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SG Property Intel
ApartmentFreeholdOutside Central RegionInvestment score 68

Evania

UPPER PAYA LEBAR ROAD · D19

Median PSF · 12m

S$1,548

Median price · 12m

S$1.78M

Latest sale

S$1.65M

Jun 2026

1-year change

+6.5%

Sales · 12m

4

11 all time

Gross yield

3.70%

4 leases

Price history

How this development has traded

Median transacted price and price per square foot by quarter, from every sale on record here.

Change over window
+57.4%
Annualised
+22.3%
Transactions
11
1 year
+6.5%
3 years p.a.
+6.0%
5 years p.a.
Median size
1,292 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureEvaniaD19 medianDifference
Median PSFS$1,548S$1,626-4.8%
Median priceS$1.78MS$1.58M+12.5%
Gross rental yield3.70%3.42%+0.3 pts
1-year price change+6.5%+4.9%+1.6 pts

This development trades about 5% below the D19 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,450

Contracts · 12m

4

Implied annual rent

S$53K

Gross yield

3.70%

Unit typeContractsMedian rent
3 bedroom3S$4,800
2 bedroom1S$3,600

Investment analysis

Investment score 68 / 100

Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.

68/100

100% of the scoring weight measurable

Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.

  • Liquidityweight 15%82

    Transactions in the last 12 months — how easily it trades.

  • Locationweight 15%77

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Bartley MRT at 360 m.

  • Price momentumweight 18%76

    Three-year annualised change in median PSF, or one year where three is unavailable.

  • Rental yieldweight 20%69

    Gross yield against every other development in its segment.

  • Valuationweight 22%54

    How its median price per square foot compares with its own district.

  • Supply riskweight 10%46

    Upcoming units recorded in the same district. Higher score means less competing supply.

The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.

Location

Nearby amenities

Rail stations

  • Bartley MRT360 m
  • Tai Seng MRT1.0 km
  • Serangoon MRT1.3 km
  • Serangoon Interchange MRT1.4 km

Schools within 2 km

  • Bartley Secondary Schoolsecondary (s1-s5)350 m
  • Maris Stella High Schoolmixed level (p1-s4)590 m
  • Paya Lebar Methodist Girls' School (Primary)primary740 m
  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)840 m
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)910 m
  • Cedar Primary Schoolprimary1.2 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units2.0 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jun 2026ApartmentS$1,645,0001,076 sqftS$1,52801-05
May 2026ApartmentS$1,910,0001,227 sqftS$1,55701-05
Apr 2026ApartmentS$1,470,000936 sqftS$1,57001-05
Nov 2025ApartmentS$2,120,0001,378 sqftS$1,53901-05
Apr 2025ApartmentS$2,065,0001,421 sqftS$1,45301-05
Aug 2024ApartmentS$1,980,0001,421 sqftS$1,39401-05
Jul 2023ApartmentS$1,650,0001,227 sqftS$1,34501-05
Mar 2023ApartmentS$1,680,0001,292 sqftS$1,30101-05
Oct 2022ApartmentS$1,858,0001,453 sqftS$1,27901-05
Aug 2022ApartmentS$1,300,000990 sqftS$1,31301-05
Oct 2021ApartmentS$1,820,0001,841 sqftS$98906-10

Important

Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.