District 27

Yishun, Sembawang

Properties and insights for Singapore's District 27 Yishun, Sembawang.

Avg PSF

$1,426

Min Price

$670K

Max Price

$7.59M

Transactions (24m)

1,794

Market & Investment Analysis

District 27 recorded 881 transactions, indicating a consistent level of demand within the Yishun and Sembawang sectors. The median price for the district is $1,475,000, supported by a median PSF of $1,459.126. These figures reflect the current pricing trends for residential supply within this Outside Central Region (OCR) location.

Compare with Nearby Districts

DistrictAvg PSFTransactions (24m)vs Current
D27 Yishun, Sembawang(current)$1,4261,794
D26 Mandai, Upper Thomson$2,1432,158+50%
D28 Seletar, Yio Chu Kang$1,5811,030+11%
D25 Woodlands, Admiralty$1,443854+1%

PSF comparison based on private non-landed transactions in the last 24 months. Green = lower PSF than current district.

Lifestyle & Neighbourhood

The district is integrated with transport infrastructure including the Khatib, Yishun, Canberra, and Sembawang MRT stations. These amenities provide essential connectivity for residents living in the northern residential estates.

Frequently Asked Questions

What is the median price for a property in District 27?
The median price for properties in District 27 is $1,475,000. This is based on a transaction volume of 881 units recorded in the area.
What is the median PSF for Yishun and Sembawang?
The median PSF for District 27, covering Yishun and Sembawang, is $1,459.126. This figure serves as a benchmark for property valuations in this OCR district.
Which MRT stations serve District 27?
District 27 is served by four MRT stations: Khatib, Yishun, Canberra, and Sembawang. These provide rail access across the district's primary residential zones.
How many transactions were recorded in District 27?
There were 881 transactions recorded in District 27. This volume reflects the market activity for residential properties in the Yishun and Sembawang planning areas.

District analysis generated with AI assistance using real transaction data. Verify all figures independently before making decisions.