Publications
Monitoring, Food Security Analysis
24 July 2015
  • With the onset of the lean season, the consistent improvements in coping seen over the last five months came to a halt in Liberia and Sierra Leone. Overall, negative coping levels were higher in Guinea than in Liberia or Sierra Leone.
  • In Liberia, coping levels were most severe in the South East and in Bong County. The highest levels of negative coping in Gu inea were repor ted in Nzerekore region in Guinea.
  • In Liberia and Sierra Leone heavy rains were deteriorating road access.
  • Food prices remained relatively stable in Sierra Leone and Liberia at national levels while manual labour rates and terms of trade rose in Liberia and some parts of Sierra Leone. 
Monitoring, Food Security Analysis
9 July 2015

An El Nino event active since March 2015 will almost certainly last through 2015 and is likely to extend into early 2016. 
The intensity of this event is increasing with a peak expected in the last quarter of 2015 and there is a significant chance that it may become one of the strongest events of the past 30 years.
The timing of the event means that it will influence all growing seasons of the northern hemisphere (broadly from May to October) as well as those of equatorial regions (Horn of Africa, Indonesia) of late 2015 and of southern Africa and South America from late 2015 to early 2016. 
The possible impacts are wide ranging and generally negative in countries facing food insecurity.

Monitoring, Food Security Analysis
6 July 2015

The WFP Seasonal Monitor examines satellite imagery of rainfall and vegetation in order to assess the development of the growing season and how such conditions might impact the lives and livelihoods of the resident populations. Real time satellite data streams and seasonal forecasts are analyzed to highlight potential developments that may be of  humanitarian concern.

This Seasonal Monitor webpage provides real time satellite data streams and seasonal forecasts to highlight changes in the progression of the agricultural season that may be of concern. This analysis is also presented in Power Point and report format.

Monitoring, Food Security Analysis
30 June 2015

The Global Food Security Update provides an overview of the food security trends in 57 countries in six regions and offers an outlook for the 3-6 months following its release. It is based on food security monitoring reports, updates from WFP’s regional and country-based Vulnerability Analysis and Mapping (VAM) units and a review of secondary information.

Monitoring, Food Security Analysis
31 May 2015
  • Liberia is officially Ebola-free, but the virus continues to spread in Sierra Leone.
  • Consistent with past trends, Liberia and Sierra Leone saw statistically significant improvements in coping in May. Geographically, the biggest improvements are seen in Bong County, Liberia and in the districts of Kambia and Port Loko in Sierra Leone.
  • Food prices in both countries were stable compared to the previous month. Wage rates remain stable in Liberia and increase slightly in Sierra Leone.
  • Analysis of food security perceptions show a more positive trend in both countries in May compared to April 2015.
Market Analysis, Monitoring, Food Security Analysis
31 May 2015

WFP’s food security analysis/VAM service is actively monitoring the food security situation across the three primary countries affected by Ebola: Guinea, Sierra Leone and Liberia. Various assessments are ongoing to better understand the impact of the crisis on food markets and households’ food security. Such information is critical for informing governments’ policies and programmes and the broader humanitarian response.

Baseline Assessments, Coping Strategies, Crop and Food Assessments, Crop Production, Emergency Assessments, Food Consumption, Initial Assessment, Livelihoods, Livestock Prices, Market Analysis, Monitoring, National Capacity, Population Numbers and Sampling, Qualitative Analysis, Refugees and IDPs, Terms of Trade, Urban Food Insecurity, Food Security Analysis
25 May 2015

The Food Security Analysis factsheet provides key information on the various aspects of Vulnerability Analysis and Mapping work at WFP, the different assessment tools, specific initiatives and key facts for 2015.

Monitoring, Food Security Analysis
30 April 2015
  • In April, fewer households used negative coping strategies in Sierra Leone, notably in the districts of Kailahun/Kono and Bombali/Tonkolili/Koinadugu. The highest levels of negative coping are seen in the Ebola-affected districts of Kambia and Port Loko. In Liberia, use of negative coping strategies remained stable.
  • Poorer households in Sierra Leone resorted more to negative coping strategies in April than in March.
  • National food prices remained stable in both countries. However, the price of imported rice, local rice and palm oil increased significantly in Lofa, Liberia.
  • Wage rates were stable in Sierra Leone, while Liberia experienced seasonal wage decrease of 3 percent. Stable food prices meant that purchasing power remained the same in Sierra Leone and fell by 3 percent in Liberia.
Monitoring, Food Security Analysis
30 April 2015
  • In April, fewer households used negative coping strategies in Sierra Leone, notably in the districts of Kailahun/Kono and Bombali/Tonkolili/Koinadugu. The highest levels of negative coping are seen in the Ebola-affected districts of Kambia and Port Loko.
  • Poorer households resorted to more negative coping strategies in April than in March.
  • National food prices and wage rates remained stable.
  • Significant market disruptions continue.
Monitoring, Food Security Analysis
31 March 2015
  • Imported and local rice prices increased modestly in March. A recovery in economic activity is leading to an improvement in unskilled wage rates (up 7 percent compared to February).
  • The households who are depending the most on negative coping strategies are in the districts of Kailahun, Kono, Bombali, Tonkolili and Koinadugu.
  • March data continues to show that negative coping strategies are most frequently used by the poorest households, by those living in Ebola-affected rural areas and by households headed by women.