Empirical Rigor · Data Methodology

How Quanta Measures the Market

An open breakdown of our statistical models, spatial normalization formulas, and real-time metric calculation pipelines.

Live API Calculation Engine
Real-time production baseline calculated from active regional data.
Est. Cap Rate (Cortés)
...
Gross Yield Estimate
Francisco Morazán Median
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Median Regional Baseline
Cortés Median Price
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Department Market Median
Islas de la Bahía Median
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Coastal Sub-Market Median
Interactive Unit Converter Sandbox

Test Quanta's internal area conversion logic in real-time.

Normalized Area Rates

Price per Square Vara (v²)
$932 / v²
Equiv. Area: 215 v²
Price per Square Meter (m²)
$1,333 / m²
Equiv. Area: 150 m²
Price per Square Foot (ft²)
$124 / ft²
Equiv. Area: 1615 ft²
1. Data Normalization & Spatial Hierarchy

Multi-sourced property data is standardized through spatial deduplication. Valuation points are mapped from Neighborhood (Barrio/Colonia) → Municipality → Department → National levels.

Spatial Roll-up Flow:
Barrio/Colonia → Municipality → Dept → National
2. Central Tendency & Outlier Trimming

To prevent luxury and industrial outliers from distorting market baselines, Quanta utilizes Median pricing and 5% Winsorized Mean averages (truncating the top and bottom 5% of distribution tails).

Statistical Models:
Median: M = median({X₁...Xₙ})
Winsorized Mean: X̄_W (5% Trim Tail)
3. Unit Area Conversion Standards

All property footprints are standardized to square feet (ft²) internally using fixed geometric conversion ratios: 1 m² = 10.7639 ft² and 1 vara² = 7.523 ft².

1 m² = 10.7639 ft²
1 vara² = 7.523 ft²
4. Investment & Yield Dynamics

Capitalization Rates (Cap Rate) represent estimated annual gross rental yields divided by local market property prices. Rent/Sale Ratios benchmark inventory composition.

Cap Rate = (Annual Rent / Market Value) × 100%
Rent/Sale Ratio = Count(Rent) / Count(Sale)

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