AI Global Index — Decision Report

Mumbai, Indiafor a tourist / visitor

9 Sep 2026Methodology profiles-1.0.0Data confidence 66/1002 of 8 factors live
47
Market Fit
Monitor

Weighted to a tourist / visitor's priorities, Mumbai scores 47/100monitor. No OECD house-price valuation for India, so the property entry-window is not scored — AI-Home's DLD data fills this.

Experience, access, safety and total trip cost — short stay, so structural growth is irrelevant.

Scorecard — the factors this profile weights

FactorWeightScoreSource
Safety20%55seed
Tourism18%58seed
Big Mac affordability14%19● live
Affordable cost of living12%56seed
Mobility10%50seed
Air quality10%28seed
Low climate risk8%38seed
Health outcomes8%64● live

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

No standout strengths at this profile's weighting.

Why it may not

  • Big Mac affordability 19/100 · 14% weight
  • 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

Capital-appreciation investor66
Bank / mortgage lender65
Entrepreneur / startup65
Real estate developer63
Family buying a home61
Family office / institutional60
Government / municipality59
Rental-income investor55
Retail brand54
Business expansion49
Corporate professional49
Tourist / visitor47

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 tourist / visitor on AI-Home ↗