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FAO Hunger Map 2014








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    Book (series)
    2015 Regional Overview of Food Insecurity Latin America and the Caribbean: The Region has reached the international hunger targets 2015
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    In the last two decades, food and nutritional security have become an integral part of the political agenda of Latin America and the Caribbean, and the eradication of hunger and malnutrition is now a regional development objective. In 1990-92, Latin America and the Caribbean began the challenge of the Millennium Development Goals (MDGs) with 14.7% of its population affected by hunger. By 2014-16 this prevalence has fallen to 5.5% and the region has achieved the MDG hunger goal. The region also m et the goal of the World Food Summit (WFS) established in 1996, having reduced the total number of people suffering hunger to 34.3 million. Poverty has also declined from 2002 onwards, from 44% to 28%, although extreme poverty has risen in the last two years.
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    Regional Overview of Food Insecurity Asia and the Pacific 2016
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    The year 2015 marked the end of the global Millennium Development agenda and 2016 heralds a transition to the new 2030 agenda for Sustainable Development. Asia-Pacific Region not only met the MDG target of halving the proportion of people suffering from hunger, but was also the region with the largest reduction in the number of undernourished people in the world. Despite good progress being made by many countries in tackling malnutrition, the overall rate of progress is less than desired and the re are several countries and sub-regions where the prevalence rates are still very high. The analysis presented in this report will help encourage dialogue and shape a new public narrative towards eradicating hunger and malnutrition and creating a transformative change for sustainable development.

    Most governments are taking concrete actions to address the problem and there is a clear recognition of strengthening agriculture and food systems in a manner that brings more affordable, hea lthier and diverse food options within everyone’s reach.

    This report also introduces a special section which will focus on a different selected key issue or trend affecting food security and nutrition in the region each year. This year, the focus is on the importance of milk and smallholder dairy in view of the remarkable growth in the production and consumption of milk and milk products in the region. The section concludes that the promotion of milk consumption and small-scale dairying offe rs potential for triple wins in nutrition, rural livelihoods and the environment.

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    Refinements to the FAO methodology for estimating the prevalence of undernourishment indicator 2014
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    The FAO prevalence of undernourishment (PoU) indicator monitors progress towards Millennium Development Goal target 1C of halving, between 1990 and 2015, the proportion of people suffering from hunger. Estimates of the number of undernourished (NoU) - calculated by multiplying the PoU by the size of the reference population - are used to monitor progress towards the World Food Summit goal of reducing by half the number of people suffering from undernourishment. The PoU indicator is defined a s the probability that a randomly selected individual from the reference population is found to consume less than his/her calorie requirement for an active and healthy life. This paper reports on refinements to the methodology for estimating the Prevalence of Undernourishment that were adopted during the preparation of the State of Food Insecurity in the World Report 2014. The paper reviews the method adopted for selecting the functional form of the probability density function for the calculati on of the PoU, which uses a data-driven criterion. It proposes revised methods for estimating the variability (CV) and asymmetry (SK) parameters from available household survey, based on a leave-out-one cross validation approach. This approach is shown to be more conservative and stable across different country datasets than alternative methods. Following, the paper describes a regression approach for controlling for excess variability due to differences between food acquisition and consumptio n in surveys, which allows for a seasonality adjustment. Finally, the paper introduces an updated regression for computing variability measures in the absence of reliable household surveys, which incorporates the effect of food prices along with those of per capita income levels and inequality.

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