Taman Nusantara Commercial Property Prices (2026)

A shop or office in Taman Nusantara typically sells for RM 374 per sq ft of floor space, based on 41 sales from 2021 to 2026. That is 11% more than the typical shop or office in Gelang Patah & Tanjung Pelepas, and 19% more than across Malaysia.

Before you buy or sell in Taman Nusantara

Each marker is the typical price per sq ft.
What does "typical" mean here?

Line up every sale from cheapest to most expensive and take the one in the middle: half sold for more, half for less. Unlike an average, one RM 40 million mega-deal cannot drag it up.

Prices by property type in Taman Nusantara

Property typeSalesTypical priceTypical per sq ft
2-storey shop19RM 1.2MRM 374
3-storey shop19RM 1.5MRM 363

Types with fewer than 10 sales are left out, because a handful of deals can swing the figure.

Freehold or leasehold in Taman Nusantara

Selling a shop or office in Taman Nusantara?

Jay Kew (REN57969) checks your price against the sales on this page. Free.

Questions about Taman Nusantara shop and office prices

What is the average shop price per sq ft in Taman Nusantara?

The typical shop or office in Taman Nusantara sold for RM 374 per sq ft of floor space from 2021 to 2026, based on 41 sales.

How much does a 2-storey shop cost in Taman Nusantara?

A typical 2-storey shop in Taman Nusantara sold for RM 1.2M, or RM 374 per sq ft, based on 19 sales.

How these figures are worked out

Source: NAPIC Open Sales Data, sales recorded from November 2021 to January 2026. "Typical" is the median: half of the sales were higher, half lower. "Half of sales between" is the 25th to 75th percentile. We leave out sales under RM 50 or over RM 5,000 per sq ft, and landed sales whose recorded floor space is under a fifth of the land (usually the office floor only). Strata units use their unit area. A place needs 30 sales for a page, a type 10 sales for a row and a year 20 sales for a bar. NAPIC adds late sales for months, so the latest year is incomplete. Last updated 10 October 2026. Figures prepared by Jasper Wu (data) and Jay Kew, REN57969.