ElvinNtarindwaMugisha/rwanda-electricity-analysis

Analysis of Rwanda's electricity access trends (2009–2025) using Python, pandas, and matplotlib — exploring national growth rates, urban–rural gaps, and off-grid solar expansion with an interactive HTML dashboard. # Rwanda Electricity Access Trends (2009–2025) A data analytics project examining Rwanda's electricity access expansion over 15 years — one of the fastest electrification journeys in Africa. This project covers national access trends, the urban–rural gap, off-grid solar growth, and the policy milestones that drove acceleration. --- ## Live Dashboard Open `Rwanda_Electricity_Dashboard.html` in any browser to explore the interactive charts, or view the PDF report for the full written analysis. --- ## Project Structure ``` rwanda-electricity-analysis/ │ ├── Rwanda_Electricity_Dashboard.html # Interactive dashboard (open in browser) ├── Rwanda_Electricity_Access_Analysis.pdf # Full written report with tables & charts ├── rwanda_electricity_analysis.py # Python analysis script └── README.md ``` --- ## Key Findings - **75%** of Rwandan households had electricity access by 2024, up from just **6% in 2009** - Rwanda ranked **3rd in Africa** for electrification speed between 2010 and 2020 (11th globally) - **25%** of total household connectivity now comes from off-grid solar systems (~850,000 households) - The **urban–rural gap** narrowed from 53 percentage points (2010) to 47pp (2022) as solar home system programmes scaled - **2023** recorded the largest single-year gain ever: **+13.3 percentage points** - The only recorded decline was **2020 (−1.4pp)**, linked to COVID-19 disruptions - As of July 2025, total connectivity stands at **84.6%** (59.6% on-grid + 25% off-grid solar) --- ## Tools & Skills Demonstrated | Area | Tools / Methods | |---|---| | Data wrangling | Python, pandas | | Visualisation | matplotlib, Chart.js (HTML dashboard) | | Statistical analysis | Year-on-year change, CAGR, trend analysis | | Reporting | ReportLab (PDF generation) | | Dashboard | HTML, CSS, JavaScript | --- ## Data Sources All data used in this project is from official, publicly available sources: - **World Bank** — SDG 7.1.1 Electrification Dataset (ESMAP / trac …