Mumbai, Indiafor a rental-income investor
Conditional fit
Weighted to a rental-income investor's priorities, Mumbai scores 55/100 — conditional fit. No OECD house-price valuation for India, so the property entry-window is not scored — AI-Home's DLD data fills this.
Stable, sustainable rental cash flow — priced sensibly, with real tenant demand and cheap financing.
Scorecard — the factors this profile weights
| Factor | Weight | Score | Source |
|---|---|---|---|
| Rent-to-price (yield proxy) | 22% | 15 | seed |
| Inbound migration | 14% | 30 | seed |
| GDP growth | 12% | 100 | ● live |
| Cheap credit (low rates) | 12% | 86 | seed |
| Employment | 10% | 70 | ● live |
| Population growth | 10% | 62 | seed |
| Governance / title security | 10% | 55 | seed |
| Low overall risk | 10% | 66 | seed |
Live = World Bank / UNODC / OECD / The Economist (dated). Seed = illustrative pending a licensed feed. Market Fit renormalizes by weight, so it is comparable 0–100.
Why it works
- GDP growth 100/100 · 12% weight
- Cheap credit (low rates) 86/100 · 12% weight
- Employment 70/100 · 10% weight
- Low overall risk 66/100 · 10% weight
Why it may not
- Rent-to-price (yield proxy) 15/100 · 22% weight
- Inbound migration 30/100 · 14% weight
Property entry-window
Valuation not covered. OECD publishes no house-price series for India, so AGI will not fabricate an over/undervaluation. Demand 73, financing 86 shown instead. Pair with AI-Home's DLD-verified district data.
The same market, every profile
Mumbai ranks best for a capital-appreciation investor (66) and worst for a tourist / visitor (47). Suitability, not popularity.
Next: the actual properties
This report is the macro decision — which market, for whom. For the districts, projects, yields and DLD-verified transactions in Mumbai:
View Mumbai listings for a rental-income investor on AI-Home ↗