Lebanon - Vulnerability Assessment of Syrian Refugees in Lebanon, 2018

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Source UNHCR, WFP, UNICEF
Contributor
Date of Dataset April 16, 2018-May 04, 2018
Updated 27 May 2021
Expected Update Frequency Never
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Methodology

Kind of Data: Sample survey data [ssd]
Unit of Analysis: The sampling frame used for VASyR 2018 was the total number of Syrian refugees known to UNHCR as of February 2018. A total of 855 cases were not considered part of the sampling frame due to missing addresses.
Sampling Procedure: The sample includes 4446 Syrian refugee households, and aims to be representative of the Syrian refugee families in Lebanon. A two-stage cluster approach was adpoted using the sampling frame of the total number of Syrian refugees known to UNHCR of February 2018. A total of 855 cases were not considered part of the sampling frame due to missing addresses. 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. The sampling strategy accounted for the need to generate results that are representative on a district, governorate and national level. As such, districts were considered as the geographical level within which 30 clusters were selected. There are 26 districts in Lebanon, where Beirut and Akkar each represent a district and a governorate. As such, to ensure representativeness of these two districts as governorates, an additional two cluster samples were considered for each. The primary sampling unit was defined as the village level (i.e. cluster) and UNHCR cases served as the secondary sampling unit. A case was defined as a group of people who are identified together as one unit (usually immediate family) under UNHCR databases. Villages were selected using 'probability proportionate to size,' and 30 clusters/villages were selected with four replacement clusters per district.
Data Collection Mode: Face-to-face [f2f]

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