Coimbatore rates, per sq ft carpet.








Pin = market rate, ₹/sq ft carpet. Click a pin to load it into the land-cost calculator.
| Micro-market | Market ₹/sq ft | Reckoner | Premium | Rent ₹/sq ft/mo | Yield · typical |
|---|---|---|---|---|---|
| RS Puram – Race Course Central business district | ₹11,420 | ₹7,590 | +50.5% (+1.3% vs city line) | ₹22.8 | 2.4% 2 BHK ₹21,700/mo |
| Avinashi Rd – Peelamedu Prime residential | ₹8,160 | ₹5,780 | +41.2% (-0.7% vs city line) | ₹18.4 | 2.71% 2 BHK ₹17,500/mo |
| Saravanampatti Established mid-market | ₹6,520 | ₹4,880 | +33.6% (-2.7% vs city line) | ₹16.8 | 3.09% 2 BHK ₹16,000/mo |
| Ganapathy – Kavundampalayam Established mid-market | ₹6,050 | ₹4,500 | +34.4% (-0.1% vs city line) | ₹15.6 | 3.09% 2 BHK ₹14,800/mo |
| Vadavalli – Thondamuthur Growth suburb | ₹5,190 | ₹4,060 | +27.8% (-2.3% vs city line) | ₹14.7 | 3.4% 2 BHK ₹14,000/mo |
| Singanallur – Ondipudur Growth suburb | ₹4,990 | ₹3,900 | +27.9% (-1% vs city line) | ₹14.1 | 3.39% 2 BHK ₹13,400/mo |
| Kovaipudur – Kuniyamuthur Growth suburb | ₹4,820 | ₹3,740 | +28.9% (+1% vs city line) | ₹13.7 | 3.41% 2 BHK ₹13,000/mo |
| Sulur – Neelambur Peripheral / emerging | ₹3,610 | ₹2,920 | +23.6% (+6.6% vs city line) | ₹11.1 | 3.69% 2 BHK ₹10,500/mo |
Land cost calculator — acquisition, stamp duty & TDR
Type a plot size; we apply the micro-market land rate, the state's stamp-duty rule (charged on the higher of market and reckoner value) and the local TDR pricing convention.
Acquisition (market)
₹57.63 cr
₹13,230/sq ft × 43,560 sq ft
Stamp duty + registration
₹6.34 cr
7% + 4% on ₹57.63 cr
Total outlay
₹63.97 cr
₹7,343 per buildable sq ft @ FSI 2
Tamil Nadu: 7% stamp + 4% registration (highest in India). TDR under TNCDBR 2019. Indicative — confirm with the sub-registrar's current schedule.
Vidura market brief
Coimbatore's residential market trades consistently above TNREGINET guideline values across all tracked micro-markets, with premiums ranging from 23.6% to 50.5%, against a seeded YoY trend of approximately 6.0%. RS Puram–Race Course commands the steepest premium at 50.5% (₹11,420/sq ft carpet vs ₹7,590 reckoner), reflecting its established central-city status and limited fresh supply, followed by Avinashi Road–Peelamedu at 41.2%. This wide and persistent market-reckoner gap has direct implications for PPP structuring: land acquisition costs referenced to guideline values will understate actual compensation expectations, complicating cost projections for transit, road-widening, or utility corridor projects threading through these premium pockets. Saravanampatti, carrying a still-meaningful 33.6% premium, is drawing developer conviction, evidenced by Brigade Enterprises' ₹600 crore residential launch there, signalling confidence in peripheral IT-corridor growth and improving asset monetisation potential for adjacent public infrastructure. Investors should expect guideline-value revisions to lag market reality, meaning acquisition and compensation models built purely on circle rates will need substantial premium adjustments, particularly in core and IT-adjacent submarkets, to remain bankable.
Generated 2026-09-13 from the engine's current numbers and recent headlines · refreshed weekly
5-year trend — city average, residential
Lime = engine's city average sale · sky = rent ₹/sq ft/month · dashed blue = YoY % · amber dots = credible prints (CRE Matrix / PropEquity / Knight Frank / IGR headlines, team deals) — 0 so far · 5Y sale +17% · rent +16.9%
- rent
- value
- yoy
Reckoner ↔ market correlation
market ≈ −₹1,546.1 + 1.6893 × reckoner · R² 0.997 · n = 8 micro-markets
Points above the line are micro-markets where the market has run further ahead of the government rate — expect higher land-acquisition cost and stamp-duty arbitrage; points below signal reckoner catch-up risk.
Recent public signals
Indicative desk estimates calibrated to government reckoner/circle rates and public signals; not a valuation. Refined daily and by team corrections. Reckoner source: TNREGINET — Guideline Value. Unit: ₹ per sq ft carpet (land: ₹ per sq ft of plot).
