Monthly Food Prices in the Gaza Strip from 2007 to 2025
by Zelingher, Rotem / Replication - War Food Prices Gaza·Updated 1mo ago
Available on 1 platform
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Description
Gaza Strip monthly retail prices for nine staple commodities, including bread, chicken meat, and rice, from January 2007 to February 2025. The dataset supports a study analyzing conflict-induced price shocks and structural market changes following the Israel-Gaza conflict that began in October 2023. Data were processed using R scripts, with missing values imputed via linear interpolation or ARIMA models.
Use Cases
Modeling conflict-induced price shocks based on monthly time-series data for nine commodities.
Analyzing differential price responses between locally produced and imported goods to supply chain disruptions.
Forecasting food price trends in conflict-affected regions using the provided R scripts and processing workflows.
Identifying structural breaks in market dynamics for staple foods over an 18-year period.
Strengths
Covers a long time span of over 18 years, from January 2007 to February 2025.
Includes prices for nine key commodities, enabling comparative analysis.
Distinguishes between locally produced and imported goods, a feature mentioned in the description.
Provides documented R scripts for data access, processing, and replication of the analysis.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for specific modeling tasks.
Description metadata is limited; actual data quality and completeness require manual inspection after download.
Provenance
Source
Public repositories including FAO FPMA, World Bank, and CBS, as referenced in the description.
Collection Method
Data were cleaned, merged, and processed using a series of R scripts, with outputs saved as .RData files.
Time Range
January 2007 to February 2025
Freshness
Last updated 2026-05-02 14:26:08; freshness should be verified.
Geography
Gaza Strip
Data access and processing require R and the provided scripts; users must download the latest datasets using embedded links.