Datasets

CIMMYT Ethiopia

Projecting Food Demand in 2030 and 2050: Can Uganda Attain the Zero Hunger Goal?

LSMS-ISA 2010-11, LSMS-ISA 2013-14, and LSMS-ISA 2015-16 of Uganda

• aggregate-data
• agricultural-sciences
• dataset
• demand
• +6 more

CIMMYT Ethiopia

Characterization of maize producing households in drought prone regions of Eastern Africa

Agriculture in eastern Africa is predominantly rainfed and maize is a major food crop, primarily produced for home consumption and the market by small-scale family farms. The study characterized farm households in the drought prone maize growing areas of eastern Africa synthesizing data from parallel household surveys in Ethiopia, Kenya, Uganda and Tanzania. The study provides a comparative analysis of the farm households’ assets, livelihood strategies and crop management practices, with an emphasis on maize and maize seed. This illustrates how farmers in a similar agro-ecological environment but with different socio-economic and institutional settings have variously adapted to living with drought and how the inherent weather risk co-determines the livelihood portfolio, agricultural intensification incentives and system development pathways. The study thereby illustrates the challenges for agricultural intensification in such drought prone environments and the scope for drought tolerant maize varieties and explores the research and development implications.

CIMMYT Ethiopia

Using a Video-based Product Ranking Tool (VPRT) as a basis for maize market segmentation in Kenya and Uganda in 2022

The maize data was collected in 2022 from small-scale farmers in the districts of Mubende and Mityana in Uganda, and the counties of Kakamega and Bungoma in Kenya. The sample size consists of 2,422 small-scale farmers. Farmer profiling questions cover various topics, including: Socio-demographic Information: Variables such as gender, age, family size, and education. Farm Information: Details about farm size, crops grown, animals kept, input usage, and key income sources. Maize Farming Variables: Aspects such as seed purchase, cropping system, seed volume, plot size, harvest volume, and usage. The data also includes the process of identifying and selecting preferred maize seed varieties, presented in video format. For the video data collection, product descriptions were developed into videos featuring presentations by both a male and a female seed multiplicator. Each farmer was randomly shown three of the eight videos available, utilizing an incomplete block design. In total, 7,266 video presentations were made to the 2,422 farmers.