DDI_UGA_2018_AAS_v01_EN_M_v01_A_OCS_FAO Uganda Bureau of Statistics Food and Agriculture Organization Office of Chief Statistician Nesstar Publisher UGA_2018_AAS_v01_EN_M_v01_A_OCS_v01 Annual Agricultural Survey, 2018 (Second Season). AAS 2018 UGA_2018_AAS_v01_EN_M_v01_A_OCS Uganda Bureau of Statistics (UBOS) Food and Agriculture Organization (c) 2020, Uganda Bureau of Statistics Nesstar Publisher United States Agency for International Development Uganda Bureau of Statistics Agriculture Integrated Survey[AGRISurvey] Due to a change in the survey questionnaire in between the first and second seasons of 2018, data collected during the two seasons are not perfectly comparable and have been treated separately. This DDI only refers to microdata collected during the second season of 2018. Microdata from the first season of the 2018 survey round will not be released Agricultural production Crop Yield Livestock AGRISurvey Agricultural practices Agricultural households Agricultural Production Economy Labour Uganda Regional Coverage Households Agricultural households (i.e. agricultural holdings in the household sector) Sample survey data [ssd] Computer Assisted Personal Interview [capi] Sampling weights are included in each microdata files. All data cleaning and editing operations were performed using the statistical software Stata. The anonymization process has been carried out with the aid of the statistical software R and the package sdcMicro with functions for risk measurement and the application of SDC methods. The response rate was about the 86% during the post-planting visit, and the 83% during the post-harvesting visit. Uganda Bureau of Statistics. Annual Agricultura Survey (AAS) 2018-Second Season, Version 1.2 of the scientific use file, provided by the Uganda National Data Archive. www.ubos.org The AAS 2018 Second Season microdata are disseminated as Scientific Use File (SUF) to accredited users. 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. PP_PH_Household_level_file.NSDstat This file contains variables collected at the household level with various sections of the Post-Planting (Form 4) and Post-Harvesting (Form 5_2) Questionnaires of the AAS 2018. It also contains the sampling weight coefficients. 6098 168 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_4.3_Household_Enterprises.NSDstat This file contains information on agricultural enterprises (crop and livestock production) undertaken by agricultural households. Microdata have been collected through section 4.3 of Form 4 (Post-Planting questionnaire). The file also contains the sampling weight coefficients. 10447 8 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Parcel_Roster.NSDstat This files contains microdata at the parcel level collected with Form 4 (Post-Planting questionnaire) and Form 52 (Post-Harvesting questionnaire). It also contains the sampling weight coefficients. 13977 43 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Plot_Roster.NSDstat This files contains microdata at the plot level collected with Form 4 (Post-Planting questionnaire) and Form 52 (Post-Harvesting questionnaire). It also contains the sampling weight coefficients. 31858 43 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Crop_Roster.NSDstat This files contains microdata at the crop level collected with Form 4 (Post-Planting questionnaire) and Form 52 (Post-Harvesting questionnaire). It also contains the sampling weight coefficients. 38087 52 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.2_Household_Members.NSDstat This file contains information collected at the household members level. Microdata were collected through Section 5.2 of FORM 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 36367 16 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.3_Disposition_State1.NSDstat This file contains information on the disposition/utilization of crop production harvested under the main harvesting condition. Microdata in this file was collected with Section 5.3 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 34520 12 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.3_Disposition_State2.NSDstat This file contains information on the disposition/utilization of crop production harvested under the second main harvesting condition. Microdata in this file was collected with Section 5.3 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 4308 12 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.4_Ag_Practices_OrgFert.NSDstat This file contains information on organic fertilizers used for crop production, applied at plot level. Microdata in this file was collected with Section 5.4 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 2058 13 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.4_Ag_Practices_InorgFert.NSDstat This file contains information on inorganic fertilizers used for crop production, applied at plot level. Microdata in this file was collected with Section 5.4 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 800 19 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.4_Ag_Practices_Chemicals.NSDstat This file contains information on pesticides used for crop production, applied at plot level. Microdata in this file was collected with Section 5.4 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 2135 18 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.5_Prod_Activities.NSDstat This file contains information on agricultural households production activities and their costs. Microdata in this file was collected with Section 5.5 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 6167 8 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.7_Animals_raised.NSDstat 12508 37 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.8_Animal_Input.NSDstat 8400 59 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9_Meat.NSDstat 1366 16 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9_Milk.NSDstat 4224 23 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9.6_Eggs.NSDstat 3240 9 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9.7_Products_other.NSDstat 1326 19 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.10_Agric_Information.NSDstat This file contains information on sources of agricultural information used by agricultural households. Microdata in this file was collected with Section 5.10 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 21938 8 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.11_Facility.NSDstat This file contains information on the access to services and facilities relevant to agriculture. Microdata in this file was collected with Section 5.11 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 20713 7 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.12_Transportation_Means.NSDstat This file contains information on means of transportation used by the agricultural household. Microdata in this file was collected with Section 5.12 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 9654 7 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.14_Credit_Access.NSDstat This file contains information on sources and amount of loans received by agricultural households. Microdata in this file was collected with Section 5.14 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 636 14 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.15_Fixed_Costs.NSDstat This file contains information on cost of agricultural production by source. Microdata in this file was collected with Section 5.15 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 2055 7 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.16_Shocks_&_FoodSecurity.NSDstat This file contains information on shocks experienced by agricultural households. Microdata in this file was collected with Section 5.16 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 6734 8 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.17_Extension_Services.NSDstat This file contains information on extension services received by agricultural households. Microdata in this file was collected with Section 5.17 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. 967 47 Nesstar 200801 Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file Household unique identifier 6098 0 Household unique identifiers and roster key Zardi 6098 0 Zardi name 1 Abi 488 2 Buginyanya 1239 3 Bulindi 467 4 Kachwekano 424 5 Mukono 821 6 Ngetta 760 7 Nubin 284 8 Serere 388 9 Mbarara 725 10 Rwebitaba 502 Sub-region 6098 0 Subregion name 1 South Buganda 479 2 North Buganda 484 3 Busoga 449 4 Bukedi 420 5 Elgon 370 6 Teso 388 7 Karamoja 284 8 Lango 404 9 Acholi 356 10 West Nile 488 11 Bunyoro 467 12 Tooro 502 13 Ankole 583 14 Kigezi 424 Region 6098 0 Region name 1 Central Region 963 2 Eastern Region 1627 3 Northern Region 1532 4 Western Region 1976 Household size 6098 0 Household size: number of household members 1 1 239 2 2 262 3 3 465 4 4 688 5 5 936 6 6 871 7 7 798 8 8 602 9 9 484 10 10 306 11 11 184 12 12 108 13 13 155 Interview date - Post Planting Visit - Second season 6097 0 2018 - 10 2127 2018 - 11 2416 2018 - 12 1554 Interview date - Post Harvesting Visit - Second season 5783 0 2019 - 2 1270 2019 - 3 1420 2019 - 4 206 2019 - 5 2883 2019 - 6 4 Main reason hh didn't apply any inorganic fertilizers on the holding During the last completed season, what are the main reasons you didn't apply any INORGANIC fertilizers on the holding? 5327 771 0 Reason not specified 0 1 No need:soil is fertile enough 1254 2 Fertilizer is of poor quality, counterfeit, bad past experiences 14 3 Land rented in: no motivation to apply 81 4 Lack of knowledge on use or benefits of fertilizer 519 5 Fertilizer use is costly: farmer can't afford 2692 6 Fertilizer not locally available 408 7 Fertilizer use will not improve crop yield 26 8 Fertilizers burn crops when rains are low 16 9 Fertilizers increase the amount of weeds in the garden 4 10 Fertilizers have negative effects on soil quality and environment 204 11 Fertilizer application impractical e.g. wetland, too steep 1 99 Other 108 Sysmiss 771 Second main reason hh didn't apply any inorganic fertilizers on the holding During the last completed season, what are the main reasons you didn't apply any INORGANIC fertilizers on the holding? 3207 2891 0 Reason not specified 661 1 No need:soil is fertile enough 127 2 Fertilizer is of poor quality, counterfeit, bad past experiences 16 3 Land rented in: no motivation to apply 59 4 Lack of knowledge on use or benefits of fertilizer 459 5 Fertilizer use is costly: farmer can't afford 947 6 Fertilizer not locally available 697 7 Fertilizer use will not improve crop yield 35 8 Fertilizers burn crops when rains are low 37 9 Fertilizers increase the amount of weeds in the garden 7 10 Fertilizers have negative effects on soil quality and environment 144 11 Fertilizer application impractical e.g. wetland, too steep 4 99 Other 14 Sysmiss 2891 Third main reason hh didn't apply any inorganic fertilizers on the holding During the last completed season, what are the main reasons you didn't apply any INORGANIC fertilizers on the holding? 2078 4020 0 Reason not specified 951 1 No need:soil is fertile enough 98 2 Fertilizer is of poor quality, counterfeit, bad past experiences 61 3 Land rented in: no motivation to apply 53 4 Lack of knowledge on use or benefits of fertilizer 220 5 Fertilizer use is costly: farmer can't afford 189 6 Fertilizer not locally available 345 7 Fertilizer use will not improve crop yield 17 8 Fertilizers burn crops when rains are low 19 9 Fertilizers increase the amount of weeds in the garden 11 10 Fertilizers have negative effects on soil quality and environment 108 11 Fertilizer application impractical e.g. wetland, too steep 1 99 Other 5 Sysmiss 4020 HH members participated in land preparation activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 1045 1 Yes 4740 Sysmiss 313 HH members participated in planting activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 914 1 Yes 4871 Sysmiss 313 HH members participated in weeding activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 799 1 Yes 4986 Sysmiss 313 HH members participated in mulching activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 5011 1 Yes 774 Sysmiss 313 HH members participated in fertilizing/manure application activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 4616 1 Yes 1169 Sysmiss 313 HH members participated in spraying activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 4844 1 Yes 941 Sysmiss 313 HH members participated in irrigation/watering activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 5661 1 Yes 124 Sysmiss 313 HH members participated in pruning activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 4318 1 Yes 1467 Sysmiss 313 HH members participated in guarding of the garden During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 5003 1 Yes 782 Sysmiss 313 HH members participated in harvesting/threshing activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 928 1 Yes 4857 Sysmiss 313 HH members participated in transporting produce from farm to home/store During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 1197 1 Yes 4588 Sysmiss 313 HH members participated in transporting produce from farm/home/ store to market During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 3783 1 Yes 2002 Sysmiss 313 HH members participated in drying, packing, and storage activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 2091 1 Yes 3694 Sysmiss 313 HH members participated in other cropping activities During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 5785 313 0 No 5784 1 Yes 1 Sysmiss 313 Any hh member was paid as compensation for his/her work During the last agricultural season did you hire any workers for any of the following activities? 5785 313 0 No 5681 1 Yes 104 Sysmiss 313 Total amount paid to hh members during the last ag. season (SHS) 104 5994 2000 1320000 273105.769 353258.635 Number of male household members working on the holding during last season How many male household members (adults and children) worked on the holding during the last completed season (between August 2018 and Febuary 2019)? 4797 1301 0 8 1.553 1.155 Total number of days worked by male household members during last season What is, on average, the number of days worked by the male household members during the last completed season (between August 2018 and Febuary 2019)? 4237 1861 1 720 74.042 56.685 Length in hours of a typical working day for male household members What is the length in hours of a typical working day of the male household members during the last completed season (between August 2018 and Febuary 2019? 4237 1861 1 12 4.745 1.513 Number of female household members working on the holding during last season How many female household members (adults and children) worked on the holding during the last completed season (between August 2018 and Febuary 2019)? 5179 919 0 7 1.675 1.039 Total number of days worked by female household members during last season What is, on average, the number of days worked by the female household members during the last completed season (between August 2018 and Febuary 2019)? 5023 1075 1 630 85.138 56.063 Length in hours of a typical working day for female household members What is the length in hours of a typical working day for female household members during the last completed season? 5023 1075 1 12 4.788 1.591 Number of unpaid external workers working on the holding during last season 5764 334 0 18 0.679 1.615 Total number of days worked by unpaid external workers during last season 1386 4712 1 360 14.698 27.148 Length in hours of a typical working day for unpaid external workers 1386 4712 1 12 5.137 1.63 Number of male external workers working on the holding during last season How many male hired workers (adults and children) worked on the holding during the last completed season ((between August 2018 and Febuary 2019))? 2490 3608 0 61 3.909 4.904 Total number of days worked by male external workers during last season What was the average number of days worked by the male hired workers during the last completed season (between August 2018 and Febuary 2019)? 2082 4016 1 800 15.02 33.001 Length in hours of a typical working day for male external workers What is the length in hours of a typical working day of the male hired workers during the last completed season (between August 2018 and Febuary 2019)? 2082 4016 1 12 5.346 1.669 Number of female external workers working on the holding during last season 2490 3608 0 87 3.893 6.03 Total number of days worked by female external workers during last season What was the average number of days worked by the female hired workers during the last completed season (between August 2018 and Febuary 2019)? 1650 4448 1 1080 13.922 43.157 Length in hours of a typical working day for female external workers What is the length in hours of a typical working day of the female hired workers during the last completed season (between August 2018 and Febuary 2019)? 1650 4448 1 12 5.448 1.548 Average daily wage of male external workers in village What was the average daily wage in SHS for a man doing agricultural work in this village? 2490 3608 1000 15000 5004.096 1730.983 Average daily wage of female external workers in village What was the average daily wage in SHS for a woman doing agricultural work in this village? 2490 3608 300 15000 4673.213 1469.686 Household raised, kept or owned any livestock in the last 12 months Have you or any members of your household raised, kept or owned any livestock in the last 12 months? 5774 324 0 No 1249 1 Yes 4525 Sysmiss 324 If antibiotics are often given to animals, the antibiotic will become less effec Before we move on, let us revisit antibiotic use in animals briefly. How much do agree with the following statement: If antibiotics are often given to animals, the antibiotic will become less effective in curing sick animals 1517 4581 1 Fully agree 219 2 Agree 342 3 Disagree 466 4 Completely disagree 182 98 Don't know 308 Sysmiss 4581 Number of eggs sold over the last three months How many eggs in total did you sell in the last three months? Units 207 5891 1 702000 3720.575 48800.242 Number of trays of eggs sold over the last three months How many eggs in total did you sell in the last three months? Trays 207 5891 0.0333 23400 124.019 1626.675 Where were most of the eggs sold in the last three months Where were most of the eggs sold in the last three months 207 5891 1 Wholesale sale at the market 22 2 Retail sale at the market 49 3 Wholesale sales at the farm or home 50 4 Retail sales at the farm or home 70 5 Direct delivery to the consumer 15 6 Production contract 1 99 Other (Specify) 0 Sysmiss 5891 To whom did the hh mainly sell the eggs in the last three months To whom did the household mainly sell the eggs in the last three months? 207 5891 1 Government 0 2 Local organization/Institution 1 3 Private trader 96 4 Consumer 73 5 Neighbour 36 6 Relative 1 7 Cooperative Union 0 99 Other (specify) 0 Sysmiss 5891 Total earning from eggs sold during the last three months (SHS) How much has the household earned by selling eggs in the last three months (in SHS)? 207 5891 400 58140000 686252.174 4960795.582 Member of hh controlling the revenue earned from selling eggs: first id Who in the household controls the revenue earned from selling eggs? 207 5891 1 155 2 43 3 4 8 2 9 1 10 1 12 1 Sysmiss 5891 Member of hh controlling the revenue earned from selling eggs: second id Who in the household controls the revenue earned from selling eggs? 95 6003 1 1 2 84 3 1 4 2 5 2 6 1 7 2 8 1 9 1 Sysmiss 6003 The holding has access to any storage facilities Does the holding have access to any storage facilities? 5785 313 0 No 1351 1 Yes 4434 Sysmiss 313 Household used improved granary as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4347 1 Yes 84 Sysmiss 1667 Household used unimproved granary as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4033 1 Yes 398 Sysmiss 1667 Household used store house / Barn as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 3811 1 Yes 620 Sysmiss 1667 Household used specific House/room as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 827 1 Yes 3604 Sysmiss 1667 Household used under shelter outside as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4248 1 Yes 183 Sysmiss 1667 Household used cribs as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4425 1 Yes 6 Sysmiss 1667 Household used silos as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4426 1 Yes 5 Sysmiss 1667 Household used cold Storage as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4430 1 Yes 1 Sysmiss 1667 Household used underground storage as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4423 1 Yes 8 Sysmiss 1667 Household used over fire place as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4361 1 Yes 70 Sysmiss 1667 Household used community storage facility as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4414 1 Yes 17 Sysmiss 1667 Household used sealed containers as storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4210 1 Yes 221 Sysmiss 1667 Household used other storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 4431 1667 0 No 4431 1 Yes 0 Sysmiss 1667 Any member of the hh received an ag-related loan service during the last calenda Has any member of the household received an agricultural-related loan service between January 2018 and December 2018? 6098 0 0 No 5440 1 Yes 658 HH needed to provide collateral security for these loans Did the household need to provide collateral security for these loans? 658 5440 0 No 394 1 Yes 264 Sysmiss 5440 Household used land title as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 222 1 Yes 42 Sysmiss 5834 Household used crop production as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 229 1 Yes 35 Sysmiss 5834 Household used livestock as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 227 1 Yes 37 Sysmiss 5834 Household used a guarantor as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 217 1 Yes 47 Sysmiss 5834 Household used salary as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 262 1 Yes 2 Sysmiss 5834 Household used deposit/savings with the bank as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 240 1 Yes 24 Sysmiss 5834 Household used household's items as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 245 1 Yes 19 Sysmiss 5834 Household used a sales agreement as collateral What type of collateral security was provided? (tick all that apply) 264 5834 0 No 198 1 Yes 66 Sysmiss 5834 Household used other collaterals What type of collateral security was provided? (tick all that apply) 264 5834 0 No 243 1 Yes 21 Sysmiss 5834 Reason for not receiving any loan: No need Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 3695 1 Yes 1421 Sysmiss 982 Reason for not receiving any loan: Unavailability of lending facilities Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4484 1 Yes 632 Sysmiss 982 Reason for not receiving any loan: Lack of collaterals Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4055 1 Yes 1061 Sysmiss 982 Reason for not receiving any loan: Interest charged too high Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4418 1 Yes 698 Sysmiss 982 Reason for not receiving any loan: Not profitable Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4743 1 Yes 373 Sysmiss 982 Reason for not receiving any loan: Ignorance/lack of awareness Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4406 1 Yes 710 Sysmiss 982 Reason for not receiving any loan: Negative past experience Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 4872 1 Yes 244 Sysmiss 982 Reason for not receiving any loan: Fear toward credit Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 2614 1 Yes 2502 Sysmiss 982 Reason for not receiving any loan: Other reasons Why didn't any member of the household receive any agricultural loan or credit for agricultural purposes between January 2018 and December 2018? (Please select the main two reasons) 5116 982 0 No 5082 1 Yes 34 Sysmiss 982 Household received cash transfers Between January 2018 and December 2018, did the household receive and cash or in-kind transfer for agricultural activities from relatives, friends or others? 5768 330 0 No 5630 1 Yes 138 Sysmiss 330 Household received in-kind transfers Between January 2018 and December 2018, did the household receive and cash or in-kind transfer for agricultural activities from relatives, friends or others? 5759 339 0 No 5557 1 Yes 202 Sysmiss 339 Source of transfers:Friends or relatives, living in the country Who provided the transfers? 326 5772 0 No 54 1 Yes 272 Sysmiss 5772 Source of transfers:Friends or relatives, living outside the country Who provided the transfers? 326 5772 0 No 319 1 Yes 7 Sysmiss 5772 Source of transfers:Others (e.g. employer, religious groups, self-help clubs, et Who provided the transfers? 326 5772 0 No 278 1 Yes 48 Sysmiss 5772 Value of cash transfer (SHS) What was the total value in SHS of the cash transfers received for agricultural purposes between January 2018 and December 2018? 138 5960 5000 2000000 158035.145 251615.565 Value of in-kind transfer (SHS) What was the estimated total value in SHS of the in-kind transfers received for agricultural purposes between January 2018 and December 2018? 202 5896 0 2000000 49386.634 179927.227 0 None The household experienced any shock during the last calendar year Did the household experience any of the following shocks between January 2018 and December 2018? 5777 321 0 No 1578 1 Yes 4199 Sysmiss 321 The hh could not afford to eat as usual during at least one month during the las Between January 2018 and December 2018 were there any months in which the household members could not afford to eat what they normally eat? 5774 324 0 No 3263 1 Yes 2511 Sysmiss 324 Month with food shortage: Jan Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 2320 1 Yes 191 Sysmiss 3587 Month with food shortage: Feb Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 2192 1 Yes 319 Sysmiss 3587 Month with food shortage: Mar Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1949 1 Yes 562 Sysmiss 3587 Month with food shortage: Apr Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1654 1 Yes 857 Sysmiss 3587 Month with food shortage: May Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1484 1 Yes 1027 Sysmiss 3587 Month with food shortage: Jun Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1353 1 Yes 1158 Sysmiss 3587 Month with food shortage: Jul Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1621 1 Yes 890 Sysmiss 3587 Month with food shortage: Aug Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1815 1 Yes 696 Sysmiss 3587 Month with food shortage: Sep Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1852 1 Yes 659 Sysmiss 3587 Month with food shortage: Oct Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1820 1 Yes 691 Sysmiss 3587 Month with food shortage: Nov Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 1899 1 Yes 612 Sysmiss 3587 Month with food shortage: Dec Between January 2018 and December 2018, in which months did the food shortage occur? 2511 3587 0 No 2008 1 Yes 503 Sysmiss 3587 First reason for the food shortage What were the main reason for the food shortage? 2511 3587 0 Reason not specified 0 1 Loss of crops/insufficient production 2335 2 Over selling produce 41 3 Loss of livestock 3 4 Inability to work because of illness, disability, injury or old age 34 5 Lack of adequate land 40 6 Lack of capital 42 7 Lack of laborers on the farm 1 8 Lack of job opportunity outside the holding 10 99 Other 5 Sysmiss 3587 Second main reason for the food shortage What were the main reason for the food shortage? 2511 3587 0 Reason not specified 1197 1 Loss of crops/insufficient production 63 2 Over selling produce 89 3 Loss of livestock 84 4 Inability to work because of illness, disability, injury or old age 143 5 Lack of adequate land 381 6 Lack of capital 395 7 Lack of laborers on the farm 79 8 Lack of job opportunity outside the holding 70 99 Other 10 Sysmiss 3587 Third main reason for the food shortage What were the main reason for the food shortage? 2511 3587 0 Reason not specified 1885 1 Loss of crops/insufficient production 20 2 Over selling produce 12 3 Loss of livestock 19 4 Inability to work because of illness, disability, injury or old age 39 5 Lack of adequate land 145 6 Lack of capital 211 7 Lack of laborers on the farm 45 8 Lack of job opportunity outside the holding 129 99 Other 6 Sysmiss 3587 Has the household changed eating patterns as response to food shortage Has the household changed eating patterns as an immediate response to food shortage? 2511 3587 0 No 451 1 Yes 2060 Sysmiss 3587 Who in the hh has changed eating pattern: Male adults (over 25 years) Who in the household has changed the eating patterns? 2060 4038 0 No 501 1 Yes 1559 Sysmiss 4038 Who in the hh has changed eating pattern: Male youth (age between 14-25) Who in the household has changed the eating patterns? 2060 4038 0 No 1299 1 Yes 761 Sysmiss 4038 Who in the hh has changed eating pattern: Male children (<14 years old) Who in the household has changed the eating patterns? 2060 4038 0 No 1122 1 Yes 938 Sysmiss 4038 Who in the hh has changed eating pattern: Female adults (over 25 years) Who in the household has changed the eating patterns? 2060 4038 0 No 369 1 Yes 1691 Sysmiss 4038 Who in the hh has changed eating pattern: Female youth (age between 14-25) Who in the household has changed the eating patterns? 2060 4038 0 No 1238 1 Yes 822 Sysmiss 4038 Who in the hh has changed eating pattern: Female children (<14 years old) Who in the household has changed the eating patterns? 2060 4038 0 No 1155 1 Yes 905 Sysmiss 4038 Has the household skipped meals as response to food shortage Has the household skipped meals as an immediate response to food shortage? 2511 3587 0 No 731 1 Yes 1780 Sysmiss 3587 Who in the hh skipped meals: Male adults (over 25 years) Who in the household skipped meals? 1780 4318 0 No 450 1 Yes 1330 Sysmiss 4318 Who in the hh skipped meals: Male youth (age between 14-25) Who in the household skipped meals? 1780 4318 0 No 1170 1 Yes 610 Sysmiss 4318 Who in the hh skipped meals: Male children (<14 years old) Who in the household skipped meals? 1780 4318 0 No 1100 1 Yes 680 Sysmiss 4318 Who in the hh skipped meals: Female adults (over 25 years) Who in the household skipped meals? 1780 4318 0 No 327 1 Yes 1453 Sysmiss 4318 Who in the hh skipped meals: Female youth (age between 14-25) Who in the household skipped meals? 1780 4318 0 No 1108 1 Yes 672 Sysmiss 4318 Who in the hh skipped meals: Female children (<14 years old) Who in the household skipped meals? 1780 4318 0 No 1133 1 Yes 647 Sysmiss 4318 Has the household eaten less preferred meals as response to food shortage Has the household eaten less preferred meals as an immediate response to food shortage? 2511 3587 0 No 247 1 Yes 2264 Sysmiss 3587 Who in the hh ate less preferred meals: Male adults (over 25 years) Who in the household ate less preferred meals? 2264 3834 0 No 549 1 Yes 1715 Sysmiss 3834 Who in the hh ate less preferred: Male youth (age between 14-25) Who in the household ate less preferred meals? 2264 3834 0 No 1395 1 Yes 869 Sysmiss 3834 Who in the hh ate less preferred: Male children (<14 years old) Who in the household ate less preferred meals? 2264 3834 0 No 1066 1 Yes 1198 Sysmiss 3834 Who in the hh ate less preferred: Female adults (over 25 years) Who in the household ate less preferred meals? 2264 3834 0 No 411 1 Yes 1853 Sysmiss 3834 Who in the hh ate less preferred: Female youth (age between 14-25) Who in the household ate less preferred meals? 2264 3834 0 No 1313 1 Yes 951 Sysmiss 3834 Who in the hh ate less preferred: Female children (<14 years old) Who in the household ate less preferred meals? 2264 3834 0 No 1093 1 Yes 1171 Sysmiss 3834 Has the household reduced meal size as response to food shortage Has the household reduced meal size as immediate response to food shortage? 2511 3587 0 No 415 1 Yes 2096 Sysmiss 3587 Who in the hh reduced meals size: Male adults (over 25 years) Who in the household has reduced meal size? 2096 4002 0 No 525 1 Yes 1571 Sysmiss 4002 Who in the hh reduced meals size: Male youth (age between 14-25) Who in the household has reduced meal size? 2096 4002 0 No 1302 1 Yes 794 Sysmiss 4002 Who in the hh reduced meals size: Male children (<14 years old) Who in the household has reduced meal size? 2096 4002 0 No 1004 1 Yes 1092 Sysmiss 4002 Who in the hh reduced meals size: Female adults (over 25 years) Who in the household has reduced meal size? 2096 4002 0 No 388 1 Yes 1708 Sysmiss 4002 Who in the hh reduced meals size: Female youth (age between 14-25) Who in the household has reduced meal size? 2096 4002 0 No 1222 1 Yes 874 Sysmiss 4002 Who in the hh reduced meals size: Female children (<14 years old) Who in the household has reduced meal size? 2096 4002 0 No 1053 1 Yes 1043 Sysmiss 4002 The household likely to experience food shortage in the next 12 months? Is the household likely to experience food shortage in the next 12 months? 5768 330 0 No 2867 1 Yes 2901 Sysmiss 330 Any member of household attended farmers' training during the last calendar year Has any member of this household attended a farmers' training between January 2018 and December 2018? 5776 322 0 No 5045 1 Yes 691 98 Don't know 40 Sysmiss 322 Member of the household that attended farmers' training: Id 1 Who among the household members attended farmers' training? (mention all the household members who attended a farmer training) 691 5407 1 504 2 162 3 7 4 7 5 2 6 4 7 4 10 1 Sysmiss 5407 Member of the household that attended farmers' training: Id 2 Who among the household members attended farmers' training? (mention all the household members who attended a farmer training) 87 6011 2 79 3 2 4 2 5 2 6 1 12 1 Sysmiss 6011 Member of the household that attended farmers' training: Id 3 Who among the household members attended farmers' training? (mention all the household members who attended a farmer training) 5 6093 3 1 4 1 6 1 7 1 10 1 Sysmiss 6093 Member of the household that attended farmers' training: Id 4 Who among the household members attended farmers' training? (mention all the household members who attended a farmer training) 2 6096 8 1 12 1 Sysmiss 6096 Member of the household that attended farmers' training: Id 5 Who among the household members attended farmers' training? (mention all the household members who attended a farmer training) 1 6097 9 1 Sysmiss 6097 Any member of household received advice/information from an extension worker dur Has any member of this household received advice/information from an extension worker between January 2018 and December 2018? 5776 322 0 No 5035 1 Yes 699 98 Don't know 42 Sysmiss 322 Any member of the hh currently has a pending land dispute Do you or anyone in your household currently have a PENDING land dispute over any land of the holding? 5776 322 0 No 5411 1 Yes 365 Sysmiss 322 Number of current pending land disputes How many pending land disputes do you or anyone in your household currently have? 365 5733 1 324 2 33 3 6 4 2 Sysmiss 5733 Any member of the hh had a resolved land dispute in the past 5 years In the past 5 years, did you or anyone in your household have a RESOLVED land dispute over any land of the holding? 5776 322 0 No 5405 1 Yes 371 Sysmiss 322 Number of resolved land disputes over the past 5 years How many resolved land disputes did you or anyone in your household have in the past 5 years? 371 5727 1 320 2 30 3 12 4 5 5 1 7 1 8 1 10 1 Sysmiss 5727 Land dispute with the husband's family With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 522 1 Yes 126 Sysmiss 5450 Land dispute with the wife's family With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 644 1 Yes 4 Sysmiss 5450 Land dispute with brother/sister/parents With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 581 1 Yes 67 Sysmiss 5450 Land dispute with other relatives With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 546 1 Yes 102 Sysmiss 5450 Land dispute with landlord With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 584 1 Yes 64 Sysmiss 5450 Land dispute with sqatter/migrant With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 621 1 Yes 27 Sysmiss 5450 Land dispute with tenant With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 645 1 Yes 3 Sysmiss 5450 Land dispute with neighbour(s) With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 373 1 Yes 275 Sysmiss 5450 Land dispute with others With whom did you/the household have the dispute? (tick all that apply) 648 5450 0 No 614 1 Yes 34 Sysmiss 5450 Year in which the most recent dispute started In which year did the most recent dispute start? 647 5451 1974 2019 HH resorted to informal institutions to resolve the most recent dispute Have you resorted to informal institutions such as village elders, relatives, in an attempt to resolve the most recent dispute? 647 5451 0 No 170 1 Yes 477 Sysmiss 5451 HH resorted to formal institutions to resolve the most recent dispute Have you resorted to formal institutions in an attempt to resolve the most recent dispute? 647 5451 0 No 354 1 Yes 293 Sysmiss 5451 The most recent dispute has been resolved Has the most recent dispute been resolved? 647 5451 0 No, still ongoing 320 1 Yes 327 Sysmiss 5451 Year in which the most recent dispute was resolved In which year was the most recent dispute resolved? 327 5771 2008 1 2009 3 2012 2 2013 6 2014 12 2015 18 2016 34 2017 53 2018 148 2019 50 Sysmiss 5771 Most common method in this village/local community of resolving land disputes 5776 322 1 Family 349 2 Friends/elders 1108 3 Local Council 4016 4 Courts of law 156 5 Police 25 98 None 114 99 Other 8 Sysmiss 322 Sampling weight 6098 0 Sampling weight Total area of agricultural households (ha) 5942 156 0.000809 47.375 1.254 2.112 Total area of agricultural households Total area with crops of agricultural households (ha) 5942 156 0 25.129 0.852 1.091 Total area of agricultural households planted with crop Household unique identifier 10447 0 Household unique identifier and roster key Enterprise unique identifier 10447 0 Enterprise unique identifier and roster key Crop Growing Crop Growing 5718 Livestock/Poultry Rearing Livestock/Poultry Rearing 4729 Zardi 10447 0 Zardi name 1 Abi 875 2 Buginyanya 2141 3 Bulindi 845 4 Kachwekano 686 5 Mukono 1429 6 Ngetta 1420 7 Nubin 226 8 Serere 735 9 Mbarara 1201 10 Rwebitaba 889 Sub-region 10447 0 Subregion name 1 South Buganda 796 2 North Buganda 874 3 Busoga 789 4 Bukedi 690 5 Elgon 662 6 Teso 735 7 Karamoja 226 8 Lango 762 9 Acholi 658 10 West Nile 875 11 Bunyoro 845 12 Tooro 889 13 Ankole 960 14 Kigezi 686 Region 10447 0 Region name 1 Central 1670 2 Eastern 2876 3 Northern 2521 4 Western 3380 Who undertook enterprise Who undertook [ENTERPRISE]? 10447 0 1 Only males 676 2 Only females 1349 3 Mostly males 1421 4 Mostly females 2111 5 Men and women equally 4890 Main purpose of production of enterprise What is the main purpose of production of [ENTERPRISE]? 10447 0 1 Only for sale 998 2 Mainly for sale with some own consumption 3568 3 Mainly for own consumption and some for sale 4954 4 Only for own consumption 927 Sampling weight 10447 0 Sampling weight Household unique identifier 13977 0 Household unique identifier and roster key Parcel unique identifier 13977 0 Parcel unique identifier and roster key Zardi 13977 0 Zardi name 1 Abi 1386 2 Buginyanya 2622 3 Bulindi 951 4 Kachwekano 1412 5 Mukono 1660 6 Ngetta 1969 7 Nubin 252 8 Serere 713 9 Mbarara 1978 10 Rwebitaba 1034 Sub-region 13977 0 Subregion name 1 South Buganda 978 2 North Buganda 994 3 Busoga 928 4 Bukedi 773 5 Elgon 921 6 Teso 713 7 Karamoja 252 8 Lango 806 9 Acholi 1163 10 West Nile 1386 11 Bunyoro 951 12 Tooro 1034 13 Ankole 1666 14 Kigezi 1412 Region 13977 0 Region name 1 Central Region 1972 2 Eastern Region 3335 3 Northern Region 3607 4 Western Region 5063 Location of the parcel Where is the location of [PARCEL NAME]? 13892 85 1 Within ea/village 10883 2 Outside ea/village, within parish 1276 3 Outside parish, within the same subcounty 1125 4 Elsewhere in the Ddistrict 440 5 Outside the district 168 Sysmiss 85 Household member managing the parcel - first pid Who manages [PARCEL NAME]? (use PIDs) 13278 699 1 7918 2 4872 3 110 4 71 5 55 6 67 7 48 8 51 9 27 10 25 11 16 12 7 13 11 Sysmiss 699 Household member managing the parcel - second pid Who manages [PARCEL NAME]? (use PIDs) 7072 6905 1 3784 2 2904 3 106 4 41 5 41 6 43 7 52 8 24 9 25 10 17 11 24 12 9 13 2 Sysmiss 6905 Household member managing the parcel - third pid Who manages [PARCEL NAME]? (use PIDs) 295 13682 1 115 2 53 3 28 4 19 5 25 6 12 7 13 8 5 9 12 10 4 12 7 13 2 Sysmiss 13682 Was the whole, or part, of parcel a bush before this season 'Was the whole, or part, of [PARCEL NAME] a bush before this season? 13892 85 0 No 12203 1 Yes - whole parcel 521 2 Yes - a proportion of the parcel 1168 Sysmiss 85 Proportion of parcel that was bush before this season 1168 12809 10 10% 208 20 20% 235 25 One quarter 124 30 30% 150 40 40% 99 50 A half 142 60 60% 68 70 70% 55 75 Three quarters 16 80 80% 43 90 90% 28 Sysmiss 12809 Household's use right on parcel What is the household's use-right on this [PARCEL NAME]? 13892 85 1 Owned 10810 2 Rented for an agreed amount of money 1894 3 Rented for share of produce 117 4 Rented in exchange for services 59 5 Borrowed for free 932 6 Just walked in 68 7 Leased in 0 99 Other 12 Sysmiss 85 How household acquired parcel How did your household acquire this [PARCEL NAME] 10819 3158 1 Purchased 3891 2 Inherited after the death of a family member 1528 3 Allocated by family 4967 4 Allocated by clan/traditional authority 366 5 Allocated from Local Government 16 6 Gift from non-household member 20 7 Other Government program 6 8 Squatting 12 99 Other 13 Sysmiss 3158 Year when parcel was acquired In what year was this [PARCEL NAME] acquired? 13132 845 1930 2018 -98 Don't Know / Don't Remember Parcel tenure system What is the tenure system on [PARCEL NAME]? 11820 2157 1 Freehold 1412 2 Leasehold 27 3 Mailo 1363 4 Customary 8567 5 Public land 237 98 Don't know 212 99 Other 2 Sysmiss 2157 First official document for parcel Is there an official document for [PARCEL NAME] , such as a formal certificate of title, a customary certificate of ownership, a certificate of occupancy, a lease or a rental contract? 13892 85 0 No 9306 1 Yes 4081 98 Don't know 505 Sysmiss 85 Type of document for parcel (first document) What type of document does your household have for this [PARCEL NAME]? 4081 9896 1 Title Deed 359 2 Certificate of Customary Ownership 68 3 Certificate of Occupancy 37 4 Certificate of Hereditary Acquisition 142 5 Written Sale Agreement 3303 6 Rental Contract 155 7 Lease Contract 11 99 Other 6 Sysmiss 9896 First document was issued or registered by legal authorities Was this document issued by legal authorities or registered with legal authorities? 4081 9896 0 No 762 1 Yes 3292 98 Don't know 27 Sysmiss 9896 Any hh member listed on the fst document as owner/use rights holder Is any household member listed on the document as the owner or use rights holder? 4081 9896 1 Yes 3512 2 No, extended family members on the doc. 394 3 No, neither hh members, nor extended fam. members on doc 136 98 Don't know 32 999 Refused to tell 7 Sysmiss 9896 Household member listed in the document as owner - first pid Which household members are listed as owners or use rights holders in this document? (use PIDs) 3310 10667 1 2746 2 495 3 8 4 15 5 9 6 8 7 9 8 7 9 8 10 3 11 1 12 1 Sysmiss 10667 Household member listed in the document as owner - second pid Which household members are listed as owners or use rights holders in this document? (use PIDs) 797 13180 1 384 2 366 3 5 4 6 5 19 6 2 7 6 8 4 9 1 10 4 Sysmiss 13180 Household member listed in the document as owner - third pid Which household members are listed as owners or use rights holders in this document? (use PIDs) 21 13956 1 8 2 3 3 2 5 5 6 1 9 1 12 1 Sysmiss 13956 Second official document for parcel Is there a second official document for [PARCEL NAME]? 4081 9896 0 No 3996 1 Yes 85 Sysmiss 9896 Type of document for parcel (second document) What type of second document does your household have for [PARCEL NAME]? 85 13892 1 Title Deed 5 2 Certificate of Customary Ownership 3 3 Certificate of Occupancy 3 4 Certificate of Hereditary Acquisition 4 5 Written Sale Agreement 68 6 Rental Contract 0 7 Lease contract 2 99 Other 0 Sysmiss 13892 Second document was issued or registered by legal authorities Was this document issued by legal authorities or registered with legal authorities? 85 13892 0 No 13 1 Yes 72 Sysmiss 13892 Any hh member listed on the scnd document as owner/use rights holder Is any household member listed on the document as the owner or use rights holder? 85 13892 1 Yes 75 2 No, extended family members on the doc. 9 3 No, neither hh members, nor extended fam. members on doc 1 Sysmiss 13892 Household member listed in the 2nd document as owner - first pid Which household members are listed as owners or use rights holders in this second document? (use PIDs) 68 13909 1 61 2 6 7 1 Sysmiss 13909 Household member listed in the 2nd document as owner - second pid Which household members are listed as owners or use rights holders in this second document? (use PIDs) 6 13971 1 4 2 2 Sysmiss 13971 Any household's member can sell the parcel 11826 2151 0 No 3812 1 Yes 8014 Sysmiss 2151 Household member that can sell parcel - first pid Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 7677 6300 1 6035 2 1453 3 35 4 21 5 27 6 24 7 36 8 22 9 11 10 9 11 1 12 1 13 2 Sysmiss 6300 Household member that can sell parcel - second pid Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 2695 11282 1 1339 2 1227 3 36 4 15 5 24 6 19 7 12 8 7 9 3 10 6 11 3 12 3 13 1 Sysmiss 11282 Household member that can sell parcel - third pid Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 79 13898 1 27 2 21 3 3 4 4 5 2 6 10 7 3 8 5 9 4 Sysmiss 13898 Any household's member can use parcel as collateral Can anyone in the househod decide whether to use [PARCEL NAME] as a collateral either alone or with someone else? 11826 2151 0 No 3486 1 Yes 8340 Sysmiss 2151 HH member that can decide to use parcel as collateral- first pid Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 7996 5981 1 6270 2 1531 3 37 4 26 5 25 6 26 7 35 8 19 9 14 10 9 11 2 12 1 13 1 Sysmiss 5981 HH member that can decide to use parcel as collateral- second pid Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 2784 11193 1 1408 2 1249 3 32 4 10 5 25 6 26 7 11 8 6 9 5 10 7 11 1 12 3 13 1 Sysmiss 11193 HH member that can decide to use parcel as collateral- third pid Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 66 13911 1 30 2 14 3 3 4 4 6 8 7 1 8 4 9 2 Sysmiss 13911 Any household's member can bequeath the parcel Can anyone in the household bequeath [PARCEL NAME]? 11826 2151 0 No 2786 1 Yes 9040 Sysmiss 2151 HH member that can decide to bequeat parcel - first pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 8669 5308 1 7025 2 1349 3 49 4 37 5 35 6 41 7 48 8 35 9 16 10 16 11 13 13 5 Sysmiss 5308 HH member that can decide to bequeat parcel - second pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 2128 11849 1 1099 2 872 3 33 4 18 5 23 6 33 7 18 8 7 9 9 10 11 11 1 12 3 13 1 Sysmiss 11849 HH member that can decide to bequeat parcel - third pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 124 13853 1 53 2 12 3 7 4 9 5 5 6 11 7 3 8 4 9 3 10 5 12 5 13 7 Sysmiss 13853 Sampling weight 742.069 Sampling weight Parcel area with crops - ha 13970 7 0 17.638 0.362 0.607 Parcel area - ha 'What is the area of [PARCEL NAME] in acres, using GPS device? 13970 7 0 40.46 0.531 1.234 Household unique identifier 31858 0 Household unique identifier and roster key Parcel unique identifier 31858 0 Parcel unique identifier and roster key Plot unique identifier 31858 0 Plot unique identifier and roster key Zardi 31858 0 Zardi name 1 Abi 2769 2 Buginyanya 4955 3 Bulindi 3124 4 Kachwekano 2569 5 Mukono 3957 6 Ngetta 4627 7 Nubin 284 8 Serere 2505 9 Mbarara 4325 10 Rwebitaba 2743 Sub-region 31858 0 Subregion name 1 South Buganda 2206 2 North Buganda 2413 3 Busoga 2078 4 Bukedi 1489 5 Elgon 1388 6 Teso 2505 7 Karamoja 284 8 Lango 2188 9 Acholi 2439 10 West Nile 2769 11 Bunyoro 3124 12 Tooro 2743 13 Ankole 3663 14 Kigezi 2569 Region 31858 0 Region name 1 Central Region 4619 2 Eastern Region 7460 3 Northern Region 7680 4 Western Region 12099 What stands on plot What stands on [PLOT NAME]? 31858 0 1 Pure stand 13779 2 Mixed stand 9495 3 Intended pure stand (not planted yet) 297 4 Intended mixed stand (not planted yet) 28 5 Fallow 1712 6 Left bare after ploughing 336 7 Farm building or Home Dwelling 5416 8 Pond for aquaculture 7 9 Grazing land 564 10 Nurseries 14 11 Trees 169 12 Forests 34 99 Other 7 Main purpose of the farm building/structure on plot What is the main purpose of the farm building/structure on this [PLOT NAME]? 5416 26442 1 Dwelling 5302 2 Storing produce 9 3 Keeping poultry 23 4 Keeping other livestock 64 5 Not in use 5 99 Other 13 Sysmiss 26442 Plot was cultivated during the previous season Was this [PLOT NAME] cultivated during the previous season by the household or by another party? 23275 8583 0 No 2307 1 Yes 20946 98 Don't know 22 Sysmiss 8583 The manager of plot is a member of the household Is the plot manager for [PLOT NAME] a member of this household? 23275 8583 0 No 94 1 Yes 23181 Sysmiss 8583 ID of household members managing plot: 1 Who among the household members is the manager of [PLOT NAME]? 22227 9631 1 12194 2 9015 3 253 4 170 5 147 6 125 7 111 8 85 9 29 10 41 11 17 12 15 13 25 Sysmiss 9631 ID of household members managing plot: 2 Who among the household members is the manager of [PLOT NAME]? 12037 19821 1 6386 2 4910 3 201 4 89 5 69 6 84 7 105 8 59 9 36 10 27 11 43 12 24 13 4 Sysmiss 19821 ID of household members managing plot: 3 Who among the household members is the manager of [PLOT NAME]? 527 31331 1 186 2 111 3 20 4 53 5 64 6 15 7 19 8 23 9 11 10 3 11 3 12 4 13 15 Sysmiss 31331 The person deciding on inputs for plot is a member of the household Does the person who decides what kind of input is used in plot [PLOT NAME] and in which quantity live in this household? 23275 8583 0 No 62 1 Yes 23213 Sysmiss 8583 ID of household members deciding on inputs for plot: 1 Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 22252 9606 1 12305 2 9013 3 233 4 169 5 129 6 110 7 98 8 78 9 22 10 36 11 23 12 13 13 23 Sysmiss 9606 ID of household members deciding on inputs for plot: 2 Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 11351 20507 1 6070 2 4642 3 188 4 71 5 67 6 68 7 76 8 53 9 31 10 25 11 38 12 18 13 4 Sysmiss 20507 ID of household members deciding on inputs for plot: 3 Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 396 31462 1 136 2 81 3 22 4 34 5 60 6 11 7 9 8 17 9 6 10 5 12 4 13 11 Sysmiss 31462 The person preparing the land of plot is a member of the household Does the person who prepared the land for planting on this [PLOT NAME] live in this household? 23275 8583 0 No 942 1 Yes 22333 Sysmiss 8583 ID of household members preparing land: 1 Who in the household prepared the land for planting on this [PLOT NAME]? 21406 10452 1 9911 2 8803 3 489 4 408 5 375 6 426 7 350 8 229 9 128 10 127 11 70 12 28 13 62 Sysmiss 10452 ID of household members preparing land: 2 Who in the household prepared the land for planting on this [PLOT NAME]? 13822 18036 1 6146 2 5152 3 496 4 344 5 364 6 331 7 346 8 246 9 129 10 99 11 80 12 46 13 43 Sysmiss 18036 ID of household members preparing land: 3 Who in the household prepared the land for planting on this [PLOT NAME]? 3109 28749 1 876 2 696 3 160 4 228 5 289 6 154 7 199 8 203 9 152 10 75 11 33 12 18 13 26 Sysmiss 28749 How was land prepared on plot How was the land preparation done on this [PLOT NAME]? 23274 8584 1 Ridge till 1792 2 Mulch till 130 3 Planting holes/pits 1490 4 Zero tillage/ No tillage 1782 5 Conventional tillage 18080 Sysmiss 8584 Year in which hh started using this tillage method on plot In which year did you begin using this tillage method on [PLOT NAME]? 22162 9696 1916 2018 -98 Don't Know / Don't Recall Used a hand hoe to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 829 1 Yes 22446 Sysmiss 8583 Used a forked hoe to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 21933 1 Yes 1342 Sysmiss 8583 Used a panga to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 14232 1 Yes 9043 Sysmiss 8583 Used a Slasher/sickle to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 22087 1 Yes 1188 Sysmiss 8583 Used an Ox-Plough to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 18984 1 Yes 4291 Sysmiss 8583 Used an axe to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 22574 1 Yes 701 Sysmiss 8583 Used a Pick-Axe to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 23254 1 Yes 21 Sysmiss 8583 Used a Sprayer to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 22807 1 Yes 468 Sysmiss 8583 Used a Jab Planter to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 23274 1 Yes 1 Sysmiss 8583 Used a Ripper Planter to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 23274 1 Yes 1 Sysmiss 8583 Used a Tractor to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 22995 1 Yes 280 Sysmiss 8583 Used a Harrowing Stick to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 31537 321 0 No 31486 1 Yes 51 Sysmiss 321 Used other implement to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 23275 8583 0 No 23259 1 Yes 16 Sysmiss 8583 Plot is in a swamp or wetland area Is this [PLOT NAME] in a swamp or wetland area? 23275 8583 0 No 22013 1 Yes 1262 Sysmiss 8583 Irrigation is carried out on plot Is irrigation carried out on this [PLOT NAME]? 23275 8583 0 No 23092 1 Yes 183 Sysmiss 8583 Organic fertilizer has been used on plot during the last ag season Did you/your household use any ORGANIC fertilizer on this [PLOT NAME] during the last agricultural season? Did you/your household use any ORGANIC fertilizer on this [PLOT NAME] during the last agricultural season? 22253 9605 0 No 20589 1 Yes 1664 Sysmiss 9605 Inorganic fertilizer has been used on plot during the last ag season Did you use any inorganic fertilizer on this [PLOT NAME] during this season? Did you use any inorganic fertilizer on this [PLOT NAME] during this season? 22253 9605 0 No 21577 1 Yes 676 Sysmiss 9605 Plot area - cleaned variable - ha Derived variable INTERVIEWER: Measure and record the area of the [PLOT NAME], in acres 31826 32 0 40.46 0.233 0.715 Plot area with crops - cleaned variable - ha Derived variable 23604 8254 0 15.011 0.215 0.343 Sampling weight 31858 0 Sampling weight Household unique identifier 38087 0 Household unique identifier and roster key Parcel unique identifier 38087 0 Parcel unique identifier and roster key Plot unique identifier 38087 0 Plot unique identifier and roster key Crop unique identifier What crops are being grown (or will be grown) on [PLOT NAME]? 38087 0 Crop unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 38087 0 Crop name Avocado 62 Banana (Beer) 383 Banana (Food) 4436 Banana (Sweet) 535 Barley 23 Beans 5279 Broad Beans 25 Cabbages 91 Cassava 6128 Caster Beans 3 Chia 29 Chick Peas 59 Chillies and peppers 23 Cocoa 90 Coffee Arabica (new) 81 Coffee Arabica (old) 678 Coffee Robusta (clonal) 393 Coffee Robusta (old) 1563 Cotton 238 Cow Peas 477 Egg plants-biringanya 73 Field peas 279 Garlic 3 Green Grams 155 Groundnuts 1778 Irish Potatoes 650 Jackfruit 46 LEMONS 1 LOCAL MELON 1 Maize 5941 Mangoes 71 Millet 996 Ntula-Garden eggs 28 Okra 45 Onions 99 Oranges 118 Other (Specify) 13 Other cereals 9 Other fiber crop 1 Other fruit bearing vegetable 1 Other leafy vegetables 186 Other legominous crops 10 Other pome fruit 2 Other root, bulb, or tuberous vegetables 7 Other spice crop 8 Other sugar crops 4 Passion Fruit 55 Pawpaw 26 Pigeon Peas 125 Pineapples 85 Pumpkin 19 Rice 287 Simsim 735 Sorghum 931 Soursop (Kiteferi) 1 Soya Beans 557 Sugar cane 245 Sunflower 278 Sweet Potatoes 3040 Tea 53 Tobacco 18 Tomatoes 199 Vanilla, raw 65 Water melons 25 Yams 221 grapes 1 Crop code What crops are being grown (or will be grown) on [PLOT NAME]? 38087 0 22 9219 1275.994 1774.428 Crope code Zardi 38087 0 Zardi name 1 Abi 2852 2 Buginyanya 5910 3 Bulindi 4450 4 Kachwekano 2812 5 Mukono 5907 6 Ngetta 3594 7 Nubin 69 8 Serere 1983 9 Mbarara 6751 10 Rwebitaba 3759 Sub-region 38087 0 Subregion name 1 South Buganda 2971 2 North Buganda 3842 3 Busoga 2375 4 Bukedi 1561 5 Elgon 1974 6 Teso 1983 7 Karamoja 69 8 Lango 1656 9 Acholi 1938 10 West Nile 2852 11 Bunyoro 4450 12 Tooro 3759 13 Ankole 5845 14 Kigezi 2812 Region 38087 0 Region name 1 Central Region 6813 2 Eastern Region 7893 3 Northern Region 6515 4 Western Region 16866 Percentage of plot area cultivated with crop Approximately what percentage of the [PLOT NAME] area is cultivated (or will be cultivated) with [CROP NAME]? 23044 15043 1 99 40.437 23.277 Crop was planted or owned by the household Was/were [CROP NAME] planted or owned by you / your household or by someone else outside this household (eg. landlord)? 5884 32203 0 No, planted/owned by someone else 205 1 Yes, planted/owned household 5679 Sysmiss 32203 Crop has already been planted Has/Have [CROP NAME] already been planted? 25364 12723 0 No, crop has not been planted yet 99 1 Yes, crop has already been planted 25265 Sysmiss 12723 Month in which household will plant crop In which month will you/your household plant [CROP NAME] on this [PLOT NAME]? 99 37988 1 January 3 2 February 0 3 March 0 4 April 0 5 May 1 6 June 1 7 July 2 8 August 4 9 September 2 10 October 33 11 November 27 12 December 23 98 Don't know 3 Sysmiss 37988 Year in which crop was planted In which year was [CROP NAME] planted (or will be planted) on [PLOT NAME]? 35140 2947 -98 -98. Don't Know / Don't Recall Month in which crop was planted In which month was [CROP NAME] planted (or will be planted) on this [PLOT NAME]? 36442 1645 1 January 222 2 February 655 3 March 2842 4 April 2616 5 May 1129 6 June 880 7 July 3963 8 August 10278 9 September 7608 10 October 2276 11 November 658 12 December 169 98 Don't remember/Don't know 3146 Sysmiss 1645 Household used any seed/seedling during the current ag. season for crop Did you use any seed/seedling in the current agricultural season for [CROP NAME] on this [PLOT NAME]? 36442 1645 0 No 12155 1 Yes 24287 Sysmiss 1645 Quantity of seeds used for crop - tonnes How much seed did you use for this [CROP NAME] on this [PLOT NAME]? Converted in tonnes 15940 22147 4e-05 7.5 0.0109 0.0808 24287 13800 1 Traditional seeds 22454 2 Improved seeds 1766 98 Don't know 67 Sysmiss 13800 Main source of the seed/seedling used for crop What is the main source of the seed/seedling used for [CROP NAME] ON [PLOT NAME]? 24287 13800 1 Local retail shop/market/kiosk 4464 2 Input supplier 954 3 Government 439 4 Farmers group 60 5 Research center 16 6 Relative/neighbour 2066 7 Other farmer(s) 942 8 NGO 51 99 Other 15295 Sysmiss 13800 Any seed/seedlings for this crop was purchased Did you purchase any seed/seedlings for this [CROP NAME] on this [PLOT NAME]? 24286 13801 0 No 17702 1 Yes 6584 Sysmiss 13801 Quantity of seeds applied to crop that has been purchased - tonnes How much of the quantity applied to [CROP NAME] on this [PLOT NAME] has been purchased? Converted in tonnes 4634 33453 5e-05 0.7 0.0106 0.0228 Is there a second UNIT of measure for seed purchases INTERVIEWER: Is there a second UNIT of measure for seed purchases? 6584 31503 0 No 6579 1 Yes 5 Sysmiss 31503 Quantity of seeds applied to crop that has been purchased - tonnes OPTION 2: How much of the quantity applied to [CROP NAME] on this [PLOT NAME] has been purchased? Converted in tonnes 5 38082 0.001 0.024 0.00668 0.00982 cost for the seeds, including in kind payments, SHS option 2 OPTION 2: What was the cost of one [UNIT] of the purchased seeds/seedlings used for [CROP NAME] on this [PLOT NAME], in SHS? 5 38082 1800 15000 6960 6124.378 The crop variety requires buying new seeds every new season Does this [CROP NAME] variety require buying new planting seeds/planting materials every new season? 36438 1649 0 No 34416 1 Yes 2022 Sysmiss 1649 Expected quantity harvested of crop - tonnes How much [CROP NAME] do you expect to harvest from this [PLOT NAME] during the current agricultural season? Converted in tonnes 30746 7341 0.0005 88 1.291 5.613 Year in wich crop will be planted In which year will [CROP NAME] be planted on this [PLOT NAME]? 345 37742 2018 2018. 2018 324 2019 2019. 2019 21 Sysmiss 37742 Month in which crop will be planted In which month do you expect to plant [CROP NAME] on this [PLOT NAME]? 345 37742 1 January 9 2 February 4 3 March 7 4 April 0 5 May 0 6 June 1 7 July 0 8 August 0 9 September 0 10 October 125 11 November 143 12 December 56 Sysmiss 37742 Household harvested all of crop Did you/your household harvest all of [CROP NAME]? 35329 2758 1 None of the crop has been harvested yet 4861 2 Some of the crop has been harvested 3691 3 All of the crop has been harvested 19826 4 Most of the crop was destroyed 3262 5 All of the crop was destroyed 3398 6 Crop sold in the garden 198 7 Crop Does not belong to the Household 93 Sysmiss 2758 Condition in which crop was harvested In what condition or state was/were [CROP NAME] harvested in? 999 Other (Specify) 7729 Beetroot: Fresh/raw harvested 7739 Bitter berries-Katunkuma: Fresh/raw harvested 7779 Green Grams: Fresh/raw harvested 7789 Malakwang: Fresh/raw harvested 7799 Ntula-Garden eggs: Fresh/raw harvested 11129 Wheat: Fresh raw/harvested 11145 Wheat: Dry: grain 11211 Maize: Green harvested: on shell/cob and stalk 11212 Maize: Green harvested: on shell/cob without stalk 11213 Maize: Green harvested: in the cob 11221 Maize: Fresh/raw harvested: on shell/cob and stalk 11222 Maize: Fresh/raw harvested: on shell/cob without stalk 11223 Maize: Fresh/raw harvested: in the cob 11229 Maize: Fresh raw/harvested 11231 Maize: Dry at harvest: on shell/cob and stalk 11232 Maize: Dry at harvest: on shell/cob without stalk 11233 Maize: Dry at harvest on the cob 11243 Maize: Dry after additional drying: on cob 11245 Maize: Dry after additional drying: grain 11329 Rice: Fresh raw/harvested 11332 Rice: Dry at harvest - with shell 11342 Rice: Dry after additional drying: with shell 11345 Rice: Dry after additional drying: grain 11429 Sorghum: Fresh/raw harvested 11439 Sorghum: Dry at harvest 11445 Sorghum: Dry after additional drying: grain 11449 Sorghum: Dry after additional drying 11529 Barley: Fresh raw/harvested 11545 Barley: Dry: grain 11729 Oats: Fresh raw/harvested 11829 Millet: Fresh/raw harvested 11839 Millet: Dry at harvest 11845 Millet: Dry after additional drying: grain 11849 Millet: Dry after additional drying 21129 Amaranthus-Doodo: Fresh/raw harvested 21229 Asparagus: Fresh/raw harvested 21329 Cabbages: Fresh/raw harvested 21429 Cauliflowers, broccoli: Fresh raw/harvested 21529 Lettuce: Fresh/raw harvested 21629 Spinach: Fresh/raw harvested 21729 Chicory: Fresh raw/harvested 21829 Nakati-(Solanum aethiopicum): Fresh/raw harvested 21929 Amaranthus-Doodo: Fresh raw harvested 22129 Cucumber: Fresh/raw harvested 22229 Egg plants: Fresh/raw harvested 22329 Tomatoes: Fresh/raw harvested 22429 Watermelon: Fresh/raw harvested 22629 Pumpkin: Fresh raw/harvested 22729 Okra: Fresh raw/harvested 22929 Ntule-Garden Eggs 23129 Carrots: Fresh/raw harvested 23229 Turnips: Fresh raw/harvested 23329 Garlic: Fresh/raw harvested 23429 Onions: Fresh/raw harvested 24129 Mushroom: Fresh/raw harvested 31129 Avocado: Fresh/raw harvested 31529 Mangoes: Fresh/raw harvested 31629 Pawpaw: Fresh/raw harvested 31729 Pineapples: Fresh/raw harvested 31829 Jackfruit: Fresh/raw harvested 32129 Grape fruit: Fresh/raw harvested 32229 Lemon/Limes: Fresh/raw harvested 32329 Oranges: Fresh/raw harvested 32429 Tangerines, Mandarines: Fresh/raw harvested 32529 Passion Fruit: Fresh/raw harvested 34129 Currants: Fresh raw/harvested 34529 Strawberries: Fresh/raw harvested 35129 Apples: Fresh/raw harvested 35229 Apricots: Fresh/raw harvested 35529 Pears: Fresh/raw harvested 35629 Plums: Fresh raw/harvested 36229 Cashew nuts: Fresh raw/harvested 41114 Soya beans: Green harvested: in pods 41124 Soya beans: Fresh/raw harvested: in pods 41129 Soya Beans: Fresh raw/harvested 41145 Soya beans: Dry after additional drying: grain 42122 Groundnuts: Fresh/raw harvested: with shell 42129 Groundnuts: Fresh raw/harvested 42142 Groundnuts: Dry after additional drying: with shell 42145 Groundnuts: Dry after additional drying: grain 43129 Caster Beans: Fresh raw/harvested 43229 Linseed: Fresh raw/harvested 43329 Mustard: Fresh raw/harvested 43729 Simsim: Fresh raw/harvested 43735 Sim-sim: Dry at harvest: grain 43745 Sim-sim: Dry after additional drying: grain 43829 Sunflower: Fresh raw/harvested 43835 Sunflower: Dry at harvest: grain 43845 Sunflower: Dry after additional drying: grain 43929 Oil Palm: Fresh raw/harvested 51129 Irish potatoes: Fresh/raw harvested 52129 Sweet potatoes: Fresh/raw harvested 52149 Sweet Potatoes: Dry after additional drying 53129 Cassava: Fresh/raw harvested 53149 Cassava: Dry after additional drying 54129 Yams: Fresh/raw harvested 61229 Tea: Fresh/raw harvested 61424 Cocoa: Fresh/raw harvested: in pods or shells/husks 61429 Cocoa: Fresh raw/harvested: Cocoa beans 61445 Cocoa: Dry after additional drying: Cocoa beans 61529 Ginger-raw: Fresh/raw harvested 61629 Vanilla: Fresh/raw harvested 61729 Chillies and peppers: Fresh raw/harvested 71114 Beans: Green harvested: in pods 71124 Beans: Fresh/raw harvested: in pods 71129 Beans: Fresh raw/harvested 71145 Beans: Dry after additional drying: grain 71214 Bambara beans: Green harvested: in pods 71224 Bambara beans: Fresh/raw harvested: in pods 71229 Bambara beans-Empande: Fresh/raw harvested 71245 Bambara beans: Dry after additional drying: grain 72114 Broad Beans: Green harvested: in pods 72124 Broad Beans: Fresh/raw harvested: in pods 72129 Broad Beans: Fresh raw/harvested 72145 Broad Beans: Dry after additional drying: grain 73124 Chick Peas: Fresh raw harvested - in pods 73129 Chick Peas: Fresh raw/harvested 73145 Chick Peas: Dry after additional drying - grains 74114 Cow peas: Green harvested: in the pods 74124 Cow peas: Fresh/raw harvested: in pods 74129 Cow Peas: Fresh raw/harvested 74145 Cow peas: Dry after additional drying: grain 75129 Lentils: Fresh/raw harvested 77124 Field peas: Fresh raw harvested - in pods 77129 Field Peas: Fresh raw/harvested 77145 Field peas: Dry after additional drying: grain 77329 Bitter berries - katukuma: Fresh raw harvested 77645 Chia: Dry after additional drying 77649 Chia: Dry after Additional Drying 77729 Green Grams: Fresh raw harvested 77745 Green Grams: Dry after additional drying 78114 Pigeon peas: Green harvested: in the pods 78124 Pigeon peas: Fresh/raw harvested: in pods 78129 Pigeon Peas: Fresh raw/harvested 78145 Pigeon peas: Dry after additional drying: grain 78224 Lima Beans-Buyindiyindi: Fresh raw harvested - in pods 78229 Lima Beans - Obuyindiyindi: Fresh raw/harvested 81129 Sugar beet: Fresh/raw harvested 81229 Beet root: Fresh raw harvested 82129 Sugar cane: Fresh/raw harvested 83129 Sweet sorghum: Fresh raw/harvested 83145 Sweet sorghum: Dry 96129 Tobacco: Fresh raw/harvested 96149 Tobacco: Dry after additional drying 119129 Mixed Cereals: Fresh raw/harvested 219229 Gobbe (cow peas leaves): Fresh raw harvested 219329 Sukuma Wiki: Fresh raw harvested 219729 Malakwang: Fresh raw harvested 312129 Banana Food: Fresh/raw harvested 312229 Banana Sweet: Fresh/raw harvested 312329 Banana Beer: Fresh/raw harvested 611124 Coffee Arabica (old): Ripe (fresh) cherries 611129 Coffee Arabica (old): Fresh raw/harvested 611149 Coffee Arabica (old): Dry unprocessed (Drugar) 611150 Coffee Arabica (old): Dry parchment (pulped and fermented) 611224 Coffee Robusta (old): Ripe (fresh) cherries 611229 Coffee Robusta (old): Fresh raw/harvested 611249 Coffee Robusta (old): Dry cherries (Kiboko) 611250 Coffee Robusta (old): Clean Coffee (Dry &amp; Milled) 611324 Coffee Arabica (new): Ripe (fresh) cherries 611329 Coffee Arabica (new): Fresh raw/harvested 611349 Coffee Arabica (new): Dry unprocessed (Drugar) 611350 Coffee Arabica (new): Dry parchment (pulped and fermented) 611424 Coffee Robusta (Clonal): Ripe (fresh) cherries 611429 Coffee Robusta (clonal): Fresh raw/harvested 611449 Coffee Robusta (Clonal): Dry cherries (Kiboko) 611450 Coffee Robusta (Clonal): Clean Coffee (Dry &amp; Milled) 651129 Green Peppers: Fresh raw harvested 921129 Cotton: Fresh raw/harvested 921149 Cotton: Dry after additional drying 921329 Flax, Hemp: Fresh raw/harvested 921345 Flax, Hemp: Dry after additional drying Quantity harvested of crop in first harvest condition - tonnes How much of [CROP NAME] did you harvest? Converted in tonnes 25411 12676 0.0001 150 0.404 2.262 Quantity sold of crop in first harvest condition - tonnes How much of the [CROP NAME] did you sell? 8484 29603 0.0003 150 0.529 3.475 Total value of crop sales in first harvest condition - SHS What was the total value of sales of [CROP NAME] in SHS? 9344 28743 0 118800000 271345.122 1472991.575 Is there a second state of harvest for crop INTERVIEWER: Is there a second state of harvest for [CROP NAME]? 26779 11308 0 No 23217 1 Yes 3562 Sysmiss 11308 Second condition in which crop was harvested What is the second condition or state [CROP NAME] was harvested in? 3506 34581 999 Other (Specify) 0 7729 Beetroot: Fresh/raw harvested 0 7739 Bitter berries-Katunkuma: Fresh/raw harvested 0 7779 Green Grams: Fresh/raw harvested 0 7789 Malakwang: Fresh/raw harvested 0 7799 Ntula-Garden eggs: Fresh/raw harvested 0 11129 Wheat: Fresh raw/harvested 0 11145 Wheat: Dry: grain 0 11211 Maize: Green harvested: on shell/cob and stalk 1 11212 Maize: Green harvested: on shell/cob without stalk 46 11213 Maize: Green harvested: in the cob 24 11221 Maize: Fresh/raw harvested: on shell/cob and stalk 71 11222 Maize: Fresh/raw harvested: on shell/cob without stalk 97 11223 Maize: Fresh/raw harvested: in the cob 777 11224 1 11229 Maize: Fresh raw/harvested 0 11231 Maize: Dry at harvest: on shell/cob and stalk 14 11232 Maize: Dry at harvest: on shell/cob without stalk 13 11233 Maize: Dry at harvest on the cob 10 11243 Maize: Dry after additional drying: on cob 24 11245 Maize: Dry after additional drying: grain 301 11329 Rice: Fresh raw/harvested 0 11332 Rice: Dry at harvest - with shell 1 11342 Rice: Dry after additional drying: with shell 3 11345 Rice: Dry after additional drying: grain 1 11429 Sorghum: Fresh/raw harvested 0 11439 Sorghum: Dry at harvest 0 11445 Sorghum: Dry after additional drying: grain 0 11449 Sorghum: Dry after additional drying 1 11529 Barley: Fresh raw/harvested 0 11545 Barley: Dry: grain 0 11729 Oats: Fresh raw/harvested 0 11829 Millet: Fresh/raw harvested 0 11839 Millet: Dry at harvest 0 11845 Millet: Dry after additional drying: grain 3 11849 Millet: Dry after additional drying 1 21129 Amaranthus-Doodo: Fresh/raw harvested 0 21229 Asparagus: Fresh/raw harvested 0 21329 Cabbages: Fresh/raw harvested 0 21429 Cauliflowers, broccoli: Fresh raw/harvested 0 21529 Lettuce: Fresh/raw harvested 0 21629 Spinach: Fresh/raw harvested 0 21729 Chicory: Fresh raw/harvested 0 21829 Nakati-(Solanum aethiopicum): Fresh/raw harvested 0 21929 Amaranthus-Doodo: Fresh raw harvested 0 22129 Cucumber: Fresh/raw harvested 0 22229 Egg plants: Fresh/raw harvested 2 22329 Tomatoes: Fresh/raw harvested 0 22429 Watermelon: Fresh/raw harvested 0 22629 Pumpkin: Fresh raw/harvested 0 22729 Okra: Fresh raw/harvested 3 22929 Ntule-Garden Eggs 0 23129 Carrots: Fresh/raw harvested 0 23229 Turnips: Fresh raw/harvested 0 23329 Garlic: Fresh/raw harvested 0 23429 Onions: Fresh/raw harvested 0 24129 Mushroom: Fresh/raw harvested 0 31129 Avocado: Fresh/raw harvested 0 31529 Mangoes: Fresh/raw harvested 0 31629 Pawpaw: Fresh/raw harvested 0 31729 Pineapples: Fresh/raw harvested 0 31829 Jackfruit: Fresh/raw harvested 0 32129 Grape fruit: Fresh/raw harvested 0 32229 Lemon/Limes: Fresh/raw harvested 0 32329 Oranges: Fresh/raw harvested 0 32429 Tangerines, Mandarines: Fresh/raw harvested 0 32529 Passion Fruit: Fresh/raw harvested 0 34129 Currants: Fresh raw/harvested 0 34529 Strawberries: Fresh/raw harvested 0 35129 Apples: Fresh/raw harvested 0 35229 Apricots: Fresh/raw harvested 0 35529 Pears: Fresh/raw harvested 0 35629 Plums: Fresh raw/harvested 0 36229 Cashew nuts: Fresh raw/harvested 0 41114 Soya beans: Green harvested: in pods 1 41124 Soya beans: Fresh/raw harvested: in pods 4 41129 Soya Beans: Fresh raw/harvested 0 41145 Soya beans: Dry after additional drying: grain 4 42122 Groundnuts: Fresh/raw harvested: with shell 118 42129 Groundnuts: Fresh raw/harvested 0 42142 Groundnuts: Dry after additional drying: with shell 40 42145 Groundnuts: Dry after additional drying: grain 7 43129 Caster Beans: Fresh raw/harvested 0 43229 Linseed: Fresh raw/harvested 0 43329 Mustard: Fresh raw/harvested 0 43729 Simsim: Fresh raw/harvested 0 43735 Sim-sim: Dry at harvest: grain 0 43745 Sim-sim: Dry after additional drying: grain 0 43829 Sunflower: Fresh raw/harvested 0 43835 Sunflower: Dry at harvest: grain 0 43845 Sunflower: Dry after additional drying: grain 0 43929 Oil Palm: Fresh raw/harvested 0 51129 Irish potatoes: Fresh/raw harvested 0 52129 Sweet potatoes: Fresh/raw harvested 1 52149 Sweet Potatoes: Dry after additional drying 20 53129 Cassava: Fresh/raw harvested 49 53149 Cassava: Dry after additional drying 55 54129 Yams: Fresh/raw harvested 0 61229 Tea: Fresh/raw harvested 0 61424 Cocoa: Fresh/raw harvested: in pods or shells/husks 0 61429 Cocoa: Fresh raw/harvested: Cocoa beans 0 61445 Cocoa: Dry after additional drying: Cocoa beans 1 61529 Ginger-raw: Fresh/raw harvested 0 61629 Vanilla: Fresh/raw harvested 0 61729 Chillies and peppers: Fresh raw/harvested 0 71114 Beans: Green harvested: in pods 72 71124 Beans: Fresh/raw harvested: in pods 978 71129 Beans: Fresh raw/harvested 0 71145 Beans: Dry after additional drying: grain 663 71214 Bambara beans: Green harvested: in pods 0 71224 Bambara beans: Fresh/raw harvested: in pods 0 71229 Bambara beans-Empande: Fresh/raw harvested 0 71245 Bambara beans: Dry after additional drying: grain 0 72114 Broad Beans: Green harvested: in pods 0 72124 Broad Beans: Fresh/raw harvested: in pods 3 72129 Broad Beans: Fresh raw/harvested 0 72145 Broad Beans: Dry after additional drying: grain 1 73124 Chick Peas: Fresh raw harvested - in pods 0 73129 Chick Peas: Fresh raw/harvested 0 73145 Chick Peas: Dry after additional drying - grains 0 74114 Cow peas: Green harvested: in the pods 1 74124 Cow peas: Fresh/raw harvested: in pods 2 74129 Cow Peas: Fresh raw/harvested 0 74145 Cow peas: Dry after additional drying: grain 4 75129 Lentils: Fresh/raw harvested 0 77124 Field peas: Fresh raw harvested - in pods 27 77129 Field Peas: Fresh raw/harvested 0 77145 Field peas: Dry after additional drying: grain 4 77329 Bitter berries - katukuma: Fresh raw harvested 0 77645 Chia: Dry after additional drying 0 77649 Chia: Dry after Additional Drying 0 77729 Green Grams: Fresh raw harvested 0 77745 Green Grams: Dry after additional drying 0 78114 Pigeon peas: Green harvested: in the pods 0 78124 Pigeon peas: Fresh/raw harvested: in pods 20 78129 Pigeon Peas: Fresh raw/harvested 0 78145 Pigeon peas: Dry after additional drying: grain 7 78224 Lima Beans-Buyindiyindi: Fresh raw harvested - in pods 0 78229 Lima Beans - Obuyindiyindi: Fresh raw/harvested 0 81129 Sugar beet: Fresh/raw harvested 0 81229 Beet root: Fresh raw harvested 0 82129 Sugar cane: Fresh/raw harvested 0 83129 Sweet sorghum: Fresh raw/harvested 0 83145 Sweet sorghum: Dry 0 96129 Tobacco: Fresh raw/harvested 0 96149 Tobacco: Dry after additional drying 0 119129 Mixed Cereals: Fresh raw/harvested 0 219229 Gobbe (cow peas leaves): Fresh raw harvested 6 219329 Sukuma Wiki: Fresh raw harvested 0 219729 Malakwang: Fresh raw harvested 0 312129 Banana Food: Fresh/raw harvested 0 312229 Banana Sweet: Fresh/raw harvested 0 312329 Banana Beer: Fresh/raw harvested 0 521494 1 611124 Coffee Arabica (old): Ripe (fresh) cherries 10 611129 Coffee Arabica (old): Fresh raw/harvested 0 611149 Coffee Arabica (old): Dry unprocessed (Drugar) 1 611150 Coffee Arabica (old): Dry parchment (pulped and fermented) 0 611224 Coffee Robusta (old): Ripe (fresh) cherries 8 611229 Coffee Robusta (old): Fresh raw/harvested 0 611249 Coffee Robusta (old): Dry cherries (Kiboko) 2 611250 Coffee Robusta (old): Clean Coffee (Dry &amp; Milled) 0 611324 Coffee Arabica (new): Ripe (fresh) cherries 0 611329 Coffee Arabica (new): Fresh raw/harvested 0 611349 Coffee Arabica (new): Dry unprocessed (Drugar) 1 611350 Coffee Arabica (new): Dry parchment (pulped and fermented) 0 611424 Coffee Robusta (Clonal): Ripe (fresh) cherries 1 611429 Coffee Robusta (clonal): Fresh raw/harvested 0 611449 Coffee Robusta (Clonal): Dry cherries (Kiboko) 0 611450 Coffee Robusta (Clonal): Clean Coffee (Dry &amp; Milled) 0 651129 Green Peppers: Fresh raw harvested 0 921129 Cotton: Fresh raw/harvested 0 921149 Cotton: Dry after additional drying 0 921329 Flax, Hemp: Fresh raw/harvested 0 921345 Flax, Hemp: Dry after additional drying 0 Sysmiss 34581 Quantity harvested of crop in second harvest condition - tonnes How much of the [CROP NAME] did you harvest under this second condition? Converted in tonnes 3504 34583 0.0002 4.035 0.0435 0.136 Quantity sold of crop in second harvest condition - tonnes How much of [CROP NAME] did you sell under the second harvest condition? 287 37800 0.0009 1.853 0.137 0.228 Total value of crop sales in second harvest condition - SHS What was the total value of the sales of [CROP NAME] under second condition, in SHS? 296 37791 800 2240000 98820.946 175162.825 Market where crop is sold Where is most of the production of [CROP NAME] sold? 9543 28544 1 Wholesale sale at the market 1232 2 Retail sale at the market 1359 3 Wholesale sale at the farm or home 3952 4 Retail sale at the farm or home 2817 5 Direct delivery to the consumer 97 6 Production Contract 71 99 Other 15 Sysmiss 28544 Main buyer for crop Who is the main buyer for [CROP NAME] in [PLOT]? 9542 28545 1 Government 15 2 Local Organization/Institution 153 3 Private traders 7524 4 Consumers 1398 5 Neighbours 338 6 Relatives 20 7 Cooperative Unions 75 99 Other 19 Sysmiss 28545 HH member deciding on how to dispose of harvested quantity - first pid Who made the decision about what to do with the harvest of [CROP NAME] such as whether to sell, store, give away, or consume at home? 26772 11315 1 22819 2 3610 3 82 4 50 5 42 6 40 7 46 8 21 9 10 10 23 11 3 12 14 13 12 Sysmiss 11315 HH member deciding on how to dispose of harvested quantity - second pid Who made the decision about what to do with the harvest of [CROP NAME] such as whether to sell, store, give away, or consume at home? 14015 24072 1 74 2 13239 3 217 4 155 5 58 6 77 7 49 8 50 9 45 10 24 11 18 12 4 13 5 Sysmiss 24072 HH member deciding on how to use earnings from crop sales - first pid Who decided how to use the earnings from the sale of [CROP NAME]? 208 37879 1 184 2 23 3 1 Sysmiss 37879 HH member deciding on how to use earnings from crop sales - second pid Who decided how to use the earnings from the sale of [CROP NAME]? 109 37978 2 104 3 2 4 1 6 2 Sysmiss 37978 Expected quantity of harvested crop in the final state - tonnes How much [CROP NAME] do you expect to harvest in the final state? Converted in tonnes 109 37978 0.0058 1.98 0.208 0.325 Farm gate unit price of crop in first harvest condition - SHS/tonnes How much did you get paid for one [UNIT] of [HARVEST CONDITION 1] of in SHS? Converted into SHS/tonnes 8484 29603 0 303333312 1608293.183 5797254.041 Farm gate unit price of crop in second harvest condition - SHS/tonnes How much did you get paid for one [UNIT] of [HARVEST CONDITION 2] in SHS? Converted in SHS/tonnes 287 37800 0 60000000 1571043.36 4379777.799 Total quantity harvested of crop - tonnes Derived variable 32661 5426 0 229.058 0.373 2.393 Total quantity sold of crop - tonnes Derived variable 8716 29371 0.0003 150 0.519 3.429 Total area under crop in the plot- ha Derived variable 36924 1163 0.000202 15.011 0.137 0.258 Sampling weight 38087 0 Sampling weight Yield - tonnes/ha Derived variable Derived variable after data cleaning 32356 5731 0 179.148 3.14 5.816 Household unique identifier 36367 0 Household unique identifier and roster key Individual unique identifier 36367 0 Individual unique identifier and roster key zardi 36367 0 Zardi name 1 Abi 3123 2 Buginyanya 7366 3 Bulindi 2743 4 Kachwekano 2206 5 Mukono 4454 6 Ngetta 5005 7 Nubin 1405 8 Serere 2782 9 Mbarara 4363 10 Rwebitaba 2920 sub_region 36367 0 Subregion name 1 South Buganda 2424 2 North Buganda 2793 3 Busoga 2565 4 Bukedi 2643 5 Elgon 2158 6 Teso 2782 7 Karamoja 1405 8 Lango 2381 9 Acholi 2624 10 West Nile 3123 11 Bunyoro 2743 12 Tooro 2920 13 Ankole 3600 14 Kigezi 2206 region 36367 0 Region name 1 Central Region 5217 2 Eastern Region 10148 3 Northern Region 9533 4 Western Region 11469 Sex of household's member What is the sex of [NAME]? 36367 0 1 Male 18110 2 Female 18257 Relationship to household's head What is [NAME]'s relationship to household head? 36367 0 1 Head 5768 2 Spouse 4246 3 Son/Daughter/Step Child 19781 4 Parent 104 5 Other Relative 6013 6 Non-Relative 455 Residential status of household's member What is the residential status of [NAME]? 36367 0 1 Usual member 33481 2 Regular member 2833 3 Guest 53 Age of household's member How old is [NAME] in completed years? 36351 16 0 0 927 1 1 929 2 2 1070 3 3 999 4 4 1221 5 5 1262 6 6 1343 7 7 1226 8 8 1342 9 9 1158 10 10 1334 11 11 985 12 12 1314 13 13 1191 14 14 1185 15 15 1060 16 16 977 17 17 886 18 18 1052 19 19 674 22 20-24 2910 27 25-29 2095 32 30-34 1605 37 35-39 1633 42 40-44 1273 47 45-49 1235 52 50-54 958 57 55-59 678 62 60-64 564 65 65+ 1265 Sysmiss 16 Marital status of household's member What is [NAME]'s current marital status? 24434 11933 1 Married 9449 2 Divorced/Separated/Widowed 2010 3 Never been married 12975 Sysmiss 11933 Highest level of formal education attended by hh member 33076 3291 1 Nursery or never been to school 7584 2 Primary education 19104 3 Secondary education 5620 4 Above secondary education 765 98 Don't know 3 Sysmiss 3291 Household's member can read and write in any language Can [NAME] read and write in any language? 18154 18213 0 No 7170 1 Yes 10984 Sysmiss 18213 mainEconomic What was [NAME]'s main economic activity in the last 12 months? 24837 11530 1 Agricultural activity 11674 2 Trader 457 3 Artisan - worker in a skilled trade 270 4 Ag. paid job outside the holding 119 5 Non-ag. paid job outside the holding 1758 6 No activity - looking for work 277 7 No activity - not looking for work 487 8 Student 9457 9 Household work 338 Sysmiss 11530 Employment status of household's member In this main activity, was [NAME] a(n)… 14278 22089 1 Own Account Worker (independent) 10049 2 Employer 84 3 Salaried Worker 1208 4 Task Worker 690 5 Unpaid Family Member 2199 6 Trainee/Volunteer/Intern 42 8 Member of Cooperative 6 Sysmiss 22089 Household's member belong to a farmer group This information was collected only during the post-planting. Does [NAME] belong to a farmers’ group? 18205 18162 0 No 16592 1 Yes 1613 Sysmiss 18162 Sampling weight 36367 0 254.641 15885.615 1182.899 907.109 Sampling weight Household unique identifier 34520 0 Household unique identifier and roster key Parcel unique identifier 34520 0 Parcel unique identifier and roster key Plot unique identifier 34520 0 Plot unique identifier and roster key Crop unique identifier 34520 0 Crop unique identifier and roster key Disposition unique identifier 34520 0 Disposition unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 34517 0 Name of crop Avocado 54 Banana (Beer) 116 Banana (Food) 4311 Banana (Sweet) 385 Barley 11 Beans 6549 Broad Beans 53 Cabbages 77 Cassava 3302 Chia 15 Chick Peas 87 Chillies and peppers 4 Cocoa 2 Coffee Arabica (new) 5 Coffee Arabica (old) 56 Coffee Robusta (clonal) 12 Coffee Robusta (old) 58 Cotton 15 Cow Peas 282 Egg plants-biringanya 81 Field peas 209 Garlic 3 Green Grams 159 Groundnuts 2596 Irish Potatoes 929 Jackfruit 40 Maize 5765 Mangoes 33 Millet 1601 Ntula-Garden eggs 24 Okra 63 Onions 97 Oranges 40 Other (Specify) 6 Other cereals 12 Other fruit bearing vegetable 1 Other leafy vegetables 257 Other legominous crops 9 Other root, bulb, or tuberous vegetables 3 Other spice crop 1 Passion Fruit 14 Pawpaw 18 Pigeon Peas 148 Pineapples 63 Pumpkin 16 Rice 334 Simsim 1157 Sorghum 1245 Soya Beans 555 Sugar cane 64 Sunflower 264 Sweet Potatoes 2906 Tobacco 6 Tomatoes 204 Vanilla, raw 1 Water melons 18 Yams 181 Zardi 34520 0 Zardi name 1 Abi 2420 2 Buginyanya 5272 3 Bulindi 3522 4 Kachwekano 2734 5 Mukono 4490 6 Ngetta 4974 7 Nubin 55 8 Serere 1278 9 Mbarara 6048 10 Rwebitaba 3727 Sub-region 34520 0 Subregion name 1 South Buganda 2339 2 North Buganda 2916 3 Busoga 1971 4 Bukedi 1481 5 Elgon 1820 6 Teso 1278 7 Karamoja 55 8 Lango 2218 9 Acholi 2756 10 West Nile 2420 11 Bunyoro 3522 12 Tooro 3727 13 Ankole 5283 14 Kigezi 2734 Region 34520 0 Region name 1 Central Region 5255 2 Eastern Region 6550 3 Northern Region 7449 4 Western Region 15266 Quantity (tonnes) of produced crop used for disposition 33137 1383 5.96e-07 19.399 0.174 0.47 Total amount earned (SHS) from selling processed product Total amount earned in SHS from selling processed product? 220 34300 0 5500000 290996.209 582213.547 0 processed products not yet sold Sampling weight 34520 0 Sampling weight Household unique identifier 4308 0 Household unique identifier and roster key Parcel unique identifier 4308 0 Parcel unique identifier and roster key Plot unique identifier 4308 0 Plot unique identifier and roster key Crop unique identifier 4308 0 Crop unique identifier and roster key Disposition unique identifier How was [CROP NAME] disposed of? 4308 0 Disposition unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 4308 0 Beans 2103 Broad Beans 5 Cassava 115 Coffee Arabica (old) 3 Cow Peas 19 Egg plants-biringanya 3 Field peas 37 Groundnuts 205 Maize 1632 Millet 4 Okra 3 Other leafy vegetables 92 Other legominous crops 1 Pigeon Peas 36 Rice 8 Sorghum 1 Soya Beans 10 Sweet Potatoes 31 Zardi 4308 0 1 Abi 356 2 Buginyanya 596 3 Bulindi 537 4 Kachwekano 335 5 Mukono 533 6 Ngetta 282 7 Nubin 6 8 Serere 30 9 Mbarara 881 10 Rwebitaba 752 Sub-region 4308 0 1 South Buganda 378 2 North Buganda 270 3 Busoga 262 4 Bukedi 109 5 Elgon 225 6 Teso 30 7 Karamoja 6 8 Lango 21 9 Acholi 261 10 West Nile 356 11 Bunyoro 537 12 Tooro 752 13 Ankole 766 14 Kigezi 335 Region 4308 0 1 Central Region 648 2 Eastern Region 626 3 Northern Region 644 4 Western Region 2390 Quantity (tonnes) of produced crop used for disposition 4228 80 1.67e-06 4.035 0.0261 0.0887 Total amount earned (SHS) from selling processed product Total amount earned in SHS from selling processed product? 5 4303 8000 54000 31000 20149.442 0 processed products not yet sold Sampling weight 4308 0 Sampling weight Household unique identifier 2058 0 Household unique identifier and roster key Parcel unique identifier Parcel unique identifier and roster key Plot unique identifier 2058 0 Plot unique identifier and roster key Organic fertilizer unique identifier What types of fertilizer did you apply on the plot? 2058 0 Organic fertilizer unique identifier and roster key 1 Commercial organic Fertilizer (e.g Fertiplus, Biochar) 36 10 1 2 Animal Droppings 1068 3 Animal Urine 23 4 Chicken droppings 73 5 Plant residue/compost 196 6 Green plant cover crops 533 7 Ash 6 8 Municipal waste 56 9 Sewage/sludge 64 99 Other (specify) 2 Zardi 2058 0 Zardi name 1 Abi 20 2 Buginyanya 349 3 Bulindi 26 4 Kachwekano 274 5 Mukono 324 6 Ngetta 11 7 Nubin 1 8 Serere 279 9 Mbarara 738 10 Rwebitaba 36 Sub-region 2058 0 Subregion name 1 South Buganda 219 2 North Buganda 160 3 Busoga 8 4 Bukedi 56 5 Elgon 285 6 Teso 279 7 Karamoja 1 8 Lango 2 9 Acholi 9 10 West Nile 20 11 Bunyoro 26 12 Tooro 36 13 Ankole 683 14 Kigezi 274 Region 2058 0 Region name 1 Central Region 379 2 Eastern Region 628 3 Northern Region 32 4 Western Region 1019 source of organic fertilizer:Home made How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1979 79 0 No 348 1 Yes 1631 Sysmiss 79 source of organic fertilizer:Purchased How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1979 79 0 No 1754 1 Yes 225 Sysmiss 79 source of organic fertilizer:Received for free How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1979 79 0 No 1848 1 Yes 131 Sysmiss 79 source of organic fertilizer:Animals on plot overnight How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1979 79 0 No 1972 1 Yes 7 Sysmiss 79 source of organic fertilizer:Other How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1979 79 0 No 1978 1 Yes 1 Sysmiss 79 Sampling weight 2058 0 Sampling weight Household unique identifier 800 0 Household unique identifier and roster key Parcel unique identifier 800 0 Parcel unique identifier and roster key Plot unique identifier 800 0 Plot unique identifier and roster key Inorganic fertilizer unique identifier 800 0 Inorganic fertilizer unique identifier and roster key 1 CAN (Calcium Ammonium Nitrate) 46 2 Urea 166 3 DAP (Diammonium Phosphate) 103 4 SSP (Single Super Phosphate) 11 5 TSP (Tipple Super Phosphate) 6 6 MOP (Muriate of Potash) 1 7 NPK (Nitrogen Phosphorous Potassium) 283 9 Other (Specify) 184 Zardi 800 0 Zardi name 1 Abi 7 2 Buginyanya 319 3 Bulindi 97 4 Kachwekano 76 5 Mukono 167 6 Ngetta 17 7 Nubin 0 8 Serere 1 9 Mbarara 50 10 Rwebitaba 66 Sub-region 800 0 Subregion name 1 South Buganda 88 2 North Buganda 105 3 Busoga 49 4 Bukedi 49 5 Elgon 221 6 Teso 1 7 Karamoja 0 8 Lango 7 9 Acholi 10 10 West Nile 7 11 Bunyoro 97 12 Tooro 66 13 Ankole 24 14 Kigezi 76 Region 800 0 Region name 1 Central Region 193 2 Eastern Region 320 3 Northern Region 24 4 Western Region 263 Quantity of inorganic fertilizer applied in the whole season -kg How much [INORGANIC FERTILIZER] did you apply to this [PLOT] in the whole season? 552 248 0.25 2500 104.479 387.002 Quantity of inorganic fertilizer applied in the whole season -lt How much [INORGANIC FERTILIZER] did you apply to this [PLOT] in the whole season? 241 559 0.001 30 1.083 2.365 Number of times inorganic fertilizer was applied on this plot Whatis the number of times [INORGANIC FERTILIZER] was applied on this [PLOT NAME]? 800 0 1 24 1.821 1.898 Source of inorganic fertilizer: Home made How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 800 0 0 No 800 1 Yes 0 Source of inorganic fertilizer: Purchased How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 800 0 0 No 37 1 Yes 763 Source of inorganic fertilizer: Received for free How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 800 0 0 No 768 1 Yes 32 method of obtaining inorganic fertilizer:Other How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 800 0 0 No 797 1 Yes 3 Quantity of applied inorganic fertilizer that was purchased - kg Out of the [INORGANIC FERTILIZER QUANTITY], how much of the [INORGANIC FERTILIZER TYPE] applied to [PLOT NAME] was purchased? 522 278 0.25 2500 103.275 393.587 Quantity of applied inorganic fertilizer that was purchased - lt Out of the [INORGANIC FERTILIZER QUANTITY], how much of the [INORGANIC FERTILIZER TYPE] applied to [PLOT NAME] was purchased? 234 566 0.001 500 5.307 46.087 Unit price of 1 kg of inorganic fertilizer purchased What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 522 278 0.02 18000000 129627.013 1255000.189 Unit price of 1 lt of inorganic fertilizer purchased What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 234 566 2000 30000000 1393099.487 3803748.575 Sampling weight 800 0 Sampling weight Household unique identifier 2135 0 Household unique identifier and roster key Parcel unique identifier 2135 0 Parcel unique identifier and roster key Plot unique identifier 2135 0 Plot unique identifier and roster key Pesticide unique identifier Did you use any of these pesticides on this [PLOT NAME] during this agricultural season? 2135 0 Pesticide unique identifier and roster key 1 Herbicides 628 2 Insecticides 1201 3 Fungicides 299 4 Rodenticides 7 Zardi 2135 0 Zardi name 1 Abi 54 10 Rwebitaba 206 2 Buginyanya 445 3 Bulindi 309 4 Kachwekano 213 5 Mukono 526 6 Ngetta 57 7 Nubin 2 8 Serere 156 9 Mbarara 167 Sub-region 2135 0 Subregion name 1 South Buganda 211 2 North Buganda 398 3 Busoga 85 4 Bukedi 199 5 Elgon 161 6 Teso 156 7 Karamoja 2 8 Lango 20 9 Acholi 37 10 West Nile 54 11 Bunyoro 309 12 Tooro 206 13 Ankole 84 14 Kigezi 213 Region 2135 0 Region name 1 Central Region 609 2 Eastern Region 601 3 Northern Region 113 4 Western Region 812 Quantity of pesticide applied in the whole season -kg How much [PESTICIDE TYPE] did you apply to this [PLOT NAME]? 351 1784 0.0015 100 2.857 7.083 Quantity of pesticide applied in the whole season -lt How much [PESTICIDE TYPE] did you apply to this [PLOT NAME]? 1739 396 0.001 500 2.556 21.476 Number of times pesticide was applied on this plot How many times did you apply [PESTICIDE TYPE] on [PLOT NAME]? 2135 0 1 105000 73.098 2331.273 Source of pesticide: Purchased How did you obtain the [PESTICIDE TYPE] that was used? 2135 0 0 No 41 1 Yes 2094 Source of pesticide: Received for free How did you obtain the [PESTICIDE TYPE] that was used? 2135 0 0 No 2091 1 Yes 44 Source of pesticide: Other How did you obtain the [PESTICIDE TYPE] that was used? 2135 0 0 No 2135 1 Yes 0 Quantity of applied pesticide that was purchased - kg How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 345 1790 0.001 100 3.103 7.588 Quantity of applied pesticide that was purchased - lt How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 1701 434 0.0005 150 1.545 5.384 Unit price of 1 kg of pesticide purchased What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 345 1790 3 90000000 1401859.139 5765383.655 Unit price of 1 lt of pesticide purchased What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 1702 433 1 150000000 1933461.894 7370101.45 Sampling weight 2135 0 Sampling weights Household unique identifier 6167 0 Household unique identifier and roster key Activity unique identifier During the last agricultural season, between August 2018 and Feb 2019, in which of the following activities did you or any household members participate in? 6167 0 Activity unique identifier and roster key 1 Land preparation 1657 10 Harvesting, threshing, bailing, picking, uprooting 756 11 Transporting produce from farm to home/store 381 12 Transporting produce from farm/home/store to market 113 13 Drying, packing and storage 63 2 Planting 1082 3 Weeding 1615 4 Mulching 54 5 Fertilizing/manure application 99 6 Spraying 202 7 Irrigation/watering 4 8 Pruning 102 9 Guarding of the garden 36 99 Other (specify) 3 Zardi 6167 0 Zardi name 1 Abi 308 2 Buginyanya 1125 3 Bulindi 513 4 Kachwekano 508 5 Mukono 889 6 Ngetta 846 7 Nubin 22 8 Serere 400 9 Mbarara 822 10 Rwebitaba 734 Sub-region 6167 0 Subregion name 1 South Buganda 411 2 North Buganda 636 3 Busoga 375 4 Bukedi 310 5 Elgon 440 6 Teso 400 7 Karamoja 22 8 Lango 424 9 Acholi 422 10 West Nile 308 11 Bunyoro 513 12 Tooro 734 13 Ankole 664 14 Kigezi 508 Region 6167 0 Region name 1 Central Region 1047 2 Eastern Region 1525 3 Northern Region 1176 4 Western Region 2419 Total amount paid to hired labourers (SHS) 6167 0 0 6000000 91901.437 200927.059 Total amount of in-kind payments paid to hired labourers What was the amount of in-kind payments paid to hired labourers for performing [ACTIVITY NAME] in the last agricultural season (in SHS)? 6167 0 0 1200000 9909.808 52077.614 0 No payment in kind Sampling weight 6167 0 Sampling weight Household unique identifier 12508 0 Household unique identifier and roster key Livestock category unique identifier 12508 0 Livestock category unique identifier and roster key 101 Calves (9 months or younger) 926 103 Bulls 713 105 Steers 76 107 Oxen 344 109 Heifers 539 111 Cows 1333 114 Donkeys 16 201 Goats 2706 204 Sheep 551 206 Pigs 1450 301 Chicken Broilers 1781 303 Chicken Layers 1604 306 Turkeys, Ducks or Geese 367 308 Rabbits 102 Livestock type 12508 0 Type of livestock id 1 Large animal 3947 2 Small animal 4707 3 Poultry 3854 Zardi 12508 0 Zardi name 1 Abi 1108 2 Buginyanya 2442 3 Bulindi 874 4 Kachwekano 601 5 Mukono 1372 6 Ngetta 1908 7 Nubin 786 8 Serere 1347 9 Mbarara 1195 10 Rwebitaba 875 Sub-region 12508 0 Subregion name 1 South Buganda 468 2 North Buganda 1085 3 Busoga 859 4 Bukedi 779 5 Elgon 804 6 Teso 1347 7 Karamoja 786 8 Lango 996 9 Acholi 912 10 West Nile 1108 11 Bunyoro 874 12 Tooro 875 13 Ankole 1014 14 Kigezi 601 Region 12508 0 Region name 1 Central Region 1553 2 Eastern Region 3789 3 Northern Region 3802 4 Western Region 3364 Number of animals currently raised/kept by the household How many [LIVESTOCK TYPE] are raised/kept by you or your household now? 12507 1 0 100 4.175 6.598 Number of animals kept/raised owned by the household Out of these [LIVESTOCK TYPE] kept/raised, how many [LIVESTOCK TYPE] are owned by you or your household now? 11106 1402 0 100 4.334 6.078 0 None Number of animals kept/raised which are exotic or cross-breed Out of these [LIVESTOCK TYPE] kept/raised, how many [LIVESTOCK TYPE] are exotic or cross-breed? 8891 3617 0 90 0.507 3.035 0 None Number of animals kept/raised owned by women in the household How many of the [LIVESTOCK TYPE NUMER] kept belong to women? 10562 1946 0 100 1.816 4.167 0 None Household owns livestock kept by someone else outside the hh Do you or any member of your household own any [LIVESTOCK TYPE] kept by someone else outside this household? 12508 0 0 No 11730 1 Yes 778 Number of animals kept by someone else How many of such [LIVESTOCK TYPE ] are owned by you or your household, but are kept by someone else? 777 11731 1 100 3.284 4.925 Number of animals kept/raised [NUMBER OF MONTHS] months ago How many [LIVESTOCK TYPE] did you keep exactly [NUMBER OF MONTHS] months ago? 9284 3224 0 700 4.265 12.3 0 None Number of animals born during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, how many [LIVESTOCK TYPE] were born to the household? 6762 5746 0 80 2.073 4.557 0 None Number of animals received as gift during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, how many [LIVESTOCK TYPE] were received as gifts, dowry or in-kind payment? 9284 3224 0 100 0.0501 1.093 0 None Number of animals bought during the last [NUMBER OF MONTHS] months 9284 3224 0 170 0.261 1.983 0 None Price of last animal bought - SHS What was the price of the last [LIVESTOCK TYPE] you bought? 1951 10557 1100 4500000 167970.938 297462.342 Number of animals given as gift during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, how many [LIVESTOCK TYPE] were given away as gifts, dowry or in-kind payment? 9283 3225 0 105 0.109 1.292 0 None Number of animals died during the last [NUMBER OF MONTHS] months 9284 3224 188 1.236 4.823 0 None Household sold any animal during the last [NUMBER OF MONTHS] months 12500 8 0 No 9625 1 Yes 2779 98 Don't know 96 Sysmiss 8 Number of animals sold during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, how many [LIVESTOCK TYPE] did you/the household sell? 1877 10631 1 620 3.92 20.372 0 None Price of last animal sold- SHS What was the price in SHS of the last [LIVESTOCK TYPE] you sold? 2776 9732 150 2700000 226377.684 343651.946 ID of household member deciding how to use earnings from livestock sales:1 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 2780 9728 1 2411 2 312 3 13 4 13 5 6 6 8 7 5 8 3 9 2 10 4 12 3 Sysmiss 9728 ID of household member deciding how to use earnings from livestock sales:2 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 1347 11161 1 6 2 1240 3 29 4 20 5 13 6 14 7 12 8 8 9 4 12 1 Sysmiss 11161 ID of household member deciding how to use earnings from livestock sales:3 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 25 12483 2 1 3 4 4 4 5 3 6 7 7 1 8 3 11 1 13 1 Sysmiss 12483 ID of household member deciding how to use earnings from livestock sales:4 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 4 12504 3 1 6 1 7 1 13 1 Sysmiss 12504 ID of household member deciding how to use earnings from livestock sales:5 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 2 12506 4 1 8 1 Sysmiss 12506 ID of household member deciding how to use earnings from livestock sales:6 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 1 12507 9 1 Sysmiss 12507 ID of household member deciding how to use earnings from livestock sales:7 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 1 12507 10 1 Sysmiss 12507 ID of household member deciding how to use earnings from livestock sales:8 Among household members, who decided how to use the earnings from the sale of [LIVESTOCK TYPE]? 1 12507 11 1 Sysmiss 12507 Household slaughtered any animal during the last [NUMBER OF MONTHS] months During the [NUMBER OF MONTHS] months, did the household slaughter any [LIVESTOCK TYPE] either at a slaughter center or home? 12492 16 0 No 11018 1 Yes 1474 Sysmiss 16 Number of animals slaughtered during the last [NUMBER OF MONTHS] months How many [LIVESTOCK TYPE] did you slaughter during the last [NUMBER OF MONTHS] months? 827 11681 1 20 2.389 2.354 0 None ID of household member deciding how to dispose of livestock:1 12502 6 1 10879 2 1380 3 54 4 36 5 33 6 31 7 28 8 23 9 10 10 9 11 3 12 10 13 6 Sysmiss 6 ID of household member deciding how to dispose of livestock:2 6352 6156 1 37 2 5765 3 106 4 98 5 77 6 84 7 84 8 30 9 43 10 16 11 3 12 4 13 5 Sysmiss 6156 ID of household member deciding how to dispose of livestock:3 239 12269 1 5 2 3 3 29 4 31 5 31 6 33 7 35 8 32 9 29 10 8 11 2 12 1 Sysmiss 12269 Main purpose of keeping/raising livestock 12507 1 1 Food for household consumption 1135 2 Sale of animals or livestock product 8076 3 As a source for manure 112 4 Draught power / transport / ploughin 446 5 Raise them to maturity 2628 6 Kept for mating 82 7 Kept as form of saving 11 99 Other 17 Sysmiss 1 Sampling weight 12508 0 Sampling weights Household unique identifier 8400 0 Household unique identifier and roster key Animal category unique identifier LIVESTOCK GROUP NAME 8400 0 Animal category unique identifier and roster key 1 Cattle and Pack animals 1847 2 Small Ruminants 3513 3 Poultry 3040 Zardi 8400 0 Zardi name 1 Abi 738 2 Buginyanya 1725 3 Bulindi 591 4 Kachwekano 433 5 Mukono 929 6 Ngetta 1279 7 Nubin 455 8 Serere 790 9 Mbarara 759 10 Rwebitaba 701 Sub-region 8400 0 Subregion name 1 South Buganda 334 2 North Buganda 717 3 Busoga 629 4 Bukedi 510 5 Elgon 586 6 Teso 790 7 Karamoja 455 8 Lango 700 9 Acholi 579 10 West Nile 738 11 Bunyoro 591 12 Tooro 701 13 Ankole 637 14 Kigezi 433 Region 8400 0 Region name 1 Central Region 1051 2 Eastern Region 2515 3 Northern Region 2472 4 Western Region 2362 Household practiced any controlled mating for livestock during the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, has this household practiced any controlled mating or other breeding strategy for [LIVESTOCK GROUP], such as selection of reproductive animals, artificial insemination, etc? 8400 0 0 No 7620 1 Yes 769 98 11 Household incurred any costs related to mating for livestock during the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS months, has this household incurred any costs related to mating or breeding of [LIVESTOCK GROUP]? 769 7631 0 No 443 1 Yes 325 98 Don't know 1 Sysmiss 7631 Total amount paid for mating livestock - SHS In the past [NUMBER OF MONTHS months, how much has the household paid for mating or breeding services for [LIVESTOCK GROUP] (in SHS)? 325 8075 2000 650000 31704.615 57439.223 Main feeding practice: Grazing/scavenging only 8398 2 0 No 3627 1 Yes 4771 Sysmiss 2 Main feeding practice: Mainly grazing/scavenging with some feeding 8398 2 0 No 6876 1 Yes 1522 Sysmiss 2 Main feeding practice: Mainly feeding with some grazing /scavenging 8398 2 0 No 7789 1 Yes 609 Sysmiss 2 Main feeding practice: Only feeding 8398 2 0 No 7359 1 Yes 1039 Sysmiss 2 Main feeding practice: Tethering with ropes 8398 2 0 No 5561 1 Yes 2837 Sysmiss 2 Main feeding practice: Other 8398 2 0 No 8349 1 Yes 49 Sysmiss 2 Household ever paid to feed its animals during the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, has this household ever paid to feed its [LIVESTOCK GROUP]? 8400 0 0 No 7736 1 Yes 664 Total cost of feed used for animals in the past [NUMBER OF MONTHS] months- SHS What was the total cost of the feed used for [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months (in SHS)? 664 7736 15 55117400 208778.637 2155220.647 Main source of water: Borehole / well In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 2915 1 Yes 5485 Main source of water: Dam In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 8193 1 Yes 207 Main source of water: Public stand In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 8147 1 Yes 253 Main source of water: River/lake/spring/stream In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 5661 1 Yes 2739 Main source of water: Constructed small pan/ponds/valley tanks In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 7923 1 Yes 477 Main source of water: Rainwater harvesting In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 7531 1 Yes 869 Main source of water: Piped onto holdingy In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 8163 1 Yes 237 Main source of water: Other In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 8400 0 0 No 8342 1 Yes 58 Household ever paid for water for livestock during the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, has this household ever paid for water for[LIVESTOCK GROUP]? 8398 2 0 No 7696 1 Yes 665 98 Don't know 37 Sysmiss 2 Total amount paid for water for animals in the past [NUMBER OF MONTHS] months - SHS 665 7735 100 2600000 27080.075 143615.662 Household has vaccinated any animal in the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, has this household vaccinated any [LIVESTOCK GROUP]? 8399 1 0 No 198 1 Yes, all of them 2075 2 Yes, some of them 0 98 Don't know 6126 Sysmiss 1 Total cost of vaccination in the past [NUMBER OF MONTHS] months? What was the total cost of vaccination, including vaccine and professional fees for [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 2266 6134 0 2240000 24574.095 79447.995 0 None / Received for free Household has treated any animal for parassites in the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, has this household treated [LIVESTOCK GROUP] against internal and external parasites? 8399 1 0 No 5996 1 Yes 2403 98 Don't know 0 Sysmiss 1 Total cost of treatments for parassites in the past [NUMBER OF MONTHS] months? What was the total cost of anti-parasite treatments for [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 2392 6008 0 3180000 39340.594 163821.744 0 None / Received Services for Free Household has received any curative treatment for livestock in the last [NUMBER OF MONTHS] month In the past [NUMBER OF MONTHS] months, have [LIVESTOCK GROUP] received any curative treatment? 8398 2 0 No 6675 1 Yes 1723 Sysmiss 2 Total cost of curative treatments in the past [NUMBER OF MONTHS] months? What was the total cost of treatments for [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months (in SHS)? 1719 6681 0 2000000 31137.873 95894.735 0 None / Received for free Use of Alamycin In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8105 1 Yes 295 Use of Asampro In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8364 1 Yes 36 Use of Betamox In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8326 1 Yes 74 Use of Dipen In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8176 1 Yes 224 Use of Gentamycin In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8281 1 Yes 119 Use of Hitet 120 In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8109 1 Yes 291 Use of Limoxin In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8374 1 Yes 26 Use of Norodine In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8240 1 Yes 160 Use of Oxystar In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8252 1 Yes 148 Use of Oxytet In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8207 1 Yes 193 Use of Oxytetracycline In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 7570 1 Yes 830 Use of Oxytravet Powder In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8371 1 Yes 29 Use of Penstrep In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8130 1 Yes 270 Use of Tetroxy In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8315 1 Yes 85 Use of Tylosin In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8303 1 Yes 97 Use of other antibiotics In the past [NUMBER OF MONTHS] months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 8400 0 0 No 8268 1 Yes 132 Main purpose of giving antibiotics to livestock What was the main purpose for giving antibiotics to [LIVESTOCK GROUP]? 2059 6341 1 Curative treatment 970 2 To promote animal growth 129 3 As a preventive measure against disease 694 4 For vaccination purposes 230 98 Don't know 19 99 Other (Specify) 17 Sysmiss 6341 How often household gave antibiotics to livestock in the last [NUMBER OF MONTHS] months In the last [NUMBER OF MONTHS] months, how often did you give antibiotics to your [LIVESTOCK GROUP]? 2059 6341 1 Regularly, at least once per week 58 2 Regularly, at least once per month 312 3 Occasionally 1140 4 Once 513 98 Don't know/don't remember 36 Sysmiss 6341 Who gave advice to use antibiotics for livestock Who gave you advice to use antibiotics for [LIVESTOCK GROUP]? 2059 6341 1 NGO (Non Government Org) 7 2 Public Veterinary Officer 351 3 Private Veterinary Officer 886 4 Extension worker 96 5 Input dealer (drug shop, pharmacy) 226 6 My own decision - consulted no one 455 99 Other (Specify) 38 Sysmiss 6341 Number of household members that worked to keep/herd/milk livestock in the last month How many household members worked to keep, herd, milk [LIVESTOCK GROUP] in the last month? 8398 2 0 11 1.858 1.294 Average number of days worked by household members during last month During the past month, what was the AVERAGE number of days worked by the household members to keep, herd, milk [LIVESTOCK GROUP]? 7688 712 0 360 30.022 13.073 Average number of hours per day worked by household members during last month During the past month, how many hours per day on average household members spent to keep, herd, milk [LIVESTOCK GROUP]? 8400 0 0 15 1.745 2.562 Number of hired workers for livestock in the last month How many hired laborers worked to keep, herd, milk [LIVESTOCK GROUP] in the past month? 8399 1 0 3 0.0388 0.221 Average number of days worked by hired workers during last month During the past month, how many hours per day on average hired laborers spent to keep, herd, milk [LIVESTOCK GROUP]? 284 8116 1 93 29.577 7.313 Average number of hours day worked by hired workers during last month How much did you pay in total during the past month for keeping/herding/milking [LIVESTOCK GROUP] (in SHS)? 284 8116 0.5 12 6.322 3.048 Total amount paid to hired workers during the last month -SHS Before we move on, let us revisit antibiotic use in animals briefly. How much do agree with the following statement: If antibiotics are often given to animals, the antibiotic will become less effective in curing sick animals 284 8116 0 600000 66151.412 76183.219 Sampling weight 8400 0 Sampling weight Household unique identifier 1366 0 Household unique identifier and roster key Animal unique identifier LIVESTOCK GROUP CODE 1366 0 Animal category unique identifier and roster key Cattle and pack animals Cattle and pack animals Poultry Poultry Small ruminants Small ruminants Zardi 1366 0 Zardi name 1 Abi 159 2 Buginyanya 285 3 Bulindi 137 4 Kachwekano 37 5 Mukono 132 6 Ngetta 260 7 Nubin 55 8 Serere 97 9 Mbarara 84 10 Rwebitaba 120 Sub-region 1366 0 Subregion name 1 South Buganda 25 2 North Buganda 118 3 Busoga 88 4 Bukedi 92 5 Elgon 105 6 Teso 97 7 Karamoja 55 8 Lango 116 9 Acholi 144 10 West Nile 159 11 Bunyoro 137 12 Tooro 120 13 Ankole 73 14 Kigezi 37 Region 1366 0 Region name 1 Central Region 143 2 Eastern Region 382 3 Northern Region 474 4 Western Region 367 Average live weight of livestock slaughtered in the last [NUMBER OF MONTHS] months What was the live weight, on average, of the [LIVESTOCK GROUP] that was slaughtered in the last [NUMBER OF MONTHS] months (in Kgs)? 998 368 2 2500 14.53 83.845 -98 Don't Know / Don't Remember Household sold animal during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, did the household sell meat from [LIVESTOCK GROUP]? 1366 0 0 No 1313 1 Yes 53 Quantity of produced meat sold during the [NUMBER OF MONTHS] months - kg How much of the [LIVESTOCK GROUP] meat produced did you sell (in Kgs) during the [NUMBER OF MONTHS] months? 53 1313 1 1000 59.943 140.15 -98 Don't Know / Don't Remember Household revenues from selling meat during the last [NUMBER OF MONTHS] months - SHS How much in SHS has this household earned by selling [LIVESTOCK GROUP] meat during the last [NUMBER OF MONTHS] months? 51 1315 10000 6500000 450029.412 974367.582 -98 Don't Know / Don't Remember ID of household member controlling revenues from meat sold - first id Who controls the revenue from [LIVESTOCK GROUP] meat sold during the last [NUMBER OF MONTHS] months? 53 1313 1 44 2 7 4 1 10 1 Sysmiss 1313 ID of household member controlling revenues from meat sold - second id Who controls the revenue from [LIVESTOCK GROUP] meat sold during the last [NUMBER OF MONTHS] months? 16 1350 2 14 5 1 7 1 Sysmiss 1350 Market where most meat was sold during the last [NUMBER OF MONTHS] months In the past [NUMBER OF MONTHS] months, where was most of the meat from [LIVESTOCK GROUP] meat sold? 53 1313 1 Wholesale at the market 2 2 Retail sale at the market 24 3 Wholesale sale at the farm or home 7 4 Retail sale at the farm or home 16 5 Direct delivery to the consumer 4 6 Production Contract 0 99 Other (Specify) 0 Sysmiss 1313 To whom household mainly sold meat in the past [NUMBER OF MONTHS] months To whom did you mainly sell meat from the [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 53 1313 1 Government 0 2 Local organization / Institution 0 3 Private Trader 8 4 Consumer 34 5 Neighbour 11 6 Relative 0 7 Cooperative Union 0 99 Other (Specify) 0 Sysmiss 1313 Household experienced constraints in the commercialization of meat during the last month Has the household experienced constraints in the commercialization of meat from [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 53 1313 0 No 40 1 Yes 13 Sysmiss 1313 Most important constraint concerning the commercialization of meat What was the most important constraint concerning the commercialization of meat from [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 13 1353 1 Poor access to market (e.g. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 2 2 Low profitability (e.g. saturation of the market, low prices) 10 3 Cold chain (e.g. processing, packaging, storage) 0 4 Low production or low quality 1 99 Other (Specify) 0 Sysmiss 1353 Sampling weight 1366 0 Sampling weight Household unique identifier 4224 0 Household unique identifier and roster key Animal unique identifier LIVESTOCK GROUP CODE 4224 0 Animal category unique identifier and roster key 1 cattle and pack animals 1518 2 Small Ruminants 2706 Zardi 4224 0 Zardi name 1 Abi 434 2 Buginyanya 913 3 Bulindi 208 4 Kachwekano 235 5 Mukono 391 6 Ngetta 669 7 Nubin 283 8 Serere 382 9 Mbarara 406 10 Rwebitaba 303 Sub-region 4224 0 Subregion name 1 South Buganda 185 2 North Buganda 276 3 Busoga 321 4 Bukedi 296 5 Elgon 296 6 Teso 382 7 Karamoja 283 8 Lango 311 9 Acholi 358 10 West Nile 434 11 Bunyoro 208 12 Tooro 303 13 Ankole 336 14 Kigezi 235 Region 4224 0 Region name 1 Central Region 461 2 Eastern Region 1295 3 Northern Region 1386 4 Western Region 1082 Household milked any animal during the last [NUMBER OF MONTHS] months 4223 1 0 No 3388 1 Yes 835 Sysmiss 1 Number of animals milked during the past [NUMBER OF MONTHS] months 835 3389 1 69 2.477 4.261 Average number of months were animals were milked 835 3389 1 12 5.24 2.768 Average quantity in liters of milk produced per day During these [NUMBER OF MONTHS] in which the [LIVESTOCK GROUP] were milked, what was the average quantity in LITERS milked per day? 835 3389 0.5 250 6.204 13.115 Household allows calves to suckle directly from the milked animals In general, do you allow the calves to suckle directly from the milked [LIVESTOCK GROUP]? 835 3389 1 No suckling allowed 45 2 Intermittent suckling 599 3 Continuous suckling 191 Sysmiss 3389 Average quantity in liters of produced milk used for hh consumption per day Out of the total milk produced daily from [LIVESTOCK GROUP], on average how many litres are consumed daily by the household in the form of liquid milk? 835 3389 0 25 2.658 2.349 Average quantity in liters of produced milk sold per day Out of the total milk produced daily on average from [LIVESTOCK GROUP], how many litres are sold daily in the form of liquid milk? 835 3389 0 240 3.353 12.228 0 No sales were made Price of one liters of produced milk sold - SHS What is the price of one liter of milk you produced from [LIVESTOCK GROUP]? 339 3885 500 1800 967.994 225.256 Weekly earnings from selling milk - SHS How much did you earn from selling [LIVESTOCK GROUP] milk per week, in SHS? 339 3885 1200 700000 45062.537 84659.383 Average quantity in liters of produced milk converted into processed dairy per d Out of the total milk produced daily on average from [LIVESTOCK GROUP], how much in litres is converted into processed diary products(ghee, yorghurt, etc)? 835 3389 0 8 0.0764 0.551 Weekly earnings from selling processed milk products - SHS 24 4200 0 25000 7104.167 8503.17 Market where most of the milk and milk products is sold Where is most of the milk and milk products from [LIVESTOCK GROUP] sold? 348 3876 1 Wholesale at the market 13 2 Retail sale at the market 48 3 Wholesale sale at the farm or home 58 4 Retail sale at the farm or home 131 5 Direct delivery to the consumer 76 6 Production Contract 20 99 Other (Specify) 2 Sysmiss 3876 Who mostly buys milk and milk products Who mostly buys the milk and milk products from [LIVESTOCK GROUP]? 348 3876 1 Government 0 2 local organization/institution 10 3 private trader 86 4 consumer 184 5 neighbours 61 6 relative 1 7 cooperative union 4 99 Other 2 Sysmiss 3876 ID of household members controlling revenues from selling milk/milk products - f Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 348 3876 1 310 2 28 3 2 4 1 5 1 6 1 7 3 12 1 13 1 Sysmiss 3876 ID of household members controlling revenues from selling milk/milk products - s Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 184 4040 1 2 2 171 3 3 4 2 5 2 6 1 7 2 8 1 Sysmiss 4040 The hh experienced constraints in the commercialization of milk/milk products in Has the household experienced constraints in the commercialization of milk and milk products from [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 348 3876 0 No 204 1 Yes 144 Sysmiss 3876 Most important constraint in the commercialization of milk/milk products 144 4080 1 Poor access to market (eg. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 15 2 Low profitability (saturation of the market, low prices) 82 3 Cold chain (processing, packaging, storage / storage) 6 4 Low production or low quality 36 99 Other 5 Sysmiss 4080 Sampling weight 4224 0 Sampling weight Household unique identifier 3240 0 Household unique identifier and roster key Eggs type unique identifier LIVESTOCK GROUP NAME 3240 0 Animal category unique identifier and roster key 1 Chicken 2873 2 Other poultry 367 Zardi 3240 0 Zardi name 1 Abi 306 2 Buginyanya 721 3 Bulindi 279 4 Kachwekano 120 5 Mukono 325 6 Ngetta 458 7 Nubin 132 8 Serere 321 9 Mbarara 247 10 Rwebitaba 331 Sub-region 3240 0 Subregion name 1 South Buganda 42 2 North Buganda 298 3 Busoga 289 4 Bukedi 195 5 Elgon 237 6 Teso 321 7 Karamoja 132 8 Lango 294 9 Acholi 164 10 West Nile 306 11 Bunyoro 279 12 Tooro 331 13 Ankole 232 14 Kigezi 120 Region 3240 0 Region name 1 Central Region 340 2 Eastern Region 1042 3 Northern Region 896 4 Western Region 962 How many animals laid eggs in the last 3 months How many [LIVESTOCK GROUP] laid eggs in the last 3 months? 3240 0 0 100 1.925 5.641 0 None Number of eggs produced in the last three months - units How many [LIVESTOCK GROUP] eggs did your household produce in the last three months? 2035 1205 1 20160 66.27 621.018 Number of eggs produced in the last three months - trays of 30 units How many [LIVESTOCK GROUP] eggs did your household produce in the last three months? 2035 1205 0.0333 672 2.209 20.701 Sampling weight 3240 0 Sampling weight Household unique identifier 1326 0 Household unique identifier and roster key Product unique identifier Did your household produce any [PRODUCT] during the last 12 months? 1326 0 Animal product unique identifier and roster key 405 Wet skins and hides 40 406 Dry skins and hides 27 407 Honey 16 408 Animal dung 762 409 Animal urine 116 410 Bird droppings 250 411 Manure 115 Zardi 1326 0 Zardi name 1 Abi 23 2 Buginyanya 291 3 Bulindi 23 4 Kachwekano 90 5 Mukono 137 6 Ngetta 17 7 Nubin 22 8 Serere 331 9 Mbarara 338 10 Rwebitaba 54 Sub-region 1326 0 Subregion name 1 South Buganda 105 2 North Buganda 71 3 Busoga 32 4 Bukedi 70 5 Elgon 189 6 Teso 331 7 Karamoja 22 8 Lango 1 9 Acholi 16 10 West Nile 23 11 Bunyoro 23 12 Tooro 54 13 Ankole 299 14 Kigezi 90 Region 1326 0 Region name 1 Central Region 176 2 Eastern Region 622 3 Northern Region 62 4 Western Region 466 Number of months in which hh produced product during the last 12 months During the last 12 months, for how many months did your household produce [PRODUCT NAME]? 1326 0 1 12 9.717 3.845 Average quantity of product produced per month During these [NUMBER OF MONTHS], what was the average quantity of [PRODUCT NAME] produced PER MONTH? 1326 0 1 600 6.606 26.736 Unit of measure for quantity produced What was the unit of the quantity for [PRODUCT NAME] production per month? 1326 0 1 Number/Count 66 2 Kilogram 146 3 Litre 126 4 Wheel barrow 382 5 Pickup truck 27 7 Truck Elf 28 11 Sack (120 kgs) 27 12 Sack (100 kgs) 236 13 Sack (80 kgs) 16 14 Sack (50 kgs) 71 15 Basin 195 99 Other 6 Average quantity of produced product used by the household per month During these months, what was the quantity of [PRODUCT NAME] used by the household PER MONTH on average? 1325 1 0 600 5.292 21.395 Unit of measure for quantity consumed What was the unit of the quantity for [PRODUCT NAME] for household consumption/use per month? 1326 0 1 Number/Count 76 2 Kilogram 151 3 Litre 124 4 Wheel barrow 384 5 Pickup truck 18 7 Truck Elf 24 11 Sack (120 kgs) 24 12 Sack (100 kgs) 242 13 Sack (80 kgs) 16 14 Sack (50 kgs) 76 15 Basin 177 99 Other 14 Household sold any produce during the last 12 months Did the household sell any [PRODUCT NAME] that it produced in the last 12 months? 1326 0 0 No 1242 1 Yes 84 Total quantity of produced product sold during the last 12 months How much of the TOTAL [PRODUCT NAME] produced did your household sell in the last 12 months? 84 1242 1 5000 72.964 546.446 Unit of measure for quantity sold What was the unit of quantity for the sales of [PRODUCT NAME]? 84 1242 1 Number/Count 29 2 Kilogram 3 3 Litre 10 4 Wheel barrow 3 5 Pickup truck 4 7 Elf Truck 14 8 Forward Truck 2 9 Fuso Truck 1 11 Sack (120 kgs) 4 12 Sack (100 kgs) 11 13 Sack (80 kgs) 1 14 Sack (50 kgs) 1 99 Other 1 Sysmiss 1242 Total value earned from selling product during the last 12 months - SHS What was the total value in SHS earned from the sale of [PRODUCT NAME] in the last 12 months? 84 1242 1500 2400000 187517.857 428357.605 ID of household member deciding what to do with earnings - first id Who in your household kept/decided what to do with the earnings from [PRODUCT NAME]? 84 1242 1 70 2 8 3 1 7 1 9 2 10 2 Sysmiss 1242 ID of household member deciding what to do with earnings - second id Who in your household kept/decided what to do with the earnings from [PRODUCT NAME]? 25 1301 2 20 4 1 5 1 6 1 7 2 Sysmiss 1301 Household made expenditures for proction during the last 12 months Did you incur any expenses, such as labor costs, additional inputs, transport, etc. in the production of [PRODUCT NAME] in the last 12 months? 1326 0 0 No 1310 1 Yes 12 98 Don't know 4 Total amount of expenditures during the last 12 months - SHS What was the total value in SHS of these additional expenses in SHS? 12 1314 10000 360000 74166.667 103050.591 Sampling weight 1326 0 Sampling weight Household unique identifier 21938 0 Household unique identifier and roster key information unique identifier Between January 2018 and December 2018, did you or the household receive information on [INFORMATION TYPE]? 21938 0 Type of information unique identifier and roster key 1 weather 3414 2 crop varieties 2902 3 crop diseases 3529 4 new agricultural practices 1663 5 farm machinery 588 6 credit facilities 1544 7 prices of commodities 3170 8 where to sell the production 2675 9 livestock 2453 Zardi 21938 0 Zardi name 1 Abi 855 2 Buginyanya 4977 3 Bulindi 1798 4 Kachwekano 1535 5 Mukono 2945 6 Ngetta 2706 7 Nubin 489 8 Serere 1977 9 Mbarara 2822 10 Rwebitaba 1834 Sub-region 21938 0 Subregion name 1 South Buganda 1788 2 North Buganda 1752 3 Busoga 1856 4 Bukedi 1800 5 Elgon 1321 6 Teso 1977 7 Karamoja 489 8 Lango 919 9 Acholi 1787 10 West Nile 855 11 Bunyoro 1798 12 Tooro 1834 13 Ankole 2227 14 Kigezi 1535 Region 21938 0 Region name 1 Central Region 3540 2 Eastern Region 6954 3 Northern Region 4050 4 Western Region 7394 Main source of agricultural information What was the main source you / your household used for receiving information on [INFORMATION TYPE]? 21937 1 1 Radio 10375 2 Television 535 3 Telephone 117 4 Internet 18 5 Newspapers 50 6 Magazines 5 7 Extension workers 644 8 Farmer to farmer 6272 9 NAADS/Operation wealth creation 127 10 Agricultural shows 88 11 NGOs 355 12 word of mouth/peers 3202 13 Demonstration farms/plots 43 99 Other 106 Sysmiss 1 Other main source of agricultural information OTHER source of infromation on [INFORMATION TYPE] 103 0 Banks and other credit institutions 12 Direct observation 6 Farmer Groups/Cooperatives/self-help group 14 Local institutions 12 Traders 56 Veterinary 3 Sampling weight 21938 0 Sampling weight Household unique identifier 20713 0 Household unique identifier and roster key facility unique identifier 20713 0 Facility unique identifier and roster key 1 Local produce market 3429 10 Local input dealer / farm supply shops 2229 2 District produce market 1120 3 Trading center 5129 4 Nurseries 619 5 Agricultural demonstration farm 291 6 Feeder roads 5010 7 All -year round gravel road 0 8 Tarmac road 2551 9 Community agricultural store 335 Between January 2018 and December 2018, did you or your household have access to the following facilities? Zardi 20713 0 Zardi name 1 Abi 898 2 Buginyanya 3802 3 Bulindi 1517 4 Kachwekano 1436 5 Mukono 2954 6 Ngetta 2934 7 Nubin 717 8 Serere 1245 9 Mbarara 3183 10 Rwebitaba 2027 Sub-region 20713 0 Subregion name 1 South Buganda 1283 2 North Buganda 2094 3 Busoga 1390 4 Bukedi 1309 5 Elgon 1103 6 Teso 1245 7 Karamoja 717 8 Lango 1384 9 Acholi 1550 10 West Nile 898 11 Bunyoro 1517 12 Tooro 2027 13 Ankole 2760 14 Kigezi 1436 Region 20713 0 Region name 1 Central Region 3377 2 Eastern Region 5047 3 Northern Region 4549 4 Western Region 7740 Distance from facility What is the distance in kilometers to the nearest [FACILITY]? 6771 13942 What is the distance in kilometers to the nearest [FACILITY]? 1 2 km or less 2547 2 From 3 to 5 km 2738 3 from 6 to 10 km 1008 4 from 11 to 15 km 260 5 more than 15 km 218 Sysmiss 13942 The original variable has been recoded into classes in order to limit the risk of disclosure Sampling weight 20713 0 254.641 15885.615 1184.114 910.923 Sampling weight Household unique identifier 9654 0 Household unique identifier and roster key Transport mean unique identifier Did you or your household use any of the following means of transport for agricultural activities between January 2018 and December 2018? 9654 0 Transportation mean unique identifier and roster key Zardi 9654 0 Zardi name 1 Abi 810 2 Buginyanya 1995 3 Bulindi 819 4 Kachwekano 482 5 Mukono 1098 6 Ngetta 1375 7 Nubin 348 8 Serere 817 9 Mbarara 994 10 Rwebitaba 916 Sub-region 9654 0 Subregion name 1 South Buganda 616 2 North Buganda 674 3 Busoga 755 4 Bukedi 802 5 Elgon 438 6 Teso 817 7 Karamoja 348 8 Lango 737 9 Acholi 638 10 West Nile 810 11 Bunyoro 819 12 Tooro 916 13 Ankole 802 14 Kigezi 482 Region 9654 0 Region name 1 Central Region 1290 2 Eastern Region 2812 3 Northern Region 2533 4 Western Region 3019 How did you or your hh mainly access transport How did you or your household mainly access [TRANSPORT TYPE] 9653 1 1 Own 7243 2 Borrowed 537 3 Hired 1873 Sysmiss 1 Sampling weight 9654 0 254.641 15885.615 1177.044 890.771 Sampling weight Household unique identifier 636 0 Household unique identifier and roster key Loan's source unique identifier Please list all the sources that provided a loan for agricultural purposes to you/your household between January 2018 and December 2018 636 0 Source of loan unique identifier and roster key 1 Commercial and public credit provides 68 10 Farmer associations 48 2 Government agency/department & NGOs 6 3 Commercial and public credit provides 113 4 Money lenders 12 5 Input suppliers 13 6 Self-help Groups 297 7 Family and friends 55 8 Agricultural product processors 3 9 Agricultural produce traders 14 99 Other 7 Zardi 636 0 Zardi name 1 Abi 85 2 Buginyanya 92 3 Bulindi 44 4 Kachwekano 76 5 Mukono 71 6 Ngetta 93 7 Nubin 24 8 Serere 9 9 Mbarara 84 10 Rwebitaba 58 Sub-region 636 0 Subregion name 1 South Buganda 39 2 North Buganda 48 3 Busoga 18 4 Bukedi 37 5 Elgon 37 6 Teso 9 7 Karamoja 24 8 Lango 1 9 Acholi 92 10 West Nile 85 11 Bunyoro 44 12 Tooro 58 13 Ankole 68 14 Kigezi 76 Region 636 0 Region name 1 Central Region 87 2 Eastern Region 101 3 Northern Region 202 4 Western Region 246 First main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 636 0 0 Reason not specified 4 1 Pay for agricultural labor 359 2 Purchase seeds 172 3 Buy fertilizers 21 4 Buy agro-chemicals 17 5 Buy farm implements and machinery 7 6 Set up an irrigation structure 1 7 Livestock 16 8 Aquaculture (fish farming) 0 9 Apiculture (bee keeping) 0 10 Trading agricultural produce 10 11 Fund land purchase 15 12 Repair agricultural Buildings 0 13 Draught power 3 99 Other (Specify) 11 Second main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 636 0 0 Reason not specified 346 1 Pay for agricultural labor 42 2 Purchase seeds 142 3 Buy fertilizers 34 4 Buy agro-chemicals 28 5 Buy farm implements and machinery 10 6 Set up an irrigation structure 0 7 Livestock 8 8 Aquaculture (fish farming) 0 9 Apiculture (bee keeping) 1 10 Trading agricultural produce 2 11 Fund land purchase 5 12 Repair agricultural Buildings 0 13 Draught power 13 99 Other (Specify) 5 Third main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 636 0 0 Reason not specified 526 1 Pay for agricultural labor 11 2 Purchase seeds 11 3 Buy fertilizers 23 4 Buy agro-chemicals 25 5 Buy farm implements and machinery 7 6 Set up an irrigation structure 2 7 Livestock 14 8 Aquaculture (fish farming) 0 9 Apiculture (bee keeping) 0 10 Trading agricultural produce 3 11 Fund land purchase 2 12 Repair agricultural Buildings 0 13 Draught power 5 99 Other (Specify) 7 What was the duration of the loan received What was the duration of the loan received from [LOAN SOURCE]? 636 0 1 Less than 1 year 580 2 1 to 3 years 54 3 More than 3 years 2 Loan amount received (SHS) What was the loan amount received from [LOAN SOURCE] between January 2018 and December 2018? 550 86 5000 6000000 298490.909 577511.702 ID of household member who received the loan -first Who among the household members received the loan from [LOAN SOURCE]? 636 0 1 436 2 190 3 2 4 2 6 3 7 1 12 1 13 1 ID of household member who received the loan -second Who among the household members received the loan from [LOAN SOURCE]? 55 581 2 54 5 1 Sysmiss 581 Loan amount repaid (SHS) How much of the loan taken from [LOAN SOURCE] has been repaid between January 2018 and December 2018? 550 86 0 5000000 243782.727 488057.655 Household weight 636 0 Sampling weight Household unique identifier 2055 0 Household unique identifier and roster key Fix cost unique identifier Between January 2018 and December 2018, did this household spend money on the following..? 2055 0 Fixed cost unique identifier and roster key 1 Rent of buildings for farm use 87 10 Investment on the holding (e.g set up/ repair for irrigation systems, silos, barns, etc) 10 2 Rent of land for agriculture 1079 3 Interest on agricultural loans 281 4 Agricultural insurance 0 5 Lincences, fees and other statutory permits 9 6 Maintenance and repairs of builldings for farm use 38 7 Purchase or repair vehicle/tractor/equipment 338 8 Water for crop irrigation 197 9 Electricity for agricultural purposes 6 99 Other (specify) 10 Zardi 2055 0 Zardi name 1 Abi 98 2 Buginyanya 325 3 Bulindi 193 4 Kachwekano 137 5 Mukono 243 6 Ngetta 337 7 Nubin 16 8 Serere 152 9 Mbarara 391 10 Rwebitaba 163 Sub-region 2055 0 Subregion name 1 South Buganda 161 2 North Buganda 152 3 Busoga 117 4 Bukedi 103 5 Elgon 105 6 Teso 152 7 Karamoja 16 8 Lango 84 9 Acholi 253 10 West Nile 98 11 Bunyoro 193 12 Tooro 163 13 Ankole 321 14 Kigezi 137 Region 2055 0 Region name 1 Central Region 313 2 Eastern Region 477 3 Northern Region 451 4 Western Region 814 Total amount paid for fix cost (SHS) How much money did the household spend on [EXPENDITURE TYPE] between January 2018 and December 2018 (in SHS)? 2053 2 400 4000000 166784.015 366575.748 Sampling weight 2055 0 254.641 8795.493 1075.517 719.672 Sampling weight Household unique identifier 6734 0 Household unique identifier and roster key Shock unique identifier Did the household experience any of the following shocks between January 2018 and December 2018? 6734 0 shock category unique identifier and roster key 1 Floods and tidal waves 404 2 Drought 3507 3 Hailstorms 314 4 Pests/diseases outbreak 1531 5 Erratic or heavy rains 422 6 Insecurity 175 7 Illness or disease in the household 298 9 Other (specify) 83 Zardi 6734 0 Zardi name 1 Abi 554 2 Buginyanya 1289 3 Bulindi 471 4 Kachwekano 258 5 Mukono 603 6 Ngetta 1154 7 Nubin 489 8 Serere 827 9 Mbarara 662 10 Rwebitaba 427 Sub-region 6734 0 Subregion name 1 South Buganda 483 2 North Buganda 316 3 Busoga 444 4 Bukedi 410 5 Elgon 435 6 Teso 827 7 Karamoja 489 8 Lango 603 9 Acholi 551 10 West Nile 554 11 Bunyoro 471 12 Tooro 427 13 Ankole 466 14 Kigezi 258 Region 6734 0 Region name 1 Central Region 799 2 Eastern Region 2116 3 Northern Region 2197 4 Western Region 1622 Extent of damage on crop or livestock production What was the extent of damage of [SHOCK] on crop or livestock production? 6730 4 1 None 30 2 Slight 763 3 Moderate 2287 4 Severe 3650 Sysmiss 4 Main response of the hh to shock What was the main response of the household to [SHOCK]? 6731 3 1 Sold land and/or buildings 14 2 Sold crops and/or livestock 491 3 Sold holding's other assets e.g. machinery and equipment 20 4 Found other work, not on the holding 1084 5 Received help from Government 54 6 Received help from NGOs or other organizations 36 7 Received help from relatives 514 8 Reduced expenses for the holding (labour costs, capital costs, etc.) 61 9 Reduced expenses for the household (on health, education, etc.) 23 10 Borrowed money/got a loan 147 11 Did nothing 4130 99 Other (Specify) 157 Sysmiss 3 Sampling weight 6734 0 Sampling weight Household unique identifier 967 0 Household unique identifier and roster key Information source unique identifier Between January 2018 and December 2018, was the advice/information about agricultural activities provided by...? 967 0 Extension service source unique identifier and roster key 1 Local Government 497 2 Input Supplier 52 3 Non Government Organization (NGO) 236 4 Cooperative/Farmer's Association 121 5 Model Farmers 50 99 Other (Specify) 11 Zardi 967 0 Zardi name 1 Abi 70 2 Buginyanya 191 3 Bulindi 59 4 Kachwekano 71 5 Mukono 159 6 Ngetta 158 7 Nubin 29 8 Serere 16 9 Mbarara 109 10 Rwebitaba 105 Sub-region 967 0 Subregion name 1 South Buganda 74 2 North Buganda 111 3 Busoga 55 4 Bukedi 75 5 Elgon 61 6 Teso 16 7 Karamoja 29 8 Lango 21 9 Acholi 137 10 West Nile 70 11 Bunyoro 59 12 Tooro 105 13 Ankole 83 14 Kigezi 71 Region 967 0 Region name 1 Central Region 185 2 Eastern Region 207 3 Northern Region 257 4 Western Region 318 Method to aquire advice: Household member traveled to service provider How was the advice/information from [SOURCE] acquired: Household member travelled to the service provider 967 0 0 No 281 1 Yes 686 Method to aquire advice: Service provider visited the household/farm How was the advice/information from [SOURCE] acquired: Service provider visited the household 967 0 0 No 651 1 Yes 316 ID of first household member receiving advice/information Which household members received advice/information from [SOURCE]? 967 0 1 725 2 210 3 12 4 8 5 3 6 2 7 4 8 1 10 1 11 1 ID of second household member receiving advice/information Which household members received advice/information from [SOURCE]? 135 832 2 125 3 2 4 1 5 2 6 2 9 1 10 2 Sysmiss 832 ID of third household member receiving advice/information Which household members received advice/information from [SOURCE]? 9 958 2 1 3 2 4 1 6 1 7 1 9 1 10 1 13 1 Sysmiss 958 ID of fourth household member receiving advice/information Which household members received advice/information from [SOURCE]? 4 963 3 1 9 1 12 1 13 1 Sysmiss 963 Information on items:agricultural production Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 168 1 Yes 799 Information on items:agricultural prices Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 661 1 Yes 306 Information on items:agro-processing Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 810 1 Yes 157 Information on items:crop marketing Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 722 1 Yes 245 Information on items:livestock marketing Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 825 1 Yes 142 Information on items:fish production Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 935 1 Yes 32 Information on items:livestock production: Meat Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 858 1 Yes 109 Information on items:livestock production: Milk/eggs Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 849 1 Yes 118 Information on items:livestock breeding/feeding/watering Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 770 1 Yes 197 Information on items:control of livestock/crop diseases Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 560 1 Yes 407 Information on items:safe use and handling of agricultural chemicals Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 770 1 Yes 197 Information on items:agricultural input use Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 672 1 Yes 295 Information on items:labour-rights related aspects (child labour, gender equalit Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 916 1 Yes 51 Information on items:entrepreneurship and business Did the [SOURCE] provide advice/information on the following....? 967 0 0 No 854 1 Yes 113 Has any household member sought agricultural advice 967 0 0 No 572 1 Yes 390 98 Don't know 5 Num of on demand visits to the hh Between January 2018 and December 2018,how many times did anyone from [SOURCE] visit the household to provide advise on demand? 390 577 0 12 1.018 1.591 Num of on routine visits to the hh Between January 2018 and December 2018, how many times did anyone from [SOURCE] visit the household on routine basis? 390 577 0 15 0.777 1.802 Num of visits from hh members to information source Between January 2018 and December 2018, how many times did anyone in the household visit the [SOURCE] to receive extension services? 967 0 0 24 1.599 1.78 Did anyone in the hh pay anything to receive advice Between January 2018 and December 2018, did anyone in the household pay anything in order to receive advice from [SOURCE]? 967 0 0 No 857 1 Yes 105 98 Don't know 5 Services paid for:agricultural production Which services was [SOURCE] paid for? 105 862 0 No 60 1 Yes 45 Sysmiss 862 Services paid for:agricultural prices Which services was [SOURCE] paid for? 105 862 0 No 90 1 Yes 15 Sysmiss 862 Services paid for:agro-processing Which services was [SOURCE] paid for? 105 862 0 No 97 1 Yes 8 Sysmiss 862 Services paid for:crop marketing Which services was [SOURCE] paid for? 105 862 0 No 98 1 Yes 7 Sysmiss 862 Services paid for:livestock marketing Which services was [SOURCE] paid for? 105 862 0 No 102 1 Yes 3 Sysmiss 862 Services paid for:fish production Which services was [SOURCE] paid for? 105 862 0 No 103 1 Yes 2 Sysmiss 862 Services paid for: meat production Which services was [SOURCE] paid for? 105 862 0 No 100 1 Yes 5 Sysmiss 862 Services paid for:milk/eggs production Which services was [SOURCE] paid for? 105 862 0 No 95 1 Yes 10 Sysmiss 862 Services paid for:livestock breeding/feeding/watering Which services was [SOURCE] paid for? 105 862 0 No 89 1 Yes 16 Sysmiss 862 Services paid for:control of livestock diseases Which services was [SOURCE] paid for? 105 862 0 No 48 1 Yes 57 Sysmiss 862 Services paid for:safe use and handling of agricultural chemicals Which services was [SOURCE] paid for? 105 862 0 No 90 1 Yes 15 Sysmiss 862 Services paid for:agricultural input use Which services was [SOURCE] paid for? 105 862 0 No 90 1 Yes 15 Sysmiss 862 Services paid for:labour-rights related aspects (ex. child labour, gender equali Which services was [SOURCE] paid for? 105 862 0 No 100 1 Yes 5 Sysmiss 862 Services paid for:entrepreneurship and business Which services was [SOURCE] paid for? 105 862 0 No 97 1 Yes 8 Sysmiss 862 How much in total was paid (SHS) Between January 2018 and December 2018, how much in total was [SOURCE] paid (in SHS)? 105 862 100 700000 47235.238 97494.626 Respondent's rating of agricultural advice How would you rate the advice received from [SOURCE]? 967 0 1 Good 825 2 Average 128 3 Bad 14 Sampling weight 967 0 Sampling weight