Wednesday, 28 October 2026

GDP Growth of Southeast Asian Countries (1994-2025)

 

Three decades. One region. Very different economic stories. Just have a look at Southeast Asia in 1994. Malaysia had a GDP of around US$74 billion. By 2025, it had grown to roughly US$437 billion — about 5.9 times larger. That sounds impressive.

And it is. But look at the rest of the region.

🇻🇳 Vietnam: 31.6×
🇲🇲 Myanmar: 19.0×
🇰🇭 Cambodia: 17.8×
🇱🇦 Laos: 11.2×
🇮🇩 Indonesia: 8.5×
🇸🇬 Singapore: 7.2×
🇵🇭 Philippines: 6.7×
🇲🇾 Malaysia: 5.9×
🇹🇭 Thailand: 3.9×

So here’s the question I find more interesting: It’s not simply, “Did the Malaysian economy grow?” It did. The question is: Why did other economies grow faster?

Over three decades, countries made very different choices about:

• industrialization
• exports and global value chains
• infrastructure
• human capital
• investment
• productivity
• technology
• institutions
• and the sectors they chose to develop

And this is where GDP growth becomes more than just a number on a chart. Because economic growth eventually shows up in everyday life: more productive jobs, higher incomes, better infrastructure, more businesses, and greater opportunities.

But there’s another important caveat.

A larger GDP does not automatically mean people are better off. These are nominal GDP figures, so population growth, inflation, and exchange rates matter. And GDP per capita can tell a very different story from total GDP.

Still, the long-term comparison raises a question worth asking:

If our neighbours were able to expand their economies several times over, what can Malaysia learn from the differences in their growth paths?

We shouldn’t look at the numbers simply to celebrate or criticize.

We should look at them to understand what happened. Because the real economic question isn’t “Who grew the most?”

It’s “What made that growth possible—and can we replicate the parts that worked?”

 

Source: SEAsia.stats research. 2025 figures based on projections from the World Bank, IMF,

and other economic databases,as indicated in the infographic.

 

Reference:

Post by Thomas Lzaro III on LinkedIn

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