SMART VALUATION (AVM)
Real Transaction Prices, Not Just Asking Prices
See real property values using SIR data—the same ground truth used by Portuguese banks. Automated Valuation Model (AVM) provides ±5% accuracy based on actual transaction data so you can see the gap between optimistic asking prices and what similar homes really sold for before you decide how far to negotiate.
SIR Data
±5% Accuracy
Market Intelligence
What happens if you rely only on asking prices
Many foreign buyers base their offers on what they see on the portals: asking prices and agent language about "market value." But in Lisbon, listing prices are marketing positions, not ground truth. Without transaction data, it's hard to know whether you are paying a fair price or quietly funding a foreigner premium.
Smart Valuation uses SIR records—the same data banks rely on for mortgage decisions—to anchor your expectations in what comparable properties in the same building, street, and neighbourhood actually sold for. That context lets you calibrate offers, push back on obvious overpricing, and walk away from listings that simply don't make sense for the local market.
VALUATION FEATURES
How Smart Valuation Works
SIR Data Integration
Access to SIR (Sistema de Informação Residencial) data—the same ground truth used by Portuguese banks for mortgage valuations. Real transaction prices, not asking prices.
- Real transaction data from Land Registry
- Same data source used by Portuguese banks
- Historical transaction analysis
- Market trend identification
- Neighborhood price comparisons
±5% Accuracy
Automated Valuation Model (AVM) provides property valuations within ±5% accuracy based on comparable sales, property characteristics, and market conditions.
- Machine learning algorithms
- Comparable sales analysis
- Property characteristic weighting
- Location and neighborhood factors
- Market condition adjustments
Market Intelligence
Comprehensive market analysis including price trends, time on market, negotiation patterns, and investment potential for your target property.
- Price per square meter analysis
- Market trend identification
- Neighborhood growth patterns
- Investment yield calculations
- Comparative market analysis
VALUATION METHODOLOGY
Factors That Determine Property Value
Comparable Sales
40%Recent sales of similar properties in the same neighborhood. This is the anchor for value: what buyers have actually paid nearby in the last 12–24 months, not what sellers asked for.
Property Characteristics
30%Size, condition, age, features, views, floor level, and property type—everything that makes this specific property worth more or less than its neighbours, adjusted for quality and condition.
Location & Neighborhood
20%Neighborhood desirability, proximity to amenities, transport links, schools, and market perception. A top street in a prime area prices differently from an equivalent apartment in an emerging location.
Market Conditions
10%Current market trends, supply and demand, interest rates, and economic factors affecting property values. This layer adjusts valuations for whether the market is heating up, cooling down, or moving sideways.
FAQ
Frequently Asked Questions
Common questions about Smart Valuation, AVM, and SIR data for property valuations in Portugal.
SIR (Sistema de Informação Residencial) is Portugal's Residential Information System containing all property transaction data from the Land Registry. It includes: actual sale prices (not asking prices), transaction dates, property characteristics, and location data. Portuguese banks use SIR data for mortgage valuations because it's the only source of verified, real transaction prices. Access to SIR data provides the most accurate property valuations available.
Get Professional Property Valuation
While AVM provides instant insights, professional appraisals are required for mortgages and official purposes. Our verified real estate agents and valuers provide comprehensive property valuations.
Market Analysis
Comprehensive market insights
Professional Appraisal
Bank-grade valuations
Investment Analysis
ROI and yield calculations




