In reconciling data in the sales comparison approach, what should the appraiser ensure?

• A. The most recent data is given the most weight
• B. The most reliable data is given the most weight
• C. The highest-priced data is given the most weight
• D. The oldest data is given the most weight

Answer: (B)

In reconciling data for the sales comparison approach, you blend adjusted sale prices to arrive at a single value, and the key factor is using data you can trust. Giving the most weight to the data that is most reliable helps ensure the final value reflects real market behavior rather than errors or biases. Reliability means the data come from credible, verifiable, arms-length transactions with complete and accurate information, making it safe to rely on for indicating value. If a sale is dubious, incomplete, or not truly comparable, its figures can mislead, even if it’s recent or high-priced.

While newer data can be helpful, it should only carry more weight if it is also highly reliable. Conversely, the highest-priced data might be driven by unique features or non-typical conditions, and the oldest data may not reflect current market trends. By prioritizing reliability, you anchor the reconciliation in solid, verifiable information, which is the strongest basis for a credible value conclusion.