Joint Food Security Monitor
Nigeria, 774 areas, 2010-01-01 - 2025-11-01, version 2025-12-01

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Reference ID

NGA_2010-2025_JMR_v01_M

Producer(s)

Lomme, Mathijs, Andrée, Bo Pieter Johannes

Collection(s)

Real-Time Development Indicators (RTDI)

Metadata

DDI/XML JSON

Created on

Oct 20, 2025

Last modified

Dec 04, 2025

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996

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Reports

Working Paper: A Data-Driven Approach for Early Detection of Food Insecurity in Yemen's Humanitarian Crisis

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Author(s)	Steve Penson, Mathijs Lomme, Zacharey Carmichael, Alemu Manni, Sudeep Shrestha, Bo Pieter Johannes Andrée
Date	2024-05
Language	English
Description	Policy Research Working Paper on A Data-Driven Approach for Early Detection of Food Insecurity in Yemen's Humanitarian Crisis
Download	https://openknowledge.worldbank.org/entities/publication/b1239319-75d5-4331-ad52-00cf92382111

Policy Research Working Paper: Predicting Food Crises

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Author(s)	Bo Pieter Johannes Andrée, Andres Chamorro, Aart Kraay, Phoebe Spencer, Dieter Wang
Date	2020-08
Language	English
Description	Globally, more than 130 million people are estimated to be in food crisis. These humanitarian disasters are associated with severe impacts on livelihoods that can reverse years of development gains. The existing outlooks of crisis-affected populations rely on expert assessment of evidence and are limited in their temporal frequency and ability to look beyond several months. This paper presents a statistical forecasting approach to predict the outbreak of food crises with sufficient lead time for preventive action. Different use cases are explored related to possible alternative targeting policies and the levels at which finance is typically unlocked. The results indicate that, particularly at longer forecasting horizons, the statistical predictions compare favorably to expert-based outlooks. The paper concludes that statistical models demonstrate good ability to detect future outbreaks of food crises and that using statistical forecasting approaches may help increase lead time for action.
Download	https://documents1.worldbank.org/curated/en/304451600783424495/pdf/Predicting-Food-Crises.pdf

Policy Research Working Paper: Climate Shocks and Their Effects on Food Security, Prices, and Agricultural Wages in Afghanistan

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Author(s)	Tosin Gbadegesin, Bo Pieter Johannes Andrée, Ademola Braimoh
Date	2024-12
Language	English
Description	his study examines the effects of climate and weather shocks on Afghanistan's agricultural economy, with an emphasis on food security, prices, and wages. By utilizing a dynamical model and a unique data set that includes monthly global and local food prices, agricultural wages, unofficial exchange rates, and local climate data, the research provides econometric estimates of the impacts of droughts and floods. The findings reveal that both flooding and drought significantly increase food insecurity, directly and indirectly. Directly, these climatic shocks are linked to heightened risks of food insecurity in the following months, even when controlling for price and wage fluctuations. Indirectly, droughts and floods drive up food prices and depress agricultural wages, further exacerbating food insecurity. The study suggests that enhancing climate resilience in the agriculture sector could mitigate these risks, stabilize local food prices and wages, and strengthen food security and the broader agricultural economy. The results also show that price data effectively capture food security shocks from various non-economic sources, and can serve as a versatile monitoring tool in situations where detailed data on food security are unavailable
Download	https://documents1.worldbank.org/curated/en/099903212122414533/pdf/IDU-8ea67e26-7065-4cf2-842c-d1f2cfc6bedd.pdf

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