How are Neighborhood NFT prices calculated?
Neighborhood NFT pricing is calculated using a transparent, data-driven formula that evaluates multiple characteristics of each U.S. postal code: population, density, recent home value changes, and how local home values compare with the platform-wide median.
Larger, denser, faster-growing, and higher-value postal codes generally have higher mint prices because those characteristics are directly reflected in the pricing formula.
Neighborhood NFT Pricing Formula
Base Price
+ Population Weight × (Population ÷ 1,000)
+ Density Weight × (Density ÷ 1,000)
+ Growth Weight × 3-Month Home Value Change (decimal)
+ Prestige Weight × Relative Home Value Ratio
If the calculated total is lower than the base price because of negative home value changes, the Neighborhood NFT remains priced at the base price.
| Component | Description |
|---|---|
| Base Price | The minimum starting price for every Neighborhood NFT. |
| Population Weight | Adds value for every 1,000 residents in the ZIP code. Population is one measure of the size and potential activity of a neighborhood. |
| Density Weight | Adds value for every 1,000 people per square mile. Density helps account for concentrated residential, commercial, and property activity within the ZIP code. |
| Growth Weight | Adds or subtracts value based on the sum of the ZIP code’s last three monthly home value percentage changes, converted to decimal form. Positive changes can increase the price, while negative changes can reduce it. The final price will never fall below the base price. |
| Prestige Weight | Compares the ZIP code’s latest home value with the platform-wide median. ZIP codes with higher relative home values receive a small premium. |
Mapstone currently uses the Zillow Home Value Index (ZHVI) for its postal-code housing value data. ZHVI is a measure of typical home values in a geographic area. Throughout this article, references to home value data mean the current ZHVI-based data used by Mapstone.
You can explore the monthly housing data used by the platform in the Neighborhood Data Explorer.
Population, density, postal-code, and housing data come from sources including the U.S. Census Bureau, U.S. Postal Service, SimpleMaps, and Zillow. Neighborhood NFT prices may change as new source data becomes available or pricing settings are updated.
For information about potential Neighborhood NFT earnings, see Neighborhood NFT Earnings Estimates.
📍 Example: ZIP Code 10001 (New York, NY)
Sample Inputs (Illustrative)
- Population: 22,000
- Density: 34,000 people per square mile
- 3-Month Home Value Change: +1.8% (0.018 decimal)
- Local Home Value: $1,210,000
- Platform Median Home Value: $410,000
- Relative Home Value Ratio: 2.95×
Illustrative Pricing Weights
- Base Price: 0.50 ETH
- Population Weight: 0.01 ETH per 1,000 residents
- Density Weight: 0.0005 ETH per 1,000 density units
- Growth Weight: 0.80 ETH
- Prestige Weight: 0.10 ETH
Step-by-Step Calculation
1. Population Component
22,000 ÷ 1,000 × 0.01 = 0.22 ETH
2. Density Component
34,000 ÷ 1,000 × 0.0005 = 0.017 ETH
3. Growth Component
0.80 × 0.018 = 0.0144 ETH
4. Prestige Component
0.10 × 2.95 = 0.295 ETH
Total Estimated Price
0.50 + 0.22 + 0.017 + 0.0144 + 0.295 = ≈ 1.0464 ETH
