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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Ranking of cities in Andhra Pradesh for 2026. Visakhapatnam leads with a cost index of 82 and rent of ₹10,000/month.
Ranking of cities in Andhra Pradesh for 2026. Visakhapatnam leads with a cost index of 82 and rent of ₹10,000/month.
Visakhapatnam ranks #1 with a cost index of 82 and rent of ₹10,000/month.
Average cost index across these cities: 82 (-11 vs national average of 93).
Average quality of life: 61/100. Top: Visakhapatnam at 61/100.
Safest city: Visakhapatnam (65/100 safety score).
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Visakhapatnam | 82 | ₹10,000 | ₹4,20,000 |
Here's where the conversation shifts from 'affordable' to 'strategic': Visakhapatnam stands out as the top-ranked city in this analysis. With a cost index of 82 and median income of ₹4,20,000, it offers below-average costs relative to the rest of India. This combination is rare — and valuable.
On quality of life, Visakhapatnam leads with a composite score of 61/100 — reflecting its safety (65), healthcare (68), 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.
Visakhapatnam ranks #1 in Andhra Pradesh for this analysis with a cost index of 82 and median income of ₹4,20,000.
The region average QoL score is 57/100. Visakhapatnam leads with 61/100, 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.
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.