DDI_UGA_2008_AgCENS_v01_M Lawrence Mugula Steven 2011-08-16 NADA Version 01: Adopted from "DDI-UGA-UBOS-UCA-2008/2009-v01" DDI that was done by metadata producer mentioned in "Metadata Production" section. Census of Agriculture 2008-2009 AgCENS 2008-09 UGA_2008_AgCENS_v01_M Uganda Bureau of Statistics (UBOS) Ministry of Agriculture, Animal Industry and Fisheries Food and Agriculture Organization of the United Nations Department for International Development Norwegian Agency for Development World Bank NADA Government of Uganda Uganda Bureau of Statistics (UBOS) Agricultural Survey [ag/oth] The first Census of Agriculture (CA) in Uganda was conducted during the period of 1963/65 with the assistance of the Food and Agriculture Organizations of the United Nations (FAO) and the then Department of Technical Cooperation of Britain. The second Census of Agriculture (National Census of Agriculture and Livestock) was conducted during 1990/91 although preparatory arrangements had started earlier. That census was funded by the United Nations Development Programme and executed by FAO. The Ministry then responsible for agriculture was the implementing agency. The third/latest in series is the Uganda Census of Agriculture (UCA 2008/09). Its main/long-term objective was to establish a system of Food and Agriculture Statistics (FAS), for providing information and data to inform policy and planning timely and sustainably. v1.2 Edited data, second version, for internal use only. This version contains the final datasets agricultural, forestry and rural industry [2.1] agricultural, forestry and rural industry [2.1] The agricultural sector is the most important sector of the Ugandan economy. Empirical evidence attests to this; for example the share of the agricultural sector to Gross Domestic Product (GDP) is about 21 percent (at the then current prices). According to the Agricultural Module of the 2002 Population and Housing Census, the agricultural sector accounted for 73 percent of the total employment for the persons aged 10 years and above. In addition, 74 percent of the households had an agricultural holding. The long term vision of the Government of Uganda is to eradicate poverty and the strategies for this vision are defined in the then Poverty Eradication Action Plan (PEAP) which has been transformed into the National Development Plan (NDP). The vision of PMA was to eradicate poverty through transforming subsistence agriculture to commercial agriculture. The whole process of transformation requires accurate and reliable agricultural data to monitor the progress made and inform policy and planning processes Further, countries are focusing on the need to monitor progress towards the Millennium Development Goals (MDGs) through their National Statistical systems. The World Census of Agriculture (WCA), 2010 was formulated with this in mind and specifically to monitor eradication of extreme poverty and hunger, achievement of Universal Primary Education, Promotion of gender equality and empowerment of women and ensuring environmental sustainability. Within the framework of the FAO/World Bank Agricultural Statistics Assistance to Uganda, a Data Needs Assessment Study was undertaken in August 1999. One of the major findings was that the Agricultural Statistics System was fragile, vulnerable, un-sustainable and above all, unable to meet the data needs of users. A Census of Agriculture (CA) is major source to meet these demands. Census taking in Uganda Prior to the conducting of the Uganda Census of Agriculture (UCA), 2008/09 two (2) other censuses had been conducted. The first CA was conducted during 1963/65. The Government of Uganda was assisted by FAO and the then Department for Technical Cooperation of the United Kingdom both of which provided international and census equipment to a varying degree. The second CA called the National Census of Agriculture and Livestock (NCAL) was conducted during 1990/91. It was funded by United Nations Development Programme (UNDP) and executed by FAO. Therefore the UCA 2008/09 formed the third CA in the history of census taking in Uganda. Preparatory activities An Agricultural Module was included in the Population and Housing Census 2002, to collect the data that would form a basis for constructing an up-to-date and appropriate sampling frame for a Uganda Census of Agriculture (UCA), 2004/05. A Pre-Test was conducted in 2002 followed by a pilot Census of Agriculture (PCA) which was conducted in 2003. Lack of financial resources militated against conducting the UCA, 2004/05. During the Financial Year (FY) 2007/08 Government made a budgetary provision for conducting a census of agriculture. The FY 2007/08 was mainly a preparatory year. As mentioned earlier, the plan had been to conduct a UCA during 2004/05, which did not take place. By 2008/09 (the census reference year), many changes had taken place and needed to be addressed. To this end, another Pre -Test was conducted in May 2008. Based on the findings from the Pre-Test, the UCA instruments had to be revised. Another very important factor for the instruments' revision was an input from the International Consultants (like FAO Statisticians). Other preparatory activities included arrangements to procure census equipment and transport as well as recruiting and training of Field Staff. Objectives of the UCA.2008/09 While the long-term objective of the UCA, 2008/09 was to have a system of Food and Agriculture Statistics (FAS) in place, the immediate objective was to collect and generate benchmark data needed for monitoring and evaluation of the agricultural sector at all levels, through a nation-wide CA. Uganda The Uganda Census of Agriculture 2008/09 covered all the 80 districts in the country as of July 2007. A district was planned to be the domain of study i.e. census data was planned to be disaggregated at district level. Agricultural households, Agricultural holdings The Uganda Census of Agriculture 2008/09 was therefore planned to cover all the 80 districts at the time and collect data on various structural characteristics of agricultural holdings. Limited data on livestock variables was planned to be collected because comprehensive livestock data was to be collected in a Livestock Census, 2008. Census/enumeration data [cen] AGRICULTURAL HOUSEHOLD - Identification Particulars o Holding Particulars o Enumeration Particulars - Household Member Characteristics - Holder Identification - Legal Status of Agricultural Holder - Utilisation of Land on the Holding - Agricultural Technology and Extension Services - Sources of Agricultural Information - Access to Facilities - Means of Transportation - Storage Facilities - Access to Credit - Irrigation System - Other Types of Water Management Practices - Holding Exposure for Flooding/ Water Retention - Land Tenure System of Parcels - Number of Tree Crops - Agricultural Inputs - Agricultural Equipment - Labour Input - Livestock - Aquaculture - Apiary (Bee keeping) - Forestry - Household Food Security - Other Economic Production Activities - Sources of Household Income CROP AREA - Identification Particulars o Holding Particulars o Enumeration Particulars - Area Characteristics CROP PRODUCTION - Identification Particulars o Holding Particulars o Enumeration Particulars - Production and Disposition of Crops (within EA) - Production and Disposition of Crops (outside EA) A stratified two-stage sample design was used for the small and medium-scale household-based agricultural holdings. At the first stage Enumeration Areas (EAs) were selected with Probability Proportional to Size (PPS), and at the second stage, households which were the ultimate sampling units were selected using systematic sampling. For each of the sampled EAs, listing took place in the field and a number of filter questions (using Listing Module) were administered to determine eligibility (i.e., only the Households with Agricultural Activity would be eligible). Further, the eligible households were stratified into two strata namely, the small/medium holdings stratum and the Private Large-Scale holdings stratum. On the other hand, district supervisors compiled separate lists of Institutional Farms and Private Large Scale Farms. These were to be covered on a complete enumeration basis. During sampling, two (2) lists namely for EAs and PLS&IFs were used to identify possibilities of duplication and address them. If a PLS&IF was in both lists, it was deleted from the EA frame. However, if it was found only in the EA frame, it was left as part of the frame from which to sample. In other words, the List was not updated based on the information collected from the EAs sampled from the Area Frame. The UCA2008/09 estimates were planned to be generated at national, regional and district levels. To achieve this, a sampling scheme of 3,606 EAs and 10 agricultural households in each selected EA, leading to 36,060 households was adopted. In this design, an optimum number of households to be sampled per EA was determined on the basis of a suitable cost ratio (ratio of the cost per PSU to cost per SSU) and intra-class correlation, calculated from the Agricultural Module data from PHC 2002. For a cost ratio of 40 and intra-class correlation as 0.29, optimum number of households to be selected was obtained as 10. The required sample size of EAs was selected from each district with probabilities proportional to size (PPS), using the systematic sampling algorithm described in Hansen, Hurwitz, and Madow (1953) while Agricultural Households were selected with equal probability systematic sampling procedure. The measure of Size (MOS) which was used for sample selection was the number of Agricultural Households determined from the 2002 PHC. EAs where there was no enumerations due to insecurity: There were EAs which could not be listed or even enumerated due to insecurity , resistance by residents or nonexistent etc. These were in Moroto, Nakapiririt, Mubende, Kampala etc. Since there were no replicate EAs, the number of sampled EAs in those districts was lowered reducing the estimated number of EAs expected to give good results in those respective districts. Face-to-face [f2f] The principles of validity, optimization and efficiency which refer to ability for the questionnaires to yield more reliable information per unit cost; measured as a reciprocal of the variance of the estimate and enables objective interpretation of the results was followed. While costs involved man hours and money expended for data collection from sampled units, the design of questionnaires had to collect a minimum set of internationally comparable core data(indices) for Uganda, as enshrined in the pillars of FAO. The headquarter staff involved in the training was drawn mainly from the Agricultural Statistics Sections of UBOS and MAAIF. Training was carried out in three (3) phases namely: Training of trainers: This entailed headquarter staff to ensure that the trainers when dispatched to various training centers would issue similar instructions. Training of District Supervisors (DSs): The main reason for carrying out a separate training for the DSs, was to ensure that when different centers of training for the Enumerators were established, the trained DSs would support the headquarter staff in the training. Due to their large number, the DSs were trained in two sessions each of about 60 participants to keep the class size manageable. Training of Enumerators: This training was mainly facilitated by National Supervisors (NSs) assisted by DSs at eight (8) regional centers namely; Mukono, Jinja, Mbale, Soroti, Lira, Arua, Mbarara, and Kabarole. Five (5) teams were constituted and some trained at more than one venue. The training had an advantage in that those DSs who had missed out or had not completely understood some aspects on the previous training were given another chance to catch up. Each team of field staff was trained for a period of seven (7) days. Five (5) were mainly for classroom work and the remaining two (2) days were spent on practical demonstrations on field activities, probing techniques and the use of GPS. The training was based on the questionnaires and Instructions Manuals. Forms trained on had been designed according to various modules for data collection and included the following: The Listing Module, Agricultural Household and Holding Characteristics Module, Crop Area and Production Module and Private Large Scale and Institutional Farms Module. A Pilot Census of Agriculture (PCA) was conducted in 2003 in the ten districts of Central (Masaka and Wakiso), Eastern (Iganga and Mbale), Northern (Arua, Lira and Nakapiripirit); Western (Kabale, Kabarole, Masindi) followed by a pre-test in Mityana district during the month of May 2008. The objectives of the pre-test were to; further test the suitability of instruments following the revision after the PCA 2003, and determine, field staff workloads. An objective method was used for area measurement using a Global Positioning System (GPS) device. For small plots of less than 100 square meters, it had been established during the Pre-Test and PCA, that the GPS device did not give accurate readings. In light of this observation, a Pacing Method was used as an alternative method to address the problem of small plots. Each Enumerator was assisted to establish a Pacing Co-efficient which was used in the computation of area of a given small polygon. Crop plots can be either in pure stand or in mixed stand. Determining the physical area occupied by each of the crops in mixed stand plot can be a challenge. In the UCA, an attempt to address this problem was done by instructing the field staff to determine the approximate percentage crop cover of each of the crops in the mixed stand and record it. On the average, an Enumerator was allocated four (4) EAs for purposes of having equal workload. The allocation of EAs to an Enumerator was carried out in such a way that distances covered could be minimized thus reducing on time loss and costs. It was a requirement that for the four (4) EAs assigned/allocated to an Enumerator, he/she was a resident In one of them. This was intended not only to ensure proximity to the assigned EAs but also take advantage of the enumerator's familiarity with an EA. In addition, his/her being known to the respondents in the locality was a prerequisite for securing their cooperation. The large districts like Masaka, Bushenyi, etc. had two (2) DSs, while the small ones like Bukwo, Busia, etc. had one (1). In the case of the former, the two (2) DSs apportioned work based on number of EAs, enumerators and the terrain to ensure equal workload. Enumerators were trained to probe the respondents until they were satisfied with the response given before they recorded them in the questionnaire. The first check of the questionnaires was done by enumerators in the field during enumeration. The second check was done by the district supervisors followed by National Supervisors. Supervisory visits at all levels of supervision focused on consistency checking of the questionnaires. Inconsistencies encountered were corrected, and where necessary a return visit to the respondent was made by the enumerator to obtain the correct information. The estimates presented in this report were derived from a scientifically selected sample. Weights were computed for each holding within the EA in a particular district. WHi= [1/(Prob1 * Prob2)]* A*B Where Prob 1:Is the probability of selecting an EA j from District K. Prob2:Is the probability of selecting HH i from EA j A :Is the coverage rate at EA level within the district B:Is the coverage rate of sampled hhs within EA j WHi:Is the final weight of selecting HHi in EA j from district K Data Processing monitored the data quality parameters and data quality team could continuously report to the field operations team who could make feed back to the DSs for improvement. Returned questionnaires were subjected to the following steps Coding, Data capture, Editing, Secondary Editing and Quality control. Coding This involved making sure that all forms/questionnaires had correct geographical identification information and correct crop codes. The coding team reviewed the sampling of holdings within an enumeration area to see that only eligible/sampled holdings were actually enumerated. Editing This involved the process of identifying inconsistencies within the data and removing them. At the beginning of UCA data processing, a set of editing rules and guidelines where developed by the data processing team with technical guidance from the subject matter specialists. Many of these were incorporated into the data entry application and others were left for the secondary editing stage. Secondary Editing Errors that passed the data entry stage were subjected to the editing stage. This stage was meant to find inconsistencies within the data. It brought out problems that required subject matter specialists to resolve. To resolve most of such errors, consultations were made with the national supervisors, district supervisors, UBOS and MAAIF technical teams. The UCA2008/9 had several forms namely; Agricultural Households and holding Characteristics Module; Crop Area Module; Crop Production Module and PLS & IFs Module. Overall, the response rate was 93.5 percent. The estimated number of Ag HHs was 3.95 million. Out of this, the Western Region had the highest percentage (28.5 percent) closely followed by the Eastern Region with 28.1 percent while the Northern and the Central Region had the 22.9 and 20.5 percent respectively. Out of about 3.6 million Ag HHs with information on the sex of HH head, 2.8 million (78.9%) and 754,000 (21.1%) were Male and Female respectively Confidentiality of respondents is guaranteed by Article 19 of The Uganda Bureau of Statistics Act, 1998. Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. Uganda Bureau of Statistics (UBOS) "Uganda Bureau of Statistics, Uganda Census of Agriculture (UCA - 2008-2009), Version 1.0 of the public use dataset (December 2010), provided by the Uganda National Data Archive. www.ubos.org/nada" The dataset is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions: 1.The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of Uganda Bureau of Statistics. 2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to Uganda Bureau of Statistics. 4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics, or among data from Uganda Bureau of Statistics and other datasets that could identify individuals or organizations. 5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset. 6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda Bureau of Statistics. 7. The original collector of the data, Uganda Bureau of Statistics, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses. The user of the data acknowledges that the Uganda Bureau of Statistics and the relevant funding agency(ies) bear no responsibility for use of the data or for interpretations or inferences based upon such uses. CoverF2 UCA Form 2: Agricultural Household and Holding Module This Dataset contains variables for UCA Form 2 Identification Particulars.(Cover Page) 0 21 F2Q17 Household Member Characteristics 17. Provide Information of each individual person in the household: 0 18 F2Singles 0 77 F2Q26 26. How many times (on demand and by routine) did the agricultural household members 0 7 F2Q27 Section 2.5 Sources of Agricultural Information Q27. Which of the following sources does the holding use for receiving information related to agriculture? 0 6 F2Q28 Section 2.6 Access to facilities Q28. What is the distance in kilometers to the nearest of the facilities mentioned below 0 6 F2Q29 Section 2.7 Means of Transportation Q29. Does the holding own, borrow or hire the following means of transportation?(For each record only the main kind of access) 0 7 F2Q31 Section 2.8 Storage facilities Q31. What storage facility does the holding use (several facilities may be used)and what is the volume of the storage facility used? (Record 1= Yes, 2 = No) 0 7 F2Q33 Section 2.9 Access to credit Q33. If yes , what was the source, purpose, amount and the period of the loan? (Read out the sources mentioned below and indicate whether the source is used or not) 0 8 F2Q38 Section 2.10 Irrigation System 38. What is the irrigated area (Ha) on the holding according to the following land use in the table below? 0 5 F2Q39 Section 2.10 Irrigation System 39. What is the area under irrigation (Ha) on the holding according to the following land use in the table below? 0 5 F2Q47 Section 2.13 Land Tenure System of parcels 47. What is the land tenure system for each parcel? 0 8 F2Q48 Section 2.14 Number of tree crops 48. Assign the relevant crop code and number of trees. 0 6 F2Q49 Section 2.15 Agricultural Inputs 49. Were any of the following agricultural inputs used during the last 12 months? 0 7 F2Q51 Section 2.16 Agricultural Equipment 51. For any of the equipment (used during the last 12 months) in the table below, cicle the appropriate answers 0 8 F2Q52 Section 2.17 Labour Input 52. How many members of the holding worked permanently or temporarily on the holding during the last 12 months? 0 11 F2Q53 53. Share of operation undertaken by agricultural household members who worked on during the last 12 months ? 0 8 F2Q55 55. How many persons and for how long were hired as permanent or temporary labourers during the last 12 months? 0 12 F2Q56 56. Share of work undertaken by persons who were hired as permanent or temporary labourers during the last 12 months on the specified operations? 0 12 F2Q58 UCA Form 2: Agricultural Household and Holding Module 58. How many holding members worked permanently or temporarily and for how long, on any other holding during the last 12 months? 0 12 F2Q59 59. Record the number of employees by payment form in the table below during the last 12 months? (Give the number for all categories). 0 12 F2Q61 Section 2.18 Livestock 61. if yes record the number of livestock and poultry reared on the holding 0 7 F2Q63 Section 2.19 Aquaculture 63. Area of aquaculture according to type of site 0 6 F2Q64 64. Area of aquaculture according to type of Production facility 0 6 F2Q69 Section 2.20 Apiary (Bee keeping) 69. Record number of bee hives colonised or not colonized by type and by honey quantity produced during the last 12 months 0 7 F2Q71 Section 2.21 Forestry 71. Area of forestry and other wooded land (in Hectares) 0 7 F2Q77 77. What was the households’ immediate response to food shortage? 0 7 F2Q78 78. What steps were taken to alleviate food shortage? 0 7 F2Q80 80. Which of the following natural disasters did the household experience in the last 12 months? 0 5 F2Q83 Section 2.24 Sources of Household Income 83: What are the other sources of income for the holding? Income source code (Rank from 1 starting with most important) 0 7 COVER4 UCA Form 4: Crop Area Module (Season 2 2008) Section 4.1 Identification Particulars 0 26 SEC41 UCA Form 4: Crop Area Module (Season 2 2008) Section 4.2 Area Characteristics This dataset contains the following questions; 18. Does the holder operate agricultural land located within the Enumeration Area 19. Has the holding grown crops in this agricultural season? 0 5 SEC41A UCA Form 4: Crop Area Module (Season 2 2008) Section 4.2 Area Characteristics 0 8 SEC42 UCA Form 4: Crop Area Module (Season 2 2008) Q21. Specify all agricultural land by parcel (incl. Land for farmhouse, stables, storehouses, etc.) used by the holder within the actual Enumeration Area and elsewhere.Start with the parcels within the Enumeration Area and list possible parcels located elsewhere at the end as follows: 0 12 SEC43 UCA Form 4: Crop Area Module (Season 2 2008) 22. Specify all crop plots by agricultural parcel by the holder within the Enumeration Area.Ask for holders estimate, measure (if necessary) using GPS, determine crop cover etc. and record appropriately. 0 22 CVER UCA Form 5: Crop Production (Season 2 2008) This section contains the Identification Particulars of a holding. 0 23 q517 UCA Form 5: Crop Production (Season 2 2008) Section 5.2: This Dataset contains variables about the Production and Disposition of crops (within EA): during reference period 0 25 RCOVER4 UCA Form 4: Crop Area Module (Season 1 2009) Section 4.1 Identification Particulars 0 27 REC41 UCA Form 4: Crop Area Module (Season 1 2009) Section 4.2 Area Characteristics This dataset contains variables for the following questions; 18. Does the holder operate agricultural land located within the Enumeration Area 19. Has the holding grown crops in this agricultural season? 0 5 REC42 UCA Form 4: Crop Area Module (Season 1 2009) Q21. Specify all agricultural land by parcel (incl. Land for farmhouse, stables, storehouses, etc.) used by the holder within the actual Enumeration Area and elsewhere.Start with the parcels within the Enumeration Area and list possible parcels located elsewhere at the end as follows: 0 12 REC43 UCA Form 4: Crop Area Module (Season 1 2009) 22. Specify all crop plots by agricultural parcel by the holder within the Enumeration Area.Ask for holders estimate, measure (if necessary) using GPS, determine crop cover etc. and record appropriately. 0 21 RCVER UCA Form 5: Crop Production (Season 1 2009) This section contains the Identification Particulars of a holding. 0 23 r517 UCA Form 5: Crop Production (Season 1 2009) Section 5.2: This Dataset contains variables about the Production and Disposition of crops (within EA): during reference period 0 25 Batch Number Batch Number Batch Number Batch Number Batch Number Batch Number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Holding Serial Number District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura County County County County County County household Sub county Sub county Sub county Sub county Sub county Sub county household Parish Parish Parish Parish Parish Parish household Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area household Local council Local council Local council Local council Local council Local council household Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder household 1 Holder 2 Spouse 3 Son/Daughter 4 Parent 5 Other relative 6 Non relative 9 missing Result of interview Result of interview Result of interview Result of interview Result of interview Result of interview household 1 Interview completed 2 Partial interview 3 No respondent available 4 Household moved 5 Dwelling destroyed 6 Dwelling vacant 7 Refusal 96 Other, specify 99 missing Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Enumerator Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Enumerator End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) Enumerator End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) Enumerator Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Enumerator Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Enumerator Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) district supervisor Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district superviso(month) district supervisor Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) national supervisor Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national superviso(month) national supervisor weights weights weights weights weights weights household Batch Number Batch Number Batch Number Batch Number Batch Number Batch Number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Household Member number Household Member number Household Member number Household Member number Household Member number Household Member number household Member Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head household Member 1 Head 2 Spouse 3 Son/daughter 4 Parent 5 Other relative 6 Non relative 9 Missing Sex Sex Sex Sex Sex Sex household Member 1 Male 2 Female 9 Missing Age Age Age Age Age Age household Member Marital Status Marital Status Marital Status Marital Status Marital Status Marital Status household Member 1 Never married 2 Married 3 Widowed & not remarried 4 Divorced & not remarried 5 Married but seperated 9 Missing Higest grade of education completed Higest grade of education completed Higest grade of education completed Higest grade of education completed Higest grade of education completed Higest grade of education completed household Member Never been to school 10 Did not complete P1 11 P1 12 P2 13 P3 14 P4 15 P5 16 P6 17 P7 21 J1 22 J2 23 J3 31 S1 32 S2 33 S3 34 S4 35 S5 36 S6 41 Incomplete certificate training 42 Complete certificate training 43 Incomplete diploma training 44 Complete diploma training 51 Incomplete degree 52 Complete degree 53 Incomplete post graduate training 54 Complete post graduate training 60 Functional Adult literacy training 61 Complementary opportunity for Primary Education 62 Incomplete vocational training 63 Complete vocational training 64 Other,specify 99 Missing Can read and write Can read and write Can read and write Can read and write Can read and write Can read and write household Member 1 Yes 2 No 9 Missing Main activity Main activity Main activity Main activity Main activity Main activity household Member 1 Crop Production 2 Livestock Production 3 Fisheries 4 Forestry 5 Horticulture 6 Fruity culture 7 Trader 8 Artisan 9 Agricultural paid job 10 Non-agricultural paid job 11 No activity -looking for work 12 No activity -not looking for work 13 Student 14 Household work 15 Child less than 8yrs 16 Apiary 99 Missing Situation in main Situation in main Situation in main Situation in main Situation in main Situation in main household Member 1 Own account worker 2 Employer 3 Paid worker 4 Non-paid family worker 5 Task worker 6 Does not apply 9 Missing Secondary activity Secondary activity Secondary activity Secondary activity Secondary activity Secondary activity household Member 1 Crop Production 2 Livestock Production 3 Fisheries 4 Forestry 5 Horticulture 6 Fruity culture 7 Trader 8 Artisan 9 Agricultural paid job 10 Non-agricultural paid job 11 No activity -looking for work 12 No activity -not looking for work 13 Student 14 Household work 15 Child less than 8yrs 16 Apiary 99 Missing Situation in secondary activity Situation in secondary activity Situation in secondary activity Situation in secondary activity Situation in secondary activity Situation in secondary activity household Member 1 Own account worker 2 Employer 3 Paid worker 4 Non-paid family worker 5 Task worker 6 Does not apply 9 Missing Manages a plot Manages a plot Manages a plot Manages a plot Manages a plot Manages a plot household Member 1 Yes 2 No 9 Missing Owns livestock Owns livestock Owns livestock Owns livestock Owns livestock Owns livestock household Member 1 Yes 2 No 9 Missing Received credit in the past 5 years Received credit in the past 5 years Received credit in the past 5 years Received credit in the past 5 years Received credit in the past 5 years Received credit in the past 5 years household Member 1 Yes 2 No 9 Missing Member farmers' organisation Member farmers' organisation Member farmers' organisation Member farmers' organisation Member farmers' organisation Member farmers' organisation household Member 1 Yes 2 No 9 Missing weights weights weights weights weights weights household Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Holder identification code Holder identification code Holder identification code Holder identification code Holder identification code household member Legal status of the holder Legal status of the holder Legal status of the holder Legal status of the holder Legal status of the holder household holder 1 Individual 2 Two or more individuals 3 Other 9 Missing Any visit from extension worker in 12 months? Any visit from extension worker in 12 months? Any visit from extension worker in 12 months? Any visit from extension worker in 12 months? Any visit from extension worker in 12 months? household 1 Yes 2 No 9 Missing How many visits from extension worker? How many visits from extension worker? How many visits from extension worker? How many visits from extension worker? How many visits from extension worker? household 98 dk 99 Missing NAADS NAADS NAADS NAADS NAADS household Other govt (crops) Other govt (crops) Other govt (crops) Other govt (crops) Other govt (crops) household Other govt (livestock) Other govt (livestock) Other govt (livestock) Other govt (livestock) Other govt (livestock) household Farmers' Association Farmers' Association Farmers' Association Farmers' Association Farmers' Association household Others Others Others Others Others household Male members trained by NAADS Male members trained by NAADS Male members trained by NAADS Male members trained by NAADS Male members trained by NAADS household Female members trained by NAADS Female members trained by NAADS Female members trained by NAADS Female members trained by NAADS Female members trained by NAADS household Does this holding have any storage facilities? Does this holding have any storage facilities? Does this holding have any storage facilities? Does this holding have any storage facilities? Does this holding have any storage facilities? household 1 Yes 2 No 9 Missing Received loan services in the last 5 yrs? Received loan services in the last 5 yrs? Received loan services in the last 5 yrs? Received loan services in the last 5 yrs? Received loan services in the last 5 yrs? household 1 Yes 2 No Security for loan? Security for loan? Security for loan? Security for loan? Security for loan? household 1 Yes 2 No 9 Missing What type of security was provided? What type of security was provided? What type of security was provided? What type of security was provided? What type of security was provided? household Reasons for no loan Reasons for no loan Reasons for no loan Reasons for no loan Reasons for no loan household Does the holding have any type of irrigation? Does the holding have any type of irrigation? Does the holding have any type of irrigation? Does the holding have any type of irrigation? Does the holding have any type of irrigation? household 1 Yes 2 No 9 Missing Sources of irrigation water used Sources of irrigation water used Sources of irrigation water used Sources of irrigation water used Sources of irrigation water used household Did the agricultural hh pay for the irrigation water used? Did the agricultural hh pay for the irrigation water used? Did the agricultural hh pay for the irrigation water used? Did the agricultural hh pay for the irrigation water used? Did the agricultural hh pay for the irrigation water used? household 1 Yes 2 No 9 Missing What were the payment terms What were the payment terms What were the payment terms What were the payment terms What were the payment terms household What other types of water mgt are carried out on the holding What other types of water mgt are carried out on the holding What other types of water mgt are carried out on the holding What other types of water mgt are carried out on the holding What other types of water mgt are carried out on the holding household Is the holding prone to flooding or water retention? Is the holding prone to flooding or water retention? Is the holding prone to flooding or water retention? Is the holding prone to flooding or water retention? Is the holding prone to flooding or water retention? household 1 Yes 2 No 9 Missing Does the holding undertake any drainage of the land Does the holding undertake any drainage of the land Does the holding undertake any drainage of the land Does the holding undertake any drainage of the land Does the holding undertake any drainage of the land household 1 Yes 2 No 9 Missing What is the total size of agric land drained? What is the total size of agric land drained? What is the total size of agric land drained? What is the total size of agric land drained? What is the total size of agric land drained? household Were the hybrid seeds bought fresh? Were the hybrid seeds bought fresh? Were the hybrid seeds bought fresh? Were the hybrid seeds bought fresh? Were the hybrid seeds bought fresh? household 1 Yes 2 No 9 Missing Were any persons hired for pay in cash or kind? Were any persons hired for pay in cash or kind? Were any persons hired for pay in cash or kind? Were any persons hired for pay in cash or kind? Were any persons hired for pay in cash or kind? household 1 Yes 2 No 9 Missing Workers employed on other holdings? Workers employed on other holdings? Workers employed on other holdings? Workers employed on other holdings? Workers employed on other holdings? household 1 Yes 2 No 9 Missing Is there any livestock or poultry reared on the holding? Is there any livestock or poultry reared on the holding? Is there any livestock or poultry reared on the holding? Is there any livestock or poultry reared on the holding? Is there any livestock or poultry reared on the holding? household 1 Yes 2 No 9 Missing Is aquaculture practised on this farm Is aquaculture practised on this farm Is aquaculture practised on this farm Is aquaculture practised on this farm Is aquaculture practised on this farm household 1 Yes 2 No 9 Missing What type of water was used for aquaculture? What type of water was used for aquaculture? What type of water was used for aquaculture? What type of water was used for aquaculture? What type of water was used for aquaculture? household What was the source of water? What was the source of water? What was the source of water? What was the source of water? What was the source of water? household What type of aquaculture organism is cultivated? What type of aquaculture organism is cultivated? What type of aquaculture organism is cultivated? What type of aquaculture organism is cultivated? What type of aquaculture organism is cultivated? household Is apiary practised on this holding Is apiary practised on this holding Is apiary practised on this holding Is apiary practised on this holding Is apiary practised on this holding household 1 Yes 2 No Is there a forest on this holding Is there a forest on this holding Is there a forest on this holding Is there a forest on this holding Is there a forest on this holding household 1 yes 2 no 9 Missing Main purpose of forest Main purpose of forest Main purpose of forest Main purpose of forest Main purpose of forest household 1 Production 2 Soil & water management 3 Multi purpose 4 Other 9 Missing Is agro forestry practiced? Is agro forestry practiced? Is agro forestry practiced? Is agro forestry practiced? Is agro forestry practiced? household 1 Yes 2 No 9 Missing Period when hh could not afford food? Period when hh could not afford food? Period when hh could not afford food? Period when hh could not afford food? Period when hh could not afford food? household 1 Yes 2 No 9 Missing Months of food shortage Months of food shortage Months of food shortage Months of food shortage Months of food shortage household Reasons for food shortage Reasons for food shortage Reasons for food shortage Reasons for food shortage Reasons for food shortage household What were the reasons for food shortage? First What were the reasons for food shortage? First What were the reasons for food shortage? First What were the reasons for food shortage? First What were the reasons for food shortage? First household What were the reasons for food shortage? Second What were the reasons for food shortage? Second What were the reasons for food shortage? Second What were the reasons for food shortage? Second What were the reasons for food shortage? Second household What were the reasons for food shortage? Third What were the reasons for food shortage? Third What were the reasons for food shortage? Third What were the reasons for food shortage? Third What were the reasons for food shortage? Third household Is the hh likely to experience food shortage in 12months? Is the hh likely to experience food shortage in 12months? Is the hh likely to experience food shortage in 12months? Is the hh likely to experience food shortage in 12months? Is the hh likely to experience food shortage in 12months? household 1 Yes 2 No 9 Missing Any other economic production activities on the holding? Any other economic production activities on the holding? Any other economic production activities on the holding? Any other economic production activities on the holding? Any other economic production activities on the holding? household 1 Yes 2 No 9 Missing Economic production activity (males) Economic production activity (males) Economic production activity (males) Economic production activity (males) Economic production activity (males) household Male Economic production activity (females) Economic production activity (females) Economic production activity (females) Economic production activity (females) Economic production activity (females) household Female Economic production activity (children) Economic production activity (children) Economic production activity (children) Economic production activity (children) Economic production activity (children) household Children Other agricultural production Male Other agricultural production Male Other agricultural production Male Other agricultural production Male Other agricultural production Male household Male Agricultural services Male Agricultural services Male Agricultural services Male Agricultural services Male Agricultural services Male household Male Hunting, trapping, game propagation and related service activities male Hunting, trapping, game propagation and related service activities male Hunting, trapping, game propagation and related service activities male Hunting, trapping, game propagation and related service activities male Hunting, trapping, game propagation and related service activities male household Male Forestry, logging and related service activities Male Forestry, logging and related service activities Male Forestry, logging and related service activities Male Forestry, logging and related service activities Male Forestry, logging and related service activities Male household Male Fishing, aquaculture and related service activities Male Fishing, aquaculture and related service activities Male Fishing, aquaculture and related service activities Male Fishing, aquaculture and related service activities Male Fishing, aquaculture and related service activities Male household Male Manufacturing, Male Manufacturing, Male Manufacturing, Male Manufacturing, Male Manufacturing, Male household Male wholesale and retail trade Male wholesale and retail trade Male wholesale and retail trade Male wholesale and retail trade Male wholesale and retail trade Male household Male Hotels and Restaurants Male Hotels and Restaurants Male Hotels and Restaurants Male Hotels and Restaurants Male Hotels and Restaurants Male household Male Other Male Other Male Other Male Other Male Other Male household Male Other agricultural production Female Other agricultural production Female Other agricultural production Female Other agricultural production Female Other agricultural production Female household Female Agricultural services Female Agricultural services Female Agricultural services Female Agricultural services Female Agricultural services Female household Female Hunting, trapping, game propagation and related service activities Female Hunting, trapping, game propagation and related service activities Female Hunting, trapping, game propagation and related service activities Female Hunting, trapping, game propagation and related service activities Female Hunting, trapping, game propagation and related service activities Female household Female Forestry, logging and related service activities Female Forestry, logging and related service activities Female Forestry, logging and related service activities Female Forestry, logging and related service activities Female Forestry, logging and related service activities Female household Female Fishing, aquaculture and related service activities Female Fishing, aquaculture and related service activities Female Fishing, aquaculture and related service activities Female Fishing, aquaculture and related service activities Female Fishing, aquaculture and related service activities Female household Female Manufacturing, Female Manufacturing, Female Manufacturing, Female Manufacturing, Female Manufacturing, Female household Female wholesale and retail trade Female wholesale and retail trade Female wholesale and retail trade Female wholesale and retail trade Female wholesale and retail trade Female household Female Hotels and Restaurants Female Hotels and Restaurants Female Hotels and Restaurants Female Hotels and Restaurants Female Hotels and Restaurants Female household Female Other Female Other Female Other Female Other Female Other Female household Female Other agricultural production Children Other agricultural production Children Other agricultural production Children Other agricultural production Children Other agricultural production Children household Children Agricultural services Children Agricultural services Children Agricultural services Children Agricultural services Children Agricultural services Children household Children Hunting, trapping, game propagation and related service activities Children Hunting, trapping, game propagation and related service activities Children Hunting, trapping, game propagation and related service activities Children Hunting, trapping, game propagation and related service activities Children Hunting, trapping, game propagation and related service activities Children household Children Forestry, logging and related service activities Children Forestry, logging and related service activities Children Forestry, logging and related service activities Children Forestry, logging and related service activities Children Forestry, logging and related service activities Children household Children Fishing, aquaculture and related service activities Children Fishing, aquaculture and related service activities Children Fishing, aquaculture and related service activities Children Fishing, aquaculture and related service activities Children Fishing, aquaculture and related service activities Children household Children Manufacturing, Children Manufacturing, Children Manufacturing, Children Manufacturing, Children Manufacturing, Children household Children wholesale and retail trade Children wholesale and retail trade Children wholesale and retail trade Children wholesale and retail trade Children wholesale and retail trade Children household Children Hotels and Restaurants Children Hotels and Restaurants Children Hotels and Restaurants Children Hotels and Restaurants Children Hotels and Restaurants Children household Children Other Children Other Children Other Children Other Children Other Children household Children Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Issue Issue Issue Issue Issue Issue household 1 Type of seed to use 2 Plant protection 3 Use of organic and inorganic fertilizers 4 When to plant 5 Crop spacing, weeding, thinning etc 6 Use of Animal feeds 7 Use of veterinary drugs 8 Insemination 9 Market information 10 Other, specify Received advice Received advice Received advice Received advice Received advice Received advice household 1 Yes 2 No 9 Missing Number of times on demand Number of times on demand Number of times on demand Number of times on demand Number of times on demand Number of times on demand household 99 Missing Number of times on routine Number of times on routine Number of times on routine Number of times on routine Number of times on routine Number of times on routine household 99 Missing Weight Weight Weight Weight Weight Weight household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Information on: Information on: Information on: Information on: Information on: Information on: household 1 Weather 2 Crop varieties 3 New Agric practices 4 Farm machinery 5 Credit facilities 6 Plant diseases and pests 7 Marketing Line Code Line Code Line Code Line Code Line Code Line Code household 1 Weather 2 Crop varieties 3 New Agric practices 4 Farm machinery 5 Credit facilities 6 Plant diseases and pests 7 Marketing Main source of agricultural information Main source of agricultural information Main source of agricultural information Main source of agricultural information Main source of agricultural information Main source of agricultural information household 1 Radio 2 Television 3 Telephone 4 Internet 5 Newspapers 6 Magazines/Bulletins 7 Extension workers 8 Farmer to farmer 9 NAADS 10 Agric. Shows/Exhibitions 96 Other, specify Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Facility Facility Facility Facility Facility Facility household 1 Local produce market 2 District produce market 3 Local input dealer / farm supply shops 4 Extension services 5 Nurseries 6 Agricultural research centres 7 Public transport 8 Feeder roads 9 All year round gravel road 10 Tarmac road Distance (km) Distance (km) Distance (km) Distance (km) Distance (km) Distance (km) household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Means of Transport Means of Transport Means of Transport Means of Transport Means of Transport Means of Transport household 1 Head loading 2 Car/pick up 3 Lorry 4 Tractor 5 Motor cycle 6 Bicycle 7 Oxen 8 Donkeys/mules 9 Boats/ferry 10 Wheelbarrow Kind of access code Kind of access code Kind of access code Kind of access code Kind of access code Kind of access code household 1 Owns 2 Can borrow 3 Can hire 4 No access 9 Missing Number of means of transport owned Number of means of transport owned Number of means of transport owned Number of means of transport owned Number of means of transport owned Number of means of transport owned household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Facility Facility Facility Facility Facility Facility household 1 Improved granary 2 Unimproved granary 3 In the house 4 Specific House/room 5 Under shelter outside 6 Cribs 7 Silos 8 Cold Storage 9 Under ground 10 Over fire place 11 Sealed containers 12 Other, Specify Usage Code Usage Code Usage Code Usage Code Usage Code Usage Code household 1 Yes 2 No Storage Volume (m3) Storage Volume (m3) Storage Volume (m3) Storage Volume (m3) Storage Volume (m3) Storage Volume (m3) household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Source of the loan Source of the loan Source of the loan Source of the loan Source of the loan Source of the loan household 1 Commercial Banks 2 Micro Finance Institutions 3 Money Lenders 4 Input supply 5 Self-help Group 6 Internal (Family and friends) 7 Government 8 NGO 96 Other, Specify Loan Purpose Code Loan Purpose Code Loan Purpose Code Loan Purpose Code Loan Purpose Code Loan Purpose Code household 1 Agriculture labour 2 Seeds 3 Fertilizer 4 Agro-chemicals 5 Farm implements & machinery 6 Irrigation Structures 7 Livestock 8 Aquaculture 9 Apiculture 10 Trading agricultural produce 11 Other agricultural Loan Period Code Loan Period Code Loan Period Code Loan Period Code Loan Period Code Loan Period Code household 1 < 1 year 2 1-3 years 3 >3 years 9 Missing Loan amount (U.Shs) if any Loan amount (U.Shs) if any Loan amount (U.Shs) if any Loan amount (U.Shs) if any Loan amount (U.Shs) if any Loan amount (U.Shs) if any household Outstanding amount of the loan (U.Shs) if any Outstanding amount of the loan (U.Shs) if any Outstanding amount of the loan (U.Shs) if any Outstanding amount of the loan (U.Shs) if any Outstanding amount of the loan (U.Shs) if any Outstanding amount of the loan (U.Shs)if any household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Land use Land use Land use Land use Land use Land use household 1 Land under permanent crops 2 Land under temporary crops(single irrigated) 3 Land under temporary crops (multiple irrigated) Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Method of irrigation Method of irrigation Method of irrigation Method of irrigation Method of irrigation Method of irrigation household 1 Surface irrigation 2 Sprinklers 3 Localized irrigation Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land Total size of irrigated land household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Parcel number Parcel number Parcel number Parcel number Parcel number Parcel number household Sex of sub holder Sex of sub holder Sex of sub holder Sex of sub holder Sex of sub holder Sex of sub holder household 1 Male 2 Female 9 Missing Parcel acquisition Parcel acquisition Parcel acquisition Parcel acquisition Parcel acquisition Parcel acquisition household 1 Inheritance 2 Purchase 3 Donation 4 Hire 6 Other, specify 9 Missing Tenure system code Tenure system code Tenure system code Tenure system code Tenure system code Tenure system code household 1 Customary 2 Freehold 3 Mailo land 4 Leasehold 5 Squatter 6 Other, specify 9 Not known 99 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Serial no. Serial no. Serial no. Serial no. Serial no. Serial no. household Crop code Crop code Crop code Crop code Crop code Crop code household 311 Avocados 316 Pawpaws 322 Lemon and limes 323 Oranges 345 Mangoes 362 Cashew nuts 443 Oil palm 674 Cocoa 760 Jack fruit 790 Other fruits & nut 890 Other permanent 950 Natural forest trees 960 Plantation trees 970 Bamboo 990 Other forest trees, specify 6111 Coffee -Arabica(old) 6112 Coffee -Robusta(old) 6113 Coffee - Arabica (new) 6114 Clonal coffee robusta Number of trees Number of trees Number of trees Number of trees Number of trees Number of trees household 9998 dk 9999 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Type of input Type of input Type of input Type of input Type of input Type of input household 1 Local seeds 2 Improved/Hybrid seeds 3 Organic fertilizer 4 Inorganic fertilizer 5 Herbicides 6 Fungicides 7 Pesticides 8 Other pesticides 9 Commercially prepared Animal feeds 10 Veterinary drugs 11 Insemination Used Used Used Used Used Used household 1 Yes 2 No 9 Missing If used, what is the main supply source (code) If used, what is the main supply source (code) If used, what is the main supply source (code) If used, what is the main supply source (code) If used, what is the main supply source (code) If used, what is the main supply source(code) household 1 Own 2 Markets 3 Cooperatives 4 Government 5 Related organisation NGOs 6 Others, specify 9 Missing If not, what is the main reason for non use (code) If not, what is the main reason for non use (code) If not, what is the main reason for non use (code) If not, what is the main reason for non use (code) If not, what is the main reason for non use (code) If not, what is the main reason for non use (code) household 1 No knowledge 2 Too expensive 3 Not available 4 Can not see the usefulness 6 Other, specify 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Type of equipment Type of equipment Type of equipment Type of equipment Type of equipment Type of equipment household 1 Hoes 2 Axes 3 Slashers 4 Pangas 5 Watering cans 6 Wheelbarrows 7 Pruning knives 8 Pruning saws 9 Chain/hand saw 10 Sheller 11 Spade 12 Fork hoe 13 Tractor 14 Plough 15 Ox-plough 16 Trailer 17 Harrow/cultivator 18 Weeder 19 Planter 20 Sprayer 21 Pail 22 Milk can 23 Other, specify Used during the last 12 months: Used during the last 12 months: Used during the last 12 months: Used during the last 12 months: Used during the last 12 months: Used during the last 12 months: household 1 Yes 2 No Number used Number used Number used Number used Number used Number used household Ownership (code) Ownership (code) Ownership (code) Ownership (code) Ownership (code) Ownership (code) household 1 Holder 2 Holder+other 3 Other private holder 4 Government 5 Cooperatives 6 NGO When did you buy the most recent item? (code) When did you buy the most recent item? (code) When did you buy the most recent item? (code) When did you buy the most recent item? (code) When did you buy the most recent item? (code) When did you buy the most recent item?(code) household 1 Less than 1 year ago 2 1-10 years ago 3 More than 10 years ago Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Permanent basis Males Permanent basis Males Permanent basis Males Permanent basis Males Permanent basis Males Permanent basis Males household Male Permanent basis Females Permanent basis Females Permanent basis Females Permanent basis Females Permanent basis Females Permanent basis Females household Female Permanent basis Boys Permanent basis Boys Permanent basis Boys Permanent basis Boys Permanent basis Boys Permanent basis Boys household boys Permanent basis Girls Permanent basis Girls Permanent basis Girls Permanent basis Girls Permanent basis Girls Permanent basis Girls household girls Temporary basis Males Temporary basis Males Temporary basis Males Temporary basis Males Temporary basis Males Temporary basis Males household Males Temporary basis Females Temporary basis Females Temporary basis Females Temporary basis Females Temporary basis Females Temporary basis Females household Females Temporary basis Boys Temporary basis Boys Temporary basis Boys Temporary basis Boys Temporary basis Boys Temporary basis Boys household Boys Temporary basis Girls Temporary basis Girls Temporary basis Girls Temporary basis Girls Temporary basis Girls Temporary basis Girls household Girls Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Operation Operation Operation Operation Operation Operation household 1 Ploughing 2 Planting 3 Weeding 4 Pruning 5 Harvesting 6 Bush clearing 7 Herding 8 Feeding 9 Milking 10 Fish farming 11 Construction/maintenance 12 Spraying 13 Scaring birds (for cereals) 14 Other, specify Males Males Males Males Males Males household males 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Females Females Females Females Females Females household females 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Boys Boys Boys Boys Boys Boys household Boys 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Girls Girls Girls Girls Girls Girls household girls 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Serial Number Serial Number Serial Number Serial Number Serial Number Serial Number household 1 Number 2 Payment period in no. of days Males Males Males Males Males Males household Males Females Females Females Females Females Females household Females Boys Boys Boys Boys Boys Boys household Boys Girls Girls Girls Girls Girls Girls household Girls Temporay Males Temporay Males Temporay Males Temporay Males Temporay Males Temporay Males household males Temporay Females Temporay Females Temporay Females Temporay Females Temporay Females Temporay Females household Females Temporay Boys Temporay Boys Temporay Boys Temporay Boys Temporay Boys Temporay Boys household Boys Temporay Girls Temporay Girls Temporay Girls Temporay Girls Temporay Girls Temporay Girls household Girls Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Operation Operation Operation Operation Operation Operation household 1 Ploughing 2 Planting 3 Weeding 4 Pruning 5 Harvesting 6 Bush clearing 7 Herding 8 Feeding 9 Milking 10 Fish farming 11 Construction/maintenance 12 Other, specify Permanent labourers Males Permanent labourers Males Permanent labourers Males Permanent labourers Males Permanent labourers Males Permanent labourers Males household Males 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Permanent labourers Females Permanent labourers Females Permanent labourers Females Permanent labourers Females Permanent labourers Females Permanent labourers Females household Females 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Permanent labourers Boys Permanent labourers Boys Permanent labourers Boys Permanent labourers Boys Permanent labourers Boys Permanent labourers Boys household Boys 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Permanent labourers Girls Permanent labourers Girls Permanent labourers Girls Permanent labourers Girls Permanent labourers Girls Permanent labourers Girls household Girls 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Temporary labourers Males Temporary labourers Males Temporary labourers Males Temporary labourers Males Temporary labourers Males Temporary labourers Males household males 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Temporary labourers Females Temporary labourers Females Temporary labourers Females Temporary labourers Females Temporary labourers Females Temporary labourers Females household Females 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Temporary labourers Boys Temporary labourers Boys Temporary labourers Boys Temporary labourers Boys Temporary labourers Boys Temporary labourers Boys household Boys 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Temporary labourers Girls Temporary labourers Girls Temporary labourers Girls Temporary labourers Girls Temporary labourers Girls Temporary labourers Girls household Girls 1 Little or none (< ¼) 2 About half (¼-¾) 3 Most of the time or all (> ¾) Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Serial Number Serial Number Serial Number Serial Number Serial Number Serial Number household 1 Number 2 Period in no. of days Permanent Males Permanent Males Permanent Males Permanent Males Permanent Males Permanent Males household Males Permanent Females Permanent Females Permanent Females Permanent Females Permanent Females Permanent Females household Females Permanent Boys Permanent Boys Permanent Boys Permanent Boys Permanent Boys Permanent Boys household Boys Permanent Girls Permanent Girls Permanent Girls Permanent Girls Permanent Girls Permanent Girls household Girls Temporay Males Temporay Males Temporay Males Temporay Males Temporay Males Temporay Males household Males Temporay Females Temporay Females Temporay Females Temporay Females Temporay Females Temporay Females household Females Temporay Boys Temporay Boys Temporay Boys Temporay Boys Temporay Boys Temporay Boys household Boys Temporay Girls Temporay Girls Temporay Girls Temporay Girls Temporay Girls Temporay Girls household Girls Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Form of payment Form of payment Form of payment Form of payment Form of payment Form of payment household 1 With money 2 With farm produce 3 Exchange of labour 4 Other forms of in kind payment Number of permanent labourers Males Number of permanent labourers Males Number of permanent labourers Males Number of permanent labourers Males Number of permanent labourers Males Number of permanent labourers Males household Males Number of permanent labourers Female Number of permanent labourers Female Number of permanent labourers Female Number of permanent labourers Female Number of permanent labourers Female Number of permanent labourers Female household Females Number of permanent labourers Boys Number of permanent labourers Boys Number of permanent labourers Boys Number of permanent labourers Boys Number of permanent labourers Boys Number of permanent labourers Boys household Boys Number of permanent labourers Girls Number of permanent labourers Girls Number of permanent labourers Girls Number of permanent labourers Girls Number of permanent labourers Girls Number of permanent labourers Girls household Girls Number of temporary labourers Males Number of temporary labourers Males Number of temporary labourers Males Number of temporary labourers Males Number of temporary labourers Males Number of temporary labourers Males household Males Number of temporary labourers Females Number of temporary labourers Females Number of temporary labourers Females Number of temporary labourers Females Number of temporary labourers Females Number of temporary labourers Females household Females Number of temporary labourers Boys Number of temporary labourers Boys Number of temporary labourers Boys Number of temporary labourers Boys Number of temporary labourers Boys Number of temporary labourers Boys household Boys Number of temporary labourers Girls Number of temporary labourers Girls Number of temporary labourers Girls Number of temporary labourers Girls Number of temporary labourers Girls Number of temporary labourers Girls household Girls Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Type Type Type Type Type Type household 1 Indigenous cattle 2 Exotic/ Cross 3 Goats 4 Sheep 5 Pigs 6 Local Chicken 7 Exotic Chicken Total Number Total Number Total Number Total Number Total Number Total Number household Of which owned by female members Of which owned by female members Of which owned by female members Of which owned by female members Of which owned by female members Of which owned by female members household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Type of site Type of site Type of site Type of site Type of site Type of site household 1 Land based – Arable land 2 Land based – Non-arable land (e.g. wetlands) 3 Inland open water Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) household Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number household Batch number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Holding Serial Number Type of site Type of site Type of site Type of site Type of site household 1 Rice-cum-fish culture 2 Ponds 3 Pens, cages and hapas 4 Tanks and raceways 5 Floating rafts, lines, ropes, bags and stakes Type of site Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) Total area (Sq meters) household Total area (Sq meters) Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members Of which managed by HH female members household Females Of which managed by HH female members Weights Weights Weights Weights Weights household Weights Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Hive Type Hive Type Hive Type Hive Type Hive Type Hive Type household 1 Local 2 Kenya Top Bar (KTB) 3 Langstroth 4 Others Number; Colonized Number; Colonized Number; Colonized Number; Colonized Number; Colonized Number; Colonized household Number; Not Colonized Number; Not Colonized Number; Not Colonized Number; Not Colonized Number; Not Colonized Number; Not Colonized household Production (Kg) Production (Kg) Production (Kg) Production (Kg) Production (Kg) Production (Kg) household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Type code Type code Type code Type code Type code Type code household 1 Forestry 2 Other wooded land Area (as primary land use) Area (as primary land use) Area (as primary land use) Area (as primary land use) Area (as primary land use) Area (as primary land use) household Area (as Secondary land use) Area (as Secondary land use) Area (as Secondary land use) Area (as Secondary land use) Area (as Secondary land use) Area (as Secondary land use) household Total Total Total Total Total Total household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Change in eating pattern Change in eating pattern Change in eating pattern Change in eating pattern Change in eating pattern Change in eating pattern household 1 Skipping meals 2 Eating less preferred food 3 Reducing the size of meals Adult male Adult male Adult male Adult male Adult male Adult male household Male 1 Yes 2 No 9 Missing Adult female Adult female Adult female Adult female Adult female Adult female household Female 1 Yes 2 No 9 Missing Children Children Children Children Children Children household Children 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Steps(Coping strategies) Steps(Coping strategies) Steps(Coping strategies) Steps(Coping strategies) Steps(Coping strategies) Steps(Coping strategies) household 1 Use savings to buy food 2 Take out a loan 3 Sell land 4 Sell livestock 5 Get another job 6 Start or expand a family business 7 Get help from relatives or other people 8 Get help from the Gov’t 9 Get help from charities Adult male Adult male Adult male Adult male Adult male Adult male household male 1 Yes 2 No 9 Missing Adult female Adult female Adult female Adult female Adult female Adult female household female 1 Yes 2 No 9 Missing Children Children Children Children Children Children household children 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Disaster Disaster Disaster Disaster Disaster Disaster household 1 Floods and tidal waves 2 Drought 3 Hailstorms 4 Pests/diseases 5 Erratic rains 6 Other 7 Insecurity 8 Other man made Extent of damage Extent of damage Extent of damage Extent of damage Extent of damage Extent of damage household 1 None 2 Slight 3 Moderate 4 Severe 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Sources of Income Sources of Income Sources of Income Sources of Income Sources of Income Sources of Income household 1 Income derived from economic production activities other than agricultural production 2 Income from paid employment 3 Pensions and investment income 4 Remittances-Internal (within Uganda) 5 Remittances-External (outside Uganda) Male HH members Male HH members Male HH members Male HH members Male HH members Male HH members household Male Female HH members Female HH members Female HH members Female HH members Female HH members Female HH members household Female Children Children Children Children Children Children household Children Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura County County County County County County household Sub county Sub county Sub county Sub county Sub county Sub county household Parish Parish Parish Parish Parish Parish household Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area household Local council Local council Local council Local council Local council Local council household Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder household 1 Holder 2 Spouse 3 Child 4 Parent 5 Other relative 6 Not related 9 Missing Season 2 Season 2 Season 2 Season 2 Season 2 Season 2 household 2 Season(2) Year 2008 Year 2008 Year 2008 Year 2008 Year 2008 Year 2008 household 2008 Year (2008) Result of interview Result of interview Result of interview Result of interview Result of interview Result of interview household 1 Interview completed 2 Partial interview 3 No respondent available 4 Household moved 5 Dwelling destroyed/not found 6 Dwelling vacant 7 Refusal 9 Other,specify GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) household N North S South GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns household GPS coordinates East GPS coordinates East GPS coordinates East GPS coordinates East GPS coordinates East GPS coordinates East household E East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East household Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Enumerator Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Enumerator Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Enumerator Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Enumerator Date completed (day) Date completed (day) Date completed (day) Date completed (day) Date completed (day) Date completed (day) Enumerator Date completed (month) Date completed (month) Date completed (month) Date completed (month) Date completed (month) Date completed (month) Enumerator Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) District Supervisor Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) District Supervisor Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) National Supervisor Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) National Supervisor Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the household 1 Yes 2 No 9 Missing Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur household 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Serial number Serial number Serial number Serial number Serial number Serial number household Crop code Crop code Crop code Crop code Crop code Crop code household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Number of pure plots Number of pure plots Number of pure plots Number of pure plots Number of pure plots Number of pure plots household Number of mixed plots Number of mixed plots Number of mixed plots Number of mixed plots Number of mixed plots Number of mixed plots household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number household Sex of in charge Sex of in charge Sex of in charge Sex of in charge Sex of in charge Sex of in charge household 1 Male 2 Female 9 Missing Location of parcel Location of parcel Location of parcel Location of parcel Location of parcel Location of parcel household 1 Within EA 2 Outside EA but with parish 3 Outside parish but within subcounty 4 Elsewhere in district 5 Outside district 9 Missing Terms of rental Terms of rental Terms of rental Terms of rental Terms of rental Terms of rental household 1 Owned 2 Rented for agreed amount 3 Rented for share of produce 4 Rented in exchange for services 6 Others 9 Missing Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation household 1 Yes 2 No 9 Missing Period since cleared Period since cleared Period since cleared Period since cleared Period since cleared Period since cleared household 1 Under a year ago 2 1-3 years ago 3 4 or more years ago 9 Missing Area in ha Area in ha Area in ha Area in ha Area in ha Area in ha household Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit household 1 Hectare 2 Acre 9 Missing Area of parcel Area of parcel Area of parcel Area of parcel Area of parcel Area of parcel household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number household Plot Plot Plot Plot Plot Plot household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager household 1 Male 2 Female 9 Missing Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS household Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha household Use code Use code Use code Use code Use code Use code household 1 Pure stand 2 Mixed stand 3 Fallow 4 Farm houses 6 Other 9 Missing Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % household Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % household Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type household No crop listed 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % household Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type household No crop listed 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % household Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type household No crop listed 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % household Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? household 1 Mainly husband 2 Mainly wife 3 Husband and wife 4 Children 5 Owner 6 Other 9 Missing Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric household 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Season Season Season Season Season Season 2 household 2 season(2) Year Year Year Year Year Year household 2008 year(2008) District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura County County County County County County household Sub county Sub county Sub county Sub county Sub county Sub county household Parish Parish Parish Parish Parish Parish household Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area household Local council Local council Local council Local council Local council Local council household Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder household 1 Holder 2 Spouse 3 Son/Daughter 4 Parent 5 Other relative 6 Non relative 9 Missing Result of interview Result of interview Result of interview Result of interview Result of interview Result of interview household 1 Interview completed 2 Partial interview 3 No respondent available 4 Household moved 5 Dwelling destroyed 6 Dwelling vacant 7 Refusal 96 Other Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Enumerator Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Enumerator End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) Enumerator End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) Enumerator Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Enumerator Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Enumerator Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) district supervisor Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) district supervisor Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) national supervisor Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) national supervisor Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number household Batch number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Holding Serial Number District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura District Line Number Line Number Line Number Line Number Line Number household Line Number Crop code Crop code Crop code Crop code Crop code household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop code Harvested unit code Harvested unit code Harvested unit code Harvested unit code Harvested unit code household 1 Kilogram (kg) 2 Gram 3 Litre 4 Small cup with handle (Akendo) 5 Metre 6 Square metre 7 Yard 8 Millilitre 9 Sack (120 kgs) 10 Sack (100 kgs) 11 Sack (80 kgs) 12 Sack (50 kgs) 13 Sack (unspecified) 14 Jerrican (20 lts) 15 Jerrican (10 lts) 16 Jerrican (5 lts) 17 Jerrican (3 lts) 18 Jerrican (2 lts) 19 Jerrican ( 1 lt) 20 Tin (20 lts) 21 Tin (5 lts) 22 Plastic Basin (20 lts) 23 Bottle (750 ml) 24 Bottle (500 ml) 25 Bottle (350 ml) 26 Bottle (300 ml) 27 Bottle (250 ml) 28 Bottle (150 ml) 29 kimbo/Cowboy/Blueband Tin (2 kg) 30 Kimbo/Cowboy/Blueband Tin (1 kg) 31 Kimbo/Cowboy/Blueband Tin (0.5 kg) 32 Cup/Mug (0.5 lt) 33 Glass (0.25 lt) 34 Ladle (100g) 35 Table spoon 36 Tea spoon 37 Basket (20 kg) 38 Basket (10 kg) 39 Basket (5 kg) 40 Basket (2 kg) 41 Loaf ( 1 kg) 42 Loaf (500 g) 43 Buns (200 g) 44 Buns (100g) 45 Buns (50 g) 46 Bathing soap (Tablet) 47 Washing soap (Bar) 48 Washing soap (Tablet) 49 Packet (2 kg) 50 Packet (1 kg) 51 Packet (500 g) 52 Packet (250 g) 53 Packet (100 g) 54 Packet (unspecified) 55 FishWhole (Up to 1 kg) 56 FishWhole (1 2 kg) 57 FishWhole (Above 2 kg) 58 FishCut piece (Up to 1 kg) 59 FishCut piece (1 2 kg) 60 FishCut piece (Above 2 kg) 61 Tray of 30 eggs 62 Ream 63 Crate 64 Heap(Unspecified) 65 Dozen 66 Bundle (Unspecified) 67 Bunch (Big) 68 Bunch (Medium) 69 Bunch (small) 70 Cluster (unspecified) 71 Grourd (1 5 ltrs) 72 Gourd (5 10 lts) 73 Gourd (Above 10 lts) 74 Gologolo (4 5 lts) 75 Calabash (1 5 lts) 76 Calabash (Above 5 lts) 77 Jug (2 lts) 78 Jug (1.5 lts) 79 Jug (1 lt) 80 Tot (50 ml) 81 Tot (sachet) 82 Tot (unspecified) 83 Tobacco leaf (number) 84 Pair 85 Number of units (General) 86 Acre 87 Other Units (specify) 99 Missing Harvested unit code Harvested no. of units Harvested no. of units Harvested no. of units Harvested no. of units Harvested no. of units household Harvested no. of units Harvest condition state code Harvest condition state code Harvest condition state code Harvest condition state code Harvest condition state code household 11 Green harvested with shell/cob and with stalk 12 Green harvested with shell/cob without stalk 13 Green harvested in the cob 14 Green harvested in the pods 21 Fresh/raw harvestedwith shell/cob and with stalk 22 Fresh/raw harvestedwith shell/cob without stalk 23 Fresh/raw havested in the cob 24 Fresh/raw harvested in pods 29 Fresh/raw harvestedstate not applicable 31 Dry at harvest with shell / cob and stalk 32 Dry at harvest with shell/cob without stalk 33 Dry at harvest in the cob 35 Dry at harvest grain 39 Dry at harvest - state not applicable 42 Dry after modifyitional drying with shell 43 Dry after modifyitional drying in the cob 45 Dry after modifyitional drying grain 49 Dry after modifyitional drying state not applicable 50 Dry parchment (pulped and fermented) 99 missing Harvest condition state code Sold unit code Sold unit code Sold unit code Sold unit code Sold unit code household 1 Kilogram (kg) 2 Gram 3 Litre 4 Small cup with handle (Akendo) 5 Metre 6 Square metre 7 Yard 8 Millilitre 9 Sack (120 kgs) 10 Sack (100 kgs) 11 Sack (80 kgs) 12 Sack (50 kgs) 13 Sack (unspecified) 14 Jerrican (20 lts) 15 Jerrican (10 lts) 16 Jerrican (5 lts) 17 Jerrican (3 lts) 18 Jerrican (2 lts) 19 Jerrican ( 1 lt) 20 Tin (20 lts) 21 Tin (5 lts) 22 Plastic Basin (20 lts) 23 Bottle (750 ml) 24 Bottle (500 ml) 25 Bottle (350 ml) 26 Bottle (300 ml) 27 Bottle (250 ml) 28 Bottle (150 ml) 29 kimbo/Cowboy/Blueband Tin (2 kg) 30 Kimbo/Cowboy/Blueband Tin (1 kg) 31 Kimbo/Cowboy/Blueband Tin (0.5 kg) 32 Cup/Mug (0.5 lt) 33 Glass (0.25 lt) 34 Ladle (100g) 35 Table spoon 36 Tea spoon 37 Basket (20 kg) 38 Basket (10 kg) 39 Basket (5 kg) 40 Basket (2 kg) 41 Loaf ( 1 kg) 42 Loaf (500 g) 43 Buns (200 g) 44 Buns (100g) 45 Buns (50 g) 46 Bathing soap (Tablet) 47 Washing soap (Bar) 48 Washing soap (Tablet) 49 Packet (2 kg) 50 Packet (1 kg) 51 Packet (500 g) 52 Packet (250 g) 53 Packet (100 g) 54 Packet (unspecified) 55 FishWhole (Up to 1 kg) 56 FishWhole (1 2 kg) 57 FishWhole (Above 2 kg) 58 FishCut piece (Up to 1 kg) 59 FishCut piece (1 2 kg) 60 FishCut piece (Above 2 kg) 61 Tray of 30 eggs 62 Ream 63 Crate 64 Heap(Unspecified) 65 Dozen 66 Bundle (Unspecified) 67 Bunch (Big) 68 Bunch (Medium) 69 Bunch (small) 70 Cluster (unspecified) 71 Grourd (1 5 ltrs) 72 Gourd (5 10 lts) 73 Gourd (Above 10 lts) 74 Gologolo (4 5 lts) 75 Calabash (1 5 lts) 76 Calabash (Above 5 lts) 77 Jug (2 lts) 78 Jug (1.5 lts) 79 Jug (1 lt) 80 Tot (50 ml) 81 Tot (sachet) 82 Tot (unspecified) 83 Tobacco leaf (number) 84 Pair 85 Number of units (General) 86 Acre 87 Other Units (specify) 99 Missing Sold unit code No. of units sold No. of units sold No. of units sold No. of units sold No. of units sold household No. of units sold Sold condition code Sold condition code Sold condition code Sold condition code Sold condition code household 11 Green harvested with shell/cob and with stalk 12 Green harvested with shell/cob without stalk 13 Green harvested in the cob 14 Green harvested in the pods 21 Fresh/raw harvestedwith shell/cob and with stalk 22 Fresh/raw harvestedwith shell/cob without stalk 23 Fresh/raw havested in the cob 24 Fresh/raw harvested in pods 29 Fresh/raw harvestedstate not applicable 31 Dry at harvest with shell / cob and stalk 32 Dry at harvest with shell/cob without stalk 33 Dry at harvest in the cob 35 Dry at harvest grain 39 Dry at harvest - state not applicable 42 Dry after modifyitional drying with shell 43 Dry after modifyitional drying in the cob 45 Dry after modifyitional drying grain 49 Dry after modifyitional drying state not applicable 50 Dry parchment (pulped and fermented) 99 missing Sold condition code Main buyer Main buyer Main buyer Main buyer Main buyer household 1 Govt/LC 2 Private trader in local market 3 Private trader in district market 4 Consumer at market 5 Neighbour/relative 6 Other 9 Missing Main buyer Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed household Processed for sale/animal feed Quantity given away Quantity given away Quantity given away Quantity given away Quantity given away household Quantity given away Quantity consumed by household Quantity consumed by household Quantity consumed by household Quantity consumed by household Quantity consumed by household household Quantity consumed by household Used for seed Used for seed Used for seed Used for seed Used for seed household Used for seed Currently in storage Currently in storage Currently in storage Currently in storage Currently in storage household Currently in storage Given to others Given to others Given to others Given to others Given to others household Given to others Region Region Region Region Region household 1 Central 2 Eastern 3 Northern 4 Western Region Quantity Harvested Quantity Harvested Quantity Harvested Quantity Harvested Quantity Harvested household Quantity Harvested Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity Sold household Quantity Sold Quantity Consumed Quantity Consumed Quantity Consumed Quantity Consumed Quantity Consumed household Quantity Consumed Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage household Quantity Currently in Storage Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers household Quantity Animalfeeds,givenaway,forseed,givenothers Weights Weights Weights Weights Weights household Weights Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura County County County County County County household Sub county Sub county Sub county Sub county Sub county Sub county household Parish Parish Parish Parish Parish Parish household Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area household Local council Local council Local council Local council Local council Local council household Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder household 1 Holder 2 Spouse 3 Child 4 Parent 5 Other relative 6 Not related 9 Missing Season of visit Season of visit Season of visit Season of visit Season of visit Season 1 household 1 season(1) Year of visit Year of visit Year of visit Year of visit Year of visit Year 2009 household 2009 year(2009) Result of interview Result of interview Result of interview Result of interview Result of interview Result of interview household 1 Interview completed 2 Partial interview 3 No respondent available 4 Household moved 5 Dwelling destroyed/not found 6 Dwelling vacant 7 Refusal 9 Other,specify GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) GPS coordinates(north/south) household N North S South GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns GPS coordinate ns household GPS coordinates east GPS coordinates east GPS coordinates east GPS coordinates east GPS coordinates east GPS coordinates East household E East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East GPS coordinate East household Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Interview start time(hrs) Enumerator Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Interview start time(min) Enumerator Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Interview end time(hrs) Enumerator Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Interview end time(min) Enumerator Date completed (day) Date completed (day) Date completed (day) Date completed (day) Date completed (day) Date completed (day) Enumerator Date completed (month) Date completed (month) Date completed (month) Date completed (month) Date completed (month) Date completed (month) Enumerator Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) District Supervisor Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) District Supervisor Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) Date checked(day) National Supervisor Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) Date checked(month) National Supervisor Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the Does the holder operate agricultural land located within the household 1 Yes 2 No 9 Missing Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur Has the hh grown any crops on the holding in this agricultur household 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Parcel no Parcel no Parcel no Parcel no Parcel no Parcel no household Sex of in charge Sex of in charge Sex of in charge Sex of in charge Sex of in charge Sex of in charge household 1 Male 2 Female 9 Missing Location of parcel Location of parcel Location of parcel Location of parcel Location of parcel Location of parcel household 1 Within EA 2 Outside EA but with parish 3 Outside parish but within subcounty 4 Elsewhere in district 5 Outside district 9 Missing Terms of rental Terms of rental Terms of rental Terms of rental Terms of rental Terms of rental household 1 Owned 2 Rented for agreed amount 3 Rented for share of produce 4 Rented in exchange for services 6 Others 9 Missing Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation Presence of shifting cultivation household 1 Yes 2 No 9 Missing Period since cleared Period since cleared Period since cleared Period since cleared Period since cleared Period since cleared household 1 Under a year ago 2 1-3 years ago 3 4 or more years ago 9 Missing Area in ha Area in ha Area in ha Area in ha Area in ha Area in ha household Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit Area of parcel measuring unit household 1 Hectare 2 Acre 9 Missing Area of parcel Area of parcel Area of parcel Area of parcel Area of parcel Area of parcel household Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number Parcel Number household Plot Plot Plot Plot Plot Plot household Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager Sex of plot manager household 1 Male 2 Female 9 Missing Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS Area in ha using GPS household Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha Estimate area by pacing in ha household Use code Use code Use code Use code Use code Use code household 1 Pure stand 2 Mixed stand 3 Fallow 4 Farm houses 6 Other 9 Missing Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type Crop 1 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % Crop 1 Cover % household Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type Crop 2 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % Crop 2 Cover % household Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type Crop 3 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % Crop 3 Cover % household Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type Crop 4 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % Crop 4 Cover % household Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type Crop 5 Type household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % Crop 5 Cover % household Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? Who decides on use of proceeds from plot? household 1 Mainly husband 2 Mainly wife 3 Husband and wife 4 Children 5 Owner 6 Other 9 Missing Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric Was the dominant crop(s) grown on the plot in the last agric household 1 Yes 2 No 9 Missing Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household Season Season Season Season Season Season 1 household 1 season(1) Year Year Year Year Year Year (2009) household 2009 year(2009) District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura County County County County County County household Sub county Sub county Sub county Sub county Sub county Sub county household Parish Parish Parish Parish Parish Parish household Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area Enumaration Area household Local council Local council Local council Local council Local council Local council household Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder Relationship to holder household 1 Holder 2 Spouse 3 Son/Daughter 4 Parent 5 Other relative 6 Non relative 9 Missing Result of interview Result of interview Result of interview Result of interview Result of interview Result of interview household 1 Interview completed 2 Partial interview 3 No respondent available 4 Household moved 5 Dwelling destroyed 6 Dwelling vacant 7 Refusal 96 Other Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Start time(hours) Enumerator Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Start time(minute) Enumerator End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) End time(hours) Enumerator End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) End time(minute) Enumerator Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Date completed(day) Enumerator Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Date completed(month) Enumerator Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) Date checked by district supervisor(day) District Supervisor Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) Date checked by district supervisor(month) District Supervisor Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) Date checked by national supervisor(day) National Supervisor Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) Date checked by national supervisor(month) National Supervisor Weights Weights Weights Weights Weights Weights household Batch number Batch number Batch number Batch number Batch number Batch number household Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number Holding Serial Number household District District District District District District household 101 Kalangala 102 Kampala 103 Kiboga 104 Luwero 105 Masaka 106 Mpigi 107 Mubende 108 Mukono 109 Nakasongola 110 Rakai 111 Ssembabule 112 Kayunga 113 Wakiso 114 Lyantonde 115 Mityana 116 Nakaseke 201 Bugiri 202 Busia 203 Iganga 204 Jinja 205 Kamuli 206 Kapchorwa 207 Katakwi 208 Kumi 209 Mbale 210 Pallisa 211 Soroti 212 Tororo 213 Kaberamaido 214 Mayuge 215 Sironko 216 Amuria 217 Budaka 218 Bududa 219 Bukedea 220 Bukwo 221 Butaleja 222 Kaliro 223 Manafwa 224 Namutumba 301 Adjumani 302 Apac 303 Arua 304 Gulu 305 Kitgum 306 Kotido 307 Lira 308 Moroto 309 Moyo 310 Nebbi 311 Nakapiripirit 312 Pader 313 Yumbe 314 Abim 315 Amolatar 316 Amuru 317 Dokolo 318 Kaabong 319 Koboko 320 Nyadri 321 Oyam 401 Bundibugyo 402 Bushenyi 403 Hoima 404 Kabale 405 Kabarole 406 Kasese 407 Kibaale 408 Kisoro 409 Masindi 410 Mbarara 411 Ntungamo 412 Rukungiri 413 Kamwenge 414 Kanungu 415 Kyenjojo 416 Buliisa 417 Ibanda 418 Isingiro 419 Kiruhura Line Number Line Number Line Number Line Number Line Number Line Number household Crop code Crop code Crop code Crop code Crop code Crop code household 111 Wheat 112 Maize 113 Rice 114 Sorghum 115 Barley 117 Oats 118 Milllets 212 Asparagus 213 Cauliflowers & broccoli 214 Cauliflowers & brccoli 215 Lettuce 216 Spinach 217 Chicory 219 Other leafy/ stem vegetables n.e.c 221 Cucumber 222 Egg Plant 223 Tomatoes 224 Water melons 226 Pumpkin 229 Other fruit bearing vegetables 231 Carrots 232 Tumips 233 Garic 234 Onions 239 Other root, bulbs or tuberous vegetables 241 Mushroom 291 vegetables n.e.c 311 Avocado 315 Mangoes 316 Pawpaw 317 Pineapples 321 Grape fruit & Pomelo 322 Lemon & Limes 323 Oranges 324 Trangerines & Mandrarines 329 Other citrus fruits 341 Currants 345 Strawberries 351 Apples 352 Apricots 355 Pears 356 Plums 362 Cashew nuts 411 Soya Beans 421 G/nuts 431 Caster Beans 432 Linseed 433 Mustard 437 Simsim 438 Sunflower 511 Irish Potatoes 521 Sweet Potatoes 531 Cassava 541 Yams 591 Other root crops and tubers 612 Tea 614 Cocoa 619 Other Beverages n.e.c 711 Beans 721 Broad Beans 731 Chick Peas 741 Cow Peas 751 Lentils 771 Peas 781 Pigeon Peas 791 Leguminous crops n.e.c 811 Sugar beet 821 Sugar cane 831 Sweet sorghum 891 Other sugar crops 961 Tobacco 1191 Mixed Cereals 1192 Other 3121 Banana (Food) 3122 Banana (sweet) 3123 Banana (Beer) 6111 Coffee Arabica (old) 6112 Coffee Robusta (old) 6113 Coffee Arabica (New) 6114 Coffee Robusta (clona) 9211 Cotton 9213 Flax, Hemp 9219 Other temporary fibre crops 9911 Other crpostemporary Harvested unit code Harvested unit code Harvested unit code Harvested unit code Harvested unit code Harvested unit code household 1 Kilogram (kg) 2 Gram 3 Litre 4 Small cup with handle (Akendo) 5 Metre 6 Square metre 7 Yard 8 Millilitre 9 Sack (120 kgs) 10 Sack (100 kgs) 11 Sack (80 kgs) 12 Sack (50 kgs) 13 Sack (unspecified) 14 Jerrican (20 lts) 15 Jerrican (10 lts) 16 Jerrican (5 lts) 17 Jerrican (3 lts) 18 Jerrican (2 lts) 19 Jerrican ( 1 lt) 20 Tin (20 lts) 21 Tin (5 lts) 22 Plastic Basin (20 lts) 23 Bottle (750 ml) 24 Bottle (500 ml) 25 Bottle (350 ml) 26 Bottle (300 ml) 27 Bottle (250 ml) 28 Bottle (150 ml) 29 kimbo/Cowboy/Blueband Tin (2 kg) 30 Kimbo/Cowboy/Blueband Tin (1 kg) 31 Kimbo/Cowboy/Blueband Tin (0.5 kg) 32 Cup/Mug (0.5 lt) 33 Glass (0.25 lt) 34 Ladle (100g) 35 Table spoon 36 Tea spoon 37 Basket (20 kg) 38 Basket (10 kg) 39 Basket (5 kg) 40 Basket (2 kg) 41 Loaf ( 1 kg) 42 Loaf (500 g) 43 Buns (200 g) 44 Buns (100g) 45 Buns (50 g) 46 Bathing soap (Tablet) 47 Washing soap (Bar) 48 Washing soap (Tablet) 49 Packet (2 kg) 50 Packet (1 kg) 51 Packet (500 g) 52 Packet (250 g) 53 Packet (100 g) 54 Packet (unspecified) 55 FishWhole (Up to 1 kg) 56 FishWhole (1 2 kg) 57 FishWhole (Above 2 kg) 58 FishCut piece (Up to 1 kg) 59 FishCut piece (1 2 kg) 60 FishCut piece (Above 2 kg) 61 Tray of 30 eggs 62 Ream 63 Crate 64 Heap(Unspecified) 65 Dozen 66 Bundle (Unspecified) 67 Bunch (Big) 68 Bunch (Medium) 69 Bunch (small) 70 Cluster (unspecified) 71 Grourd (1 5 ltrs) 72 Gourd (5 10 lts) 73 Gourd (Above 10 lts) 74 Gologolo (4 5 lts) 75 Calabash (1 5 lts) 76 Calabash (Above 5 lts) 77 Jug (2 lts) 78 Jug (1.5 lts) 79 Jug (1 lt) 80 Tot (50 ml) 81 Tot (sachet) 82 Tot (unspecified) 83 Tobacco leaf (number) 84 Pair 85 Number of units (General) 86 Acre 87 Other Units (specify) 99 Missing Harvested no. of units Harvested no. of units Harvested no. of units Harvested no. of units Harvested no. of units Harvested no. of units household Harvest condition state code Harvest condition state code Harvest condition state code Harvest condition state code Harvest condition state code Harvest condition state code household 11 Green harvested with shell/cob and with stalk 12 Green harvested with shell/cob without stalk 13 Green harvested in the cob 14 Green harvested in the pods 21 Fresh/raw harvestedwith shell/cob and with stalk 22 Fresh/raw harvestedwith shell/cob without stalk 23 Fresh/raw havested in the cob 24 Fresh/raw harvested in pods 29 Fresh/raw harvestedstate not applicable 31 Dry at harvest with shell / cob and stalk 32 Dry at harvest with shell/cob without stalk 33 Dry at harvest in the cob 35 Dry at harvest grain 39 Dry at harvest - state not applicable 42 Dry after modifyitional drying with shell 43 Dry after modifyitional drying in the cob 45 Dry after modifyitional drying grain 49 Dry after modifyitional drying state not applicable 50 Dry parchment (pulped and fermented) 99 missing Sold unit code Sold unit code Sold unit code Sold unit code Sold unit code Sold unit code household 1 Kilogram (kg) 2 Gram 3 Litre 4 Small cup with handle (Akendo) 5 Metre 6 Square metre 7 Yard 8 Millilitre 9 Sack (120 kgs) 10 Sack (100 kgs) 11 Sack (80 kgs) 12 Sack (50 kgs) 13 Sack (unspecified) 14 Jerrican (20 lts) 15 Jerrican (10 lts) 16 Jerrican (5 lts) 17 Jerrican (3 lts) 18 Jerrican (2 lts) 19 Jerrican ( 1 lt) 20 Tin (20 lts) 21 Tin (5 lts) 22 Plastic Basin (20 lts) 23 Bottle (750 ml) 24 Bottle (500 ml) 25 Bottle (350 ml) 26 Bottle (300 ml) 27 Bottle (250 ml) 28 Bottle (150 ml) 29 kimbo/Cowboy/Blueband Tin (2 kg) 30 Kimbo/Cowboy/Blueband Tin (1 kg) 31 Kimbo/Cowboy/Blueband Tin (0.5 kg) 32 Cup/Mug (0.5 lt) 33 Glass (0.25 lt) 34 Ladle (100g) 35 Table spoon 36 Tea spoon 37 Basket (20 kg) 38 Basket (10 kg) 39 Basket (5 kg) 40 Basket (2 kg) 41 Loaf ( 1 kg) 42 Loaf (500 g) 43 Buns (200 g) 44 Buns (100g) 45 Buns (50 g) 46 Bathing soap (Tablet) 47 Washing soap (Bar) 48 Washing soap (Tablet) 49 Packet (2 kg) 50 Packet (1 kg) 51 Packet (500 g) 52 Packet (250 g) 53 Packet (100 g) 54 Packet (unspecified) 55 FishWhole (Up to 1 kg) 56 FishWhole (1 2 kg) 57 FishWhole (Above 2 kg) 58 FishCut piece (Up to 1 kg) 59 FishCut piece (1 2 kg) 60 FishCut piece (Above 2 kg) 61 Tray of 30 eggs 62 Ream 63 Crate 64 Heap(Unspecified) 65 Dozen 66 Bundle (Unspecified) 67 Bunch (Big) 68 Bunch (Medium) 69 Bunch (small) 70 Cluster (unspecified) 71 Grourd (1 5 ltrs) 72 Gourd (5 10 lts) 73 Gourd (Above 10 lts) 74 Gologolo (4 5 lts) 75 Calabash (1 5 lts) 76 Calabash (Above 5 lts) 77 Jug (2 lts) 78 Jug (1.5 lts) 79 Jug (1 lt) 80 Tot (50 ml) 81 Tot (sachet) 82 Tot (unspecified) 83 Tobacco leaf (number) 84 Pair 85 Number of units (General) 86 Acre 87 Other Units (specify) 99 Missing No. of units sold No. of units sold No. of units sold No. of units sold No. of units sold No. of units sold household Sold condition code Sold condition code Sold condition code Sold condition code Sold condition code Sold condition code household 11 Green harvested with shell/cob and with stalk 12 Green harvested with shell/cob without stalk 13 Green harvested in the cob 14 Green harvested in the pods 21 Fresh/raw harvestedwith shell/cob and with stalk 22 Fresh/raw harvestedwith shell/cob without stalk 23 Fresh/raw havested in the cob 24 Fresh/raw harvested in pods 29 Fresh/raw harvestedstate not applicable 31 Dry at harvest with shell / cob and stalk 32 Dry at harvest with shell/cob without stalk 33 Dry at harvest in the cob 35 Dry at harvest grain 39 Dry at harvest - state not applicable 42 Dry after modifyitional drying with shell 43 Dry after modifyitional drying in the cob 45 Dry after modifyitional drying grain 49 Dry after modifyitional drying state not applicable 50 Dry parchment (pulped and fermented) 99 missing Main buyer Main buyer Main buyer Main buyer Main buyer Main buyer household 1 Govt/LC 2 Private trader in local market 3 Private trader in district market 4 Consumer at market 5 Neighbour/relative 6 Other 9 Missing Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed Processed for sale/animal feed household Quantity given away Quantity given away Quantity given away Quantity given away Quantity given away Quantity given away household Quantity consumed by household Quantity consumed by household Quantity consumed by household Quantity consumed by household Quantity consumed by household Quantity consumed by household household Used for seed Used for seed Used for seed Used for seed Used for seed Used for seed household Currently in storage Currently in storage Currently in storage Currently in storage Currently in storage Currently in storage household Given to others Given to others Given to others Given to others Given to others Given to others household Region Region Region Region Region Region household 1 Central 2 Eastern 3 Northern 4 Western Quantity Harvested Quantity Harvested Quantity Harvested Quantity Harvested Quantity Harvested Quantity Harvested household Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity Sold household Quantity Consumed Quantity Consumed Quantity Consumed Quantity Consumed Quantity Consumed Quantity Consumed household Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage Quantity Currently in Storage household Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers Quantity Animalfeeds,givenaway,forseed,givenothers household weights weights weights weights weights weights household