- Zambia: Cholera Outbreak - Oct 2017
- Southern Africa: Armyworm Infestation - Jan 2017
- Zambia: Cholera Outbreak - Feb 2016
- Southern Africa: Food Insecurity - 2015-2017
- Southern Africa: Floods - Jan 2015
- Zambia: Floods - Jan 2013
- Southern Africa: Floods - Jan 2011
- Southern Africa: Floods - Mar 2010
- Influenza A (H1N1) Pandemic - Apr 2009
- Southern Africa: Floods - Dec 2008
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The Global Hunger Index (GHI) is designed to comprehensively measure and track hunger globally and by country and region. Calculated each year by the International Food Policy Research Institute (IFPRI), the GHI highlights successes and failures in hunger reduction and provides insights into the drivers of hunger. By raising awareness and understanding of regional and country differences in hunger, the GHI aims to trigger actions to reduce hunger.
WaPOR: database dissemination portal and APIs
The FAO portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR) monitors and reports on agriculture water productivity over Africa and the Near East.
It provides open access to the water productivity database and its thousands of underlying map layers, it allows for direct data queries, time series analyses, area statistics and data download of key variables associated to water and land productivity assessments.
The impact of the 2015‒2016 El Niño weather phenomenon has been one of the most intense and widespread in the past one hundred years. The agriculture, food security and nutritional status of 60 million people around the globe is affected by El Niño-related droughts, floods and **extreme hot** and **cold weather**.
An estimated 1 million women live with obstetric fistula, a devastating consequence of prolonged obstructed labor, and thousands of new case develop each year. Life-restoring treatment for women with fistula is available at the health facilities on this map
This website allows you to explore how different scenarios of global greenhouse gas emissions and adaptation to climate change could change the geography of food insecurity in developing and least-developed countries. By altering the levels of future global greenhouse gas emissions and/or the levels of adaptation, you can see how vulnerability to food insecurity changes over time, and compare and contrast these different future scenarios with each other and the present day.