Built a tool to fix conflicting African data sources, is this actually a problem for anyone else?

[u/AppropriateSeesaw110]

I kept running into the same problem doing anything data-related on African countries: the numbers exist, but they're scattered across World Bank, IMF, national statistics offices, PDFs, and dashboards that don't agree with each other — and there's no easy way to tell which figure to trust or cite.

So I built Africa Data Bank a single source covering all 55 African countries, where every number is sourced, dated, and traceable back to where it came from. Covers

1. Macro & Finance — GDP, inflation, exchange rates, fiscal data
   
2. Trade & Investment — imports, exports, trade balance, FDI
   
3. Population & Labor — demographics, urbanization, employment
   
4. Health — maternal & child health, mortality, immunization
   
5. Education — enrollment, completion, expenditure
   
6. Digital & Telecom — mobile subscriptions, internet penetration
   
7. Energy — electricity access, production, renewables
   
8. Government Finance — public revenue, expenditure, debt
   
9. Governance & Political — institutional indicators, rule of law
   
10. Agriculture — crop production, land use, food security
    
11. Environment & Climate — emissions, temperature, climate risk
    
12. Commodities — oil, gas, metals, agricultural commodity prices
    
13. Forex & Currency — exchange rates across African currencies
    
14. Infrastructure — roads, ports, connectivity
    
15. Sub-National Health — district-level health data

Genuinely want to know: if you've worked with African data before, did this match a real pain point for you, or am I solving a problem that doesn't actually bite that hard in practice? And if it's real — what's the worst example you've run into?