From January 2020 onwards the entire RHoMIS system will be upgraded to version 1.6. This update will bring together the various elements of the toolkit into a coherent whole.
the Food Agriculture and Natural Resources Policy Analysis Network (FANRPAN) and ILRI are collaborating in the ‘Improving Dietary and Health Data for Decision-making in Agriculture and Nutrition Actions in Africa’ project, which is developing, evaluating and introducing cost-efficient and scalable solutions for measuring dietary intake and health indicators to track nutrition and health outcomes and their progress at community and national levels in Kenya.
Our RHoMIS work has led to a unique harmonised database of quantitative information on smallholder livelihoods in low and middle income countries (now containing interviews of more than 28,000 households in 31 countries). We are now in full force analysing these data to identify pathways towards food security, and underpin strategic studies trying to identify the drivers of diverse diets and possible trade offs between agricultural production intensification and key welfare indicators like gender equity.
Enumerators in the Comoros Islands are trained on the use of RHoMIS. They also give valuable input into how the data collection tool can be suited to the local context.
By January 2019, the Rural Household Multiple-Indicator Survey (RHoMIS) had been used to process data from over 21,000 rural households in 27 countries. Since inception, RHoMIS has seen rapid exponential increase in the number of households being interviewed.
Originally posted on Mazingira Centre:
The socio-economic conditions of Africa have continued to undergo massive and rapid transformation due to factors such as urbanization and population growth. The adverse effects of climate change on the continent have also intensified, necessitating the design of context-specific strategies to ensure food security and environmental sustainability. In this regard,…
A data revolution is quietly unfolding in sub-Saharan Africa and empowering sustainable development and resilience for a new generation of policymakers.
Variability in crop and pasture, whether caused by weather, natural disaster, pests and diseases, or political conflict, is arguably the greatest threat to resilience and food security in the Horn of Africa. At the same time, the building blocks of national statistical systems are weak and data challenges are a crushing reality in Africa.
To address this problem, a growing number of analysts are tackling so-called informational wastelands through open-access global and household datasets, pseudo-panels, spatial data analytics and communities of practice.