Forecasting Food Prices in Algeria — a macro-micro time-series analysis (2015–2025) combining local market prices and national indicators to explain and staple food inflation.
# Forecasting Food Prices in Algeria: A Macro-Micro Analytical Approach
## Project Background
Algeria, a North African country heavily reliant on food imports, has experienced a concerning rise in staple food prices in recent years. As a data analyst targeting public-sector economic research, I was curious in identifying **macro-level and micro-level contributors** to this inflation, with a focus on the following business-critical questions:
- Are Algeria’s increasing exports and decreasing imports tightening domestic food supply?
- Is domestic food production keeping up with demand and cost pressures?
- How is the Algerian Dinar's depreciation impacting food affordability?
By combining local commodity-level price data (e.g., rice, pasta, eggs) with national indicators like food production index, exchange rates, and import/export values, we can build a multi-layered picture of Algeria’s food economy.
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Insights and recommendations are provided across key areas:
- **Trade Dynamics and Food Supply**
- **Agricultural Production and Food Security**
- **Currency Depreciation and Import Costs**
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> The notebook used to clean the food supply data can be found here
> The notebook used to clean the indicators data can be found here
> The Dashboards can be found here
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# Data Structure & Initial Checks
This project is based on two key datasets:
- **Local Market Pricing Dataset (`food.csv`)**
Contains monthly prices for commodities (e.g., rice, pasta, eggs) across two Algerian markets from 2015–2025. _Source_
| Feature | Description |
| ------------- | ---------------------------------------------------------------------------- |
| **province** | The top-level administrative region within Algeria where data was collected. |
| **town** | The municipality or town within the province. |
| **market** | Name of the specific marketplace or bazaar. …