The Food Security Simulator is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks on food security and people’s diets.
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The Food Security Simulator is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks on food security and people’s diets.
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.
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.
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.
The first round of the Myanmar Household Welfare Survey (MHWS)–a nationwide phone panel consisting of 12,100 households–was implemented between December 2021 and February 2022.
his data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
This data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
This data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
This data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
This data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
This data was collected by IFPRI as part of the World Bank-funded project (Fadama III–Additional Financing (AF II) phase II ) that was implemented in North-Eastern Nigeria.
Ethiopia has made efforts to tackle the challenges of low crop and livestock productivity and degradation of land resources through various rural development strategies.
This dataset is the result of the household/pregnant women (PW) survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Reproductive, Mate
This is the third round of the Bangladesh Integrated Household Survey (BIHS).
The Feed the Future Phase One Zone of Influence (ZOI) Endline Survey was implemented by IFPRI through Bangladesh Integrated Household Survey (BIHS) 2018-2019.
This dataset is the result of the household survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.