makes you ready to face the problem and find the solution 1 It tells me when to start planting 1 It tells me when to start planting our crops 1 It tells when to start planting our crops 1 It was useful in preparing them for the next rainy season 1 It's helps us to plan for the planting season 1 It's know whether there will be sunshine or rain 1 Its an eye opener to people to know what will happen 1 Its helps in telling us if its going to rain heavily or moderately and if the rain if good for growing crops 1 Know seasons 3 Know seasons of planting crops. 1 Know seasons,for changes 1 Know whether pattern 1 Knowing on when its going rain and start planting 1 Knowing the planting season 1 Knowing what to plant in a specific season 1 Knowing when to plant 1 Knowing when to plant what 1 Looking for other non farm businesses to do in case weather becomes a challenge 1 Makes a person to be ready for the disasters 1 Makes farm understand and take the decision what to plant 1 Makes me better prepared for the planting season so as to get high yields 1 Making agricultural decisions 1 Making agricultural decisions. 2 Modifying tne planting calender 1 Not sure 1 O 1 Plain for the type of crop to be grown. 1 Plan accordingly 1 Plan early to cultivate 1 Plan for planting time 1 Plan for shocks 1 Plan for the planting season 1 Plan on what crops to plant 1 Plan seasons for growing crops 1 Planing 1 Planing for cultovation 1 Planning 9 Planning farming activities like planting weeding garden preparation 1 Planning for planting time 1 Planning on planting. 1 Planning planting time 2 Planning purpose 4 Planning purposes 4 Planning the planting calender 1 Planning/early preparation 1 Planting dates 1 Planting decisions 1 Planting in time 5 Planting in time and storing food 1 Planting seasons to avoid losses 1 Planting variety of crops 3 Preparations 2 Prepares you for what is to come 1 Proper agricultural timing 1 Proper planning 1 Radio,talking about weather changes 1 She's able to prepare her garden for the next season in time 1 Shows daily weather either hot or cold 1 Sometimes they say somethings that are right and we make important planting decisions 1 Storing food for the family 1 Tell us about seasons 1 The information helps me decide whether or not to start planting 1 The information helps us to know the right time to plant our seeds 1 They are able to prepare their land for the season in time 1 They get to know when to cultivate. 1 This information helps me to the type of crop to grow and animals to keep 1 Timely planting of crops 1 To be able to know when the rain season will start and dry season 1 To be alert of weather updates 1 To be aware of the negative effects of the bad climate 1 To be protected from the negative sides of both much drought and rain especially crops and livestock 1 To be ready for the conditions 1 To choose the type of crops to grow 1 To determine when to begin cultivation and the amount of rainfall 1 To determine when to cultivate what crop at what time in the year 1 To get agricultural information like buying of seeds 1 To guid the farmers for proper planning 1 To have a plan 1 To help decide when to plant crop 1 To help planning for planting 1 To improve on crop yields 1 To know how the rain and dry season are starting or happening 1 To know the climatic situation 1 To know the planting date and to know whether the rain fall drop out 1 To know the real rain and dryseason partnerns 1 To know the time of planting of crops and when the rain will drop out 1 To know when the rains will be back so that I know what to plant. 1 To know when to start or not to plant crops 1 To know when to start planting my crops 1 To learn on how to protect resources 1 To make agricultural decisions 1 To make agricultural decisions. 1 To make cultivation decisions. 1 To manage the climatic conditions 1 To open the eyes of the farmers to be aware of the rain seasons 1 To plan for agriculture 1 To plan for his agriculture activities like whether to spray or not 1 To plan for planting season 1 To plan for what to plant 1 To plan on what to plant 1 To plan on when to plan 1 U plant early incase of predicted drought 1 U will know when to start planting 1 Use for planning purposes to grow crops 1 Using it to protect ourselves from effects of those shocks. 1 Weather information helps me to know when the drought is starting hence prepare for it 1 Weather information helps me to predict agricultural risks and uncertainties like crop and animal losses 1 When they have the seeds it helps them plan on when to plant and what to be planted 1 You wait to cultivate 1 aids better 1 better and adquately plan for the farming seasons 1 better planning for farming 1 chose the crops to be grown in a particular season 1 decide when to plant 1 decide when to plant crops 2 decide when to plough and plant crops 1 decision making is easy 1 depterminig when to plant crops 1 determine which crop to plant 1 easy decision making 1 easy decision making as far plantation is concerned 1 easy decision making on what and when to plant 1 enables the household choose the type of crops to grow 1 facilitates easy decision making 1 farming can be planned appropriately 1 for adjusting the crop planting and weeding times 1 for agricultural decisions making 1 for agricultural planning 1 for agriculture 1 for clearing abd ploughing gardens for the crop planting 1 for crop planting decision 1 for deciding when to plant 1 for deciding when to plant crops 3 for decision making on agriculture 1 for decision making on planting crops 1 for determining when to plant 1 for determining when to plant crops 1 for determining which crop to plant 1 for early planting 1 for know when to plant her sukumawiki and other crops 1 for knowing when to clean gardens for agricultural purposes 1 for knowing when to grow crops 1 1 for planning purpses 1 for planning when to plant and what to plant 1 for planting and weeding timing 1 for planting crops 1 for planting timing 1 helps easily to identify seasons such as plantation and harvesting 1 helps in mastering the two seasons 1 helps in planing 1 helps in planning 1 helps in planning better for the seasons 1 helps me to make positive planting decisions 1 helps the farmer plan for productive farming 1 helps to better plan farming 1 helps to know when and what crop to plant 1 helps to know when to plant crops 1 helps to plan better agricultural activities 1 helps to plan planting season 1 helps to plan the plantation season 1 helps to plan when to start preparing gardens and when to plant 1 helps us to know when to prepare our fields 1 helps us to plan when to start planting crops 1 it guided the household on which type of crops to grow 1 it helped in forecasting the future 1 it helped in predicting the future 1 it helps in planning 1 it helps is predicting the future 1 it helps to better plan planting period 1 it would be used for making agricultural decisions 1 it's important in knowing when to plant and harvest. 1 just to know what is happening 1 know how to protect crops incase too much rains and sunshine 1 making agricultural decisions 1 making planting decisions 1 onset ofrains 1 plan on the planting months 1 planning agricultural activities is easy 1 planning becomes easier 1 planning farming 1 planning for farming is easier 1 planning for plantation becomes easy 1 planning for the future 1 planning purpoe 1 planning purpose 2 prepare the growing calender 1 ti determine when to plant crops 1 timely planning and easy decision making 1 to help maximise agricultural production timely 1 to know the roght type of crops to plant 1 to know when to plant 1 you master the plantation period well 1 K4. Do you experience any problems with access to weather information in your community 645 3382 0 1 0 No 286 1 Yes 359 Sysmiss 3382 K5. What are the main problems with access to weather information? 359 0 1 55 1 2 3 1 2 3 4 2 1 2 3 4 5 6 2 1 2 4 6 1 2 4 5 1 1 2 4 5 6 3 1 2 4 6 2 1 2 5 4 1 1 2 5 6 1 1 3 3 1 3 2 4 1 1 3 4 5 6 2 1 1 3 5 4 1 1 3 6 1 1 4 12 1 4 3 5 2 1 4 5 1 1 4 5 6 2 1 4 6 3 1 5 8 1 5 3 3 1 5 4 2 1 5 6 4 1 6 4 1 6 3 2 1 6 4 2 1 6 5 5 1 6 5 3 1 2 15 2 1 5 2 1 3 4 6 1 2 1 4 1 2 1 5 1 2 1 5 4 1 2 3 2 2 3 4 5 1 2 3 5 4 6 1 2 4 5 2 4 5 2 2 4 5 3 6 1 2 4 6 1 2 4 6 1 1 2 6 1 1 3 17 3 1 2 3 2 1 3 4 1 3 5 3 3 6 1 4 43 4 1 6 4 1 2 2 4 1 6 1 4 2 2 4 2 1 1 4 5 5 4 5 7 1 4 6 5 5 28 5 1 2 5 2 1 2 5 3 1 5 4 8 5 4 2 1 5 6 2 5 6 4 1 5 7 1 6 13 6 1 2 6 1 4 2 6 3 1 6 4 2 6 4 1 2 6 5 4 6 5 1 2 6 5 4 1 1 7 20 k5/1 359 3668 0 1 0 No 189 1 Yes 170 Sysmiss 3668 k5/2 359 3668 0 1 0 No 288 1 Yes 71 Sysmiss 3668 k5/3 359 3668 0 1 0 No 307 1 Yes 52 Sysmiss 3668 k5/4 359 3668 0 1 0 No 216 1 Yes 143 Sysmiss 3668 k5/5 359 3668 0 1 0 No 252 1 Yes 107 Sysmiss 3668 k5/6 359 3668 0 1 0 No 281 1 Yes 78 Sysmiss 3668 k5/7 359 3668 0 1 0 No 337 1 Yes 22 Sysmiss 3668 Specify this other problem: 22 0 Information method is not well designed 1 It's through radio 1 Its not frequent 1 Lack of dry cell(battery) for the radio 1 Lack of radio 1 Limited medium to receive the information 1 Most times its not accurate 1 Most times the information is not accurate 1 No means of receiving the information 1 No means to access the information 1 No near weather and climate office to provide information 1 No office around our place where to get information other than a radio 1 No offices to provide the information in our area 1 No radio 4 No radio at home 1 Sometimes I miss out because I dont have the media 1 Sometimes lacks finance to buy battery to listen to radio 1 1 We have no radio yet most times thats where the information is passed 1 K6. What weather information would you want to help you in your activities ? 4027 0 1 596 1 2 29 1 2 3 23 1 2 3 4 10 1 2 3 4 5 6 1 2 3 4 5 6 22 1 2 3 4 5 6 7 27 1 2 3 4 5 7 1 1 2 3 4 5 7 6 3 1 2 3 4 6 10 1 2 3 4 6 5 5 1 2 3 4 6 5 7 4 1 2 3 4 6 7 1 1 2 3 4 7 6 5 2 1 2 3 5 1 1 2 3 5 4 6 1 1 2 3 5 4 6 7 2 1 2 3 5 4 7 1 1 2 3 5 6 5 1 2 3 5 6 4 2 1 2 3 6 4 1 2 3 6 5 1 1 2 3 6 7 2 1 2 3 7 6 5 1 1 2 4 5 1 2 4 3 5 3 1 2 4 3 5 6 4 1 2 4 5 3 2 1 2 4 5 3 6 1 1 2 4 5 6 3 1 2 4 5 7 1 1 2 4 6 5 1 2 4 6 3 1 1 2 4 6 5 3 1 1 2 4 6 7 1 1 2 4 7 5 1 1 2 4 7 6 5 1 1 2 5 6 1 2 5 3 6 1 1 2 5 4 3 2 1 2 5 4 6 7 1 1 2 5 6 9 1 2 5 6 3 4 7 1 1 2 5 6 4 2 1 2 5 7 3 1 2 6 5 1 2 6 4 5 3 7 1 1 2 7 1 1 2 7 5 1 1 2 7 6 4 3 1 1 3 80 1 3 2 3 1 3 2 4 5 1 1 3 2 4 5 6 1 1 3 2 4 5 6 7 1 1 3 2 4 5 7 1 1 3 2 4 6 1 1 3 2 5 6 1 1 3 2 7 6 1 1 3 4 26 1 3 4 2 5 6 1 1 3 4 2 5 6 7 1 1 3 4 2 6 1 1 3 4 5 37 1 3 4 5 6 36 1 3 4 5 6 7 26 1 3 4 5 6 7 2 1 1 3 4 5 7 1 1 3 4 5 7 6 5 1 3 4 6 10 1 3 4 6 2 5 1 1 3 4 6 5 1 1 3 4 6 5 7 2 1 3 4 6 7 1 1 3 4 6 7 5 2 1 3 4 6 7 5 2 1 1 3 4 7 2 1 3 4 7 6 1 1 3 5 52 1 3 5 4 8 1 3 5 4 6 2 1 3 5 4 6 7 2 1 3 5 6 14 1 3 5 6 7 23 1 3 5 7 3 1 3 6 31 1 3 6 4 2 1 3 6 4 5 7 1 1 3 6 4 7 1 1 3 6 5 4 1 3 6 5 4 1 1 3 6 7 2 1 3 7 6 1 3 7 4 6 1 1 3 7 6 1 1 4 114 1 4 2 3 5 6 1 1 4 2 3 5 6 7 1 1 4 3 8 1 4 3 2 1 1 4 3 2 5 6 7 2 1 4 3 2 6 1 1 4 3 2 6 5 7 1 1 4 3 5 4 1 4 3 5 6 4 1 4 3 5 6 2 1 1 4 3 5 7 1 1 4 3 6 5 7 1 1 4 3 6 7 5 1 1 4 5 35 1 4 5 3 3 1 4 5 6 23 1 4 5 6 3 1 1 4 5 6 7 1 1 4 5 7 3 1 4 5 7 3 1 1 4 6 29 1 4 6 3 5 1 1 4 6 5 7 1 4 6 7 3 1 4 7 12 1 4 7 6 2 1 5 126 1 5 2 3 4 1 1 5 3 13 1 5 3 4 2 1 5 3 6 3 1 5 4 10 1 5 4 3 1 1 5 4 6 1 1 5 4 6 7 1 1 5 6 54 1 5 6 2 3 4 1 1 5 6 3 2 1 5 6 4 2 1 5 6 7 22 1 5 7 6 1 5 7 4 3 1 1 5 7 6 4 3 1 1 6 171 1 6 3 9 1 6 4 3 1 6 4 5 1 1 6 5 27 1 6 5 3 1 1 6 5 3 4 1 1 6 5 4 1 1 6 5 4 3 4 1 6 5 4 7 1 1 6 7 24 1 6 7 3 1 1 6 7 4 2 1 6 7 5 1 1 7 61 1 7 3 3 1 7 3 6 1 1 7 4 4 1 7 4 3 5 1 1 7 4 5 1 1 7 4 6 1 1 7 5 7 1 7 5 3 4 1 1 7 5 4 3 1 1 7 6 11 1 7 6 5 1 1 7 6 5 4 1 2 20 2 1 3 2 1 3 2 2 1 3 4 2 2 1 3 4 5 1 2 1 3 4 5 6 1 2 1 3 4 5 6 7 2 2 1 3 4 6 1 2 1 3 5 4 6 1 2 1 3 5 6 1 2 1 3 6 1 2 1 4 1 2 1 4 3 5 1 2 1 4 5 1 2 1 4 5 6 1 2 1 4 5 7 1 2 1 4 6 1 2 1 4 6 5 1 2 1 4 7 1 2 1 5 2 2 1 5 3 6 1 2 1 5 4 6 1 2 1 5 6 4 1 2 1 6 7 1 2 3 7 2 3 1 1 2 3 1 4 6 1 2 3 1 5 1 2 3 1 5 4 6 1 2 3 4 5 2 3 4 5 2 2 3 4 5 6 7 2 2 3 4 5 7 6 1 2 3 4 6 2 2 3 4 6 7 5 1 2 3 5 3 2 3 5 1 1 2 3 5 4 1 2 3 5 6 1 2 4 6 2 4 3 2 2 4 3 5 6 1 2 4 3 6 5 1 2 4 3 6 7 1 2 4 5 6 2 4 5 6 1 2 4 5 6 3 1 2 4 5 6 3 1 2 2 4 6 8 2 4 6 5 2 2 4 6 5 3 1 2 5 7 2 5 1 3 1 2 5 3 3 2 5 3 6 7 1 2 5 4 2 2 5 6 1 2 5 6 4 1 2 5 6 7 1 2 5 7 6 4 3 1 2 6 1 2 6 4 1 2 6 7 4 1 2 7 1 3 109 3 1 8 3 1 2 1 3 1 2 5 4 1 3 1 2 5 6 1 3 1 4 1 3 1 4 5 1 3 1 4 6 1 3 1 4 6 7 1 3 1 5 4 3 1 5 4 7 1 3 1 5 7 6 1 3 1 6 1 3 1 6 5 2 3 2 1 3 2 1 2 3 2 1 4 5 1 3 2 1 5 1 3 2 4 5 7 1 3 2 5 6 4 1 3 4 25 3 4 1 6 3 3 4 5 24 3 4 5 1 2 3 4 5 6 34 3 4 5 6 1 2 3 4 5 6 2 1 3 4 5 6 7 38 3 4 5 6 7 1 1 3 4 5 7 6 7 3 4 5 7 6 1 1 3 4 6 6 3 4 6 1 2 5 7 1 3 4 6 7 2 3 4 6 7 5 2 3 4 7 6 1 3 5 26 3 5 1 2 3 5 4 4 3 5 4 6 2 3 5 4 6 7 1 3 5 6 16 3 5 6 1 2 3 5 6 4 2 3 5 6 7 24 3 5 7 4 3 5 7 4 1 3 5 7 6 10 3 6 36 3 6 1 1 3 6 1 5 1 3 6 5 11 3 6 5 4 7 1 3 6 5 7 4 3 6 7 7 3 6 7 5 2 3 6 7 5 4 1 3 7 5 3 7 4 1 3 7 5 1 3 7 5 6 1 3 7 6 1 3 7 6 5 2 4 104 4 1 5 4 1 5 2 4 1 5 6 1 4 1 6 3 4 2 5 6 7 1 4 3 10 4 3 1 1 4 3 2 1 5 6 7 1 4 3 5 7 4 3 5 6 3 4 3 5 6 7 3 4 3 6 2 4 3 6 5 1 4 5 35 4 5 1 1 4 5 1 6 1 4 5 3 2 4 5 3 1 2 4 5 3 1 7 1 4 5 3 6 1 4 5 6 21 4 5 6 1 1 4 5 6 1 3 1 4 5 6 3 1 1 4 5 6 3 7 2 1 4 5 6 7 6 4 5 6 7 3 1 4 5 6 7 3 2 1 1 4 5 7 2 4 5 7 3 6 1 4 5 7 6 4 4 5 7 6 3 1 4 6 22 4 6 1 2 4 6 5 4 4 6 5 7 1 4 6 5 7 1 1 4 6 7 3 4 6 7 5 3 4 7 1 4 7 1 3 1 4 7 6 1 4 7 6 5 2 4 8 1 5 167 5 1 7 5 1 2 3 1 5 1 3 4 5 1 3 4 1 5 1 6 2 5 1 6 4 1 5 1 7 6 1 5 3 5 5 3 1 5 5 3 4 1 6 7 1 5 3 6 2 5 3 6 1 1 5 3 6 7 2 5 3 7 1 5 4 11 5 4 1 1 5 4 2 6 1 5 4 3 6 5 4 3 1 1 5 4 3 2 1 6 7 1 5 4 3 6 1 5 4 3 6 7 1 5 4 3 7 6 1 5 4 6 6 5 4 6 1 1 5 4 6 3 1 5 4 6 7 1 5 4 6 7 3 1 5 4 7 6 3 1 5 6 92 5 6 1 4 5 6 1 3 7 1 5 6 2 2 5 6 3 6 5 6 3 1 2 5 6 4 1 5 6 4 3 1 5 6 4 3 7 1 5 6 7 21 5 6 7 3 1 5 7 6 5 7 1 1 5 7 1 6 3 1 5 7 3 6 1 5 7 6 2 5 7 6 3 1 6 203 6 1 17 6 1 2 3 4 5 1 6 1 2 3 5 1 6 1 3 1 6 1 3 2 1 6 1 3 5 1 6 1 4 3 6 1 5 1 6 1 7 1 6 2 1 6 3 10 6 3 1 1 6 3 1 5 1 6 3 4 2 6 4 10 6 4 1 4 6 4 3 3 6 4 3 5 7 1 6 4 3 7 1 6 4 5 2 6 4 5 3 1 6 4 7 2 6 5 50 6 5 1 8 6 5 1 7 1 6 5 2 2 6 5 3 7 6 5 3 1 4 1 6 5 4 10 6 5 4 1 2 6 5 4 3 5 6 5 4 3 1 2 6 5 4 3 2 1 1 6 5 4 3 7 1 6 5 4 7 1 6 5 4 7 3 1 6 5 7 2 6 7 29 6 7 1 1 6 7 4 3 6 7 5 3 2 6 7 5 4 3 2 7 97 7 1 6 7 1 2 3 5 4 1 7 1 2 4 6 1 7 1 3 1 7 1 3 4 5 1 7 1 4 1 7 1 5 6 1 7 3 4 7 3 1 1 7 3 4 1 7 4 5 7 4 1 1 7 4 3 2 1 5 6 1 7 4 3 5 6 1 7 4 5 1 7 4 5 3 1 7 4 5 6 3 1 1 7 5 9 7 5 3 3 7 5 3 2 1 7 5 4 1 7 5 4 6 1 7 5 4 6 3 1 7 5 4 6 3 1 1 7 5 6 1 7 5 6 3 1 7 6 17 7 6 3 1 7 6 3 5 1 7 6 3 5 4 1 7 6 4 1 7 6 5 6 7 6 5 3 1 7 6 5 3 1 1 7 6 5 4 1 7 6 5 4 1 1 7 6 5 4 3 3 7 6 5 4 3 1 1 7 6 5 4 3 2 1 1 8 131 8 1 1 k6/1 4027 0 0 1 0 No 1740 1 Yes 2287 k6/2 4027 0 0 1 0 No 3609 1 Yes 418 k6/3 4027 0 0 1 0 No 2705 1 Yes 1322 k6/4 4027 0 0 1 0 No 2765 1 Yes 1262 k6/5 4027 0 0 1 0 No 2326 1 Yes 1701 k6/6 4027 0 0 1 0 No 2303 1 Yes 1724 k6/7 4027 0 0 1 0 No 3251 1 Yes 776 k6/8 4027 0 0 1 0 No 3894 1 Yes 133 Specify this other info required: 90 0 All these would apply for him but apparently he doesn't have land to cultivate 1 Doesn't get any information 1 Doesn't receive any information 1 Doesn't use the information 1 Doesn't use this information 1 Doesnt use the information 1 Don't get that information 1 Dont know 2 Dont receive Information 1 Early information about the coming of the winds 1 From God 2 Helping with roofing materials. 1 How to turn the rocky areas into agricultural areas 1 Information on how to over come strong winds 1 No Information 1 No Informaton 1 No information 18 No information received 1 No information. 1 No informaton 3 No informaton heard 1 Non 2 None 26 None because it is important for those who carry out agriculture 1 Not applicable 1 Not useful 1 Nothing 2 O 1 Preserving soils not to get spoiled 1 Receive no information 1 Sell Labour for food 1 She does not know about weather 1 She does not need any information becouse she does not do agriculture 1 She was not sure since she is not engaged in activity. 1 non 1 none 7 K7. Which actor do you think is best suited to give you information on weather and climate? 4027 0 0 7 3.024 1.792 0 530 1 363 2 549 3 1035 4 268 5 1209 6 15 7 58 Specify this other actor to provide weather information: 29 0 Able person 1 Any capable Person. 1 Any capable person 1 Any capable person. 1 Church (owobusobozi) 1 From God 1 Media for example radios 1 None 4 Not applicable 1 Over the Radio 1 Over the radio 1 Own experience 1 Private radio for woman MP for moyo disctrict 1 Private radio pacess 1 Radio 7 Radio Stations 1 She did not hear 1 Trainings at village level 1 n/p 1 radio 1 _index 4026 1 13 4090 2038.437 1175.047 Enter household baseline tracking number: 3832 195 8 300117625 2151932.276 5380282.409 L1. Did you do anything to adjust your livelihoods to changes in weather and climate? 4027 0 0 1 0 No 3220 1 Yes 807 L2. What do you do to adjust your livelihoods to the weather or changing climate? 807 0 1 183 1 2 119 1 2 3 5 1 2 3 4 5 1 1 2 3 5 10 1 2 4 1 1 2 5 46 1 2 5 3 2 1 2 5 4 2 1 3 4 1 3 2 4 1 3 2 5 1 1 3 5 3 1 3 5 4 1 1 3 5 4 2 1 1 4 2 1 4 3 1 1 4 5 1 1 5 50 1 5 2 8 1 5 3 1 1 6 3 2 86 2 1 31 2 1 3 1 2 1 5 10 2 3 5 2 4 1 1 2 5 16 2 5 1 1 3 9 3 1 2 1 3 1 2 5 1 3 1 5 3 3 2 1 5 1 3 2 5 1 3 5 7 3 5 2 1 3 5 2 1 2 4 3 4 1 1 4 1 2 1 5 99 5 1 10 5 1 2 5 5 1 3 2 1 5 1 4 2 5 2 9 5 2 1 7 5 3 2 5 3 2 1 4 5 4 1 2 1 5 6 1 6 35 Specify this other action taken to adjust livelihood: 39 0 Crop diversification 1 Diversification of crop variety 1 Diversity crops grown 1 Do casual work to earn a living 1 Engaged into stone quarrying so as to raise money because they do not have Agricultural land 1 Engaged into stone quarrying to raise some money 1 Household members decided to take on more off farm activities. 1 Household members got more involved in off farm activities. 1 Involving most household members in the off farm activities. 1 Keep and save harvested crops 1 Planted more trees 1 Planting coffee near my house to provide shade and prevent wind 1 Planting more trees 1 Planting tik trees 2 Planting trees 8 Sell Labour for food 5 Selling Labour 1 Selling Labour for food 2 Selling produce in markets 1 Set up a small business 1 Sold charcoal and firewood 1 Sprayed the crops 1 Tree planting 1 making of hand craft 1 planted drought resisted vegetables 1 reduce food consumed 1 L3. What do you think should be done to improve your household’s ability to withstand changes in weather and climate? 4027 0 0 993 0 10 1 0 2 1 4 8 7 6 1 0 2 1 7 1 0 2 5 9 3 7 8 1 0 3 3 0 3 4 8 10 1 0 3 5 7 8 1 0 3 8 1 0 3 8 5 1 0 4 1 0 4 5 10 1 0 6 2 0 7 1 0 7 8 1 0 8 3 0 8 10 1 0 8 7 1 1 68 1 10 1 1 10 9 1 1 11 1 1 2 26 1 2 10 6 1 1 2 3 36 1 2 3 4 4 1 2 3 4 5 2 1 2 3 4 5 6 1 1 2 3 4 5 6 7 3 1 2 3 4 5 6 7 10 9 8 1 1 2 3 4 5 6 7 8 2 1 2 3 4 5 6 7 8 10 9 1 1 2 3 4 5 6 7 8 9 8 1 2 3 4 5 6 7 8 9 10 6 1 2 3 4 5 6 8 7 9 10 1 1 2 3 4 5 7 6 1 1 2 3 4 5 7 8 1 1 2 3 4 5 7 8 9 1 1 2 3 4 5 7 8 9 10 1 1 2 3 4 5 8 1 1 2 3 4 5 8 10 1 1 2 3 4 5 8 7 2 1 2 3 4 5 8 7 10 1 1 2 3 4 5 8 7 9 1 1 2 3 4 5 8 7 9 11 10 6 1 1 2 3 4 6 5 9 1 1 2 3 4 6 7 1 1 2 3 4 6 7 8 9 10 5 1 1 2 3 4 6 8 5 7 1 1 2 3 4 6 8 7 1 1 2 3 4 6 8 7 5 1 1 2 3 4 6 8 9 2 1 2 3 4 7 8 1 1 2 3 4 7 8 9 1 1 2 3 4 8 9 10 1 1 2 3 5 4 1 2 3 5 4 2 1 2 3 5 4 6 7 9 8 10 1 1 2 3 5 4 8 7 1 1 2 3 5 4 8 7 6 1 1 2 3 5 6 3 1 2 3 5 6 4 1 1 2 3 5 6 7 1 1 2 3 5 6 7 8 9 2 1 2 3 5 6 7 8 9 10 2 1 2 3 5 6 7 9 1 1 2 3 5 6 7 9 10 1 1 2 3 5 6 8 1 1 2 3 5 6 8 7 4 10 9 1 1 2 3 5 6 8 9 7 1 1 2 3 5 7 10 9 8 1 1 2 3 5 7 6 4 1 1 2 3 5 7 8 10 1 1 2 3 5 7 8 10 9 1 1 2 3 5 7 8 9 1 1 2 3 5 7 9 1 1 2 3 5 7 9 4 2 1 2 3 5 8 1 1 2 3 5 8 9 1 1 2 3 5 9 10 7 8 1 1 2 3 6 1 1 2 3 6 4 5 7 8 1 1 2 3 6 5 4 7 8 9 10 1 1 2 3 6 7 8 9 1 1 2 3 6 8 1 1 2 3 6 8 10 9 5 1 1 2 3 6 8 9 1 1 2 3 6 9 8 7 4 1 1 2 3 7 1 1 2 3 7 5 4 1 1 2 3 7 8 3 1 2 3 8 3 1 2 4 3 1 2 4 3 5 1 1 2 4 3 5 6 7 1 1 2 4 3 5 6 7 8 9 1 1 2 4 3 5 6 8 9 7 1 1 2 4 3 5 7 6 8 9 1 1 2 4 3 5 8 7 1 1 2 4 3 6 1 1 2 4 3 6 5 8 1 1 2 4 3 7 8 6 5 9 1 1 2 4 3 8 1 1 2 4 5 1 1 2 4 5 3 6 7 8 9 10 1 1 2 4 5 6 1 1 2 4 5 6 3 1 1 2 4 5 6 7 1 1 2 4 5 6 7 8 1 1 2 4 5 6 7 8 9 1 1 2 4 5 6 9 1 1 2 4 5 6 9 3 7 8 1 1 2 4 5 7 1 1 2 4 5 7 8 9 10 3 1 1 2 4 5 7 8 9 10 6 1 1 2 4 5 7 8 9 6 10 1 1 2 4 6 1 1 2 4 6 3 5 7 1 1 2 4 8 7 1 1 2 5 3 1 2 5 3 6 10 1 1 2 5 6 7 1 1 2 5 6 7 4 3 1 1 2 5 6 8 1 1 2 5 6 8 9 10 1 1 2 5 7 3 1 1 2 5 7 8 1 1 2 5 7 8 10 9 3 1 1 2 5 7 9 8 1 1 2 5 8 3 1 2 6 5 9 1 1 2 6 8 3 1 1 2 7 5 1 2 7 5 4 3 1 1 2 7 5 8 1 1 2 7 8 1 1 2 7 8 3 1 1 2 8 2 1 2 8 10 1 1 2 8 7 3 1 1 2 8 7 9 3 1 1 3 42 1 3 10 7 6 5 1 1 3 2 3 1 3 2 4 5 6 7 1 1 3 2 4 5 6 7 8 9 2 1 3 2 4 5 7 6 8 9 1 1 3 2 4 5 7 8 1 1 3 2 4 6 7 5 8 9 1 1 3 2 5 4 7 6 8 1 1 3 2 5 6 7 4 8 9 10 1 1 3 2 5 7 6 8 9 10 1 1 3 2 7 1 1 3 2 7 4 6 5 8 9 10 1 1 3 4 4 1 3 4 2 5 6 7 8 9 1 1 3 4 2 6 5 7 8 9 10 1 1 3 4 2 8 7 5 6 1 1 3 4 5 6 1 1 3 4 5 6 7 8 1 1 3 4 5 6 7 8 9 1 1 3 4 5 6 7 9 1 1 3 4 5 6 8 1 1 3 4 5 6 8 9 1 1 3 4 5 7 8 1 1 3 4 5 8 1 1 3 4 6 1 1 3 4 6 7 8 9 1 1 3 4 6 8 7 1 1 3 4 7 8 5 1 1 3 4 8 1 1 3 4 9 2 1 1 3 5 14 1 3 5 2 4 8 9 7 6 1 1 3 5 2 7 4 1 1 3 5 4 6 7 8 9 10 1 1 3 5 4 6 8 1 1 3 5 6 7 8 9 2 1 1 3 5 7 9 1 3 5 7 10 9 1 1 3 5 7 10 9 8 4 1 1 3 5 7 8 4 1 3 5 7 8 9 3 1 3 5 7 9 2 1 3 5 8 3 1 3 5 8 10 2 1 3 5 8 9 1 1 3 5 9 1 1 3 6 1 1 3 6 10 8 9 1 1 3 6 2 1 1 3 6 5 1 1 3 6 7 8 1 1 3 6 8 2 1 3 6 8 10 3 1 3 6 8 9 1 1 3 6 8 9 10 1 1 3 6 8 9 5 1 1 3 7 9 1 3 7 5 2 1 3 7 5 9 1 1 3 7 6 5 2 8 9 10 1 1 3 7 6 8 9 10 1 1 3 7 8 5 1 3 7 8 10 1 1 3 7 8 5 1 1 3 7 8 5 9 10 1 1 3 7 8 9 10 1 1 3 7 9 1 1 3 8 13 1 3 8 10 5 1 3 8 4 1 1 3 8 4 5 10 1 1 3 8 6 4 1 1 3 8 6 5 9 1 1 3 8 7 3 1 3 8 7 6 9 1 1 3 8 9 3 1 3 8 9 10 1 1 3 8 9 7 1 1 3 9 2 1 3 9 8 1 1 4 6 1 4 10 1 1 4 2 5 3 7 8 6 9 1 1 4 3 5 6 7 8 9 10 1 1 4 5 1 1 4 5 6 4 1 4 5 6 7 1 1 4 5 6 7 8 1 1 4 5 6 7 8 9 10 3 2 1 1 4 5 6 8 1 1 4 5 8 1 1 4 6 1 1 4 6 7 8 1 1 4 6 7 8 9 1 1 4 6 7 9 10 1 1 4 6 8 9 1 1 4 7 6 5 1 1 4 7 9 1 1 4 8 9 6 5 3 1 1 4 8 9 7 1 1 4 9 7 8 2 3 6 1 1 4 9 8 1 1 5 12 1 5 3 2 1 5 3 2 4 6 8 9 7 1 1 5 3 7 8 10 1 1 5 3 8 1 1 5 6 3 1 5 6 4 2 3 1 1 5 6 7 9 2 1 1 5 6 9 10 1 1 5 7 2 1 5 7 8 1 1 5 7 9 8 1 1 5 8 2 1 5 8 7 1 1 5 9 3 1 6 2 1 6 3 8 10 1 1 6 5 1 1 6 5 7 1 1 6 7 1 1 6 7 8 9 1 1 6 8 1 1 6 8 3 1 1 6 8 9 10 3 1 1 6 9 3 1 7 3 1 7 3 9 1 1 7 6 10 1 1 7 8 3 1 7 8 10 3 1 1 7 8 2 1 1 7 8 9 1 1 7 9 1 1 7 9 5 1 1 8 32 1 8 10 2 1 8 10 2 1 1 8 10 3 2 1 8 10 9 3 1 1 8 2 2 1 8 3 8 1 8 3 6 4 1 1 8 5 1 1 8 5 2 3 4 1 1 8 5 4 3 1 1 8 7 10 1 1 8 7 4 5 1 1 8 7 9 1 1 8 9 6 1 8 9 10 1 1 8 9 3 1 1 9 5 1 9 10 1 1 9 2 6 8 1 1 9 3 2 1 9 8 1 1 9 8 5 10 1 1 9 8 5 3 1 1 9 8 6 5 3 1 10 12 10 1 1 10 1 5 3 1 10 11 2 10 2 1 1 10 2 3 5 1 10 3 5 10 5 2 10 5 2 1 10 5 3 8 1 10 5 6 1 1 10 6 3 2 10 7 1 10 7 5 3 1 10 7 5 4 1 10 8 2 4 5 7 1 10 8 3 1 10 8 4 3 1 10 8 5 4 2 1 10 8 5 4 3 1 10 8 9 5 4 1 10 9 1 10 9 6 3 2 1 1 10 9 6 8 7 5 4 2 1 3 1 10 9 8 7 3 1 10 9 8 7 5 4 2 3 1 10 9 8 7 6 4 1 11 41 11 3 1 1 11 4 1 11 7 3 1 2 151 2 1 11 2 1 3 5 2 1 3 4 1 2 1 3 4 5 6 7 8 9 10 2 2 1 3 5 1 2 1 3 7 6 8 9 10 1 2 1 3 7 8 9 10 1 2 1 3 8 1 2 1 3 8 7 1 2 1 4 1 2 1 4 5 8 1 2 1 4 6 9 5 1 2 1 4 7 8 3 1 2 1 4 7 9 10 8 1 2 1 5 2 2 1 5 4 7 8 1 2 1 5 7 8 1 2 1 5 7 9 8 1 2 1 6 1 2 1 8 2 2 1 8 7 3 1 2 1 9 1 2 10 2 2 11 1 2 3 70 2 3 1 7 2 3 1 4 1 2 3 1 4 5 6 7 8 9 1 2 3 1 6 1 2 3 10 2 2 3 10 7 6 5 1 2 3 4 8 2 3 4 5 3 2 3 4 5 6 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 8 10 1 2 3 4 5 6 9 1 2 3 4 5 7 8 9 1 2 3 4 6 5 8 1 2 3 4 6 5 8 7 1 2 3 4 6 7 8 1 2 3 4 8 2 2 3 4 8 9 1 2 3 5 13 2 3 5 1 1 2 3 5 10 1 2 3 5 4 7 8 1 2 3 5 6 3 2 3 5 6 7 8 9 18 2 3 5 6 8 9 3 2 3 5 7 8 1 2 3 5 7 8 9 11 1 2 3 5 7 9 8 1 2 3 5 8 10 1 2 3 5 8 10 9 1 2 3 5 8 9 2 2 3 6 4 2 3 6 5 1 2 3 6 8 5 1 1 2 3 6 9 1 2 3 7 8 2 3 7 4 1 2 3 7 8 8 2 3 7 8 5 1 2 3 8 11 2 3 8 10 1 2 3 8 5 1 1 2 3 8 7 1 2 3 8 9 4 2 3 9 7 2 3 9 10 5 1 2 4 19 2 4 3 5 2 4 3 8 1 2 4 5 2 2 4 5 3 1 2 4 5 3 6 7 8 1 2 4 5 6 8 9 7 1 1 2 4 5 7 3 1 2 4 6 5 1 2 4 6 8 9 10 7 3 1 2 4 7 9 1 2 4 8 2 2 5 21 2 5 10 1 2 5 3 1 2 5 4 1 1 2 5 4 3 8 2 2 5 6 3 2 5 6 3 2 2 5 6 8 10 1 2 5 7 7 2 5 7 10 1 2 5 7 8 7 2 5 7 8 10 2 2 5 8 3 2 5 8 3 1 1 2 5 8 7 2 2 6 11 2 6 3 1 2 6 5 5 2 6 7 8 1 2 6 8 1 2 6 8 3 1 2 6 9 10 1 2 7 5 2 7 5 1 2 7 8 4 2 7 8 9 1 2 8 14 2 8 10 1 2 8 10 3 1 2 8 3 2 2 8 3 5 1 2 8 5 1 2 8 6 5 4 1 2 8 7 1 2 8 7 9 1 2 8 9 11 6 1 2 8 9 3 1 2 9 6 2 9 5 1 2 9 8 7 1 1 3 177 3 1 13 3 1 10 8 1 3 1 2 1 3 1 2 4 7 9 10 8 5 1 3 1 2 8 7 9 1 3 1 5 4 7 8 1 3 1 8 5 1 3 10 4 3 10 7 1 3 10 8 1 3 10 8 5 1 3 10 9 8 1 6 5 1 3 2 46 3 2 1 5 3 2 1 7 8 1 3 2 10 8 5 1 3 2 4 1 3 2 4 5 1 3 2 4 8 1 3 2 5 3 3 2 5 7 8 1 3 2 5 8 2 3 2 6 2 3 2 7 1 3 2 7 8 2 3 2 7 8 1 10 1 3 2 8 3 3 2 8 1 1 3 2 8 7 1 3 4 8 3 4 1 1 3 4 2 4 3 4 5 3 3 4 5 1 8 1 3 4 5 2 2 3 4 5 6 2 3 4 5 6 7 8 1 3 4 5 6 8 1 2 1 3 4 5 7 1 3 4 5 7 8 9 10 11 1 1 3 4 5 8 2 3 4 6 1 3 4 7 8 1 3 4 9 2 3 5 21 3 5 1 2 3 5 1 2 1 3 5 1 7 9 1 3 5 1 8 9 10 1 3 5 2 2 3 5 4 1 3 5 4 8 1 3 5 6 5 3 5 6 7 1 1 3 5 6 7 11 1 3 5 6 7 8 1 3 5 6 7 8 2 1 10 1 3 5 6 8 10 1 3 5 6 8 9 1 3 5 7 3 3 5 7 10 1 3 5 7 2 1 3 5 7 8 2 3 5 8 5 3 5 8 1 1 3 5 8 10 1 1 3 5 8 6 2 1 4 7 1 3 5 8 9 2 1 3 5 8 9 6 1 3 6 5 3 6 2 1 3 6 5 3 3 6 5 10 1 3 6 7 8 2 3 6 8 2 3 6 8 2 1 3 7 16 3 7 5 6 1 3 7 8 4 3 7 8 1 1 3 7 8 10 9 1 3 7 8 2 1 3 7 8 9 2 3 7 8 9 1 2 4 5 6 1 3 7 8 9 10 1 3 7 9 1 3 7 9 10 5 11 1 3 7 9 8 1 3 8 43 3 8 1 3 3 8 1 9 10 1 3 8 10 3 3 8 10 9 5 1 3 8 2 2 3 8 4 3 3 8 5 6 1 3 8 6 1 3 8 7 3 3 8 7 10 1 3 8 7 10 2 1 3 8 7 2 1 3 8 7 5 1 3 8 7 9 2 3 8 7 9 10 1 3 8 9 4 3 8 9 10 1 1 3 8 9 10 1 2 1 3 9 5 3 9 7 1 4 44 4 1 1 4 1 5 6 1 4 10 1 4 11 4 4 2 5 4 2 1 2 4 2 3 1 4 2 6 1 4 2 8 1 4 3 10 4 3 10 7 9 1 4 3 11 10 2 1 4 3 2 3 4 3 2 5 2 4 3 2 5 7 9 6 1 4 3 2 8 10 6 5 1 4 3 5 1 4 3 8 1 4 5 13 4 5 10 5 4 5 10 6 2 1 4 5 2 1 4 5 3 6 4 5 3 2 11 4 5 3 2 1 8 7 1 4 5 3 8 1 4 5 6 5 4 5 6 1 3 1 4 5 6 10 10 4 5 6 2 1 4 5 6 3 8 1 4 5 6 7 3 4 5 6 7 8 1 4 5 6 7 8 10 1 4 5 6 8 2 4 5 6 8 10 4 4 5 6 8 3 2 1 4 5 7 1 4 5 7 8 1 4 5 7 8 9 1 1 4 5 7 9 1 2 10 3 1 4 5 8 8 4 5 8 10 1 4 5 8 2 2 4 5 8 3 1 4 5 8 3 2 6 9 10 1 4 5 8 7 2 1 4 5 8 9 10 1 4 5 9 1 4 5 9 8 1 4 6 2 4 6 5 7 1 4 6 8 9 10 1 4 6 9 2 3 1 4 6 9 7 2 8 1 4 7 1 4 7 8 1 4 8 9 4 8 2 2 4 8 2 3 1 4 8 3 3 4 8 3 2 1 4 8 5 2 4 8 5 2 1 4 8 7 6 5 1 5 101 5 0 1 5 1 4 5 1 2 1 5 1 2 3 1 5 1 3 1 5 10 1 5 10 7 1 5 2 9 5 2 1 1 5 2 11 1 5 2 3 3 5 2 3 4 1 5 3 14 5 3 1 1 5 3 1 8 1 5 3 2 4 5 3 4 2 5 3 8 3 5 3 8 1 1 5 3 8 9 2 5 3 9 2 5 4 13 5 4 1 2 8 1 5 4 2 1 5 4 2 3 2 5 4 2 3 1 1 5 4 3 2 5 4 3 2 3 5 4 3 2 1 2 5 4 3 2 1 6 8 1 5 4 3 2 1 7 8 9 6 1 5 4 3 8 9 10 1 5 4 8 1 5 6 13 5 6 2 2 5 6 2 4 9 1 5 6 3 6 5 6 3 2 1 5 6 4 1 5 6 7 3 5 6 7 8 1 5 6 7 8 2 1 5 6 7 8 9 3 2 1 1 5 6 8 5 5 6 8 1 1 5 6 8 2 2 5 6 8 7 3 1 5 6 8 9 10 1 1 5 6 8 9 10 3 1 5 6 8 9 2 3 1 5 6 9 3 5 6 9 3 1 5 7 9 5 7 1 8 1 5 7 6 10 3 2 1 5 7 8 3 5 8 13 5 8 1 2 5 8 3 3 5 8 6 10 1 5 8 7 2 5 8 7 9 1 5 8 9 10 1 5 8 9 3 2 5 9 1 2 5 9 10 8 7 3 1 5 9 2 2 5 9 7 6 2 1 1 6 74 6 2 2 6 2 3 11 1 6 3 6 6 3 1 9 1 6 3 2 1 6 3 2 4 1 9 1 6 3 2 7 1 6 3 9 1 6 5 8 6 5 1 3 1 6 5 3 3 6 5 4 1 6 5 4 8 1 6 5 8 3 6 7 2 6 7 8 2 6 8 10 6 8 3 1 6 8 3 2 1 6 8 5 4 2 1 6 8 7 3 1 6 8 7 5 9 4 2 1 6 8 7 9 2 3 1 6 9 1 6 9 3 1 7 24 7 1 2 7 1 3 1 7 1 8 1 7 2 3 7 2 8 1 7 3 2 7 3 1 1 7 3 1 2 1 7 3 2 2 7 3 2 1 1 7 3 2 8 1 7 3 5 1 7 3 8 3 7 4 1 7 4 3 1 7 4 9 1 7 5 1 7 5 4 1 7 6 3 7 6 3 1 7 6 5 1 7 6 5 3 9 8 1 7 6 5 4 2 1 3 8 9 1 7 6 8 1 7 8 12 7 8 1 2 7 8 10 9 1 7 8 10 9 2 1 7 8 2 1 1 7 8 3 2 7 8 3 2 2 7 8 5 1 7 8 5 3 1 7 8 5 3 2 1 1 7 8 5 4 3 9 1 7 8 5 6 9 10 1 7 8 6 1 7 8 9 1 2 1 7 8 9 3 2 7 9 3 7 9 3 1 7 9 5 2 7 9 6 8 1 8 174 8 1 7 8 1 10 2 1 8 1 2 3 4 5 6 7 9 10 1 8 1 2 3 5 6 9 7 1 8 1 2 3 9 1 8 1 3 7 8 1 3 2 5 4 6 7 10 9 1 8 1 5 1 8 1 7 2 1 8 10 4 8 10 1 1 8 10 1 3 6 1 8 10 9 4 1 3 1 8 11 1 8 2 26 8 2 1 1 8 2 1 5 2 8 2 10 1 8 2 3 3 8 2 3 6 1 8 2 4 1 8 2 5 1 8 2 6 2 8 2 7 2 8 2 7 9 1 8 2 9 1 8 3 26 8 3 11 1 8 3 2 4 8 3 2 1 1 8 3 2 1 9 1 8 3 5 1 8 3 6 5 2 8 3 7 4 8 3 7 4 1 8 3 9 1 8 4 3 8 4 2 3 8 4 2 1 5 1 8 4 3 5 8 4 3 2 1 1 8 4 5 7 1 8 4 6 5 2 1 8 5 11 8 5 1 5 8 5 2 4 8 5 2 1 1 8 5 2 1 6 1 8 5 3 6 8 5 3 4 1 8 5 3 6 2 1 8 5 3 9 1 8 5 4 10 1 8 5 4 3 2 8 5 4 3 2 1 8 5 6 2 8 5 6 3 1 8 5 7 1 8 5 9 1 8 6 4 8 6 2 3 1 8 6 3 1 8 6 3 2 2 8 6 4 1 8 7 44 8 7 2 5 8 7 3 11 8 7 3 1 9 1 8 7 3 2 1 8 7 4 1 8 7 4 3 1 8 7 4 3 2 1 8 7 5 8 8 7 5 2 1 8 7 5 3 1 8 7 5 4 9 1 1 8 7 5 9 1 8 7 9 10 2 8 7 9 6 4 3 1 8 9 9 8 9 1 1 8 9 1 2 1 8 9 10 1 8 9 3 4 8 9 3 2 1 8 9 3 5 6 1 8 9 5 3 8 9 7 5 3 2 1 1 9 21 9 1 2 9 1 3 5 1 9 1 3 6 1 9 10 7 1 9 2 1 9 2 1 8 1 9 3 7 9 3 5 3 9 3 5 6 1 9 3 5 8 1 9 4 10 1 9 5 3 9 5 11 1 9 5 2 1 1 9 5 3 1 9 6 4 2 1 9 7 5 3 1 9 7 6 3 1 9 7 6 5 3 1 9 7 8 5 1 9 7 8 6 5 4 3 2 1 9 8 6 9 8 1 2 3 1 9 8 10 1 9 8 10 1 1 9 8 2 4 1 9 8 5 3 9 8 5 2 1 9 8 6 1 1 9 8 6 5 3 1 9 8 7 1 9 8 7 1 1 9 8 7 6 5 10 3 11 1 9 8 7 6 5 3 2 1 1 9 8 7 6 5 4 3 2 1 10 1 Labels are indicated in the questionnaire. Specify this other action that can be done: 65 0 . 0 1 Add the refugees bigger pieces of plots so as to engage in agriculture 1 Ask to be given land to do agriculture to sustain their family incase of any emergency 1 Attending trainings concerning agriculture practices 1 Build for her a stronger house 1 Business found 1 Cash assistance 1 Change my location because im in the valley so its very hard to do any agriculture 1 Compensate the farmers for the loss 1 Conduct traiings on farming stratagies 1 Distribution of hoes 1 Empower them to be self reliant 1 Extend Capital to capable farmers 1 Financial support for treatment and education 1 Get enough land 1 Give Capital for start up businesses 1 Give seeds, in times of disaster and posho for food 1 Give them capital 2 Give them enough food 1 Give them enough land and capital 1 Give them food and money in times of disasters 1 Give them food in disaster times 1 Give them food in times of disaster 1 Give them money 1 Give them more capital 1 Give them rice and money 1 Give them rice like the last time when strong winds hit them 1 Give trainings to farmers 1 Give us livestock and other farm equipment 1 Give us money on top of food 1 Have access to loans In order to improve in the trading activities 1 Having access to financial services or loans 1 Help them and their orphans to care for their needs 1 How to manage floods and dry their cereals during a wet season 1 I need land for cultivation 1 I need money for domestic needs 1 I stock firewood in rain seasons 1 Industrialisation 1 Invest in good drainage systems to reduce on floods during heavy rains. 1 Invest in water harvest for domestic use. 1 Need surport for more land addition to be used for for agriculture to better thier livelihoods 1 1 Practical training on how to over come drought or floods 1 Provide free water. 1 Provide issentials like food, clothes, money in times of disaster 1 Provide land access for farming 1 Provide more food in cases of such hazards 1 Provide permanent houses 1 Provide refugees with strong iron sheets for making permanent houses 1 Provide the nearest water point. 1 Provide them also with relief aid 1 Provide them with permanent building incase of floods 1 Provide them with trainings. 1 Provided with the Health center,school and money 1 Providing them with agriculture tools 1 Provision of services 1 Provision of the the basic needs for person like beddings 1 Sensitising farmers about weather changes 1 Teach farmers better farming methods 1 Train people on weather changes in uganda 1 Train refugees on adaptation measures 1 Upkeep 1 give digging land 1 offer money for business set up a business and tools for cultivation 1 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 S1. Compared with one year ago, has your relationship with other groups in your community: 4018 9 1 998 1 Improved a lot 1579 2 Improved a little 1690 3 Stayed the same 672 4 Worsened 43 5 Significantly worsened 4 998 Don't know 30 999 Refuse to answer 0 Sysmiss 9 S2. How would you describe your actual relationship with other groups in your community? 4021 6 1 998 1 Very good 910 2 Good 2569 3 Neither good nor bad 490 4 Bad 31 5 Very bad 4 998 Don't know 17 999 Refuse to answer 0 Sysmiss 6 S3. How often do you interact (work, personal life, family, friends, etc.) with other groups in your community? 4023 4 1 998 1 Very often 915 2 Often 2238 3 Occasionally 795 4 Rarely 61 5 Never 4 998 Don't know 10 999 Refuse to answer 0 Sysmiss 4 S4.In general, how comfortable are you with interacting with other groups 4023 4 1 998 1 Extremely comfortable 640 2 A lot 2010 3 Moderately 1201 4 Little 146 5 Not at all 18 998 Don't know 8 999 Refuse to answer 0 Sysmiss 4 S5. How often do you interact with refugee/Ugandan businesses or vendors in your area? 4024 3 1 998 1 Very often 769 2 Often 1852 3 Occasionally 1204 4 Rarely 139 5 Never 50 998 Don't know 10 999 Refuse to answer 0 Sysmiss 3 S6. If answered rarely or never, please state the reason why 1824 ,999 4 .0 1 0 448 00 14 000 1 099 1 0999 2 100 2 99 4 990 1 998 2 999 4 9999 3 Always busy 1 Always busy Farming. 1 Always busy working in the garden. 1 Associtative 1 Beascuse the refuge are not in this area 1 Because I don't know them 1 Because am of the different tribe 1 Because even since 1986 has been chairman LC1 1 Because everyone is busy with their farmwork 1 Because he is very associative 1 Because is coperative 1 Because is very associative 1 Because of language barrier 1 Because she does not move for longer distances 1 Because some refugees they do still them. 1 Because the highest population of businesses at the trading center are owned by the refugees 1 Because there good people's 1 Because they are from her 1 Because they are very social to him 1 Because they cooperate 1 1 Because they destroy the nature of their environment 1 Because they have no common interests 1 Because they help each other 1 Because they stole her goats 1 Buying and selling 1 Does not do any business 1 Doesn't see them 1 Don't dare interact with refugee communities. The government grabbed alot of land from us without any form of compensation. 1 Don't usually meet them 1 Fears them,language problem 1 Friendly 2 Frindily 1 Have no business with them 1 Have no energy to do business 1 He has abussy schedule. 1 He has just started leaving in this area so do not know many people 1 He has no business with them 1 He has nothing to share at all. 1 He is not a business man 1 He is not in the business field 1 He is taken up with his work most of the time. 1 He is very old and he can't do business 1 He's not usually around.. 1 I do not actually have any business to do. What I only do is barter trade with my fellow refugees 1 I don't always go there 1 I don't always meet them and do not know the majority 1 I don't have business to conduct most of the time, so I don't meet traders often 1 I don't know them,language problem 1 I don't move and am new in thiscommunity 1 I don't understand the language they speak 1 I don't usually see them 1 I dont paticipate in business 1 I fear because I'm aware that some people are hunting to kill me, they are linked to the ongoing war back home. 1 I have no produce to sale , we consume all the crops we grow 1 I have no time 1 I have time for my business only 1 I never have anything for sale 1 I rerely buy food 1 I stay far away from the trading center 1 Im not close to the refugees 1 It's because we are so dependent on the relief food so without it we don't have money to buy things from the market 1 It's so rare to see refugees 1 Language 3 Language Barrier 5 Language barrier 12 Language barrier problem 1 Language barrier. 1 Language difference 1 Language difficulties 1 Language issue 1 Language problem 3 Limited time of meeting. 1 Most of her neighborhood quarrel alot 1 N 2 N. A 5 N.a 1 N/A 12 N/p 1 NO 1 Na 9 Never 1 Never seen them 1 Never seen them around.. 1 Nkn 1 No 5 No any access to business men 1 No business deals 1 No bussiness 5 No money 2 No money for accessing the market every time to buy items 1 No money for starting the business 1 No money to keep purchasing items from the bussiness people 1 No neighborhoods nearby, distance problem 1 No never 3 No never recorded 1 No rare 1 No rarely 5 No rarely answer 2 No rarely recorded 20 No refugees in this area. 1 No training 1 Nobe 1 Non 24 None 496 Not Applicable 2 Not a business woman 1 Not appliacble 1 Not applicable 193 Not around 1 Not doing any business 1 Not energetic for business 1 Not engaged in business. they only do shopping when they receive cash assistance. 1 Not having any business dealing with those people 1 Not having any business to discuss about 1 Not in bussiness 1 Not much business with those groups 1 Not operating any business 1 Not so much close to the refugees 1 Not so much doing business 1 Not so much engaging in the market 1 Not usually seen 1 Nothing 1 Nothing in common 1 Nothing to talk about 1 Nothing to talk alot 1 O 82 O999 1 Occasionally 12 Often 35 Only when going there to purchase food 1 Others are good and others are bad 1 Part of them 3 Peaceful stay 2 Poor relationship with them 1 Rarely go to the host community. 1 Rarely go to the trading center 1 Refugee camps are a bit far. 1 She doesnt know where they are 1 She doesnt regularly go to the market 1 She has no any business to discuss about 1 She has no business 1 She has no business friends to interact with 1 She has no business ideas 1 She has no businessmen to discuss with 1 She has no close vendor to discuss with 1 She has nothing to discuss with them, since she is still in school 1 She is a business lady has to interact with fellow traders 1 She is new 1 She is not a business lady 2 She is not doing any business 1 She only depends on food ratio. 1 She rarely sees them 1 Take long to meet with them 1 Takes along time to see them. 1 The community is not friendly and there is a bad relationship between the refugees and the host 1 The distance is so far from here to the camp for the service 1 The host communities/citzens are far from settlement 1 The refugees are quite far away from where I stay 1 The relationship is not good. 1 The security situation here is fragile. Assailants sneek into the country from southern Sudan to perform killings. So I'm sceptic. 1 There are a lot of refugee businesses being operated at the trading centre 1 There are not always this side 1 There not with the area 1 They are always in trading center 1 They are far 2 They are not close 1 They are not near my community 1 They are not seen this side 1 They are thieves 1 They are very far away from my home 1 They are very far from us 1 They associate well 2 They call them only when they have harvests. 1 They cooperate 3 They coperate 1 They destroy people's property 1 They don't come to the village oftenly 1 They dont usually come to his household 1 They have different cultures its not easy to be with them 1 They have no any problem with neighbors 1 They have no capital 1 They occasionally steal her food in the garden 1 They only disturb the host community like fighting 1 They take long to come to our area 1 They work as a team 1 Usually come for work at her place 1 Usually not in this area 1 Very copperative 1 Very far from them 1 Very often 13 We do understand one another. 1 We don't have any business 1 because the food and relief items given are not enough even the food posho,beans cooking oil 1 hard to access them 1 language barrier 1 most of host communities are not happy with the refuguees because the refuguees receive support and for them they do not 1 most of the items they get from within the trading center in the settlement. 1 n.a 23 n/p 17 na 1 1 none 125 not 1 not app 1 not applicable 19 npne 1 o 2 occasionally 1 often 1 old age challenges 1 she only gets an opportunity when she goes to the trading center during market. 1 she only goes to the market when she receives cash assistance. 1 she rarely goes to the big market. 1 some people do not feel at ease to help others 1 sometimes they aren't free to share their life experinces with me 1 the distance is far from each other. 1 there is language barrier 2 ⁿ 1 S7. In general, how much do you trust the other groups? 4024 3 1 998 1 A lot 969 2 Moderately 2282 3 Little 726 4 Not at all 40 998 Don't know 7 999 Refuse to answer 0 Sysmiss 3 4025 2 1 998 1 A lot 2180 2 A little 1398 3 Not much 421 4 Not at all 22 998 Don't know 4 999 Refuse to answer 0 Sysmiss 2 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 S1. Compared with one year ago, has your relationship with other groups in your community: 4018 9 1 998 1 Improved a lot 1579 2 Improved a little 1690 3 Stayed the same 672 4 Worsened 43 5 Significantly worsened 4 998 Don't know 30 999 Refuse to answer 0 Sysmiss 9 S2. How would you describe your actual relationship with other groups in your community? 4021 6 1 998 1 Very good 910 2 Good 2569 3 Neither good nor bad 490 4 Bad 31 5 Very bad 4 998 Don't know 17 999 Refuse to answer 0 Sysmiss 6 S3. How often do you interact (work, personal life, family, friends, etc.) with other groups in your community? 4023 4 1 998 1 Very often 915 2 Often 2238 3 Occasionally 795 4 Rarely 61 5 Never 4 998 Don't know 10 999 Refuse to answer 0 Sysmiss 4 S4.In general, how comfortable are you with interacting with other groups 4023 4 1 998 1 Extremely comfortable 640 2 A lot 2010 3 Moderately 1201 4 Little 146 5 Not at all 18 998 Don't know 8 999 Refuse to answer 0 Sysmiss 4 S5. How often do you interact with refugee/Ugandan businesses or vendors in your area? 4024 3 1 998 1 Very often 769 2 Often 1852 3 Occasionally 1204 4 Rarely 139 5 Never 50 998 Don't know 10 999 Refuse to answer 0 Sysmiss 3 S6. If answered rarely or never, please state the reason why 1824 ,999 4 .0 1 0 448 00 14 000 1 099 1 0999 2 100 2 99 4 990 1 998 2 999 4 9999 3 Always busy 1 Always busy Farming. 1 Always busy working in the garden. 1 Associtative 1 Beascuse the refuge are not in this area 1 Because I don't know them 1 Because am of the different tribe 1 Because even since 1986 has been chairman LC1 1 Because everyone is busy with their farmwork 1 Because he is very associative 1 Because is coperative 1 Because is very associative 1 Because of language barrier 1 Because she does not move for longer distances 1 Because some refugees they do still them. 1 Because the highest population of businesses at the trading center are owned by the refugees 1 Because there good people's 1 Because they are from her 1 Because they are very social to him 1 Because they cooperate 1 1 Because they destroy the nature of their environment 1 Because they have no common interests 1 Because they help each other 1 Because they stole her goats 1 Buying and selling 1 Does not do any business 1 Doesn't see them 1 Don't dare interact with refugee communities. The government grabbed alot of land from us without any form of compensation. 1 Don't usually meet them 1 Fears them,language problem 1 Friendly 2 Frindily 1 Have no business with them 1 Have no energy to do business 1 He has abussy schedule. 1 He has just started leaving in this area so do not know many people 1 He has no business with them 1 He has nothing to share at all. 1 He is not a business man 1 He is not in the business field 1 He is taken up with his work most of the time. 1 He is very old and he can't do business 1 He's not usually around.. 1 I do not actually have any business to do. What I only do is barter trade with my fellow refugees 1 I don't always go there 1 I don't always meet them and do not know the majority 1 I don't have business to conduct most of the time, so I don't meet traders often 1 I don't know them,language problem 1 I don't move and am new in thiscommunity 1 I don't understand the language they speak 1 I don't usually see them 1 I dont paticipate in business 1 I fear because I'm aware that some people are hunting to kill me, they are linked to the ongoing war back home. 1 I have no produce to sale , we consume all the crops we grow 1 I have no time 1 I have time for my business only 1 I never have anything for sale 1 I rerely buy food 1 I stay far away from the trading center 1 Im not close to the refugees 1 It's because we are so dependent on the relief food so without it we don't have money to buy things from the market 1 It's so rare to see refugees 1 Language 3 Language Barrier 5 Language barrier 12 Language barrier problem 1 Language barrier. 1 Language difference 1 Language difficulties 1 Language issue 1 Language problem 3 Limited time of meeting. 1 Most of her neighborhood quarrel alot 1 N 2 N. A 5 N.a 1 N/A 12 N/p 1 NO 1 Na 9 Never 1 Never seen them 1 Never seen them around.. 1 Nkn 1 No 5 No any access to business men 1 No business deals 1 No bussiness 5 No money 2 No money for accessing the market every time to buy items 1 No money for starting the business 1 No money to keep purchasing items from the bussiness people 1 No neighborhoods nearby, distance problem 1 No never 3 No never recorded 1 No rare 1 No rarely 5 No rarely answer 2 No rarely recorded 20 No refugees in this area. 1 No training 1 Nobe 1 Non 24 None 496 Not Applicable 2 Not a business woman 1 Not appliacble 1 Not applicable 193 Not around 1 Not doing any business 1 Not energetic for business 1 Not engaged in business. they only do shopping when they receive cash assistance. 1 Not having any business dealing with those people 1 Not having any business to discuss about 1 Not in bussiness 1 Not much business with those groups 1 Not operating any business 1 Not so much close to the refugees 1 Not so much doing business 1 Not so much engaging in the market 1 Not usually seen 1 Nothing 1 Nothing in common 1 Nothing to talk about 1 Nothing to talk alot 1 O 82 O999 1 Occasionally 12 Often 35 Only when going there to purchase food 1 Others are good and others are bad 1 Part of them 3 Peaceful stay 2 Poor relationship with them 1 Rarely go to the host community. 1 Rarely go to the trading center 1 Refugee camps are a bit far. 1 She doesnt know where they are 1 She doesnt regularly go to the market 1 She has no any business to discuss about 1 She has no business 1 She has no business friends to interact with 1 She has no business ideas 1 She has no businessmen to discuss with 1 She has no close vendor to discuss with 1 She has nothing to discuss with them, since she is still in school 1 She is a business lady has to interact with fellow traders 1 She is new 1 She is not a business lady 2 She is not doing any business 1 She only depends on food ratio. 1 She rarely sees them 1 Take long to meet with them 1 Takes along time to see them. 1 The community is not friendly and there is a bad relationship between the refugees and the host 1 The distance is so far from here to the camp for the service 1 The host communities/citzens are far from settlement 1 The refugees are quite far away from where I stay 1 The relationship is not good. 1 The security situation here is fragile. Assailants sneek into the country from southern Sudan to perform killings. So I'm sceptic. 1 There are a lot of refugee businesses being operated at the trading centre 1 There are not always this side 1 There not with the area 1 They are always in trading center 1 They are far 2 They are not close 1 They are not near my community 1 They are not seen this side 1 They are thieves 1 They are very far away from my home 1 They are very far from us 1 They associate well 2 They call them only when they have harvests. 1 They cooperate 3 They coperate 1 They destroy people's property 1 They don't come to the village oftenly 1 They dont usually come to his household 1 They have different cultures its not easy to be with them 1 They have no any problem with neighbors 1 They have no capital 1 They occasionally steal her food in the garden 1 They only disturb the host community like fighting 1 They take long to come to our area 1 They work as a team 1 Usually come for work at her place 1 Usually not in this area 1 Very copperative 1 Very far from them 1 Very often 13 We do understand one another. 1 We don't have any business 1 because the food and relief items given are not enough even the food posho,beans cooking oil 1 hard to access them 1 language barrier 1 most of host communities are not happy with the refuguees because the refuguees receive support and for them they do not 1 most of the items they get from within the trading center in the settlement. 1 n.a 23 n/p 17 na 1 1 none 125 not 1 not app 1 not applicable 19 npne 1 o 2 occasionally 1 often 1 old age challenges 1 she only gets an opportunity when she goes to the trading center during market. 1 she only goes to the market when she receives cash assistance. 1 she rarely goes to the big market. 1 some people do not feel at ease to help others 1 sometimes they aren't free to share their life experinces with me 1 the distance is far from each other. 1 there is language barrier 2 ⁿ 1 S7. In general, how much do you trust the other groups? 4024 3 1 998 1 A lot 969 2 Moderately 2282 3 Little 726 4 Not at all 40 998 Don't know 7 999 Refuse to answer 0 Sysmiss 3 4025 2 1 998 1 A lot 2180 2 A little 1398 3 Not much 421 4 Not at all 22 998 Don't know 4 999 Refuse to answer 0 Sysmiss 2 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 X1. Have the members of your household received any formal assistance during the last 12 months? 4027 0 0 1 0 No 2376 1 Yes 1651 X2. Have the members of your household received {ASSISTANCE TYPE} during the last 12 months? 4027 0 0 1679 0 1 1 0 3 2 0 4 1 0 5 1 1 673 1 0 2 1 2 2 1 3 20 1 3 5 1 1 4 3 1 5 2 2 15 2 1 2 2 3 4 2 2 4 1 2 5 1 3 1198 3 0 1 3 1 14 3 1 2 1 3 2 3 3 2 5 1 3 4 3 3 4 1 1 3 5 136 3 5 6 2 3 5 6 1 1 3 6 4 3 6 5 1 4 20 4 3 1 4 5 3 5 169 5 1 2 5 3 31 5 3 1 1 5 6 5 6 12 6 3 1 1 6 3 5 1 6 5 6 7 1 X3_1. What is the total amount of {Cash assistance} received in total in the last 12 months from by the members of your household? 727 3300 29333.333 29749333.333 2119278.404 2182340.487 727 3300 0 3232000 207833.678 274788.181 X5_1. Who provided the {Cash assistance} received? 727 3300 1 4 1.715 1.054 1 487 2 9 3 182 4 49 Sysmiss 3300 Specify other provider: 45 0 A family friend 1 Adra 1 Avis 1 Biological children 1 Daughter 1 Family 1 Family relatives from West Nile 1 From the son 1 Give Directly 1 Her children 1 Her father is in Congo who sent her the money 1 His son in kampala 1 Individuals 1 Juliet kebirungi daughter 1 Post Bank 2 Post bank 13 Relatives 2 Saving group 2 Son 1 Son provided 1 Son to in the family 1 Their sister 1 VSLA 2 WFP 1 dan church aid 1 relative 1 relatives 1 son 1 village savings association 1 X6_1. If you remember, could you specify the name of the institutions that provided to you the {Cash assistance}? 663 0 0 4 1488000 1 A family friend 1 ADRA 48 AFI 1 AFI/WFP 1 AFORD 16 AVIS 2 AVS 3 AVS foundation 1 AVSI 9 Action aid 1 Adra 35 Adra and Avsi 5 Afford 6 Affrord 1 Afi 2 Aford 1 Agateirene saving group 2 Aguma vicent 1 Akello Prince 1 Ander Food International ( AFI ) 1 AvS 3 Avs 3 Avsi and Adra 1 Bailor Uganda 1 Banish Refugee Council 1 Barenga John 1 Caritas 1 DCA 2 Danish Refugee Council 1 FAo 1 FIN Church 1 Family 1 Give Direct 1 Give Directly 3 Give directly 5 Government 1 Government fund on the elderly people 1 Government of Uganda 3 Government of Uganda as elderly fund 1 HADS 1 Her children 1 Her daughter 1 Humanitarian Assistant Development service 1 Hunger fight 1 Kizito okuyo 1 LWF 2 Lwf 1 Mercy Corps 1 Mercy comp 1 Mercy cops 1 Minstry of internal affairs 1 Mobile money 1 Non 1 None 3 Not sure 1 Oxfam 1 PAM 2 Post Bank 2 Post bank 15 Save the chidren 1 TPO 3 UN 33 UN Women 1 UN/WFP 6 UN/Wfp 1 UNCHR 20 UNHCR 42 UNHR 1 Un 2 Unhcr 8 United nations 12 United nations agency 2 VSLA 1 VSLA(LWF) 1 WFP 129 WFP through Post bank 1 Wfp 10 Wfp/afi 1 Wold Vision 2 World Food Organisation 1 World Food Program 8 World Food Program WFP 1 World Food Programe 15 World Food Programme 17 World Food program 29 World Food programe 2 World Food programme 2 World Vision 12 World Vision Uganda 4 World food Programe 1 World food program 7 World vision 22 World vision Uganda 3 Worlds Food Program 1 afford 3 andrew foods international 2 assistance to the old from humanitarian Assistant Development service 1 can't recall 1 can't remember the name of NGO 1 dan church aid 1 dca 1 drc 1 government of uganda 1 n.a 2 natives 1 post bank 1 unhcr 12 unhcr (afod) 2 unhcr(afod) 1 unhcr,wfp 1 united nation 1 united nations agency 2 wfp 1 wold food programme 1 world food organization 1 world food program 1 world food programme 8 X7_1. When did the {Cash assistance} start? 725 3302 0 20011 2014.484 708.587 X3_2. What is the total amount of {Cash for work} received in total in the last 12 months from by the members of your household? 28 3999 40000 2550666.667 587928.571 727230.613 28 3999 0 686666.667 155642.857 200463.669 X5_2. Who provided the {Cash for work} received? 28 3999 1 4 3.643 0.87 1 2 2 1 3 2 4 23 Sysmiss 3999 Specify other provider: 23 0 By the nationals 1 Community neighborhood 1 From natives 1 Host members 1 Local Town Council 1 Native village 1 Neighboring refugees 1 Neighboring village 2 Non 1 Other farmers in the neighborhood 1 Other neighboring refugees 1 Other neighboring refuges 1 The nationals 1 Ugandan natives 1 Ugandans households 1 Working on plantations of other house holds 1 nationals 1 natives in the near by trading centre 1 neighbour 1 neighbours 3 X6_2. If you remember, could you specify the name of the institutions that provided to you the {Cash for work}? 24 0 Amoti 1 Does not remember clearly 1 Living earth uganda 2 Many 1 Nationals 2 Natives 1 Neighbors 1 Non 1 None 2 Not known 1 Refugee neighboring village 1 Refugees 1 The village or the host community 1 WFP 1 World Food Programme 1 community neighbours 1 n.a 3 other neighbours 1 traders 1 X7_2. When did the {Cash for work} start? 28 3999 0 2019 1945.107 381.211 X3_3. What is the total amount of {Relief food/food aid} received in total in the last 12 months from by the members of your household? 1421 2606 0 372000000 1536620.961 10323928.253 1421 2606 0 21600000 161885.04 645872.868 X5_3. Who provided the {Relief food/food aid} received? 1426 2601 1 4 1.25 0.665 1 1241 2 22 3 154 4 9 Sysmiss 2601 Specify other provider: 9 0 AFFCAD 1 Biological children 1 From her son 1 From the sister 1 Mercycorps 1 UF 1 Wfp and unhcr 1 avis 2 X6_3. If you remember, could you specify the name of the institutions that provided to you the {Relief food/food aid}? 1408 0 00 1 ACTED 1 ADRA 1 AFFCAD,WFP 1 AFFORD 55 AFFORD,LWF 1 AFI 4 AFOD 3 AFORD 6 Acted 1 Action Against Hunger 1 Afford 23 Afford, world food programe 1 Afi 12 Afod, wfp 2 Aford 1 Afort 14 Apileko justo 1 Avsi 1 Avsi and unhcr 1 By WFP 1 CESVE 1 CESVI, WFP 1 Cesvi 19 Delima anjaru 1 Do not remember 1 Doesn't know 1 FAO 2 Give Directly 1 Government 2 Government of Uganda 9 Government of uganda 5 Government of uganda. 1 1 Hunger fighter 1 Hunger fighters 6 Hunger fighters, WFP 1 LRP 1 LWF 9 LWF,AFFORD 2 Lutheran World Federation 1 Mercycorps 1 Minister 1 Ministry of internal affairs 2 Minstry of internal affairs 1 Opm 1 Red cross 1 UN 46 UN supplies and ACFAD that distributes 1 UN wfp 1 UN(wfp,Lfp) 1 UN-WLP,WorldVision,LFP,ActionAngaist Hunger 1 UNCHR 4 UNCR 1 UNHCR 112 UNHCR/WFP/cesvi 1 UNHR 1 UNHcR 1 Uganda government 1 Un 7 Unhcr 6 Unhcr/afi 1 Unhrc 2 United Nations Agencies 1 United Nations High Commissoner for Refugees 2 United Nations agencies 1 United Nations high commissioner for refugees 1 United nations 3 WFO and FAO 1 WFP 400 WFP and World Vision 2 WFP and World vision international 1 WFP and world vision 4 1 WFP, Action against Hunger 1 WFP, Action against hunger 1 WFP, CESVI 1 WFP, Hunger fighters 1 WFP, UNHCR 1 WFP, unhcr 2 WFp 2 Wfi/afi 1 Wfp 109 Wfp and unhcr 1 Wfp/afi 9 Wfp/world vision 7 World Food Program 6 World Food Programe 5 World Food Programme 35 World Food Programme (WFP) 2 World Food program 2 World Food programme 3 World Food programme (WFP) 1 World Vision 22 World food organisation 2 World food program 33 1 World food program and world vision. 1 World food program. 1 World food programe 2 World food programme 20 World food programme , through avsi 1 World vision 24 World vision and WFP 3 World vision, WFP 1 WorldVision 1 Wrp/UNHCR 1 afi 20 amref 1 andrew foods international 3 avis 15 avsi 9 1 avsi ,world food programme 1 avsi and save the children 1 avsi word food programme 1 avsi world food programme 4 cerford 1 dca 1 fao,unhcr 2 un,fao,unhcr and red cross 1 unchr 1 unhcr 33 unhcr (afod) 1 unhcr afi 1 unhcr and avsi 6 unhcr, avsi 1 unhcr,fao,wfp 1 unhrc 2 united nation 1 united nations 1 united nations agencies 1 united nations agency 1 wfg 1 wfp 101 wfp and world vision 2 word food program 1 world 1 1 world food program 17 world food program (WFP). 1 world food program/AFI 1 world food program/world vision 2 world food programme 32 world vision 23 world visions 1 world vison 1 X7_3. When did the {Relief food/food aid} start? 1426 2601 0 2019 1982.524 259.341 X3_4. What is the total amount of {Food for work} received in total in the last 12 months from by the members of your household? 35 3992 0 6000000 650794.371 1202061.72 35 3992 0 500000 68917.143 100979.848 X5_4. Who provided the {Food for work} received? 35 3992 1 4 2.457 1.421 1 16 2 1 3 4 4 14 Sysmiss 3992 Specify other provider: 14 0 Acted 1 Native households 1 Near by community. 1 Neighborhood 1 Neighboring host community 1 Neighbors 1 Ugandan society 1 Wolrd vision 1 fellow Ugandans 1 natives 1 neighbor 1 not received anything 1 nstives 1 some traders 1 X6_4. If you remember, could you specify the name of the institutions that provided to you the {Food for work}? 34 0 Acted 1 Afford 1 Byakatonda Mbabazi 1 Cesvi 1 In the neighborhood. 1 LWF 1 Mr.Kyarigonza 1 Native households 1 Neighbor 1 Neighboring refugees 1 UN(WFP 1 UNHCR 2 Unhcr 1 WFP 7 Wfp 1 World Food Programme 1 World Food programme 1 World vision 3 locals 1 natives 1 neighbor 1 neighbours 1 not applicable 1 traders 1 un,fao,whcr and wfp 1 X7_4. When did the {Food for work} start? 35 3992 0 2019 1959.2 340.909 X3_5. What is the total amount of {Seeds and tools} received in total in the last 12 months from by the members of your household? 354 3673 0 2448000 43824.331 147177.576 354 3673 0 204000 5019.353 18645.251 X5_5. Who provided the {Seeds and tools} received? 364 3663 1 4 2.566 0.911 1 82 2 18 3 240 4 24 Sysmiss 3663 Specify other provider: 24 0 Aah 1 Aah and lwf 1 Acav 1 African women rising 1 Blac 1 Black 1 Brac 1 CEFORD 1 Ceford 1 Cerfort 1 Cesvi 2 Fao 1 Food for the hungry 1 Grains Puls 1 Lutheran world federation 1 Lwf 1 NGO not known 1 NURI 1 No longer remembers 1 ceford 1 welt hunger 1 welt hunger hilfe 1 zoa 1 X6_5. If you remember, could you specify the name of the institutions that provided to you the {Seeds and tools}? 358 0 999 1 AAH 4 AAH, Lutheran World Federation and Cerford 1 ACAV 2 ACT alliance and LWF 1 ACTED 2 AFFORD 1 ARC 1 Aah and lwf 1 Aah lwf 2 Acav 1 Action Against Hunger 1 Action against hunger 1 Aford 1 African European Fund(AEF) 1 African women ricing/ FAO 1 African women rising 2 African women rising,food for the hungry 1 At Itula subcounty 1 BRAC 1 Blac uganda 1 Black 1 Brac 5 Brac International 3 Brac and LWF 1 Brac and lwf 1 Brac international 4 CBM 5 CBM(Karl bombe ministry) 1 CEFORD 3 CERFORD 6 CERFORD& FAO 1 CERFORT, FAO,LWF 1 CERFORT,FAO,LWF 1 Cal Bombay Ministries (CBM) 1 Caritas 1 Caro Bombay ministries 1 Cbm 4 Ceford 6 Cerford 2 Cerfort 3 Cesvi 11 Cesvi/oxfam 1 DCA 3 DRC 1 Danish Refugee Council 2 Don't remember 1 FAO 18 FAO & LWF 1 FAO,LWF 3 FAO,LWF,CERFORT 1 Fao 3 Food for the hungry 4 Food for the hungry gave them groundnuts 1 Forgotten 1 Government workers 1 Grains puls 1 Itula Subcounty 2 Itula subcounty 1 KARITAS 1 Karl bombe ministry 1 LWF 56 Lutheran World Federation 21 Lutheran World Federation (LWF) 3 Lutheran World Federation and AAH 1 LwF 1 Lwf 25 Lwf and brac 3 Mascrop 1 Mercy corp 8 Mercy corps 1 Mercycorp 1 Mercycorps 6 NRC 1 NURI 9 NURI,LWF 1 Naro 1 New Jerusalem Church 1 No longer remembers 1 Nowergian Refugee Council 1 Nowergian Refugee council (NRC) 1 Nuri 3 Nuru 1 O 1 Office of the prime minister 1 Opm 2 Opm/naads 1 Ox farm 1 Oxfam 2 PRELNOR 1 Rawo 1 Save the children 1 She says people from UN supplied them with seeds 1 UN 5 UN is what she said 1 UN provided seeds of maize and beans at Kankingi primary school 1 UN..says from refugee settlement 1 UNHCR 8 Uganda government 1 WFP 12 WORLD VISION 1 Walhunger 1 Wealth Creation Program 1 Wfp 1 World Vision 2 World vision 5 govere of uganda 1 government 1 government of Uganda 1 luthorford federation 1 none 4 nuri 1 rice 3 unhcr 1 welt hunger 5 welt hunger hilfe 1 world visions 1 zoa 2 X7_5. When did the {Seeds and tools} start? 364 3663 2010 2019 2018.58 0.773 2010 1 2013 1 2015 1 2017 7 2018 120 2019 234 Sysmiss 3663 X3_6. What is the total amount of {Livestock} received in total in the last 12 months from by the members of your household? 31 3996 10 2500000 391774.516 669313.568 31 3996 0 160000 10322.581 32091.938 X5_6. Who provided the {Livestock} received? 33 3994 1 4 2.727 0.674 1 2 2 7 3 22 4 2 Sysmiss 3994 Specify other provider: 2 0 LWF 1 Lwf 1 X6_6. If you remember, could you specify the name of the institutions that provided to you the {Livestock}? 32 0 Blac international 1 Brac 4 CDO trained by Lambert 1 CERFORT 1 GLOBAL AIM 2 Itula subcounty,NUSAF3 2 LWF 2 Lutheran World Federation 1 Lwf 1 Naads 1 Nusuf 2 Opm 2 Ukobac 1 WFP 2 World Vision 4 World Vision and Caritas 1 World vision 2 catholic relief services 1 ceford 1 X7_6. When did the {Livestock} start? 33 3994 2002 2019 2017.606 3.596 2002 1 2010 2 2016 2 2017 2 2018 1 2019 25 Sysmiss 3994 X3_7. What is the total amount of {Pension} received in total in the last 12 months from by the members of your household? 1 4026 1200000 1200000 1200000 1200000 1 Sysmiss 4026 1 4026 100000 100000 100000 100000 1 Sysmiss 4026 X5_7. Who provided the {Pension} received? 1 4026 4 4 4 4 1 Sysmiss 4026 Specify other provider: 1 0 Chairman lc1 1 X6_7. If you remember, could you specify the name of the institutions that provided to you the {Pension}? 1 0 Chairmanship 1 X7_7. When did the {Pension} start? 1 4026 1986 1986 1986 1986 1 Sysmiss 4026 X8. Have the members of your household received informal assistance in the last 12 months? 4027 0 0 1 0 No 3684 1 Yes 343 343 3684 0 6300000 397604.953 794490.858 343 3684 0 3249322 67945.571 311802.681 X11. From where did you mainly receive informal assistance? 343 3684 1 5 1 Here (within site/village) 141 2 Neighbouring village 44 3 Closest town 67 4 Outside the country 52 5 Other (specify) 39 Sysmiss 3684 Specify other 39 0 Around Mbarara 1 Brother 3 Brother within Uganda 1 Brothers 1 By UNHCR 1 Children 1 Closest relatives in Sudan 1 Friend 1 From bweyale 1 From children 1 From her daughter 2 From her sister 1 From his son 1 From land hire 1 From my elder brother 1 From relatives 2 From the children 1 From the church. 1 From the former husband for their children 1 From the relative 1 Husband 1 Kampala town 1 My son 1 NGOs 1 Oo 1 Relative from kampala 1 Relative in Kampala 1 Relative living in Kampala 1 Relatives in Kampala 1 Sudan 1 Un 1 a relative. 1 daughter 1 relative. 1 relatives 1 Have the members of your household provided/given out informal assistance in the last 12 months? 343 3684 0 1 0 No 280 1 Yes 63 Sysmiss 3684 63 3964 0 800000 59103.175 125881.766 63 3964 0 80000 5646.032 13548.953 Where did you mainly send the informal assistance? 63 3964 1 3 1 Here (within site/village) 44 2 Neighbouring village 10 3 Closest town 9 4 Outside the country 0 5 Other (specify) 0 Sysmiss 3964 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 Which of the following did the household spend on in the LAST 12 months? 4027 0 0 264 0 1 2 2 0 1 2 3 5 6 1 0 19 1 0 2 1 0 3 2 0 3 5 6 1 0 6 1 1 304 1 0 3 1 10 3 1 10 11 1 1 10 3 1 1 10 6 3 1 1 11 3 1 11 19 1 1 11 6 1 1 13 1 1 14 19 1 1 16 2 1 16 14 1 1 16 3 2 1 1 16 6 1 1 17 2 1 18 1 1 19 51 1 19 2 5 1 19 2 14 1 1 19 2 3 14 1 1 19 3 4 1 2 314 1 2 0 2 1 2 10 2 1 2 10 11 6 14 1 1 2 10 14 1 1 2 10 14 11 3 1 1 2 10 6 1 1 2 11 5 1 2 11 10 6 14 2 1 2 11 14 1 1 2 11 6 1 1 2 11 6 3 1 1 2 11 6 5 1 1 2 12 3 1 2 12 14 1 1 2 14 5 1 2 14 10 6 1 1 2 14 11 1 1 2 14 15 1 1 2 14 15 3 1 1 2 14 17 13 1 1 2 14 6 1 1 2 15 19 1 1 2 16 5 1 2 16 10 1 1 2 16 11 1 1 2 16 18 1 1 2 16 3 1 1 2 16 4 6 1 1 2 16 6 1 1 2 17 15 1 1 2 17 19 1 1 2 18 4 1 2 18 19 1 1 2 19 43 1 2 19 14 1 1 2 19 3 1 1 2 19 3 4 1 1 2 19 4 5 1 1 2 19 5 10 1 1 2 19 5 3 1 1 2 3 346 1 2 3 0 1 1 2 3 10 15 1 2 3 10 16 1 1 2 3 10 19 1 1 2 3 10 6 1 1 2 3 11 13 1 2 3 11 12 6 1 1 2 3 11 15 1 1 2 3 11 6 1 1 2 3 12 1 1 2 3 13 11 15 16 1 1 2 3 14 5 1 2 3 14 6 1 1 2 3 15 6 14 1 1 2 3 15 9 1 1 2 3 16 6 1 2 3 16 18 1 1 2 3 16 4 1 1 2 3 16 5 6 1 1 2 3 16 6 2 1 2 3 16 6 11 1 1 2 3 16 6 12 1 1 2 3 17 15 14 13 12 1 1 2 3 17 5 1 1 2 3 18 9 1 2 3 18 4 6 1 1 2 3 19 38 1 2 3 19 14 1 1 2 3 19 14 13 11 1 1 2 3 19 16 1 1 2 3 4 15 1 2 3 4 16 1 1 2 3 4 19 2 1 2 3 4 5 16 1 2 3 4 5 11 17 1 1 2 3 4 5 15 1 1 2 3 4 5 16 18 1 1 2 3 4 5 16 6 1 1 2 3 4 5 17 18 1 1 2 3 4 5 18 1 1 2 3 4 5 18 6 1 1 2 3 4 5 19 4 1 2 3 4 5 6 11 1 2 3 4 5 6 10 3 1 2 3 4 5 6 10 11 1 1 2 3 4 5 6 10 11 12 1 1 2 3 4 5 6 10 11 14 1 1 2 3 4 5 6 11 1 1 2 3 4 5 6 16 2 1 2 3 4 5 6 18 3 1 2 3 4 5 6 18 15 1 1 2 3 4 5 6 19 1 1 2 3 4 5 6 7 9 10 11 16 14 13 18 1 1 2 3 4 5 6 9 1 1 2 3 4 5 6 9 14 1 1 2 3 4 5 6 9 19 1 1 2 3 4 6 7 1 2 3 4 6 13 14 15 1 1 2 3 4 6 5 1 1 2 3 4 6 7 1 1 2 3 4 6 7 9 10 14 1 1 2 3 4 6 9 10 1 1 2 3 5 97 1 2 3 5 10 5 1 2 3 5 10 12 11 1 1 2 3 5 10 16 1 1 2 3 5 11 2 1 2 3 5 11 14 1 1 2 3 5 11 18 1 1 2 3 5 11 19 1 1 2 3 5 11 6 1 1 2 3 5 14 4 1 2 3 5 16 7 1 2 3 5 16 6 1 1 2 3 5 17 1 1 2 3 5 18 1 1 2 3 5 19 3 1 2 3 5 4 3 1 2 3 5 4 6 2 1 2 3 5 4 6 9 11 1 1 2 3 5 6 48 1 2 3 5 6 10 4 1 2 3 5 6 10 11 14 1 1 2 3 5 6 11 5 1 2 3 5 6 11 14 18 1 1 2 3 5 6 11 15 1 1 2 3 5 6 14 1 1 2 3 5 6 14 7 11 1 1 2 3 5 6 15 11 1 1 2 3 5 6 16 1 1 2 3 5 6 17 11 1 1 2 3 5 6 18 1 1 2 3 5 6 7 9 11 14 15 17 1 1 2 3 5 6 9 1 1 2 3 5 6 9 10 1 1 2 3 5 9 1 1 2 3 5 9 10 1 1 2 3 5 9 11 2 1 2 3 5 9 11 6 1 1 2 3 6 105 1 2 3 6 10 4 1 2 3 6 10 11 14 13 1 1 2 3 6 10 14 1 1 2 3 6 10 17 1 1 2 3 6 11 1 1 2 3 6 11 15 3 1 2 3 6 14 3 1 2 3 6 14 11 1 1 2 3 6 15 1 1 2 3 6 15 19 1 1 2 3 6 16 8 1 2 3 6 17 1 1 2 3 6 18 3 1 2 3 6 19 4 1 2 3 6 4 1 1 2 3 6 5 5 1 2 3 6 5 11 1 1 2 3 6 5 11 15 1 1 2 3 6 5 15 1 1 2 3 6 5 19 1 1 2 3 6 5 4 1 1 2 3 6 7 2 1 2 3 6 7 9 1 1 2 3 6 7 9 10 11 1 1 2 3 6 8 2 1 2 3 6 8 11 1 1 2 3 6 9 1 1 2 3 6 9 10 11 1 1 2 3 6 9 10 19 1 1 2 3 6 9 11 1 1 2 3 6 9 5 1 1 2 3 7 3 1 2 3 9 5 1 2 3 9 10 1 1 2 3 9 10 11 14 15 1 1 2 3 9 6 1 1 2 4 9 1 2 4 14 1 1 2 4 3 1 1 2 4 3 5 6 2 1 2 4 3 5 6 16 1 1 2 4 5 1 1 2 4 6 0 1 1 2 4 7 11 1 1 2 5 26 1 2 5 16 1 1 2 5 19 2 1 2 5 3 2 1 2 5 6 4 1 2 5 6 10 1 1 2 5 6 11 1 1 2 5 6 15 1 1 2 5 6 16 1 1 2 5 6 3 19 1 1 2 5 6 9 10 1 1 2 6 100 1 2 6 10 11 1 2 6 10 11 1 1 2 6 10 14 1 1 2 6 10 16 2 1 2 6 10 19 11 1 1 2 6 11 7 1 2 6 11 14 16 17 1 1 2 6 11 15 1 1 2 6 11 3 2 1 2 6 14 11 2 1 2 6 15 2 1 2 6 16 3 1 2 6 16 3 1 1 2 6 17 1 1 2 6 19 1 1 2 6 3 6 1 2 6 3 11 1 1 2 6 3 5 1 1 2 6 4 1 1 2 6 5 1 1 2 6 5 11 9 1 1 2 6 7 11 1 1 2 6 7 5 1 1 2 6 7 9 11 15 1 1 2 6 8 1 1 2 6 9 1 1 2 6 9 14 11 1 1 2 9 2 1 2 9 11 1 1 2 9 15 1 1 3 164 1 3 10 3 1 3 10 14 1 1 3 10 5 1 1 3 10 6 5 1 1 3 11 2 1 1 3 11 6 1 1 3 16 2 1 3 16 18 1 1 3 17 2 1 3 18 4 1 3 19 17 1 3 2 42 1 3 2 10 4 1 3 2 10 5 1 1 3 2 11 1 1 3 2 11 17 19 14 1 1 3 2 11 9 1 1 3 2 14 6 1 1 3 2 15 6 1 1 3 2 16 1 1 3 2 17 1 1 3 2 19 4 1 3 2 19 5 1 1 3 2 4 5 1 1 3 2 4 5 6 18 1 1 3 2 5 9 1 3 2 5 10 1 1 3 2 5 10 19 1 1 3 2 5 14 1 1 3 2 5 16 1 1 3 2 5 19 1 1 3 2 5 4 10 1 1 3 2 5 6 2 1 3 2 5 6 10 1 1 3 2 5 6 11 1 1 3 2 6 1 1 3 2 6 10 1 1 3 2 6 14 1 1 3 2 6 15 14 13 11 1 1 3 2 6 16 1 1 3 2 6 19 1 1 3 2 9 2 1 3 4 6 1 3 4 5 5 1 3 4 5 16 1 1 3 4 5 6 3 1 3 4 5 6 11 14 16 1 1 3 4 5 6 11 18 1 1 3 4 5 6 16 1 1 3 4 5 6 16 2 1 1 3 4 6 1 1 3 5 41 1 3 5 0 1 1 3 5 10 1 1 3 5 11 1 1 3 5 18 1 1 3 5 19 1 1 3 5 2 1 1 3 5 6 12 1 3 5 6 10 1 1 3 5 6 11 14 1 1 3 5 6 11 18 1 1 3 5 6 2 1 1 3 5 6 9 19 1 1 3 6 33 1 3 6 10 1 1 3 6 10 5 1 1 3 6 11 2 1 3 6 14 2 1 3 6 16 1 1 3 6 2 1 1 3 6 4 1 1 3 6 5 2 1 3 6 9 11 16 1 1 3 6 9 17 1 1 3 7 16 15 17 1 1 3 9 1 1 3 9 6 19 1 1 4 1 1 4 19 1 1 4 3 5 1 1 4 3 6 5 1 1 4 5 6 1 1 4 6 3 2 1 1 5 18 1 5 18 1 1 5 2 1 1 5 2 3 1 1 5 3 2 1 5 3 2 2 1 5 3 6 2 1 5 4 1 1 5 4 3 2 1 1 5 6 4 1 5 6 19 1 1 6 38 1 6 10 2 1 6 11 1 1 6 14 1 1 6 16 2 1 6 19 4 3 1 1 6 2 2 1 6 2 10 1 1 6 3 5 1 6 3 11 1 1 6 5 1 1 6 5 11 3 1 1 6 9 11 1 1 7 1 1 9 2 10 2 10 1 2 6 11 14 1 10 19 3 10 19 0 1 10 2 1 3 1 10 2 19 1 11 2 11 1 2 3 1 11 17 2 1 11 2 1 11 6 1 11 6 3 1 1 14 1 14 1 1 14 3 7 1 14 5 3 2 10 1 1 14 7 11 5 3 4 2 1 1 15 1 2 1 15 2 1 1 15 6 2 1 16 5 16 0 1 16 1 2 1 16 2 1 16 2 1 3 1 17 19 1 1 17 2 3 6 11 1 17 7 11 1 18 3 18 1 2 3 1 18 3 2 1 5 1 19 106 19 1 7 19 1 2 4 19 1 2 3 1 19 1 2 3 11 1 19 1 2 3 6 1 19 1 2 3 6 11 1 19 1 2 5 1 19 1 2 6 1 19 1 2 6 3 1 19 1 3 5 1 19 1 5 3 1 19 10 2 19 16 2 6 1 1 19 17 2 19 2 2 19 2 1 3 6 11 14 1 19 2 3 1 19 3 1 19 3 1 1 2 216 2 0 1 2 1 103 2 1 0 1 2 1 0 3 1 2 1 11 1 2 1 14 1 2 1 15 3 17 6 1 2 1 17 1 2 1 19 12 2 1 19 3 1 2 1 3 45 2 1 3 10 1 2 1 3 11 18 1 2 1 3 11 6 1 2 1 3 12 1 2 1 3 14 3 2 1 3 19 1 2 1 3 4 1 2 1 3 4 19 1 2 1 3 4 5 1 2 1 3 4 5 16 1 2 1 3 4 5 6 9 10 11 12 13 15 16 1 2 1 3 4 6 2 2 1 3 5 10 2 1 3 5 16 1 2 1 3 5 16 6 1 2 1 3 5 19 1 2 1 3 5 4 1 2 1 3 5 6 9 2 1 3 5 6 11 9 1 2 1 3 5 6 17 11 1 2 1 3 5 6 19 2 2 1 3 6 16 2 1 3 6 11 2 2 1 3 6 11 15 5 1 2 1 3 6 4 16 1 2 1 3 6 9 1 2 1 3 7 1 2 1 3 7 9 1 2 1 3 8 7 6 5 17 10 1 2 1 3 9 6 1 2 1 3 9 6 7 1 2 1 4 18 1 2 1 5 2 2 1 5 6 2 2 1 5 6 11 1 2 1 5 6 18 1 2 1 6 13 2 1 6 19 1 2 1 6 3 2 2 1 6 9 1 2 1 9 2 2 10 14 5 16 1 2 11 3 2 11 1 6 1 2 13 1 2 14 3 2 14 1 1 2 16 1 2 17 1 2 18 1 2 18 1 1 2 19 26 2 19 1 4 2 19 6 1 2 3 73 2 3 0 1 2 3 1 32 2 3 1 0 1 2 3 1 16 1 2 3 1 19 2 2 3 1 4 5 6 1 2 3 1 5 1 2 3 1 6 4 2 3 1 6 11 1 2 3 1 6 16 1 2 3 1 9 1 2 3 13 1 2 3 14 16 15 1 2 3 18 1 2 3 19 7 2 3 19 16 1 1 2 3 19 6 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 2 2 3 4 6 10 1 2 3 5 13 2 3 5 1 2 2 3 5 1 14 1 2 3 5 11 1 2 3 5 18 1 1 2 3 5 19 1 2 3 5 6 4 2 3 5 6 1 1 2 3 5 6 10 11 1 2 3 6 18 2 3 6 1 3 2 3 6 10 11 14 1 2 3 6 11 1 2 3 6 11 15 1 2 3 6 12 1 2 3 6 15 11 1 2 3 6 16 2 2 3 6 17 19 1 2 3 6 19 1 2 3 6 5 4 2 3 6 9 0 1 2 5 7 2 5 1 1 2 5 10 1 2 5 19 1 2 5 3 1 2 5 3 1 1 2 5 6 3 2 5 6 1 3 1 2 5 6 3 1 2 6 33 2 6 1 1 2 6 1 11 3 1 2 6 1 3 5 1 2 6 11 1 2 6 14 1 2 6 15 1 2 6 16 1 2 6 18 1 2 6 3 2 2 6 3 1 1 2 6 9 1 2 9 1 2 9 5 19 1 3 94 3 1 28 3 1 10 1 3 1 16 1 3 1 18 1 3 1 19 4 3 1 2 7 3 1 2 5 2 3 1 4 6 10 11 1 3 1 5 3 3 1 5 11 1 3 1 5 4 1 3 1 5 4 2 18 1 3 1 5 6 1 3 1 6 1 3 1 6 5 2 3 16 1 3 19 13 3 19 18 1 3 19 5 1 3 2 13 3 2 0 1 3 2 1 15 3 2 1 10 1 3 2 1 11 1 3 2 1 14 1 3 2 1 16 2 3 2 1 5 1 3 2 1 5 6 1 3 2 1 6 3 3 2 5 1 3 2 5 1 1 3 2 5 18 1 3 2 5 4 1 6 1 3 2 5 6 1 3 4 3 3 4 5 1 3 4 6 1 3 5 29 3 5 1 2 3 5 1 6 11 1 3 5 2 2 3 5 4 2 3 5 4 6 1 3 5 6 3 3 6 5 3 6 1 1 4 5 4 1 1 4 1 2 1 4 5 9 11 1 4 6 1 2 3 1 5 7 5 1 3 5 1 2 1 5 1 2 3 1 5 1 3 1 5 2 2 5 2 3 1 5 3 5 5 3 1 2 5 3 2 1 6 1 5 6 3 1 6 13 6 1 1 6 1 19 1 6 1 2 1 6 1 2 3 1 6 1 2 4 1 6 19 1 6 2 2 6 2 1 3 6 2 1 16 1 6 2 1 19 1 6 2 1 3 1 6 2 1 3 16 1 6 2 3 1 6 3 17 1 6 3 2 2 6 3 2 1 15 1 6 9 7 2 1 3 5 1 8 19 1 9 1 2 10 1 e4/1 4027 0 0 1 0 No 1082 1 Yes 2945 e4/2 4027 0 0 1 0 No 1461 1 Yes 2566 e4/3 4027 0 0 1 0 No 2004 1 Yes 2023 e4/4 4027 0 0 1 0 No 3838 1 Yes 189 e4/5 4027 0 0 1 0 No 3366 1 Yes 661 e4/6 4027 0 0 1 0 No 3158 1 Yes 869 e4/7 4027 0 0 1 0 No 4001 1 Yes 26 e4/8 4027 0 0 1 0 No 4021 1 Yes 6 e4/9 4027 0 0 1 0 No 3959 1 Yes 68 e4/10 4027 0 0 1 0 No 3892 1 Yes 135 e4/11 4027 0 0 1 0 No 3861 1 Yes 166 e4/12 4027 0 0 1 0 No 4014 1 Yes 13 e4/13 4027 0 0 1 0 No 4015 1 Yes 12 e4/14 4027 0 0 1 0 No 3934 1 Yes 93 e4/15 4027 0 0 1 0 No 3984 1 Yes 43 e4/16 4027 0 0 1 0 No 3916 1 Yes 111 e4/17 4027 0 0 1 0 No 3992 1 Yes 35 e4/18 4027 0 0 1 0 No 3966 1 Yes 61 e4/19 4027 0 0 1 0 No 3580 1 Yes 447 e4/0 4027 0 0 1 0 No 3737 1 Yes 290 Specify other Income Source: 446 0 Acarricides 1 Airtime and food 1 Basic necessities like soap, tooth paste 1 Basic necessities like soap, vaseline, toothpaste, thatch 1 Basic necessities such as; soap, vaseline, 1 Building a house 1 Building house 1 Building the house 1 Buy food 1 Buying 1 Buying Food 11 Buying charcoal 1 Buying food 33 Buying food and cosmetics 1 Buying food and fuel. 1 Buying food items 1 Buying foods 1 Buying land 1 Buying of food 1 Charcoal 2 Condiments 1 Construction 1 Construction of the huts 1 Feeding 16 Feeding in the household 1 Feeds for chicks 1 Firewood 2 Food 248 Food & transport 1 Food and Fuel (Charcoal) 1 Food and charcoal 1 Food and soap. 1 Food stuff 1 Food, soap, salt 1 Food. 2 Foods 3 Foodstuffs 1 Foood 2 Funeral 1 Grinding 2 Grinding Mzaize 1 Grinding cereals 1 Grinding maize 1 Grinding mill 5 Hired Land 1 Hiring Land 1 Hiring land 1 Hiring land for cultivation 1 Home food 1 House construction 1 1 Household items like soap, vaseline,toothpaste 1 Household necessities like soap, vaseline, 1 Household necessities loke soap, sugar, cooking oil 1 Land 1 Livestock 1 Motor repair and food 1 None 1 Purchased land 1 Purchasing food 2 Rent of land 1 Renting land 3 Roofing the house 1 Salon chemicals 1 Since she is alone most of the time she gets assistance from her children 1 Soap and food 1 Transport 1 Water 17 basic necessities like soap, salt , tooth paste 1 basic needs like, soap, salt, 1 basin 1 feeding 1 food 4 food and transportation 1 food, milling, soap, transportation, 1 food, milling,soap 1 food, soap 5 food, soap, milling, basin, bucket 1 food, soap,milling 1 food, transportation, soap 1 food,salt,transportation 1 food,soap, 1 food,soap,milling, transportation 1 food,soap,milling,transport 1 grinding 2 house construction, soap, salt, toothpaste, tooth brushes 1 jerrycans, basins, 1 laundry soap, salt, oil, sugar, jerricans 1 matresses, soap, salt 1 milling, transport 1 milling,transport,soap 1 salt, soap, food 1 salt, soap, transportation 1 soap 1 soap, cooking oil 1 soap, food 1 soap, jerricans, 1 soap, salt, 2 soap, salt, oil, toothpaste , sugar 1 soap,charcoal,food 1 soap,food 2 transportation, milling, 1 2944 1083 0 10000000 195441.065 393050.732 2565 1462 0 36000000 526901.246 1358006.961 2023 2004 0 4000000 126306.629 182255.374 189 3838 0 2000000 129677.249 281542.241 661 3366 0 510000 42687.141 54669.225 869 3158 0 850000 61206.755 72322.315 e5_6. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 866 3161 1 12 1 other refugee hhs 51 2 native hhs 4 3 trader 183 4 other(specify) 7 5 2 3 5 6 2 4 2 7 3 448 8 3 1 1 9 3 1 2 1 10 3 2 11 11 3 2 1 2 12 4 151 Sysmiss 3161 e5_6/1 866 3161 0 1 0 No 800 1 Yes 66 Sysmiss 3161 e5_6/2 866 3161 0 1 0 No 651 1 Yes 215 Sysmiss 3161 e5_6/3 866 3161 0 1 0 No 398 1 Yes 468 Sysmiss 3161 e5_6/4 866 3161 0 1 0 No 713 1 Yes 153 Sysmiss 3161 Specify other: 111 0 0 5 0wn production 1 9999 1 Agro input dealers 1 Agro inputs dealers 1 Bought crivela trees from an Agricultural shop 1 Gathering vegetables 1 Gift 1 Hunting and gathering 1 Market 19 Market vendors 1 Mercy cops 1 No 1 None 36 Not applicable 11 Own farm 1 Own production 14 Store 1 Vendors 1 not applicable 2 own farm 8 own production 2 What percentage of {other refugee households} did you buy from? 66 3961 0 100 68 33.792 What percentage of {native households} did you buy from? 215 3812 0 100 72.1 37.166 What percentage of {traders} did you buy from? 468 3559 0 100 80.897 26.98 What percentage of ${e5_6other} did you buy from? 153 3874 0 100 34.314 46.611 e6_6. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 866 3161 1 22 1 here 172 2 neighbour,village 8 3 closest town 1 4 trade,centers 1 5 itinerant trader 13 6 other 1 7 2 78 8 2 1 4 9 2 1 4 1 10 2 3 1 11 2 3 4 1 12 2 4 2 13 3 43 14 3 4 13 15 4 359 16 4 1 6 17 4 1 3 1 18 4 2 4 19 4 2 1 5 1 20 4 3 16 21 5 9 22 6 131 Sysmiss 3161 e6_6/1 866 3161 0 1 0 No 657 1 Yes 209 Sysmiss 3161 e6_6/2 866 3161 0 1 0 No 764 1 Yes 102 Sysmiss 3161 e6_6/3 866 3161 0 1 0 No 788 1 Yes 78 Sysmiss 3161 e6_6/4 866 3161 0 1 0 No 447 1 Yes 419 Sysmiss 3161 e6_6/5 866 3161 0 1 0 No 856 1 Yes 10 Sysmiss 3161 e6_6/6 866 3161 0 1 0 No 735 1 Yes 131 Sysmiss 3161 Specify other: 86 0 0 7 100 1 Bweyale Market 1 Gift 1 Kitgum 1 Market 9 Mercy cops 1 Neighbours vending 1 Ngo 1 None 32 Not applicable 13 Own farm 1 Own production 9 home garden 1 n.a 1 not applicable 2 own farm 3 own production 1 26 4001 5000 560000 79769.231 109406.876 e5_7. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 26 4001 1 4 1 other refugee hhs 1 2 native hhs 4 3 trader 16 4 other(specify) 5 Sysmiss 4001 e5_7/1 26 4001 0 1 0 No 25 1 Yes 1 Sysmiss 4001 e5_7/2 26 4001 0 1 0 No 22 1 Yes 4 Sysmiss 4001 e5_7/3 26 4001 0 1 0 No 10 1 Yes 16 Sysmiss 4001 e5_7/4 26 4001 0 1 0 No 21 1 Yes 5 Sysmiss 4001 Specify other: 3 0 He grows them 1 None 1 Own production 1 What percentage of {other refugee households} did you buy from? 1 4026 80 80 80 80 1 Sysmiss 4026 What percentage of {native households} did you buy from? 4 4023 80 100 95 10 80 1 100 3 Sysmiss 4023 What percentage of {traders} did you buy from? 16 4011 20 100 90 22.804 What percentage of ${e5_7other} did you buy from? 5 4022 0 100 56 51.769 e6_7. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 26 4001 1 7 1 here 4 2 neighbour,village 1 3 closest town 3 4 trade,centers 1 5 itinerant trader 12 6 other 1 7 6 4 Sysmiss 4001 e6_7/1 26 4001 0 1 0 No 21 1 Yes 5 Sysmiss 4001 e6_7/2 26 4001 0 1 0 No 25 1 Yes 1 Sysmiss 4001 e6_7/3 26 4001 0 1 0 No 22 1 Yes 4 Sysmiss 4001 e6_7/4 26 4001 0 1 0 No 12 1 Yes 14 Sysmiss 4001 e6_7/5 26 4001 0 0 0 0 0 26 Sysmiss 4001 e6_7/6 26 4001 0 1 0 No 22 1 Yes 4 Sysmiss 4001 Specify other: 2 0 Market 1 Own production 1 6 4021 0 300000 82500 117036.319 e5_8. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 4 4023 1 3 1 other refugee hhs 1 2 native hhs 2 3 trader 1 4 other(specify) 0 Sysmiss 4023 e5_8/1 4 4023 0 0 0 0 0 4 Sysmiss 4023 e5_8/2 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 e5_8/3 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 e5_8/4 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 Specify other: 1 0 One production 1 What percentage of {native households} did you buy from? 1 4026 80 80 80 80 1 Sysmiss 4026 What percentage of {traders} did you buy from? 2 4025 100 100 100 0 100 2 Sysmiss 4025 What percentage of ${e5_8other} did you buy from? 1 4026 0 0 0 0 1 Sysmiss 4026 e6_8. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 4 4023 1 3 1 here 1 2 neighbour,village 2 3 closest town 1 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4023 e6_8/1 4 4023 0 0 0 0 0 4 Sysmiss 4023 e6_8/2 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 e6_8/3 4 4023 0 0 0 0 0 4 Sysmiss 4023 e6_8/4 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 e6_8/5 4 4023 0 0 0 0 0 4 Sysmiss 4023 e6_8/6 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 Specify other: 1 0 Own production 1 68 3959 0 1680000 74589.706 208798.895 e5_9. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 67 3960 1 5 1 other refugee hhs 3 2 native hhs 8 3 trader 2 4 other(specify) 39 5 4 15 Sysmiss 3960 e5_9/1 67 3960 0 1 0 No 64 1 Yes 3 Sysmiss 3960 e5_9/2 67 3960 0 1 0 No 57 1 Yes 10 Sysmiss 3960 e5_9/3 67 3960 0 1 0 No 26 1 Yes 41 Sysmiss 3960 e5_9/4 67 3960 0 1 0 No 52 1 Yes 15 Sysmiss 3960 Specify other: 6 0 0 1 Hunting 1 None 2 Own production 2 What percentage of {other refugee households} did you buy from? 3 4024 90 100 96.667 5.774 90 1 100 2 Sysmiss 4024 What percentage of {native households} did you buy from? 10 4017 0 100 56.5 37.568 What percentage of {traders} did you buy from? 41 3986 20 100 81.951 27.769 What percentage of ${e5_9other} did you buy from? 15 4012 0 100 47 51.332 e6_9. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 67 3960 1 10 1 here 10 2 neighbour,village 1 3 closest town 1 4 trade,centers 2 5 itinerant trader 2 6 other 8 7 3 4 2 8 4 28 9 5 1 10 6 12 Sysmiss 3960 e6_9/1 67 3960 0 1 0 No 53 1 Yes 14 Sysmiss 3960 e6_9/2 67 3960 0 1 0 No 62 1 Yes 5 Sysmiss 3960 e6_9/3 67 3960 0 1 0 No 57 1 Yes 10 Sysmiss 3960 e6_9/4 67 3960 0 1 0 No 36 1 Yes 31 Sysmiss 3960 e6_9/5 67 3960 0 1 0 No 66 1 Yes 1 Sysmiss 3960 e6_9/6 67 3960 0 1 0 No 55 1 Yes 12 Sysmiss 3960 Specify other: 4 0 Gathering 1 None 1 Own production 2 135 3892 0 400000 43639.274 67822.529 e5_10. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 134 3893 1 9 1 other refugee hhs 16 2 native hhs 1 3 trader 21 4 other(specify) 1 5 2 3 3 6 3 66 7 3 1 1 8 3 2 1 9 4 24 Sysmiss 3893 e5_10/1 134 3893 0 1 0 No 115 1 Yes 19 Sysmiss 3893 e5_10/2 134 3893 0 1 0 No 107 1 Yes 27 Sysmiss 3893 e5_10/3 134 3893 0 1 0 No 62 1 Yes 72 Sysmiss 3893 e5_10/4 134 3893 0 1 0 No 110 1 Yes 24 Sysmiss 3893 Specify other: 16 0 Distributed by Denis refugee council 1 Freely received after requesting homes in the neighborhood 1 None 8 Not applicable 2 Own production 2 Store 1 not applicable 1 What percentage of {other refugee households} did you buy from? 19 4008 2 100 82.211 33.822 What percentage of {native households} did you buy from? 27 4000 0 100 76.185 33.035 What percentage of {traders} did you buy from? 72 3955 0 100 84.347 29.34 What percentage of ${e5_10other} did you buy from? 24 4003 0 100 19.917 39.828 e6_10. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 134 3893 1 13 1 here 31 2 neighbour,village 2 3 closest town 1 4 trade,centers 1 5 itinerant trader 7 6 other 1 7 3 5 8 4 62 9 4 1 2 1 10 4 2 4 11 4 3 1 12 5 4 1 13 6 17 Sysmiss 3893 e6_10/1 134 3893 0 1 0 No 98 1 Yes 36 Sysmiss 3893 e6_10/2 134 3893 0 1 0 No 118 1 Yes 16 Sysmiss 3893 e6_10/3 134 3893 0 1 0 No 128 1 Yes 6 Sysmiss 3893 e6_10/4 134 3893 0 1 0 No 62 1 Yes 72 Sysmiss 3893 e6_10/5 134 3893 0 1 0 No 133 1 Yes 1 Sysmiss 3893 e6_10/6 134 3893 0 1 0 No 117 1 Yes 17 Sysmiss 3893 Specify other: 10 0 0 1 None 4 Not applicable 2 Own production 2 not applicable 1 166 3861 0 2400000 283259.94 387916.337 e5_11. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 165 3862 1 10 1 other refugee hhs 17 2 native hhs 11 3 trader 1 4 other(specify) 60 5 2 1 6 6 2 3 2 7 3 35 8 3 2 2 9 3 4 1 10 4 30 Sysmiss 3862 e5_11/1 165 3862 0 1 0 No 130 1 Yes 35 Sysmiss 3862 e5_11/2 165 3862 0 1 0 No 84 1 Yes 81 Sysmiss 3862 e5_11/3 165 3862 0 1 0 No 124 1 Yes 41 Sysmiss 3862 e5_11/4 165 3862 0 1 0 No 134 1 Yes 31 Sysmiss 3862 Specify other: 19 0 0 2 From own production 1 None 7 Not applicable 1 Own production 3 not applicable 5 What percentage of {other refugee households} did you buy from? 35 3992 1 100 61.914 29.814 What percentage of {native households} did you buy from? 81 3946 5 100 69.901 29.77 What percentage of {traders} did you buy from? 41 3986 0 100 78.293 30.895 What percentage of ${e5_11other} did you buy from? 31 3996 0 100 30.968 46.141 e6_11. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 165 3862 1 16 1 here 63 2 neighbour,village 6 3 closest town 5 4 trade,centers 14 5 itinerant trader 6 6 other 2 7 2 3 4 1 8 2 4 2 9 2 4 5 1 10 3 2 11 4 35 12 4 1 2 13 4 2 1 14 4 3 1 15 5 1 16 6 23 Sysmiss 3862 e6_11/1 165 3862 0 1 0 No 83 1 Yes 82 Sysmiss 3862 e6_11/2 165 3862 0 1 0 No 132 1 Yes 33 Sysmiss 3862 e6_11/3 165 3862 0 1 0 No 159 1 Yes 6 Sysmiss 3862 e6_11/4 165 3862 0 1 0 No 117 1 Yes 48 Sysmiss 3862 e6_11/5 165 3862 0 1 0 No 163 1 Yes 2 Sysmiss 3862 e6_11/6 165 3862 0 1 0 No 142 1 Yes 23 Sysmiss 3862 Specify other: 13 0 0 1 From own production 1 None 5 Not applicable 1 Own production 1 not applicable 4 13 4014 9000 160000 66615.385 54091.802 e5_12. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 13 4014 1 4 1 other refugee hhs 1 2 native hhs 5 3 trader 6 4 other(specify) 1 Sysmiss 4014 e5_12/1 13 4014 0 1 0 No 12 1 Yes 1 Sysmiss 4014 e5_12/2 13 4014 0 1 0 No 7 1 Yes 6 Sysmiss 4014 e5_12/3 13 4014 0 1 0 No 7 1 Yes 6 Sysmiss 4014 e5_12/4 13 4014 0 1 0 No 12 1 Yes 1 Sysmiss 4014 Specify other: 0 4027 Sysmiss 4027 What percentage of {other refugee households} did you buy from? 1 4026 40 40 40 40 1 Sysmiss 4026 What percentage of {native households} did you buy from? 6 4021 10 80 50 29.665 What percentage of {traders} did you buy from? 6 4021 70 100 95 12.247 What percentage of ${e5_12other} did you buy from? 1 4026 0 0 0 0 1 Sysmiss 4026 e6_12. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 13 4014 1 5 1 here 2 2 neighbour,village 5 3 closest town 3 4 trade,centers 2 5 itinerant trader 1 6 other 0 Sysmiss 4014 e6_12/1 13 4014 0 1 0 No 11 1 Yes 2 Sysmiss 4014 e6_12/2 13 4014 0 1 0 No 8 1 Yes 5 Sysmiss 4014 e6_12/3 13 4014 0 1 0 No 11 1 Yes 2 Sysmiss 4014 e6_12/4 13 4014 0 1 0 No 8 1 Yes 5 Sysmiss 4014 e6_12/5 13 4014 0 0 0 0 0 13 Sysmiss 4014 e6_12/6 13 4014 0 1 0 No 12 1 Yes 1 Sysmiss 4014 Specify other: 0 4027 Sysmiss 4027 12 4015 30000 2000000 286666.667 561545.486 e5_13. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 12 4015 1 3 1 other refugee hhs 1 2 native hhs 3 3 trader 8 4 other(specify) 0 Sysmiss 4015 e5_13/1 12 4015 0 1 0 No 11 1 Yes 1 Sysmiss 4015 e5_13/2 12 4015 0 1 0 No 9 1 Yes 3 Sysmiss 4015 e5_13/3 12 4015 0 1 0 No 4 1 Yes 8 Sysmiss 4015 e5_13/4 12 4015 0 0 0 0 0 12 Sysmiss 4015 What percentage of {other refugee households} did you buy from? 1 4026 95 95 95 95 1 Sysmiss 4026 What percentage of {native households} did you buy from? 3 4024 20 100 56.667 40.415 What percentage of {traders} did you buy from? 8 4019 58 100 94.75 14.849 e6_13. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 12 4015 1 4 1 here 2 2 neighbour,village 1 3 closest town 1 4 trade,centers 8 5 itinerant trader 0 6 other 0 Sysmiss 4015 e6_13/1 12 4015 0 1 0 No 10 1 Yes 2 Sysmiss 4015 e6_13/2 12 4015 0 1 0 No 11 1 Yes 1 Sysmiss 4015 e6_13/3 12 4015 0 1 0 No 11 1 Yes 1 Sysmiss 4015 e6_13/4 12 4015 0 1 0 No 3 1 Yes 9 Sysmiss 4015 e6_13/5 12 4015 0 0 0 0 0 12 Sysmiss 4015 e6_13/6 12 4015 0 0 0 0 0 12 Sysmiss 4015 92 3935 0 3000000 210418.478 405207.641 e5_14. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 91 3936 1 6 1 other refugee hhs 8 2 native hhs 1 3 trader 1 4 other(specify) 26 5 3 39 6 4 16 Sysmiss 3936 e5_14/1 91 3936 0 1 0 No 81 1 Yes 10 Sysmiss 3936 e5_14/2 91 3936 0 1 0 No 64 1 Yes 27 Sysmiss 3936 e5_14/3 91 3936 0 1 0 No 51 1 Yes 40 Sysmiss 3936 e5_14/4 91 3936 0 1 0 No 75 1 Yes 16 Sysmiss 3936 Specify other: 6 0 0 1 None 2 O 1 not applicable 2 What percentage of {other refugee households} did you buy from? 10 4017 10 100 78.5 31.802 What percentage of {native households} did you buy from? 27 4000 10 100 61.667 33.826 What percentage of {traders} did you buy from? 40 3987 2 100 90.175 22.457 What percentage of ${e5_14other} did you buy from? 16 4011 0 100 37.5 50 e6_14. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 91 3936 1 11 1 here 16 2 neighbour,village 1 3 closest town 1 4 trade,centers 17 5 itinerant trader 1 6 other 5 7 3 4 2 8 4 28 9 4 1 1 10 4 3 1 11 6 18 Sysmiss 3936 e6_14/1 91 3936 0 1 0 No 71 1 Yes 20 Sysmiss 3936 e6_14/2 91 3936 0 1 0 No 72 1 Yes 19 Sysmiss 3936 e6_14/3 91 3936 0 1 0 No 83 1 Yes 8 Sysmiss 3936 e6_14/4 91 3936 0 1 0 No 57 1 Yes 34 Sysmiss 3936 e6_14/5 91 3936 0 0 0 0 0 91 Sysmiss 3936 e6_14/6 91 3936 0 1 0 No 73 1 Yes 18 Sysmiss 3936 Specify other: 7 0 0 1 Kitgum 1 None 3 not applicable 2 43 3984 18000 1000000 323674.419 258596.185 e5_15. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 43 3984 1 8 1 other refugee hhs 1 2 native hhs 4 3 trader 23 4 other(specify) 1 5 2 3 1 6 3 8 7 3 2 1 8 4 4 Sysmiss 3984 e5_15/1 43 3984 0 1 0 No 37 1 Yes 6 Sysmiss 3984 e5_15/2 43 3984 0 1 0 No 13 1 Yes 30 Sysmiss 3984 e5_15/3 43 3984 0 1 0 No 33 1 Yes 10 Sysmiss 3984 e5_15/4 43 3984 0 1 0 No 39 1 Yes 4 Sysmiss 3984 Specify other: 3 0 None 3 What percentage of {other refugee households} did you buy from? 6 4021 20 100 60 29.665 What percentage of {native households} did you buy from? 30 3997 10 100 67.933 25.295 What percentage of {traders} did you buy from? 10 4017 40 100 82 24.404 What percentage of ${e5_15other} did you buy from? 4 4023 0 100 25 50 e6_15. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 43 3984 1 11 1 here 24 2 neighbour,village 1 3 closest town 1 4 trade,centers 1 5 itinerant trader 1 6 other 1 7 3 4 1 8 3 4 2 1 9 4 7 10 4 3 2 1 1 11 6 4 Sysmiss 3984 e6_15/1 43 3984 0 1 0 No 15 1 Yes 28 Sysmiss 3984 e6_15/2 43 3984 0 1 0 No 38 1 Yes 5 Sysmiss 3984 e6_15/3 43 3984 0 1 0 No 38 1 Yes 5 Sysmiss 3984 e6_15/4 43 3984 0 1 0 No 32 1 Yes 11 Sysmiss 3984 e6_15/5 43 3984 0 0 0 0 0 43 Sysmiss 3984 e6_15/6 43 3984 0 1 0 No 39 1 Yes 4 Sysmiss 3984 Specify other: 3 0 None 3 111 3916 0 3600000 219705.45 472711.763 35 3992 100 800000 155462.857 191061.626 61 3966 0 4800000 503114.754 865559.628 447 3580 0 8000000 601686.357 822661.962 E3a. Did your household have access to any credit in the last 12 months? 4027 0 1 3 1 No, could not get access 2042 2 No, but I could get access if I needed 846 3 Yes 1139 E3b. What was the total amount of loan(s) received in the last 12 months? [Put 0 if no loan was received 1139 2888 0 20000000 425187.099 975250.438 Unique HH id follow up survey 10025 6 13 4090 2140.588 1173.84 baseline tracking number uhhidp 10031 0 1000003 4003617 1926651.727 998459.52 A2. District 10031 0 Adjumani 659 Arua 2029 Isingiro 1030 Kamwenge 707 Kikuube 579 Kiryandongo 606 Koboko 365 Kyegegwa 719 Lamwo 1099 Moyo 1532 Yumbe 706 A3. County 10031 0 0bongi 3 Adjumani 154 Adjumani East 11 Adjumani West 6 Adjumani east 77 Adjumani west 125 Adupi 1 Arangi 4 Aringa 287 Aringa North 5 Aringa South 92 Aringa north 2 Aringa south 24 Aringo 1 Arua 10 Bahaguzi 2 Bugahuzi 3 Buhagazi 3 Buhagizi 1 Buhaguzi 568 Buhanguzi 6 Bukaga 2 Bukanga 491 Bukanga. 3 Bweyale 2 East adjumani 10 East adjummani 6 Ibakwe 6 Irigbo 20 Isingiro 14 Isingiro North 90 Isingiro North. 7 Isingiro South 22 Isingiro north 268 Isingiro north. 1 Isingiro south 110 Isingiro. North 1 Isingoro north 3 Isngiro north 2 Itula 21 Kamwenge 17 Kibaale 292 3 Kibaale East 188 Kibaale east 28 Kibale 53 Kibale East 111 Kibaleb East 2 Kibanda 349 1 Kibanda North 172 Kibanda South 30 Kibanda north 23 Kibanda south 4 Kibanda. 1 Kikagate 11 Kiryandogo 1 Kiryandongo 10 Kmwenge 3 Koboko 143 Koboko North 5 Koboko north 1 Kyaaka South 3 Kyaaka south 2 Kyaka 32 3 Kyaka 1 1 2 Kyaka 11 4 Kyaka 2 12 Kyaka North 7 Kyaka South 501 Kyaka sauth 4 Kyaka south 136 Kyakasouth 2 Kyangwali 1 Kyegegwa 3 L9 5 LAMWO 2 Lamwo 1087 Lamwo. 2 Lanya 1 Lawmo 5 Loa-madi 6 Lobule 203 Lower madi 23 Lubule 2 Madi okollo 47 Madi okolo 3 Madi-okollo 1 Madiokolo 10 Masha 1 Moyo 31 Mpara 4 N 8 Nkoma 7 Obongi 1441 Obongi county 1 Ocea 1 Odubi 1 Odupi 18 Odupiri 1 Omugo 2 Omugo 4 1 On into 2 Oriama 3 Pakele 1 Palorinya 3 Ranch 37 3 Ribgo 3 Ribo 2 Rwomoji 2 Southern ward 5 Southerward 2 Terego 301 Terego east 39 Terego west 11 Terrego 4 Tetego 6 Tirigo 1 Turego East 6 Ubongi 8 Uriama 3 West Adjumani 3 West adjumani 45 Yumbe 258 adjmani 3 adjumani 49 adjumani West 27 adjumani West. 3 adjumani east 78 adjumani west 26 adjummani 2 arua 1 ayive 3 ayivu 14 bukanga 2 evelyn omoding anyumel 4 irigbo 8 irigbo subcounty 1 isingiro south 2 itirikwa 3 kibaale 3 lamwo 3 lanya 3 libo 4 loa-madi 7 lower madi 93 lowermadi 3 madi okollo 74 madi okolo 21 madi-okollo 11 madiokol 4 madiokollo 8 madiokolo 7 madiopolo 3 obongi 9 ocea 12 odubi 13 odupi 27 omugo 4 oriama 6 ouiama 2 pakele 8 rhino camp 6 ribgo 3 ribo 1 rigbo 9 rigo 3 t 4 terego 820 terego 1 1 terego east 255 terego west 47 teregu 2 terogo 2 uriama 14 west adjumani 19 west admjumani 3 yei 4 yumbe 38 A6. Is the household living in host community? 10031 0 0 1 0 No 4626 1 Yes 5405 A3b. Settlement 4626 0 Adjumani_settlement 317 Bidibidi_settlement 362 Imvepi_settlement 203 Kiryandongo_settlement 358 Kyaka II_settlement 313 Kyangwali_settlement 190 Lobule_settlement 261 Nakivale_settlement 352 Omugo_Rhino_ext_settlement 210 Palabeck_settlement 490 Palorinya_settlement 727 Rhinocamp_settlement 480 Rwamwanja_settlement 363 Household type refugee or host community 10031 0 0 1 0 No 5381 1 Yes 4650 10031 0 1 2 1 Male 3910 2 Female 6121 A16. What is the MAIN livelihood of the household: 10031 0 1 7 1 Pastoralist 39 2 Agro-pastoralist 1088 3 Riverine 2 4 Fishing 58 5 Urban/Petty trade/Formal employment 394 6 Other 796 7 Crop Farmer 7654 Specify other livelihood: 733 0 0 21 00 5 Aid 43 Alcohol Brewing 1 Alcohol brewing 2 Animal production 1 Assistance 52 Bar business 1 Barber 1 Blacksmith 2 Boat maker 1 Boda Boda Rider 2 Boda boda rider 7 Boda rider 1 Boda rider of a bicycle 1 Bodaboda 2 Brick laying 1 Brick making 4 Bricks laying 1 Bulding 4 Bulsi 2 Business 9 Businessman 3 Butchery 2 Carpenter 4 Carpentry 3 Casual 3 Casual employment 7 Casual labor 2 Casual labor (digging) 1 Casual labor on farm 1 Casual laborer 5 Casual labour 19 Casual labourer 2 Casual labourers 1 Casual labouring 3 Casual laobourer 1 Casual work 5 Casual work. 2 Casual worker 44 Causal labour 5 Causal labourer 1 Causual labour 2 Cleaner at secondary school in Mukono 1 Community Leader 1 Construction 1 Contraction 1 Depend of cash assistance by UN 1 Depend on cash grant 3 Depend on cash grant of UN 1 Depend on cash grant of WFP 1 Depend on food aid 15 Depend on food ratio of UN 1 Depend on ration food 1 Depend on relief aid 1 Depend on the 31000 of LWF 1 Depends fully on donations. 2 Depends on Cash given by wfp 1 Depends on cash assistance given to them 1 Depends on cash given by WFP 1 Depends on donated food stuffs 2 Depends on the Cash given by WFP 1 Depends on the cash given by WFP 1 Depends on the relief supply 1 Driver 1 Driving transit car 6 Drug shop 5 Dry cleaner(doby) 1 Fish Selling 2 Food Aid 20 Food Ratio 1 Food aid 26 Food assistance 1 Food by UNHCR 3 Fuso driver 2 Gets aid of 29000 per month from LWF 1 Hair dresser 2 Home Brewing 2 House wife 1 Household has no source of livelihood. 1 Household survives from remittances from their children 1 Kiosk 2 Kitchen garden 2 Kitchen gardening 7 Land hiring and charcoal dealer 1 Local brewing 3 Mason 1 Masonry work by the family head Ivan. 1 Mechanic 4 Mechanic works 3 Neating table decorations 1 No activity done 1 No source of income 3 No source of livelihood 3 Non 1 None 83 None since they depend on the aid food 2 Not afarmer any more she is sick 2 Not doing anything 1 Nothing 18 Nothing done for a livelihood 3 Nothing done for a living. 1 Nothing done for income 2 Nothing done for living 1 Nothing. 1 O 2 Oo 3 Operating a drugshop 1 Painter 1 Pastoral work mainly and small farming 4 Petty traders 2 Quarrying 2 Regugee 1 Relief aid 3 Remittance 14 Remittence 5 Remittense 2 Running a grinding mill 2 Salary of UN 31000 2 School pupil 2 Seated at home 1 Sell apart of the food she get from WFP 4 Sell part of the food 1 Sell part of the food WFP give him 2 Sell part of the food she get from WFP 2 Sells charcoal 1 She has nothing todo 1 Shop business 4 Small scale business 1 Social worker 5 Stone Quarrying 3 Stone query 1 Student 2 Tailor 3 Tailoring 7 They are relying on relief aid for survival 1 They survive on food Aid. 1 Transport Business(boda boda) 2 Village health team 2 Wage\salary 2 Weaving 3 Working in Somali's homes. 1 aid 2 baker 1 builder 2 business 1 bussines woman 2 carpentry 3 counselor yinga health centre 1 doing nothing 1 firewood business 2 food aid 1 house wife 2 knitting 3 landlord 5 miller 4 no activity 4 no activity done 1 no economic activity 1 none 32 nothing 16 only rear some few poultry and a goat 2 psn an old man 1 refugee 1 rely on food ratios. 1 student 5 there is nothing they are doing 1 F1a. Did you grow any crops during the LAST 12 MONTHS? 9474 557 0 1 0 No 321 1 Yes 9153 Sysmiss 557 9153 878 0 11 3.112 1.593 0 49 1 1001 2 2797 3 2209 4 1485 5 886 6 402 7 217 8 40 9 36 10 20 11 11 Sysmiss 878 F4b. Who was the key person/people involved in the crop production? 9153 878 1 7 1 Husband 2033 2 Wife 2693 3 Son 86 4 Daughter 46 5 Husband and wife 1503 6 Whole family 2602 7 Other (extended family, employed worker, etc) 190 Sysmiss 878 F13. Did your household grow any vegetables/fruits in the entire 2019? 9474 557 0 1 0 No 3895 1 Yes 5579 Sysmiss 557 F2a. How many different types of vegetables/fruits did the household produce in the entire 2019? 5579 4452 0 7 2.105 1.153 0 42 1 2021 2 1777 3 1050 4 497 5 140 6 34 7 18 Sysmiss 4452 F16b. Who was the key person/people involved in the vegetable production? 5579 4452 1 7 1 Husband 926 2 Wife 2461 3 Son 96 4 Daughter 58 5 Husband and wife 685 6 Whole family 1266 7 Other (extended family, employed worker, etc) 87 Sysmiss 4452 F19. Did your household grow or use/manage any TREES/FRUIT TREES for the whole year (January 2019 - December 2019)? 9474 557 0 1 0 No 7175 1 Yes 2299 Sysmiss 557 F2a. How many different TREES/FRUIT TREES types did the household produce or use/manage for the whole year (January 2019 - December 2019)? 2299 7732 0 6 1.825 0.976 0 23 1 1007 2 807 3 331 4 85 5 35 6 11 Sysmiss 7732 F29.1. In the last 12 months, how many types of livestock has your household owned? 9474 557 0 18 1.195 1.442 0 3812 1 2343 2 1852 3 1005 4 303 5 127 6 7 7 7 18 18 Sysmiss 557 9474 557 0 2 0.149 0.402 0 8224 1 1086 2 164 Sysmiss 557 Fx30. Have you or any member of your household been involved in any fishing activity, for your household, in the last 12 months? 9474 557 0 1 0 No 9188 1 Yes 286 Sysmiss 557 Fx31. How much fish in KG have you sold during the last 12 months? 286 9745 0 2400000 37582.972 283462.818 Fx32. What was the total value earned from the fish sold? 286 9745 0 10000000 976884.615 1770032.141 fx33. To whom did you sell most of the fish? 184 0 1 3 1 2 36 1 2 3 12 2 11 2 1 20 2 3 9 2 3 1 4 3 40 3 2 33 3 2 1 13 3 4 3 fx33/1 184 9847 0 1 0 No 96 1 Yes 88 Sysmiss 9847 fx33/2 184 9847 0 1 0 No 46 1 Yes 138 Sysmiss 9847 fx33/3 184 9847 0 1 0 No 70 1 Yes 114 Sysmiss 9847 fx33/4 184 9847 0 1 0 No 181 1 Yes 3 Sysmiss 9847 Specify other: 3 0 Town dwellers 3 What percentage of {other refugee households} did you sell to? 88 9943 10 80 48.466 23.493 What percentage of {native households} did you sell to? 138 9893 10 100 42.978 19.978 What percentage of {traders} did you sell to? 114 9917 20 100 64.298 28.494 What percentage of ${fx33other} did you sell to? 3 10028 60 60 60 0 60 3 Sysmiss 10028 fx34. Where did you sell most of fish? 184 9847 1 20 1 here 49 2 neighbour,village 5 3 closest town 3 4 trade,centers 7 5 itinerant trader 5 6 other 6 7 2 1 8 2 1 4 3 4 9 2 3 4 1 3 10 2 4 16 11 2 4 3 6 12 3 15 13 3 2 4 1 4 14 4 34 15 4 1 6 16 4 1 2 4 17 4 2 6 18 4 2 1 5 19 4 3 2 2 20 4 3 2 1 3 Sysmiss 9847 fx34/1 184 9847 0 1 0 No 80 1 Yes 104 Sysmiss 9847 fx34/2 184 9847 0 1 0 No 110 1 Yes 74 Sysmiss 9847 fx34/3 184 9847 0 1 0 No 137 1 Yes 47 Sysmiss 9847 fx34/4 184 9847 0 1 0 No 73 1 Yes 111 Sysmiss 9847 fx34/5 184 9847 0 0 0 0 0 184 Sysmiss 9847 fx34/6 184 9847 0 0 0 0 0 184 Sysmiss 9847 Specify other: 0 0 position 2292 7739 1 10 1.531 0.828 1 1399 2 663 3 177 4 33 5 9 6 7 7 1 8 1 9 1 10 1 Sysmiss 7739 2292 0 .avocado 4 .guava 1 .guavas 1 0 19 0ranges 1 1 2 2 2 3 2 Acra 1 American tick tree 19 Avacado 1 Avacodo 11 Avocado 57 Back cloth trees 2 Banana 30 Banana plantation 3 Bananas 34 Black tick 12 Calliadra 1 Calliandra 3 Casia 8 Cocoa 1 Coconut 8 Coffee 40 Crivela 4 Culptus 2 Cyprus 2 Dodo 2 Eucalyptus 17 Eucalyptus9(woodlot) 4 Gauva 3 Grava 1 Guava 34 Guava tree 1 Guava trees 1 Guavas 38 Iemon 1 Jack fruit 20 Jack fruit tree 1 Jack fruits 4 Jackfriuts 1 Jackfruit 108 Jackfruits 13 Jankfruit 1 Junk fruit 14 Lemon 15 Lemon tree 3 Lemons 3 Mangifera indica 7 Mango 187 Mango tree 36 Mango trees 4 Mangoe 2 Mangoes 266 Mongo 1 Moringa 7 Mutuuba Tree 3 Neem 7 Neem tree 10 Nick fruit 1 Nim 2 Nim tree 4 Ocacado 4 Okra 2 Orange 51 Orange tree 2 Oranges 87 Oranges tree 2 Ovacado 122 Ovacado tree 2 Ovacados 12 Ovaccado 23 Pampya 2 Papapy 5 Papaw 5 Papaw tree 1 Papaws 2 Papaya 68 Passion 3 Passion friuts 1 Passion fruit 8 Passion fruits 15 Paw Paw 2 Paw paw 22 Paw paws 11 PawPaw's 5 Pawapaw 1 Pawpapws 1 Pawpaw 301 Pawpaw tree 4 Pawpaw trees 4 Pawpaws 116 Pine trees 3 Plassion Fruits 3 Pumpkin 3 Softwood 2 Soursop (brother heart) 2 Soursoup 1 Sugar cane 3 Sugarcane 1 Teak 5 Teak tree 7 The other is unknown to the farmer 4 Thick trees 7 Thick tress 4 Tic 9 Tick 7 Tick tree 12 Ticka 2 Ticktree 1 Tig Trees 6 Tig trees 4 Tik 14 Tik tree 19 Tika 6 Tika (Tick) 1 Tika (tick) 3 Tika(tick) 3 Tomatoes 4 Vacado 3 White teak 2 White teak tree 1 White tick 5 acra 59 banana 1 cassava 1 cow pease 3 eculpitus tree 5 egg plant 1 eucalyptus 1 euclaptas tree 4 guava 2 hinap 4 jack fruit 11 jackfruit 1 losoloso 2 mango 3 mango tree 5 mango tree s 3 mangoes 17 moriga 2 moringa 1 muvule tree 1 orange 4 passion friut 1 paw paw 10 pawpaw 2 pumpkin 7 red paper 1 sambia 1 tick tree 3 tik 2 tik tree 9 tika 1 Source of the ${f20}: 2292 7739 1 2 1.036 0.186 1 2210 2 82 Sysmiss 7739 2292 7739 0 60 0.199 2.119 Which part/parts of the ${f20} is used? 2292 7739 1 20 1 Food 1710 2 Medicine 4 3 Cultural 15 4 Sale 16 5 Other(specify) 2 6 1 5 60 7 2 3 8 2 3 5 1 9 2 4 4 10 2 4 5 3 11 2 5 2 12 3 186 13 3 1 23 14 3 1 4 1 15 3 4 2 16 4 201 17 4 2 4 18 5 52 19 5 2 1 20 5 3 2 Sysmiss 7739 f27/1 2292 7739 0 1 0 No 461 1 Yes 1831 Sysmiss 7739 f27/2 2292 7739 0 1 0 No 2270 1 Yes 22 Sysmiss 7739 f27/3 2292 7739 0 1 0 No 2062 1 Yes 230 Sysmiss 7739 f27/4 2292 7739 0 1 0 No 2059 1 Yes 233 Sysmiss 7739 f27/5 2292 7739 0 1 0 No 2169 1 Yes 123 Sysmiss 7739 Specify other part of the tree used 119 0 0 5 Branches used for Firewood 3 Branches used for fire wood 3 Leave 1 Leaves 44 Leaves are eaten as source, and roots for medicine 2 Medicine 12 Medicines 3 None 1 Not yet ready 9 Seedling 11 Seedlings 8 Shade 8 Stems 3 Transplanting 5 Used for food 1 For Food 2292 7739 0 1000 66.992 53.807 For Medicine 2292 7739 0 100 4.997 14.674 For Culture 2292 7739 0 50 0.543 3.056 For Sale 2292 7739 0 200 16.486 31.101 For other use 2282 7749 0 100 2.53 11.3 Specify details of other use below: 1974 , 0 1 ,0 2 . 1 . 0 29 . O 1 .0 28 0 1226 00 12 1 1 60 2 999 2 9999 3 Bartering 5 Bartering for other food 2 Building 9 Building material 2 But 9 Casual labour 4 Climate modification 1 Construction 4 Control of soil erosion 1 Demarcation of boundaries 1 Diversification of the farm 2 Eating 3 Feeding animals 1 Feeding bees 1 Feeding cattle 3 Feeding goats 1 Feeding honey bees 1 Feeding livestock 4 Feeding pigs 2 Feeding poultry 1 Fire wood 20 Firewood 22 Firewood fetching 1 Firewood, charcoal 5 Food for work 2 For animals 1 For apiculture production 1 For beauty at home 4 For feeding cattle and goats 2 For feeding livestock 1 For fire wood 8 For firewood 6 For food only 1 For home consumption 1 For live stock 1 For making boats 1 For making local soda ash 2 For rearing bees 1 For shade 3 For timber 8 Fpoles, firewood 1 Gifts for children 1 Gifts to other people 1 Helps to provide local building materials like poles 1 Home consumption 3 Home mapping 1 Informal assistance offering 1 It adds humus to the soil with it's foliage 3 It is used for making an ectoparasiticide for animals 1 It treats typhoid and alsus, it's also put in tea for aroma 2 It's leaves are used for mulching vegetables 2 It's mostly used for shade Because it's where we sat during the interview but it's still young 1 Juice 2 K 6 Leaves are used as storage crop pesticide 1 Leaves are used for feeding fish 1 Leaves for feeding goats 1 Leaves provide humus for soil fertility 3 1 1 Making art designs for cultural dramas 1 Making smearing jelly 2 2 Manufacturing of juices and sweets 1 Manufacturing of soap 1 Manure 1 Modification of climate 5 Mostly used for shade Because it has not put fruits yet and it's where I conducted the interview from 2 Mostly used for shade Because it's where we sat during the interview 1 N One 1 Na 11 Nnone 1 No 14 No details 1 No fruits yet 3 No other use 1 Non 1 None 229 Not applicable 5 Not fruits yet 1 Not yet due for use 7 O 68 Offertory 1 Old branches used for cooking food 1 One 2 Organic pesticide for storage crops 1 P 1 Pawpaw can be used blending juice 2 Payment of casual labour 1 Peelings are used as deodorants against bad smell 1 Pesticide making 1 Pollination by bees hence honey production 1 Poultry feeding 3 Protection 1 Provides leaves for feeding rabbits 2 1 Provides seeds for agroforestry breeding 2 Providing building materials 1 Reduce strong winds 1 Resting grounds for chicken 1 Shade 33 Shade Because it's where we sat during the interview 1 Shade Because their children mostly sit under this Mango trees playing board games 1 Shade, we sat under one of the Mango tree during the interview and it's where they sit mostly 1 Shades for animals against harsh weather 2 Shades for animals and people 1 Shades for livestock 3 Still young tree. Not harvested for any purpose 1 Thanks 3 The tree is also used for shade Because it's where we sat during the interview 3 The tree is still newly planted. So no part of the tree is used currently. 1 There are in the garden still young 3 They basically use paw paws as food or eat them as fruits 1 They eat pasion fruits as a fruit basically 1 Tick tree helps to diversify the economy 1 Timber 3 To prevent environmental degradation through absorption carbon dioxide for photosynthesis 2 Used as an additive in tea 1 Used as an additve in food 1 Used for firewood and timber 1 Used for shade 1 Used for timber 3 We dont we were just given the seed to plant 1 Wind breaker, insecticide 4 Wind breakers 1 Wind breaks 1 Wood for making local furniture 1 fire wood 8 for shade and firewood 5 not applicable 3 offertory in Church 1 other s 2 timber 1 tree planted for timber,firewood and as windbreaker 3 wind breaks 1 2290 7741 0 312000 563.447 8041.555 1269 8762 0 1200000 2380.52 47921.816 F25. What was the unit price of ${f20} produced for the whole year (January 2019 - December 2019). 307 9724 0 5000000 149562.948 610148.987 position 9111 920 1 11 2.076 1.255 1 3746 2 2823 3 1406 4 664 5 292 6 113 7 44 8 12 9 7 10 3 11 1 Sysmiss 920 9108 0 !maize 1 0 11 0.5 2 1 4 1.5 1 2 1 Acra 2 Amaize 1 Banana 36 Banana plantation 6 Bananas 18 Bean 22 Beans 1323 Beans. 2 Been 2 Beens 1 Boo 10 Cabbage 5 Cabbages 2 Casaava 1 Casava 4 Cassava 796 Cassava and beans 1 Cassave 1 Cassavq 1 Cassva 1 Cocoa 6 Coffee 13 Cotton 33 1 Cow pea 1 Cow peace 1 Cow peas 60 Cowpeace 2 Cowpeas 27 Cowpease 14 Cowpeass 1 Dodo 6 Egg plant 4 Egg plants 3 Eggplant 21 Eggplants 4 Field pease 1 Fish leaf 1 G nuts 12 G-nuts 2 G. Nuts 2 G.nut 1 G.nuts 3 G/nuts 1 Gauze 1 Genutes 1 Ginuts 2 Gnats 1 Gnut 1 Gnuts 40 Gradunts 1 Grandnut 2 Grandnuts 10 Grandunts 3 Granduts 4 Granutes 1 Green gram 2 Green grams 3 Green peas 4 Green pepper 1 Greens 2 Grond nuts 1 Groud nuts 1 Ground Nuts 1 Ground nut 3 Ground nutd 1 Ground nuts 210 Ground nutts 1 Groundnut 4 Groundnuts 106 Groundnutts 2 Groundunts 5 Grudnuts 1 Grundnuts 1 Gudora 1 Irish 2 Irish Potatoes 6 Irish potataoes 1 Irish potato 1 Irish potatoes 61 Joroko 1 Lapena 5 Lapenna 1 Lumonde 1 Maie 3 Maier 2 Mail 1 Maiz 1 Maiza 1 Maizd 1 Maize 2022 Maize. 1 Maizes 1 Malakuang 1 Malakuang greens 2 Matoke 2 Matooke 15 Maze 1 Means 1 Miaze 1 Millet 78 1 Milliet 2 Nakati 1 None 1 Ntula 1 O 3 O. 2 1 Ocra 6 Okono/Pumpkin 1 Okra 80 Onion 2 Onions 7 Osobi 1 Pampkin 1 Pampkins 1 Patatoe 1 Peace 2 Peas 48 Pease 1 Piegon peas 1 Pigean peas 1 Pigeon pea 3 Pigeon peas 18 Potato 6 Potatoes 328 Potatotoes 1 Potetoes 19 Pototoes 2 Pumpkin 23 Pumpkins 6 Real beans 1 Rice 93 S.potatoes 3 Saya beans 1 Seaseme/simsim 1 Shea 1 Sim sim 28 SimSim 1 Simsim 777 Simu simu 1 Sogum 2 Sorgham 2 Sorghum 555 Sorghun 1 Sorguhum 3 Sorgum 11 Soya 6 Soya Bean 1 Soya Beans 1 Soya bean 4 Soya beans 20 Soyabean 2 Sugar cane 2 Sugarcane 1 Sughurm 1 Sukuma 3 Sukuma Wiki 1 Sukuma wiki 3 Sukumawiki 1 Sun flower 1 Sun flowers 1 Sunflower 6 Sweat potatoes 1 Sweep Potatoes 1 Sweer potatoes 2 Sweet 1 4 Sweet Potatoes 65 Sweet patatoes 1 Sweet potaoes 1 Sweet potato 3 Sweet potatoe 3 Sweet potatoes 416 Sweet potatos 1 Sweetpotato 3 Sweetpotatoe 1 Sweetpotatoes 17 Tobacco 16 Tobbacco 2 Tobbaco 1 Tomatoes 13 Ttula 4 Ttula and otigo 1 Yams 3 acra 4 akra 2 bananas 1 beans 81 beens 2 cabage 1 cabbage 1 cabbages 1 casava 13 cassava 144 casssava 1 cassva 1 cotton 19 cow peas 15 cow pease 4 cow pieas 1 cowpeas 11 dive 1 dodo 2 egg plant 4 egg plants 4 g-nuts 1 ginuts 1 gnut 2 gnuts 12 grandnuts 9 green pepper 1 ground nut 1 ground nuts 44 groundnut 1 groundnuts 43 maiza 2 maize 167 maizes 16 millet 6 oakra 2 okra 3 oninions 1 onion 1 onions 6 pampkin 2 peas 17 pease 1 pegion peas 1 poatoes 2 potatoes 51 potetoe 1 potetoes 1 pumkin 1 pumpkin 11 pumpkins 7 pupkin 1 pupkins 1 red paper 2 rice 7 sim sim 2 simsim 281 simu simu 23 sismsim 1 soghum 10 sohgum 3 sorghum 164 sorgum 6 soya bean 4 soya beans 4 sugar cane 1 sweepotatoe 1 sweet potato 2 sweet potatoes 75 sweetpotaotes 1 sweetpotatoes 15 sweetpotatos 1 tomatoes 6 yams 1 F3. Average land area under production of ${f2a} during LAST 12 MONTHS IN ACRES: 9109 922 0 50000 6.782 524.097 F4. Total ${f2a} produced during LAST 12 MONTHS in kg’s: 9076 955 0 3780000 631.271 39785.696 7844 2187 0 1680000 529.536 26309.15 F6. What was the unit price of this ${f2a} during the LAST 12 MONTHS in 2019 2148 7883 0 650000 4328.345 28233.108 F6b. What was the total value earned from ${f2a} sold?[TOTAL VALUE IN UGX]? 2148 7883 0 160000000 446222.887 4473828.396 F7. To whom did you sell most of ${f2a}? 2149 0 1 169 1 2 60 1 2 3 11 1 3 18 1 3 2 1 2 169 2 1 28 2 3 70 3 1530 3 1 23 3 2 44 3 2 1 5 4 21 f7/1 2149 7882 0 1 0 No 1834 1 Yes 315 Sysmiss 7882 f7/2 2149 7882 0 1 0 No 1761 1 Yes 388 Sysmiss 7882 f7/3 2149 7882 0 1 0 No 447 1 Yes 1702 Sysmiss 7882 f7/4 2149 7882 0 1 0 No 2128 1 Yes 21 Sysmiss 7882 Specify other: 18 0 0 1 Both the refugees and the natives 1 Bweyale Town Centre 1 Did not sell 1 Farm gate 4 Gurdo gulu agricultural company 1 Industry 1 Market 1 None 1 Not sold 1 Not yet sold 1 School 1 To the government 1 any buyer 1 not applicable 1 What percentage of {other refugee households} did you sell to? 315 9716 1 100 72.295 28.962 What percentage of {native households} did you sell to? 388 9643 1 100 63.817 31.52 What percentage of {traders} did you sell to? 1702 8329 0 100 85.539 25.871 What percentage of ${f7other} did you sell to? 21 10010 0 100 55 45.908 F8. Where did you sell most of ${f2a}? 2149 7882 1 41 1 here 485 2 neighbour,village 20 3 closest town 3 4 trade,centers 7 5 itinerant trader 3 6 other 27 7 1 4 3 1 8 1 4 3 2 5 1 9 1 4 5 1 10 1 5 1 11 2 127 12 2 1 20 13 2 1 3 1 14 2 1 4 1 15 2 3 6 16 2 3 4 13 17 2 4 16 18 2 4 1 1 19 3 119 20 3 1 2 21 3 1 5 4 1 22 3 2 2 23 3 2 4 1 24 3 4 29 25 3 4 2 1 26 3 4 2 5 1 27 3 4 5 1 28 3 5 1 29 4 1020 30 4 1 32 31 4 1 2 1 32 4 2 21 33 4 2 1 1 34 4 3 27 35 4 3 1 1 36 4 3 2 6 37 4 5 5 38 5 116 39 5 4 2 40 5 4 1 2 41 6 23 Sysmiss 7882 f8/1 2149 7882 0 1 0 No 1537 1 Yes 612 Sysmiss 7882 f8/2 2149 7882 0 1 0 No 1899 1 Yes 250 Sysmiss 7882 f8/3 2149 7882 0 1 0 No 1929 1 Yes 220 Sysmiss 7882 f8/4 2149 7882 0 1 0 No 926 1 Yes 1223 Sysmiss 7882 f8/5 2149 7882 0 1 0 No 2017 1 Yes 132 Sysmiss 7882 f8/6 2149 7882 0 1 0 No 2126 1 Yes 23 Sysmiss 7882 Specify other: 20 0 0 1 Alliance uganda 1 Farm gate 7 Industry 1 Neighborhood 1 None 3 Not sold 1 Not yet sold 1 Refugees 1 They sell at home 1 Took to school 1 n.a 1 F9. For how many months did your long rain season own crop production of ${f2a} last in feeding the Household? 7836 2195 0 30000 7.069 338.888 position 5559 4472 1 7 1.663 0.906 1 3087 2 1595 3 619 4 202 5 39 6 11 7 6 Sysmiss 4472 5559 0 0 20 0cra 1 0kra 2 100 3 180 4 2 1 3 1 Acra 1 Amaranth 2 Amaranthas 56 Amaranthas/dodo 2 Amaranths 2 Amaranthus 10 Amarantus 15 Amarathas 1 Banana 256 Bananas 263 Bananas. 3 Beans 12 Bitter berries 1 Bitterbarries 2 Bitterberries 2 Boo 174 Boyo 1 Cabagges 4 Cabbage 70 Cabbages 32 Cabbege 1 Cabbeges 4 Carrot 5 Carrots 4 Casava 1 Cassava 6 Cow pea 1 Cow peas 28 Cow peas leave 2 Cow peas leaves 6 Cowpea 16 Cowpeace 3 Cowpeace or osobi 2 Cowpeas 55 Cowpease 1 Cucumber 7 Doddo 11 Dodo 189 Dodo (Amaranthas spp) 2 Dodo and peace 1 Dodo(Amarath) 5 Dodo(amarath) 7 Doodo 18 Ebo 14 Eboo 157 Eeggplant 2 1 Egg pants 1 Egg plant 75 Egg plants 91 Eggeplant 1 Egglant 1 Eggplant 454 Eggplant . 2 Eggplants 198 G nuts 1 Goba 5 Gobe 54 Green 1 Green Paper 1 Green gram 6 Green paper 8 Green papper 1 Green peas leaves 1 Green pepper 5 Greens 8 Greens (eboa) 3 Greens (eboe) 7 Greens eboo 5 Greens(eboe) 4 Ground nuts 1 Guavas 3 Hibiscus 4 Jack fruit 1 Jack fruits 1 Jackfruit 1 Jute mellon 1 Jute melon 2 Lapena 3 Maize 5 Malakwag 1 Malakwan 1 Malakwang 6 Mango 9 Mangoes 10 Matooke 23 Millet 1 Nakati 13 Nakatti 4 No 2 Ntula 10 O 3 Oakra 1 Obuga 1 Occra 20 Ocra 159 Ohra 2 Okr a 2 Okra 559 Onion 18 Onions 97 Onoins 1 Ookra 1 Orange 3 Oranges 4 Orhra 13 Orkra 15 Osobi 8 1 Osobi or boo 1 Osobi or cowpeace 5 Osubi 1 Otigo 20 Otigo Dii 1 Otigo dii 13 Otigodi 40 Otigu 9 Ovacado 8 Pamkin 6 Pamkin Leaves 1 Pamkin leaves 1 Papaya 2 Passion Fruits 2 Passion fruit 2 Passion fruits 2 Paw paws 1 Pawpaw 16 Pawpaws 7 Peas 14 Pinapple 1 Pineapple 2 Pineapples 5 Plump 1 Potatoes 1 Pumkins 1 Pumpkin 215 Pumpkin leaves 6 Pumpkin s 1 Pumpkinn 3 Pumpkins 33 Red chilli 2 Scumer wake 1 Simsim 1 Skuma wiki 3 Skumawiki 2 Sombe 2 Spinach 11 Sukama wiki 1 Sukuma 27 Sukuma Wiiki 3 Sukuma Wiki 16 Sukuma wich 6 Sukuma wiki 135 Sukuma witch 1 1 SukumaWiki 3 Sukumawici 1 Sukumawik 3 Sukumawiki 19 Sukumi wiki 1 Tamatoe 1 Timatoes 1 Tomaroes 1 Tomato 4 Tomatoe 3 Tomatoes 375 Ttula 1 Tula 3 Water melon 7 Watermelon 4 Yams 4 Zukuma 1 Zukuma wiki 3 accra 1 banana 1 beans 4 boo 24 boo I gobe 2 cabage 1 cabbage 17 cabbages 4 carrots 1 cow peas 19 cow peas leaves 5 cow pease 1 cowpeace 1 cowpeas 31 cowpeas leaves 7 dodo 143 dodo (green amarth) 5 dodoo 1 eboo 5 egg plant 77 egg plants 28 egglant 1 eggplant 87 eggplants 47 green paper 1 greens 3 juilt marllon 3 juit marllon 10 juti marllon 1 layi 1 malakwang 5 malakwang and layi 1 nakati 1 oakra 8 ocra 10 okra 146 okraa 23 okura 22 oninions 1 onion 4 onions 26 orkra 1 osbi 3 osobi 18 osubi 5 pampkin 1 passion fruit 1 peas 11 peas leaves 2 pumkin 1 pumpkin 44 pumpkins 17 red peper 1 simu simu 8 sukuma 5 sukuma wiki 7 sukumawiki 5 tomaoes 1 tomato 6 tomatoes 137 water mellon 5 5559 4472 0 120833 22.057 1620.641 5556 4475 0 588000 316.65 9736.076 5172 4859 0 2880000 655.727 40080.93 F18. What was the unit price of ${f14} produced in the entire 2019. 973 9058 0 300000 4173.79 15633.425 F18b. What was the total value earned from ${f14} sold?[TOTAL VALUE IN UGX]? 936 9095 0 126000000 1094256.457 9052427.117 position 5790 4241 1 18 1.529 0.97 1 3697 2 1463 3 462 4 113 5 31 6 6 7 3 8 2 9 2 10 2 11 2 12 1 13 1 14 1 15 1 16 1 17 1 18 1 Sysmiss 4241 F29.2. Which livestock of the following list? 5790 0 Beehive 3 Camel 1 Cattle_CROSS_BREED 26 Cattle_LOCAL_BREED 564 Chicken_CROSS_BREED 100 Chicken_LOCAL_BREED 2265 Goat_CROSS_BREED 55 Goat_LOCAL_BREED 1939 Horse 1 Mule 13 Pig_CROSS_BREED 33 Pig_LOCAL_BREED 501 Rabbit 60 Sheep_CROSS_BREED 10 Sheep_LOCAL_BREED 219 F29.3. How many [${f29_2}] (at your farm or away) are owned by your household now? 5786 4245 0 80000 19.418 1051.668 F29.5. How many [${f29_2}] did you sell in the last 12 months? 5790 4241 0 70000 16.467 929.217 F29.6. What was the total value earned from [${f29_2}] sold?[TOTAL VALUE IN UGX]? 5785 4246 0 20000000 86410.418 471317.315 f30. To whom did you sell most of [${f29_2}]? 1491 0 1 109 1 2 26 1 2 3 9 1 3 3 2 315 2 1 19 2 1 3 1 2 3 33 2 3 1 1 2 4 1 3 920 3 1 5 3 1 2 2 3 2 24 3 2 1 2 4 21 f30/1 1491 8540 0 1 0 No 1314 1 Yes 177 Sysmiss 8540 f30/2 1491 8540 0 1 0 No 1058 1 Yes 433 Sysmiss 8540 f30/3 1491 8540 0 1 0 No 491 1 Yes 1000 Sysmiss 8540 f30/4 1491 8540 0 1 0 No 1469 1 Yes 22 Sysmiss 8540 Specify other: 22 0 0 5 Market 5 Markets 1 NGO expatriate 1 Numerator 1 Restaurant 1 To his brother 3 World vision 2 school 1 within the local market 2 What percentage of {other refugee households} did you sell to? 177 9854 1 100 72.78 31.06 What percentage of {native households} did you sell to? 433 9598 1 100 80.986 28.343 What percentage of {traders} did you sell to? 1000 9031 0 100 88.396 23.127 What percentage of ${f30other} did you sell to? 22 10009 0 100 56.545 45.471 f31. Where did you sell most of [${f29_2}]? 1491 8540 1 30 1 here 407 2 neighbour,village 9 3 closest town 5 4 trade,centers 1 5 itinerant trader 1 6 other 22 7 1 4 5 1 8 1 5 1 9 2 146 10 2 1 5 11 2 3 4 12 2 3 4 3 13 2 4 8 14 2 4 3 2 15 3 103 16 3 2 1 17 3 2 4 2 18 3 4 8 19 3 5 4 2 20 4 628 21 4 1 5 22 4 2 19 23 4 2 1 3 24 4 3 17 25 4 3 2 2 26 4 5 3 3 27 4 5 3 2 2 28 5 36 29 5 2 4 1 1 30 6 44 Sysmiss 8540 f31/1 1491 8540 0 1 0 No 1030 1 Yes 461 Sysmiss 8540 f31/2 1491 8540 0 1 0 No 1278 1 Yes 213 Sysmiss 8540 f31/3 1491 8540 0 1 0 No 1341 1 Yes 150 Sysmiss 8540 f31/4 1491 8540 0 1 0 No 757 1 Yes 734 Sysmiss 8540 f31/5 1491 8540 0 1 0 No 1444 1 Yes 47 Sysmiss 8540 f31/6 1491 8540 0 1 0 No 1447 1 Yes 44 Sysmiss 8540 Specify other: 35 0 Cattle market 2 Come to the home 3 Livestock market 7 Market 7 Marketplace 2 Neighborhood 8 Neighbour 3 Restaurant 1 Traders 2 position 1271 8760 1 8 1.12 0.446 1 1142 2 120 3 4 4 1 5 1 6 1 7 1 8 1 Sysmiss 8760 F29.17. Which livestock products in the following list: 1271 0 Cow_milk 207 Eggs 917 Goat_milk 7 Meat 106 Other 34 Please specify any of the other livestock product: 29 0 0 3 Eggs 4 Eggs for production 5 Ferterizer 1 Manure 5 Milk 1 Money 1 No 3 None 6 F29.21.a. If you sold any of the product how much of the [${f29_17}] produced was sold in the LAST ONE MONTH? 1271 8760 0 100000 241.736 4854.491 F29.21.b. If you sold any of the product how much of the [${f29_17}] produced was sold in the LAST ONE MONTH? 1271 8760 1 4 1 Number 1051 2 Kilogram 37 3 Litre 182 4 Jerrycan (5 litres) 1 5 Jerrycan (20 litres) 0 6 Glass of milk (250 ml) 0 Sysmiss 8760 F29.22. What was the total value of sales of [${f29_17}] in the LAST ONE MONTH? 89 9942 0 1000000 41676.404 123438.604 f29_23. To whom did you sell most of [${f29_2}]? 89 0 1 1 1 2 4 2 19 2 3 2 3 26 3 2 5 4 32 f29_23/1 89 9942 0 1 0 No 84 1 Yes 5 Sysmiss 9942 f29_23/2 89 9942 0 1 0 No 59 1 Yes 30 Sysmiss 9942 f29_23/3 89 9942 0 1 0 No 56 1 Yes 33 Sysmiss 9942 f29_23/4 89 9942 0 1 0 No 57 1 Yes 32 Sysmiss 9942 Specify other: 19 0 Didn't sell 3 Eating 2 Home consumption 4 No sales 4 None 3 did not sell any eggs 2 n.a 1 What percentage of {other refugee households} did you sell to? 5 10026 85 100 88 6.708 85 4 100 1 Sysmiss 10026 What percentage of {native households} did you sell to? 30 10001 15 100 75.533 32.377 What percentage of {traders} did you sell to? 33 9998 0 100 83.939 28.798 What percentage of ${f29_23other} did you sell to? 32 9999 0 100 12.5 33.601 f29_24. Where did you sell most of [${f29_2}]? 89 9942 1 9 1 here 34 2 neighbour,village 2 3 closest town 4 4 trade,centers 3 5 itinerant trader 2 6 other 4 7 3 5 4 3 8 4 15 9 6 22 Sysmiss 9942 f29_24/1 89 9942 0 1 0 No 53 1 Yes 36 Sysmiss 9942 f29_24/2 89 9942 0 1 0 No 80 1 Yes 9 Sysmiss 9942 f29_24/3 89 9942 0 1 0 No 79 1 Yes 10 Sysmiss 9942 f29_24/4 89 9942 0 1 0 No 67 1 Yes 22 Sysmiss 9942 f29_24/5 89 9942 0 1 0 No 86 1 Yes 3 Sysmiss 9942 f29_24/6 89 9942 0 1 0 No 67 1 Yes 22 Sysmiss 9942 Specify other: 19 0 Didn't sell 3 Dint sell cows 1 Doesn't sell 2 No sales 5 No salez 2 None 3 n.a 1 no sale has been done 2 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 g1a. Did you or any member of the household eat Maize, maize flour, Teff, wheat flour, rice, pasta, bread and other cereals IN THE LAST 24 HOURS? 4027 0 0 1 0 No 948 1 Yes 3079 g1a. Did you or any member of the household eat White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops IN THE LAST 24 HOURS? 4027 0 0 1 0 No 2065 1 Yes 1962 g1a. Did you or any member of the household eat Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses IN THE LAST 24 HOURS? 4027 0 0 1 0 No 692 1 Yes 3335 g1b. Did you or any member of the household eat Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3527 1 Yes 500 g1a. Did you or any member of the household eat Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki IN THE LAST 24 HOURS? 4027 0 0 1 0 No 2392 1 Yes 1635 Did HH consume from [Food group #6] in the last 24 hours? 4027 0 0 1 0 No 1408 1 Yes 2619 4027 0 0 1 0 No 3652 1 Yes 375 G1a. Did you or any member of the household eat Other fruits: banana, apple, lemon, sheanuts, balanites etc IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3639 1 Yes 388 4027 0 0 1 0 No 3629 1 Yes 398 g1a. Did you or any member of the household eat Liver, kidney, heart and other organ meats IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3980 1 Yes 47 g1a. Did you or any member of the household eat insects (termites,grasshoppers,crickets, others) IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3893 1 Yes 134 g1a. Did you or any member of the household eat Fish: shellfish, tinned tuna, seafood, tilapia, omena IN THE LAST 24 HOURS? 4027 0 0 1 0 No 2991 1 Yes 1036 g1a. Did you or any member of the household eat Eggs IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3822 1 Yes 205 g1b. Did you or any member of the household eat/consume Milk, mala, yoghurt, cheese IN THE LAST 24 HOURS? 4027 0 0 1 0 No 3658 1 Yes 369 g1a. Did you or any member of the household eat/consume Sugar and sugar products IN THE LAST 24 HOURS? 4027 0 0 1 0 No 2475 1 Yes 1552 g1a. Did you or any member of the household consume Oils (from sheanuts, balanites) fat and butter IN THE LAST 24 HOURS? 4027 0 0 1 0 No 1625 1 Yes 2402 g1a. Did you or any member of the household consume Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk IN THE LAST 24 HOURS? 4027 0 0 1 0 No 329 1 Yes 3698 g1b. Days eaten Cereals: Maize, maize flour,Teff, wheat flour, rice, pasta, bread and other cereals IN THE PAST 7 DAYS: 4027 0 0 7 4.829 2.502 0 445 1 123 2 271 3 420 4 302 5 396 6 158 7 1912 g1b. Days eaten White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops IN THE PAST 7 DAYS: 4027 0 0 7 2.775 2.393 0 1049 1 336 2 647 3 689 4 338 5 283 6 86 7 599 g1b. Days eaten Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses IN THE PAST 7 DAYS: 4027 0 0 7 4.878 2.176 0 190 1 104 2 379 3 514 4 470 5 488 6 254 7 1628 g1b. Days eaten Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper IN THE PAST 7 DAYS: 4027 0 0 7 0.552 1.372 0 3215 1 226 2 253 3 145 4 58 5 41 6 4 7 85 g1b. Days eaten Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki IN THE PAST 7 DAYS: 4027 0 0 7 1.991 2.148 0 1621 1 308 2 636 3 612 4 267 5 233 6 83 7 267 g1b. Days eaten Other vegetables: tomatoes, onions, cucumber, green beans, peas, lettuce IN THE PAST 7 DAYS: 4027 0 0 7 3.647 2.566 0 834 1 158 2 439 3 518 4 418 5 500 6 195 7 965 4027 0 0 7 0.391 1.204 0 3454 1 167 2 185 3 91 4 30 5 23 6 8 7 69 G1b. Days eaten Other fruits: banana, apple, lemon, sheanuts, balanites etc IN THE PAST 7 DAYS: 4027 0 0 7 0.477 1.435 0 3454 1 139 2 144 3 80 4 37 5 44 6 19 7 110 4027 0 0 5 0.321 0.661 0 3097 1 635 2 238 3 50 4 4 5 3 g1b. Days eaten Liver, kidney, heart and other organ meats IN THE PAST 7 DAYS: 4027 0 0 7 0.0228 0.209 0 3960 1 50 2 13 3 3 7 1 g1b. Days eaten insects (termites,grasshoppers,crickets, others) IN THE PAST 7 DAYS: 4027 0 0 7 0.141 0.549 0 3705 1 158 2 103 3 45 4 13 5 1 6 1 7 1 g1b. Days eaten Fish: shellfish, tinned tuna, seafood, tilapia, omena IN THE PAST 7 DAYS: 4027 0 0 7 1.2 1.621 0 2097 1 548 2 612 3 393 4 163 5 114 6 39 7 61 g1b. Days eaten Eggs IN THE PAST 7 DAYS: 4027 0 0 7 0.181 0.677 0 3647 1 176 2 123 3 54 4 10 5 5 6 4 7 8 g1b. Days eaten/consumed Milk, mala, yoghurt, cheese IN THE PAST 7 DAYS: 4027 0 0 7 0.556 1.653 0 3483 1 79 2 118 3 83 4 29 5 36 6 13 7 186 g1b. Days eaten/consumed Sugar and sugar products IN THE PAST 7 DAYS: 4027 0 0 7 2.254 2.615 0 1877 1 191 2 390 3 402 4 255 5 214 6 78 7 620 g1b. Days consumed Oils (from sheanuts, balanites) fat and butter IN THE PAST 7 DAYS: 4027 0 0 7 3.667 2.762 0 1077 1 105 2 269 3 416 4 400 5 439 6 166 7 1155 g1b. Days consumed Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk IN THE PAST 7 DAYS: 4027 0 0 7 6.366 1.833 0 255 1 18 2 26 3 29 4 43 5 106 6 72 7 3478 g1c. Primary source of Cereals: Maize, maize flour, wheat flour, rice, pasta, bread and other cereals 3582 445 1 8 1 From own production 1305 2 Casual labour 15 3 Borrowed 13 4 Gift 47 5 Purchases 966 6 Food Assistance 1229 7 Barter 4 8 Credit/Loan 3 9 Hunting / gathering 0 Sysmiss 445 g1c. Primary source of White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops 2978 1049 1 9 1 From own production 1539 2 Casual labour 140 3 Borrowed 87 4 Gift 110 5 Purchases 1037 6 Food Assistance 17 7 Barter 38 8 Credit/Loan 3 9 Hunting / gathering 7 Sysmiss 1049 g1c. Primary source of Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses 3837 190 1 9 1 From own production 1282 2 Casual labour 26 3 Borrowed 16 4 Gift 47 5 Purchases 1185 6 Food Assistance 1238 7 Barter 30 8 Credit/Loan 7 9 Hunting / gathering 6 Sysmiss 190 g1c. Primary source of Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper 812 3215 1 9 1 From own production 354 2 Casual labour 6 3 Borrowed 111 4 Gift 94 5 Purchases 160 6 Food Assistance 4 7 Barter 18 8 Credit/Loan 0 9 Hunting / gathering 65 Sysmiss 3215 g1c. Primary source of Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 2406 1621 1 9 1 From own production 894 2 Casual labour 44 3 Borrowed 255 4 Gift 189 5 Purchases 449 6 Food Assistance 6 7 Barter 40 8 Credit/Loan 1 9 Hunting / gathering 528 Sysmiss 1621 g1c. Primary source of Other vegetables: tomatoes, onions, cucumber, green beans, peas, lettuce 3193 834 1 9 1 From own production 328 2 Casual labour 18 3 Borrowed 34 4 Gift 41 5 Purchases 2695 6 Food Assistance 23 7 Barter 29 8 Credit/Loan 1 9 Hunting / gathering 24 Sysmiss 834 g1c. Primary source of Orange fruits (vitamin A rich): mango, papaya, 573 3454 1 9 1 From own production 254 2 Casual labour 2 3 Borrowed 25 4 Gift 118 5 Purchases 112 6 Food Assistance 0 7 Barter 4 8 Credit/Loan 0 9 Hunting / gathering 58 Sysmiss 3454 g1c. Primary source of Other fruits: banana, apple, lemon, sheanuts, balanites etc 573 3454 1 9 1 From own production 244 2 Casual labour 46 3 Borrowed 8 4 Gift 25 5 Purchases 226 6 Food Assistance 11 7 Barter 10 8 Credit/Loan 0 9 Hunting / gathering 3 Sysmiss 3454 g1c. Primary source of Beef, goat, pork, chicken, termites, donkey or camel meat 930 3097 1 9 1 From own production 86 2 Casual labour 5 3 Borrowed 2 4 Gift 7 5 Purchases 825 6 Food Assistance 2 7 Barter 2 8 Credit/Loan 0 9 Hunting / gathering 1 Sysmiss 3097 g1c. Primary source of Liver, kidney, heart and other organ meats 67 3960 1 5 1 From own production 9 2 Casual labour 2 3 Borrowed 0 4 Gift 2 5 Purchases 54 6 Food Assistance 0 7 Barter 0 8 Credit/Loan 0 9 Hunting / gathering 0 Sysmiss 3960 g1c. Primary source of insects (termites,grasshoppers,crickets, others) 322 3705 1 9 5.947 1.839 1 2 2 2 3 2 4 5 5 229 9 82 Sysmiss 3705 g1c. Primary source of Fish: shellfish, tinned tuna, seafood, tilapia, omena 1930 2097 1 9 1 From own production 21 2 Casual labour 3 3 Borrowed 3 4 Gift 7 5 Purchases 1832 6 Food Assistance 3 7 Barter 27 8 Credit/Loan 3 9 Hunting / gathering 31 Sysmiss 2097 g1c. Primary source of Eggs 380 3647 1 7 1 From own production 192 2 Casual labour 0 3 Borrowed 1 4 Gift 10 5 Purchases 174 6 Food Assistance 1 7 Barter 2 8 Credit/Loan 0 9 Hunting / gathering 0 Sysmiss 3647 g1c. Primary source of Milk, mala, yoghurt, cheese 544 3483 1 8 1 From own production 104 2 Casual labour 6 3 Borrowed 1 4 Gift 8 5 Purchases 420 6 Food Assistance 1 7 Barter 2 8 Credit/Loan 2 9 Hunting / gathering 0 Sysmiss 3483 g1c. Primary source of Sugar and sugar products 2150 1877 1 8 1 From own production 3 2 Casual labour 6 3 Borrowed 5 4 Gift 10 5 Purchases 1991 6 Food Assistance 129 7 Barter 3 8 Credit/Loan 3 9 Hunting / gathering 0 Sysmiss 1877 g1c. g1c. Primary source of Oils (from sheanuts, balanites) fat and butter 2950 1077 1 9 1 From own production 11 2 Casual labour 4 3 Borrowed 4 4 Gift 26 5 Purchases 1665 6 Food Assistance 1204 7 Barter 33 8 Credit/Loan 2 9 Hunting / gathering 1 Sysmiss 1077 g1c. Primary source of Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk 3772 255 1 8 1 From own production 10 2 Casual labour 8 3 Borrowed 18 4 Gift 16 5 Purchases 3553 6 Food Assistance 142 7 Barter 21 8 Credit/Loan 4 9 Hunting / gathering 0 Sysmiss 255 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Cereals: Maize, maize flour, wheat flour, rice, pasta, bread and other cereals 4027 0 0 4000000 15469.036 81291.392 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops 4027 0 0 1900000 7291.471 34264.155 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses 4027 0 0 630000 9740.639 27382.852 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper 4027 0 0 50000 412.12 2339.392 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 4027 0 0 350000 1252.429 7289.879 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Other vegetables: tomatoes, onions, cucumber, green beans, peas, lettuce 4027 0 0 960000 6138.093 17968.085 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Orange fruits (vitamin A rich): mango, papaya, 4026 1 0 40000 233.312 1493.394 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Other fruits: banana, apple, lemon, sheanuts, balanites etc 4027 0 0 279000 1125.868 8371.161 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Beef, goat, pork, chicken, termites, donkey or camel meat 4027 0 0 240000 6741.149 14997.634 g1d. What is the amount in the last 30 days spent for purchasing on cash/credit for Liver, kidney, heart and other organ meats 4027 0 0 40000 252.173 1978.973 g1d. What is the amount in the last 30 days spent for purchasing on cash/credit for insects (termites,grasshoppers,crickets, others) 4027 0 0 50000 329.898 1997.265 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Fish: shellfish, tinned tuna, seafood, tilapia, omena 4027 0 0 240000 5257.195 10262.344 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Eggs 4027 0 0 25000 295.555 1593.796 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Milk, mala, yoghurt, cheese 4027 0 0 500000 1741.495 10300.281 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Sugar and sugar products 4027 0 0 700000 5945.181 14766.274 g1d. g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Oils (from sheanuts, balanites) fat and butter 4027 0 0 900000 5358.157 18794.496 g1d. What is the amount spent in the last 30 days for purchasing on cash/credit for Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk 4027 0 0 60000 3777.035 4904.31 1279 2748 1 17 1 other refugee hhs 81 2 native hhs 8 3 trader 1 4 other(specify) 7 5 1 4 1 6 2 113 7 2 1 12 8 2 1 3 1 9 2 3 15 10 2 3 1 1 11 3 907 12 3 1 7 13 3 1 2 2 14 3 2 10 15 3 4 1 16 4 111 17 4 2 1 Sysmiss 2748 g1e_11. From who did you buy most of the food most of the Fish: shellfish, tinned tuna, seafood, tilapia, omena? 1279 2748 1 2 1 other refugee hhs 1158 2 native hhs 121 3 trader 0 4 other(specify) 0 Sysmiss 2748 g1e_12. From who did you buy most of the food most of the Eggs? 1279 2748 1 2 1 other refugee hhs 1115 2 native hhs 164 3 trader 0 4 other(specify) 0 Sysmiss 2748 g1e_13. From who did you buy most of the food most of the Milk, mala, yoghurt, cheese? 1279 2748 1 2 1 other refugee hhs 327 2 native hhs 952 3 trader 0 4 other(specify) 0 Sysmiss 2748 g1e_14. From who did you buy most of the food most of the Sugar and sugar products? 1279 2748 1 2 1 other refugee hhs 1165 2 native hhs 114 3 trader 0 4 other(specify) 0 Sysmiss 2748 Specify other: 113 0 AFI 1 Afi 2 Aid 7 By UN 5 By UNHCR 1 By WFP 1 By WFP under UN 1 Distant village 1 Food aid from UN 1 Food assistant 23 Food ratio 1 Free by UN 3 Free for UN 1 Free from UN 3 From HoimaTown 1 From UN 2 Given by UN 1 Given by UN or WFP 1 Hotel 1 Market 4 NGo' 1 Neighboring shop 1 Not applicable 1 On her farm 1 Only buy cassava flour 1 Only spent on grinding. Its from food relief. 1 Own produce 1 Own production 18 Potatoes 1 Remitances and support from their children 1 Shop 1 Shops 1 Themselves 1 UN 8 UNHCR 1 WFP 1 World Food Programe 1 World food program 1 afi 3 aid 2 food relief support. 1 no purchase made 1 none 1 world food program 2 What percentage of {other refugee households} did you buy from? 121 3906 1 100 76 32.192 What percentage of {native households} did you buy from? 164 3863 1 100 72.512 34.265 What percentage of {traders} did you buy from? 952 3075 0 100 86.553 24.23 What percentage of ${g1e_1other} did you buy from? 114 3913 0 100 30.044 42.347 g1e_2. From who did you buy most of the White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops 1282 2745 1 11 1 other refugee hhs 123 2 native hhs 12 3 trader 6 4 other(specify) 381 5 2 1 29 6 2 3 30 7 2 4 3 8 3 636 9 3 1 2 10 3 2 11 11 4 49 Sysmiss 2745 g1e_2/1 1282 2745 0 1 0 No 1110 1 Yes 172 Sysmiss 2745 g1e_2/2 1282 2745 0 1 0 No 816 1 Yes 466 Sysmiss 2745 g1e_2/3 1282 2745 0 1 0 No 597 1 Yes 685 Sysmiss 2745 g1e_2/4 1282 2745 0 1 0 No 1230 1 Yes 52 Sysmiss 2745 Specify other: 52 0 Host community 1 Hotel 1 In the market 1 Market 17 Marketplace 3 Neighborhood 1 None 1 Nyakadot market 1 Own garden 1 Own production 19 Relatives 1 Vendors 3 own production 2 What percentage of {other refugee households} did you buy from? 172 3855 1 100 71.738 35.851 What percentage of {native households} did you buy from? 466 3561 0 100 75.401 33.112 What percentage of {traders} did you buy from? 685 3342 0 100 86.088 25.44 What percentage of ${g1e_2other} did you buy from? 52 3975 0 100 54.942 46.465 g1e_3. From who did you buy most of the Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses 1440 2587 1 19 1 other refugee hhs 148 2 native hhs 28 3 trader 10 4 other(specify) 34 5 1 4 1 6 2 149 7 2 1 8 8 2 1 3 1 9 2 3 28 10 2 3 1 1 11 3 897 12 3 1 14 13 3 1 2 2 14 3 2 19 15 3 2 1 1 16 3 4 1 17 4 96 18 4 1 1 19 4 2 1 Sysmiss 2587 g1e_3/1 1440 2587 0 1 0 No 1191 1 Yes 249 Sysmiss 2587 g1e_3/2 1440 2587 0 1 0 No 1192 1 Yes 248 Sysmiss 2587 g1e_3/3 1440 2587 0 1 0 No 432 1 Yes 1008 Sysmiss 2587 g1e_3/4 1440 2587 0 1 0 No 1340 1 Yes 100 Sysmiss 2587 Specify other: 98 0 0 2 9 1 AFI 1 Afi 3 Aid 9 Andrew food international 1 By UN 10 By UN or WFP 1 By UNHCR 1 By WFP 1 Food assistant 23 Foodaid 1 Free by UN 2 Free from UN 3 From UN 2 From my garden 1 Hotel 1 Market 2 Market ,buy gnuts 1 Market vendors 1 Marketplace 3 Marketplace Kasonga 1 Markets 1 None 1 Own production 2 UN 6 UNHCR 1 Unhrc 1 Vendors 1 WFP 1 World food program 2 afi 2 aid 1 barter trade 1 food relief 1 world food program 6 What percentage of {other refugee households} did you buy from? 249 3778 0 100 68.137 36.903 What percentage of {native households} did you buy from? 248 3779 1 100 66.496 32.449 What percentage of {traders} did you buy from? 1008 3019 0 100 83.093 28.386 What percentage of ${g1e_3other} did you buy from? 100 3927 0 100 39.95 46.891 g1e_4. From who did you buy most of the Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper 247 3780 1 8 1 other refugee hhs 30 2 native hhs 9 3 trader 93 4 other(specify) 5 5 2 3 4 6 3 95 7 3 2 3 8 4 8 Sysmiss 3780 g1e_4/1 247 3780 0 1 0 No 203 1 Yes 44 Sysmiss 3780 g1e_4/2 247 3780 0 1 0 No 133 1 Yes 114 Sysmiss 3780 g1e_4/3 247 3780 0 1 0 No 145 1 Yes 102 Sysmiss 3780 g1e_4/4 247 3780 0 1 0 No 239 1 Yes 8 Sysmiss 3780 Specify other: 8 0 Market 3 Nyakadot market 1 Own production 2 own farm 2 What percentage of {other refugee households} did you buy from? 44 3983 1 100 62.682 39.834 What percentage of {native households} did you buy from? 114 3913 0 100 59.044 42.855 What percentage of {traders} did you buy from? 102 3925 0 100 81.951 29.803 What percentage of ${g1e_4other} did you buy from? 8 4019 1 100 75.25 45.828 g1e_5. From who did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki 628 3399 1 12 1 other refugee hhs 93 2 native hhs 14 3 trader 3 4 other(specify) 187 5 2 1 22 6 2 3 11 7 2 4 1 8 3 264 9 3 1 1 10 3 2 8 11 3 4 1 12 4 23 Sysmiss 3399 g1e_5/1 628 3399 0 1 0 No 495 1 Yes 133 Sysmiss 3399 g1e_5/2 628 3399 0 1 0 No 385 1 Yes 243 Sysmiss 3399 g1e_5/3 628 3399 0 1 0 No 340 1 Yes 288 Sysmiss 3399 g1e_5/4 628 3399 0 1 0 No 603 1 Yes 25 Sysmiss 3399 Specify other: 25 0 Gatden 1 Hotel 1 Hunting 1 Market 2 Marketplace 4 Nyakadot market 1 Own production 12 Sukuma 1 Vendors 1 own production 1 What percentage of {other refugee households} did you buy from? 133 3894 1 100 72.707 36.481 What percentage of {native households} did you buy from? 243 3784 1 100 64.091 38.31 What percentage of {traders} did you buy from? 288 3739 1 100 86.868 24.833 What percentage of ${g1e_5other} did you buy from? 25 4002 0 100 40.16 45.583 g1e_6. From who did you buy most of the Other vegetables: tomatoes, onions, cucumber, green beans, peas, lettuce 2796 1231 1 17 1 other refugee hhs 194 2 native hhs 44 3 trader 2 4 other(specify) 21 5 1 4 1 6 2 389 7 2 1 33 8 2 3 70 9 2 3 1 1 10 2 4 1 11 3 1899 12 3 1 26 13 3 2 57 14 3 2 1 6 15 3 4 3 16 4 48 17 4 3 1 Sysmiss 1231 g1e_6/1 2796 1231 0 1 0 No 2468 1 Yes 328 Sysmiss 1231 g1e_6/2 2796 1231 0 1 0 No 2193 1 Yes 603 Sysmiss 1231 g1e_6/3 2796 1231 0 1 0 No 710 1 Yes 2086 Sysmiss 1231 g1e_6/4 2796 1231 0 1 0 No 2742 1 Yes 54 Sysmiss 1231 Specify other: 53 0 Bweyale Town 1 From here 1 Garden 1 Hotel 1 Itinerant traders 1 Market 22 Market vendors 1 Market,daily markets 1 Marketplace 9 Marketplace kasonga 1 Markets 1 Neighborhood 1 Own production 1 Vendors 11 What percentage of {other refugee households} did you buy from? 328 3699 0 100 73.899 31.319 What percentage of {native households} did you buy from? 603 3424 0 100 67.937 34.777 What percentage of {traders} did you buy from? 2086 1941 0 100 84.454 27.181 What percentage of ${g1e_6other} did you buy from? 54 3973 20 100 90.778 18.939 g1e_7. From who did you buy most of the Orange fruits (vitamin A rich): mango, papaya? 199 3828 1 8 1 other refugee hhs 11 2 native hhs 3 3 trader 78 4 other(specify) 4 5 2 3 4 6 3 88 7 3 2 2 8 4 9 Sysmiss 3828 g1e_7/1 199 3828 0 1 0 No 181 1 Yes 18 Sysmiss 3828 g1e_7/2 199 3828 0 1 0 No 108 1 Yes 91 Sysmiss 3828 g1e_7/3 199 3828 0 1 0 No 105 1 Yes 94 Sysmiss 3828 g1e_7/4 199 3828 0 1 0 No 190 1 Yes 9 Sysmiss 3828 Specify other: 8 0 Bweyale Town 1 Bweyale market 1 Market 1 Market in Bweyale 1 Marketplace 1 Own production 2 neighbor 1 What percentage of {other refugee households} did you buy from? 18 4009 0 100 56 41.002 What percentage of {native households} did you buy from? 91 3936 1 100 46.077 44.324 What percentage of {traders} did you buy from? 94 3933 0 100 82.989 31.321 What percentage of ${g1e_7other} did you buy from? 9 4018 0 100 56.889 49.212 g1e_8. From who did you buy most of the food most of the Other fruits: banana, apple, lemon, sheanuts, balanites etc? 349 3678 1 9 1 other refugee hhs 10 2 native hhs 1 3 trader 133 4 other(specify) 1 5 2 3 1 6 3 185 7 3 1 1 8 3 2 5 9 4 12 Sysmiss 3678 g1e_8/1 349 3678 0 1 0 No 336 1 Yes 13 Sysmiss 3678 g1e_8/2 349 3678 0 1 0 No 208 1 Yes 141 Sysmiss 3678 g1e_8/3 349 3678 0 1 0 No 157 1 Yes 192 Sysmiss 3678 g1e_8/4 349 3678 0 1 0 No 337 1 Yes 12 Sysmiss 3678 Specify other: 12 0 Afi 1 Bweyale Town 1 Own production 1 Vendors 1 World food program 3 unhrc 1 world food program 4 What percentage of {other refugee households} did you buy from? 13 4014 1 100 74 41.043 What percentage of {native households} did you buy from? 141 3886 1 100 67.092 40.234 What percentage of {traders} did you buy from? 192 3835 0 100 77.932 31.936 What percentage of ${g1e_8other} did you buy from? 12 4015 1 100 91.75 28.579 g1e_9. From who did you buy most of the food most of the Beef, goat, pork, chicken, termites, donkey or camel meat? 1219 2808 1 11 1 other refugee hhs 27 2 native hhs 4 3 trader 2 4 other(specify) 168 5 2 1 6 6 2 1 4 1 7 2 3 17 8 3 961 9 3 2 21 10 4 11 11 4 2 1 Sysmiss 2808 g1e_9/1 1219 2808 0 1 0 No 1179 1 Yes 40 Sysmiss 2808 g1e_9/2 1219 2808 0 1 0 No 1001 1 Yes 218 Sysmiss 2808 g1e_9/3 1219 2808 0 1 0 No 218 1 Yes 1001 Sysmiss 2808 g1e_9/4 1219 2808 0 1 0 No 1206 1 Yes 13 Sysmiss 2808 Specify other: 13 0 Butcher 1 Butchers 1 Centre 1 Hotel 1 Kasonga 1 Kasper Market 1 Market 1 Marketplace 1 Own poultry 1 Own production 3 Vendors 1 What percentage of {other refugee households} did you buy from? 40 3987 0 100 80.5 25.815 What percentage of {native households} did you buy from? 218 3809 0 100 78.211 34.62 What percentage of {traders} did you buy from? 1001 3026 0 100 88.373 27.334 What percentage of ${g1e_9other} did you buy from? 13 4014 1 100 51.077 47.862 g1e_10. From who did you buy most of the food most of the Liver, kidney, heart and other organ meats? 96 3931 1 5 1 other refugee hhs 2 2 native hhs 21 3 trader 71 4 other(specify) 1 5 3 2 1 Sysmiss 3931 g1e_10/1 96 3931 0 1 0 No 93 1 Yes 3 Sysmiss 3931 g1e_10/2 96 3931 0 1 0 No 74 1 Yes 22 Sysmiss 3931 g1e_10/3 96 3931 0 1 0 No 23 1 Yes 73 Sysmiss 3931 g1e_10/4 96 3931 0 0 0 0 0 96 Sysmiss 3931 What percentage of {other refugee households} did you buy from? 3 4024 70 100 90 17.321 What percentage of {native households} did you buy from? 22 4005 1 100 82.773 32.088 What percentage of {traders} did you buy from? 73 3954 1 100 56.575 47.879 g1e_17. From who did you buy most of the food most of the insects (termites,grasshoppers,crickets, others) 266 3761 1 8 1 other refugee hhs 3 2 native hhs 1 3 trader 45 4 other(specify) 1 5 2 3 1 6 3 207 7 3 2 2 8 4 6 Sysmiss 3761 g1e_17/1 266 3761 0 1 0 No 261 1 Yes 5 Sysmiss 3761 g1e_17/2 266 3761 0 1 0 No 216 1 Yes 50 Sysmiss 3761 g1e_17/3 266 3761 0 1 0 No 56 1 Yes 210 Sysmiss 3761 g1e_17/4 266 3761 0 1 0 No 260 1 Yes 6 Sysmiss 3761 Specify other: 6 0 From hawkers 1 Hawkers 3 Marketplace 1 Vendors 1 What percentage of {other refugee households} did you buy from? 5 4022 50 100 82 24.9 What percentage of {native households} did you buy from? 50 3977 40 100 93.8 16.523 What percentage of {traders} did you buy from? 210 3817 0 100 81.755 31.321 What percentage of ${g1e_17other} did you buy from? 6 4021 70 100 95 12.247 g1e_11/1 2046 1981 0 1 0 No 1754 1 Yes 292 Sysmiss 1981 g1e_11/2 2046 1981 0 1 0 No 1665 1 Yes 381 Sysmiss 1981 g1e_11/3 2046 1981 0 1 0 No 530 1 Yes 1516 Sysmiss 1981 g1e_11/4 2046 1981 0 1 0 No 2015 1 Yes 31 Sysmiss 1981 Specify other: 31 0 ,0 1 At Lake 1 At lake and market 1 Fishermen 2 Hawkers 1 Hotel 1 Lake 1 Market 6 Market vendors 1 Marketplace 5 Marketplace Kasonga 1 O 1 Refugee traders 1 Vendors 8 What percentage of {other refugee households} did you buy from? 292 3735 0 100 71.993 28.516 What percentage of {native households} did you buy from? 381 3646 0 100 74.614 29.356 What percentage of {traders} did you buy from? 1516 2511 0 100 84.64 28.812 What percentage of ${g1e_11other} did you buy from? 31 3996 0 100 79.742 32.061 g1e_12/1 256 3771 0 1 0 No 241 1 Yes 15 Sysmiss 3771 g1e_12/2 256 3771 0 1 0 No 203 1 Yes 53 Sysmiss 3771 g1e_12/3 256 3771 0 1 0 No 56 1 Yes 200 Sysmiss 3771 g1e_12/4 256 3771 0 0 0 0 0 256 Sysmiss 3771 What percentage of {other refugee households} did you buy from? 15 4012 3 100 69.533 38.253 What percentage of {native households} did you buy from? 53 3974 1 100 74 35.588 What percentage of {traders} did you buy from? 200 3827 1 100 81.32 33.435 g1e_13/1 478 3549 0 1 0 No 467 1 Yes 11 Sysmiss 3549 g1e_13/2 478 3549 0 1 0 No 264 1 Yes 214 Sysmiss 3549 g1e_13/3 478 3549 0 1 0 No 225 1 Yes 253 Sysmiss 3549 g1e_13/4 478 3549 0 1 0 No 461 1 Yes 17 Sysmiss 3549 Specify other: 17 0 Banyankole 1 Hotel 1 Itinerant trader 1 Itinerant traders 8 Milk hawkers 1 Neighborhood 1 Own production 2 Trading centre 1 muyakole from the host community. 1 What percentage of {other refugee households} did you buy from? 11 4016 20 100 72.091 36.001 What percentage of {native households} did you buy from? 214 3813 0.05 100 80.954 33.157 What percentage of {traders} did you buy from? 253 3774 0 100 83.435 29.937 What percentage of ${g1e_13other} did you buy from? 17 4010 1 100 88.882 23.585 g1e_14/1 2131 1896 0 1 0 No 1954 1 Yes 177 Sysmiss 1896 g1e_14/2 2131 1896 0 1 0 No 1862 1 Yes 269 Sysmiss 1896 g1e_14/3 2131 1896 0 1 0 No 362 1 Yes 1769 Sysmiss 1896 g1e_14/4 2131 1896 0 1 0 No 2120 1 Yes 11 Sysmiss 1896 Specify other: 11 0 Borrowed 1 Bweyale Town 1 By ,UN 1 By UN 1 From UN 1 Hotel 1 Neighborhood shops 1 Neighboring shop 1 Retail shops 1 Wfp 1 world food program 1 What percentage of {other refugee households} did you buy from? 177 3850 0 100 78 29.042 What percentage of {native households} did you buy from? 269 3758 1 100 79.171 28.079 What percentage of {traders} did you buy from? 1769 2258 0 100 87.021 27.538 What percentage of ${g1e_14other} did you buy from? 11 4016 0 100 47.818 49.37 g1e_15. From who did you buy most of the food most of the Oils (from sheanuts, balanites) fat and butter? 1832 2195 1 13 1 other refugee hhs 208 2 native hhs 15 3 trader 1 4 other(specify) 24 5 2 124 6 2 1 10 7 2 3 7 8 2 4 1 9 3 1317 10 3 1 24 11 3 2 5 12 3 2 1 2 13 4 94 Sysmiss 2195 g1e_15/1 1832 2195 0 1 0 No 1548 1 Yes 284 Sysmiss 2195 g1e_15/2 1832 2195 0 1 0 No 1667 1 Yes 165 Sysmiss 2195 g1e_15/3 1832 2195 0 1 0 No 452 1 Yes 1380 Sysmiss 2195 g1e_15/4 1832 2195 0 1 0 No 1737 1 Yes 95 Sysmiss 2195 Specify other: 91 0 0 1 Afi 5 Aid 11 Andrew food international 1 B 1 By UN 4 1 By UNHCR 1 Food aid 2 Food assistant 22 Food supply 1 Free UN 1 Free from UN 2 Free given by UN 1 From UN 6 From here 1 Given WFP 1 Given by UN 1 Here 1 Hotel 1 Market 1 Marketplace 1 N/A 1 NGO' 1 NGo' 1 None 1 Retail shops 1 Shops 2 UN 8 UNHCR 2 Unhcr 1 WFP 2 ngo 1 world food program 3 What percentage of {other refugee households} did you buy from? 284 3743 0 100 79.189 33.284 What percentage of {native households} did you buy from? 165 3862 2 100 77.958 29.352 What percentage of {traders} did you buy from? 1380 2647 0 100 85.047 29.753 What percentage of ${g1e_15other} did you buy from? 95 3932 0 100 36.274 47.145 g1e_16. From who did you buy most of the food most of the Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk? 3602 425 1 20 1 other refugee hhs 249 2 native hhs 43 3 trader 9 4 other(specify) 21 5 1 3 2 1 6 1 4 2 7 2 326 8 2 1 34 9 2 1 3 3 10 2 3 41 11 2 3 1 1 12 2 4 1 13 3 2788 14 3 1 21 15 3 1 2 6 16 3 2 25 17 3 2 1 4 18 4 25 19 4 2 1 20 4 3 1 Sysmiss 425 g1e_16/1 3602 425 0 1 0 No 3208 1 Yes 394 Sysmiss 425 g1e_16/2 3602 425 0 1 0 No 3107 1 Yes 495 Sysmiss 425 g1e_16/3 3602 425 0 1 0 No 681 1 Yes 2921 Sysmiss 425 g1e_16/4 3602 425 0 1 0 No 3572 1 Yes 30 Sysmiss 425 Specify other: 30 0 By UN 1 Food donations 1 For free 1 Free by UN 1 From her own bar 1 Here 1 Hotel 1 Market 3 Marketplace 6 Neighborhood 1 Neighborhood shops 2 Neighboring shop 2 Neighboring shops 1 Own shop 1 Shops 1 UN 1 UNHCR 1 Vendors 4 What percentage of {other refugee households} did you buy from? 394 3633 1 100 74.997 30.25 What percentage of {native households} did you buy from? 495 3532 0 100 74.008 30.693 What percentage of {traders} did you buy from? 2921 1106 0 100 88.835 25.053 What percentage of ${g1e_16other} did you buy from? 30 3997 0 100 69.667 38.706 g1f_1. Where did you buy most of the Cereals: Maize, maize flour, wheat flour, rice, pasta, bread and other cereals? 1279 2748 1 24 1 here 156 2 neighbour,village 4 3 closest town 1 4 trade,centers 2 5 itinerant trader 12 6 other 1 7 1 6 1 8 2 47 9 2 1 5 10 2 3 1 11 2 3 4 3 12 2 4 6 13 3 111 14 3 2 2 15 3 4 19 16 4 767 17 4 1 5 18 4 2 10 19 4 2 1 1 20 4 3 22 21 4 3 1 1 22 4 6 1 23 5 8 24 6 93 Sysmiss 2748 g1f_11. Where did you buy most of the Fish: shellfish, tinned tuna, seafood, tilapia, omena? 1279 2748 1 2 1 here 1090 2 neighbour,village 189 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 g1f_12. Where did you buy most of the Eggs? 1279 2748 1 2 1 here 1199 2 neighbour,village 80 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 g1f_13. Where did you buy most of the Milk, mala, yoghurt, cheese? 1279 2748 1 2 1 here 1117 2 neighbour,village 162 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 g1f_14. Where did you buy most of the Sugar and sugar products? 1279 2748 1 2 1 here 430 2 neighbour,village 849 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 g1f_15. Where did you buy most of the Oils (from sheanuts, balanites) fat and butter? 1279 2748 1 2 1 here 1271 2 neighbour,village 8 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 g1f_16. Where did you buy most of the Condiments/alcohol: coffee, tea, salt, garlic, spices, sauces including small amounts of milk? 1279 2748 1 2 1 here 1184 2 neighbour,village 95 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 2748 Specify other: 90 0 0 1 AFI 1 Afi 2 Bu UN 1 By UN 4 By WFP 1 Field garden 1 Food aid for free by UN 1 Food assistant 16 Food center 7 For free 1 Free 1 Free by UN 1 Free from UN 3 From UN 2 Given UN 1 Her farm 1 Market 1 Marketplace 1 N/A 1 NGo' 1 Neighboring shop 2 None 3 Not bought 2 Own production 14 Refugees 1 Remittances 1 UN 7 WFP 4 World food program 1 afi 3 relief support 1 world food program 2 g1f_2. Where did you buy most of the White tubers and roots: Cassava, potatoes, sweet potatoes, banana plantain, tubers and other root crops? 1279 2748 1 24 1 here 327 2 neighbour,village 8 3 closest town 1 4 trade,centers 3 5 itinerant trader 5 6 other 1 7 2 137 8 2 1 7 9 2 3 1 10 2 3 4 3 11 2 4 6 12 3 53 13 3 2 2 14 3 4 8 15 3 4 2 2 16 3 6 1 17 4 350 18 4 1 3 19 4 2 5 20 4 3 7 21 4 6 2 22 5 1 23 6 345 24 6 4 1 Sysmiss 2748 g1f_2/1 1279 2748 0 1 0 No 924 1 Yes 355 Sysmiss 2748 g1f_2/2 1279 2748 0 1 0 No 1107 1 Yes 172 Sysmiss 2748 g1f_2/3 1279 2748 0 1 0 No 1198 1 Yes 81 Sysmiss 2748 g1f_2/4 1279 2748 0 1 0 No 885 1 Yes 394 Sysmiss 2748 g1f_2/5 1279 2748 0 1 0 No 1277 1 Yes 2 Sysmiss 2748 g1f_2/6 1279 2748 0 1 0 No 930 1 Yes 349 Sysmiss 2748 Specify other: 237 0 0 14 00 2 0wn production 1 Borrowed 1 Butter trade 1 Didn't buy 2 Didn't buy, was gifted by friend 1 Dint buy 1 Dint buy, own production 1 Dint consume 1 Field garden 3 Field garden. 1 From other second family of the husband 1 From own production 1 From own production. 1 Gets from the fathers garden 1 Gift 1 Given by the fellow sudanese friends and relatives 1 Home 1 Home production 1 In the market 1 Market 15 Marketplace 6 My garden 1 N/A 2 Na 1 Native households 2 Neighborhood 4 Neighbours 1 Never bought from own production 1 No 3 Non 6 None 46 None/ Aid 1 Not applicable 22 Not bought 1 Not eaten 2 Not eaten any 1 Not eaten in E last one month 1 On farm 1 Other refugees household 1 Other relatives 1 Own 1 Own farm 4 Own garden 4 Own pro 1 Own production 46 Payment for work 1 Refugees 1 Remittances 1 didn't buy 1 n.a 1 n/p 2 none 2 not applicable 1 not bought 2 not eaten 1 own farm 1 own production 10 g1f_3. Where did you buy most of the Pulses/legumes, seeds & nuts: Bean, peas, groundnuts, cashew nuts, and other pulses? 1279 2748 1 29 1 here 360 2 neighbour,village 3 3 closest town 1 4 trade,centers 1 5 itinerant trader 3 6 other 1 7 1 4 16 8 1 4 3 1 9 1 5 1 10 2 51 11 2 1 5 12 2 3 5 13 2 3 4 1 14 2 4 15 15 2 4 1 1 16 3 60 17 3 4 13 18 3 5 4 1 19 4 454 20 4 1 5 21 4 1 2 1 22 4 2 8 23 4 3 1 24 4 5 3 25 4 5 2 1 26 4 6 3 27 5 1 28 6 262 29 6 1 1 Sysmiss 2748 g1f_3/1 1279 2748 0 1 0 No 879 1 Yes 400 Sysmiss 2748 g1f_3/2 1279 2748 0 1 0 No 1186 1 Yes 93 Sysmiss 2748 g1f_3/3 1279 2748 0 1 0 No 1192 1 Yes 87 Sysmiss 2748 g1f_3/4 1279 2748 0 1 0 No 752 1 Yes 527 Sysmiss 2748 g1f_3/5 1279 2748 0 1 0 No 1272 1 Yes 7 Sysmiss 2748 g1f_3/6 1279 2748 0 1 0 No 1013 1 Yes 266 Sysmiss 2748 Specify other: 186 0 0 4 00 1 99 1 AFI 1 Afi 3 Aid 3 By UN 4 By WFP 1 Causual 1 Did not buy 1 Didn't buy 3 Distribution center 1 Distribution from unhcr food support 1 Distribution point 1 Family freely given 1 Field garden 1 Food Aid 1 Food aid 3 Food aid from UN 1 Food assistant 15 Food center 6 Foodaid 1 Free 2 Free from UN 2 From UN 3 From food Aid 1 From own production 2 Garden 1 Market 1 Marketplace 4 My garden 1 N. A 1 N/A 1 Native households 1 Neighborhood 1 No 2 No purchases 1 Non 1 None 35 Not applicable 9 O 1 Own Production 1 Own farm 1 Own garden 2 Own production 20 Relatives 1 Remittances 1 UN 8 WFP 6 Wfp 1 World Food Programe 1 World food program 2 afi 1 food relief 1 n.a 1 none 3 not applicable 2 not eaten 2 own farm 1 own production 2 unhcr 1 world food program 3 g1f_4. Where did you buy most of the Orange Vegetables (vitamin A rich): carrot, pumpkin, orange sweet potato, red pepper? 247 3780 1 16 1 here 60 2 neighbour,village 3 3 closest town 1 4 trade,centers 1 5 itinerant trader 58 6 other 3 7 2 3 1 8 2 4 2 9 3 10 10 3 4 1 11 3 5 1 12 4 97 13 4 2 1 14 4 3 2 15 5 1 16 6 5 Sysmiss 3780 g1f_4/1 247 3780 0 1 0 No 179 1 Yes 68 Sysmiss 3780 g1f_4/2 247 3780 0 1 0 No 178 1 Yes 69 Sysmiss 3780 g1f_4/3 247 3780 0 1 0 No 231 1 Yes 16 Sysmiss 3780 g1f_4/4 247 3780 0 1 0 No 143 1 Yes 104 Sysmiss 3780 g1f_4/5 247 3780 0 1 0 No 245 1 Yes 2 Sysmiss 3780 g1f_4/6 247 3780 0 1 0 No 242 1 Yes 5 Sysmiss 3780 Specify other: 5 0 Native households 1 Neighborhood 1 Own production 2 none 1 g1f_5. Where did you buy most of the Green leafy vegetables (iron rich): spinach, cassava leaves, Sukuma wiki? 628 3399 1 24 1 here 134 2 neighbour,village 5 3 closest town 1 4 trade,centers 2 5 itinerant trader 9 6 other 1 7 2 109 8 2 1 10 9 2 3 2 10 2 3 4 1 11 2 4 7 12 2 4 1 1 13 3 31 14 3 2 1 15 3 4 2 16 4 266 17 4 1 1 18 4 2 3 19 4 3 4 20 4 3 2 1 21 4 5 2 22 4 6 2 23 5 1 24 6 32 Sysmiss 3399 g1f_5/1 628 3399 0 1 0 No 464 1 Yes 164 Sysmiss 3399 g1f_5/2 628 3399 0 1 0 No 487 1 Yes 141 Sysmiss 3399 g1f_5/3 628 3399 0 1 0 No 584 1 Yes 44 Sysmiss 3399 g1f_5/4 628 3399 0 1 0 No 328 1 Yes 300 Sysmiss 3399 g1f_5/5 628 3399 0 1 0 No 624 1 Yes 4 Sysmiss 3399 g1f_5/6 628 3399 0 1 0 No 594 1 Yes 34 Sysmiss 3399 Specify other: 34 0 Market 4 Marketplace 4 Native household 1 Native households 8 Natives 1 Neighborhood 3 Own production 11 Vendors 1 own production 1 g1f_6. Where did you buy most of the Other vegetables: tomatoes, onions, cucumber, green beans, peas, lettuce? 2796 1231 1 40 1 here 416 2 neighbour,village 12 3 closest town 1 4 trade,centers 3 5 itinerant trader 1 6 other 4 7 1 3 4 1 8 1 4 79 9 1 4 2 1 10 1 4 3 2 11 1 4 5 1 12 1 5 1 13 1 6 1 14 2 103 15 2 1 12 16 2 1 3 4 1 17 2 1 4 5 1 18 2 3 4 19 2 3 4 10 20 2 3 5 4 1 21 2 4 36 22 3 190 23 3 2 6 24 3 2 4 2 25 3 4 25 26 3 4 1 1 27 3 4 2 1 28 3 6 2 29 4 1729 30 4 1 32 31 4 1 2 1 32 4 2 27 33 4 2 3 1 34 4 3 21 35 4 3 2 2 36 4 5 5 37 4 5 2 1 38 4 6 2 39 5 16 40 6 41 Sysmiss 1231 g1f_6/1 2796 1231 0 1 0 No 2225 1 Yes 571 Sysmiss 1231 g1f_6/2 2796 1231 0 1 0 No 2569 1 Yes 227 Sysmiss 1231 g1f_6/3 2796 1231 0 1 0 No 2521 1 Yes 275 Sysmiss 1231 g1f_6/4 2796 1231 0 1 0 No 809 1 Yes 1987 Sysmiss 1231 g1f_6/5 2796 1231 0 1 0 No 2769 1 Yes 27 Sysmiss 1231 g1f_6/6 2796 1231 0 1 0 No 2750 1 Yes 46 Sysmiss 1231 Specify other: 42 0 Market 21 Marketplace 9 Mostly refugeesse 1 Native households 6 Near by market 1 Neighborhood 2 None 2 g1f_7. Where did you buy most of the Orange fruits (vitamin A rich): mango, papaya? 199 3828 1 15 1 here 32 2 neighbour,village 5 3 closest town 48 4 trade,centers 4 5 itinerant trader 1 6 other 2 7 3 10 8 3 1 1 9 3 4 1 10 4 80 11 4 1 2 1 12 4 3 2 13 4 5 1 14 5 3 15 6 8 Sysmiss 3828 g1f_7/1 199 3828 0 1 0 No 156 1 Yes 43 Sysmiss 3828 g1f_7/2 199 3828 0 1 0 No 143 1 Yes 56 Sysmiss 3828 g1f_7/3 199 3828 0 1 0 No 184 1 Yes 15 Sysmiss 3828 g1f_7/4 199 3828 0 1 0 No 106 1 Yes 93 Sysmiss 3828 g1f_7/5 199 3828 0 1 0 No 195 1 Yes 4 Sysmiss 3828 g1f_7/6 199 3828 0 1 0 No 191 1 Yes 8 Sysmiss 3828 Specify other: 8 0 Bweyale Market 1 Market 1 Native households 3 Neighborhood 1 Own production 2 349 3678 1 16 1 here 27 2 neighbour,village 2 3 closest town 2 4 trade,centers 96 5 itinerant trader 1 6 other 1 7 2 4 2 8 3 20 9 3 2 1 10 3 4 1 11 3 4 2 1 12 4 176 13 4 2 1 14 4 3 4 15 5 3 16 6 11 Sysmiss 3678 g1f_8/1 349 3678 0 1 0 No 317 1 Yes 32 Sysmiss 3678 g1f_8/2 349 3678 0 1 0 No 244 1 Yes 105 Sysmiss 3678 g1f_8/3 349 3678 0 1 0 No 321 1 Yes 28 Sysmiss 3678 g1f_8/4 349 3678 0 1 0 No 162 1 Yes 187 Sysmiss 3678 g1f_8/5 349 3678 0 1 0 No 346 1 Yes 3 Sysmiss 3678 g1f_8/6 349 3678 0 1 0 No 338 1 Yes 11 Sysmiss 3678 Specify other: 10 0 00 2 Marketplace 1 None 1 Own production 1 World food program 3 afi 1 food aid 1 g1f_9. Where did you buy most of the food most of the Beef, goat, pork, chicken, termites, donkey or camel meat? 1219 2808 1 24 1 here 111 2 neighbour,village 2 3 closest town 1 4 trade,centers 1 5 itinerant trader 9 6 other 1 7 2 47 8 2 1 2 9 2 1 4 1 10 2 3 4 1 11 2 4 14 12 3 100 13 3 2 1 14 3 4 15 15 3 4 1 2 1 16 3 4 2 2 17 4 863 18 4 1 4 19 4 2 12 20 4 2 1 1 21 4 3 17 22 4 5 1 23 5 3 24 6 9 Sysmiss 2808 g1f_9/1 1219 2808 0 1 0 No 1085 1 Yes 134 Sysmiss 2808 g1f_9/2 1219 2808 0 1 0 No 1133 1 Yes 86 Sysmiss 2808 g1f_9/3 1219 2808 0 1 0 No 1080 1 Yes 139 Sysmiss 2808 g1f_9/4 1219 2808 0 1 0 No 276 1 Yes 943 Sysmiss 2808 g1f_9/5 1219 2808 0 1 0 No 1214 1 Yes 5 Sysmiss 2808 g1f_9/6 1219 2808 0 1 0 No 1210 1 Yes 9 Sysmiss 2808 Specify other: 5 0 No where 1 Own production 2 Vendors 1 none 1 g1f_10. Where did you buy most of the food most of the Liver, kidney, heart and other organ meats? 96 3931 1 10 1 here 6 2 neighbour,village 1 3 closest town 1 4 trade,centers 10 5 itinerant trader 1 6 other 2 7 3 4 8 3 4 1 9 4 69 10 4 2 1 Sysmiss 3931 g1f_10/1 96 3931 0 1 0 No 88 1 Yes 8 Sysmiss 3931 g1f_10/2 96 3931 0 1 0 No 81 1 Yes 15 Sysmiss 3931 g1f_10/3 96 3931 0 1 0 No 90 1 Yes 6 Sysmiss 3931 g1f_10/4 96 3931 0 1 0 No 21 1 Yes 75 Sysmiss 3931 g1f_10/5 96 3931 0 0 0 0 0 96 Sysmiss 3931 g1f_10/6 96 3931 0 0 0 0 0 96 Sysmiss 3931 g1f_17. Where did you buy most of the food most of the insects (termites,grasshoppers,crickets, others) ? 266 3761 1 13 1 here 37 2 neighbour,village 1 3 closest town 9 4 trade,centers 2 5 itinerant trader 23 6 other 6 7 3 4 5 1 8 4 124 9 4 2 1 10 4 3 2 11 4 5 1 12 5 54 13 6 5 Sysmiss 3761 g1f_17/1 266 3761 0 1 0 No 228 1 Yes 38 Sysmiss 3761 g1f_17/2 266 3761 0 1 0 No 254 1 Yes 12 Sysmiss 3761 g1f_17/3 266 3761 0 1 0 No 234 1 Yes 32 Sysmiss 3761 g1f_17/4 266 3761 0 1 0 No 128 1 Yes 138 Sysmiss 3761 g1f_17/5 266 3761 0 1 0 No 210 1 Yes 56 Sysmiss 3761 g1f_17/6 266 3761 0 1 0 No 261 1 Yes 5 Sysmiss 3761 Specify other: 4 0 Arua town 1 Hawkers 2 Vendors 1 g1f_11/1 2046 1981 0 1 0 No 1601 1 Yes 445 Sysmiss 1981 g1f_11/2 2046 1981 0 1 0 No 1921 1 Yes 125 Sysmiss 1981 g1f_11/3 2046 1981 0 1 0 No 1867 1 Yes 179 Sysmiss 1981 g1f_11/4 2046 1981 0 1 0 No 549 1 Yes 1497 Sysmiss 1981 g1f_11/5 2046 1981 0 1 0 No 1995 1 Yes 51 Sysmiss 1981 g1f_11/6 2046 1981 0 1 0 No 2029 1 Yes 17 Sysmiss 1981 Specify other: 16 0 Afi 1 At lake 2 Fishermen 1 Lake 1 Market 3 Marketplace 7 Markets 1 g1f_12/1 256 3771 0 1 0 No 209 1 Yes 47 Sysmiss 3771 g1f_12/2 256 3771 0 1 0 No 234 1 Yes 22 Sysmiss 3771 g1f_12/3 256 3771 0 1 0 No 239 1 Yes 17 Sysmiss 3771 g1f_12/4 256 3771 0 1 0 No 73 1 Yes 183 Sysmiss 3771 g1f_12/5 256 3771 0 1 0 No 252 1 Yes 4 Sysmiss 3771 g1f_12/6 256 3771 0 0 0 0 0 256 Sysmiss 3771 g1f_13/1 478 3549 0 1 0 No 375 1 Yes 103 Sysmiss 3549 g1f_13/2 478 3549 0 1 0 No 352 1 Yes 126 Sysmiss 3549 g1f_13/3 478 3549 0 1 0 No 443 1 Yes 35 Sysmiss 3549 g1f_13/4 478 3549 0 1 0 No 303 1 Yes 175 Sysmiss 3549 g1f_13/5 478 3549 0 1 0 No 428 1 Yes 50 Sysmiss 3549 g1f_13/6 478 3549 0 1 0 No 462 1 Yes 16 Sysmiss 3549 Specify other: 11 0 From neighbors 1 Here 1 Natives 1 Neighborhood 3 Neighbour 1 Neighbours 1 None 1 Own production 1 Vendors 1 g1f_14/1 2131 1896 0 1 0 No 1771 1 Yes 360 Sysmiss 1896 g1f_14/2 2131 1896 0 1 0 No 2083 1 Yes 48 Sysmiss 1896 g1f_14/3 2131 1896 0 1 0 No 1904 1 Yes 227 Sysmiss 1896 g1f_14/4 2131 1896 0 1 0 No 526 1 Yes 1605 Sysmiss 1896 g1f_14/5 2131 1896 0 1 0 No 2104 1 Yes 27 Sysmiss 1896 g1f_14/6 2131 1896 0 1 0 No 2122 1 Yes 9 Sysmiss 1896 Specify other: 5 0 For free as food aid 1 Neighborhood shops 1 UN 2 world food program 1 g1f_15/1 1832 2195 0 1 0 No 1550 1 Yes 282 Sysmiss 2195 g1f_15/2 1832 2195 0 1 0 No 1688 1 Yes 144 Sysmiss 2195 g1f_15/3 1832 2195 0 1 0 No 1657 1 Yes 175 Sysmiss 2195 g1f_15/4 1832 2195 0 1 0 No 532 1 Yes 1300 Sysmiss 2195 g1f_15/5 1832 2195 0 1 0 No 1819 1 Yes 13 Sysmiss 2195 g1f_15/6 1832 2195 0 1 0 No 1751 1 Yes 81 Sysmiss 2195 Specify other: 76 0 0 1 00 1 Afi 5 Aid 4 At lakemarket 1 By UN 6 Food aid 3 Food aid by UN 1 Food assistant 12 Food center 8 Free by WFP 1 Free from UN 4 From refugees 1 From the refugees 1 Market 1 Marketplace 4 NGO 1 No 1 None 2 Office 1 Refugee households 1 UN 8 WFP 5 aid 1 food aid 1 world food program 1 g1f_16/1 3602 425 0 1 0 No 2853 1 Yes 749 Sysmiss 425 g1f_16/2 3602 425 0 1 0 No 3432 1 Yes 170 Sysmiss 425 g1f_16/3 3602 425 0 1 0 No 3224 1 Yes 378 Sysmiss 425 g1f_16/4 3602 425 0 1 0 No 1004 1 Yes 2598 Sysmiss 425 g1f_16/5 3602 425 0 1 0 No 3551 1 Yes 51 Sysmiss 425 g1f_16/6 3602 425 0 1 0 No 3582 1 Yes 20 Sysmiss 425 Specify other: 14 0 0 1 From UN 1 Market 1 Marketplace 3 Neighborhood 1 Neighborhood shops 3 None 1 O 1 UN 2 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 H4. Which income-generating enterprises did individuals in your household operate over the past 12 months? 4027 0 0 2736 0 11 1 0 16 29 1 0 18 1 0 19 1 0 20 4 0 21 3 0 21 20 1 0 23 2 0 25 2 0 26 1 0 27 1 0 29 9 0 6 1 0 8 2 1 213 1 10 6 1 11 1 1 13 3 1 13 24 1 1 14 2 1 15 1 1 19 8 1 20 1 1 21 1 1 25 1 1 29 4 1 3 2 1 4 13 1 1 6 25 1 1 8 1 10 63 10 12 1 10 14 1 10 18 1 10 19 5 10 20 1 10 21 1 10 21 20 1 10 24 1 10 25 1 10 3 1 10 3 8 1 10 7 1 11 19 11 10 1 11 22 1 11 29 1 12 1 13 25 13 3 1 13 3 10 1 14 18 14 1 1 14 11 1 14 19 1 15 31 15 14 1 15 16 1 15 19 3 15 6 1 16 30 16 20 1 16 29 1 16 3 1 17 13 17 0 1 17 16 1 18 10 18 10 1 18 15 1 19 145 19 1 1 19 10 2 19 13 1 19 15 1 19 16 2 19 20 4 19 20 13 1 19 20 21 1 19 21 3 19 23 1 19 24 1 19 25 2 19 29 3 19 29 11 1 19 3 1 19 3 17 1 2 4 2 1 1 2 10 1 20 49 20 1 1 20 10 1 20 19 5 20 19 24 1 20 21 4 20 21 15 19 29 1 20 29 3 21 86 21 0 1 21 1 1 21 10 1 21 15 1 21 19 3 21 19 15 1 21 20 3 21 20 18 1 21 20 19 1 21 24 1 21 25 1 21 29 20 1 21 3 1 22 1 22 20 1 23 7 23 14 1 23 20 10 1 24 42 24 1 1 24 20 1 24 29 1 25 20 25 6 1 26 3 26 3 1 27 3 28 19 1 29 158 29 0 2 29 10 1 29 18 1 29 21 1 29 25 1 3 82 3 1 15 1 3 11 3 3 19 1 3 20 1 3 4 2 3 6 1 3 7 1 4 10 4 3 1 6 32 6 1 1 6 21 1 7 7 7 10 14 1 7 21 1 8 17 8 15 1 8 19 1 8 19 1 1 8 20 1 8 21 20 1 8 24 1 8 25 1 8 29 2 9 1 h4_14/0 4027 0 0 1 0 No 1257 1 Yes 2770 h4_14/1 4027 0 0 1 0 No 3771 1 Yes 256 h4_14/2 4027 0 0 1 0 No 4021 1 Yes 6 h4_14/3 4027 0 0 1 0 No 3923 1 Yes 104 h4_14/4 4027 0 0 1 0 No 4013 1 Yes 14 h4_14/5 4027 0 0 0 0 0 0 4027 h4_14/6 4027 0 0 1 0 No 3988 1 Yes 39 h4_14/7 4027 0 0 1 0 No 4016 1 Yes 11 h4_14/8 4027 0 0 1 0 No 3997 1 Yes 30 h4_14/9 4027 0 0 1 0 No 4026 1 Yes 1 h4_14/10 4027 0 0 1 0 No 3931 1 Yes 96 h4_14/11 4027 0 0 1 0 No 3998 1 Yes 29 h4_14/12 4027 0 0 1 0 No 4025 1 Yes 2 h4_14/13 4027 0 0 1 0 No 3993 1 Yes 34 h4_14/14 4027 0 0 1 0 No 4000 1 Yes 27 h4_14/15 4027 0 0 1 0 No 3982 1 Yes 45 h4_14/16 4027 0 0 1 0 No 3989 1 Yes 38 h4_14/17 4027 0 0 1 0 No 4011 1 Yes 16 h4_14/18 4027 0 0 1 0 No 4011 1 Yes 16 h4_14/19 4027 0 0 1 0 No 3822 1 Yes 205 h4_14/20 4027 0 0 1 0 No 3935 1 Yes 92 h4_14/21 4027 0 0 1 0 No 3904 1 Yes 123 h4_14/22 4027 0 0 1 0 No 4024 1 Yes 3 h4_14/23 4027 0 0 1 0 No 4015 1 Yes 12 h4_14/24 4027 0 0 1 0 No 3976 1 Yes 51 h4_14/25 4027 0 0 1 0 No 3996 1 Yes 31 h4_14/26 4027 0 0 1 0 No 4022 1 Yes 5 h4_14/27 4027 0 0 1 0 No 4023 1 Yes 4 h4_14/28 4027 0 0 1 0 No 4026 1 Yes 1 h4_14/29 4027 0 0 1 0 No 3835 1 Yes 192 Specify other Income-generating entreprise: 192 0 4 00 2 Agriculture produce 1 Avsi 1 Bakery 1 Baking Pancakes 1 Baking bread 1 Bar 1 Bar business 1 Barter trade of food items gotten as to raise income to purchase some HH items 1 Black Smith 1 Boda boda Riding 1 Bread making 1 Brewing 1 Brewing Alcohol 1 Brewing alcohol 1 Brick making 1 Builder 1 Car driver. 1 Carry bags of Maize for traders 1 Casual Labor 1 Casual employment 2 Casual labor Agricultural 2 Casual labour 3 Casual work 1 Casual work agriculture 2 Cattle dealer 1 Cearal trader 1 Chapati stall 1 Children 1 Church leader 1 Cleaner 1 Clinic 1 Cobler 1 Cocoa 1 Coffee trading 1 Collect thatching grasses 1 Collection of hard core stone 1 Crop business/Trader 1 Cuts grass 1 Cuts s grass 1 Depended on relatives working in Uganda's urban towns. 1 Digging 3 Digging and translation 1 Digging trenches 1 Drinking joint 1 Dry cleaner(doby) 1 Dug fish, onions, ginut 1 Farming 6 Fish monger 2 Fish seller 1 Fishing 2 Fishing business 1 Food store keeper 1 Foodproduce 1 Formal employment 1 Grass cutter 1 Grass dealer for buildind 1 Growing crops 1 He was a fish trader but the business totally collapsed because of the daughter's sickness. 1 Her children 1 Home produce 1 Hotel 1 House girl 1 Houses for rent 1 Humanitarian Assistant Development service 1 Land Lords 1 Liquid soap 1 Local Waragi brewing 1 Local brew 1 Local brewing 2 Making local grainery 1 Manicure andPedicure 1 Metal fabrication 1 Middle Man (Food Trading) 1 Mobile money agent and money lending business 1 Music group 1 No 1 None 8 Omena, tomatoes small scale business 1 Operating a drugshop 1 Operating in a bar 1 Pastor at the church 1 Petrol dealer 1 Porter that is carries maize and beans on days of giving out food 1 Poultry keeping 1 Produce buying and selling 3 Produce dealer 1 Produce seller 2 Produce selling 1 Provide casual labor 1 Rentals 1 Renting of land 1 Rock Julius is a local singer and gets some money from singing 1 Rolex Eatout 1 Salary 1 Sale of water 1 Save the children facilitator 1 Savings 1 Security guard 1 Sell of Livestock 1 Sell of matooke 1 Sell of produce 2 Selling Pancakes 2 Selling cooking oil 1 Selling grass 1 Selling mukene 1 1 Selling of grass broom 1 Selling of green vegetables 1 Selling of pancakes 1 Selling of vegetables 1 Selling the rations to raise money 1 Selling tik trees 1 Sells brooms 1 Sells cooking oil 1 Silver fish 1 Soap Making Business 1 Stone crushing 2 Stone quarry 1 Stone quarrying 1 Stone query 1 Sugar cane and banana selling 1 Tailor 1 Tailoring 2 Teacher 1 Teaching 2 Timber logging 1 Timber seller 1 Trading Onions 1 Tree cutting 1 Vegetable model Farmer 1 Video shows 1 Washes clothes, and cleaning 1 Washing bay 2 Washing clothes for somalis 1 Water transport 2 bakery 1 drug shop 1 farming 1 general community meetings 1 local alcohol brewer 4 local beer brewer 1 local brewing 1 none 1 petty trade. 1 quarrying 1 stone query 1 stone querying 2 they have formed agroup where by when they are given food by wfp they take turns to give each other food but in turns and they can sell 1 waragi brewing 1 x 1 H4. What was the total revenue from [Petty trader (hawking, grocery, airtime)] that was realised in the past 12 months? 256 3771 24000 3666666.667 590400 609952.356 What was the total revenue from [Petty trader (hawking, grocery, airtime)] that was realised in the PAST ONE MONTH? 256 3771 0 533333.333 62026.777 80851.319 h4_16_1. To whom did you sell most of [Petty trader (hawking, grocery, airtime)]? 255 3772 1 13 1 other refugee hhs 52 2 native hhs 48 3 trader 4 4 other(specify) 74 5 2 1 23 6 2 1 3 4 7 2 3 5 8 3 32 9 3 1 1 10 3 1 2 1 11 3 2 6 12 3 2 1 2 13 4 3 Sysmiss 3772 h4_16_11. To whom did you sell most of [Hotel/food kiosk]? 255 3772 1 2 1 other refugee hhs 120 2 native hhs 135 3 trader 0 4 other(specify) 0 Sysmiss 3772 h4_16_12. To whom did you sell most of [Electronics/phone repair]? 255 3772 1 2 1 other refugee hhs 88 2 native hhs 167 3 trader 0 4 other(specify) 0 Sysmiss 3772 h4_16_13. To whom did you sell most of [Tailor/clothes repair]? 255 3772 1 2 1 other refugee hhs 200 2 native hhs 55 3 trader 0 4 other(specify) 0 Sysmiss 3772 h4_16_14. To whom did you sell most of [Salon/Barber shop]? 255 3772 1 2 1 other refugee hhs 252 2 native hhs 3 3 trader 0 4 other(specify) 0 Sysmiss 3772 Specify other: 3 0 Native People who reside on the lake 1 Other Communities 1 School canteen to students 1 What percentage of {other refugee households} did you sell to? 135 3892 2 100 68.526 27.812 What percentage of {native households} did you sell to? 167 3860 10 100 60.659 30.135 What percentage of {traders} did you sell to? 55 3972 2 100 68.055 31.305 What percentage of ${h4_16_1other} did you sell to? 3 4024 100 100 100 0 100 3 Sysmiss 4024 h4_17_1. Where did you sell most of [Petty trader (hawking, grocery, airtime)]? 255 3772 1 27 1 here 68 2 neighbour,village 5 3 closest town 4 4 trade,centers 2 5 itinerant trader 1 6 other 1 7 1 4 7 8 1 4 3 2 2 9 2 37 10 2 1 4 11 2 1 4 1 12 2 3 3 13 2 3 1 1 14 2 3 4 3 15 2 4 2 16 2 4 1 1 17 3 16 18 3 2 2 19 3 2 4 1 20 3 4 3 21 4 78 22 4 1 4 23 4 2 2 24 4 2 3 1 25 4 3 2 26 4 6 1 27 6 3 Sysmiss 3772 h4_17_11. Where did you sell most of [Hotel/food kiosk]? 255 3772 1 2 1 here 154 2 neighbour,village 101 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 h4_17_12. Where did you sell most of [Electronics/phone repair]? 255 3772 1 2 1 here 183 2 neighbour,village 72 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 h4_17_13. Where did you sell most of [Tailor/clothes repair]? 255 3772 1 2 1 here 216 2 neighbour,village 39 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 h4_17_14. Where did you sell most of [Salon/Barber shop]? 255 3772 1 2 1 here 143 2 neighbour,village 112 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 h4_17_15. Where did you sell most of [Making Bricks]? 255 3772 1 2 1 here 254 2 neighbour,village 1 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 h4_17_16. Where did you sell most of [Construction/masonry]? 255 3772 1 2 1 here 251 2 neighbour,village 4 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 3772 Specify other: 4 0 Lake side 1 Market 1 Native households 1 market 1 H4. What was the total revenue from [Butchery] that was realised in the past 12 months? 6 4021 0 10700000 4613333.333 5196886.247 What was the total revenue from [Butchery)] that was realised in the PAST ONE MONTH? 6 4021 0 925000 381666.667 446773.619 h4_16_2. To whom did you sell most of [Butchery)]? 5 4022 1 3 1 other refugee hhs 1 2 native hhs 3 3 trader 1 4 other(specify) 0 Sysmiss 4022 h4_16_21. To whom did you sell most of [Firewood dealer]? 5 4022 1 2 1 other refugee hhs 1 2 native hhs 4 3 trader 0 4 other(specify) 0 Sysmiss 4022 h4_16_22. To whom did you sell most of [Miraa/ Khat seller]? 5 4022 1 2 1 other refugee hhs 1 2 native hhs 4 3 trader 0 4 other(specify) 0 Sysmiss 4022 h4_16_23. To whom did you sell most of [Livestock trader]? 5 4022 1 1 1 other refugee hhs 5 2 native hhs 0 3 trader 0 4 other(specify) 0 Sysmiss 4022 h4_16_24. To whom did you sell most of [Crop produce sellers]? 5 4022 1 1 1 other refugee hhs 5 2 native hhs 0 3 trader 0 4 other(specify) 0 Sysmiss 4022 What percentage of {other refugee households} did you sell to? 4 4023 50 95 68.75 22.5 What percentage of {native households} did you sell to? 4 4023 20 100 55 33.166 h4_17_2. Where did you sell most of [Butchery)]? 5 4022 1 4 1 here 2 2 neighbour,village 1 3 closest town 1 4 trade,centers 1 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_21. Where did you sell most of [Firewood dealer]? 5 4022 1 2 1 here 2 2 neighbour,village 3 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_22. Where did you sell most of [Miraa/ Khat seller]? 5 4022 1 2 1 here 3 2 neighbour,village 2 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_23. Where did you sell most of [Livestock trader]? 5 4022 1 2 1 here 3 2 neighbour,village 2 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_24. Where did you sell most of [Crop produce sellers]? 5 4022 1 2 1 here 3 2 neighbour,village 2 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_25. Where did you sell most of [Fish traders]? 5 4022 1 2 1 here 4 2 neighbour,village 1 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 h4_17_26. Where did you sell most of [Livestock products processor (including honey or apicultural products and insects)]? 5 4022 1 1 1 here 5 2 neighbour,village 0 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4022 H4. What was the total revenue from [Shop] that was realised in the past 12 months? 104 3923 60000 24000000 1512605.769 2578391.161 What was the total revenue from [Shop] that was realised in the PAST ONE MONTH? 104 3923 581.667 633333.333 145379.427 158739.558 h4_16_3. To whom did you sell most of [Shop]? 102 3925 1 16 1 other refugee hhs 17 2 native hhs 20 3 trader 2 4 other(specify) 1 5 1 3 2 1 6 2 23 7 2 1 13 8 2 1 3 2 9 2 3 4 10 2 3 1 1 11 3 10 12 3 1 2 13 3 1 2 2 14 3 2 1 15 3 2 1 1 16 4 2 Sysmiss 3925 h4_16_3/1 102 3925 0 1 0 No 40 1 Yes 62 Sysmiss 3925 h4_16_3/2 102 3925 0 1 0 No 32 1 Yes 70 Sysmiss 3925 h4_16_3/3 102 3925 0 1 0 No 75 1 Yes 27 Sysmiss 3925 h4_16_3/4 102 3925 0 1 0 No 100 1 Yes 2 Sysmiss 3925 Specify other: 1 0 All people 1 What percentage of {other refugee households} did you sell to? 62 3965 5 100 61.419 30.614 What percentage of {native households} did you sell to? 70 3957 2 100 62.157 31.852 What percentage of {traders} did you sell to? 27 4000 0 100 47.148 31.262 What percentage of ${h4_16_3other} did you sell to? 2 4025 0 100 50 70.711 h4_17_3. Where did you sell most of [Shop]? 102 3925 1 20 1 here 41 2 neighbour,village 3 3 closest town 1 4 trade,centers 4 5 itinerant trader 1 6 other 1 7 1 5 1 8 2 6 9 2 1 1 10 2 4 2 11 3 1 12 3 4 5 1 13 4 29 14 4 1 2 15 4 2 2 16 4 2 1 1 17 4 3 1 18 4 3 2 1 5 1 19 4 5 1 2 20 6 1 Sysmiss 3925 h4_17_3/1 102 3925 0 1 0 No 43 1 Yes 59 Sysmiss 3925 h4_17_3/2 102 3925 0 1 0 No 83 1 Yes 19 Sysmiss 3925 h4_17_3/3 102 3925 0 1 0 No 97 1 Yes 5 Sysmiss 3925 h4_17_3/4 102 3925 0 1 0 No 54 1 Yes 48 Sysmiss 3925 h4_17_3/5 102 3925 0 1 0 No 95 1 Yes 7 Sysmiss 3925 h4_17_3/6 102 3925 0 1 0 No 101 1 Yes 1 Sysmiss 3925 Specify other: 0 4027 Sysmiss 4027 H4. What was the total revenue from [Clothing/Shoe Store] that was realised in the past 12 months? 14 4013 360000 2693333.333 1203571.429 970407.848 What was the total revenue from [Clothing/Shoe Store] that was realised in the PAST ONE MONTH? 14 4013 30000 500000 184285.714 131298.112 h4_16_4. To whom did you sell most of [Clothing/Shoe Store]? 14 4013 1 7 1 other refugee hhs 4 2 native hhs 3 3 trader 1 4 other(specify) 2 5 2 1 1 6 3 2 7 3 2 1 1 Sysmiss 4013 h4_16_4/1 14 4013 0 1 0 No 4 1 Yes 10 Sysmiss 4013 h4_16_4/2 14 4013 0 1 0 No 6 1 Yes 8 Sysmiss 4013 h4_16_4/3 14 4013 0 1 0 No 11 1 Yes 3 Sysmiss 4013 h4_16_4/4 14 4013 0 1 0 No 13 1 Yes 1 Sysmiss 4013 Specify other: 1 0 Market vendors 1 What percentage of {other refugee households} did you sell to? 10 4017 10 100 63 34.976 What percentage of {native households} did you sell to? 8 4019 40 100 67.5 27.124 What percentage of {traders} did you sell to? 3 4024 20 100 72.667 45.622 What percentage of ${h4_16_4other} did you sell to? 1 4026 50 50 50 50 1 Sysmiss 4026 h4_17_4. Where did you sell most of [Clothing/Shoe Store]? 14 4013 1 6 1 here 5 2 neighbour,village 1 3 closest town 1 4 trade,centers 5 5 itinerant trader 1 6 other 1 Sysmiss 4013 h4_17_4/1 14 4013 0 1 0 No 7 1 Yes 7 Sysmiss 4013 h4_17_4/2 14 4013 0 1 0 No 13 1 Yes 1 Sysmiss 4013 h4_17_4/3 14 4013 0 1 0 No 13 1 Yes 1 Sysmiss 4013 h4_17_4/4 14 4013 0 1 0 No 6 1 Yes 8 Sysmiss 4013 h4_17_4/5 14 4013 0 0 0 0 0 14 Sysmiss 4013 h4_17_4/6 14 4013 0 1 0 No 13 1 Yes 1 Sysmiss 4013 Specify other: 1 0 Market 1 H4. What was the total revenue from [Agricultural/Veterinary inputs Store] that was realised in the past 12 months? 39 3988 40000 5466666.667 718512.821 1410618.352 What was the total revenue from [Agricultural/Veterinary inputs Store] that was realised in the PAST ONE MONTH? 39 3988 0 520000 74730.769 111037.838 h4_16_6. To whom did you sell most of [Agricultural/Veterinary inputs Store]? 38 3989 1 7 1 other refugee hhs 7 2 native hhs 3 3 trader 11 4 other(specify) 1 5 2 3 2 6 3 12 7 3 2 2 Sysmiss 3989 h4_16_6/1 38 3989 0 1 0 No 27 1 Yes 11 Sysmiss 3989 h4_16_6/2 38 3989 0 1 0 No 19 1 Yes 19 Sysmiss 3989 h4_16_6/3 38 3989 0 1 0 No 22 1 Yes 16 Sysmiss 3989 h4_16_6/4 38 3989 0 0 0 0 0 38 Sysmiss 3989 What percentage of {other refugee households} did you sell to? 11 4016 30 100 68.636 21.69 What percentage of {native households} did you sell to? 19 4008 30 100 73.947 28.799 What percentage of {traders} did you sell to? 16 4011 1 100 69.5 37.075 h4_17_6. Where did you sell most of [Agricultural/Veterinary inputs Store]? 38 3989 1 9 1 here 1 2 neighbour,village 12 3 closest town 3 4 trade,centers 4 5 itinerant trader 3 6 other 1 7 3 3 8 4 9 9 4 2 2 Sysmiss 3989 h4_17_6/1 38 3989 0 1 0 No 34 1 Yes 4 Sysmiss 3989 h4_17_6/2 38 3989 0 1 0 No 12 1 Yes 26 Sysmiss 3989 h4_17_6/3 38 3989 0 1 0 No 28 1 Yes 10 Sysmiss 3989 h4_17_6/4 38 3989 0 1 0 No 23 1 Yes 15 Sysmiss 3989 h4_17_6/5 38 3989 0 0 0 0 0 38 Sysmiss 3989 h4_17_6/6 38 3989 0 0 0 0 0 38 Sysmiss 3989 H4. What was the total revenue from [Mill] that was realised in the past 12 months? 11 4016 180000 1110000 604181.818 330184.338 What was the total revenue from [Mill] that was realised in the PAST ONE MONTH? 11 4016 10000 150000 55272.727 40924.543 h4_16_7. To whom did you sell most of [Mill]? 11 4016 1 4 1 other refugee hhs 4 2 native hhs 2 3 trader 4 4 other(specify) 1 Sysmiss 4016 h4_16_7/1 11 4016 0 1 0 No 4 1 Yes 7 Sysmiss 4016 h4_16_7/2 11 4016 0 1 0 No 4 1 Yes 7 Sysmiss 4016 h4_16_7/3 11 4016 0 1 0 No 10 1 Yes 1 Sysmiss 4016 h4_16_7/4 11 4016 0 0 0 0 0 11 Sysmiss 4016 What percentage of {other refugee households} did you sell to? 7 4020 20 100 78.571 29.821 What percentage of {native households} did you sell to? 7 4020 5 100 65.714 37.017 What percentage of {traders} did you sell to? 1 4026 20 20 20 20 1 Sysmiss 4026 h4_17_7. Where did you sell most of [Mill]? 11 4016 1 6 1 here 4 2 neighbour,village 3 3 closest town 1 4 trade,centers 1 5 itinerant trader 1 6 other 1 Sysmiss 4016 h4_17_7/1 11 4016 0 1 0 No 2 1 Yes 9 Sysmiss 4016 h4_17_7/2 11 4016 0 1 0 No 5 1 Yes 6 Sysmiss 4016 h4_17_7/3 11 4016 0 1 0 No 10 1 Yes 1 Sysmiss 4016 h4_17_7/4 11 4016 0 1 0 No 8 1 Yes 3 Sysmiss 4016 h4_17_7/5 11 4016 0 0 0 0 0 11 Sysmiss 4016 h4_17_7/6 11 4016 0 0 0 0 0 11 Sysmiss 4016 H4. What was the total revenue from [Mechanic/tyre repair] that was realised in the past 12 months? 30 3997 30000 3600000 817000 918560.468 What was the total revenue from [Mechanic/tyre repair] that was realised in the PAST ONE MONTH? 30 3997 0 300000 69650 74981.931 h4_16_8. To whom did you sell most of [Mechanic/tyre repair]? 27 4000 1 7 1 other refugee hhs 3 2 native hhs 8 3 trader 1 4 other(specify) 10 5 2 1 3 6 2 3 1 7 3 1 Sysmiss 4000 h4_16_8/1 27 4000 0 1 0 No 12 1 Yes 15 Sysmiss 4000 h4_16_8/2 27 4000 0 1 0 No 4 1 Yes 23 Sysmiss 4000 h4_16_8/3 27 4000 0 1 0 No 24 1 Yes 3 Sysmiss 4000 h4_16_8/4 27 4000 0 0 0 0 0 27 Sysmiss 4000 What percentage of {other refugee households} did you sell to? 15 4012 2 98 53.667 24.248 What percentage of {native households} did you sell to? 23 4004 20 100 67.609 29.614 What percentage of {traders} did you sell to? 3 4024 20 100 53.333 41.633 h4_17_8. Where did you sell most of [Mechanic/tyre repair]? 27 4000 1 9 1 here 9 2 neighbour,village 1 3 closest town 1 4 trade,centers 1 5 itinerant trader 2 6 other 4 7 4 7 8 4 1 1 9 4 2 1 Sysmiss 4000 h4_17_8/1 27 4000 0 1 0 No 13 1 Yes 14 Sysmiss 4000 h4_17_8/2 27 4000 0 1 0 No 22 1 Yes 5 Sysmiss 4000 h4_17_8/3 27 4000 0 1 0 No 21 1 Yes 6 Sysmiss 4000 h4_17_8/4 27 4000 0 1 0 No 16 1 Yes 11 Sysmiss 4000 h4_17_8/5 27 4000 0 0 0 0 0 27 Sysmiss 4000 h4_17_8/6 27 4000 0 0 0 0 0 27 Sysmiss 4000 H4. What was the total revenue from [Traditional healer/traditional birth attendants (midwifry)] that was realised in the past 12 months? 1 4026 3600000 3600000 3600000 3600000 1 Sysmiss 4026 What was the total revenue from [Traditional healer/traditional birth attendants (midwifry)] that was realised in the PAST ONE MONTH? 1 4026 300000 300000 300000 300000 1 Sysmiss 4026 h4_16_9. To whom did you sell most of [Traditional healer/traditional birth attendants (midwifry)]? 1 4026 1 1 1 other refugee hhs 1 2 native hhs 0 3 trader 0 4 other(specify) 0 Sysmiss 4026 h4_16_9/1 1 4026 0 0 0 0 1 Sysmiss 4026 h4_16_9/2 1 4026 0 0 0 0 1 Sysmiss 4026 h4_16_9/3 1 4026 0 0 0 0 1 Sysmiss 4026 h4_16_9/4 1 4026 1 1 1 1 1 Sysmiss 4026 Specify other: 0 4027 Sysmiss 4027 What percentage of ${h4_16_9other} did you sell to? 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_9. Where did you sell most of [Traditional healer/traditional birth attendants (midwifry)]? 1 4026 1 1 1 here 1 2 neighbour,village 0 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4026 h4_17_9/1 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_9/2 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_9/3 1 4026 1 1 1 1 1 Sysmiss 4026 h4_17_9/4 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_9/5 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_9/6 1 4026 0 0 0 0 1 Sysmiss 4026 H4. What was the total revenue from [Bodaboda or taxi operator/transporter] that was realised in the past 12 months? 96 3931 34000 28000000 2526281.276 4833078.188 What was the total revenue from [Bodaboda or taxi operator/transporter] that was realised in the PAST ONE MONTH? 96 3931 0 2549000 211898.958 369298.643 h4_16_10. To whom did you sell most of [Bodaboda or taxi operator/transporter]? 95 3932 1 16 1 other refugee hhs 6 2 native hhs 9 3 trader 10 4 other(specify) 1 5 1 3 2 3 6 2 11 7 2 1 11 8 2 1 3 1 9 2 3 10 10 2 3 1 3 11 2 3 4 1 12 2 4 1 13 3 9 14 3 1 2 2 15 3 2 1 5 16 4 12 Sysmiss 3932 h4_16_10/1 95 3932 0 1 0 No 44 1 Yes 51 Sysmiss 3932 h4_16_10/2 95 3932 0 1 0 No 28 1 Yes 67 Sysmiss 3932 h4_16_10/3 95 3932 0 1 0 No 50 1 Yes 45 Sysmiss 3932 h4_16_10/4 95 3932 0 1 0 No 81 1 Yes 14 Sysmiss 3932 Specify other: 9 0 Any one passing 1 Clients 1 Everyone 1 Neighboring house holds and other natives of isingiro 1 None 2 Other passengers 1 Passengers 1 Transporting passangers 1 What percentage of {other refugee households} did you sell to? 51 3976 1 100 46.882 25.595 What percentage of {native households} did you sell to? 67 3960 1 100 50.015 25.331 What percentage of {traders} did you sell to? 45 3982 5 100 44.556 28.059 What percentage of ${h4_16_10other} did you sell to? 14 4013 0 100 32.857 43.576 h4_17_10. Where did you sell most of [Bodaboda or taxi operator/transporter]? 95 3932 1 27 1 here 15 2 neighbour,village 1 3 closest town 6 4 trade,centers 2 5 itinerant trader 4 6 other 1 7 1 3 2 4 1 8 1 4 2 9 2 3 10 2 1 3 11 2 1 4 2 12 2 3 2 13 2 3 4 7 14 2 3 4 5 1 15 2 4 2 16 2 4 3 1 17 3 6 18 3 4 3 19 4 17 20 4 1 2 1 21 4 2 1 22 4 2 3 1 23 4 3 1 24 4 3 2 3 25 4 3 2 1 2 26 5 3 4 2 1 1 27 6 6 Sysmiss 3932 h4_17_10/1 95 3932 0 1 0 No 54 1 Yes 41 Sysmiss 3932 h4_17_10/2 95 3932 0 1 0 No 50 1 Yes 45 Sysmiss 3932 h4_17_10/3 95 3932 0 1 0 No 57 1 Yes 38 Sysmiss 3932 h4_17_10/4 95 3932 0 1 0 No 36 1 Yes 59 Sysmiss 3932 h4_17_10/5 95 3932 0 1 0 No 91 1 Yes 4 Sysmiss 3932 h4_17_10/6 95 3932 0 1 0 No 89 1 Yes 6 Sysmiss 3932 Specify other: 2 0 Everyone 1 None 1 H4. What was the total revenue from [Hotel/food kiosk] that was realised in the past 12 months? 29 3998 20000 5086666.667 1093000 1475939.555 What was the total revenue from [Hotel/food kiosk] that was realised in the PAST ONE MONTH? 29 3998 0 1100000 163113.793 273827.106 h4_16_11/1 28 3999 0 1 0 No 14 1 Yes 14 Sysmiss 3999 h4_16_11/2 28 3999 0 1 0 No 8 1 Yes 20 Sysmiss 3999 h4_16_11/3 28 3999 0 1 0 No 20 1 Yes 8 Sysmiss 3999 h4_16_11/4 28 3999 0 1 0 No 27 1 Yes 1 Sysmiss 3999 Specify other: 1 0 Visitors 1 What percentage of {other refugee households} did you sell to? 14 4013 50 100 72.143 16.838 What percentage of {native households} did you sell to? 20 4007 10 100 56.25 31.409 What percentage of {traders} did you sell to? 8 4019 30 100 61.25 23.566 What percentage of ${h4_16_11other} did you sell to? 1 4026 40 40 40 40 1 Sysmiss 4026 h4_17_11/1 28 3999 0 1 0 No 10 1 Yes 18 Sysmiss 3999 h4_17_11/2 28 3999 0 1 0 No 24 1 Yes 4 Sysmiss 3999 h4_17_11/3 28 3999 0 1 0 No 27 1 Yes 1 Sysmiss 3999 h4_17_11/4 28 3999 0 1 0 No 13 1 Yes 15 Sysmiss 3999 h4_17_11/5 28 3999 0 0 0 0 0 28 Sysmiss 3999 h4_17_11/6 28 3999 0 0 0 0 0 28 Sysmiss 3999 H4. What was the total revenue from [Electronics/phone repair] that was realised in the past 12 months? 2 4025 360000 400000 380000 28284.271 What was the total revenue from [Electronics/phone repair] that was realised in the PAST ONE MONTH? 2 4025 20000 30000 25000 7071.068 h4_16_12/1 2 4025 1 1 1 0 1 2 Sysmiss 4025 h4_16_12/2 2 4025 0 1 0 No 1 1 Yes 1 Sysmiss 4025 h4_16_12/3 2 4025 0 0 0 0 0 2 Sysmiss 4025 h4_16_12/4 2 4025 0 0 0 0 0 2 Sysmiss 4025 What percentage of {other refugee households} did you sell to? 2 4025 50 100 75 35.355 What percentage of {native households} did you sell to? 1 4026 50 50 50 50 1 Sysmiss 4026 h4_17_12/1 2 4025 0 1 0 No 1 1 Yes 1 Sysmiss 4025 h4_17_12/2 2 4025 0 0 0 0 0 2 Sysmiss 4025 h4_17_12/3 2 4025 0 1 0 No 1 1 Yes 1 Sysmiss 4025 h4_17_12/4 2 4025 0 0 0 0 0 2 Sysmiss 4025 h4_17_12/5 2 4025 0 0 0 0 0 2 Sysmiss 4025 h4_17_12/6 2 4025 0 0 0 0 0 2 Sysmiss 4025 H4. What was the total revenue from [Tailor/clothes repair] that was realised in the past 12 months? 34 3993 60000 2400000 524882.353 506499.32 What was the total revenue from [Tailor/clothes repair] that was realised in the PAST ONE MONTH? 34 3993 6000 600000 82029.412 124640.854 h4_16_13/1 34 3993 0 1 0 No 12 1 Yes 22 Sysmiss 3993 h4_16_13/2 34 3993 0 1 0 No 10 1 Yes 24 Sysmiss 3993 h4_16_13/3 34 3993 0 1 0 No 30 1 Yes 4 Sysmiss 3993 h4_16_13/4 34 3993 0 0 0 0 0 34 Sysmiss 3993 What percentage of {other refugee households} did you sell to? 22 4005 10 100 60.909 31.001 What percentage of {native households} did you sell to? 24 4003 2 100 61.125 30.899 What percentage of {traders} did you sell to? 4 4023 5 50 25 19.579 h4_17_13/1 34 3993 0 1 0 No 16 1 Yes 18 Sysmiss 3993 h4_17_13/2 34 3993 0 1 0 No 27 1 Yes 7 Sysmiss 3993 h4_17_13/3 34 3993 0 1 0 No 29 1 Yes 5 Sysmiss 3993 h4_17_13/4 34 3993 0 1 0 No 23 1 Yes 11 Sysmiss 3993 h4_17_13/5 34 3993 0 1 0 No 33 1 Yes 1 Sysmiss 3993 h4_17_13/6 34 3993 0 0 0 0 0 34 Sysmiss 3993 H4. What was the total revenue from [Salon/Barber shop] that was realised in the past 12 months? 27 4000 40666.667 17640000 1179259.259 3325230.826 What was the total revenue from [Salon/Barber shop] that was realised in the PAST ONE MONTH? 27 4000 0 210000 63888.889 57963.516 h4_16_14/1 25 4002 0 1 0 No 11 1 Yes 14 Sysmiss 4002 h4_16_14/2 25 4002 0 1 0 No 7 1 Yes 18 Sysmiss 4002 h4_16_14/3 25 4002 0 1 0 No 22 1 Yes 3 Sysmiss 4002 h4_16_14/4 25 4002 0 1 0 No 24 1 Yes 1 Sysmiss 4002 Specify other: 1 0 All customers 1 What percentage of {other refugee households} did you sell to? 14 4013 3 100 63.071 32.719 What percentage of {native households} did you sell to? 18 4009 10 100 57.5 32.731 What percentage of {traders} did you sell to? 3 4024 1 70 28.667 36.474 What percentage of ${h4_16_14other} did you sell to? 1 4026 100 100 100 100 1 Sysmiss 4026 h4_17_14/1 25 4002 0 1 0 No 14 1 Yes 11 Sysmiss 4002 h4_17_14/2 25 4002 0 1 0 No 22 1 Yes 3 Sysmiss 4002 h4_17_14/3 25 4002 0 1 0 No 20 1 Yes 5 Sysmiss 4002 h4_17_14/4 25 4002 0 1 0 No 13 1 Yes 12 Sysmiss 4002 h4_17_14/5 25 4002 0 0 0 0 0 25 Sysmiss 4002 h4_17_14/6 25 4002 0 0 0 0 0 25 Sysmiss 4002 H4. What was the total revenue from [Making Bricks] that was realised in the past 12 months? 45 3982 0 2800000 841333.333 631563.476 What was the total revenue from [Making Bricks] that was realised in the PAST ONE MONTH? 45 3982 0 480000 116022.222 144634.726 h4_16_15. To whom did you sell most of [Making Bricks]? 43 3984 1 9 1 other refugee hhs 4 2 native hhs 5 3 trader 19 4 other(specify) 2 5 2 3 4 6 3 5 7 3 1 1 8 3 2 2 9 4 1 Sysmiss 3984 h4_16_15/1 43 3984 0 1 0 No 31 1 Yes 12 Sysmiss 3984 h4_16_15/2 43 3984 0 1 0 No 11 1 Yes 32 Sysmiss 3984 h4_16_15/3 43 3984 0 1 0 No 31 1 Yes 12 Sysmiss 3984 h4_16_15/4 43 3984 0 1 0 No 42 1 Yes 1 Sysmiss 3984 Specify other: 1 0 Constructors 1 What percentage of {other refugee households} did you sell to? 12 4015 20 100 67.917 32.923 What percentage of {native households} did you sell to? 32 3995 1 100 70.969 32.044 What percentage of {traders} did you sell to? 12 4015 1 100 52.167 35.637 What percentage of ${h4_16_15other} did you sell to? 1 4026 20 20 20 20 1 Sysmiss 4026 h4_17_15/1 43 3984 0 1 0 No 19 1 Yes 24 Sysmiss 3984 h4_17_15/2 43 3984 0 1 0 No 20 1 Yes 23 Sysmiss 3984 h4_17_15/3 43 3984 0 1 0 No 35 1 Yes 8 Sysmiss 3984 h4_17_15/4 43 3984 0 1 0 No 33 1 Yes 10 Sysmiss 3984 h4_17_15/5 43 3984 0 0 0 0 0 43 Sysmiss 3984 h4_17_15/6 43 3984 0 1 0 No 42 1 Yes 1 Sysmiss 3984 Specify other: 1 0 Native Household 1 H4. What was the total revenue from [Construction/masonry] that was realised in the past 12 months? 38 3989 70000 2900000 652236.842 786858.66 What was the total revenue from [Construction/masonry] that was realised in the PAST ONE MONTH? 38 3989 0 250000 88921.053 95827.749 h4_16_16. To whom did you sell most of [Construction/masonry]? 37 3990 1 8 1 other refugee hhs 3 2 native hhs 5 3 trader 1 4 other(specify) 1 5 2 17 6 2 1 3 7 3 4 8 4 3 Sysmiss 3990 h4_16_16/1 37 3990 0 1 0 No 24 1 Yes 13 Sysmiss 3990 h4_16_16/2 37 3990 0 1 0 No 11 1 Yes 26 Sysmiss 3990 h4_16_16/3 37 3990 0 1 0 No 31 1 Yes 6 Sysmiss 3990 h4_16_16/4 37 3990 0 1 0 No 34 1 Yes 3 Sysmiss 3990 Specify other: 2 0 NGO Projects 1 Was manson 1 What percentage of {other refugee households} did you sell to? 13 4014 5 100 53.846 30.218 What percentage of {native households} did you sell to? 26 4001 2 100 74.5 32.139 What percentage of {traders} did you sell to? 6 4021 0 100 66.667 39.833 What percentage of ${h4_16_16other} did you sell to? 3 4024 0 100 66.667 57.735 h4_17_16/1 37 3990 0 1 0 No 13 1 Yes 24 Sysmiss 3990 h4_17_16/2 37 3990 0 1 0 No 16 1 Yes 21 Sysmiss 3990 h4_17_16/3 37 3990 0 1 0 No 30 1 Yes 7 Sysmiss 3990 h4_17_16/4 37 3990 0 1 0 No 29 1 Yes 8 Sysmiss 3990 h4_17_16/5 37 3990 0 0 0 0 0 37 Sysmiss 3990 h4_17_16/6 37 3990 0 1 0 No 36 1 Yes 1 Sysmiss 3990 Specify other: 0 4027 Sysmiss 4027 H4. What was the total revenue from [Carpenter] that was realised in the past 12 months? 16 4011 25666.667 2000000 552312.5 581970.261 What was the total revenue from [Carpenter] that was realised in the PAST ONE MONTH? 16 4011 0 100000 36500 40485.388 h4_16_17. To whom did you sell most of [Carpenter]? 15 4012 1 6 1 other refugee hhs 5 2 native hhs 1 3 trader 5 4 other(specify) 2 5 2 3 1 6 3 2 1 1 Sysmiss 4012 h4_16_17/1 15 4012 0 1 0 No 6 1 Yes 9 Sysmiss 4012 h4_16_17/2 15 4012 1 1 1 0 1 15 Sysmiss 4012 h4_16_17/3 15 4012 0 1 0 No 12 1 Yes 3 Sysmiss 4012 h4_16_17/4 15 4012 0 0 0 0 0 15 Sysmiss 4012 What percentage of {other refugee households} did you sell to? 9 4018 20 70 42.778 15.635 What percentage of {native households} did you sell to? 15 4012 30 100 67.333 26.851 What percentage of {traders} did you sell to? 3 4024 25 50 35 13.229 h4_17_17. Where did you sell most of [Carpenter]? 15 4012 1 7 1 here 3 2 neighbour,village 2 3 closest town 2 4 trade,centers 1 5 itinerant trader 1 6 other 5 7 4 1 2 1 Sysmiss 4012 h4_17_17/1 15 4012 0 1 0 No 8 1 Yes 7 Sysmiss 4012 h4_17_17/2 15 4012 0 1 0 No 9 1 Yes 6 Sysmiss 4012 h4_17_17/3 15 4012 0 1 0 No 13 1 Yes 2 Sysmiss 4012 h4_17_17/4 15 4012 0 1 0 No 8 1 Yes 7 Sysmiss 4012 h4_17_17/5 15 4012 0 0 0 0 0 15 Sysmiss 4012 h4_17_17/6 15 4012 0 0 0 0 0 15 Sysmiss 4012 H4. What was the total revenue from [Crafts(basket making, weaving)] that was realised in the past 12 months? 16 4011 62000 1080000 468000 326307.081 What was the total revenue from [Crafts(basket making, weaving)] that was realised in the PAST ONE MONTH? 16 4011 6666.667 90000 36875 26588.113 h4_16_18. To whom did you sell most of [Crafts(basket making, weaving)]? 16 4011 1 10 1 other refugee hhs 1 2 native hhs 3 3 trader 1 4 other(specify) 2 5 2 1 1 6 2 3 1 7 3 4 8 3 2 1 9 3 2 1 1 10 4 1 Sysmiss 4011 h4_16_18/1 16 4011 0 1 0 No 9 1 Yes 7 Sysmiss 4011 h4_16_18/2 16 4011 0 1 0 No 6 1 Yes 10 Sysmiss 4011 h4_16_18/3 16 4011 0 1 0 No 8 1 Yes 8 Sysmiss 4011 h4_16_18/4 16 4011 0 1 0 No 15 1 Yes 1 Sysmiss 4011 Specify other: 1 0 South Sudan citizen back home 1 What percentage of {other refugee households} did you sell to? 7 4020 10 100 42.143 30.257 What percentage of {native households} did you sell to? 10 4017 20 100 60 28.382 What percentage of {traders} did you sell to? 8 4019 30 100 51.25 21.671 What percentage of ${h4_16_18other} did you sell to? 1 4026 80 80 80 80 1 Sysmiss 4026 h4_17_18. Where did you sell most of [Crafts(basket making, weaving)]? 16 4011 1 10 1 here 3 2 neighbour,village 1 3 closest town 1 4 trade,centers 1 5 itinerant trader 1 6 other 2 7 2 1 1 8 2 4 1 1 9 4 4 10 6 1 Sysmiss 4011 h4_17_18/1 16 4011 0 1 0 No 7 1 Yes 9 Sysmiss 4011 h4_17_18/2 16 4011 0 1 0 No 10 1 Yes 6 Sysmiss 4011 h4_17_18/3 16 4011 0 1 0 No 15 1 Yes 1 Sysmiss 4011 h4_17_18/4 16 4011 0 1 0 No 8 1 Yes 8 Sysmiss 4011 h4_17_18/5 16 4011 0 1 0 No 15 1 Yes 1 Sysmiss 4011 h4_17_18/6 16 4011 0 1 0 No 15 1 Yes 1 Sysmiss 4011 Specify other: 1 0 South sudan 1 H4. What was the total revenue from [Home Brewery] that was realised in the past 12 months? 205 3822 18333.333 4880000 586185.366 648625.821 What was the total revenue from [Home Brewery] that was realised in the PAST ONE MONTH? 205 3822 0 706666.667 59002.78 92935.842 h4_16_19. To whom did you sell most of [Home Brewery]? 204 3823 1 13 1 other refugee hhs 37 2 native hhs 62 3 trader 2 4 other(specify) 49 5 2 1 34 6 2 1 3 1 7 2 3 8 8 2 3 1 1 9 3 2 10 3 1 1 11 3 1 2 1 12 3 2 4 13 3 2 1 2 Sysmiss 3823 h4_16_19/1 204 3823 0 1 0 No 63 1 Yes 141 Sysmiss 3823 h4_16_19/2 204 3823 0 1 0 No 40 1 Yes 164 Sysmiss 3823 h4_16_19/3 204 3823 0 1 0 No 182 1 Yes 22 Sysmiss 3823 h4_16_19/4 204 3823 0 0 0 0 0 204 Sysmiss 3823 What percentage of {other refugee households} did you sell to? 141 3886 2 100 63.766 27.952 What percentage of {native households} did you sell to? 164 3863 2 100 61.146 28.928 What percentage of {traders} did you sell to? 22 4005 1 100 40.5 20.489 h4_17_19. Where did you sell most of [Home Brewery]? 204 3823 1 21 1 here 117 2 neighbour,village 8 3 closest town 4 4 trade,centers 1 5 itinerant trader 16 6 other 5 7 2 1 6 8 2 3 4 3 9 2 3 4 1 1 10 2 4 3 11 2 4 3 1 12 3 2 1 13 4 20 14 4 1 5 15 4 1 2 3 16 4 2 3 17 4 2 1 3 18 4 3 1 19 4 3 2 1 20 5 1 1 21 5 4 1 Sysmiss 3823 h4_17_19/1 204 3823 0 1 0 No 39 1 Yes 165 Sysmiss 3823 h4_17_19/2 204 3823 0 1 0 No 161 1 Yes 43 Sysmiss 3823 h4_17_19/3 204 3823 0 1 0 No 195 1 Yes 9 Sysmiss 3823 h4_17_19/4 204 3823 0 1 0 No 138 1 Yes 66 Sysmiss 3823 h4_17_19/5 204 3823 0 1 0 No 202 1 Yes 2 Sysmiss 3823 h4_17_19/6 204 3823 0 1 0 No 203 1 Yes 1 Sysmiss 3823 Specify other: 1 0 At food distribution points 1 H4. What was the total revenue from [Charcoal dealer] that was realised in the past 12 months? 92 3935 60000 5466666.667 761402.174 1133690.78 What was the total revenue from [Charcoal dealer] that was realised in the PAST ONE MONTH? 92 3935 0 366666.667 72908.152 92582.044 h4_16_20. To whom did you sell most of [Charcoal dealer]? 92 3935 1 15 1 other refugee hhs 12 2 native hhs 6 3 trader 1 4 other(specify) 2 5 1 3 2 1 6 2 14 7 2 1 6 8 2 3 8 9 2 3 1 1 10 2 3 4 1 11 3 28 12 3 1 3 13 3 2 4 14 3 2 1 2 15 4 3 Sysmiss 3935 h4_16_20/1 92 3935 0 1 0 No 58 1 Yes 34 Sysmiss 3935 h4_16_20/2 92 3935 0 1 0 No 48 1 Yes 44 Sysmiss 3935 h4_16_20/3 92 3935 0 1 0 No 41 1 Yes 51 Sysmiss 3935 h4_16_20/4 92 3935 0 1 0 No 88 1 Yes 4 Sysmiss 3935 Specify other: 4 0 NGO Staff 1 NGO workers 1 Other people who are neither in the host community nor refugees or traders 1 Road side sales 1 What percentage of {other refugee households} did you sell to? 34 3993 5 100 58.529 31.129 What percentage of {native households} did you sell to? 44 3983 1 100 55.932 31.697 What percentage of {traders} did you sell to? 51 3976 10 100 73.137 28.809 What percentage of ${h4_16_20other} did you sell to? 4 4023 30 100 77.5 33.04 h4_17_20. Where did you sell most of [Charcoal dealer]? 92 3935 1 13 1 here 27 2 neighbour,village 3 3 closest town 2 4 trade,centers 2 5 itinerant trader 6 6 other 4 7 2 1 4 1 8 3 1 9 4 34 10 4 1 5 11 4 2 3 12 4 3 2 1 13 5 3 Sysmiss 3935 h4_17_20/1 92 3935 0 1 0 No 48 1 Yes 44 Sysmiss 3935 h4_17_20/2 92 3935 0 1 0 No 72 1 Yes 20 Sysmiss 3935 h4_17_20/3 92 3935 0 1 0 No 88 1 Yes 4 Sysmiss 3935 h4_17_20/4 92 3935 0 1 0 No 44 1 Yes 48 Sysmiss 3935 h4_17_20/5 92 3935 0 1 0 No 89 1 Yes 3 Sysmiss 3935 h4_17_20/6 92 3935 0 0 0 0 0 92 Sysmiss 3935 H4. What was the total revenue from [Firewood dealer] that was realised in the past 12 months? 123 3904 12333.333 3000000 290829.268 405663.075 What was the total revenue from [Firewood dealer] that was realised in the PAST ONE MONTH? 123 3904 0 443333.333 39552.195 79465.358 h4_16_21/1 122 3905 0 1 0 No 47 1 Yes 75 Sysmiss 3905 h4_16_21/2 122 3905 0 1 0 No 62 1 Yes 60 Sysmiss 3905 h4_16_21/3 122 3905 0 1 0 No 84 1 Yes 38 Sysmiss 3905 h4_16_21/4 122 3905 0 1 0 No 119 1 Yes 3 Sysmiss 3905 Specify other: 3 0 CESVI NGO 1 People from other towns 1 schools 1 What percentage of {other refugee households} did you sell to? 75 3952 4 100 69.227 26.38 What percentage of {native households} did you sell to? 60 3967 1 100 55.683 28.571 What percentage of {traders} did you sell to? 38 3989 0 100 43.737 30.783 What percentage of ${h4_16_21other} did you sell to? 3 4024 50 100 80 26.458 h4_17_21/1 122 3905 0 1 0 No 66 1 Yes 56 Sysmiss 3905 h4_17_21/2 122 3905 0 1 0 No 59 1 Yes 63 Sysmiss 3905 h4_17_21/3 122 3905 0 1 0 No 102 1 Yes 20 Sysmiss 3905 h4_17_21/4 122 3905 0 1 0 No 68 1 Yes 54 Sysmiss 3905 h4_17_21/5 122 3905 0 1 0 No 120 1 Yes 2 Sysmiss 3905 h4_17_21/6 122 3905 0 0 0 0 0 122 Sysmiss 3905 H4. What was the total revenue from [Miraa/ Khat seller] that was realised in the past 12 months? 3 4024 72000 600000 340666.667 264123.708 What was the total revenue from [Miraa/ Khat seller] that was realised in the PAST ONE MONTH? 3 4024 6000 50000 25333.333 22479.62 h4_16_22/1 3 4024 0 1 0 No 1 1 Yes 2 Sysmiss 4024 h4_16_22/2 3 4024 0 1 0 No 2 1 Yes 1 Sysmiss 4024 h4_16_22/3 3 4024 0 0 0 0 0 3 Sysmiss 4024 h4_16_22/4 3 4024 0 0 0 0 0 3 Sysmiss 4024 What percentage of {other refugee households} did you sell to? 2 4025 75 100 87.5 17.678 What percentage of {native households} did you sell to? 1 4026 100 100 100 100 1 Sysmiss 4026 h4_17_22/1 3 4024 0 1 0 No 1 1 Yes 2 Sysmiss 4024 h4_17_22/2 3 4024 0 0 0 0 0 3 Sysmiss 4024 h4_17_22/3 3 4024 0 0 0 0 0 3 Sysmiss 4024 h4_17_22/4 3 4024 0 0 0 0 0 3 Sysmiss 4024 h4_17_22/5 3 4024 0 0 0 0 0 3 Sysmiss 4024 h4_17_22/6 3 4024 0 1 0 No 2 1 Yes 1 Sysmiss 4024 Specify other: 1 0 distribution centre 1 H4. What was the total revenue from [Livestock trader] that was realised in the past 12 months? 12 4015 0 4800000 1204000 1262362.336 What was the total revenue from [Livestock trader] that was realised in the PAST ONE MONTH? 12 4015 0 400000 152333.333 122081.505 h4_16_23/1 10 4017 0 1 0 No 7 1 Yes 3 Sysmiss 4017 h4_16_23/2 10 4017 0 1 0 No 5 1 Yes 5 Sysmiss 4017 h4_16_23/3 10 4017 0 1 0 No 3 1 Yes 7 Sysmiss 4017 h4_16_23/4 10 4017 0 0 0 0 0 10 Sysmiss 4017 What percentage of {other refugee households} did you sell to? 3 4024 20 70 43.333 25.166 What percentage of {native households} did you sell to? 5 4022 20 60 37 15.652 What percentage of {traders} did you sell to? 7 4020 60 100 85 17.078 h4_17_23/1 10 4017 0 1 0 No 8 1 Yes 2 Sysmiss 4017 h4_17_23/2 10 4017 0 1 0 No 9 1 Yes 1 Sysmiss 4017 h4_17_23/3 10 4017 0 1 0 No 9 1 Yes 1 Sysmiss 4017 h4_17_23/4 10 4017 0 1 0 No 3 1 Yes 7 Sysmiss 4017 h4_17_23/5 10 4017 0 0 0 0 0 10 Sysmiss 4017 h4_17_23/6 10 4017 0 1 0 No 8 1 Yes 2 Sysmiss 4017 Specify other: 2 0 In the market 1 Market 1 H4. What was the total revenue from [Crop produce sellers] that was realised in the past 12 months? 51 3976 60000 5250000 813882.353 1205243.815 What was the total revenue from [Crop produce sellers] that was realised in the PAST ONE MONTH? 51 3976 0 1035166.667 117627.451 240745.263 h4_16_24/1 50 3977 0 1 0 No 36 1 Yes 14 Sysmiss 3977 h4_16_24/2 50 3977 0 1 0 No 29 1 Yes 21 Sysmiss 3977 h4_16_24/3 50 3977 0 1 0 No 18 1 Yes 32 Sysmiss 3977 h4_16_24/4 50 3977 0 0 0 0 0 50 Sysmiss 3977 What percentage of {other refugee households} did you sell to? 14 4013 2 100 54.786 28.834 What percentage of {native households} did you sell to? 21 4006 2 100 62 33.897 What percentage of {traders} did you sell to? 32 3995 1 100 72.719 35.539 h4_17_24/1 50 3977 0 1 0 No 35 1 Yes 15 Sysmiss 3977 h4_17_24/2 50 3977 0 1 0 No 37 1 Yes 13 Sysmiss 3977 h4_17_24/3 50 3977 0 1 0 No 34 1 Yes 16 Sysmiss 3977 h4_17_24/4 50 3977 0 1 0 No 26 1 Yes 24 Sysmiss 3977 h4_17_24/5 50 3977 0 1 0 No 49 1 Yes 1 Sysmiss 3977 h4_17_24/6 50 3977 0 0 0 0 0 50 Sysmiss 3977 H4. What was the total revenue from [Fish trader] that was realised in the past 12 months? 31 3996 50000 5000000 1374129.032 1507874.289 What was the total revenue from [Fish traders] that was realised in the PAST ONE MONTH? 31 3996 10000 2150000 203483.871 383776.834 h4_16_25. To whom did you sell most of [Fish traders]? 31 3996 1 8 1 other refugee hhs 2 2 native hhs 7 3 trader 2 4 other(specify) 2 5 2 1 6 6 2 3 5 7 3 4 8 3 2 3 Sysmiss 3996 h4_16_25/1 31 3996 0 1 0 No 14 1 Yes 17 Sysmiss 3996 h4_16_25/2 31 3996 0 1 0 No 6 1 Yes 25 Sysmiss 3996 h4_16_25/3 31 3996 0 1 0 No 17 1 Yes 14 Sysmiss 3996 h4_16_25/4 31 3996 0 0 0 0 0 31 Sysmiss 3996 What percentage of {other refugee households} did you sell to? 17 4010 10 80 55.176 21.504 What percentage of {native households} did you sell to? 25 4002 20 89 44.84 17.09 What percentage of {traders} did you sell to? 14 4013 20 100 59.286 24.951 h4_17_25/1 31 3996 0 1 0 No 18 1 Yes 13 Sysmiss 3996 h4_17_25/2 31 3996 0 1 0 No 19 1 Yes 12 Sysmiss 3996 h4_17_25/3 31 3996 0 1 0 No 25 1 Yes 6 Sysmiss 3996 h4_17_25/4 31 3996 0 1 0 No 10 1 Yes 21 Sysmiss 3996 h4_17_25/5 31 3996 0 0 0 0 0 31 Sysmiss 3996 h4_17_25/6 31 3996 0 1 0 No 29 1 Yes 2 Sysmiss 3996 Specify other: 2 0 Market 2 H4. What was the total revenue from [Livestock products processor (including honey or apicultural products and insects)] that was realised in the past 12 months? 5 4022 150000 2000000 580000 794984.277 What was the total revenue from [Livestock products processor (including honey or apicultural products and insects)] that was realised in the PAST ONE MONTH? 5 4022 16680 2000000 416008 885497.231 h4_16_26. To whom did you sell most of [Livestock products processor (including honey or apicultural products and insects)]? 5 4022 1 4 1 other refugee hhs 1 2 native hhs 1 3 trader 2 4 other(specify) 1 Sysmiss 4022 h4_16_26/1 5 4022 0 1 0 No 3 1 Yes 2 Sysmiss 4022 h4_16_26/2 5 4022 0 1 0 No 2 1 Yes 3 Sysmiss 4022 h4_16_26/3 5 4022 0 1 0 No 1 1 Yes 4 Sysmiss 4022 h4_16_26/4 5 4022 0 0 0 0 0 5 Sysmiss 4022 What percentage of {other refugee households} did you sell to? 2 4025 60 70 65 7.071 60 1 70 1 Sysmiss 4025 What percentage of {native households} did you sell to? 3 4024 20 50 33.333 15.275 What percentage of {traders} did you sell to? 4 4023 20 100 47.5 37.749 h4_17_26/1 5 4022 0 1 0 No 3 1 Yes 2 Sysmiss 4022 h4_17_26/2 5 4022 0 1 0 No 1 1 Yes 4 Sysmiss 4022 h4_17_26/3 5 4022 0 1 0 No 4 1 Yes 1 Sysmiss 4022 h4_17_26/4 5 4022 0 1 0 No 2 1 Yes 3 Sysmiss 4022 h4_17_26/5 5 4022 0 0 0 0 0 5 Sysmiss 4022 h4_17_26/6 5 4022 0 0 0 0 0 5 Sysmiss 4022 H4. What was the total revenue from [Pharmacist] that was realised in the past 12 months? 4 4023 240000 3533333.333 2710000 1646666.667 What was the total revenue from [Pharmacist] that was realised in the PAST ONE MONTH? 4 4023 20000 850000 642500 415000 h4_16_27. To whom did you sell most of [Pharmacist]? 4 4023 1 4 1 other refugee hhs 1 2 native hhs 1 3 trader 1 4 other(specify) 1 Sysmiss 4023 h4_16_27/1 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 h4_16_27/2 4 4023 1 1 1 0 1 4 Sysmiss 4023 h4_16_27/3 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 h4_16_27/4 4 4023 0 0 0 0 0 4 Sysmiss 4023 What percentage of {other refugee households} did you sell to? 2 4025 40 60 50 14.142 40 1 60 1 Sysmiss 4025 What percentage of {native households} did you sell to? 4 4023 20 80 42.5 26.3 What percentage of {traders} did you sell to? 2 4025 10 20 15 7.071 10 1 20 1 Sysmiss 4025 h4_17_27. Where did you sell most of [Pharmacist]? 4 4023 1 3 1 here 2 2 neighbour,village 1 3 closest town 1 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4023 h4_17_27/1 4 4023 0 1 0 No 1 1 Yes 3 Sysmiss 4023 h4_17_27/2 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h4_17_27/3 4 4023 0 0 0 0 0 4 Sysmiss 4023 h4_17_27/4 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h4_17_27/5 4 4023 0 0 0 0 0 4 Sysmiss 4023 h4_17_27/6 4 4023 0 0 0 0 0 4 Sysmiss 4023 H4. What was the total revenue from [Community health Vets] that was realised in the past 12 months? 1 4026 350000 350000 350000 350000 1 Sysmiss 4026 What was the total revenue from [Community health vets] that was realised in the PAST ONE MONTH? 1 4026 60000 60000 60000 60000 1 Sysmiss 4026 h4_16_28. To whom did you sell most of [Community health vets]? 1 4026 1 1 1 other refugee hhs 1 2 native hhs 0 3 trader 0 4 other(specify) 0 Sysmiss 4026 h4_16_28/1 1 4026 1 1 1 1 1 Sysmiss 4026 h4_16_28/2 1 4026 1 1 1 1 1 Sysmiss 4026 h4_16_28/3 1 4026 0 0 0 0 1 Sysmiss 4026 h4_16_28/4 1 4026 0 0 0 0 1 Sysmiss 4026 What percentage of {other refugee households} did you sell to? 1 4026 25 25 25 25 1 Sysmiss 4026 What percentage of {native households} did you sell to? 1 4026 75 75 75 75 1 Sysmiss 4026 h4_17_28. Where did you sell most of [Community health vets]? 1 4026 1 1 1 here 1 2 neighbour,village 0 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4026 h4_17_28/1 1 4026 1 1 1 1 1 Sysmiss 4026 h4_17_28/2 1 4026 1 1 1 1 1 Sysmiss 4026 h4_17_28/3 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_28/4 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_28/5 1 4026 0 0 0 0 1 Sysmiss 4026 h4_17_28/6 1 4026 0 0 0 0 1 Sysmiss 4026 H4. What was the total revenue from [${h4_14other}] that was realised in the past 12 months? 192 3835 0 11080000 1199820.313 2063635.875 What was the total revenue from ${h4_14other} that was realised in the PAST ONE MONTH? 192 3835 0 1166666.667 105886.719 174789.521 h4_16_29. To whom did you sell most of ${h4_14other}? 165 3862 1 16 1 other refugee hhs 23 2 native hhs 11 3 trader 5 4 other(specify) 1 5 1 3 2 6 2 50 7 2 1 11 8 2 1 3 2 9 2 3 7 10 2 3 1 1 11 2 4 1 12 3 25 13 3 1 5 14 3 2 2 15 3 2 1 3 16 4 16 Sysmiss 3862 h4_16_29/1 165 3862 0 1 0 No 101 1 Yes 64 Sysmiss 3862 h4_16_29/2 165 3862 0 1 0 No 71 1 Yes 94 Sysmiss 3862 h4_16_29/3 165 3862 0 1 0 No 113 1 Yes 52 Sysmiss 3862 h4_16_29/4 165 3862 0 1 0 No 147 1 Yes 18 Sysmiss 3862 Specify other: 11 0 Children 1 Construction company 1 Constructors 1 Don't sell just repair clothes 1 Manufactures 1 NGO 1 NGOs 1 NGOs that support refugees 1 School in Mukono 1 She was given some support to facilitate her livelihood 1 ngo 1 What percentage of {other refugee households} did you sell to? 64 3963 5 100 67.859 28.968 What percentage of {native households} did you sell to? 94 3933 0 100 64.745 31.892 What percentage of {traders} did you sell to? 52 3975 0 100 67 30.81 What percentage of ${h4_16_29other} did you sell to? 18 4009 0 100 43.333 49.229 h4_17_29. Where did you sell most of ${h4_14other}? 165 3862 1 30 1 here 46 2 neighbour,village 4 3 closest town 1 4 trade,centers 2 5 itinerant trader 2 6 other 2 7 1 3 4 1 8 1 4 6 9 1 4 3 5 1 10 2 20 11 2 1 4 12 2 3 1 13 2 3 4 1 14 2 3 4 1 1 15 2 4 2 16 3 11 17 3 2 1 18 3 2 1 1 19 3 4 2 20 3 4 1 1 21 3 4 2 1 22 4 29 23 4 1 1 24 4 1 2 1 25 4 2 2 26 4 2 1 1 27 4 2 3 2 28 4 3 1 29 4 3 1 5 1 30 6 16 Sysmiss 3862 h4_17_29/1 165 3862 0 1 0 No 89 1 Yes 76 Sysmiss 3862 h4_17_29/2 165 3862 0 1 0 No 118 1 Yes 47 Sysmiss 3862 h4_17_29/3 165 3862 0 1 0 No 134 1 Yes 31 Sysmiss 3862 h4_17_29/4 165 3862 0 1 0 No 107 1 Yes 58 Sysmiss 3862 h4_17_29/5 165 3862 0 1 0 No 163 1 Yes 2 Sysmiss 3862 h4_17_29/6 165 3862 0 1 0 No 149 1 Yes 16 Sysmiss 3862 Specify other: 8 0 Don't sell 1 Market 3 Mukono 1 None 1 On River Nile 2 Unique HH id follow up survey 4026 1 13 4090 2038.437 1175.047 baseline tracking number uhhidp 4027 0 1000003 4003617 2051973.842 1013969.272 H5. Has your household had any of these sources of income? 4012 0 0 3947 1 18 1 2 2 2 20 3 4 4 10 5 1 6 10 Land other than agricultural land 4012 15 0 1 0 No 3992 1 Yes 20 Sysmiss 15 Apartment, house, Shops, stores, etc. 4012 15 0 1 0 No 3990 1 Yes 22 Sysmiss 15 Car, truck, tractor, cart etc 4012 15 0 1 0 No 4008 1 Yes 4 Sysmiss 15 Rent Livestock 4012 15 0 1 0 No 4002 1 Yes 10 Sysmiss 15 Sale of house 4012 15 0 1 0 No 4011 1 Yes 1 Sysmiss 15 Sale of durable goods of the household 4012 15 0 1 0 No 4002 1 Yes 10 Sysmiss 15 No other income source 4012 15 0 1 0 No 65 1 Yes 3947 Sysmiss 15 H5_1. What was the total revenue from Rental Income [Land other than agricultural land] in the LAST 12 MONTHS? 20 4007 46666.667 18000000 1472500 3976238.911 H5_2. What was the total revenue from Rental Income [Apartment, house, Shops, stores, etc.] in the LAST 12 MONTHS? 22 4005 50000 3000000 858181.818 763508.836 H5_3. What was the total revenue from Rental Income [Car, truck, tractor, cart etc] in the LAST 12 MONTHS? 4 4023 240000 21000000 5585000 10277786.727 H5_4. What is the total revenue from Rental Income [Livestock] in the LAST 12 MONTHS? 10 4017 0 1200000 441000 528634.509 H5_5. What was the total revenue from Sale of house in the LAST 12 MONTHS? 1 4026 900000 900000 900000 900000 1 Sysmiss 4026 H5_6. What was the total revenue from sale of durable goods in the LAST 12 MONTHS? 10 4017 10000 8400000 1530000 2513485.112 h7_1. To whom did you sell most of Rental Income [Land other than agricultural land]? 17 0 1 3 1 2 2 2 9 2 1 3 h7_1/1 17 4010 0 1 0 No 9 1 Yes 8 Sysmiss 4010 h7_1/2 17 4010 0 1 0 No 3 1 Yes 14 Sysmiss 4010 h7_1/3 17 4010 0 0 0 0 0 17 Sysmiss 4010 h7_1/4 17 4010 0 0 0 0 0 17 Sysmiss 4010 What percentage of {other refugee households} did you sell to? 8 4019 30 100 73.75 23.717 What percentage of {native households} did you sell to? 14 4013 20 100 74.643 35.974 h7_2. To whom did you sell most of Rental Income [Apartment, house, Shops, stores, etc.]? 22 0 1 4 2 11 2 3 1 3 2 3 2 1 4 3 h7_2/1 22 4005 0 1 0 No 18 1 Yes 4 Sysmiss 4005 h7_2/2 22 4005 0 1 0 No 9 1 Yes 13 Sysmiss 4005 h7_2/3 22 4005 0 1 0 No 18 1 Yes 4 Sysmiss 4005 h7_2/4 22 4005 0 1 0 No 19 1 Yes 3 Sysmiss 4005 Specify other: 3 0 Security guys from camp 1 Tenants 2 What percentage of {other refugee households} did you sell to? 4 4023 100 100 100 0 100 4 Sysmiss 4023 What percentage of {native households} did you sell to? 13 4014 40 100 88.462 22.303 What percentage of {traders} did you sell to? 4 4023 40 100 75 30 What percentage of ${h7_2other} did you sell to? 3 4024 20 100 66.667 41.633 h7_3. To whom did you sell most of Rental Income [Car, truck, tractor, cart etc]? 4 4023 2 4 3 0.816 2 1 3 2 4 1 Sysmiss 4023 h7_3/1 4 4023 0 0 0 0 0 4 Sysmiss 4023 h7_3/2 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h7_3/3 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 h7_3/4 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 Specify other: 1 0 Passengers 1 What percentage of {native households} did you sell to? 1 4026 100 100 100 100 1 Sysmiss 4026 What percentage of {traders} did you sell to? 2 4025 60 100 80 28.284 What percentage of ${h7_3other} did you sell to? 1 4026 100 100 100 100 1 Sysmiss 4026 h7_4. To whom did you sell most of Rental Income [Livestock]? 9 0 1 1 1 2 1 2 6 2 1 1 h7_4/1 9 4018 0 1 0 No 6 1 Yes 3 Sysmiss 4018 h7_4/2 9 4018 0 1 0 No 1 1 Yes 8 Sysmiss 4018 h7_4/3 9 4018 0 0 0 0 0 9 Sysmiss 4018 h7_4/4 9 4018 0 0 0 0 0 9 Sysmiss 4018 What percentage of {other refugee households} did you sell to? 3 4024 40 90 60 26.458 What percentage of {native households} did you sell to? 8 4019 1 100 70.125 33.935 h7_5. To whom did you sell most of Sale of house? 1 4026 2 2 2 2 1 Sysmiss 4026 h7_5/1 1 4026 0 0 0 0 1 Sysmiss 4026 h7_5/2 1 4026 1 1 1 1 1 Sysmiss 4026 h7_5/3 1 4026 0 0 0 0 1 Sysmiss 4026 h7_5/4 1 4026 0 0 0 0 1 Sysmiss 4026 What percentage of {native households} did you sell to? 1 4026 100 100 100 100 1 Sysmiss 4026 h7_6. To whom did you sell most of sale of durable goods? 10 0 1 2 1 2 1 2 2 3 5 h7_6/1 10 4017 0 1 0 No 7 1 Yes 3 Sysmiss 4017 h7_6/2 10 4017 0 1 0 No 7 1 Yes 3 Sysmiss 4017 h7_6/3 10 4017 0 1 0 No 5 1 Yes 5 Sysmiss 4017 h7_6/4 10 4017 0 0 0 0 0 10 Sysmiss 4017 What percentage of {other refugee households} did you sell to? 3 4024 30 100 76.667 40.415 What percentage of {native households} did you sell to? 3 4024 1 100 57 50.764 What percentage of {traders} did you sell to? 5 4022 0 100 76 43.359 h8_1. Where did you sell most of Rental Income [Land other than agricultural land]? 17 4010 1 4 1 here 10 2 neighbour,village 1 3 closest town 3 4 trade,centers 3 5 itinerant trader 0 6 other 0 Sysmiss 4010 h8_1/1 17 4010 0 1 0 No 3 1 Yes 14 Sysmiss 4010 h8_1/2 17 4010 0 1 0 No 10 1 Yes 7 Sysmiss 4010 h8_1/3 17 4010 0 0 0 0 0 17 Sysmiss 4010 h8_1/4 17 4010 0 0 0 0 0 17 Sysmiss 4010 h8_1/5 17 4010 0 0 0 0 0 17 Sysmiss 4010 h8_1/6 17 4010 0 0 0 0 0 17 Sysmiss 4010 h8_2. Where did you sell most of Rental Income [Apartment, house, Shops, stores, etc.]? 22 4005 1 6 1 here 10 2 neighbour,village 1 3 closest town 2 4 trade,centers 1 5 itinerant trader 4 6 other 4 Sysmiss 4005 h8_2/1 22 4005 0 1 0 No 12 1 Yes 10 Sysmiss 4005 h8_2/2 22 4005 0 1 0 No 21 1 Yes 1 Sysmiss 4005 h8_2/3 22 4005 0 1 0 No 18 1 Yes 4 Sysmiss 4005 h8_2/4 22 4005 0 1 0 No 17 1 Yes 5 Sysmiss 4005 h8_2/5 22 4005 0 0 0 0 0 22 Sysmiss 4005 h8_2/6 22 4005 0 1 0 No 18 1 Yes 4 Sysmiss 4005 Specify other: 3 0 Rental houses are within the village 1 Renting 1 personally owned 1 h8_3. Where did you sell most of Rental Income [Car, truck, tractor, cart etc]? 4 4023 1 4 1 here 1 2 neighbour,village 1 3 closest town 1 4 trade,centers 1 5 itinerant trader 0 6 other 0 Sysmiss 4023 h8_3/1 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h8_3/2 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h8_3/3 4 4023 0 0 0 0 0 4 Sysmiss 4023 h8_3/4 4 4023 0 1 0 No 2 1 Yes 2 Sysmiss 4023 h8_3/5 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 h8_3/6 4 4023 0 1 0 No 3 1 Yes 1 Sysmiss 4023 Specify other: 1 0 Passengers 1 h8_4. Where did you sell most of Rental Income [Livestock]? 9 4018 1 5 1 here 1 2 neighbour,village 3 3 closest town 2 4 trade,centers 2 5 itinerant trader 1 6 other 0 Sysmiss 4018 h8_4/1 9 4018 0 1 0 No 3 1 Yes 6 Sysmiss 4018 h8_4/2 9 4018 0 1 0 No 2 1 Yes 7 Sysmiss 4018 h8_4/3 9 4018 0 0 0 0 0 9 Sysmiss 4018 h8_4/4 9 4018 0 0 0 0 0 9 Sysmiss 4018 h8_4/5 9 4018 0 0 0 0 0 9 Sysmiss 4018 h8_4/6 9 4018 0 1 0 No 8 1 Yes 1 Sysmiss 4018 Specify other: 1 0 Native households 1 h8_5. Where did you sell most of Sale of house? 1 4026 1 1 1 here 1 2 neighbour,village 0 3 closest town 0 4 trade,centers 0 5 itinerant trader 0 6 other 0 Sysmiss 4026 h8_5/1 1 4026 1 1 1 1 1 Sysmiss 4026 h8_5/2 1 4026 0 0 0 0 1 Sysmiss 4026 h8_5/3 1 4026 0 0 0 0 1 Sysmiss 4026 h8_5/4 1 4026 0 0 0 0 1 Sysmiss 4026 h8_5/5 1 4026 0 0 0 0 1 Sysmiss 4026 h8_5/6 1 4026 0 0 0 0 1 Sysmiss 4026 h8_6. Where did you sell most of sale of durable goods? 10 4017 1 5 1 here 4 2 neighbour,village 2 3 closest town 1 4 trade,centers 2 5 itinerant trader 1 6 other 0 Sysmiss 4017 h8_6/1 10 4017 0 1 0 No 6 1 Yes 4 Sysmiss 4017 h8_6/2 10 4017 0 1 0 No 8 1 Yes 2 Sysmiss 4017 h8_6/3 10 4017 0 1 0 No 9 1 Yes 1 Sysmiss 4017 h8_6/4 10 4017 0 1 0 No 8 1 Yes 2 Sysmiss 4017 h8_6/5 10 4017 0 1 0 No 9 1 Yes 1 Sysmiss 4017 h8_6/6 10 4017 0 0 0 0 0 10 Sysmiss 4017