Welcome the to RHoMIS (Rural Household Multiple Indicator Survey) information webpage! This page gives you information on the tool, new updates, publications, and distributes new data sets that are open for general use.
For background information on RHoMIS you can also check out 2 presentations on youtube, https://www.youtube.com/watch?v=nbs2v8gsDdw&t=13s (a quick introduction to RHoMIS) and https://www.youtube.com/watch?v=QwMUxtFjxYk (which gives an overview of our research of the last few years, and the place of RHoMIS within this work; for some reason the first few minutes of the presentation were not recorded, so the video starts a bit abrupt!).
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. In 2015 the global community came together to sign multiple international agreements, including the Sustainable Development Goals (SDGs), United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement, and the Sendai Agreement for Disaster Risk Management, setting out explicit objectives to end hunger, combat climate change, and build resilient societies, amongst many other goals. In many of these agreements fighting poverty and improving the access to and consumption of healthy diets in a sustainable way is a key objective, and targets have been set that need to be achieved in the coming decades.
However, monitoring progress towards achieving these targets is not straightforward with a plethora of methods, indicators and analyses procedures available in the scientific literature. The lack of consistent and comparable data sets hampers our ability to measure change properly and to attribute change. We developed RHoMIS in order to:
1) contribute to the standardization of indicator sets and procedures for data collection and data analysis at smallholder farm household level;
2) develop time-, and thereby cost-, efficient tools that quantitatively link agricultural management and production options to income, food security and nutritional status;
3) use these tools to identify and track the different development pathways that can improve the income, food security and nutritional status of different groups of smallholder farmers, within and across sites in the developing world.
Special focus of our work is on creating a common database that quantitatively links agricultural management and production to their effects on food security, poverty and diets. We are especially interested how factors at farm household level (e.g., farm size, number of animals, farmer’s attitudes, household composition) and at regional level (e.g., socio-cultural factors, market access, population density, agro-ecology) shape these relationships.
This work started as a small-scale collaboration between scientists of the International Livestock Research Institute (ILRI) and the World Agroforestry Center (ICRAF), but has now expanded to a larger community of scientists and other people working in agricultural development.
On this page you will find links to information describing the tool, the survey tool and analysis files themselves, publications about results achieved with the tool, and, as time progresses, more and more data sets. The RHoMIS tool has been and is currently applied in more than 15 countries with data collected of more than 6000 smallholder farm households. These numbers will increase over time to generate a large data source to quantify how smallholder farm households are performing in terms of poverty, food security, gender equity, nutrition, productivity, income generation, diversification, intensification and sustainability at the moment, but also how these indicators are changing over time.
All tools (and a growing body of data) will be made publicly available and will be open to general use. If more support or information than what is supplied on this information webpage is needed you can contact us and we will give support. We will then, however, ask you to contribute the data that you collect to the overall database, thereby contributing to our overall, globally oriented, effort.
Mark van Wijk (ILRI)
Jim Hammond (ICRAF)