{"doc_desc":{"title":"MMR_2023_DIEM_HS_R7_v01_M_v01_A_ESS","idno":"DDI_MMR_2024_DIEM_HS_R10_v01_M_v01_A_ESS_FAO","producers":[{"name":"Data in Emergencies Hub, Office of Emergencies and Resilience","abbr":"OER","affiliation":"Food and Agriculture Organization of the United Nations","role":"Metadata producer"},{"name":"Statistics Division","abbr":"ESS","affiliation":"Food and Agriculture Organization of the United Nations","role":"Metadata adapted for FAM"}]},"study_desc":{"title_statement":{"idno":"MMR_2024_DIEM_HS_R10_v01_M_v01_A_ESS","title":"Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 10, Myanmar, 2024","alternate_title":"DIEM HHS MMR R10 \u2013 2024"},"authoring_entity":[{"name":"Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience","affiliation":""}],"production_statement":{"producers":[{"name":"Data in Emergencies Hub, Office of Emergencies and Resilience","abbr":"DIEM Hub","affiliation":"Food and Agriculture Organization of the United Nations ","role":"Data processing and analysis"}],"funding_agencies":[{"name":"European Union","abbr":"EU","role":""},{"name":"Food and Agriculture Organization of the United Nations, Special Fund for Emergency\u00a0and Resilience Activities","abbr":"SFERA","role":""}]},"distribution_statement":{"contact":[{"name":"Data in Emergencies Hub, Office of Emergencies and Resilience","affiliation":"Food and Agriculture Organization of the United Nations","email":"DIEM-Hub-List@fao.org","uri":"https:\/\/data-in-emergencies.fao.org\/ "}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]"},"study_info":{"abstract":"The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). FAO launched Round 10 of the DIEM Monitoring household survey in Myanmar to assess rural livelihoods and food security. Data collection was conducted from 27 July to 20 August 2024 through computer-assisted telephone interviews (CATI), reaching 2552 households. The survey was representative at the state\/region (admin 1) level for 14 states and regions (excluding Nay Pyi Taw), though small sample sizes limited representativeness in Chin, Kachin, Kayah, and Rakhine states.\n\nFor more information, see https:\/\/data-in-emergencies.fao.org\/pages\/monitoring.","coll_dates":[{"start":"2024-07-27","end":"2024-08-20","cycle":""}],"nation":[{"name":"Myanmar","abbreviation":"MMR"}],"geog_coverage":"National coverage","analysis_unit":"Households","universe":"Entire population.","data_kind":"Sample survey data [ssd]","notes":"The survey collected information on the following areas:\n- HOUSEHOLD: household information \n- INCOME SOURCES, SHOCKS: income changes, shocks experienced by households \n- CROP PRODUCTION: crops planted, area planted, area harvested, crop production difficulties  \n- CROP MARKETING: crop sale difficulties, crop sale price \n- LIVESTOCK PRODUCTION: types of livestock present on holding, number of livestock, livestock production difficulties \n- LIVESTOCK MARKETING: livestock sale, livestock sale difficulties, livestock sale price \n- FISHERIES PRODUCTION: fish activity, comparison of fish production  \n- FISHERIES MARKETING: fish sale, fish sale difficulties, fish sale price \n- FOOD SECURITY AND CONSUMPTION: food consumption, food utilization, comping strategies \n- NEEDS ASSISTANCE: open questions on the needs for assistance"},"method":{"data_collection":{"sampling_procedure":"Surveys are designed based on country-specific needs, objectives, and constraints. They aim to achieve a 10 percent margin of error, a 95 percent confidence level, administrative-level granularity, and sufficient sample sizes for key target populations, including agricultural households.\n\nThe survey used a mixed sampling strategy involving re-contacting households from previous rounds and Random Digit Dialing (RDD). The sample was stratified by state\/region (admin 1) and designed to yield statistically reliable results at that level.","sampling_deviation":"While the target was 4600 households across Myanmar, the final number of completed interviews was 2552. The survey was not representative in Nay Pyi Taw and had limited representativeness in Chin, Kachin, Kayah, and Rakhine due to low sample sizes.","coll_mode":["Computer Assisted Telephone Interview [cati]"],"research_instrument":"A link to the questionnaire has been provided in the downloads tab.","sources":[{"name":"","origin":"","characteristics":""}],"weight":"Sampling weights were applied to correct for disproportionate stratification and ensure representativeness. Post-stratification adjustments were made based on: \n\n- Demographics (e.g. household size) \n- Engagement in agriculture \n- Wealth proxy (education level of household head) \n\nThese adjustments allowed for unbiased estimation of indicators and better alignment with the actual population distribution.","cleaning_operations":"The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub at the Office of Emergencies and Resilience, with some dashboards and visualizations produced. For more information, see https:\/\/data-in-emergencies.fao.org\/pages\/countries.\n\n**STATISTICAL DISCLOSURE CONTROL (SDC)**\nThe dataset was anonymized by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub and reviewed by the Statistics Division, using Statistical Disclosure methods in accordance with FAO Corporate Statistical Disclosure Control Protocol. All direct identifiers have been removed prior to data submission. For more information, see https:\/\/openknowledge.fao.org\/server\/api\/core\/bitstreams\/833ee200-0484-4f87-8f5c-b3fed4a3722b\/content."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Data in Emergencies Hub, Office of Emergencies and Resilience","affiliation":"Food and Agriculture Organization of the United Nations","email":"diem-hub-list@fao.org","uri":"https:\/\/data-in-emergencies.fao.org\/"}],"cit_req":"FAO. 2025. Data in Emergencies Monitoring Household Survey - Myanmar, Round 10, 2024. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.","conditions":"Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions: \n- The micro dataset will only be used for statistical and\/or research purposes; \n- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects; \n- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO; \n- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}