Business analytics, Data and Analytics

0 reviews

I built Pan Africa Data to solve a problem I kept hitting in African financial institution advisory work — fragmented, hard-to-access data across World Bank WDI, IMF WEO, and UN sources, with no single clean layer covering the whole continent. What it does: - 100+ macroeconomic indicators for all 54 African countries, 2000–2035 (historical + forecasts) - Proprietary 5-class income distribution model for 509 cities — the only city-level income segmentation dataset for Africa I'm aware of - REST API + Excel/CSV on-demand downloads - Free explorer tier: Lesotho, Cabo Verde and Eswatini The income model fits log-normal distributions using World Bank Gini coefficients, calibrated to country-appropriate poverty lines. Forecasts use IMF WEO + World Bank MPO anchors with dampened trend extrapolation to 2035.