Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
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Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
This is the baseline dataset for the Farm and Family Balance Study. Sample consists of married sugarcane farmers associated with a large sugar company near Jinja, Uganda. All eligible farmers who agreed to participate are included.
This dataset is a follow-up for households who were visited during Feed the Future I (FtF) Ethiopia end-line Survey 2018 and who participated in land rental market in Tigray and Amhara regions.
These data are generated for the study conducted to evaluate a public extension program that integrates informational video screening with extension service provision to improve farmers’ knowledge and adoption of improved agricultural technologies
This dataset presents government expenditures by economic classification of expenses rather than by functional classification as it was the case in previous versions.
This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
These data are generated for the study conducted to evaluate a public extension program that integrates informational video screening with extension service provision to improve farmers’ knowledge and adoption of improved agricultural technologies
This is a replication data for the tables presented in the article, "Can transfers and complementary nutrition programming reduce intimate partner violence four years post-program?
C’est la Vie! is an education edutainment TV series developed and produced by the Réseau Africain pour l’Education à la Santé (RAES), a Senegalese non-governmental organization with support from UN partners. C’est la vie!
This dataset is a supplemental data to Mozambique’s National Agricultural Survey (TIA) 2014.
This dataset is a supplemental data to Feed the Future I (FtF) Ethiopia end-line Survey 2018.
Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition, breastfeeding and complem
This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Ghana.
Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition, breastfeeding and complem
This dataset includes information collected face-to-face from 1,014 civil society organization (CSO) leaders from 48 communes in rural and urban Mali during January -- March 2021. The goal of the CSO leaders' survey is two-fold.
Alive & Thrive (A&T) is an initiative that supports the scaling up of nutrition interventions to save lives, prevent illnesses, and contribute to healthy growth and development through improved maternal nutrition, breastfeeding and complem