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SG Property Intel
Semi-detachedFreeholdOutside Central RegionInvestment score 44

Picardy Gardens

JALAN PARI BURONG · D16

Median PSF · 12m

S$1,421

Median price · 12m

S$2.07M

Latest sale

S$1.75M

Jan 2026

1-year change

-19.5%

Sales · 12m

2

9 all time

Gross yield

2.02%

7 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
+33.0%
Annualised
+15.3%
Transactions
9
1 year
-19.5%
3 years p.a.
-2.3%
5 years p.a.
Median size
2,310 sqft

Against the neighbourhood

How it compares within D16

Bedok, Upper East Coast, Eastwood, Kew Drive. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasurePicardy GardensD16 medianDifference
Median PSFS$1,421S$1,517-6.3%
Median priceS$2.07MS$1.60M+28.9%
Gross rental yield2.02%4.08%-2.1 pts
1-year price change-19.5%-1.3%-18.1 pts

This development trades about 6% below the D16 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,300

Contracts · 12m

7

Implied annual rent

S$64K

Gross yield

2.02%

Unit typeContractsMedian rent
All units7S$5,300

Investment analysis

Investment score 44 / 100

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

44/100

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%69

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

  • Valuationweight 22%65

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

  • Supply riskweight 10%62

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

  • Locationweight 15%43

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Tanah Merah Interchange MRT at 750 m.

  • Rental yieldweight 20%22

    Gross yield against every other development in its segment.

  • Price momentumweight 18%12

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

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

  • Tanah Merah Interchange MRT750 m
  • Tanah Merah MRT790 m
  • Simei MRT1.3 km
  • Bedok Reservoir MRT1.5 km

Schools within 2 km

  • St. Anthony'S Canossian Secondary Schoolsecondary (s1-s5)470 m
  • St. Anthony'S Canossian Primary Schoolprimary560 m
  • Anglican High Schoolsecondary (s1-s4)680 m
  • Changkat Primary Schoolprimary1.0 km
  • Changkat Changi Secondary Schoolsecondary (s1-s5)1.0 km
  • Bedok South Secondary Schoolsecondary (s1-s5)1.1 km

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

Supply

Upcoming competition

  • SCENECA RESIDENCEMCC Land (TMK) Pte Ltd268 units680 m
  • BAGNALL HAUSRL Bagnall Pte Ltd113 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jan 2026ApartmentS$1,750,0001,302 sqftS$1,34401-05
Oct 2025ApartmentS$2,388,0001,593 sqftS$1,49901-05
Aug 2025TerraceS$4,250,0002,310 sqftS$1,840-
Nov 2024Semi-detachedS$7,000,0004,143 sqftS$1,690-
Mar 2024Semi-detachedS$6,500,0003,552 sqftS$1,830-
Jan 2024TerraceS$3,940,0002,310 sqftS$1,706-
Jun 2023TerraceS$3,888,8882,310 sqftS$1,684-
Feb 2023Semi-detachedS$5,400,0003,954 sqftS$1,366-
Mar 2022Semi-detachedS$5,500,0005,442 sqftS$1,011-

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.