UGA_2018_AAS_v01_EN DDI_UGA_2018_AAS_v01_M Uganda Bureau of Statistics Development Economics Data Group 2020-08-12 Metadata Editor Version 01 (December 2021): This metadata was downloaded from Uganda Bureau of Statistics microdata library catalog (https://www.ubos.org/microdata/index.php/catalog). The following two metadata information has been edited – Document and Survey ID. UGA_2018_AAS_v01_M Annual Agricultural Survey 2018 Second Season AAS 2018 - Second Season Uganda Bureau of Statistics (UBOS)Government of Uganda Food and Agriculture Organization (c) 2020, Uganda Bureau of Statistics Government of Uganda US Agency for International Development Metadata Editor Uganda Bureau of Statistics Agricultural Survey [ag/oth] Version 2.1: Edited, anonymized dataset distributed as scientific use file 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 Agricultural households Agricultural households (i.e. agricultural holdings in the household sector) Sample survey data [ssd] Uganda Bureau of Statistics, Directorate of Agriculture and Environmental Statistics 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 PP visit, and the 83% during the PH visit. Uganda Bureau of Statistics (UBOS) 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 0 168 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_4.NSDstat 0 8 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Parcel_Roster.NSDstat 0 43 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Plot_Roster.NSDstat 0 43 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PP_PH_Crop_Roster.NSDstat 0 52 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 16 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 12 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file The name PH_5.3_Disposition_State1 indicates that data contained in this dataset have been collected with section 5.3 of the Post-Harvesting (PH) questionnaire. PH_5.NSDstat 0 12 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file The name PH_5.3_Disposition_State2 indicates that data contained in this dataset have been collected with section 5.3 of the Post-Harvesting (PH) questionnaire. PH_5.NSDstat 0 13 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 19 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 18 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 8 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 37 Nesstar 200801 This file contains information on animal raised by agricultural holdings. Microdata in this file was collected with Sections 5.7.1, 5.7.2, 5.7.3 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 59 Nesstar 200801 This file contains information on quantity and cost of inputs used for livestock. Microdata in this file was collected with Sections 5.8.1, 5.8.2, 5.8.3 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 16 Nesstar 200801 This file contains information on meat production. Microdata in this file was collected with Sections 5.9.1, 5.9.2, 5.9.3 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 23 Nesstar 200801 This file contains information on milk production. Microdata in this file was collected with Sections 5.9.4, 5.9.5 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9.NSDstat 0 9 Nesstar 200801 This file contains information on eggs production. Microdata in this file was collected with Sections 5.9.6 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.9.NSDstat 0 19 Nesstar 200801 This file contains information on other animal products production. Microdata in this file was collected with Sections 5.9.7 of Form 52 (Post-Harvesting questionnaire). The file also contains the sampling weight coefficients. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 8 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 7 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 7 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 14 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 7 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 8 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file PH_5.NSDstat 0 47 Nesstar 200801 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. Uganda Bureau of Statistics (UBOS), Directorate of Agriculture and Environmental Statistics. Edited and anonymized microdata file Household unique identifier 0 0 Household unique identifiers and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Household size 0 0 1 13 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 Household size: number of household members Interview date - Post Planting Visit - Second season 0 0 Interview date - Post Harvesting Visit - Second season 0 0 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? 0 0 0 99 0 Reason not specified 1 No need:soil is fertile enough 2 Fertilizer is of poor quality, counterfeit, bad past experiences 3 Land rented in: no motivation to apply 4 Lack of knowledge on use or benefits of fertilizer 5 Fertilizer use is costly: farmer can't afford 6 Fertilizer not locally available 7 Fertilizer use will not improve crop yield 8 Fertilizers burn crops when rains are low 9 Fertilizers increase the amount of weeds in the garden 10 Fertilizers have negative effects on soil quality and environment 11 Fertilizer application impractical e.g. wetland, too steep 99 Other 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? 0 0 0 99 0 Reason not specified 1 No need:soil is fertile enough 2 Fertilizer is of poor quality, counterfeit, bad past experiences 3 Land rented in: no motivation to apply 4 Lack of knowledge on use or benefits of fertilizer 5 Fertilizer use is costly: farmer can't afford 6 Fertilizer not locally available 7 Fertilizer use will not improve crop yield 8 Fertilizers burn crops when rains are low 9 Fertilizers increase the amount of weeds in the garden 10 Fertilizers have negative effects on soil quality and environment 11 Fertilizer application impractical e.g. wetland, too steep 99 Other 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? 0 0 0 99 0 Reason not specified 1 No need:soil is fertile enough 2 Fertilizer is of poor quality, counterfeit, bad past experiences 3 Land rented in: no motivation to apply 4 Lack of knowledge on use or benefits of fertilizer 5 Fertilizer use is costly: farmer can't afford 6 Fertilizer not locally available 7 Fertilizer use will not improve crop yield 8 Fertilizers burn crops when rains are low 9 Fertilizers increase the amount of weeds in the garden 10 Fertilizers have negative effects on soil quality and environment 11 Fertilizer application impractical e.g. wetland, too steep 99 Other 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes Total amount paid to hh members during the last ag. season (SHS) What was the total amount paid to hired labourers for performing [ACTIVITY NAME] during the last agricultural season (in SHS)? 0 0 2000 1320000 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)? 0 0 0 8 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)? 0 0 1 720 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? 0 0 1 12 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)? 0 0 0 7 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)? 0 0 1 630 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? 0 0 1 12 Number of unpaid external workers working on the holding during last season 0 0 0 18 Total number of days worked by unpaid external workers during last season 0 0 1 360 Length in hours of a typical working day for unpaid external workers 0 0 1 12 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))? 0 0 0 61 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)? 0 0 1 800 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)? 0 0 1 12 Number of female external workers working on the holding during last season How many female hired workers (adults and children) worked on the holding during the last completed season (between August 2018 and Febuary 2019)? 0 0 0 87 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)? 0 0 1 1080 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)? 0 0 1 12 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? 0 0 1000 15000 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? 0 0 300 15000 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? 0 0 0 2 0 No 1 Yes 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 0 0 1 98 1 Fully agree 2 Agree 3 Disagree 4 Completely disagree 98 Don't know Number of eggs sold over the last three months How many eggs in total did you sell in the last three months? Units 0 0 1 702000 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 0 0 0.0333333350718021 23400 Where were most of the eggs sold in the last three months Where were most of the eggs sold in the last three months 0 0 1 99 1 Wholesale sale at the market 2 Retail sale at the market 3 Wholesale sales at the farm or home 4 Retail sales at the farm or home 5 Direct delivery to the consumer 6 Production contract 99 Other (Specify) 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? 0 0 1 99 1 Government 2 Local organization/Institution 3 Private trader 4 Consumer 5 Neighbour 6 Relative 7 Cooperative Union 99 Other (specify) 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)? 0 0 400 58140000 Member of hh controlling the revenue earned from selling eggs: first id Who in the household controls the revenue earned from selling eggs? 0 0 1 12 Member of hh controlling the revenue earned from selling eggs: second id Who in the household controls the revenue earned from selling eggs? 0 0 1 9 The holding has access to any storage facilities Does the holding have access to any storage facilities? 0 0 0 2 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes Household used other storage facility What storage facility(ies) does the holding normally use? (including household-owned and community facilities) (select all that apply) 0 0 0 1 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes HH needed to provide collateral security for these loans Did the household need to provide collateral security for these loans? 0 0 0 2 0 No 1 Yes Household used land title as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used crop production as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used livestock as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used a guarantor as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used salary as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used deposit/savings with the bank as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used household's items as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used a sales agreement as collateral What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes Household used other collaterals What type of collateral security was provided? (tick all that apply) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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) 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes 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? 0 0 0 1 0 No 1 Yes Source of transfers:Friends or relatives, living in the country Who provided the transfers? 0 0 0 1 0 No 1 Yes Source of transfers:Friends or relatives, living outside the country Who provided the transfers? 0 0 0 1 0 No 1 Yes Source of transfers:Others (e.g. employer, religious groups, self-help clubs, et Who provided the transfers? 0 0 0 1 0 No 1 Yes 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? 0 0 5000 2000000 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? 0 0 0 2000000 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? 0 0 0 2 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes Month with food shortage: Jan Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Feb Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Mar Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Apr Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: May Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Jun Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Jul Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Aug Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Sep Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Oct Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Nov Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes Month with food shortage: Dec Between January 2018 and December 2018, in which months did the food shortage occur? 0 0 0 1 0 No 1 Yes First reason for the food shortage What were the main reason for the food shortage? 0 0 0 99 0 Reason not specified 1 Loss of crops/insufficient production 2 Over selling produce 3 Loss of livestock 4 Inability to work because of illness, disability, injury or old age 5 Lack of adequate land 6 Lack of capital 7 Lack of laborers on the farm 8 Lack of job opportunity outside the holding 99 Other Second main reason for the food shortage What were the main reason for the food shortage? 0 0 0 99 0 Reason not specified 1 Loss of crops/insufficient production 2 Over selling produce 3 Loss of livestock 4 Inability to work because of illness, disability, injury or old age 5 Lack of adequate land 6 Lack of capital 7 Lack of laborers on the farm 8 Lack of job opportunity outside the holding 99 Other Third main reason for the food shortage What were the main reason for the food shortage? 0 0 0 99 0 Reason not specified 1 Loss of crops/insufficient production 2 Over selling produce 3 Loss of livestock 4 Inability to work because of illness, disability, injury or old age 5 Lack of adequate land 6 Lack of capital 7 Lack of laborers on the farm 8 Lack of job opportunity outside the holding 99 Other Has the household changed eating patterns as response to food shortage Has the household changed eating patterns as an immediate response to food shortage? 0 0 0 2 0 No 1 Yes Who in the hh has changed eating pattern: Male adults (over 25 years) Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Who in the hh has changed eating pattern: Male youth (age between 14-25) Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Who in the hh has changed eating pattern: Female adults (over 25 years) Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Who in the hh has changed eating pattern: Female youth (age between 14-25) Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Who in the household has changed the eating patterns? 0 0 0 1 0 No 1 Yes Has the household skipped meals as response to food shortage Has the household skipped meals as an immediate response to food shortage? 0 0 0 2 0 No 1 Yes Who in the hh skipped meals: Male adults (over 25 years) Who in the household skipped meals? 0 0 0 1 0 No 1 Yes Who in the hh skipped meals: Male youth (age between 14-25) Who in the household skipped meals? 0 0 0 1 0 No 1 Yes Who in the household skipped meals? 0 0 0 1 0 No 1 Yes Who in the hh skipped meals: Female adults (over 25 years) Who in the household skipped meals? 0 0 0 1 0 No 1 Yes Who in the hh skipped meals: Female youth (age between 14-25) Who in the household skipped meals? 0 0 0 1 0 No 1 Yes Who in the household skipped meals? 0 0 0 1 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes Who in the hh ate less preferred meals: Male adults (over 25 years) Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Who in the hh ate less preferred: Male youth (age between 14-25) Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Who in the hh ate less preferred: Female adults (over 25 years) Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Who in the hh ate less preferred: Female youth (age between 14-25) Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Who in the household ate less preferred meals? 0 0 0 1 0 No 1 Yes Has the household reduced meal size as response to food shortage Has the household reduced meal size as immediate response to food shortage? 0 0 0 2 0 No 1 Yes Who in the hh reduced meals size: Male adults (over 25 years) Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes Who in the hh reduced meals size: Male youth (age between 14-25) Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes Who in the hh reduced meals size: Female adults (over 25 years) Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes Who in the hh reduced meals size: Female youth (age between 14-25) Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes Who in the household has reduced meal size? 0 0 0 1 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes 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? 0 0 0 98 0 No 1 Yes 98 Don't know 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) 0 0 1 10 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) 0 0 2 12 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) 0 0 3 10 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) 0 0 8 12 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) 0 0 9 9 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? 0 0 0 98 0 No 1 Yes 98 Don't know 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? 0 0 0 2 0 No 1 Yes Number of current pending land disputes How many pending land disputes do you or anyone in your household currently have? 0 0 1 4 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? 0 0 0 2 0 No 1 Yes 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? 0 0 1 10 Land dispute with the husband's family With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with the wife's family With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with brother/sister/parents With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with other relatives With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with landlord With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with sqatter/migrant With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with tenant With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with neighbour(s) With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Land dispute with others With whom did you/the household have the dispute? (tick all that apply) 0 0 0 1 0 No 1 Yes Year in which the most recent dispute started In which year did the most recent dispute start? 0 0 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? 0 0 0 2 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes The most recent dispute has been resolved Has the most recent dispute been resolved? 0 0 0 2 0 No, still ongoing 1 Yes Year in which the most recent dispute was resolved In which year was the most recent dispute resolved? 0 0 2008 2019 Most common method in this village/local community of resolving land disputes What is the most common method in this village/local community of resolving land disputes? 0 0 1 99 1 Family 2 Friends/elders 3 Local Council 4 Courts of law 5 Police 98 None 99 Other Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Total area of agricultural households (ha) 0 0 0.000809200049843639 47.3746130689979 Total area of agricultural households Total area with crops of agricultural households (ha) 0 0 0 25.1286821402609 Total area of agricultural households planted with crop Household unique identifier 0 0 Household unique identifier and roster key Enterprise unique identifier 0 0 Crop Growing Crop Growing Livestock/Poultry Rearing Livestock/Poultry Rearing Enterprise unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central 2 Eastern 3 Northern 4 Western Region name Who undertook enterprise Who undertook [ENTERPRISE]? 0 0 1 5 1 Only males 2 Only females 3 Mostly males 4 Mostly females 5 Men and women equally Main purpose of production of enterprise What is the main purpose of production of [ENTERPRISE]? 0 0 1 4 1 Only for sale 2 Mainly for sale with some own consumption 3 Mainly for own consumption and some for sale 4 Only for own consumption Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Location of the parcel Where is the location of [PARCEL NAME]? 0 0 1 5 1 Within ea/village 2 Outside ea/village, within parish 3 Outside parish, within the same subcounty 4 Elsewhere in the Ddistrict 5 Outside the district Household member managing the parcel - first pid Who manages [PARCEL NAME]? (use PIDs) 0 0 1 13 Household member managing the parcel - second pid Who manages [PARCEL NAME]? (use PIDs) 0 0 1 13 Household member managing the parcel - third pid Who manages [PARCEL NAME]? (use PIDs) 0 0 1 13 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? 0 0 0 2 0 No 1 Yes - whole parcel 2 Yes - a proportion of the parcel Proportion of parcel that was bush before this season What proportion of [PARCEL NAME] was bush last season? 0 0 10 90 10 10% 20 20% 25 One quarter 30 30% 40 40% 50 A half 60 60% 70 70% 75 Three quarters 80 80% 90 90% Household's use right on parcel What is the household's use-right on this [PARCEL NAME]? 0 0 1 99 1 Owned 2 Rented for an agreed amount of money 3 Rented for share of produce 4 Rented in exchange for services 5 Borrowed for free 6 Just walked in 7 Leased in 99 Other How household acquired parcel How did your household acquire this [PARCEL NAME] 0 0 1 99 1 Purchased 2 Inherited after the death of a family member 3 Allocated by family 4 Allocated by clan/traditional authority 5 Allocated from Local Government 6 Gift from non-household member 7 Other Government program 8 Squatting 99 Other Year when parcel was acquired In what year was this [PARCEL NAME] acquired? 0 0 -98 2018 -98 Don't Know / Don't Remember Parcel tenure system What is the tenure system on [PARCEL NAME]? 0 0 1 99 1 Freehold 2 Leasehold 3 Mailo 4 Customary 5 Public land 98 Don't know 99 Other 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? 0 0 0 98 0 No 1 Yes 98 Don't know Type of document for parcel (first document) What type of document does your household have for this [PARCEL NAME]? 0 0 1 99 1 Title Deed 2 Certificate of Customary Ownership 3 Certificate of Occupancy 4 Certificate of Hereditary Acquisition 5 Written Sale Agreement 6 Rental Contract 7 Lease Contract 99 Other First document was issued or registered by legal authorities Was this document issued by legal authorities or registered with legal authorities? 0 0 0 98 0 No 1 Yes 98 Don't know 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? 0 0 1 999 1 Yes 2 No, extended family members on the doc. 3 No, neither hh members, nor extended fam. members on doc 98 Don't know 999 Refused to tell 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) 0 0 1 12 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) 0 0 1 10 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) 0 0 1 12 Second official document for parcel Is there a second official document for [PARCEL NAME]? 0 0 0 2 0 No 1 Yes Type of document for parcel (second document) What type of second document does your household have for [PARCEL NAME]? 0 0 1 99 1 Title Deed 2 Certificate of Customary Ownership 3 Certificate of Occupancy 4 Certificate of Hereditary Acquisition 5 Written Sale Agreement 6 Rental Contract 7 Lease contract 99 Other Second document was issued or registered by legal authorities Was this document issued by legal authorities or registered with legal authorities? 0 0 0 3 0 No 1 Yes 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? 0 0 1 999 1 Yes 2 No, extended family members on the doc. 3 No, neither hh members, nor extended fam. members on doc 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) 0 0 1 7 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) 0 0 1 2 Any household's member can sell the parcel Can anyone in the househod decide whether to sell [PARCEL NAME] either alone or with someone else? 0 0 0 2 0 No 1 Yes 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? 0 0 1 13 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? 0 0 1 13 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? 0 0 1 9 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? 0 0 0 2 0 No 1 Yes 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? 0 0 1 13 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? 0 0 1 13 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? 0 0 1 9 Any household's member can bequeath the parcel Can anyone in the household bequeath [PARCEL NAME]? 0 0 0 2 0 No 1 Yes HH member that can decide to bequeat parcel - first pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 0 0 1 13 HH member that can decide to bequeat parcel - second pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 0 0 1 13 HH member that can decide to bequeat parcel - third pid Who in this household can bequeath [PARCEL NAME]? (use PIDs) 0 0 1 13 Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Parcel area with crops - ha 0 0 0 17.6383941173553 Parcel area - ha 'What is the area of [PARCEL NAME] in acres, using GPS device? 0 0 0 40.4599990844727 Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name What stands on plot What stands on [PLOT NAME]? 0 0 1 99 1 Pure stand 2 Mixed stand 3 Intended pure stand (not planted yet) 4 Intended mixed stand (not planted yet) 5 Fallow 6 Left bare after ploughing 7 Farm building or Home Dwelling 8 Pond for aquaculture 9 Grazing land 10 Nurseries 11 Trees 12 Forests 99 Other Main purpose of the farm building/structure on plot What is the main purpose of the farm building/structure on this [PLOT NAME]? 0 0 1 99 1 Dwelling 2 Storing produce 3 Keeping poultry 4 Keeping other livestock 5 Not in use 99 Other Plot was cultivated during the previous season Was this [PLOT NAME] cultivated during the previous season by the household or by another party? 0 0 0 98 0 No 1 Yes 98 Don't know The manager of plot is a member of the household Is the plot manager for [PLOT NAME] a member of this household? 0 0 0 2 0 No 1 Yes ID of household members managing plot: 1 Who among the household members is the manager of [PLOT NAME]? 0 0 1 13 ID of household members managing plot: 2 Who among the household members is the manager of [PLOT NAME]? 0 0 1 13 ID of household members managing plot: 3 Who among the household members is the manager of [PLOT NAME]? 0 0 1 13 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? 0 0 0 2 0 No 1 Yes 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? 0 0 1 13 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? 0 0 1 13 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? 0 0 1 13 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? 0 0 0 2 0 No 1 Yes ID of household members preparing land: 1 Who in the household prepared the land for planting on this [PLOT NAME]? 0 0 1 13 ID of household members preparing land: 2 Who in the household prepared the land for planting on this [PLOT NAME]? 0 0 1 13 ID of household members preparing land: 3 Who in the household prepared the land for planting on this [PLOT NAME]? 0 0 1 13 How was land prepared on plot How was the land preparation done on this [PLOT NAME]? 0 0 1 9 1 Ridge till 2 Mulch till 3 Planting holes/pits 4 Zero tillage/ No tillage 5 Conventional tillage Year in which hh started using this tillage method on plot In which year did you begin using this tillage method on [PLOT NAME]? 0 0 -98 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] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes Used a panga to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes Used an axe to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes Used a Sprayer to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes Used a Tractor to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 0 0 0 1 0 No 1 Yes 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] ? 0 0 0 1 0 No 1 Yes Used other implement to prepare land on plot What are the two main implements used to prepare land for planting on this [PLOT NAME] ? 0 0 0 1 0 No 1 Yes Plot is in a swamp or wetland area Is this [PLOT NAME] in a swamp or wetland area? 0 0 0 2 0 No 1 Yes Irrigation is carried out on plot Is irrigation carried out on this [PLOT NAME]? 0 0 0 2 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes 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? 0 0 0 2 0 No 1 Yes Plot area - cleaned variable - ha Derived variable INTERVIEWER: Measure and record the area of the [PLOT NAME], in acres 0 0 0 40.4599990844727 Plot area with crops - cleaned variable - ha Derived variable 0 0 0 15.011399269104 Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Crop unique identifier What crops are being grown (or will be grown) on [PLOT NAME]? 0 0 Crop unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 0 0 Crop name Crop code What crops are being grown (or will be grown) on [PLOT NAME]? 0 0 22 9219 Crope code Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Percentage of plot area cultivated with crop Approximately what percentage of the [PLOT NAME] area is cultivated (or will be cultivated) with [CROP NAME]? 0 0 1 99 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)? 0 0 0 2 0 No, planted/owned by someone else 1 Yes, planted/owned household Crop has already been planted Has/Have [CROP NAME] already been planted? 0 0 0 2 0 No, crop has not been planted yet 1 Yes, crop has already been planted Month in which household will plant crop In which month will you/your household plant [CROP NAME] on this [PLOT NAME]? 0 0 0 98 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December 98 Don't know Year in which crop was planted In which year was [CROP NAME] planted (or will be planted) on [PLOT NAME]? 0 0 -98 2018 -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]? 0 0 0 98 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December 98 Don't remember/Don't know 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]? 0 0 0 2 0 No 1 Yes Quantity of seeds used for crop - tonnes How much seed did you use for this [CROP NAME] on this [PLOT NAME]? Converted in tonnes 0 0 3.9999998989515e-05 7.5 Main type of seed/seedling used for crop What is the main type of seed/seedling that you used for this [CROP NAME] ON [PLOT NAME]? 0 0 1 98 1 Traditional seeds 2 Improved seeds 98 Don't know 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]? 0 0 1 99 1 Local retail shop/market/kiosk 2 Input supplier 3 Government 4 Farmers group 5 Research center 6 Relative/neighbour 7 Other farmer(s) 8 NGO 99 Other Any seed/seedlings for this crop was purchased Did you purchase any seed/seedlings for this [CROP NAME] on this [PLOT NAME]? 0 0 0 2 0 No 1 Yes 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 0 0 5.00000023748726e-05 0.699999988079071 Is there a second UNIT of measure for seed purchases INTERVIEWER: Is there a second UNIT of measure for seed purchases? 0 0 0 2 0 No 1 Yes 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 0 0 0.00100000004749745 0.0240000002086163 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? 0 0 1800 15000 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? 0 0 0 2 0 No 1 Yes 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 0 0 0.000500000023748726 88 Year in wich crop will be planted In which year will [CROP NAME] be planted on this [PLOT NAME]? 0 0 2018 2021 2018 2018. 2018 2019 2019. 2019 Month in which crop will be planted In which month do you expect to plant [CROP NAME] on this [PLOT NAME]? 0 0 1 12 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December Household harvested all of crop Did you/your household harvest all of [CROP NAME]? 0 0 1 7 1 None of the crop has been harvested yet 2 Some of the crop has been harvested 3 All of the crop has been harvested 4 Most of the crop was destroyed 5 All of the crop was destroyed 6 Crop sold in the garden 7 Crop Does not belong to the Household Condition in which crop was harvested In what condition or state was/were [CROP NAME] harvested in? 0 0 999 921345 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 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 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 0 0 0.000100000004749745 150 Quantity sold of crop in first harvest condition - tonnes How much of the [CROP NAME] did you sell? 0 0 0.000300000014249235 150 Total value of crop sales in first harvest condition - SHS What was the total value of sales of [CROP NAME] in SHS? 0 0 0 118800000 Is there a second state of harvest for crop INTERVIEWER: Is there a second state of harvest for [CROP NAME]? 0 0 0 2 0 No 1 Yes Second condition in which crop was harvested What is the second condition or state [CROP NAME] was harvested in? 0 0 999 921345 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 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 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 second harvest condition - tonnes How much of the [CROP NAME] did you harvest under this second condition? Converted in tonnes 0 0 0.00020000000949949 4.03499984741211 Quantity sold of crop in second harvest condition - tonnes How much of [CROP NAME] did you sell under the second harvest condition? 0 0 0.000899999984540045 1.85280001163483 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? 0 0 800 2240000 Market where crop is sold Where is most of the production of [CROP NAME] sold? 0 0 1 99 1 Wholesale sale at the market 2 Retail sale at the market 3 Wholesale sale at the farm or home 4 Retail sale at the farm or home 5 Direct delivery to the consumer 6 Production Contract 99 Other Main buyer for crop Who is the main buyer for [CROP NAME] in [PLOT]? 0 0 1 99 1 Government 2 Local Organization/Institution 3 Private traders 4 Consumers 5 Neighbours 6 Relatives 7 Cooperative Unions 99 Other 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? 0 0 1 13 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? 0 0 1 13 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]? 0 0 1 3 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]? 0 0 2 6 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 0 0 0.00580000039190054 1.98000001907349 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 0 0 0 303333312 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 0 0 0 60000000 Total quantity harvested of crop - tonnes Derived variable 0 0 0 229.058441162109 Total quantity sold of crop - tonnes Derived variable 0 0 0.000300000014249235 150 Total area under crop in the plot- ha Derived variable 0 0 0.00020230001246091 15.011399269104 Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Yield - tonnes/ha Derived variable Derived variable after data cleaning 0 0 0 179.147857666016 Household unique identifier 0 0 Household unique identifier and roster key Individual unique identifier 0 0 Individual unique identifier and roster key zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name sub_region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Sex of household's member What is the sex of [NAME]? 0 0 1 2 1 Male 2 Female Relationship to household's head What is [NAME]'s relationship to household head? 0 0 1 6 1 Head 2 Spouse 3 Son/Daughter/Step Child 4 Parent 5 Other Relative 6 Non-Relative Residential status of household's member What is the residential status of [NAME]? 0 0 1 3 1 Usual member 2 Regular member 3 Guest Age of household's member How old is [NAME] in completed years? 0 0 0 65 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 22 20-24 27 25-29 32 30-34 37 35-39 42 40-44 47 45-49 52 50-54 57 55-59 62 60-64 65 65+ Marital status of household's member What is [NAME]'s current marital status? 0 0 1 3 1 Married 2 Divorced/Separated/Widowed 3 Never been married Highest level of formal education attended by hh member What is the highest level of formal education that [NAME] attended? 0 0 1 98 1 Nursery or never been to school 2 Primary education 3 Secondary education 4 Above secondary education 98 Don't know Household's member can read and write in any language Can [NAME] read and write in any language? 0 0 0 1 0 No 1 Yes mainEconomic What was [NAME]'s main economic activity in the last 12 months? 0 0 1 9 1 Agricultural activity 2 Trader 3 Artisan - worker in a skilled trade 4 Ag. paid job outside the holding 5 Non-ag. paid job outside the holding 6 No activity - looking for work 7 No activity - not looking for work 8 Student 9 Household work Employment status of household's member In this main activity, was [NAME] a(n)… 0 0 1 8 1 Own Account Worker (independent) 2 Employer 3 Salaried Worker 4 Task Worker 5 Unpaid Family Member 6 Trainee/Volunteer/Intern 8 Member of Cooperative Household's member belong to a farmer group This information was collected only during the post-planting. Does [NAME] belong to a farmers’ group? 0 0 0 1 0 No 1 Yes Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Crop unique identifier 0 0 Crop unique identifier and roster key Disposition unique identifier 0 0 Disposition unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 0 0 Name of crop Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Quantity (tonnes) of produced crop used for disposition How much of the [CROP NAME] was used for [DISPOSITION1]? 0 0 5.96465667968005e-07 19.398868560791 Total amount earned (SHS) from selling processed product Total amount earned in SHS from selling processed product? 0 0 0 5500000 0 processed products not yet sold Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Crop unique identifier 0 0 Crop unique identifier and roster key Disposition unique identifier How was [CROP NAME] disposed of? 0 0 Disposition unique identifier and roster key Crop Name What crops are being grown (or will be grown) on [PLOT NAME]? 0 0 Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Quantity (tonnes) of produced crop used for disposition How much of the [CROP NAME] was used for [DISPOSITION2]? 0 0 1.67161806530203e-06 4.03499937057495 Total amount earned (SHS) from selling processed product Total amount earned in SHS from selling processed product? 0 0 0 54000 0 processed products not yet sold Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Organic fertilizer unique identifier What types of fertilizer did you apply on the plot? 0 0 1 Commercial organic Fertilizer (e.g Fertiplus, Biochar) 2 Animal Droppings 3 Animal Urine 4 Chicken droppings 5 Plant residue/compost 6 Green plant cover crops 7 Ash 8 Municipal waste 9 Sewage/sludge 99 Other (specify) Organic fertilizer unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name source of organic fertilizer:Home made How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes source of organic fertilizer:Purchased How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes source of organic fertilizer:Received for free How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes source of organic fertilizer:Animals on plot overnight How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes source of organic fertilizer:Other How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes Sampling weight 0 0 272.285919189453 8244.62890625 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 0 Plot unique identifier and roster key Inorganic fertilizer unique identifier 0 0 1 CAN (Calcium Ammonium Nitrate) 2 Urea 3 DAP (Diammonium Phosphate) 4 SSP (Single Super Phosphate) 5 TSP (Tipple Super Phosphate) 6 MOP (Muriate of Potash) 7 NPK (Nitrogen Phosphorous Potassium) 9 Other (Specify) Inorganic fertilizer unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Quantity of inorganic fertilizer applied in the whole season -kg How much [INORGANIC FERTILIZER] did you apply to this [PLOT] in the whole season? 0 0 0.25 2500 Quantity of inorganic fertilizer applied in the whole season -lt How much [INORGANIC FERTILIZER] did you apply to this [PLOT] in the whole season? 0 0 0.00100000004749745 30 Number of times inorganic fertilizer was applied on this plot Whatis the number of times [INORGANIC FERTILIZER] was applied on this [PLOT NAME]? 0 0 1 24 Source of inorganic fertilizer: Home made How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes Source of inorganic fertilizer: Purchased How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes Source of inorganic fertilizer: Received for free How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes method of obtaining inorganic fertilizer:Other How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 0 1 0 No 1 Yes 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? 0 0 0.25 2500 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? 0 0 0.00100000004749745 500 Unit price of 1 kg of inorganic fertilizer purchased What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 0 0 0.0199999995529652 18000000 Unit price of 1 lt of inorganic fertilizer purchased What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 0 0 2000 30000000 Sampling weight 0 0 327.204925537109 5827.033203125 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Parcel unique identifier 0 0 Parcel unique identifier and roster key Plot unique identifier 0 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? 0 0 1 Herbicides 2 Insecticides 3 Fungicides 4 Rodenticides Pesticide unique identifier and roster key Zardi 0 0 1 Abi 10 Rwebitaba 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Quantity of pesticide applied in the whole season -kg How much [PESTICIDE TYPE] did you apply to this [PLOT NAME]? 0 0 0.00150000001303852 100 Quantity of pesticide applied in the whole season -lt How much [PESTICIDE TYPE] did you apply to this [PLOT NAME]? 0 0 0.00100000004749745 500 Number of times pesticide was applied on this plot How many times did you apply [PESTICIDE TYPE] on [PLOT NAME]? 0 0 1 105000 Source of pesticide: Purchased How did you obtain the [PESTICIDE TYPE] that was used? 0 0 0 1 0 No 1 Yes Source of pesticide: Received for free How did you obtain the [PESTICIDE TYPE] that was used? 0 0 0 1 0 No 1 Yes Source of pesticide: Other How did you obtain the [PESTICIDE TYPE] that was used? 0 0 0 1 0 No 1 Yes Quantity of applied pesticide that was purchased - kg How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 0 0 0.00100000004749745 100 Quantity of applied pesticide that was purchased - lt How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 0 0 0.000500000023748726 150 Unit price of 1 kg of pesticide purchased What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 0 0 3 90000000 Unit price of 1 lt of pesticide purchased What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 0 0 1 150000000 Sampling weight 0 0 255.680847167969 15885.615234375 Sampling weights Household unique identifier 0 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? 0 0 1 Land preparation 10 Harvesting, threshing, bailing, picking, uprooting 11 Transporting produce from farm to home/store 12 Transporting produce from farm/home/store to market 13 Drying, packing and storage 2 Planting 3 Weeding 4 Mulching 5 Fertilizing/manure application 6 Spraying 7 Irrigation/watering 8 Pruning 9 Guarding of the garden 99 Other (specify) Activity unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Total amount paid to hired labourers (SHS) What was the total amount paid to hired labourers for performing [ACTIVITY NAME] during the last agricultural season (in SHS)? 0 0 0 6000000 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)? 0 0 0 1200000 0 No payment in kind Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Livestock category unique identifier Did you raise/keep any of the following animals in the last [NUMBER OF MONTHS] months? 0 0 101 Calves (9 months or younger) 103 Bulls 105 Steers 107 Oxen 109 Heifers 111 Cows 114 Donkeys 201 Goats 204 Sheep 206 Pigs 301 Chicken Broilers 303 Chicken Layers 306 Turkeys, Ducks or Geese 308 Rabbits Livestock category unique identifier and roster key Livestock type 0 0 1 3 1 Large animal 2 Small animal 3 Poultry Type of livestock id Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Number of animals currently raised/kept by the household How many [LIVESTOCK TYPE] are raised/kept by you or your household now? 0 0 0 100 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? 0 0 0 100 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? 0 0 0 90 0 None Number of animals kept/raised owned by women in the household How many of the [LIVESTOCK TYPE NUMER] kept belong to women? 0 0 0 100 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? 0 0 0 2 0 No 1 Yes 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? 0 0 1 100 Number of animals kept/raised [NUMBER OF MONTHS] months ago How many [LIVESTOCK TYPE] did you keep exactly [NUMBER OF MONTHS] months ago? 0 0 0 700 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? 0 0 0 80 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? 0 0 0 100 0 None Number of animals bought during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months, how many [LIVESTOCK TYPE] did you buy? 0 0 0 170 0 None Price of last animal bought - SHS What was the price of the last [LIVESTOCK TYPE] you bought? 0 0 1100 4500000 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? 0 0 0 105 0 None Number of animals died during the last [NUMBER OF MONTHS] months During the last [NUMBER OF MONTHS] months how many [LIVESTOCK TYPE] died for any reason (illness, accident, etc) or were lost due to theft? 0 0 0 188 0 None Household sold any animal during the last [NUMBER OF MONTHS] months Did the household sell any [LIVESTOCK TYPE] during the last [NUMBER OF MONTHS] months? 0 0 0 98 0 No 1 Yes 98 Don't know 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? 0 0 0 620 0 None Price of last animal sold- SHS What was the price in SHS of the last [LIVESTOCK TYPE] you sold? 0 0 150 2700000 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]? 0 0 1 12 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]? 0 0 1 12 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]? 0 0 2 13 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]? 0 0 3 13 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]? 0 0 4 8 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]? 0 0 9 9 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]? 0 0 10 10 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]? 0 0 11 11 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? 0 0 0 2 0 No 1 Yes 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? 0 0 0 20 0 None ID of household member deciding how to dispose of livestock:1 Who,over the last [NUMBER OF MONTHS] months, primarily took decisions on how to dispose of [LIVESTOCK TYPE] (give it away, use it as a payment, sell it, slaughter it, etc.) 0 0 1 13 ID of household member deciding how to dispose of livestock:2 Who,over the last [NUMBER OF MONTHS] months, primarily took decisions on how to dispose of [LIVESTOCK TYPE] (give it away, use it as a payment, sell it, slaughter it, etc.) 0 0 1 13 ID of household member deciding how to dispose of livestock:3 Who,over the last [NUMBER OF MONTHS] months, primarily took decisions on how to dispose of [LIVESTOCK TYPE] (give it away, use it as a payment, sell it, slaughter it, etc.) 0 0 1 12 Main purpose of keeping/raising livestock What is the main purpose of keeping / raising [LIVESTOCK TYPE] ? 0 0 1 99 1 Food for household consumption 2 Sale of animals or livestock product 3 As a source for manure 4 Draught power / transport / ploughin 5 Raise them to maturity 6 Kept for mating 7 Kept as form of saving 99 Other Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weights Household unique identifier 0 0 Household unique identifier and roster key Animal category unique identifier LIVESTOCK GROUP NAME 0 0 1 Cattle and Pack animals 2 Small Ruminants 3 Poultry Animal category unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name 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? 0 0 0 98 0 No 1 Yes 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]? 0 0 0 98 0 No 1 Yes 98 Don't know 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)? 0 0 2000 650000 Main feeding practice: Grazing/scavenging only In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes Main feeding practice: Mainly grazing/scavenging with some feeding In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes Main feeding practice: Mainly feeding with some grazing /scavenging In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes Main feeding practice: Only feeding In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes Main feeding practice: Tethering with ropes In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes Main feeding practice: Other In the past [NUMBER OF MONTHS] months, what have been the two major feeding practices of [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 2 0 No 1 Yes 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)? 0 0 15 55117400 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]? 0 0 0 1 0 No 1 Yes Main source of water: Dam In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 1 0 No 1 Yes Main source of water: Other In the past [NUMBER OF MONTHS] months, what have been the main two sources of water for [LIVESTOCK GROUP]? 0 0 0 1 0 No 1 Yes 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]? 0 0 0 98 0 No 1 Yes 98 Don't know Total amount paid for water for animals in the past [NUMBER OF MONTHS] months - SHS How much has this household paid for water for [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months (in SHS)? 0 0 100 2600000 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]? 0 0 0 98 0 No 1 Yes, all of them 2 Yes, some of them 98 Don't know 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? 0 0 0 2240000 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? 0 0 0 98 0 No 1 Yes 98 Don't know 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? 0 0 0 3180000 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? 0 0 0 98 0 No 1 Yes 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)? 0 0 0 2000000 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes 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… 0 0 0 1 0 No 1 Yes Main purpose of giving antibiotics to livestock What was the main purpose for giving antibiotics to [LIVESTOCK GROUP]? 0 0 1 99 1 Curative treatment 2 To promote animal growth 3 As a preventive measure against disease 4 For vaccination purposes 98 Don't know 99 Other (Specify) 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]? 0 0 1 98 1 Regularly, at least once per week 2 Regularly, at least once per month 3 Occasionally 4 Once 98 Don't know/don't remember Who gave advice to use antibiotics for livestock Who gave you advice to use antibiotics for [LIVESTOCK GROUP]? 0 0 1 99 1 NGO (Non Government Org) 2 Public Veterinary Officer 3 Private Veterinary Officer 4 Extension worker 5 Input dealer (drug shop, pharmacy) 6 My own decision - consulted no one 99 Other (Specify) 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? 0 0 0 11 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]? 0 0 0 360 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]? 0 0 0 15 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? 0 0 0 3 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]? 0 0 1 93 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)? 0 0 0.5 12 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 0 0 0 600000 Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Animal unique identifier LIVESTOCK GROUP CODE 0 0 Cattle and pack animals Cattle and pack animals Poultry Poultry Small ruminants Small ruminants Animal category unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name 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)? 0 0 -98 2500 -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]? 0 0 0 2 0 No 1 Yes 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? 0 0 -98 1000 -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? 0 0 -98 6500000 -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? 0 0 1 10 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? 0 0 2 7 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? 0 0 1 99 1 Wholesale at the market 2 Retail sale at the market 3 Wholesale sale at the farm or home 4 Retail sale at the farm or home 5 Direct delivery to the consumer 6 Production Contract 99 Other (Specify) 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? 0 0 1 99 1 Government 2 Local organization / Institution 3 Private Trader 4 Consumer 5 Neighbour 6 Relative 7 Cooperative Union 99 Other (Specify) 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? 0 0 0 2 0 No 1 Yes 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? 0 0 1 99 1 Poor access to market (e.g. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 2 Low profitability (e.g. saturation of the market, low prices) 3 Cold chain (e.g. processing, packaging, storage) 4 Low production or low quality 99 Other (Specify) Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Animal unique identifier LIVESTOCK GROUP CODE 0 0 1 cattle and pack animals 2 Small Ruminants Animal category unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Household milked any animal during the last [NUMBER OF MONTHS] months Did you milk any [LIVESTOCK GROUP] in the last [NUMBER OF MONTHS] months? 0 0 0 2 0 No 1 Yes Number of animals milked during the past [NUMBER OF MONTHS] months How many [LIVESTOCK GROUP] were milked in the past [NUMBER OF MONTHS] months? 0 0 1 69 Average number of months were animals were milked For how many months on average were the [LIVESTOCK GROUP] milked in the past [NUMBER OF MONTHS] months? 0 0 1 12 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? 0 0 0.5 250 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]? 0 0 1 3 1 No suckling allowed 2 Intermittent suckling 3 Continuous suckling 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? 0 0 0 25 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? 0 0 0 240 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]? 0 0 500 1800 Weekly earnings from selling milk - SHS How much did you earn from selling [LIVESTOCK GROUP] milk per week, in SHS? 0 0 1200 700000 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)? 0 0 0 8 Weekly earnings from selling processed milk products - SHS How much did you earn from selling [LIVESTOCK GROUP] milk products (such as ghee, yorghurt, etc) per week in SHS? 0 0 0 25000 Market where most of the milk and milk products is sold Where is most of the milk and milk products from [LIVESTOCK GROUP] sold? 0 0 1 99 1 Wholesale at the market 2 Retail sale at the market 3 Wholesale sale at the farm or home 4 Retail sale at the farm or home 5 Direct delivery to the consumer 6 Production Contract 99 Other (Specify) Who mostly buys milk and milk products Who mostly buys the milk and milk products from [LIVESTOCK GROUP]? 0 0 1 99 1 Government 2 local organization/institution 3 private trader 4 consumer 5 neighbours 6 relative 7 cooperative union 99 Other 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]? 0 0 1 13 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]? 0 0 1 8 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? 0 0 0 1 0 No 1 Yes Most important constraint in the commercialization of milk/milk products What was the most important constraint concerning the commercialization of milk and milk products from [LIVESTOCK GROUP] in the past [NUMBER OF MONTHS] months? 0 0 1 99 1 Poor access to market (eg. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 2 Low profitability (saturation of the market, low prices) 3 Cold chain (processing, packaging, storage / storage) 4 Low production or low quality 99 Other Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Eggs type unique identifier LIVESTOCK GROUP NAME 0 0 1 Chicken 2 Other poultry Animal category unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name How many animals laid eggs in the last 3 months How many [LIVESTOCK GROUP] laid eggs in the last 3 months? 0 0 0 100 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? 0 0 1 20160 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? 0 0 0.0333333350718021 672 Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key Product unique identifier Did your household produce any [PRODUCT] during the last 12 months? 0 0 405 Wet skins and hides 406 Dry skins and hides 407 Honey 408 Animal dung 409 Animal urine 410 Bird droppings 411 Manure Animal product unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name 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]? 0 0 1 12 Average quantity of product produced per month During these [NUMBER OF MONTHS], what was the average quantity of [PRODUCT NAME] produced PER MONTH? 0 0 1 600 Unit of measure for quantity produced What was the unit of the quantity for [PRODUCT NAME] production per month? 0 0 1 99 1 Number/Count 2 Kilogram 3 Litre 4 Wheel barrow 5 Pickup truck 7 Truck Elf 11 Sack (120 kgs) 12 Sack (100 kgs) 13 Sack (80 kgs) 14 Sack (50 kgs) 15 Basin 99 Other 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? 0 0 0 600 Unit of measure for quantity consumed What was the unit of the quantity for [PRODUCT NAME] for household consumption/use per month? 0 0 1 99 1 Number/Count 2 Kilogram 3 Litre 4 Wheel barrow 5 Pickup truck 7 Truck Elf 11 Sack (120 kgs) 12 Sack (100 kgs) 13 Sack (80 kgs) 14 Sack (50 kgs) 15 Basin 99 Other Household sold any produce during the last 12 months Did the household sell any [PRODUCT NAME] that it produced in the last 12 months? 0 0 0 2 0 No 1 Yes 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? 0 0 1 5000 Unit of measure for quantity sold What was the unit of quantity for the sales of [PRODUCT NAME]? 0 0 1 99 1 Number/Count 2 Kilogram 3 Litre 4 Wheel barrow 5 Pickup truck 7 Elf Truck 8 Forward Truck 9 Fuso Truck 11 Sack (120 kgs) 12 Sack (100 kgs) 13 Sack (80 kgs) 14 Sack (50 kgs) 99 Other 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? 0 0 1500 2400000 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]? 0 0 1 10 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]? 0 0 2 7 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? 0 0 0 98 0 No 1 Yes 98 Don't know Total amount of expenditures during the last 12 months - SHS What was the total value in SHS of these additional expenses in SHS? 0 0 10000 360000 Sampling weight 0 0 272.285919189453 8244.62890625 Sampling weight Household unique identifier 0 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]? 0 0 1 weather 2 crop varieties 3 crop diseases 4 new agricultural practices 5 farm machinery 6 credit facilities 7 prices of commodities 8 where to sell the production 9 livestock Type of information unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Main source of agricultural information What was the main source you / your household used for receiving information on [INFORMATION TYPE]? 0 0 1 99 1 Radio 2 Television 3 Telephone 4 Internet 5 Newspapers 6 Magazines 7 Extension workers 8 Farmer to farmer 9 NAADS/Operation wealth creation 10 Agricultural shows 11 NGOs 12 word of mouth/peers 13 Demonstration farms/plots 99 Other Other main source of agricultural information OTHER source of infromation on [INFORMATION TYPE] 0 0 Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 0 Household unique identifier and roster key facility unique identifier 0 0 1 Local produce market 10 Local input dealer / farm supply shops 2 District produce market 3 Trading center 4 Nurseries 5 Agricultural demonstration farm 6 Feeder roads 7 All -year round gravel road 8 Tarmac road 9 Community agricultural store Facility unique identifier and roster key Between January 2018 and December 2018, did you or your household have access to the following facilities? Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Distance from facility What is the distance in kilometers to the nearest [FACILITY]? 0 0 1 5 1 2 km or less 2 From 3 to 5 km 3 from 6 to 10 km 4 from 11 to 15 km 5 more than 15 km What is the distance in kilometers to the nearest [FACILITY]? The original variable has been recoded into classes in order to limit the risk of disclosure Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 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? 0 0 Transportation mean unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name How did you or your hh mainly access transport How did you or your household mainly access [TRANSPORT TYPE] 0 0 1 3 1 Own 2 Borrowed 3 Hired Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 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 0 0 1 Commercial and public credit provides 10 Farmer associations 2 3 Commercial and public credit provides 4 Money lenders 5 Input suppliers 6 Self-help Groups 7 Family and friends 8 Agricultural product processors 9 Agricultural produce traders 99 Other Source of loan unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name First main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 0 0 0 99 0 Reason not specified 1 Pay for agricultural labor 2 Purchase seeds 3 Buy fertilizers 4 Buy agro-chemicals 5 Buy farm implements and machinery 6 Set up an irrigation structure 7 Livestock 8 Aquaculture (fish farming) 9 Apiculture (bee keeping) 10 Trading agricultural produce 11 Fund land purchase 12 Repair agricultural Buildings 13 Draught power 99 Other (Specify) Second main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 0 0 0 99 0 Reason not specified 1 Pay for agricultural labor 2 Purchase seeds 3 Buy fertilizers 4 Buy agro-chemicals 5 Buy farm implements and machinery 6 Set up an irrigation structure 7 Livestock 8 Aquaculture (fish farming) 9 Apiculture (bee keeping) 10 Trading agricultural produce 11 Fund land purchase 12 Repair agricultural Buildings 13 Draught power 99 Other (Specify) Third main purpose of the loan What were the three main purposes of the loan from [LOAN SOURCE] 0 0 0 99 0 Reason not specified 1 Pay for agricultural labor 2 Purchase seeds 3 Buy fertilizers 4 Buy agro-chemicals 5 Buy farm implements and machinery 6 Set up an irrigation structure 7 Livestock 8 Aquaculture (fish farming) 9 Apiculture (bee keeping) 10 Trading agricultural produce 11 Fund land purchase 12 Repair agricultural Buildings 13 Draught power 99 Other (Specify) What was the duration of the loan received What was the duration of the loan received from [LOAN SOURCE]? 0 0 1 3 1 Less than 1 year 2 1 to 3 years 3 More than 3 years Loan amount received (SHS) What was the loan amount received from [LOAN SOURCE] between January 2018 and December 2018? 0 0 5000 6000000 ID of household member who received the loan -first Who among the household members received the loan from [LOAN SOURCE]? 0 0 1 13 ID of household member who received the loan -second Who among the household members received the loan from [LOAN SOURCE]? 0 0 2 5 Loan amount repaid (SHS) How much of the loan taken from [LOAN SOURCE] has been repaid between January 2018 and December 2018? 0 0 0 5000000 Household weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 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..? 0 0 1 Rent of buildings for farm use 10 Investment on the holding (e.g set up/ repair for irrigation systems, silos, barns, etc) 2 Rent of land for agriculture 3 Interest on agricultural loans 4 Agricultural insurance 5 Lincences, fees and other statutory permits 6 Maintenance and repairs of builldings for farm use 7 Purchase or repair vehicle/tractor/equipment 8 Water for crop irrigation 9 Electricity for agricultural purposes 99 Other (specify) Fixed cost unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name 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)? 0 0 400 12000000 Sampling weight 0 0 254.641250610352 8795.4931640625 Sampling weight Household unique identifier 0 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? 0 0 1 Floods and tidal waves 2 Drought 3 Hailstorms 4 Pests/diseases outbreak 5 Erratic or heavy rains 6 Insecurity 7 Illness or disease in the household 9 Other (specify) shock category unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name Extent of damage on crop or livestock production What was the extent of damage of [SHOCK] on crop or livestock production? 0 0 1 4 1 None 2 Slight 3 Moderate 4 Severe Main response of the hh to shock What was the main response of the household to [SHOCK]? 0 0 1 99 1 Sold land and/or buildings 2 Sold crops and/or livestock 3 Sold holding's other assets e.g. machinery and equipment 4 Found other work, not on the holding 5 Received help from Government 6 Received help from NGOs or other organizations 7 Received help from relatives 8 Reduced expenses for the holding (labour costs, capital costs, etc.) 9 Reduced expenses for the household (on health, education, etc.) 10 Borrowed money/got a loan 11 Did nothing 99 Other (Specify) Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight Household unique identifier 0 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...? 0 0 1 Local Government 2 Input Supplier 3 Non Government Organization (NGO) 4 Cooperative/Farmer's Association 5 Model Farmers 99 Other (Specify) Extension service source unique identifier and roster key Zardi 0 0 1 10 1 Abi 2 Buginyanya 3 Bulindi 4 Kachwekano 5 Mukono 6 Ngetta 7 Nubin 8 Serere 9 Mbarara 10 Rwebitaba Zardi name Sub-region 0 0 1 14 1 South Buganda 2 North Buganda 3 Busoga 4 Bukedi 5 Elgon 6 Teso 7 Karamoja 8 Lango 9 Acholi 10 West Nile 11 Bunyoro 12 Tooro 13 Ankole 14 Kigezi Subregion name Region 0 0 1 4 1 Central Region 2 Eastern Region 3 Northern Region 4 Western Region Region name 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 0 0 0 1 0 No 1 Yes Method to aquire advice: Service provider visited the household/farm How was the advice/information from [SOURCE] acquired: Service provider visited the household 0 0 0 1 0 No 1 Yes ID of first household member receiving advice/information Which household members received advice/information from [SOURCE]? 0 0 1 11 ID of second household member receiving advice/information Which household members received advice/information from [SOURCE]? 0 0 2 10 ID of third household member receiving advice/information Which household members received advice/information from [SOURCE]? 0 0 2 13 ID of fourth household member receiving advice/information Which household members received advice/information from [SOURCE]? 0 0 3 13 Information on items:agricultural production Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:agricultural prices Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:agro-processing Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:crop marketing Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:livestock marketing Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:fish production Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:livestock production: Meat Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:livestock production: Milk/eggs Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:livestock breeding/feeding/watering Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:control of livestock/crop diseases Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:safe use and handling of agricultural chemicals Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:agricultural input use Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:labour-rights related aspects (child labour, gender equalit Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Information on items:entrepreneurship and business Did the [SOURCE] provide advice/information on the following....? 0 0 0 1 0 No 1 Yes Has any household member sought agricultural advice 0 0 0 98 0 No 1 Yes 98 Don't know 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? 0 0 0 12 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? 0 0 0 15 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? 0 0 0 24 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]? 0 0 0 98 0 No 1 Yes 98 Don't know Services paid for:agricultural production Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:agricultural prices Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:agro-processing Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:crop marketing Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:livestock marketing Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:fish production Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for: meat production Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:milk/eggs production Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:livestock breeding/feeding/watering Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:control of livestock diseases Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:safe use and handling of agricultural chemicals Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:agricultural input use Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:labour-rights related aspects (ex. child labour, gender equali Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes Services paid for:entrepreneurship and business Which services was [SOURCE] paid for? 0 0 0 1 0 No 1 Yes How much in total was paid (SHS) Between January 2018 and December 2018, how much in total was [SOURCE] paid (in SHS)? 0 0 100 700000 Respondent's rating of agricultural advice How would you rate the advice received from [SOURCE]? 0 0 1 3 1 Good 2 Average 3 Bad Sampling weight 0 0 254.641250610352 15885.615234375 Sampling weight