A paired sales analysis reveals that homes with stainless-steel appliances sell for $2,100 more than identical homes with standard appliances — but only when the homes are priced below $350,000. In the subject’s neighborhood, median sale price is $410,000. What is the appraiser’s obligation regarding the $2,100 appliance adjustment?
Correct Answer
C) Reject it as unsupported for the subject’s market segment and seek paired data from the $400k+ tier.
USPAP Standards Rule 1-4(b) mandates that adjustments be supported by relevant market data. Market segmentation matters: buyer preferences and contributory value can differ significantly across price tiers. An adjustment derived from sub-$350k sales lacks credibility for a $410k subject unless validated in that tier. The appraiser must either obtain appropriate paired data or acknowledge the lack of support — not extrapolate or assume uniformity. Option D is incorrect because using an unsupported adjustment violates Standards Rule 2-1(a), which requires the report to contain no misleading information.
Why This Is the Correct Answer
Rejecting the figure as unsupported for the subject's segment and seeking paired data from the higher tier applies the adjustment only where the evidence reaches. It treats the price-tier limitation as a real finding rather than an inconvenience, which is what the data actually established. It also points to the correct remedy, which is more data rather than a manipulated number. If paired data in the upper tier shows no measurable premium, that conclusion is itself supportable and reportable.
Why the Other Options Are Wrong
Option A: Apply it anyway, because paired sales always trump price-tier considerations.
No technique automatically overrides market segmentation, because segmentation describes where the technique's result applies. Paired sales are strong evidence precisely because they are grounded in observed transactions, and that grounding is exactly what disappears outside the observed range. Saying paired sales always trump tier considerations inverts the relationship between a method and its data.
Option B: Reduce it proportionally using the ratio of $350,000 to $410,000.
Scaling by the ratio of the two price points assumes the premium varies proportionally with price, which is an assumption the data does not support and may be exactly backwards. The observed evidence says the premium exists below a threshold and is unobserved above it, not that it shrinks or grows smoothly. Inventing a functional form to bridge a data gap manufactures support rather than finding it.
Option D: Apply it but disclose the price-tier limitation in the report’s extraordinary assumptions.
An extraordinary assumption presumes a specific uncertain fact that has a reasonable basis, such as an unverified permit or an unseen condition. It is not a container for an adjustment the appraiser knows lacks support, and using it that way would let any unsupported number into a report behind a disclosure. Disclosure does not cure an adjustment that market evidence does not back, and a report resting on one risks being misleading.
Adjustments Stay in Their Lane
Every derived adjustment carries an invisible label listing the segment, period, and price range it came from. Before applying it, read the label and check that the subject falls inside. Outside the label is extrapolation.
How to use: When a stem specifies where an adjustment was observed and then places the subject outside that range, choose the answer that seeks matching data. Reject options that scale, extrapolate, or disclose their way around the gap.
Exam Tip
A supported zero is a valid adjustment. If upper-tier data shows no premium, reporting no adjustment with the analysis behind it is stronger than importing a figure from another tier.
Common Mistakes to Avoid
- -Applying an adjustment outside the price tier or period it was derived from
- -Interpolating or scaling an adjustment with no market basis for the functional form
- -Using an extraordinary assumption to house an unsupported adjustment
Concept Deep Dive
Analysis
An adjustment is a statement about how a particular market prices a particular difference, and its validity extends only as far as the data behind it. The stem is explicit that the $2,100 appliance premium appears only below $350,000, which is not an incidental detail but the boundary of the finding. That boundary makes economic sense: in entry-level housing, stainless appliances read as an upgrade worth paying for, while at $410,000 buyers may treat them as the expected baseline and price no premium at all, or may care about a different tier of finish entirely. Applying a rate outside the range where it was observed is extrapolation, and extrapolation beyond the observed data is where derived adjustments most often fail. The development requirements direct the appraiser to analyze such comparable data as are available and to support the adjustment; where that support does not exist for the subject's segment, the honest paths are to gather data in that segment or to conclude the adjustment is not supported.
Background Knowledge
You need the requirement that adjustments be derived from and supported by market evidence, the concept of market segmentation by price tier and product type, and the definition and proper use of an extraordinary assumption. You should also know that a supportable conclusion of no adjustment is a legitimate outcome.
Real-World Application
An appraiser with a well-documented appliance premium from entry-level sales runs the same pairing in the $400,000 tier and finds no measurable difference, because updated appliances are standard at that level. She applies no adjustment, explains both analyses, and notes why the lower-tier figure was not transferable.
More Sales Comparison Questions
Excess land differs from surplus land in that excess land:
GLA differs by 210 sq ft between subject and comparable. Paired sales support $65 per sq ft of living area. The line adjustment is:
Paired sales are drawn from transactions six months apart in a stable market. The time adjustment needed is:
The most appropriate unit of comparison is determined by:
A comparable superior to the subject in every adjusted category should produce an indication that is:
Three sales support $520,000; the borrower's purchase contract is $505,000. May the appraisal conclude above the contract price?
A comparable sold for $300,000 with the seller carrying a loan 2 points below market, a benefit worth $8,000. What is its cash-equivalent price?
Why is a foreclosure sale generally a poor comparable in a stable market?
A comparable sold 8 months ago for $250,000 in a market appreciating 6% per year. What is the time-adjusted price?
Days on market for the comparables averaged 18, while the subject has been listed 140 days without an offer. This suggests:
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