Yemen takes a major first step in reaching marginalized communities
SANA”A, April 15 - UNICEF in collaboration with the Social Welfare Fund (SWF) of the Ministry of Social Affairs and Labour (MoSAL), today launched the mapping of muhamasheen communities (locally known as Akhdam) in Taiz Governorate. This survey, which is expected to reach some 10,000 households, is the first of its kind in Yemen, specifically targeting the most marginalized population.
There is a dearth of information on this excluded population. However anecdotal evidence has highlighted huge inequities between muhamasheen communities and the average poor within Yemen. These communities are less likely to access basic social services such as health care, education, safe water, birth certificate or shelter.
Over a period of six weeks, the project will identify the geographic locations and key household characteristics amongst muhamasheen, including children. This first phase will cover an initial 9 of the 23 districts in Taiz Governorate. The second phase will include programmatic interventions guided by the results of the mapping. This will include awareness raising for families on ‘saving for children’, linking households to basic social services and social protection interventions such as cash transfers. The third phase will include establishing social accountability mechanisms that empower muhamasheen (adults and children) to claim their rights. The overall expected outcome is to promote social inclusion through ensuring continuous support for this group to demand and use social protection systems and participate in decision-making processes affecting them.
“I have seen muhamasheen communities that do not have water or latrines, where children do not go school and seldom visit health centres” says UNICEF’s Representative, Julien Harneis. “This survey will allow us to measure the size of the problem so that we can work together to resolve it”, Harneis emphasized.
The mapping exercise will be implemented by SWF in Taiz, with technical support from a national research institution. Forty-five (45) SWF staff members have been trained on automated data collection through the use of electronic tablets, which allows them to send household data right after completing field interviews.
For further information, please contact:
Mohammed Al-Asaadi, Communication