Exploring Property Prices in Malaysia: A Data-Driven Analysis

The quest for a perfect home often begins with a seemingly simple yet fundamental question: How much should you pay for it? Whether you're a first-time homebuyer, an investor, or upgrading to a larger space, determining the right price is crucial. Planning to buy a house can be daunting, especially when trying to establish a reasonable price in today’s market.

The answer to this question forms the financial cornerstone upon which your homeownership journey is built. But finding the answer isn't as straightforward as it may seem. I embarked on a research journey, using data science techniques and publicly available housing listings to gain deeper insights into property prices across different states in Malaysia. In this post, I'll walk you through my process and share the findings of this data-driven analysis.

What You'll Discover:

  • Informed Pricing: Discover the distribution of property prices across diverse regions in Malaysia. Gain insights that can help you determine suitable property prices for your potential purchases.
  • Refined Filtering: Customize your exploration by selecting specific states and districts. Understand the nuanced web of property prices across different locales.

Please note, this analysis is for educational purposes only and serves as a practice for data analysis techniques. The data presented might not fully reflect the complexities of the property market. Real estate values are influenced by many factors, so consider this a starting point for further research.

Housing Price Distribution by State or District

Use the dropdown menu below to select a district and observe the price distribution of properties in that area.

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Median: {{ formatCurrency(analysisData.median) }}

Limited data 😢

The property details provided are based on a small dataset and may not cover all property types, locations, or market conditions.

Understanding Mean and Median

Mean: The mean price in this dataset tends to be higher, calculated by summing all prices and dividing by the number of properties. However, outliers can skew the mean, so it may not always represent a typical property price.

Median: The median, on the other hand, is the middle value when all prices are sorted. It’s less affected by extreme values and provides a more reliable indicator of the "typical" price.

Key Findings

Through analyzing property price distributions, several valuable insights emerged. These findings enhanced my understanding of both data analysis and the real estate market. Here are some pivotal takeaways:

Penang’s Housing Challenge

Penang's popularity has significantly driven up property prices, making it one of the more expensive regions for homebuyers in Malaysia. The high demand, especially in and around George Town, has intensified competition, raising price points. This can pose a substantial challenge for first-time homebuyers.

The data tells us a compelling story about the property market in Penang, offering a clearer picture of the difficulties people face in purchasing homes. It's a prime example of how data can help explain real-world challenges.

The RM1,000,000 Home

The analysis uncovered an interesting trend: a drop in buyer interest for properties priced between RM 1 million and 1.1 million. This price range seems to act as a psychological threshold, dividing buyers into two categories:

Aspiring Homeowners Discerning Buyers
First-time buyers or those upgrading from smaller properties tend to avoid homes in the RM 1 million range, viewing it as a significant financial leap. Higher-end buyers, those with substantial purchasing power, are drawn to this price range, often in search of larger or more luxurious properties with specific features and amenities.

This shows the power of pricing psychology. Consider pricing just below this threshold (e.g., RM 999,999) or possibly above it (e.g., RM 1.3 million) for a better chance of selling.

Uncovering the "Typical" Prices

One of the most valuable lessons in this analysis is understanding how to determine the "typical" price using data rather than guesswork. This knowledge can empower homebuyers to make smarter purchasing decisions by identifying fair prices in the market.

The next time someone asks about buying a house, you can impress them with data-driven insights into how much prices have shifted!

Stay Tuned!

I hope this analysis provides you with valuable insights into Malaysia's property market. I’ll be sharing more data-driven analyses and uncovering deeper insights into the property market in future posts.

Wei-Ming Thor

I create practical guides on Software Engineering, Data Science, and Machine Learning.

Creator of ApX Machine Learning Platform

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Full-stack engineer who builds web and mobile apps. Now, exploring Machine Learning and Data Engineering. Read more

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