UGA_2018_AAS_v01_EN DDI_UGA_2019_AAS_v01_EN_M_v01_A_ESS_FAO Uganda Bureau of Statistics Food and Agriculture Organization Dissemination and Outreach Team, Statistics Division Nesstar Publisher UGA_2019_AAS_v01_EN_M_v01_A_ESS Annual Agricultural Survey, 2019. AAS 2019 UGA_2019_AAS_v01_EN_M_v01_A_ESS Uganda Bureau of Statistics (UBOS) Food and Agriculture Organization (c) 2020, Uganda Bureau of Statistics Nesstar Publisher US Agency for International Development 50x2030 Initiative (www.50x2030.org) Uganda Bureau of Statistics Agricultural Survey [ag/oth] The AAS 2019 survey was conducted with the support of the FAO, as part of the AGRISurvey Program. The Program promotes the adoption of an integrated and modular approach, namely the AGRIS method developed under the Global Strategy for the Improvement of Agricultural and Rural Statistics (GSARS). 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 (i.e. agricultural holdings in the household sector) Agricultural households (i.e. agricultural holdings in the household sector) Sample survey data [ssd] The AAS 2019 collects data for the timespan of an agricultural year. The Ugandan Agricultural year is divided in two seasons, and, for each season, households are interviewed twice: during the post-planting and the post-harvesting periods. The questionnaire used during the post-planting season is called "Form 4 - Crop Area Module" and is organized as follows: - Section 4.1: Cover Page; - Section 4.2: Household Roster; - Section 4.3: Enterprise Identification; - Section 4.4: Parcel Roster; - Section 4.5: Plot Roster; - Section 4.6: Crop Roster. The questionnaire used for the post-harvesting visit is called "Form 52- Crop Production, Household and Holding Characteristics Module" and is organized as follows: - Section 5.1: Cover Page; - Section 5.2: Household Roster; - Section 5.3: Production and Dispositions of Crops; - Section 5.4: Agricultural Inputs; - Section 5.5: Production Activities and their Costs; - Section 5.6: Labour Input on the Holding; - Section 5.7.1: Cattle and Pack Animals; - Section 5.7.2: Small Ruminants; - Section 5.7.3: Poultry; - Section 5.8.1: Cattle and Pack Animals: Input Costs; - Section 5.8.2: Small Ruminants: Input Costs; - Section 5.8.3: Poultry: Input Costs; - Section 5.9.1: Cattle Meat; - Section 5.9.2: Small Ruminants Meat; - Section 5.9.3: Poultry Meat; - Section 5.9.4: Cattle Milk; - Section 5.9.5: Small Ruminants Milk; - Section 5.9.6: Eggs Production; - Section 5.9.7: Other Animal Products; - Section 5.10: Sources of Agricultural Information; - Section 5.11: Access to facilities; - Section 5.12: Transport Means; - Section 5.13: Storage Facilities; - Section 5.14: Access to Credit; - Section 5.15: Fixed Costs; - Section 5.16: Shocks and Food Security; - Section 5.17: Extension Services; - Section 5.18: Land Disputes. Computer Assisted Personal Interview [capi] Sampling weights are included in each microdata files. The response rate was about the 84%. The accuracy of the survey results depends on the sampling and the non-sampling errors. The AAS 2019 had a large enough and representative sample to limit sampling errors. On the other hand, the non-sampling errors, usually errors that arise during data collection, were controlled through thorough training of the data collectors, field supervision by the headquarters team, and a well-developed CAPI programme. The Coefficients of Variations (CVs) and Confidence Intervals (CIs) for selected indicators at national, ZARDI and sub-regional levels are presented in the Annex tables. The AAS 2019 microdata has been adequately anonymized before dissemination. Confidentiality of respondents is guaranteed by Article 19 of the Uganda Bureau of Statistics Act , 1998. Before being granted access to the microdata files, all users have to formally agree and sign the UBOS microdata terms of use and conditions for scientific use files. Uganda Bureau of Statistics (UBOS) Uganda Bureau of Statistics. Annual Agricultura Survey (AAS) 2019, Version 1.2 of the scientific use file, provided by the Uganda National Data Archive. www.ubos.org The AAS 2019 microdata are disseminated as Scientific Use File (SUF) to accredited users. Uganda Bureau of Statistics shall not be liable to users of its data and information or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation, or modification of the data. S1_PH_ACTIVITIES_clean1.NSDstat This data file contains production activities and their costs in the first season post harvest 6775 9 Nesstar 200801 UBOS S1_PH_CHEMICALS_clean_final1.NSDstat This file contains data on agricultural inputs which are chemicals used in the first season post harvest 2268 19 Nesstar 200801 S1_PH_CROPS_clean_final1.NSDstat This file contains data on production and disposition of crops in the first season post harvest 30230 55 Nesstar 200801 S1_PH_FORM5_clean1.NSDstat 7115 68 Nesstar 200801 S1_PH_INORGANICFERTILIZER_clean1.NSDstat This file contains data on agricultural inputs which are inorganic fertilizers in the first season post harvest 890 21 Nesstar 200801 UBOS S1_PH_MEMBERS_clean1.NSDstat This file contains data on household members in the first season post harvest 35275 17 Nesstar 200801 S1_PH_ORGANICFERTILIZER_clean1.NSDstat This file contains data on agricultural inputs (organic fertilizers) in the first season post harvest 1824 21 Nesstar 200801 UBOS S1_PP_agRoster1.NSDstat 11507 9 Nesstar 200801 S1_PP_CROPS1.NSDstat This file contains data on crops in the first season post planting 30603 26 Nesstar 200801 UBOS S1_PP_MEMBERS1.NSDstat This file contains data on household members in the first season post planting 35300 17 Nesstar 200801 UBOS S1_PP_PARCELS1.NSDstat This file contains data on parcels and ownership in the first season post planting 13434 45 Nesstar 200801 UBOS S1_PP_PLOTS1.NSDstat This file contains data on agricultural plots within parcels for the first season post planting 28768 41 Nesstar 200801 UBOS S2_PH_ACTIVITIES_clean1.NSDstat This file contains data on production activities and their costs for the second season post harvest 5559 9 Nesstar 200801 UBOS S2_PH_ANIMAL_INPUT_COSTS_Cleaned1.NSDstat This file contains data on animal input costs for the second season post harvest 7943 61 Nesstar 200801 S2_PH_animalMilk_Cleaned1.NSDstat This file contains information on cattle milk for the second season post harvest 3694 27 Nesstar 200801 UBOS S2_PH_ANIMALS_Cleaned1.NSDstat This file contains data on animals in the second season post harvest 11087 39 Nesstar 200801 UBOS S2_PH_ANTYPESMEAT_Cleaned1.NSDstat 1221 20 Nesstar 200801 S2_PH_CHEMICALS_clean_final1.NSDstat This file contains data on agricultural inputs (chemicals) for the second season post harvest 1898 19 Nesstar 200801 UBOS S2_PH_CROPS_clean_final1.NSDstat This file contains data on production and disposition of crops in the second season post harvest 21668 59 Nesstar 200801 UBOS S2_PH_EGGS_Cleaned1.NSDstat This file contains data on egg production during the second season post harvest 2854 11 Nesstar 200801 UBOS S2_PH_facilityAccess_clean1.NSDstat This file contains data on access to facilities during the second season post harvest 20758 8 Nesstar 200801 UBOS S2_PH_fixedCostRoster_Cleaned1.NSDstat This file contains data on fixed costs related to agriculture for the second season post harvest 1935 8 Nesstar 200801 UBOS S2_PH_FORM52_clean1.NSDstat 7079 354 Nesstar 200801 S2_PH_infoRoster_Cleaned1.NSDstat 23761 8 Nesstar 200801 S2_PH_infoSource_Cleaned1.NSDstat 465 49 Nesstar 200801 S2_PH_INORGANICFERTILIZER_clean1.NSDstat This file contains data on agricultural inputs (inorganic fertilizers) for the second season post harvest 843 19 Nesstar 200801 UBOS S2_PH_MEMBERS_clean1.NSDstat This file contains data on household members for the second season post harvest 33985 17 Nesstar 200801 UBOS S2_PH_ORGANICFERTILIZER_clean1.NSDstat This file contains data on agric inputs (organic fertilizers) for the second season post harvest 2296 22 Nesstar 200801 UBOS S2_PH_OTHER_ANIMAL_PDCTS_Cleaned1.NSDstat This file contains data on other animal products for the second season post harvest 1152 24 Nesstar 200801 UBOS S2_PH_SHOCKS_Cleaned1.NSDstat This file contains data on shocks that affected food supply during the second season post harvest 6071 9 Nesstar 200801 UBOS S2_PH_sourceOfLoan_Cleaned1.NSDstat This file contains data on the source of loans and purpose for the second season post harvest 603 29 Nesstar 200801 UBOS S2_PH_transportType_Cleaned1.NSDstat This file contains data on means of transport used for agricultural activities for the second season post harvest 9614 8 Nesstar 200801 UBOS S2_PP_agRoster1.NSDstat 10664 10 Nesstar 200801 S2_PP_CROPS1.NSDstat This file contains data on crops cultivated by the hoiuseholds in the second season post planting 23479 27 Nesstar 200801 UBOS S2_PP_MEMBERS1.NSDstat This file contains data on household members for the second season post planting 34597 18 Nesstar 200801 UBOS S2_PP_PARCELS1.NSDstat This file contains data on parcels of land used by households for agricultural activities for the second season post planting 11675 45 Nesstar 200801 UBOS S2_PP_PLOTS1.NSDstat This file contains data on plots within the parcel for the second season post planting 24325 40 Nesstar 200801 UBOS Household Id 6775 0 enumeration Area code 6775 0 10101 42906 28542.515 10871.239 Calibrated weight 6775 0 162.017 5054.672 1039.414 516.768 Region Name 6775 0 1 Central Region 1109 2 Eastern Region 1900 3 Northern Region 1565 4 Western Region 2201 Sub region 6775 0 1 South Buganda 383 2 North Buganda 726 3 West Nile 482 4 Lango 486 5 Acholi 450 6 Kigezi 487 7 Bunyoro 510 8 Tooro 606 9 Busoga 381 10 Teso 522 11 Bukedi 429 12 Elgon 568 13 Karamoja 147 14 Ankole 598 Zardi 6775 0 1 Abi 482 2 Buginyanya 1378 3 Kachwekano 0 4 Bulindi 510 5 Kachwekano 487 6 Mukono 990 7 Ngetta 936 8 Nubin 147 9 Serere 522 10 Mbarara 717 11 Rwebitaba 606 activities id 6765 10 1 land preparation 1874 2 planting 1167 3 weeding 1802 4 mulching 32 5 fertilizing/manure application 113 6 spraying 260 7 irrigation / watering 3 8 pruning 74 9 guarding of the garden 34 10 harvesting, threshing, baling, picking, uprooting 828 11 transporting produce from farm to home/store 383 12 transporting produce from farm/home/ store to market 116 13 drying, packing, and storage 79 14 Other (Specify) 0 Sysmiss 10 Amount paid (cash) for the activity - cleaned 6775 0 0 1881006.725 85245.094 135690.206 Amount paid (in) for the activity - cleaned What was the amount of in-kind payments paid to hired labourers for performing [ACTIVITY NAME] in the last agricultural season (in SHS)? 6775 0 0 750000 6127.388 25195.995 Household Id 2268 0 enumeration Area code 2268 0 10101 42906 25192.289 11966.183 Calibrated weight 2268 0 227.697 5054.672 1108.57 521.091 Region Name 2268 0 1 Central Region 693 2 Eastern Region 658 3 Northern Region 279 4 Western Region 638 Sub-Region 2268 0 1 South Buganda 188 2 North Buganda 505 3 West Nile 70 4 Lango 173 5 Acholi 30 6 Kigezi 182 7 Bunyoro 274 8 Tooro 123 9 Busoga 77 10 Teso 170 11 Bukedi 198 12 Elgon 213 13 Karamoja 6 14 Ankole 59 Zardi Name 2268 0 1 Abi 70 2 Buginyanya 488 3 Bulindi 274 4 Kachwekano 182 5 Mukono 631 6 Ngetta 203 7 Nubin 6 8 Serere 170 9 Mbarara 121 10 Rwebitaba 123 Parcel ID 2268 0 1 1259 2 651 3 236 4 82 5 28 6 5 7 2 8 3 10 2 Plot ID 2268 0 1 1458 2 470 3 172 4 105 5 28 6 18 7 10 8 4 9 2 14 1 Chemical ID 2268 0 1 Herbicides 593 2 Insecticides 1416 3 Fungicides 243 4 Rodenticides 16 In the first agricultural season of 2019, how many times did you apply %rosterti How many times did you apply [PESTICIDE TYPE] on [PLOT NAME]? 2268 0 1 29 2.679 2.905 source of chemical used:Purchased How did you obtain the [PESTICIDE TYPE] that was used? 2266 2 0 No 47 1 Yes 2219 11 .A 2 source of chemical used:Received for free How did you obtain the [PESTICIDE TYPE] that was used? 2141 127 0 No 2091 1 Yes 50 11 .A 127 source of chemical used:Other How did you obtain the [PESTICIDE TYPE] that was used? 2141 127 0 No 2140 1 Yes 1 11 .A 127 Quantity of chemical applied in kg How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 369 1899 0.008 240 2.886 13.03 Quantity of chemical bought in kg How much of the [PESTICIDE TYPE] applied to this [PLOT NAME] was purchased? 358 1910 0.008 240 2.821 13.136 Quantity of chemical applied in liters 1898 370 0.001 250 1.673 10.508 Quantity of chemical bought in liters 1859 409 0.001 250 1.642 10.51 Unit price of one kg of chemical 360 1908 1500 120000 20782.222 16892.086 Unit price of one lt of chemical 1859 409 15 675700 33945.869 36837.583 30230 0 enumeration Area code 30230 0 10101 42906 29184.48 10991.436 Calibrated weight 30230 0 162.017 5054.672 1025.839 464.594 Region Name 30230 0 1 Central Region 4795 2 Eastern Region 7780 3 Northern Region 7015 4 Western Region 10640 Sub region 30230 0 1 South Buganda 1747 2 North Buganda 3048 3 West Nile 2711 4 Lango 1963 5 Acholi 1710 6 Kigezi 1826 7 Bunyoro 3051 8 Tooro 2577 9 Busoga 1800 10 Teso 2213 11 Bukedi 1658 12 Elgon 2109 13 Karamoja 631 14 Ankole 3186 Zardi 30230 0 1 Abi 2711 2 Buginyanya 5567 3 Kachwekano 0 4 Bulindi 3051 5 Kachwekano 1826 6 Mukono 4202 7 Ngetta 3673 8 Nubin 631 9 Serere 2213 10 Mbarara 3779 11 Rwebitaba 2577 Parcel id in PP (to use when merging with PP data) 30230 0 1 19008 2 7527 3 2559 4 786 5 243 6 73 7 20 8 8 9 4 10 2 Plot id in PP (to use when merging with PP data) 30230 0 1 18930 2 6181 3 2720 4 1285 5 617 6 264 7 121 8 57 9 20 10 12 11 9 12 4 13 7 14 3 Crop ID 30230 0 1 19188 2 8094 3 2220 4 600 5 126 6 2 Crop name (standardized) Type in the crop name. Type OTHER if you can't find the crop name in the list. 30219 11 112 Maize 6376 113 Rice 285 114 Sorghum 1527 118 Millet 857 411 Soya Beans 589 421 Groundnuts 2125 437 Simsim 400 511 Irish Potatoes 511 521 Sweet Potatoes 2348 531 Cassava 4850 711 Beans 4197 3121 Banana (Food) 3625 3122 Banana (Sweet) 426 3123 Banana (Beer) 0 6111 Coffee Arabica (old) 547 6112 Coffee Robusta (old) 1205 6113 Coffee Arabica (new) 73 6114 Coffee Robusta (clonal) 278 Sysmiss 11 Percentage allocated to crop on the plot Approximately what percentage of the [PLOT NAME] plot area is cultivated (or will be cultivated) with [CROP NAME]? 30230 0 1 100 62.968 32.362 Year the crop was planted In which year was/were [CROP NAME] planted on this [PLOT NAME] plot? 30230 0 -98 Don't Know / Don't Recall 1171 1952 2 1954 1 1955 1 1956 4 1957 3 1958 1 1959 3 1960 16 1961 2 1962 5 1963 4 1964 3 1965 8 1967 4 1968 4 1969 13 1970 22 1971 4 1972 15 1973 9 1974 11 1975 4 1976 6 1977 9 1978 14 1979 12 1980 41 1981 14 1982 12 1983 17 1984 23 1985 32 1986 38 1987 15 1988 27 1989 32 1990 68 1991 21 1992 28 1993 23 1994 38 1995 50 1996 66 1997 48 1998 68 1999 87 2000 160 2001 51 2002 68 2003 78 2004 117 2005 108 2006 74 2007 107 2008 151 2009 174 2010 166 2011 135 2012 153 2013 213 2014 301 2015 375 2016 414 2017 646 2018 2112 2019 22528 Month the crop was planted In which month was/were [CROP NAME] planted on this [PLOT NAME] plot? 30221 9 -98 Don't Remember/Don't Know 2367 0 Don't Remember/Don't Know 0 1 January 600 2 February 2215 3 March 9168 4 April 7865 5 May 3574 6 June 1695 7 July 623 8 August 754 9 September 658 10 October 321 11 November 249 12 December 132 Sysmiss 9 Has crop been harvested? Did you/your household harvest all of [CROP NAME]? 30230 0 1 None of the crop has been harvested yet 7135 2 Some of the crop has been harvested 2819 3 All of the crop has been harvested 16569 4 Most of the crop was destroyed 1822 5 All of the crop was destroyed 1698 6 Crop sold in the garden 81 7 Crop Does not belong to the Household 106 Amount received for selling whole crop in garden (UGX) 81 30149 10000 9000000 387123.457 1031195.403 total value of sales of harvest under main condition / state (in Shs) What was the total value of sales of [CROP NAME] in SHS? 6856 23374 12 35760000 269807.066 769127.209 100000001 .A 2 Disposition 1st cond: Processed for sale 30230 0 0 No 30129 1 Yes 101 Disposition 1st cond: Used as animal feed How much of the [CROP NAME] was used as animal feed? 30230 0 0 No 30137 1 Yes 93 Disposition 1st cond: Given to landlord / used to payback How much of the [CROP NAME] was given to the landlord? 30230 0 0 No 30125 1 Yes 105 Disposition 1st cond: Consumed by the household including that before the harves How much of the [CROP NAME] was consumed by the household including that before harvest? 30230 0 0 No 13578 1 Yes 16652 Disposition 1st cond: Set aside for seed How much of the [CROP NAME] was set aside for seeds 30230 0 0 No 26330 1 Yes 3900 Disposition 1st cond: Is currently in storage How much of the [CROP NAME] is currently in storage 30230 0 0 No 26339 1 Yes 3891 Disposition 1st cond: Given to others How much of the [CROP NAME] was given to others 30230 0 0 No 27296 1 Yes 2934 Disposition 1st cond: Lost after harvest How much of the [CROP NAME] was lost after harvest? 30230 0 0 No 29357 1 Yes 873 total value of sales under second harvest condition / state (in SHS) 232 29998 3000 3040000 114134.698 248595.237 Disposition 2nd cond: Processed for sale 30230 0 0 No 30228 1 Yes 2 Disposition 2nd cond: Used as animal feed How much of the [CROP NAME] was used as animal feed? 30230 0 0 No 30206 1 Yes 24 Disposition 2nd cond: Given to landlord / used to payback How much of the [CROP NAME] was given to the landlord? 30230 0 0 No 30219 1 Yes 11 Disposition 2nd cond: Consumed by the household including that before the harves How much of the [CROP NAME] was consumed by the household including that before harvest? 30230 0 0 No 25975 1 Yes 4255 Disposition 2nd cond: Set aside for seed How much of the [CROP NAME] was set aside for seeds 30230 0 0 No 29831 1 Yes 399 Disposition 2nd cond: Is currently in storage How much of the [CROP NAME] is currently in storage 30230 0 0 No 29842 1 Yes 388 Disposition 2nd cond: Given to others How much of the [CROP NAME] was given to others 30230 0 0 No 29521 1 Yes 709 Disposition 2nd cond: Lost after harvest How much of the [CROP NAME] was lost after harvest? 30230 0 0 No 30181 1 Yes 49 Where is most of the production of the crop sold? Where is most of the production of [CROP NAME] sold? 7053 23177 1 Wholesale sale at the market 827 2 Retail sale at the market 695 3 Wholesale sale at the farm or home 3580 4 Retail sale at the farm or home 1854 5 Direct delivery to the consumer 73 6 Production Contract 21 9 Other (Specify) 3 Sysmiss 23177 main buyer of produce Who is the main buyer for [CROP NAME] in [PLOT]? 7053 23177 1 Government 6 2 Local Organization/Institution 64 3 Private traders 5924 4 Consumers 829 5 Neighbours 197 6 Relatives 12 7 Cooperative Unions 21 9 Other (Specify) 0 Sysmiss 23177 Is the harvest decision maker a household member? Is the person 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 a member of this household? 21210 9020 1 Yes 21000 2 No 210 Sysmiss 9020 PID of first hh member taking decisions on disposition of harvest 21000 9230 1 19064 2 1855 3 42 4 15 5 3 6 8 7 6 8 1 9 6 Sysmiss 9230 PID of second hh member taking decisions on disposition of harvest Who in this household decided on how to use the earnings from the sale of the [CROP NAME] (Use PID) 11808 18422 2 11645 3 102 4 33 5 14 6 5 7 1 8 2 9 4 11 2 Sysmiss 18422 is the earning decision maker a household member? 7142 23088 1 Yes 7118 2 No 24 Sysmiss 23088 PID of first HH member taking decisions on revenues from crop sales 7118 23112 1 6619 2 471 3 15 4 4 6 2 7 5 9 2 Sysmiss 23112 PID of second HH member taking decisions on revenues from crop sales 3967 26263 2 3935 3 17 4 6 5 7 6 1 7 1 Sysmiss 26263 Agricultural household producing crop 29344 886 0 No 41 1 Yes 29303 Sysmiss 886 Agricultural household rearing livestock/poultry 29330 900 0 No 5122 1 Yes 24208 11 .A 14 Sysmiss 886 Agricultural household practicing aquaculture 29154 1076 0 No 29133 1 Yes 21 11 .A 190 Sysmiss 886 Agricultural household practicing apiculture 29121 1109 0 No 28185 1 Yes 936 11 .A 223 Sysmiss 886 Agricultural household practicing Agro-forestry 29140 1090 0 No 27212 1 Yes 1928 11 .A 204 Sysmiss 886 see notes 30230 0 0 916 1 4882 2 21988 3 2238 4 206 Quantity Harvested - First condition (tonnes) 20880 9350 0.0002 81.6 0.358 1.374 Quantity Sold - First condition (tonnes) 6831 23399 0.0003 39.375 0.425 1.381 Farm gate price (SHS) per kg (1st condition) 5623 24607 160 500000000 1782419.088 7663802.165 Quantity Harvested - second condition (tonnes) 3837 26393 0.0003 26.8 0.0541 0.455 Quantity Sold - Second condition (tonnes) 229 30001 0.0015 1.25 0.113 0.185 Farm gate price (SHS) per kg (2nd condition) 133 30097 238095.234 25000000 1362187.459 2324864.886 Total quantity of crop harvested (first and second condition) 21010 9220 0.0002 81.6 0.366 1.382 Total quantity of crop sold (first and second condition) 7025 23205 0.0003 39.375 0.417 1.363 Unique HH Identifier: constant accross Form4 and Form 52 7115 0 enumeration Area code 7115 0 10101 42906 28407.18 10872.93 Calibrated weight 7115 0 0 5054.672 1055.741 541.732 Region Name 7115 0 1 Central Region 1199 2 Eastern Region 1944 3 Northern Region 1752 4 Western Region 2220 Sub-Region 7115 0 1 South Buganda 599 2 North Buganda 600 3 West Nile 528 4 Lango 444 5 Acholi 420 6 Kigezi 480 7 Bunyoro 540 8 Tooro 540 9 Busoga 576 10 Teso 432 11 Bukedi 468 12 Elgon 468 13 Karamoja 360 14 Ankole 660 Zardi Name 7115 0 1 Abi 528 2 Buginyanya 1512 3 Bulindi 540 4 Kachwekano 480 5 Mukono 1019 6 Ngetta 864 7 Nubin 360 8 Serere 432 9 Mbarara 840 10 Rwebitaba 540 Reference Season 7115 0 1 7115 Why not inorg. fertilisers: no need, soil fertile 5736 1379 0 3 0.406 0.743 11 .A 50 Why not inorg. fertilisers: available fertilisers are poor quality 5736 1379 0 3 0.0103 0.145 11 .A 50 Why not inorg. fertilisers: land is rented 5736 1379 0 3 0.0586 0.339 11 .A 50 Why not inorg. fertilisers: no knowledge of benefits and use 5736 1379 0 3 0.457 0.882 11 .A 50 Why not inorg. fertilisers: can't afford 5736 1379 0 3 1.07 0.776 11 .A 50 Why not inorg. fertilisers: not available locally 5736 1379 0 3 0.672 1.004 11 .A 50 Why not inorg. fertilisers: not useful 5736 1379 0 3 0.037 0.307 11 .A 50 Why not inorg. fertilisers: burn crops if little rain 5736 1379 0 3 0.0289 0.27 11 .A 50 Why not inorg. fertilisers: increase weed 5736 1379 0 3 0.02 0.225 11 .A 50 Why not inorg. fertilisers: negative effects on soil 5736 1379 0 3 0.12 0.487 11 .A 50 Why not inorg. fertilisers: impractical 5736 1379 0 3 0.0188 0.212 11 .A 50 Why not inorg. fertilisers: other reasons 5736 1379 0 3 0.0106 0.127 11 .A 50 HH members participated in land preparation activities 6286 829 0 No 446 1 Yes 5840 Sysmiss 829 HH members participated in planting activities 6286 829 0 No 354 1 Yes 5932 Sysmiss 829 HH members participated in weeding activities 6286 829 0 No 357 1 Yes 5929 Sysmiss 829 HH members participated in mulching activities 6286 829 0 No 5600 1 Yes 686 Sysmiss 829 HH members participated in fertilizing/manure application activities 6286 829 0 No 5066 1 Yes 1220 Sysmiss 829 HH members participated in spraying activities 6286 829 0 No 5362 1 Yes 924 Sysmiss 829 HH members participated in irrigation/watering activities 6286 829 0 No 6235 1 Yes 51 Sysmiss 829 HH members participated in pruning activities 6286 829 0 No 4688 1 Yes 1598 Sysmiss 829 HH members participated in guarding of the garden 6286 829 0 No 5189 1 Yes 1097 Sysmiss 829 HH members participated in harvesting/threshing activities 6286 829 0 No 676 1 Yes 5610 Sysmiss 829 HH members participated in transporting produce from farm to home/store 6286 829 0 No 1106 1 Yes 5180 Sysmiss 829 HH members participated in transporting produce from farm/home/ store to market 6286 829 0 No 4588 1 Yes 1698 Sysmiss 829 HH members participated in drying, packing, and storage activities 6286 829 0 No 1582 1 Yes 4704 Sysmiss 829 HH members participated in other cropping activities 6286 829 0 No 6286 1 Yes 0 Sysmiss 829 if any hh member was compesated for their work 6286 829 1 Yes 110 2 No 6176 Sysmiss 829 total payment to household members 110 7005 50 2400000 245618.636 348301.349 HH hired workers for land preparation activities 6286 829 0 No 4412 1 Yes 1874 Sysmiss 829 HH hired workers for planting activities 6286 829 0 No 5119 1 Yes 1167 Sysmiss 829 HH hired workers for weeding activities 6286 829 0 No 4484 1 Yes 1802 Sysmiss 829 HH hired workers for mulching activities 6286 829 0 No 6252 1 Yes 34 Sysmiss 829 HH hired workers for fertilizing/manure application activities 6286 829 0 No 6171 1 Yes 115 Sysmiss 829 HH hired workers for spraying activities 6286 829 0 No 6026 1 Yes 260 Sysmiss 829 HH hired workers for irrigation/watering activities 6286 829 0 No 6282 1 Yes 4 Sysmiss 829 HH hired workers for pruning activities 6286 829 0 No 6209 1 Yes 77 Sysmiss 829 HH hired workers for guarding of the garden 6286 829 0 No 6252 1 Yes 34 Sysmiss 829 HH hired workers for harvesting/threshing activities 6286 829 0 No 5458 1 Yes 828 Sysmiss 829 HH hired workers for transporting produce from farm to home/store 6286 829 0 No 5903 1 Yes 383 Sysmiss 829 HH hired workers for transporting produce from farm/home/ store to market 6286 829 0 No 6169 1 Yes 117 Sysmiss 829 HH hired workers for drying, packing, and storage activities 6286 829 0 No 6206 1 Yes 80 Sysmiss 829 HH hired workers for other cropping activities 6286 829 0 No 6285 1 Yes 1 Sysmiss 829 Numb. male HH members who worked on the holding 5316 1799 0 558 1 2956 2 928 3 542 4 214 5 86 6 22 7 6 8 3 9 1 Sysmiss 1799 total number of days worked by male hh members in the season (cln) 4758 2357 0.39 360 71.783 52.354 Duration typical working day for male hh members (hours) 4758 2357 1 12 4.878 1.542 Numb. female HH members who worked on the holding 5832 1283 0 145 1 3436 2 1292 3 664 4 205 5 62 6 18 7 5 8 3 9 1 13 1 Sysmiss 1283 total number of days worked by female hh members in the season (cln) 5687 1428 0.407 400 81.203 50.55 Duration typical working day for female hh members (hours) 5687 1428 1 12 4.9 1.563 Number unpaid relatives that worked on the farm 6286 829 0 30 0.796 1.82 total number of days worked by unpaid relatives in the season (cln) 1854 5261 0.0777 30 2.647 2.45 Duration typical working day for unpaid relatives (hours) 1854 5261 1 8 1.5 1 2 57 3 200 4 367 4.7 1 5 439 6 459 7 214 8 78 9 19 10 11 Sysmiss 5261 Number male hired workers 2756 4359 0 150 4.375 5.846 total number of days worked by male hired workers in the season (cln) 2358 4757 0.185 576 14.41 29.277 Duration of a typical working day for male hired workers 2358 4757 1 23 2 50 2.5 1 3 173 3.5 1 4 446 4.5 1 5 618 5.5 1 6 590 6.5 2 7 236 8 153 8.5 1 9 28 10 27 11 3 12 4 Sysmiss 4757 Number female hired workers 2756 4359 0 260 3.973 7.96 total number of days worked by female hired workers in the season (cln) 1770 5345 0.117 450 11.985 23.802 Duration of a typical working day for female hired workers 1770 5345 1 1 2 26 2.5 1 3 124 4 328 5 498 5.5 1 6 433 6.5 2 7 176 7.5 1 8 140 9 15 10 23 11 1 Sysmiss 5345 average daily male wage in village 2756 4359 700 14000 5118.904 1896.1 average daily female wage in the village 2756 4359 50 13000 4728.338 1678.638 Interview Result during the Post-Harvest 7115 0 1 Interview completed 6281 2 Partially done 5 3 Not done 829 Man-Days worked by male hired workers in the season (cln) 2358 4757 0.0535 360 10.264 22.182 Household Id 890 0 H00164173D 1 H00194092D 2 H00830101D 2 H00979909D 1 H01389357D 1 H01451043D 1 H01512730D 1 H01660172D 1 H01751796D 4 H01775777D 1 H03335134D 2 H03490726D 5 H03928549D 2 H05086572D 1 H05850421D 1 H05969322D 1 H06148954D 2 H06153990D 1 H06530760D 1 H06886852D 1 H06953570D 1 H06969850D 10 H07274565D 2 H07917683D 2 H08132985D 6 H08904304D 2 H09000166D 2 H09215382D 2 H09267407D 1 H09369668D 1 H09659151D 2 H09661314D 2 H09903958D 1 H09967316D 3 H10069764D 1 H10121267D 2 H10141470D 1 H10236052D 1 H10338224D 1 H10800856D 1 H11081163D 2 H11594477D 2 H11595353D 3 H11741395D 1 H11889394D 3 H12382467D 2 H12434074D 1 H12559023D 1 H12683374D 1 H12697084D 3 H12966048D 2 H13214400D 2 H13289552D 1 H13471834D 5 H13672845D 1 H13755405D 2 H13995863D 1 H14064999D 4 H14069971D 1 H14317808D 4 H14376038D 1 H14840370D 1 H15404699D 1 H15982935D 2 H16009857D 1 H16046721D 1 H16134674D 1 H16304934D 2 H16483937D 1 H17088594D 3 H17420548D 4 H17435584D 1 H17459595D 2 H17486982D 1 H17566601D 2 H17601306D 2 H17606026D 1 H17985251D 1 H18221348D 1 H18372280D 1 H18439350D 1 H18465786D 1 H19159012D 1 H19485106D 1 H19491944D 3 H19541118D 1 H19853187D 1 H19885635D 3 H20034868D 1 H20289147D 1 H20529128D 1 H20808712D 1 H21004237D 1 H21125497D 1 H21344879D 1 H21479521D 2 H21794553D 1 H22243361D 4 H22303223D 1 H22304160D 2 H22534210D 1 H22591300D 1 H22647588D 2 H22697073D 2 H23141678D 1 H23336528D 1 H23549565D 3 H23635523D 3 H23786392D 1 H24273168D 1 H24434062D 1 H24826595D 1 H24940368D 1 H24980302D 1 H25184315D 2 H25197679D 4 H25298207D 1 H25469619D 1 H25663225D 2 H25756020D 1 H25947992D 2 H26010251D 1 H26640449D 3 H27113822D 1 H27352376D 2 H27399720D 6 H27696258D 1 H28202011D 1 H28241948D 1 H28388682D 2 H28531535D 2 H28903432D 1 H29100950D 1 H29273111D 2 H29400139D 1 H29489517D 1 H29498005D 1 H29614481D 1 H29702504D 1 H29784469D 1 H30149026D 1 H30518080D 1 H30524545D 4 H30530385D 2 H30766145D 2 H30876067D 1 H30891700D 3 H30951363D 6 H31219061D 1 H31296041D 2 H31298366D 2 H31411661D 1 H31566803D 1 H31586769D 3 H31839649D 1 H31934710D 1 H31946481D 2 H32333220D 2 H32384322D 12 H32537507D 2 H33094227D 1 H33142239D 2 H33344675D 1 H33472233D 2 H33617840D 2 H33683905D 1 H33719380D 2 H33890659D 1 H34922681D 1 H34969674D 1 H35059731D 5 H35099819D 3 H35285929D 1 H35332266D 3 H35980330D 1 H36019195D 1 H36065331D 2 H36133772D 2 H36532509D 1 H36542931D 1 H37235912D 4 H37383198D 1 H37392289D 1 H37515289D 1 H37624659D 1 H38007670D 1 H38066996D 1 H38117793D 2 H38157052D 2 H38321778D 2 H38531085D 2 H38723333D 1 H39491684D 2 H39650133D 2 H39751042D 3 H39757644D 1 H39824186D 1 H40037368D 2 H40302820D 1 H40310067D 2 H40569138D 1 H40730033D 7 H40948639D 1 H41136349D 1 H41277458D 1 H41429961D 2 H41525523D 4 H41788356D 2 H41849857D 2 H41920594D 1 H41931961D 1 H42024019D 3 H42074739D 2 H42272931D 1 H42761547D 2 H42776996D 3 H42970757D 1 H43188459D 1 H43335858D 2 H43450429D 2 H43707166D 1 H43805811D 1 H43855904D 2 H44028738D 5 H44155677D 2 H44189730D 2 H44436107D 3 H44645397D 1 H44760962D 2 H44844691D 2 H45451990D 2 H45736205D 5 H45770310D 2 H45873973D 2 H46737676D 1 H46960516D 2 H47086164D 1 H47240755D 1 H47356873D 2 H47357594D 2 H47570850D 1 H47814076D 2 H48056838D 2 H48581834D 2 H48867585D 2 H49195551D 1 H49427338D 1 H49770461D 2 H50343585D 4 H50527726D 2 H50656759D 2 H50928434D 1 H51001855D 1 H51224928D 6 H51690666D 1 H51714845D 1 H51755120D 3 H51812107D 1 H52279193D 1 H52602727D 2 H52716846D 2 H52904667D 6 H52990532D 1 H53389021D 1 H53429659D 1 H53578783D 1 H54130099D 1 H54241483D 2 H54421780D 1 H54777473D 1 H54904240D 2 H55003889D 1 H55029870D 1 H55577594D 4 H55583664D 1 H55622380D 1 H55774684D 2 H56496100D 1 H56584387D 2 H56621348D 1 H56671737D 4 H56893879D 1 H56984816D 2 H57208141D 1 H57248349D 1 H57256358D 1 H57425184D 2 H57501890D 1 H57555784D 2 H57918803D 2 H58309667D 6 H58665823D 3 H58732210D 2 H58921807D 1 H58995535D 1 H59241952D 5 H59465134D 1 H59538909D 9 H59574512D 2 H59750250D 1 H60158724D 2 H60205877D 1 H60278219D 2 H60374491D 2 H60446632D 2 H60703395D 2 H60867204D 2 H61048438D 1 H61367607D 2 H61380312D 1 H61620659D 2 H61828690D 1 H61837068D 2 H61975838D 1 H62074400D 1 H62250099D 1 H62579090D 1 H62598170D 1 H62923909D 1 H63711649D 2 H63760029D 2 H63773833D 1 H63819112D 1 H63885634D 1 H64020291D 1 H64200369D 3 H64282908D 1 H64799999D 2 H64829656D 2 H65040232D 1 H65467637D 4 H65660566D 2 H65885686D 1 H66099003D 1 H66115120D 1 H66151530D 1 H66174627D 1 H66688281D 2 H67043482D 2 H67335009D 2 H67355956D 1 H67612657D 1 H67675308D 1 H67859900D 1 H68421323D 2 H68518014D 2 H68562904D 2 H68730264D 3 H68861523D 1 H69058006D 2 H69123729D 1 H69347578D 1 H69900291D 1 H69975602D 2 H70181666D 1 H70297760D 2 H70443915D 1 H71261601D 3 H71557791D 1 H71779767D 1 H72245674D 1 H72250200D 1 H72433198D 1 H72863031D 1 H72934329D 1 H73230057D 1 H74042309D 1 H74078805D 3 H74290927D 1 H74949381D 2 H75105573D 3 H75360593D 1 H75499730D 1 H75562381D 1 H75744376D 1 H75822653D 2 H75855500D 4 H75903000D 2 H76175939D 2 H76313358D 3 H76482830D 2 H76744655D 1 H76830136D 2 H76995801D 2 H77561349D 1 H77677475D 2 H77833804D 2 H78221833D 2 H78372335D 1 H78815059D 3 H79018369D 1 H79236463D 2 H79270422D 1 H79401100D 1 H79640492D 2 H80120603D 1 H80320913D 5 H80387259D 3 H80409386D 3 H80512399D 1 H80571622D 1 H80658764D 1 H80691093D 1 H80771076D 1 H80861190D 4 H80888958D 1 H80951402D 2 H81066123D 2 H81094268D 1 H81414720D 2 H81565579D 1 H81682574D 1 H81816256D 1 H81899208D 6 H82531033D 1 H82850027D 1 H82865781D 1 H82943137D 1 H83358132D 1 H83516895D 1 H83571247D 4 H83860241D 2 H84033509D 1 H84101210D 2 H84240607D 1 H84266635D 6 H84448596D 3 H84459372D 3 H84517912D 1 H84679471D 2 H84702115D 2 H84722359D 1 H84736543D 1 H84940508D 1 H84967874D 3 H85223533D 1 H85339726D 2 H85458565D 2 H85630347D 1 H86737644D 1 H86940663D 3 H87003136D 1 H87300181D 2 H87389355D 1 H87736990D 2 H87879927D 4 H87896267D 2 H88296852D 1 H88612443D 2 H88644148D 1 H88679541D 1 H89157634D 1 H89213087D 2 H89313526D 1 H89379904D 2 H89973129D 1 H90089993D 2 H90247401D 2 H90330511D 1 H90722976D 2 H91125191D 1 H91450692D 2 H91818681D 1 H92037190D 2 H92213437D 2 H92687995D 4 H92752281D 2 H93054647D 1 H93161329D 1 H93840644D 2 H93852104D 1 H93958220D 3 H94237489D 1 H94792701D 1 H94895437D 2 H95263908D 1 H95455303D 1 H95474637D 1 H95753884D 2 H95822408D 5 H95882471D 1 H96285799D 2 H96314633D 2 H96487886D 1 H96929763D 3 H97047004D 1 H97601166D 2 H97891339D 1 H97910407D 1 H98198439D 2 H98548337D 2 H98617791D 2 H98981738D 2 H99261175D 2 H99320830D 1 H99575145D 1 H99653728D 1 H99718125D 1 H99988769D 1 enumeration Area code 890 0 10301 42906 24710.79 11108.363 Calibrated weight 890 0 238.901 3979.765 1136.315 509.496 Region 890 0 1 Central 224 2 Eastern 372 3 Northern 64 4 Western 230 Sub-Region 890 0 1 South Buganda 99 2 North Buganda 125 3 West Nile 31 4 Lango 19 5 Acholi 14 6 Kigezi 53 7 Bunyoro 111 8 Tooro 53 9 Busoga 43 10 Teso 4 11 Bukedi 52 12 Elgon 273 13 Karamoja 0 14 Ankole 13 Zardi 890 0 1 Abi 31 2 Buginyanya 368 3 Bulindi 111 4 Kachwekano 53 5 Mukono 192 6 Ngetta 33 7 Nubin 0 8 Serere 4 9 Mbarara 45 10 Rwebitaba 53 Parcel ID 890 0 1 445 2 273 3 114 4 30 5 15 6 6 7 3 8 4 Plot ID 890 0 1 653 2 142 3 57 4 21 5 5 6 5 7 2 8 2 9 2 14 1 INORGANICFERTILIZER id 890 0 1 CAN (Calcium Ammonium Nitrate) 81 2 DAP (Diammonium Phosphate) 105 3 NPK (Nitrogen Phosphorous Potassium) 342 4 Super Phosphate-Single(SSP) or Triple(TSP) 10 5 Urea 173 6 Other (Specify) 179 # of times inorganic fertilizer was applied Whatis the number of times [INORGANIC FERTILIZER] was applied on this [PLOT NAME]? 889 1 1 12 1.579 1.174 101 .A 1 method of obtaining inorganic fertilizer:Purchased How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 890 0 0 25 1 865 method of obtaining inorganic fertilizer:Received for free How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 890 0 0 867 1 23 method of obtaining inorganic fertilizer:Other How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 890 0 0 889 1 1 Quantity of solid inorganic fertilizer applied (kg) 652 238 0.0222 2750 44.511 128.811 Quantity of liquid inorganic fertilizer applied (ltr) 236 654 0.005 15 1.011 1.716 Quantity of solid inorganic fertilizer bought (kg) 630 260 0.0222 2750 44.969 131.279 Quantity of liquid inorganic fertilizer bought (ltr) 234 656 0.005 15 1.011 1.716 Unit price of one kg or inorganic fertilizer 630 260 5 5000000 20698.05 266932.714 Unit price of one lt of inorganic fertilizer 234 656 15 267000 32378.685 45299.179 Quantity of inorganic fertilizer applied in kg per ha 588 302 0.051 117049.742 683.263 5845.059 Quantity of inorganic fertilizer applied in liters per ha 228 662 0.0124 74.88 5.486 11.246 link PH and PP data 35275 0 enumeration Area code 35275 0 10101 42906 28682.258 10693.122 Calibrated weight 35275 0 162.017 5054.672 1025.839 503.875 Region Name 35275 0 1 Central Region 5389 2 Eastern Region 9884 3 Northern Region 8912 4 Western Region 11090 Sub region 35273 2 1 South Buganda 2467 2 North Buganda 2922 3 West Nile 2658 4 Lango 2219 5 Acholi 2441 6 Kigezi 2262 7 Bunyoro 2702 8 Tooro 2831 9 Busoga 2486 10 Teso 2617 11 Bukedi 2573 12 Elgon 2206 13 Karamoja 1594 14 Ankole 3295 Sysmiss 2 zardi 35275 0 1 Abi 2658 2 Buginyanya 7267 3 Kachwekano 0 4 Bulindi 2702 5 Kachwekano 2262 6 Mukono 4606 7 Ngetta 4660 8 Nubin 1594 9 Serere 2617 10 Mbarara 4078 11 Rwebitaba 2831 Member ID 35275 0 1 6286 2 5982 3 5584 4 4900 5 3996 6 3058 7 2138 8 1397 9 876 10 510 11 281 12 171 13 96 Sex What is the sex of [NAME]? 35275 0 1 Male 17324 2 Female 17951 Relationship to household head What is [NAME]'s relationship to household head? 34525 750 1 Head 6157 2 Spouse 4480 3 Son/Daughter/Step Child 19261 4 Parent 95 5 Other Relative 4331 6 Non-Relative 201 Sysmiss 750 residential status What is the residential status of [NAME]? 35275 0 1 Usual Member 32561 2 Regular Member 2603 3 Guest 111 age How old is [NAME] in completed years? 35275 0 0 65 20.551 17.243 marital status What is [NAME]'s current marital status? 23639 11636 1 Married 9823 2 Divorced/ Separated 929 3 Widowed 1118 4 Never married 11769 5 structural Missing 0 Sysmiss 11636 education level 31896 3379 1 Nursery or never been to school 7284 2 Did not complete primary one (P1) 780 3 Primary 18030 4 Junior/Senior 4521 5 Certificate /Training (Vocational or Literacy 712 6 Diploma/Degree/Post Graduate 565 7 Don't Know 4 8 Other (Specify) 0 9 structural Missing 0 Sysmiss 3379 ability to read and write Can [NAME] read and write in any language? 23867 11408 1 Yes 16281 2 No 7586 Sysmiss 11408 Main economic activity in the last 12 months What was [NAME]'s main economic activity in the last 12 months? 23766 11509 1 Crop Production 11257 2 Livestock Production 266 3 Other agricultural activities 62 4 Horticulture 0 5 Trader 551 6 Artisan - worker in a skilled trade 207 7 Agricultural paid job outside the holding 118 8 Non-agricultural paid job 1545 9 No activity - looking for work 153 10 No activity - not looking for work 479 11 Student 8796 12 Household work 332 13 structural Missing 0 Sysmiss 11509 Employment status in the main activity 14075 21200 1 Own Account Worker (independent) 9523 2 Employer 49 3 Salaried Worker 1006 4 Task Worker 806 5 Unpaid Family Member 2652 6 Trainee/Volunteer/Intern 34 7 Member of a Cooperative 4 8 Other (Specify) 1 Sysmiss 21200 if hh member belongs to a farmers’ group Does [NAME] belong to a farmers’ group? 18194 17081 1 Yes 1042 2 No 17152 Sysmiss 17081 Household Id 1824 0 enumeration Area code 1824 0 10101 42906 28740.078 12187.929 Calibrated weight 1824 0 227.697 3444.184 1010.756 456.324 Region 1824 0 1 Central Region 336 2 Eastern Region 636 3 Northern Region 29 4 Western Region 823 Sub-Region 1824 0 1 South Buganda 196 2 North Buganda 140 3 West Nile 20 4 Lango 0 5 Acholi 4 6 Kigezi 252 7 Bunyoro 20 8 Tooro 15 9 Busoga 35 10 Teso 262 11 Bukedi 29 12 Elgon 310 13 Karamoja 5 14 Ankole 536 Zardi 1824 0 1 Abi 20 2 Buginyanya 374 3 Bulindi 20 4 Kachwekano 252 5 Mukono 296 6 Ngetta 4 7 Nubin 5 8 Serere 262 9 Mbarara 576 10 Rwebitaba 15 Parcel ID 1824 0 1 1258 2 344 3 124 4 63 5 24 6 6 7 3 9 1 10 1 Plot ID 1824 0 1 1442 2 236 3 98 4 22 5 19 6 3 7 4 Organic fertilizer ID 1824 0 1 Commercial organic fertilizer (e.g. Fertiplus, Biochar) 15 2 Animal droppings 898 3 Animal or human urine 15 4 Animals on plot overnight 124 5 Chicken and other bird droppings 123 6 Plant residue/compost 549 7 Green plant cover crops 53 8 Ash 30 9 Municipal waste/rubbish 14 10 Sewage/sludge 0 99 Other (specify) 3 unit of measure for the organic fertilizer applied What is the unit of measure of [ORGANIC FERTILIZER] that was applied? 1647 177 1 Litre 18 2 Kilogram (KG) 43 3 Basin 452 4 Wheel barrow 247 5 Sack small 49 6 Sack large 699 7 Pickup truck 36 8 Truck Elf 99 9 Don't Know 0 99 Other (Specify) 4 Sysmiss 177 OTHER unit of measure for [ORGANIC FERTILIZER] 0 0 unit of measure for organic fertilizer bought Unit of measure of the [ORGANIC FERTILIZER] that was bought 185 1639 1 Litre 13 2 Kilogram (KG) 1 3 Basin 9 4 Wheel barrow 4 5 Sack small 9 6 Sack large 77 7 Pickup truck 17 8 Truck Elf 52 9 Don't Know 0 99 Other (Specify) 3 Sysmiss 1639 OTHER unit of measure for [ORGANIC FERTILIZER] 3 0 militre 1 millitre 1 tipper truck 1 Quantity of organic fertilizer that was bought Unit of measure of the [ORGANIC FERTILIZER] that was bought 185 1639 0.5 300 9.408 27.338 quantity of organic fertilizer applied on plot 1647 177 0.25 300 8.735 17.955 What was the cost in SHS of one [ORGANIC FERTILIZER UNIT] of [ORGANIC FERTILIZER] purchased for this [PLOT NAME]? 185 1639 200 700000 50724.865 89392.897 source of organic fertilizer:Home made How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1647 177 0 No 254 1 Yes 1393 Sysmiss 177 source of organic fertilizer:Purchased How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1647 177 0 No 1462 1 Yes 185 Sysmiss 177 source of organic fertilizer:Received for free How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1647 177 0 No 1558 1 Yes 89 Sysmiss 177 source of organic fertilizer:Animals on plot overnight How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1647 177 0 No 1644 1 Yes 3 Sysmiss 177 source of organic fertilizer:Other (specify) How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 1647 177 0 No 1647 1 Yes 0 Sysmiss 177 Household Id 11507 0 enumeration Area code 11507 0 10101 42906 28733.657 10729.233 Calibrated weight 11507 0 162.017 5054.672 1028.3 500.443 Region 11507 0 1 Central 1819 2 Eastern 3040 3 Northern 3031 4 Western 3617 Sub region 11507 0 1 South Buganda 758 2 North Buganda 1061 3 West Nile 950 4 Lango 809 5 Acholi 753 6 Kigezi 830 7 Bunyoro 893 8 Tooro 903 9 Busoga 872 10 Teso 757 11 Bukedi 750 12 Elgon 661 13 Karamoja 519 14 Ankole 991 Zardi 11507 0 1 Abi 950 2 Buginyanya 2283 3 Kachwekano 0 4 Bulindi 893 5 Kachwekano 830 6 Mukono 1583 7 Ngetta 1562 8 Nubin 519 9 Serere 757 10 Mbarara 1227 11 Rwebitaba 903 Agricultural activity id 11499 8 1 Crop Growing 6214 2 Livestock/Poultry Rearing 4821 3 Aquaculture - Fish Farming 2 4 Apiculture - Bee Keeping 145 5 Agro-Forestry 317 Sysmiss 8 hh members who participated in enterprise 11507 0 1 Only males 891 2 Only females 1412 3 Mostly males 1477 4 Mostly females 2243 5 Men and women equally 5484 main purpose of the enterprise 11507 0 1 Only for sale 1310 2 Mainly for sale with some own consumption 3634 3 Mainly for own consumption and some for sale 5458 4 Only for own consumption 1105 Household Id 30603 0 enumeration Area code 30603 0 10101 42906 29109.017 11049.468 Calibrated weight 30603 0 162.017 5054.672 1029.875 469.201 Region 30603 0 1 Central 5008 2 Eastern 7791 3 Northern 7034 4 Western 10770 Sub region 30603 0 1 South Buganda 1875 2 North Buganda 3133 3 West Nile 2782 4 Lango 1952 5 Acholi 1691 6 Kigezi 1828 7 Bunyoro 3130 8 Tooro 2564 9 Busoga 1937 10 Teso 2261 11 Bukedi 1675 12 Elgon 1918 13 Karamoja 609 14 Ankole 3248 Zardi 30603 0 1 Abi 2782 2 Buginyanya 5530 3 Kachwekano 0 4 Bulindi 3130 5 Kachwekano 1828 6 Mukono 4402 7 Ngetta 3643 8 Nubin 609 9 Serere 2261 10 Mbarara 3854 11 Rwebitaba 2564 Parcel id 30603 0 1 19214 2 7644 3 2596 4 796 5 244 6 75 7 20 8 8 9 4 10 2 Plot id 30603 0 1 18773 2 6460 3 2844 4 1346 5 649 6 279 7 131 8 60 9 24 10 14 11 9 12 4 13 7 14 3 Crop ID 30603 0 1 19425 2 8193 3 2237 4 615 5 131 6 2 Crop name What crops are being grown (or will be grown) on [PLOT NAME] plot? 30603 0 112 Maize 6459 113 Rice 289 114 Sorghum 1510 118 Millet 858 411 Soya Beans 593 421 Groundnuts 2165 437 Simsim 401 511 Irish Potatoes 513 521 Sweet Potatoes 2421 531 Cassava 4950 711 Beans 4192 3121 Banana (Food) 3672 3122 Banana (Sweet) 446 3123 Banana (Beer) 0 6111 Coffee Arabica (old) 524 6112 Coffee Robusta (old) 1240 6113 Coffee Arabica (new) 72 6114 Coffee Robusta (clonal) 298 for parcel rented in, ask if crop was planted by holding Was/were [CROP NAME] planted or owned by you / your household, or by someone else outside this household (e.g. landlord)? 5388 25215 1 Yes, planted / owned by me or household 5296 2 No, planted / owned by someone else 92 Sysmiss 25215 Is crop already planted Has/Have [CROP NAME] already been planted? 21824 8779 1 Yes, crop has already been planted 21784 2 No, crop has not been planted yet 40 Sysmiss 8779 In which month will you/your household plant crop on this plot? In which month will you/your household plant [CROP NAME] on this [PLOT NAME] plot? 40 30563 0 Don't Know 0 1 January 0 2 February 0 3 March 0 4 April 0 5 May 0 6 June 1 7 July 16 8 August 19 9 September 4 10 October 0 11 November 0 12 December 0 Sysmiss 30563 71 30532 1 Yes 70 2 No 1 Sysmiss 30532 Year when the crop was planted In which year was/were [CROP NAME] planted on this [PLOT NAME] plot? 30287 316 -98 Don't Know / Don't Recall 1129 1952 2 1954 1 1955 1 1956 4 1957 3 1958 1 1959 3 1960 16 1961 2 1962 5 1963 4 1964 3 1965 8 1967 4 1968 4 1969 14 1970 21 1971 4 1972 16 1973 9 1974 11 1975 4 1976 6 1977 10 1978 14 1979 12 1980 40 1981 14 1982 12 1983 16 1984 22 1985 34 1986 35 1987 15 1988 27 1989 31 1990 67 1991 20 1992 33 1993 22 1994 38 1995 52 1996 63 1997 45 1998 67 1999 85 2000 162 2001 51 2002 70 2003 80 2004 121 2005 115 2006 74 2007 103 2008 154 2009 179 2010 170 2011 135 2012 157 2013 211 2014 305 2015 378 2016 427 2017 659 2018 2157 2019 22530 Sysmiss 316 Month when crop was planted In which month was/were [CROP NAME] planted (or will be planted) on this [PLOT NAME] plot? 30287 316 0 Don't Remember/Don't Know 2297 1 January 614 2 February 2170 3 March 9063 4 April 7987 5 May 3685 6 June 1765 7 July 605 8 August 725 9 September 654 10 October 333 11 November 249 12 December 140 Sysmiss 316 Did you use any seed/seedling in the current agricultural season for this crop? Did you use any seed/seedling in the current agricultural season for [CROP NAME] on this [PLOT NAME] plot? 30288 315 1 Yes 23592 2 No 6696 Sysmiss 315 Seed Type 23581 7022 1 Traditional seeds 21735 2 Improved seeds 1707 3 Don't know 139 Sysmiss 7022 main source of seed What is the main source of the seed/seedling used for [CROP NAME] ON [PLOT NAME] plot? 23581 7022 1 Local retail shop/market/kiosk 5928 2 Input Supplier 919 3 Government (NAADS/Operation Wealth Creation) 385 4 Farmers group 29 5 Research center 26 6 Relative / Neighbour 2343 7 Other farmer(s) 1496 8 Non Government Organization (NGO) 69 9 Own farm/Garden 12386 Sysmiss 7022 Did you purchase any seed/seedlings for this crop? Did you purchase any seed/seedlings for this [CROP NAME] on this [PLOT NAME] plot? 23581 7022 1 Yes 8140 2 No 15441 Sysmiss 7022 Quantity of seeds planted (tonnes) How much of the quantity applied to [CROP NAME] on this [PLOT NAME] plot has been purchased? 16196 14407 1e-05 400 0.0368 3.143 Total quantity of seed purchased by AgHH Select the unit for the quantity of seeds purchased 7031 23572 -0.098 0.66 0.0113 0.024 Total cost of seed purchased by HH What was the cost of one [UNIT OF MEASURE] of the purchased seeds/seedlings used for [CROP NAME] on this [PLOT NAME] plot, in SHS? 8133 22470 1 2400000 9554.101 38829.15 Do you have to plant seeds every season? 30288 315 1 Yes 2166 2 No 28122 Sysmiss 315 In which year will [CROP NAME] be planted on this [PLOT NAME] plot? 232 30371 2018 2018 0 2019 2019 232 2020 2020 0 2021 2021 0 Sysmiss 30371 In which month do you expect to plant [CROP NAME] on this [PLOT NAME] plot? 232 30371 1 January 0 2 February 0 3 March 0 4 April 0 5 May 0 6 June 8 7 July 118 8 August 83 9 September 23 10 October 0 11 November 0 12 December 0 Sysmiss 30371 Household Id 35300 0 enumeration Area code 35300 0 10101 42906 28618.346 10736.342 Calibrated weight 35300 0 162.017 5054.672 1029.074 505.548 Member ID 35300 0 1 6271 2 5962 3 5580 4 4901 5 4004 6 3070 7 2145 8 1411 9 890 10 518 11 284 12 169 13 95 Region 35300 0 1 Central 5536 2 Eastern 9810 3 Northern 8872 4 Western 11082 Sub region 35300 0 1 South Buganda 2535 2 North Buganda 3001 3 West Nile 2727 4 Lango 2221 5 Acholi 2419 6 Kigezi 2252 7 Bunyoro 2691 8 Tooro 2815 9 Busoga 2622 10 Teso 2625 11 Bukedi 2579 12 Elgon 1984 13 Karamoja 1505 14 Ankole 3324 zardi 35300 0 1 Abi 2727 2 Buginyanya 7185 3 Kachwekano 0 4 Bulindi 2691 5 Kachwekano 2252 6 Mukono 4754 7 Ngetta 4640 8 Nubin 1505 9 Serere 2625 10 Mbarara 4106 11 Rwebitaba 2815 sex of household member What is the sex of [NAME]? 35300 0 1 Male 17405 2 Female 17895 Relationship to Head What is [NAME]'s relationship to household head? 35300 0 1 Head 6272 2 Spouse 4522 3 Son/Daughter/Step Child 19439 4 Parent 141 5 Other Relative 4593 6 Non-Relative 333 Age How old is [NAME] in completed years? 35300 0 0 65 20.515 17.224 residential status What is the residential status of [NAME]? 35300 0 1 Usual Member 32600 2 Regular Member 2588 3 Guest 112 marital status What is [NAME]'s current marital status? 23876 11424 1 Married 9872 2 Divorced/ Separated 998 3 Widowed 1155 4 Never been married 11851 Sysmiss 11424 educational attainment 32253 3047 1 Nursery or never been to school 7276 2 Did not complete Primary One (P1) 820 3 Primary 18149 4 Junior/Senior 4598 5 Certificate /Training (Vocational or Literacy 778 6 Diploma/Degree/Post Graduate 624 7 Don't Know 8 8 Other (Specify) 0 Sysmiss 3047 ability to read and write Can [NAME] read and write in any language? 23866 11434 1 Yes 16333 2 No 7533 Sysmiss 11434 Main economic activity in the last 12 months What was [NAME]'s main economic activity in the last 12 months? 23874 11426 1 Crop Production 11300 2 Livestock Production 271 3 Other agricultural activities 54 4 Horticulture 0 5 Trader 553 6 Artisan - worker in a skilled trade 219 7 Agricultural paid job outside the holding 127 8 Non-agricultural paid job 1547 9 No activity - looking for work 173 10 No activity - not looking for work 468 11 Student 8823 12 Household work 339 Sysmiss 11426 Employment status in the main activity 14410 20890 1 Own Account Worker (independent) 9578 2 Employer 57 3 Salaried Worker 1042 4 Task Worker 793 5 Unpaid Family Member 2900 6 Trainee/Volunteer/Intern 36 7 Member of a Cooperative 4 8 Other (Specify) 0 Sysmiss 20890 if hh member belongs to a farmers’ group Does [NAME] belong to a farmers’ group? 18179 17121 1 Yes 1057 2 No 17122 Sysmiss 17121 Household Id 13434 0 enumeration Area code 13434 0 10101 42906 29621.603 10458.316 Calibrated weight 13434 0 162.017 5054.672 999.496 475.346 Region 13434 0 1 Central 1824 2 Eastern 3227 3 Northern 3895 4 Western 4488 Sub region 13434 0 1 South Buganda 817 2 North Buganda 1007 3 West Nile 1248 4 Lango 798 5 Acholi 1218 6 Kigezi 1255 7 Bunyoro 837 8 Tooro 973 9 Busoga 806 10 Teso 705 11 Bukedi 866 12 Elgon 850 13 Karamoja 631 14 Ankole 1423 Zardi 13434 0 1 Abi 1248 2 Buginyanya 2522 3 Kachwekano 0 4 Bulindi 837 5 Kachwekano 1255 6 Mukono 1562 7 Ngetta 2016 8 Nubin 631 9 Serere 705 10 Mbarara 1685 11 Rwebitaba 973 Parcel ID 13434 0 1 6249 2 4231 3 1864 4 713 5 244 6 88 7 24 8 13 9 4 10 2 11 1 12 1 Parcel Manager: 1 13431 3 1 12554 2 825 3 28 4 7 5 5 6 3 7 6 8 1 10 1 11 1 Sysmiss 3 Parcel Manager: 2 6719 6715 1 77 2 6483 3 99 4 32 5 11 6 7 7 4 8 5 11 1 Sysmiss 6715 Parcel Manager: 3 175 13259 2 14 3 100 4 33 5 9 6 5 7 10 8 1 9 3 Sysmiss 13259 if whole or part of parcel is freshly cleared i.e. was bush before this season Was the whole, or part, of [PARCEL NAME] a bush before this season? 13434 0 1 Yes, the whole parcel was bush before this season 561 2 Yes, a proportion of the parcel was bush before this season 485 3 No, the parcel was not bush before this season 12388 what proportion of the parcel was bush before this season? 485 12949 1 10% 41 2 20% 42 3 One quarter 67 4 30% 46 5 40% 36 6 A half 101 7 60% 32 8 70% 36 9 Three quarters 31 10 80% 22 11 90% 31 Sysmiss 12949 What proportion of the bush has been cleared this season? What proportion of the bush has been cleared this season? 1011 12423 1 10% 145 2 20% 51 3 One quarter 49 4 30% 35 5 40% 17 6 A half 61 7 60% 14 8 70% 30 9 Three quarters 50 10 80% 75 11 90% 80 12 100% 404 Sysmiss 12423 Parcel Area based on farmer declaration (acres) 13434 0 0.001 1000 1.712 11.074 user rights of the household on the parcel What is the household's use-right on this [PARCEL NAME]? 13434 0 1 Owned 10386 2 Rented for an agreed amount of money 1958 3 Rented for share of produce 76 4 Rented in exchange for services 55 5 Borrowed for free 889 6 Just walked in 64 7 Leased in 6 8 Other (Specify) 0 how parcel was acquired How did your household acquire this [PARCEL NAME] parcel? 11339 2095 1 Purchased 3513 2 Inherited after the death of a family member 1242 3 Allocated by family 5832 4 Allocated by clan/traditional authority 445 5 Allocated from Local Government 61 6 Gift from non-household member 9 7 Other Government program 1 8 Squatting 72 9 Other (Specify) 58 10 Allocated By Institution 15 11 Allocated by a Non-household member 91 Sysmiss 2095 year of acquisition of parcel In what year was this [PARCEL NAME] acquired? 13433 0 1918 1 1936 1 1939 1 1940 3 1941 1 1944 2 1945 4 1946 1 1948 1 1949 2 1950 3 1952 2 1953 1 1954 11 1955 7 1956 7 1957 8 1958 6 1959 10 1960 52 1961 10 1962 28 1963 10 1964 19 1965 16 1966 9 1967 16 1968 33 1969 37 1970 63 1971 34 1972 47 1973 25 1974 46 1975 47 1976 37 1977 33 1978 45 1979 72 1980 156 1981 35 1982 90 1983 79 1984 89 1985 80 1986 149 1987 83 1988 97 1989 183 1990 208 1991 100 1992 122 1993 93 1994 149 1995 169 1996 188 1997 133 1998 188 1999 246 2000 459 2001 166 2002 202 2003 193 2004 258 2005 295 2006 216 2007 287 2008 328 2009 404 2010 376 2011 319 2012 378 2013 421 2014 641 2015 593 2016 789 2017 797 2018 1124 2019 1049 Don't Know / Don't Remember 750 tenure system of the parcel What is the tenure system on the [PARCEL NAME]? 11337 2097 1 Freehold 1229 2 Leasehold 39 3 Mailo 1307 4 Customary 8321 5 Public land 242 6 Don't know 198 7 Other (Specify) 1 Sysmiss 2097 if hh has documentation 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? 13433 1 1 Yes 3683 2 No 9240 3 Don't know 510 Sysmiss 1 Type of first official document for the parcel What type of document does your household have for this [PARCEL NAME]? 3683 9751 1 Title Deed 232 2 Certificate of Customary Ownership 51 3 Certificate of Occupancy 56 4 Certificate of Hereditary Acquisition 64 5 Written Sale Agreement 3068 6 Rental Contract 92 7 Lease Contract 10 8 Will 105 9 Other (Specify) 5 Sysmiss 9751 if first document was registered with the authorities Was this document issued by legal authorities or registered with legal authorities? 3683 9751 1 Yes 3015 2 No 648 3 Don't know 20 Sysmiss 9751 is any household member listed on the official document 1? Is any household member listed on the document as the owner or use rights holder? 3682 9752 1 Yes 3280 2 No, extended family members appear on the document 261 3 No, neither household members, nor extended family members appear on document 122 4 Refused to tell 3 5 Don't Know 16 Sysmiss 9752 First Document Owner: 1 3280 10154 1 3181 2 92 3 1 4 1 5 2 7 2 9 1 Sysmiss 10154 First Document Owner: 2 660 12774 1 21 2 613 3 12 4 7 5 1 6 3 7 3 Sysmiss 12774 First Document Owner: 3 17 13417 2 1 3 9 4 2 5 4 10 1 Sysmiss 13417 Does a second official document exist for the parcel? Is there a second official document for [PARCEL NAME]? 3686 9748 1 Yes 51 2 No 3635 Sysmiss 9748 Type of second official document for the parcel What type of second document does your household have for [PARCEL NAME]? 51 13383 1 Title Deed 8 2 Certificate of Customary Ownership 0 3 Certificate of Occupancy 0 4 Certificate of Hereditary Acquisition 2 5 Written Sale Agreement 37 6 Rental Contract 0 7 Lease Contract 1 8 Will 3 9 Other (Specify) 0 Sysmiss 13383 if second document was registered with the authorities Was this document issued by legal authorities or registered with legal authorities? 51 13383 1 Yes 44 2 No 7 3 Don't know 0 Sysmiss 13383 is any household member listed on the official document 2? Is any household member listed on the document as the owner or use rights holder? 51 13383 1 Yes 41 2 No, extended family members appear on the document 9 3 No, neither household members, nor extended family members appear on document 1 4 Refused to tell 0 5 Don't Know 0 Sysmiss 13383 Second Document Owner: 1 41 13393 1 41 Sysmiss 13393 Second Document Owner: 2 2 13432 2 2 Sysmiss 13432 Second Document Owner: 3 0 13434 Sysmiss 13434 can anyone in the HH sell the parcel? 11343 2091 1 Yes 7109 2 No 4234 Sysmiss 2091 Who can sell: 1 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 7107 6327 1 6937 2 153 3 7 4 1 5 2 6 4 7 1 8 1 9 1 Sysmiss 6327 Who can sell: 2 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 2460 10974 1 34 2 2370 3 28 4 6 5 5 6 6 7 6 8 4 9 1 Sysmiss 10974 Who can sell: 3 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 35 13399 2 2 3 25 4 7 7 1 Sysmiss 13399 can anyone in the HH use the parcel as collateral? Can anyone in the househod decide whether to use [PARCEL NAME] as a collateral either alone or with someone else? 11343 2091 1 Yes 7587 2 No 3756 Sysmiss 2091 Who can use as collateral: 1 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 7585 5849 1 7410 2 159 3 5 4 2 5 2 6 4 7 1 8 1 9 1 Sysmiss 5849 Who can use as collateral: 2 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 2704 10730 1 37 2 2606 3 34 4 4 5 6 6 4 7 8 8 4 9 1 Sysmiss 10730 Who can use as collateral: 3 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 43 13391 2 5 3 24 4 11 5 1 7 1 9 1 Sysmiss 13391 can anyone in the HH bequeath the parcel? Can anyone in the household bequeath [PARCEL NAME]? 11342 2092 1 Yes 8388 2 No 2954 Sysmiss 2092 Who can bequeath: 1 8386 5048 1 7809 2 431 3 90 4 35 5 8 6 8 8 4 9 1 Sysmiss 5048 Who can bequeath: 2 2018 11416 1 30 2 1879 3 68 4 12 5 10 6 5 7 6 8 6 9 1 13 1 Sysmiss 11416 Who can bequeath: 3 77 13357 2 4 3 22 4 39 5 8 6 2 9 2 Sysmiss 13357 Parcel area (ha) What is the area of [PARCEL NAME] in acres, using GPS device? 13434 0 0.000405 349.944 0.632 3.957 Household Id 28768 0 enumeration Area code 28768 0 10101 42906 29709.542 10396.806 Calibrated weight 28768 0 162.017 5054.672 1000.237 459.153 Region 28768 0 1 Central 3763 2 Eastern 6993 3 Northern 8406 4 Western 9606 Sub region 28768 0 1 South Buganda 1593 2 North Buganda 2170 3 West Nile 2555 4 Lango 2450 5 Acholi 2612 6 Kigezi 2108 7 Bunyoro 2542 8 Tooro 2269 9 Busoga 1722 10 Teso 2476 11 Bukedi 1596 12 Elgon 1199 13 Karamoja 789 14 Ankole 2687 Zardi 28768 0 1 Abi 2555 2 Buginyanya 4517 3 Kachwekano 0 4 Bulindi 2542 5 Kachwekano 2108 6 Mukono 3257 7 Ngetta 5062 8 Nubin 789 9 Serere 2476 10 Mbarara 3193 11 Rwebitaba 2269 Parcel ID PARCEL NAME 28768 0 1 18109 2 6686 3 2573 4 929 5 310 6 111 7 26 8 14 9 5 10 3 11 1 12 1 Plot ID PLOT ID 28768 0 1 13422 2 7227 3 3604 4 2064 5 1165 6 633 7 336 8 165 9 83 10 31 11 17 12 9 13 6 14 3 15 3 What stands on the plot What stands on [PLOT NAME]? 28768 0 1 Pure stand 11931 2 Mixed stand 9013 3 INTENDED pure stand (not planted yet) 178 4 INTENDED mixed stand (not planted yet) 37 5 REPLANTED Pure Stand 52 6 REPLANTED Mixed Stand 14 7 Fallow 1167 8 Left bare after ploughing 444 9 Farm building or Home Dwelling 5377 10 Pond for aquaculture 2 11 Grazing land 406 12 Nurseries 4 13 Trees 117 14 Forests 14 15 Other (specify) 12 Purpose of the farm building What is the main purpose of the farm building/structure on this [PLOT NAME]? 5379 23389 1 Dwelling 5320 2 Storing produce 13 3 Keeping poultry 10 4 Keeping other livestock 36 5 Not in use 0 6 Other (Specify) 0 Sysmiss 23389 did hh operate the plot last season too Was this [PLOT NAME] cultivated during the previous season by the household or by another party? 20597 8171 1 Yes 18969 2 No 1592 3 Don't know 36 Sysmiss 8171 Whether the plot manager is a HH member Is the plot manager for [PLOT NAME] a member of this household? 21224 7544 1 Yes 21140 2 No 84 Sysmiss 7544 First plot manager Who among the household members is the manager of [PLOT NAME]? 21140 7628 1 19107 2 1879 3 80 4 29 5 14 6 8 7 9 8 5 9 3 10 4 11 2 Sysmiss 7628 Second plot manager Who among the household members is the manager of [PLOT NAME]? 11457 17311 1 108 2 11031 3 200 4 68 5 23 6 9 7 2 8 9 9 3 10 1 11 3 Sysmiss 17311 Third plot manager Who among the household members is the manager of [PLOT NAME]? 367 28401 2 40 3 207 4 53 5 23 6 14 7 18 8 4 9 5 10 1 11 1 13 1 Sysmiss 28401 Whether who decides which inputs to use is a HH member Does the person who decides what kind of input is used in plot [PLOT NAME] and in which quantity live in this household? 21224 7544 1 Yes 21153 2 No 71 Sysmiss 7544 First person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 21153 7615 1 18983 2 2014 3 83 4 31 5 11 6 10 7 7 8 5 9 3 10 4 11 2 Sysmiss 7615 Second person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 11242 17526 1 105 2 10816 3 196 4 63 5 25 6 12 7 5 8 9 9 5 11 6 Sysmiss 17526 Third person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 254 28514 2 31 3 148 4 42 5 9 6 10 7 5 8 4 9 3 11 1 13 1 Sysmiss 28514 Whether the person who prepared the land of this plot lives in the household Does the person who prepared the land for planting on this [PLOT NAME] live in this household? 21224 7544 1 Yes 20381 2 No 843 Sysmiss 7544 First person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 20381 8387 1 17461 2 2616 3 161 4 40 5 28 6 23 7 20 8 8 9 2 10 14 11 7 13 1 Sysmiss 8387 Second person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 14011 14757 1 24 2.196 0.813 Third person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 2691 26077 2 24 3.848 1.695 land preparation method How was the land preparation done on this [PLOT NAME] plot? 21224 7544 1 Ridge till 1447 2 Mulch till 113 3 Planting holes/pits 1242 4 Zero tillage/ No tillage 1527 5 Conventional tillage 16895 6 Other (Specify) 0 Sysmiss 7544 Year in which the household adopted this method of land preparation In which year did you begin using the practice [TILLAGE METHOD] on this [PLOT NAME]? 21223 7545 1 Don't Know / Don't Recall 1132 2 1936 5 3 1940 4 4 1941 3 5 1944 2 6 1945 1 7 1949 2 8 1950 2 9 1952 3 10 1954 3 11 1955 4 12 1956 9 13 1957 7 14 1958 3 15 1959 17 16 1960 68 17 1961 9 18 1962 40 19 1963 20 20 1964 32 21 1965 31 22 1966 16 23 1967 21 24 1968 44 25 1969 70 26 1970 84 27 1971 45 28 1972 67 29 1973 39 30 1974 49 31 1975 47 32 1976 43 33 1977 49 34 1978 67 35 1979 103 36 1980 279 37 1981 72 38 1982 147 39 1983 115 40 1984 139 41 1985 91 42 1986 249 43 1987 105 44 1988 134 45 1989 254 46 1990 284 47 1991 129 48 1992 187 49 1993 122 50 1994 241 51 1995 224 52 1996 254 53 1997 175 54 1998 303 55 1999 347 56 2000 810 57 2001 271 58 2002 285 59 2003 261 60 2004 397 61 2005 401 62 2006 334 63 2007 450 64 2008 496 65 2009 513 66 2010 571 67 2011 447 68 2012 547 69 2013 649 70 2014 901 71 2015 959 72 2016 1362 73 2017 1439 74 2018 1928 75 2019 2210 Sysmiss 7545 Hand hoe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 633 2 Yes 20591 Sysmiss 7544 Forked hoe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 20252 2 Yes 972 Sysmiss 7544 Panga was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 12738 2 Yes 8486 Sysmiss 7544 Slasher/sickle was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 20571 2 Yes 653 Sysmiss 7544 Ox-Plough was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 16577 2 Yes 4647 Sysmiss 7544 Axe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 20988 2 Yes 236 Sysmiss 7544 Pick-Axe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 21217 2 Yes 7 Sysmiss 7544 Sprayer was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 21037 2 Yes 187 Sysmiss 7544 Jab Planter was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 21224 2 Yes 0 Sysmiss 7544 Ripper Planter was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21224 7544 1 No 21223 2 Yes 1 Sysmiss 7544 21222 7546 1 No 20934 2 Yes 288 3 structural Missing 0 Sysmiss 7546 Harrowing Stickwas used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 21223 7545 1 No 21163 2 Yes 60 Sysmiss 7545 if plot is in a swampy area Is this [PLOT NAME] plot in a swamp or wetland area? 21225 7543 1 Yes 985 2 No 20240 Sysmiss 7543 irrigation status of the plot Is irrigation carried out on this [PLOT NAME] plot? 21225 7543 1 Yes 202 2 No 21023 Sysmiss 7543 Plot area based on farmer declaration (acre) 28761 7 0.001 994 0.729 6.475 Plot area (ha) INTERVIEWER: Measure and record the area of the [PLOT NAME] plot, in acres 28768 0 0 349.098 0.266 2.28 Household Id 5559 0 enumeration Area code 5559 0 10101 42906 28926.939 11119.697 Calibrated weight 5559 0 227.697 5054.672 1060.083 522.146 Region Name 5559 0 1 Central Region 942 2 Eastern Region 1439 3 Northern Region 1220 4 Western Region 1958 sub region 5559 0 1 South Buganda 282 2 North Buganda 660 3 West Nile 276 4 Lango 513 5 Acholi 422 6 Kigezi 440 7 Bunyoro 485 8 Tooro 504 9 Busoga 291 10 Teso 423 11 Bukedi 311 12 Elgon 414 13 Karamoja 9 14 Ankole 529 Zardi 5559 0 1 Abi 276 2 Buginyanya 1016 3 Bulindi 485 4 Kachwekano 440 5 Mukono 849 6 Ngetta 935 7 Nubin 9 8 Serere 423 9 Mbarara 622 10 Rwebitaba 504 ACTIVITIES id 5542 17 1 Land preparation 1517 2 Planting 926 3 Weeding 1476 4 Mulching 32 5 Fertilizing/manure application 113 6 Spraying 198 7 Irrigation / watering 0 8 Pruning 48 9 Guarding of the garden 25 10 Harvesting, threshing, baling, picking, uprooting 703 11 Transporting produce from farm to home/store 314 12 Transporting produce from farm/home/ store to market 135 13 Drying, packing and storage 55 14 Other (Specify) 0 Sysmiss 17 Amount paid (cash) for the activity - cleaned 5559 0 0 3289488.738 83866.566 168474.738 Amount paid (in) for the activity - cleaned What was the amount of in-kind payments paid to hired labourers for performing [ACTIVITY NAME] in the last agricultural season (in SHS)? 5559 0 0 960000 7375.279 36388.619 Household Id 7943 0 enumeration Area code 7943 0 10101 42906 27790.537 9977.207 Calibrated weight 7943 0 162.017 5054.672 1005.9 470.384 Region Name 7943 0 1 Central Region 1102 2 Eastern Region 2577 3 Northern Region 2378 4 Western Region 1886 Sub region 7943 0 1 South Buganda 407 2 North Buganda 695 3 West Nile 554 4 Lango 701 5 Acholi 661 6 Kigezi 349 7 Bunyoro 496 8 Tooro 482 9 Busoga 514 10 Teso 808 11 Bukedi 644 12 Elgon 611 13 Karamoja 462 14 Ankole 559 Zardi 7943 0 1 Abi 554 2 Buginyanya 1769 3 Bulindi 496 4 Kachwekano 349 5 Mukono 966 6 Ngetta 1362 7 Nubin 462 8 Serere 808 9 Mbarara 695 10 Rwebitaba 482 ANIMAL_INPUT_COSTS__id 7943 0 1 1566 2 3139 3 3238 Q01: if hh has practiced controlled mating In the past 12 months, has this household practiced any controlled mating or other breeding strategy for [LIVESTOCK GROUP], such as selection of reproductive animals, artificial insemination, etc? 7943 0 1 Yes 553 2 No 7387 3 Don't know 3 Q02: asks if there are costs related to controlled mating In the past 12 months, has this household incurred any costs related to mating or breeding of [LIVESTOCK GROUP]? 553 7390 1 Yes 224 2 No 329 3 Don't know 0 Sysmiss 7390 Q03: monetary costs related to controlled mating, In the past 12 months, how much has the household paid for mating or breeding services for [LIVESTOCK GROUP] (in SHS)? 224 7719 1000 240000 27544.643 26587.494 Q04: major feeding practice:Zero grazing/Stall feeding 7943 0 0 6959 1 984 Q04: major feeding practice:Tethering 7943 0 0 4899 1 3044 Q04: major feeding practice:Ranching 7943 0 0 7908 1 35 Q04: major feeding practice:Fenced farm with paddocks 7943 0 0 7790 1 153 Q04: major feeding practice:Communal Grazing 7943 0 0 7253 1 690 Q04: major feeding practice:Free range/Scavenging 7943 0 0 3656 1 4287 Q04: major feeding practice:Intensive (Animals are strictly fed) 7943 0 0 7640 1 303 7943 0 0 6942 1 1001 Q05: ever paid to feed In the past 12 months, has this household ever paid to feed its [LIVESTOCK GROUP]? 7943 0 1 Yes 557 2 No 7386 Q06: total cost of feed bought for animals What was the total cost of the feed used for [LIVESTOCK GROUP] in the past 12 months (in SHS)? 557 7386 700 8000000 120686.535 415488.796 Q07: main source of water:Borehole / well 7943 0 0 No 2971 1 Yes 4972 main source of water:Valley Dam 7942 1 0 No 0 1 Yes 7505 2 437 Sysmiss 1 main source of water:Public stands 7940 3 0 No 0 1 Yes 7646 2 294 Sysmiss 3 main source of water:River/Lake/Spring/Stream 7938 5 0 No 0 1 Yes 5534 2 2404 Sysmiss 5 main source of water:Constructed small pans/ponds 7939 4 0 No 0 1 Yes 7248 2 691 Sysmiss 4 Q07: main source of water:Rainwater harvesting 7943 0 0 No 6171 1 Yes 1772 main source of water:Municipal Piped water onto holding (NWSC, MWE) 7934 9 0 No 0 1 Yes 7775 2 159 Sysmiss 9 Q08: if hh paid for water in reference period In the past 12 months, has this household ever paid for water for[LIVESTOCK GROUP]? 7943 0 1 Yes 313 2 No 7617 3 Don't know 13 Q09: amount in SHS paid for water How much has this household paid for water for [LIVESTOCK GROUP] in the past 12 months (in SHS)? 313 7630 100 960000 26702.556 82497.698 Q10: ever vaccinated animals In the past 12 months, has this household vaccinated any [LIVESTOCK GROUP]? 7943 0 1 Yes, all of them 1887 2 Yes, some of them 154 3 No 5902 Q11: vaccination cost SHS What was the total cost of vaccination, including vaccine and professional fees for [LIVESTOCK GROUP] in the past 12 months? 2040 5903 0 960000 25270.402 55505.195 Q12: ever treated for parasites In the past 12 months, has this household treated [LIVESTOCK GROUP] against internal and external parasites? 7943 0 1 Yes 2364 2 No 5579 Q13: cost for treating parasites What was the total cost of anti-parasite treatments for [LIVESTOCK GROUP] in the past 12 months? 2364 5579 0 2000000 31971.387 106981.812 Q14: if hh animals received any curative treatment In the past 12 months, have [LIVESTOCK GROUP] received any curative treatment? 7943 0 1 Yes 1536 2 No 6407 Q15: treatment cost SHS What was the total cost of treatments for [LIVESTOCK GROUP] in the past 12 months (in SHS)? 1535 6408 0 3000000 35079.153 114986.417 Q16: name of antiobiotic drug:Alamycin In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7842 101 0 1 0.0153 0.123 11 .A 101 Q16: name of antiobiotic drug:Asampro In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 3218 4725 0 1 0.00528 0.0725 11 .A 4725 Q16: name of antiobiotic drug:Betamox LA In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 1533 6410 0 1 0.06 0.238 11 .A 6410 Q16: name of antiobiotic drug:Dipen In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7870 73 0 1 0.0173 0.13 11 .A 73 Q16: name of antiobiotic drug:Gentamycin In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 1536 6407 0 1 0.0553 0.229 11 .A 6407 Q16: name of antiobiotic drug:Hitet 120 In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7850 93 0 1 0.0308 0.173 11 .A 93 Q16: name of antiobiotic drug:Limoxin In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 1530 6413 0 1 0.00784 0.0882 11 .A 6413 Q16: name of antiobiotic drug:Norodine In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7849 94 0 1 0.0136 0.116 11 .A 94 Q16: name of antiobiotic drug:Oxystar In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7844 99 0 1 0.0136 0.116 11 .A 99 Q16: name of antiobiotic drug:Oxytet In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7840 103 0 1 0.0203 0.141 11 .A 103 Q16: name of antiobiotic drug:Oxytetracycline In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7873 70 0 1 0.0824 0.275 11 .A 70 Q16: name of antiobiotic drug:Oxytravet Powder In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 3208 4735 0 1 0.0134 0.115 11 .A 4735 Q16: name of antiobiotic drug:Penstrep In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7844 99 0 1 0.0307 0.173 11 .A 99 Q16: name of antiobiotic drug:Tetroxy In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7842 101 0 1 0.0065 0.0804 11 .A 101 Q16: name of antiobiotic drug:Tylosin In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7836 107 0 1 0.0168 0.129 11 .A 107 Q16: name of antiobiotic drug:Other (Specify) In the past 12 months, has any member of your household used any of these medicines called antibiotics on [LIVESTOCK GROUP],such as… 7823 120 0 1 0.0579 0.234 11 .A 120 Q17: Main purpose for using antibiotics What was the main purpose for giving antibiotics to [LIVESTOCK GROUP]? 1801 6142 1 Curative treatment 939 2 To promote animal growth 118 3 As a preventive measure against disease 472 4 For vaccination purposes 268 8 Don't know 0 9 Other (Specify) 4 Sysmiss 6142 Q18: frequency of antibiotic treatment to animals In the last12 months, how often did you give antibiotics to your [LIVESTOCK GROUP]? 1801 6142 1 Regularly, at least once per week 51 2 Regularly, at least once per month 302 3 Occasionally 1102 4 Once 317 9 Don't know / Don't remember 29 Sysmiss 6142 Q19: source of advice on antibiotic application Who gave you advice to use antibiotics for [LIVESTOCK GROUP]? 1801 6142 1 NGO (Non Government Org) 3 2 Public Veterinary Officer 139 3 Private Veterinary Officer 924 4 Extension worker 52 5 Input dealer (drug shop, pharmacy) 177 6 MY OWN DECISION - CONSULTED NO ONE 489 9 Other (Specify) 17 Sysmiss 6142 Q20: # of household members caring for animals How many household members worked to keep, herd, milk [LIVESTOCK GROUP] in the last month? 7941 2 0 12 2.203 1.379 101 .A 2 Q21: # of days worked on looking after animals last month During the past month, what was the AVERAGE number of days worked by the household members to keep, herd, milk [LIVESTOCK GROUP]? 7660 283 0 250 32.283 16.668 Q22: hours per day hh members put in looking after animals During the past month, how many hours per day on average household members spent to keep, herd, milk [LIVESTOCK GROUP]? 7660 283 0 less than 1 hour per day / negligible time 4468 0.5 1 1 606 1.5 11 2 820 2.5 3 3 452 3.5 1 4 429 5 275 6 229 7 81 8 153 9 57 10 37 11 1 12 36 101 .A 1 Sysmiss 282 Q23: # of hired persons caring for animals in last month How many hired laborers worked to keep, herd, milk [LIVESTOCK GROUP] in the past month? 7939 4 0 5 0.0442 0.247 11 .A 4 Q24: days worked by hired laborers During the past month, what was the AVERAGE number of days worked by the hired laborers to keep, herd, milk [LIVESTOCK GROUP]? 305 7638 1 120 31.203 10.628 Q25: hours worked by hired members looking after animals During the past month, how many hours per day on average hired laborers spent to keep, herd, milk [LIVESTOCK GROUP]? 305 7638 0.1 12 5.31 3.037 Q26: amount paid to hired herders How much did you pay in total during the past month for keeping/herding/milking [LIVESTOCK GROUP] (in SHS)? 305 7638 1000 800000 59336.066 74095.529 Household Id 3694 0 enumeration Area code 3694 0 10101 42906 28218.853 9592.986 Calibrated weight 3694 0 162.017 5054.672 980.342 458.095 Region Name 3694 0 1 Central Region 429 2 Eastern Region 1179 3 Northern Region 1235 4 Western Region 851 Sub-Region 3694 0 1 South Buganda 172 2 North Buganda 257 3 West Nile 324 4 Lango 318 5 Acholi 311 6 Kigezi 183 7 Bunyoro 163 8 Tooro 216 9 Busoga 247 10 Teso 338 11 Bukedi 303 12 Elgon 291 13 Karamoja 282 14 Ankole 289 Zardi 3694 0 1 Abi 324 2 Buginyanya 841 3 Bulindi 163 4 Kachwekano 183 5 Mukono 371 6 Ngetta 629 7 Nubin 282 8 Serere 338 9 Mbarara 347 10 Rwebitaba 216 3694 0 1 1311 2 2383 Q01: if holding milked the animals Y/N Did you milk any [LIVESTOCK GROUP] in the last 12 months? 3694 0 1 Yes 676 2 No 3018 Q02: number of animals milked How many [LIVESTOCK GROUP] were milked in the past 12 months? 676 3018 1 480 3.33 20.519 Q03: months the animals were milked on average For how many months on average were the [LIVESTOCK GROUP] milked in the past 12 months? 676 3018 1 41 2 64 3 90 4 107 5 77 6 99 7 43 8 60 9 20 10 25 11 1 12 49 Sysmiss 3018 Q04: average quantity in LITERS of milk milked per day During these [NUMBER OF MONTHS] in which the [LIVESTOCK GROUP] were milked, what was the average quantity in LITERS milked per day? 675 3019 0.5 350 6.456 17.7 Q05: do the young animals suckle? In general, do you allow the calves to suckle directly from the milked [LIVESTOCK GROUP]? 676 3018 1 no suckling allowed 60 2 intermittent suckling 536 3 continuous suckling 80 Sysmiss 3018 Q06: average consumption of milk by hh: liters 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? 676 3018 0 30 2.55 2.313 Q07: Liters of milk sold per day on average Out of the total milk produced daily on average from [LIVESTOCK GROUP], how many litres are sold daily in the form of liquid milk? 676 3018 0 343 3.669 16.356 Q08: price of a liter of milk in SHS What is the price of one liter of milk you produced from [LIVESTOCK GROUP]? 268 3426 250 2000 958.769 266.598 Q09: SHS earnings from selling milk/week How much did you earn from selling [LIVESTOCK GROUP] milk per week, in SHS? 268 3426 2000 1680700 49620.896 124015.369 Q10: qty of milk processed further 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)? 676 3018 0 653 0.5 1 1 6 2 1 3 3 4 2 4.5 1 5 5 6 1 8 1 10 1 18 1 Sysmiss 3018 Q11: SHS earnings from selling milk products/week 23 3671 0 189000 22339.13 42497.591 Q12: main milk market Where is most of the milk and milk products from [LIVESTOCK GROUP] sold? 270 3424 1 Wholesale at the market 5 2 Retail sale at the market 17 3 Wholesale sale at the farm or home 74 4 Retail sale at the farm or home 117 5 Direct delivery to the consumer 46 6 Production Contract 9 9 Other (Specify) 2 Sysmiss 3424 Q13: MAIN MILK BUYER Who mostly buys the milk and milk products from [LIVESTOCK GROUP]? 270 3424 1 Government 0 2 local organization/institution 2 3 private trader 71 4 consumer 132 5 neighbours 62 6 relative 0 7 cooperative union 3 9 Other (Specify) 0 Sysmiss 3424 Q14: Household members controlling revenue from milk and milk products Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 259 3435 1 230 2 27 3 2 Sysmiss 3435 Q14: Household members controlling revenue from milk and milk products Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 132 3562 2 124 3 4 4 4 Sysmiss 3562 Q14: Household members controlling revenue from milk and milk products Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 0 3694 Sysmiss 3694 Q14: Household members controlling revenue from milk and milk products Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 0 3694 Sysmiss 3694 Q14: Household members controlling revenue from milk and milk products Who, among household members, controls the revenue obtained from selling milk and milk products from [LIVESTOCK GROUP]? 0 3694 Sysmiss 3694 Q15: any constraints in milk commercialization: Y/N Has the household experienced constraints in the commercialization of milk and milk products from [LIVESTOCK GROUP] in the past 12 months? 270 3424 1 Yes 103 2 No 167 Sysmiss 3424 Q16: milk commercialization constraint What was the most important constraint concerning the commercialization of milk and milk products from [LIVESTOCK GROUP] in the past 12 months? 103 3591 1 Poor access to market (eg. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 11 2 Low profitability (saturation of the market, low prices) 67 3 Cold chain (processing, packaging, storage / storage) 0 4 Low production or low quality 25 9 Other (Specify) 0 Sysmiss 3591 Household Id 11087 0 enumeration Area code 11087 0 10101 42906 27768.491 9888.671 Calibrated weight 11087 0 162.017 5054.672 992.4 467.039 Region Name 11087 0 1 Central Region 1511 2 Eastern Region 3610 3 Northern Region 3415 4 Western Region 2551 Sub-Region 11087 0 1 South Buganda 560 2 North Buganda 951 3 West Nile 728 4 Lango 911 5 Acholi 967 6 Kigezi 469 7 Bunyoro 648 8 Tooro 583 9 Busoga 680 10 Teso 1260 11 Bukedi 864 12 Elgon 806 13 Karamoja 809 14 Ankole 851 Zardi 11087 0 1 Abi 728 2 Buginyanya 2350 3 Bulindi 648 4 Kachwekano 469 5 Mukono 1312 6 Ngetta 1878 7 Nubin 809 8 Serere 1260 9 Mbarara 1050 10 Rwebitaba 583 Id in ANIMALS Did you raise/keep any of the following animals in the last 12 months? 11087 0 101 Calves (9 months or less) 743 103 Bulls 518 105 Steers 95 107 Oxen 326 109 Heifers 483 111 Cows 1132 114 Donkeys 10 116 Horses 0 118 Camels 0 201 Goats 2383 204 Sheep 492 206 Pigs 1247 301 Broilers (Exotic/cross chicken) 49 302 Kuroilers (Exotic Dual purpose) 33 303 Layers (Exotic/cross chicken) 23 304 Indigenous chicken dual - purpose 3058 305 Turkeys 73 306 Ducks 317 307 Geese 1 308 Guinea Fowls 15 309 Rabbits 89 animal type (1 large, 2 small, 3 poultry) 11087 0 1 Large 3307 2 Small 4122 3 Poultry 3658 Q03: # of animals currently in stock 11087 0 0 450 5.484 11.841 Q04: # of animals owned by hh 10225 862 0 450 5.761 12.14 Q04: Out of these [LIVESTOCK TYPE] kept/raised, how many are female? 3464 7623 0 60 4.292 4.893 Q05: Out of the female [LIVESTOCK TYPE] kept/raised, how many are laying? 3141 7946 0 1508 1 695 2 542 3 205 4 72 5 62 6 22 7 13 8 7 9 2 10 4 11 2 12 6 15 1 Sysmiss 7946 Q05: number of exotic animals owned by hh Out of these [LIVESTOCK TYPE] kept/raised, how many [LIVESTOCK TYPE] are exotic or cross-breed? 5683 5404 0 65 0.378 2.189 Q06: # of animals owned by women How many of the [LIVESTOCK TYPE NUMER] kept belong to women? 9927 1160 0 450 2.559 10.526 Q07: if hh has animals kept elsewhere Do you or any member of your household own any [LIVESTOCK TYPE] kept by someone else outside this household? 11087 0 1 Yes 736 2 No 10351 Q08: # of animals kept elsewhere How many of such [LIVESTOCK TYPE ] are owned by you or your household, but are kept by someone else? 736 10351 1 400 4.382 15.938 Q09: # of animals owned in the past How many [LIVESTOCK TYPE] did you keep exactly 12 months ago? 11087 0 0 1900 5.143 22.008 Q10: # of animals born During the last 12 months, how many [LIVESTOCK TYPE] were born to the household? 8533 2554 0 200 3.818 7.076 Q11: Livestock received as gift During the last 12 months, how many [LIVESTOCK TYPE] were received as gifts, dowry or in-kind payment? 11087 0 0 10820 1 158 2 58 3 25 4 9 5 7 6 2 7 2 8 2 9 1 10 3 Q12: # of animals bought by household During the last 12 months, how many [LIVESTOCK TYPE] did you buy? 11087 0 0 300 0.465 5.64 Q13: Price of animal type bought last What was the price of the last [LIVESTOCK TYPE] you bought? 1738 9349 1000 2300000 146107.94 257585.23 Q14: Livestock type that were given away as gift or dowry. During the last 12 months, how many [LIVESTOCK TYPE] were given away as gifts, dowry or in-kind payment? 11087 0 0 10673 1 190 2 89 3 55 4 26 5 19 6 8 7 7 8 4 10 7 12 1 13 1 14 1 15 2 16 1 18 1 20 2 Q15: # of animals that died or were stolen or lost During the last 12 months how many [LIVESTOCK TYPE] died for any reason (illness, accident, etc) or were lost due to theft? 11087 0 0 112 1.708 5.099 Q16: If household sold animal type Did the household sell any [LIVESTOCK TYPE] during the last 12 months? 11087 0 1 Yes 2084 2 No 8984 3 Don't know 19 Q17: Number of animals sold During the last 12 months, how many [LIVESTOCK TYPE] did you/the household sell? 2084 9003 1 1900 4.879 43.695 Q18: Price received for the animal last sold What was the price in SHS of the last [LIVESTOCK TYPE] you sold? 2083 9004 4000 4250000 238206.433 398223.23 Q19: Household members deciding on use of earnings 2008 9079 1 1768 2 218 3 12 4 3 5 4 6 2 11 1 Sysmiss 9079 Q19: Household members deciding on use of earnings 1055 10032 2 1027 3 15 4 7 5 1 6 3 7 1 12 1 Sysmiss 10032 Q19: Household members deciding on use of earnings 24 11063 3 15 4 7 5 1 7 1 Sysmiss 11063 Q19: Household members deciding on use of earnings 1 11086 4 1 Sysmiss 11086 Q19: Household members deciding on use of earnings 0 11087 Sysmiss 11087 Q20: If hh slaughtered any animals in the relevant reference period During the 12 months, did the household slaughter any [LIVESTOCK TYPE] either at a slaughter center or home? 11077 10 1 Yes 1261 2 No 9816 Sysmiss 10 Q21: Number of animals slaughtered How many [LIVESTOCK TYPE] did you slaughter during the last 12 months? 1261 9826 1 25 2.773 2.401 Q22: Household members deciding on disposing off of livestock 10648 439 1 9457 2 1083 3 46 4 26 5 16 6 7 7 4 8 1 9 4 11 4 Sysmiss 439 Q22: Household members deciding on disposing off of livestock 5996 5091 1 30 2 5707 3 157 4 49 5 31 6 14 7 2 8 1 9 2 12 3 Sysmiss 5091 Q22: Household members deciding on disposing off of livestock 342 10745 3 263 4 40 5 21 6 13 7 4 8 1 Sysmiss 10745 Q22: Household members deciding on disposing off of livestock 0 11087 Sysmiss 11087 Q22: Household members deciding on disposing off of livestock 0 11087 Sysmiss 11087 Q23: Main purpose for raising animal type 11087 0 1 Food for household consumption 1082 2 Sale of animals or livestock products 7102 3 As a source for manure 144 4 Draught power / transport / ploughing 462 5 Raise them to maturity 2176 9 Other (Specify) 121 Household Id 1221 0 enumeration Area code 1221 0 10301 42808 27259.768 10149.197 Calibrated weight 1221 0 162.017 3979.765 1028.655 490.007 Region Name 1221 0 1 Central Region 226 2 Eastern Region 292 3 Northern Region 466 4 Western Region 237 Sub-Region 1221 0 1 South Buganda 39 2 North Buganda 187 3 West Nile 97 4 Lango 140 5 Acholi 194 6 Kigezi 19 7 Bunyoro 122 8 Tooro 35 9 Busoga 84 10 Teso 43 11 Bukedi 74 12 Elgon 91 13 Karamoja 35 14 Ankole 61 Zardi 1221 0 1 Abi 97 2 Buginyanya 249 3 Bulindi 122 4 Kachwekano 19 5 Mukono 212 6 Ngetta 334 7 Nubin 35 8 Serere 43 9 Mbarara 75 10 Rwebitaba 35 1221 0 101 19 102 112 103 1090 Q01: average live weight in KGs 1220 1 1 255 5.624 17.128 Q02: if holding sold meat from animal type in last 12 months 1220 1 1 Yes 15 2 No 1205 11 .A 1 Q03: Quantitty of meat sold (KGs) 15 1206 3 250 65.733 77.39 Q04: Amount earned from selling meat 15 1206 36000 3000000 634000 896333.484 Q05: Household members controlling revenue from meat 15 1206 1 11 2 4 Sysmiss 1206 Q05: Household members controlling revenue from meat 6 1215 2 5 5 1 Sysmiss 1215 Q05: Household members controlling revenue from meat 0 1221 Sysmiss 1221 Q05: Household members controlling revenue from meat 0 1221 Sysmiss 1221 Q05: Household members controlling revenue from meat 0 1221 Sysmiss 1221 Q06: major meat market 15 1206 1 Wholesale at the market 0 2 Retail sale at the market 9 3 Wholesale sale at the farm or home 1 4 Retail sale at the farm or home 5 5 Direct delivery to the consumer 0 6 Production Contract 0 9 Other (Specify) 0 Sysmiss 1206 Q07: main meat buyer 15 1206 1 Government 0 2 Local organization / Institution 0 3 Private Trader 1 4 Consumer 13 5 Neighbour 1 6 Relative 0 7 Cooperative Union 0 9 Other (Specify) 0 Sysmiss 1206 Q08: if holding has difficulty with meat commercalization 15 1206 1 Yes 4 2 No 11 Sysmiss 1206 Q09: main meat commercialization constraint 4 1217 1 poor access to market (e.g. distance, lack of roads, cost or lack of transport, poor organization of the industry chain) 0 2 low profitability (e.g. saturation of the market, low prices) 3 3 Cold chain (e.g. processing, packaging, storage) 0 4 low production or low quality 1 9 Other (Specify) 0 Sysmiss 1217 Household Id 1898 0 enumeration Area code 1898 0 10101 42906 26367.277 12423.639 Calibrated weight 1898 0 276.45 3979.765 1084.673 493.816 Region 1898 0 1 Central 548 2 Eastern 529 3 Northern 153 4 Western 668 Sub-Region 1898 0 1 South Buganda 196 2 North Buganda 352 3 West Nile 27 4 Lango 105 5 Acholi 20 6 Kigezi 182 7 Bunyoro 293 8 Tooro 154 9 Busoga 52 10 Teso 213 11 Bukedi 137 12 Elgon 127 13 Karamoja 1 14 Ankole 39 Zardi 1898 0 1 Abi 27 2 Buginyanya 316 3 Bulindi 293 4 Kachwekano 182 5 Mukono 485 6 Ngetta 125 7 Nubin 1 8 Serere 213 9 Mbarara 102 10 Rwebitaba 154 Parcel ID 1898 0 1 913 2 576 3 234 4 97 5 41 6 21 7 10 8 3 9 2 10 1 Plot ID 1898 0 1 966 2 496 3 237 4 102 5 57 6 19 7 13 8 3 9 1 10 1 11 1 13 2 Chemical ID 1898 0 1 Herbicides 502 2 Insecticides 1180 3 Fungicides 210 4 Rodenticides 6 How many times did you apply [CHEMICAL] on this plot in the 2019 second season? How many times did you apply [PESTICIDE TYPE] on [PLOT NAME]? 1898 0 1 26 2.771 2.939 source of chemical used:Purchased How did you obtain the [PESTICIDE TYPE] that was used? 1898 0 0 No 32 1 Yes 1866 source of chemical used:Received for free How did you obtain the [PESTICIDE TYPE] that was used? 1898 0 0 No 1865 1 Yes 33 source of chemical used:Other How did you obtain the [PESTICIDE TYPE] that was used? 1898 0 0 No 1898 1 Yes 0 Quantity of chemical applied in kg 290 1608 0.025 125 2.506 8.601 Quantity of chemical bought in kg 286 1612 0.025 125 2.929 8.928 Quantity of chemical applied in liters 1608 290 0.001 250 1.673 11.318 Quantity of chemical bought in liters 1580 318 0.001 400 2.097 16.421 Unit price of one kg of chemical What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 286 1612 45 300000 24627.43 30494.429 Unit price of one lt of chemical What was the unit cost of [PESTICIDE TYPE] purchased for this [PLOT NAME] (in SHS)? 1580 318 3 8000000 138847.818 710005.24 Household Id 21668 0 enumeration Area code 21668 0 10101 42906 29588.059 11800.193 Calibrated weight 21668 0 227.697 5054.672 1043.611 466.456 Region Name 21668 0 1 Central Region 4099 2 Eastern Region 4936 3 Northern Region 3438 4 Western Region 9195 Sub region 21668 0 1 South Buganda 1451 2 North Buganda 2648 3 West Nile 1257 4 Lango 1335 5 Acholi 826 6 Kigezi 1535 7 Bunyoro 2386 8 Tooro 2211 9 Busoga 1298 10 Teso 1324 11 Bukedi 1005 12 Elgon 1309 13 Karamoja 20 14 Ankole 3063 Zardi 21668 0 1 Abi 1257 2 Buginyanya 3612 3 Kachwekano 0 4 Bulindi 2386 5 Kachwekano 1535 6 Mukono 3627 7 Ngetta 2161 8 Nubin 20 9 Serere 1324 10 Mbarara 3535 11 Rwebitaba 2211 Parcel id 21668 0 1 12671 2 5117 3 2286 4 920 5 409 6 154 7 59 8 25 9 12 10 9 11 6 Plot id 21668 0 1 8394 2 7787 3 2907 4 1385 5 664 6 294 7 130 8 55 9 34 10 12 11 2 12 2 13 2 Crop ID 21668 0 1 14794 2 5014 3 1389 4 373 5 96 6 1 7 1 Crop name Type in the crop name. Type OTHER if you can't find the crop name in the list. 21668 0 112 Maize 3572 113 Rice 187 114 Sorghum 509 118 Millet 541 411 Soya Beans 460 421 Groundnuts 702 437 Simsim 460 511 Irish Potatoes 348 521 Sweet Potatoes 2071 531 Cassava 3730 711 Beans 3147 3121 Banana (Food) 3585 3122 Banana (Sweet) 375 3123 Banana (Beer) 0 6111 Coffee Arabica (old) 524 6112 Coffee Robusta (old) 1188 6113 Coffee Arabica (new) 65 6114 Coffee Robusta (clonal) 204 Percentage allocated to crop on the plot 21668 0 1 100 68.043 32.99 Year the crop was planted 21593 75 -98 Don't Know / Don't Recall 1430 201 1 1946 2 1947 1 1950 1 1952 4 1954 1 1955 1 1957 2 1959 2 1960 13 1961 1 1962 4 1963 1 1964 1 1965 4 1967 1 1968 4 1969 8 1970 7 1971 5 1972 10 1973 8 1974 6 1975 7 1976 7 1977 8 1978 7 1979 7 1980 36 1981 11 1982 13 1983 7 1984 14 1985 24 1986 17 1987 19 1988 16 1989 32 1990 70 1991 17 1992 34 1993 16 1994 37 1995 38 1996 56 1997 42 1998 45 1999 69 2000 148 2001 57 2002 53 2003 73 2004 85 2005 99 2006 62 2007 80 2008 125 2009 135 2010 184 2011 111 2012 134 2013 148 2014 300 2015 329 2016 382 2017 448 2018 1082 2019 15391 Sysmiss 75 Month the crop was planted 21668 0 0 Don't Remember/Don't Know 2524 1 January 108 2 February 411 3 March 1696 4 April 1604 5 May 738 6 June 627 7 July 2210 8 August 5742 9 September 4242 10 October 1062 11 November 516 12 December 188 Has crop been harvested? 21668 0 1 None of the crop has been harvested yet 2591 2 Some of the crop has been harvested 1736 3 All of the crop has been harvested 14542 4 Most of the crop was destroyed 1573 5 All of the crop was destroyed 982 6 Crop sold in the garden 132 7 Crop Does not belong to the Household 112 Amount received for selling whole crop in garden (UGX) 132 21536 15000 1500000 272928.03 227811.084 total value of sales of harvest under main condition / state (in Shs) 6831 14837 1 28800000 297026.586 733751.906 Disposition 1st cond: Processed for sale 21668 0 0 No 21455 1 Yes 213 Disposition 1st cond: Used as animal feed How much of the [CROP NAME] was used as animal feed? 21668 0 0 No 21561 1 Yes 107 Disposition 1st cond: Given to landlord / used to payback How much of the [CROP NAME] was given to the landlord? 21668 0 0 No 21586 1 Yes 82 Disposition 1st cond: Consumed by the household including that before the harves How much of the [CROP NAME] was consumed by the household including that before harvest? 21668 0 0 No 7145 1 Yes 14523 Disposition 1st cond: Set aside for seed How much of the [CROP NAME] was set aside for seeds 21668 0 0 No 18174 1 Yes 3494 Disposition 1st cond: Is currently in storage How much of the [CROP NAME] is currently in storage 21668 0 0 No 20692 1 Yes 976 Disposition 1st cond: Given to others How much of the [CROP NAME] was given to others 21668 0 0 No 19215 1 Yes 2453 Disposition 1st cond: Lost after harvest How much of the [CROP NAME] was lost after harvest? 21668 0 0 No 21032 1 Yes 636 total value of sales under second harvest condition / state (in SHS) 178 21490 2000 750000 121160.674 141051.668 Disposition 2nd cond: Processed for sale 21668 0 0 No 21664 1 Yes 4 Disposition 2nd cond: Used as animal feed How much of the [CROP NAME] was used as animal feed? 21668 0 0 No 21657 1 Yes 11 Disposition 2nd cond: Given to landlord / used to payback How much of the [CROP NAME] was given to the landlord? 21668 0 0 No 21667 1 Yes 1 Disposition 2nd cond: Consumed by the household including that before the harves How much of the [CROP NAME] was consumed by the household including that before harvest? 21668 0 0 No 18419 1 Yes 3249 Disposition 2nd cond: Set aside for seed How much of the [CROP NAME] was set aside for seeds 21668 0 0 No 21367 1 Yes 301 Disposition 2nd cond: Is currently in storage How much of the [CROP NAME] is currently in storage 21668 0 0 No 21632 1 Yes 36 Disposition 2nd cond: Given to others How much of the [CROP NAME] was given to others 21668 0 0 No 21293 1 Yes 375 Disposition 2nd cond: Lost after harvest How much of the [CROP NAME] was lost after harvest? 21668 0 0 No 21629 1 Yes 39 Where is most of the production of the crop sold? Where is most of the production of [CROP NAME] sold? 6981 14687 1 Wholesale sale at the market 681 2 Retail sale at the market 603 3 Wholesale sale at the farm or home 3885 4 Retail sale at the farm or home 1786 5 Direct delivery to the consumer 19 6 Production Contract 7 9 Other (Specify) 0 Sysmiss 14687 Other main sale market OTHER market of sale of produce of [CROP NAME] 0 0 main buyer of produce Who is the main buyer for [CROP NAME] in [PLOT]? 6980 14688 1 Government 3 2 Local Organization/Institution 22 3 Private traders 5997 4 Consumers 770 5 Neighbours 171 6 Relatives 7 7 Cooperative Unions 10 9 Other (Specify) 0 Sysmiss 14688 other main buyer OTHER main crop buyer of [CROP NAME] 0 0 Is the harvest decision maker a household member? 17851 3817 1 Yes 17685 2 No 166 Sysmiss 3817 PID of first hh member taking decisions on disposition of harvest 17682 3986 1 16044 2 1582 3 32 4 11 5 2 6 3 7 7 8 1 Sysmiss 3986 PID of second hh member taking decisions on disposition of harvest 10407 11261 2 10233 3 84 4 44 5 15 6 8 7 15 8 3 9 5 Sysmiss 11261 is the earning decision maker a household member? 7176 14492 1 Yes 7147 2 No 29 Sysmiss 14492 PID of first HH member taking decisions on revenues from crop sales 7146 14522 1 6664 2 460 3 12 4 3 5 1 6 2 7 4 Sysmiss 14522 PID of second HH member taking decisions on revenues from crop sales 4274 17394 2 4207 3 26 4 19 5 7 6 6 7 4 9 5 Sysmiss 17394 Agricultural household producing crop 21668 0 0 No 6 1 Yes 21662 Agricultural household rearing livestock/poultry 21658 10 0 No 4243 1 Yes 17415 11 .A 10 Agricultural household practicing aquaculture 21370 298 0 No 21370 1 Yes 0 11 .A 298 Agricultural household practicing apiculture 21339 329 0 No 21030 1 Yes 309 11 .A 329 Agricultural household practicing Agro-forestry 21383 285 0 No 20436 1 Yes 947 11 .A 285 see notes 21668 0 1 4151 2 16382 3 1122 4 13 Quantity Harvested - First condition (tonnes) 17620 4048 0.0002 96.25 0.548 1.794 Quantity Sold - First condition (tonnes) 6813 14855 0.0005 84 0.544 2.161 Farm gate price (SHS) per kg (1st condition) 5779 15889 29.499 300000000 1932712.786 6713243.72 Quantity Harvested - second condition (tonnes) 2709 18959 0.0002 0.9 0.0396 0.0723 Equivalent 173 21495 0.2 160.8 25.46 45.021 Quantity Sold - Second condition (tonnes) 173 21495 0.002 0.7 0.11 0.131 Farm gate price (SHS) per kg (2nd condition) 135 21533 5600 50000000 1960591.415 4357618.413 Expected quantity Harvested(tonnes) 1281 20387 0.0016 40.8 0.966 1.948 Total quantity of crop harvested (first and second condition) 17710 3958 0.0002 96.25 0.551 1.789 Total quantity of crop sold (first and second condition) 6961 14707 0.0005 84 0.535 2.138 Household Id 2854 0 enumeration Area code 2854 0 10101 42905 27270.193 10407.507 Calibrated weight 2854 0 200.947 5054.672 1061.414 507.921 Region Name 2854 0 1 Central Region 466 2 Eastern Region 974 3 Northern Region 706 4 Western Region 708 Sub-Region 2854 0 1 South Buganda 144 2 North Buganda 322 3 West Nile 201 4 Lango 244 5 Acholi 185 6 Kigezi 82 7 Bunyoro 262 8 Tooro 170 9 Busoga 251 10 Teso 244 11 Bukedi 257 12 Elgon 222 13 Karamoja 76 14 Ankole 194 Zardi 2854 0 1 Abi 201 2 Buginyanya 730 3 Bulindi 262 4 Kachwekano 82 5 Mukono 413 6 Ngetta 429 7 Nubin 76 8 Serere 244 9 Mbarara 247 10 Rwebitaba 170 2854 0 1 2503 2 351 Q01: # of birds that laid eggs in the last three months How many [LIVESTOCK GROUP] laid eggs in the last 3 months? 2854 0 0 100 1.632 4.644 difference btwn chicken laying eggs and those kept 2854 0 -1700 520 9.612 37.955 Q02: # of eggs laid in the last three months How many [LIVESTOCK GROUP] eggs did your household produce in the last three months? 1738 1116 1 18000 37.364 436.04 Q03: Unit of Quantity of Eggs Produced Unit of Quantity of Egg Sales 1738 1116 1 Number of eggs 1721 2 Tray of eggs 15 3 Dozen of eggs 2 Sysmiss 1116 Household Id 20758 0 enumeration Area code 20758 0 10101 42906 29580.971 10783.465 Calibrated weight 20758 0 162.017 5054.672 1026.839 499.248 Region Name 20758 0 1 Central Region 2844 2 Eastern Region 5680 3 Northern Region 4607 4 Western Region 7627 Sub-Region 20758 0 1 South Buganda 1264 2 North Buganda 1580 3 West Nile 827 4 Lango 1539 5 Acholi 1379 6 Kigezi 1583 7 Bunyoro 1375 8 Tooro 2141 9 Busoga 1197 10 Teso 1527 11 Bukedi 1738 12 Elgon 1218 13 Karamoja 862 14 Ankole 2528 Zardi Name 20758 0 1 Abi 827 2 Buginyanya 4153 3 Bulindi 1375 4 Kachwekano 1583 5 Mukono 2451 6 Ngetta 2918 7 Nubin 862 8 Serere 1527 9 Mbarara 2921 10 Rwebitaba 2141 Agricultural facility ID Between January 2019 and December 2019, did you or your household have access to the following facilities? 20758 0 1 Local produce market 3371 2 District produce market 1163 3 Trading center 5300 4 Nurseries 434 5 Agricultural demonstration farm/plot 288 6 Feeder roads / all-year round gravel road 4940 8 Tarmac road 2602 9 Community agricultural store 222 10 Local input dealer / farm supply shops 2438 Distance to facilities 6864 13894 1 [0 - 2km] 3909 2 ]2-5 km[ 1976 3 ]5-10 km[ 819 4 ]10-15 km[ 160 5 ]more than 15km 0 Sysmiss 13894 Household Id 1935 0 enumeration Area code 1935 0 10101 42906 30615.797 10572.246 Calibrated weight 1935 0 227.697 3979.765 1036.389 507.297 Region Name 1935 0 1 Central Region 238 2 Eastern Region 439 3 Northern Region 500 4 Western Region 758 Sub-Region 1935 0 1 South Buganda 102 2 North Buganda 136 3 West Nile 74 4 Lango 66 5 Acholi 350 6 Kigezi 138 7 Bunyoro 208 8 Tooro 138 9 Busoga 154 10 Teso 45 11 Bukedi 138 12 Elgon 102 13 Karamoja 10 14 Ankole 274 Zardi 1935 0 1 Abi 74 2 Buginyanya 394 3 Bulindi 208 4 Kachwekano 138 5 Mukono 197 6 Ngetta 416 7 Nubin 10 8 Serere 45 9 Mbarara 315 10 Rwebitaba 138 Id in fixedCostRoster Between January 2019 and December 2019, did this household spend money on the following..? 1935 0 1 Rent of buildings for farm use 43 2 Rent of land for agriculture 991 3 Interest on agricultural loans 321 4 Agricultural insurance 0 5 Licenses, fees and other statutory permits 3 6 Maintenance and repair of buildings for farm use 20 7 Purchase or repair vehicle/tractor/equipment 480 8 Water for crop irrigation, animal feeding etc 49 9 Electricity for agricultural purposes 6 10 Investments on the holding (e.g. set up / repair for irrigation systems, silos, barns, etc) 8 99 Other fixed costs 14 Q02: expenditure on fixed costs in shillings How much money did the household spend on [EXPENDITURE TYPE] between January 2019 and December 2019 (in SHS)? 1935 0 500 4000000 139595.556 253468.619 Household Id 7079 0 enumeration Area code 7079 0 10101 42906 28388.044 10881.385 Calibrated weight 7079 0 0 5054.672 1059.265 540.528 Region Name 7079 0 1 Central Region 1199 2 Eastern Region 1932 3 Northern Region 1740 4 Western Region 2208 Sub-Region 7079 0 1 South Buganda 599 2 North Buganda 600 3 West Nile 528 4 Lango 444 5 Acholi 408 6 Kigezi 480 7 Bunyoro 528 8 Tooro 540 9 Busoga 564 10 Teso 432 11 Bukedi 468 12 Elgon 468 13 Karamoja 360 14 Ankole 660 Zardi Name 7079 0 1 Abi 528 2 Buginyanya 1500 3 Bulindi 528 4 Kachwekano 480 5 Mukono 1019 6 Ngetta 852 7 Nabuin 360 8 Serere 432 9 Mbarara 840 10 Rwebitaba 540 Household size 5954 1125 1 24 5.74 2.772 Reference Season 7079 0 2 7079 reference year 7079 0 2019 7079 Why not org. fertilisers: no need, soil fertile 4139 2940 0 2217 1 1585 2 205 3 132 Sysmiss 2940 Why not org. fertilisers: available fertilisers are poor quality 4139 2940 0 4103 1 10 2 6 3 20 Sysmiss 2940 Why not org. fertilisers: land is rented 4139 2940 0 3982 1 62 2 51 3 44 Sysmiss 2940 Why not org. fertilisers: can't afford 4139 2940 0 1924 1 1498 2 606 3 111 Sysmiss 2940 Why not org. fertilisers: not available locally 4139 2940 0 2428 1 830 2 697 3 184 Sysmiss 2940 Why not org. fertilisers: not useful 4139 2940 0 3857 1 54 2 77 3 151 Sysmiss 2940 Why not org. fertilisers: impractical 4139 2940 0 4081 1 18 2 25 3 15 Sysmiss 2940 Why not org. fertilisers: other reasons 4139 2940 0 4011 1 82 2 28 3 18 Sysmiss 2940 Why not inorg. fertilisers: no need, soil fertile 5042 2037 0 3367 1 1338 2 170 3 167 Sysmiss 2037 Why not inorg. fertilisers: available fertilisers are poor quality 5042 2037 0 5018 1 10 2 9 3 5 Sysmiss 2037 Why not inorg. fertilisers: land is rented 5042 2037 0 4908 1 61 2 51 3 22 Sysmiss 2037 Why not inorg. fertilisers: no knowledge of benefits and use 5042 2037 0 3655 1 656 2 444 3 287 Sysmiss 2037 Why not inorg. fertilisers: can't afford 5042 2037 0 1165 1 2330 2 1282 3 265 Sysmiss 2037 Why not inorg. fertilisers: not available locally 5042 2037 0 3369 1 482 2 622 3 569 Sysmiss 2037 Why not inorg. fertilisers: not useful 5042 2037 0 4932 1 20 2 41 3 49 Sysmiss 2037 Why not inorg. fertilisers: burn crops if little rain 5042 2037 0 4983 1 10 2 31 3 18 Sysmiss 2037 Why not inorg. fertilisers: increase weed 5042 2037 0 4902 1 16 2 50 3 74 Sysmiss 2037 Why not inorg. fertilisers: negative effects on soil 5042 2037 0 4662 1 85 2 194 3 101 Sysmiss 2037 Why not inorg. fertilisers: impractical 5042 2037 0 4993 1 24 2 13 3 12 Sysmiss 2037 Why not inorg. fertilisers: other reasons 5042 2037 0 5030 1 10 3 2 Sysmiss 2037 HH members participated in land preparation activities 5547 1532 0 No 357 1 Yes 5190 Sysmiss 1532 HH members participated in planting activities 5547 1532 0 No 269 1 Yes 5278 Sysmiss 1532 HH members participated in weeding activities 5547 1532 0 No 211 1 Yes 5336 Sysmiss 1532 HH members participated in mulching activities 5547 1532 0 No 4792 1 Yes 755 Sysmiss 1532 HH members participated in fertilizing/manure application activities 5547 1532 0 No 4193 1 Yes 1354 Sysmiss 1532 HH members participated in spraying activities 5547 1532 0 No 4630 1 Yes 917 Sysmiss 1532 HH members participated in irrigation/watering activities 5547 1532 0 No 5509 1 Yes 38 Sysmiss 1532 HH members participated in pruning activities 5547 1532 0 No 3858 1 Yes 1689 Sysmiss 1532 HH members participated in guarding of the garden 5546 1533 0 No 4591 1 Yes 955 Sysmiss 1533 HH members participated in harvesting/threshing activities 5547 1532 0 No 395 1 Yes 5152 Sysmiss 1532 HH members participated in transporting produce from farm to home/store 5547 1532 0 No 590 1 Yes 4957 Sysmiss 1532 HH members participated in transporting produce from farm/home/ store to market 5547 1532 0 No 4031 1 Yes 1516 Sysmiss 1532 HH members participated in drying, packing, and storage activities 5547 1532 0 No 1299 1 Yes 4248 Sysmiss 1532 HH members participated in other cropping activities 5547 1532 0 No 5547 1 Yes 0 Sysmiss 1532 if any hh member was compesated for their work 5546 1533 1 Yes 113 2 No 5433 Sysmiss 1533 total payment to household members 113 6966 5 3000000 268150.487 390237.219 HH hired workers for land preparation activities 5546 1533 0 No 4029 1 Yes 1517 Sysmiss 1533 HH hired workers for planting activities 5546 1533 0 No 4619 1 Yes 927 Sysmiss 1533 HH hired workers for weeding activities 5546 1533 0 No 4070 1 Yes 1476 Sysmiss 1533 HH hired workers for mulching activities 5545 1534 0 No 5512 1 Yes 33 Sysmiss 1534 HH hired workers for fertilizing/manure application activities 5546 1533 0 No 5433 1 Yes 113 Sysmiss 1533 HH hired workers for spraying activities 5546 1533 0 No 5346 1 Yes 200 Sysmiss 1533 HH hired workers for irrigation/watering activities 5546 1533 0 No 5542 1 Yes 4 Sysmiss 1533 HH hired workers for pruning activities 5546 1533 0 No 5496 1 Yes 50 Sysmiss 1533 HH hired workers for guarding of the garden 5546 1533 0 No 5519 1 Yes 27 Sysmiss 1533 HH hired workers for harvesting/threshing activities 5546 1533 0 No 4843 1 Yes 703 Sysmiss 1533 HH hired workers for transporting produce from farm to home/store 5546 1533 0 No 5231 1 Yes 315 Sysmiss 1533 HH hired workers for transporting produce from farm/home/ store to market 5546 1533 0 No 5410 1 Yes 136 Sysmiss 1533 HH hired workers for drying, packing, and storage activities 5546 1533 0 No 5489 1 Yes 57 Sysmiss 1533 HH hired workers for other cropping activities 5546 1533 0 No 5545 1 Yes 1 Sysmiss 1533 Numb. male HH members who worked on the holding 4822 2257 0 419 1 2525 2 926 3 605 4 220 5 82 6 29 7 12 8 3 9 1 Sysmiss 2257 total number of days worked by male hh members in the season (cln) 4403 2676 0.0841 460 74.019 55.074 Duration typical working day for male hh members (hours) 4403 2676 1 12 4.761 1.459 Numb. female HH members who worked on the holding 5248 1831 0 119 1 2820 2 1221 3 743 4 245 5 70 6 18 7 5 8 6 10 1 Sysmiss 1831 total number of days worked by female hh members in the season (cln) 5129 1950 0.72 500 84.23 54.404 Duration typical working day for female hh members (hours) 5129 1950 1 12 4.772 1.458 Number unpaid relatives that worked on the farm 5546 1533 0 40 0.774 1.748 total number of days worked by unpaid relatives in the season (cln) 1542 5537 0.00895 40 2.756 2.336 Duration typical working day for unpaid relatives (hours) 1542 5537 1 8 2 48 2.5 2 3 153 3.5 8 4 347 4.5 2 5 401 5.5 1 6 368 7 125 8 61 9 11 10 6 11 1 Sysmiss 5537 Number male hired workers 2350 4729 0 150 4.23 6.069 total number of days worked by male hired workers in the season (cln) 2018 5061 0.0564 4860 17.358 111.871 Duration of a typical working day for male hired workers 2018 5061 1 12 5.272 1.602 Number female hired workers 2350 4729 0 262 3.674 8.09 total number of days worked by female hired workers in the season (cln) 1476 5603 0.101 443 13.345 27.475 Duration of a typical working day for female hired workers 1476 5603 1 12 5.312 1.474 average daily male wage in village 2350 4729 2000 15000 5192.426 1887.595 average daily female wage in the village 2350 4729 5 15000 4865.811 1665.185 if any hh member reared any livestock 5951 1128 1 Yes 4392 2 No 1559 Sysmiss 1128 if holding had large animals in the last 12 months:Calves (9 months or younger) 4392 2687 0 No 3649 1 Yes 743 Sysmiss 2687 if holding had large animals in the last 12 months:Bulls 4392 2687 0 No 3874 1 Yes 518 Sysmiss 2687 if holding had large animals in the last 12 months:Steers 4392 2687 0 No 4297 1 Yes 95 Sysmiss 2687 if holding had large animals in the last 12 months:Oxen 4392 2687 0 No 4066 1 Yes 326 Sysmiss 2687 if holding had large animals in the last 12 months:Heifers 4392 2687 0 No 3909 1 Yes 483 Sysmiss 2687 if holding had large animals in the last 12 months:Cows 4392 2687 0 No 3260 1 Yes 1132 Sysmiss 2687 if holding had large animals in the last 12 months:Donkeys 4392 2687 0 No 4382 1 Yes 10 Sysmiss 2687 if holding had large animals in the last 12 months:Horses 4392 2687 0 No 4392 1 Yes 0 Sysmiss 2687 if holding had large animals in the last 12 months:Camels 4392 2687 0 No 4392 1 Yes 0 Sysmiss 2687 if holding had small animals in the last 6 months:Goats 4392 2687 0 No 2009 1 Yes 2383 Sysmiss 2687 if holding had small animals in the last 6 months:Sheep 4392 2687 0 No 3900 1 Yes 492 Sysmiss 2687 if holding had small animals in the last 6 months:*PIGS* 4392 2687 0 No 3145 1 Yes 1247 Sysmiss 2687 if holding had birds in the last 3 months:Broilers (Exotic/cross chicken) 4392 2687 0 No 4343 1 Yes 49 Sysmiss 2687 if holding had birds in the last 3 months:Kuroilers (Exotic Dual purpose) 4392 2687 0 No 4359 1 Yes 33 Sysmiss 2687 if holding had birds in the last 3 months:Layers (Exotic/cross chicken) 4392 2687 0 No 4369 1 Yes 23 Sysmiss 2687 if holding had birds in the last 3 months:Indigenous chicken dual - purpose 4392 2687 0 No 1334 1 Yes 3058 Sysmiss 2687 if holding had birds in the last 3 months:Turkeys 4392 2687 0 No 4319 1 Yes 73 Sysmiss 2687 if holding had birds in the last 3 months:Ducks 4392 2687 0 No 4075 1 Yes 317 Sysmiss 2687 if holding had birds in the last 3 months:Geese 4392 2687 0 No 4391 1 Yes 1 Sysmiss 2687 if holding had birds in the last 3 months:Guinea Fowls 4392 2687 0 No 4377 1 Yes 15 Sysmiss 2687 if holding had birds in the last 3 months:Rabbits 4392 2687 0 No 4303 1 Yes 89 Sysmiss 2687 Opinion question on effet of antibiotic overuse 1266 5813 1 Fully Agree 221 2 Agree 290 3 Disagree 449 4 Completely Disagree 123 9 Don't Know 183 Sysmiss 5813 # of egg sold in last three months 1669 5410 0 2100 4.435 65.705 Unit of Quantity of Egg Sales 87 6992 1 Number of eggs 78 2 Tray of eggs 9 3 Dozen of eggs 0 Sysmiss 6992 market where most of the eggs are sold 87 6992 1 Wholesale sale at the market 11 2 Retail sale at the market 9 3 Wholesale sales at the farm or home 17 4 Retail sales at the farm or home 45 5 Direct delivery to the consumer 5 6 Production contract 0 9 Other (Specify) 0 Sysmiss 6992 main purchaser of eggs 87 6992 1 Government 0 2 Local organization/Institution 0 3 Private trader 34 4 Consumer 38 5 Neighbour 14 6 Relative 1 7 Cooperative Union 0 9 Other (specify) 0 Sysmiss 6992 Earnings from selling eggs, in shillings 87 6992 800 14700000 284604.023 1675761.09 if hh produced other animal products:Wet skins and hides 4392 2687 0 No 4373 1 Yes 19 Sysmiss 2687 if hh produced other animal products:Dry skins and hides 4391 2688 0 No 4384 1 Yes 7 Sysmiss 2688 if hh produced other animal products:Honey 4391 2688 0 No 4369 1 Yes 22 Sysmiss 2688 if hh produced other animal products:Animal dung 4391 2688 0 No 3642 1 Yes 749 Sysmiss 2688 if hh produced other animal products:Animal urine 4391 2688 0 No 4388 1 Yes 3 Sysmiss 2688 if hh produced other animal products:Bird droppings 4391 2688 0 No 4127 1 Yes 264 Sysmiss 2688 if hh produced other animal products:Manure 4391 2688 0 No 4304 1 Yes 87 Sysmiss 2688 if hh produced other animal products:Horns 4391 2688 0 No 4390 1 Yes 1 Sysmiss 2688 if hh produced other animal products:Other (Specify) 4391 2688 0 No 4391 1 Yes 0 Sysmiss 2688 source of agricultural information:Weather 5949 1130 0 No 2453 1 Yes 3496 Sysmiss 1130 source of agricultural information:Crop varieties 5949 1130 0 No 2870 1 Yes 3079 Sysmiss 1130 source of agricultural information:Crop diseases 5949 1130 0 No 2375 1 Yes 3574 Sysmiss 1130 source of agricultural information:New agricultural practices 5949 1130 0 No 4220 1 Yes 1729 Sysmiss 1130 source of agricultural information:Farm machinery 5949 1130 0 No 4915 1 Yes 1034 Sysmiss 1130 source of agricultural information:Credit facilities 5949 1130 0 No 3974 1 Yes 1975 Sysmiss 1130 source of agricultural information:Prices of commodities 5949 1130 0 No 2566 1 Yes 3383 Sysmiss 1130 source of agricultural information:Where to sell the production 5949 1130 0 No 3169 1 Yes 2780 Sysmiss 1130 source of agricultural information:Livestock 5948 1131 0 No 3237 1 Yes 2711 Sysmiss 1131 if hh or its members had ascess to facilities:Local produce market 5948 1131 0 No 2577 1 Yes 3371 Sysmiss 1131 if hh or its members had ascess to facilities:District produce market 5948 1131 0 No 4785 1 Yes 1163 Sysmiss 1131 if hh or its members had ascess to facilities:Trading center 5948 1131 0 No 648 1 Yes 5300 Sysmiss 1131 if hh or its members had ascess to facilities:Nurseries 5947 1132 0 No 5513 1 Yes 434 Sysmiss 1132 if hh or its members had ascess to facilities:Agricultural demonstration farm/pl 5948 1131 0 No 5660 1 Yes 288 Sysmiss 1131 if hh or its members had ascess to facilities:Feeder roads / all-year round grav 5948 1131 0 No 1008 1 Yes 4940 Sysmiss 1131 if hh or its members had ascess to facilities:Tarmac road 5948 1131 0 No 3346 1 Yes 2602 Sysmiss 1131 if hh or its members had ascess to facilities:Community agricultural store 5947 1132 0 No 5725 1 Yes 222 Sysmiss 1132 if hh or its members had ascess to facilities:Local input dealer / farm supply s 5948 1131 0 No 3510 1 Yes 2438 Sysmiss 1131 if hh has access to transport means:head loading / back loading 5949 1130 0 No 465 1 Yes 5484 Sysmiss 1130 if hh has access to transport means:car/pick up 5949 1130 0 No 5740 1 Yes 209 Sysmiss 1130 if hh has access to transport means:lorry 5949 1130 0 No 5896 1 Yes 53 Sysmiss 1130 if hh has access to transport means:tractor 5949 1130 0 No 5925 1 Yes 24 Sysmiss 1130 if hh has access to transport means:motor cycle 5948 1131 0 No 4122 1 Yes 1826 Sysmiss 1131 if hh has access to transport means:bicycle 5949 1130 0 No 4153 1 Yes 1796 Sysmiss 1130 if hh has access to transport means:wheelbarrow 5949 1130 0 No 5783 1 Yes 166 Sysmiss 1130 if hh has access to storage facility 5949 1130 1 Yes 4793 2 No 1156 Sysmiss 1130 Household used Improved granary as storage facility 4793 2286 0 No 4693 1 Yes 100 Sysmiss 2286 Household used Unimproved granary as storage facility 4793 2286 0 No 4490 1 Yes 303 Sysmiss 2286 Household used Store house / Barn as storage facility 4793 2286 0 No 4217 1 Yes 576 Sysmiss 2286 Household used Specific House/room as storage facility 4793 2286 0 No 752 1 Yes 4041 Sysmiss 2286 Household used Under shelter outside as storage facility 4793 2286 0 No 4579 1 Yes 214 Sysmiss 2286 Household used Cribs as storage facility 4793 2286 0 No 4786 1 Yes 7 Sysmiss 2286 Household used Silos as storage facility 4793 2286 0 No 4791 1 Yes 2 Sysmiss 2286 Household used Cold Storage as storage facility 4793 2286 0 No 4792 1 Yes 1 Sysmiss 2286 Household used Underground storage as storage facility 4793 2286 0 No 4790 1 Yes 3 Sysmiss 2286 Household used Over fire place as storage facility 4793 2286 0 No 4759 1 Yes 34 Sysmiss 2286 Household used Community storage facility as storage facility 4793 2286 0 No 4782 1 Yes 11 Sysmiss 2286 Household used Sealed containers as storage facility 4793 2286 0 No 4549 1 Yes 244 Sysmiss 2286 if hh has received agric-related loan 5949 1130 1 Yes 596 2 No 5353 Sysmiss 1130 source of agric loan:SACCO: Savings & Credit Cooperative Organizations 596 6483 0 No 467 1 Yes 129 Sysmiss 6483 source of agric loan:Money Lenders 596 6483 0 No 584 1 Yes 12 Sysmiss 6483 source of agric loan:Input suppliers 596 6483 0 No 593 1 Yes 3 Sysmiss 6483 source of agric loan:Self-help groups 596 6483 0 No 296 1 Yes 300 Sysmiss 6483 source of agric loan:Family and friends 596 6483 0 No 539 1 Yes 57 Sysmiss 6483 source of agric loan:Agricultural product processors 596 6483 0 No 593 1 Yes 3 Sysmiss 6483 source of agric loan:Agricultural production traders 596 6483 0 No 588 1 Yes 8 Sysmiss 6483 source of agric loan:Farmer Associations 596 6483 0 No 588 1 Yes 8 Sysmiss 6483 did hh need collateral for the loan 595 6484 1 Yes 256 2 No 339 Sysmiss 6484 Household used land title as collateral 256 6823 0 No 190 1 Yes 66 Sysmiss 6823 Household used crop production as collateral 256 6823 0 No 237 1 Yes 19 Sysmiss 6823 Household used livestock as collateral 256 6823 0 No 223 1 Yes 33 Sysmiss 6823 Household used a guarantor as collateral 256 6823 0 No 185 1 Yes 71 Sysmiss 6823 Household used salary as collateral 256 6823 0 No 255 1 Yes 1 Sysmiss 6823 Household used deposit/savings with the bank as collateral 256 6823 0 No 217 1 Yes 39 Sysmiss 6823 Household used household's items as collateral 256 6823 0 No 241 1 Yes 15 Sysmiss 6823 Household used a sales agreement as collateral 256 6823 0 No 212 1 Yes 44 Sysmiss 6823 Household used other collaterals 256 6823 0 No 239 1 Yes 17 Sysmiss 6823 reason for not seeking for a loan:No need for loans 5352 1727 0 No 3312 1 Yes 2040 Sysmiss 1727 reason for not seeking for a loan:Unavailability of lending facilities 5352 1727 0 No 4664 1 Yes 688 Sysmiss 1727 reason for not seeking for a loan:Lack of collateral security 5352 1727 0 No 4314 1 Yes 1038 Sysmiss 1727 reason for not seeking for a loan:The interest charged is high 5352 1727 0 No 4561 1 Yes 791 Sysmiss 1727 reason for not seeking for a loan:Not profitable 5352 1727 0 No 4940 1 Yes 412 Sysmiss 1727 reason for not seeking for a loan:Ignorance / lack of awareness 5352 1727 0 No 4557 1 Yes 795 Sysmiss 1727 reason for not seeking for a loan:Negative past experience with loans 5352 1727 0 No 5128 1 Yes 224 Sysmiss 1727 reason for not seeking for a loan:Fear towards credit 5352 1727 0 No 2935 1 Yes 2417 Sysmiss 1727 Household received cash transfers 5949 1130 0 No 5840 1 Yes 109 Sysmiss 1130 Household received in-kind transfers 5949 1130 0 No 5885 1 Yes 64 Sysmiss 1130 Source of transfers:Friends or relatives, living in the country 171 6908 0 21 1 150 Sysmiss 6908 Source of transfers:Friends or relatives, living outside the country 171 6908 0 169 1 2 Sysmiss 6908 Source of transfers:Others (e.g. employer, religious groups, self-help clubs, et 171 6908 0 151 1 20 Sysmiss 6908 value of cash transfers 109 6970 10000 960000 133394.495 161404.255 value of in-kind transfers 64 7015 0 360000 50856.25 80940.213 if hh had some agricultural-related expenditures:Rent of buildings for farm use 5949 1130 0 No 5906 1 Yes 43 Sysmiss 1130 if hh had some agricultural-related expenditures:Rent of land for agriculture 5949 1130 0 No 4958 1 Yes 991 Sysmiss 1130 if hh had some agricultural-related expenditures:Interest on agricultural loans 5949 1130 0 No 5628 1 Yes 321 Sysmiss 1130 if hh had some agricultural-related expenditures:Agricultural insurance 5949 1130 0 No 5949 1 Yes 0 Sysmiss 1130 if hh had some agricultural-related expenditures:Licenses, fees and other statut 5949 1130 0 No 5946 1 Yes 3 Sysmiss 1130 if hh had some agricultural-related expenditures:Maintenance and repair of build 5949 1130 0 No 5929 1 Yes 20 Sysmiss 1130 if hh had some agricultural-related expenditures:Purchase or repair vehicle/trac 5949 1130 0 No 5469 1 Yes 480 Sysmiss 1130 if hh had some agricultural-related expenditures:Water for crop irrigation, anim 5949 1130 0 No 5900 1 Yes 49 Sysmiss 1130 if hh had some agricultural-related expenditures:Electricity for agricultural pu 5948 1131 0 No 5942 1 Yes 6 Sysmiss 1131 if hh had some agricultural-related expenditures:Investments on the holding (e.g 5949 1130 0 No 5941 1 Yes 8 Sysmiss 1130 if hh had some agricultural-related expenditures:Other fixed costs 5948 1131 0 No 5934 1 Yes 14 Sysmiss 1131 if the household had any shocks in the last 12 months 5948 1131 1 Yes 3996 2 No 1952 Sysmiss 1131 shocks experienced in last 12 months:Floods 3996 3083 0 No 3417 1 Yes 579 Sysmiss 3083 shocks experienced in last 12 months:Drought 3996 3083 0 No 1800 1 Yes 2196 Sysmiss 3083 shocks experienced in last 12 months:Hailstorms 3996 3083 0 No 3876 1 Yes 120 Sysmiss 3083 shocks experienced in last 12 months:Pests or disease outbreak 3996 3083 0 No 2790 1 Yes 1206 Sysmiss 3083 shocks experienced in last 12 months:Erratic or heavy rains 3996 3083 0 No 2836 1 Yes 1160 Sysmiss 3083 shocks experienced in last 12 months:Insecurity 3996 3083 0 No 3758 1 Yes 238 Sysmiss 3083 shocks experienced in last 12 months:Illness or disease in the household 3996 3083 0 No 3478 1 Yes 518 Sysmiss 3083 shocks experienced in last 12 months:Other shock (specify) 3996 3083 0 No 3942 1 Yes 54 Sysmiss 3083 if the household had any shocks in the last 12 months 5949 1130 1 Yes 2291 2 No 3658 Sysmiss 1130 months with food shortage:January 2291 4788 0 No 2160 1 Yes 131 Sysmiss 4788 months with food shortage:February 2291 4788 0 No 1966 1 Yes 325 Sysmiss 4788 months with food shortage:March 2291 4788 0 No 1789 1 Yes 502 Sysmiss 4788 months with food shortage:April 2291 4788 0 No 1497 1 Yes 794 Sysmiss 4788 months with food shortage:May 2291 4788 0 No 1361 1 Yes 930 Sysmiss 4788 months with food shortage:June 2291 4788 0 No 1287 1 Yes 1004 Sysmiss 4788 months with food shortage:July 2291 4788 0 No 1451 1 Yes 840 Sysmiss 4788 months with food shortage:August 2291 4788 0 No 1640 1 Yes 651 Sysmiss 4788 months with food shortage:September 2291 4788 0 No 1675 1 Yes 616 Sysmiss 4788 months with food shortage:October 2291 4788 0 No 1764 1 Yes 527 Sysmiss 4788 months with food shortage:November 2291 4788 0 No 1906 1 Yes 385 Sysmiss 4788 months with food shortage:December 2291 4788 0 No 2101 1 Yes 190 Sysmiss 4788 food shortage causes:Loss of crops / insufficient production 2291 4788 0 197 1 1990 2 72 3 32 Sysmiss 4788 food shortage causes:Over selling produce 2291 4788 0 2142 1 33 2 99 3 17 Sysmiss 4788 food shortage causes:Loss of livestock 2291 4788 0 2219 1 10 2 51 3 11 Sysmiss 4788 food shortage causes:Inability to work because of illness, disability, injury or 2291 4788 0 1990 1 85 2 184 3 32 Sysmiss 4788 food shortage causes:Lack of adequate land 2291 4788 0 1715 1 85 2 373 3 118 Sysmiss 4788 food shortage causes:Lack of capital 2291 4788 0 1599 1 58 2 354 3 280 Sysmiss 4788 food shortage causes:Lack of laborers on the farm 2291 4788 0 2159 1 9 2 59 3 64 Sysmiss 4788 food shortage causes:Lack of job opportunity outside the holding 2291 4788 0 2102 1 9 2 85 3 95 Sysmiss 4788 food shortage causes:Other (specify) 2291 4788 0 2274 1 12 2 2 3 3 Sysmiss 4788 if hh changed eating patterns 2291 4788 1 Yes 1883 2 No 408 Sysmiss 4788 which hh members have changed eating patterns:Male adults (over 25 years) 1300 5779 1 1291 2 8 11 1 Sysmiss 5779 which hh members have changed eating patterns:Male youths (age between 14 - 24) 644 6435 1 639 2 4 11 1 Sysmiss 6435 which hh members have changed eating patterns:Male children (age less than 14 ye 848 6231 1 845 2 2 11 1 Sysmiss 6231 which hh members have changed eating patterns:Female adults (over 25 years) 1396 5683 1 1387 2 8 11 1 Sysmiss 5683 which hh members have changed eating patterns:Female youths (aged between 14 - 2 705 6374 1 702 2 2 11 1 Sysmiss 6374 which hh members have changed eating patterns:Female children (aged less than 14 789 6290 1 785 2 3 11 1 Sysmiss 6290 Has the household skipped meals as an immediate response to food shortage? 2291 4788 1 Yes 1600 2 No 691 Sysmiss 4788 Who in the household skipped meals?:Male adults (over 25 years) 1086 5993 1 1079 2 7 Sysmiss 5993 Who in the household skipped meals?:Male youths (age between 14 - 24) 508 6571 1 506 2 2 Sysmiss 6571 Who in the household skipped meals?:Male children (age less than 14 years) 613 6466 1 611 2 2 Sysmiss 6466 Who in the household skipped meals?:Female adults (over 25 years) 1183 5896 1 1176 2 7 Sysmiss 5896 Who in the household skipped meals?:Female youths (aged between 14 - 24) 550 6529 1 549 2 1 Sysmiss 6529 Who in the household skipped meals?:Female children (aged less than 14 years) 579 6500 1 577 2 2 Sysmiss 6500 Has the household eaten less preferred meals as an immediate response to food sh 2291 4788 1 Yes 2070 2 No 221 Sysmiss 4788 who ate less preferred meals?:Male adults (over 25 years) 1435 5644 1 1427 2 7 11 1 Sysmiss 5644 who ate less preferred meals?:Male youths (age between 14 - 24) 713 6366 1 710 2 2 11 1 Sysmiss 6366 who ate less preferred meals?:Male children (age less than 14 years) 1028 6051 1 1025 2 2 11 1 Sysmiss 6051 who ate less preferred meals?:Female adults (over 25 years) 1553 5526 1 1545 2 7 11 1 Sysmiss 5526 who ate less preferred meals?:Female youths (aged between 14 - 24) 775 6304 1 773 2 1 11 1 Sysmiss 6304 who ate less preferred meals?:Female children (aged less than 14 years) 980 6099 1 977 2 2 11 1 Sysmiss 6099 Has the household reduced meal size as immediate response to food shortage? 2291 4788 1 Yes 1840 2 No 451 Sysmiss 4788 who in the household reduced meal size:Male adults (over 25 years) 1285 5794 1 1277 2 7 11 1 Sysmiss 5794 who in the household reduced meal size:Male youths (age between 14 - 24) 630 6449 1 626 2 3 11 1 Sysmiss 6449 who in the household reduced meal size:Male children (age less than 14 years) 904 6175 1 901 2 2 11 1 Sysmiss 6175 who in the household reduced meal size:Female adults (over 25 years) 1389 5690 1 1381 2 7 11 1 Sysmiss 5690 who in the household reduced meal size:Female youths (aged between 14 - 24) 686 6393 1 683 2 2 11 1 Sysmiss 6393 who in the household reduced meal size:Female children (aged less than 14 years) 858 6221 1 854 2 3 11 1 Sysmiss 6221 expected food shortage in next 12 months 5947 1132 1 Yes 2363 2 No 3584 Sysmiss 1132 Attending farmers training 5949 1130 1 Yes 361 2 No 5583 3 Don't know 5 Sysmiss 1130 PID of household members attending training on agriculture during the last 12 mo 345 6734 1 263 2 73 3 3 4 3 7 1 9 1 11 1 Sysmiss 6734 PID of household members attending training on agriculture during the last 12 mo 51 7028 2 48 3 1 5 2 Sysmiss 7028 PID of household members attending training on agriculture during the last 12 mo 3 7076 3 3 Sysmiss 7076 PID of household members attending training on agriculture during the last 12 mo 1 7078 4 1 Sysmiss 7078 Did any member of the household receive on any of the following?:Farm Management 5949 1130 0 No 5734 1 Yes 215 Sysmiss 1130 Did any member of the household receive on any of the following?:Selection of cr 5949 1130 0 No 5755 1 Yes 194 Sysmiss 1130 Did any member of the household receive on any of the following?:Input Use e.g. 5949 1130 0 No 5764 1 Yes 185 Sysmiss 1130 Did any member of the household receive on any of the following?:Farm mechanizat 5949 1130 0 No 5923 1 Yes 26 Sysmiss 1130 Did any member of the household receive on any of the following?:Animal health 5949 1130 0 No 5819 1 Yes 130 Sysmiss 1130 Did any member of the household receive on any of the following?:Plant protectio 5949 1130 0 No 5841 1 Yes 108 Sysmiss 1130 Did any member of the household receive on any of the following?:Environmental C 5949 1130 0 No 5904 1 Yes 45 Sysmiss 1130 Did any member of the household receive on any of the following?:Marketing 5949 1130 0 No 5887 1 Yes 62 Sysmiss 1130 Did any member of the household receive on any of the following?:Diary Managemen 5949 1130 0 No 5918 1 Yes 31 Sysmiss 1130 Did any member of the household receive on any of the following?:Value Addition/ 5949 1130 0 No 5917 1 Yes 32 Sysmiss 1130 Which of the following crops did the household receive training on?:Banana (Food 261 6818 0 No 173 1 Yes 88 Sysmiss 6818 Which of the following crops did the household receive training on?:Beans 261 6818 0 No 157 1 Yes 104 Sysmiss 6818 Which of the following crops did the household receive training on?:Maize 261 6818 0 No 137 1 Yes 124 Sysmiss 6818 Which of the following crops did the household receive training on?:Rice 261 6818 0 No 231 1 Yes 30 Sysmiss 6818 Which of the following crops did the household receive training on?:Cassava 261 6818 0 No 214 1 Yes 47 Sysmiss 6818 Which of the following crops did the household receive training on?:Tea 261 6818 0 No 261 1 Yes 0 Sysmiss 6818 Which of the following crops did the household receive training on?:Coffee 261 6818 0 No 187 1 Yes 74 Sysmiss 6818 Which of the following crops did the household receive training on?:Cocoa 261 6818 0 No 259 1 Yes 2 Sysmiss 6818 Which of the following crops did the household receive training on?:Cotton 261 6818 0 No 243 1 Yes 18 Sysmiss 6818 Which of the following crops did the household receive training on?:Oil Palm 261 6818 0 No 261 1 Yes 0 Sysmiss 6818 Which of the following crops did the household receive training on?:Millet 261 6818 0 No 248 1 Yes 13 Sysmiss 6818 Which of the following crops did the household receive training on?:Sorghum 261 6818 0 No 241 1 Yes 20 Sysmiss 6818 Which of the following crops did the household receive training on?:Field Peas 261 6818 0 No 258 1 Yes 3 Sysmiss 6818 Which of the following crops did the household receive training on?:Cow Peas 261 6818 0 No 246 1 Yes 15 Sysmiss 6818 Which of the following crops did the household receive training on?:Pigeon Peas 261 6818 0 No 253 1 Yes 8 Sysmiss 6818 Which of the following crops did the household receive training on?:Groundnuts 261 6818 0 No 227 1 Yes 34 Sysmiss 6818 Which of the following crops did the household receive training on?:Simsim 261 6818 0 No 236 1 Yes 25 Sysmiss 6818 Which of the following crops did the household receive training on?:Soya Beans 261 6818 0 No 228 1 Yes 33 Sysmiss 6818 Which of the following crops did the household receive training on?:Sweet Potato 261 6818 0 No 243 1 Yes 18 Sysmiss 6818 Which of the following crops did the household receive training on?:Irish Potato 261 6818 0 No 242 1 Yes 19 Sysmiss 6818 Which of the following crops did the household receive training on?:Other (Speci 261 6818 0 No 212 1 Yes 49 Sysmiss 6818 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 25 1 Yes 7 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 29 1 Yes 3 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 19 1 Yes 13 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 24 1 Yes 8 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 21 1 Yes 11 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 30 1 Yes 2 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 30 1 Yes 2 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 30 1 Yes 2 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 31 1 Yes 1 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 32 1 Yes 0 Sysmiss 7047 Which of the following crops/commodities did the household receive training on?: 32 7047 0 No 28 1 Yes 4 Sysmiss 7047 hh rvd advice from extension workers 5949 1130 1 Yes 301 2 No 5642 3 Don't know 6 Sysmiss 1130 Received advice from sources:Local Government 468 6611 0 No 250 1 Yes 218 Sysmiss 6611 Received advice from sources:Input Supplier 468 6611 0 No 427 1 Yes 41 Sysmiss 6611 Received advice from sources:Non Governmental Organization (NGO) 468 6611 0 No 331 1 Yes 137 Sysmiss 6611 Received advice from sources:Cooperative/Farmer's Association 468 6611 0 No 431 1 Yes 37 Sysmiss 6611 Received advice from sources:Model Farmers 468 6611 0 No 446 1 Yes 22 Sysmiss 6611 Received advice from sources:Other (Specify) 468 6611 0 No 458 1 Yes 10 Sysmiss 6611 existence of a pending land dispute 5948 1131 1 Yes 280 2 No 5668 Sysmiss 1131 no. of disputes currently going on 280 6799 1 253 2 21 3 5 4 1 Sysmiss 6799 In the past 5 years, did you or anyone in your household have a land dispute RES 5949 1130 1 Yes 351 2 No 5598 Sysmiss 1130 no of disputes solved in the last five years 351 6728 1 313 2 30 3 5 4 2 5 1 Sysmiss 6728 Land dispute with the HUSBAND'S FAMILY 569 6510 0 No 459 1 Yes 110 Sysmiss 6510 Land dispute with the WIFE'S FAMILY 569 6510 0 No 562 1 Yes 7 Sysmiss 6510 Land dispute with BROTHER/SISTER/PARENTS 569 6510 0 No 472 1 Yes 97 Sysmiss 6510 Land dispute with OTHER RELATIVES 569 6510 0 No 456 1 Yes 113 Sysmiss 6510 Land dispute with LANDLORD 569 6510 0 No 528 1 Yes 41 Sysmiss 6510 Land dispute with SQUATTER/MIGRANT 569 6510 0 No 563 1 Yes 6 Sysmiss 6510 Land dispute with TENANT 569 6510 0 No 568 1 Yes 1 Sysmiss 6510 Land dispute with NEIGHBOUR(S) 569 6510 0 No 345 1 Yes 224 Sysmiss 6510 Land dispute with OTHER(Specify) 569 6510 0 No 558 1 Yes 11 Sysmiss 6510 year of dispute start 569 6510 1 2020 2013.091 84.579 use of INFORMAL methodds for land dispute resolutions 569 6510 1 Yes 468 2 No 101 Sysmiss 6510 use of FORMAL methodds for land dispute resolutions 569 6510 1 Yes 217 2 No 352 Sysmiss 6510 if dispute has been resolved 569 6510 1 Yes 326 2 No, still ongoing 243 Sysmiss 6510 year of dispute resolution 326 6753 2008 1 2015 3 2016 10 2017 19 2018 32 2019 192 2020 69 Sysmiss 6753 5949 1130 1 Family 475 2 Friends/elders 1268 3 Local Council 3977 4 Courts of law 157 5 Police 59 6 None 10 9 Other (Specify) 3 Sysmiss 1130 Interview Result during the Post-Harvest 7079 0 1 Interview completed 5952 2 Partially done 2 3 Not done 1125 First reason for the food shortage 2291 4788 0 Reason not specified 0 1 Loss of crops/insufficient production 1990 2 Over selling produce 33 3 Loss of livestock 10 4 Inability to work because of illness, disability, injury or old age 85 5 Lack of adequate land 85 6 Lack of capital 58 7 Lack of laborers on the farm 9 8 Lack of job opportunity outside the holding 9 9 Other 12 Sysmiss 4788 Second main reason for the food shortage 2291 4788 0 Reason not specified 1012 1 Loss of crops/insufficient production 72 2 Over selling produce 99 3 Loss of livestock 51 4 Inability to work because of illness, disability, injury or old age 184 5 Lack of adequate land 373 6 Lack of capital 354 7 Lack of laborers on the farm 59 8 Lack of job opportunity outside the holding 85 9 Other 2 Sysmiss 4788 Third main reason for the food shortage 2291 4788 0 Reason not specified 1639 1 Loss of crops/insufficient production 32 2 Over selling produce 17 3 Loss of livestock 11 4 Inability to work because of illness, disability, injury or old age 32 5 Lack of adequate land 118 6 Lack of capital 280 7 Lack of laborers on the farm 64 8 Lack of job opportunity outside the holding 95 9 Other 3 Sysmiss 4788 Number of household members attending trainings on agriculture during the last 1 7079 0 0 6718 1 306 2 52 3 2 4 1 source of agric loan:Commercial Banks/Micro Finance Institutions 0 7079 Sysmiss 7079 source of agric loan:Government Agency / Non Government Organisations (NGOs) 0 7079 Sysmiss 7079 if hh has access to transport means:boat/ferry 0 7079 Sysmiss 7079 if hh has access to transport means:oxen/donkeys/mules 0 7079 Sysmiss 7079 Household Id 23761 0 enumeration Area code 23761 0 10101 42906 29679.536 10956.804 Calibrated weight 23761 0 162.017 5054.672 1018.509 497.438 Region Name 23761 0 1 Central Region 3231 2 Eastern Region 6926 3 Northern Region 4402 4 Western Region 9202 Sub-Region 23761 0 1 South Buganda 1949 2 North Buganda 1282 3 West Nile 596 4 Lango 1092 5 Acholi 1990 6 Kigezi 1760 7 Bunyoro 2399 8 Tooro 1570 9 Busoga 1576 10 Teso 2316 11 Bukedi 1981 12 Elgon 1053 13 Karamoja 724 14 Ankole 3473 Zardi 23761 0 1 Abi 596 2 Buginyanya 4610 3 Bulindi 2399 4 Kachwekano 1760 5 Mukono 2634 6 Ngetta 3082 7 Nubin 724 8 Serere 2316 9 Mbarara 4070 10 Rwebitaba 1570 Id in infoRoster 23761 0 1 Weather 3496 2 Crop varieties 3079 3 Crop diseases 3574 4 New agricultural practices 1729 5 Farm machinery 1034 6 Credit facilities 1975 7 Prices of commodities 3383 8 Where to sell the production 2780 9 Livestock 2711 Q02: main source of agricultural information 23761 0 1 Radio 11032 2 Television 790 3 Telephone 117 4 Internet 23 5 Newspapers 11 6 Magazines 4 7 Extension workers 299 8 Farmer to Farmer 6870 9 NAADS/Operation Wealth Creation 57 10 Agricultural Shows 103 11 NGOs 148 12 Word of Mouth/Peers 4204 13 Demonstration Farms/Plots 41 99 Other (Specify) 62 Household Id 465 0 H00197375D 1 H00343734D 1 H00643571D 1 H00790146D 1 H00830101D 2 H01040649D 1 H01160335D 1 H01221055D 1 H01940401D 1 H02959371D 1 H02986947D 1 H03029776D 1 H03292566D 1 H03684592D 1 H05107807D 2 H06915680D 1 H07511608D 1 H08581040D 1 H10049669D 1 H10368939D 1 H10932434D 2 H11052913D 1 H11072659D 1 H11595353D 1 H11739399D 1 H12480466D 1 H12586816D 1 H12697084D 1 H12700467D 1 H12963930D 1 H13083348D 1 H13111397D 1 H13800430D 1 H14430198D 1 H14504502D 1 H14614026D 1 H14811547D 1 H14885364D 1 H15231331D 1 H15377057D 1 H16131627D 1 H17048097D 1 H17138970D 1 H17566601D 1 H18167053D 1 H18472522D 1 H18617100D 1 H18684479D 1 H18697251D 1 H19009771D 1 H19263229D 1 H19323946D 1 H20176085D 1 H20376755D 1 H20900930D 1 H21300674D 1 H21325410D 1 H21886751D 1 H22499140D 1 H22519099D 1 H22534210D 1 H22647588D 2 H22768739D 1 H23141678D 1 H23418422D 2 H23576376D 1 H24034006D 1 H24434062D 1 H24901547D 1 H25197679D 1 H25298207D 1 H25319052D 1 H25591823D 1 H25745738D 1 H25912463D 1 H26010251D 1 H26183725D 1 H26187486D 1 H26242700D 1 H26287343D 1 H26350225D 1 H26640449D 1 H26988929D 1 H27035740D 1 H27147995D 1 H27296614D 1 H27496230D 1 H27892826D 1 H28020306D 1 H28183671D 1 H28413781D 1 H28526913D 1 H28685035D 1 H28932654D 1 H29010612D 1 H29061433D 1 H29066414D 1 H29082572D 1 H29205511D 1 H29414639D 2 H29489517D 1 H29817925D 1 H29979893D 1 H29997162D 1 H30149026D 1 H30214346D 1 H30465798D 1 H30524545D 1 H30718214D 1 H30925194D 1 H31207712D 1 H31219061D 1 H31539536D 1 H31584427D 1 H32920843D 2 H33039774D 1 H33226984D 1 H33306594D 1 H33719380D 1 H33818030D 2 H33976138D 1 H34337163D 1 H34628710D 1 H34930022D 1 H35190936D 1 H35285929D 1 H35685980D 1 H36092131D 1 H36133772D 2 H37015805D 1 H37230980D 1 H37241822D 1 H37242612D 1 H37560202D 1 H37624659D 2 H37775074D 1 H38147438D 1 H38717640D 1 H38828259D 1 H39062559D 1 H39083040D 1 H39426635D 1 H39632792D 1 H39751042D 1 H39817472D 2 H39872279D 1 H40111300D 2 H40310270D 1 H40347840D 1 H40730033D 1 H40860395D 1 H40915625D 1 H41047596D 1 H41254504D 1 H41405892D 1 H41420729D 2 H41479069D 1 H41847314D 1 H42118200D 1 H42247340D 1 H42338767D 1 H42996293D 1 H43021724D 1 H43642983D 1 H43707166D 1 H43717897D 1 H44215984D 1 H44272538D 1 H44322293D 1 H44336256D 1 H44411629D 1 H44649509D 1 H44760962D 1 H44965335D 2 H44981658D 1 H44989160D 1 H45157026D 1 H45308813D 1 H45396704D 1 H45604574D 1 H45780187D 1 H45873973D 1 H46283214D 1 H47356873D 1 H47570850D 1 H47854979D 1 H48041386D 1 H48468486D 1 H48622538D 1 H48831966D 1 H48977540D 1 H49942001D 1 H49973989D 1 H50376950D 1 H50541811D 1 H50928434D 1 H51001855D 1 H51145342D 1 H51316355D 1 H51424227D 1 H51596911D 1 H51604381D 1 H52213737D 3 H52716846D 1 H52904667D 1 H52908428D 1 H52990974D 1 H53066638D 1 H53086643D 1 H53292470D 1 H53411547D 1 H53579748D 1 H53582803D 1 H53588956D 1 H53630871D 1 H53806030D 2 H54039440D 1 H54444504D 1 H54740851D 1 H54782454D 3 H54879594D 1 H54925099D 1 H55005550D 1 H55117005D 1 H55124319D 1 H55923363D 1 H55927308D 1 H56045708D 2 H56671737D 1 H56977573D 1 H57208141D 2 H57817198D 1 H57899311D 1 H57976979D 1 H58098058D 1 H58594553D 2 H58644258D 1 H58966695D 1 H59044616D 1 H59208561D 1 H59473565D 2 H59581540D 1 H59750250D 1 H59781440D 1 H59976416D 1 H60178677D 1 H60278219D 1 H60616156D 1 H60617408D 1 H60728483D 1 H60879208D 1 H61512668D 1 H61585281D 1 H61837068D 1 H61965004D 1 H63773833D 1 H63821403D 1 H63930696D 1 H64083466D 1 H64327733D 1 H64359408D 1 H64422478D 1 H64670015D 1 H64702038D 1 H64804215D 1 H65022910D 1 H65125858D 1 H65182412D 1 H65560716D 1 H65643562D 1 H65684251D 1 H66120149D 1 H66174627D 1 H66293427D 1 H66509114D 1 H66665232D 1 H66688281D 1 H67235001D 1 H67330373D 1 H67335009D 1 H67465902D 1 H67761092D 1 H67869368D 1 H68123092D 1 H68201170D 1 H68376965D 2 H68569721D 1 H69123729D 1 H69284924D 1 H69347578D 1 H69936668D 1 H69975602D 2 H69990722D 1 H70064597D 1 H70913089D 1 H70974630D 3 H71048709D 1 H71164650D 1 H71335051D 1 H71557791D 1 H71779767D 1 H72008650D 1 H72090886D 1 H72253969D 1 H72263220D 1 H72409108D 1 H72433198D 1 H72597754D 1 H72678304D 2 H73488708D 1 H73634615D 1 H73739858D 1 H73956870D 1 H74949381D 1 H75122127D 1 H75346305D 1 H75618209D 1 H75855500D 1 H76028531D 1 H76187078D 1 H76297114D 2 H76630408D 1 H76765408D 1 H76975335D 1 H77203945D 1 H77428221D 1 H77435596D 1 H77438042D 1 H77561349D 1 H77580899D 1 H77833804D 1 H77990341D 1 H78038153D 1 H78221833D 2 H78272059D 1 H78372335D 1 H78850915D 1 H79143582D 1 H79216278D 1 H79232580D 1 H79357034D 2 H79401100D 1 H79402959D 1 H79764314D 1 H79947119D 1 H80024712D 1 H80320913D 1 H80409386D 1 H80571622D 1 H80608988D 1 H80613173D 1 H80691093D 1 H80699005D 1 H80788108D 1 H80940117D 1 H81400149D 1 H81816256D 1 H81899208D 1 H81928026D 1 H82394752D 1 H82505936D 1 H82531033D 1 H83143040D 1 H83210345D 1 H83306794D 1 H83485932D 1 H83571247D 1 H83666261D 1 H84266635D 3 H84517912D 1 H84984279D 1 H85009815D 1 H85040468D 1 H85086808D 1 H85269979D 1 H86174243D 1 H86204121D 1 H86321657D 1 H86539982D 1 H86619146D 1 H86821554D 2 H87045489D 1 H87063562D 1 H87193422D 1 H87300181D 1 H87928666D 1 H88017460D 1 H88050330D 1 H88694487D 1 H88697100D 1 H89009816D 1 H89327956D 1 H89379904D 1 H89398709D 1 H89469405D 1 H89557829D 1 H89840985D 1 H90326488D 1 H90640777D 2 H90711202D 1 H90881282D 1 H91367415D 1 H91550978D 1 H91584368D 1 H92041604D 2 H92713052D 1 H92797128D 1 H93009941D 1 H93783254D 1 H93852104D 1 H94514076D 1 H95055265D 1 H95342809D 1 H95449378D 1 H95822408D 1 H96414964D 1 H96497587D 1 H96762044D 1 H96806914D 1 H97064640D 1 H97344620D 1 H97452986D 1 H97576431D 1 H97583565D 1 H97601166D 1 H99070291D 1 H99094691D 1 H99587499D 1 H99943275D 1 Calibrated weight 465 0 162.017 3444.184 973.683 472.367 Region Name 465 0 1 Central Region 72 2 Eastern Region 101 3 Northern Region 138 4 Western Region 154 Sub-Region 465 0 1 South Buganda 33 2 North Buganda 39 3 West Nile 20 4 Lango 21 5 Acholi 85 6 Kigezi 56 7 Bunyoro 34 8 Tooro 33 9 Busoga 26 10 Teso 7 11 Bukedi 34 12 Elgon 34 13 Karamoja 12 14 Ankole 31 Zardi 465 0 1 Abi 20 2 Buginyanya 94 3 Bulindi 34 4 Kachwekano 56 5 Mukono 62 6 Ngetta 106 7 Nubin 12 8 Serere 7 9 Mbarara 41 10 Rwebitaba 33 Id in infoSource 465 0 1 Local Government 218 2 Input Supplier 41 3 Non Governmental Organization (NGO) 137 4 Cooperative/Farmer's Association 37 5 Model Farmers 22 9 Other (Specify) 10 Q05: How advice acquired:Household member travelled to service provider 465 0 0 163 1 302 Q05: How advice acquired:Service provider visited the household/farm 465 0 0 286 1 179 Q06: Household members receiving advice/information 447 18 1 353 2 83 3 5 4 4 9 1 11 1 Sysmiss 18 Q06: Household members receiving advice/information 72 393 1 1 2 67 4 1 5 2 7 1 Sysmiss 393 Q06: Household members receiving advice/information 6 459 3 4 5 1 6 1 Sysmiss 459 Q06: Household members receiving advice/information 0 465 Sysmiss 465 Q06: Household members receiving advice/information 0 465 Sysmiss 465 Q07: Information on items:Agricultural production 460 5 0 No 109 1 Yes 351 11 .A 5 Q07: Information on items:Agricultural prices 445 20 0 No 327 1 Yes 118 11 .A 20 Q07: Information on items:Agro-Processing 440 25 0 No 387 1 Yes 53 11 .A 25 Q07: Information on items:Crop marketing 447 18 0 No 348 1 Yes 99 11 .A 18 Q07: Information on items:Livestock marketing 446 19 0 No 399 1 Yes 47 11 .A 19 Q07: Information on items:Fish production 438 27 0 No 431 1 Yes 7 11 .A 27 Q07: Information on items:Livestock production: Meat 439 26 0 No 400 1 Yes 39 11 .A 26 Q07: Information on items:Livestock production: Milk/eggs 438 27 0 No 387 1 Yes 51 11 .A 27 Q07: Information on items:Livestock breeding/feeding/watering 447 18 0 No 363 1 Yes 84 11 .A 18 Q07: Information on items:Control of livestock/crop Diseases 448 17 0 No 264 1 Yes 184 11 .A 17 Q07: Information on items:Safe use and handling of agricultural Chemicals 445 20 0 No 345 1 Yes 100 11 .A 20 Q07: Information on items:Agricultural input use 448 17 0 No 296 1 Yes 152 11 .A 17 Q07: Information on items:Labour-rights related aspects (child labour, gender eq 444 21 0 No 437 1 Yes 7 11 .A 21 Q07: Information on items:Entrepreneurship and business 447 18 0 No 413 1 Yes 34 11 .A 18 Q08: if any hh member sought any advice 465 0 1 Yes 155 2 No 310 3 Don't know 0 Q09: Number of solicited or on-demand visits 155 310 0 57 1 41 2 33 3 13 4 7 5 1 6 1 10 1 12 1 Sysmiss 310 Q10: Number of routine/ unsolicited visits 155 310 0 82 1 28 2 27 3 6 4 5 5 2 6 2 10 2 12 1 Sysmiss 310 Q11: Number of times person visited information sources 465 0 0 30 1.746 2.335 Q12: was any payment for advice made 465 0 1 Yes 46 2 No 419 3 Don't know 0 Q13: Services paid for:Agricultural production 46 419 0 No 36 1 Yes 10 Sysmiss 419 Q13: Services paid for:Agricultural prices 46 419 0 No 45 1 Yes 1 Sysmiss 419 Q13: Services paid for:Agro-processing 46 419 0 No 45 1 Yes 1 Sysmiss 419 Q13: Services paid for:Crop marketing 46 419 0 No 44 1 Yes 2 Sysmiss 419 Q13: Services paid for:Livestock marketing 46 419 0 No 46 1 Yes 0 Sysmiss 419 Q13: Services paid for:Fish production 46 419 0 No 45 1 Yes 1 Sysmiss 419 Q13: Services paid for:Livestock production: Meat 46 419 0 No 46 1 Yes 0 Sysmiss 419 Q13: Services paid for:Livestock production: Milk/eggs 46 419 0 No 45 1 Yes 1 Sysmiss 419 Q13: Services paid for:Livestock breeding/feeding/watering 46 419 0 No 40 1 Yes 6 Sysmiss 419 Q13: Services paid for:Control of livestock diseases 46 419 0 No 18 1 Yes 28 Sysmiss 419 Q13: Services paid for:Safe use and handling of agricultural chemicals 46 419 0 No 45 1 Yes 1 Sysmiss 419 Q13: Services paid for:Agricultural input use 46 419 0 No 37 1 Yes 9 Sysmiss 419 Q13: Services paid for:Labour-rights related aspects (ex. child labour, gender e 46 419 0 No 46 1 Yes 0 Sysmiss 419 Q13: Services paid for:Entrepreneurship and business 46 419 0 No 46 1 Yes 0 Sysmiss 419 Q13: Services paid for:Other (Specify) 46 419 0 No 46 1 Yes 0 Sysmiss 419 Q14: Amount paid for extension services 46 419 3000 200000 35695.652 41410.074 Q15: Respondent's rating of agricultural advice 465 0 1 Good 434 2 Average 31 3 Bad 0 Household Id 843 0 H00164173D 2 H00275592D 1 H00338100D 1 H00445353D 1 H00819304D 4 H01306611D 1 H01435853D 1 H01512730D 2 H01660172D 1 H02123983D 1 H02316884D 1 H02665046D 1 H02959371D 1 H03127768D 2 H03359826D 2 H03784013D 1 H04013332D 1 H04632915D 1 H05007741D 1 H05086572D 2 H05096495D 1 H05107807D 1 H05476860D 2 H05577348D 2 H06153990D 1 H06847995D 1 H06886852D 2 H06969850D 14 H07470757D 1 H07705255D 1 H07865185D 1 H08571718D 4 H08772126D 1 H08901773D 2 H08904304D 2 H09215382D 2 H09267407D 1 H09661314D 1 H09859423D 1 H09967316D 1 H10121267D 3 H10330241D 1 H10744029D 1 H10932434D 1 H11741395D 4 H11889394D 2 H12480466D 1 H12559023D 1 H12683374D 4 H12697084D 9 H12812134D 1 H12838748D 1 H12963930D 2 H13111397D 3 H13214400D 6 H13519862D 1 H13615041D 1 H13652728D 2 H13672845D 1 H13995863D 1 H14317808D 3 H14615272D 1 H14840370D 2 H15231331D 1 H15896519D 2 H16141206D 4 H16301826D 1 H16304934D 4 H16466213D 1 H16777893D 1 H17088594D 3 H17435584D 1 H17566601D 5 H17606026D 1 H18110417D 3 H18167053D 1 H18372280D 1 H18465786D 2 H18697251D 2 H19026572D 1 H19159012D 2 H19323946D 3 H19676842D 2 H19853187D 1 H19885635D 1 H20883102D 1 H21004237D 2 H21030079D 2 H21479521D 1 H21925341D 1 H22534210D 2 H22689102D 1 H22794137D 1 H22988022D 1 H23141678D 2 H23189982D 1 H23635523D 3 H23786392D 1 H23853593D 1 H24070466D 1 H24273168D 2 H24564620D 1 H24598417D 1 H25197679D 2 H25719796D 1 H25760282D 1 H26640449D 2 H26834984D 2 H27024033D 4 H27113822D 1 H27147995D 1 H27242364D 1 H27514930D 1 H27527498D 1 H27696258D 1 H27892826D 2 H28040403D 3 H28145204D 1 H28206658D 2 H28388682D 1 H28433628D 2 H28526913D 1 H28903432D 2 H29400139D 1 H29784469D 3 H29874682D 1 H30149026D 2 H30388865D 1 H30530385D 1 H30718214D 1 H30800976D 1 H30891700D 2 H31179410D 1 H31219061D 1 H31298366D 2 H31539536D 1 H31839649D 2 H32305891D 1 H32384322D 12 H32537507D 1 H33110521D 1 H33344675D 2 H33818030D 1 H35099819D 1 H35190936D 1 H35980330D 2 H36011206D 1 H36065331D 1 H36133772D 6 H36181891D 3 H36400231D 2 H36542931D 1 H37015805D 1 H37018436D 1 H37235912D 2 H37241822D 1 H37392289D 1 H37624659D 2 H38007670D 1 H38117793D 3 H38157052D 1 H38749818D 1 H38755976D 1 H38787870D 1 H38862534D 2 H39650133D 2 H39751042D 1 H39824186D 2 H39872279D 1 H39978981D 1 H40428498D 1 H40569138D 1 H40730033D 6 H40764979D 1 H40860395D 1 H41256885D 6 H41429961D 2 H41788356D 4 H42024019D 3 H42074739D 2 H42272931D 2 H42970757D 1 H43021724D 1 H43212698D 1 H43224707D 1 H43450429D 1 H43805811D 2 H43913075D 1 H43916687D 1 H44025694D 1 H44028738D 4 H44060430D 1 H44155677D 2 H44176224D 1 H44436107D 1 H44580293D 2 H44645397D 5 H45087679D 3 H45241835D 1 H45451990D 2 H45724574D 1 H45873973D 1 H46042809D 1 H46088707D 1 H46293819D 1 H46737676D 1 H46808104D 1 H47814076D 4 H47830537D 1 H47850272D 1 H47889258D 2 H48157065D 1 H48370982D 1 H48409124D 2 H48468486D 1 H48581834D 1 H48608126D 1 H48720895D 2 H48877397D 2 H49071988D 2 H49485561D 1 H50541811D 1 H50794736D 1 H50928434D 1 H51224928D 13 H51639306D 5 H51806520D 1 H52213737D 1 H52279193D 1 H52602727D 2 H52904667D 6 H53389021D 1 H53429659D 2 H53626811D 1 H53903956D 2 H53938691D 2 H54094622D 1 H54099014D 1 H54123596D 1 H54130099D 1 H55573136D 4 H55695603D 1 H55726261D 1 H55927308D 1 H56496100D 2 H56584387D 5 H56893879D 1 H57002781D 1 H57046920D 4 H57208141D 2 H57248349D 2 H57256358D 1 H57324150D 1 H57425184D 1 H57500547D 2 H57501890D 2 H57913699D 1 H57918803D 4 H57962898D 1 H58309667D 2 H58955000D 2 H58995535D 4 H59005918D 2 H59034965D 2 H59044616D 1 H59049856D 1 H59241952D 8 H59538909D 1 H59976416D 1 H60194576D 3 H60205877D 3 H60446632D 2 H60617408D 1 H61169480D 2 H61203450D 1 H61367607D 3 H61380312D 1 H61505961D 3 H61512668D 2 H61975838D 1 H62475764D 2 H62556276D 1 H62881899D 3 H62923909D 1 H63379003D 1 H63650039D 1 H63711649D 3 H63760029D 1 H63819112D 1 H63885634D 1 H64288760D 1 H64702038D 3 H64803526D 2 H64829656D 1 H65079056D 1 H65153671D 2 H65467637D 2 H65476799D 1 H65633572D 1 H65660566D 5 H65985247D 1 H66115120D 1 H66174627D 1 H66293427D 3 H66396894D 1 H66688281D 6 H67335009D 2 H67420967D 1 H67859900D 1 H67869368D 1 H67919416D 1 H68072845D 1 H68371882D 1 H68421323D 4 H68599838D 2 H68997134D 1 H69058006D 2 H69076107D 3 H69123729D 2 H69900291D 1 H69908052D 2 H70181666D 1 H70443915D 4 H71048709D 3 H71261601D 2 H71610305D 1 H71854069D 1 H71947466D 1 H71954457D 1 H72519541D 2 H72597754D 3 H72934329D 1 H73292693D 1 H73384086D 1 H73488708D 1 H73956870D 1 H74042309D 2 H74078805D 1 H74624834D 1 H74949381D 2 H74979578D 2 H75105573D 2 H75238120D 1 H75618209D 2 H75822653D 4 H75855500D 1 H76413970D 1 H76482830D 3 H76704033D 1 H76830136D 1 H76995801D 1 H77073196D 1 H77127869D 1 H77203945D 3 H77264976D 1 H77428221D 3 H77677475D 2 H77932706D 1 H78221833D 2 H78337410D 2 H78874121D 1 H79018369D 1 H79110399D 1 H79143582D 2 H79216278D 1 H79401100D 1 H79567797D 1 H79640492D 4 H79796370D 2 H80151917D 2 H80285193D 6 H80320913D 2 H80387259D 2 H80409386D 3 H80512399D 1 H80861190D 4 H80888958D 3 H81176028D 1 H81677946D 1 H81682574D 3 H81695500D 1 H81794193D 1 H81899208D 2 H82258408D 2 H82284348D 1 H82394919D 1 H83031184D 1 H83225032D 1 H83412622D 1 H83934594D 1 H84114684D 1 H84300153D 1 H84382930D 1 H84459372D 1 H84556858D 1 H84571026D 1 H84679471D 1 H84693491D 2 H84722359D 1 H84940508D 1 H84963804D 2 H85009815D 1 H85264014D 2 H85339726D 2 H86145109D 2 H86370959D 1 H86542563D 1 H86737644D 3 H86770637D 4 H86786529D 2 H86977443D 1 H87276673D 1 H87300181D 1 H87389355D 3 H87436493D 2 H87879927D 1 H87983315D 1 H88050330D 1 H88262682D 1 H88608349D 1 H88612443D 1 H88677934D 1 H88679541D 2 H89213087D 2 H89379904D 3 H90089993D 1 H90247401D 2 H90722976D 2 H90795323D 1 H91291159D 1 H91325860D 2 H92009182D 2 H92213437D 6 H92338262D 1 H92427991D 4 H92460909D 1 H92474551D 1 H92572198D 1 H92752281D 4 H93184035D 2 H93519934D 2 H93958220D 3 H94154965D 1 H94514076D 1 H94564690D 1 H94895437D 1 H94967308D 1 H95169189D 1 H95474637D 1 H95598199D 1 H95672561D 3 H96373668D 1 H96384675D 2 H96414964D 1 H96902975D 3 H96963625D 1 H97047004D 1 H97601166D 2 H97651427D 1 H97741800D 1 H97910407D 1 H98198439D 2 H98485915D 1 H98611375D 1 H98617791D 1 H98981738D 6 H99094691D 2 H99105347D 1 H99988769D 3 H99994986D 1 enumeration Area code 843 0 10301 42906 24296.407 12318.326 Calibrated weight 843 0 276.45 5054.672 1159.824 503.948 Region Name 843 0 1 Central Region 296 2 Eastern Region 264 3 Northern Region 19 4 Western Region 264 Sub-Region 843 0 1 South Buganda 138 2 North Buganda 158 3 West Nile 1 4 Lango 6 5 Acholi 11 6 Kigezi 75 7 Bunyoro 93 8 Tooro 76 9 Busoga 50 10 Teso 0 11 Bukedi 26 12 Elgon 188 13 Karamoja 1 14 Ankole 20 Zardi Name 843 0 1 Abi 1 2 Buginyanya 264 3 Bulindi 93 4 Kachwekano 75 5 Mukono 250 6 Ngetta 17 7 Nubin 1 8 Serere 0 9 Mbarara 66 10 Rwebitaba 76 Parcel ID 843 0 1 327 2 268 3 124 4 68 5 26 6 13 7 7 8 5 9 2 10 2 11 1 Plot ID 843 0 1 506 2 188 3 94 4 28 5 16 6 7 7 3 8 1 Inorganic fertilizer ID 843 0 BOOSTER 33 CAN (Calcium Ammonium Nitrate) 54 DAP (Diammonium Phosphate) 114 FOLIAR FERTILIZER 15 MOP (Muriate of Potash) 1 NPK (Nitrogen Phosphorous Potassium) 200 Other (Specify) 19 RAPID GROW 49 SUPER GREEN 30 SUPER GROW 101 Super Phosphate-Single(SSP) or Triple(TSP) 5 Urea 135 VEGIMAX 87 Other type of inorganinc Fertilizer NEC OTHER type of inorganic fertilizer applied on [PLOT NAME] 17 0 EASY GROW 5 Maize plus / Metrozin 1 Organic manure 1 RAPID GROW 3 SUPER GROW 5 VEGIMAX 2 method of obtaining inorganic fertilizer:Purchased How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 843 0 0 21 1 822 method of obtaining inorganic fertilizer:Received for free How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 843 0 0 822 1 21 method of obtaining inorganic fertilizer:Other How did you obtain the [INORGANIC FERTILIZER] used on this [PLOT NAME]? 843 0 0 841 1 2 Quantity of solid inorganic fertilizer applied (kg) What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 503 340 0.25 1250 38.326 83.901 Quantity of liquid inorganic fertilizer applied (ltr) What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 336 507 0.0005 200 1.988 11.061 Quantity of solid inorganic fertilizer bought (kg) What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 483 360 0.25 750 35.691 63.93 Quantity of liquid inorganic fertilizer bought (ltr) What is the unit of measure of [INORGANIC FERTILIZER] that was bought? 332 511 0.0005 200 1.991 11.127 Unit price of one kg or inorganic fertilizer 483 360 15 9000000 24826.636 409575.347 Unit price of one lt of inorganic fertilizer 332 511 30 15000000 339847.277 1546518.129 Household Id 33985 0 Member ID 33985 0 1 5954 2 5671 3 5330 4 4710 5 3877 6 2974 7 2109 8 1384 9 882 10 530 11 305 12 163 13 96 enumeration Area code 33985 0 10101 42906 28760.294 10728.437 Calibrated weight 33985 0 162.017 5054.672 1026.481 501.783 Region Name 33985 0 1 Central Region 5141 2 Eastern Region 9620 3 Northern Region 8294 4 Western Region 10930 Sub region 33983 2 1 South Buganda 2307 2 North Buganda 2833 3 West Nile 2359 4 Lango 2162 5 Acholi 2338 6 Kigezi 2238 7 Bunyoro 2600 8 Tooro 2762 9 Busoga 2315 10 Teso 2606 11 Bukedi 2619 12 Elgon 2079 13 Karamoja 1435 14 Ankole 3330 Sysmiss 2 zardi 33985 0 1 Abi 2359 2 Buginyanya 7014 3 Kachwekano 0 4 Bulindi 2600 5 Kachwekano 2238 6 Mukono 4404 7 Ngetta 4500 8 Nubin 1435 9 Serere 2606 10 Mbarara 4067 11 Rwebitaba 2762 Sex What is the sex of [NAME]? 33984 1 1 Male 16666 2 Female 17318 Sysmiss 1 Relationship to household head What is [NAME]'s relationship to household head? 33231 754 1 Head 5823 2 Spouse 4238 3 Son/Daughter/Step Child 18523 4 Parent 86 5 Other Relative 4358 6 Non-Relative 203 Sysmiss 754 residential status What is the residential status of [NAME]? 33985 0 1 Usual Member 31239 2 Regular Member 2624 3 Guest 122 age How old is [NAME] in completed years? 33985 0 0 65 20.457 17.294 marital status What is [NAME]'s current marital status? 22650 11335 1 Married 9302 2 Divorced/ Separated 887 3 Widowed 1074 4 Never married 11387 5 structural Missing 0 Sysmiss 11335 education level 30586 3399 1 Nursery or never been to school 6953 2 Did not complete primary one (P1) 762 3 Primary 17338 4 Junior/Senior 4313 5 Certificate /Training (Vocational or Literacy 706 6 Diploma/Degree/Post Graduate 509 7 Don't Know 5 8 Other (Specify) 0 9 structural Missing 0 Sysmiss 3399 ability to read and write Can [NAME] read and write in any language? 22887 11098 1 Yes 15645 2 No 7242 Sysmiss 11098 Main economic activity in the last 12 months What was [NAME]'s main economic activity in the last 12 months? 22779 11206 1 Crop Production 10731 2 Livestock Production 260 3 Other agricultural activities 55 4 Horticulture 0 5 Trader 502 6 Artisan - worker in a skilled trade 188 7 Agricultural paid job outside the holding 111 8 Non-agricultural paid job 1522 9 No activity - looking for work 155 10 No activity - not looking for work 458 11 Student 8509 12 Household work 288 13 structural Missing 0 Sysmiss 11206 Employment status in the main activity 33985 0 1 Own Account Worker (independent) 8864 2 Employer 41 3 Salaried Worker 964 4 Task Worker 801 5 Unpaid Family Member 2718 6 Trainee/Volunteer/Intern 35 7 Member of a Cooperative 5 9 Other (Specify) 0 999 structural Missing 20557 if hh member belongs to a farmers’ group 17420 16565 1 Yes 997 2 No 16423 Sysmiss 16565 Household Id 2296 0 enumeration Area code 2296 0 10101 42906 29192.302 12012.449 Calibrated weight 2296 0 238.901 5054.672 990.852 433.875 Region Name 2296 0 1 Central Region 384 2 Eastern Region 804 3 Northern Region 41 4 Western Region 1067 Sub-Region 2296 0 1 South Buganda 214 2 North Buganda 170 3 West Nile 31 4 Lango 2 5 Acholi 5 6 Kigezi 379 7 Bunyoro 37 8 Tooro 32 9 Busoga 26 10 Teso 468 11 Bukedi 36 12 Elgon 274 13 Karamoja 3 14 Ankole 619 Zardi Name 2296 0 1 Abi 31 2 Buginyanya 336 3 Bulindi 37 4 Kachwekano 379 5 Mukono 327 6 Ngetta 7 7 Nubin 3 8 Serere 468 9 Mbarara 676 10 Rwebitaba 32 Parcel ID in PP 2296 0 1 1523 2 427 3 187 4 101 5 32 6 15 7 6 8 2 9 1 10 2 Plot ID in PP 2296 0 1 769 2 1177 3 211 4 95 5 31 6 8 7 5 Organic fertilizer ID 2296 0 1 Commercial organic fertilizer (e.g. Fertiplus, Biochar) 11 2 Animal droppings 1222 3 Animal or human urine 22 4 Animals on plot overnight 62 5 Chicken and other bird droppings 273 6 Plant residue/compost 555 7 Green plant cover crops 93 8 Ash 51 9 Municipal waste/rubbish 5 10 Sewage/sludge 2 99 Other (specify) 0 quantity of organic fertilizer applied on plot How much [ORGANIC FERTILIZER] did you apply to this [PLOT NAME]? 2141 155 0.5 800 8.864 25.132 unit of measure for the organic fertilizer applied What is the unit of measure of [ORGANIC FERTILIZER] that was applied? 2141 155 1 Litre 18 2 Kilogram (Kg) 28 3 Basin 488 4 Wheel barrow 660 5 Sack (50 kg) 44 6 Sack (100 kg) 723 7 Pickup truck 50 8 Truck Elf 124 99 Other (Specify) 6 Sysmiss 155 OTHER unit of measure for [ORGANIC FERTILIZER] 6 0 basin 2 buckets 1 bundles 3 source of organic fertilizer:Home made How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 2141 155 0 No 321 1 Yes 1820 Sysmiss 155 source of organic fertilizer:Purchased How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 2141 155 0 No 1938 1 Yes 203 Sysmiss 155 source of organic fertilizer:Received for free How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 2141 155 0 No 1994 1 Yes 147 Sysmiss 155 source of organic fertilizer:Animals on plot overnight How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 2141 155 0 No 2135 1 Yes 6 Sysmiss 155 source of organic fertilizer:Other (specify) How did you obtain the [ORGANIC FERTILIZER] used on this [PLOT NAME]? 2141 155 0 No 2141 1 Yes 0 Sysmiss 155 OTHER source of organic fertilizer OTHER way you obatined [ORGANIC FERTILIZER] used on this [PLOT NAME]? 0 0 Quantity of organic fertilizer that was bought How much of the [ORGANIC FERTILIZER] applied to [PLOT NAME] was purchased? 203 2093 0.5 500 10.084 40.047 unit of measure for organic fertilizer bought Unit of measure of the [ORGANIC FERTILIZER] that was bought 203 2093 1 Litre 9 2 Kilogram (Kg) 2 3 Basin 9 4 Wheel barrow 7 5 Sack (50 kg) 5 6 Sack (100 kg) 79 7 Pickup truck 30 8 Truck Elf 61 99 Other (Specify) 1 Sysmiss 2093 OTHER unit of measure for [ORGANIC FERTILIZER] 1 0 bundles 1 unit price of the organic fertilizer bought What was the cost in SHS of one [ORGANIC FERTILIZER UNIT] of [ORGANIC FERTILIZER] purchased for this [PLOT NAME]? 203 2093 100 500000 52003.079 68248.889 Household Id 1152 0 H00064780D 1 H00069840D 1 H00168560D 1 H00180584D 2 H00194092D 1 H00215154D 1 H00295255D 1 H00830101D 1 H01008926D 1 H01160335D 1 H01221055D 1 H01259793D 1 H01306611D 1 H01551102D 1 H01673552D 2 H01697441D 1 H01797206D 1 H01816930D 1 H02178029D 2 H02244627D 1 H02341577D 1 H02402124D 1 H02665046D 1 H02680628D 1 H02752255D 1 H02984101D 1 H03068850D 1 H03094685D 1 H03097530D 1 H03176671D 1 H03220335D 1 H03274184D 1 H03370859D 2 H03390879D 2 H03408405D 2 H03413175D 1 H03490726D 1 H03592951D 1 H03783886D 1 H03844478D 1 H03845469D 1 H03928549D 1 H03929373D 1 H04508610D 1 H04606721D 1 H05015277D 1 H05029737D 2 H05034203D 1 H05427604D 1 H05556264D 1 H05764790D 1 H05838153D 1 H05850421D 1 H05892232D 2 H05969134D 1 H05969322D 1 H06148954D 1 H06216819D 2 H06568871D 1 H06660268D 1 H06662173D 1 H06671936D 1 H06886852D 1 H06915680D 1 H06953570D 1 H06957285D 2 H06969850D 2 H07215768D 1 H07473381D 2 H07622792D 1 H07677987D 2 H07865185D 1 H08002601D 1 H08463075D 1 H09079830D 2 H09312535D 1 H09652583D 1 H09899079D 1 H09922881D 1 H10069764D 1 H10121267D 2 H10428105D 1 H10577392D 1 H10932434D 1 H10973459D 1 H11081163D 1 H11337467D 1 H11392584D 2 H11484532D 2 H11598781D 1 H11737118D 1 H11899623D 1 H12162103D 1 H12373462D 1 H12382467D 2 H12416912D 2 H12485274D 1 H12683374D 1 H12748575D 1 H12963930D 1 H13006760D 1 H13471834D 1 H13655463D 1 H13740009D 1 H13750720D 2 H13789636D 1 H13817827D 1 H13999173D 1 H14025640D 1 H14064999D 1 H14192634D 1 H14230211D 2 H14277381D 1 H14427763D 1 H14498024D 1 H14614026D 2 H14631001D 1 H14644593D 1 H14744790D 1 H14840370D 1 H15173711D 1 H15270550D 1 H15355509D 2 H15463272D 1 H15477476D 1 H15518082D 2 H15652763D 1 H15739733D 1 H15896519D 1 H15912969D 1 H16102538D 1 H16138230D 1 H16178097D 1 H16274237D 1 H16304934D 2 H16549390D 1 H16777893D 1 H17005203D 2 H17190460D 1 H17234634D 2 H17266791D 1 H17279837D 2 H17403344D 1 H17435584D 1 H17535535D 1 H17563188D 2 H17606026D 1 H17619776D 2 H17657722D 1 H17757784D 1 H17802638D 1 H18186993D 1 H18221348D 1 H18235826D 1 H18353606D 1 H18372280D 1 H18617100D 1 H18631630D 1 H18655743D 1 H18711224D 2 H18750707D 1 H18926958D 1 H18935831D 1 H18992957D 1 H19179605D 2 H19222480D 1 H19250861D 1 H19263229D 1 H19320081D 1 H19337887D 1 H19416680D 1 H19437955D 1 H19612851D 1 H19859895D 1 H19885635D 1 H20034868D 1 H20100815D 1 H20111634D 1 H20244863D 1 H20376755D 2 H20611258D 1 H20910670D 1 H21048235D 1 H21593851D 1 H21615972D 2 H21866164D 2 H21925341D 1 H22067637D 2 H22172886D 2 H22320687D 1 H22365215D 1 H22494956D 2 H22499140D 1 H22598515D 1 H22647588D 1 H22689102D 1 H22779461D 1 H22794137D 1 H22967929D 1 H22988022D 1 H23086165D 1 H23250215D 1 H23418422D 1 H23426971D 1 H23496830D 1 H23606526D 1 H23635523D 1 H23752603D 1 H23772359D 2 H23993263D 1 H24039724D 1 H24070466D 1 H24273168D 1 H24373556D 1 H24385704D 1 H24475693D 1 H24555200D 2 H24564620D 1 H24803931D 1 H24826595D 1 H24901547D 1 H25197679D 1 H25232205D 1 H25362136D 1 H25475527D 1 H25494121D 1 H25552511D 1 H25710169D 1 H25760282D 1 H25787942D 2 H25947992D 1 H26010251D 1 H26116168D 1 H26154865D 1 H26231719D 1 H26345019D 1 H26356320D 1 H26518255D 2 H26521466D 1 H26565482D 1 H26686651D 1 H26834984D 1 H26895667D 1 H27364185D 1 H27387143D 1 H27458951D 1 H27577657D 1 H27638391D 2 H27675632D 2 H27696258D 2 H27863912D 1 H27952267D 1 H27960735D 1 H28020306D 1 H28105634D 1 H28145663D 2 H28188646D 2 H28276884D 1 H28289341D 1 H28304850D 1 H28612728D 1 H28706708D 1 H29066414D 1 H29096705D 2 H29176016D 1 H29176116D 1 H29311451D 1 H29333651D 1 H29414639D 1 H29489517D 1 H29686622D 1 H29702399D 1 H29817227D 1 H29817925D 1 H30109832D 2 H30149026D 2 H30592746D 1 H30797157D 1 H30935025D 1 H31007563D 1 H31021349D 1 H31095922D 1 H31179410D 1 H31190896D 1 H31322872D 1 H31479794D 2 H31666387D 1 H31672201D 1 H31773299D 1 H31839649D 1 H32121956D 2 H32188806D 1 H32333220D 1 H32377177D 1 H32384322D 1 H32497771D 1 H32942769D 1 H33002592D 1 H33091778D 1 H33296609D 2 H33306594D 2 H33486009D 1 H33539479D 1 H33617840D 1 H33806670D 1 H33818030D 2 H33890659D 1 H33924898D 1 H34165458D 1 H34281561D 1 H34628710D 1 H34946866D 1 H34963943D 1 H35059731D 1 H35070152D 1 H35259199D 1 H35285929D 1 H35357627D 1 H35408907D 2 H35476907D 2 H35638944D 2 H35714909D 1 H35930770D 2 H35980330D 2 H35987580D 1 H36106205D 1 H36181891D 1 H36233200D 1 H36325103D 1 H36439650D 2 H36522795D 2 H36676362D 1 H36994444D 2 H37015805D 1 H37018436D 1 H37228732D 1 H37276717D 1 H37424682D 1 H37612670D 1 H37624659D 1 H37640914D 1 H37708519D 1 H37732136D 2 H38007670D 1 H38117793D 1 H38268539D 1 H38295616D 1 H38587151D 1 H38862438D 1 H38862534D 1 H38987100D 1 H38993980D 2 H39083040D 1 H39146801D 1 H39208702D 1 H39229842D 1 H39242480D 1 H39432566D 1 H39442222D 1 H39632792D 1 H39677636D 1 H39707462D 1 H39775600D 1 H39871961D 2 H40037368D 2 H40098554D 1 H40382810D 1 H40417002D 1 H40544640D 1 H40730033D 1 H41165980D 1 H41170556D 1 H41243434D 1 H41420729D 1 H41463001D 2 H41472731D 1 H41788356D 1 H41833085D 1 H41849857D 1 H41920594D 1 H41974558D 2 H42024019D 1 H42043750D 1 H42074107D 1 H42095117D 1 H42100361D 1 H42118200D 1 H42126200D 2 H42249291D 2 H42328485D 1 H42516877D 1 H42801950D 1 H42996293D 1 H43212698D 1 H43376768D 1 H43513737D 1 H43565702D 1 H43666875D 1 H43795771D 1 H43805811D 1 H43855904D 1 H43874630D 2 H44013790D 1 H44078558D 2 H44130739D 1 H44215984D 1 H44234059D 1 H44291356D 1 H44336256D 1 H44360733D 1 H44401262D 1 H44478549D 1 H44580293D 1 H44732831D 1 H44760962D 1 H44965335D 1 H44978218D 1 H45063986D 1 H45139343D 1 H45192042D 1 H45396704D 2 H45551988D 1 H45585867D 1 H45595415D 1 H45676296D 1 H45728174D 1 H45770310D 1 H45780187D 1 H45790586D 1 H45882101D 1 H46000352D 1 H46118669D 2 H46283214D 1 H46733649D 1 H46737676D 1 H46758264D 1 H46792143D 1 H46875748D 1 H46954843D 1 H46962763D 1 H46973414D 1 H47206300D 1 H47234943D 1 H47356873D 1 H47357594D 2 H47377364D 1 H47434451D 1 H47494051D 1 H47528726D 1 H47585648D 2 H47757629D 1 H47854979D 2 H48032018D 1 H48053643D 1 H48056838D 1 H48071797D 1 H48176560D 1 H48425899D 1 H48480241D 1 H48523602D 1 H48529893D 1 H48622538D 1 H48783171D 1 H48813992D 1 H48834962D 1 H48867585D 1 H48911330D 1 H49138935D 1 H49206556D 1 H49468804D 1 H49590993D 1 H49704353D 1 H49771611D 2 H49926847D 2 H49942001D 2 H50183197D 1 H50235615D 1 H50343585D 1 H50485903D 1 H50523135D 2 H50928434D 1 H50964541D 1 H51052863D 1 H51054446D 1 H51145342D 1 H51224928D 1 H51338654D 1 H51391929D 1 H51424227D 1 H51568081D 2 H51602517D 1 H51714845D 2 H51806520D 1 H51812107D 2 H52047691D 1 H52165921D 1 H52251192D 1 H52523391D 1 H52544304D 1 H52602727D 2 H52649372D 2 H52670043D 1 H52849346D 1 H52904667D 1 H52908273D 1 H52972655D 1 H52990974D 1 H53090738D 1 H53158936D 1 H53349926D 2 H53552674D 2 H53579748D 1 H53627150D 1 H53906928D 1 H53976504D 2 H54039856D 1 H54099014D 2 H54123596D 1 H54465549D 1 H54552213D 1 H54925099D 1 H54937701D 1 H55003889D 1 H55381415D 1 H55573136D 2 H55624158D 1 H55788771D 1 H55795657D 2 H55922134D 1 H55974750D 1 H55998970D 1 H56045708D 1 H56278296D 1 H56386914D 1 H56417150D 1 H56584387D 1 H56630491D 1 H56671737D 1 H56792872D 2 H56840350D 1 H56849505D 1 H56851551D 1 H57002781D 1 H57036499D 1 H57046920D 1 H57067254D 1 H57073993D 1 H57160149D 1 H57177485D 1 H57208141D 1 H57256358D 1 H57401395D 2 H57500547D 1 H57546868D 2 H57658435D 1 H57665872D 1 H57817198D 1 H57976979D 1 H58006507D 1 H58054615D 1 H58156339D 1 H58309667D 2 H58398837D 1 H58583589D 1 H58594553D 1 H58644258D 2 H58669000D 1 H58759730D 1 H58853599D 1 H58951646D 1 H58955000D 1 H59005918D 2 H59034965D 2 H59049856D 2 H59321476D 2 H59346173D 1 H59538909D 2 H59563403D 1 H59781440D 1 H59835098D 1 H60100541D 1 H60194576D 1 H60294662D 1 H60321804D 1 H60411037D 1 H60681297D 1 H60879208D 1 H60931079D 1 H61472911D 1 H61505776D 1 H61512668D 1 H61837068D 1 H62027668D 2 H62040946D 1 H62107243D 1 H62191883D 2 H62225916D 1 H62400849D 1 H62414378D 1 H62546273D 2 H62556276D 1 H62584263D 1 H62631217D 2 H62659263D 1 H63029535D 1 H63568936D 1 H63650039D 1 H63930696D 1 H64083466D 1 H64200369D 1 H64212620D 1 H64378604D 1 H64612272D 1 H64670015D 1 H64803526D 1 H64941747D 1 H65022154D 1 H65022910D 1 H65055266D 1 H65079056D 1 H65125858D 1 H65182412D 1 H65356568D 1 H65388175D 1 H65415743D 1 H65508137D 2 H65598183D 1 H65718770D 2 H65720032D 1 H65770567D 1 H65784101D 1 H66040291D 1 H66115120D 1 H66118629D 1 H66227444D 1 H66351378D 1 H66396894D 1 H66400306D 1 H66509114D 1 H66766480D 1 H66877271D 1 H67254748D 1 H67355956D 1 H67399640D 1 H67465902D 1 H67513528D 1 H67659684D 2 H67705658D 2 H67726622D 1 H67771227D 1 H67919416D 1 H67994671D 1 H68123092D 1 H68421164D 1 H68482760D 1 H68518014D 2 H68569721D 1 H68580344D 1 H68591981D 1 H68597079D 2 H68608862D 2 H68722618D 1 H68997134D 1 H69206557D 1 H69332284D 1 H69461239D 1 H69515124D 1 H69735633D 1 H69908052D 1 H69936668D 2 H70119221D 1 H70326252D 1 H70340615D 1 H70399240D 1 H70443915D 2 H70719891D 1 H70974630D 1 H71261601D 1 H71349375D 1 H71454799D 1 H71557791D 1 H72055951D 2 H72079491D 2 H72211109D 1 H72253969D 2 H72312227D 1 H72325030D 1 H72502882D 2 H72515826D 1 H72637816D 2 H72678304D 1 H72721913D 1 H72743854D 1 H72883662D 2 H73151564D 1 H73205818D 1 H73634615D 1 H73676880D 1 H73739891D 1 H73769973D 2 H73861173D 2 H73878453D 2 H74137707D 1 H74291755D 2 H74362834D 2 H74376627D 1 H74450911D 2 H74477135D 1 H74478768D 1 H74534346D 1 H74550580D 2 H74613299D 2 H74624834D 1 H74763268D 1 H74930271D 1 H74979578D 1 H75009156D 1 H75214158D 1 H75238120D 1 H75351361D 2 H75744376D 1 H75818999D 1 H75822653D 1 H75987073D 1 H76013254D 2 H76144732D 1 H76175939D 2 H76297114D 2 H76325230D 1 H76975335D 1 H76995801D 2 H77022453D 1 H77127869D 1 H77419909D 1 H77435596D 2 H77616263D 1 H77833804D 2 H77835852D 1 H77983845D 1 H78200535D 2 H78221833D 1 H78272059D 3 H78317077D 1 H78372335D 1 H78372350D 1 H78418668D 1 H78442505D 1 H78507432D 1 H78524770D 1 H78621304D 2 H78711893D 1 H78742707D 2 H78850915D 1 H79050713D 1 H79060124D 1 H79143582D 1 H79164290D 2 H79175585D 1 H79254442D 1 H79301459D 2 H79402959D 1 H79481264D 1 H79488119D 1 H79505220D 1 H79516675D 1 H79658800D 1 H79947119D 1 H79970458D 1 H79989041D 1 H80024712D 1 H80120603D 1 H80151917D 1 H80285193D 2 H80290004D 1 H80305060D 1 H80342789D 1 H80372979D 1 H80387259D 1 H80390868D 2 H80417361D 1 H80439920D 2 H80683315D 2 H80691093D 2 H80788108D 1 H80795146D 2 H80861190D 2 H80940117D 1 H81011430D 2 H81048500D 1 H81094268D 1 H81202151D 1 H81339281D 2 H81467730D 1 H81632237D 1 H81681985D 1 H81695500D 1 H81726785D 1 H81794193D 1 H81899208D 2 H82025083D 2 H82246627D 1 H82334594D 1 H82461092D 1 H82492997D 1 H82505936D 1 H82696571D 1 H82730798D 1 H82865781D 1 H82917008D 1 H82984129D 1 H83031184D 1 H83115467D 2 H83243029D 1 H83485932D 1 H83571247D 1 H83571706D 2 H83618048D 1 H83638329D 2 H83885432D 1 H84050122D 2 H84052960D 2 H84145694D 1 H84168100D 1 H84408539D 2 H84448596D 2 H84827169D 2 H85009815D 1 H85033845D 1 H85040468D 1 H85187019D 2 H85226747D 1 H85371177D 2 H85381075D 1 H86008133D 2 H86116361D 1 H86145103D 1 H86382778D 1 H86619146D 1 H86698166D 1 H86786529D 1 H86922925D 1 H87026032D 1 H87063562D 1 H87257847D 1 H87259492D 2 H87282889D 1 H87436493D 2 H87633790D 1 H87783091D 1 H87789310D 1 H88262682D 1 H88307274D 1 H88496511D 1 H88608349D 1 H88679541D 2 H88694487D 1 H88736366D 1 H88876625D 1 H89043975D 2 H89206299D 1 H89398709D 1 H89557829D 2 H89672879D 3 H89758710D 1 H90263769D 2 H90443311D 1 H90711202D 1 H90739701D 2 H90746570D 1 H90778948D 1 H90795323D 1 H90881282D 1 H91110140D 1 H91125191D 1 H91175234D 2 H91291159D 1 H91325860D 1 H91679211D 1 H91803492D 1 H92072732D 1 H92213437D 1 H92213849D 1 H92248035D 1 H92384278D 1 H92474551D 1 H92762109D 2 H92969166D 1 H93096991D 1 H93131496D 2 H93181027D 1 H93312198D 1 H93331807D 1 H93378941D 2 H93457045D 2 H93511759D 1 H93540582D 1 H93617541D 1 H93665084D 2 H93703235D 2 H93806631D 1 H93814549D 1 H93881189D 1 H94008455D 1 H94068998D 1 H94154965D 2 H94197025D 1 H94235066D 1 H94237489D 1 H94421934D 2 H94458721D 1 H94514076D 1 H94516720D 2 H94522015D 1 H94529098D 2 H94618597D 2 H94792000D 1 H94811371D 1 H94896482D 1 H95055265D 1 H95169189D 1 H95436441D 1 H95471960D 2 H95822408D 1 H95976174D 1 H96239865D 1 H96384675D 1 H96400584D 1 H96481047D 1 H96487106D 1 H96655501D 1 H96754687D 1 H96806914D 1 H96919725D 1 H96963625D 2 H96968996D 1 H97096959D 1 H97452986D 1 H97741800D 1 H97819672D 1 H97908032D 1 H97959813D 1 H98332927D 1 H98380348D 1 H98452755D 1 H98548337D 1 H98617791D 2 H98629811D 1 H98641149D 2 H98840868D 1 H98966915D 1 H99094691D 1 H99107429D 1 H99119917D 1 H99243538D 2 H99578038D 1 H99684347D 1 H99718125D 1 H99902447D 2 H99995466D 1 enumeration Area code 1152 0 10101 42905 27095.417 11869.445 Calibrated weight 1152 0 162.017 3444.184 999.643 436.727 Region Name 1152 0 1 Central Region 242 2 Eastern Region 439 3 Northern Region 50 4 Western Region 421 Sub-Region 1152 0 1 South Buganda 95 2 North Buganda 147 3 West Nile 9 4 Lango 1 5 Acholi 21 6 Kigezi 132 7 Bunyoro 5 8 Tooro 12 9 Busoga 24 10 Teso 171 11 Bukedi 27 12 Elgon 217 13 Karamoja 19 14 Ankole 272 Zardi 1152 0 1 Abi 9 2 Buginyanya 268 3 Bulindi 5 4 Kachwekano 132 5 Mukono 221 6 Ngetta 22 7 Nubin 19 8 Serere 171 9 Mbarara 293 10 Rwebitaba 12 Id in OTHER_ANIMAL_PDCTS 1152 0 405 Wet skins and hides 19 406 Dry skins and hides 7 407 Honey 22 408 Animal dung 749 409 Animal urine 3 410 Bird droppings 264 411 Manure 87 412 Horns 1 419 Other (Specify) 0 Q02: # of months in which item was produced During the last 12 months, for how many months did your household produce [PRODUCT NAME]? 1152 0 1 43 2 42 3 55 4 35 5 92 6 164 7 48 8 40 9 8 10 17 11 5 12 603 Q03: average production per month: quantity During these [NUMBER OF MONTHS], what was the average quantity of [PRODUCT NAME] produced PER MONTH? 1152 0 1 300 5.063 13.833 Q04: average production per month: unit of quantity What was the unit of the quantity for [PRODUCT NAME] production per month? 1152 0 1 Number/Count 26 2 Kilogram 103 3 Litre 22 4 Wheel barrow 367 5 Pickup truck 12 7 Truck Elf 21 11 Sack (120 kgs) 26 12 Sack (100 kgs) 174 13 Sack (80 kgs) 3 14 Sack (50 kgs) 26 15 Basin 371 99 Other (Specify) 1 Q05: average quantity used by household 1152 0 0 200 3.593 8.256 Q06: average consumption per month: unit of quantity What was the unit of the quantity for [PRODUCT NAME] production per month? 1152 0 1 Number/Count 36 2 Kilogram 104 3 Litre 22 4 Wheel barrow 369 5 Pickup truck 10 7 Truck Elf 17 11 Sack (120 kgs) 21 12 Sack (100 kgs) 163 13 Sack (80 kgs) 6 14 Sack (50 kgs) 34 15 Basin 331 99 Other (Specify) 39 Q06b: OTHER unit of quantity measure for animal products OTHER unit of quantity animal products 372 0 Basin 127 Basins 8 Kgs 1 None 14 Not used 23 basin 182 basins 5 kilograms 1 none 2 plastic bansin 1 plastic basin 7 plastic basins 1 Q07: If household made any sales Did the household sell any [PRODUCT NAME] that it produced in the last 12 months? 1152 0 1 Yes 45 2 No 1107 45 1107 1 300 30.467 65.35 Q09: sales unit of quantity What was the unit of quantity for the sales of [PRODUCT NAME]? 45 1107 1 Number/Count 3 2 Kilogram 2 3 Litre 13 4 Wheel barrow 5 5 Pickup truck 3 7 Elf Truck 8 8 Forward Truck 0 9 Fuso Truck 0 11 Sack (120 kgs) 1 12 Sack (100 kgs) 9 13 Sack (80 kgs) 0 14 Sack (50 kgs) 0 15 Basin 1 99 Other (Specify) 0 Sysmiss 1107 Q10: value of sales in shillings 45 1107 3000 1800000 244877.778 445475.323 Q11: Household members who keep/decide the use of earnings 45 1107 1 42 2 3 Sysmiss 1107 Q11: Household members who keep/decide the use of earningss 18 1134 2 18 Sysmiss 1134 Q11: Household members who keep/decide the use of earnings 0 1152 Sysmiss 1152 Q11: Household members who keep/decide the use of earnings 0 1152 Sysmiss 1152 Q11: Household members who keep/decide the use of earnings 0 1152 Sysmiss 1152 Q12: other expenses Did you incur any expenses, such as labor costs, additional inputs, transport, etc. in the production of [PRODUCT NAME] in the last 12 months? 1152 0 1 Yes 19 2 No 1131 3 Don't know 2 Q13: total expenses in shillings What was the total value in SHS of these additional expenses in SHS? 19 1133 100 800000 68794.737 179643.692 Household Id 6071 0 enumeration Area code 6071 0 10101 42906 29494.791 9562.204 Calibrated weight 6071 0 162.017 5054.672 982.287 447.299 Region Name 6071 0 1 Central Region 576 2 Eastern Region 1752 3 Northern Region 2025 4 Western Region 1718 Sub-Region 6071 0 1 South Buganda 283 2 North Buganda 293 3 West Nile 501 4 Lango 573 5 Acholi 499 6 Kigezi 266 7 Bunyoro 386 8 Tooro 579 9 Busoga 292 10 Teso 802 11 Bukedi 382 12 Elgon 276 13 Karamoja 452 14 Ankole 487 Zardi 6071 0 1 Abi 501 2 Buginyanya 950 3 Bulindi 386 4 Kachwekano 266 5 Mukono 473 6 Ngetta 1072 7 Nubin 452 8 Serere 802 9 Mbarara 590 10 Rwebitaba 579 Id in SHOCKS 6071 0 1 Floods 579 2 Drought 2196 3 Hailstorms 120 4 Pests or disease outbreak 1206 5 Erratic or heavy rains 1160 6 Insecurity 238 7 Illness or disease in the household 518 9 Other shock (specify) 54 Q03: how shock affected/damaged crop or livestock production What was the extent of damage of [SHOCK] on crop or livestock production? 6071 0 1 None 13 2 Slight 966 3 Moderate 2589 4 Severe 2503 Q04: response to shock What was the main response of the household to [SHOCK]? 6071 0 1 Sold land and/or buildings 5 2 Sold crops and/or livestock 384 3 Sold holding's other assets e.g. machinery and equipment 10 4 Found other work, not on the holding 891 5 Received help from Government 98 6 Received help from NGOs or other organizations 66 7 Received help from relatives 466 8 Reduced expenses for the holding (labour costs, capital costs, etc.) 18 9 Reduced expenses for the household (on health, education, etc.) 11 10 Borrowed money/got a loan 112 11 Did nothing 3938 99 Other (Specify) 72 Household Id 603 0 H00298003D 1 H00460051D 1 H00643571D 1 H01040649D 1 H01306611D 1 H01709932D 1 H02503895D 1 H03359826D 1 H03539366D 1 H03684592D 1 H03696742D 1 H03844478D 1 H03893470D 1 H03929373D 1 H03984121D 1 H04390203D 1 H04632915D 1 H04741842D 1 H05107807D 2 H05694135D 1 H06375781D 1 H06480716D 1 H06686586D 1 H06847995D 1 H06915680D 1 H07179411D 1 H07426418D 1 H07473381D 1 H07679525D 1 H07880262D 1 H08301176D 1 H08605340D 1 H08726427D 1 H09267407D 1 H09275317D 1 H09285640D 1 H09859423D 1 H09899079D 1 H10121267D 1 H10330241D 1 H10338224D 1 H10368939D 1 H10479982D 1 H10875139D 1 H10932434D 1 H11129197D 1 H11741395D 1 H11889394D 1 H12274382D 1 H12480466D 1 H12559023D 1 H12808719D 1 H12838748D 1 H13133736D 1 H13251906D 1 H13284815D 1 H13672845D 1 H13912292D 1 H13984780D 1 H13989794D 1 H14012885D 1 H14132638D 1 H14504502D 1 H15109468D 1 H15481555D 1 H15739733D 1 H15982935D 1 H16057105D 1 H16134674D 1 H16141206D 1 H16268048D 1 H16301826D 1 H16466213D 1 H16524711D 1 H16576984D 1 H17138970D 1 H17170274D 1 H17231420D 1 H17266791D 1 H17430645D 1 H17448588D 1 H17909159D 1 H17925489D 1 H18110417D 1 H18221348D 1 H18617100D 1 H19285411D 1 H19437955D 1 H19488046D 1 H20176085D 1 H20376755D 1 H20675959D 1 H20910670D 1 H21004237D 1 H21167594D 1 H21193934D 1 H21432502D 1 H21802168D 1 H22100968D 1 H22172886D 1 H22303223D 1 H22534210D 1 H22647588D 1 H22689170D 1 H22697073D 1 H22768739D 1 H22794137D 1 H23141678D 1 H23189982D 1 H23199091D 1 H23426971D 1 H23786392D 1 H24070466D 1 H24317604D 1 H24598417D 1 H24901547D 1 H25319052D 1 H25494552D 1 H25591823D 1 H25710169D 1 H25929120D 1 H26038000D 1 H26197346D 1 H26245618D 1 H26350225D 1 H26479067D 1 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H61674732D 1 H62365889D 1 H62759808D 1 H62923909D 1 H62938457D 1 H62953601D 1 H63254839D 1 H63379003D 1 H63480369D 1 H63711649D 1 H63746293D 1 H63773833D 1 H63821403D 1 H63928275D 1 H63984464D 1 H64083466D 1 H64389947D 1 H64702038D 1 H64723706D 1 H64803526D 1 H64803713D 1 H64804215D 1 H65022910D 1 H65182412D 1 H65211129D 1 H65560716D 1 H65643562D 1 H65985247D 2 H66120149D 1 H66293427D 1 H66351378D 1 H66560937D 1 H66800303D 1 H66952103D 1 H67235001D 1 H67330373D 1 H67335009D 1 H67420967D 1 H67465902D 1 H67513528D 1 H67612657D 1 H67839091D 1 H68072845D 1 H68327014D 1 H68802754D 1 H69076107D 1 H69123729D 1 H69347578D 1 H69852517D 1 H70058620D 1 H70719891D 1 H70913089D 1 H71261601D 1 H71437103D 1 H71947466D 1 H71954457D 1 H72325030D 1 H72450467D 1 H72597754D 2 H72788984D 1 H72885008D 1 H72932918D 1 H73101714D 1 H73166893D 1 H73292693D 1 H73409127D 1 H73478771D 1 H73739858D 1 H73739891D 1 H73861173D 1 H73878453D 1 H74208316D 1 H74291755D 1 H74338497D 1 H74537877D 1 H74949381D 1 H75346305D 1 H75499730D 1 H75631675D 1 H75662831D 1 H75696710D 1 H75744376D 1 H75930086D 1 H75943686D 1 H75987654D 1 H76049160D 1 H76238377D 1 H76297114D 1 H76774969D 1 H76830136D 1 H76932478D 1 H76995801D 1 H77009361D 1 H77184922D 1 H77282153D 1 H77419909D 1 H77461165D 1 H77512844D 1 H77523881D 1 H77637460D 1 H77677475D 1 H77706862D 1 H77738367D 1 H78221833D 1 H78240879D 1 H78278054D 1 H78337410D 1 H78372335D 1 H78386431D 1 H78423704D 1 H78850915D 1 H78924741D 1 H79127533D 1 H79164290D 2 H79388892D 1 H79401100D 1 H79563717D 1 H79688134D 1 H79716879D 1 H80050604D 1 H80292027D 1 H80342789D 1 H80403656D 1 H80409386D 1 H80492136D 1 H80512399D 1 H80571622D 1 H80608988D 1 H80658764D 1 H80723432D 1 H81066123D 1 H81414720D 1 H81505251D 1 H81560542D 1 H81677946D 1 H81682574D 1 H81928026D 1 H81963241D 1 H82284348D 1 H82394919D 1 H82516663D 1 H82574332D 1 H82676561D 1 H82901826D 1 H83106105D 1 H83205446D 1 H83210345D 1 H83343957D 1 H83666261D 1 H83729986D 1 H84002070D 1 H84242041D 1 H84300153D 1 H84358614D 1 H84459372D 1 H84678070D 1 H84879275D 1 H85339726D 1 H85983255D 1 H86032459D 1 H86145109D 1 H86359656D 1 H86365175D 1 H86569174D 1 H86737644D 1 H86738194D 1 H86821554D 1 H87063562D 1 H87476861D 1 H87482764D 1 H87587309D 1 H87884168D 1 H87896267D 1 H88019815D 1 H88050330D 1 H88170505D 1 H88331279D 1 H88369089D 1 H88490755D 1 H88510926D 1 H88569895D 1 H88679541D 1 H88971787D 1 H89313526D 1 H89379904D 1 H89469405D 1 H90027369D 1 H90146509D 1 H90247401D 1 H90326488D 1 H90711202D 2 H90756979D 1 H91143269D 1 H91175234D 1 H91190642D 1 H91367415D 1 H91584368D 1 H92427991D 1 H92598259D 1 H92598924D 1 H93051762D 1 H93181027D 1 H93312198D 1 H93699675D 1 H93715671D 1 H93881189D 1 H94516720D 1 H94737031D 1 H94824713D 1 H94895437D 1 H95948097D 1 H95976174D 1 H96277892D 1 H96414964D 1 H96810759D 1 H96857364D 1 H97583565D 1 H97651427D 1 H98003789D 1 H98045689D 1 H98152118D 1 H98177377D 1 H98198439D 1 H98226793D 1 H98803544D 1 H98808870D 2 H98891554D 1 H98974944D 1 H98981082D 1 H98981738D 1 H99094691D 1 H99412849D 1 H99413129D 1 H99489515D 1 H99587499D 1 H99723278D 1 H99786608D 1 H99852022D 1 H99984969D 1 enumeration Area code 603 0 10302 42906 30770.038 10287.239 Calibrated weight 603 0 162.017 3979.765 943.282 464.85 Region Name 603 0 1 Central Region 66 2 Eastern Region 139 3 Northern Region 165 4 Western Region 233 Sub region 603 0 1 South Buganda 32 2 North Buganda 34 3 West Nile 56 4 Lango 6 5 Acholi 79 6 Kigezi 87 7 Bunyoro 52 8 Tooro 51 9 Busoga 20 10 Teso 4 11 Bukedi 61 12 Elgon 54 13 Karamoja 24 14 Ankole 43 Zardi 603 0 1 Abi 56 2 Buginyanya 135 3 Kachwekano 0 4 Bulindi 52 5 Kachwekano 87 6 Mukono 53 7 Ngetta 85 8 Nubin 24 9 Serere 4 10 Mbarara 56 11 Rwebitaba 51 Id in sourceOfLoan Please list all the sources that provided a loan for agricultural purposes to you/your household between January 2019 and December 2019 603 0 1 Commercial Banks/Micro Finance Institutions 73 2 SACCO: Savings & Credit Cooperative Organizations 129 3 Money Lenders 12 4 Input suppliers 3 5 Self-help groups 300 6 Family and friends 57 7 Agricultural product processors 3 8 Agricultural production traders 8 9 Farmer Associations/Government Agency / Department 10 10 Non Government Organisations (NGOs) 5 11 Other (Specify) 3 Q03: three main loan purposes:Pay for agricultural labor 603 0 0 240 1 305 2 47 3 11 Q03: three main loan purposes:Purchase seeds 603 0 0 317 1 175 2 100 3 11 Q03: three main loan purposes:Buy fertilizers 603 0 0 521 1 23 2 34 3 25 Q03: three main loan purposes:Buy agro-chemicals 603 0 0 535 1 18 2 28 3 22 Q03: three main loan purposes:Buy farm implements and machinery 603 0 0 597 1 2 2 3 3 1 Q03: three main loan purposes:Set up an irrigation structure 603 0 0 601 2 2 Q03: three main loan purposes:Livestock 603 0 0 553 1 22 2 15 3 13 Q03: three main loan purposes:Aquaculture (fish farming) 603 0 0 603 Q03: three main loan purposes:Apiculture (bee keeping) 603 0 0 603 Q03: three main loan purposes:Trading agricultural produce 603 0 0 590 1 10 2 2 3 1 Q03: three main loan purposes:Fund land purchase 603 0 0 583 1 18 2 2 Q03: three main loan purposes:Repair agricultural Buildings 603 0 0 602 3 1 Q03: three main loan purposes:Draught power 603 0 0 588 1 3 2 6 3 6 Q03: three main loan purposes:Other (Specify) 603 0 0 569 1 26 2 7 3 1 Q04: loan period What was the duration of the loan received from [LOAN SOURCE]? 603 0 1 Less than 1 year 547 2 1 to 3 years 49 3 More than 3 years 7 Q05: loan amount What was the loan amount received from [LOAN SOURCE] between January 2019 and December 2019? 603 0 5000 12000000 472587.065 1121927.758 Q06: Household members receiving loans 578 25 1 415 2 153 3 2 4 3 5 2 6 2 11 1 Sysmiss 25 Q06: Household members receiving loans 79 524 2 78 3 1 Sysmiss 524 Q06: Household members receiving loans 0 603 Sysmiss 603 Q06: Household members receiving loans 0 603 Sysmiss 603 Q06: Household members receiving loans 0 603 Sysmiss 603 Q07: amount of loan repaid How much of the loan taken from [LOAN SOURCE] has been repaid between January 2019 and December 2019? 603 0 0 12000000 379686.07 839355.516 Household Id 9614 0 enumeration Area code 9614 0 10101 42906 28546.167 10614.272 Calibrated weight 9614 0 162.017 5054.672 1038.888 492.334 Region Name 9614 0 1 Central Region 1476 2 Eastern Region 2711 3 Northern Region 2501 4 Western Region 2926 Sub region 9614 0 1 South Buganda 675 2 North Buganda 801 3 West Nile 700 4 Lango 784 5 Acholi 609 6 Kigezi 500 7 Bunyoro 750 8 Tooro 884 9 Busoga 637 10 Teso 909 11 Bukedi 722 12 Elgon 443 13 Karamoja 408 14 Ankole 792 Zardi 9614 0 1 Abi 700 2 Buginyanya 1802 3 Kachwekano 0 4 Bulindi 750 5 Kachwekano 500 6 Mukono 1275 7 Ngetta 1393 8 Nubin 408 9 Serere 909 10 Mbarara 993 11 Rwebitaba 884 Id in transportType Did you or your household use any of the following means of transport for agricultural activities between January 2019 and December 2019? 9614 0 1 head loading / back loading 5484 2 car/pick up 209 3 lorry 53 4 tractor 24 5 motor cycle 1826 6 bicycle 1796 7 oxen/donkeys/mules 51 8 boat/ferry 5 9 wheelbarrow 166 Q02: how hh accessed transport 9614 0 1 Own 7405 2 Borrowed 469 3 Hired 1740 Household Id 10664 0 enumeration Area code 10664 0 10101 42906 28935.206 10776.733 Calibrated weight 10664 0 162.017 5054.672 1026.367 482.475 Region 10664 0 1 Central 1637 2 Eastern 2844 3 Northern 2685 4 Western 3498 sub region 10664 0 1 South Buganda 665 2 North Buganda 972 3 West Nile 874 4 Lango 816 5 Acholi 705 6 Kigezi 770 7 Bunyoro 865 8 Tooro 880 9 Busoga 778 10 Teso 744 11 Bukedi 658 12 Elgon 664 13 Karamoja 290 14 Ankole 983 Zardi 10664 0 1 Abi 874 2 Buginyanya 2100 3 Bulindi 865 4 Kachwekano 770 5 Mukono 1425 6 Ngetta 1521 7 Nubin 290 8 Serere 744 9 Mbarara 1195 10 Rwebitaba 880 agRoster__id 10658 6 1 Crop Growing 5743 2 Livestock/Poultry Rearing 4669 3 Aquaculture - Fish Farming 0 4 Apiculture - Bee Keeping 69 5 Agro-Forestry 177 Sysmiss 6 hh members who participated in enterprise 10664 0 1 Only males 664 2 Only females 1078 3 Mostly males 1498 4 Mostly females 2171 5 Men and women equally 5253 main purpose of the enterprise 10664 0 1 Only for sale 986 2 Mainly for sale with some own consumption 3711 3 Mainly for own consumption and some for sale 5043 4 Only for own consumption 924 Household has an agricultural enterprise 10664 0 0 No enterprise 0 1 Has enterprise 10664 Household Id 23479 0 enumeration Area code 23479 0 10101 42906 29532.432 11839.325 Calibrated weight 23479 0 227.697 5054.672 1046.131 469.888 Region 23479 0 1 Central 4515 2 Eastern 5298 3 Northern 3730 4 Western 9936 Sub region 0 23479 1 South Buganda 0 2 North Buganda 0 3 West Nile 0 4 Lango 0 5 Acholi 0 6 Kigezi 0 7 Bunyoro 0 8 Tooro 0 9 Busoga 0 10 Teso 0 11 Bukedi 0 12 Elgon 0 13 Karamoja 0 14 Ankole 0 Sysmiss 23479 Zardi 23479 0 1 Abi 1423 2 Buginyanya 3925 3 Kachwekano 0 4 Bulindi 2649 5 Kachwekano 1643 6 Mukono 3992 7 Ngetta 2283 8 Nubin 24 9 Serere 1373 10 Mbarara 3889 11 Rwebitaba 2278 Parcel ID PARCEL ID 23479 0 1 13742 2 5515 3 2467 4 1020 5 446 6 171 7 63 8 29 9 12 10 9 11 5 Plot ID PLOT ID 23479 0 1 9125 2 8482 3 3101 4 1483 5 721 6 314 7 136 8 61 9 36 10 14 11 2 12 2 13 2 Crop ID 23479 0 1 15858 2 5549 3 1546 4 414 5 110 6 1 7 1 Crop Name What crops are being grown (or will be grown) on [PLOT NAME] plot? 23479 0 112 Maize 3846 113 Rice 196 114 Sorghum 539 118 Millet 569 411 Soya Beans 495 421 Groundnuts 755 437 Simsim 497 511 Irish Potatoes 370 521 Sweet Potatoes 2214 531 Cassava 3998 711 Beans 3356 3121 Banana (Food) 3841 3122 Banana (Sweet) 391 3123 Banana (Beer) 293 6111 Coffee Arabica (old) 563 6112 Coffee Robusta (old) 1264 6113 Coffee Arabica (new) 69 6114 Coffee Robusta (clonal) 223 Percentage of plot area allocated to crop Approximately what percentage of the [PLOT NAME] plot area is cultivated (or will be cultivated) with [CROP NAME]? 23479 0 1 100 67.419 33.272 for parcel rented in, ask if crop was planted by holding Was/were [CROP NAME] planted or owned by you / your household, or by someone else outside this household (e.g. landlord)? 4129 19350 1 Yes, planted / owned by me or household 4032 2 No, planted / owned by someone else 97 Sysmiss 19350 Is crop already planted Has/Have [CROP NAME] already been planted? 15273 8206 1 Yes, crop has already been planted 15251 2 No, crop has not been planted yet 22 11 .A 6 Sysmiss 8200 In which month will you/your household plant crop on this plot? In which month will you/your household plant [CROP NAME] on this [PLOT NAME] plot? 22 23457 0 Don't Know 0 1 January 0 2 February 0 3 March 0 4 April 0 5 May 0 6 June 0 7 July 0 8 August 0 9 September 1 10 October 0 11 November 3 12 December 18 Sysmiss 23457 14 23465 1 Yes 14 2 No 0 Sysmiss 23465 Year when the crop was planted In which year was/were [CROP NAME] planted on this [PLOT NAME] plot? 23333 146 -98 Don't Know / Don't Recall 1600 1946 3 1947 1 1950 1 1952 5 1953 1 1954 3 1955 1 1957 2 1959 2 1960 13 1961 1 1962 5 1963 1 1964 2 1965 4 1967 1 1968 4 1969 10 1970 8 1971 5 1972 14 1973 8 1974 6 1975 8 1976 8 1977 8 1978 8 1979 8 1980 41 1981 13 1982 13 1983 10 1984 15 1985 26 1986 18 1987 22 1988 20 1989 32 1990 79 1991 20 1992 35 1993 16 1994 41 1995 42 1996 60 1997 46 1998 47 1999 77 2000 162 2001 59 2002 62 2003 79 2004 94 2005 104 2006 65 2007 81 2008 130 2009 150 2010 194 2011 131 2012 144 2013 176 2014 324 2015 374 2016 415 2017 559 2018 1186 2019 16430 Sysmiss 146 Month when crop was planted In which month was/were [CROP NAME] planted (or will be planted) on this [PLOT NAME] plot? 23332 147 0 Don't Remember/Don't Know 2819 1 January 92 2 February 434 3 March 1738 4 April 1755 5 May 759 6 June 679 7 July 2388 8 August 6207 9 September 4544 10 October 1168 11 November 549 12 December 200 Sysmiss 147 Did you use any seed/seedling in the current agricultural season for this crop? Did you use any seed/seedling in the current agricultural season for [CROP NAME] on this [PLOT NAME] plot? 23331 148 1 Yes 15057 2 No 8274 Sysmiss 148 Seed Type 15045 8434 1 Traditional seeds 14073 2 Improved seeds 904 3 Don't know 68 Sysmiss 8434 main source of seed What is the main source of the seed/seedling used for [CROP NAME] ON [PLOT NAME] plot? 15046 8433 1 Local retail shop/market/kiosk 2645 2 Input Supplier 442 3 Government (NAADS/Operation Wealth Creation) 225 4 Farmers group 16 5 Research center 18 6 Relative / Neighbour 1522 7 Other farmer(s) 1025 8 Non Government Organization (NGO) 38 9 Own farm/Garden 9115 Sysmiss 8433 Did you purchase any seed/seedlings for this crop? Did you purchase any seed/seedlings for this [CROP NAME] on this [PLOT NAME] plot? 15047 8432 1 Yes 3949 2 No 11098 Sysmiss 8432 Quantity of seeds planted (tonnes) How much of the quantity applied to [CROP NAME] on this [PLOT NAME] plot has been purchased? 10136 13343 0.0001 2.7 0.011 0.0504 Total quantity of seed purchased by AgHH Select the unit for the quantity of seeds purchased 3367 20112 0.0001 0.984 0.011 0.0281 Total cost of seed purchased by HH OPTION 2: What was the cost of one [UNIT OF MEASURE] of the purchased seeds/seedlings used for [CROP NAME] on this [PLOT NAME] plot, in SHS? 3949 19530 2 360000 8971.126 25089.379 Do you have to plant seeds every season? 23331 148 1 Yes 939 2 No 22392 11 .A 3 Sysmiss 145 In which year will [CROP NAME] be planted on this [PLOT NAME] plot? 40 23439 2018 2018 0 2019 2019 35 2020 2020 5 2021 2021 0 Sysmiss 23439 In which month do you expect to plant [CROP NAME] on this [PLOT NAME] plot? 40 23439 1 January 1 2 February 1 3 March 2 4 April 1 5 May 0 6 June 0 7 July 0 8 August 0 9 September 0 10 October 0 11 November 7 12 December 28 Sysmiss 23439 34597 0 enumeration Area code 34597 0 10101 42906 28786.391 10687.027 Calibrated weight 34597 0 162.017 5054.672 1019.513 492.195 Member ID 34597 0 1 6098 2 5828 3 5468 4 4814 5 3929 6 3014 7 2124 8 1381 9 880 10 515 11 292 12 161 13 93 Region 34597 0 1 Central 5165 2 Eastern 9751 3 Northern 8628 4 Western 11053 Sub region 34597 0 1 South Buganda 2270 2 North Buganda 2895 3 West Nile 2562 4 Lango 2200 5 Acholi 2417 6 Kigezi 2255 7 Bunyoro 2664 8 Tooro 2801 9 Busoga 2462 10 Teso 2630 11 Bukedi 2617 12 Elgon 2042 13 Karamoja 1449 14 Ankole 3333 Zardi 34597 0 1 Abi 2562 2 Buginyanya 7121 3 Kachwekano 0 4 Bulindi 2664 5 Kachwekano 2255 6 Mukono 4438 7 Ngetta 4617 8 Nubin 1449 9 Serere 2630 10 Mbarara 4060 11 Rwebitaba 2801 Link to Form 4 MEMBERS__id 22008 12589 1 23 4.001 2.57 101 .A 12589 sex of household member What is the sex of [NAME]? 34597 0 1 Male 17011 2 Female 17586 Relationship to Head What is [NAME]'s relationship to household head? 31586 3011 1 Head 5529 2 Spouse 4056 3 Son/Daughter/Step Child 17647 4 Parent 82 5 Other Relative 4077 6 Non-Relative 195 Sysmiss 3011 Age of household member in complete years How old is [NAME] in completed years? 34596 1 0 108 20.762 18.137 residential status What is the residential status of [NAME]? 34597 0 1 Usual Member 31826 2 Regular Member 2667 3 Guest 104 marital status What is [NAME]'s current marital status? 21578 13019 1 Married 8897 2 Divorced/ Separated 824 3 Widowed 999 4 Never been married 10858 Sysmiss 13019 educational attainment 29136 5461 1 Nursery or never been to school 6559 2 Did not complete Primary One (P1) 722 3 Primary 16615 4 Junior/Senior 4090 5 Certificate /Training (Vocational or Literacy 668 6 Diploma/Degree/Post Graduate 477 7 Don't Know 5 8 Other (Specify) 0 Sysmiss 5461 ability to read and write Can [NAME] read and write in any language? 23342 11255 1 Yes 15956 2 No 7386 Sysmiss 11255 Main economic activity in the last 12 months What was [NAME]'s main economic activity in the last 12 months? 21698 12899 1 Crop Production 10308 2 Livestock Production 251 3 Other agricultural activities 47 4 Horticulture 0 5 Trader 462 6 Artisan - worker in a skilled trade 176 7 Agricultural paid job outside the holding 103 8 Non-agricultural paid job 1396 9 No activity - looking for work 141 10 No activity - not looking for work 427 11 Student 8123 12 Household work 264 Sysmiss 12899 Employment status in the main activity 14035 20562 1 Own Account Worker (independent) 9128 2 Employer 47 3 Salaried Worker 1026 4 Task Worker 799 5 Unpaid Family Member 2997 6 Trainee/Volunteer/Intern 33 7 Member of a Cooperative 5 9 Other (Specify) 0 Sysmiss 20562 if hh member belongs to a farmers’ group Does [NAME] belong to a farmers’ group? 17742 16855 1 Yes 1024 2 No 16718 Sysmiss 16855 Household Id 11675 0 enumeration Area code 11675 0 10101 42906 29696.578 10909.916 Calibrated weight 11675 0 162.017 5054.672 1017.002 468.378 Region 11675 0 1 Central 1713 2 Eastern 2905 3 Northern 2705 4 Western 4352 Sub region 11675 0 1 South Buganda 719 2 North Buganda 994 3 West Nile 1014 4 Lango 740 5 Acholi 873 6 Kigezi 1176 7 Bunyoro 821 8 Tooro 958 9 Busoga 707 10 Teso 662 11 Bukedi 778 12 Elgon 758 13 Karamoja 78 14 Ankole 1397 Zardi 11675 0 1 Abi 1014 2 Buginyanya 2243 3 Kachwekano 0 4 Bulindi 821 5 Kachwekano 1176 6 Mukono 1482 7 Ngetta 1613 8 Nubin 78 9 Serere 662 10 Mbarara 1628 11 Rwebitaba 958 Parcel id PARCEL ID 11675 0 1 5244 2 3349 3 1719 4 786 5 327 6 150 7 60 8 22 9 8 10 6 11 3 12 1 Parcel Manager: 1 11670 5 1 10991 2 635 3 17 4 5 5 6 6 4 7 4 8 2 9 2 11 4 Sysmiss 5 Parcel Manager: 2 6063 5612 1 21 2 5921 3 73 4 27 5 9 6 6 7 1 8 2 10 1 11 1 12 1 Sysmiss 5612 Parcel Manager: 3 90 11585 2 4 3 57 4 16 5 3 6 6 8 1 9 2 10 1 Sysmiss 11585 if whole or part of parcel is freshly cleared i.e. was bush before this season Was the whole, or part, of [PARCEL NAME] a bush before this season? 11674 1 1 Yes, the whole parcel was bush before this season 328 2 Yes, a proportion of the parcel was bush before this season 328 3 No, the parcel was not bush before this season 11018 Sysmiss 1 What proportion of the parcel was bush before this season? 328 11347 10 10% 23 20 20% 38 25 One quarter 45 30 30% 32 40 40% 28 50 A half 56 60 60% 19 70 70% 25 75 Three quarters 26 80 80% 17 90 90% 19 Sysmiss 11347 What proportion of the bush has been cleared this season? What proportion of the bush has been cleared this season? 656 11019 0 0% 54 10 10% 76 20 20% 35 25 One quarter 31 30 30% 17 40 40% 13 50 A half 34 60 60% 9 70 70% 10 75 Three quarters 9 80 80% 21 90 90% 23 100 100% 324 Sysmiss 11019 Parcel Area based on farmer declaration (acres) 11675 0 0.005 1000 1.704 11.821 User rights of the household on the parcel What is the household's use-right on this [PARCEL NAME]? 11675 0 1 Owned 9016 2 Rented for an agreed amount of money 1622 3 Rented for share of produce 78 4 Rented in exchange for services 53 5 Borrowed for free 854 6 Just walked in 48 7 Leased in 4 9 Other (Specify) 0 how parcel was acquired How did your household acquire this [PARCEL NAME] parcel? 9899 1776 1 Purchased 3309 2 Inherited after the death of a family member 1060 3 Allocated by family 4982 4 Allocated by clan/traditional authority 280 5 Allocated from Local Government 51 6 Gift from non-household member 8 7 Other Government program 1 8 Squatting 58 9 Other (Specify) 2 10 Allocated By Institution 16 11 Allocated by a Non-household member 132 Sysmiss 1776 year of acquisition of parcel In what year was this [PARCEL NAME] acquired? 11675 0 -98 Don't Know / Don't Remember 604 1936 1 1939 1 1940 3 1941 1 1944 2 1945 5 1946 1 1948 1 1950 3 1952 2 1953 1 1954 10 1955 5 1956 4 1957 9 1958 6 1959 10 1960 49 1961 8 1962 24 1963 12 1964 19 1965 19 1966 8 1967 12 1968 34 1969 31 1970 52 1971 32 1972 50 1973 22 1974 38 1975 45 1976 30 1977 32 1978 38 1979 60 1980 155 1981 33 1982 86 1983 68 1984 77 1985 77 1986 138 1987 83 1988 82 1989 155 1990 173 1991 86 1992 107 1993 90 1994 145 1995 141 1996 171 1997 133 1998 168 1999 214 2000 413 2001 155 2002 176 2003 175 2004 227 2005 263 2006 193 2007 265 2008 277 2009 335 2010 316 2011 261 2012 300 2013 345 2014 507 2015 464 2016 651 2017 638 2018 855 2019 1193 Tenure system of the parcel What is the tenure system on the [PARCEL NAME]? 9918 1757 1 Freehold 1127 2 Leasehold 32 3 Mailo 1251 4 Customary 7099 5 Public land 211 6 Don't know 198 9 Other (Specify) 0 Sysmiss 1757 if hh has documentation 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? 11675 0 1 Yes 3481 2 No 7730 3 Don't know 464 Type of first official document for the parcel What type of document does your household have for this [PARCEL NAME]? 3481 8194 1 Title Deed 221 2 Certificate of Customary Ownership 44 3 Certificate of Occupancy 51 4 Certificate of Hereditary Acquisition 65 5 Written Sale Agreement 2906 6 Rental Contract 76 7 Lease Contract 8 8 Will 110 9 Other (Specify) 0 Sysmiss 8194 if first document was registered with the authorities Was this document issued by legal authorities or registered with legal authorities? 3481 8194 1 Yes 2834 2 No 626 3 Don't know 21 Sysmiss 8194 Is any household member listed on the official document 1? Is any household member listed on the document as the owner or use rights holder? 3481 8194 1 Yes 3114 2 No, extended family members appear on the document 236 3 No, neither household members, nor extended family members appear on document 115 98 Refused to tell 2 99 Don't Know 14 Sysmiss 8194 First name appearing on the official document 1 3106 8569 1 3021 2 78 3 2 4 1 5 2 11 2 Sysmiss 8569 Second name appearing on the official document 1 1057 10618 1 8 2 1038 3 7 4 1 6 1 7 1 12 1 Sysmiss 10618 Third name appearing on the official document 1 11 11664 3 7 4 3 5 1 Sysmiss 11664 Does a second official document exist for the parcel? Is there a second official document for [PARCEL NAME]? 3481 8194 1 Yes 48 2 No 3433 Sysmiss 8194 Type of second official document for the parcel What type of second document does your household have for [PARCEL NAME]? 48 11627 1 Title Deed 8 2 Certificate of Customary Ownership 0 3 Certificate of Occupancy 0 4 Certificate of Hereditary Acquisition 2 5 Written Sale Agreement 34 6 Rental Contract 0 7 Lease Contract 2 8 Will 2 9 Other (Specify) 0 Sysmiss 11627 if second document was registered with the authorities Was this document issued by legal authorities or registered with legal authorities? 48 11627 1 Yes 43 2 No 5 3 Don't know 0 Sysmiss 11627 Is any household member listed on the official document 2? Is any household member listed on the document as the owner or use rights holder? 48 11627 1 Yes 37 2 No, extended family members appear on the document 10 3 No, neither household members, nor extended family members appear on document 1 98 Refused to tell 0 99 Don't Know 0 Sysmiss 11627 First name appearing on the official document 2 37 11638 1 36 2 1 Sysmiss 11638 Second name appearing on the official document 2 14 11661 2 14 Sysmiss 11661 Third name appearing on the official document 2 2 11673 3 2 Sysmiss 11673 Can anyone in the HH sell the parcel? 9922 1753 1 Yes 6397 2 No 3525 Sysmiss 1753 Who can sell: 1 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 6394 5281 1 6245 2 134 3 5 4 1 5 1 6 3 9 1 11 4 Sysmiss 5281 Who can sell: 2 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 2711 8964 1 7 2 2663 3 18 4 7 5 6 6 2 7 2 8 3 11 1 12 2 Sysmiss 8964 Who can sell: 3 Who in this household can decide whether to sell [PARCEL NAME] either alone or with someone else? 26 11649 2 1 3 13 4 7 5 3 6 2 Sysmiss 11649 Can anyone in the HH use the parcel as collateral? Can anyone in the househod decide whether to use [PARCEL NAME] as a collateral either alone or with someone else? 9922 1753 1 Yes 6756 2 No 3166 Sysmiss 1753 Who can use as collateral: 1 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 6753 4922 1 6599 2 140 3 4 5 2 6 3 9 1 11 4 Sysmiss 4922 Who can use as collateral: 2 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 2934 8741 1 8 2 2884 3 22 4 6 5 2 6 2 7 3 8 3 11 1 12 3 Sysmiss 8741 Who can use as collateral: 3 Who in this household can decide whether to use [PARCEL NAME] as a collateral, either alone or with someone else? 24 11651 2 1 3 12 4 7 5 2 6 2 Sysmiss 11651 Can anyone in the HH bequeath the parcel? Can anyone in the household bequeath [PARCEL NAME]? 9922 1753 1 Yes 7307 2 No 2615 Sysmiss 1753 Who can bequeath: 1 7303 4372 1 6697 2 503 3 64 4 20 5 7 6 6 7 1 9 1 11 4 Sysmiss 4372 Who can bequeath: 2 2500 9175 1 9 2 2319 3 140 4 17 5 3 6 2 7 3 8 3 11 1 12 3 Sysmiss 9175 Who can bequeath: 3 93 11582 2 1 3 17 4 57 5 11 6 4 7 2 8 1 Sysmiss 11582 Parcel area (ha) What is the area of [PARCEL NAME] in acres, using GPS device? 11675 0 0 220.722 0.621 2.967 Household Id 24325 0 enumeration Area code 24325 0 10101 42906 29851.555 10750.687 Calibrated weight 24325 0 162.017 5054.672 1010.017 453.618 Region 24325 0 1 Central 3354 2 Eastern 6067 3 Northern 5956 4 Western 8948 Sub region 24325 0 1 South Buganda 1310 2 North Buganda 2044 3 West Nile 1778 4 Lango 2242 5 Acholi 1844 6 Kigezi 1863 7 Bunyoro 2405 8 Tooro 2100 9 Busoga 1419 10 Teso 2217 11 Bukedi 1301 12 Elgon 1130 13 Karamoja 92 14 Ankole 2580 Zardi 24325 0 1 Abi 1778 2 Buginyanya 3850 3 Kachwekano 0 4 Bulindi 2405 5 Kachwekano 1863 6 Mukono 2944 7 Ngetta 4086 8 Nubin 92 9 Serere 2217 10 Mbarara 2990 11 Rwebitaba 2100 Parcel ID PARCEL ID 24325 0 1 14743 2 5295 3 2468 4 1065 5 451 6 188 7 69 8 22 9 11 10 9 11 3 12 1 Plot ID PLOT ID 24325 0 1 11674 2 6421 3 2974 4 1616 5 850 6 427 7 194 8 90 9 46 10 20 11 7 12 3 13 2 14 1 What stands on the plot What stands on [PLOT NAME]? 24325 0 1 Pure stand 11499 2 Mixed stand 5920 3 INTENDED pure stand (not planted yet) 46 4 INTENDED mixed stand (not planted yet) 3 5 REPLANTED Pure Stand 20 6 REPLANTED Mixed Stand 1 7 Fallow 1268 8 Left bare after ploughing 219 9 Farm building or Home Dwelling 4830 10 Pond for aquaculture 2 11 Grazing land 390 12 Nurseries 5 13 Trees 87 14 Forests 21 99 Other (specify) 14 Purpose of the farm building What is the main purpose of the farm building/structure on this [PLOT NAME]? 4830 19495 1 Dwelling 4813 2 Storing produce 1 3 Keeping poultry 3 4 Keeping other livestock 13 5 Not in use 0 9 Other (Specify) 0 Sysmiss 19495 did hh operate the plot last season too Was this [PLOT NAME] cultivated during the previous season by the household or by another party? 17047 7278 1 Yes 16258 2 No 780 3 Don't know 9 11 .A 5 Sysmiss 7273 Whether the plot manager is a HH member Is the plot manager for [PLOT NAME] a member of this household? 17485 6840 1 Yes 17419 2 No 66 11 .A 4 Sysmiss 6836 First plot manager Who among the household members is the manager of [PLOT NAME]? 17416 6909 1 15984 2 1341 3 37 4 16 5 9 6 8 7 8 8 3 9 5 11 5 Sysmiss 6909 Second plot manager Who among the household members is the manager of [PLOT NAME]? 9751 14574 1 35 2 9464 3 165 4 51 5 15 6 7 8 1 9 2 10 1 11 5 12 5 Sysmiss 14574 Third plot manager Who among the household members is the manager of [PLOT NAME]? 210 24115 2 6 3 143 4 39 5 11 6 5 7 1 8 1 9 4 Sysmiss 24115 Whether who decides which inputs to use is a HH member Does the person who decides what kind of input is used in plot [PLOT NAME] and in which quantity live in this household? 17485 6840 1 Yes 17408 2 No 77 11 .A 4 Sysmiss 6836 First person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 17406 6919 1 15870 2 1449 3 35 4 16 5 7 6 8 7 8 8 3 9 5 11 5 Sysmiss 6919 Second person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 9463 14862 1 33 2 9165 3 167 4 55 5 22 6 7 8 1 9 2 10 1 11 5 12 5 Sysmiss 14862 Third person deciding on the inputs Who in the household decides what kind of input is used in [PLOT NAME] and in which quantity? 195 24130 2 5 3 127 4 42 5 10 6 5 7 1 8 3 9 2 Sysmiss 24130 Whether the person who prepared the land of this plot lives in the household Does the person who prepared the land for planting on this [PLOT NAME] live in this household? 17484 6841 1 Yes 16880 2 No 604 11 .A 5 Sysmiss 6836 First person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 16879 7446 1 14748 2 1938 3 108 4 31 5 12 6 13 7 8 8 3 9 5 11 9 18 4 Sysmiss 7446 Second person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 12149 12176 1 24 2.187 0.783 Third person preparing the land Who in the household prepared the land for planting on this [PLOT NAME]? 2646 21679 1 24 3.687 1.556 land preparation method How was the land preparation done on this [PLOT NAME] plot? 17485 6840 1 Ridge till 1327 2 Mulch till 85 3 Planting holes/pits 1307 4 Zero tillage/ No tillage 1899 5 Conventional tillage 12867 9 Other (Specify) 0 11 .A 4 Sysmiss 6836 Year in which the household adopted this method of land preparation In which year did you begin using the practice [TILLAGE METHOD] on this [PLOT NAME]? 17481 6844 -98 Don't Know / Don't Recall 924 1936 2 1940 1 1941 3 1944 2 1945 3 1946 3 1947 1 1948 1 1950 1 1952 6 1953 1 1954 15 1955 9 1956 4 1957 4 1958 7 1959 10 1960 50 1961 9 1962 20 1963 16 1964 28 1965 20 1966 7 1967 13 1968 33 1969 49 1970 49 1971 35 1972 40 1973 33 1974 31 1975 49 1976 23 1977 30 1978 50 1979 73 1980 239 1981 59 1982 109 1983 85 1984 92 1985 78 1986 177 1987 83 1988 72 1989 157 1990 260 1991 93 1992 147 1993 75 1994 152 1995 183 1996 229 1997 176 1998 223 1999 268 2000 623 2001 210 2002 229 2003 189 2004 281 2005 318 2006 235 2007 295 2008 340 2009 428 2010 515 2011 346 2012 394 2013 436 2014 716 2015 751 2016 998 2017 1163 2018 1624 2019 2778 10001 .A 4 Sysmiss 6840 Hand hoe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 396 1 Yes 17088 Sysmiss 6841 Forked hoe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 16864 1 Yes 620 Sysmiss 6841 Panga was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 9864 1 Yes 7620 Sysmiss 6841 Slasher/sickle was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 16712 1 Yes 772 Sysmiss 6841 Ox-Plough was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 14001 1 Yes 3483 Sysmiss 6841 Axe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17346 1 Yes 138 Sysmiss 6841 Pick-Axe was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17475 1 Yes 9 Sysmiss 6841 Sprayer was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17269 1 Yes 215 Sysmiss 6841 Jab Planter was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17484 1 Yes 0 Sysmiss 6841 Ripper Planter was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17484 1 Yes 0 Sysmiss 6841 17483 6842 1 No 17306 2 Yes 177 3 structural Missing 0 Sysmiss 6842 Harrowing Stick was used to prepare land on this [PLOT NAME] What are the two main implements used to prepare land for planting on this [PLOT NAME] plot? 17484 6841 0 No 17427 1 Yes 57 Sysmiss 6841 if plot is in a swampy area Is this [PLOT NAME] plot in a swamp or wetland area? 17489 6836 1 Yes 854 2 No 16635 Sysmiss 6836 irrigation status of the plot Is irrigation carried out on this [PLOT NAME] plot? 17489 6836 1 Yes 136 2 No 17353 Sysmiss 6836 Plot area (ha) 24325 0 0 219.998 0.259 1.754