Maps & Infographics
Headlines (last 30 days)
- UNICEF: Angola's drought takes heavy toll on children's education. 2 Oct 2019
Most read reports
- AfDB: Angola: African Development Bank approves $1 million grant to children’s food and nutrition security programs. 19 Oct 2019
- EC-JRC: GDO Analytical Report: Drought in southern Angola - October 2019. 22 Oct 2019
- UNICEF: Where drinking water is a 90-minute walk away. 2 Oct 2019
- Govt. Angola: WHO and UNICEF reiterate support for routine vaccination in Angola. 19 Oct 2019
- WHO: Angola conducts review and validation of data on Neglected Tropical Diseases. 9 Oct 2019
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 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.
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.