An interactive Power BI dashboard analyzing GDP growth, poverty reduction, informal employment, and foreign direct investment across 6 West African countries over 24 years — designed to support economic policy analysis, NGO strategy, and development finance decisions.
Economic development in West Africa is uneven, complex, and often poorly visualized. This project provides a multi-country, longitudinal view of key economic indicators — making it easier for analysts, policymakers, and development organizations to:
- Compare GDP trajectories across coastal vs. landlocked economies
- Track poverty reduction progress from 2000 to 2023
- Understand the structural weight of informal employment by country
- Isolate the economic impact of global crises (2008–2009 financial crisis, 2020 COVID-19)
- Correlate GDP levels with poverty rates across 6 ECOWAS nations
| Indicator | Value |
|---|---|
| Average GDP across 6 countries | ~$8.16 billion USD |
| Average GDP growth rate | ~0.70% per year |
| Average poverty reduction (2000–2023) | ~6.85 percentage points |
| Highest informal employment | Niger (~89%) |
| Lowest informal employment | Senegal (~56%) |
| Most consistent GDP growth | Côte d'Ivoire |
1. Coastal economies outperform landlocked ones consistently Benin, Côte d'Ivoire, Senegal, and Togo show higher and more stable GDP growth than Niger and Burkina Faso — driven by port access, trade diversification, and stronger FDI attraction.
2. Global crises hit the poorest countries hardest The 2008–2009 financial crisis and the 2020 COVID-19 shock created visible dips across all 6 economies — but recovery speed was significantly faster in countries with larger formal sectors.
3. Informal employment is the structural challenge of the region With 56% to 89% of workers in the informal sector depending on the country, formal job creation remains the single biggest lever for sustainable poverty reduction in West Africa.
| Step | Tool |
|---|---|
| Data simulation | Python (csv, random) |
| Data cleaning & transformation | Power Query (Power BI) |
| Data modeling | DAX measures |
| Visualization | Power BI Desktop |
Data source: Dataset modeled after World Bank Open Data and UNDP Human Development Reports. Indicators follow standard definitions used in development economics (GDP in constant USD, headcount poverty ratio at $2.15/day PPP, ILO informal employment definition).
Countries covered: Benin 🇧🇯 · Burkina Faso 🇧🇫 · Côte d'Ivoire 🇨🇮 · Niger 🇳🇪 · Senegal 🇸🇳 · Togo 🇹🇬
├── eco_afrique_ouest_v2.csv # Dataset (144 rows, 10 variables)
├── dashboard_preview.png # Dashboard screenshot
├── dashboard_eco.pbix # Power BI dashboard file
└── README.md # Project documentation
| Column | Description |
|---|---|
Pays |
Country name |
Région |
Coastal or Landlocked |
Année |
Year (2000–2023) |
PIB_milliards_USD |
GDP in billions USD |
Taux_croissance_PIB_% |
Annual GDP growth rate (%) |
Taux_pauvrete_% |
Poverty headcount ratio (%) |
Taux_chomage_% |
Unemployment rate (%) |
Emploi_informel_% |
Informal employment share (%) |
IDE_%_PIB |
Foreign direct investment as % of GDP |
Crise_mondiale |
Global crisis year (Oui/Non) |
- Download
dashboard_eco.pbixand open with Power BI Desktop (free) - Use the Pays filter to focus on one or more countries
- Use the Année slider to zoom into a specific period
- Toggle Crise_mondiale to isolate crisis vs. normal years
- Hover over data points in the scatter plot to identify country-specific patterns
| Project | Description | Link |
|---|---|---|
| 🌾 Food Security Dashboard | Food insecurity monitoring across 12 departments of Benin | View → |
| 🌍 Portfolio | All projects and skills | View → |
** Gbeho Patrick Alloumon** Webmaster & Junior Data Analyst — Cotonou, Benin 🇧🇯
I specialize in building data dashboards and web solutions for organizations across West Africa — combining local context expertise with international data standards.
- 🌍 Open to remote collaboration worldwide
- 💼 Available for freelance projects, NGO partnerships, and data consulting
- 🔗 Portfolio · GitHub · LinkedIn
This project is open source under the MIT License. Feel free to fork, adapt, and build upon this work — credit appreciated.