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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Ranking of cities in India for 2026. Bengaluru leads with a cost index of 132 and rent of ₹25,000/month.
Ranking of cities in India for 2026. Bengaluru leads with a cost index of 132 and rent of ₹25,000/month.
Bengaluru ranks #1 with a cost index of 132 and rent of ₹25,000/month.
Average cost index across these cities: 105 (+12 vs national average of 93).
Average quality of life: 52/100. Top: Bengaluru at 50/100.
Safest city: Bengaluru (58/100 safety score).
Here's where the conversation shifts from 'affordable' to 'strategic': Bengaluru stands out as the top-ranked city in this analysis. With a cost index of 132 and median income of ₹8,50,000, it offers competitive value despite costs slightly above the national median. Financially, that's significant.
On quality of life, Lucknow leads with a composite score of 54/100 — reflecting its safety (55), healthcare (62), and walkability (38) metrics. Pair that with the housing data, and the pattern sharpens. affordability and QoL don't always move in the same direction, and India is a good example of that tension.
Bengaluru — cost index 132, rent ₹25,000/mo, income ₹8,50,000, QoL 50/100.
Lucknow — cost index 78, rent ₹10,000/mo, income ₹4,00,000, QoL 54/100.
The country average QoL score is 57/100. Bengaluru leads with 50/100, reflecting its safety, healthcare access, walkability, and green space.
Our index is benchmarked to 100 (national median). Sub-categories cover housing, food, transport, utilities, and healthcare. Data sources include MoSPI CPI, RBI, NHB RESIDEX, PLFS.
Bengaluru (ranked #1) has a cost index of 132 and rent of ₹25,000/mo. Lucknow (#2) has index 78 and rent ₹10,000/mo — a 54-point gap.
This analysis uses data from MoSPI CPI, RBI, NHB RESIDEX, PLFS to rank cities in India. The cost of living index is benchmarked to 100 (national median). Quality of life scores combine safety, healthcare, walkability, air quality, green space, and transit metrics. Salary ranges use national occupation data adjusted for local cost differences. Data is updated regularly to reflect current market conditions.