World Food Security Outlook - World

Abstract
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Key components of the WFSO database cover the [prevalence of severe food insecurity](https://data.worldbank.org/indicator/SN.ITK.SVFI.ZS), including estimates for countries lacking official data, population sizes of the severely food insecure, and required safety net financing. Data is presented in a user-friendly format.

WFSO data primarily relies on hunger and malnutrition data from the State of Food Security and Nutrition in the World (SOFI) report, led by the Food and agriculture Organization (FAO) in collaboration with multiple UN agencies. WFSO complements SOFI data by providing estimates for unreported countries. Historical estimates are produced with a [machine learning model](http://hdl.handle.net/10986/38139) leveraging [World Development Indicators](https://databank.worldbank.org/source/world-development-indicators) (WDI) for global coverage.

Financing needs for safety nets are calculated similarly to past approaches by the International Development Association (IDA) to assess food insecurity response needs ([IDA (2020)](https://documents1.worldbank.org/curated/en/775981606955884100/pdf/Responding-to-the-Emerging-Food-Security-Crisis.pdf) and [IDA (2021)](https://documents1.worldbank.org/curated/en/252271636587686210/pdf/IDA19-Mid-Term-Review-of-the-Crisis-Response-Window-Early-Response-Financing.pdf)). Preliminary estimates and projections rely on the same model and incorporate International Monetary Fund (IMF)'s [World Economic Outlook](https://www.imf.org/en/Publications/WEO) (WEO) growth and inflation forecasts. WEO data reflects the IMF's expert analysis from various sources, including government agencies, central banks, and international organizations.

Minor gaps in WDI data inflation data are replaced with unofficial WEO estimates. Minor inflation data gaps not covered by both, are replaced with unofficial inflation estimates from the World Bank's [Real Time Food Prices](https://microdata.worldbank.org/index.php/catalog/4509) (RTFP) data.

The WFSO is updated three times a year, coinciding with IMF's WEO and SOFI releases. It provides food security projections that align with economic forecasts, aiding policymakers in integrating food security into economic planning.

The WFSO database serves various purposes, aiding World Bank economists and researchers in economic analysis, policy recommendations, and the assessment of global financing needs to address food insecurity.

Additionally, the WFSO enhances transparency in global food security data by tracking regional and global figures and breaking them down by individual countries. Historical estimates support research and long-term trend assessments, especially in the context of relating outlooks to past food security crises.

Geographic coverage
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World

Geographic coverage notes
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191 countries and territories mutually included by the World Bank's WDI and IMF's WEO databases.

Analysis unit
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Country

Kind of data
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Process-produced data [pro]

摘要
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WFSO数据库的关键组成部分涵盖了[严重粮食不安全的发生率](https://data.worldbank.org/indicator/SN.ITK.SVFI.ZS)，包括缺乏官方数据的国家的估计值、严重粮食不安全的人口规模以及所需的安全网融资。数据以用户友好的格式呈现。

WFSO数据主要依赖于来自《世界粮食安全和营养状况报告》(SOFI)的饥饿和营养不良数据，该报告由联合国粮食及农业组织(FAO)牵头，与多个联合国机构合作。WFSO通过为未报告的国家提供估计值来补充SOFI数据。历史估计值是通过利用[世界发展指标](https://databank.worldbank.org/source/world-development-indicators) (WDI)进行全球覆盖的[机器学习模型](http://hdl.handle.net/10986/38139)产生的。

安全网融资需求的计算方法与国际开发协会(IDA)过去评估粮食不安全响应需求的方法类似([IDA (2020)](https://documents1.worldbank.org/curated/en/775981606955884100/pdf/Responding-to-the-Emerging-Food-Security-Crisis.pdf) 和 [IDA (2021)](https://documents1.worldbank.org/curated/en/252271636587686210/pdf/IDA19-Mid-Term-Review-of-the-Crisis-Response-Window-Early-Response-Financing.pdf))。初步估计和预测依赖于相同的模型，并纳入国际货币基金组织(IMF)的[世界经济展望](https://www.imf.org/en/Publications/WEO) (WEO)增长和通货膨胀预测。WEO数据反映了IMF从各种来源的专家分析，包括政府机构、中央银行和国际组织。

WDI数据中的轻微通货膨胀数据缺口由非官方的WEO估计值填补。未被两者覆盖的轻微通货膨胀数据缺口由世界银行[实时食品价格](https://microdata.worldbank.org/index.php/catalog/4509) (RTFP)数据中的非官方通货膨胀估计值填补。

WFSO每年更新三次，与IMF的WEO和SOFI发布同步。它提供与经济预测相一致的食物安全预测，有助于政策制定者在经济规划中整合食物安全。

WFSO数据库服务于多种目的，帮助世界银行经济学家和研究人员进行经济分析、政策建议以及对解决粮食不安全问题的全球融资需求进行评估。

此外，WFSO通过追踪区域和全球数据并按个别国家进行分解，增强了全球粮食安全数据的透明度。历史估计值支持研究和长期趋势评估，尤其是在将展望与过去的粮食安全危机相关联的背景下。

地理覆盖范围
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世界

地理覆盖范围备注
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由世界银行的WDI数据库和IMF的WEO数据库相互包含的191个国家及地区。

分析单位
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国家

数据类型
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过程生成数据 [pro]