Comprehensive Food Security and Vulnerability Analysis 2024 RWA-NISR-CFSVA-2024-v01 National Institute of Statistics of Rwanda(NISR) National Institute of Statistics of Rwanda World Food Programme © National Institute of Statistics of Rwanda, 2024 2025-08-07 Nesstar Publisher Comprehensive Food Security and Vulnerability Analysis 2024 Comprehensive Food Security and Vulnerability Analysis 2024 RWA-NISR-CFSVA-2024-v01 National Institute of Statistics of Rwanda(NISR) National Institute of Statistics of Rwanda World Food Programme 2025-08-07 Nesstar Publisher Government of Rwanda European Union USAID UNICEF WFP Version 0.1 Edited, Anonymized dataset for public use RWANDA National coverage Household and individual Household members 2024 Face-to-face [f2f] CFSVA2024_HH.NSDstat 9000 1068 Nesstar 200801 CFSVA2024_HH_CHILD_6_59_MONTHS.NSDstat 4715 107 Nesstar 200801 CFSVA2024_HH_WOMEN_15_49_YEARS.NSDstat 6891 69 Nesstar 200801 _index 9000 0 1 9000 4500.5 2598.221 S0_B_DATE Interview date 9000 2024-04-26 2024-06-02 2024-04-26 243 2024-04-27 255 2024-04-28 239 2024-04-29 287 2024-04-30 261 2024-05-01 280 2024-05-02 237 2024-05-03 282 2024-05-04 244 2024-05-05 266 2024-05-06 205 2024-05-07 276 2024-05-08 258 2024-05-09 273 2024-05-10 250 2024-05-11 272 2024-05-12 100 2024-05-13 262 2024-05-14 258 2024-05-15 236 2024-05-16 271 2024-05-17 248 2024-05-18 273 2024-05-19 223 2024-05-20 265 2024-05-21 251 2024-05-22 298 2024-05-23 252 2024-05-24 222 2024-05-25 238 2024-05-26 109 2024-05-27 229 2024-05-28 269 2024-05-29 208 2024-05-30 231 2024-05-31 215 2024-06-01 202 2024-06-02 12 S0_C_Prov Province 9000 0 1 5 1 Kigali city 900 2 Southern 2400 3 Western 2100 4 Northern 1500 5 Eastern 2100 S0_D_Dist District 9000 0 11 57 11 Nyarugenge 300 12 Gasabo 300 13 Kicukiro 300 21 Nyanza 300 22 Gisagara 300 23 Nyaruguru 300 24 Huye 300 25 Nyamagabe 300 26 Ruhango 300 27 Muhanga 300 28 Kamonyi 300 31 Karongi 300 32 Rutsiro 300 33 Rubavu 300 34 Nyabihu 300 35 Ngororero 300 36 Rusizi 300 37 Nyamasheke 300 41 Rulindo 300 42 Gakenke 300 43 Musanze 300 44 Burera 300 45 Gicumbi 300 51 Rwamagana 300 52 Nyagatare 300 53 Gatsibo 300 54 Kayonza 300 55 Kirehe 300 56 Ngoma 300 57 Bugesera 300 Urban or Rural 9000 0 1 2 1 Urban 2410 2 Rural 6590 Final Weight 9000 0 117.997 1268.309 375.115 135.408 S0_Consent Do you agree to be interviewed? 9000 0 1 1 0 No 0 1 Yes 9000 Respondent Gender 9000 0 1 2 1 Male 3126 2 Female 5874 S1_01 How many members does your household have? 9000 0 1 16 4.239 2.022 S1_01_3 What is the gender of [HH Head]? 9000 0 1 2 1 Male 6607 2 Female 2393 S1_01_4 How old is [HH Head] 9000 0 18 104 46.395 15.811 S1_01_5 Does [HH Head] have birth card(Vaccination card) for proper DOB and othe 0 9000 0 No 1 Yes S1_01_5_2 if [HH Head] is [Years] years old, please indicate his/her exact date 0 S1_01_7 Can [HH Head] read and write? 9000 0 0 2 0 No 2515 1 Yes (both read and write) 6173 2 Yes (read only) 312 S1_01_8 What is [HH Head]'s level of education? 9000 0 1 88 1 No school 2056 2 Some/still primary 2858 3 Completed primary 2111 4 Vocational school 112 5 Some/still secondary 789 6 Completed secondary 551 7 Some/still university 103 8 Completed university 287 88 Don't know 133 S1_01_9 Does [HH Head] have any disability? 9000 0 0 1 0 No 8621 1 Yes 379 S1_01_9_1/Seeing 379 8621 0 1 0.174 0.38 S1_01_9_1/Hearing 379 8621 0 1 0.1 0.301 S1_01_9_1/Walking 379 8621 0 1 0.586 0.493 S1_01_9_1/Speaking 379 8621 0 1 0.0449 0.207 S1_01_9_1/Concentration 379 8621 0 1 0.0871 0.282 S1_01_9_1/Cognitive or Learning Disabilities 379 8621 0 1 0.127 0.333 S1_01_9_1/Short 379 8621 0 1 0.00264 0.0514 S1_01_9_1/Albinos 379 8621 0 1 0.00264 0.0514 S1_01_10 What's is [HH Head] marital status? 9000 0 1 6 1 Married 4412 2 Partner 1812 3 Divorced 292 4 Separated 280 5 Widow/Widower 1444 6 Never married (single) 760 S1_01_11 How many spouses or partners does [HH Head] have? 6031 2969 1 68 1.055 0.893 S1_01_12 Is [HH Head] currently attending primary school? 0 9000 0 No 1 Yes S1_01_13 Did [HH Head] miss school for one week or more since january this year 0 9000 0 No 1 Yes S1_01_14/Sickness 0 9000 S1_01_14/Working for cash (either sent or chose to) 0 9000 S1_01_14/housework (cooking, fetching water and more) 0 9000 S1_01_14/Taking care of siblings 0 9000 S1_01_14/The school is far from home 0 9000 S1_01_14/No school fees 0 9000 S1_01_14/Refused to go 0 9000 S1_01_14/Lack of school materials 0 9000 S1_01_14/Other reasons 0 9000 S1_01_15/Agricultural Production (On Own Farm/Land Or On Other Farm/Land With or 9000 0 0 1 0.606 0.489 S1_01_15/Daily Labour Agricultural Work (On Others Farm For In Kind Or Cash Comp 9000 0 0 1 0.232 0.422 S1_01_15/Livestock Raising For Sales 9000 0 0 1 0.237 0.425 S1_01_15/Fishing, Hunting, Gathering 9000 0 0 1 0.00478 0.069 S1_01_15/Unskilled Daily Labour (Non Agricultural) 9000 0 0 1 0.154 0.361 S1_01_15/Skilled Labour 9000 0 0 1 0.0216 0.145 S1_01_15/Purchase and Sale Of Product From Fishing, Hunting Gathering 9000 0 0 1 0.00122 0.0349 S1_01_15/Purchase And Sale Of Agricultural Products 9000 0 0 1 0.011 0.104 S1_01_15/Purchase And Sale Of Livestock Products 9000 0 0 1 0.00278 0.0526 S1_01_15/Purchase And Sale Of Livestock 9000 0 0 1 0.00167 0.0408 S1_01_15/Informal Sale/Petty Trade 9000 0 0 1 0.0487 0.215 S1_01_15/Handicrafts/Artisanal Work 9000 0 0 1 0.028 0.165 S1_01_15/Transport 9000 0 0 1 0.0272 0.163 S1_01_15/Salaried 9000 0 0 1 0.0819 0.274 S1_01_15/Pension 9000 0 0 1 0.00644 0.08 S1_01_15/Own Business/Self Employed 9000 0 0 1 0.0294 0.169 S1_01_15/Vup Public Works 9000 0 0 1 0.0109 0.104 S1_01_15/Begging 9000 0 0 1 0.00444 0.0665 S1_01_15/Aquaculture 9000 0 0 1 0.000333 0.0183 S1_01_15/Bee keeping 9000 0 0 1 0.000778 0.0279 S1_01_15/Other 9000 0 0 1 0.0256 0.158 S1_01_15/None 9000 0 0 1 0.0299 0.17 S1_01_15_2 Does [HH Head]'s income contribute to the household living basket? 8731 269 0 1 0 No 90 1 Yes 8641 S1_01_16 Is [HH Head] currently a member of any association or cooperative? 9000 0 0 1 0 No 4567 1 Yes 4433 S1_01_16_2 Does [HH Head] hold any manegerial role in that cooperative or associ 4433 4567 0 1 0 No 3625 1 Yes 808 S1_01_17 Does [HH Head] hold any managerial roles in the community you live in? 9000 0 0 1 0 No 8331 1 Yes 669 Total active members(15-65 years who don't have disability) 9000 0 0 10 2.051 1.183 Total inactive members(less than 15 or 65 and above or have disability) 9000 0 0 10 2.188 1.48 a HH member has disability 9000 0 0 1 0 No 8235 1 Yes 765 Total disabled members 9000 0 0 16 4.146 2.029 Total disabled members 9000 0 0 5 0.0938 0.323 Total Active and Working members 9000 0 0 7 1.88 1.02 Total active and Working and contributing to HH basket 9000 0 0 6 1.626 0.841 Contributing ratio 8376 624 0 1 0.899 0.21 S2_01 Roof 9000 0 1 6 1 Straw/Thatch Leaves Grass 57 2 Metal sheet corrugated iron 6553 3 Clay Tiles 2384 4 Cement/Concrete 2 5 Wood/bamboo 1 6 Other 3 S2_02 Floor 9000 0 1 7 1 Earth/Mud 5377 2 Cement concrete 3291 3 Hardened Dung 13 4 CLAY TILES 253 5 Wood 0 6 Bricks 54 7 Other 12 S2_03 Wall 9000 0 1 21 1 Mud bricks 2320 2 Mud bricks covered with cement 4315 3 Tree trunks with mud 1405 4 tree trunks with mud and cement 507 5 Oven fired bricks and or Cement made bricks 376 6 Trees only 50 7 Stones 17 21 Other 10 S2_04 Is the house your household is living in located in a umudugudu new recomm 9000 0 1 3 1 Yes, it's in the umudugudu 4930 2 No, this is town 1082 3 No, it's not in umudugu 2988 S2_04_2 If YEs, Since how long have you been living there? 4930 4070 1 4 1 since <3months 92 2 Yes, between 3 and less than 6 months 183 3 Yes, Between 6 months and 1 year 233 4 Yes, More than 1 year 4422 S2_05 What is your occupancy status in this house? 9000 0 1 3 1 Owner 6824 2 Rented 1717 3 Free of charge (not owner) 459 S2_06 How many sleeping rooms does the house you are living in have? 9000 0 0 8 2.365 0.98 S2_07 What kind of toilet facility does your household use here in your househol 9000 0 1 6 1 Flush latrine 230 2 Pit latrine (floor, walls and roof) 7047 3 Pit latrine (floor, walls without roof) 1095 4 Pit latrine (floor, without walls and roof) 277 5 Pit latrine (no floor, walls or roof 120 6 None (bush, stream or neighbours) 231 S2_07_2 If your household does not have its own toilet facility, then what do yo 231 8769 1 3 1 Borrow from neighbors, 221 2 Public latrines, 3 3 Bush or stream or other inappropriate places 7 S2_07_3 Do you share the toilet facility with other households? 8769 231 0 1 0 No 7067 1 Yes 1702 S2_08 What is the main source of lighting for this house? 9000 0 0 8 0 No lighting 55 1 Electricity 4382 2 Kerosene, oil or gas lamp 27 3 Lantern 57 4 Battery flashlights 2218 5 Candles 74 6 Firewood 127 7 Solar energy 1917 8 Others, 143 S2_09 What fuel do you use most often for cooking? 9000 0 1 8 1 Gas 307 2 Electricity 61 3 Firewood 7107 4 Charcoal 1432 5 Kerosene 0 6 Bio-gas 2 7 Crop waste/animal dung 48 8 Other 43 S2_09_2 What the cooking facilities you normally use? 7670 1330 1 21 1 Traditional firewood 5323 2 Firewood stove 828 3 Charcoal stove 1210 4 Gas stove 245 5 Electric stove 3 6 Electric Pressure Cooker 0 21 Other electric 61 S2_09_2/Traditional firewood 9000 0 0 1 0 No 2580 1 Yes 6420 S2_09_2/Firewood stove 9000 0 0 1 0 No 7172 1 Yes 1828 S2_09_2/Charcoal stove 9000 0 0 1 0 No 7361 1 Yes 1639 S2_09_2/Gas stove 9000 0 0 1 0 No 8572 1 Yes 428 S2_09_2/Electric stove 9000 0 0 1 0 No 8992 1 Yes 8 S2_09_2/Electric Pressure Cooker 9000 0 0 0 0 No 9000 1 Yes 0 S2_09_2/Other electric 9000 0 0 1 0 No 8934 1 Yes 66 S2_10 What is the current main source of water that your household use? 9000 0 1 9 1 Public tap/ piped water 2906 2 Water tap at home 1385 3 Pond, lake, river or stream 931 4 Borehole with pump 2602 5 Rain water 123 6 Protected dug well or spring 186 7 Unprotected well or spring 764 8 Vendor 68 9 Other 35 S2_10_2 Do your household pay for water from this current main source? 9000 0 0 1 0 No 4916 1 Yes 4084 S2_10_3 How do you or your household members go to this main source of water? 7492 1508 1 5 1 Walk 7291 2 Bicycle 124 3 Motorbike/vehicle 0 4 Hire someone for that 66 5 Other 11 S2_10_4 How far is this main source of water (count in minutes, the time it take 7492 1508 0 305 18.536 17.63 S2_11 Is there a time in the year when your household uses an alternate source o 9000 0 0 1 0 No, this is the only source we use 5081 1 Yes, we do have another source 3919 S2_11_2 What is the main alternative source of water that your household use? 3919 5081 1 9 1 Public tap/ piped water 555 2 Water tap at home 51 3 Pond, lake, river or stream 404 4 Borehole with pump 455 5 Rain water 2103 6 Protected dug well or spring 41 7 Unprotected well or spring 211 8 Vendor 71 9 Other 28 S2_11_3 Does your household pay for this alternate source of water? 3919 5081 0 1 0 No 3164 1 Yes 755 S2_11_4 How do you or your household members go to your alternate source of wate 1765 7235 1 4 1 Walk 1663 2 Bicycle 60 3 Motorbike/vehicle 6 4 Hire someone for that 36 5 Other 0 S2_11_5 How far is this alternate source of water (count in minutes, the time it 1765 7235 0 180 23.686 22.647 S2_12 What does your household normally do to treat its water prior to drinking? 9000 0 1 7 1 Boil 3039 2 Strained through cloth 11 3 Ceramic, sand or other filter 140 4 Purifying tablets/bleach chlorine 67 5 Sedimentation 85 6 Nothing is done 5425 7 We buy treated water 233 S2_13 On average, how many liters of water does your household use per day? (mak 9000 0 0 60000 56.546 667.829 S2_13_2 For data quality purposes, repeat the previoius amount 9000 0 0 60000 56.546 667.829 S3_01 All activities reported by household members in the demographic section 3662 5338 1 21 0 None 0 1 Agricultural Production (On Own Farm/Land Or On Other Farm/L 1467 2 Daily Labour Agricultural Work (On Others Farm For In Kind O 551 3 Livestock Raising For Sales 10 4 Fishing, Hunting, Gathering 9 5 Unskilled Daily Labour (Non Agricultural) 516 6 Skilled Labour 80 7 Purchase and Sale Of Product From Fishing, Hunting Gathering 6 8 Purchase And Sale Of Agricultural Products 22 9 Purchase And Sale Of Livestock Products 0 10 Purchase And Sale Of Livestock 0 11 Informal Sale/Petty Trade 183 12 Handicrafts/Artisanal Work 74 13 Transport 96 14 Salaried 386 15 Pension 14 16 Own Business/Self Employed 90 17 Vup Public Works 14 18 Begging 15 19 Aquaculture 0 20 Bee keeping 0 21 Other 129 S3_01/Agricultural Production (On Own Farm/Land Or On Other Farm/Land With or wi 9000 0 0 1 0 No 3007 1 Yes 5993 S3_01/Daily Labour Agricultural Work (On Others Farm For In Kind Or Cash Compens 9000 0 0 1 0 No 6358 1 Yes 2642 S3_01/Livestock Raising For Sales 9000 0 0 1 0 No 6708 1 Yes 2292 S3_01/Fishing, Hunting, Gathering 9000 0 0 1 0 No 8945 1 Yes 55 S3_01/Unskilled Daily Labour (Non Agricultural) 9000 0 0 1 0 No 7339 1 Yes 1661 S3_01/Skilled Labour 9000 0 0 1 0 No 8744 1 Yes 256 S3_01/Purchase and Sale Of Product From Fishing, Hunting Gathering 9000 0 0 1 0 No 8987 1 Yes 13 S3_01/Purchase And Sale Of Agricultural Products 9000 0 0 1 0 No 8820 1 Yes 180 S3_01/Purchase And Sale Of Livestock Products 9000 0 0 1 0 No 8971 1 Yes 29 S3_01/Purchase And Sale Of Livestock 9000 0 0 1 0 No 8991 1 Yes 9 S3_01/Informal Sale/Petty Trade 9000 0 0 1 0 No 8226 1 Yes 774 S3_01/Handicrafts/Artisanal Work 9000 0 0 1 0 No 8634 1 Yes 366 S3_01/Transport 9000 0 0 1 0 No 8711 1 Yes 289 S3_01/Salaried 9000 0 0 1 0 No 8055 1 Yes 945 S3_01/Pension 9000 0 0 1 0 No 8943 1 Yes 57 S3_01/Own Business/Self Employed 9000 0 0 1 0 No 8670 1 Yes 330 S3_01/Vup Public Works 9000 0 0 1 0 No 8883 1 Yes 117 S3_01/Begging 9000 0 0 1 0 No 8959 1 Yes 41 S3_01/Aquaculture 9000 0 0 1 0 No 8999 1 Yes 1 S3_01/Bee keeping 9000 0 0 1 0 No 8994 1 Yes 6 S3_01/Other 9000 0 0 1 0 No 8756 1 Yes 244 S3_01/None 9000 0 0 0 0 No 9000 1 Yes 0 S3_02 Main activity 9000 0 1 23 0 None 0 1 Agricultural Production (On Own Farm/Land Or On Other Farm/L 4517 2 Daily Labour Agricultural Work (On Others Farm For In Kind O 1459 3 Livestock Raising For Sales 82 4 Fishing, Hunting, Gathering 25 5 Unskilled Daily Labour (Non Agricultural) 891 6 Skilled Labour 143 7 Purchase and Sale Of Product From Fishing, Hunting Gathering 7 8 Purchase And Sale Of Agricultural Products 69 9 Purchase And Sale Of Livestock Products 8 10 Purchase And Sale Of Livestock 0 11 Informal Sale/Petty Trade 355 12 Handicrafts/Artisanal Work 160 13 Transport 186 14 Salaried 671 15 Pension 27 16 Own Business/Self Employed 202 17 Vup Public Works 56 18 Begging 22 19 Aquaculture 0 20 Bee keeping 1 21 Other 10 22 Remittances From Friends And Relatives 88 23 Vup Direct Transfers And Other Social Transfers 21 S3_02_2 Using proportional piling or 'divide the pie' methods, please estimate t 9000 0 35 100 80.423 19.168 Is this livelihood activity seasonal? 9000 0 0 1 0 No, it continuous throughout the year 5852 1 Yes, it's seasonal 3148 S3_02_3 During which months of the year is this activity important for your hous 334 8666 1 13 1 January 16 2 February 51 3 March 4 4 April 7 5 May 7 6 June 14 7 July 9 8 August 8 9 September 22 10 October 0 11 November 1 12 December 10 13 Random 185 S3_02_3/January 3148 5852 0 1 0 No 1810 1 Yes 1338 S3_02_3/February 3148 5852 0 1 0 No 1389 1 Yes 1759 S3_02_3/March 3148 5852 0 1 0 No 2266 1 Yes 882 S3_02_3/April 3148 5852 0 1 0 No 2552 1 Yes 596 S3_02_3/May 3148 5852 0 1 0 No 2372 1 Yes 776 S3_02_3/June 3148 5852 0 1 0 No 2111 1 Yes 1037 S3_02_3/July 3148 5852 0 1 0 No 2308 1 Yes 840 S3_02_3/August 3148 5852 0 1 0 No 2596 1 Yes 552 S3_02_3/September 3148 5852 0 1 0 No 2110 1 Yes 1038 S3_02_3/October 3148 5852 0 1 0 No 2587 1 Yes 561 S3_02_3/November 3148 5852 0 1 0 No 2674 1 Yes 474 S3_02_3/December 3148 5852 0 1 0 No 2163 1 Yes 985 S3_02_3/Random 3148 5852 0 1 0 No 2963 1 Yes 185 S3_03 Second activity 5338 3662 1 23 0 None 0 1 Agricultural Production (On Own Farm/Land Or On Other Farm/L 1255 2 Daily Labour Agricultural Work (On Others Farm For In Kind O 961 3 Livestock Raising For Sales 1369 4 Fishing, Hunting, Gathering 18 5 Unskilled Daily Labour (Non Agricultural) 576 6 Skilled Labour 83 7 Purchase and Sale Of Product From Fishing, Hunting Gathering 4 8 Purchase And Sale Of Agricultural Products 74 9 Purchase And Sale Of Livestock Products 15 10 Purchase And Sale Of Livestock 8 11 Informal Sale/Petty Trade 329 12 Handicrafts/Artisanal Work 138 13 Transport 68 14 Salaried 204 15 Pension 22 16 Own Business/Self Employed 121 17 Vup Public Works 44 18 Begging 13 19 Aquaculture 0 20 Bee keeping 2 21 Other 1 22 Remittances From Friends And Relatives 19 23 Vup Direct Transfers And Other Social Transfers 14 S3_03_2 Using proportional piling or 'divide the pie' methods, please estimate t 5338 3662 1 50 28.513 10.988 Is this livelihood activity seasonal? 5338 3662 0 1 0 No, it continuous throughout the year 4001 1 Yes, it's seasonal 1337 S3_03_3 During which months of the year is this activity important for your hous 251 8749 1 13 1 January 2 2 February 8 3 March 2 4 April 3 5 May 5 6 June 4 7 July 8 8 August 7 9 September 17 10 October 2 11 November 2 12 December 4 13 Random 187 S3_03_3/January 1337 7663 0 1 0 No 867 1 Yes 470 S3_03_3/February 1337 7663 0 1 0 No 735 1 Yes 602 S3_03_3/March 1337 7663 0 1 0 No 952 1 Yes 385 S3_03_3/April 1337 7663 0 1 0 No 1078 1 Yes 259 S3_03_3/May 1337 7663 0 1 0 No 1050 1 Yes 287 S3_03_3/June 1337 7663 0 1 0 No 975 1 Yes 362 S3_03_3/July 1337 7663 0 1 0 No 990 1 Yes 347 S3_03_3/August 1337 7663 0 1 0 No 1103 1 Yes 234 S3_03_3/September 1337 7663 0 1 0 No 862 1 Yes 475 S3_03_3/October 1337 7663 0 1 0 No 1055 1 Yes 282 S3_03_3/November 1337 7663 0 1 0 No 1139 1 Yes 198 S3_03_3/December 1337 7663 0 1 0 No 974 1 Yes 363 S3_03_3/Random 1337 7663 0 1 0 No 1150 1 Yes 187 S3_04 Third activity 1696 7304 1 23 0 None 0 1 Agricultural Production (On Own Farm/Land Or On Other Farm/L 209 2 Daily Labour Agricultural Work (On Others Farm For In Kind O 183 3 Livestock Raising For Sales 738 4 Fishing, Hunting, Gathering 9 5 Unskilled Daily Labour (Non Agricultural) 203 6 Skilled Labour 22 7 Purchase and Sale Of Product From Fishing, Hunting Gathering 1 8 Purchase And Sale Of Agricultural Products 28 9 Purchase And Sale Of Livestock Products 3 10 Purchase And Sale Of Livestock 0 11 Informal Sale/Petty Trade 84 12 Handicrafts/Artisanal Work 56 13 Transport 31 14 Salaried 59 15 Pension 8 16 Own Business/Self Employed 33 17 Vup Public Works 14 18 Begging 6 19 Aquaculture 0 20 Bee keeping 2 21 Other 1 22 Remittances From Friends And Relatives 3 23 Vup Direct Transfers And Other Social Transfers 3 S3_04_2 Using proportional piling or 'divide the pie' methods, please estimate t 1696 7304 1 30 14.148 6.782 Is this livelihood activity seasonal? 1696 7304 0 1 0 No, it continuous throughout the year 1403 1 Yes, it's seasonal 293 S3_04_3 During which months of the year is this activity important for your hous 77 8923 2 13 1 January 0 2 February 1 3 March 1 4 April 1 5 May 1 6 June 2 7 July 2 8 August 0 9 September 4 10 October 0 11 November 0 12 December 2 13 Random 63 S3_04_3/January 293 8707 0 1 0 No 200 1 Yes 93 S3_04_3/February 293 8707 0 1 0 No 173 1 Yes 120 S3_04_3/March 293 8707 0 1 0 No 206 1 Yes 87 S3_04_3/April 293 8707 0 1 0 No 241 1 Yes 52 S3_04_3/May 293 8707 0 1 0 No 233 1 Yes 60 S3_04_3/June 293 8707 0 1 0 No 220 1 Yes 73 S3_04_3/July 293 8707 0 1 0 No 212 1 Yes 81 S3_04_3/August 293 8707 0 1 0 No 234 1 Yes 59 S3_04_3/September 293 8707 0 1 0 No 190 1 Yes 103 S3_04_3/October 293 8707 0 1 0 No 238 1 Yes 55 S3_04_3/November 293 8707 0 1 0 No 251 1 Yes 42 S3_04_3/December 293 8707 0 1 0 No 235 1 Yes 58 S3_04_3/Random 293 8707 0 1 0 No 230 1 Yes 63 S3_05 Approximately, how much money did your household earn during the last mont 9000 0 0 16000000 68531.535 292717.16 S3_05_2 For quality check, please repeat the previous amount 8613 387 0 16000000 71607.34 298853.935 S4_01 Does your household own farming land including pastures for livestock? 9000 0 0 1 0 No 3799 1 Yes 5201 S4_01_2 How big is that land that your household own? 5201 3799 1 7 1 less that 1000 sqm (<0.1 ha) 2049 2 Between 1000 and 2000sqm (0.1 < 0.2 ha) 1339 3 Between 2000 and 5000sqm (0.2 <0.5 ha) 967 4 Between 5000 and 10,000sqm (0.5 < 1ha) 578 5 Between 10,000 and 20,000sqm (1 < 2 ha) 211 6 Between 20,000 and 50,000sqm (2 < 5 ha) 47 7 50,000sqm and above (5 ha and above) 10 S4_01_3 In how many plots is that land allocated? 5201 3799 0 100 3.289 9.298 S4_02_1 Do you ever practice "share cropping" on the farming land that your hous 5201 3799 0 1 0 No 4461 1 Yes 740 S4_02_2 Is "land consolidation program" applied on any portion of the land that 5201 3799 0 1 0 No 4611 1 Yes 590 Consolidated land percentage 586 8414 0 100 61.539 30.868 S4_02_3 Is the faming land that your household owns protected against soil erosi 5201 3799 0 1 0 No 1515 1 Yes 3686 S4_02_4 Is any portion of the land that your household owns irrigated? 5201 3799 0 1 0 No 4544 1 Yes 657 S4_03 Does your household have a vegetable plot /garden? 9000 0 0 1 0 No 4264 1 Yes 4736 S4_03_2 Are you currently growing any food in that vegetable garden? 4736 4264 0 1 0 No 694 1 Yes 4042 S4_03_3 Is the food that you usually grow in that garden mainly used for househo 4736 4264 1 3 1 HH Consumption 4558 2 Income generating 11 3 Both (consumption and income) 167 S4_04 Which of the following items does your houeshold own? 801 8199 1 88 1 Hoe 449 2 Shovel 4 3 Rake 2 4 Spade 1 5 Pick 2 6 Wheel barrow 0 7 Plough/Ox Plough 0 8 Grinding Mill 0 9 Oil press 0 10 Sewing machine 1 11 Ironing machine 0 12 Radio (only) 8 13 Tape/CD player 0 14 Tv 0 15 Fridge 0 16 Cooker (gas or electrical) 0 17 Mobile phone 192 18 Living room suite (chairs/sofa) 18 19 Bed 16 20 Bicycle 3 21 Motorized Vehicle of any kind 0 22 Fishing boat / canoe 0 88 None 105 S4_04/Hoe 9000 0 0 1 0 No 1487 1 Yes 7513 S4_04/Shovel 9000 0 0 1 0 No 6979 1 Yes 2021 S4_04/Rake 9000 0 0 1 0 No 8718 1 Yes 282 S4_04/Spade 9000 0 0 1 0 No 8868 1 Yes 132 S4_04/Pick 9000 0 0 1 0 No 8283 1 Yes 717 S4_04/Wheel barrow 9000 0 0 1 0 No 8782 1 Yes 218 S4_04/Plough/Ox Plough 9000 0 0 1 0 No 8992 1 Yes 8 S4_04/Grinding Mill 9000 0 0 1 0 No 8975 1 Yes 25 S4_04/Oil press 9000 0 0 1 0 No 8983 1 Yes 17 S4_04/Sewing machine 9000 0 0 1 0 No 8787 1 Yes 213 S4_04/Ironing machine 9000 0 0 1 0 No 7708 1 Yes 1292 S4_04/Radio (only) 9000 0 0 1 0 No 5446 1 Yes 3554 S4_04/Tape/CD player 9000 0 0 1 0 No 8399 1 Yes 601 S4_04/Tv 9000 0 0 1 0 No 7870 1 Yes 1130 S4_04/Fridge 9000 0 0 1 0 No 8797 1 Yes 203 S4_04/Cooker (gas or electrical) 9000 0 0 1 0 No 8445 1 Yes 555 S4_04/Mobile phone 9000 0 0 1 0 No 1835 1 Yes 7165 S4_04/Living room suite (chairs/sofa) 9000 0 0 1 0 No 2903 1 Yes 6097 S4_04/Bed 9000 0 0 1 0 No 3017 1 Yes 5983 S4_04/Bicycle 9000 0 0 1 0 No 7758 1 Yes 1242 S4_04/Motorized Vehicle of any kind 9000 0 0 1 0 No 8726 1 Yes 274 S4_04/Fishing boat / canoe 9000 0 0 1 0 No 8989 1 Yes 11 S4_04/None 9000 0 0 1 0 No 8895 1 Yes 105 S4_05 Which of the following animals does your household own or manage? 6541 2459 1 88 1 Cattle 1113 2 Goats 614 3 Pigs 423 4 Sheep 172 5 Chicken 243 6 Ducks and other poultry 5 7 Rabbits 71 8 Other animals 17 88 No animal is owned 3883 S4_05/Cattle 9000 0 0 1 0 No 6031 1 Yes 2969 S4_05/Goats 9000 0 0 1 0 No 7071 1 Yes 1929 S4_05/Pigs 9000 0 0 1 0 No 7415 1 Yes 1585 S4_05/Sheep 9000 0 0 1 0 No 8442 1 Yes 558 S4_05/Chicken 9000 0 0 1 0 No 7722 1 Yes 1278 S4_05/Ducks and other poultry 9000 0 0 1 0 No 8935 1 Yes 65 S4_05/Rabbits 9000 0 0 1 0 No 8641 1 Yes 359 S4_05/Other animals 9000 0 0 1 0 No 8949 1 Yes 51 S4_05/No animal is owned 9000 0 0 1 0 No 5117 1 Yes 3883 AS4_06 How many Cattle is your household currently rearing? 2969 6031 1 30 1.415 1.264 AS4_06_3 How many of these [number] cattle does your household manage for others 2969 6031 0 30 0.447 0.948 BS4_06 How many Goats is your household currently rearing? 1929 7071 1 45 2.267 1.943 BS4_06_3 How many of these [number] goats does your household manage for others? 1929 7071 0 8 0.687 1.063 CS4_06 How many Pigs is your household currently rearing? 1585 7415 1 50 1.533 2.057 CS4_06_3 How many of these [number] pigs does your household manage for others? 1585 7415 0 20 0.361 0.817 DS4_06 How many Sheep is your household currently rearing? 558 8442 1 10 2.023 1.331 DS4_06_3 How many of these [number] sheep does your household manage for others? 558 8442 0 6 0.398 0.86 ES4_06 How many Chicken is your household currently rearing? 1278 7722 1 2000 7.336 65.197 ES4_06_3 How many of these [number] chicken does your household manage for other 1278 7722 0 50 0.285 1.701 FS4_06 How many Ducks and other poultry is your household currently rearing? 65 8935 1 16 3.8 3.483 FS4_06_3 How many of these [number] ducks and other poultry your household manag 65 8935 0 5 0.185 0.808 GS4_06 How many Rabbits is your household currently rearing? 359 8641 1 50 3.858 4.225 GS4_06_3 How many of these [number] rabbits does your household manage for other 359 8641 0 8 0.214 0.876 HS4_06 How many [name of Other] is your household currently rearing? 51 8949 1 20 7.255 6.219 HS4_06_3 How many of these [number] [other] does your household manage for other 51 8949 0 4 0.176 0.713 S4_07 During the last 30 days, did your household consume any product from the a 5117 3883 0 88 0 No 3948 1 Yes 1167 88 Don't know 2 S4_08_2 During the last month, did your household sell any product from the anim 5117 3883 0 88 0 No 4451 1 Yes 664 88 Don't know 2 S4_08_2_1 How much money did your household make from the total income from live 664 8336 0 2000000 40880.148 143006.747 S4_09 During the last 12 months, which animal health services did your household 4131 4869 0 5 0 None 2251 1 Treatment of diseases 1154 2 Vaccination 640 3 Artificial insemination 62 4 Heat synchronization and induction in cattle 18 5 Pregnancy detection 6 S4_09/Treatment of diseases 5117 3883 0 1 0 No 3036 1 Yes 2081 S4_09/Vaccination 5117 3883 0 1 0 No 3562 1 Yes 1555 S4_09/Artificial insemination 5117 3883 0 1 0 No 4839 1 Yes 278 S4_09/Heat synchronization and induction in cattle 5117 3883 0 1 0 No 5045 1 Yes 72 S4_09/Pregnancy detection 5117 3883 0 1 0 No 5066 1 Yes 51 S4_09/None 5117 3883 0 1 0 No 2866 1 Yes 2251 S4_09_2 Did your household have to pay to get these services? 2243 6757 0 5 0 None 307 1 Treatment of diseases 1424 2 Vaccination 418 3 Artificial insemination 71 4 Heat synchronization and induction in cattle 19 5 Pregnancy detection 4 S4_09_2/Treatment of diseases 2866 6134 0 1 0 No 852 1 Yes 2014 S4_09_2/Vaccination 2866 6134 0 1 0 No 1922 1 Yes 944 S4_09_2/Artificial insemination 2866 6134 0 1 0 No 2619 1 Yes 247 S4_09_2/Heat synchronization and induction in cattle 2866 6134 0 1 0 No 2806 1 Yes 60 S4_09_2/Pregnancy detection 2866 6134 0 1 0 No 2831 1 Yes 35 S4_09_2/None 2866 6134 0 1 0 No 2559 1 Yes 307 S4_09_3 How Is easy was it for your household to access these animal health serv 2866 6134 1 3 1 Very easy 850 2 Easy 1468 3 Not easy 548 S4_09_4 What was hard in accessing these services? 464 8536 0 3 0 Others 18 1 Distance to access VET services 121 2 High price 306 3 The frequency of the Service provider's visits(Extension ser 19 S4_09_4/Distance to access VET services 548 8452 0 1 0 No 364 1 Yes 184 S4_09_4/High price 548 8452 0 1 0 No 173 1 Yes 375 S4_09_4/The frequency of the Service provider's visits(Extension service) 548 8452 0 1 0 No 488 1 Yes 60 S4_09_4/Others 548 8452 0 1 0 No 526 1 Yes 22 S4_11 What means of transport you own in this household 8929 71 1 7 1 bicycle 1195 2 moto 172 3 car 68 4 truck 1 5 Locally fabricated mean 1 6 None 7490 7 Others 2 S4_11/bicycle 9000 0 0 1 0 No 7743 1 Yes 1257 S4_11/moto 9000 0 0 1 0 No 8774 1 Yes 226 S4_11/car 9000 0 0 1 0 No 8905 1 Yes 95 S4_11/truck 9000 0 0 1 0 No 8994 1 Yes 6 S4_11/Locally fabricated mean 9000 0 0 1 0 No 8998 1 Yes 2 S4_11/None 9000 0 0 1 0 No 1510 1 Yes 7490 S4_11/Others 9000 0 0 1 0 No 8998 1 Yes 2 S5_01 Which crops does your household usually grow? 199 8801 12 65 11 Wheat 0 12 Maize 40 13 Sorghum 2 14 Rice 5 15 Other cereals 0 20 Orange fleshed Sweet potatoes 0 21 White fleshed sweet potatoes 14 22 Irish potato 17 23 Cassava 4 24 Taro 2 25 Yam 0 26 Banana cooking 3 27 Other roots and tubers specify:_ 1 31 Tomato 1 32 Cabbage 1 33 Other vegetables 5 41 Banana (wine) 4 42 Banana fruit 3 43 Passion fruit 0 44 Pineapple 1 45 Other fruit specify:______ 0 50 bio-fortified beans 0 51 Beans 88 52 Peas 0 53 Soya 4 54 Ground nuts 1 55 Other pulses, specify:_____ 0 61 Tea 0 62 Coffee 1 63 Tobacco 0 64 Sugar cane 1 65 Other cash crops specify:___ 1 S5_01/Wheat 5993 3007 0 1 0 No 5775 1 Yes 218 S5_01/Maize 5993 3007 0 1 0 No 1973 1 Yes 4020 S5_01/Sorghum 5993 3007 0 1 0 No 5002 1 Yes 991 S5_01/Rice 5993 3007 0 1 0 No 5838 1 Yes 155 S5_01/Other cereals 5993 3007 0 1 0 No 5974 1 Yes 19 S5_01/Orange fleshed Sweet potatoes 5993 3007 0 1 0 No 5595 1 Yes 398 S5_01/White fleshed sweet potatoes 5993 3007 0 1 0 No 2455 1 Yes 3538 S5_01/Irish potato 5993 3007 0 1 0 No 4996 1 Yes 997 S5_01/Cassava 5993 3007 0 1 0 No 3372 1 Yes 2621 S5_01/Taro 5993 3007 0 1 0 No 4761 1 Yes 1232 S5_01/Yam 5993 3007 0 1 0 No 5949 1 Yes 44 S5_01/Banana cooking 5993 3007 0 1 0 No 4692 1 Yes 1301 S5_01/Other roots and tubers specify:_ 5993 3007 0 1 0 No 5960 1 Yes 33 S5_01/Tomato 5993 3007 0 1 0 No 5841 1 Yes 152 S5_01/Cabbage 5993 3007 0 1 0 No 5732 1 Yes 261 S5_01/Other vegetables 5993 3007 0 1 0 No 5325 1 Yes 668 S5_01/Banana (wine) 5993 3007 0 1 0 No 5023 1 Yes 970 S5_01/Banana fruit 5993 3007 0 1 0 No 5182 1 Yes 811 S5_01/Passion fruit 5993 3007 0 1 0 No 5904 1 Yes 89 S5_01/Pineapple 5993 3007 0 1 0 No 5953 1 Yes 40 S5_01/Other fruit specify:______ 5993 3007 0 1 0 No 5781 1 Yes 212 S5_01/bio-fortified beans 5993 3007 0 1 0 No 5917 1 Yes 76 S5_01/Beans 5993 3007 0 1 0 No 427 1 Yes 5566 S5_01/Peas 5993 3007 0 1 0 No 5621 1 Yes 372 S5_01/Soya 5993 3007 0 1 0 No 5175 1 Yes 818 S5_01/Ground nuts 5993 3007 0 1 0 No 5666 1 Yes 327 S5_01/Other pulses, specify:_____ 5993 3007 0 1 0 No 5986 1 Yes 7 S5_01/Tea 5993 3007 0 1 0 No 5937 1 Yes 56 S5_01/Coffee 5993 3007 0 1 0 No 5683 1 Yes 310 S5_01/Tobacco 5993 3007 0 1 0 No 5980 1 Yes 13 S5_01/Sugar cane 5993 3007 0 1 0 No 5824 1 Yes 169 S5_01/Other cash crops specify:___ 5993 3007 0 1 0 No 5944 1 Yes 49 S5_01_2 1st main commodity 5993 3007 11 65 11 Wheat 15 12 Maize 1019 13 Sorghum 68 14 Rice 54 15 Other cereals 1 20 Orange fleshed Sweet potatoes 109 21 White fleshed sweet potatoes 839 22 Irish potato 297 23 Cassava 359 24 Taro 44 25 Yam 0 26 Banana cooking 128 27 Other roots and tubers 6 31 Tomato 11 32 Cabbage 6 33 Other vegetables 26 41 Banana (wine) 127 42 Banana fruit 22 43 Passion fruit 2 44 Pineapple 7 45 Other fruit 2 50 Iron fortified beans 19 51 Beans 2693 52 Peas 4 53 Soya 30 54 Ground nuts 16 55 Other pulses 0 61 Tea 19 62 Coffee 45 63 Tobacco 0 64 Sugar cane 16 65 Other cash crops 9 S5_01_3 2nd main commodity 5794 3206 11 65 11 Wheat 55 12 Maize 1225 13 Sorghum 152 14 Rice 23 15 Other cereals 2 20 Orange fleshed Sweet potatoes 80 21 White fleshed sweet potatoes 985 22 Irish potato 166 23 Cassava 587 24 Taro 97 25 Yam 0 26 Banana cooking 133 27 Other roots and tubers 2 31 Tomato 15 32 Cabbage 11 33 Other vegetables 51 41 Banana (wine) 65 42 Banana fruit 29 43 Passion fruit 3 44 Pineapple 0 45 Other fruit 5 50 Iron fortified beans 8 51 Beans 1912 52 Peas 18 53 Soya 88 54 Ground nuts 32 55 Other pulses 1 61 Tea 3 62 Coffee 23 63 Tobacco 0 64 Sugar cane 2 65 Other cash crops 21 S5_01_4 3rd main commodity 4696 4304 11 65 11 Wheat 57 12 Maize 920 13 Sorghum 245 14 Rice 27 15 Other cereals 3 20 Orange fleshed Sweet potatoes 57 21 White fleshed sweet potatoes 902 22 Irish potato 148 23 Cassava 686 24 Taro 181 25 Yam 4 26 Banana cooking 202 27 Other roots and tubers 4 31 Tomato 17 32 Cabbage 22 33 Other vegetables 84 41 Banana (wine) 113 42 Banana fruit 34 43 Passion fruit 3 44 Pineapple 3 45 Other fruit 14 50 Iron fortified beans 5 51 Beans 684 52 Peas 28 53 Soya 126 54 Ground nuts 58 55 Other pulses 0 61 Tea 8 62 Coffee 47 63 Tobacco 0 64 Sugar cane 7 65 Other cash crops 7 AS5_02 Did your household grow [commodity name] during the season of 2024A? 5993 3007 0 1 0 No 694 1 Yes 5299 AS5_03 How did you acquire seeds for [commodity name]? 5299 3701 1 7 1 Purchase 2323 2 Purchase with Government support 601 3 Exchange with farmers 70 4 Gift from relatives/family 573 5 1647 6 received from NGOs, govt… 22 7 Other 63 AS5_04 What was or will be the expected harvest for [commodity name] during seas 5299 3701 0 20000 214.42 632.768 AS5_04_2 What quantity of your production for this crop did you or plan to direc 5266 3734 0 2500 85.706 118.622 AS5_04_2_2 How long, did or will the stock for this [commodity name] kept for ho 5185 3815 0 20 3.64 2.035 AS5_04_3 What quantity of your production for this crop did you or plan to sell? 5266 3734 0 18000 110.251 558.465 AS5_04_3_2 To whom did you or plan to sell the majority of this [commodity name] 2245 6755 1 8 1 Purchaser in the field 374 2 Trader in the village market 510 3 Trader in the sector market 686 4 Trader in the district market 129 5 Individual consumer, family and relatives 409 6 Cooperative 118 7 International trader 1 8 Other 18 AS5_04_3_2_3 What is the distance in hours to reach the point of sale for the ma 1871 7129 0 1520 35.74 51.333 AS5_04_4 What quantity of your production for this crop did you or plan to keep 5266 3734 0 800 7.705 29.942 AS5_04_5 What quantity of your production for this cop did you or plan to use fo 5266 3734 0 2500 2.154 37.095 AS5_04_6 What quantity of your production for this crop did you or plan to give 5266 3734 0 700 6.835 25.235 AS5_04_7 What quantity of your production for this crop is lost/became spoiled, 5266 3734 0 800 3.094 21.163 AS5_05 Did your household use any chemical fertilizer and/or insecticides for th 5299 3701 0 88 0 No 2944 1 Yes Fertilizer only 1385 2 Yes pesticides only 166 3 Yes both 798 88 Don't know 6 AS5_05_2 How did you acquire these the fetilizer that you used on [commodity nam 2183 6817 1 88 1 Purchase 958 2 Purchase with Government Contribution(Subsidie) 1002 3 Exchange with farmers 18 4 Gift from relatives/family 70 5 received from NGOs, govt… 51 88 Other 84 AS5_05_3 How did you acquire the pestcides that you used on [commodity name] dur 964 8036 1 88 1 Purchase 584 2 Purchase with Government Contribution(Subsidie) 341 3 Exchange with farmers 4 4 Gift from relatives/family 6 5 received from NGOs, govt… 25 88 Other 4 BS5_02 Did your household grow [commodity name] during the season of 2024A? 5794 3206 0 1 0 No 1144 1 Yes 4650 BS5_03 How did you acquire seeds for [commodity name]? 4650 4350 1 7 1 Purchase 1945 2 Purchase with Government support 479 3 Exchange with farmers 54 4 Gift from relatives/family 597 5 1493 6 received from NGOs, govt… 29 7 Other 53 BS5_04 What was or will be the expected harvest for [commodity name] during seas 4650 4350 0 300000 197.164 4409.487 BS5_04_2 What quantity of your production for this crop did you or plan to direc 4562 4438 0 200000 114.357 2962.058 BS5_04_2_2 How long, did or will the stock for this [commodity name] kept for ho 4486 4514 0 20 3.478 2.066 BS5_04_3 What quantity of your production for this crop did you or plan to sell? 4562 4438 0 100000 72.905 1501.153 BS5_04_3_2 To whom did you or plan to sell the majority of this [commodity name] 1666 7334 1 8 1 Purchaser in the field 270 2 Trader in the village market 443 3 Trader in the sector market 564 4 Trader in the district market 84 5 Individual consumer, family and relatives 246 6 Cooperative 48 7 International trader 1 8 Other 10 BS5_04_3_2_3 What is the distance in hours to reach the point of sale for the ma 1396 7604 0 300 35.059 36.875 BS5_04_4 What quantity of your production for this crop did you or plan to keep 4562 4438 0 1000 4.383 20.557 BS5_04_5 What quantity of your production for this cop did you or plan to use fo 4562 4438 0 300 1.346 11.228 BS5_04_6 What quantity of your production for this crop did you or plan to give 4562 4438 0 500 5.457 20.522 BS5_04_7 What quantity of your production for this crop is lost/became spoiled, 4562 4438 0 1000 2.519 21.741 BS5_05 Did your household use any chemical fertilizer and/or insecticides for th 4650 4350 0 88 0 No 2842 1 Yes Fertilizer only 1121 2 Yes pesticides only 122 3 Yes both 563 88 Don't know 2 BS5_05_2 How did you acquire these the fetilizer that you used on [commodity nam 1684 7316 1 88 1 Purchase 723 2 Purchase with Government Contribution(Subsidie) 799 3 Exchange with farmers 15 4 Gift from relatives/family 42 5 received from NGOs, govt… 41 88 Other 64 BS5_05_3 How did you acquire the pestcides that you used on [commodity name] dur 685 8315 1 88 1 Purchase 409 2 Purchase with Government Contribution(Subsidie) 251 3 Exchange with farmers 4 4 Gift from relatives/family 2 5 received from NGOs, govt… 17 88 Other 2 CS5_02 Did your household grow [commodity name] during the season of 2024A? 4696 4304 0 1 0 No 1486 1 Yes 3210 CS5_03 How did you acquire seeds for [commodity name]? 3210 5790 1 7 1 Purchase 1151 2 Purchase with Government support 305 3 Exchange with farmers 35 4 Gift from relatives/family 531 5 1130 6 received from NGOs, govt… 18 7 Other 40 CS5_04 What was or will be the expected harvest for [commodity name] during seas 3210 5790 0 100000 189.62 2019.681 CS5_04_2 What quantity of your production for this crop did you or plan to direc 3124 5876 0 50000 104.202 1104.35 CS5_04_2_2 How long, did or will the stock for this [commodity name] kept for ho 3063 5937 0 18 3.363 2.056 CS5_04_3 What quantity of your production for this crop did you or plan to sell? 3124 5876 0 30000 71.575 771.862 CS5_04_3_2 To whom did you or plan to sell the majority of this [commodity name] 1115 7885 1 8 1 Purchaser in the field 184 2 Trader in the village market 295 3 Trader in the sector market 406 4 Trader in the district market 69 5 Individual consumer, family and relatives 137 6 Cooperative 19 7 International trader 0 8 Other 5 CS5_04_3_2_3 What is the distance in hours to reach the point of sale for the ma 931 8069 0 240 35.803 34.994 CS5_04_4 What quantity of your production for this crop did you or plan to keep 3124 5876 0 20000 9.286 357.955 CS5_04_5 What quantity of your production for this cop did you or plan to use fo 3124 5876 0 300 1.784 13.268 CS5_04_6 What quantity of your production for this crop did you or plan to give 3124 5876 0 500 5.31 18.662 CS5_04_7 What quantity of your production for this crop is lost/became spoiled, 3124 5876 0 500 2.684 20.855 CS5_05 Did your household use any chemical fertilizer and/or insecticides for th 3210 5790 0 88 0 No 2134 1 Yes Fertilizer only 615 2 Yes pesticides only 76 3 Yes both 381 88 Don't know 4 CS5_05_2 How did you acquire these the fetilizer that you used on [commodity nam 996 8004 1 88 1 Purchase 384 2 Purchase with Government Contribution(Subsidie) 501 3 Exchange with farmers 13 4 Gift from relatives/family 30 5 received from NGOs, govt… 16 88 Other 52 CS5_05_3 How did you acquire the pestcides that you used on [commodity name] dur 457 8543 1 88 1 Purchase 270 2 Purchase with Government Contribution(Subsidie) 172 3 Exchange with farmers 1 4 Gift from relatives/family 1 5 received from NGOs, govt… 12 88 Other 1 S5_03 household owned 5878 3122 0 100 67.759 39.26 S5_03_2 rented (paid in cash or shared cropping) 5878 3122 0 100 26.465 36.491 S5_03_3 others' land freely accessed 5878 3122 0 100 5.777 20.288 S5_04 Has your household had access to extension services in the period of seaso 5878 3122 0 88 0 No 3256 1 Yes 2566 88 Don't know 56 S5_05 Has your household received weather and climate information services durin 5878 3122 0 88 0 No 3155 1 Yes 2659 88 Don't know 64 S5_06 What storage facility does your household use to store your production? 5375 3625 0 9 0 Never store 1006 1 In traditional granaries 17 2 Indoors – in basket/bags 4164 3 Indoors – open storage 133 4 Outside – open storage 24 5 In certified warehouses for which you received a receipt spe 8 6 In other warehouses/stores 4 7 Metallic home silos 0 8 Plastic home silos 2 9 Other 17 S5_06/Never store 5993 3007 0 1 0 No 4987 1 Yes 1006 S5_06/In traditional granaries 5993 3007 0 1 0 No 5936 1 Yes 57 S5_06/Indoors – in basket/bags 5993 3007 0 1 0 No 1219 1 Yes 4774 S5_06/Indoors – open storage 5993 3007 0 1 0 No 5390 1 Yes 603 S5_06/Outside – open storage 5993 3007 0 1 0 No 5717 1 Yes 276 S5_06/In certified warehouses for which you received a receipt specifying the qu 5993 3007 0 1 0 No 5980 1 Yes 13 S5_06/In other warehouses/stores 5993 3007 0 1 0 No 5978 1 Yes 15 S5_06/Metallic home silos 5993 3007 0 1 0 No 5992 1 Yes 1 S5_06/Plastic home silos 5993 3007 0 1 0 No 5984 1 Yes 9 S5_06/Other 5993 3007 0 1 0 No 5964 1 Yes 29 S6_0 Does anyone of your household currently have a bank account? 9000 0 0 1 0 No 4801 1 Yes 4199 S6_0_1 If YES, what are the purpuses for the account? 3016 5984 1 21 1 To set aside money (for SILC savings, investments) 1797 2 To store money for household expenses or unexpected event 92 3 To receive a payment (wage, salaries, payment for goods/serv 651 4 To receive cash assistance 373 5 To receive remittance from abroad 5 6 To make a payment related to individual or household expense 3 7 To make a payment for a bank/microfinance loan 47 8 To make payment related to debt taken 3 21 Any other (please specify) 45 S6_0_1/To set aside money (for SILC savings, investments) 4199 4801 0 1 0 No 1291 1 Yes 2908 S6_0_1/To store money for household expenses or unexpected event 4199 4801 0 1 0 No 3596 1 Yes 603 S6_0_1/To receive a payment (wage, salaries, payment for goods/services, etc) 4199 4801 0 1 0 No 2932 1 Yes 1267 S6_0_1/To receive cash assistance 4199 4801 0 1 0 No 3665 1 Yes 534 S6_0_1/To receive remittance from abroad 4199 4801 0 1 0 No 4139 1 Yes 60 S6_0_1/To make a payment related to individual or household expenses 4199 4801 0 1 0 No 4154 1 Yes 45 S6_0_1/To make a payment for a bank/microfinance loan 4199 4801 0 1 0 No 3919 1 Yes 280 S6_0_1/To make payment related to debt taken 4199 4801 0 1 0 No 4140 1 Yes 59 S6_0_1/Any other (please specify) 4199 4801 0 1 0 No 4135 1 Yes 64 S6_01 Did you or any household member request for a loan in the in the last 12 m 9000 0 0 88 0 No 7096 1 Yes 1860 88 Don't know 44 S6_02 Where did you requested the most recent loan? 1860 7140 1 21 1 Micro-finance Institution (Credit d'Epargne/NGO/Sacco) 402 2 Bank 381 3 Tontine / Cooperative (Community loan) 636 4 VUP financial service 80 5 Village Saving and Loaning 298 6 Informal lender 16 8 Mobile Money 15 21 Other 32 S6_03 Were you given the loan you requested? 1860 7140 0 1 0 No 53 1 Yes 1807 S6_03_2 Why were you not given the loan you requested? 53 8947 1 5 1 Insufficient income 9 2 Insufficient collateral 10 3 Problems related to debts history 4 4 11 5 Other reasons 19 S6_04 What was the main use of the largest loan taken in the in the last 12 mont 1807 7193 1 13 1 Education 232 2 Agricultural and livestock activities (crop/livestock produc 437 3 Food purchases 258 4 Construction other than house 18 5 Health emergency 92 6 Business investment 280 7 Bride price / Wedding and parties 31 8 Land purchase 108 9 Funeral 10 10 House purchase or construction 124 11 Medicines for chronically ill family member 34 12 Home improvement 50 13 Other 133 S6_04_3 what % of loan was spent in buying or preparing farming or pasture land 437 8563 0 100 34.824 42.781 S6_04_4 What % of loan was spent in buying inputs ( seeds, chemicals, irrigation 437 8563 0 100 45.398 41.531 S6_04_5 What % of loan was used on post-harvet and production handling and proce 437 8563 0 100 9.389 21.704 S6_04_5 What % of loan was used other agricultural activities 437 8563 0 100 10.389 25.454 S6_04_5 For the last loan you requested, who in your household decided on what a 813 8187 1 4 1.212 0.443 S7_01 During the past 30 days, did your household spend any money in buying food 0 9000 0 No 1 Yes S7_01_00 Can you tell me of all commodities you remeemeber your houhold purchase 102 8898 1 88 1 Cereals, Roots and tubers 14 2 Legumes & Pulses(beans, peas, dry peas, cow peas (inkori)) 7 3 Vegetables 1 4 Fruits 0 5 Meat, fish and eggs 0 6 Milk and other dairy products 0 7 Oil / fat / butter 4 8 Sugar, or sweets 1 9 Condiments / Spices 19 10 Non-alcoholic beverages (Soda, bottled water, juice, etc) 0 11 Meals and drinks bought from resto, bar, etc 7 12 Other food items not mentioned on the list 0 88 No food was bought 49 S7_01_00/Cereals, Roots and tubers 9000 0 0 1 0 No 676 1 Yes 8324 S7_01_00/Legumes & Pulses(beans, peas, dry peas, cow peas (inkori)) 9000 0 0 1 0 No 2570 1 Yes 6430 S7_01_00/Vegetables 9000 0 0 1 0 No 2703 1 Yes 6297 S7_01_00/Fruits 9000 0 0 1 0 No 5511 1 Yes 3489 S7_01_00/Meat, fish and eggs 9000 0 0 1 0 No 4566 1 Yes 4434 S7_01_00/Milk and other dairy products 9000 0 0 1 0 No 6638 1 Yes 2362 S7_01_00/Oil / fat / butter 9000 0 0 1 0 No 985 1 Yes 8015 S7_01_00/Sugar, or sweets 9000 0 0 1 0 No 3682 1 Yes 5318 S7_01_00/Condiments / Spices 9000 0 0 1 0 No 379 1 Yes 8621 S7_01_00/Non-alcoholic beverages (Soda, bottled water, juice, etc) 9000 0 0 1 0 No 6840 1 Yes 2160 S7_01_00/Meals and drinks bought from resto, bar, etc 9000 0 0 1 0 No 8470 1 Yes 530 S7_01_00/Other food items not mentioned on the list 9000 0 0 1 0 No 8993 1 Yes 7 S7_01_00/No food was bought 9000 0 0 1 0 No 8951 1 Yes 49 S7_01_01 During the last 30 days, how much money did your household sepend in bu 9000 0 0 250000 17633.621 21352.41 S7_01_01_2 For data quality purposes, repeat the previoius amount 9000 0 0 250000 17633.621 21352.41 S7_01_02 During the last 30 days, how much money did your household sepend in bu 9000 0 0 190000 4778.614 7050.264 S7_01_02_2 For data quality purposes, repeat the previoius amount 9000 0 0 190000 4778.614 7050.264 S7_01_03 During the last 30 days, how much money did your household sepend in bu 9000 0 0 100000 2809.979 5270.847 S7_01_03_2 For data quality purposes, repeat the previoius amount 9000 0 0 100000 2809.979 5270.847 S7_01_04 During the last 30 days, how much money did your household sepend in bu 9000 0 0 160000 1606.484 4988.127 S7_01_04_2 For data quality purposes, repeat the previoius amount 9000 0 0 160000 1606.484 4988.127 S7_01_05 During the last 30 days, how much money did your household sepend in bu 9000 0 0 300000 3181.853 8171.031 S7_01_05_2 For data quality purposes, repeat the previoius amount 9000 0 0 300000 3181.853 8171.031 S7_01_06 During the last 30 days, how much money did your household sepend in bu 9000 0 0 100000 1536.323 4767.555 S7_01_06_2 For data quality purposes, repeat the previoius amount 9000 0 0 100000 1536.323 4767.555 S7_01_07 During the last 30 days, how much money did your household sepend in bu 9000 0 0 64000 2872.425 3570.403 S7_01_07_2 For data quality purposes, repeat the previoius amount 9000 0 0 64000 2872.425 3570.403 S7_01_08 During the last 30 days, how much money did your household sepend in bu 9000 0 0 75000 2060.511 3568.521 S7_01_08_2 For data quality purposes, repeat the previoius amount 9000 0 0 75000 2060.511 3568.521 S7_01_09 During the last 30 days, how much money did your household sepend in bu 9000 0 0 50000 1637.749 2538.823 S7_01_09_2 For data quality purposes, repeat the previoius amount 9000 0 0 50000 1637.749 2538.823 S7_01_10 During the last 30 days, how much money did your household sepend in bu 9000 0 0 80000 934.61 3150.83 S7_01_10_2 For data quality purposes, repeat the previoius amount 2160 6840 20 80000 3894.244 5463.442 S7_01_11 During the last 30 days, how much money did your household sepend in bu 9000 0 0 150000 621.213 4902.449 530 8470 20 150000 10549.777 17432.962 S7_01_12 During the last 30 days, how much money did your household sepend in bu 9000 0 0 35000 4.467 370.285 S7_01_12_2 For data quality purposes, repeat the previoius amount 6 8994 77 35000 6712.833 13882.89 S7_02_01 Last 30 days, how much money did your household spend in buying Alcohol 9000 0 0 225000 2422.211 9025.795 S7_02_01_2 For data quality purposes, repeat the previoius amount 9000 0 0 225000 2422.211 9025.795 S7_02_02 Last 30 days, how much money did your household spend in buying Soap an 9000 0 0 120000 4961.121 6961.983 S7_02_02_2 For data quality purposes, repeat the previoius amount 9000 0 0 120000 4961.121 6961.983 S7_02_03 Last 30 days, how much money did your household spend on Transport, for 9000 0 0 480000 7133.435 23285.447 S7_02_03_2 For data quality purposes, repeat the previoius amount 9000 0 0 480000 7133.435 23285.447 S7_02_04 Last 30 days, how much money did your household spend in buying lightin 9000 0 0 225000 1880.081 5647.529 S7_02_04_2 For data quality purposes, repeat the previoius amount 9000 0 0 225000 1880.081 5647.529 S7_02_05 Last 30 days, how much money did your household spend in buying cooking 9000 0 0 150000 5275.97 10036.512 S7_02_05_2 For data quality purposes, repeat the previoius amount 9000 0 0 150000 5275.97 10036.512 S7_02_06 Last 30 days, how much money did your household spend in household Wast 9000 0 0 60000 270.089 1534.935 S7_02_06_2 For data quality purposes, repeat the previoius amount 9000 0 0 60000 270.089 1534.935 S7_02_07 Last 30 days, how much money did your household spend in buying Rent (h 9000 0 0 1200000 8119.781 34467.324 S7_02_07_2 For data quality purposes, repeat the previoius amount 9000 0 0 1200000 8119.781 34467.324 S7_02_08 Last 30 days, how much money did your household spend in buying Milling 9000 0 0 45000 997.314 1902.672 S7_02_08_2 For data quality purposes, repeat the previoius amount 9000 0 0 45000 997.314 1902.672 S7_02_09 Last 30 days, how much money did your household spend in buying Communi 9000 0 0 187500 2453.731 6074.869 S7_02_09_2 For data quality purposes, repeat the previoius amount 9000 0 0 187500 2453.731 6074.869 S7_02_10 Last 30 days, how much money did your household spend in buying Other n 9000 0 0 450000 1015.476 10128.478 S7_02_10_2 For data quality purposes, repeat the previoius amount 697 8303 150 450000 13112.316 34169.445 S7_03_01 Last 3 months, how much money did your household spend on Medical expen 9000 0 0 5500000 6922.437 72509.15 S7_03_01_2 For data quality purposes, repeat the previoius amount 9000 0 0 5500000 6922.437 72509.15 S7_03_02 Last 3 months, how much money did your household spend on Education, sc 9000 0 0 7350000 21795.964 125949.388 S7_03_02_2 For data quality purposes, repeat the previoius amount 9000 0 0 7350000 21795.964 125949.388 S7_03_03 Last 3 months, how much money did your household spend on Clothing, sho 9000 0 0 600000 7967.439 21856.05 S7_03_03_2 For data quality purposes, repeat the previoius amount 9000 0 0 600000 7967.439 21856.05 S7_03_04 Last 3 months, how much money did your household spend on household fur 9000 0 0 1500000 2302.594 23301.058 S7_03_04_2 For data quality purposes, repeat the previoius amount 9000 0 0 1500000 2302.594 23301.058 S7_03_05 Last 3 months, how much money did your household spend on Construction, 9000 0 0 15000000 16121.169 255196.749 S7_03_05_2 For data quality purposes, repeat the previoius amount 9000 0 0 15000000 16121.169 255196.749 S7_03_06 Last 3 months, how much money did your household spend on Agriculture a 9000 0 0 12000000 20213.553 159022.532 S7_03_06_2 For data quality purposes, repeat the previoius amount 9000 0 0 8000000 13474.398 106015.025 S7_03_07 Last 3 months, how much money did your household spend on Livestock and 9000 0 0 4000000 3481.216 47583.895 S7_03_07_2 For data quality purposes, repeat the previoius amount 9000 0 0 4000000 3481.216 47583.895 S7_03_08 Last 3 months, how much money did your household spend on Hiring non-ag 9000 0 0 1000000 3158.781 22642.264 S7_03_08_2 For data quality purposes, repeat the previoius amount 9000 0 0 1000000 3158.781 22642.264 S7_03_09 Last 3 months, how much money did your household spend on Debts/mortgag 9000 0 0 10200000 26484.039 213682.108 S7_03_09_2 For data quality purposes, repeat the previoius amount 9000 0 0 10200000 26484.039 213682.108 S7_03_10 Last 3 months, how much money did your household spend on Fines, taxes 9000 0 0 1900000 2059.785 26205.03 S7_03_10_2 For data quality purposes, repeat the previoius amount 9000 0 0 1900000 2059.785 26205.03 S7_03_11 Last 3 months, how much money did your household spend on Ceremonies? 9000 0 0 15000000 7936.539 170401.124 S7_03_11_2 For data quality purposes, repeat the previoius amount 9000 0 0 15000000 7936.539 170401.124 S7_03_12 Last 3 months, how much money did your household spend on Gifts/donatio 9000 0 0 2000000 1466.806 22690.878 S7_03_12_2 For data quality purposes, repeat the previoius amount 9000 0 0 2000000 1466.806 22690.878 S7_03_13 Last 3 months, how much money did your household spend on Leisure? 9000 0 0 1500000 888.3 17595.592 S7_03_13_2 For data quality purposes, repeat the previoius amount 9000 0 0 1500000 888.3 17595.592 S7_03_14 Last 3 months, how much money did your household spend on Other service 9000 0 0 1500000 480.899 16478.691 S7_03_14_2 For data quality purposes, repeat the previoius amount 9000 0 0 1500000 480.899 16478.691 S8_0 Yesterday, how many times did the household eat? 9000 0 0 3 1.895 0.69 S8_0_1 what was these meals? 2078 6922 1 3 1 Breakfast 12 2 Lunch 294 3 Dinner 1772 S8_0_1/Breakfast 7547 1453 0 1 0 No 5347 1 Yes 2200 S8_0_1/Lunch 7547 1453 0 1 0 No 2363 1 Yes 5184 S8_0_1/Dinner 7547 1453 0 1 0 No 366 1 Yes 7181 S8_01 Yesterday, how many times did the male adults in this household eat? 7547 1453 0 5 1.787 0.719 S8_01_2 Yesterday, how many times did the female adults in this household eat? 8492 508 0 5 1.866 0.706 S8_01_3 Is this usual for adults at this time of year? 9000 0 0 2 0 It's usual 7391 1 No, it's more than usual 532 2 No, it's less than usual 1077 S8_02 Yesterday, how many times did the children ( boys <15 year old) in this ho 4744 4256 0 8 2.245 0.793 S8_02_2 Yesterday, how many times did the children (girls <15 year old) in this 4758 4242 0 8 2.244 0.807 S8_02_3 Is this usual for your children at this time of year? 6693 2307 0 2 0 It's usual 5888 1 No, it's more than usual 297 2 No, it's less than usual 508 AS8_03 How many days in the last 7 days did your household eat Cereals, roots an 9000 0 4 7 6.874 0.552 AS8_03_2 Was yesterday one of the days your househod ate Cereals:** sorghum, mil 9000 0 0 1 0 No 3046 1 Yes 5954 AS8_03_3 Was yesterday one of the days your househod ate Roots and tubers: sweet 9000 0 0 1 0 No 1527 1 Yes 7473 AS8_03_4 How did you mainly acquire these Cereals, grains, roots and tubers and 8975 25 1 9 1 Own production 3193 2 Gleaning 4 3 Loan 4 4 Market (purchase with cash) 5431 5 Market (purchase on credit) 35 6 Beg for food 6 7 Exchange labor or items for food 107 8 Gift (food) from family relatives or friends 194 9 Food aid from civil society, NGOs, government, WFP 1 BS8_03 How many days in the last 7 days did your household eat orange fleshed sw 9000 0 0 7 0.486 1.326 BS8_03_2 Last 24 hours (yesterday), did your household eat orange fleshed sweet 9000 0 0 1 0 No 8176 1 Yes 824 BS8_03_3 How did you mainly acquire these orange fleshed sweet potatoes? 1501 7499 1 8 1 Own production 588 2 Gleaning 0 3 Loan 0 4 Market (purchase with cash) 852 5 Market (purchase on credit) 1 6 Beg for food 2 7 Exchange labor or items for food 16 8 Gift (food) from family relatives or friends 42 9 Food aid from civil society, NGOs, government, WFP 0 DS8_03 How many days in the last 7 days did your household eat Legume/nuts : bea 9000 0 0 7 5.811 1.921 DS8_03_2 Last 24 hours (yesterday), did your household eat Legumes / nuts ? 9000 0 0 1 0 No 954 1 Yes 8046 DS8_03_3 How did you mainly acquire these Legumes / nuts ? 8798 202 1 9 1 Own production 3289 2 Gleaning 3 3 Loan 11 4 Market (purchase with cash) 5152 5 Market (purchase on credit) 30 6 Beg for food 8 7 Exchange labor or items for food 80 8 Gift (food) from family relatives or friends 224 9 Food aid from civil society, NGOs, government, WFP 1 ES8_03 How many days in the last 7 days did your household eat bio-fortied beans 9000 0 0 7 0.143 0.909 ES8_03_2 Last 24 hours (yesterday), did your household eat bio-fortied beans? 9000 0 0 1 0 No 8796 1 Yes 204 ES8_03_3 How did you mainly acquire these bio-fortied beans? 267 8733 1 8 1 Own production 95 2 Gleaning 0 3 Loan 0 4 Market (purchase with cash) 155 5 Market (purchase on credit) 0 6 Beg for food 1 7 Exchange labor or items for food 1 8 Gift (food) from family relatives or friends 15 9 Food aid from civil society, NGOs, government, WFP 0 FS8_03 How many days in the last 7 days did your household drink Milk or eat oth 9000 0 0 7 1.071 2.119 FS8_03_2 Last 24 hours (yesterday), did your household eat Milk and other dairy 9000 0 0 1 0 No 7494 1 Yes 1506 FS8_03_3 How did you mainly acquire these Milk and other dairy products? 2533 6467 1 9 1 Own production 587 3 Loan 5 4 Market (purchase with cash) 1772 5 Market (purchase on credit) 2 6 Beg for food 2 7 Exchange labor or items for food 8 8 Gift (food) from family relatives or friends 152 9 Food aid from civil society, NGOs, government, WFP 5 GS8_03 How many days in the last 7 days did your household eat Meat, fish or egg 9000 0 0 7 1.006 1.65 GAS8_03 How many days in the last 7 days did your household eat flesh Meat : goa 9000 0 0 7 0.189 0.661 GAS8_03_2 Last 24 hours (yesterday), did your household eat flesh meat? 9000 0 0 1 0 No 8660 1 Yes 340 GBS8_03 How many days in the last 7 days did your household eat Offal : liver, k 9000 0 0 7 0.0349 0.301 GBS8_03_2 Last 24 hours (yesterday), did your household eat offals? 9000 0 0 1 0 No 8941 1 Yes 59 GCS8_03 How many days in the last 7 days did your household eat Fish or other se 9000 0 0 7 0.678 1.393 GCS8_03_2 Last 24 hours (yesterday), did your household eat fish or other seafoo 9000 0 0 1 0 No 7935 1 Yes 1065 GDS8_03 How many days in the last 7 days did your household eat Eggs: (an egg pe 9000 0 0 7 0.256 0.874 GDS8_03_2 Last 24 hours (yesterday), did your household eat eggs? 9000 0 0 1 0 No 8646 1 Yes 354 GS8_03_2 How did you mainly acquire these meat that your household ate during th 1041 7959 1 8 1 Own production 161 3 Loan 1 4 Market (purchase with cash) 868 5 Market (purchase on credit) 1 6 Beg for food 0 7 Exchange labor or items for food 2 8 Gift (food) from family relatives or friends 8 9 Food aid from civil society, NGOs, government, WFP 0 HS8_03 How many days in the last 7 days did your household eat Vegetables: all 9000 0 0 7 4.765 2.146 HAS8_03 How many days in the last 7 days did your household eat Orange vegetable 9000 0 0 7 0.998 1.762 HBS8_03 How many days in the last 7 days did your household eat Dark green leafy 9000 0 0 7 4.111 2.289 HS8_03_2 Last 24 hours (yesterday), did your household eat vegetables? 9000 0 0 1 0 No 2177 1 Yes 6823 HS8_03_3 How did you mainly acquire these vegetables your household ate? 8345 655 1 9 1 Own production 4004 2 Gleaning 183 3 Loan 4 4 Market (purchase with cash) 3668 5 Market (purchase on credit) 11 6 Beg for food 49 7 Exchange labor or items for food 28 8 Gift (food) from family relatives or friends 397 9 Food aid from civil society, NGOs, government, WFP 1 IS8_03 How many days in the last 7 days did your household eat Fruit : banana, A 9000 0 0 7 1.222 1.897 IAS8_03 How many days in the last 7 days did your household eat Orange fruit (Vi 9000 0 0 7 0.515 1.34 IS8_03_2 Last 24 hours (yesterday), did your household eat any fruits? 9000 0 0 1 0 No 6920 1 Yes 2080 IS8_03_3 How did you mainly acquire these fruits that your household ate duringt 3752 5248 1 9 1 Own production 748 2 Gleaning 13 3 Loan 1 4 Market (purchase with cash) 2817 5 Market (purchase on credit) 1 6 Beg for food 15 7 Exchange labor or items for food 5 8 Gift (food) from family relatives or friends 151 9 Food aid from civil society, NGOs, government, WFP 1 IS8_04 Are there any tree foods in the homestead or your farm for easy access an 9000 0 0 1 0 No 5176 1 Yes 3824 IS8_04 Are there any tree foods in the homestead or your farm for easy access an 3824 5176 1 3 1 Home consumption 2870 2 Market 48 3 Both home and Market 906 JS8_03 How many days in the last 7 days did your household eat Oil/fat/butter: c 9000 0 0 7 4.778 2.39 JS8_03_2 Last 24 hours (yesterday), did your household eat Oil / fat / butter? 9000 0 0 1 0 No 2230 1 Yes 6770 JS8_03_3 How did you mainly acquire these Oil / fat / butter? 8264 736 1 9 1 Own production 45 3 Loan 8 4 Market (purchase with cash) 8079 5 Market (purchase on credit) 73 6 Beg for food 3 7 Exchange labor or items for food 11 8 Gift (food) from family relatives or friends 43 9 Food aid from civil society, NGOs, government, WFP 2 KS8_03 How many days in the last 7 days did your household eat Sweet sugar or pr 9000 0 0 7 2.613 2.775 KS8_03_2 Last 24 hours (yesterday), did your household eat Sugar, or sweet? 9000 0 0 1 0 No 5329 1 Yes 3671 KS8_03_3 How did you mainly acquire these Sugar, or sweet? 5277 3723 1 9 1 Own production 86 3 Loan 4 4 Market (purchase with cash) 5053 5 Market (purchase on credit) 44 6 Beg for food 5 7 Exchange labor or items for food 8 8 Gift (food) from family relatives or friends 75 9 Food aid from civil society, NGOs, government, WFP 2 LS8_03 How many days in the last 7 days did your household eat Spices / Condimen 9000 0 0 7 6.68 1.241 LS8_03_2 Last 24 hours (yesterday), did your household eat Condiments / Spices? 9000 0 0 1 0 No 301 1 Yes 8699 LS8_03_3 How did you mainly acquire these Condiments / Spices? 8786 214 1 9 1 Own production 32 3 Loan 13 4 Market (purchase with cash) 8609 5 Market (purchase on credit) 64 6 Beg for food 11 7 Exchange labor or items for food 7 8 Gift (food) from family relatives or friends 48 9 Food aid from civil society, NGOs, government, WFP 2 S8_04 What was the main source of beans your household consumed over the last 12 9000 0 1 9 1 Own production 3433 2 Gleaning 2 3 Loan 4 4 Market (purchase with cash) 5259 5 Market (purchase on credit) 17 6 Beg for food 10 7 Exchange labor or items for food 110 8 Gift (food) from family relatives or friends 162 9 Food aid from civil society, NGOs, government, WFP 3 S8_05 What is your household prefered staple food (other than beans, vegetables) 9000 0 1 3 1 Cereals 4034 2 Tubers and roots 4495 3 Cooking banana 471 S8_05_2 Is this also the most consumed staple for your household? 9000 0 0 88 0 No 2577 1 Yes 6419 88 Don't know 4 S8_05_3 What was the main source of [staple name] that your household consumed o 9000 0 1 9 1 Own production 2498 2 Gleaning 7 3 Loan 2 4 Market (purchase with cash) 6289 5 Market (purchase on credit) 24 6 Beg for food 10 7 Exchange labor or items for food 72 8 Gift (food) from family relatives or friends 93 9 Food aid from civil society, NGOs, government, WFP 5 S8_06 What are you household prefered vegetables 2859 6141 1 9 1 Amaranthus 2498 2 Carrot 55 3 Spinach 3 4 Red onion 3 5 White cabbage 94 6 Eggplant 49 7 Mushroom 3 8 Pumpkins 30 9 Others, Specify 124 S8_06/Amaranthus 9000 0 0 1 0 No 875 1 Yes 8125 S8_06/Carrot 9000 0 0 1 0 No 6025 1 Yes 2975 S8_06/Spinach 9000 0 0 1 0 No 8457 1 Yes 543 S8_06/Red onion 9000 0 0 1 0 No 6267 1 Yes 2733 S8_06/White cabbage 9000 0 0 1 0 No 6037 1 Yes 2963 S8_06/Eggplant 9000 0 0 1 0 No 5767 1 Yes 3233 S8_06/Mushroom 9000 0 0 1 0 No 8699 1 Yes 301 S8_06/Pumpkins 9000 0 0 1 0 No 7416 1 Yes 1584 S8_06/Others, Specify 9000 0 0 1 0 No 8121 1 Yes 879 S8_06_2 Is this also the most consumed vegetables for your household? 9000 0 0 1 0 No 1041 1 Yes 7959 88 Don't know 0 S8_06_3 What is the main source of these said Vegetables? 9000 0 1 9 1 Own production 3639 2 Gleaning 164 3 Loan 2 4 Market (purchase with cash) 4841 5 Market (purchase on credit) 8 6 Beg for food 34 7 Exchange labor or items for food 33 8 Gift (food) from family relatives or friends 275 9 Food aid from civil society, NGOs, government, WFP 4 S8_09 During last 7 days, did your household spend a full day without eating due 9000 0 0 1 0 No 7973 1 Yes 1027 S8_09_1 If yes, ni iminsi ingahe? 1027 7973 1 7 1.839 0.942 S9_01 In the last 7 days, have there been times when your household did not have 9000 0 0 1 0 No 5181 1 Yes 3819 S9_01_2 What mainly caused the food shortage that you earlier mentioned? 3819 5181 1 8 1 Low production from last season 709 2 Lack of agricultural production markets 57 3 Loss/reduction of employment of members of the household 1433 4 Reduction of income of household members 518 5 High market prices for non-food items 412 6 Unusually high food prices 137 7 Insecurity/unrest/Violence 22 8 Others 531 S9_01_2_2 What was the main cause of reduced or insufficient production? 709 8291 1 7 1 Drought/irregular rains, prolonged dry spell 435 2 Floods 22 3 Landslides and Mudslides 40 4 Unusually high level of crop pests & disease 79 5 Unusually high level of livestock diseases 6 6 Hailstones (grele) 17 7 Other, specify 110 S9_01_2_3 What was the main cause of loss or reduction of household's labour or 1433 7567 1 7 1 Serious illness or accident of household member 100 2 11 3 Death a working household member 7 4 Death of other household member 7 5 Theft of productive resources 34 6 Loss or reduced employment/Income for a household member 685 7 Other, specify 589 S9_01_3 What do you think can be done to alleviate food access problems? 2566 6434 1 10 1 Subsidized agricurtural inputs 136 2 Creation of HH's income generating activities 2006 3 Support in market access and linkages 15 4 Support in irrigation systems 18 5 Support in errosion control systems 8 6 Support to vulnerables affected by shocks 226 7 Support in health insurance 9 8 Support in family planning 1 9 Other 143 10 Infrastructures: Roads, Bridges... 4 S9_01_3/Subsidized agricurtural inputs 3819 5181 0 1 0 No 3127 1 Yes 692 S9_01_3/Creation of HH's income generating activities 3819 5181 0 1 0 No 718 1 Yes 3101 S9_01_3/Support in market access and linkages 3819 5181 0 1 0 No 3737 1 Yes 82 S9_01_3/Support in irrigation systems 3819 5181 0 1 0 No 3729 1 Yes 90 S9_01_3/Support in errosion control systems 3819 5181 0 1 0 No 3740 1 Yes 79 S9_01_3/Support to vulnerables affected by shocks 3819 5181 0 1 0 No 3026 1 Yes 793 S9_01_3/Support in health insurance 3819 5181 0 1 0 No 3570 1 Yes 249 S9_01_3/Support in family planning 3819 5181 0 1 0 No 3781 1 Yes 38 S9_01_3/Infrastructures: Roads, Bridges... 3819 5181 0 1 0 No 3656 1 Yes 163 S9_01_3/Other 3819 5181 0 1 0 No 3506 1 Yes 313 AS9_02_2 In the past 7 days, how many days has your household had to Rely On Les 9000 0 0 7 2.213 2.363 BS9_02_2 In the past 7 days, how many days has your household had to Borrow Food 9000 0 0 7 0.494 1.124 CS9_02_2 In the past 7 days, how many days has your household had to Limit Porti 9000 0 0 7 1.258 1.908 DS9_02_2 In the past 7 days, how many days has your household had to Restrict Co 9000 0 0 7 0.468 1.268 ES9_02_2 In the past 7 days, how many days has your household had to Reduce Numb 9000 0 0 7 0.94 1.81 AS9_04 During the past 30 days, did anyone in your household have to Sell househ 9000 0 0 3 0 No 7314 1 Yes 553 3 Not applicable 1133 AS9_04_2 If no, why? 7314 1686 1 3 1 No, because it wasn't necessary 6374 2 No, because I already sold those assets or did this activity 48 3 No because I never had the possibility to do so 892 BS9_04 During the past 30 days, did anyone in your household have to spend savin 9000 0 0 3 0 No 5183 1 Yes 2055 3 Not applicable 1762 BS9_04_2 If no, why? 5186 3814 1 3 1 No, because it wasn't necessary 4451 2 No, because I already sold those assets or did this activity 57 3 No because I never had the possibility to do so 678 CS9_04 During the past 30 days, did anyone in your household have to sell more a 9000 0 0 3 0 No 6521 1 Yes 248 3 Not applicable 2231 CS9_04_2 If no, why? 5191 3809 1 3 1 No, because it wasn't necessary 4485 2 No, because I already sold those assets or did this activity 21 3 No because I never had the possibility to do so 685 DS9_04 During the past 30 days, did anyone in your household have to purchased f 9000 0 0 3 0 No 5134 1 Yes 3038 3 Not applicable 828 DS9_04_2 If no, why? 5137 3863 1 3 1 No, because it wasn't necessary 4401 2 No, because I already sold those assets or did this activity 84 3 No because I never had the possibility to do so 652 ES9_04 During the past 30 days, did anyone in your household have to harvest imm 9000 0 0 3 0 No 6325 1 Yes 2003 3 Not applicable 672 ES9_04_2 If no, why? 4660 4340 1 3 1 No, because it wasn't necessary 4190 2 No, because I already sold those assets or did this activity 28 3 No because I never had the possibility to do so 442 FS9_04 During the past 30 days, did anyone in your household have to consume see 9000 0 0 3 0 No 6972 1 Yes 902 3 Not applicable 1126 FS9_04_2 If no, why? 5343 3657 1 3 1 No, because it wasn't necessary 4612 2 No, because I already sold those assets or did this activity 59 3 No because I never had the possibility to do so 672 GS9_04 During the past 30 days, did anyone in your household have to decrease ex 9000 0 0 3 0 No 7061 1 Yes 717 3 Not applicable 1222 GS9_04_2 If no, why? 5463 3537 1 3 1 No, because it wasn't necessary 4761 2 No, because I already sold those assets or did this activity 18 3 No because I never had the possibility to do so 684 HS9_04 During the past 30 days, did anyone in your household have to Begg due to 9000 0 0 3 0 No 8037 1 Yes 368 3 Not applicable 595 HS9_04_2 If no, why? 7682 1318 1 3 1 No, because it wasn't necessary 7193 2 No, because I already sold those assets or did this activity 12 3 No because I never had the possibility to do so 477 IS9_04 During the past 30 days, did anyone in your household have to sell last f 9000 0 0 3 0 No 6707 1 Yes 54 3 Not applicable 2239 IS9_04_2 If no, why? 4981 4019 1 3 1 No, because it wasn't necessary 4404 2 No, because I already sold those assets or did this activity 8 3 No because I never had the possibility to do so 569 JS9_04 During the past 30 days, your entire household migrate due to a lack of e 9000 0 0 3 0 No 8227 1 Yes 94 3 Not applicable 679 JS9_04_2 If no, why? 7876 1124 1 3 1 No, because it wasn't necessary 7382 2 No, because I already sold those assets or did this activity 25 3 No because I never had the possibility to do so 469 S10_01 In the last 12 months were there any specific months in which your househ 9000 0 0 88 0 No 3481 1 Yes 5455 88 Don't know 64 S10_01_2 If yes, in which months did your household found it does not have enoug 634 8366 1 12 1 March of 2024 132 2 February of 2024 43 3 January of 2024 34 4 December of 2023 42 5 November of 2023 103 6 October of 2023 49 7 September of 2023 31 8 August of 2023 22 9 July of 2023 27 10 June of 2023 12 11 May of 2023 23 12 April of 2023 116 S10_01_2/March of 2024 5455 3545 0 1 0 No 3838 1 Yes 1617 S10_01_2/February of 2024 5455 3545 0 1 0 No 4378 1 Yes 1077 S10_01_2/January of 2024 5455 3545 0 1 0 No 4537 1 Yes 918 S10_01_2/December of 2023 5455 3545 0 1 0 No 4068 1 Yes 1387 S10_01_2/November of 2023 5455 3545 0 1 0 No 2832 1 Yes 2623 S10_01_2/October of 2023 5455 3545 0 1 0 No 3067 1 Yes 2388 S10_01_2/September of 2023 5455 3545 0 1 0 No 3603 1 Yes 1852 S10_01_2/August of 2023 5455 3545 0 1 0 No 4281 1 Yes 1174 S10_01_2/July of 2023 5455 3545 0 1 0 No 4456 1 Yes 999 S10_01_2/June of 2023 5455 3545 0 1 0 No 4659 1 Yes 796 S10_01_2/May of 2023 5455 3545 0 1 0 No 4277 1 Yes 1178 S10_01_2/April of 2023 5455 3545 0 1 0 No 3317 1 Yes 2138 S10_01_3 Was this situation usual for your household at that time of the year? 5455 3545 0 2 0 It's usual 2987 1 No, it's better than usual 175 2 No, it's worse/less than usual 2293 S10_02 Did you or your household experience any unusual situation during the las 9000 0 0 88 0 No 6350 1 Yes 2600 88 Don't know 50 S10_03 If yes, tell us all the problems that affected your household during the 2182 6818 1 21 1 Drought/irregular rains, prolonged dry spell 618 2 Floods 104 3 Landslides and Mudslides 238 4 Unusually high level of crop pests & disease 35 5 Unusually high level of livestock diseases 10 6 Unusually high level of human disease/EPIDEMIC 5 7 Unusually high prices for food 60 8 Unusually high cost of agric. inputs (seed, fertilizer, etc. 5 9 Loss or reduced employment/Income for a household member 212 10 Fires 1 11 Serious illness or accident of household member 332 12 19 13 Death a working household member 12 14 Death of other household member 27 15 Theft of productive resources 39 16 Insecurity/violence 19 17 hailstones (grele) 29 18 earthquake 1 19 Volcanic activity 0 20 Other, specify 97 21 Heavy rain 319 S10_03/Drought/irregular rains, prolonged dry spell 2600 6400 0 1 0 No 1808 1 Yes 792 S10_03/Floods 2600 6400 0 1 0 No 2460 1 Yes 140 S10_03/Landslides and Mudslides 2600 6400 0 1 0 No 2258 1 Yes 342 S10_03/Unusually high level of crop pests & disease 2600 6400 0 1 0 No 2527 1 Yes 73 S10_03/Unusually high level of livestock diseases 2600 6400 0 1 0 No 2576 1 Yes 24 S10_03/Unusually high level of human disease/EPIDEMIC 2600 6400 0 1 0 No 2594 1 Yes 6 S10_03/Unusually high prices for food 2600 6400 0 1 0 No 2406 1 Yes 194 S10_03/Unusually high cost of agric. inputs (seed, fertilizer, etc.) 2600 6400 0 1 0 No 2576 1 Yes 24 S10_03/Loss or reduced employment/Income for a household member 2600 6400 0 1 0 No 2224 1 Yes 376 S10_03/Fires 2600 6400 0 1 0 No 2599 1 Yes 1 S10_03/Serious illness or accident of household member 2600 6400 0 1 0 No 2167 1 Yes 433 2600 6400 0 1 0 No 2575 1 Yes 25 S10_03/Death a working household member 2600 6400 0 1 0 No 2583 1 Yes 17 S10_03/Death of other household member 2600 6400 0 1 0 No 2559 1 Yes 41 S10_03/Theft of productive resources 2600 6400 0 1 0 No 2546 1 Yes 54 S10_03/Insecurity/violence 2600 6400 0 1 0 No 2572 1 Yes 28 S10_03/hailstones (grele) 2600 6400 0 1 0 No 2554 1 Yes 46 S10_03/earthquake 2600 6400 0 1 0 No 2598 1 Yes 2 S10_03/Volcanic activity 2600 6400 0 0 0 No 2600 1 Yes 0 S10_03/Heavy rain 2600 6400 0 1 0 No 2159 1 Yes 441 S10_03/Other, specify 2600 6400 0 1 0 No 2521 1 Yes 79 S10_03_3 Did your household receive post disaster package (food, construction ma 9000 0 0 1 0 No 8673 1 Yes 327 AS10_05 Which one of these shocks did your household consider the 1st most serve 2601 6399 1 21 1 Drought/irregular rains, prolonged dry spell 715 2 Floods 124 3 Landslides and Mudslides 282 4 Unusually high level of crop pests & disease 53 5 Unusually high level of livestock diseases 14 6 Unusually high level of human disease/EPIDEMIC 6 7 Unusually high prices for food 112 8 Unusually high cost of agric. inputs (seed, fertilizer, etc. 7 9 Loss or reduced employment/Income for a household member 276 10 Fires 1 11 Serious illness or accident of household member 376 12 22 13 Death a working household member 16 14 Death of other household member 31 15 Theft of productive resources 43 16 Insecurity/violence 22 17 hailstones (grele) 37 18 earthquake 2 19 Volcanic activity 0 20 Other, specify 107 21 Heavy rain 355 AS10_05_2 Has [${AS10C1}] caused a reduction or loss of income (in nature or in 2601 6399 0 1 0 No 119 1 Yes 2482 AS10_05_3 Did [${AS10C1}] create a decrease or loss of assets or belongings? 2601 6399 0 1 0 No 287 1 Yes 2314 AS10_05_4 Please indicate in which period of the year that shock manifested itse 1272 7728 1 12 1 March of 2024 327 2 February of 2024 104 3 January of 2024 54 4 December of 2023 87 5 November of 2023 98 6 October of 2023 64 7 September of 2023 57 8 August of 2023 28 9 July of 2023 20 10 June of 2023 25 11 May of 2023 165 12 April of 2023 243 AS10_05_4/March of 2024 2601 6399 0 1 0 No 1739 1 Yes 862 AS10_05_4/February of 2024 2601 6399 0 1 0 No 2009 1 Yes 592 AS10_05_4/January of 2024 2601 6399 0 1 0 No 2163 1 Yes 438 AS10_05_4/December of 2023 2601 6399 0 1 0 No 2039 1 Yes 562 AS10_05_4/November of 2023 2601 6399 0 1 0 No 1940 1 Yes 661 AS10_05_4/October of 2023 2601 6399 0 1 0 No 2046 1 Yes 555 AS10_05_4/September of 2023 2601 6399 0 1 0 No 2154 1 Yes 447 AS10_05_4/August of 2023 2601 6399 0 1 0 No 2247 1 Yes 354 AS10_05_4/July of 2023 2601 6399 0 1 0 No 2273 1 Yes 328 AS10_05_4/June of 2023 2601 6399 0 1 0 No 2295 1 Yes 306 AS10_05_4/May of 2023 2601 6399 0 1 0 No 2086 1 Yes 515 AS10_05_4/April of 2023 2601 6399 0 1 0 No 1915 1 Yes 686 AS10_05_5 Has the household recovered from those losses? 2601 6399 1 3 1 not at all 918 2 partially 1528 3 fully 155 AS10_05_6 What did the household do to compensate for the consequencies of the s 749 8251 1 20 1 Have household members eat at relatives' or neighbours' 14 2 Reduced adult consumption so that children can eat 12 3 Fed working members at the expense of non working members 2 4 Reduce number of meals eaten per day 59 5 Go entire day without eating 15 6 Borrow food or rely on help from friends or relatives 16 7 Rely on less expensive or less preferred foods 66 8 Purchase/borrow food on credit 41 9 Consume seed stock to be saved for next season 8 10 Increased casual labour 126 11 Migration of one or more household members 10 12 Some household members worked for food only 6 13 Spent savings 55 14 Borrowed money 87 15 Sold household assets 6 16 Sold productive assets 7 17 Children taken out of school 3 18 Reduced expenditures on health an/or education 3 19 Other survival mechanism 136 20 Reduced the consumed quantity 77 AS10_05_6/Have household members eat at relatives' or neighbours' 2601 6399 0 1 0 No 2433 1 Yes 168 AS10_05_6/Reduced adult consumption so that children can eat 2601 6399 0 1 0 No 2223 1 Yes 378 AS10_05_6/Fed working members at the expense of non working members 2601 6399 0 1 0 No 2547 1 Yes 54 AS10_05_6/Reduce number of meals eaten per day 2601 6399 0 1 0 No 1622 1 Yes 979 AS10_05_6/Go entire day without eating 2601 6399 0 1 0 No 2149 1 Yes 452 AS10_05_6/Borrow food or rely on help from friends or relatives 2601 6399 0 1 0 No 2355 1 Yes 246 AS10_05_6/Rely on less expensive or less preferred foods 2601 6399 0 1 0 No 1717 1 Yes 884 AS10_05_6/Purchase/borrow food on credit 2601 6399 0 1 0 No 1661 1 Yes 940 AS10_05_6/Consume seed stock to be saved for next season 2601 6399 0 1 0 No 2394 1 Yes 207 AS10_05_6/Increased casual labour 2601 6399 0 1 0 No 1748 1 Yes 853 AS10_05_6/Migration of one or more household members 2601 6399 0 1 0 No 2521 1 Yes 80 AS10_05_6/Some household members worked for food only 2601 6399 0 1 0 No 2494 1 Yes 107 AS10_05_6/Spent savings 2601 6399 0 1 0 No 2180 1 Yes 421 AS10_05_6/Borrowed money 2601 6399 0 1 0 No 1736 1 Yes 865 AS10_05_6/Sold household assets 2601 6399 0 1 0 No 2515 1 Yes 86 AS10_05_6/Sold productive assets 2601 6399 0 1 0 No 2575 1 Yes 26 AS10_05_6/Children taken out of school 2601 6399 0 1 0 No 2555 1 Yes 46 AS10_05_6/Reduced expenditures on health an/or education 2601 6399 0 1 0 No 2570 1 Yes 31 AS10_05_6/Reduced the consumed quantity 2601 6399 0 1 0 No 1826 1 Yes 775 AS10_05_6/Other survival mechanism 2601 6399 0 1 0 No 2412 1 Yes 189 BS10_05 Which one of these shocks did your household consider the 2nd most serve 418 8582 1 21 1 Drought/irregular rains, prolonged dry spell 62 2 Floods 13 3 Landslides and Mudslides 55 4 Unusually high level of crop pests & disease 12 5 Unusually high level of livestock diseases 4 6 Unusually high level of human disease/EPIDEMIC 0 7 Unusually high prices for food 62 8 Unusually high cost of agric. inputs (seed, fertilizer, etc. 7 9 Loss or reduced employment/Income for a household member 74 10 Fires 0 11 Serious illness or accident of household member 29 12 2 13 Death a working household member 1 14 Death of other household member 6 15 Theft of productive resources 7 16 Insecurity/violence 3 17 hailstones (grele) 6 18 earthquake 0 19 Volcanic activity 0 20 Other, specify 12 21 Heavy rain 63 BS10_05_2 Has [shock name] caused a reduction or loss of income (in nature or in 418 8582 0 1 0 No 13 1 Yes 405 BS10_05_3 Did [Shock name] create a decrease or loss of assets or belongings? 418 8582 0 1 0 No 38 1 Yes 380 BS10_05_4 Please indicate in which period of the year that shock manifested itse 158 8842 1 12 1 March of 2024 38 2 February of 2024 11 3 January of 2024 3 4 December of 2023 7 5 November of 2023 9 6 October of 2023 6 7 September of 2023 3 8 August of 2023 4 9 July of 2023 2 10 June of 2023 1 11 May of 2023 51 12 April of 2023 23 BS10_05_4/March of 2024 418 8582 0 1 0 No 263 1 Yes 155 BS10_05_4/February of 2024 418 8582 0 1 0 No 301 1 Yes 117 BS10_05_4/January of 2024 418 8582 0 1 0 No 319 1 Yes 99 BS10_05_4/December of 2023 418 8582 0 1 0 No 306 1 Yes 112 BS10_05_4/November of 2023 418 8582 0 1 0 No 285 1 Yes 133 BS10_05_4/October of 2023 418 8582 0 1 0 No 310 1 Yes 108 BS10_05_4/September of 2023 418 8582 0 1 0 No 331 1 Yes 87 BS10_05_4/August of 2023 418 8582 0 1 0 No 337 1 Yes 81 BS10_05_4/July of 2023 418 8582 0 1 0 No 353 1 Yes 65 BS10_05_4/June of 2023 418 8582 0 1 0 No 363 1 Yes 55 BS10_05_4/May of 2023 418 8582 0 1 0 No 287 1 Yes 131 BS10_05_4/April of 2023 418 8582 0 1 0 No 291 1 Yes 127 BS10_05_5 Has the household recovered from those losses? 418 8582 1 3 1 not at all 164 2 partially 242 3 fully 12 BS10_05_6 What did the household do to compensate for the consequencies of the s 78 8922 1 20 1 Have household members eat at relatives' or neighbours' 4 2 Reduced adult consumption so that children can eat 2 3 Fed working members at the expense of non working members 0 4 Reduce number of meals eaten per day 6 5 Go entire day without eating 5 6 Borrow food or rely on help from friends or relatives 1 7 Rely on less expensive or less preferred foods 6 8 Purchase/borrow food on credit 6 9 Consume seed stock to be saved for next season 0 10 Increased casual labour 9 11 Migration of one or more household members 1 12 Some household members worked for food only 1 13 Spent savings 6 14 Borrowed money 18 15 Sold household assets 0 16 Sold productive assets 1 17 Children taken out of school 0 18 Reduced expenditures on health an/or education 0 19 Other survival mechanism 5 20 Reduced the consumed quantity 7 BS10_05_6/Have household members eat at relatives' or neighbours' 418 8582 0 1 0 No 389 1 Yes 29 BS10_05_6/Reduced adult consumption so that children can eat 418 8582 0 1 0 No 337 1 Yes 81 BS10_05_6/Fed working members at the expense of non working members 418 8582 0 1 0 No 411 1 Yes 7 BS10_05_6/Reduce number of meals eaten per day 418 8582 0 1 0 No 233 1 Yes 185 BS10_05_6/Go entire day without eating 418 8582 0 1 0 No 324 1 Yes 94 BS10_05_6/Borrow food or rely on help from friends or relatives 418 8582 0 1 0 No 390 1 Yes 28 BS10_05_6/Rely on less expensive or less preferred foods 418 8582 0 1 0 No 254 1 Yes 164 BS10_05_6/Purchase/borrow food on credit 418 8582 0 1 0 No 234 1 Yes 184 BS10_05_6/Consume seed stock to be saved for next season 418 8582 0 1 0 No 387 1 Yes 31 BS10_05_6/Increased casual labour 418 8582 0 1 0 No 295 1 Yes 123 BS10_05_6/Migration of one or more household members 418 8582 0 1 0 No 406 1 Yes 12 BS10_05_6/Some household members worked for food only 418 8582 0 1 0 No 395 1 Yes 23 BS10_05_6/Spent savings 418 8582 0 1 0 No 329 1 Yes 89 BS10_05_6/Borrowed money 418 8582 0 1 0 No 244 1 Yes 174 BS10_05_6/Sold household assets 418 8582 0 1 0 No 409 1 Yes 9 BS10_05_6/Sold productive assets 418 8582 0 1 0 No 414 1 Yes 4 BS10_05_6/Children taken out of school 418 8582 0 1 0 No 406 1 Yes 12 BS10_05_6/Reduced expenditures on health an/or education 418 8582 0 1 0 No 410 1 Yes 8 BS10_05_6/Reduced the consumed quantity 418 8582 0 1 0 No 271 1 Yes 147 BS10_05_6/Other survival mechanism 418 8582 0 1 0 No 408 1 Yes 10 CS10_05 Which one of these shocks did your household consider the 3rd most serve 87 8913 1 21 1 Drought/irregular rains, prolonged dry spell 8 2 Floods 2 3 Landslides and Mudslides 4 4 Unusually high level of crop pests & disease 3 5 Unusually high level of livestock diseases 0 6 Unusually high level of human disease/EPIDEMIC 0 7 Unusually high prices for food 15 8 Unusually high cost of agric. inputs (seed, fertilizer, etc. 5 9 Loss or reduced employment/Income for a household member 12 10 Fires 0 11 Serious illness or accident of household member 8 12 0 13 Death a working household member 0 14 Death of other household member 4 15 Theft of productive resources 3 16 Insecurity/violence 2 17 hailstones (grele) 2 18 earthquake 0 19 Volcanic activity 0 20 Other, specify 4 21 Heavy rain 15 CS10_05_2 Has [shock name] caused a reduction or loss of income (in nature or in 87 8913 0 1 0 No 6 1 Yes 81 CS10_05_3 Did [Shock name] create a decrease or loss of assets or belongings? 87 8913 0 1 0 No 9 1 Yes 78 CS10_05_4 Please indicate in which period of the year that shock manifested itse 34 8966 1 12 1 March of 2024 9 2 February of 2024 5 3 January of 2024 1 4 December of 2023 0 5 November of 2023 1 6 October of 2023 1 7 September of 2023 1 8 August of 2023 2 9 July of 2023 1 10 June of 2023 1 11 May of 2023 6 12 April of 2023 6 CS10_05_4/March of 2024 87 8913 0 1 0 No 51 1 Yes 36 CS10_05_4/February of 2024 87 8913 0 1 0 No 56 1 Yes 31 CS10_05_4/January of 2024 87 8913 0 1 0 No 66 1 Yes 21 CS10_05_4/December of 2023 87 8913 0 1 0 No 60 1 Yes 27 CS10_05_4/November of 2023 87 8913 0 1 0 No 57 1 Yes 30 CS10_05_4/October of 2023 87 8913 0 1 0 No 58 1 Yes 29 CS10_05_4/September of 2023 87 8913 0 1 0 No 64 1 Yes 23 CS10_05_4/August of 2023 87 8913 0 1 0 No 69 1 Yes 18 CS10_05_4/July of 2023 87 8913 0 1 0 No 71 1 Yes 16 CS10_05_4/June of 2023 87 8913 0 1 0 No 75 1 Yes 12 CS10_05_4/May of 2023 87 8913 0 1 0 No 66 1 Yes 21 CS10_05_4/April of 2023 87 8913 0 1 0 No 65 1 Yes 22 CS10_05_5 Has the household recovered from those losses? 87 8913 1 3 1 not at all 28 2 partially 54 3 fully 5 CS10_05_6 What did the household do to compensate for the consequencies of the s 20 8980 1 20 1 Have household members eat at relatives' or neighbours' 1 2 Reduced adult consumption so that children can eat 1 3 Fed working members at the expense of non working members 0 4 Reduce number of meals eaten per day 2 5 Go entire day without eating 1 6 Borrow food or rely on help from friends or relatives 0 7 Rely on less expensive or less preferred foods 1 8 Purchase/borrow food on credit 2 9 Consume seed stock to be saved for next season 0 10 Increased casual labour 1 11 Migration of one or more household members 1 12 Some household members worked for food only 0 13 Spent savings 1 14 Borrowed money 4 15 Sold household assets 0 16 Sold productive assets 0 17 Children taken out of school 0 18 Reduced expenditures on health an/or education 1 19 Other survival mechanism 1 20 Reduced the consumed quantity 3 CS10_05_6/Have household members eat at relatives' or neighbours' 87 8913 0 1 0 No 83 1 Yes 4 CS10_05_6/Reduced adult consumption so that children can eat 87 8913 0 1 0 No 63 1 Yes 24 CS10_05_6/Fed working members at the expense of non working members 87 8913 0 1 0 No 82 1 Yes 5 CS10_05_6/Reduce number of meals eaten per day 87 8913 0 1 0 No 33 1 Yes 54 CS10_05_6/Go entire day without eating 87 8913 0 1 0 No 73 1 Yes 14 CS10_05_6/Borrow food or rely on help from friends or relatives 87 8913 0 1 0 No 80 1 Yes 7 CS10_05_6/Rely on less expensive or less preferred foods 87 8913 0 1 0 No 45 1 Yes 42 CS10_05_6/Purchase/borrow food on credit 87 8913 0 1 0 No 62 1 Yes 25 CS10_05_6/Consume seed stock to be saved for next season 87 8913 0 1 0 No 76 1 Yes 11 CS10_05_6/Increased casual labour 87 8913 0 1 0 No 68 1 Yes 19 CS10_05_6/Migration of one or more household members 87 8913 0 1 0 No 82 1 Yes 5 CS10_05_6/Some household members worked for food only 87 8913 0 1 0 No 85 1 Yes 2 CS10_05_6/Spent savings 87 8913 0 1 0 No 61 1 Yes 26 CS10_05_6/Borrowed money 87 8913 0 1 0 No 48 1 Yes 39 CS10_05_6/Sold household assets 87 8913 0 1 0 No 84 1 Yes 3 CS10_05_6/Sold productive assets 87 8913 0 1 0 No 84 1 Yes 3 CS10_05_6/Children taken out of school 87 8913 0 1 0 No 83 1 Yes 4 CS10_05_6/Reduced expenditures on health an/or education 87 8913 0 1 0 No 83 1 Yes 4 CS10_05_6/Reduced the consumed quantity 87 8913 0 1 0 No 46 1 Yes 41 CS10_05_6/Other survival mechanism 87 8913 0 1 0 No 85 1 Yes 2 S11_02 Did your household or one (or more) of its members benefit from any in ki 9000 0 0 88 0 No 8586 1 Yes 409 88 Don't know 5 S11_03 What type of FOOD assistance was provided? 377 8623 1 6 1 Food for school children (eaten at school or take-home) 26 2 Food for pregnant and breastfeeding women and small children 47 3 Food for work 9 4 Food for training 1 5 Free food distributions 218 6 Other food assistance programs 76 S11_03/Food for school children (eaten at school or take-home) 409 8591 0 1 0 No 370 1 Yes 39 S11_03/Food for pregnant and breastfeeding women and small children (MCHN) 409 8591 0 1 0 No 357 1 Yes 52 S11_03/Food for work 409 8591 0 1 0 No 387 1 Yes 22 S11_03/Food for training 409 8591 0 1 0 No 406 1 Yes 3 S11_03/Free food distributions 409 8591 0 1 0 No 167 1 Yes 242 S11_03/Other food assistance programs 409 8591 0 1 0 No 325 1 Yes 84 S11_03_1_1 Please indicate the number of days the food assistance received would 409 8591 0 5000 30.67 248.37 AS11_04_3 Who provided Food for school children (eaten at school or take-home) 36 8964 1 88 1 Government 29 2 WFP 0 3 Other UN agency 0 4 NGO 3 5 Church/Mosque 1 6 Community 0 7 Relative(s) /Friend(s) 1 8 Other 0 9 Parent contribution 0 88 Don't know 2 AS11_04_3/Government 39 8961 0 1 0 No 9 1 Yes 30 AS11_04_3/WFP 39 8961 0 1 0 No 38 1 Yes 1 AS11_04_3/Other UN agency 39 8961 0 0 0 No 39 1 Yes 0 AS11_04_3/NGO 39 8961 0 1 0 No 35 1 Yes 4 AS11_04_3/Church/Mosque 39 8961 0 1 0 No 38 1 Yes 1 AS11_04_3/Community 39 8961 0 1 0 No 38 1 Yes 1 AS11_04_3/Relative(s) /Friend(s) 39 8961 0 1 0 No 37 1 Yes 2 AS11_04_3/Parent contribution 39 8961 0 1 0 No 38 1 Yes 1 AS11_04_3/Other 39 8961 0 0 0 No 39 1 Yes 0 AS11_04_3/Don't know 39 8961 0 1 0 No 37 1 Yes 2 BS11_04_3 Who provided Food for pregnant and breastfeeding women and small child 51 8949 1 8 1 Government 48 2 WFP 1 3 Other UN agency 0 4 NGO 0 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 2 9 Parent contribution 0 88 Don't know 0 BS11_04_3/Government 52 8948 0 1 0 No 4 1 Yes 48 BS11_04_3/WFP 52 8948 0 1 0 No 51 1 Yes 1 BS11_04_3/Other UN agency 52 8948 0 0 0 No 52 1 Yes 0 BS11_04_3/NGO 52 8948 0 1 0 No 51 1 Yes 1 BS11_04_3/Church/Mosque 52 8948 0 0 0 No 52 1 Yes 0 BS11_04_3/Community 52 8948 0 1 0 No 51 1 Yes 1 BS11_04_3/Relative(s) /Friend(s) 52 8948 0 1 0 No 51 1 Yes 1 BS11_04_3/Parent contribution 52 8948 0 1 0 No 51 1 Yes 1 BS11_04_3/Other 52 8948 0 1 0 No 50 1 Yes 2 BS11_04_3/Don't know 52 8948 0 0 0 No 52 1 Yes 0 CS11_04_3 Who provided Food for work 16 8984 1 7 1 Government 3 2 WFP 0 3 Other UN agency 1 4 NGO 0 5 Church/Mosque 0 6 Community 6 7 Relative(s) /Friend(s) 6 8 Other 0 9 Parent contribution 0 88 Don't know 0 CS11_04_3/Government 22 8978 0 1 0 No 19 1 Yes 3 CS11_04_3/WFP 22 8978 0 0 0 No 22 1 Yes 0 CS11_04_3/Other UN agency 22 8978 0 1 0 No 21 1 Yes 1 CS11_04_3/NGO 22 8978 0 0 0 No 22 1 Yes 0 CS11_04_3/Church/Mosque 22 8978 0 0 0 No 22 1 Yes 0 CS11_04_3/Community 22 8978 0 1 0 No 10 1 Yes 12 CS11_04_3/Relative(s) /Friend(s) 22 8978 0 1 0 No 10 1 Yes 12 CS11_04_3/Parent contribution 22 8978 0 1 0 No 21 1 Yes 1 CS11_04_3/Other 22 8978 0 0 0 No 22 1 Yes 0 CS11_04_3/Don't know 22 8978 0 0 0 No 22 1 Yes 0 DS11_04_3 Who provided Food for training 2 8998 2 3 1 Government 0 2 WFP 1 3 Other UN agency 1 4 NGO 0 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 9 Parent contribution 0 88 Don't know 0 DS11_04_3/Government 3 8997 0 0 0 No 3 1 Yes 0 DS11_04_3/WFP 3 8997 0 1 0 No 2 1 Yes 1 DS11_04_3/Other UN agency 3 8997 0 1 0 No 2 1 Yes 1 DS11_04_3/NGO 3 8997 0 0 0 No 3 1 Yes 0 DS11_04_3/Church/Mosque 3 8997 0 0 0 No 3 1 Yes 0 DS11_04_3/Community 3 8997 0 1 0 No 2 1 Yes 1 DS11_04_3/Relative(s) /Friend(s) 3 8997 0 1 0 No 2 1 Yes 1 DS11_04_3/Parent contribution 3 8997 0 0 0 No 3 1 Yes 0 DS11_04_3/Other 3 8997 0 0 0 No 3 1 Yes 0 DS11_04_3/Don't know 3 8997 0 0 0 No 3 1 Yes 0 ES11_04_3 Who provided Free food distributions 190 8810 1 88 1 Government 54 2 WFP 0 3 Other UN agency 2 4 NGO 10 5 Church/Mosque 14 6 Community 14 7 Relative(s) /Friend(s) 87 8 Other 1 9 Parent contribution 7 88 Don't know 1 ES11_04_3/Government 242 8758 0 1 0 No 183 1 Yes 59 ES11_04_3/WFP 242 8758 0 1 0 No 241 1 Yes 1 ES11_04_3/Other UN agency 242 8758 0 1 0 No 240 1 Yes 2 ES11_04_3/NGO 242 8758 0 1 0 No 229 1 Yes 13 ES11_04_3/Church/Mosque 242 8758 0 1 0 No 217 1 Yes 25 ES11_04_3/Community 242 8758 0 1 0 No 196 1 Yes 46 ES11_04_3/Relative(s) /Friend(s) 242 8758 0 1 0 No 107 1 Yes 135 ES11_04_3/Parent contribution 242 8758 0 1 0 No 221 1 Yes 21 ES11_04_3/Other 242 8758 0 1 0 No 241 1 Yes 1 ES11_04_3/Don't know 242 8758 0 1 0 No 241 1 Yes 1 FS11_04_3 Who provided Other food assistance programs 71 8929 1 88 1 Government 22 2 WFP 0 3 Other UN agency 0 4 NGO 2 5 Church/Mosque 10 6 Community 8 7 Relative(s) /Friend(s) 25 8 Other 2 9 Parent contribution 1 88 Don't know 1 FS11_04_3/Government 84 8916 0 1 0 No 61 1 Yes 23 FS11_04_3/WFP 84 8916 0 1 0 No 83 1 Yes 1 FS11_04_3/Other UN agency 84 8916 0 0 0 No 84 1 Yes 0 FS11_04_3/NGO 84 8916 0 1 0 No 82 1 Yes 2 FS11_04_3/Church/Mosque 84 8916 0 1 0 No 71 1 Yes 13 FS11_04_3/Community 84 8916 0 1 0 No 65 1 Yes 19 FS11_04_3/Relative(s) /Friend(s) 84 8916 0 1 0 No 47 1 Yes 37 FS11_04_3/Parent contribution 84 8916 0 1 0 No 82 1 Yes 2 FS11_04_3/Other 84 8916 0 1 0 No 81 1 Yes 3 FS11_04_3/Don't know 84 8916 0 1 0 No 83 1 Yes 1 S11_05 Did your household or one (or more) of its members benefit from any of th 8928 72 1 88 1 VUP direct support 190 2 VUP Nutrition Sensitive Direct Support 45 3 VUP public Works 152 4 VUP expanded Public Works 56 5 VUP Asset Transfer 12 7 VUP financial services loans through SACCOs 62 8 Ubudehe credit scheme/loan (individual or group) 13 9 Girinka (one cow per family) 151 10 One cup of milk per child 82 11 Others 147 88 None 8018 S11_05/VUP direct support 9000 0 0 1 0 No 8802 1 Yes 198 S11_05/VUP Nutrition Sensitive Direct Support 9000 0 0 1 0 No 8948 1 Yes 52 S11_05/VUP public Works 9000 0 0 1 0 No 8819 1 Yes 181 S11_05/VUP expanded Public Works 9000 0 0 1 0 No 8929 1 Yes 71 S11_05/VUP Asset Transfer 9000 0 0 1 0 No 8980 1 Yes 20 S11_05/VUP financial services loans through SACCOs 9000 0 0 1 0 No 8922 1 Yes 78 S11_05/Ubudehe credit scheme/loan (individual or group) 9000 0 0 1 0 No 8985 1 Yes 15 S11_05/Girinka (one cow per family) 9000 0 0 1 0 No 8807 1 Yes 193 S11_05/One cup of milk per child 9000 0 0 1 0 No 8900 1 Yes 100 S11_05/Others 9000 0 0 1 0 No 8846 1 Yes 154 S11_05/None 9000 0 0 1 0 No 982 1 Yes 8018 S11_05_0_1 What is the amount of money your household recevied in financial assi 490 8510 3 627000 84891.01 71612.263 S11_05_0_2 Please specify how many months your household has benefitted from VUP 61 8939 1 12 1 March of 2024 28 2 February of 2024 2 3 January of 2024 6 4 December of 2023 6 5 November of 2023 4 6 October of 2023 2 7 September of 2023 4 8 August of 2023 2 9 July of 2023 2 10 June of 2023 2 11 May of 2023 1 12 April of 2023 2 S11_05_0_2/March of 2024 490 8510 0 1 0 No 129 1 Yes 361 S11_05_0_2/February of 2024 490 8510 0 1 0 No 153 1 Yes 337 S11_05_0_2/January of 2024 490 8510 0 1 0 No 164 1 Yes 326 S11_05_0_2/December of 2023 490 8510 0 1 0 No 174 1 Yes 316 S11_05_0_2/November of 2023 490 8510 0 1 0 No 184 1 Yes 306 S11_05_0_2/October of 2023 490 8510 0 1 0 No 194 1 Yes 296 S11_05_0_2/September of 2023 490 8510 0 1 0 No 201 1 Yes 289 S11_05_0_2/August of 2023 490 8510 0 1 0 No 230 1 Yes 260 S11_05_0_2/July of 2023 490 8510 0 1 0 No 231 1 Yes 259 S11_05_0_2/June of 2023 490 8510 0 1 0 No 220 1 Yes 270 S11_05_0_2/May of 2023 490 8510 0 1 0 No 222 1 Yes 268 S11_05_0_2/April of 2023 490 8510 0 1 0 No 223 1 Yes 267 S11_06 Did your household or one (or more) of its members benefit from any other 9000 0 0 88 0 No 8406 1 Yes 575 88 Don't know 19 S11_07 What type of assistance was provided? 541 8459 3 14 1 Access to credit/loans for agricultural/livestock related ac 0 2 Access to credit/loans for Other NON agricultural/livestock 0 3 Agricultural input assistance (tools, seeds, fertilizer, etc 26 4 Training and technical assistance in improved agricultural/l 0 5 Large Livestock (eg. cow) 16 6 Small livestock (eg. chicken rabbits…) 29 7 Fish ponds 0 8 Veterinary services 1 9 For education (e.g. school materials) 27 10 Direct transfers (other than VUP) 106 11 medical services (including mutuelle de sante) 46 12 Construction/building materials 35 13 Water and/or sanitation 14 14 Other non food assistance 241 S11_07/Access to credit/loans for agricultural/livestock related activities (inc 575 8425 0 0 0 No 575 1 Yes 0 S11_07/Access to credit/loans for Other NON agricultural/livestock related activ 575 8425 0 1 0 No 574 1 Yes 1 S11_07/Agricultural input assistance (tools, seeds, fertilizer, etc.) 575 8425 0 1 0 No 547 1 Yes 28 S11_07/Training and technical assistance in improved agricultural/livestock prac 575 8425 0 1 0 No 574 1 Yes 1 S11_07/Large Livestock (eg. cow) 575 8425 0 1 0 No 553 1 Yes 22 S11_07/Small livestock (eg. chicken rabbits…) 575 8425 0 1 0 No 540 1 Yes 35 S11_07/Fish ponds 575 8425 0 0 0 No 575 1 Yes 0 S11_07/Veterinary services 575 8425 0 1 0 No 574 1 Yes 1 S11_07/For education (e.g. school materials) 575 8425 0 1 0 No 544 1 Yes 31 S11_07/Direct transfers (other than VUP) 575 8425 0 1 0 No 463 1 Yes 112 S11_07/medical services (including mutuelle de sante) 575 8425 0 1 0 No 510 1 Yes 65 S11_07/Construction/building materials 575 8425 0 1 0 No 532 1 Yes 43 S11_07/Water and/or sanitation 575 8425 0 1 0 No 557 1 Yes 18 S11_07/Other non food assistance 575 8425 0 1 0 No 320 1 Yes 255 AS11_07_3 Who provided Access to credit/loans for agricultural/livestock related 0 9000 1 Government 2 WFP 3 Other UN agency 4 NGO 5 Church/Mosque 6 Community 7 Relative(s) /Friend(s) 8 Other 9 Parent contribution 88 Don't know AS11_07_3/Government 0 9000 0 No 1 Yes AS11_07_3/WFP 0 9000 0 No 1 Yes AS11_07_3/Other UN agency 0 9000 0 No 1 Yes AS11_07_3/NGO 0 9000 0 No 1 Yes AS11_07_3/Church/Mosque 0 9000 0 No 1 Yes AS11_07_3/Community 0 9000 0 No 1 Yes AS11_07_3/Relative(s) /Friend(s) 0 9000 0 No 1 Yes AS11_07_3/Parent contribution 0 9000 0 No 1 Yes AS11_07_3/Other 0 9000 0 No 1 Yes AS11_07_3/Don't know 0 9000 0 No 1 Yes BS11_07_3 Who provided Access to credit/loans for Other NON agricultural/livesto 1 8999 1 1 1 Government 1 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 9 Parent contribution 0 88 Don't know 0 BS11_07_3/Government 1 8999 1 1 0 No 0 1 Yes 1 BS11_07_3/WFP 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Other UN agency 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/NGO 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Church/Mosque 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Community 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Relative(s) /Friend(s) 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Parent contribution 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Other 1 8999 0 0 0 No 1 1 Yes 0 BS11_07_3/Don't know 1 8999 0 0 0 No 1 1 Yes 0 CS11_07_3 Who provided Agricultural input assistance (tools, seeds, fertilizer, 28 8972 1 8 1 Government 26 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 1 9 Parent contribution 0 88 Don't know 0 CS11_07_3/Government 28 8972 0 1 0 No 2 1 Yes 26 CS11_07_3/WFP 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/Other UN agency 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/NGO 28 8972 0 1 0 No 27 1 Yes 1 CS11_07_3/Church/Mosque 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/Community 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/Relative(s) /Friend(s) 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/Parent contribution 28 8972 0 0 0 No 28 1 Yes 0 CS11_07_3/Other 28 8972 0 1 0 No 27 1 Yes 1 CS11_07_3/Don't know 28 8972 0 0 0 No 28 1 Yes 0 DS11_07_3 Who provided Training and technical assistance in improved agricultura 1 8999 1 1 1 Government 1 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 9 Parent contribution 0 88 Don't know 0 DS11_07_3/Government 1 8999 1 1 0 No 0 1 Yes 1 DS11_07_3/WFP 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Other UN agency 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/NGO 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Church/Mosque 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Community 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Relative(s) /Friend(s) 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Parent contribution 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Other 1 8999 0 0 0 No 1 1 Yes 0 DS11_07_3/Don't know 1 8999 0 0 0 No 1 1 Yes 0 ES11_07_3 Who provided Large Livestock (eg. cow) 21 8979 1 4 1 Government 19 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 0 9 Parent contribution 0 88 Don't know 0 ES11_07_3/Government 22 8978 0 1 0 No 3 1 Yes 19 ES11_07_3/WFP 22 8978 0 0 0 No 22 1 Yes 0 ES11_07_3/Other UN agency 22 8978 0 0 0 No 22 1 Yes 0 ES11_07_3/NGO 22 8978 0 1 0 No 19 1 Yes 3 ES11_07_3/Church/Mosque 22 8978 0 1 0 No 21 1 Yes 1 ES11_07_3/Community 22 8978 0 1 0 No 21 1 Yes 1 ES11_07_3/Relative(s) /Friend(s) 22 8978 0 0 0 No 22 1 Yes 0 ES11_07_3/Parent contribution 22 8978 0 0 0 No 22 1 Yes 0 ES11_07_3/Other 22 8978 0 0 0 No 22 1 Yes 0 ES11_07_3/Don't know 22 8978 0 0 0 No 22 1 Yes 0 FS11_07_3 Who provided Small livestock (eg. chicken rabbits…) 35 8965 1 88 1 Government 19 2 WFP 0 3 Other UN agency 1 4 NGO 13 5 Church/Mosque 0 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 1 9 Parent contribution 0 88 Don't know 1 FS11_07_3/Government 35 8965 0 1 0 No 16 1 Yes 19 FS11_07_3/WFP 35 8965 0 0 0 No 35 1 Yes 0 FS11_07_3/Other UN agency 35 8965 0 1 0 No 34 1 Yes 1 FS11_07_3/NGO 35 8965 0 1 0 No 22 1 Yes 13 FS11_07_3/Church/Mosque 35 8965 0 0 0 No 35 1 Yes 0 FS11_07_3/Community 35 8965 0 0 0 No 35 1 Yes 0 FS11_07_3/Relative(s) /Friend(s) 35 8965 0 0 0 No 35 1 Yes 0 FS11_07_3/Parent contribution 35 8965 0 0 0 No 35 1 Yes 0 FS11_07_3/Other 35 8965 0 1 0 No 34 1 Yes 1 FS11_07_3/Don't know 35 8965 0 1 0 No 34 1 Yes 1 GS11_07_3 Who provided Fish ponds 0 9000 1 Government 2 WFP 3 Other UN agency 4 NGO 5 Church/Mosque 6 Community 7 Relative(s) /Friend(s) 8 Other 9 Parent contribution 88 Don't know GS11_07_3/Government 0 9000 0 No 1 Yes GS11_07_3/WFP 0 9000 0 No 1 Yes GS11_07_3/Other UN agency 0 9000 0 No 1 Yes GS11_07_3/NGO 0 9000 0 No 1 Yes GS11_07_3/Church/Mosque 0 9000 0 No 1 Yes GS11_07_3/Community 0 9000 0 No 1 Yes GS11_07_3/Relative(s) /Friend(s) 0 9000 0 No 1 Yes GS11_07_3/Parent contribution 0 9000 0 No 1 Yes GS11_07_3/Other 0 9000 0 No 1 Yes GS11_07_3/Don't know 0 9000 0 No 1 Yes HS11_07_3 Who provided Veterinary services 1 8999 5 5 1 Government 0 2 WFP 0 3 Other UN agency 0 4 NGO 0 5 Church/Mosque 1 6 Community 0 7 Relative(s) /Friend(s) 0 8 Other 0 9 Parent contribution 0 88 Don't know 0 HS11_07_3/Government 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/WFP 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Other UN agency 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/NGO 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Church/Mosque 1 8999 1 1 0 No 0 1 Yes 1 HS11_07_3/Community 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Relative(s) /Friend(s) 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Parent contribution 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Other 1 8999 0 0 0 No 1 1 Yes 0 HS11_07_3/Don't know 1 8999 0 0 0 No 1 1 Yes 0 IS11_07_3 Who provided For education (e.g. school materials) 31 8969 1 8 1 Government 6 2 WFP 0 3 Other UN agency 2 4 NGO 15 5 Church/Mosque 5 6 Community 0 7 Relative(s) /Friend(s) 2 8 Other 1 9 Parent contribution 0 88 Don't know 0 IS11_07_3/Government 31 8969 0 1 0 No 25 1 Yes 6 IS11_07_3/WFP 31 8969 0 0 0 No 31 1 Yes 0 IS11_07_3/Other UN agency 31 8969 0 1 0 No 29 1 Yes 2 IS11_07_3/NGO 31 8969 0 1 0 No 16 1 Yes 15 IS11_07_3/Church/Mosque 31 8969 0 1 0 No 26 1 Yes 5 IS11_07_3/Community 31 8969 0 0 0 No 31 1 Yes 0 IS11_07_3/Relative(s) /Friend(s) 31 8969 0 1 0 No 29 1 Yes 2 IS11_07_3/Parent contribution 31 8969 0 0 0 No 31 1 Yes 0 IS11_07_3/Other 31 8969 0 1 0 No 30 1 Yes 1 IS11_07_3/Don't know 31 8969 0 0 0 No 31 1 Yes 0 JS11_07_3 Who provided Direct transfers (other than VUP) 106 8894 1 8 1 Government 59 2 WFP 1 3 Other UN agency 2 4 NGO 28 5 Church/Mosque 4 6 Community 0 7 Relative(s) /Friend(s) 10 8 Other 2 9 Parent contribution 0 88 Don't know 0 JS11_07_3/Government 112 8888 0 1 0 No 50 1 Yes 62 JS11_07_3/WFP 112 8888 0 1 0 No 111 1 Yes 1 JS11_07_3/Other UN agency 112 8888 0 1 0 No 109 1 Yes 3 JS11_07_3/NGO 112 8888 0 1 0 No 84 1 Yes 28 JS11_07_3/Church/Mosque 112 8888 0 1 0 No 106 1 Yes 6 JS11_07_3/Community 112 8888 0 1 0 No 109 1 Yes 3 JS11_07_3/Relative(s) /Friend(s) 112 8888 0 1 0 No 98 1 Yes 14 JS11_07_3/Parent contribution 112 8888 0 1 0 No 111 1 Yes 1 JS11_07_3/Other 112 8888 0 1 0 No 110 1 Yes 2 JS11_07_3/Don't know 112 8888 0 0 0 No 112 1 Yes 0 KS11_07_3 Who provided medical services (including mutuelle de sante) 62 8938 1 7 1 Government 47 2 WFP 0 3 Other UN agency 0 4 NGO 2 5 Church/Mosque 7 6 Community 2 7 Relative(s) /Friend(s) 4 8 Other 0 9 Parent contribution 0 88 Don't know 0 KS11_07_3/Government 65 8935 0 1 0 No 16 1 Yes 49 KS11_07_3/WFP 65 8935 0 0 0 No 65 1 Yes 0 KS11_07_3/Other UN agency 65 8935 0 0 0 No 65 1 Yes 0 KS11_07_3/NGO 65 8935 0 1 0 No 62 1 Yes 3 KS11_07_3/Church/Mosque 65 8935 0 1 0 No 58 1 Yes 7 KS11_07_3/Community 65 8935 0 1 0 No 63 1 Yes 2 KS11_07_3/Relative(s) /Friend(s) 65 8935 0 1 0 No 59 1 Yes 6 KS11_07_3/Parent contribution 65 8935 0 1 0 No 64 1 Yes 1 KS11_07_3/Other 65 8935 0 0 0 No 65 1 Yes 0 KS11_07_3/Don't know 65 8935 0 0 0 No 65 1 Yes 0 LS11_07_3 Who provided Construction/building materials 41 8959 1 88 1 Government 31 2 WFP 0 3 Other UN agency 1 4 NGO 4 5 Church/Mosque 2 6 Community 1 7 Relative(s) /Friend(s) 1 8 Other 0 9 Parent contribution 0 88 Don't know 1 LS11_07_3/Government 43 8957 0 1 0 No 10 1 Yes 33 LS11_07_3/WFP 43 8957 0 0 0 No 43 1 Yes 0 LS11_07_3/Other UN agency 43 8957 0 1 0 No 42 1 Yes 1 LS11_07_3/NGO 43 8957 0 1 0 No 38 1 Yes 5 LS11_07_3/Church/Mosque 43 8957 0 1 0 No 41 1 Yes 2 LS11_07_3/Community 43 8957 0 1 0 No 41 1 Yes 2 LS11_07_3/Relative(s) /Friend(s) 43 8957 0 1 0 No 42 1 Yes 1 LS11_07_3/Parent contribution 43 8957 0 0 0 No 43 1 Yes 0 LS11_07_3/Other 43 8957 0 0 0 No 43 1 Yes 0 LS11_07_3/Don't know 43 8957 0 1 0 No 42 1 Yes 1 MS11_07_3 Who provided Water and/or sanitation 18 8982 1 4 1 Government 17 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 9 Parent contribution 0 88 Don't know 0 MS11_07_3/Government 18 8982 0 1 0 No 1 1 Yes 17 MS11_07_3/WFP 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Other UN agency 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/NGO 18 8982 0 1 0 No 17 1 Yes 1 MS11_07_3/Church/Mosque 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Community 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Relative(s) /Friend(s) 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Parent contribution 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Other 18 8982 0 0 0 No 18 1 Yes 0 MS11_07_3/Don't know 18 8982 0 0 0 No 18 1 Yes 0 NS11_07_3 Who provided Other non food assistance 249 8751 1 88 1 Government 176 2 WFP 0 3 Other UN agency 2 4 NGO 40 5 Church/Mosque 2 6 Community 4 7 Relative(s) /Friend(s) 18 8 Other 3 9 Parent contribution 1 88 Don't know 3 NS11_07_3/Government 255 8745 0 1 0 No 75 1 Yes 180 NS11_07_3/WFP 255 8745 0 0 0 No 255 1 Yes 0 NS11_07_3/Other UN agency 255 8745 0 1 0 No 252 1 Yes 3 NS11_07_3/NGO 255 8745 0 1 0 No 215 1 Yes 40 NS11_07_3/Church/Mosque 255 8745 0 1 0 No 253 1 Yes 2 NS11_07_3/Community 255 8745 0 1 0 No 249 1 Yes 6 NS11_07_3/Relative(s) /Friend(s) 255 8745 0 1 0 No 233 1 Yes 22 NS11_07_3/Parent contribution 255 8745 0 1 0 No 252 1 Yes 3 NS11_07_3/Other 255 8745 0 1 0 No 252 1 Yes 3 NS11_07_3/Don't know 255 8745 0 1 0 No 252 1 Yes 3 S0_N_EID Nutritionist ID 7205 1795 2 147 2 INGABIRE Sandrine 226 7 Umutoni Josiane 242 12 Uwanyirigira Joselyne 215 17 Kagabo Nicole 255 22 UMUGWANEZA STELLA 251 27 MUKABUHANUZI ANNE 266 32 URIMUBENSHI JEAN MARC 224 37 IRIKUJIJE Modeste 231 42 Pascasie NYIRAZIRIKANA 228 47 UDAHEMUKA Jean Prospere 243 52 KUBANA Claire 237 57 Rwamukwaya Elie 251 62 Turiya chantal 230 67 Umutesi Flavia 239 72 Mugisha Sandrine 232 77 MUNYAMPIRWA ESPERANCE 237 82 MUJYAMBERE ORESTE 246 87 KARANGWA JEAN PIERRE 259 92 Mukunduhirwe Genevieve 244 97 NDIKUBWIMANA Jean D'Amour 235 102 Bihogo Grace 249 107 Nyiraneza Beata 228 112 Murebwayire Francine 243 117 Mukwende Alexis 243 122 UWAMAHORO Julienne 254 127 UWANYIRIGIRA Liliane 243 132 Safari Jean Claude 240 137 SEBAKUNGU Joel 240 142 MANIRAGABA Magnifique 237 147 Mukankusi Delphine 237 S13_01_01 Does your household know how to prepare adequate food? 9000 0 0 1 0 No 3564 1 Yes 5436 S13_01_01_1 If yes, what are the components of an adequate food? 22 8978 1 8 1 Cereals and Tubers 8 2 Legumes 1 3 Fresh meat 0 4 Dairy (Milk…) 0 5 Eggs 0 6 Vitamin A rich fruits and Vegetables 7 7 Other fruits 2 8 Other Vegetables 4 21 Others, Specify 0 S13_01_01_1/Cereals and Tubers 5436 3564 0 1 0 No 212 1 Yes 5224 S13_01_01_1/Legumes 5436 3564 0 1 0 No 377 1 Yes 5059 S13_01_01_1/Fresh meat 5436 3564 0 1 0 No 1674 1 Yes 3762 S13_01_01_1/Dairy (Milk…) 5436 3564 0 1 0 No 2247 1 Yes 3189 S13_01_01_1/Eggs 5436 3564 0 1 0 No 2484 1 Yes 2952 S13_01_01_1/Vitamin A rich fruits and Vegetables 5436 3564 0 1 0 No 1868 1 Yes 3568 S13_01_01_1/Other fruits 5436 3564 0 1 0 No 2569 1 Yes 2867 S13_01_01_1/Other Vegetables 5436 3564 0 1 0 No 2194 1 Yes 3242 S13_01_01_1/Others, Specify 5436 3564 0 1 0 No 5338 1 Yes 98 S13_01_02 Does your household prepare adequate food? 9000 0 0 88 0 No 4722 1 Yes 3946 88 Don't know 332 S13_01_03 If no or Don't know, why? 4722 4278 1 21 1 Lack of knowledge on adequate food preparation 1846 2 Lack of Capacity of affording adequate food 2754 3 Lack of time to prepare. 108 21 Others, Specify 14 Starch consunsumption in last 7 days 9000 0 4 7 6.888 0.513 Pulses consunsumption in last 7 days 9000 0 0 7 5.827 1.911 Milk consunsumption in last 7 days 9000 0 0 7 1.071 2.119 Meat consunsumption in last 7 days 9000 0 0 7 1.006 1.65 Vegetables consunsumption in last 7 days 9000 0 0 7 4.765 2.146 Fruit consunsumption in last 7 days 9000 0 0 7 1.222 1.897 Oil consunsumption in last 7 days 9000 0 0 7 4.778 2.39 Sugar consunsumption in last 7 days 9000 0 0 7 2.613 2.775 Food Consumption Score 9000 0 8 112 49.247 16.779 Food Consumption Group 9000 0 1 3 1 Poor Consumption 157 2 Borderline Consumption 1425 3 Acceptable Consumption 7418 4 Points FCG 9000 0 1 4 1 Acceptable 4343 2 Acceptable and rCSI>4 3049 3 Borderline 1442 4 Poor 166 Reduced coping strategies index 9000 0 0 56 6.803 8.818 Monthly food item expenditures 9000 0 0 840000 39677.85 49645.637 Non food expenditure - 1 Month 9000 0 0 1229400 34529.21 65459.28 Non food expenditure - 3 Months 9000 0 0 9023333.333 40426.507 193375.352 Non food item expenditures 9000 0 0 9447833.333 74955.717 224828.317 Total monthly household expenditures 9000 0 0 9919833.333 114633.567 254033.243 Share food expenditure 8990 10 0 1 0.474 0.211 Share non food expenditure 8990 10 0 1 0.526 0.211 Check expenditure shares 8990 10 1 1 1 0 Food expenditure share categories 8989 11 1 4 1 <50% 4926 2 50-64% 2026 3 65-74% 1040 4 >75% 997 Maximum coping behaviour 9000 0 1 4 1 HH not adopting coping strategies 4120 2 Stress coping strategies 2191 3 crisis coping strategies 2177 4 emergencies coping strategies 512 Household food security 9000 0 1 4 1 Food secure 3035 2 Marginally food secure 4261 3 Moderately food insecure 1602 4 Severely food insecure 102 Household food security - Only two categories 9000 0 1 2 1 Food secure 7296 2 Food insecure 1704 Annual household expenditures 9000 0 0 119038000 1375602.803 3048398.912 Annual per capita expenditures 9000 0 0 30724000 374551.978 820899.833 Tropical Livestock Unit 9000 0 0 19.8 0.369 0.826 Food group hem iron 9000 0 0 21 0.902 1.688 Food group vitamin A 9000 0 0 37 7.437 5.334 Food group protein 9000 0 0 38 8.183 4.227 FG_VitACategory 9000 0 1 3 1 Never consumed 466 2 Consumed sometimes 3830 3 Consumed at least daily 4704 FG_ProteinCategory 9000 0 1 3 1 Never consumed 122 2 Consumed sometimes 2187 3 Consumed at least daily 6691 FG_HIronCategory 9000 0 1 3 1 Never consumed 6077 2 Consumed sometimes 2709 3 Consumed at least daily 214 Relied on less preferred and less expensive food 9000 0 0 1 0 No 3563 1 Yes 5437 Borrowed food or rely on help from a relative or friend 9000 0 0 1 0 No 6906 1 Yes 2094 Reduceed number of meals eaten in a day 9000 0 0 1 0 No 5160 1 Yes 3840 Limited portion size of meals at meal times 9000 0 0 1 0 No 7524 1 Yes 1476 Restricted consumption by adults in order for small children to eat 9000 0 0 1 0 No 6319 1 Yes 2681 Household wealth index 9000 0 1 5 1 Poorest 1586 2 Poor 2226 3 Medium 1570 4 Wealth 1813 5 Wealthiest 1805 _parent_index 4715 0 4 8999 4645.682 2610.479 S0_C_Prov Province 4715 0 1 5 1 City of Kigali 512 2 Southern 1235 3 Western 1163 4 Northern 728 5 Estern 1077 S0_D_Dist District 4715 0 11 57 11 Nyarugenge 162 12 Gasabo 169 13 Kicukiro 181 21 Nyanza 131 22 Gisagara 163 23 Nyaruguru 174 24 Huye 150 25 Nyamagabe 153 26 Ruhango 157 27 Muhanga 161 28 Kamonyi 146 31 Karongi 161 32 Rutsiro 154 33 Rubavu 190 34 Nyabihu 145 35 Ngororero 159 36 Rusizi 185 37 Nyamasheke 169 41 Rulindo 141 42 Gakenke 120 43 Musanze 152 44 Burera 156 45 Gicumbi 159 51 Rwamagana 135 52 Nyagatare 174 53 Gatsibo 173 54 Kayonza 148 55 Kirehe 155 56 Ngoma 139 57 Bugesera 153 S13_01 Child index from demograpy section 4715 0 2 15 4.791 1.765 S13_01_2 Child's name 0 0 S13_01_3 Child date of birth 4715 2019-05-03 2024-05-31 S13_01_4 Child age in months 4715 0 0 59.99 29.717 16.988 S13_01_5 Child sex 4715 0 1 2 1 Male 2387 2 Female 2328 S13_02 Primary Caregiver of Child 4715 0 1 6 1 Mother 4315 2 Father 49 3 Grandmother 262 4 Close family relative 42 5 Other relationship 15 6 Homemaid 32 S13_03 Respondent's relationship with child? 4715 0 1 6 1 Mother 4260 2 Father 94 3 Grandmother 261 4 Close family relative 58 5 Other relationship 19 6 Homemaid 23 S13_04_01 Does [CHILD_NAME] present any chronic conditions desease confirmed by 4715 0 0 1 0 No 4678 1 Yes 37 S13_04_01_1 If yes, what are these chronic conditions? 37 0 1 2 2 2 21 13 4 12 6 8 S13_04_01_1/Diabetes 37 4678 0 1 0 No 35 1 Yes 2 S13_04_01_1/Cardiac diseases (High blood pressure, heart disease, high blood lip 37 4678 0 1 0 No 35 1 Yes 2 S13_04_01_1/Cancer 37 4678 0 0 0 No 37 1 Yes 0 S13_04_01_1/Acquired Neurodegenerative disorders (Alzheimer, Epilepsy, Motor neu 37 4678 0 1 0 No 25 1 Yes 12 S13_04_01_1/Obesity 37 4678 0 0 0 No 37 1 Yes 0 S13_04_01_1/Lung disease 37 4678 0 1 0 No 29 1 Yes 8 S13_04_01_1/Osteoarthritis 37 4678 0 0 0 No 37 1 Yes 0 S13_04_01_1/Depression 37 4678 0 0 0 No 37 1 Yes 0 S13_04_01_1/Dementia 37 4678 0 0 0 No 37 1 Yes 0 S13_04_01_1/Others 37 4678 0 1 0 No 24 1 Yes 13 S13_05 Is [CHILD_NAME] currently present for interview and anthropometric measur 4715 0 1 1 0 No 0 1 Yes 4715 S13_06 When born, how big in Kg was [CHILD_NAME], refer to the child growth card 4715 0 0.8 2 0.9 4 1.0 6 1.1 2 1.2 5 1.3 4 1.4 5 1.5 8 1.6 5 1.7 10 1.8 13 1.9 11 2 1 2.0 43 2.1 31 2.2 48 2.3 42 2.4 63 2.5 217 2.6 111 2.7 179 2.8 375 2.9 135 3 21 3.0 576 3.1 226 3.2 427 3.3 175 3.4 218 3.5 418 3.6 157 3.7 150 3.8 352 3.9 93 4 2 4.0 141 4.1 24 4.2 43 4.3 16 4.4 18 4.5 34 4.6 9 4.7 12 4.8 29 4.9 4 5.0 18 5.1 5 5.2 5 5.4 1 5.5 1 5.6 1 5.8 2 6.0 2 6.2 1 77 209 8.9 1 9.0 2 9.4 1 9.9 1 S13_07 Since September 2023 (last 6 months), has [NAME] received vit A drops? (s 4261 454 0 88 0 No 325 1 Yes 3897 88 Don't know 39 S13_08 During last six months, did [CHILD_NAME] receive deworming tablets? 3807 908 0 88 0 No 391 1 Yes 3393 88 Don't know 23 S13_09 Has [CHILD_NAME] had illness with fever during last two weeks? 4261 454 0 88 0 No 2533 1 Yes 1727 88 Don't know 1 S13_10 Has [CHILD_NAME] had illness with cough during last two weeks? 4261 454 0 88 0 No 1827 1 Yes 2433 88 Don't know 1 S13_11 Has [CHILD_NAME] had illness with diarrhea during last two weeks? 4261 454 0 88 0 No 3482 1 Yes 778 88 Don't know 1 S13_11_2 During the last 2 weeks when [CHILD_NAME] had diarrhea, how did you tre 778 0 1 21 1 2 5 1 2 3 3 1 2 3 4 1 1 2 3 4 8 1 1 2 4 6 7 1 1 2 4 8 1 1 2 6 1 1 2 8 1 1 3 2 1 3 2 1 1 3 4 1 1 3 6 2 1 3 8 1 1 4 2 1 1 4 2 5 8 6 7 1 1 6 5 1 7 1 1 8 2 2 12 2 1 4 2 3 1 2 3 1 8 1 2 3 4 7 1 2 4 1 3 1 3 1 1 3 1 2 1 3 2 2 3 4 1 3 4 7 1 4 4 4 1 2 4 1 2 3 1 4 5 1 5 6 5 3 1 6 1 5 7 1 6 50 6 1 1 6 2 1 6 7 28 6 7 2 1 6 7 3 1 6 7 5 1 6 7 8 1 7 250 7 1 2 7 3 2 7 3 4 5 1 7 3 5 1 1 7 4 1 7 4 2 1 1 7 4 6 1 7 5 1 7 5 6 1 7 6 28 7 8 2 7 8 1 1 8 214 8 1 2 1 8 7 2 88 90 S13_11_2/Was given more drinks 778 3937 0 1 0 No 708 1 Yes 70 S13_11_2/Was given more food 778 3937 0 1 0 No 733 1 Yes 45 S13_11_2/Was frequently breastfed 778 3937 0 1 0 No 749 1 Yes 29 S13_11_2/Was given clean safe drinking water 778 3937 0 1 0 No 755 1 Yes 23 S13_11_2/Was given RUTF 778 3937 0 1 0 No 763 1 Yes 15 S13_11_2/Was given homemade or packaged (ReSoMal) oral rehidration salts 778 3937 0 1 0 No 653 1 Yes 125 S13_11_2/Was zinc supplement given along with the home or packaged oral rehidrat 778 3937 0 1 0 No 446 1 Yes 332 S13_11_2/Was given other diarrhea treatment 778 3937 0 1 0 No 549 1 Yes 229 S13_11_2/Nothing was done 778 3937 0 1 0 No 688 1 Yes 90 S13_11_1 Has [CHILD_NAME] had illness with mounth during last two weeks? 4261 454 0 88 0 No 4083 1 Yes 174 88 Don't know 4 S13_11_1_1/Pain in teeth 174 4541 0 1 0 No 129 1 Yes 45 S13_11_1_1/discolored teeth 174 4541 0 1 0 No 167 1 Yes 7 S13_11_1_1/Crooked teeth 174 4541 0 1 0 No 173 1 Yes 1 S13_11_1_1/bad breath 174 4541 0 1 0 No 155 1 Yes 19 S13_11_1_1/bleeding gums 174 4541 0 1 0 No 156 1 Yes 18 S13_11_1_1/Other 174 4541 0 1 0 No 74 1 Yes 100 S13_12 During last two weeks when [CHILD_NAME] was sick, did s/he see any health 2780 1935 0 4 0 None 736 1 Staff at health facility 1429 2 Community health care worker 191 3 Staff at Private hospital 189 4 Traditional 235 S13_13 Does [CHILD_NAME] have his/her hands washed before eating/meal 4261 454 0 88 0 No 489 1 Yes 3759 88 Don't know 13 S13_13 What did [CHILD_NAME] use to wash hand 3759 956 1 2 1 Soap 3326 2 Water only 433 S13_14 Did [CHILD_NAME] sleep under a mosquito net last night? 4261 454 0 1 0 No 1015 1 Yes 3246 AS13_15 Was [CHILD_NAME] breastfed yesterday during day or at night? 1896 2819 0 1 0 No 110 1 Yes 1786 AS13_15_2 Has [CHILD_NAME]ever been breastfed? 110 4605 0 1 0 No 6 1 Yes 104 AS13_15_3 How long after birth did you first put [CHILD_NAME]to the breast after 1890 2825 1 4 1 Less than 1 hour 1585 2 Between 1 -23 hours 206 3 24 hours or more 78 4 Don't remember 21 BS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink Plain water 1896 2819 0 88 0 No 1109 1 Yes 785 88 Don't know 2 CS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any drinks ma 1896 2819 0 1 0 No 1858 1 Yes 38 88 Don't know 0 CS13_15_2 How many times did [CHILD_NAME] consume this Infant formula 38 4677 1 4 2.395 0.974 DS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any Milk made 1896 2819 0 88 0 No 1664 1 Yes 231 88 Don't know 1 DS13_15_2 How many times did [CHILD_NAME] consume Milk (tinned, powdered, fresh 231 4484 1 7 2.442 1.192 ES13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any juice or 1896 2819 0 1 0 No 1742 1 Yes 154 88 Don't know 0 FS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any clear bro 1896 2819 0 88 0 No 1664 1 Yes 231 88 Don't know 1 GS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any sour milk 1896 2819 0 1 0 No 1835 1 Yes 61 88 Don't know 0 HS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any fortified 1896 2819 0 88 0 No 1672 1 Yes 218 88 Don't know 6 HS13_15_2 How many times did [CHILD_NAME] consume FBF (shisha kibondo)? 218 4497 1 77 3.156 5.139 IS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any other FBF 1896 2819 0 1 0 No 1823 1 Yes 73 88 Don't know 0 JS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any thin porr 1896 2819 0 88 0 No 961 1 Yes 933 88 Don't know 2 KS13_15 Yesterday, during the day or night, did [CHILD_NAME] drinkTea or coffee 1896 2819 0 88 0 No 1860 1 Yes 35 88 Don't know 1 LS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink any other wat 1896 2819 0 1 0 No 1819 1 Yes 77 88 Don't know 0 MS13_15 Yesterday, during the day or night, did [CHILD_NAME] drink anything from 1896 2819 0 88 0 No 1739 1 Yes 156 88 Don't know 1 AS13_16 Yesterday, during the day or night, did [child name] eat any Porridge, b 1442 3273 0 88 0 No 536 1 Yes 901 88 Don't know 5 BS13_16 Yesterday, during the day or night, did [child name] eat any White potat 1442 3273 0 88 0 No 425 1 Yes 1012 88 Don't know 5 BS13_16_1 Yesterday, during the day or night, did [child name] eat any fats incl 1442 3273 0 88 0 No 575 1 Yes 851 88 Don't know 16 CS13_16 Yesterday, during the day or night, did [child name] eat any Legumes and 1442 3273 0 88 0 No 362 1 Yes 1078 88 Don't know 2 DS13_16 Yesterday, during the day or night, did [child name] eat any Milk, Chees 1442 3273 0 88 0 No 1391 1 Yes 47 88 Don't know 4 ES13_16 Yesterday, during the day or night, did [child name] eat any Liver, kidn 1442 3273 0 88 0 No 1421 1 Yes 15 88 Don't know 6 FS13_16 Yesterday, during the day or night, did [child name] eat any meat, such 1442 3273 0 88 0 No 1395 1 Yes 40 88 Don't know 7 GS13_16 Yesterday, during the day or night, did [child name] eat any Fresh or dr 1442 3273 0 88 0 No 1126 1 Yes 312 88 Don't know 4 HS13_16 Yesterday, during the day or night, did [child name] eat any Eggs 1442 3273 0 88 0 No 1309 1 Yes 127 88 Don't know 6 IS13_16 Yesterday, during the day or night, did [child name] eat any Vit A rich 1442 3273 0 88 0 No 1149 1 Yes 291 88 Don't know 2 JS13_16 Yesterday, during the day or night, did [child name] eat any dark green 1442 3273 0 88 0 No 390 1 Yes 1051 88 Don't know 1 KS13_16 Yesterday, during the day or night, did [child name] eat any Ripe mangoe 1442 3273 0 88 0 No 1266 1 Yes 173 88 Don't know 3 LS13_16 Yesterday, during the day or night, did [child name] eat any other fruit 1442 3273 0 88 0 No 953 1 Yes 484 88 Don't know 5 MS13_16 Yesterday, during the day or night, did [child name] eat any Foods made 1442 3273 0 88 0 No 1360 1 Yes 76 88 Don't know 6 NS13_16 Yesterday, during the day or night, did [child name] eat any shisha kibo 1224 3491 0 88 0 No 1209 1 Yes 6 88 Don't know 9 OS13_16 Yesterday, during the day or night, did [child name] eat any other FBF ( 1442 3273 0 88 0 No 1377 1 Yes 54 88 Don't know 11 PS13_16 Yesterday, during the day or night, did [child name] eat any RUTF (e.g. 1442 3273 0 88 0 No 1428 1 Yes 8 88 Don't know 6 QS13_16 Yesterday, during the day or night, did [child name] eat any bio-fortied 1442 3273 0 88 0 No 1424 1 Yes 12 88 Don't know 6 RS13_16_0 Is the [child name] ernolled in "Ongera"Micronutrient powder or sprink 1172 3543 0 88 0 No 1065 1 Yes 104 88 Don't know 3 RS13_16 Yesterday, during the day or night, did [child name] eat any food to whi 374 4341 0 88 0 No 290 1 Yes 82 88 Don't know 2 RS13_16_1 During the last 7 days, how many time [child name] ate Ongera products 104 4611 0 6 2.462 1.607 S13_17 Yesteday, during day or night how many times did [child name] eat solid, 1442 3273 0 77 2.469 4.929 S13_18 Is [child name] enrolled in Shisha Kibondo? 1442 3273 0 88 0 No 1205 1 Yes 234 88 Don't know 3 S13_19 Is [child name] enrolled in any supplementary feeding programme? 1442 3273 0 88 0 No 1295 1 Yes 144 88 Don't know 3 S13_19_2 If any, which supplementary feeding programme? 144 4571 1 3 1 (non-hospitalized) Therapeutic feeding 39 2 (hospitalized, inpatient) Therapeutic feeding 1 3 Supplementary feeding 104 S13_20 Does [child name] present any disability preventing him or her from being 4261 0 0 4260 4 1 S13_20/None 4261 454 0 1 0 No 1 1 Yes 4260 S13_20/Can't measure Odema 4261 454 0 0 0 No 4261 1 Yes 0 S13_20/Can't measure weight 4261 454 0 0 0 No 4261 1 Yes 0 S13_20/Can't measure height 4261 454 0 0 0 No 4261 1 Yes 0 S13_20/Can't measure MUAC 4261 454 0 1 0 No 4260 1 Yes 1 muac Child MUAC in milmeters 4261 454 0 192 151.232 12.226 oedema Does [child name] present bilateral pitting (edema)? 4261 454 0 1 0 No 4257 1 Yes 4 weight Child's weight 4261 0 0 4 10 40 10.1 44 10.2 66 10.3 47 10.4 47 10.5 34 10.6 47 10.7 43 10.8 56 10.9 55 11 54 11.1 59 11.2 55 11.3 46 11.4 56 11.5 57 11.6 49 11.7 50 11.8 54 11.9 55 12 68 12.1 49 12.2 56 12.3 43 12.4 49 12.5 59 12.6 53 12.7 50 12.8 57 12.9 56 13 55 13.1 48 13.2 42 13.3 47 13.4 59 13.5 48 13.6 60 13.7 41 13.8 55 13.9 53 14 45 14.1 39 14.2 52 14.3 54 14.4 42 14.5 34 14.6 47 14.7 41 14.8 30 14.9 43 15 32 15.1 32 15.2 41 15.3 34 15.4 18 15.5 33 15.6 29 15.7 29 15.8 28 15.9 35 16 21 16.1 36 16.2 25 16.3 19 16.4 26 16.5 22 16.6 13 16.7 27 16.8 18 16.9 9 17 22 17.1 14 17.2 10 17.3 13 17.4 16 17.5 6 17.6 12 17.7 12 17.8 11 17.9 14 18 10 18.1 9 18.2 5 18.3 9 18.4 7 18.5 7 18.6 5 18.7 7 18.8 2 18.9 5 19 3 19.1 2 19.2 4 19.3 4 19.5 3 19.6 2 19.7 2 19.8 1 19.9 1 20 2 20.1 1 20.2 1 20.4 3 20.7 1 20.9 1 21 2 21.3 1 21.4 1 21.7 1 21.9 1 22.6 1 5.6 1 5.7 1 5.8 1 5.9 2 6 3 6.1 3 6.2 4 6.3 6 6.4 1 6.5 8 6.6 12 6.7 8 6.8 10 6.9 15 7 14 7.1 8 7.2 20 7.3 18 7.4 21 7.5 13 7.6 18 7.7 27 7.8 18 7.9 17 8 24 8.1 26 8.2 27 8.3 43 8.4 33 8.5 37 8.6 46 8.7 28 8.8 39 8.9 34 9 45 9.1 25 9.2 42 9.3 38 9.4 49 9.5 43 9.6 40 9.7 45 9.8 55 9.9 39 height Child's height in cm 4261 0 100 20 100.1 11 100.2 16 100.3 7 100.4 15 100.5 6 100.6 9 100.7 10 100.8 9 100.9 8 101 13 101.1 7 101.2 11 101.3 7 101.4 7 101.5 8 101.6 12 101.7 11 101.8 8 101.9 7 102 10 102.1 6 102.2 10 102.3 12 102.4 6 102.5 6 102.6 2 102.7 11 102.8 8 102.9 7 103 11 103.1 5 103.2 7 103.3 9 103.4 3 103.5 3 103.6 7 103.7 4 103.8 7 103.9 9 104 8 104.1 6 104.2 2 104.3 6 104.4 6 104.5 6 104.6 4 104.7 3 104.8 4 104.9 4 105 8 105.1 4 105.2 7 105.3 2 105.4 3 105.5 4 105.6 1 105.7 2 105.8 5 105.9 2 106 4 106.1 2 106.2 4 106.3 4 106.4 3 106.5 4 106.6 2 106.7 3 106.8 1 106.9 2 107 3 107.1 3 107.2 2 107.3 1 107.4 2 107.5 1 107.6 7 107.7 1 107.8 4 107.9 4 108 3 108.1 3 108.2 3 108.4 1 108.7 1 108.8 2 108.9 1 109 5 109.1 1 109.2 4 109.3 3 109.5 3 109.6 1 109.7 1 109.8 2 109.9 2 110 2 110.3 1 110.4 2 110.6 1 110.8 1 111 2 111.1 1 111.2 1 111.3 1 112 2 112.1 1 112.2 1 112.4 1 113 1 113.5 1 113.6 1 114.7 1 115.5 1 116 1 60.8 1 61 1 61.2 1 61.7 3 62.1 1 62.2 3 62.3 1 62.4 1 62.5 1 62.6 1 62.8 1 62.9 1 63.1 1 63.2 7 63.3 2 63.5 2 63.6 1 63.7 1 63.8 1 63.9 3 64 4 64.1 3 64.2 1 64.3 4 64.4 4 64.5 3 64.6 3 64.9 3 65 4 65.1 2 65.2 5 65.3 3 65.4 4 65.5 3 65.6 5 65.7 2 65.8 6 65.9 3 66 6 66.1 1 66.2 6 66.3 3 66.4 8 66.5 1 66.6 3 66.7 4 66.8 3 66.9 3 67 7 67.1 3 67.2 5 67.3 11 67.4 5 67.5 12 67.6 5 67.7 3 67.8 5 67.9 5 68 3 68.1 7 68.2 3 68.3 5 68.4 7 68.5 1 68.6 7 68.7 6 68.8 4 68.9 5 69 9 69.1 3 69.2 4 69.3 4 69.4 7 69.5 6 69.6 8 69.7 3 69.8 8 69.9 8 70 12 70.1 6 70.2 8 70.3 7 70.4 9 70.5 11 70.6 5 70.7 1 70.8 3 70.9 5 71 9 71.1 12 71.2 5 71.3 14 71.4 11 71.5 6 71.6 5 71.7 8 71.8 7 71.9 6 72 8 72.1 10 72.2 6 72.3 10 72.4 10 72.5 9 72.6 10 72.7 3 72.8 6 72.9 6 73 14 73.1 7 73.2 6 73.3 15 73.4 9 73.5 8 73.6 6 73.7 10 73.8 4 73.9 8 74 13 74.1 9 74.2 15 74.3 6 74.4 13 74.5 10 74.6 10 74.7 4 74.8 10 74.9 10 75 7 75.1 11 75.2 10 75.3 16 75.4 11 75.5 8 75.6 13 75.7 8 75.8 11 75.9 4 76 13 76.1 7 76.2 5 76.3 13 76.4 10 76.5 13 76.6 9 76.7 7 76.8 5 76.9 5 77 8 77.1 6 77.2 11 77.3 20 77.4 13 77.5 11 77.6 10 77.7 9 77.8 11 77.9 6 78 12 78.1 10 78.2 8 78.3 14 78.4 9 78.5 9 78.6 7 78.7 8 78.8 7 78.9 7 79 12 79.1 8 79.2 16 79.3 16 79.4 12 79.5 17 79.6 12 79.7 6 79.8 8 79.9 13 80 19 80.1 17 80.2 10 80.3 11 80.4 9 80.5 14 80.6 14 80.7 9 80.8 11 80.9 9 81 11 81.1 6 81.2 24 81.3 14 81.4 13 81.5 18 81.6 13 81.7 17 81.8 9 81.9 12 82 15 82.1 9 82.2 13 82.3 16 82.4 13 82.5 10 82.6 16 82.7 10 82.8 5 82.9 8 83 15 83.1 18 83.2 16 83.3 18 83.4 13 83.5 14 83.6 8 83.7 10 83.8 9 83.9 8 84 10 84.1 7 84.2 11 84.3 21 84.4 17 84.5 15 84.6 21 84.7 16 84.8 9 84.9 10 85 14 85.1 15 85.2 18 85.3 20 85.4 12 85.5 16 85.6 16 85.7 17 85.8 8 85.9 9 86 13 86.1 14 86.2 11 86.3 15 86.4 9 86.5 16 86.6 23 86.7 14 86.8 9 86.9 9 87 17 87.1 9 87.2 18 87.3 12 87.4 12 87.5 14 87.6 16 87.7 13 87.8 12 87.9 9 88 11 88.1 6 88.2 14 88.3 7 88.4 17 88.5 13 88.6 5 88.7 13 88.8 13 88.9 12 89 23 89.1 14 89.2 26 89.3 20 89.4 10 89.5 20 89.6 13 89.7 17 89.8 10 89.9 12 90 22 90.1 15 90.2 17 90.3 17 90.4 12 90.5 12 90.6 9 90.7 13 90.8 13 90.9 11 91 17 91.1 13 91.2 21 91.3 10 91.4 9 91.5 12 91.6 13 91.7 13 91.8 8 91.9 10 92 16 92.1 11 92.2 12 92.3 14 92.4 13 92.5 17 92.6 12 92.7 11 92.8 8 92.9 11 93 14 93.1 10 93.2 16 93.3 17 93.4 13 93.5 17 93.6 20 93.7 7 93.8 8 93.9 7 94 11 94.1 15 94.2 14 94.3 17 94.4 13 94.5 9 94.6 9 94.7 16 94.8 8 94.9 9 95 16 95.1 14 95.2 9 95.3 15 95.4 13 95.5 15 95.6 14 95.7 16 95.8 11 95.9 5 96 15 96.1 8 96.2 11 96.3 12 96.4 20 96.5 8 96.6 13 96.7 11 96.8 5 96.9 5 97 8 97.1 11 97.2 16 97.3 12 97.4 8 97.5 15 97.6 3 97.7 16 97.8 11 97.9 6 98 18 98.1 7 98.2 13 98.3 5 98.4 11 98.5 8 98.6 11 98.7 13 98.8 7 98.9 9 99 6 99.1 8 99.2 13 99.3 8 99.4 6 99.5 9 99.6 6 99.7 15 99.8 4 99.9 5 stunted Stunting results 4261 454 0 2 0 Normal 2994 1 Moderately stunted 937 2 Severely stunted 330 wasted Wasting results 4261 454 0 2 0 Normal 4171 1 Moderately wasted 86 2 Severely wasted 4 underweight Underweight results 4261 454 0 2 0 Normal 3905 1 Moderately underweight 314 2 Severely underweight 42 4715 0 1 2 1 Urban 1342 2 Rural 3373 _parent_index 6891 0 4 9000 4539.431 2619.825 S0_C_Prov Province 6891 0 1 5 1 City of Kigali 821 2 Southern Province 1687 3 Western Province 1579 4 Northern Province 1157 5 Estern Province 1647 S0_D_Dist District 6891 0 11 57 11 Nyarugenge 275 12 Gasabo 258 13 Kicukiro 288 21 Nyanza 195 22 Gisagara 203 23 Nyaruguru 245 24 Huye 208 25 Nyamagabe 203 26 Ruhango 216 27 Muhanga 205 28 Kamonyi 212 31 Karongi 234 32 Rutsiro 214 33 Rubavu 232 34 Nyabihu 224 35 Ngororero 217 36 Rusizi 230 37 Nyamasheke 228 41 Rulindo 219 42 Gakenke 211 43 Musanze 230 44 Burera 240 45 Gicumbi 257 51 Rwamagana 223 52 Nyagatare 230 53 Gatsibo 291 54 Kayonza 225 55 Kirehe 229 56 Ngoma 214 57 Bugesera 235 S12_01_3 Woman's age 6891 0 15 49 30.86 9.158 S12_01_4 Woman's literacy level 6891 0 0 2 0 No 1093 1 Yes (both read and write) 5585 2 Yes (read only) 213 S12_01_5 Woman's education level 6891 0 1 88 1 No school 797 2 Some/still primary 2261 3 Completed primary 1615 4 Vocational school 25 5 Some/still secondary 1342 6 Completed secondary 587 7 Some/still university 91 8 Completed university 136 88 Don't know 37 S12_02 Is [WOMEN_NAME] currently present for interview? 6891 0 1 1 0 No 0 1 Yes 6891 S12_03 Are you currently using any contraceptive methods? 6891 0 0 1 0 No 3217 1 Yes 3674 S12_03_2 Which method do you use? 3674 3217 1 88 1 Cervical mucus 117 2 Beads 47 3 Pills 373 4 Condom 50 5 Injectables 1243 6 Implants 1721 7 IUD 31 8 Other 7 9 Sterilisation 73 88 No in need yet 12 S12_03_3 Specfy other methods 7 0 Agashinge 1 KUBARA 1 Kwibarira 1 Kwifata 1 Kwiyakana 2 Umura bawukuyemo kuko ababyara umwana warangiritse 1 S12_04 Have you ever been pregnant and gave birth at least once? 6891 0 0 88 0 Never been pregnant 1516 1 Never gave birth but been pregnant 141 2 Yes (was pregnant and gave brith) 5222 88 Don't know 12 S12_05 Are you currently pregnant? 5363 1528 0 88 0 No 4908 1 Yes 422 88 Don't know 33 S12_05_0 Are you currently breastfeeding? 5363 1528 0 1 0 No 3301 1 Yes 2062 S12_05_1 Do you have a child growth card? 1643 5248 0 1 0 No 1362 1 Yes 281 S12_05_1_1 If yes, Is the card filled with some information? 281 6610 0 1 0 No 18 1 Yes 263 S12_05_1_2 Who is in charge of this scorecard? 281 6610 1 21 1 Village leader 2 2 Community health worker 256 3 Friends of family 7 21 Other 16 S12_05_1_2_0 Other 16 0 Abaganga bo Kuri centre de Sante ya busanza 1 Ikigo nderabuzima 3 Ku kigo nderabuzima 1 Kwa muganga 2 Kwamuganga 2 Maman w'umwana 1 Muganga 3 Umuganga 2 Umuganga wamupimye 1 S12_05_1_3 Does having this form add anything to your child's growth? 281 6610 1 4 1 Yes 212 2 No 38 3 No change 15 4 Don't know 16 S12_05_2 Are you enrolled in the shisha kibondo / mubyeyi program? 2463 4428 0 1 0 No 2202 1 Yes 261 S12_06 During your last pregnancy, have you ever been visited by a community hea 5363 1528 0 1 0 No 2051 1 Yes 3312 S12_07 During the first 6 weeks that s/he was born (the child that you're curren 2463 4428 0 1 0 No 1505 1 Yes 958 S12_08 Did you see anyone for antenatal care for this/the recent pregnancy? 5363 1528 0 1 0 No 138 1 Yes 5225 S12_08_2 Where did you receive antenatal care for this/the recent pregnancy? 5225 0 1 5086 1 2 18 1 3 1 2 103 2 1 11 3 6 S12_08_2/Public health care provider (at health center or hospital) 5225 1666 0 1 0.979 0.143 S12_08_2/Private health care provider (at health center or hospital) 5225 1666 0 1 0.0253 0.157 S12_08_2/Other (speficy) 5225 1666 0 1 0.00134 0.0366 S12_08_3 How many months pregnant were you when you first received antenatal car 5225 1666 0 10 3.157 1.57 S12_09 How many antenatal care visits did you attend during your recent born pre 5222 1669 0 77 4.84 9.13 S12_10 During your recent pregnancy, did you take any iron supplements? 5363 1528 0 1 0 No 773 1 Yes 4590 S12_10_0 Pregnant Women are usually given iron pills. Which are you enrolled to? 3651 3240 1 2 1 90 iron rich pills 3204 2 MMS 447 S12_10_2 How many of those did you take? 4143 2748 1 5 1 All of them (90 pills) 1630 2 More than a half (50 - 75 pills) 894 3 About a half (35 - 45 pills) 708 4 Less than a half (<35 pills) 859 5 None 52 S12_11 Have you ever received any counselling or education on nutrition? 6891 0 0 1 0 No 3601 1 Yes 3290 S12_11_2 Who provided this counseling or education on nutrition? 3290 0 1 846 1 2 446 1 2 3 10 1 2 3 4 5 2 1 2 3 5 1 1 2 3 5 4 6 1 1 2 3 5 6 2 1 2 4 5 1 2 4 3 5 6 1 1 2 4 5 5 1 2 4 5 6 1 1 2 5 13 1 2 5 4 1 1 2 5 6 7 1 2 6 27 1 2 6 4 1 1 2 6 5 2 1 3 2 1 3 2 2 1 3 2 5 6 1 1 3 4 5 1 1 4 10 1 4 5 1 1 4 5 6 2 2 1 4 6 1 1 5 12 1 5 2 6 1 1 5 6 2 1 5 6 2 1 1 6 7 1 6 2 2 1 6 4 1 1 6 5 1 1 7 2 2 1285 2 1 199 2 1 3 1 2 1 3 4 2 2 1 4 6 2 1 4 5 1 2 1 5 1 2 1 5 6 2 2 1 6 6 2 1 6 5 1 2 3 7 2 3 4 1 2 4 2 2 4 1 2 2 4 5 2 2 4 5 6 1 2 4 6 2 2 4 7 1 2 5 4 2 5 1 1 2 5 6 2 2 5 6 7 1 2 6 14 2 6 5 1 2 7 1 3 18 3 1 1 3 1 2 2 3 2 1 3 6 1 3 7 1 4 26 4 1 1 4 1 2 5 1 4 2 1 4 2 1 1 4 5 1 4 5 1 1 4 6 5 5 33 5 1 6 5 4 1 5 6 7 5 6 2 1 1 5 6 7 2 5 7 1 6 116 6 1 2 6 1 2 1 6 2 1 6 2 1 2 6 2 5 1 6 3 2 6 4 2 6 5 7 6 5 1 2 2 6 5 2 3 6 5 2 1 1 6 5 4 7 1 6 7 1 7 70 S12_11_2/Health care worker (CHW) 3290 3601 0 1 0.506 0.5 S12_11_2/Heath facility worker 3290 3601 0 1 0.638 0.481 S12_11_2/NGO worker 3290 3601 0 1 0.0182 0.134 S12_11_2/Mothers in the community 3290 3601 0 1 0.0286 0.167 S12_11_2/Local authorities 3290 3601 0 1 0.0438 0.205 S12_11_2/Media (such as radio, tv, newspaper or drama 3290 3601 0 1 0.0757 0.265 S12_11_2/Other channels 3290 3601 0 1 0.0246 0.155 S12_12 Did you sleep under a mosquito net last night? 6891 0 0 1 0 No 2105 1 Yes 4786 S12_14 Tell me all the times you wash hands 6891 0 1 71 1 2 9 1 2 3 35 1 2 3 4 54 1 2 3 4 5 606 1 2 3 4 5 6 15 1 2 3 5 91 1 2 3 5 4 41 1 2 3 5 4 6 1 1 2 3 5 6 1 1 2 4 6 1 2 4 3 5 1 2 4 3 5 10 1 2 4 5 15 1 2 4 5 3 7 1 2 5 13 1 2 5 3 4 1 2 5 3 4 3 1 2 5 4 1 1 2 5 4 3 4 1 3 134 1 3 2 7 1 3 2 4 5 29 1 3 2 4 5 6 1 1 3 2 5 13 1 3 2 5 4 4 1 3 4 134 1 3 4 2 5 1 3 4 2 5 12 1 3 4 5 384 1 3 4 5 2 22 1 3 4 5 6 9 1 3 5 171 1 3 5 2 17 1 3 5 2 4 3 1 3 5 2 6 1 1 3 5 4 54 1 3 5 4 2 4 1 3 5 6 1 1 3 5 6 4 2 1 1 3 6 8 1 4 46 1 4 2 1 1 4 2 3 5 2 1 4 2 5 1 1 4 3 31 1 4 3 2 2 1 4 3 2 5 3 1 4 3 5 17 1 4 3 5 2 1 1 4 3 5 6 1 1 4 5 23 1 4 5 2 1 1 4 5 2 3 4 1 4 5 3 22 1 4 5 3 2 1 1 4 5 6 1 1 5 54 1 5 2 4 1 5 2 3 7 1 5 2 3 4 2 1 5 3 59 1 5 3 2 3 1 5 3 2 4 3 1 5 3 4 16 1 5 3 4 2 5 1 5 4 21 1 5 4 2 1 1 5 4 2 3 2 1 5 4 3 14 1 5 4 3 2 8 1 5 6 2 1 6 3 1 6 3 1 1 6 3 5 1 1 6 4 2 1 6 4 5 1 2 4 2 1 4 2 1 3 6 2 1 3 4 8 2 1 3 4 5 35 2 1 3 4 5 6 1 2 1 3 5 8 2 1 3 5 4 3 2 1 3 6 1 2 1 4 1 2 1 4 3 5 4 2 1 4 5 5 2 1 5 5 2 1 5 3 6 2 1 5 4 3 1 2 3 18 2 3 1 10 2 3 1 4 1 2 3 1 4 5 4 2 3 1 5 3 2 3 1 5 4 2 2 3 4 21 2 3 4 1 5 2 3 4 1 5 5 2 3 4 5 53 2 3 4 5 1 25 2 3 5 32 2 3 5 1 5 2 3 5 4 5 2 3 5 4 1 1 2 3 5 6 2 2 3 6 1 2 4 2 2 4 1 2 2 4 1 3 1 2 4 3 1 2 4 3 1 1 2 4 3 5 1 2 4 3 5 1 1 2 4 5 3 2 4 5 1 1 2 4 5 3 1 1 2 5 7 2 5 1 2 2 5 1 3 2 2 5 1 3 4 6 1 2 5 1 4 3 2 2 5 1 6 1 2 5 3 7 2 5 3 1 2 2 5 3 1 4 2 2 5 3 4 2 2 5 3 4 1 3 2 5 4 1 2 5 4 1 1 2 5 4 1 3 1 2 5 4 3 2 2 5 4 3 1 2 2 6 2 2 6 5 1 3 386 3 1 102 3 1 2 6 3 1 2 4 1 3 1 2 4 5 12 3 1 2 5 6 3 1 2 5 4 4 3 1 2 5 6 1 3 1 4 29 3 1 4 5 20 3 1 4 5 2 2 3 1 5 67 3 1 5 2 4 3 1 5 2 4 1 3 1 5 2 6 1 3 1 5 4 9 3 1 5 4 2 2 3 1 5 6 2 3 1 6 4 3 1 6 2 1 3 2 23 3 2 1 4 3 2 1 4 2 3 2 1 4 5 6 3 2 1 5 4 3 2 1 5 4 1 3 2 4 5 3 2 4 5 6 3 2 4 5 1 1 3 2 5 20 3 2 5 1 3 3 2 5 4 2 3 2 5 4 1 4 3 4 278 3 4 1 46 3 4 1 2 3 3 4 1 2 5 1 3 4 1 5 5 3 4 1 6 1 3 4 2 11 3 4 2 1 3 3 4 2 1 5 5 3 4 2 5 5 3 4 2 5 1 1 3 4 5 134 3 4 5 1 37 3 4 5 1 2 5 3 4 5 2 10 3 4 5 2 1 7 3 4 5 6 1 3 4 6 2 3 5 292 3 5 1 68 3 5 1 2 7 3 5 1 2 4 1 3 5 1 4 7 3 5 1 4 6 1 3 5 1 6 3 3 5 2 18 3 5 2 1 11 3 5 2 1 4 6 1 3 5 2 1 6 1 3 5 2 4 1 3 5 2 6 1 3 5 4 70 3 5 4 1 13 3 5 4 1 2 2 3 5 4 2 1 3 5 4 2 1 3 3 5 6 7 3 6 40 3 6 1 1 3 6 4 2 3 6 5 2 3 6 5 2 1 4 452 4 1 23 4 1 2 2 4 1 2 3 3 4 1 2 3 5 4 4 1 2 5 3 3 4 1 3 23 4 1 3 2 5 3 4 1 3 2 5 6 1 4 1 3 5 14 4 1 3 5 2 2 4 1 5 9 4 1 5 2 1 4 1 5 3 10 4 2 3 4 2 1 2 4 2 1 3 5 3 4 2 1 5 1 4 2 3 2 4 2 3 1 3 4 2 3 1 5 1 4 2 3 5 1 4 2 5 2 4 2 5 3 2 4 3 128 4 3 1 38 4 3 1 2 2 4 3 1 2 5 3 4 3 1 5 14 4 3 1 5 2 1 4 3 1 6 2 5 1 4 3 2 5 4 3 2 1 11 4 3 2 1 5 20 4 3 2 5 4 4 3 2 5 1 3 4 3 5 71 4 3 5 1 3 4 3 5 1 2 2 4 3 5 2 3 4 3 5 2 1 4 4 5 43 4 5 1 11 4 5 1 2 3 1 4 5 1 3 14 4 5 1 3 2 2 4 5 2 6 4 5 2 1 2 4 5 2 3 5 4 5 2 3 1 2 4 5 2 6 3 1 4 5 3 44 4 5 3 1 10 4 5 3 1 2 1 4 5 3 2 2 4 5 3 2 1 8 4 6 2 5 47 5 1 48 5 1 2 6 5 1 2 3 6 5 1 2 3 4 6 5 1 2 4 1 5 1 2 4 3 2 5 1 3 82 5 1 3 2 5 5 1 3 2 4 1 5 1 3 4 17 5 1 3 4 2 3 5 1 3 6 2 5 1 4 21 5 1 4 3 7 5 1 4 3 2 2 5 1 4 3 6 1 5 1 6 2 5 1 6 4 3 2 1 5 2 5 5 2 1 10 5 2 1 3 6 5 2 1 3 4 4 5 2 1 4 3 3 5 2 3 16 5 2 3 1 6 5 2 3 1 4 2 5 2 3 4 7 5 2 3 4 1 5 5 2 3 4 1 6 1 5 2 4 7 5 2 4 1 1 5 2 4 3 3 5 2 4 3 1 2 5 3 218 5 3 1 89 5 3 1 2 10 5 3 1 2 4 4 5 3 1 4 17 5 3 1 4 6 1 5 3 1 6 2 5 3 2 22 5 3 2 1 12 5 3 2 1 4 6 5 3 2 4 3 5 3 2 4 1 5 5 3 2 6 1 5 3 4 58 5 3 4 1 16 5 3 4 1 2 2 5 3 4 2 1 5 3 4 2 1 3 5 3 4 2 1 6 2 5 3 6 6 5 4 63 5 4 1 15 5 4 1 2 1 5 4 1 2 3 1 5 4 1 3 21 5 4 1 3 2 2 5 4 2 3 5 4 2 1 5 5 4 2 1 3 5 5 4 2 3 1 1 5 4 3 120 5 4 3 1 63 5 4 3 1 2 8 5 4 3 1 6 1 5 4 3 2 15 5 4 3 2 1 73 5 4 3 2 1 6 2 5 4 6 3 1 1 5 6 9 5 6 1 1 5 6 3 4 1 5 6 3 4 1 1 6 26 6 1 1 6 1 3 1 6 1 3 4 5 1 6 1 5 3 2 1 6 2 4 1 6 2 5 1 6 3 1 6 3 1 2 6 3 4 1 6 3 5 1 6 3 5 1 1 6 3 5 4 1 1 6 4 3 1 6 5 1 4 3 1 6 5 3 1 6 5 3 1 1 6 5 3 4 1 6 5 4 3 2 1 1 88 19 S12_14/Before preparing meals 6891 0 0 1 0.577 0.494 S12_14/After cleaning a child from toilet 6891 0 0 1 0.302 0.459 S12_14/Before eating 6891 0 0 1 0.83 0.375 S12_14/Whenever their dirty 6891 0 0 1 0.624 0.484 S12_14/After visiting toilet 6891 0 0 1 0.66 0.474 S12_14/Other 6891 0 0 1 0.0316 0.175 S12_14/Never 6891 0 0 1 0.00276 0.0524 S12_14_2 The last time you washed your hands, what did you use? 6872 19 1 4 1 Water only 766 2 Water and homemade soap 242 3 Water and washing soap 5863 4 Other 1 S12_15 Does the woman present any disability the prevents her from being measure 6891 0 0 1 0 No 6838 1 Yes 53 S12_16 [name]'s MUAC in mm 6838 53 88 454 269.921 33.562 AS12_17 Foods made from grains (Porridge, bread, rice, pasta/noodles or other fo 6891 0 0 1 0 No 1872 1 Yes 5019 BS12_17 White roots and tubers and plantains (White potatoes, white yams, manioc 6891 0 0 1 0 No 1491 1 Yes 5400 CS12_17 Pulses (beans, peas and lentils) (Mature beans or peas (fresh or dried s 6891 0 0 1 0 No 1159 1 Yes 5732 DS12_17 Nuts and seeds (Any tree nut, groundnut/peanut or certain seeds, or nut/ 6891 0 0 1 0 No 5283 1 Yes 1608 ES12_17 Milk and milk products (Milk, cheese, yoghurt or other milk products but 6891 0 0 1 0 No 5854 1 Yes 1037 GS12_17 Organ meat (Liver, kidney, heart or other organ meats or blood-based foo 6891 0 0 1 0 No 6777 1 Yes 114 HS12_17 Meat and poultry (Beef, pork, lamb, goat, rabbit, wild game meat, chicke 6891 0 0 1 0 No 6570 1 Yes 321 IS12_17 Fish and seafood (Fresh or dried fish, shellfish or seafood ) 6891 0 0 1 0 No 5512 1 Yes 1379 JS12_17 Eggs (Eggs from poultry or any other bird ) 6891 0 0 1 0 No 6528 1 Yes 363 KS12_17 Dark green leafy vegetables (List examples of any medium-to-dark green l 6891 0 0 1 0 No 1576 1 Yes 5315 LS12_17 Vitamin A-rich vegetables, roots and tubers (Pumpkin, carrots, squash or 6891 0 0 1 0 No 5305 1 Yes 1586 MS12_17 Vitamin A-rich fruits (Ripe mango, ripe papaya, Gauva, Watermelon) 6891 0 0 1 0 No 5885 1 Yes 1006 NS12_17 Other vegetables () 6891 0 0 1 0 No 3503 1 Yes 3388 OS12_17 Other fruits () 6891 0 0 1 0 No 5499 1 Yes 1392 PS12_17 Shisha Kibondo/ Mubyeyi 6891 0 0 1 0 No 6670 1 Yes 221 QS12_17 Any fortified blended foods (Nootri-mama, Nootri family, Sosoma) 6891 0 0 1 0 No 6806 1 Yes 85 MDD-Women 6891 0 1 2 1 <5 food groups 4098 2 5 food groups or more 2793