Background
As of August 2019, a total of 212,9361 , mostly Somali refugees resided in Dadaab refugee complex (Dagahaley, Hagadera and Ifo camps). Since May 2017, REACH has worked in collaboration with the Norwegian Refugee Council (NRC) and in support of humanitarian operational partners in Dadaab to provide information and guidance on developing tools and methodologies for data collection and data analysis in Dadaab refugee complex.
With continued conflict, instability and drought causing new displacement in Somalia, in addition to reduced humanitarian funding in Dadaab, there is a need to strengthen information on humanitarian needs and access to assistance and services in the camps.
This information will support the planning of immediate refugee responses and inform the development of long term response strategies including government-led Comprehensive Refugee Response Framework (CRRF) annual plans and county level development plans.
This situation overview presents findings of a multi-sector needs assessment conducted in September 2019 across the three camps2 of Dadaab refugee complex. It provides an analysis of refugee humanitarian needs, access to shelter, protection, food security, health, water, sanitation and hygiene (WASH) and livelihoods.
Methodology
This assessment was conducted through Household (HH) level interviews from 11 to 25 September 2019 in Dadaab refugee complex. A total of 376 HHs in Hagadera, 375 in Dagahaley and 374 in Ifo were interviewed.
The sample was selected through probability random sampling at camp level to fulfil 95% confidence level and 5% margin of error and was calculated based on the HH population of each camp. This level is guaranteed for all questions that apply to the entire surveyed population of each camp. Findings relating to a subset of the surveyed population may have a wider margin of error and a lower confidence level.
Data was collected during the day using mobile phones on the ODK collect platform and later on, the data was checked, cleaned and analyzed using Ms-excel.
To ensure randomness of the data, random GPS points were generated using ArcMap in the residential areas, which are clearly divided into blocks. Enumerators then accessed the random GPS points from their android phones using MAPinr, and they interviewed households that fell on particular points. In case there was no one to interview in the selected household, or the respondent was unwilling to participate, enumerators would target the next nearest household in a radius of 5 meters. If there was still no household to interview, then they would interview the household that falls on the next point.