Page one is six dials and nothing else — so getting these numbers right is the whole job. This sheet defines each metric, tells you exactly what to capture, and gives you a blank worksheet to fill while you're inside CoStar. Capture everything here first, then type it into the report.
Sales, period = Trailing 12 Mo. Cross-check against Crexi sold totals.Price/Unit column in your Sale Comps export (Step 2 of the playbook). Same dataset feeds the page-two comps table.Rent, current quarter, $/unit/mo.Vacancy, current quarter.Rent Growth, 12-month.Write the figures here as you pull them, then transfer to the report. The gold cells are what you key in; the trailing-12 series goes in the box below.
| Dial | County figure | YoY change | Central Valley | Source confirmed |
|---|---|---|---|---|
| 1 · Sales Volume · TTM | ||||
| 2 · Median Price / Unit | ||||
| 3 · Cap Rate · txn-wtd | ||||
| 4 · Avg Asking Rent | ||||
| 5 · Vacancy Rate | ||||
| 6 · Rent Growth · YoY |
Each dial draws a sparkline from twelve monthly values. Read them off the CoStar trend chart and write them left → right. Units don't matter — the line auto-scales to show shape. In the report HTML they live in each dial's data-points="…" attribute. Only have endpoints? A smooth run between them is fine.
Keep units consistent within a metric (don't mix $/unit with $/sf). Use pp (percentage points) — not % — for changes in cap rate, vacancy, and rent growth. If a metric's sample is thin this quarter, note it in the read rather than overstating precision.