UAE Market Data
Al Nahda (Dubai) Real Estate Market Data
The median annual rent in Al Nahda (Dubai) is AED 53,000 , based on 57,825 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 53,000
Per year, all sizes
Rent per sq ft
AED 54
Per year
Rent change (YoY)
+6.1%
▲2024 → 2025 median
Lease contracts
29,119
Last 12 months
Median asking sale price
AED 775K
Live listings
Sale price per sq ft
AED 562
Live listings
Active listings
2,324
255 sale · 2,063 rent
Average rent by bedroom in Al Nahda (Dubai)
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 34,650 | AED 88 |
| 1 Bed | AED 44,000 | AED 59 |
| 2 Bed | AED 57,000 | AED 50 |
| 3 Bed | AED 78,000 | AED 51 |
| 4+ Bed | AED 85,000 | AED 47 |
Based on 57,825 lease contracts in Al Nahda (Dubai). Source: Dubai Land Department (DLD) registered lease contracts.
Al Nahda (Dubai) rent trend (2022–2025)
Median annual rent across all property types, by year of contract registration.
Median rents moved +6.1% year-over-year (2024 → 2025).
Recent lease transactions in Al Nahda (Dubai)
A live sample of the most recently registered rental contracts.
| Registered | Beds | Size (sq ft) | Annual rent |
|---|---|---|---|
| 1 Nov 2026 | 2 Bed | 1,269 | AED 62,000 |
| 1 Nov 2026 | 2 Bed | 1,163 | AED 59,850 |
| 1 Nov 2026 | 2 Bed | 1,302 | AED 71,662 |
| 1 Nov 2026 | 2 Bed | — | AED 55,125 |
| 1 Nov 2026 | 1 Bed | 520 | AED 45,000 |
| 1 Nov 2026 | 2 Bed | 969 | AED 49,500 |
| 1 Nov 2026 | Studio | 525 | AED 33,000 |
| 1 Nov 2026 | 2 Bed | 1,315 | AED 60,999 |
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 Al Nahda (Dubai)
Current median asking prices from active listings, by property type.
| Type | Median sale price | Sale / sq ft | Median asking rent |
|---|---|---|---|
| Apartments | AED 700K | AED 557 | AED 44,000 |
| Offices | — | — | AED 108,000 |
| Commercial | — | — | AED 160,000 |
Off-plan & new projects
1 tracked off-plan project in and around Al Nahda (Dubai) starting from AED 506K.
Pull this data yourself
Every figure on this page is computed from data you can query directly. Get Al Nahda (Dubai) rental transactions, price trends, and live listings as clean JSON.
# location_id is resolved from /autocomplete-location (e.g. Al Nahda (Dubai))
curl --request GET \
--url 'https://uae-real-estate-property.p.rapidapi.com/get-transactions?location_id=23&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 Al Nahda (Dubai)
loc = requests.get(f"https://{HOST}/autocomplete-location",
headers=HEADERS, params={"query": "Al Nahda (Dubai)"}).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"Al Nahda (Dubai): {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 23).
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.
Market data for other areas
Get Al Nahda (Dubai) 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.