Appraisal Engine’s Cash Value Scarcity Factor 


To develop a scarcity index for adjusting a vehicle’s value based on its availability within a certain radius, we need to consider several factors. The scarcity index could be influenced by the total number of vehicles of a specific model available for sale, the demand for that model, and perhaps the geographic size of the area you’re considering. Here’s a basic approach to devising such a formula:

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Appraisal Engine’s Cash Value Scarcity Factor (PDF)

Step 1: Define Variables

  1. A = Total number of vehicles of the specific model available for sale within the radius.
  2. D = Demand for the vehicle model. This could be a more complex factor to quantify and might involve historical sales data, search frequency, etc.
  3. R = Radius (in miles or kilometers) within which the availability is being measured.
  4. V_b = Base value of the vehicle without considering scarcity.

Step 2: Calculate Scarcity Factor (SF)

The Scarcity Factor (SF) reflects how scarce the vehicle is within the specified radius. A straightforward approach could be inversely related to the number of vehicles available, adjusted by the demand.


This formulation implies that as the availability (A) decreases, or as the demand (D) increases, the scarcity factor goes up, indicating a rarer find.

Step 3: Adjust Vehicle Value Based on Scarcity

To adjust the vehicle’s value based on scarcity, we could use the scarcity factor to adjust the base value of the vehicle (V_b).


Here, 𝑉𝑎Va​ is the adjusted vehicle value, and 𝑘k is a constant that determines how strongly the scarcity factor affects the vehicle’s value. The value of 𝑘k needs to be determined based on market research or experimentation, aiming to reflect how scarcity realistically impacts prices in the vehicle market.

Step 4: Consideration for Geographic Radius

The radius (R) could play a role in adjusting the scarcity factor, especially in large geographic areas. You might want to normalize the scarcity based on the area size or adjust 𝑘k based on the radius to reflect that scarcity impacts are less pronounced in larger areas:


Where 𝑘0k0​ is the base sensitivity of the value to the scarcity factor, and 𝑓(𝑅)f(R) is a function that adjusts this sensitivity based on the radius. For example, 𝑓(𝑅)f(R) could decrease as 𝑅R increases, reflecting that a vehicle being scarce in a larger area is less significant than being scarce in a smaller area.

Additional Considerations

  • Market Trends: The scarcity index could be further refined by incorporating broader market trends or specific events that may affect vehicle demand.
  • Data Availability: Reliable data on demand (D) and the number of available vehicles (A) are crucial for this formula to be effective.
  • Local Factors: Consider local factors that may affect vehicle demand, such as economic conditions, which could be integrated into the demand variable (D) or as an additional factor in the formula.


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