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 Index-Based Livestock Insurance:
By Kevin Kidimu, Research Associate, International Livestock Research Institute Since independence, Kenya has grappled with collection of livestock market data. The livestock production department was established in 1987 and since then, the ministries of agriculture and livestock have been split and merged several times, negatively impacting the livestock subsector.…
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,…
RHoMIS was developed to efficiently collect a series of harmonized and standardized performance indicators at farm household level, especially targeting smallholder farmers in developing (or now maybe better: low income) countries.
The study quantifies the importance of off-farm income and market conditions across sites differing strongly in agroecology and derives generally applicable threshold values that determine whether farm households have enough food available to feed their families.
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.
A state-of-the-art lab at the International Livestock Research Institute (ILRI) enables scientists to measure emissions from a full range of sources in Kenya, including livestock; manure management systems; smallholder farms; and land uses such as forests, tea and timber plantations.