{"type":"survey","doc_desc":{"idno":"DDI_UGA_2019_AAS_v01_M_v01_A_ESS_FAO","producers":[{"name":"Uganda Bureau of Statistics","abbr":"UBOS","affiliation":" ","role":""},{"name":"Food and Agriculture Organization","abbr":"FAO","affiliation":"United Nations","role":"Technical assistance on microdata documentation "},{"name":"Dissemination and Outreach Team, Statistics Division","abbr":"","affiliation":"Food and Agriculture Organization","role":"Metadata adapted for FAM"},{"name":"Development Economics Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"version_statement":{"version":"Identical to a metadata (UGA_2019_AAS_v01_EN_M_v01_A_ESS) published on FAO microdata repository (https:\/\/microdata.fao.org\/index.php\/catalog). Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"UGA_2019_AAS_v01_M_v01_A_ESS","title":"Annual Agricultural Survey 2019","alternate_title":"AAS 2019"},"authoring_entity":[{"name":"Uganda Bureau of Statistics (UBOS)","affiliation":"Government of Uganda"}],"production_statement":{"producers":[{"name":"Food and Agriculture Organization","abbr":"FAO","affiliation":"United Nations","role":"Technical Support"}],"copyright":"(c) 2020, Uganda Bureau of Statistics","funding_agencies":[{"name":"US Agency for International Development","abbr":"USAID","role":"Funding"},{"name":"50x2030 Initiative (www.50x2030.org)","abbr":"50x2030","role":"Technical and Financial Assistance"}]},"distribution_statement":{"contact":[{"name":"Uganda Bureau of Statistics","affiliation":"","email":"ubos@ubos.org","uri":"http:\/\/www.ubos.org\/"}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"The AAS 2019 survey was conducted with the support of the FAO, as part of the AGRISurvey Program. The Program promotes the adoption of an integrated and modular approach, namely the AGRIS method developed under the Global Strategy for the Improvement of Agricultural and Rural Statistics (GSARS)."},"version_statement":{"version_notes":"Due to a change in the survey questionnaire in between the first and second seasons of 2018, data collected during the two seasons are not perfectly comparable and have been treated separately. This DDI only refers to microdata collected during the second season of 2018. Microdata from the first season of the 2018 survey round will not be released"},"study_info":{"keywords":[{"keyword":"Agricultural production","vocab":"","uri":""},{"keyword":"Crop Yield","vocab":"","uri":""},{"keyword":"Livestock","vocab":"","uri":""},{"keyword":"AGRISurvey","vocab":"","uri":""},{"keyword":"Agricultural practices","vocab":"","uri":""},{"keyword":"Agricultural households","vocab":"","uri":""}],"topics":[{"topic":"Agricultural Production","vocab":"World Bank","uri":""},{"topic":"Economy","vocab":"World Bank","uri":""},{"topic":"Labour","vocab":"World Bank","uri":""}],"abstract":"The AAS is an integrated modular survey aiming to provide high quality and timely data on the performance of the Ugandan agricultural sector, as well as core indicators on crop and livestock for better agricultural policy making.\n\nData collection for the AAS is implemented in two waves, corresponding to the first (January-June) and second (July-December) seasons of the Ugandan agricultural year. For each season, households in the survey's sample are interviewed twice, during the Post-Planting (PP) period and the Post-Harvesting (PH) period. This results in a total of four visits during the agricultural year. \n\nAmong information collected with the AAS there is data on:\n- The quantity and value of agricultural production;\n- The access to extension services, market information and agricultural facility;\n- Livestock keeping and animal products production;\n- The socio-demographic characteristics of agricultural household members.\n\nThe collected data is used to produce a set of tables and indicators for tracking and evaluating the impacts of government and development programs on agriculture, and to compute SDG and CAADP indicators related to food and agriculture. For the main findings from the AAS 2019, see the Executive Summary of the AAS 2019 Report (see external resources\/downloads section).","coll_dates":[{"start":"2019-06-15","end":"2019-08-28","cycle":"First Season,Post-planting"},{"start":"2019-09-16","end":"2019-11-30","cycle":"First Season,Post-Harvest"},{"start":"2019-12-02","end":"2020-03-14","cycle":"Second Season,Post-planting"},{"start":"2020-03-05","end":"2020-10-17","cycle":"Second Season,Post-Harvest"}],"nation":[{"name":"Uganda","abbreviation":"UGA"}],"geog_coverage":"The AAS is a national survey representative at the regional, sub-regional and zardi level. The National territory has been divided in 10 ZARDIs which are aligned to 10 Agro-ecological zones in Uganda. Each agro-ecological zone includes districts with similar climate, land use and cropping patterns. The following are the 10 Zardis considered for the AAS:\n\n1) Abi: districts included are Arua, Nebbi, Moyo, Adjumani, Koboko, Yumbe, Maracha-Terego and Zombo;\n2) Buginyanya: districts included are Sironko, Mbale, Iganga, Jinja, Tororo, Mayuge, Namutumba, Namayingo, Luuka,Kamuli, Kaliro, Buyende, Bugiri, Pallisa, Kibuku, Butaleja, Busia, Budaka, Manafwa, Kween, Kapchorwa, Bulambuli, Bukwo and Bududa;\n3) Bulindi: districts included are Hoima, Masindi, Kiryandongo, Kibaale, and Buliisa;\n4) Kachwekano: districts included are Kabale, Rukungiri, Kanungu and Kisoro;\n5) Mukono: districts included are Mukono, Mpigi, Kayunga, Kalangala, Kampala, Luwero, Masaka, Nakasongola, Mubende, Wakiso, Nakaseke, Buikwe, Buvuma, Mityana, Kiboga, Kyankwanzi, Gombe, Kalungu, Bukomansimbi, Butambala and Lwengo;\n6) Ngetta: districts included are Lira, Apac, Dokolo, Lamwo, Nwoya, Agago, Albetong, Amolatar, Kole, Otuke, Oyam, Pader,Kitgum, Amuru and Gulu;\n7) Nabuin: districts included are Moroto, Nakapiripirit, Kotido, Napak, Amudat, Kaabong and Abim;\n8) Serere: districts included are Serere, Kumi, Bukedea Amuria, Ngora, Katakwi, Soroti and Kaberamaido;\n9) Mbarara: districts included are Mbarara, Ntungamo, Bushenyi, Kiruhura, Lyantonde, Sheema, Rubirizi, Mitoma,\nIsingiro,Ibanda, Buhweju, Sembabule, and Rakai;\n10) Rwebitaba: districts included are Bundubugyo, Kabarole, Kamwenge, Kasese, Kyegegwa, Kyenjojo and Ntoroko.\nBeing an urban area, Kampala has been excluded from the survey. Also Ntoroko district was not included in the sample.","analysis_unit":"Agricultural households (i.e. agricultural holdings in the household sector)","universe":"Agricultural households (i.e. agricultural holdings in the household sector)","data_kind":"Sample survey data [ssd]","notes":"The AAS 2019 collects data for the timespan of an agricultural year. The Ugandan Agricultural year is divided in two seasons, and, for each season, households are interviewed twice: during the post-planting and the post-harvesting periods. The questionnaire used during the post-planting season is called \"Form 4 - Crop Area Module\" and is organized as follows: - Section 4.1: Cover Page; - Section 4.2: Household Roster; - Section 4.3: Enterprise Identification; - Section 4.4: Parcel Roster; - Section 4.5: Plot Roster; - Section 4.6: Crop Roster. The questionnaire used for the post-harvesting visit is called \"Form 52- Crop Production, Household and Holding Characteristics Module\" and is organized as follows: - Section 5.1: Cover Page; - Section 5.2: Household Roster; - Section 5.3: Production and Dispositions of Crops; - Section 5.4: Agricultural Inputs; - Section 5.5: Production Activities and their Costs; - Section 5.6: Labour Input on the Holding; - Section 5.7.1: Cattle and Pack Animals; - Section 5.7.2: Small Ruminants; - Section 5.7.3: Poultry; - Section 5.8.1: Cattle and Pack Animals: Input Costs; - Section 5.8.2: Small Ruminants: Input Costs; - Section 5.8.3: Poultry: Input Costs; - Section 5.9.1: Cattle Meat; - Section 5.9.2: Small Ruminants Meat; - Section 5.9.3: Poultry Meat; - Section 5.9.4: Cattle Milk; - Section 5.9.5: Small Ruminants Milk; - Section 5.9.6: Eggs Production; - Section 5.9.7: Other Animal Products; - Section 5.10: Sources of Agricultural Information; - Section 5.11: Access to facilities; - Section 5.12: Transport Means; - Section 5.13: Storage Facilities; - Section 5.14: Access to Credit; - Section 5.15: Fixed Costs; - Section 5.16: Shocks and Food Security; - Section 5.17: Extension Services; - Section 5.18: Land Disputes."},"method":{"data_collection":{"sampling_procedure":"A two-stage sampling design was adopted for the AAS 2019. To increase the efficiency of the sample design, the sampling frame was stratified into 10 ZARDIs. In each stratum, the first stage was the selection of the Primary Sampling Unit (PSU), which is the EA (enumerator area) and the second stage was the selection of the Secondary Sampling Unit (SSU), which are the Ag HHs. The survey covered households cultivating crops and\/or raising livestock, including households that were cultivating a few crops or raising a limited number of animals. No minimum threshold on the amount of land cultivated or animals raised was set nor did the survey aim to generate estimates concerning aquaculture, forestry and fisheries.\n\nSample size\nThe survey generated national, regional and sub-regional level estimates. A sample of 593 EAs and an average of 12 Ag HHs were selected from each EA.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The AAS 2019 implemented two main questionnaires i.e. the Post-Planting, and Post-harvesting questionnaires. For each season, agricultural households are interviewed twice: during the post-planting and the post-harvesting visit. The questionnaire used during the post-planting season is called \"Form 4 - Crop Area Module\" and collects information on:\n\n1) Household member socio-demographic characteristics;\n2) Agricultural enterprises undertaken by the household in the current agricultural season;\n3) Land use (Parcel and plots used by the agricultural households) i.e. Access to land, land use rights, decision making, land area, seed\/seedlings utilization, etc. The main objective of this questionnaire is to estimate land areas for crops planted. This is done combining objective measurement (i.e., GPS) on plots and parcels and then collecting the share of land area covered by each crop on each plot (based on farmer's assessment). In addition, the questionnaire collects information on land tenure and use of agricultural inputs. This questionnaire contains a roster of household members, a roster of parcels, a roster of plots for each parcel and a list of crops by plot.\n\nThe questionnaire used for the post-harvesting visit is called \"Form 52- Crop Production, Household and Holding Characteristics Module\" and collects information on:\n\n1) Household member socio-demographic characteristics (only for new household members)\n2) Crop production and disposals\n3) Use of agricultural inputs for crop production\n4) Cost of labour used for crop production\n5) Labour input used on the agricultural household\n6) Animal raised on the holding\n7) Inputs used for livestock production\n8) Livestock production and dispositions\n9) Access to agricultural information\n10) Access to means of transportation\n11) Access to storage facilities\n12) Access to agricultural credit\n13) Fixed costs of the agricultural household\n14) Shocks and food security of the agricultural household\n15) Access to extension services\n16) Land disputes\n\nInformation 1-5 are collected in both first and second season while 6-16 is asked during the second season only. The main objective of this questionnaire is to collect data on crops harvested by agricultural households, based on farm declarations. In addition, the questionnaire collects information concerning the disposition of crops, labour input and use of inputs such as chemicals. Furthermore, it aims to collect livestock capital, animal production and inputs over a 12- month reference period, thus covering the entire agricultural year. The post-harvesting questionnaire also collects information concerning household and holding characteristics, such as access to market and agricultural information, household food security, shocks and their impact on food security etc.","sources":[{"name":"","origin":"","characteristics":""}],"act_min":"Data collection for the AAS 2018 was performed by 14 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection were tested and refined.\n\nDuring the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this was sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory.","weight":"Sampling weights are included in each microdata files.","cleaning_operations":"Supervision\n\nData collection for the AAS 2019 was performed by 15 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection were tested and refined. During the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this\nwas sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory."},"analysis_info":{"response_rate":"The response rate was about the 84%.","sampling_error_estimates":"The accuracy of the survey results depends on the sampling and the non-sampling errors. The AAS 2019 had a large enough and representative sample to limit sampling errors. On the other hand, the non-sampling errors, usually errors that arise during data collection, were controlled through thorough training of the data collectors, field supervision by the headquarters team, and a well-developed CAPI programme. The Coefficients of Variations (CVs) and Confidence Intervals (CIs) for selected indicators at national, ZARDI and sub-regional levels are presented in the Annex tables."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The AAS 2019 microdata has been adequately anonymized before dissemination. Confidentiality of respondents is guaranteed by Article 19 of the Uganda Bureau of Statistics Act , 1998. Before being granted access to the microdata files, all users have to formally agree and sign the UBOS microdata terms of use and conditions for scientific use files.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Uganda Bureau of Statistics (UBOS)","affiliation":"","email":"ubos@ubos.org","uri":"http:\/\/www.ubos.org\/"}],"cit_req":"Uganda Bureau of Statistics. Annual Agricultura Survey (AAS) 2019, Version 1.2 of the scientific use file, provided by the Uganda National Data Archive. www.ubos.org","conditions":"The AAS 2019 microdata are disseminated as Scientific Use File (SUF) to accredited users.","disclaimer":"Uganda Bureau of Statistics shall not be liable to users of its data and information or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation, or modification of the data."}}},"schematype":"survey","data_files":[{"file_id":"F14","file_name":"S1_PH_ACTIVITIES_clean1","description":"This data file contains production activities and their costs in the first season post harvest","case_count":"6775","var_count":"9","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F15","file_name":"S1_PH_CHEMICALS_clean_final1","description":"This file contains data on agricultural inputs 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