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.
A recent peer-reviewed article explorse the occurrence and implications of ‘imperfect’ farm household survey data.
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.