Comprehensive Food Security and Vulnerability and Nutrition Analysis Survey 2018 DDI_RWA_2018_CSFVA_v01_M National Institute of Statistics of Rwanda 2020-06-11 Metadata Editor Version 2 (August 2020) Edited version based on the original version (RWA-NISR-CFSVA-2018-v01) that was produced by the National Institute of Statistics of Rwanda. RWA_2018_CFSVA_v01_M Comprehensive Food Security and Vulnerability Analysis 2018 CFSVA 2018 National Institute of Statistics of Rwanda

Ministry of Local Government (MINALOC)

Ministry of Health (MoH)

National Early Childhood Development Programme (NECDP)

 Ministry of agriculture and Animal Resources United Nations World Food Programme © 2018, World Food Programme, Vulnerability Analysis and Mapping (VAM) Goverment of Rwanda European Union USAID UNICEF WFP Metadata Editor National Institute of Statistics of Rwanda Living Standards Measurement Study [hh/lsms] The 2018 CFSVA marks the fifth time that this type of survey has been conducted in Rwanda. The previous analyses took place in 2006, 2009, 2012, and 2015 under the overall leadership of the National Institute of Statistics Rwanda. The results of this CFSVA highlight the continuing positive trends from previous studies, namely that since 2006, Rwanda has taken great strides in reducing poverty and malnutrition in the country. Version 0.1 Edited, Anonymized dataset for public use Version 0.1 Edited, Anonymized dataset for public use Rwanda National coverage The units of analysis are household and community level. Household members Sample survey data [ssd] National Institute of Statistics of Rwanda World Food Program Ministry of Agriculture and Annimal Resource Face-to-face [f2f] Data was downloaded directly from the tablet to an access database and exported to SPSS for analysis. Data cleaning consisted of examining frequency distributions for all variables in order to detect those values which are not logical or possible. Each participating household, child, and woman had a unique identification number made up of the cluster number and household number and, for individuals, an individual number. For some variables, specifically anthropometric z-scores, standard criteria were applied to delete z-scores which were judged to be impossible and most likely due to error in measurement. National Institute of Statistics of Rwanda National Institute of Statistics of Rwanda National Institute of Statistics of Rwanda (NISR), Comprehensive Food Security and Vulnerability Analysis 2018, December 2018 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. 1_CFSVA18_DB_HouseholdQues_Full_Annex_201904_NISR.dta 9709 342 .dta Comprehensive Food Security and Vulnerability Analysis 2018 household data 2_CFSVA18_DB_ChildAndMother_Full_Annex_201904_NISR.dta 6736 219 .dta Comprehensive Food Security and Vulnerability Analysis 2018 child and mother data 3_CFSVA18_DB_VillageQues_Full_Annex_201904_NISR.dta 987 163 .dta Comprehensive Food Security and Vulnerability Analysis 2018 village data Village N HHs 9709 51 2041 Village Sample Size 9709 10 10 10 9709 District weight 9709 175.401192267352 30934.2981384139 Final Weight 9709 17.5401192267352 3093.42981384139 HH unique ID 9709 -------------- Annex layers -------------------- 9709 9709 Rwanda 9709 1 1 1 Rwanda 9709 Urban rural status 9709 1 2 1 Urban 1568 2 Rural 8141 Province 9709 1 5 1 Kigali city 976 2 Southern province 2586 3 Western province 2266 4 Northern province 1626 5 Eastern province 2255 District 9709 101 507 101 Nyarugenge 323 102 Gasabo 328 103 Kicukiro 325 201 Nyanza 321 202 Gisagara 330 203 Nyaruguru 325 204 Huye 327 205 Nyamagabe 325 206 Ruhango 321 207 Muhanga 319 208 Kamonyi 318 301 Karongi 327 302 Rutsiro 329 303 Rubavu 319 304 Nyabihu 327 305 Ngororero 327 306 Rusizi 324 307 Nyamasheke 313 401 Rulindo 323 402 Gakenke 327 403 Musanze 329 404 Burera 323 405 Gicumbi 324 501 Rwamagana 320 502 Nyagatare 315 503 Gatsibo 329 504 Kayonza 317 505 Kirehe 327 506 Ngoma 330 507 Bugesera 317 Livelihood zones 9709 0 12 0 Kigali city 876 1 Lake Kivu Coffee Zone 973 2 West Congo-Nile Crest Tea Zone 583 3 Northwest Volcanic Irish Potato Zone 817 4 East Congo-Nile Highland Subsistence Farming Zone 1399 5 Central Plateau Cassava and Coffee Zone 1833 6 Northern Highland Beans and Wheat Zone 306 7 Central-Northern Highland Irish Potato, Beans and Vegetable Zone 606 8 Bugesera Cassava Zone 407 9 Eastern Plateau Mixed Agriculture Zone 471 10 Southeastern Plateau Banana Zone 898 11 Eastern Agropastoral Zone 351 12 Eastern Semi-Arid Agropastoral Zone 189 Household ubudehe category 9709 0 88 0 [0] Don't know 149 1 [1] Category one 1661 2 [2] Category two 3497 3 [3] Category three 4312 4 [4] Category four 17 88 [88] Not assigned yet 73 Household wealth index 8357 1352 1 5 1 Poorest 1685 2 Poor 2028 3 Medium 2106 4 Wealthy 1054 5 Wealthiest 1484 Sysmiss 1352 Household food security situation 9709 1 4 1 Food secure 4065 2 Marginally food secure 3764 3 Moderately food insecure 1709 4 Severely food insecure 171 -------------- Head of HH Demography -------------------- 9709 9709 Household head's gender 9709 1 2 1 Male 7116 2 Female 2593 Household head's age 9709 18 114 Household head's age (category) 9709 2 4 2 18-39 years old 3568 3 40-60 years old 4122 4 >60 years old 2019 Household head's literacy level 9709 0 2 0 No 3131 1 Yes (both read and write) 6239 2 Yes (read only) 339 Household head's education level 9709 1 88 1 No school 2700 2 Some/still primary 3098 3 Completed primary 2468 4 Vocational school 210 5 Some/still secondary 528 6 Completed secondary 324 7 Some/still university 49 8 Completed university 169 88 Don't know 163 Household head's disability status 9709 0 1 0 No disability 9000 1 Disabled 709 Household head's marital status 9709 1 6 1 Married 5185 2 Partner 1717 3 Divorced 155 4 Separated 275 5 Widow/Widower 1948 6 Never married (single) 429 Household head's spouses 6761 2948 1 68 1 6475 2 264 3 18 4 1 10 1 20 1 68 1 Sysmiss 2948 Household head's spouses (Category) 9709 0 2 0 0 2948 1 1 6475 2 2 or more 286 Household head's income contribute to the household living basket 9334 375 0 1 0 No 102 1 Yes 9232 Sysmiss 375 Household head's currently a member of an association or cooperative 9709 0 1 0 No 7019 1 Yes 2690 Household head holds a leadership role in a cooperative 2690 7019 0 1 0 No 2109 1 Yes 581 Sysmiss 7019 Household head holds a leadership role in the community 9709 0 1 0 No 8739 1 Yes 970 -------------- HH members Demography -------------------- 9709 9709 Household size 9709 1 22 1 427 2 862 3 1416 4 1899 5 1786 6 1422 7 933 8 535 9 229 10 126 11 52 12 11 13 6 14 2 15 1 18 1 22 1 Household size (category) 9709 1 5 1 1 member 427 2 2-4 members 4177 3 5-7 members 4141 4 8-10 members 890 5 >10 members 74 Household member (Children under 5 years) 9709 0 7 0 1677 1 5654 2 1622 3 577 4 134 5 29 6 15 7 1 Household members (women 15-49 years) 9709 0 4 0 4641 1 3526 2 1418 3 120 4 4 Household house's floor structure 9709 1 7 1 Earth/Mud 6914 2 Cement concrete 2452 3 Hardened Dung 75 4 Clay tiles 143 5 Wood 4 6 Bricks 94 7 Other 27 Household house's wall structure 9709 1 6 1 Mud bricks 2912 2 Mud bricks covered with cement 3307 3 Tree trunks with mud 2353 4 tree trunks with mud and cement 678 5 Oven fired bricks and or Cement made bricks 365 6 Other 94 Household house occupancy status 9709 1 3 1 Owner 8657 2 Rented 665 3 Free of charge (not owner) 387 Household house's sleeping rooms 9709 0 10 0 23 1 1702 2 4333 3 2862 4 606 5 141 6 27 7 10 8 4 10 1 -------------- HH Hygiene, water and energy -------------------- 9709 9709 Household's toilet facility 9709 1 6 1 Flush latrine 200 2 Pit latrine (floor, walls and roof) 6537 3 Pit latrine (floor, walls without roof) 2029 4 Pit latrine (floor, without walls and roof) 499 5 Pit latrine (no floor, walls or roof 153 6 None (bush, stream or neighbours) 291 Household's toilet facility alternative (not owned) 291 9418 1 3 1 Borrow from neighbors, 274 2 Public latrines in the village, 2 3 Bush or stream or other inappropriate places 15 Sysmiss 9418 Household's toilet facility is shared 9418 291 0 1 0 No 8357 1 Yes 1061 Sysmiss 291 Household's main source of lighting 9709 0 8 0 No lighting 97 1 Electricity 2602 2 Kerosene, oil or gas lamp 137 3 Lantern 396 4 Battery flashlights 4056 5 Candles 494 6 Firewood 506 7 Solar energy 1183 8 Others, 238 Household's most used cooking fuel 9021 688 1 8 1 Gas 31 2 Electricity 16 3 Firewood 7875 4 Charcoal 957 5 Kerosene 0 6 Bio-gas 4 7 Crop waste/animal dung 116 8 Other 22 Sysmiss 688 What fuel do you use most often for cooking? (Firewood ) 9709 0 1 0 No 1301 1 Yes 8408 What fuel do you use most often for cooking? ( Charcoal) 9709 0 1 0 No 8188 1 Yes 1521 What fuel do you use most often for cooking? (Gas ) 9709 0 1 0 No 9506 1 Yes 203 What fuel do you use most often for cooking? (Crop waste/animal dung) 9709 0 1 0 No 9507 1 Yes 202 What fuel do you use most often for cooking? (Electricity) 9709 0 1 0 No 9680 1 Yes 29 What fuel do you use most often for cooking? (Kerosene) 9709 0 1 0 No 9708 1 Yes 1 What fuel do you use most often for cooking? (Bio-gas) 9709 0 1 0 No 9693 1 Yes 16 Household's current main source of water 9709 1 9 1 Public tap/ piped water 2643 2 Water tap at home 1047 3 Pond, lake, river or stream 1160 4 Borehole with pump 3740 5 Rain water 81 6 Protected dug well or spring 176 7 Unprotected well or spring 753 8 Vendor 60 9 Other 49 Household pays for water from the current main source 9709 0 1 0 No 6120 1 Yes 3589 Household members' main transport mean to and from the main water source 8581 1128 1 5 1 Walk 8327 2 Bicycle 159 3 Motorbike/vehicle 0 4 Hire someone for that 90 5 Other 5 Sysmiss 1128 Distance from household to main source of water (minutes) 9709 0 602 0 1139 1 85 2 331 3 432 4 71 5 1601 6 52 7 76 8 69 9 1 10 1533 12 18 13 1 15 1026 16 2 17 3 18 2 20 864 22 2 23 1 25 132 30 1245 35 49 40 257 45 56 50 63 55 1 56 1 60 465 65 2 70 8 80 6 90 48 100 2 120 55 125 2 150 1 160 1 180 5 602 1 Household has an alternative source of water 9709 0 1 0 No, this is the only source we use 5649 1 Yes, we do have another source 4060 Household's main alternative source of water 4060 5649 1 9 1 Public tap/ piped water 645 2 Water tap at home 35 3 Pond, lake, river or stream 469 4 Borehole with pump 668 5 Rain water 1888 6 Protected dug well or spring 50 7 Unprotected well or spring 195 8 Vendor 61 9 Other 49 Sysmiss 5649 Household pays for water from the main alternative source 4060 5649 0 1 0 No 3255 1 Yes 805 Sysmiss 5649 Household members' main transport mean to and from the alternative source of wat 2137 7572 1 5 1 Walk 2052 2 Bicycle 66 3 Motorbike/vehicle 1 4 Hire someone for that 17 5 Other 1 Sysmiss 7572 Distance from household to main alternative source of water (minutes) 2137 7572 0 401 0 4 1 23 2 63 3 105 4 21 5 338 6 8 7 16 8 20 10 279 12 3 13 1 14 1 15 214 18 3 19 1 20 219 22 1 25 38 30 344 31 1 32 1 35 13 40 90 45 34 50 15 55 2 60 211 70 1 75 2 80 4 90 27 120 23 150 2 180 5 240 3 401 1 Sysmiss 7572 Household's main drinking water purification method 9709 1 7 1 Boil 3625 2 Strained through cloth 14 3 Ceramic, sand or other filter 199 4 Purifying tablets/bleach chlorine 181 5 Sedimentation 45 6 Nothing is done 5530 7 We buy treated water 115 Average household's water use per day (in liters) 9709 0 2500 -------------- Livelihood activities and income -------------------- 9709 9709 Household last month Income (in Rwf) 9709 0 3000000 Household livelihood activities 9709 1 3 1 Only one activity 2687 2 Two activities 4109 3 Three acivites or more 2913 Household livelihood group 9709 1 10 1 Low-income agriculturalists 3271 2 Agro-pastoralists 1715 3 Agricultural daily labour 1581 4 Unskilled daily labour 576 5 Skilled labour 252 6 Trade/petty trade 476 7 Salaried work/own business 577 8 External support/transfers/begging 222 9 Artisanal work/other 283 10 Medium/high income agriculturalists 756 Household wealth index 8357 1352 1 5 1 Poorest 1685 2 Poor 2028 3 Medium 2106 4 Wealthy 1054 5 Wealthiest 1484 Sysmiss 1352 -------------- Land and assets and animals ownership -------------------- 9709 9709 Household owns farming land including pastures for livestock 9709 0 1 0 No 2588 1 Yes 7121 Size of household owned land 9709 0 7 0 2588 1 2136 2 1850 3 1534 4 992 5 461 6 130 7 50,000sqm and above (5 ha and above) 18 Household practices share cropping on owned land 7121 2588 0 1 0 No 6404 1 Yes 717 Sysmiss 2588 Part of household's land is under land consolidation programme 7121 2588 0 1 0 No 5619 1 Yes 1502 Sysmiss 2588 Household's owned faming land is protected against soil erosion 7121 2588 0 1 0 No 2296 1 Yes 4825 Sysmiss 2588 Is any portion of the land that your household owns irrigated? 7121 2588 0 1 0 No 6493 1 Yes 628 Sysmiss 2588 Household practices agriculture as a livelihood No agricultural practice 9709 0 1 0 Agri practice 7751 1 No agri practice 1958 Household has a vegetable plot /garden 9709 0 1 0 No 3354 1 Yes 6355 Household currently grows some food in that vegetable garden 6355 3354 0 1 0 No 620 1 Yes 5735 Sysmiss 3354 Is the food that you usually grow in that garden mainly used for household consu 6355 3354 1 3 1 HH Consumption 6184 2 Income generating 16 3 Both (consumption and income) 155 Sysmiss 3354 Which of the following items does your houeshold own? (Hoe ) 9709 0 1 0 No 834 1 Yes 8875 Which of the following items does your houeshold own? (Shovel) 9709 0 1 0 No 6857 1 Yes 2852 Which of the following items does your houeshold own? (Rake) 9709 0 1 0 No 8248 1 Yes 1461 Which of the following items does your houeshold own? (Spade) 9709 0 1 0 No 9545 1 Yes 164 Which of the following items does your houeshold own? (Pick) 9709 0 1 0 No 8679 1 Yes 1030 Which of the following items does your houeshold own? (Wheel barrow) 9709 0 1 0 No 9405 1 Yes 304 Which of the following items does your houeshold own? (Plough/Ox Plough ) 9709 0 1 0 No 9681 1 Yes 28 Which of the following items does your houeshold own? (Grinding Mill ) 9709 0 1 0 No 9691 1 Yes 18 Which of the following items does your houeshold own? (Oil press ) 9709 0 1 0 No 9704 1 Yes 5 Which of the following items does your houeshold own? (Sewing machine) 9709 0 1 0 No 9494 1 Yes 215 Which of the following items does your houeshold own? (Ironing machine ) 9709 0 1 0 No 8101 1 Yes 1608 Which of the following items does your houeshold own? (Radio (only)) 9709 0 1 0 No 5689 1 Yes 4020 Which of the following items does your houeshold own? (Tape/CD player ) 9709 0 1 0 No 8889 1 Yes 820 Which of the following items does your houeshold own? (Tv) 9709 0 1 0 No 8585 1 Yes 1124 Which of the following items does your houeshold own? (Fridge) 9709 0 1 0 No 9453 1 Yes 256 Which of the following items does your houeshold own? (Cooker (gas or electrical 9709 0 1 0 No 9462 1 Yes 247 Which of the following items does your houeshold own? (Mobile phone ) 9709 0 1 0 No 3576 1 Yes 6133 Which of the following items does your houeshold own? (Living room suite (chairs 9709 0 1 0 No 5775 1 Yes 3934 Which of the following items does your houeshold own? (Bed) 9709 0 1 0 No 3183 1 Yes 6526 Which of the following items does your houeshold own? (Bicycle ) 9709 0 1 0 No 8215 1 Yes 1494 Which of the following items does your houeshold own? (Motorized Vehicle of any 9709 0 1 0 No 9404 1 Yes 305 Which of the following items does your houeshold own? (Fishing boat / canoe ) 9709 0 1 0 No 9698 1 Yes 11 -------------- Head counts of HH owned animals -------------------- 9709 9709 Household owns or manages (Cattle) 9709 0 1 0 No 5697 1 Yes 4012 How many Cattle is your household currently rearing? 4012 5697 1 102 1 2694 2 994 3 160 4 65 5 25 6 19 7 8 8 7 9 6 10 10 12 5 14 1 15 7 18 2 20 5 30 1 40 1 41 1 102 1 Sysmiss 5697 How many of these [number] cattle does your household manage for others? 4012 5697 0 10 0 2412 1 1354 2 210 3 21 4 10 5 2 6 1 7 1 10 1 Sysmiss 5697 Household owns or manages (Goats) 9709 0 1 0 No 6753 1 Yes 2956 How many Goats is your household currently rearing? 2956 6753 1 60 1 1038 2 857 3 532 4 241 5 125 6 65 7 28 8 22 9 12 10 14 11 1 12 3 13 2 14 3 15 2 16 1 17 1 18 3 19 1 20 3 23 1 60 1 Sysmiss 6753 How many of these [number] goats does your household manage for others? 2956 6753 0 10 0 1696 1 626 2 411 3 147 4 40 5 21 6 5 7 5 8 3 9 1 10 1 Sysmiss 6753 Household owns or manages (Chicken) 9709 0 1 0 No 8063 1 Yes 1646 How many Chicken is your household currently rearing? 1646 8063 1 400 1 435 2 427 3 237 4 149 5 133 6 59 7 32 8 41 9 24 10 37 11 7 12 11 13 9 14 3 15 10 16 3 17 7 20 9 22 2 30 2 36 1 40 2 70 1 100 1 130 1 150 1 200 1 400 1 Sysmiss 8063 How many of these [number] chicken does your household manage for others? 1646 8063 0 100 0 1438 1 93 2 53 3 20 4 11 5 7 6 6 7 3 8 3 9 2 10 3 12 2 16 1 20 2 65 1 100 1 Sysmiss 8063 Household owns or manages (Pigs) 9709 0 1 0 No 8313 1 Yes 1396 How many Pigs is your household currently rearing? 1396 8313 1 60 1 1052 2 231 3 62 4 14 5 13 6 4 7 2 8 4 9 2 10 3 11 1 12 1 14 2 16 2 30 1 50 1 60 1 Sysmiss 8313 How many of these [number] pigs does your household manage for others? 1396 8313 0 10 0 908 1 420 2 49 3 13 4 4 6 1 10 1 Sysmiss 8313 Household owns or manages (Sheep) 9709 0 1 0 No 9009 1 Yes 700 How many Sheep is your household currently rearing? 700 9009 1 10 1 318 2 196 3 104 4 45 5 21 6 8 7 4 8 2 9 1 10 1 Sysmiss 9009 How many of these [number] sheep does your household manage for others? 700 9009 0 5 0 482 1 133 2 61 3 12 4 5 5 7 Sysmiss 9009 Household owns or manages (Rabbits) 9709 0 1 0 No 9263 1 Yes 446 How many Rabbits is your household currently rearing? 446 9263 1 50 1 100 2 116 3 65 4 55 5 30 6 20 7 14 8 10 9 5 10 11 11 4 12 5 14 2 15 2 16 1 17 1 20 3 30 1 50 1 Sysmiss 9263 How many of these [number] rabbits does your household manage for others? 446 9263 0 17 0 396 1 17 2 17 3 2 4 2 6 2 7 2 9 1 10 5 12 1 17 1 Sysmiss 9263 Household owns or manages (Ducks and other poultry) 9709 0 1 0 No 9652 1 Yes 57 How many Ducks and other poultry is your household currently rearing? 57 9652 1 50 1 13 2 13 3 17 4 1 5 6 6 2 8 1 10 1 11 1 15 1 50 1 Sysmiss 9652 How many of these [number] ducks and other poultry your household manage for oth 57 9652 0 50 0 46 1 4 2 2 3 1 5 1 10 1 11 1 50 1 Sysmiss 9652 -------------- Animal use, services and cost -------------------- 9709 * Sysmiss 9709 Last month, household consumed products from the owned or managed animals (meat, 6346 3363 0 1 0 No 4914 1 Yes 1432 88 Don't know 0 Sysmiss 3363 Last month, household sold products from owned or managed animals? 6346 3363 0 88 0 No 5454 1 Yes 889 88 Don't know 3 Sysmiss 3363 During the last 12 months, which animal health services did your household use? 5220 4489 0 5 0 None 2912 1 Traitment of diseases 1257 2 Vaccination 959 3 Artificial insemination 68 4 Heat synchronization and induction in cattle 19 5 Pregnancy detection 5 Sysmiss 4489 Last 12 months, household acquired animals services (Traitment of diseases) 9709 -1 1 -1 3363 0 No 4052 1 Yes 2294 Last 12 months, household acquired animals services (Vaccination) 9709 -1 1 -1 3363 0 No 4314 1 Yes 2032 Last 12 months, household acquired animals services (Artificial insemination) 9709 -1 1 -1 3363 0 No 6099 1 Yes 247 Last 12 months, household acquired animals services (Heat synchronization and i 9709 -1 1 -1 3363 0 No 6221 1 Yes 125 Last 12 months, household acquired animals services (Pregnancy detection ) 9709 -1 1 -1 3363 0 No 6271 1 Yes 75 Last 12 months, household paid for animals services (Traitment of diseases) 9709 -1 1 -1 6275 0 No 1194 1 Yes 2240 Last 12 months, household paid for animals services (Vaccination) 9709 -1 1 -1 6275 0 No 1712 1 Yes 1722 Last 12 months, household paid for animals services (Artificial insemination) 9709 -1 1 -1 6275 0 No 3208 1 Yes 226 Last 12 months, household paid for animals services (Heat synchronization and in 9709 -1 1 -1 6275 0 No 3322 1 Yes 112 Last 12 months, household paid for animals services (Pregnancy detection ) 9709 -1 1 -1 6275 0 No 3383 1 Yes 51 Did your household have to pay to get these services? 2487 7222 0 5 0 None 187 1 Traitment of diseases 1366 2 Vaccination 838 3 Artificial insemination 69 4 Heat synchronization and induction in cattle 22 5 Pregnancy detection 5 Sysmiss 7222 How easy was it for your household to access these animal health services? 3434 6275 1 3 1 Very easy 1120 2 Easy 1729 3 Not easy 585 Sysmiss 6275 -------------- HH agriculture activities -------------------- 9709 9709 1st main commodity 7621 2088 11 65 11 Wheat 29 12 Maize 1141 13 Sorghum 125 14 Rice 98 15 Other cereals 1 20 Orange fleshed Sweet potatoes 49 21 White fleshed sweet potatoes 973 22 Irish potato 546 23 Cassava 390 24 Taro 19 25 Yam 0 26 Banana cooking 131 27 Other roots and tubers specify:_ 7 31 Tomato 20 32 Cabbage 11 33 Other vegetables 27 41 Banana (wine) 184 42 Banana fruit 22 43 Passion fruit 1 44 Pineapple 4 45 Other fruit specify:______ 5 50 Iron fortified beans 32 51 Beans 3594 52 Peas 8 53 Soya 36 54 Ground nuts 23 55 Other pulses, specify:_____ 0 61 Tea 21 62 Coffee 111 63 Tobacco 1 64 Sugar cane 8 65 Other cash crops specify:___ 4 Sysmiss 2088 Did your household grow [1st commodity] during the season of 2018A? 7586 2123 0 1 0 No 728 1 Yes 6858 Sysmiss 2123 How did you acquire seeds for [commodity name]? 6858 2851 1 6 1 Purchase 3514 2 Exchange with farmers 99 3 Gift from relatives/family 545 4 Reserved from previous harvest 2507 5 received from NGOs, govt… 99 6 Other 94 Sysmiss 2851 What was or will be the expected harvest for [commodity name] during season 2018 6858 2851 0 1500000 What % of your production for this crop did you or plan to directly consume in 6804 2905 0 100 How long, did or will the stock for this [commodity name] kept for home consumpt 6655 3054 0 100 0 159 1 639 2 1481 3 1811 4 1015 5 685 6 512 7 115 8 77 9 33 10 39 11 7 12 59 15 1 20 1 25 1 30 4 40 2 45 1 48 1 50 1 55 1 60 1 70 1 77 1 80 1 95 2 100 4 Sysmiss 3054 What % of your production for this crop did you or plan to sell? 6804 2905 0 100 To whom did you or plan to sell the majority of this [commodity name] to? 3048 6661 1 8 1 Purchaser in the field 397 2 Trader in the village market 651 3 Trader in the sector market 1002 4 Trader in the district market 234 5 Individual consumer, family and relatives 412 6 Cooperative 272 7 International trader 7 8 Other 73 Sysmiss 6661 What is the distance in hours to reach the point of sale for the main buyer (One 2651 7058 0 1200 0 214 1 23 2 35 3 44 4 9 5 216 6 7 7 11 8 3 10 286 12 6 15 193 17 1 20 200 25 35 28 1 30 358 35 14 40 108 45 52 50 36 55 2 60 407 65 1 70 5 75 4 80 7 85 1 90 113 100 3 105 2 120 187 130 1 150 20 160 1 180 38 220 1 240 3 300 2 1200 1 Sysmiss 7058 What % of your production for this crop did you or plan to keep as seed for next 6804 2905 0 100 What % of your production for this cop did you or plan to use for other purposes 6804 2905 0 100 0 6657 1 2 2 5 3 3 4 2 5 28 6 1 7 1 9 1 10 68 13 1 15 3 20 13 25 1 30 10 32 1 40 4 50 2 100 1 Sysmiss 2905 What % of your production for this crop did you or plan to give away? (friend 6804 2905 0 69 0 5121 1 26 2 71 3 51 4 21 5 398 6 25 7 18 8 22 9 4 10 617 11 3 12 10 13 6 14 6 15 72 16 5 17 9 18 3 19 1 20 208 22 2 23 1 24 1 25 22 26 1 27 1 30 48 33 3 35 3 40 13 45 1 47 1 50 8 68 1 69 1 Sysmiss 2905 What % of your production for this crop is lost/became spoiled, as to have no va 6804 2905 0 100 0 6336 1 17 2 49 3 12 4 11 5 93 6 3 7 4 8 8 9 3 10 138 13 1 15 12 18 1 20 45 22 1 25 1 30 19 35 1 38 1 40 3 42 1 45 2 50 17 60 5 70 4 75 1 80 7 90 3 100 5 Sysmiss 2905 Did your household use any chemical fertilizer and/or insecticides for this [cro 6858 2851 0 88 0 No 4765 1 Yes Fertilizer only 1021 2 Yes pesticides only 210 3 Yes both 857 88 Don't know 5 Sysmiss 2851 How did you acquire these the fetilizer that you used on [commodity name] duri 1878 7831 1 5 1 Purchase 1558 2 Exchange with farmers 17 3 Gift from relatives/family 46 4 received from NGOs, govt… 78 5 Other 179 Sysmiss 7831 How did you acquire the pestcides that you used on [commodity name] during seas 1067 8642 1 5 1 Purchase 985 2 Exchange with farmers 3 3 Gift from relatives/family 6 4 received from NGOs, govt… 61 5 Other 12 Sysmiss 8642 2nd main commodity 7383 2326 11 65 11 Wheat 73 12 Maize 1598 13 Sorghum 312 14 Rice 44 15 Other cereals 0 20 Orange fleshed Sweet potatoes 61 21 White fleshed sweet potatoes 1300 22 Irish potato 262 23 Cassava 582 24 Taro 45 25 Yam 0 26 Banana cooking 152 27 Other roots and tubers specify:_ 9 31 Tomato 21 32 Cabbage 13 33 Other vegetables 53 41 Banana (wine) 94 42 Banana fruit 36 43 Passion fruit 0 44 Pineapple 2 45 Other fruit specify:______ 7 50 Iron fortified beans 26 51 Beans 2397 52 Peas 37 53 Soya 93 54 Ground nuts 64 55 Other pulses, specify:_____ 0 61 Tea 5 62 Coffee 52 63 Tobacco 1 64 Sugar cane 5 65 Other cash crops specify:___ 39 Sysmiss 2326 Did your household grow [2nd commodity] during the season of 2018A? 7180 2529 0 1 0 No 1262 1 Yes 5918 Sysmiss 2529 How did you acquire seeds for [commodity name]? 5918 3791 1 6 1 Purchase 2728 2 Exchange with farmers 77 3 Gift from relatives/family 628 4 Reserved from previous harvest 2331 5 received from NGOs, govt… 76 6 Other 78 Sysmiss 3791 What was or will be the expected harvest for [commodity name] during season 2018 5918 3791 0 300000 What % of your production for this crop did you or plan to directly consume in 5821 3888 0 100 How long, did or will the stock for this [commodity name] kept for home consumpt 5701 4008 0 200 0 202 1 682 2 1293 3 1445 4 804 5 575 6 403 7 98 8 58 9 32 10 23 11 2 12 58 15 1 20 1 24 1 30 3 50 3 60 1 70 1 80 1 90 2 92 1 97 1 100 8 115 1 200 1 Sysmiss 4008 What % of your production for this crop did you or plan to sell? 5821 3888 0 100 To whom did you or plan to sell the majority of this [commodity name] to? 2163 7546 1 8 1 Purchaser in the field 308 2 Trader in the village market 485 3 Trader in the sector market 799 4 Trader in the district market 169 5 Individual consumer, family and relatives 263 6 Cooperative 93 7 International trader 3 8 Other 43 Sysmiss 7546 What is the distance in hours to reach the point of sale for the main buyer (One 1855 7854 0 300 0 133 1 20 2 26 3 23 4 4 5 136 6 1 7 6 8 1 10 193 12 3 15 145 20 170 25 28 27 1 28 1 30 257 35 10 40 74 45 39 48 1 50 30 60 286 70 3 75 1 80 4 90 82 100 2 120 124 130 1 140 1 150 12 180 34 240 2 300 1 Sysmiss 7854 What % of your production for this crop did you or plan to keep as seed for next 5821 3888 0 100 0 3825 1 7 2 27 3 17 4 7 5 256 6 13 7 11 8 26 9 4 10 687 12 8 13 8 14 5 15 126 16 7 17 11 18 5 19 2 20 474 21 2 22 3 23 3 24 3 25 60 28 1 29 1 30 124 33 4 35 4 37 2 38 1 40 38 43 1 45 3 50 29 55 1 60 4 70 2 80 2 85 1 90 1 100 5 Sysmiss 3888 What % of your production for this cop did you or plan to use for other purposes 5821 3888 0 80 0 5687 1 2 2 6 5 36 10 47 15 7 20 24 25 2 30 3 40 1 50 1 60 1 70 2 80 2 Sysmiss 3888 What % of your production for this crop did you or plan to give away? (friend 5821 3888 0 60 0 4539 1 17 2 58 3 25 4 10 5 286 6 10 7 13 8 21 9 3 10 434 11 4 12 8 13 3 14 9 15 59 16 2 17 3 18 3 19 2 20 194 22 2 23 1 24 2 25 23 26 1 27 2 29 1 30 49 32 1 35 2 38 1 40 18 42 1 45 1 50 9 55 1 60 3 Sysmiss 3888 What % of your production for this crop is lost/became spoiled, as to have no va 5821 3888 0 100 0 5509 1 8 2 20 3 11 4 4 5 60 6 3 7 2 8 1 9 1 10 103 13 2 15 10 16 2 18 1 20 33 25 2 30 10 35 1 40 5 45 1 50 5 60 5 70 6 80 8 85 1 90 1 95 1 100 5 Sysmiss 3888 Did your household use any chemical fertilizer and/or insecticides for this [cro 5918 3791 0 88 0 No 4387 1 Yes Fertilizer only 830 2 Yes pesticides only 177 3 Yes both 522 88 Don't know 2 Sysmiss 3791 How did you acquire these the fetilizer that you used on [commodity name] duri 1352 8357 1 5 1 Purchase 1087 2 Exchange with farmers 7 3 Gift from relatives/family 37 4 received from NGOs, govt… 56 5 Other 165 Sysmiss 8357 How did you acquire the pestcides that you used on [commodity name] during seas 699 9010 1 5 1 Purchase 650 2 Exchange with farmers 2 3 Gift from relatives/family 3 4 received from NGOs, govt… 35 5 Other 9 Sysmiss 9010 3rd main commodity 6168 3541 11 65 11 Wheat 66 12 Maize 1234 13 Sorghum 477 14 Rice 45 15 Other cereals 1 20 Orange fleshed Sweet potatoes 55 21 White fleshed sweet potatoes 1093 22 Irish potato 303 23 Cassava 767 24 Taro 127 25 Yam 3 26 Banana cooking 274 27 Other roots and tubers specify:_ 6 31 Tomato 25 32 Cabbage 51 33 Other vegetables 145 41 Banana (wine) 160 42 Banana fruit 46 43 Passion fruit 2 44 Pineapple 3 45 Other fruit specify:______ 10 50 Iron fortified beans 12 51 Beans 776 52 Peas 80 53 Soya 184 54 Ground nuts 118 55 Other pulses, specify:_____ 4 61 Tea 7 62 Coffee 77 63 Tobacco 0 64 Sugar cane 4 65 Other cash crops specify:___ 13 Sysmiss 3541 Did your household grow [3rd Commodity] during the season of 2018A? 6406 3303 0 1 0 No 1582 1 Yes 4824 Sysmiss 3303 How did you acquire seeds for [commodity name]? 4824 4885 1 6 1 Purchase 2090 2 Exchange with farmers 70 3 Gift from relatives/family 679 4 Reserved from previous harvest 1846 5 received from NGOs, govt… 60 6 Other 79 Sysmiss 4885 What was or will be the expected harvest for [commodity name] during season 2018 4824 4885 0 1500000 What % of your production for this crop did you or plan to directly consume in 4698 5011 0 100 How long, did or will the stock for this [commodity name] kept for home consumpt 4567 5142 0 100 0 207 1 674 2 1115 3 1125 4 586 5 364 6 277 7 73 8 43 9 10 10 19 11 2 12 52 20 1 30 1 45 1 50 3 80 2 90 1 100 11 Sysmiss 5142 What % of your production for this crop did you or plan to sell? 4698 5011 0 100 To whom did you or plan to sell the majority of this [commodity name] to? 1678 8031 1 8 1 Purchaser in the field 239 2 Trader in the village market 388 3 Trader in the sector market 625 4 Trader in the district market 134 5 Individual consumer, family and relatives 176 6 Cooperative 73 7 International trader 0 8 Other 43 Sysmiss 8031 What is the distance in hours to reach the point of sale for the main buyer (One 1439 8270 0 240 0 79 1 10 2 22 3 14 4 2 5 124 6 5 7 2 8 3 10 156 12 3 15 111 20 117 25 27 26 1 30 203 35 9 38 1 40 60 45 22 50 19 60 234 70 3 75 1 80 6 90 68 95 1 100 1 120 103 130 2 150 13 180 15 240 2 Sysmiss 8270 What % of your production for this crop did you or plan to keep as seed for next 4698 5011 0 100 0 3429 1 14 2 19 3 13 4 4 5 189 6 6 7 11 8 8 9 3 10 478 11 1 12 4 13 1 14 1 15 83 16 1 17 5 18 3 20 259 21 1 24 1 25 23 26 1 28 1 30 69 33 6 35 3 40 23 50 20 55 1 60 2 70 4 80 1 85 1 100 9 Sysmiss 5011 What % of your production for this cop did you or plan to use for other purposes 4698 5011 0 95 0 4606 2 1 3 3 5 15 8 1 10 44 15 4 20 15 30 2 40 2 50 1 65 1 70 1 80 1 95 1 Sysmiss 5011 What % of your production for this crop did you or plan to give away? (friend 4698 5011 0 90 0 3725 1 15 2 30 3 18 4 12 5 207 6 4 7 5 8 13 9 3 10 361 11 2 12 3 13 4 14 2 15 48 16 5 17 2 19 1 20 137 21 1 22 1 23 2 25 16 27 1 29 1 30 47 31 1 33 2 35 1 40 9 42 1 49 1 50 13 55 1 70 2 90 1 Sysmiss 5011 What % of your production for this crop is lost/became spoiled, as to have no va 4698 5011 0 100 0 4440 1 8 2 15 3 5 4 4 5 45 6 1 7 2 8 2 10 107 15 8 20 14 25 1 30 11 40 4 45 1 50 9 55 1 60 7 70 2 75 1 80 5 90 3 99 1 100 1 Sysmiss 5011 Did your household use any chemical fertilizer and/or insecticides for this [cro 4824 4885 0 3 0 No 3644 1 Yes Fertilizer only 611 2 Yes pesticides only 143 3 Yes both 426 88 Don't know 0 Sysmiss 4885 How did you acquire these the fetilizer that you used on [commodity name] duri 1037 8672 1 5 1 Purchase 839 2 Exchange with farmers 10 3 Gift from relatives/family 30 4 received from NGOs, govt… 34 5 Other 124 Sysmiss 8672 How did you acquire the pestcides that you used on [commodity name] during seas 569 9140 1 5 1 Purchase 532 2 Exchange with farmers 1 3 Gift from relatives/family 3 4 received from NGOs, govt… 26 5 Other 7 Sysmiss 9140 -------------- HH agriculture land access type -------------------- 9709 9709 Season 2018A land access (owned) 7528 2181 0 100 Season 2018A land access (rented/leased in cash or shared cropping) 7528 2181 0 100 0 4674 1 3 2 5 3 2 5 19 7 1 9 1 10 105 11 2 14 1 15 22 18 2 20 333 22 1 23 1 25 42 26 1 27 2 29 1 30 319 33 1 35 25 38 1 40 249 45 9 46 1 48 1 50 272 52 1 55 20 57 3 58 1 60 457 65 11 67 2 70 203 75 19 76 1 79 1 80 134 84 1 85 10 86 1 90 58 94 1 95 10 99 1 100 497 Sysmiss 2181 Season 2018A land access (other or free access) 7528 2181 0 100 0 6895 2 2 3 1 5 7 10 89 14 1 15 11 17 1 18 1 20 116 22 1 25 6 30 57 35 2 40 49 45 5 50 48 55 1 56 1 60 41 64 1 65 4 70 21 75 1 80 14 85 1 88 1 90 4 95 3 99 1 100 142 Sysmiss 2181 Has your household had access to agriculture advisor services in the period of s 7528 2181 0 88 0 No 4152 1 Yes 3346 88 Don't know 30 Sysmiss 2181 Has your household received weather and climate information services during the 7528 2181 0 88 0 No 5477 1 Yes 1995 88 Don't know 56 Sysmiss 2181 What storage facility does your household use to store your production? 7621 2088 0 9 0 Never store 1222 1 In traditional granaries 17 2 Indoors – in basket/bags 6064 3 Indoors – open storage 161 4 Outside – open storage 13 5 In certified warehouses for which you received a receipt specifying the quality 64 6 In other warehouses/stores 25 7 Metallic home silos 2 8 Plastic home silos 5 9 Other 48 Sysmiss 2088 -------------- HH loan access and use -------------------- 9709 9709 Did you or any household member request for a loan in the last 12 months ? 9709 0 88 0 No 7710 1 Yes 1974 88 Don't know 25 Where did you requested the most recent loan? 1974 7735 1 7 1 Micro-finance Institution (Credit d’Epargne/NGO/Sacco) 434 2 Bank 345 3 Tontine / Cooperative (Community loan) 866 4 VUP financial service 48 5 Village Saving and Loaning 191 6 Informal lender 17 7 Other 73 Sysmiss 7735 Were you given the loan you requested? 1974 7735 0 1 0 No 35 1 Yes 1939 Sysmiss 7735 Why were you not given the loan you requested? 35 9674 1 3 1 Bad credit 8 2 Not enough collateral 6 3 Other reasons 21 Sysmiss 9674 What was the main use of the largest loan taken in the in the last 12 months ? 1753 7956 1 13 1 Education 224 2 Agricultural and livestock activities (crop/livestock production, post-harvest p 464 3 Food purchases 161 4 Construction other than house 16 5 Health emergency 120 6 Business investment 262 7 Bride price / Wedding and parties 26 8 Land purchase 68 9 Funeral 6 10 House purchase or construction 145 11 Medicines for chronically ill family member 20 12 Home improvement 54 13 Other 187 Sysmiss 7956 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1391 1 Yes 548 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1648 1 Yes 291 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1652 1 Yes 287 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1687 1 Yes 252 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1775 1 Yes 164 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1796 1 Yes 143 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1855 1 Yes 84 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1875 1 Yes 64 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1907 1 Yes 32 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1917 1 Yes 22 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1910 1 Yes 29 What was the main use of the largest loan taken in the in the last 12 months ? 9709 -1 1 -1 7770 0 No 1930 1 Yes 9 -------------- HH use of loan in agriculture -------------------- 9709 9709 What % of loan was spent in buying inputs ( seeds, chemicals, irrigation and ve 548 9161 0 100 0 92 3 1 5 2 10 8 14 1 15 1 20 22 25 2 30 20 35 1 40 12 45 3 50 22 60 14 70 18 75 1 80 37 90 8 95 2 100 281 Sysmiss 9161 what % of loan was spent in buying or preparing farming or pasture land and anim 548 9161 0 100 0 413 10 3 20 8 25 1 30 4 40 7 45 1 50 20 60 9 65 1 70 5 75 1 80 15 85 1 90 3 100 56 Sysmiss 9161 What % of loan was used on post-harvet and production handling and processing? 548 9161 0 100 0 378 5 4 10 19 15 1 17 1 20 42 30 22 40 11 50 13 55 2 60 5 70 7 75 1 80 6 85 1 86 1 90 1 100 33 Sysmiss 9161 -------------- HH food and non-food expenditures and poverty status ------------ 9709 9709 Household monthly food expenditures 9709 0 634300 Household monthly non-food expenditures 9709 0 10565333.3333333 Household total monthly expenditures 9709 0 10758833.3333333 Share of household food expenditure 9698 11 0 1 Share of household food expenditure (category) 9696 13 1 4 1 5453 2 50-64% 1902 3 65-74% 1035 4 >75% 1306 Sysmiss 13 Share of household non-food expenditure 9698 11 0 1 Annual household expenditures 9709 0 129106000 Annual per capita expenditures 9709 0 11736909.0909091 Household's poverty status 9709 0 2 0 no poverty 2496 1 poverty 1194 2 Extreme poverty 6019 -------------- HH food consumption and sources -------------------- 9709 9709 Yesterday, how many times did the male adults in this household eat? 8296 1413 -2 77 -2 1 0 232 1 3174 2 3964 3 913 4 10 5 1 77 1 Sysmiss 1413 Yesterday, how many times did the female adults in this household eat? 9447 262 0 77 0 52 1 3201 2 4858 3 1311 4 15 5 5 6 2 11 1 23 1 77 1 Sysmiss 262 Is this usual for adults at this time of year? 9709 0 2 0 It's usual 7828 1 No, it's more than usual 686 2 No, it's less than usual 1195 5902 3807 0 6 0 117 1 870 2 2891 3 1769 4 217 5 34 6 4 Sysmiss 3807 5965 3744 0 77 0 105 1 798 2 2950 3 1835 4 230 5 40 6 2 7 1 9 1 18 1 20 1 77 1 Sysmiss 3744 Is this usual for your children at this time of year? 7883 1826 0 2 0 It's usual 6759 1 No, it's more than usual 470 2 No, it's less than usual 654 Sysmiss 1826 Number of days HH consumed Tubers, Roots and Cereals (last week) 9709 0 7 0 42 1 67 2 4 3 208 4 432 5 439 6 468 7 8049 Number of days HH consumed Pulses and Legumes (last week) 9709 0 7 0 240 1 219 2 427 3 857 4 860 5 641 6 516 7 5949 Number of days HH consumed Diary products (last week) 9709 0 7 0 7081 1 401 2 519 3 429 4 153 5 85 6 27 7 1014 Number of days HH consumed Animal proteins (last week) 9709 0 7 0 7689 1 825 2 615 3 288 4 111 5 60 6 20 7 101 Number of days HH consumed Vegetables (last week) 9709 0 7 0 585 1 274 3 988 4 1465 5 1004 6 728 7 4665 Number of days HH consumed Fruits (last week) 9709 0 7 0 6270 1 808 2 1028 3 724 4 231 5 142 6 37 7 469 Number of days HH consumed Oils (last week) 9709 0 7 0 1503 1 415 2 1122 3 1414 4 840 5 492 6 206 7 3717 Number of days HH consumed Sugars (last week) 9709 0 7 0 4533 1 432 2 820 3 927 4 423 5 258 6 95 7 2221 Household Food Consumption Score 9709 0 112 Household Food Consumption Group 9709 1 3 1 Poor Consumption 372 2 Borderline Consumption 2006 3 Acceptable Consumption 7331 Household's consumption of Vitamin A rich foods 9709 1 3 1 Never consumed 475 2 Consumed sometimes 3927 3 Consumed at least daily 5307 Household's consumption of Protein rich foods 9709 1 3 1 Never consumed 200 2 Consumed sometimes 2902 3 Consumed at least daily 6607 Household's consumption of Iron rich foods 9709 1 3 1 Never consumed 7798 2 Consumed sometimes 1793 3 Consumed at least daily 118 Household dietary diversity score 9709 0 7 0 1 1 21 2 256 3 1247 4 3583 5 2436 6 1388 7 777 Household dietary diversity score (groups) 9709 1 3 1 Low diet diversity 5108 2 Medium diet diversity 3824 3 Good diet diversity 777 Household daily dietary diversity (group) 9709 1 2 1 1234 2 4 food groups or more 8475 Household food security situation 9709 1 4 1 Food secure 4065 2 Marginally food secure 3764 3 Moderately food insecure 1709 4 Severely food insecure 171 Household food security situation (season) 9081 628 0 3 0 Food secure 2893 1 Chronically food insecure 464 2 Seasonaly food insecure 3666 3 Acutely food insecure 2058 88 Do not know 0 Sysmiss 628 Food from Own production (crops, animal)  9709 0 100 Food from Fishing /Hunting 9709 0 41.1764705882353 0 9676 3.03030303030303 1 4.16666666666667 1 4.44444444444444 1 5.55555555555556 1 9.09090909090909 1 11.7647058823529 1 12.5 1 12.7272727272727 1 13.7931034482759 1 14.8936170212766 1 15 1 15.625 1 15.9090909090909 1 16 2 16.6666666666667 1 17.1428571428571 1 17.9487179487179 1 18.1818181818182 2 19.2307692307692 1 21.4285714285714 1 21.7391304347826 1 22.5806451612903 3 22.7272727272727 1 24 1 26.6666666666667 1 26.9230769230769 1 28 1 29.1666666666667 1 41.1764705882353 1 Food from Loan (borrowing) 9709 0 63.6363636363636 0 9649 2.56410256410256 1 2.77777777777778 1 3.44827586206897 1 4.54545454545455 1 5.26315789473684 1 6.06060606060606 1 6.12244897959184 1 6.45161290322581 1 8.16326530612245 1 8.69565217391304 1 8.82352941176471 2 9.09090909090909 3 10 1 10.3448275862069 2 10.5263157894737 1 12.0689655172414 1 12.7272727272727 1 13.0434782608696 1 13.6363636363636 1 14.2857142857143 1 15.2173913043478 1 15.9090909090909 1 16.2790697674419 1 16.3265306122449 1 17.5 1 17.6470588235294 1 17.9487179487179 1 18.1818181818182 2 18.9189189189189 1 20 2 20.8333333333333 1 21.875 1 22.2222222222222 1 23.3333333333333 1 25 1 25.9259259259259 2 26.9230769230769 2 28.5714285714286 1 29.1666666666667 4 29.4117647058824 1 30.4347826086957 1 33.3333333333333 2 36.1111111111111 1 37.5 1 38.8888888888889 2 41.6666666666667 1 63.6363636363636 1 Food from Market (purchase with cash) 9709 0 100 Food from Market (purchase on credit) 9709 0 88.2352941176471 Food from Begging 9709 0 100 0 9655 3.44827586206897 1 4 1 5.88235294117647 1 6.81818181818182 1 6.97674418604651 1 7.14285714285714 1 8 1 9.09090909090909 1 10.5263157894737 1 11.5384615384615 1 11.864406779661 1 12.5 2 13.0434782608696 1 14.2857142857143 1 14.5833333333333 1 14.8936170212766 1 15 1 15.3846153846154 2 15.5555555555556 1 16.6666666666667 3 17.1428571428571 1 17.8571428571429 1 18.1818181818182 1 18.4210526315789 1 19.047619047619 1 19.2307692307692 1 19.4444444444444 2 20 2 20.5882352941176 1 20.8333333333333 1 21.875 2 22.2222222222222 1 25 1 26.0869565217391 1 26.6666666666667 1 30.4347826086957 1 31.8181818181818 2 33.3333333333333 3 37.5 1 38.8888888888889 1 50 1 58.8235294117647 1 100 2 Food from Exchange labor or items for food 9709 0 100 Food from Gift (food) from family relatives or friends 9709 0 100 Food from aid (civil society, NGOs, government, WFP) 9709 0 88.4615384615385 0 9657 3.03030303030303 1 4.8780487804878 1 5.40540540540541 1 5.88235294117647 1 7.69230769230769 1 8.69565217391304 1 8.82352941176471 1 10.2564102564103 2 10.6060606060606 1 10.6382978723404 1 10.8108108108108 1 11.7647058823529 1 12.5 3 12.8205128205128 1 14.2857142857143 1 14.8148148148148 1 15.5555555555556 1 15.7894736842105 1 15.9090909090909 2 16.6666666666667 4 17.0731707317073 1 17.1428571428571 1 17.2413793103448 1 18.4210526315789 2 19.047619047619 1 19.4444444444444 2 20 2 22.2222222222222 1 23.3333333333333 1 24.1379310344828 2 25 2 29.1666666666667 1 39.1304347826087 1 41.6666666666667 1 45.4545454545455 1 46.6666666666667 2 55.1724137931034 1 56 1 88.4615384615385 1 -------------- HH food access issues during last 7 days -------------------- 9709 9709 In the last 7 days, have there been times when your household did not have enoug 9709 0 1 0 No 5404 1 Yes 4305 What caused the food shortage that you earlier mentioned? 4305 5404 1 8 1 Low production from last season 1123 2 Lack of agricultural production markets 50 3 Loss/reduction of employment of members of the household 1605 4 Reduction of income of household members 506 5 High market prices for non-food items 203 6 Unusually high food prices 47 7 Insecurity/unrest/Violence 31 8 Others 740 Sysmiss 5404 What was the main cause of reduced or insufficient production? 1123 8586 1 7 1 Drought/irregular rains, prolonged dry spell 608 2 Floods 9 3 Landslides and Mudslides 33 4 123 5 Unusually high level of livestock diseases 2 6 Hailstones (grele) 48 7 Other, specify 300 Sysmiss 8586 What was the main cause of loss or reduction of household's labour or income gen 1605 8104 1 7 1 Serious illness or accident of household member 195 2 Death of the Head of the household 13 3 Death a working household member 8 4 Death of other household member 12 5 Theft of productive resources 19 6 Loss or reduced employment/Income for a household member 517 7 Other, specify 841 Sysmiss 8104 What do you think can be done to alleviate food access problems? 4305 5404 1 9 1 Subsidized agricurtural inputs 544 2 Creation of HH's income generating activities 2596 3 Support in market access and linkages 41 4 Support in irrigation systems 84 5 Support in errosion control systems 21 6 Support to vulnerables affected by shocks 555 7 Support in health insurance 68 8 Support in family planning 2 9 Other 394 Sysmiss 5404 -------------- HH coping strategies -------------------- 9709 9709 In the past 7 days, how many days has your household had to Rely On Less Prefer 9709 0 7 0 4560 1 522 2 1317 3 1284 4 555 5 304 6 57 7 1110 In the past 7 days, how many days has your household had to Borrow Food, Or Rel 9709 0 7 0 7412 1 671 2 822 3 450 4 139 5 62 6 11 7 142 In the past 7 days, how many days has your household had to Limit Portion Size 9709 0 7 0 4919 1 372 2 1093 3 1149 4 572 5 286 6 52 7 1266 In the past 7 days, how many days has your household had to Restrict Consumptio 9709 0 7 0 7453 1 396 2 722 3 545 4 178 5 103 6 11 7 301 In the past 7 days, how many days has your household had to Reduce Number Of Me 9709 0 7 0 6402 1 412 2 740 3 708 4 274 5 183 6 41 7 949 Reduced coping strategies index 9709 0 56 -------------- HH livelihood coping strategies -------------------- 9709 9709 Last 30 days, household was engaged in stress coping strategies 9709 0 2 0 5634 2 4075 Last 30 days, household was engaged in crisis coping strategies 9709 0 3 0 6799 3 2910 Last 30 days, household was engaged in emergency coping strategies 9709 0 4 0 9222 4 487 Household's summary of asset depletion 9709 1 4 1 HH not adopting coping strategies 4584 2 Stress coping strategies 1953 3 Crisis coping strategies 2685 4 Emergencies coping strategies 487 -------------- HH reported shocks -------------------- 9709 9709 In the last 12 months were there any specific months in which your household fou 9709 0 88 0 No 2893 1 Yes 6783 88 Don't know 33 If yes, in which months did your household found it does not have enough food or 9709 Was this situation usual for your household at that time of the year? 6783 2926 0 2 0 It's usual 4130 1 No, it's better than usual 221 2 No, it's worse/less than usual 2432 Sysmiss 2926 Household faced challenging shocks during the last 12 months 9709 0 88 0 No 5806 1 Yes 3887 88 Don't know 16 -------------- HH reported shocks -------------------- 9709 9709 Which one of these shocks did your household consider the 1st most servere? 3887 5822 1 20 1 Drought/irregular rains, prolonged dry spell 1582 2 Floods 118 3 Landslides and Mudslides 138 4 189 5 Unusually high level of livestock diseases 17 6 Unusually high level of human disease/EPIDEMIC 28 7 Unusually high prices for food 49 8 Unusually high cost of agric. inputs (seed, fertilizer, etc.) 6 9 Loss or reduced employment/Income for a household member 330 10 Fires 1 11 Serious illness or accident of household member 788 12 Death of the Head of the household 48 13 Death a working household member 34 14 Death of other household member 71 15 Theft of productive resources 40 16 Insecurity/violence 41 17 hailstones (grele) 218 18 earthquake 4 19 Volcanic activity 0 20 Other, specify 185 Sysmiss 5822 Has [shock name] caused a reduction or loss of income (in nature or in cash)? 3887 5822 0 1 0 No 83 1 Yes 3804 Sysmiss 5822 Did [Shock name] create a decrease or loss of assets or belongings? 3887 5822 0 1 0 No 613 1 Yes 3274 Sysmiss 5822 Has the household recovered from those losses? 3887 5822 1 3 1 not at all 988 2 partially 2329 3 fully 570 Sysmiss 5822 Which one of these shocks did your household consider the 2nd most servere? 708 9001 1 20 1 Drought/irregular rains, prolonged dry spell 137 2 Floods 21 3 Landslides and Mudslides 31 4 144 5 Unusually high level of livestock diseases 5 6 Unusually high level of human disease/EPIDEMIC 12 7 Unusually high prices for food 41 8 Unusually high cost of agric. inputs (seed, fertilizer, etc.) 8 9 Loss or reduced employment/Income for a household member 67 10 Fires 0 11 Serious illness or accident of household member 117 12 Death of the Head of the household 3 13 Death a working household member 3 14 Death of other household member 16 15 Theft of productive resources 9 16 Insecurity/violence 9 17 hailstones (grele) 49 18 earthquake 0 19 Volcanic activity 0 20 Other, specify 36 Sysmiss 9001 Has [shock name] caused a reduction or loss of income (in nature or in cash)? 708 9001 0 1 0 No 19 1 Yes 689 Sysmiss 9001 Did [Shock name] create a decrease or loss of assets or belongings? 708 9001 0 1 0 No 93 1 Yes 615 Sysmiss 9001 Has the household recovered from those losses? 708 9001 1 3 1 not at all 220 2 partially 391 3 fully 97 Sysmiss 9001 Which one of these shocks did your household consider the 3rd most servere? 110 9599 1 20 1 Drought/irregular rains, prolonged dry spell 15 2 Floods 5 3 Landslides and Mudslides 7 4 14 5 Unusually high level of livestock diseases 0 6 Unusually high level of human disease/EPIDEMIC 3 7 Unusually high prices for food 10 8 Unusually high cost of agric. inputs (seed, fertilizer, etc.) 4 9 Loss or reduced employment/Income for a household member 17 10 Fires 0 11 Serious illness or accident of household member 8 12 Death of the Head of the household 0 13 Death a working household member 0 14 Death of other household member 2 15 Theft of productive resources 1 16 Insecurity/violence 1 17 hailstones (grele) 8 18 earthquake 1 19 Volcanic activity 0 20 Other, specify 14 Sysmiss 9599 Has [shock name] caused a reduction or loss of income (in nature or in cash)? 110 9599 0 1 0 No 6 1 Yes 104 Sysmiss 9599 Did [Shock name] create a decrease or loss of assets or belongings? 110 9599 0 1 0 No 14 1 Yes 96 Sysmiss 9599 Has the household recovered from those losses? 110 9599 1 3 1 not at all 39 2 partially 49 3 fully 22 Sysmiss 9599 -------------- HH assistance -------------------- 9709 9709 Household ubudehe category 9709 0 88 0 [0] Don't know 149 1 [1] Category one 1661 2 [2] Category two 3497 3 [3] Category three 4312 4 [4] Category four 17 88 [88] Not assigned yet 73 Last 12 months, at least one household member received a type of assistance 9709 0 1 0 No 7190 1 Yes 2519 Last 12 month, at least one household member benefited from in-kind FOOD assista 9709 0 88 0 No 9017 1 Yes 689 88 Don't know 3 What type of FOOD assistance was provided? (Food for school children (eaten at s 689 9020 0 1 0 No 660 1 Yes 29 Sysmiss 9020 What type of FOOD assistance was provided? (Food for pregnant and breastfeeding 689 9020 0 1 0 No 585 1 Yes 104 Sysmiss 9020 What type of FOOD assistance was provided? (Food for work) 689 9020 0 1 0 No 667 1 Yes 22 Sysmiss 9020 What type of FOOD assistance was provided? (Food for training) 689 9020 0 1 0 No 686 1 Yes 3 Sysmiss 9020 What type of FOOD assistance was provided? (Free food distributions) 689 9020 0 1 0 No 275 1 Yes 414 Sysmiss 9020 Who provided Food for school children (eaten at school or take-home) 29 9680 1 7 1 Government 20 2 WFP 2 3 Other UN agency 0 4 NGO 2 5 Church/Mosque 3 6 Community 0 7 Relative(s) /Friend(s) 2 8 Other 0 88 Don't know 0 Sysmiss 9680 Who provided Food for pregnant and breastfeeding women and small children (MCHN) 104 9605 1 8 1 Government 100 2 WFP 0 3 Other UN agency 0 4 NGO 2 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 2 88 Don't know 0 Sysmiss 9605 Who provided Food for work 22 9687 1 7 1 Government 9 2 WFP 0 3 Other UN agency 0 4 NGO 0 5 Church/Mosque 0 6 Community 9 7 Relative(s) /Friend(s) 4 8 Other 0 88 Don't know 0 Sysmiss 9687 Who provided Food for training 3 9706 1 1 1 Government 3 2 WFP 0 3 Other UN agency 0 4 NGO 0 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 88 Don't know 0 Sysmiss 9706 Who provided Free food distributions 414 9295 1 88 1 Government 240 2 WFP 2 3 Other UN agency 1 4 NGO 10 5 Church/Mosque 14 6 Community 16 7 Relative(s) /Friend(s) 120 8 Other 6 88 Don't know 5 Sysmiss 9295 Last 12 month, at least one household member benefited from govenment financial 9709 0 1 0 No 8563 1 Yes 1146 Last 12 month, at least one household member benefited from (VUP public Works) 9709 0 1 0 No 9292 1 Yes 417 Last 12 month, at least one household member benefited from (Girinka (one cow pe 9709 0 1 0 No 9415 1 Yes 294 Last 12 month, at least one household member benefited from (VUP direct support) 9709 0 1 0 No 9492 1 Yes 217 Last 12 month, at least one household member benefited from (VUP access to finan 9709 0 1 0 No 9555 1 Yes 154 Last 12 month, at least one household member benefited from (Ubudehe credit sche 9709 0 1 0 No 9623 1 Yes 86 Last 12 month, at least one household member benefited from (One cup of milk per 9709 0 1 0 No 9657 1 Yes 52 Last 12 month, at least one household member benefited from other NON-FOOD assis 9709 0 88 0 No 8281 1 Yes 1416 88 Don't know 12 Last 12 month, at least one household member benefited from (Access to credit/lo 1416 8293 0 1 0 No 1415 1 Yes 1 Sysmiss 8293 Last 12 month, at least one household member benefited from (Access to credit/lo 1416 8293 0 1 0 No 1409 1 Yes 7 Sysmiss 8293 Last 12 month, at least one household member benefited from (Agricultural input 1416 8293 0 1 0 No 1392 1 Yes 24 Sysmiss 8293 Last 12 month, at least one household member benefited from (Training and techni 1416 8293 0 1 0 No 1414 1 Yes 2 Sysmiss 8293 Last 12 month, at least one household member benefited from (Large Livestock (eg 1416 8293 0 1 0 No 1340 1 Yes 76 Sysmiss 8293 Last 12 month, at least one household member benefited from (Small livestock (eg 1416 8293 0 1 0 No 1202 1 Yes 214 Sysmiss 8293 Last 12 month, at least one household member benefited from (Fish ponds) 1416 8293 0 0 No 1416 1 Yes 0 Sysmiss 8293 Last 12 month, at least one household member benefited from (Veterinary services 1416 8293 0 1 0 No 1408 1 Yes 8 Sysmiss 8293 Last 12 month, at least one household member benefited from (For education (e.g. 1416 8293 0 1 0 No 1323 1 Yes 93 Sysmiss 8293 Last 12 month, at least one household member benefited from (Direct transfers (o 1416 8293 0 1 0 No 1312 1 Yes 104 Sysmiss 8293 Last 12 month, at least one household member benefited from (medical services (i 1416 8293 0 1 0 No 580 1 Yes 836 Sysmiss 8293 Last 12 month, at least one household member benefited from (Construction/buildi 1416 8293 0 1 0 No 1346 1 Yes 70 Sysmiss 8293 Last 12 month, at least one household member benefited from (Water and/or sanita 1416 8293 0 1 0 No 1404 1 Yes 12 Sysmiss 8293 Who provided Access to credit/loans for agricultural/livestock related activitie 1 9708 4 4 1 Government 0 2 WFP 0 3 Other UN agency 0 4 NGO 1 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 88 Don't know 0 Sysmiss 9708 Who provided Access to credit/loans for Other NON agricultural/livestock related 7 9702 1 4 1 Government 6 2 WFP 0 3 Other UN agency 0 4 NGO 1 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 88 Don't know 0 Sysmiss 9702 Who provided Agricultural input assistance (tools, seeds, fertilizer, etc.) 24 9685 1 7 1 Government 18 2 WFP 0 3 Other UN agency 0 4 NGO 3 5 Church/Mosque 0 6 Community 1 7 Relative(s) /Friend(s) 2 8 Other 0 88 Don't know 0 Sysmiss 9685 Who provided Training and technical assistance in improved agricultural/livestoc 2 9707 1 4 1 Government 1 2 WFP 0 3 Other UN agency 0 4 NGO 1 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 88 Don't know 0 Sysmiss 9707 Who provided Large Livestock (eg. cow) 76 9633 1 8 1 Government 69 2 WFP 0 3 Other UN agency 0 4 NGO 2 5 Church/Mosque 2 6 Community 2 7 Relative(s) /Friend(s) 0 8 Other 1 88 Don't know 0 Sysmiss 9633 Who provided Small livestock (eg. chicken rabbits…) 214 9495 1 88 1 Government 174 2 WFP 0 3 Other UN agency 2 4 NGO 29 5 Church/Mosque 5 6 Community 1 7 Relative(s) /Friend(s) 0 8 Other 2 88 Don't know 1 Sysmiss 9495 Who provided Veterinary services 8 9701 1 7 1 Government 7 2 WFP 0 3 Other UN agency 0 4 NGO 0 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 1 8 Other 0 88 Don't know 0 Sysmiss 9701 Who provided For education (e.g. school materials) 93 9616 1 88 1 Government 24 2 WFP 0 3 Other UN agency 0 4 NGO 37 5 Church/Mosque 10 6 Community 1 7 Relative(s) /Friend(s) 18 8 Other 2 88 Don't know 1 Sysmiss 9616 Who provided Direct transfers (other than VUP) 104 9605 1 88 1 Government 45 2 WFP 0 3 Other UN agency 0 4 NGO 13 5 Church/Mosque 1 6 Community 0 7 Relative(s) /Friend(s) 35 8 Other 9 88 Don't know 1 Sysmiss 9605 Who provided medical services (including mutuelle de sante) 836 8873 1 88 1 Government 790 2 WFP 0 3 Other UN agency 0 4 NGO 19 5 Church/Mosque 7 6 Community 3 7 Relative(s) /Friend(s) 11 8 Other 5 88 Don't know 1 Sysmiss 8873 Who provided Construction/building materials 70 9639 1 8 1 Government 53 2 WFP 0 3 Other UN agency 1 4 NGO 8 5 Church/Mosque 5 6 Community 1 7 Relative(s) /Friend(s) 0 8 Other 2 88 Don't know 0 Sysmiss 9639 Who provided Water and/or sanitation 12 9697 1 5 1 Government 10 2 WFP 0 3 Other UN agency 0 4 NGO 1 5 Church/Mosque 1 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 88 Don't know 0 Sysmiss 9697 HH Unique identification 6736 Child mother unique identification 6736 Chid unique identification 6736 Interview date 6736 13735353600 13742265600 13735353600 2 13735440000 1 13738723200 2 13739328000 81 13739414400 182 13739500800 178 13739587200 177 13739673600 177 13739760000 182 13739846400 210 13739932800 188 13740019200 177 13740105600 155 13740192000 187 13740278400 183 13740364800 163 13740451200 203 13740537600 209 13740624000 233 13740710400 179 13740796800 197 13740883200 212 13740969600 205 13741056000 214 13741142400 217 13741228800 209 13741315200 235 13741401600 219 13741488000 253 13741574400 250 13741660800 236 13741747200 238 13741833600 238 13741920000 80 13742006400 194 13742092800 205 13742179200 168 13742265600 97 Rwanda 6736 1 1 1 Rwanda 6736 Province 6736 1 5 1 Kigali city 735 2 Southern province 1706 3 Western province 1680 4 Northern province 1065 5 Eastern province 1550 District 6736 101 507 101 Nyarugenge 256 102 Gasabo 214 103 Kicukiro 265 201 Nyanza 190 202 Gisagara 210 203 Nyaruguru 232 204 Huye 288 205 Nyamagabe 192 206 Ruhango 188 207 Muhanga 166 208 Kamonyi 240 301 Karongi 238 302 Rutsiro 211 303 Rubavu 242 304 Nyabihu 241 305 Ngororero 233 306 Rusizi 264 307 Nyamasheke 251 401 Rulindo 178 402 Gakenke 252 403 Musanze 192 404 Burera 230 405 Gicumbi 213 501 Rwamagana 210 502 Nyagatare 200 503 Gatsibo 254 504 Kayonza 240 505 Kirehe 215 506 Ngoma 212 507 Bugesera 219 Urban rural status 6736 1 2 1 Urban 1156 2 Rural 5580 Household wealth index 6736 1 5 1 Poorest 1076 2 Poor 1481 3 Medium 1425 4 Wealthy 1260 5 Wealthiest 1494 Household ubudehe category 6736 0 88 0 [0] Don't know 107 1 [1] Category one 853 2 [2] Category two 2519 3 [3] Category three 3210 4 [4] Category four 8 88 [88] Not assigned yet 39 Livelihood zones 6736 0 12 0 Kigali city 664 1 Lake Kivu Coffee Zone 730 2 West Congo-Nile Crest Tea Zone 428 3 Northwest Volcanic Irish Potato Zone 549 4 East Congo-Nile Highland Subsistence Farming Zone 906 5 Central Plateau Cassava and Coffee Zone 1259 6 Northern Highland Beans and Wheat Zone 231 7 Central-Northern Highland Irish Potato, Beans and Vegetable Zone 352 8 Bugesera Cassava Zone 292 9 Eastern Plateau Mixed Agriculture Zone 365 10 Southeastern Plateau Banana Zone 573 11 Eastern Agropastoral Zone 264 12 Eastern Semi-Arid Agropastoral Zone 123 Household food security situation 6736 1 4 1 Food secure 2729 2 Marginally food secure 2676 3 Moderately food insecure 1220 4 Severely food insecure 111 Household livelihood group 6736 1 10 1 Low-income agriculturalists 2220 2 Agro-pastoralists 1052 3 Agricultural daily labour 1274 4 Unskilled daily labour 499 5 Skilled labour 241 6 Trade/petty trade 356 7 Salaried work/own business 492 8 External support/transfers/begging 27 9 Artisanal work/other 188 10 Medium/high income agriculturalists 387 Household size (category) 6736 2 5 1 1 member 0 2 2-4 members 2130 3 5-7 members 3548 4 8-10 members 949 5 >10 members 109 Household head's gender 6736 1 2 1 Male 5779 2 Female 957 Household head's age (category) 6736 1 4 1 2 2 18-39 years old 3886 3 40-60 years old 2320 4 >60 years old 528 Household head's age 6736 18 97 Village N HHs 6736 51 2041 Village Sample Size 6736 10 10 10 6736 Final Weight 6736 17.5401192267352 3093.42981384139 District weight 6736 175.401192267352 30934.2981384139 Household size 6736 2 22 2 55 3 643 4 1432 5 1434 6 1255 7 859 8 544 9 257 10 148 11 73 12 16 13 11 14 3 15 2 18 2 22 2 Child index from demograpy section 6736 2 22 2 78 3 1197 4 1552 5 1380 6 1060 7 711 8 416 9 202 10 89 11 29 12 11 13 5 14 2 15 2 21 1 22 1 Child date of birth 6736 13581907200 13742179200 Child age in months 6736 0 59.99 Child age group 6736 1 2 1 566 2 Include (6-60m) 6170 Child sex 6736 1 2 1 Male 3365 2 Female 3371 Primary Caregiver of Child 6736 1 6 1 Mother 6134 2 Father 155 3 Grandmother 342 4 Close family relative 59 5 Other relationship 29 6 Homemaid 17 Respondent's relationship with child? 6736 1 6 1 Mother 6080 2 Father 196 3 Grandmother 331 4 Close family relative 83 5 Other relationship 33 6 Homemaid 13 Child's mother 6736 1 88 1 ${S1C20} 405 2 ${S1C21} 5476 3 ${S1C22} 347 4 ${S1C23} 112 5 ${S1C24} 46 6 ${S1C25} 16 7 ${S1C26} 6 8 ${S1C27} 6 9 ${S1C28} 1 10 ${S1C29} 1 11 ${S1C30} 0 12 ${S1C31} 3 13 ${S1C32} 1 14 ${S1C33} 0 15 ${S1C34} 0 16 ${S1C35} 0 17 ${S1C36} 0 18 ${S1C37} 0 19 ${S1C38} 0 20 ${S1C39} 0 21 ${S1C40} 0 22 ${S1C41} 0 23 ${S1C42} 0 24 ${S1C43} 0 25 ${S1C44} 0 26 ${S1C45} 0 27 ${S1C46} 0 28 ${S1C47} 0 29 ${S1C48} 0 30 ${S1C49} 0 77 Doesn't live in this household 282 88 Deceased 34 Is [child name] currently present for interview and anthropometric measurement? 6736 0 1 0 No 262 1 Yes 6474 When born, how big in Kg was [child name], refer to the child growth card? 5882 854 0.3 6.5 Since September 2017 (last 6 months), has [NAME] received vit A drops? (show the 5948 788 0 88 0 No 680 1 Yes 5209 88 Don't know 59 Sysmiss 788 During last six months, did [child name] receive deworming tablets? 5303 1433 0 88 0 No 736 1 Yes 4544 88 Don't know 23 Sysmiss 1433 Has [child name] had illness with fever during last two weeks? 5948 788 0 1 0 No 2986 1 Yes 2962 88 Don't know 0 Sysmiss 788 Has [child name] had illness with cough during last two weeks? 5948 788 0 88 0 No 2114 1 Yes 3833 88 Don't know 1 Sysmiss 788 Has [child name] had illness with diarrhea during last two weeks? 5948 788 0 88 0 No 4924 1 Yes 1023 88 Don't know 1 Sysmiss 788 During the last 2 weeks when [child name] had diarrhea, how did you treat it? 869 5867 1 88 1 Was given more drinks 25 2 Was given more food 13 3 Was frequently breastfed 13 4 Was given clean safe drinking water 10 5 Was given RUTF 13 6 Was given homemade or packaged (ReSoMal) oral rehidration salts 76 7 Was zinc supplement given along with the home or packaged oral rehidration salts 194 8 Was given other diarrhea treatment 302 88 Nothing was done 223 Sysmiss 5867 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6655 1 Yes 81 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6698 1 Yes 38 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6687 1 Yes 49 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6702 1 Yes 34 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6711 1 Yes 25 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6586 1 Yes 150 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6450 1 Yes 286 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (W 6736 0 1 0 No 6398 1 Yes 338 During the last 2 weeks when [child name] had diarrhea, how did you treat it? (N 6736 0 1 0 No 6513 1 Yes 223 Please specify what other treatment were 6736 During last two weeks when [child name] was sick, did s/he see any healthcare pr 4246 2490 0 3 0 None 1392 1 Staff at health facility 2133 2 Community health care worker 375 3 Traditional 346 Sysmiss 2490 Does [child name] have his/her hands washed before eating/meal 5948 788 0 88 0 No 734 1 Yes 5198 88 Don't know 16 Sysmiss 788 Did [child name] sleep under a mosquito net last night? 5948 788 0 1 0 No 1459 1 Yes 4489 Sysmiss 788 Was [child name] breastfed yesterday during day or at night? 2569 4167 0 1 0 No 187 1 Yes 2382 Sysmiss 4167 Has [child name]ever been breastfed? 187 6549 0 1 0 No 6 1 Yes 181 Sysmiss 6549 How long after birth did you first put [child name]to the breast after birth? 2563 4173 1 4 1 Less than 1 hour 1973 2 Between 1 -23 hours 407 3 24 hours or more 147 4 Don't remember 36 Sysmiss 4173 Yesterday, during the day or night, did [child name] drink Plain water 2561 4175 0 1 0 No 1765 1 Yes 796 88 Don't know 0 Sysmiss 4175 Yesterday, during the day or night, did [child name] drink any drinks made with 2568 4168 0 1 0 No 2529 1 Yes 39 88 Don't know 0 Sysmiss 4168 How many times did [child name] consume this Infant formula 39 6697 1 77 1 5 2 11 3 9 4 6 5 5 6 1 77 2 Sysmiss 6697 Yesterday, during the day or night, did [child name] consume Milk (tinned, powde 2568 4168 0 1 0 No 2202 1 Yes 366 88 Don't know 0 Sysmiss 4168 How many times did [child name] consume Milk (tinned, powdered, fresh 366 6370 1 77 1 68 2 118 3 110 4 36 5 19 6 6 7 1 9 1 77 7 Sysmiss 6370 Yesterday, during the day or night, did [child name] dr 2569 4167 0 1 0 No 2340 1 Yes 229 88 Don't know 0 Sysmiss 4167 Yesterday, during the day or night, did [child name] drink any clear broth 2569 4167 0 1 0 No 2266 1 Yes 303 88 Don't know 0 Sysmiss 4167 Yesterday, during the day or night, did [child name] drink any sour milk or yogu 2566 4170 0 1 0 No 2498 1 Yes 68 88 Don't know 0 Sysmiss 4170 How many times did [child name] consume Yogurt 68 6668 1 77 1 26 2 23 3 15 4 1 77 3 Sysmiss 6668 Yesterday, during the day or night, did [child name] drink any fortified blended 2569 4167 0 1 0 No 2338 1 Yes 231 88 Don't know 0 Sysmiss 4167 How many times did [child name] consume FBF (shisha kibondo)? 231 6505 1 77 1 43 2 96 3 68 4 18 5 2 6 1 7 1 77 2 Sysmiss 6505 Yesterday, during the day or night, did [child name] drink any other FBF (Sosoma 2569 4167 0 1 0 No 2476 1 Yes 93 88 Don't know 0 Sysmiss 4167 Yesterday, during the day or night, did [child name] drink any thin porridge, fo 2569 4167 0 1 0 No 1444 1 Yes 1125 88 Don't know 0 Sysmiss 4167 Yesterday, during the day or night, did [child name] drinkTea or coffee with mil 2567 4169 0 1 0 No 2494 1 Yes 73 88 Don't know 0 Sysmiss 4169 Yesterday, during the day or 2568 4168 0 1 0 No 2459 1 Yes 109 88 Don't know 0 Sysmiss 4168 Yesterday, during the day or night, did [child name] drink anything from a bot 2568 4168 0 1 0 No 2402 1 Yes 166 88 Don't know 0 Sysmiss 4168 Yesterday, during the day or night, did [child name] eat any Porridge, bread, ri 2043 4693 0 88 0 No 809 1 Yes 1231 88 Don't know 3 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any White potatoes, whi 2043 4693 0 88 0 No 711 1 Yes 1329 88 Don't know 3 Sysmiss 4693 Yesterday, during the day or night 2043 4693 0 88 0 No 602 1 Yes 1439 88 Don't know 2 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Milk, Cheese, yogur 2043 4693 0 88 0 No 1937 1 Yes 99 88 Don't know 7 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Liver, kidney, hea 2043 4693 0 88 0 No 2001 1 Yes 33 88 Don't know 9 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any meat, such as beef, 2043 4693 0 88 0 No 1956 1 Yes 77 88 Don't know 10 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Fresh or dried fis 2043 4693 0 88 0 No 1820 1 Yes 216 88 Don't know 7 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Eggs 2043 4693 0 88 0 No 1956 1 Yes 81 88 Don't know 6 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Vit A rich vegetab 2043 4693 0 88 0 No 1716 1 Yes 309 88 Don't know 18 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any dark green leafy ve 2043 4693 0 88 0 No 684 1 Yes 1354 88 Don't know 5 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Ripe mangoes, ripe 2043 4693 0 88 0 No 1708 1 Yes 330 88 Don't know 5 Sysmiss 4693 Yesterday, during the day or night, did [child name] ea 2043 4693 0 88 0 No 1576 1 Yes 463 88 Don't know 4 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Foods made with re 2043 4693 0 88 0 No 1868 1 Yes 161 88 Don't know 14 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any shisha kibondo? 1814 4922 0 88 0 No 1801 1 Yes 9 88 Don't know 4 Sysmiss 4922 Yesterday, during the day or night, did [child name] eat any other FBF (e.g. sos 2043 4693 0 88 0 No 1957 1 Yes 80 88 Don't know 6 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any RUTF (e.g. Plumpy’N 2043 4693 0 88 0 No 1993 1 Yes 40 88 Don't know 10 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any Iron fortified soli 2043 4693 0 88 0 No 2011 1 Yes 20 88 Don't know 12 Sysmiss 4693 Yesterday, during the day or night, did [child name] eat any food to which you a 2043 4693 0 88 0 No 1916 1 Yes 124 88 Don't know 3 Sysmiss 4693 Yesteday, during day or night how many times did [child name] eat solid, semisol 2043 4693 0 77 0 227 1 362 2 886 3 468 4 81 5 9 6 2 77 8 Sysmiss 4693 Is [child name] enrolled in Shisha Kibondo? 2043 4693 0 88 0 No 1705 1 Yes 337 88 Don't know 1 Sysmiss 4693 Is [child name] enrolled in any supplementary feeding programme? 2043 4693 0 88 0 No 1844 1 Yes 197 88 Don't know 2 Sysmiss 4693 If any, which supplementary feeding programme? 197 6539 1 3 1 (non-hospitalized) Therapeutic feeding 34 2 (hospitalized, inpatient) Therapeutic feeding 3 3 Supplementary feeding 160 Sysmiss 6539 Does [child name] present any disability preventing him or her from being measur 5929 807 0 4 0 None 5914 1 Can't measure Odema 1 2 Can't measure weight 0 3 Can't measure height 13 4 Can't measure MUAC 1 Sysmiss 807 Does [child name] present any disability preventing him or her from being measur 6736 0 1 0 No 4 1 Yes 6732 Does [child name] present any disability preventing him or her from being measur 6736 0 1 0 No 6729 1 Yes 7 Does [child name] present any disability preventing him or her from being measur 6736 0 1 0 No 6722 1 Yes 14 Does [child name] present any disability preventing him or her from being measur 6736 0 1 0 No 6704 1 Yes 32 Does [child name] present any disability preventing him or her from being measur 6736 0 1 0 No 6722 1 Yes 14 Survey Date (ENA) 5910 826 2018-01-15 2 2018-01-16 1 2018-03-02 69 2018-03-03 157 2018-03-04 149 2018-03-05 149 2018-03-06 154 2018-03-07 159 2018-03-08 172 2018-03-09 161 2018-03-10 158 2018-03-11 142 2018-03-12 159 2018-03-13 154 2018-03-14 133 2018-03-15 180 2018-03-16 183 2018-03-17 202 2018-03-18 162 2018-03-19 174 2018-03-20 193 2018-03-21 183 2018-03-22 189 2018-03-23 195 2018-03-24 183 2018-03-25 214 2018-03-26 199 2018-03-27 226 2018-03-28 215 2018-03-29 208 2018-03-30 218 2018-03-31 207 2018-04-01 71 2018-04-02 170 2018-04-03 187 2018-04-04 144 2018-04-05 88 826 Date of birth (ENA) 5910 826 Age in Months (ENA) 5910 826 6.01 60.02 Child weight (ENA) 5910 826 4.6 25 Child height (ENA) 5910 826 57.7 118.5 Childh has EDEMA? 5910 826 0 0 No 5910 1 Yes 0 Sysmiss 826 Child MUAC (ENA) 5910 826 104 220 WAZ_NCHS 5910 826 -4.858 4.548 HAZ_NCHS 5910 826 -5.645 3.264 WHZ_NCHS 5910 826 -3.3 3.928 WAZ_WHO 5910 826 -5.11 3.887 HAZ_WHO 5910 826 -5.979 3.645 WHZ_WHO 5910 826 -4.008 4.015 BMIZ_WHO 5910 826 -4.032 4.349 WAM_NCHS 5910 826 50.97 156.9 HAM_NCHS 5910 826 77.31 112.4 WHM_NCHS 5910 826 70.25 142.7 Flag_NCHS 6736 6650 HAZ 49 WAZ 9 WAZ, HAZ 10 WAZ, HAZ, WHZ 2 WAZ, WHZ 6 WHZ 10 Flag_WHO 6736 6637 HAZ 44 HAZ, WHZ 1 WAZ 7 WAZ, HAZ 14 WAZ, HAZ, WHZ 3 WAZ, WHZ 8 WHZ 22 MUACZ_age 5909 827 -4.061 3.515 Height_Age_WHO 5910 826 1.79 79.1 MUACZ_Ht 5855 881 -3.688 3.364 Age_6-59M_10cat 5723 1013 1 10 1 478 2 6-11 months 573 3 12-17 months 597 4 18-23 months 581 5 24-29 months 586 6 30-35 months 579 7 36-41 months 573 8 42-47 months 541 9 48-53 months 582 10 54-59 months 633 Sysmiss 1013 Age_6-59M_5cat 5723 1013 0 5 0 478 1 6-11 573 2 12-23 1178 3 24-35 1165 4 36-47 1114 5 48-59 1215 Sysmiss 1013 Age_6-23M_3cat 2040 4696 1 3 1 6-11 months 644 2 12-17 months 709 3 18-23 months 687 Sysmiss 4696 Last 24Hrs, child ate Grains, Roots, Tubers (FBF1) 2040 4696 0 1 0 No 185 1 Yes 1855 Sysmiss 4696 Last 24Hrs, child ate Legumes and Nuts (FBF1) 2040 4696 0 1 0 No 604 1 Yes 1436 Sysmiss 4696 Last 24Hrs, child ate Dairy Products (FBF1) 2040 4696 0 1 0 No 1604 1 Yes 436 Sysmiss 4696 Last 24Hrs, child ate Flesh Foods and Fortified Foods (FBF1) 2040 4696 0 1 0 No 1366 1 Yes 674 Sysmiss 4696 Last 24Hrs, child ate Eggs (FBF1) 2040 4696 0 1 0 No 1959 1 Yes 81 Sysmiss 4696 Last 24Hrs, child ate Vitamin-A Rich Fruits and Vegetables (FBF1) 2040 4696 0 1 0 No 552 1 Yes 1488 Sysmiss 4696 Last 24Hrs, child ate Other Fruits and Vegetables (FBF1) 2040 4696 0 1 0 No 1578 1 Yes 462 Sysmiss 4696 Food Group Score (FBF1) 2040 4696 0 7 0 68 1 169 2 378 3 629 4 515 5 208 6 64 7 9 Sysmiss 4696 Number of Milk Feeds for Non-Breastfed Children (FBF1) 181 6555 0 77 0 111 1 9 2 19 3 18 4 9 5 8 6 2 7 3 77 2 Sysmiss 6555 Diet Diversity Score (FBF1) 2040 4696 0 1 0 No 1244 1 Yes 796 Sysmiss 4696 Minimum Meal Frequency Score (FBF1) 2040 4696 0 1 0 No 1335 1 Yes 705 Sysmiss 4696 Minimum Acceptable Diet Score (FBF1) 2040 4696 0 1 0 No 1693 1 Yes 347 Sysmiss 4696 Last 24Hrs, child ate Grains, Roots, Tubers (FBF4) 2040 4696 0 1 0 No 152 1 Yes 1888 Sysmiss 4696 Last 24Hrs, child ate Legumes and Nuts (FBF4) 2040 4696 0 1 0 No 490 1 Yes 1550 Sysmiss 4696 Last 24Hrs, child ate Dairy Products (FBF4) 2040 4696 0 1 0 No 1310 1 Yes 730 Sysmiss 4696 Last 24Hrs, child ate Flesh Foods and Fortified Foods (FBF4) 2040 4696 0 1 0 No 1366 1 Yes 674 Sysmiss 4696 Last 24Hrs, child ate Eggs (FBF4) 2040 4696 0 1 0 No 1959 1 Yes 81 Sysmiss 4696 Last 24Hrs, child ate Vitamin-A Rich Fruits and Vegetables (FBF4) 2040 4696 0 1 0 No 552 1 Yes 1488 Sysmiss 4696 Last 24Hrs, child ate Other Fruits and Vegetables (FBF4) 2040 4696 0 1 0 No 1578 1 Yes 462 Sysmiss 4696 Food Group Score (FBF4) 2040 4696 0 7 0 68 1 163 2 348 3 545 4 442 5 341 6 120 7 13 Sysmiss 4696 Number of Milk Feeds for Non-Breastfed Children (FBF4) 181 6555 0 77 0 111 1 9 2 19 3 18 4 9 5 8 6 2 7 3 77 2 Sysmiss 6555 Diet Diversity Score (FBF4) 2040 4696 0 1 0 No 1124 1 Yes 916 Sysmiss 4696 Minimum Meal Frequency Score (FBF4) 2040 4696 0 1 0 No 1335 1 Yes 705 Sysmiss 4696 Minimum Acceptable Diet Score (FBF4) 2040 4696 0 1 0 No 1642 1 Yes 398 Sysmiss 4696 Underweight 5910 826 0 2 0 Normal 5138 1 Moderate 650 2 Severe 122 Sysmiss 826 Wasting 5910 826 0 2 0 Normal 5788 1 Moderate 100 2 Severe 22 Sysmiss 826 Stunting 5910 826 0 2 0 Normal 3773 1 Moderate 1484 2 Severe 653 Sysmiss 826 Global Stunting 5910 826 0 1 0 No stunted 3773 1 Stunted 2137 Sysmiss 826 Global Wasting 5910 826 0 1 0 No wasted 5788 1 Wasted 122 Sysmiss 826 Global Underweight 5910 826 0 1 0 No underweight 5138 1 Underweight 772 Sysmiss 826 ============================== 6736 * Sysmiss 6736 For this section onwards comes mothers information 6736 * Sysmiss 6736 Woman's age 5873 863 15 49 15 2 16 1 17 14 18 31 19 28 20 70 21 87 22 145 23 182 24 210 25 211 26 246 27 281 28 319 29 287 30 381 31 317 32 344 33 307 34 288 35 336 36 275 37 276 38 241 39 209 40 190 41 133 42 115 43 109 44 70 45 64 46 43 47 27 48 22 49 12 Sysmiss 863 Woman's literacy level 5873 863 0 2 0 No 1312 1 Yes (both read and write) 4359 2 Yes (read only) 202 Sysmiss 863 Woman's education level 5873 863 1 88 1 No school 1021 2 Some/still primary 2307 3 Completed primary 1483 4 Vocational school 58 5 Some/still secondary 514 6 Completed secondary 295 7 Some/still university 49 8 Completed university 106 88 Don't know 40 Sysmiss 863 Is [woman name] currently present for interview? 5873 863 1 1 0 No 0 1 Yes 5873 Sysmiss 863 Are you currently using any contraceptive methods? 5873 863 0 1 0 No 2250 1 Yes 3623 Sysmiss 863 Which method do you use? 3604 3132 1 88 1 Cervical mucus 202 2 Beads 77 3 Pills 528 4 Condom 97 5 Injectables 1692 6 Implants 919 7 IUD 22 8 Other 49 88 No in need yet 18 Sysmiss 3132 Specfy other methods 6736 * Sysmiss 6736 Have you ever been pregnant and gave birth at least once? 5873 863 0 2 0 Never been pregnant 23 1 Never gave birth but been pregnant 12 2 Yes (was pregnant and gave brith) 5838 88 Don't know 0 Sysmiss 863 Are you currently pregnant or breastfeeding 5850 886 1 88 1 Pregnant only 318 2 Both (pregnant and lactating) 33 3 Lactating only 3872 4 Neither 1609 88 Don't know 18 Sysmiss 886 Are you enrolled in the shisha kibondo / mubyeyi program? 4223 2513 0 1 0 No 3796 1 Yes 427 Sysmiss 2513 During your last pregnancy, have you ever been visited by a community health wor 5850 886 0 1 0 No 1900 1 Yes 3950 Sysmiss 886 During the first 6 weeks that s/he was born (the child that you're currently bre 3905 2831 0 1 0 No 2135 1 Yes 1770 Sysmiss 2831 Did you see anyone for antenatal care for this/the recent pregnancy? 5850 886 0 1 0 No 124 1 Yes 5726 Sysmiss 886 Where did you receive antenatal care for this/the recent pregnancy? 5726 1010 1 3 1 Public health care provider (at health center or hospital) 5563 2 Private health care provider (at health center or hospital) 154 3 Other (speficy) 9 Sysmiss 1010 How many months pregnant were you when you first received antenatal care for the 5689 1047 0 9 0 7 1 109 2 489 3 2791 4 1092 5 571 6 362 7 183 8 78 9 7 Sysmiss 1047 How many antenatal care visits did you attend during your recent born pregnancy? 5838 898 0 77 0 64 1 220 2 699 3 2322 4 2311 5 120 6 30 7 9 8 5 9 9 77 49 Sysmiss 898 During your recent pregnancy, did you take any iron supplements? 5850 886 0 1 0 No 1929 1 Yes 3921 Sysmiss 886 Women are usually given 90 pills, how many of those did you take? 3921 2815 1 4 1 All of them (90 pills) 1023 2 More than a half (50 - 75 pills) 486 3 About a half (35 - 45 pills) 629 4 1783 Sysmiss 2815 Have you ever received any counselling or education on nutrition? 5873 863 0 1 0 No 2205 1 Yes 3668 Sysmiss 863 Who provided this counseling or education on nutrition? 2802 3934 1 7 1 Health care worker (CHW) 828 2 Heath facility worker 1883 3 NGO worker 24 4 Mothers in the community 12 5 Local authorities 19 6 Media (such as radio, tv, newspaper or drama 33 7 Other channels 3 Sysmiss 3934 Did you sleep under a mosquito net last night? 5873 863 0 1 0 No 1377 1 Yes 4496 Sysmiss 863 Have you ever been ill during the last two weeks? 5873 863 0 1 0 No 3808 1 Yes 2065 Sysmiss 863 Last 2 weeks when you were sick, did you consult any healthcare service? 2065 4671 0 3 0 None 648 1 Staff at health facility 1220 2 Community health care worker 139 3 Traditional 58 Sysmiss 4671 Tell me all the times you wash hands 920 5816 1 88 1 Before preparing meals 33 2 After cleaning a child from toilet 0 3 Before eating 443 4 Whenever their dirty 356 5 After visiting toilet 29 6 Other 48 88 Never 11 Sysmiss 5816 Tell me all the times you wash hands (Before preparing meals) 5873 863 0 1 0 No 2720 1 Yes 3153 Sysmiss 863 Tell me all the times you wash hands (After cleaning a child from toilet) 5873 863 0 1 0 No 3693 1 Yes 2180 Sysmiss 863 Tell me all the times you wash hands (Before eating) 5873 863 0 1 0 No 926 1 Yes 4947 Sysmiss 863 Tell me all the times you wash hands (Whenever their dirty) 5873 863 0 1 0 No 2617 1 Yes 3256 Sysmiss 863 Tell me all the times you wash hands (After visiting toilet) 5873 863 0 1 0 No 2442 1 Yes 3431 Sysmiss 863 Tell me all the times you wash hands (Other) 5873 863 0 1 0 No 5314 1 Yes 559 Sysmiss 863 Tell me all the times you wash hands (Never) 5873 863 0 1 0 No 5862 1 Yes 11 Sysmiss 863 The last time you washed your hands, what did you use? 5862 874 1 4 1 Water only 1006 2 Water and homemade soap 166 3 Water and washing soap 4687 4 Other 3 Sysmiss 874 Does the woman present any disability the prevents her from being measured MUAC? 5873 863 0 1 0 No 5842 1 Yes 31 Sysmiss 863 Mother's MUAC in mm 5842 894 77 490 Mother's MUAC in mm (categories) 5842 894 1 3 1 49 2 210-230 cm 472 3 >230 cm 5321 Sysmiss 894 Foods made from grains (Porridge, bread, rice, pasta/noodles or other foods made 5873 863 0 1 0 No 1508 1 Yes 4365 Sysmiss 863 White roots and tubers and plantains (White potatoes, white yams, manioc/cassava 5873 863 0 1 0 No 1553 1 Yes 4320 Sysmiss 863 Pulses (beans, peas and lentils) (Mature beans or peas (fresh or dried seed), le 5873 863 0 1 0 No 1085 1 Yes 4788 Sysmiss 863 Nuts and seeds (Any tree nut, groundnut/peanut or certain seeds, or nut/seed “bu 5873 863 0 1 0 No 4720 1 Yes 1153 Sysmiss 863 Milk and milk products (Milk, cheese, yoghurt or other milk products but NOT inc 5873 863 0 1 0 No 5112 1 Yes 761 Sysmiss 863 Organ meat (Liver, kidney, heart or other organ meats or blood-based foods, incl 5873 863 0 1 0 No 5741 1 Yes 132 Sysmiss 863 Meat and poultry (Beef, pork, lamb, goat, rabbit, wild game meat, chicken, duck 5873 863 0 1 0 No 5508 1 Yes 365 Sysmiss 863 Fish and seafood (Fresh or dried fish, shellfish or seafood ) 5873 863 0 1 0 No 5301 1 Yes 572 Sysmiss 863 Eggs (Eggs from poultry or any other bird ) 5873 863 0 1 0 No 5755 1 Yes 118 Sysmiss 863 Dark green leafy vegetables (List examples of any medium-to-dark green leafy veg 5873 863 0 1 0 No 1600 1 Yes 4273 Sysmiss 863 Vitamin A-rich vegetables, roots and tubers (Pumpkin, carrots, squash or sweet p 5873 863 0 1 0 No 4777 1 Yes 1096 Sysmiss 863 Vitamin A-rich fruits (Ripe mango, ripe papaya, tree tomato) 5873 863 0 1 0 No 5150 1 Yes 723 Sysmiss 863 Other vegetables () 5873 863 0 1 0 No 4094 1 Yes 1779 Sysmiss 863 Other fruits () 5873 863 0 1 0 No 5112 1 Yes 761 Sysmiss 863 Shisha Kibondo/ Mubyeyi 5873 863 0 1 0 No 5674 1 Yes 199 Sysmiss 863 Any fortified blended foods (Nootri-mama, Nootri family, Sosoma) 5873 863 0 1 0 No 5800 1 Yes 73 Sysmiss 863 Cereals_MDDW 5873 863 0 1 0 169 1 5704 Sysmiss 863 Pulses_MDDW 5873 863 0 1 0 1085 1 4788 Sysmiss 863 Nuts_MDDW 5873 863 0 1 0 4720 1 1153 Sysmiss 863 Milk_MDDW 5873 863 0 1 0 5112 1 761 Sysmiss 863 Meat_MDDW 5873 863 0 1 0 4942 1 931 Sysmiss 863 Eggs_MDDW 5873 863 0 1 0 5755 1 118 Sysmiss 863 GreenVeg_MDDW 5873 863 0 1 0 1600 1 4273 Sysmiss 863 VitA_MDDW 5873 863 0 1 0 4345 1 1528 Sysmiss 863 OtherVeg_MDDW 5873 863 0 1 0 4094 1 1779 Sysmiss 863 OtherFruit_MDDW 5873 863 0 1 0 5112 1 761 Sysmiss 863 Minimum Dietary Diverstity - Women 5873 863 0 10 0 16 1 206 2 1008 3 1796 4 1311 5 771 6 428 7 217 8 85 9 30 10 5 Sysmiss 863 Minimum Dietary Diverstity - Women (Categories) 5873 863 1 2 1 4337 2 5 food groups or more 1536 Sysmiss 863 Child age class 6736 1 4 1 Less than 6 months 478 2 6 - 23 Months 1751 3 24-59 months 3494 4 No age recorded 1013 Village unique identification 987 Interview date 987 13739328000 13742265600 13739328000 13 13739414400 29 13739500800 29 13739587200 34 13739673600 27 13739760000 31 13739846400 28 13739932800 31 13740019200 31 13740105600 26 13740192000 27 13740278400 31 13740364800 29 13740451200 28 13740537600 31 13740624000 32 13740710400 29 13740796800 28 13740883200 33 13740969600 28 13741056000 32 13741142400 30 13741228800 29 13741315200 32 13741401600 32 13741488000 31 13741574400 30 13741660800 33 13741747200 28 13741833600 36 13741920000 10 13742006400 29 13742092800 27 13742179200 20 13742265600 13 Province 987 1 5 1 Kigali city 98 2 Southern 264 3 Western 230 4 Northern 165 5 Eastern 230 District 987 101 507 101 Nyarugenge 33 102 Gasabo 32 103 Kicukiro 33 201 Nyanza 33 202 Gisagara 33 203 Nyaruguru 33 204 Huye 33 205 Nyamagabe 33 206 Ruhango 33 207 Muhanga 33 208 Kamonyi 33 301 Karongi 33 302 Rutsiro 33 303 Rubavu 33 304 Nyabihu 33 305 Ngororero 33 306 Rusizi 33 307 Nyamasheke 32 401 Rulindo 33 402 Gakenke 33 403 Musanze 33 404 Burera 33 405 Gicumbi 33 501 Rwamagana 33 502 Nyagatare 33 503 Gatsibo 33 504 Kayonza 33 505 Kirehe 33 506 Ngoma 33 507 Bugesera 32 Sector 987 10101 50715 Cell 987 1010102 5071504 Village 987 101010201 507150403 Number of informants: 987 5 53 5 391 6 226 7 110 8 85 9 32 10 46 11 13 12 21 13 7 14 9 15 7 16 7 17 3 18 5 19 2 20 5 21 1 22 2 25 1 27 2 28 4 30 4 32 1 34 1 42 1 53 1 How many women are in this group? 987 0 20 0 13 1 144 2 332 3 242 4 131 5 57 6 20 7 17 8 5 9 5 10 8 11 3 12 1 13 4 14 1 16 1 17 1 19 1 20 1 How many men are in this group? 987 0 40 0 2 1 19 2 126 3 311 4 248 5 119 6 61 7 34 8 13 9 12 10 7 11 10 12 4 13 4 14 2 15 1 16 3 17 3 18 1 20 1 22 1 23 1 24 3 40 1 How many of these informants are local leaders? 987 0 30 0 5 1 226 2 356 3 229 4 104 5 60 6 4 7 1 9 1 30 1 How many of these informants are teachers 987 0 4 0 807 1 165 2 11 3 3 4 1 How many of these informants are health care workers 987 0 14 0 252 1 474 2 209 3 44 4 6 8 1 14 1 How many of these informants are farmers 987 0 53 0 106 1 98 2 100 3 98 4 68 5 166 6 107 7 64 8 49 9 16 10 30 11 10 12 16 13 7 14 8 15 6 16 6 17 5 18 6 19 3 20 4 22 2 24 1 25 1 26 1 27 2 30 4 34 1 42 1 53 1 How many households does this village have? 987 51 2041 Does any of the following safetynets schemes apply to this village 53 934 1 88 1 VUP direct support 4 2 VUP public Works 1 3 VUP access to financial services 1 4 Ubudehe credit scheme/loan (individual or group) 26 5 Girinka (one cow per family) 12 6 One cup of milk per child 1 88 None 8 Sysmiss 934 Is there any functioning primary school in this village? 987 0 1 0 No 745 1 Yes 242 If not, then how far away on average is the nearest functioning primary school? 745 242 4 150 4 1 5 25 7 3 8 2 10 59 15 76 20 95 25 25 30 197 35 8 40 64 45 36 50 11 60 111 70 1 80 1 90 16 100 2 120 11 150 1 Sysmiss 242 Is there a functioning health facility in the village? 987 0 1 0 No 889 1 Yes 98 If not, then how far away on average is the nearest functioning health facility? 889 98 2 360 2 1 3 1 5 10 8 1 10 21 15 30 20 62 25 11 30 142 35 8 40 61 45 30 50 13 60 220 70 1 75 1 80 8 90 96 105 1 120 111 150 17 160 1 180 35 210 1 220 1 240 4 360 1 Sysmiss 98 For quality control, repeat the previous value? 889 98 2 360 2 1 3 1 5 10 8 1 10 21 15 30 20 62 25 11 30 142 35 8 40 61 45 30 50 13 60 220 70 1 75 1 80 8 90 96 105 1 120 111 150 17 160 1 180 35 210 1 220 1 240 4 360 1 Sysmiss 98 Is there a market in this village? 987 0 1 0 No 949 1 Yes 38 Is this the main market your community mostly interacts with? 38 949 0 1 0 No 6 1 Yes 32 Sysmiss 949 If this is not the main market for the village or there is no market at all, how 955 32 2 420 2 1 3 2 5 9 10 18 15 33 20 40 23 1 25 13 30 99 35 3 40 44 45 33 50 14 60 185 70 3 74 1 75 2 80 8 90 92 100 1 105 1 120 182 140 2 150 58 180 91 240 15 270 1 360 2 420 1 Sysmiss 32 For quality control, repeat the previous value? 954 33 2 420 2 1 3 2 5 9 10 18 15 33 20 40 23 1 25 13 30 99 35 3 40 44 45 33 50 13 60 185 70 3 74 1 75 2 80 8 90 92 100 1 105 1 120 182 140 2 150 58 180 91 240 15 270 1 360 2 420 1 Sysmiss 33 Is the road to the main market for your community accessible all year round usin 987 0 1 0 No 379 1 Yes 608 If no, which months is it not accessible? 16 971 3 12 1 January 0 2 February 0 3 March 1 4 April 12 5 May 0 6 June 0 7 July 1 8 August 0 9 September 0 10 October 0 11 November 0 12 December 2 Sysmiss 971 What are the main challenges your community faces related to food markets? 210 777 1 88 1 Low production from last season 7 2 Not enough supply (not enough food available on market 6 3 Not enough demand (can't sell crops at market) 20 4 Loss/reduction of employment of household 16 5 Reduction of income of household members 6 6 High market prices for non-food items 25 7 Unusually high food prices 26 8 Insecurity/unrest/Violence 3 9 Market too far 49 10 Bad road to market 8 88 No challenges 44 Sysmiss 777 Three Most consumed cereals 184 803 1 88 1 Wheat 3 2 Maize 174 3 Sorghum 3 4 Rice 1 88 Other 3 Sysmiss 803 How do you rate the current availability in the martets that your community inte 987 1 3 1 Sufficient 470 2 Moderately sufficient 371 3 Low (insufficient) 146 How do you rate the current prices of these commodities compared to normal? 987 1 3 1 Normal 176 2 Higher that normal 496 3 Lower than normal 315 Three Most consumed tuber and roots 130 857 1 88 1 Sweet Potato 55 2 Irish potato 54 3 Cassava 5 4 Taro 0 5 Yam 0 6 Banana cooking 12 88 Other roots or other cereals 4 Sysmiss 857 How do you rate the current availability in the martets that your community inte 987 1 3 1 Sufficient 423 2 Moderately sufficient 380 3 Low (insufficient) 184 How do you rate the current prices of these commodities compared to normal? 987 1 3 1 Normal 182 2 Higher that normal 582 3 Lower than normal 223 Three most consumed pulses and legumes 234 753 1 5 1 Beans 230 2 Peas 2 3 Soya 0 4 Ground nuts 0 5 Other pulses, specify:_____ 2 Sysmiss 753 How do you rate the current availability in the martets that your community inte 987 1 3 1 Sufficient 485 2 Moderately sufficient 391 3 Low (insufficient) 111 How do you rate the current prices of these commodities compared to normal? 987 1 3 1 Normal 282 2 Higher that normal 439 3 Lower than normal 266 Three most consumed vegetables 109 878 1 4 1 Tomato 1 2 Cabbage 4 3 Amaranthes 100 4 Other vegetables 4 Sysmiss 878 How do you rate the current availability in the martets that your community inte 987 1 3 1 Sufficient 699 2 Moderately sufficient 232 3 Low (insufficient) 56 How do you rate the current prices of these commodities compared to normal? 987 1 3 1 Normal 466 2 Higher that normal 214 3 Lower than normal 307 Currently, what is the daily wage for unskilled agricultural labour? 987 77 2000 77 48 500 106 600 140 700 239 800 178 900 1 1000 232 1200 18 1300 2 1500 22 2000 1 For quality control, repeat the previous value? 939 48 500 2000 500 106 600 140 700 239 800 178 900 1 1000 232 1200 18 1300 2 1500 22 2000 1 Sysmiss 48 How does that wage compare to normal at this time of the year? 939 48 1 3 1 Normal 607 2 Higher that normal 264 3 Lower than normal 68 Sysmiss 48 Currently, what is the daily wage for Unskilled non agricultural labour? 987 77 5000 77 52 500 3 600 1 700 6 800 12 1000 259 1100 1 1200 111 1500 197 1700 1 2000 99 2500 135 3000 99 3500 5 4000 5 5000 1 For quality control, repeat the previous value? 935 52 500 5000 500 3 600 1 700 6 800 12 1000 259 1100 1 1200 111 1500 197 1700 1 2000 99 2500 135 3000 99 3500 5 4000 5 5000 1 Sysmiss 52 How does that wage compare to normal at this time of the year? 935 52 1 3 1 Normal 725 2 Higher that normal 152 3 Lower than normal 58 Sysmiss 52 Do households in your village community practice any agriculture activites? 987 0 1 0 No 80 1 Yes 907 Which commodities do people usually grow in this village? 1 986 26 26 11 Wheat 0 12 Maize 0 13 Sorghum 0 14 Rice 0 15 Other cereals 0 21 Sweet Potato 0 22 Irish potato 0 23 Cassava 0 24 Taro 0 25 Yam 0 26 Banana cooking 1 27 Other roots and tubers specify:_ 0 31 Tomato 0 32 Cabbage 0 33 Other vegetables 0 41 Banana (wine) 0 42 Banana fruit 0 43 Passion fruit 0 44 Pineapple 0 45 Other fruit specify:______ 0 51 Beans 0 52 Peas 0 53 Soya 0 54 Ground nuts 0 55 Other pulses, specify:_____ 0 61 Tea 0 62 Coffee 0 63 Tobacco 0 64 Sugar cane 0 65 Other cash crops specify:___ 0 Sysmiss 986 Did your village experience any shock in the past 12 months? 987 0 1 0 No 222 1 Yes 765 Based on severity, what are the main shocks/problems did households in this vil 294 693 1 20 1 Drought/irregular rains, prolonged dry spell 157 2 Floods 7 3 Landslides and Mudslides 17 4 42 5 Unusually high level of livestock diseases 0 6 Unusually high level of human disease/EPIDEMIC 0 7 Unusually high prices for food 0 8 Unusually high cost of agric. inputs (seed, fertilizer, etc.) 0 9 Loss or reduced employment/Income for a household member 0 10 Fires 2 11 Serious illness or accident of household member 0 12 Death of the Head of the household 0 13 Death a working household member 0 14 Death of other household member 0 15 Theft of productive resources 0 16 Insecurity/violence 0 17 hailstones (grele) 37 18 earthquake 1 19 Volcanic activity 0 20 Other, specify 31 Sysmiss 693 Specify other shock 987 * Sysmiss 987 What are the major community development constraints facing this village? 219 768 1 88 1 Low production from last season 26 2 Not enough supply (not enough food available on market 5 3 Not enough demand (can't sell crops at market) 16 4 Loss/reduction of employment of household 50 5 Reduction of income of household members 9 6 High market prices for non-food items 2 7 Unusually high food prices 13 8 Insecurity/unrest/Violence 3 9 Market too far 32 10 Bad road to market 10 88 No challenges 53 Sysmiss 768 Specfy other challenges 987 * Sysmiss 987 Any other discussion comments 987 * 0 No 0 1 Yes 0 Sysmiss 987 VUP direct support (Does any of the following safetynets schemes apply to this v 987 0 1 0 No 364 1 Yes 623 VUP public Works (Does any of the following safetynets schemes apply to this vil 987 0 1 0 No 538 1 Yes 449 VUP access to financial services (Does any of the following safetynets schemes a 987 0 1 0 No 469 1 Yes 518 Ubudehe credit scheme/loan (individual or group) (Does any of the following safe 987 0 1 0 No 218 1 Yes 769 Girinka (one cow per family) (Does any of the following safetynets schemes apply 987 0 1 0 No 99 1 Yes 888 One cup of milk per child (Does any of the following safetynets schemes apply to 987 0 1 0 No 712 1 Yes 275 January (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 214 1 Yes 165 February (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 194 1 Yes 185 March (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 85 1 Yes 294 April (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 18 1 Yes 361 May (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 182 1 Yes 197 June (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 262 1 Yes 117 July (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 265 1 Yes 114 August (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 255 1 Yes 124 September (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 173 1 Yes 206 October (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 134 1 Yes 245 November (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 114 1 Yes 265 December (which months of the year isn't the main road to market accessible?) 987 -1 1 -1 608 0 No 115 1 Yes 264 Low production from last season (What are the main challenges your community fac 987 0 1 0 No 759 1 Yes 228 Not enough supply (not enough food available on market (What are the main challe 987 0 1 0 No 762 1 Yes 225 Not enough demand (can't sell crops at market) (What are the main challenges you 987 0 1 0 No 783 1 Yes 204 Loss/reduction of employment of household (What are the main challenges your co 987 0 1 0 No 758 1 Yes 229 Reduction of income of household members (What are the main challenges your comm 987 0 1 0 No 868 1 Yes 119 High market prices for non-food items (What are the main challenges your communi 987 0 1 0 No 627 1 Yes 360 Unusually high food prices (What are the main challenges your community faces re 987 0 1 0 No 767 1 Yes 220 Insecurity/unrest/Violence (What are the main challenges your community faces re 987 0 1 0 No 981 1 Yes 6 Market too far (What are the main challenges your community faces related to foo 987 0 1 0 No 408 1 Yes 579 Bad road to market (What are the main challenges your community faces related to 987 0 1 0 No 667 1 Yes 320 Wheat (village most consumed cereals) 987 0 1 0 No 882 1 Yes 105 Maize (village most consumed cereals) 987 0 1 0 No 13 1 Yes 974 Sorghum (village most consumed cereals) 987 0 1 0 No 398 1 Yes 589 Rice (village most consumed cereals) 987 0 1 0 No 453 1 Yes 534 Other (village most consumed cereals) 987 0 1 0 No 945 1 Yes 42 Sweet Potato (village most consumed roots and tubers) 987 0 1 0 No 140 1 Yes 847 Irish potato (village most consumed roots and tubers) 987 0 1 0 No 348 1 Yes 639 Cassava (village most consumed roots and tubers) 987 0 1 0 No 447 1 Yes 540 Taro (village most consumed roots and tubers) 987 0 1 0 No 852 1 Yes 135 Yam (village most consumed roots and tubers) 987 0 1 0 No 969 1 Yes 18 Banana cooking (village most consumed roots and tubers) 987 0 1 0 No 662 1 Yes 325 Other roots or other cereals (village most consumed roots and tubers) 987 0 1 0 No 980 1 Yes 7 Beans (village most consumed legumes) 987 0 1 0 No 5 1 Yes 982 Peas (village most consumed legumes) 987 0 1 0 No 698 1 Yes 289 Soya (village most consumed legumes) 987 0 1 0 No 548 1 Yes 439 Ground nuts (village most consumed legumes) 987 0 1 0 No 537 1 Yes 450 Other pulses (village most consumed legumes) 987 0 1 0 No 954 1 Yes 33 Tomato (village most consumed vegetables) 987 0 1 0 No 483 1 Yes 504 Cabbage (village most consumed vegetables) 987 0 1 0 No 223 1 Yes 764 Amaranthes (village most consumed vegetables) 987 0 1 0 No 19 1 Yes 968 Other vegetables (village most consumed vegetables) 987 0 1 0 No 675 1 Yes 312 Wheat (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 836 1 Yes 71 Maize (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 75 1 Yes 832 Sorghum (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 563 1 Yes 344 Rice (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 809 1 Yes 98 Other cereals (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 897 1 Yes 10 Sweet Potato (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 212 1 Yes 695 Irish potato (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 568 1 Yes 339 Cassava (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 414 1 Yes 493 Taro (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 695 1 Yes 212 Yam (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 877 1 Yes 30 Banana cooking (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 521 1 Yes 386 Other roots and tubers (Which commodities do people usually grow in this village 987 -1 1 -1 80 0 No 874 1 Yes 33 Tomato (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 719 1 Yes 188 Cabbage (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 536 1 Yes 371 Other vegetables (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 492 1 Yes 415 Banana (wine) (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 590 1 Yes 317 Banana fruit (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 624 1 Yes 283 Passion fruit (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 862 1 Yes 45 Pineapple (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 881 1 Yes 26 Other fruits (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 741 1 Yes 166 Beans (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 25 1 Yes 882 Peas (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 688 1 Yes 219 Soya (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 578 1 Yes 329 Ground nuts (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 721 1 Yes 186 Other pulses (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 900 1 Yes 7 Tea (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 882 1 Yes 25 Coffee (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 721 1 Yes 186 Tobacco (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 893 1 Yes 14 Sugar cane (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 875 1 Yes 32 Other cash crops (Which commodities do people usually grow in this village?) 987 -1 1 -1 80 0 No 895 1 Yes 12 Drought/irregular rains, prolonged dry spell (what are the main shocks/problems 987 -1 1 -1 222 0 No 233 1 Yes 532 Floods (what are the main shocks/problems did households in this village face 987 -1 1 -1 222 0 No 680 1 Yes 85 Landslides and Mudslides (what are the main shocks/problems did households in 987 -1 1 -1 222 0 No 651 1 Yes 114 987 -1 1 -1 222 0 No 380 1 Yes 385 Unusually high level of livestock diseases (what are the main shocks/problems d 987 -1 1 -1 222 0 No 754 1 Yes 11 Unusually high level of human disease/EPIDEMIC (what are the main shocks/proble 987 -1 1 -1 222 0 No 760 1 Yes 5 Unusually high prices for food (what are the main shocks/problems did househol 987 -1 1 -1 222 0 No 717 1 Yes 48 Unusually high cost of agric. inputs (seed, fertilizer, etc.) (what are the mai 987 -1 1 -1 222 0 No 744 1 Yes 21 Loss or reduced employment/Income for a household member (what are the main sho 987 -1 1 -1 222 0 No 708 1 Yes 57 Fires (what are the main shocks/problems did households in this village face i 987 -1 1 -1 222 0 No 763 1 Yes 2 Serious illness or accident of household member (what are the main shocks/probl 987 -1 1 -1 222 0 No 761 1 Yes 4 Death of the Head of the household (what are the main shocks/problems did hou 987 -1 1 -1 222 0 No 763 1 Yes 2 Death a working household member (what are the main shocks/problems did househ 987 -1 1 -1 222 0 No 764 1 Yes 1 Death of other household member (what are the main shocks/problems did househo 987 -1 -1 222 0 No 765 1 Yes 0 Theft of productive resources (what are the main shocks/problems did household 987 -1 1 -1 222 0 No 738 1 Yes 27 Insecurity/violence (what are the main shocks/problems did households in this 987 -1 1 -1 222 0 No 761 1 Yes 4 hailstones (grele) (what are the main shocks/problems did households in this v 987 -1 1 -1 222 0 No 596 1 Yes 169 earthquake (what are the main shocks/problems did households in this village f 987 -1 1 -1 222 0 No 764 1 Yes 1 Volcanic activity (what are the main shocks/problems did households in this vi 987 -1 1 -1 222 0 No 764 1 Yes 1 Other, specify (what are the main shocks/problems did households in this villa 987 -1 1 -1 222 0 No 686 1 Yes 79 Low production from last season (What are the major community development constr 987 0 1 0 No 629 1 Yes 358 Not enough supply (not enough food available on market (What are the major commu 987 0 1 0 No 813 1 Yes 174 Not enough demand (can't sell crops at market) (What are the major community dev 987 0 1 0 No 823 1 Yes 164 Loss/reduction of employment of household (What are the major community develop 987 0 1 0 No 568 1 Yes 419 Reduction of income of household members (What are the major community developme 987 0 1 0 No 820 1 Yes 167 High market prices for non-food items (What are the major community development 987 0 1 0 No 707 1 Yes 280 Unusually high food prices (What are the major community development constraints 987 0 1 0 No 826 1 Yes 161 Insecurity/unrest/Violence (What are the major community development constraints 987 0 1 0 No 960 1 Yes 27 Market too far (What are the major community development constraints facing this 987 0 1 0 No 505 1 Yes 482 Bad road to market (What are the major community development constraints facing 987 0 1 0 No 713 1 Yes 274