AmiinBoss/Food-price-somalia-
Domain:
agriculturesocioeconomicRecord type:
dataset
Creator:
Ami
Host:
this project is about the prices of food in somalia from 1995 up to now
# Somalia Food Price Analysis (1995–2023)
This project analyzes nearly three decades of food price data from markets across Somalia to uncover trends, volatility, and regional disparities affecting food security. The work combines data cleaning, visualization, and statistical analysis to inform humanitarian and policy decision-making.
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## 📊 Project Overview
Somalia faces chronic food insecurity driven by conflict, drought, and dependence on food imports. Understanding price dynamics is vital for early warning and intervention. Using a dataset of over 25,000 monthly price records for staple foods from 1995–2023, this analysis:
* Cleans and processes the raw data
* Visualizes price distributions and time trends
* Compares urban (Mogadishu) vs. rural market behavior
* Highlights volatility and crisis periods (famine, drought, global shocks)
* Extracts actionable insights for food security planning
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## 🗂️ Dataset
* **Source:** World Food Programme (WFP) Price Database (via Kaggle/HDX)
* **Observations:** 25,040 (reduced to \~23,400 after cleaning)
* **Variables:**
* Date (monthly)
* Region, District, Market name
* Commodity & Unit (e.g., sorghum, rice, oil, kg/liter)
* Price (local currency)
* Urban/Rural classification
* **Coverage:** All regions of Somalia, 1995–2023, nominal prices (SOS/SLS)
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## ⚙️ Data Cleaning
* Checked and confirmed **no missing values or duplicates**
* Removed extreme outliers using the IQR rule (\~6.6% of records)
* Converted date and price fields to appropriate data types
* Added “Urban”/“Rural” classification for region-based analysis
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## 🔍 Exploratory Data Analysis & Visualizations
* **Price Distribution:** Rural markets experience greater price volatility and higher spikes than Mogadishu (urban).
* **Time Trends:** Strong upward trend in nominal food prices, especially post-2006.
* **Volatility:** 12-month rolling standard deviation reveals increasing instability in prices, peaking during known crisis years (2008, …