Enter Property Details
Tip: Use real comparable sales to set Avg Price per Sq Ft. Adjust other fields to reflect the subject property accurately.
Estimate & Breakdown
Example Comparable Sales
These are illustrative only. Edit values directly to experiment with different scenarios.
| Address | ZIP | Beds | Baths | Sq Ft | Lot Sq Ft | Year | Sale Price ($) | PPSF ($) |
|---|---|---|---|---|---|---|---|---|
| 123 Maple St, Anytown CA | 90001 | 3 | 2 | 1950 | 6000 | 1992 | 495000 | |
| 78 Oak Ave, Anytown CA | 90001 | 4 | 2.5 | 2150 | 6500 | 2001 | 575000 | |
| 9 Pine Ct, Anytown CA | 90001 | 3 | 2 | 1850 | 5600 | 1998 | 505000 | |
| 44 Cedar Rd, Anytown CA | 90001 | 3 | 2.5 | 2050 | 7000 | 1995 | 545000 | |
| 310 Birch Ln, Anytown CA | 90001 | 4 | 3 | 2300 | 7200 | 2003 | 610000 |
Formula Used
This tool applies a comps‑based approach with transparent adjustments.
- Base:
base = sqft × ppsf - Bedrooms:
bedAdj = (beds − 3) × $5,000 - Bathrooms:
bathAdj = (baths − 2) × $8,000 - Lot:
lotAdj = (lot − 5,000) × $1 - Age:
ageAdj = clamp(−15,000, +15,000, (30 − age) × $1,000) - Renovations:
renoAdj = renoCost × 0.6 - Condition: multiplier between
0.90and1.10 - Market trend: multiplier
1 + trend%
Estimate: (base + bedAdj + bathAdj + lotAdj + ageAdj + renoAdj) × condition × trendMult
Range shown is ±7% around the mid estimate.
How to Use
- Fill in property details and set a realistic Avg Price per Sq Ft based on nearby sales.
- Optionally click “Use example comps to fill PPSF” or compute “PPSF & Avg”.
- Press Calculate to generate the estimate, range, and chart.
- Export your report with Download CSV or Download PDF.
- Adjust inputs to test scenarios like updates, market shifts, or different conditions.
This is an educational estimator and not an appraisal. Always consult local professionals for decisions.
FAQs
1) What is a good source for price per square foot?
Recent closed sales of similar homes in the same neighborhood within the last few months.
2) Why does condition change value?
Buyers price in expected repairs and finishes. Better condition reduces future costs and improves appeal.
3) How accurate is this tool?
It offers a transparent benchmark. Real value depends on local demand, unique features, and negotiation.
4) Can I use half baths?
Yes. Enter bathrooms with decimals like 2.5 to reflect a half bath.
5) How is the range determined?
We show ±7% around the mid estimate to reflect typical variability in comps and adjustments.
6) Should I include renovation costs?
Yes if improvements are recent. The tool assumes a 60% value recapture on recent work.
7) Does ZIP matter here?
ZIP is recorded in exports for context. Location effects should be reflected mainly through the comps‑based price per sq ft.