Dubai Data — Dubai real estate statistics
RemoteAbout Dubai Data — Dubai real estate statistics
Dubai Data is a cleaned and aggregated dataset of Dubai real estate based on Dubai Land Department open data. It covers property prices, AED/sqft, sales, rents, yields, and projects; it is not an official DLD product.
Key features
- 01Property prices and AED/sqft
- 02Real estate sales and rents
- 03Rental yield data
- 04Real estate projects
- 05Data derived from DLD open data
Use cases
- 01Analyze Dubai housing price trends
- 02Compare rents and rental yields
- 03Review registered transactions and projects
MCP support
As an MCP server, the project page describes access to Dubai real estate statistics derived from DLD open data.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.datadubai.ae/mcpclaude mcp add --transport http ae-datadubai-dubai-real-estate https://mcp.datadubai.ae/mcp{"mcpServers":{"ae-datadubai-dubai-real-estate":{"type":"http","url":"https://mcp.datadubai.ae/mcp"}}}Open in Cursor{"servers":{"ae-datadubai-dubai-real-estate":{"type":"http","url":"https://mcp.datadubai.ae/mcp"}}}Open in VS Code{"mcpServers":{"ae-datadubai-dubai-real-estate":{"type":"http","url":"https://mcp.datadubai.ae/mcp"}}}{"mcpServers":{"ae-datadubai-dubai-real-estate":{"serverUrl":"https://mcp.datadubai.ae/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
6| Parameter | Type | Required | Description |
|---|---|---|---|
| type | any | No | |
| limit | integer | No | |
| query | string | Yes |
Details
From the project READMElicense: cc-by-4.0 language:
- en pretty_name: Dubai Real Estate — DLD open data, cleaned and aggregated tags:
- real-estate
- dubai
- uae
- property-prices
- rental-yield
- housing
- open-data size_categories:
- 10K<n<100K configs:
- config_name: market_monthly data_files: data/market_monthly.csv
- config_name: market_yearly data_files: data/market_yearly.csv
- config_name: market_bedrooms data_files: data/market_bedrooms.csv
- config_name: communities data_files: data/communities.csv
- config_name: community_monthly data_files: data/community_monthly.csv
- config_name: community_yearly data_files: data/community_yearly.csv
- config_name: community_bedrooms data_files: data/community_bedrooms.csv
- config_name: rents_by_community data_files: data/rents_by_community.csv
- config_name: yields_by_community data_files: data/yields_by_community.csv
- config_name: areas data_files: data/areas.csv
- config_name: developers data_files: data/developers.csv
- config_name: projects data_files: data/projects.csv
Dubai Real Estate — DLD open data, cleaned and aggregated
Registered property sales, rent contracts and the project registry of the Dubai Land Department (DLD), cleaned and aggregated by Dubai Data — the same numbers that are published on the portal, exported from its nightly build.
- Data through: 2026-10-22 (DLD publishes with a lag of a few working days)
- Updated: weekly from the portal's nightly build
- Methodology: https://datadubai.ae/methodology/ — outlier trimming, minimum samples, how yields are computed
- Sources and row counts: https://datadubai.ae/sources/
- Every row links back to its page on the portal (
urlcolumn) with charts, context and the latest figures. - Mirrors: Hugging Face · GitHub — identical files.
Files
| File | Rows | What it holds |
|---|---|---|
data/market_monthly.csv | 120 | Dubai-wide monthly medians: price per sqft (median, q1, q3), median price, number of registered sales. Built homes, outliers trimmed per the methodology. |
data/market_yearly.csv | 17 | Dubai-wide yearly totals since 2010: sales count, median price, median price per sqft, total registered value (AED). |
data/market_bedrooms.csv | 6 | Last 12 complete months by bedroom count: median price, price per sqft, size, annual rent and gross yield. |
data/communities.csv | 111 | 113 master communities, last 12 complete months: sales, median price and price per sqft, year-on-year change, off-plan share, data quality flag. |
data/community_monthly.csv | 5,722 | Monthly price-per-sqft medians and IQR for every community (5 years). |
data/community_yearly.csv | 1,403 | Yearly sales and medians for every community since 2010. |
data/community_bedrooms.csv | 418 | Community × bedroom count: median price, price per sqft, annual rent, gross yield. |
data/rents_by_community.csv | 102 | Ejari rent contracts, last 12 months: contracts and median annual rent (AED) per community. |
data/yields_by_community.csv | 75 | Gross rental yield per community, computed inside property-class × bedroom segments (never as the ratio of two community-wide medians). |
data/areas.csv | 97 | DLD land-registry areas: sales, medians, off-plan share. |
data/developers.csv | 367 | Developers active in the DLD project registry: projects, units, sales, medians. Company records only — no contact details. |
data/projects.csv | 770 | Registered projects: developer, status, construction completion %, completion date, units, escrow bank, and sales medians. Coordinates only where the registry has a real point. |
Notes on the numbers
- Medians, not averages; price per sqft uses built homes only; outliers outside P1–P99 are removed.
- A figure is published only when the sample is large enough;
qualitymarks thin samples. - Gross yield = median annual rent / median price within the same property class and bedroom count, then the median across segments for a place — dividing two place-wide medians would mix villas with studios.
- Sales data: DLD transactions (2010 →). Rents: Ejari contracts (2023 →). Projects: DLD project registry.
License and attribution
Aggregates are released under CC BY 4.0. Please cite:
Dubai Data (datadubai.ae), Continental Club Property — based on Dubai Land Department open data, data through 2026-10-22.
Source data © Dubai Land Department, published as open data. This dataset is not an official DLD product.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.