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.
The Rural Household Multiple-Indicator Survey is now filling knowledge gaps on how strategies to mitigate the effects of climate change, may intensify inequalities between men and women.
Read how the Rural Household Multiple-Indicator Survey (RHoMIS) was used to sample over 500 farming households from southern Tanzania to find the strongest performers.
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.
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.