Wanjiru-1/kenya-youth-dashboard

# Kenya Youth Opportunity Dashboard 🇰🇪 **Analyzing youth employment, education access, and digital connectivity across Kenya's 47 counties to identify investment priorities for economic inclusion.** ## 📊 Project Overview This interactive dashboard presents a data-driven analysis of three critical metrics affecting Kenya's youth: 1. **Youth Unemployment Rate (%)** - Percentage of youth (15-34) without employment 2. **Education Access (%)** - Secondary education completion rate by county 3. **Digital Connectivity (%)** - Internet access and digital literacy metrics The analysis reveals significant regional disparities and identifies high-opportunity counties for youth economic interventions. ## 🎯 Key Findings ### National Averages (Across 47 counties) - **Average Youth Unemployment:** 20.2% - **Average Education Access:** 58.4% - **Average Internet Connectivity:** 40.5% ### Top Investment Priorities (Highest Unemployment) 1. **Mandera** (29.5% unemployment) - Urgent intervention needed 2. **Wajir** (28.9%) - Severe skills gap, lowest internet access (19%) 3. **Samburu** (28.4%) - Pastoral economy, education access at 38% ### Model Counties (Best Practices - Lowest Unemployment) 1. **Kiambu** (11.5% unemployment) - Strong education (82%), high connectivity (72%) 2. **Nairobi** (12.5%) - Urban advantage, highest internet access (78%) 3. **Nyeri** (13.2%) - Balanced development across all metrics ### Critical Insights - **Strong Education-Employment Correlation:** Counties with higher education access show significantly lower unemployment rates - **Digital Divide:** Northern counties (Mandera, Wajir, Isiolo) have <25% internet access, limiting job market participation - **Regional Clustering:** Central highlands (Kiambu, Muranga, Nyeri) outperform arid regions across all metrics ## 🛠️ Technology Stack - **Frontend:** HTML5 + Vanilla JavaScript - **Visualization:** Plotly.js (interactive charts & choropleth maps) - **Data:** Synthetic county-level distribution …