Our analyses draw on a number of different household datasets collected by different organisations from around the world. We often combine household datasets for meta-analyses. This allows us to gain a broader perspective of the trends and patterns of farming systems in households of different size, location, farming practices and income. Understanding the drivers of these trends is critical to be able make an impact in these areas.
The datasets we use are a mix of open access and private. Here is a sample of some of the datasets we draw on for our analyses.
|Afrint I & II||
Afrint collects household level data for approximately 4000 smallholder farms to establish a baseline through survey data. From this baseline, assessments are made on the patterns of change among these households. These include linkages between farm and non-farm sources of livelihood as well as gendered patterns of access to income both within and outside agriculture.
The initial phase (Afrint I) started in 2002 and aimed to look at the possibilities for an Asian style Green Revolution in nine countries in Sub-Saharan Africa. The second phase (Afrint II) was launched in 2008 and aimed to trace patterns of change among these households.
IMPACTLite is a household survey which has been implemented in 15 benchmark sites in 12 countries across East Africa, West Africa and South Asia, between 2011 and 2014, managed by the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS). The IMPACTLite data helps to capture the diversity of farming activities and characterises the main agricultural production systems in these sites.
The dataset includes information on:
|Crop Small Ruminant Project (CORAF)||
CORAF is a household survey of more than 960 crop and small ruminant farmers in Ghana, Benin, Gambia and Mali. The household survey focussed on characterising the crop-sheep and goat value chain, by
The baseline information generated by these surveys has been used for project progress and impact assessments.
|N2Africa||N2Africa is a nitrogen fixation project assisting smallholder farmers in Africa to grow legume crops. By 2019 the project aims to have tailored and adapted legume technologies to close yield gaps and reduce yield variability in target countries, build local expertise, provide opportunities for low socio-economic households, address gender disparities and reach more than 550,000 farmers. The baseline survey was undertaken for 3403 households across Ghana, Nigeria, Rwanda, DRC, Kenya, Malawi, Mozambique and Zimbabwe in 2011.|
|CEEPA||The Centre for Environmental Economics and Policy in Africa (CEEPA) survey aims to gather information about farming systems across different agro-climatic zones in Africa. The survey was undertaken on 9500 households across Burkina Faso, Cameroon, Ghana, Niger, Senegal, Egypt, Ethiopia, Kenya, South Africa, Zambia and Zimbabwe. The project aims to characterise the farming systems in these households to assess their ability to cope with short and long-term climate change and extreme weather events.|
The Sustainable Intensification of Maize and Legume Systems for Food Security in Eastern and Southern Africa (SIMLESA) project aims to improve the production of maize and legumes to ensure food security. The project aims to reach 650,000 small farm holders over a ten year period, across Ethiopia, Kenya, Tanzania, Malawi and Mozambique.
|Living Standards Measurement Study (LSMS), Ethiopia Rural Socioeconomic Survey (ERSS)||
The Living Standards Measurement Study (LSMS) is a household survey program focussed on generating high-quality data, improving survey methods, and building capacity for eight partner countries in Sub-Saharan Africa. The LSMS aims to facilitate the use of household survey data for evidence-based policy making.
Rural Socioeconomic Survey (ERSS) strengthens the production of household-level data on agriculture. The project aims to improve agriculture statistics and the link between agriculture and other household activities. The ERSS is a nationally representative survey of 3,969 households living in rural and village areas in Ethiopia. Data collection was focussed on rural areas and covered all regional states except the capital city, Addis Ababa. The survey consists of three rounds of visits to the households.
|CCAFS baseline surveys||
Through its partners, the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) conducted baselines at household, village and organisational levels across the five target regions of West Africa, East Africa, South Asia, Latin America and Southeast Asia over the period 2011-2014. These surveys will be repeated in 2017-2018 and again in 2022-2023 so that the impacts of the CCAFS program can be quantified at target sites. The household baseline data are used by several organisations with a particular interest in cross-site comparisons. All data, publications and questionnaires are publicly available on CCAFS Dataverse website.
|Rural Household Multi-Indicator Survey (RHoMIS)||The Rural Household Multi-Indicator Survey (RHoMIS) is a rapid, affordable, digital farm household-level survey and analytical engine for characterising, targeting and monitoring agricultural performance. RHoMIS captures information describing farm productivity and practices, nutrition, food security, gender equity, climate and poverty. Since it was developed in 2015, RHoMIS has been used in Central America; West, East and Central Africa; and South and Southeast Asia to characterise more than 7,000 farm households. RHoMIS is developed by a team of researchers from the International Livestock Research Institute (ILRI), the World Agroforestry Center (ICRAF), and Bioversity International. For further information please refer to Fraval et al. 2019 or Hammond et al. 2017.|