Vulnerability Assessment of Syrian Refugees in Arsaal - 2019 - Lebanon

Abstract
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The Vulnerability Assessment for Syrian Refugees in Lebanon Arsaal, was conducted jointly by the United Nations Children’s Fund (UNICEF), United Nations High Commissioner for Refugees (UNHCR) and the United Nations World Food Programme (WFP, dataviz.vam.wfp.org). Now in its seventh year, the Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) assesses a representative sample of Syrian refugee families to identify changes and trends in their situation. The Government of Lebanon estimates that the country hosts 1.5 million of the 6.7 million Syrians who have fled the conflict since 2011 (including nearly one million registered with UNHCR as of end of September 2019). VASyR Arsaal is an addition to the 2019 VASyR, containing a representative sample of Syrian Refugee households in Arsaal.

Geographic coverage
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Arsaal

Analysis unit
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Household and individual

Universe
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The sampling frame used for VASyR 2019 was the total number of Syrian refugees in Arsaal known to UNHCR.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sample includes 328 Syrian refugee households, and aims to be representative of the Syrian refugee families in Arsaal. A two-stage cluster approach was adpoted using the sampling frame of the total number of Syrian refugees known to UNHCR. Using the “30x7” two stage cluster scheme, originally developed by the World Health Organization, 30 clusters per geographical area and seven households per cluster are used to provide a precision of +/- 10 percentage points. Arsaal was selected due to its specific situation which differs from other refugee hosting communities.

Mode of data collection
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Face-to-face [f2f]

Research instrument
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The questionnaire included key information on household demographics, arrival profile, registration, protection, shelter, WASH, assets, health, education, security, livelihoods, expenditures, food consumption, coping strategies, debts and assistance, as well as infant and young feeding practices.

Cleaning operations
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After the completion of data collection, raw data was shared with the VASyR Core Group to review inconsistencies and mistakes that could not be identified during the collection phase. Some of these errors required calling households back to validate and correct the data collected. Each agency was asked to provide the team in charge of clean-up with a list of identified issues and recommendations on how to proceed with the clean-up. A copy of the original raw data was saved. Any modification to the data was scripted in SQL providing a step by step audit trail from the raw data leading to the final dataset used for analysis

{'Abstract': '摘要', '---------------------------': '', 'The Vulnerability Assessment for Syrian Refugees in Lebanon Arsaal, was conducted jointly by the United Nations Children’s Fund (UNICEF), United Nations High Commissioner for Refugees (UNHCR) and the United Nations World Food Programme (WFP, dataviz.vam.wfp.org). Now in its seventh year, the Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) assesses a representative sample of Syrian refugee families to identify changes and trends in their situation. The Government of Lebanon estimates that the country hosts 1.5 million of the 6.7 million Syrians who have fled the conflict since 2011 (including nearly one million registered with UNHCR as of end of September 2019). VASyR Arsaal is an addition to the 2019 VASyR, containing a representative sample of Syrian Refugee households in Arsaal.': '在联合国儿童基金会（UNICEF）、联合国难民事务高级专员公署（UNHCR）和联合国世界粮食计划署（WFP，dataviz.vam.wfp.org）的联合实施下，针对黎巴嫩Arsaal地区叙利亚难民的脆弱性评估已进入第七年。黎巴嫩脆弱性评估叙利亚难民（VASyR）旨在对叙利亚难民家庭的代表性样本进行评估，以识别其状况的变化和趋势。黎巴嫩政府估计，该国接纳了自2011年冲突以来逃离的670万叙利亚人中的150万人（截至2019年9月底，其中近100万人已在联合国难民署登记）。VASyR Arsaal作为2019年VASyR的补充，包含了对Arsaal地区叙利亚难民家庭的代表性样本。', 'Geographic coverage': '地理覆盖范围', 'Arsaal': 'Arsaal', 'Analysis unit': '分析单位', 'Household and individual': '家庭和个人', 'Universe': '总体', 'The sampling frame used for VASyR 2019 was the total number of Syrian refugees in Arsaal known to UNHCR.': 'VASyR 2019所使用的抽样框架是联合国难民署所知的Arsaal地区叙利亚难民的总体数量。', 'Kind of data': '数据类型', 'Sample survey data [ssd]': '样本调查数据[ssd]', 'Sampling procedure': '抽样程序', 'The sample includes 328 Syrian refugee households, and aims to be representative of the Syrian refugee families in Arsaal. A two-stage cluster approach was adpoted using the sampling frame of the total number of Syrian refugees known to UNHCR. Using the “30x7” two stage cluster scheme, originally developed by the World Health Organization, 30 clusters per geographical area and seven households per cluster are used to provide a precision of +/- 10 percentage points. Arsaal was selected due to its specific situation which differs from other refugee hosting communities.': '样本包括328户叙利亚难民家庭，旨在代表Arsaal地区的叙利亚难民家庭。采用了联合国难民署所知的叙利亚难民总数的两阶段聚类抽样方法。采用世界卫生组织最初开发的“30x7”两阶段聚类方案，每个地理区域30个聚类，每个聚类7户家庭，以提供±10个百分点的精度。Arsaal因其特定情况与其他难民接待社区不同而被选中。', 'Mode of data collection': '数据收集方式', 'Face-to-face [f2f]': '面对面[f2f]', 'Research instrument': '研究工具', 'The questionnaire included key information on household demographics, arrival profile, registration, protection, shelter, WASH, assets, health, education, security, livelihoods, expenditures, food consumption, coping strategies, debts and assistance, as well as infant and young feeding practices.': '问卷包括家庭人口统计学、到达概况、登记、保护、住所、卫生设施、资产、健康、教育、安全、生计、支出、食物消费、应对策略、债务和援助，以及婴幼儿喂养实践的关键信息。', 'Cleaning operations': '清理操作', 'After the completion of data collection, raw data was shared with the VASyR Core Group to review inconsistencies and mistakes that could not be identified during the collection phase. Some of these errors required calling households back to validate and correct the data collected. Each agency was asked to provide the team in charge of clean-up with a list of identified issues and recommendations on how to proceed with the clean-up. A copy of the original raw data was saved. Any modification to the data was scripted in SQL providing a step by step audit trail from the raw data leading to the final dataset used for analysis': '数据收集完成后，原始数据与VASyR核心组共享，以审查在收集阶段无法识别的不一致和错误。其中一些错误需要重新联系家庭以验证和纠正收集到的数据。要求每个机构向负责清理的团队提供已识别的问题清单和关于如何进行清理的建议。保存了原始原始数据的副本。对数据的任何修改都通过SQL脚本进行，从而提供了从原始数据到用于分析的最终数据集的逐步审计跟踪。'}