Insights On Bandar Puteri Puchong
Number of Transactions and House Type Breakdown
From 2010 to 2013, Bandar Puteri Puchong experienced a period of consistent activity in property transactions, with a gradual increase over time. Between 2015 and 2020, the market experienced a noticeable dip, reflecting a period of lower activity. However, from 2021 to 2023, there was a resurgence in transactions.
In terms of property type, apartments accounted for the largest share of transactions, making up over 35% of the total, followed by terrace houses at 28%. Condominiums contributed 25%, while service residences represented about 11% of the transactions.
- Graph based on selective NAPIC data
Apartment Price Trend Analysis
For the apartment market segment in Bandar Puteri Puchong, the price distribution is predominantly concentrated within the sub-RM 500,000 range. Between 2010 and 2013, transactions exhibit a more consistent pattern, with data points clustering closely together.
However, from 2015 onwards, a noticeable shift occurs, with data points diverging into two distinct groups. This is characteristic of markets where multiple price points or property types (such as larger units or newer developments) become available, providing buyers with more varied options. Any isolated data points that appear randomly are considered outliers and not representative of typical market trends.
- Graph based on selective NAPIC data
- Each point represents a transaction
Terrace Price Trend Analysis
For the terrace home market in Bandar Puteri Puchong, transaction prices are more spread out in price (vertically) compared to the apartment price range, as seen earlier. This reflects the varied characteristics of terrace homes, such as corner lots, larger land sizes, or significant renovations, which can influence price.
Between 2010 and 2015, the midpoint of transactions increased to around RM 1,000,000 and remained near that value for the next few years. However, since 2021, there has been a noticeable shift, with prices gradually increasing. Any isolated data points that appear sporadically are considered outliers and do not reflect typical market behavior.
- Graph based on selective NAPIC data
- Each point represents a transaction
Condominium & Service Residence Price Trend Analysis
The condominium and service residence market shows a much more varied distribution over the years. From 2010 to 2014, transaction activity was strong, as reflected in the earlier transaction count chart, with properties generally priced within a similar range. However, from 2015 to 2018, transaction numbers declined compared to the previous period.
From 2019 onwards, transaction activity began to pick up again, with transaction points becoming more grouped at different price levels, indicating the influence of new launches and increased market activity. By 2023, most of the transaction prices were concentrated between RM 800,000 and RM 1,200,000, with remaining older properties priced at roughly RM 600,000 and below.
- Graph based on selective NAPIC data
- Each point represents a transaction
Investment Analysis
Metric | Terrace | Apartment | Condominium/Service Residence |
---|---|---|---|
Most Transacted Size Range (2010 to 2023) | 1500 - 2000 (Sq Ft) | 500 - 1000 (Sq Ft) | 950 - 1500 (Sq Ft) |
Total Transaction Value |
2010: RM 54 mil 2023: RM 141 mil (Includes Townhouse for 2023) |
2010: RM 12 mil 2023: RM 22 mil |
2010: RM 15 mil 2023: RM 139 mil |
Median Price Growth |
2021: RM 890,000 2023: RM 1,038,000 Growth : 16.63% |
2021: RM 273,000 2023: RM 300,000 Growth : 9.89% |
2021: RM 797,000 2023: RM 870,000 Growth : 9.16% |
CAGR (2021 - 2023) | 5.26% | 3.19% | 2.96% |
Typical Price Range (2023) |
Min: RM 750,000 Max: RM 1,500,00 |
Min: RM 125,000 Max: RM 450,00 |
Range 1: RM 300k - 600k Range 2: RM 800k - 1.2 mil |
- Table information based on selective NAPIC data
Disclaimer
This document, created by City Valuers & Consultants, is intended for general informational purposes only and does not establish any advisory, fiduciary, or professional relationship. While based on established methods, it is not a definitive forecast, appraisal, or valuation, and we make no warranties or representations as to the data's current accuracy or completeness. The data presented includes third-party information, which could contain inaccuracies or be outdated, and has not been independently verified. We disclaim liability for any errors, omissions, or inaccuracies and any loss or damage arising from reliance on this information.