{"type":"survey","doc_desc":{"idno":"DDI_LBN_2023_VASYR_v01_M","producers":[{"name":"UN Refugee Agency","abbr":"UNHCR","affiliation":"UN","role":"Metadata producer"},{"name":"Development Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2025-06-17","version_statement":{"version":"Identical to a metadata (UNHCR_LBN_2023_VASYR_v2.1) published on UNHCR catalog (https:\/\/microdata.unhcr.org\/index.php\/home). Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"LBN_2023_VASYR_v01_M","title":"Vulnerability Assessment of Syrian Refugees in Lebanon, 2023","alternate_title":"VASYR 2023"},"authoring_entity":[{"name":"UN Refugee Agency","affiliation":"UN"},{"name":"World Food Programme (WFP)","affiliation":""},{"name":"UNICEF","affiliation":"UN"}],"distribution_statement":{"contact":[{"name":"Curation team","affiliation":"UNHCR","email":"microdata@unhcr.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]"},"version_statement":{"version":"Version 2.1: Edited, cleaned and anonymised data.","version_date":""},"study_info":{"keywords":[{"keyword":"VASyR","vocab":"","uri":""}],"topics":[{"topic":"Health","vocab":"","uri":""},{"topic":"Livelihood and Social cohesion","vocab":"","uri":""},{"topic":"Health and Nutrition","vocab":"","uri":""},{"topic":"Food security","vocab":"","uri":""},{"topic":"Water Sanitation Hygiene","vocab":"","uri":""},{"topic":"Protection","vocab":"","uri":""},{"topic":"Education","vocab":"","uri":""},{"topic":"Cash Assistance","vocab":"","uri":""},{"topic":"Income Generation","vocab":"","uri":""},{"topic":"Basic Needs","vocab":"","uri":""}],"abstract":"After more than ten years into the Syria conflict, Lebanon has found itself at the forefront of one of the worst humanitarian crises. The economic downturn, steep inflation, COVID-19 and other challenges have pushed vulnerable communities in Lebanon - including Syrian refugees - to the brink, with thousands of families sinking further into poverty.\nThe 2023 Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) was the eleventh annual survey assessing the situation of Syrian refugees in Lebanon to identify changes and trends in their vulnerabilities. Considering the prolonged socio-economic crisis in Lebanon, it was crucial to provide needs-based estimates on Syrian refugees in the country.\nThe Government of Lebanon estimated that 1.5 million of the 6.6 million Syrians who fled the conflict since 2011 moved to Lebanon. At the time of the survey, the Syrian refugee population in Lebanon was one of the largest concentrations of refugees per capita in the world.","coll_dates":[{"start":"2023-05-23","end":"2023-06-22","cycle":""}],"nation":[{"name":"Lebanon","abbreviation":"LBN"}],"analysis_unit":"Household","data_kind":"Sample survey data [ssd]","notes":"The scope includes:\n- household demographics\n- safety and security\n- accomodation\n- health\n- food security\n- livelihoods\n- expenditures\n- food consumption\n- coping strategies and assistance\n- education"},"method":{"data_collection":{"data_collectors":[{"name":"Caritas","abbr":"","role":"","affiliation":""},{"name":"MEDAIR","abbr":"","role":"","affiliation":""},{"name":"Makhzoumi Foundation","abbr":"","role":"","affiliation":""},{"name":"SHEILD","abbr":"","role":"","affiliation":""}],"coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The VASyR questionnaire collected data at the household level and individual level including demographics, legal documentation, safety and security, shelter, WASH, health, food security, livelihoods, expenditures, food consumption, debt, coping strategies and assistance, as well as questions specifically relating to women, children and people with disabilities.","weight":"Data collected through this assessment was weighted at the district level based on the population of refugees in each district. Weighting was necessary to ensure that the geographical distribution of the population was reflected in the analysis and to compensate for the unequal probabilities of a household being included in the sample. The normalized weight was calculated for each district using the following formula:\nNormalised weight = (total sample frame of the district\/ total national sample frame) \/ (total number of households visited in the district \/ total number of households visited)"}},"data_access":{"dataset_use":{"cit_req":"UNHCR, WFP, UNICEF (2023). Lebanon: Vulnerability Assessment of Syrian Refugees in Lebanon, 2023. 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