LBN_2019_VASYR_v01_M
Vulnerability Assessment of Syrian Refugees - 2019
Name | Country code |
---|---|
Lebanon | LBN |
Sample survey data [ssd]
Household and individual
v2.1: Edited, cleaned and anonymised data.
The scope includes:
Topic |
---|
Food security |
Livelihood & Social cohesion |
Basic Needs |
National coverage
The sampling frame used for VASyR 2019 was the total number of Syrian refugees in Lebanon known to UNHCR.
Name |
---|
United Nations High Commissioner for Refugees (UNHCR) |
WFP |
UNICEF |
The sample includes 4727 Syrian refugee households, and aims to be representative of the Syrian refugee families in Lebanon. A two-stage cluster approach was adopted 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. 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 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:
Normalised weight= (sample frame district/ total sample frame) / (number of houses visited in the district / total number of households visited)
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.
Start | End |
---|---|
2019-03-08 | 2019-05-03 |
Name |
---|
Caritas |
World Vision International |
Makhzoumi Foundation |
SHEILD |
Separate enumerator trainings were carried out in each operational region (Bekaa, Mount Lebanon, North and South) covering the data collection tool, contextual background, methodology and ethical considerations. The trainings were administered by UNHCR, WFP and UNICEF staff over the course of seven days, including two field test days. Data was collected and entered on electronic tablets by the enumerators during the interviews using Open Data Kit (ODK) software.
United Nations Refugee Agency Microdata Library
https://microdata.unhcr.org/index.php/catalog/215
Original Archive Study ID: DDI_UNHCR_LBN_2019_VASYR_v2.1
Cost: None
UNHCR, WFP, UNICEF (2019) Vulnerability Assessment of Syrian Refugees in Lebanon, UNHCR microdata library, https://microdata.unhcr.org
Name | Affiliation | |
---|---|---|
Curation team | UNHCR | microdata@unhcr.org |
DDI_LBN_2019_VASYR_v01_M
Name |
---|
UNHCR |
2021-05-05
Version 1 (May 2021). This version is identical to UNHCR DDI ID: UNHCR_LBN_2019_VASYR_v2.1, except the following edits were made:
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