The CI Score
The CI Score is a proprietary investment score on a 0–100 scale, computed for each eligible building by our scoring engine. It is a confidence-weighted average of seven components, each normalized to its own 0–100 sub-score and then combined using the weights below. A higher score reflects a stronger blend of appreciation, demand, liquidity, yield, activity, relative value, and building quality.
| Component | Weight | What it measures & how it scores |
|---|---|---|
| Price Trend | 25% | Annualized appreciation rate derived from historical sale records (capped to a [-30%, +50%] band). -15%/yr scores 0, flat (0%) scores ~33, +15%/yr scores ~67, +30%/yr scores 100. |
| Market Speed | 15% | Median days on market for recent listings — faster sales signal stronger demand. 30 days or fewer scores 100; 180 days or more scores 0. |
| Liquidity | 15% | Available inventory ratio: for-sale plus for-rent units relative to the building's total units. Tighter supply scores higher. 0% of units available scores 100; 50% or more available scores 0. |
| Rental Yield | 15% | Annualized rental yield estimated from MLS rental and sale data. 0% yield scores 0, 4% scores 50, 8% or higher scores 100. |
| Sales Volume | 15% | Count of qualifying closed sales over the trailing 12 months — transaction activity in the building. 1 sale scores ~5, 10 sales score 50, 20 or more score 100. |
| Value Position | 10% | Average sale price per square foot measured against the citywide median price per square foot. Half the citywide median scores 25, at the median scores 50, twice the median or higher scores 100. |
| Building Quality | 5% | A proxy based on building age (year built) — newer construction scores slightly higher. Brand-new (0 years) scores 100; 60 years or older scores 10. |
Weights sum to 100%. The exact factor weights, mappings, and thresholds are part of our proprietary model and may change as it is refined.
Coverage & Confidence
Not every building has data for all seven components, so we guard against scoring on thin evidence:
- Minimum coverage. A building must have at least three of the seven components present — and those components must account for at least 40% of the total weight — or it is left unscored.
- Confidence penalty. When the available components cover less than 80% of the total weight, the score is scaled down proportionally to its coverage. A building backed by sparse data therefore cannot score as high as one with full data supporting the same signals.
- Cap on incomplete data. Unless all seven components are present, the score is capped just below a perfect 100, reserving the very top of the scale for fully-supported buildings.
Price Tiers
Separately from the CI Score, every building with sale history is placed into a price tier based on its average sale price per square foot. The tier is a market-segment label; it is independent of the CI Score, which measures investment quality rather than price level. A Standard-tier building can earn a higher CI Score than an Ultra-Luxury one, and vice versa.
| Tier | Average sale price per square foot |
|---|---|
| Ultra-Luxury | $1,500+ per sq ft |
| Luxury | $800 – $1,500 per sq ft |
| Premium | $400 – $800 per sq ft |
| Standard | Under $400 per sq ft |
Data Sources
Every metric on CondoIntelligence is derived from licensed and public real estate data — never invented or estimated by hand:
- Bridge Data API (Miami MLS / RETS feed) — active, pending, and closed condo listings, listing media, days on market, rental data, and agent / transaction history.
- Miami-Dade public property & sale records — historical sales, building attributes (such as year built and unit counts), and recorded transfers.
- CondoIntelligence computed metrics — the monthly aggregates, appreciation rates, yields, and CI Scores we derive from the sources above.
How Often the Data Updates
- MLS listings & closed sales are ingested nightly from the Bridge feed.
- Building & neighborhood metrics and CI Scores are recomputed on a monthly aggregation cycle.
Limitations & Freshness
We are deliberate about what the CI Score can and cannot tell you:
- Not every building is scored. Buildings without enough recent transaction history or data coverage are left unscored rather than guessed at.
- Scores need recent sales. Components like price trend, sales volume, and value position depend on real closings; a building that has gone quiet will carry a lower-confidence score or none at all.
- MLS data has reporting lag. Closings can take days or weeks to post to the feed, so "recent" closings should be read as the last several weeks rather than as a real-time, today figure.
- The CI Score is informational. It is a data-driven signal to compare buildings, not investment advice or a guarantee of future performance.
See It in Action
The CI Score and price tiers appear throughout the site. Explore the building directory, review the citywide market signals, or browse Miami neighborhoods. Questions about the data or our methods? Email info@condointelligence.com.