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Comparable Sales Analysis Table

Table output Has example

Compare similar properties transparently.

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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Create a comparable sales table. Subject property facts: [SUBJECT]. Comparable sales I have found, with date, price, size, condition and features: [COMPARABLES]. Source of the data: [DATA_SOURCE].

Build a table with columns for each comparable and adjustments for date, size, condition and features, where I supply each adjustment rationale or ask me for it. Calculate adjusted prices and a reasoned range. Explain the limits: small samples, different conditions, and market movement, and warn against presenting the result as a valuation. Do not invent comparables or adjustment values. Add a checklist for choosing comparables fairly and a note that formal valuations are done by licensed appraisers [VERIFY] for [JURISDICTION].

Also add a quality checklist for each comparable (date within a reasonable window, similar location, similar size and condition, arm's-length sale) and a note on recording the source and date of every data point.

This is education and arithmetic, not advice to buy, sell or invest. Mark tax, financing and regulatory points [VERIFY] for [JURISDICTION], and suggest I test the model with worse numbers than I expect.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Invented table
Item | Subject | Comp 1 | Comp 2 | Comp 3
Sale date | n/a | 3 months ago | 5 months ago | 1 month ago
Price | n/a | 295,000 | 310,000 | 301,000
Size m2 | 95 | 90 | 100 | 94
Condition | fair | good | good | fair
Adjustment for size and condition (my inputs) | n/a | +4,000 | -6,000 | +1,000
Adjusted price | n/a | 299,000 | 304,000 | 302,000
Range: 299,000 to 304,000 (informal, not a valuation). Formal valuation by a licensed appraiser [VERIFY].

Illustrative only, made-up data. Your results will differ and must be reviewed.

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