UAE Market Data
Sobha Hartland Real Estate Market Data
The median annual rent in Sobha Hartland is AED 100,000 , based on 8,102 registered lease contracts. Explore real rental trends, prices by bedroom, and live inventory — refreshed from millions of UAE transactions and listings.
Data as of November 2026 · Aggregated, anonymised market statistics
Median apartment rent
AED 100,000
Per year, all sizes
Rent per sq ft
AED 130
Per year
Rent change (YoY)
+11.1%
▲2024 → 2025 median
Lease contracts
4,797
Last 12 months
Median asking sale price
AED 2.1M
Live listings
Sale price per sq ft
AED 2,170
Live listings
Active listings
3,663
1,629 sale · 2,034 rent
Average rent by bedroom in Sobha Hartland
Median annual rent and rent per square foot for each unit size, calculated from the latest registered lease contracts.
| Bedrooms | Median annual rent | Rent / sq ft / yr |
|---|---|---|
| Studio | AED 67,000 | AED 134 |
| 1 Bed | AED 86,000 | AED 135 |
| 2 Bed | AED 140,000 | AED 124 |
| 3 Bed | AED 190,000 | AED 118 |
| 4+ Bed | AED 240,000 | AED 102 |
Based on 8,102 lease contracts in Sobha Hartland. Source: Dubai Land Department (DLD) registered lease contracts.
Sobha Hartland rent trend (2022–2025)
Median annual rent across all property types, by year of contract registration.
Median rents moved +11.1% year-over-year (2024 → 2025).
Rent by property type
| Property type | Median annual rent | Lease contracts |
|---|---|---|
| Apartments | AED 90,000 | 14,498 |
| Villas | AED 750,000 | 176 |
Recent lease transactions in Sobha Hartland
A live sample of the most recently registered rental contracts.
| Registered | Beds | Size (sq ft) | Annual rent |
|---|---|---|---|
| 1 Nov 2026 | 1 Bed | 490 | AED 70,000 |
| 1 Nov 2026 | 1 Bed | 515 | AED 88,000 |
| 1 Nov 2026 | 2 Bed | 1,055 | AED 130,000 |
| 1 Nov 2026 | 1 Bed | 733 | AED 112,000 |
| 31 Oct 2026 | 2 Bed | 1,175 | AED 130,000 |
| 31 Oct 2026 | 1 Bed | 694 | AED 95,000 |
| 31 Oct 2026 | 3 Bed | 1,542 | AED 170,000 |
| 31 Oct 2026 | 1 Bed | 776 | AED 108,000 |
A live sample of the most recent registered lease contracts. Individual records are anonymised; the full dataset is available through the API.
Live asking prices in Sobha Hartland
Current median asking prices from active listings, by property type.
| Type | Median sale price | Sale / sq ft | Median asking rent |
|---|---|---|---|
| Apartments | AED 2.0M | AED 2,161 | AED 120,000 |
| Villas | AED 23M | AED 3,186 | AED 850,000 |
| Commercial | — | — | AED 545,672 |
| Townhouses | — | — | AED 390,000 |
Off-plan & new projects
5 tracked off-plan projects in and around Sobha Hartland starting from AED 1.7M.
Pull this data yourself
Every figure on this page is computed from data you can query directly. Get Sobha Hartland rental transactions, price trends, and live listings as clean JSON.
# location_id is resolved from /autocomplete-location (e.g. Sobha Hartland)
curl --request GET \
--url 'https://uae-real-estate-property.p.rapidapi.com/get-transactions?location_id=1321&transaction_type=rented&period=1y' \
--header 'x-rapidapi-host: uae-real-estate-property.p.rapidapi.com' \
--header 'x-rapidapi-key: YOUR_API_KEY' import requests
HOST = "uae-real-estate-property.p.rapidapi.com"
HEADERS = {"x-rapidapi-host": HOST, "x-rapidapi-key": "YOUR_API_KEY"}
# 1. Resolve the location_id for Sobha Hartland
loc = requests.get(f"https://{HOST}/autocomplete-location",
headers=HEADERS, params={"query": "Sobha Hartland"}).json()
location_id = loc["data"][0]["id"]
# 2. Pull the last 12 months of rental transactions
res = requests.get(f"https://{HOST}/get-transactions", headers=HEADERS, params={
"location_id": location_id,
"transaction_type": "rented",
"period": "1y",
})
result = res.json()["data"]["data"]["attributes"]
print(f"Sobha Hartland: {result['total_items']:,} lease contracts in the last year")
print(f"Average new-lease rent: AED {result['summary']['rent_new_avg_price']:,.0f}") See the transactions endpoint, price-trend endpoint and location search (location_id 1321).
About this data
Rent figures are annualised from registered lease contracts and reported as medians, which are more representative than averages in markets with luxury outliers. Asking prices reflect live portal listings. Data as of November 2026. Based on annualised residential lease contracts (monthly rent x 12), using the last 24 months of data where available. Figures are aggregated market statistics for research and should not be treated as a valuation of any individual property.
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Get Sobha Hartland real estate data via API
Rental transactions, price trends, listings and off-plan data — as structured JSON. Start free, pay only for what you use.