Agriculture Household Survey 2017 DDI_RWA_2017_AgS_v01_M National Institute of Statistics of Rwanda 2019-02-18 Metadata Editor Version 2 (August 2020). Edited version based on version 1 (RWA-NISR-RAHS-2017-V0.1) that was produced by the National Institute of Statistics of Rwanda. RWA_2017_AgS_v01_M Agricultural Household Survey 2017 AHS 2017 National Institute of Statistics of Rwanda Ministry of Agriculture and Animal Resources (c) 2018, National Institute of Statistics of Rwanda Government of Rwanda Metadata Editor National Institute of Statistics of Rwanda Agricultural Survey [ag/oth] The Agriculture Household Survey (AHS) is a study intended to be conducted every three years by the National Institute of Statistics of Rwanda from the reference period of the agricultural year September 2016 - June 2017. Data was collected from July to September 2017 to gather up-to-date information aimed at capturing conditions of agricultural households of the country in the context of agriculture policies and programs of the Government of Rwanda. Version 0.1 Edited anonymized dataset for public use Agriculture statistics are useful for monitoring progress on agriculture programs and policies in Rwanda. The government of Rwanda needs updated information on agricultural household in order to assist in addressing key agricultural issues and information needs that will inform policy makers and other stakeholders and allow more effective identification of priority intervention needs and to facilitate evidence-based decision making for the development of Agriculture sector. Rwanda National coverage This seasonal agriculture survey focused on the following units of analysis: Agricultural Households for both household and individual level. Sample survey data [ssd] The scope of 2017 Agricultural Household Survey was related to socio-economic characteristics of agricultural households, crop production, use of agricultural production, awareness of agriculture technology, government policies and programs, access to inputs, access to finance, agricultural assets and livestock numbers. National Institute of Statistics of Rwanda Face-to-face [f2f] Taking into consideration of full completeness of the segment, sampling weights were calculated for each stratum in each district considering the total number of segments in the stratum and the sample size in the specific stratum. The weight was calculated as the inverse of the overall probability of selection, taking into account the probabilities from all sampling stages. For strata 1.1, 2.0 and 3.0, the sampling of segments was done through two stages and probabilities were calculated for each sampling stage. For strata 4.1 and 4.2 the sampling of segments was done through one stage and probabilities were calculated in order to determine the weight. In this survey Computer-Assisted Personal Interviewing (CAPI) technique was used in order to improve the speed of delivery and quality of data. National Institute of Statistics of Rwanda 1. The data and other materials provided by the National Institute of Statistics of Rwanda will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the National Institute of Statistics of Rwanda. 2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Institute of Statistics of Rwanda. 4. No attempt will be made to produce links among datasets provided by the National Institute of Statistics of Rwanda. National Institute of Statistics of Rwanda National Institute of Statistics of Rwanda (NISR), Agricultural Household Survey 2017 report, December 2018 The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. S0_General Information.dta 23709 25 .dta AHS 2017 General Information data S1_Household members characteristics.dta 73665 27 .dta AHS 2017 Household Characteristics data S2_Land tenure and crops planted.dta 16057 30 .dta AHS 2017 data on Land tenure and planted crops S3_Extension services and agricultural programmes.dta 64228 24 .dta AHS 2017 Extension services data S4_Funding during 2016_2017.dta 16057 19 .dta AHS 2017 data on funding. S5_Agricultural Inputs.dta 16057 162 .dta AHS 2017 data on agricultural inputs S6_Agricultural Practices.dta 16057 40 .dta AHS 2017 data on agricultural practices S7_1_Agricultural small tools.dta 362203 13 .dta AHS 2017 data on agricultural small tools S7_2_Agricultural durable tools.dta 207049 13 .dta AHS 2017 data on agricultural durable tools. S8_A_Production Use,storage and Expenses.dta 35844 31 .dta AHS 2017 data on production use, storage facility and on expenses on harvesting and storage for Season A 2017 S8_B_Production Use,Storage and Expenses.dta 34167 31 .dta AHS 2017 data on production use, storage facility and on expenses on harvesting and storage for Season B 2017 S9_Number of animals.dta 32611 38 .dta AHS 2017 data on number of animals S10_1_Cattle milk production.dta 3237 16 .dta AHS 2017 data on milk production S10_2_Cattle milk production use.dta 3989 15 .dta AHS 2017 data on the usage of produced milk S10_3_Honey production.dta 16067 12 .dta AHS 2017 data on the production of honey. S11_Animal inputs and services.dta 26500 20 .dta AHs 2017 data on animal inputs and services Household_ID 23419 290 11110200101 57423301901 Segment_ID 23709 111102 574233 0.0 Is there any household in the segment? 23709 1 2 1 Yes 23419 2 No 290 0.1 Province 23709 1 5 1 Kigali 5548 2 South 3929 3 West 4331 4 North 3050 5 East 6851 0.2 District 23709 11 57 11 Nyarugenge 1730 12 Gasabo 2294 13 Kicukiro 1524 21 Nyanza 352 22 Gisagara 572 23 Nyaruguru 255 24 Huye 722 25 Nyamagabe 485 26 Ruhango 391 27 Muhanga 472 28 Kamonyi 680 31 Karongi 305 32 Rutsiro 467 33 Rubavu 1367 34 Nyabihu 534 35 Ngororero 331 36 Rusizi 866 37 Nyamasheke 461 41 Rulindo 462 42 Gakenke 383 43 Musanze 982 44 Burera 536 45 Gicumbi 687 51 Rwamagana 795 52 Nyagatare 1411 53 Gatsibo 1023 54 Kayonza 1070 55 Kirehe 1096 56 Ngoma 625 57 Bugesera 831 0.3 Stratum 23709 11 42 11 Intensive cropland on hillsides 9596 20 Intensive cropland in marshlands 269 30 Rangelands 766 41 Urban area 5099 42 Rural settlement 7979 0.4 Segment 23709 1 72 0.5 House number 23419 290 1 152 0.6 Household Number 23419 290 1 10 1 21185 2 1539 3 437 4 157 5 58 6 25 7 11 8 5 9 1 10 1 Sysmiss 290 0.7 Names of Household head 23709 . 23709 0.8 Contact of Household head 23709 . 23709 0.9 Is the respondent the Household head? 16057 7652 1 2 1 Yes 10232 2 No 5825 Sysmiss 7652 0.10 Names of the respondent if not the Household head 23709 . 23709 0.11 Contact of the respondent if not the Household head 23709 . 23709 0.12 Relationship to the Household head 5825 17884 1 6 1 Spouse 4988 2 Son/daughter 598 3 Brother/Sister 82 4 Parent 36 5 Employee 50 6 Other relationship 71 Sysmiss 17884 0.13 What is the agricultural activity of the Household? 23709 1 11 1 Cropping only 4278 2 Livestock only 494 3 Aquaculture only 0 4 Forestry only 10 5 Nursery only 0 6 Apiculture 0 7 Both cropping and livestock 10664 8 Cropping and other agriculture activity than livestock 48 9 Livestock and other agriculture activities than cropping 0 10 Cropping, livestock and other agriculture activity 563 11 No agricultural activity 7652 0.14 Is any member of the Household belonging to any agricultural cooperative? 16057 7652 1 2 1 Yes 1998 2 No 14059 Sysmiss 7652 0.15 Which type of Agriculture cooperative or association? 1998 21711 1 7 1 Cropping cooperative/association 1640 2 Livestock cooperative/association 219 3 Both cropping and livestock cooperative/association 130 4 Water user association 2 5 Other type 3 6 Both cropping and water user cooperative/association 3 7 Cropping, livestock and water user cooperative/association 1 Sysmiss 21711 0.16 Total Number of Household members 16057 7652 1 18 1 1008 2 1602 3 2675 4 3031 5 2730 6 2170 7 1347 8 778 9 402 10 178 11 81 12 40 13 5 14 7 15 1 16 1 18 1 Sysmiss 7652 0.17 Date of interview 10669 13040 2 31082017 2 1 1092017 360 2092017 339 3092017 85 4092017 329 5092017 336 6082017 30 6092017 233 7082017 151 7092017 198 8082017 273 8092017 152 9082017 320 9092017 86 10082017 323 10092017 21 11082017 377 12082017 362 12092017 4 13082017 266 14082017 404 15082017 399 16082017 410 17082017 414 18082017 409 19082017 403 20082017 54 21082017 353 22082017 414 23082017 440 24082017 422 25082017 356 26082017 338 27082017 69 28082017 371 29082017 402 30082017 419 31082017 346 Sysmiss 13040 0.18 Enumerator code 23709 . 23709 0.19 Team Leader code 23709 . 23709 0.20 Regional supervisor name 23709 . 23709 0.21 Control results 23709 * 1 No problem 0 2 Questionnaire corrected 0 3 Questionnaire redone 0 Sysmiss 23709 segment_weight 23709 7.87116301033384 361.012133274259 Household_ID 73665 11110200101 57423301901 0.1 Province 73665 1 5 1 Kigali 7041 2 South 13612 3 West 15927 4 North 10864 5 East 26221 0.2 District 73665 11 57 11 Nyarugenge 2300 12 Gasabo 2904 13 Kicukiro 1837 21 Nyanza 1210 22 Gisagara 2233 23 Nyaruguru 1104 24 Huye 2300 25 Nyamagabe 1721 26 Ruhango 1284 27 Muhanga 1388 28 Kamonyi 2372 31 Karongi 1073 32 Rutsiro 1986 33 Rubavu 3914 34 Nyabihu 2191 35 Ngororero 1371 36 Rusizi 3380 37 Nyamasheke 2012 41 Rulindo 1733 42 Gakenke 1460 43 Musanze 3111 44 Burera 2148 45 Gicumbi 2412 51 Rwamagana 2629 52 Nyagatare 5693 53 Gatsibo 4306 54 Kayonza 4139 55 Kirehe 4254 56 Ngoma 2463 57 Bugesera 2737 0.3 Stratum 73665 11 42 11 Intensive cropland on hillsides 37541 20 Intensive cropland in marshlands 450 30 Rangelands 3354 41 Urban area 5529 42 Rural settlement 26791 0.4 Segment 73665 1 72 Household member number 73665 1 18 1 16057 2 15049 3 13447 4 10772 5 7741 6 5011 7 2841 8 1494 9 716 10 314 11 136 12 55 13 15 14 10 15 3 16 2 17 1 18 1 1.2 Household member names 73665 . 73665 1.3 What is the member relationship with the household Head? 73665 1 7 1 Head 16057 2 Spouse 10876 3 Son/Daughter 40024 4 Relatives 5416 5 Parent 116 6 Employee 894 7 Other 282 1.4 What is the sex of household member? 73665 1 2 1 Male 34951 2 Female 38714 1.5 What is the age of household member? 73665 1 115 1.6 Did this child schooled? 22244 51421 1 2 1 Yes 10550 2 No 11694 Sysmiss 51421 1.7 What is the highest level of education attained by the household member? 51421 22244 1 4 1 Primary 30736 2 Secondary 9373 3 Tertiary 1290 4 No education level 10022 Sysmiss 22244 1.8 What is the main economic activity of household member? 51421 22244 1 6 1 Cropping activity 9411 2 Non farming activity 6442 3 Cropping and Livestock activity 16504 4 None of them 16827 5 Livestock activity 1278 6 Both farming and non-farming activities 959 Sysmiss 22244 1.9 Where the farming activity is located? 26874 46791 1 3 1 In the household farms only 18146 2 In others'farms only 812 3 Both in household farms and others 7916 Sysmiss 46791 1.10 Average number of Hours/day that the household member worked per day in Sea 26062 47603 0 12 0 761 1 103 2 396 3 1112 4 3215 5 8691 6 7960 7 2227 8 1132 9 294 10 120 11 13 12 38 Sysmiss 47603 1.11 Number of days that the household member worked in Sept -16 25301 48364 0 30 0 681 1 315 2 734 3 732 4 852 5 747 6 714 7 698 8 831 9 198 10 1261 11 154 12 2108 13 266 14 671 15 1476 16 1539 17 214 18 954 19 354 20 3240 21 677 22 1063 23 440 24 2249 25 843 26 973 27 46 28 78 29 21 30 172 Sysmiss 48364 1.12 Number of days that the household member worked in Oct-16 25301 48364 0 31 0 1324 1 628 2 1072 3 847 4 916 5 803 6 708 7 658 8 910 9 212 10 1343 11 185 12 1929 13 308 14 669 15 1285 16 1392 17 296 18 1112 19 371 20 2595 21 744 22 883 23 516 24 1720 25 800 26 795 27 102 28 52 29 17 30 87 31 22 Sysmiss 48364 1.13 Number of days that the household member worked in Nov-16 25301 48364 0 30 0 2201 1 708 2 1064 3 940 4 1008 5 881 6 806 7 643 8 1085 9 232 10 1546 11 275 12 1859 13 339 14 669 15 1349 16 1227 17 342 18 1068 19 431 20 2166 21 586 22 781 23 380 24 1368 25 610 26 540 27 47 28 57 29 17 30 76 Sysmiss 48364 1.14 Number of days that the household member worked in Dec-16 25301 48364 0 31 0 3642 1 867 2 1336 3 914 4 1128 5 944 6 754 7 581 8 1081 9 228 10 1702 11 217 12 1840 13 324 14 622 15 1179 16 1170 17 333 18 926 19 391 20 1831 21 479 22 526 23 325 24 1077 25 412 26 286 27 66 28 29 29 14 30 58 31 19 Sysmiss 48364 1.15 Number of days that the household member worked in Jan-17 25301 48364 0 31 0 2019 1 1273 2 1623 3 1157 4 1155 5 981 6 811 7 762 8 1067 9 236 10 1525 11 197 12 1741 13 317 14 597 15 1208 16 1093 17 305 18 862 19 368 20 2053 21 593 22 643 23 337 24 1178 25 526 26 442 27 77 28 36 29 15 30 80 31 24 Sysmiss 48364 1.16 Average number of Hours/day that the household member worked per day in Sea 26062 47603 0 12 0 555 1 129 2 424 3 1146 4 3308 5 8975 6 7863 7 2161 8 1057 9 262 10 121 11 10 12 51 Sysmiss 47603 1.17 Number of days that the household member worked in Feb -17 25507 48158 0 29 0 1197 1 489 2 1031 3 950 4 1001 5 786 6 822 7 670 8 868 9 226 10 1268 11 199 12 2023 13 308 14 697 15 1285 16 1354 17 330 18 1158 19 470 20 2962 21 781 22 1031 23 569 24 1995 25 519 26 369 27 43 28 92 29 14 Sysmiss 48158 1.18 Number of days that the household member worked in March -17 25507 48158 0 31 0 1402 1 652 2 1162 3 977 4 1025 5 795 6 768 7 585 8 906 9 259 10 1293 11 259 12 1962 13 406 14 752 15 1310 16 1334 17 321 18 1041 19 408 20 2467 21 688 22 857 23 534 24 1543 25 759 26 739 27 136 28 50 29 17 30 66 31 34 Sysmiss 48158 1.19 Number of days that the household member worked in April -17 25507 48158 0 30 0 2555 1 786 2 1257 3 924 4 1162 5 1003 6 816 7 659 8 1103 9 294 10 1687 11 271 12 1906 13 360 14 769 15 1357 16 1171 17 309 18 1046 19 431 20 2038 21 538 22 642 23 337 24 1136 25 437 26 373 27 18 28 45 29 9 30 68 Sysmiss 48158 1.20 Number of days that the household member worked in May -17 25507 48158 0 31 0 3903 1 880 2 1440 3 979 4 1228 5 1080 6 799 7 645 8 1096 9 264 10 1598 11 240 12 1779 13 339 14 588 15 1174 16 1177 17 318 18 861 19 418 20 1693 21 450 22 480 23 297 24 871 25 342 26 375 27 60 28 35 29 14 30 59 31 25 Sysmiss 48158 1.21 Number of days that the household member worked in Jun-17 25507 48158 0 30 0 2907 1 1342 2 1831 3 1318 4 1362 5 1050 6 925 7 807 8 1129 9 295 10 1675 11 176 12 1695 13 313 14 618 15 1151 16 1175 17 294 18 823 19 314 20 1561 21 384 22 448 23 230 24 804 25 333 26 400 27 26 28 32 29 9 30 80 Sysmiss 48158 segment_weight 73665 12.2830236146464 361.012133274259 Household_ID 16057 11110200101 57423301901 0.1 Province 16057 1 5 1 Kigali 1520 2 South 3163 3 West 3277 4 North 2448 5 East 5649 0.2 District 16057 11 57 11 Nyarugenge 531 12 Gasabo 615 13 Kicukiro 374 21 Nyanza 291 22 Gisagara 525 23 Nyaruguru 241 24 Huye 524 25 Nyamagabe 408 26 Ruhango 324 27 Muhanga 326 28 Kamonyi 524 31 Karongi 234 32 Rutsiro 415 33 Rubavu 768 34 Nyabihu 476 35 Ngororero 309 36 Rusizi 676 37 Nyamasheke 399 41 Rulindo 406 42 Gakenke 352 43 Musanze 673 44 Burera 485 45 Gicumbi 532 51 Rwamagana 592 52 Nyagatare 1180 53 Gatsibo 914 54 Kayonza 887 55 Kirehe 934 56 Ngoma 546 57 Bugesera 596 0.3 Stratum 16057 11 42 11 Intensive cropland on hillsides 8516 20 Intensive cropland in marshlands 103 30 Rangelands 693 41 Urban area 1086 42 Rural settlement 5659 0.4 Segment 16057 1 72 2.1 Did any member of your household own land used for dwelling during Season A 16057 1 2 1 Yes 9810 2 No 6247 2.2 Did any member of your household own land used for cropping during Season A 16057 1 2 1 Yes 14426 2 No 1631 2.3 Did any member of your household own land used for grazing during Season A 2 16057 1 2 1 Yes 1982 2 No 14075 2.4 Did any member of your household rented land used for cropping for fixed 16057 1 2 1 Yes 5042 2 No 11015 2.5 Did any member of your household rented land used for cropping and paid rent 16057 1 2 1 Yes 1971 2 No 14086 2.6 Did any member of your household rented land used for cropping, for free dur 16057 1 2 1 Yes 1501 2 No 14556 2.7.1 What are major 3 crops did your household grow during Season A 2017-Crop 1 14931 1126 101 516 97 1 0 101 2 5085 102 3 107 103 4 462 104 5 28 105 6 0 106 7 4407 107 8 2359 108 9 98 109 10 0 111 11 561 112 12 581 114 13 61 115 14 26 116 15 1 117 16 15 118 17 11 119 18 16 120 19 0 128 20 100 129 21 112 130 22 4 134 23 0 135 24 1 136 25 5 138 26 21 139 27 0 140 28 3 141 29 0 142 30 1 143 31 3 144 32 0 145 33 0 146 34 5 147 35 0 148 36 0 162 37 10 165 38 0 167 39 0 201 40 0 213 41 82 214 42 1 220 43 0 233 44 12 234 45 0 237 46 1 249 47 1 257 48 8 265 49 0 266 50 0 267 51 0 310 52 302 320 53 0 321 54 214 322 55 36 323 56 131 324 57 3 325 58 3 326 59 0 327 60 1 331 61 0 332 62 35 334 63 0 350 64 3 352 65 0 353 66 0 354 67 2 355 68 0 356 69 0 358 70 2 359 71 0 360 72 0 361 73 0 363 74 1 364 75 0 365 76 0 368 77 0 369 78 1 511 79 6 512 80 2 513 81 0 514 82 0 515 83 0 516 84 1 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 1126 2.7.2 What are major 3 crops did your household grow during Season A 2017-Crop 2 12758 3299 101 512 97 1 0 101 2 2548 102 3 89 103 4 164 104 5 50 105 6 0 106 7 3551 107 8 1466 108 9 119 109 10 0 111 11 508 112 12 1254 114 13 62 115 14 24 116 15 0 117 16 21 118 17 13 119 18 33 120 19 0 128 20 350 129 21 259 130 22 13 134 23 1 135 24 0 136 25 4 138 26 16 139 27 3 140 28 0 141 29 2 142 30 3 143 31 7 144 32 0 145 33 0 146 34 5 147 35 1 148 36 0 162 37 8 165 38 0 167 39 2 201 40 0 213 41 121 214 42 1 220 43 2 233 44 24 234 45 0 237 46 6 249 47 1 257 48 7 265 49 0 266 50 0 267 51 0 310 52 1110 320 53 0 321 54 426 322 55 132 323 56 276 324 57 5 325 58 3 326 59 0 327 60 1 331 61 0 332 62 43 334 63 0 350 64 13 352 65 0 353 66 0 354 67 1 355 68 0 356 69 1 358 70 0 359 71 1 360 72 1 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 4 511 79 1 512 80 2 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 3299 2.7.3 What are major 3 crops did your household grow during Season A 2017-Crop 3 8355 7702 101 512 97 1 0 101 2 635 102 3 152 103 4 162 104 5 48 105 6 0 106 7 598 107 8 482 108 9 102 109 10 0 111 11 276 112 12 1089 114 13 73 115 14 33 116 15 1 117 16 18 118 17 20 119 18 42 120 19 0 128 20 470 129 21 498 130 22 31 134 23 0 135 24 0 136 25 5 138 26 15 139 27 0 140 28 6 141 29 9 142 30 3 143 31 7 144 32 1 145 33 0 146 34 1 147 35 0 148 36 0 162 37 19 165 38 0 167 39 2 201 40 0 213 41 125 214 42 3 220 43 0 233 44 9 234 45 0 237 46 2 249 47 0 257 48 5 265 49 0 266 50 3 267 51 0 310 52 1959 320 53 0 321 54 645 322 55 177 323 56 489 324 57 12 325 58 8 326 59 0 327 60 4 331 61 0 332 62 85 334 63 0 350 64 14 352 65 2 353 66 0 354 67 3 355 68 0 356 69 0 358 70 0 359 71 0 360 72 0 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 9 511 79 1 512 80 2 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 7702 2.8.1 What are 3 major crops would your household have preferred to grow durin 14931 1126 101 516 97 1 0 101 2 5400 102 3 80 103 4 720 104 5 38 105 6 0 106 7 3215 107 8 1766 108 9 211 109 10 0 111 11 786 112 12 984 114 13 98 115 14 77 116 15 1 117 16 22 118 17 19 119 18 24 120 19 0 128 20 159 129 21 186 130 22 12 134 23 0 135 24 2 136 25 5 138 26 27 139 27 0 140 28 2 141 29 1 142 30 3 143 31 7 144 32 0 145 33 0 146 34 5 147 35 0 148 36 0 162 37 8 165 38 0 167 39 0 201 40 0 213 41 162 214 42 3 220 43 0 233 44 7 234 45 0 237 46 2 249 47 1 257 48 15 265 49 0 266 50 3 267 51 0 310 52 484 320 53 0 321 54 203 322 55 40 323 56 91 324 57 3 325 58 2 326 59 0 327 60 0 331 61 0 332 62 34 334 63 1 350 64 3 352 65 0 353 66 0 354 67 4 355 68 0 356 69 0 358 70 3 359 71 0 360 72 0 361 73 0 363 74 1 364 75 0 365 76 0 368 77 0 369 78 2 511 79 6 512 80 2 513 81 0 514 82 0 515 83 0 516 84 1 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 1126 2.8.2 What are 3 major crops would your household have preferred to grow durin 13037 3020 101 512 97 1 0 101 2 2220 102 3 82 103 4 214 104 5 54 105 6 0 106 7 3762 107 8 1599 108 9 97 109 10 0 111 11 694 112 12 1271 114 13 104 115 14 62 116 15 0 117 16 30 118 17 26 119 18 65 120 19 0 128 20 350 129 21 281 130 22 6 134 23 0 135 24 0 136 25 13 138 26 15 139 27 2 140 28 6 141 29 0 142 30 5 143 31 10 144 32 0 145 33 1 146 34 5 147 35 0 148 36 0 162 37 14 165 38 1 167 39 4 201 40 0 213 41 101 214 42 1 220 43 1 233 44 21 234 45 1 237 46 7 249 47 0 257 48 9 265 49 0 266 50 0 267 51 0 310 52 1141 320 53 0 321 54 357 322 55 109 323 56 218 324 57 2 325 58 4 326 59 0 327 60 3 331 61 0 332 62 42 334 63 0 350 64 12 352 65 0 353 66 1 354 67 1 355 68 0 356 69 2 358 70 1 359 71 2 360 72 0 361 73 1 363 74 0 364 75 0 365 76 0 368 77 0 369 78 4 511 79 1 512 80 2 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 3020 2.8.3 What are 3 major crops would your household have preferred to grow durin 9513 6544 101 513 97 1 0 101 2 657 102 3 186 103 4 166 104 5 66 105 6 0 106 7 892 107 8 741 108 9 103 109 10 0 111 11 474 112 12 1027 114 13 125 115 14 39 116 15 1 117 16 35 118 17 40 119 18 63 120 19 0 128 20 547 129 21 653 130 22 19 134 23 1 135 24 1 136 25 11 138 26 15 139 27 2 140 28 2 141 29 9 142 30 4 143 31 10 144 32 1 145 33 0 146 34 3 147 35 0 148 36 0 162 37 22 165 38 1 167 39 2 201 40 0 213 41 109 214 42 3 220 43 1 233 44 5 234 45 0 237 46 3 249 47 2 257 48 10 265 49 0 266 50 2 267 51 0 310 52 2229 320 53 0 321 54 570 322 55 145 323 56 388 324 57 15 325 58 7 326 59 0 327 60 3 331 61 0 332 62 68 334 63 0 350 64 17 352 65 2 353 66 0 354 67 5 355 68 0 356 69 0 358 70 1 359 71 0 360 72 1 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 7 511 79 1 512 80 0 513 81 1 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 6544 2.9 Did any member of your household own land used for dwelling during Season B 16057 1 2 1 Yes 9721 2 No 6336 2.10 Did any member of your household own land used for cropping during Season B 16057 1 2 1 Yes 14590 2 No 1467 2.11 Did any member of your household own land used for grazing during Season B 16057 1 2 1 Yes 1999 2 No 14058 2.12 Did any member of your household rented land used for cropping for fixed am 16057 1 2 1 Yes 4716 2 No 11341 2.13 Did any member of your household rented land used for cropping and paid ren 16057 1 2 1 Yes 1889 2 No 14168 2.14 Did any member of your household rented land used for cropping, for free du 16057 1 2 1 Yes 1482 2 No 14575 2.15.1 What are major 3 crops did your household grow during Season B 2017-Crop 15121 936 101 512 97 1 0 101 2 2974 102 3 135 103 4 2478 104 5 89 105 6 0 106 7 4048 107 8 2327 108 9 117 109 10 0 111 11 738 112 12 714 114 13 59 115 14 46 116 15 2 117 16 7 118 17 29 119 18 19 120 19 0 128 20 183 129 21 188 130 22 12 134 23 0 135 24 0 136 25 1 138 26 31 139 27 1 140 28 1 141 29 2 142 30 5 143 31 0 144 32 0 145 33 1 146 34 3 147 35 0 148 36 0 162 37 3 165 38 0 167 39 2 201 40 0 213 41 52 214 42 0 220 43 0 233 44 26 234 45 0 237 46 5 249 47 1 257 48 11 265 49 0 266 50 1 267 51 0 310 52 332 320 53 0 321 54 214 322 55 23 323 56 142 324 57 4 325 58 3 326 59 0 327 60 2 331 61 0 332 62 62 334 63 0 350 64 10 352 65 0 353 66 0 354 67 1 355 68 0 356 69 0 358 70 3 359 71 0 360 72 0 361 73 0 363 74 1 364 75 0 365 76 0 368 77 0 369 78 4 511 79 5 512 80 4 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 936 2.15. 2 What are major 3 crops did your household grow during Season B 2017-Crop 12195 3862 101 512 97 1 0 101 2 1738 102 3 105 103 4 647 104 5 132 105 6 0 106 7 3319 107 8 1290 108 9 95 109 10 0 111 11 440 112 12 1300 114 13 72 115 14 36 116 15 0 117 16 22 118 17 21 119 18 37 120 19 0 128 20 452 129 21 369 130 22 39 134 23 0 135 24 0 136 25 4 138 26 21 139 27 1 140 28 1 141 29 4 142 30 2 143 31 3 144 32 2 145 33 1 146 34 6 147 35 0 148 36 2 162 37 11 165 38 0 167 39 2 201 40 0 213 41 68 214 42 1 220 43 3 233 44 48 234 45 0 237 46 4 249 47 0 257 48 16 265 49 0 266 50 4 267 51 0 310 52 717 320 53 0 321 54 491 322 55 139 323 56 367 324 57 6 325 58 5 326 59 0 327 60 1 331 61 0 332 62 128 334 63 0 350 64 10 352 65 0 353 66 0 354 67 4 355 68 0 356 69 1 358 70 0 359 71 1 360 72 0 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 3 511 79 2 512 80 2 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 3862 2.15.3 What are major 3 crops did your household grow during Season B 2017-Crop 7214 8843 99 512 97 1 0 99 2 101 2 416 102 3 167 103 4 368 104 5 87 105 6 0 106 7 694 107 8 418 108 9 68 109 10 0 111 11 209 112 12 912 114 13 78 115 14 27 116 15 0 117 16 19 118 17 17 119 18 39 120 19 0 128 20 498 129 21 559 130 22 26 134 23 1 135 24 3 136 25 8 138 26 18 139 27 0 140 28 3 141 29 1 142 30 6 143 31 7 144 32 0 145 33 0 146 34 3 147 35 0 148 36 0 162 37 9 165 38 0 167 39 2 201 40 0 213 41 55 214 42 1 220 43 0 233 44 7 234 45 0 237 46 5 249 47 0 257 48 4 265 49 0 266 50 3 267 51 0 310 52 933 320 53 0 321 54 616 322 55 189 323 56 482 324 57 13 325 58 5 326 59 0 327 60 3 331 61 0 332 62 185 334 63 0 350 64 19 352 65 1 353 66 0 354 67 4 355 68 0 356 69 1 358 70 1 359 71 0 360 72 1 361 73 0 363 74 1 364 75 0 365 76 0 368 77 0 369 78 16 511 79 3 512 80 1 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 8843 2.16.1 What are 3 major crops would your household have preferred to grow duri 14829 1228 6 512 6 1 97 1 0 101 2 3014 102 3 101 103 4 3252 104 5 89 105 6 0 106 7 2849 107 8 1801 108 9 192 109 10 0 111 11 874 112 12 984 114 13 71 115 14 92 116 15 0 117 16 16 118 17 37 119 18 29 120 19 0 128 20 212 129 21 227 130 22 18 134 23 0 135 24 2 136 25 5 138 26 35 139 27 2 140 28 1 141 29 1 142 30 8 143 31 4 144 32 0 145 33 1 146 34 3 147 35 0 148 36 0 162 37 2 165 38 0 167 39 3 201 40 0 213 41 106 214 42 1 220 43 0 233 44 12 234 45 0 237 46 4 249 47 0 257 48 12 265 49 0 266 50 2 267 51 0 310 52 357 320 53 1 321 54 192 322 55 27 323 56 100 324 57 4 325 58 3 326 59 0 327 60 1 331 61 0 332 62 54 334 63 1 350 64 5 352 65 0 353 66 0 354 67 2 355 68 0 356 69 1 358 70 2 359 71 0 360 72 4 361 73 1 363 74 1 364 75 0 365 76 0 368 77 0 369 78 2 511 79 5 512 80 3 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 1228 2.16.2 What are 3 major crops would your household have preferred to grow duri 12366 3691 101 518 97 1 0 101 2 1700 102 3 87 103 4 552 104 5 125 105 6 0 106 7 3334 107 8 1464 108 9 105 109 10 0 111 11 651 112 12 1345 114 13 104 115 14 60 116 15 1 117 16 32 118 17 49 119 18 52 120 19 0 128 20 433 129 21 357 130 22 27 134 23 3 135 24 1 136 25 6 138 26 19 139 27 2 140 28 3 141 29 4 142 30 2 143 31 3 144 32 1 145 33 0 146 34 2 147 35 0 148 36 0 162 37 12 165 38 0 167 39 2 201 40 1 213 41 88 214 42 2 220 43 2 233 44 42 234 45 0 237 46 8 249 47 0 257 48 19 265 49 0 266 50 3 267 51 0 310 52 787 320 53 0 321 54 375 322 55 110 323 56 265 324 57 4 325 58 3 326 59 0 327 60 1 331 61 0 332 62 89 334 63 0 350 64 11 352 65 0 353 66 0 354 67 5 355 68 0 356 69 1 358 70 2 359 71 1 360 72 0 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 5 511 79 2 512 80 1 513 81 0 514 82 0 515 83 0 516 84 0 517 85 0 518 86 1 519 87 0 999 88 0 Sysmiss 3691 2.16.3 What are 3 major crops would your household have preferred to grow duri 8408 7649 99 990 97 1 0 99 1 101 2 486 102 3 199 103 4 369 104 5 142 105 6 0 106 7 1074 107 8 645 108 9 77 109 10 0 111 11 366 112 12 944 114 13 107 115 14 55 116 15 0 117 16 18 118 17 27 119 18 63 120 19 0 128 20 589 129 21 662 130 22 20 134 23 0 135 24 0 136 25 15 138 26 20 139 27 0 140 28 3 141 29 0 142 30 10 143 31 9 144 32 1 145 33 1 146 34 5 147 35 0 148 36 1 162 37 19 165 38 0 167 39 2 201 40 0 213 41 51 214 42 2 220 43 0 233 44 6 234 45 0 237 46 3 249 47 0 257 48 3 265 49 0 266 50 4 267 51 0 310 52 1137 320 53 0 321 54 561 322 55 160 323 56 363 324 57 14 325 58 7 326 59 0 327 60 4 331 61 0 332 62 122 334 63 0 350 64 16 352 65 1 353 66 0 354 67 4 355 68 0 356 69 1 358 70 2 359 71 0 360 72 0 361 73 0 363 74 0 364 75 0 365 76 0 368 77 0 369 78 12 511 79 2 512 80 1 513 81 1 514 82 0 515 83 0 516 84 0 517 85 0 518 86 0 519 87 0 990 1 999 88 0 Sysmiss 7649 segment_weight 16057 12.2830236146464 361.012133274259 Household_ID 64228 11110200101 57423301901 0.1 Province 64228 1 5 1 Kigali 6080 2 South 12652 3 West 13108 4 North 9792 5 East 22596 0.2 District 64228 11 57 11 Nyarugenge 2124 12 Gasabo 2460 13 Kicukiro 1496 21 Nyanza 1164 22 Gisagara 2100 23 Nyaruguru 964 24 Huye 2096 25 Nyamagabe 1632 26 Ruhango 1296 27 Muhanga 1304 28 Kamonyi 2096 31 Karongi 936 32 Rutsiro 1660 33 Rubavu 3072 34 Nyabihu 1904 35 Ngororero 1236 36 Rusizi 2704 37 Nyamasheke 1596 41 Rulindo 1624 42 Gakenke 1408 43 Musanze 2692 44 Burera 1940 45 Gicumbi 2128 51 Rwamagana 2368 52 Nyagatare 4720 53 Gatsibo 3656 54 Kayonza 3548 55 Kirehe 3736 56 Ngoma 2184 57 Bugesera 2384 0.3 Stratum 64228 11 42 11 Intensive cropland on hillsides 34064 20 Intensive cropland in marshlands 412 30 Rangelands 2772 41 Urban area 4344 42 Rural settlement 22636 0.4 Segment 64228 1 72 3.1 Has any member of this household benefited from any extension service during 64228 1 2 1 Yes 17240 2 No 46988 3.2 What type of extension service provided? 64228 1 4 1 Cropping 15312 2 Livestock 336 3 Both cropping and livestock 1592 4 Not benefited 46988 Type of cropping service received 10764 53464 1 11 1 Cropping system 3082 2 Fertilizers application 3636 3 Crop protection 1178 4 Post harvest handling and storage 320 5 Mechanization 9 6 Plant breeding 1376 7 Water harvesting techniques 105 8 Soil protection 522 9 Horticulture skills 174 10 Cooperative cropping based trainings 190 11 Other cropping related extension service(Specify) 172 99 NA 0 Sysmiss 53464 Cropping service provider 10763 53465 1 8 1 MINAGRI/RAB/NAEB 822 2 District Employees 214 3 Cell Employee 4172 4 Sector Employees 1865 5 Research institutions 27 6 NGOs 1762 7 Cooperative 1001 8 Other (specify) 900 Sysmiss 53465 Type of livestock service received 1179 63049 1 8 1 Animal keeping 388 2 Animal feeding 361 3 Veterinary services 183 4 Sanitation 153 5 Fodder storage 45 6 Bee keeping 7 7 Cooperative livestock based trainings 34 8 Other livestock related extension service(Specify) 8 Sysmiss 63049 Livestock service provider 1179 63049 1 8 1 MINAGRI/RAB/NAEB 79 2 District Employees 67 3 Cell Employee 318 4 Sector Employees 546 5 Research institutions 5 6 NGOs 76 7 Cooperative 65 8 Other (specify) 23 Sysmiss 63049 3.5 HH member belong to ?Twigire muhinzi? group 64228 1 2 1 Yes 7124 2 No 57104 3.6 HH member benefited from contract farming during 2016-2017 64228 1 2 1 Yes 2828 2 No 61400 3.7 HH member reared at least one cow during 2016-2017 64228 1 2 1 Yes 23628 2 No 40600 3.8 Was there any reared cow received from GIRINKA program 64228 1 2 1 Yes 3940 2 No 60288 3.9 Was there any reared cow donated by NGOs 23628 40600 1 2 1 Yes 920 2 No 22708 Sysmiss 40600 3.10 Was there any reared cow donated by friends during 2016-2017 Agricultural 23628 40600 1 2 1 Yes 6944 2 No 16684 Sysmiss 40600 3.11 Was there any reared cow bought by any household member during 2016-2017 Ag 23628 40600 1 2 1 Yes 7424 2 No 16204 Sysmiss 40600 3.12 Was there any reared cow that was neither bought nor donated but own raised 25604 38624 1 2 1 Yes 9392 2 No 16212 Sysmiss 38624 3.13 Does any member of this household still have cow provided by GIRINKA Progra 3940 60288 1 2 1 Yes 3596 2 No 344 Sysmiss 60288 3.14 Why she/he doesn?t still have that cow? 344 63884 1 6 1 Died 156 2 Stolen 12 3 Given to other due to lack of fodder and feeding means 12 4 replaced 8 5 bought 128 6 Other reason 28 Sysmiss 63884 3.15 Does any child of your household benefit one cup of milk at school last ter 64228 1 2 1 Yes 1792 2 No 62436 3.16 Do you have a kitchen garden at your home ? 64228 1 2 1 Yes 29220 2 No 35008 segment_weight 64228 12.2830236146464 361.012133274259 Household_ID 16057 11110200101 57423301901 0.1 Province 16057 1 5 1 Kigali 1520 2 South 3163 3 West 3277 4 North 2448 5 East 5649 0.2 District 16057 11 57 11 Nyarugenge 531 12 Gasabo 615 13 Kicukiro 374 21 Nyanza 291 22 Gisagara 525 23 Nyaruguru 241 24 Huye 524 25 Nyamagabe 408 26 Ruhango 324 27 Muhanga 326 28 Kamonyi 524 31 Karongi 234 32 Rutsiro 415 33 Rubavu 768 34 Nyabihu 476 35 Ngororero 309 36 Rusizi 676 37 Nyamasheke 399 41 Rulindo 406 42 Gakenke 352 43 Musanze 673 44 Burera 485 45 Gicumbi 532 51 Rwamagana 592 52 Nyagatare 1180 53 Gatsibo 914 54 Kayonza 887 55 Kirehe 934 56 Ngoma 546 57 Bugesera 596 0.3 Stratum 16057 11 42 11 Intensive cropland on hillsides 8516 20 Intensive cropland in marshlands 103 30 Rangelands 693 41 Urban area 1086 42 Rural settlement 5659 0.4 Segment 16057 1 72 4.1 Does the member of your household have an account in any financial instituti 16057 1 2 1 Yes 8352 2 No 7705 4.2 During 2016-2017, did any member of the household request a loan? 16057 1 2 1 Yes 747 2 No 15310 4.3 From which type of financial Institution was the loan 1 requested? 747 15310 1 9 1 Commercial Bank 62 2 36 3 Microfinance 62 4 SACCO 285 5 VUP financial services loan 31 6 Ubudehe loan 2 7 Employer loan 2 8 Relative /Friend 29 9 Ikimina/Solidarity fund 238 Sysmiss 15310 4.4 Was the requested loan 1 approved? 747 15310 1 3 1 Yes from 75% and above 641 2 Yes but less than 75% 81 3 Rejected 25 Sysmiss 15310 4.5 If the agricultural loan 1 was requested but not approved what was the main 25 16032 1 5 1 Insufficient income 1 2 Insufficient collateral 4 3 Problems related to debts history 0 4 Unclear purpose of the loan 3 5 Other reasons 17 Sysmiss 16032 4.6 From which type of financial Institution was the loan 2 requested? 38 16019 1 9 0 NA 0 1 Commercial Bank 4 2 2 3 Microfinance 2 4 SACCO 11 5 VUP financial services loan 0 6 Ubudehe loan 0 7 Employer loan 0 8 Relative /Friend 2 9 Ikimina/Solidarity fund 17 Sysmiss 16019 4.7 Was the requested loan 2 approved? 38 16019 1 3 1 Yes from 75% and above 32 2 Yes but less than 75% 3 3 Rejected 3 Sysmiss 16019 4.8 If the agricultural loan 2 was requested but not approved what was the main 3 16054 1 4 1 Insufficient income 2 2 Insufficient collateral 0 3 Problems related to debts history 0 4 Unclear purpose of the loan 1 5 Other reasons 0 Sysmiss 16054 4.9 From which type of financial Institution was the loan 3 requested? 4 16053 4 9 0 NA 0 1 Commercial Bank 0 2 0 3 Microfinance 0 4 SACCO 1 5 VUP financial services loan 0 6 Ubudehe loan 0 7 Employer loan 0 8 Relative /Friend 0 9 Ikimina/Solidarity fund 3 Sysmiss 16053 4.10 Was the requested loan 3 approved? 4 16053 3 3 1 Yes from 75% and above 0 2 Yes but less than 75% 0 3 Rejected 4 Sysmiss 16053 4.11 If the agricultural loan 3 was requested but not approved what was the main 4 16053 1 1 1 Insufficient income 4 2 Insufficient collateral 0 3 Problems related to debts history 0 4 Unclear purpose of the loan 0 5 Other reasons 0 Sysmiss 16053 4.12 Have you received any fund for grant for agricultural purpose during 2016-2 16057 1 2 1 Yes 787 2 No 15270 4.13 What is the origin of that grant? 787 15270 1 4 1 Government 410 2 NGOs 107 3 Friends and relatives 240 4 Other 30 Sysmiss 15270 segment_weight 16057 12.2830236146464 361.012133274259 Household_ID 16057 11110200101 57423301901 0.1 Province 16057 1 5 1 Kigali 1520 2 South 3163 3 West 3277 4 North 2448 5 East 5649 0.2 District 16057 11 57 11 Nyarugenge 531 12 Gasabo 615 13 Kicukiro 374 21 Nyanza 291 22 Gisagara 525 23 Nyaruguru 241 24 Huye 524 25 Nyamagabe 408 26 Ruhango 324 27 Muhanga 326 28 Kamonyi 524 31 Karongi 234 32 Rutsiro 415 33 Rubavu 768 34 Nyabihu 476 35 Ngororero 309 36 Rusizi 676 37 Nyamasheke 399 41 Rulindo 406 42 Gakenke 352 43 Musanze 673 44 Burera 485 45 Gicumbi 532 51 Rwamagana 592 52 Nyagatare 1180 53 Gatsibo 914 54 Kayonza 887 55 Kirehe 934 56 Ngoma 546 57 Bugesera 596 0.3 Stratum 16057 11 42 11 Intensive cropland on hillsides 8516 20 Intensive cropland in marshlands 103 30 Rangelands 693 41 Urban area 1086 42 Rural settlement 5659 0.4 Segment 16057 1 72 5.1.1 Did any member of your household use organic fertilizer at least in one of 16057 1 2 1 Yes 11080 2 No 4977 5.1.2.Quantity of organic fertilizer used during agricultural Season A 2017 (Kg 11080 4977 1 9000000 5.1.3 Source of organic fertilizer Season A-Source 1 11080 4977 1 4 1 7972 2 1673 3 543 4 892 Sysmiss 4977 5.1.4 Quantity purchased during agricultural Season A 2017 (Kg) 2216 13841 0 200000 5.1.5 Amount paid for purchasing the organic fertilizer during agricultural Seas 2213 13844 0 5000000 5.1.6 Method used for preparing manure Season A-Methode 1 8515 7542 1 4 1 Compost ditch 3791 2 Ground compost 4458 3 Manure heap 62 4 Prepared in other way 204 Sysmiss 7542 5.1.6 Method used for preparing manure Season A-Methode 2 494 15563 1 4 1 Compost ditch 143 2 Ground compost 311 3 Manure heap 20 4 Prepared in other way 20 Sysmiss 15563 5.1.6 Method used for preparing manure Season A-Methode 3 494 15563 1 9 1 Compost ditch 3 2 Ground compost 0 3 Manure heap 3 4 Prepared in other way 2 9 486 Sysmiss 15563 5.1.7 Quantity of used organic fertilizer that any member of the household recei 897 15160 0 15000 5.1.8. Did any member of your household use lime or gypsum at least in one plot 16057 1 2 1 Yes 347 2 No 15710 5.1.9 Did any member of your household use organic fertilizer at least in one of 16057 1 2 1 Yes 8336 2 No 7721 5.1.10.Quantity of organic fertilizer used during agricultural Season B 2017 (K 8336 7721 1 2500000 5.1.11 Source of organic fertilizer Season B 8336 7721 1 4 1 Own prepared 6590 2 Bought 947 3 One part bought and the other own prepared 237 4 Gift 562 5 One part bought the other own prepared and the other was a gift 0 Sysmiss 7721 5.1.12 Quantity purchased during agricultural Season B 2017 (Kg) 1184 14873 3 200000 5.1.13 Amount paid for purchasing the organic fertilizer during agricultural Sea 1184 14873 10 5000000 5.1.14 Method used for preparing manure Season B-Methode 1 6827 9230 1 4 1 Compost ditch 2836 2 Ground compost 3761 3 Manure heap 45 4 Prepared in other way 185 Sysmiss 9230 5.1.14 Method used for preparing manure Season B-Methode 2 365 15692 1 4 1 Compost ditch 102 2 Ground compost 225 3 Manure heap 19 4 Prepared in other way 19 Sysmiss 15692 5.1.14 Method used for preparing manure Season B-Methode 3 365 15692 1 9 1 Compost ditch 1 2 Ground compost 0 3 Manure heap 4 4 Prepared in other way 0 9 360 Sysmiss 15692 5.1.15 Is there any quantity of used organic fertilizer that any member of the h 16057 * 1 Yes 0 2 No 0 Sysmiss 16057 5.1.16. Did any member of your household use lime or gypsum at least in one plot 16057 1 2 1 Yes 221 2 No 15836 5.2.1 Did any member of your household use inorganic fertilizer at least in one 16057 1 2 1 Yes 4440 2 No 11617 5.2.2 What was the type of inorganic fertilizer used? Type 1 4440 11617 1 9 1 NPK 17-17-17 1239 2 NPK 20-10-10 80 3 NPK 25-5-5 13 4 Urea 738 5 liquid urea 7 6 DAP 2356 7 TSP 0 8 KCL/MOP 1 9 Other inorganic fertilizer (specify) 6 Sysmiss 11617 5.2.3 Measurement unit 4440 11617 1 3 1 Kg 4433 2 g 0 3 l 7 4 cc 0 Sysmiss 11617 5.2.4 Quantity of used fertilizer_Type 1 4440 11617 0.035 1500 5.2.5 Quantity of purchased fertilizer_Type 1 4440 11617 0 1500 5.2.6 Price of inorganic fertilizer_Type 1(RWF/Kg) 4289 11768 200 1080 5.2.7 Source of the used inorganic fertilizer-Source 1 4440 11617 1 5 1 Government (MINAGRI/RAB/NAEB/District) 1439 2 Market 978 3 998 4 NGO 662 5 Other place (specify) 363 Sysmiss 11617 5.2.8 What was the type of inorganic fertilizer used? Type 2 4440 11617 0 9 0 Not Applicable 1836 1 NPK 17-17-17 94 2 NPK 20-10-10 21 3 NPK 25-5-5 4 4 Urea 2000 5 liquid urea 15 6 DAP 455 7 TSP 0 8 KCL/MOP 11 9 Other inorganic fertilizer (specify) 4 Sysmiss 11617 5.2.9 Measurement unit 2605 13452 1 4 1 Kg 2586 2 g 3 3 l 14 4 cc 2 Sysmiss 13452 5.2.10 Quantity of used fertilizer_Type 2 2604 13453 0.5 500 5.2.11 Quantity of purchased fertilizer_Type 2 2604 13453 0 500 5.2.12 Price of inorganic fertilizer_Type 1(RWF/Kg) 2543 13514 175 850 5.2.13 Source of the used inorganic fertilizer-Source 2 2604 13453 1 5 1 Government (MINAGRI/RAB/NAEB/District) 822 2 Market 442 3 595 4 NGO 496 5 Other place (specify) 249 Sysmiss 13453 5.2.14 What was the type of inorganic fertilizer used? Type 3 2605 13452 0 9 0 Not Applicable 2309 1 NPK 17-17-17 45 2 NPK 20-10-10 17 3 NPK 25-5-5 6 4 Urea 131 5 liquid urea 9 6 DAP 71 7 TSP 0 8 KCL/MOP 9 9 Other inorganic fertilizer (specify) 8 Sysmiss 13452 5.2.15 Measurement unit 296 15761 1 4 1 Kg 281 2 g 0 3 l 10 4 cc 5 Sysmiss 15761 5.2.16 Quantity of used fertilizer_Type 3 296 15761 0.15 250 5.2.17 Quantity of purchased fertilizer_Type 3 296 15761 0 250 5.2.18 Price of inorganic fertilizer_Type 3(RWF/Kg) 287 15770 290 1000 290 1 320 2 325 1 330 1 340 1 350 20 355 32 360 11 370 9 375 2 380 20 385 1 390 13 395 1 400 9 410 42 420 17 430 2 440 3 444 1 445 1 450 7 460 2 470 1 480 5 489 1 500 13 510 4 520 31 530 4 540 1 550 10 560 2 566 1 600 9 650 1 660 1 800 1 840 1 900 1 1000 1 Sysmiss 15770 5.2.19 Source of the used inorganic fertilizer-Source 3 296 15761 1 5 1 Government (MINAGRI/RAB/NAEB/District) 87 2 Market 37 3 77 4 NGO 59 5 Other place (specify) 36 Sysmiss 15761 5.2.20 Did any member of your household use inorganic fertilizer at least in one 16057 1 2 1 Yes 3360 2 No 12697 5.2.21 What was the type of inorganic fertilizer used? Type 1 3360 12697 1 9 1 NPK 17-17-17 1251 2 NPK 20-10-10 61 3 NPK 25-5-5 8 4 Urea 534 5 liquid urea 7 6 DAP 1486 7 TSP 0 8 KCL/MOP 5 9 Other inorganic fertilizer (specify) 8 Sysmiss 12697 5.2.22 Measurement unit 3360 12697 1 4 1 Kg 3350 2 g 1 3 l 7 4 cc 2 Sysmiss 12697 5.2.23 Quantity of used fertilizer_Type 1 3360 12697 0.25 7800 5.2.24 Quantity of purchased fertilizer_Type 1 3360 12697 0 1750 5.2.25 Price of inorganic fertilizer_Type 1(RWF/Kg) 3272 12785 150 1200 5.2.26 Source of the used inorganic fertilizer-Source 1 3360 12697 1 5 1 Government (MINAGRI/RAB/NAEB/District) 1124 2 Market 781 3 695 4 NGO 473 5 Other place (specify) 287 Sysmiss 12697 5.2.27 What was the type of inorganic fertilizer used? Type 2 3360 12697 0 9 0 NA 1872 1 NPK 17-17-17 70 2 NPK 20-10-10 6 3 NPK 25-5-5 2 4 Urea 1101 5 liquid urea 15 6 DAP 276 7 TSP 0 8 KCL/MOP 14 9 Other inorganic fertilizer (specify) 4 Sysmiss 12697 5.2.28 Measurement unit 1489 14568 1 4 1 Kg 1470 2 g 2 3 l 16 4 cc 1 Sysmiss 14568 5.2.29 Quantity of used fertilizer_Type 2 1488 14569 0.25 520 5.2.30 Quantity of purchased fertilizer_Type 2 1488 14569 0 500 5.2.31 Price of inorganic fertilizer_Type 2(RWF/Kg) 1460 14597 200 1000 5.2.32 Source of the used inorganic fertilizer-Source 2 1488 14569 1 5 1 Government (MINAGRI/RAB/NAEB/District) 457 2 Market 279 3 305 4 NGO 271 5 Other place (specify) 176 Sysmiss 14569 5.2.33 What was the type of inorganic fertilizer used? Type 3 1488 14569 0 9 0 NA 1328 1 NPK 17-17-17 21 2 NPK 20-10-10 1 3 NPK 25-5-5 1 4 Urea 74 5 liquid urea 6 6 DAP 42 7 TSP 0 8 KCL/MOP 7 9 Other inorganic fertilizer (specify) 8 Sysmiss 14569 5.2.34 Measurement unit 160 15897 1 4 1 Kg 148 2 g 0 3 l 10 4 cc 2 Sysmiss 15897 5.2.35 Quantity of used fertilizer_Type 3 160 15897 0.25 200 0.25 1 0.4 1 1 7 1.5 1 2 3 2.25 1 2.5 6 3 7 3.5 1 4 2 4.5 1 5 24 6 6 7 3 7.5 1 8 3 9 1 10 20 10.5 1 11 4 12 2 12.5 3 13 2 13.5 1 14 1 15 10 15.75 3 16 1 18 2 19.5 1 20 5 23.5 1 24 1 25 9 30 8 35 1 40 1 45 1 50 3 60 2 75 2 80 1 90 1 100 2 120 1 200 1 Sysmiss 15897 5.2.36 Quantity of purchased fertilizer_Type 3 160 15897 0.25 200 0.25 1 0.4 1 1 7 1.5 1 2 3 2.25 1 2.5 6 3 7 3.5 1 4 2 4.5 1 5 24 6 6 7 3 7.5 1 8 3 9 1 10 20 10.5 1 11 4 12 2 12.5 3 13 2 13.5 1 14 1 15 10 15.75 3 16 1 18 2 19.5 1 20 5 23.5 1 24 1 25 9 30 8 35 1 40 1 45 1 50 3 60 2 75 2 80 1 90 1 100 2 120 1 200 1 Sysmiss 15897 5.2.37 Price of inorganic fertilizer_Type 3(RWF/Kg) 160 15897 295 1000 295 1 320 1 325 1 330 1 335 2 350 14 355 17 360 11 365 1 370 2 375 2 380 6 390 14 400 3 410 24 420 6 430 1 450 4 460 1 465 1 470 1 480 2 490 1 500 4 510 4 520 17 540 1 550 2 600 5 650 3 700 4 800 1 1000 2 Sysmiss 15897 5.2.38 Source of the used inorganic fertilizer-Source 3 160 15897 1 5 1 Government (MINAGRI/RAB/NAEB/District) 37 2 Market 32 3 40 4 NGO 29 5 Other place (specify) 22 Sysmiss 15897 5.3.1 Did any member of your household applied pesticide at least in one of the 16057 1 2 1 Yes 2579 2 No 13478 5.3.2 Pesticide used_Type 1 2579 13478 1 9 1 Dithane 869 2 Ridomil 18 3 Dimethoate 129 4 Cypermethrin 847 5 Dursiban 36 6 Tilt 2 7 Pilkare 0 8 Rocket 568 9 Other Pesticide 110 Sysmiss 13478 5.3.3 Measurement unit 2579 13478 1 4 1 Kg 850 2 g 64 3 l 258 4 cc 1407 Sysmiss 13478 5.3.4 Used Quantity of Pesticide used_Type 1 2579 13478 0.02 2000 5.3.5 Purchased Quantity(Kg) 2579 13478 0 2000 5.3.6 Price of purchased Pesticide_Type 1(RWF/Kg) 2391 13666 5 77500 5.3.7 Source of pesticide used-Source 1 2579 13478 1 5 1 Government (MINAGRI/RAB/NAEB/District) 316 2 Market 1733 3 315 4 NGO 44 5 Other place (specify) 171 Sysmiss 13478 5.3.8 What was the purpose of applying pesticide? 2579 13478 1 3 1 Prevent diseases 951 2 Treat diseases 1255 3 Both 373 Sysmiss 13478 5.3.9 Pesticide used_Type 2 2586 13471 0 9 0 NA 1641 1 Dithane 105 2 Ridomil 289 3 Dimethoate 20 4 Cypermethrin 309 5 Dursiban 6 6 Tilt 0 7 Pilkare 0 8 Rocket 104 9 Other Pesticide 112 Sysmiss 13471 5.3.10 Measurement unit 946 15111 1 4 1 Kg 293 2 g 169 3 l 94 4 cc 390 Sysmiss 15111 5.3.11 Used Quantity of Pesticide used_Type 2 946 15111 0.02 8000 5.3.12 Purchased Quantity(Kg) 946 15111 0 8000 5.3.13 Price of purchased Pesticide_Type 2 (RWF/Kg) 929 15128 5 72000 5.3.14 Source of pesticide used-Source 2 946 15111 1 5 1 Government (MINAGRI/RAB/NAEB/District) 74 2 Market 680 3 127 4 NGO 13 5 Other place (specify) 52 Sysmiss 15111 5.3.15 What was the purpose of applying pesticide? 946 15111 1 3 1 Prevent diseases 492 2 Treat diseases 285 3 Both 169 Sysmiss 15111 5.3.16 Pesticide used_Type 3 946 15111 0 9 0 NA 649 1 Dithane 7 2 Ridomil 35 3 Dimethoate 26 4 Cypermethrin 165 5 Dursiban 4 6 Tilt 0 7 Pilkare 0 8 Rocket 19 9 Other Pesticide 41 Sysmiss 15111 5.3.17 Measurement unit 297 15760 1 4 1 Kg 33 2 g 21 3 l 83 4 cc 160 Sysmiss 15760 5.3.18 Used Quantity of Pesticide used_Type 3 297 15760 0.01 3000 5.3.19 Purchased Quantity(Kg) 297 15760 0 3000 5.3.20 Price of purchased Pesticide_Type 3 (RWF/Kg) 295 15762 5 30000 5.3.21 Source of pesticide used-Source 3 297 15760 1 5 1 Government (MINAGRI/RAB/NAEB/District) 13 2 Market 230 3 51 4 NGO 0 5 Other place (specify) 3 Sysmiss 15760 5.3.22 What was the purpose of applying pesticide? 297 15760 1 3 1 Prevent diseases 140 2 Treat diseases 72 3 Both 85 Sysmiss 15760 5.3.23 Did any member of your household applied pesticide at least in one of the 16057 1 2 1 Yes 2767 2 No 13290 5.3.24 Pesticide used_Type 1 2767 13290 1 9 1 Dithane 982 2 Ridomil 32 3 Dimethoate 99 4 Cypermethrin 744 5 Dursiban 20 6 Tilt 3 7 Pilkare 0 8 Rocket 745 9 Other Pesticide 142 Sysmiss 13290 5.3.25 Measurement unit 2767 13290 1 4 1 Kg 955 2 g 89 3 l 307 4 cc 1416 Sysmiss 13290 5.3.26 Used Quantity of Pesticide used_Type 1 2767 13290 0.01 3000 5.3.27 Purchased Quantity(Kg) 2767 13290 0 3000 5.3.28 Price of purchased Pesticide_Type 1(RWF/Kg) 2522 13535 5 77500 5.3.29 Source of pesticide used-Source 1 2767 13290 1 5 1 Government (MINAGRI/RAB/NAEB/District) 426 2 Market 1843 3 332 4 NGO 27 5 Other place (specify) 139 Sysmiss 13290 5.3.30 What was the purpose of applying pesticide? 2767 13290 1 3 1 Prevent diseases 1036 2 Treat diseases 1341 3 Both 390 Sysmiss 13290 5.3.31 Pesticide used_Type 2 2770 13287 0 9 0 NA 1784 1 Dithane 94 2 Ridomil 341 3 Dimethoate 21 4 Cypermethrin 302 5 Dursiban 1 6 Tilt 0 7 Pilkare 0 8 Rocket 104 9 Other Pesticide 123 Sysmiss 13287 5.3.32 Measurement unit 987 15070 1 4 1 Kg 291 2 g 213 3 l 83 4 cc 400 Sysmiss 15070 5.3.33 Used Quantity of Pesticide used_Type 2 987 15070 0.01 2000 5.3.34 Purchased Quantity(Kg) 987 15070 0 2000 5.3.35 Price of purchased Pesticide_Type 2 (RWF/Kg) 968 15089 5 130000 5.3.36 Source of pesticide used-Source 2 986 15071 1 5 1 Government (MINAGRI/RAB/NAEB/District) 93 2 Market 700 3 132 4 NGO 11 5 Other place (specify) 50 Sysmiss 15071 5.3.37 What was the purpose of applying pesticide? 986 15071 1 3 1 Prevent diseases 531 2 Treat diseases 292 3 Both 163 Sysmiss 15071 5.3.38 Pesticide used_Type 3 986 15071 0 9 0 NA 711 1 Dithane 8 2 Ridomil 32 3 Dimethoate 19 4 Cypermethrin 169 5 Dursiban 0 6 Tilt 0 7 Pilkare 0 8 Rocket 15 9 Other Pesticide 32 Sysmiss 15071 5.3.39 Measurement unit 276 15781 1 4 1 Kg 27 2 g 18 3 l 68 4 cc 163 Sysmiss 15781 5.3.40 Used Quantity of Pesticide used_Type 3 276 15781 0.01 2000 5.3.41 Purchased Quantity(Kg) 276 15781 0 2000 5.3.42 Price of purchased Pesticide_Type 3 (RWF/Kg) 202 15855 2 9 2 1 5 78 6 18 7 48 8 21 9 36 Sysmiss 15855 5.3.43 Source of pesticide used-Source 3 274 15783 1 5 1 Government (MINAGRI/RAB/NAEB/District) 9 2 Market 218 3 43 4 NGO 0 5 Other place (specify) 4 Sysmiss 15783 5.3.44 What was the purpose of applying pesticide? 274 15783 1 3 1 Prevent diseases 124 2 Treat diseases 57 3 Both 93 Sysmiss 15783 5.4.1 Crops planted in season A-Crop 1 14931 1126 101 516 97 1 0 98 2 0 99 3 0 101 4 4762 102 5 118 103 6 448 104 7 33 105 8 0 106 9 4761 107 10 2622 108 11 79 109 12 0 111 13 575 112 14 390 114 15 59 115 16 25 116 17 1 117 18 12 118 19 13 119 20 15 120 21 0 128 22 99 129 23 113 130 24 8 134 25 0 135 26 0 136 27 4 138 28 23 139 29 0 140 30 4 141 31 0 142 32 2 143 33 4 144 34 0 145 35 0 146 36 5 147 37 0 148 38 0 162 39 9 165 40 0 167 41 1 201 42 0 213 43 59 214 44 1 220 45 0 233 46 13 234 47 0 237 48 2 249 49 1 257 50 7 265 51 0 266 52 0 267 53 0 310 54 257 320 55 0 321 56 197 322 57 36 323 58 118 324 59 3 325 60 4 326 61 0 327 62 1 331 63 0 332 64 33 334 65 0 350 66 1 352 67 0 353 68 0 354 69 2 355 70 0 356 71 0 358 72 1 359 73 0 360 74 0 361 75 0 363 76 1 364 77 0 365 78 0 368 79 0 369 80 1 511 81 5 512 82 2 513 83 0 514 84 0 515 85 0 516 86 1 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 1126 5.4.2 Type of seeds used season A 14931 1126 1 3 1 Traditional seeds 12720 2 Improved seeds 2082 3 Both 129 Sysmiss 1126 5.4.3 Quantity of traditional seeds sown ( Kg) 12828 3229 0 100000 5.4.4 Quantity of traditional seeds bought ( Kg) 12828 3229 0 10000 5.4.5 Amount spent for the purchase of traditional seeds ( RWF) 6899 9158 0 5000000 5.4.6 Quantity of improved seeds sown (Kg) 2213 13844 0 1500 5.4.7 Quantity of improved seed brought (Kg) 2211 13846 0 1500 5.4.8 Amount spent to the purchase of seeds (RWF) 2075 13982 1 450000 5.4.9 Source of improved seeds used 2211 13846 1 5 1 Government (MINAGRI/RAB/NAEB/District) 736 2 Market 408 3 556 4 NGO 322 5 Other place (specify) 189 Sysmiss 13846 5.4.1 Crops planted in season A-Crop 2 12735 3322 101 512 97 1 0 98 2 0 99 3 0 101 4 2923 102 5 86 103 6 175 104 7 53 105 8 0 106 9 3271 107 10 1323 108 11 134 109 12 0 111 13 489 112 14 1292 114 15 53 115 16 25 116 17 0 117 18 25 118 19 14 119 20 36 120 21 0 128 22 404 129 23 287 130 24 10 134 25 1 135 26 1 136 27 3 138 28 15 139 29 2 140 30 0 141 31 2 142 32 2 143 33 8 144 34 0 145 35 0 146 36 5 147 37 1 148 38 0 162 39 6 165 40 0 167 41 1 201 42 0 213 43 136 214 44 0 220 45 2 233 46 23 234 47 0 237 48 5 249 49 1 257 50 7 265 51 0 266 52 0 267 53 0 310 54 1045 320 55 0 321 56 416 322 57 121 323 58 266 324 59 4 325 60 3 326 61 0 327 62 2 331 63 0 332 64 36 334 65 0 350 66 13 352 67 0 353 68 0 354 69 0 355 70 0 356 71 1 358 72 0 359 73 1 360 74 0 361 75 0 363 76 0 364 77 0 365 78 0 368 79 0 369 80 3 511 81 2 512 82 1 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 3322 5.4.2 Type of seeds used season A 12735 3322 1 3 1 Traditional seeds 11642 2 Improved seeds 1029 3 Both 64 Sysmiss 3322 5.4.3 Quantity of traditional seeds sown ( Kg) 11692 4365 0 1800 5.4.4 Quantity of traditional seeds bought ( Kg) 11693 4364 0 700 5.4.5 Amount spent for the purchase of traditional seeds ( RWF) 6166 9891 0 750000 5.4.6 Quantity of improved seeds sown (Kg) 1093 14964 0.01 700 5.4.7 Quantity of improved seed brought (Kg) 1093 14964 0 300 5.4.8 Amount spent to the purchase of seeds (RWF) 1074 14983 0 500000 5.4.9 Source of improved seeds used 1093 14964 1 5 1 Government (MINAGRI/RAB/NAEB/District) 405 2 Market 212 3 251 4 NGO 145 5 Other place (specify) 80 Sysmiss 14964 5.4.1 Crops planted in season A-Crop 3 8298 7759 101 511 97 1 0 98 2 0 99 3 0 101 4 578 102 5 143 103 6 160 104 7 38 105 8 0 106 9 519 107 10 357 108 11 104 109 12 0 111 13 279 112 14 1233 114 15 84 115 16 31 116 17 1 117 18 17 118 19 17 119 20 40 120 21 0 128 22 416 129 23 466 130 24 30 134 25 0 135 26 0 136 27 7 138 28 14 139 29 1 140 30 5 141 31 9 142 32 3 143 33 5 144 34 1 145 35 0 146 36 1 147 37 0 148 38 0 162 39 22 165 40 0 167 41 2 201 42 0 213 43 131 214 44 4 220 45 0 233 46 9 234 47 0 237 48 2 249 49 0 257 50 5 265 51 0 266 52 3 267 53 0 310 54 2053 320 55 0 321 56 660 322 57 186 323 58 511 324 59 13 325 60 7 326 61 0 327 62 3 331 63 0 332 64 94 334 65 0 350 66 15 352 67 2 353 68 0 354 69 4 355 70 0 356 71 0 358 72 1 359 73 0 360 74 1 361 75 0 363 76 0 364 77 0 365 78 0 368 79 0 369 80 10 511 81 1 512 82 0 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 7759 5.4.2 Type of seeds used season A 8298 7759 1 3 1 Traditional seeds 7857 2 Improved seeds 425 3 Both 16 Sysmiss 7759 5.4.3 Quantity of traditional seeds sown ( Kg) 7862 8195 0.01 5400 5.4.4 Quantity of traditional seeds bought ( Kg) 7862 8195 0 800 5.4.5 Amount spent for the purchase of traditional seeds ( RWF) 4132 11925 0 360000 5.4.6 Quantity of improved seeds sown (Kg) 441 15616 0 400 5.4.7 Quantity of improved seed brought (Kg) 441 15616 0 400 5.4.8 Amount spent to the purchase of seeds (RWF) 438 15619 0 200000 5.4.9 Source of improved seeds used 441 15616 1 5 1 Government (MINAGRI/RAB/NAEB/District) 149 2 Market 104 3 60 4 NGO 61 5 Other place (specify) 67 Sysmiss 15616 5.4.10 Crops planted in season B-Crop 1 15129 928 101 512 97 1 0 98 2 0 99 3 0 101 4 2681 102 5 132 103 6 2373 104 7 99 105 8 0 106 9 4429 107 10 2527 108 11 84 109 12 0 111 13 764 112 14 558 114 15 56 115 16 50 116 17 2 117 18 8 118 19 28 119 20 16 120 21 0 128 22 200 129 23 212 130 24 14 134 25 0 135 26 0 136 27 1 138 28 33 139 29 1 140 30 1 141 31 1 142 32 4 143 33 2 144 34 0 145 35 1 146 36 3 147 37 0 148 38 0 162 39 5 165 40 0 167 41 2 201 42 0 213 43 45 214 44 0 220 45 0 233 46 22 234 47 0 237 48 3 249 49 1 257 50 11 265 51 0 266 52 1 267 53 0 310 54 297 320 55 0 321 56 210 322 57 30 323 58 128 324 59 2 325 60 4 326 61 0 327 62 2 331 63 0 332 64 63 334 65 0 350 66 6 352 67 0 353 68 0 354 69 2 355 70 0 356 71 0 358 72 2 359 73 0 360 74 1 361 75 0 363 76 1 364 77 0 365 78 0 368 79 0 369 80 2 511 81 5 512 82 4 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 928 5.4.11 Type of seeds used season B 15129 928 1 3 1 Traditional seeds 14150 2 Improved seeds 922 3 Both 57 Sysmiss 928 5.4.12 Quantity of traditional seeds sown ( Kg) 14098 1959 0 20000 5.4.13 Quantity of traditional seeds bought ( Kg) 14097 1960 0 7000 5.4.14 Amount spent for the purchase of traditional seeds ( RWF) 6383 9674 0 3390000 5.4.15 Source of improved seeds/seedling 978 15079 1 5 1 Government (MINAGRI/RAB/NAEB/District) 328 2 Market 210 3 232 4 NGO 111 5 Other place (specify) 97 Sysmiss 15079 5.4.16 Quantity of improved seeds sown ( Kg) 978 15079 0 10000 5.4.17 Quantity of improved seeds bought ( Kg) 978 15079 0 300 5.4.18 Amount spent for the purchase of improved seeds ( RWF) 902 15155 0 300000 5.4.10 Crops planted in season B-Crop 2 12202 3855 101 512 97 1 0 98 2 0 99 3 0 101 4 1990 102 5 123 103 6 732 104 7 133 105 8 0 106 9 3058 107 10 1201 108 11 120 109 12 0 111 13 406 112 14 1311 114 15 75 115 16 35 116 17 0 117 18 21 118 19 23 119 20 36 120 21 0 128 22 477 129 23 384 130 24 31 134 25 0 135 26 0 136 27 4 138 28 23 139 29 1 140 30 1 141 31 4 142 32 3 143 33 2 144 34 2 145 35 1 146 36 3 147 37 0 148 38 1 162 39 9 165 40 0 167 41 1 201 42 0 213 43 78 214 44 1 220 45 3 233 46 48 234 47 0 237 48 4 249 49 0 257 50 16 265 51 0 266 52 3 267 53 0 310 54 721 320 55 0 321 56 464 322 57 138 323 58 345 324 59 7 325 60 3 326 61 0 327 62 1 331 63 0 332 64 131 334 65 0 350 66 12 352 67 0 353 68 0 354 69 3 355 70 0 356 71 1 358 72 0 359 73 1 360 74 0 361 75 0 363 76 0 364 77 0 365 78 0 368 79 0 369 80 7 511 81 2 512 82 2 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 3855 5.4.11 Type of seeds used season B 12202 3855 1 3 1 Traditional seeds 11616 2 Improved seeds 555 3 Both 31 Sysmiss 3855 5.4.12 Quantity of traditional seeds sown ( Kg) 11494 4563 0 2800 5.4.13 Quantity of traditional seeds bought ( Kg) 11494 4563 0 1000 5.4.14 Amount spent for the purchase of traditional seeds ( RWF) 4914 11143 0 500000 5.4.15 Source of improved seeds/seedling 585 15472 1 5 1 Government (MINAGRI/RAB/NAEB/District) 218 2 Market 147 3 108 4 NGO 56 5 Other place (specify) 56 Sysmiss 15472 5.4.16 Quantity of improved seeds sown ( Kg) 586 15471 0 450 5.4.17 Quantity of improved seeds bought ( Kg) 586 15471 0 200 5.4.18 Amount spent for the purchase of improved seeds ( RWF) 578 15479 0 500000 5.4.10 Crops planted in season B-Crop 3 7109 8948 99 511 97 1 0 98 2 0 99 3 1 101 4 455 102 5 150 103 6 370 104 7 74 105 8 0 106 9 577 107 10 305 108 11 75 109 12 0 111 13 211 112 14 1045 114 15 77 115 16 24 116 17 0 117 18 19 118 19 15 119 20 43 120 21 0 128 22 449 129 23 518 130 24 32 134 25 1 135 26 2 136 27 8 138 28 14 139 29 0 140 30 3 141 31 2 142 32 5 143 33 6 144 34 0 145 35 0 146 36 6 147 37 0 148 38 0 162 39 9 165 40 0 167 41 3 201 42 0 213 43 51 214 44 1 220 45 0 233 46 9 234 47 0 237 48 6 249 49 0 257 50 4 265 51 0 266 52 4 267 53 0 310 54 955 320 55 0 321 56 642 322 57 180 323 58 514 324 59 14 325 60 6 326 61 0 327 62 3 331 63 0 332 64 178 334 65 0 350 66 19 352 67 1 353 68 0 354 69 3 355 70 0 356 71 1 358 72 2 359 73 0 360 74 0 361 75 0 363 76 0 364 77 0 365 78 0 368 79 0 369 80 14 511 81 3 512 82 0 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 8948 5.4.11 Type of seeds used season B 7109 8948 1 3 1 Traditional seeds 3679 2 Improved seeds 368 3 Both 3062 Sysmiss 8948 5.4.12 Quantity of traditional seeds sown ( Kg) 6656 9401 0 750 5.4.13 Quantity of traditional seeds bought ( Kg) 6656 9401 0 300 5.4.14 Amount spent for the purchase of traditional seeds ( RWF) 3118 12939 0 300000 5.4.15 Source of improved seeds/seedling 376 15681 1 5 1 Government (MINAGRI/RAB/NAEB/District) 136 2 Market 105 3 45 4 NGO 33 5 Other place (specify) 57 Sysmiss 15681 5.4.16 Quantity of improved seeds sown ( Kg) 3424 12633 0 750 5.4.17 Quantity of improved seeds bought ( Kg) 3424 12633 0 750 0 2521 0.01 4 0.03 4 0.04 3 0.05 13 0.07 1 0.1 9 0.13 1 0.15 2 0.2 4 0.25 13 0.3 3 0.4 1 0.5 11 0.6 1 0.75 1 1 22 1.5 8 2 38 2.5 3 3 15 4 15 4.5 2 5 16 5.5 1 6 23 7 8 7.5 1 8 11 9 2 10 11 12 3 14 2 15 5 16 3 20 4 25 1 30 2 35 1 36 1 45 1 50 4 99 624 100 1 120 1 150 2 750 1 Sysmiss 12633 5.4.18 Amount spent for the purchase of improved seeds ( RWF) 264 15793 0 200000 segment_weight 16057 12.2830236146464 361.012133274259 Household_ID 16057 11110200101 57423301901 household engaged in cropping in season B 16057 1 2 1 15122 2 935 households who engaged in cropping in one of seasons 16057 1 2 1 15487 2 570 2.7.1 What are major 3 crops did your household grow during Season A 2017-Crop 1 14931 1126 101 516 101 5085 102 107 103 462 104 28 106 4407 107 2359 108 98 111 561 112 581 114 61 115 26 116 1 117 15 118 11 119 16 128 100 129 112 130 4 135 1 136 5 138 21 140 3 142 1 143 3 146 5 162 10 213 82 214 1 233 12 237 1 249 1 257 8 310 302 321 214 322 36 323 131 324 3 325 3 327 1 332 35 350 3 354 2 358 2 363 1 369 1 511 6 512 2 516 1 Sysmiss 1126 2.7.2 What are major 3 crops did your household grow during Season A 2017-Crop 2 12758 3299 101 512 2.7.3 What are major 3 crops did your household grow during Season A 2017-Crop 3 8355 7702 101 512 101 635 102 152 103 162 104 48 106 598 107 482 108 102 111 276 112 1089 114 73 115 33 116 1 117 18 118 20 119 42 128 470 129 498 130 31 136 5 138 15 140 6 141 9 142 3 143 7 144 1 146 1 162 19 167 2 213 125 214 3 233 9 237 2 257 5 266 3 310 1959 321 645 322 177 323 489 324 12 325 8 327 4 332 85 350 14 352 2 354 3 369 9 511 1 512 2 Sysmiss 7702 2.15.1 What are major 3 crops did your household grow during Season B 2017-Crop 15121 936 101 512 2.15. 2 What are major 3 crops did your household grow during Season B 2017-Crop 12195 3862 101 512 2.15.3 What are major 3 crops did your household grow during Season B 2017-Crop 7214 8843 99 512 0.1 Province 16057 1 5 1 Kigali 1520 2 South 3163 3 West 3277 4 North 2448 5 East 5649 0.2 District 16057 11 57 11 Nyarugenge 531 12 Gasabo 615 13 Kicukiro 374 21 Nyanza 291 22 Gisagara 525 23 Nyaruguru 241 24 Huye 524 25 Nyamagabe 408 26 Ruhango 324 27 Muhanga 326 28 Kamonyi 524 31 Karongi 234 32 Rutsiro 415 33 Rubavu 768 34 Nyabihu 476 35 Ngororero 309 36 Rusizi 676 37 Nyamasheke 399 41 Rulindo 406 42 Gakenke 352 43 Musanze 673 44 Burera 485 45 Gicumbi 532 51 Rwamagana 592 52 Nyagatare 1180 53 Gatsibo 914 54 Kayonza 887 55 Kirehe 934 56 Ngoma 546 57 Bugesera 596 0.3 Stratum 16057 11 42 11 Intensive cropland on hillsides 8516 20 Intensive cropland in marshlands 103 30 Rangelands 693 41 Urban area 1086 42 Rural settlement 5659 0.4 Segment 16057 1 72 6.1.1 Did any member of your household practice any type of erosion control meas 16057 1 2 1 Yes 9837 2 No 6220 6.1.2.1 Soil protection measure-Measure 1 9837 6220 1 9 1 Radical terraces 740 2 progressive terraces 521 3 Trenches (imiringoti) 3327 4 Trees/Wind break/Shelterbelt 300 5 Cover plants/grasses 3446 6 Water drainage 259 7 Mulching 188 8 Beds/ridges 1019 9 Others 37 Sysmiss 6220 6.1.2.2 Soil protection measure-Measure 2 5472 10585 1 9 1 Radical terraces 93 2 progressive terraces 282 3 Trenches (imiringoti) 959 4 Trees/Wind break/Shelterbelt 396 5 Cover plants/grasses 3310 6 Water drainage 96 7 Mulching 125 8 Beds/ridges 191 9 Others 20 99 NA 0 Sysmiss 10585 6.1.2.3 Soil protection measure-Measure 3 1027 15030 1 9 1 Radical terraces 22 2 progressive terraces 48 3 Trenches (imiringoti) 144 4 Trees/Wind break/Shelterbelt 215 5 Cover plants/grasses 303 6 Water drainage 65 7 Mulching 114 8 Beds/ridges 106 9 Others 10 99 NA 0 Sysmiss 15030 6.1.3 Is soil erosion on any of your household member?s land increasing over tim 16052 5 1 3 1 Yes 3154 2 No 12105 3 Don't know 793 Sysmiss 5 6.1.4.1 Main form of erosion -Form 1 8112 7945 1 4 1 loss of top soil 6363 2 change in soil color 207 3 reduction of the yield over time 1412 4 Other 130 9 NA 0 Sysmiss 7945 6.1.4.2 Main form of erosion -Form 2 2204 13853 1 4 1 loss of top soil 310 2 change in soil color 528 3 reduction of the yield over time 1292 4 Other 74 9 NA 0 Sysmiss 13853 6.1.4.3 Main form of erosion -Form 3 494 15563 1 4 1 loss of top soil 41 2 change in soil color 124 3 reduction of the yield over time 314 4 Other 15 9 NA 0 Sysmiss 15563 6.1.5.0 Are there any limitation in applying soil protection? 16051 6 1 2 1 Yes 3075 2 No 12976 Sysmiss 6 6.1.5.1 Limitations in applying soil protection-Limitation 1 3075 12982 1 5 1 Lack of finance resources 1622 2 Lack of family labor assigned to this task 313 3 Land tenure insecurity 415 4 Lack of knowledge 472 5 Other limitations 253 Sysmiss 12982 6.1.5.1-A-Other Limitation specify-1 16057 6.1.5.2 Limitations in applying soil protection-Limitation 2 1123 14934 1 5 1 Lack of finance resources 225 2 Lack of family labor assigned to this task 298 3 Land tenure insecurity 120 4 Lack of knowledge 420 5 Other limitations 60 9 NA 0 Sysmiss 14934 6.1.5.1-A-Other Limitation specify-2 16057 6.1.5.3 Limitations in applying soil protection-Limitation 3 250 15807 1 5 1 Lack of finance resources 16 2 Lack of family labor assigned to this task 61 3 Land tenure insecurity 24 4 Lack of knowledge 134 5 Other limitations 15 9 NA 0 Sysmiss 15807 6.1.5.1-A-Other Limitation specify-3 16057 16017 - 4 _ 2 0 2 1 1 ABANTU BADAFATA AMAZI KU MAZU 1 AMAZI ATERWA NO GUTEMBA IBITI 1 AMAZI MENSHI 1 AMAZI MENSHI AHANYURA 1 AMAZI YATURUKAGA MU MUHANDA 1 IMBARAGA NKE ZOKUBIKORA 1 IMITERERE YUBUTAKA 1 INKA ZIRAHANGIZA 1 INTEGE NKE 1 IZUBA RYINSHI MUGIHE CYITERA 1 KUBA BATABONA UBUSHOBOZI 1 KUBURA AMAFARANGA 1 KUBURA IBIKORESHO 2 KUBURA IMBARAGA ZO KURWANYA IS 1 KUTAGIRA UBUMENYI BUHAGIJE 1 Sysmiss 2 NI KUMUSOZI 1 NTAYINDI 2 NTAZO 2 UBUHANAME 3 UBUHANAME BUKABIJE 1 UBUMENYI BUKE 1 UBUSAZA 1 UBUSHOBOZI BUKE 1 UMWANYA URABURA 1 6.2.1 Household practice any irrigation technique? 16057 1 2 1 Yes 1495 2 No 14562 6.2.2.1 Which irrigation technics -Technic 1 1495 14562 1 5 1 Surface irrigation 346 2 Flood irrigation (for paddy) 236 3 Drip irrigation 12 4 Sprinkler irrigation 51 5 Traditional technique 850 Sysmiss 14562 6.2.2.2 Which irrigation technics- Technic 2 1495 14562 1 9 1 Surface irrigation 30 2 Flood irrigation (for paddy) 5 3 Drip irrigation 0 4 Sprinkler irrigation 4 5 Traditional technique 78 9 NA 1378 Sysmiss 14562 6.2.2.3 Which irrigation technics- Technic 3 117 15940 1 9 1 Surface irrigation 4 2 Flood irrigation (for paddy) 0 3 Drip irrigation 0 4 Sprinkler irrigation 1 5 Traditional technique 2 9 NA 110 Sysmiss 15940 6.2.3.1 Main source of water used for irrigation-Source 1 1495 14562 1 7 1 rainwater harvesting 30 2 water treatment plant 92 3 Underground water 457 4 Lake/stream water 746 5 Valley dam 100 6 Hillside dam 18 7 Other 52 Sysmiss 14562 6.2.3.2 Main source of water used for irrigation-Source 2 1495 14562 1 9 1 rainwater harvesting 3 2 water treatment plant 7 3 Underground water 8 4 Lake/stream water 14 5 Valley dam 10 6 Hillside dam 0 7 Other 6 9 NA 1447 Sysmiss 14562 6.2.3.3 Main source of water used for irrigation-Source 3 48 16009 5 9 1 rainwater harvesting 0 2 water treatment plant 0 3 Underground water 0 4 Lake/stream water 0 5 Valley dam 2 6 Hillside dam 1 7 Other 0 9 NA 45 Sysmiss 16009 6.2.4 Use any mechanical equipment 16052 5 1 2 1 Yes 23 2 No 16029 Sysmiss 5 6.2.5.1 Mechanical equipment used-Tech Equip 1 23 16034 1 2 1 Oxen 1 2 Tractor 22 3 Other mechanical equipment 0 Sysmiss 16034 6.2.5.1 Mechanical equipment used-Tech Equip 2 23 16034 3 9 1 Oxen 0 2 Tractor 0 3 Other mechanical equipment 1 9 NA 22 Sysmiss 16034 6.2.5.3 Mechanical equipment used-Tech Equip 3 1 16056 9 9 1 Oxen 0 2 Tractor 0 3 Other mechanical equipment 0 9 NA 1 Sysmiss 16056 segment_weight 16057 12.2830236146464 361.012133274259 Household_ID 362203 11110200101 57423301901 0.1 Province 362203 1 5 1 Kigali 33379 2 South 74037 3 West 69694 4 North 58922 5 East 126171 0.2 District 362203 11 57 11 Nyarugenge 11981 12 Gasabo 12727 13 Kicukiro 8671 21 Nyanza 7699 22 Gisagara 13130 23 Nyaruguru 6333 24 Huye 12973 25 Nyamagabe 10989 26 Ruhango 8541 27 Muhanga 8249 28 Kamonyi 6123 31 Karongi 5637 32 Rutsiro 10867 33 Rubavu 19580 34 Nyabihu 8505 35 Ngororero 7983 36 Rusizi 12219 37 Nyamasheke 4903 41 Rulindo 8573 42 Gakenke 8738 43 Musanze 15422 44 Burera 12711 45 Gicumbi 13478 51 Rwamagana 13277 52 Nyagatare 29915 53 Gatsibo 23386 54 Kayonza 8135 55 Kirehe 23032 56 Ngoma 14117 57 Bugesera 14309 0.3 Stratum 362203 11 42 11 Intensive cropland on hillsides 194750 20 Intensive cropland in marshlands 1929 30 Rangelands 15856 41 Urban area 25159 42 Rural settlement 124509 0.4 Segment 362203 1 72 7.1 small tools name 346148 16055 1 26 1 Barrel 13192 2 Basket 13918 3 Bowl 13771 4 Crops Sprayer 13311 5 Fork hoe 14155 6 Hoe 15521 7 Hoe sleeve 15040 8 Jerry-can 14302 9 Machete 15012 10 Pick/ Ipiki 13153 11 Sack 15019 12 Scale 13093 13 Saw 13013 14 Secateurs 12973 15 Sheeting 13322 16 Shovel/igitiyo 13446 17 Chum 13074 18 Milk can 12956 19 Milk Jug 12936 20 Sickle 13800 21 Spring Hoe 13052 22 Watering can 13119 23 Wheelbarrow 12926 24 Winnower 12850 25 Bucket 13521 26 Other small tool 5673 99 NA 0 Sysmiss 16055 7.2 Does any member of your household own this tool for farming activities 346148 16055 1 2 1 Yes 110370 2 No 235778 Sysmiss 16055 7.3 The number of this tool owned by the household 110406 251797 0 8000 7.4 Number of tools puchased by your household during agricultural year 2016-20 110408 251795 0 200 0 70633 1 23958 2 9773 3 2946 4 1179 5 909 6 270 7 104 8 109 9 19 10 251 11 5 12 34 13 5 14 9 15 45 16 8 17 3 18 2 19 1 20 55 21 2 23 5 25 6 26 1 30 24 31 1 32 2 35 4 40 9 42 1 45 2 48 1 50 11 52 1 55 1 60 1 70 2 80 1 100 4 120 2 140 1 150 1 180 2 200 5 Sysmiss 251795 7.5 Unit price for the purchased tool 39773 322430 1 450000 7.6 Number of this tool rented by your household 110404 251799 0 7000 0 109689 1 533 2 56 3 15 4 3 5 2 7 2 8 13 10 1 12 3 15 1 17 1 30 2 200 4 250 3 300 22 400 1 450 1 500 6 600 2 900 1 1000 4 1008 1 1200 1 1500 6 1700 4 1800 10 2000 10 2500 2 3000 2 5000 2 7000 1 Sysmiss 251799 7.7 Amount paid for rented small tools 719 361484 0 72000 0 513 1 14 2 7 3 2 70 1 100 3 150 1 200 12 300 4 400 4 500 22 600 4 700 2 900 1 1000 22 1050 1 1200 6 1300 1 1500 10 1750 1 1800 4 2000 24 2500 3 2700 1 3000 12 3500 1 3600 2 4000 7 4500 1 4800 2 4900 1 5000 6 5600 1 6000 6 7000 1 8000 1 9000 1 9600 1 10000 3 12000 2 15000 2 18000 1 19200 1 25000 1 45000 1 63000 1 72000 1 Sysmiss 361484 segment_weight 362203 12.2830236146464 361.012133274259 Household_ID 207049 11110200101 57423301901 0.1 Province 207049 1 5 1 Kigali 19701 2 South 44873 3 West 40024 4 North 36596 5 East 65855 0.2 District 207049 11 57 11 Nyarugenge 7024 12 Gasabo 7485 13 Kicukiro 5192 21 Nyanza 4907 22 Gisagara 8011 23 Nyaruguru 3980 24 Huye 7556 25 Nyamagabe 6891 26 Ruhango 5413 27 Muhanga 5285 28 Kamonyi 2830 31 Karongi 3158 32 Rutsiro 6739 33 Rubavu 12555 34 Nyabihu 3496 35 Ngororero 5152 36 Rusizi 6879 37 Nyamasheke 2045 41 Rulindo 5117 42 Gakenke 5458 43 Musanze 9593 44 Burera 8147 45 Gicumbi 8281 51 Rwamagana 7755 52 Nyagatare 17739 53 Gatsibo 14589 54 Kayonza 1337 55 Kirehe 11212 56 Ngoma 7152 57 Bugesera 6071 0.3 Stratum 207049 11 42 11 Intensive cropland on hillsides 113169 20 Intensive cropland in marshlands 938 30 Rangelands 9370 41 Urban area 15624 42 Rural settlement 67948 0.4 Segment 207049 1 72 7.8 Durable tool name 198273 8776 1 18 1 Drying ground 11835 2 Storage facilities 11749 3 Animal shed facilities 12168 4 Motorcycle 11841 5 Bicycle/Ikinyamitende 11801 6 Vehicle used for agriculture transportation 11824 7 Ploughing machine 11819 8 Sowing machine 11810 9 Pealing machine 11816 10 Motor-pump 11813 11 Spray machine 11799 12 Fertilizer drop machine 11799 13 Thresher machine 11801 14 Harvesting machine 11791 15 Barn 12465 16 Milking machine 11641 17 Other durable tool 2275 18 Bike 6226 99 NA 0 Sysmiss 8776 7.9 Did any member of your household use this equipment? 198273 8776 1 2 1 Yes 8097 2 No 190176 Sysmiss 8776 7.10 The number of this tool existing in the farm at the day of interview 8116 198933 0 2000 0 214 1 7161 2 579 3 108 4 29 5 6 6 7 7 1 8 1 9 2 10 2 11 2 20 1 25 1 295 1 2000 1 Sysmiss 198933 7.11 Number of tools acquired during agricultural year 2016-2017 8116 198933 0 8000 0 6912 1 1108 2 70 3 13 4 6 6 3 7 1 70 1 500 1 8000 1 Sysmiss 198933 7.12 Unit price for the purchased tool (RWF) 1655 205394 0 21000000 7.13 Number of this rented by your household member 7683 199366 0 1500 0 7514 1 133 2 14 3 3 4 6 5 5 6 2 8 1 10 1 25 1 52 1 1500 2 Sysmiss 199366 7.14 Amount paid for rented durable tools 861 206188 0 1900000 segment_weight 207049 12.2830236146464 361.012133274259 Household_ID 35844 11110200101 57423301901 0.1 Province 35844 1 5 1 Kigali 3231 2 South 7733 3 West 6687 4 North 5243 5 East 12950 0.2 District 35844 11 57 11 Nyarugenge 1184 12 Gasabo 1254 13 Kicukiro 793 21 Nyanza 688 22 Gisagara 1260 23 Nyaruguru 642 24 Huye 1194 25 Nyamagabe 1061 26 Ruhango 813 27 Muhanga 843 28 Kamonyi 1232 31 Karongi 605 32 Rutsiro 982 33 Rubavu 1103 34 Nyabihu 707 35 Ngororero 802 36 Rusizi 1481 37 Nyamasheke 1007 41 Rulindo 939 42 Gakenke 952 43 Musanze 1288 44 Burera 894 45 Gicumbi 1170 51 Rwamagana 1342 52 Nyagatare 2519 53 Gatsibo 2141 54 Kayonza 2086 55 Kirehe 2161 56 Ngoma 1390 57 Bugesera 1311 0.3 Stratum 35844 11 42 11 20506 20 238 30 1457 41 1614 42 12029 0.4 Segment 35844 1 72 8.1.1 Crop name 35844 8.1.2 Crop code 1 35833 11 101 516 97 1 0 101 2 8247 102 3 346 103 4 785 104 5 124 105 6 0 106 7 8533 107 8 4298 108 9 318 109 10 0 111 11 1338 112 12 2909 114 13 196 115 14 79 116 15 2 117 16 54 118 17 44 119 18 91 120 19 0 128 20 916 129 21 864 130 22 48 134 23 1 135 24 1 136 25 14 138 26 52 139 27 3 140 28 9 141 29 11 142 30 6 143 31 17 144 32 1 145 33 0 146 34 11 147 35 0 148 36 0 162 37 37 165 38 0 167 39 4 201 40 0 213 41 325 214 42 5 220 43 2 233 44 45 234 45 0 237 46 9 249 47 2 257 48 19 265 49 0 266 50 3 267 51 0 310 52 3279 320 53 0 321 54 1278 322 55 345 323 56 891 324 57 20 325 58 13 326 59 0 327 60 6 331 61 0 332 62 163 334 63 0 350 64 30 352 65 2 353 66 0 354 67 6 355 68 0 356 69 1 358 70 2 359 71 1 360 72 0 361 73 0 363 74 1 364 75 0 365 76 0 368 77 0 369 78 14 511 79 8 512 80 3 513 81 0 514 82 0 515 83 0 516 84 1 517 85 0 518 86 0 519 87 0 999 88 0 Sysmiss 11 8.1.3 What was the quantity produced? (Kg) Season A 35844 0 162800 8.1.4 What was the quantity processed at farm level? 31954 3890 0 15000 8.1.5 What was the quantity sold? 35844 0 150000 8.1.6 On which market this crop was sold? 13297 22547 1 7 1 Farm-gate 3250 2 Local market 9003 3 District market 327 4 Regional market 10 5 Contract farming 459 6 Contract with exporter 5 7 other market 243 Sysmiss 22547 8.1.7 What was the selling price per kilogram? (RwF/Kg) 13297 22547 6 60000 8.1.8 What was the quantity used for own consumption? 35844 0 14000 8.1.9 What was the quantity used as wages? 35844 0 11050 8.1.10 What was the quantity used as farm rent? 35844 0 14500 8.1.11 What was the quantity used as gift? 35844 0 10000 8.1.12 What was the quantity exchanged for other goods? 35844 0 400 0 35543 1 4 1.5 5 1.54 1 2 17 3 25 3.08 5 3.11 1 4 13 5 35 6 11 6.16 3 6.5 1 7 7 7.5 2 7.71 1 8 7 9 5 10 44 11 1 12 3 13 2 13.5 1 15 16 15.41 1 18 1 20 22 21 1 21.1 1 22.5 2 24 1 25 3 30 23 35 2 39.5 1 40 1 45 1 50 8 60 2 70 2 100 8 120 2 130 1 140 1 150 1 200 3 300 1 350 1 400 1 8.1.13 What was the quantity used as seeds? 35844 0 13000 8.1.14 What was the quantity used to feed animals? 35844 0 12000 8.1.15 What was the quantity stored? 35844 0 4150 8.1.16 What was the quantity lost after harvest? 35844 0 2925 8.1.17 What was the quantity used in other forms? 35844 0 30000 8.1.18 Which is the storage facility used by the household? storage type 1 2657 33187 1 3 1 Traditional owned storage 2608 2 Public owned storage 38 3 Storage owned by cooperatives or private companies 11 Sysmiss 33187 8.1.19 Do you apply training skills on post-harvest-handling and storage? 31953 3891 1 2 1 Yes 1161 2 No 30792 Sysmiss 3891 8.1.20 Amount paid to labour for harvest and transport of the harvest of this cr 31953 3891 0 2520000 8.1.21 Amount paid on renting equipment used to harvest this crop during Season 31953 3891 0 170000 8.1.22 Amount paid on rehabilitation and maintenance of buildings and other equi 31952 3892 0 30000 0 31887 3 1 8 9 9 2 100 1 200 1 250 1 300 4 400 1 500 3 900 4 1000 5 1500 1 1600 1 2000 4 2500 2 3000 6 4200 1 5000 3 6000 1 6800 1 7500 1 9000 1 10000 1 12000 1 15000 3 20000 3 22900 1 25000 1 30000 1 Sysmiss 3892 8.1.23 Amount paid on rehabilitation and maintenance of buildings and other eq 31952 3892 0 19000 0 31894 3 1 8 4 9 2 100 1 200 2 250 2 300 5 400 4 500 4 600 6 800 1 900 1 1000 7 1200 2 1500 2 2000 4 2400 1 2500 2 5500 1 5700 1 6000 1 7600 2 10000 1 19000 1 Sysmiss 3892 8.1.24 Amount paid for insecticides to keep stored production against pests duri 31952 3892 0 100000 8.1.25 Other cost 31952 3892 0 120000 segment_weight 35844 12.2830236146464 361.012133274259 Household_ID 34167 11110200101 57423301901 0.1 Province 34167 1 5 1 Kigali 3045 2 South 7745 3 West 6061 4 North 4984 5 East 12332 0.2 District 34167 11 57 11 Nyarugenge 1129 12 Gasabo 1158 13 Kicukiro 758 21 Nyanza 716 22 Gisagara 1248 23 Nyaruguru 641 24 Huye 1217 25 Nyamagabe 1050 26 Ruhango 833 27 Muhanga 793 28 Kamonyi 1247 31 Karongi 598 32 Rutsiro 868 33 Rubavu 1088 34 Nyabihu 666 35 Ngororero 706 36 Rusizi 1322 37 Nyamasheke 813 41 Rulindo 882 42 Gakenke 872 43 Musanze 1125 44 Burera 860 45 Gicumbi 1245 51 Rwamagana 1251 52 Nyagatare 2553 53 Gatsibo 2094 54 Kayonza 1995 55 Kirehe 1824 56 Ngoma 1218 57 Bugesera 1397 0.3 Stratum 34167 11 42 11 19592 20 233 30 1441 41 1575 42 11326 0.4 Segment 34167 1 72 8.1.26 Crop name 34167 8.1.27 Crop code 1 34152 15 101 512 97 1 0 98 2 0 99 3 0 101 4 5073 102 5 400 103 6 3452 104 7 303 105 8 0 106 9 8010 107 10 4006 108 11 274 109 12 0 111 13 1367 112 14 2889 114 15 205 115 16 107 116 17 2 117 18 48 118 19 65 119 20 94 120 21 0 128 22 1117 129 23 1107 130 24 76 134 25 1 135 26 2 136 27 12 138 28 67 139 29 2 140 30 5 141 31 7 142 32 12 143 33 10 144 34 2 145 35 2 146 36 12 147 37 0 148 38 1 162 39 23 165 40 0 167 41 5 201 42 0 213 43 171 214 44 2 220 45 3 233 46 78 234 47 0 237 48 14 249 49 1 257 50 30 265 51 0 266 52 8 267 53 0 310 54 1945 320 55 0 321 56 1311 322 57 344 323 58 981 324 59 23 325 60 13 326 61 0 327 62 6 331 63 0 332 64 372 334 65 0 350 66 39 352 67 1 353 68 0 354 69 7 355 70 0 356 71 2 358 72 2 359 73 1 360 74 0 361 75 0 363 76 1 364 77 0 365 78 0 368 79 0 369 80 23 511 81 10 512 82 6 513 83 0 514 84 0 515 85 0 516 86 0 517 87 0 518 88 0 519 89 0 999 90 0 Sysmiss 15 8.1.28 What was the quantity produced? (Kg) Season A 34167 0 51100 8.1.29 What was the quantity processed at farm level? 32471 1696 0 12600 8.1.30 What was the quantity sold? 34167 0 38000 8.1.31 On which market this crop was sold? 12383 21784 1 7 1 Farm-gate 3237 2 Local market 8015 3 District market 275 4 Regional market 12 5 Contract farming 517 6 Contract with exporter 13 7 other market 314 Sysmiss 21784 8.1.32 What was the selling price per kilogram? (RwF/Kg) 12383 21784 0 27000 8.1.33 What was the quantity used for own consumption? 34167 0 20000 8.1.34 What was the quantity used as wages? 34167 0 1500 8.1.35 What was the quantity used as farm rent? 34167 0 2100 8.1.36 What was the quantity used as gift? 34167 0 1800 8.1.37 What was the quantity exchanged for other goods? 34167 0 1900 8.1.38 What was the quantity used as seeds? 34167 0 12000 8.1.39 What was the quantity used to feed animals? 34167 0 20000 8.1.40 What was the quantity stored? 34167 0 5500 8.1.41 What was the quantity lost after harvest? 34167 0 1200 8.1.42 What was the quantity used in other forms? 34167 0 25000 8.1.43 Which is the storage facility used by the household? storage type 1 5177 28990 1 3 1 Traditional owned storage 5131 2 Public owned storage 31 3 Storage owned by cooperatives or private companies 15 Sysmiss 28990 8.1.44 Do you apply training skills on post-harvest-handling and storage? 32416 1751 1 2 1 Yes 1031 2 No 31385 Sysmiss 1751 8.1.45 Amount paid to labour for harvest and transport of the harvest of this cr 32471 1696 0 700000 8.1.46 Amount paid on renting equipment used to harvest this crop during Season 32471 1696 0 3000000 8.1.47 Amount paid on rehabilitation and maintenance of buildings and other equi 32471 1696 0 30000 0 32422 8 6 9 2 250 1 300 1 400 2 500 2 600 2 900 1 1000 5 1500 7 2000 2 2100 2 2500 2 2700 1 3500 1 4000 1 5000 1 6000 1 7000 2 7500 1 7800 1 8000 2 12000 2 30000 1 Sysmiss 1696 8.1.48 Amount paid on rehabilitation and maintenance of buildings and other eq 32471 1696 0 10000 0 32440 8 1 9 1 100 1 200 2 250 1 300 2 400 2 500 1 900 2 1000 4 1200 2 1400 1 1800 1 1900 1 2100 1 3000 2 4000 1 4200 1 5000 1 5600 1 6000 1 10000 1 Sysmiss 1696 8.1.49 Amount paid for insecticides to keep stored production against pests duri 32471 1696 0 36000 8.1.50 Other cost 32471 1696 0 180000 segment_weight 34167 12.2830236146464 361.012133274259 Household_ID 32611 11110200101 57423301901 0.1 Province 28199 4412 1 5 1 Kigali 1432 2 South 11682 3 West 4290 4 North 3571 5 East 7224 Sysmiss 4412 0.2 District 28199 4412 11 57 11 Nyarugenge 508 12 Gasabo 561 13 Kicukiro 363 21 Nyanza 3062 22 Gisagara 806 23 Nyaruguru 470 24 Huye 814 25 Nyamagabe 826 26 Ruhango 3592 27 Muhanga 1337 28 Kamonyi 775 31 Karongi 414 32 Rutsiro 631 33 Rubavu 706 34 Nyabihu 514 35 Ngororero 594 36 Rusizi 792 37 Nyamasheke 639 41 Rulindo 615 42 Gakenke 759 43 Musanze 676 44 Burera 655 45 Gicumbi 866 51 Rwamagana 773 52 Nyagatare 1240 53 Gatsibo 1220 54 Kayonza 1050 55 Kirehe 1295 56 Ngoma 872 57 Bugesera 774 Sysmiss 4412 0.3 Stratum 28199 4412 11 42 11 Intensive cropland on hillsides 18242 20 Intensive cropland in marshlands 245 30 Rangelands 944 41 Urban area 832 42 Rural settlement 7936 Sysmiss 4412 0.4 Segment 28199 4412 1 72 9.1 Name of animal reared 28199 4412 1 16 1 Exotic Cattle 1239 2 Hybrid cattle 3805 3 Local cattle 2594 4 Exotic goats 561 6 Local goats 6157 7 Exotic sheep 623 8 Local sheep 1636 9 Exotic pig 798 10 Local pig 2772 11 Exotic hen 789 12 Local hen 3823 13 Duck 659 14 Turkey 545 15 Rabbits 1461 16 Other 737 99 NA 0 Sysmiss 4412 9.2 Did any memnber of your household rear this animal during 2016-2017 agricult 28199 4412 1 1 1 Yes 28199 2 No 0 Sysmiss 4412 9.3 What is the total number of animal reared? 28199 4412 0 4000 9.4.1 Adults 32611 0 30 0 31266 1 1135 2 143 3 33 4 15 5 5 6 3 7 1 8 1 9 1 11 1 12 1 14 1 15 1 18 1 21 1 25 1 30 1 9.4.2 Young 32611 0 90 0 27818 1 3653 2 738 3 200 4 89 5 38 6 30 7 11 8 4 9 2 10 7 11 3 12 5 13 3 14 1 15 2 16 1 18 1 19 1 20 1 26 1 35 1 90 1 9.5.1 Adults not lactating 32611 0 70 0 22892 1 6581 2 1995 3 612 4 236 5 107 6 47 7 27 8 25 9 11 10 16 11 5 12 10 13 3 14 2 15 5 16 2 17 2 18 2 19 2 20 6 21 3 22 1 23 1 24 1 25 2 27 2 28 3 29 1 30 1 31 1 32 1 35 2 39 1 42 1 51 1 70 1 9.5.2 Adults Lactating 32611 0 20 0 30403 1 1828 2 189 3 62 4 29 5 28 6 16 7 9 8 10 9 11 10 11 11 3 12 3 13 2 14 1 15 2 17 1 18 1 19 1 20 1 9.5.3 Young 32611 0 39 0 25313 1 5383 2 1225 3 343 4 137 5 70 6 42 7 22 8 20 9 9 10 13 11 4 12 6 13 1 14 4 15 4 16 3 17 1 18 1 19 3 20 2 22 1 23 1 25 1 29 1 39 1 9.6 How many born animals in last 12 months 20185 12426 0 223 0 13206 1 3810 2 1700 3 494 4 332 5 163 6 147 7 89 8 66 9 33 10 36 11 13 12 27 13 4 14 11 15 5 16 5 17 3 18 5 19 1 20 9 21 1 22 2 24 2 25 2 27 2 29 3 32 1 34 1 35 1 36 2 45 2 47 1 48 1 50 1 54 1 58 1 70 1 223 1 Sysmiss 12426 9.7 How many bought animals in last 12 months 20185 12426 0 20 0 16203 1 3124 2 615 3 128 4 53 5 27 6 12 7 7 8 3 9 3 10 3 12 1 14 1 15 1 16 1 19 1 20 2 Sysmiss 12426 9.8 Total Amount paid 4048 28563 0 4000000 9.9 Number received as gift in last 12 months 20185 12426 0 63 0 16545 1 3119 2 385 3 91 4 27 5 10 6 2 7 1 8 3 20 1 63 1 Sysmiss 12426 9.10 Number slaughtered for own consumption in last 12 months 20185 12426 0 12 0 19951 1 165 2 37 3 9 4 4 5 2 8 14 9 1 10 1 12 1 Sysmiss 12426 9.11 Number of animals sold in last 12 months 20185 12426 0 120 0 16012 1 2826 2 724 3 241 4 133 5 90 6 50 7 27 8 22 9 10 10 11 11 7 12 3 14 6 15 6 18 3 20 3 21 1 22 1 25 1 30 2 34 1 38 1 40 1 50 1 70 1 120 1 Sysmiss 12426 9.12 Total Amount received 4224 28387 0 6450000 9.13 Number of animals given away as gift in last 12 months 20185 12426 0 20 0 19013 1 899 2 161 3 50 4 24 5 13 6 4 7 4 8 11 9 1 12 2 14 1 15 1 20 1 Sysmiss 12426 9.14 Number of animals died for any reasons in last 12 months 20185 12426 0 40 0 18055 1 1441 2 331 3 145 4 64 5 41 6 25 7 19 8 24 9 8 10 13 11 2 12 4 14 1 15 5 16 2 18 1 20 3 40 1 Sysmiss 12426 9.15 Number of animals lost or stolen in last 12 months 20185 12426 0 12 0 19906 1 192 2 42 3 11 4 7 5 6 6 3 7 2 8 12 9 2 10 1 12 1 Sysmiss 12426 9.16 Number of animals vaccinated in last 12 months 28199 4412 0 4000 9.17 Number of animals treated for sickness in last 12 months 28199 4412 0 30000 9.18.1 Number of animals own consumed per week 8014 24597 0 10 0 6803 1 1029 2 116 3 39 4 10 5 10 6 1 7 3 9 1 10 2 Sysmiss 24597 9.18.2 Number of weeks animals were consumed 1211 31400 1 52 1 481 2 239 3 187 4 64 5 66 6 34 7 10 8 13 9 5 10 29 11 3 12 37 13 1 15 1 16 3 18 1 20 7 21 1 24 9 26 1 27 1 28 1 30 6 32 1 40 3 44 1 48 2 52 4 Sysmiss 31400 9.19 Number of animals sold per week 8013 24598 0 930 0 6614 1 576 2 312 3 174 4 100 5 91 6 37 7 10 8 14 9 7 10 23 12 6 14 3 15 7 16 1 17 2 19 1 20 10 21 1 22 1 23 2 25 1 27 1 28 1 29 1 30 2 34 1 35 1 40 1 50 1 53 1 55 1 70 1 117 1 120 1 140 1 270 1 290 1 500 2 930 1 Sysmiss 24598 9.20 Sale price per animal 1399 31212 100 48000 9.21 Number of animals lost per week 8013 24598 0 80 0 6347 1 517 2 323 3 217 4 116 5 127 6 73 7 70 8 33 9 22 10 40 11 11 12 17 13 13 14 6 15 15 16 6 17 2 18 4 19 2 20 14 22 4 24 3 25 2 26 3 27 2 28 1 30 9 31 1 32 2 34 1 40 1 41 2 44 1 50 1 51 1 60 2 65 1 80 1 Sysmiss 24598 9.22 Number of animals used in other ways not mentioned 8013 24598 0 400 0 7722 1 88 2 48 3 35 4 21 5 20 6 9 7 8 8 13 9 5 10 7 11 4 12 7 13 3 14 4 15 4 17 1 20 4 21 1 22 1 24 1 25 1 30 2 41 1 50 1 80 1 400 1 Sysmiss 24598 9.23 Number eggs produced per week 5816 26795 0 22400 9.24 Number eggs consumed per week 5816 26795 0 100 0 3561 1 193 2 478 3 406 4 339 5 266 6 118 7 130 8 57 9 16 10 100 11 5 12 28 13 3 14 23 15 27 16 1 17 3 18 12 20 16 21 6 23 1 24 2 25 4 28 2 30 7 32 3 35 2 40 1 42 1 49 1 50 1 70 1 98 1 100 1 Sysmiss 26795 9.25 Number eggs sold per week 5816 26795 0 21952 9.26 Unit price per egg sold 1376 31235 0 150 0 122 30 1 40 1 50 20 60 37 65 4 68 1 69 1 70 308 75 16 77 1 80 534 85 8 90 64 95 2 100 222 110 4 120 12 150 18 Sysmiss 31235 9.27 Number eggs damaged per week 5816 26795 0 448 0 5095 1 312 2 199 3 72 4 53 5 30 6 12 7 7 8 6 9 1 10 11 11 2 12 2 13 2 14 1 16 1 20 4 30 1 50 1 60 1 70 2 448 1 Sysmiss 26795 9.28 Number eggs in other ways per week 5816 26795 0 267 0 4770 1 96 2 183 3 157 4 151 5 120 6 76 7 77 8 39 9 21 10 36 11 12 12 16 13 6 14 11 15 8 16 2 18 5 19 1 20 11 21 1 22 1 23 1 25 3 26 1 28 1 30 4 31 1 40 1 49 1 70 1 95 1 267 1 Sysmiss 26795 segment_weight 28199 4412 12.2830236146464 361.012133274259 Household_ID 3237 11110200901 57423301301 0.1 Province 3237 1 5 1 Kigali 226 2 South 602 3 West 830 4 North 342 5 East 1237 0.2 District 3237 11 57 11 Nyarugenge 75 12 Gasabo 98 13 Kicukiro 53 21 Nyanza 87 22 Gisagara 46 23 Nyaruguru 49 24 Huye 91 25 Nyamagabe 79 26 Ruhango 74 27 Muhanga 72 28 Kamonyi 104 31 Karongi 49 32 Rutsiro 268 33 Rubavu 112 34 Nyabihu 199 35 Ngororero 111 36 Rusizi 35 37 Nyamasheke 56 41 Rulindo 40 42 Gakenke 42 43 Musanze 54 44 Burera 49 45 Gicumbi 157 51 Rwamagana 104 52 Nyagatare 313 53 Gatsibo 298 54 Kayonza 185 55 Kirehe 130 56 Ngoma 77 57 Bugesera 130 0.3 Stratum 3237 11 42 11 Intensive cropland on hillsides 1378 20 Intensive cropland in marshlands 41 30 Rangelands 792 41 Urban area 141 42 Rural settlement 885 0.4 Segment 3237 1 72 10.1.1 Lactating cow number 3237 1 20 1 2071 2 381 3 184 4 130 5 108 6 79 7 62 8 58 9 45 10 33 11 21 12 15 13 13 14 10 15 8 16 5 17 5 18 4 19 3 20 2 10.1.2 Lactating cow race 3237 1 3 1 Exotic 607 2 Hybrid 1893 3 Local 737 10.1.3.1 Lactating time length at high lactation period(in days) 3237 0 365 10.1.3.2 Lactating time length at high low period(in days) 3237 0 360 10.1.3.3 Lactating time length, whole lactation period(in days) 3237 1 570 10.1.4.1 Dail milk production at high lactating period (in liters) 3237 0 30 10.1.4.2 Dail milk production at low lactating period (in liters) 3237 0 61 10.1.5 Months and year of calving 3237 1 20 1 166 2 234 3 270 4 352 5 376 6 380 7 378 8 414 9 234 10 166 11 105 12 95 13 48 14 6 15 4 16 2 17 3 18 2 19 1 20 1 10.1.6 Has your cattle has any problem that caused low milk yield during 3237 1 2 1 Yes 2643 2 No 594 10.1.7 What are major problems among the following that caused low milk 2649 588 1 3 1 Lack of fodder 2206 2 Health problems 300 3 Other 143 Sysmiss 588 segment_weight 3237 12.2830236146464 361.012133274259 Household_ID 3989 11110200901 57423301301 0.2 District Name 3989 11 57 11 Nyarugenge 68 12 Gasabo 138 13 Kicukiro 64 21 Nyanza 144 22 Gisagara 75 23 Nyaruguru 83 24 Huye 176 25 Nyamagabe 138 26 Ruhango 120 27 Muhanga 82 28 Kamonyi 165 31 Karongi 99 32 Rutsiro 180 33 Rubavu 152 34 Nyabihu 188 35 Ngororero 66 36 Rusizi 93 37 Nyamasheke 98 41 Rulindo 72 42 Gakenke 76 43 Musanze 124 44 Burera 94 45 Gicumbi 285 51 Rwamagana 158 52 Nyagatare 235 53 Gatsibo 240 54 Kayonza 158 55 Kirehe 131 56 Ngoma 131 57 Bugesera 156 0.3 Stratum 3989 11 42 11 Intensive cropland on hillsides 2333 20 Intensive cropland in marshlands 25 30 Rangelands 297 41 Urban area 139 42 Rural settlement 1195 0.4 Segment 3989 1 72 10.2.1 Lactation period 3989 1 2 1 During High lactation period 1987 2 During Low lactation period 2002 10.2.2 Average daily quantity consumed 3989 0 31 10.2.3 Average daily quantity given to others 3989 0 15 10.2.4 Average daily quantity processed in farm/at home 3989 0 40 0 3862 0.08 1 0.09 1 0.1 2 0.12 1 0.16 1 0.2 2 0.21 1 0.25 2 0.33 1 0.47 1 0.5 13 0.58 1 0.7 1 0.75 1 0.77 1 0.93 1 1 27 1.17 1 1.5 5 2 19 2.5 3 3 12 4 4 4.5 1 5 6 6 1 6.5 1 7 5 8 3 9.5 1 10 3 15 3 40 1 10.2.5 Average daily quantity used in other way 3989 0 150 0 3907 0.5 8 0.68 1 1 22 1.14 1 1.5 4 2 16 2.5 2 3 7 3.5 1 4 3 5 4 6 3 8 3 9 1 10 3 15 1 47 1 150 1 10.2.6 Average daily quantity sold to milk collection site 3989 0 456 10.2.7 Price(Rwf) 3989 0 500 0 3484 100 24 120 24 130 9 140 41 150 74 159 1 160 50 165 4 166 1 169 5 170 61 175 1 180 48 185 1 190 12 200 107 220 1 230 2 250 32 270 1 300 4 500 2 10.2.8 Average daily quantity sold to others 3989 0 810 10.2.9 Price(Rwf) 3989 0 400 0 2608 100 146 110 3 120 68 125 3 130 18 140 31 150 178 160 58 165 2 166 3 167 1 170 43 175 2 180 76 190 3 200 517 220 8 230 1 250 122 275 2 300 85 350 3 400 8 10.2.10 Average daily quantity of milk lost 3989 0 180 0 3946 1 13 2 4 3 6 4 2 5 2 6 2 7 3 10 4 13 1 20 1 50 2 54 1 112 1 180 1 segment_weight 3989 12.2830236146464 361.012133274259 Household_ID 16067 11110200101 57423301901 0.2 District 16067 11 57 11 Nyarugenge 531 12 Gasabo 615 13 Kicukiro 375 21 Nyanza 291 22 Gisagara 525 23 Nyaruguru 241 24 Huye 524 25 Nyamagabe 408 26 Ruhango 325 27 Muhanga 327 28 Kamonyi 524 31 Karongi 236 32 Rutsiro 415 33 Rubavu 769 34 Nyabihu 476 35 Ngororero 309 36 Rusizi 677 37 Nyamasheke 400 41 Rulindo 406 42 Gakenke 352 43 Musanze 673 44 Burera 485 45 Gicumbi 532 51 Rwamagana 592 52 Nyagatare 1180 53 Gatsibo 915 54 Kayonza 887 55 Kirehe 934 56 Ngoma 547 57 Bugesera 596 0.3 Stratum 16067 11 42 11 Intensive cropland on hillsides 8522 20 Intensive cropland in marshlands 103 30 Rangelands 693 41 Urban area 1086 42 Rural settlement 5663 0.4 Segment 16067 1 72 10.3.1 Type of bee hive 215 15852 1 2 1 Traditional hives 200 2 Modern hives 15 3 NA 0 Sysmiss 15852 10.3.2 Number of bee hives hung during 12 months 214 15853 1 194 1 42 2 35 3 27 4 20 5 22 6 14 7 6 8 6 9 3 10 12 11 2 12 4 13 1 14 2 15 4 17 1 20 3 22 2 25 1 30 2 35 1 40 2 50 1 194 1 Sysmiss 15853 10.3.3 Quantity of honey Production during 12 months (Kg) 214 15853 0 161 0 77 0.25 1 0.5 2 0.620000004768372 1 1 9 1.5 8 2 11 2.5 5 3 12 3.5 1 4 8 5 11 6 3 7 4 8 7 9 2 10 6 12 3 13 2 14 1 15 5 16 1 17 3 19 1 20 4 21 1 24 1 25 4 30 5 37 1 40 3 45 1 50 2 55 1 60 1 64 1 78 1 85 1 130 1 160 1 161 1 Sysmiss 15853 10.3.4 Quantity of produced honey that has been consumed at home during 12 month 214 15853 0 15 0 91 0.119999997317791 1 0.25 4 0.5 8 1 26 1.5 6 2 21 3 20 4 6 5 9 6 3 7 4 8 3 10 7 12 1 12.5 1 15 3 Sysmiss 15853 10.3.5 Sale In last 12 months-Qty 214 15853 0 150 0 118 0.5 2 1 8 1.5 2 2 9 2.75 1 3 13 3.75 1 4 4 5 4 6 3 7 4 8 2 9 3 10 3 11 1 12 5 14 1 15 5 17 2 19 1 20 3 26 1 27 1 29 2 30 2 35 1 37 1 38 1 44 1 45 2 48 1 54 1 60 1 78 1 128 1 148.5 1 150 1 Sysmiss 15853 10.3.6 Sale In last 12 months-Sale price 95 15972 1000 4500 1000 4 1100 1 1300 1 1400 1 1500 10 1600 2 1650 1 1700 2 1800 1 2000 16 2200 2 2300 2 2500 17 3000 24 3500 5 4000 5 4500 1 Sysmiss 15972 10.3.7 Honey stored at the end of August v2017 214 15853 0 14.75 0 198 0.5 1 1 6 2 1 3 3 5 1 6 1 10 1 12 1 14.75 1 Sysmiss 15853 segment_weight 16067 12.2830236146464 361.012133274259 Household_ID 26500 11110200101 57423301901 0.1 Province Name 26500 1 5 1 Kigali 2272 2 South 5400 3 West 5490 4 North 4195 5 East 9143 0.2 District Name 26500 11 57 11 Nyarugenge 789 12 Gasabo 925 13 Kicukiro 558 21 Nyanza 492 22 Gisagara 888 23 Nyaruguru 443 24 Huye 787 25 Nyamagabe 737 26 Ruhango 562 27 Muhanga 589 28 Kamonyi 902 31 Karongi 422 32 Rutsiro 734 33 Rubavu 1204 34 Nyabihu 770 35 Ngororero 555 36 Rusizi 1091 37 Nyamasheke 714 41 Rulindo 701 42 Gakenke 653 43 Musanze 1089 44 Burera 803 45 Gicumbi 949 51 Rwamagana 1002 52 Nyagatare 1826 53 Gatsibo 1539 54 Kayonza 1419 55 Kirehe 1482 56 Ngoma 929 57 Bugesera 946 0.3 Stratum 26500 11 42 11 Intensive cropland on hillsides 14650 20 Intensive cropland in marshlands 181 30 Rangelands 1155 40 Household/ Village stratum 0 41 41 Strate Village 1559 42 42 Strate Village 8955 50 Large scale farmer 0 0.4 Segment 26500 1 72 11.1 Animal category 22129 4371 1 9 1 For Cows 5928 2 For All other animals 8600 9 NA 7601 Sysmiss 4371 11.2 Amount spent on rent for land grazing 14515 11985 0 1200000 11.3 Amount spent on purchasing fodder crop 14515 11985 0 3000000 11.4 Amount spent on purchasing feed 14515 11985 0 63539200 11.5 Amount spent on purchasing salt and minerals 14515 11985 0 588000 11.6 Amount spent on purchasing artificial insemination 14515 11985 0 120000 0 13802 1 1 8 4 200 1 300 8 400 5 500 118 600 5 700 1 1000 61 1400 2 1500 22 2000 39 2400 1 2500 4 2600 1 2800 1 3000 140 3500 4 3600 2 4000 26 4500 6 5000 124 5500 2 6000 27 7000 5 8000 11 9000 14 9800 1 10000 28 10500 1 11000 1 12000 5 13000 3 15000 16 17000 1 20000 8 24000 1 25000 1 30000 2 34000 1 36000 2 45000 2 48000 1 90000 1 100000 2 120000 1 Sysmiss 11985 11.7 Amount spent on purchasing vaccines,dips,sprays and medecine 14515 11985 0 474000 11.8 Amount spent on purchasing veterinary services 14515 11985 0 800000 11.9 Amount spent on purchasing repairs of fencing, sheds 14515 11985 0 1000000 11.10 Amount spent on purchasing new fences, sheds 14515 11985 0 1700000 11.11 Amount spent on purchasing Pesticides used to protect animal from insects, 14515 11985 0 500000 11.12 Amount spent on farm maintenance activities 14515 11985 0 500000 11.13 Amount spent on purchasing payment of Shepherds 14515 11985 0 2520000 11.14 purchasing Other expenditures 14511 11989 0 600000 segment_weight 26500 12.2830236146464 361.012133274259