Mumbai, Indiafor a corporate professional
Monitor
Weighted to a corporate professional's priorities, Mumbai scores 49/100 — monitor. No OECD house-price valuation for India, so the property entry-window is not scored — AI-Home's DLD data fills this.
Career opportunity and disposable income — what the salary actually buys after housing.
Scorecard — the factors this profile weights
| Factor | Weight | Score | Source |
|---|---|---|---|
| Net income | 18% | 5 | seed |
| Purchasing power | 16% | 39 | seed |
| Affordable cost of living | 12% | 56 | seed |
| Employment | 12% | 70 | ● live |
| Rent affordability | 10% | 89 | seed |
| Health outcomes | 10% | 64 | ● live |
| Safety | 10% | 55 | seed |
| Mobility | 8% | 50 | seed |
| Education | 4% | 58 | 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
- Employment 70/100 · 12% weight
- Rent affordability 89/100 · 10% weight
Why it may not
- Net income 5/100 · 18% weight
- Purchasing power 39/100 · 16% 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 corporate professional on AI-Home ↗