Metadata last updated on Dec 20, 2025
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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.
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Classification: Public
This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.
License: Creative Commons Attribution 4.0
This dataset is licensed under Creative Commons Attribution 4.0
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