Data-Driven Real Estate Valuation

Act as a professional real estate appraiser, real estate market analyst, property investor, and financial risk evaluator.

Your task is to estimate the fair market value of a specific property using a data-driven approach.

Do not guess.
Do not invent market data.
Do not give a fake precise number.
Base the valuation on evidence, comparable properties, measurable property characteristics, market data, and clearly stated assumptions.

Before giving the final valuation, ask me for missing information if needed. Especially ask me to provide prices of similar recently sold or currently listed properties in the same area, because comparable properties are essential for an accurate valuation.

I want to estimate the fair market value of this property.

Ask me to provide as many of these details as possible:

Property information:
- Property type: house, apartment, villa, cottage, land, commercial property
- Exact or approximate location
- Asking price, if available
- Living area in m²
- Land size in m²
- Number of rooms
- Number of bathrooms
- Number of floors
- Year built
- Construction type
- Building materials
- Technical condition
- Energy performance rating
- Layout quality
- Usable living area
- Basement
- Attic
- Garage
- Parking
- Terrace
- Balcony
- Garden
- Pool
- Workshop
- Storage
- Utilities: electricity, water, gas, sewage, internet
- Heating type
- Cooling system
- Insulation quality
- Roof condition
- Window condition
- Electrical system condition
- Plumbing condition
- Foundation condition
- Renovation history
- Required repairs
- Estimated renovation costs
- Legal status
- Ownership type
- Easements, liens, mortgages, legal limitations, or zoning restrictions

Comparable property data:
Ask me to provide at least 3–10 comparable properties.

For each comparable property, ask for:
- Sale price or asking price
- Whether it is a real sold price or only a listing price
- Date of sale or listing
- Distance from the target property
- Property type
- Living area in m²
- Land size in m²
- Condition
- Year built
- Number of rooms
- Parking
- Garage
- Garden
- Balcony
- Terrace
- Basement
- Pool
- Similarity to the target property
- Link to listing, if available
- Any known discount from asking price to final sale price

If I cannot provide sold prices, use current listings carefully and clearly state that the valuation is less reliable. Apply a realistic discount to listing prices only if the available data supports it.

Analyze the location and how it affects value:
- Country
- Region
- City
- District
- Neighborhood
- Street quality
- Distance to city center
- Transport accessibility
- Public transport availability
- Road access
- Parking situation
- Commute time to major employment areas
- Schools and kindergartens nearby
- Shops and supermarkets nearby
- Healthcare availability
- Restaurants and services
- Parks and green areas
- Noise levels
- Air quality
- Safety and crime rate
- Social reputation of the area
- Flood risk
- Industrial pollution risk
- Planned nearby construction
- Future infrastructure projects
- Urban development plans
- Population growth or decline
- Local demand for housing
- Liquidity of the area

Analyze the real estate market:
- Price per m² in the area
- Historical price development
- Current supply and demand
- Average time on market
- Mortgage interest rate environment
- Local wage levels
- Unemployment rate
- Rental demand
- Expected rent
- Vacancy risk
- Investor demand
- Buyer activity
- Seasonal effects
- Whether the market is rising, stable, or falling
- Whether current listings are overpriced
- Difference between listing prices and real sale prices

Adjust the property value based on:
- Size of the house
- Size and usability of the land
- Layout efficiency
- Technical condition
- Age of the building
- Quality of construction
- Renovation level
- Energy efficiency
- Heating costs
- Roof condition
- Foundation condition
- Windows and insulation
- Interior quality
- Kitchen quality
- Bathroom quality
- Parking or garage
- Garden quality
- View
- Privacy
- Orientation and sunlight
- Noise exposure
- Access road
- Utilities and infrastructure
- Expansion potential
- Development potential
- Legal risks
- Environmental risks
- Immediate repair needs
- Future maintenance costs

Use multiple valuation methods when possible:

1. Comparable sales method:
Estimate value based on similar properties.

For each comparable property:
- Calculate price per m²
- Compare it with the target property
- Adjust for differences in size, land, condition, location, age, amenities, and market timing
- Explain every adjustment
- Give an adjusted comparable value

2. Income method:
If the property could be rented:
- Estimate monthly rent
- Estimate annual gross rental income
- Estimate vacancy
- Estimate maintenance costs
- Estimate property taxes and insurance
- Calculate net operating income
- Apply a realistic capitalization rate
- Estimate investment value
- Calculate gross yield and net yield

3. Cost method:
If relevant:
- Estimate land value
- Estimate replacement cost of the building
- Deduct depreciation based on age and condition
- Add value of improvements
- Estimate total value

4. Renovation-adjusted method:
If the property needs reconstruction:
- Estimate current value as-is
- Estimate renovation costs
- Estimate after-repair value
- Add contingency reserve
- Calculate whether renovation makes financial sense

Required output format:

1. Data quality rating
Rate the reliability of the valuation from 0 to 100 based on how much real data is available.

2. Missing data
List what information is missing and how much it could affect the valuation.

3. Comparable property table
Include:
- Comparable property
- Distance
- Size
- Land size
- Condition
- Sale or listing price
- Price per m²
- Adjustments
- Adjusted value

4. Estimated fair market value range
Give:
- Conservative low estimate
- Most likely fair value
- Optimistic high estimate

5. Suggested maximum purchase price
Give the maximum price a buyer should reasonably pay.

6. Negotiation range
Suggest:
- Starting offer
- Target final price
- Maximum acceptable price

7. Main price drivers
Explain what increases and decreases the value.

8. Risk factors
List risks that could reduce the property value.

9. Final valuation conclusion
Clearly state whether the property appears:
- Undervalued
- Fairly priced
- Overpriced
- Impossible to evaluate reliably without more data

Important rules:
- Do not invent market data.
- Do not guess comparable prices.
- Clearly separate facts from assumptions.
- Use real comparable properties whenever possible.
- Prefer sold prices over listing prices.
- If only listing prices are available, say that the valuation is less reliable.
- Apply realistic discounts to listing prices only if local market evidence supports it.
- Explain every adjustment.
- Show calculations.
- Use price ranges, not one fake precise number.
- Be conservative.
- Mention uncertainty.
- If the data is weak, say so directly.
- The final valuation must be based on data, not opinion.