The Rural Household Multiple Indicator Survey (RHoMIS) has been used to access and analyse data collected from 13,000-plus households from 21 countries.
Originally posted on ILRI news:
Key indicator groups (modules) generated by all RHoMIS applications (Fig. 1 from: The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries). Out this week is the first public release of a huge dataset generated by recent surveys of more than 13,000 households in 21 countries…
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.
At last month’s (9–13 Sep 2019) 9th Multi-Stakeholder Partnership Meeting of the Global Agenda for Sustainable Livestock (GASL), James Hammond, farming systems analyst at the International Livestock Research Institute (ILRI), presented on how ILRI researchers and partners are addressing the scarcity of data describing the functioning of smallholder farms in sub-Saharan Africa and beyond.
Originally published on the RHoMIS blog. Sam Adams, describes his experience training enumerators to be able to apply the Rural Household Multi-Indicator Survey (RHoMIS) in Uganda.
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.