Chad Mobilizes National Coordination for Livestock Herder and Nomadic Population Census (RGPH-3)
Chad has convened a national coordination meeting in N'Djamena to support, monitor, raise awareness, and mobilize livestock herders and nomadic populations for the third General Census of Population and Housing (RGPH-3). The meeting was officially opened by the National Coordinator, Advisor Mahamat Saleh Abdeldjelil. This initiative underscores the government's commitment to accurately counting these often hard-to-reach demographic groups. The RGPH-3 aims to provide crucial data for effective policy-making and resource allocation. Special attention is being given to ensuring the participation of nomadic communities, who are vital to the country's economy and cultural heritage. The national coordination body will work to overcome logistical challenges and ensure comprehensive coverage across the territory. This census is a critical step towards better understanding Chad's population dynamics and planning for future development. The successful enumeration of herders and nomads is expected to inform strategies for livestock management, land use, and social services provision. The event signifies a concerted effort to gather essential demographic information for national planning.
The mobilization of a national coordination body for the RGPH-3 census in Chad highlights the logistical and demographic challenges inherent in enumerating nomadic and pastoralist populations. This effort reflects a strategic imperative to capture data essential for inclusive development planning, particularly concerning resource allocation for livestock management and social services. The success of such a census hinges on effective engagement with these communities, requiring culturally sensitive approaches and robust logistical support to overcome geographical barriers. From a systems perspective, accurate demographic data for all segments of society, including mobile populations, is foundational for responsive governance and equitable policy implementation in the coming decade. Failure to adequately count these groups can perpetuate data gaps, leading to under-resourced programs and potentially exacerbating existing socio-economic disparities.
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