How does BustoRadar work?

How we calculate market statistics and trends

Data Analysis Process

Data Collection

We collect publicly available real estate market data from various sources across Lithuania.

Statistical Analysis

We calculate price averages, medians, trends, and district comparisons by area, rooms, and time period.

Visualization

We present clear charts and tables so you can easily understand the market situation.

Market Statistics Calculation

Price averages and medians are calculated from listing prices in each district. Data is grouped by area, number of rooms, and construction period.

District Tiers

Districts are categorized by average price per square meter, infrastructure development, and livability scores.

Trends Calculation

Price trends are calculated by comparing monthly averages over time. We show the percentage change over the selected period.

Coming Soon: AI Valuation

We're developing an AI-powered apartment valuation model using official Registry Center data. Detailed methodology will be available here once the feature launches.

Data Sources

We use real estate market data and official state registry data

The model evaluates listing prices — these are NOT transaction prices

Listing prices are typically 5–15% higher than actual transaction prices

Data is updated regularly

Limitations

Valuation is based on listing prices, not transactions — actual sale price may differ

The model works best for standard apartments — very unusual features (e.g., penthouse, loft) may have higher error margins

Districts with less data may have lower accuracy

The valuation does not account for the specific apartment's condition, view, or neighborhood — only a professional appraiser can do that

Explore the market — data is updated regularly

Explore Market