Market Intelligence
Dubai property market trends and analytics
A median price tells you what happened last month. An index tells you whether prices actually moved. Market Analytics gives you both, plus the distribution behind them — because the shape of a market matters as much as its midpoint.
Product preview
Market price trend
Indexed to base period · sample: high
Price distribution
Share of recorded sales by price band
Transactions by property type
Share of recorded sales
- Apartments68%
- Villas17%
- Townhouses11%
- Other4%
Published indices
Base period = 100 · with coverage labels
| Segment | Index | Change | Sample |
|---|---|---|---|
| All residential | 112.4 | +2.1% | High |
| Apartments | 114.1 | +2.6% | High |
| Villas | 108.9 | +1.2% | Medium |
| Off-plan | 116.2 | +3.4% | Medium |
Median price per square foot
Hover any point to inspect the value for that period.
Key capabilities
Market price trend, weekly or monthly
Switch the trend between weekly and monthly resolution. Weekly reveals turning points earlier but is noisier; monthly smooths the noise at the cost of lag. Being able to flip between them is how you tell a real inflection from a quiet fortnight.
Choose your metric
Move the same trend between median price, price per square foot, transaction volume and transaction value. A price line that rises while volume falls is a different market from one where both rise.
Four ways to view one series
Area, line, bar and table views of the same data. The table matters more than it sounds: it is how you check an exact figure and the sample behind it before putting a number in a document.
Price distribution
See how transactions spread across price bands rather than collapsing to a single median. Two communities can share a median and have completely different distributions — one tightly clustered, one barbell-shaped.
Transaction breakdown by property type
Apartments, villas and other property types analysed separately, because combining them produces a median that describes nothing in particular.
Published indices with sample metadata
Index values are presented with the coverage and sample information needed to judge how much weight they carry for a given segment and period.
Business use cases
What people actually use this module for, rather than a list of what it contains.
- 1
A researcher writing a market view
Establish whether a price move is index-confirmed or an artefact of transaction mix, and report it with the sample size attached.
- 2
A lender reviewing collateral assumptions
Examine the distribution of recorded prices in a segment rather than relying on a single median when setting internal assumptions.
- 3
A developer timing a launch
Compare price and volume trends in the target segment to understand whether demand is strengthening or simply shifting to different unit sizes.
How the analysis works
- 1
Define the segment and period
Market, property type and date range determine the transaction population under analysis.
- 2
Aggregate into a series
Records are grouped into weekly or monthly buckets and summarised with the metric you select.
- 3
Check coverage before concluding
Sample and coverage indicators show whether the series is dense enough in each period to support the conclusion you want to draw.
Filters and metrics
The filters that define what a figure is computed from. Setting them before reading a number is the difference between an answer and a coincidence.
- Metric
- Weekly or monthly
- Property type
- Chart or table view
- Date range
Data limitations
- Index methodology, base period and revision policy are documented on the methodology page; figures for thin segments carry coverage labels.
- A median can move because the mix of properties sold changed, not because prices changed. The index exists to address exactly this.
- Recent periods revise upward as delayed records are registered.
Metrics used on this page
- Market price index
- An index tracks how price levels in a defined market segment move relative to a base period, which is set to 100. An index is designed to separate genuine price movement from changes in the mix of properties that happened to sell — so it answers a different question from "what was the median price last month".
- Median sale price
- The middle recorded sale price in a set of transactions: half sold for less, half for more. The median is used instead of the average because a small number of very high-value sales can pull an average far away from what a typical buyer paid.
- Price per square foot (AED/sqft)
- A recorded sale price divided by the property’s recorded area, expressed in AED per square foot. It allows properties of different sizes to be compared, but only compares fairly within a similar property type, location and condition.
- Sample size
- The number of records behind a displayed statistic. A median built on six transactions is a weak signal; the same median built on six hundred is a strong one. Sample size is why a figure can move sharply in a small community without the market itself moving.
- Index confidence and coverage labels
- Labels that tell you how much weight a published figure can carry, based on the number of records available for that segment and period. Where a segment is thin, the platform is designed to say so instead of presenting a precise-looking number.
Full definitions and method: data methodology
Frequently asked questions
The median describes the middle transaction that actually occurred in a period. An index is designed to measure price level movement relative to a base period while accounting for changes in the mix of properties transacting. They answer different questions and can move in different directions in the same month.
Fewer transactions land in a week than a month, so each individual sale has more influence on the result. Weekly series are useful for spotting turning points early, provided you read them alongside the sample size.
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