Best Condo Buildings in Downtown Miami 2026 — Ranked by Sales
Which condo buildings in Downtown Miami are moving fastest right now — ranked by sales velocity, days-on-market, and sale-to-list over the last 6 months.
- #10
- Sales 2.7× vs last year
- Selling 63% faster
- Selling near list price
- Inventory up 214% YoY
- #21
- Sales up 50%
- Selling 28% faster
- Buyers negotiating down
- Inventory up 30% YoY
- #29
- Sales up 67%
- Days on market flat
- Buyers negotiating down
- Inventory up 282% YoY
- #45
- Sales up 57%
- Taking 110% longer to close
- Selling near list price
- Inventory up 98% YoY
- #53
- Sales down 44%
- Days on market flat
- Buyers negotiating down
- Inventory flat vs last year
Each building is scored against itself — not against other buildings. We compare the most recent six months of closed sales, days-on-market, and inventory pressure to the same window one year earlier. A score of 1.00 means activity matches last year; above 1.0 means the building is pulling more demand than it did a year ago; below 1.0 means it's cooling. The four axes below each carry a weight in the composite score.
Sales velocity (35%)
The count of closed sales in the current six-month window, divided by the count in the same six months one year ago. Answers the blunt question — is this market closing more deals than it did last year? Clamped at 5× to keep a single runaway quarter from dominating the ranking.
Days on market (30%)
Baseline average DOM divided by current average DOM — inverted so lower DOM lifts the score. Says how quickly qualified buyers are absorbing what's listed. A building going from 120 days to 60 is a more informative signal than any single list-price delta.
Sale-to-list ratio (20%)
Current average sale-to-list ratio divided by the year-ago average. Picks up bidding pressure — when the ratio climbs, buyers are paying closer to (or above) ask. Drops when sellers are cutting. Sold prices are pulled from the RESO ClosePrice field; rentals are excluded.
Inventory pressure (15%)
Time-weighted average active-listing count during the baseline window divided by the same during the current window. A listing active for half the window counts as half a listing. Inverted so shrinking inventory lifts the score — when supply tightens while sales hold or rise, that's a real demand signal.
Frequently asked questions
How often is this ranking updated?
The compute job re-runs after every full MLS sync (currently weekly) and after manual triggers by the editorial team. The "updated" date at the top of the page reflects the last successful run.
Why a six-month window?
Real estate moves slowly. A single-quarter window catches too few sales per building — a luxury condo with two closings in a quarter versus one in the prior year would register as "2× velocity," which isn't a real signal. Six months captures 2–3 days-on-market cycles and stabilizes the ratio.
Why compare to one year ago instead of last quarter?
Miami sales are seasonal — Q1 snowbird activity doesn't resemble Q3. Comparing each six-month window to the same six months one year earlier cancels that seasonality so a Q1 reading reflects the year-over-year story, not the tourist cycle.
Are rentals included?
No. All four axes filter to sold or for-sale listings only. Closed rentals have DOM and price curves that don't belong in a for-sale demand index — including them would depress scores across the board.
Is this predictive?
No — it's descriptive. The ranking tells you which markets have actually been closing more, faster, at higher sale-to-list ratios over the past six months. It's a measurement of current momentum, not a forecast of next year's prices. Treat it as a starting point for deeper research.
Why are some buildings/neighborhoods missing from the ranking?
Entities with too few comparable sales in the current window get a score of zero and fall out of the ranked list. For buildings we require at least 3 sales in the past 6 months and 5 in the trailing 12 months; for neighborhoods we require 10 in the trailing 12. This keeps single-transaction noise from distorting the index.