Monthly food price estimates by product and market - Yemen, Rep.

Abstract
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Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes
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The data cover the following sub-national areas: Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Raymah, Al Hudaydah, Hajjah, Amran, Shabwah, Dhamar, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan, Market Average

摘要
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食品价格通胀是制定经济政策的重要指标，但传统的消费者价格来源在危机期间往往存在延迟，并且仅以汇总水平呈现。这可能导致对农村或贫困地区的实际价格趋势反映不佳，而这些地区居住着大量处于脆弱状况的人口。
本数据集包含食品价格估计值，旨在帮助深入理解价格发展趋势，超越传统方法所能正式测量的范围。估计值是通过机器学习方法生成的，该方法对持续的次国家级价格调查进行插补，其准确性通常与直接测量价格相似。该数据集为研究当地价格动态提供了新的机遇，尤其是在人口对局部价格冲击敏感且传统数据不可用地区。
此外，对于本模型练习涵盖的所有国家，还提供了一份按月汇总的食品价格通胀估计值数据集。
地理覆盖范围说明
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数据涵盖了以下次国家级地区：Al Dhale'e、Aden、Al Bayda、Al Maharah、Lahj、Al Jawf、Raymah、Al Hudaydah、Hajjah、Amran、Shabwah、Dhamar、Ibb、Sana'a、Al Mahwit、Marib、Hadramaut、Sa'ada、Amanat Al Asimah、Socotra、Taizz、Abyan、市场平均价。