{"doc_desc":{"title":"COD_2025_HFPS_v01_M_v01_A_ESS","idno":"DDI_COD_2025_HFPS_v01_M_v01_A_ESS_FAO","producers":[{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank Group","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":"COD_2025_HFPS_v01_M_v01_A_ESS","title":"Eastern DRC High Frequency Phone Survey 2025, Panel","alternate_title":"HFPS-EST 2025"},"authoring_entity":[{"name":"Dalberg Group","affiliation":""}],"production_statement":{"producers":[{"name":"World Bank Group","abbr":"","affiliation":"","role":"Collaborated in design, implementation, and analysis"}],"funding_agencies":[{"name":"World Bank Group","abbr":"","role":" Funded the survey and analysis"}]},"distribution_statement":{"contact":[{"name":"Development Data Group (DECDG)","affiliation":"World Bank Group","email":"data@worldbank.org","uri":""}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey [hh\/sems]","series_info":"The Eastern DRC High Frequency Phone Survey 2025 follows a panel sample of 2000 representative households from the Survey on Household Living Conditions (ECVM, Enqu\u00eate sur les Conditions de Vie des M\u00e9nages) 2024 conducted by the National Institute of Statistics (INS, Institute National de la Statistique) of the Democratic Republic of the Congo. The selected households are followed for a period of six months to assess the impact of the security situation on their living conditions."},"study_info":{"abstract":"The National Institute of Statistics (INS, Institute National de la Statistique) of the Democratic Republic of the Congo conducted the ECVM 2024 survey with the technical and financial support of the World Bank. The implementation of this survey was carried out using satellite images to constitute the sampling frame. This survey covered a sample of 23\u00a0040 households divided into 960 enumeration zones within 26 provinces across the country.\n\nIn late January 2025, the security crisis in the Democratic Republic of the Congo took a dramatic turn, when in its eastern part (the two provinces on North and South Kivus), the M23 rebellion took over the capital cities. Several questions were raised, including the socio-economic impact of the war on the well-being of the population. During these times of socio-economic upheaval, households are often impacted in terms of deterioration of living conditions. It is therefore important to assess the impacts that households experienced during this crisis by setting up a collection system via telephone. This is an innovative survey that is perfectly in line with the requirements related to a better monitoring\/evaluation system for development programs initiated by the authorities. To this end, the Eastern DRC High Frequency Phone Survey 2025 follows a panel sample of 2000 representative households from the ECVM 2024 survey for a period of six months to assess the impact of the security situation on their living conditions.","coll_dates":[{"start":"2025-05-15","end":"2025-06-07","cycle":"First round"}],"nation":[{"name":"Democratic Republic of the Congo","abbreviation":"COD"}],"geog_coverage":"Geographic coverage is limited to the 7 provinces in the Eastern part of the Democratic Republic of the Congo (Eastern DRC): North Kivu (27 percent), South Kivu (21 percent), Ituri (18 percent), Haut-Uele (10 percent), Tshopo (9 percent), Maniema (8 percent), Tanganyika (7 percent).","analysis_unit":"Households\nIndividuals","universe":"The survey covered only households in the sample of the Survey on Household Living Conditions (ECVM, Enqu\u00eate sur les Conditions de Vie des M\u00e9nages) 2024, specifically households with phone numbers.","data_kind":"Sample survey data [ssd]","notes":"The survey will cover various topics on rotational basis:\n1. Demographic and Migration\n2. Food Security\n3. Education\n4. Access to Services\n5. Employment\n6. Prices\n7. Well-being\n8. Impact"},"method":{"data_collection":{"time_method":"Panel survey","sampling_procedure":"The sampling frame was the Household Budget Survey 2024: A face-to-face survey conducted across the Democratic Republic of the Congo, which collected phone numbers of sampled households. The sample, comprising 2000 households, covers seven provinces: North Kivu, South Kivu, Ituri, Haut-Uele, Tshopo, Maniema, and Tanganyika. The Second round of panel comprises 1000 households.","coll_mode":["Computer Assisted Telephone Interview [cati]"],"research_instrument":"All the interview materials were translated in French and local languages. The questionnaire was administered by Dalberg in French and local languages with varying length (30-35 minutes) and covered the following topics:\n1. Demographic and Migration\n2. Food Security\n3. Education\n4. Access to Services\n5. Employment\n6. Prices\n7. Well-being\n8. Impact","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"The World Bank provided the database containing the phone numbers. Dalberg conducted the phone call with replacement until the target number of households was met.","act_min":"The collection and supervision was ensured by Dalberg.","weight":"The weights, already available from the ECVM 2024 survey, were not adjusted to take into account selection bias.","cleaning_operations":"At the end of data collection, the raw dataset was cleaned by Dalberg. This process included formatting and correcting results based on monitoring issues, enumerator feedback, and survey changes."}},"data_access":{"dataset_use":{"cit_req":"World Bank. Eastern DRC High Frequency Phone Survey of Households, 2025. Dataset downloaded from www.microdata.worldbank.org on [date].","conditions":"Before being granted access to the dataset, all users have to formally agree:\n- 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.\n- 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.\n- 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.","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"}