Mumbai, Indiafor a government / municipality
Conditional fit
Weighted to a government / municipality's priorities, Mumbai scores 59/100 — conditional fit. No OECD house-price valuation for India, so the property entry-window is not scored — AI-Home's DLD data fills this.
Sustainable urban growth — housing accessibility, services and quality of life, not price growth.
Scorecard — the factors this profile weights
| Factor | Weight | Score | Source |
|---|---|---|---|
| Housing affordability | 16% | 85 | seed |
| Health outcomes | 12% | 64 | ● live |
| Education | 12% | 58 | seed |
| Infrastructure | 12% | 55 | seed |
| Affordable cost of living | 12% | 56 | seed |
| Air quality | 10% | 28 | seed |
| Employment | 10% | 70 | ● live |
| Low climate risk | 8% | 38 | seed |
| Population growth | 8% | 62 | 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
- Housing affordability 85/100 · 16% weight
- Employment 70/100 · 10% weight
Why it may not
- Air quality 28/100 · 10% weight
- Low climate risk 38/100 · 8% 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 government / municipality on AI-Home ↗