Taman Orkid

Jalan Singkat, Seremban, 70100 Seremban, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM799,000
4,596 sqft
RM174 PSF
RM799,000
4,219 sqft
RM189 PSF
RM830,000
4,499 sqft
RM184 PSF
RM769,000
3,800 sqft
RM202 PSF
RM801,000
3,940 sqft
RM203 PSF
RM746,000
4,069 sqft
RM183 PSF
RM789,000
4,564 sqft
RM173 PSF
RM800,000
4,585 sqft
RM174 PSF
RM440,000
1,776 sqft
RM248 PSF
RM545,000
1,776 sqft
RM307 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Orkid

What’s happening in Taman Orkid?

No posts about Taman Orkid yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM794,000

RM184 psf

Median transaction price

Taman Orkid
© OpenStreetMap · CARTO

Jalan Singkat, Seremban, 70100 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Orkid in Seremban, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, with a median price of RM794K and a median price per square foot (PSF) of RM189.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM794K, with most transactions falling within a stable range of RM778K to RM810K, and a typical market range of RM770K to RM818K.

Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.

For price per square foot, the median is RM189, with most transactions between RM179 and RM199. The usual range is RM176.99 to RM201.74, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.75 and an average deviation (MAD) of RM10 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.