Monthly food price inflation estimates by country - Afghanistan, Armenia, Bangladesh...and 33 more

Abstract
---------------------------

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.

Geographic coverage notes
---------------------------

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

食品价格通胀是制定经济政策的重要指标，但传统消费者价格来源在危机期间往往存在延迟，并且仅以综合水平进行编制。这可能导致对农村或贫困地区的实际价格趋势反映不足，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，旨在帮助深入了解传统方法无法正式测量的价格发展趋势。这些估计值采用机器学习方法生成，通过补充地方性价格调查，通常与直接测量价格具有相似的准确性。该数据集为研究人口对局部价格冲击敏感且传统数据不可得的地区的本地价格动态提供了新的机会。

地理覆盖范围说明

数据覆盖以下地区：阿富汗、亚美尼亚、孟加拉国、布基纳法索、布隆迪、喀麦隆、中非共和国、乍得、刚果（金）、刚果（布）、冈比亚、几内亚、几内亚比绍、海地、印度尼西亚、伊拉克、肯尼亚、老挝人民民主共和国、黎巴嫩、利比里亚、利比亚、马拉维、马里、毛里塔尼亚、莫桑比克、缅甸、尼日尔、尼日利亚、菲律宾、塞内加尔、索马里、南苏丹、斯里兰卡、苏丹、叙利亚阿拉伯共和国、也门共和国。