Congo vs Malaysia: Broad Money
Congo
2.64 trillion Domestic currency
in 2023
Malaysia
2.44 trillion Domestic currency
in 2025
Congo rank
59th
Malaysia rank
61st
Broad Money over time
- Congo
- Malaysia
How they compare
Congo currently reports 2.64 trillion Domestic currency against 2.44 trillion Domestic currency in Malaysia, a difference of 198.68 billion Domestic currency.
That makes Congo's figure about 1.1 times Malaysia's.
The two have swapped places 3 times across 23 shared years of data; in 2001 it was Malaysia ahead.
Congo ranks 59th and Malaysia ranks 61st of 144 countries.
Across the 3 decades both report, Congo averaged higher in 2 and Malaysia in 1.
Head to head by decade
| Decade | Congo | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 534.91 billion Domestic currency | 708.19 billion Domestic currency | 173.28 billion Domestic currency | Malaysia |
| 2010s | 1.93 trillion Domestic currency | 1.51 trillion Domestic currency | 426.26 billion Domestic currency | Congo |
| 2020s | 2.33 trillion Domestic currency | 2.10 trillion Domestic currency | 230.91 billion Domestic currency | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher broad money, Congo or Malaysia?
- Congo, at 2.64 trillion Domestic currency against 2.44 trillion Domestic currency in Malaysia as of 2023.
- What is the difference in broad money between Congo and Malaysia?
- 198.68 billion Domestic currency, with Congo ahead.
- How many years of comparable data are there for Congo and Malaysia?
- 23 years are reported by both, from 2001 to 2023.
- How do Congo and Malaysia rank globally for broad money?
- Congo ranks 59th and Malaysia ranks 61st of 144 countries.
- Where does this data come from?
- International Monetary Fund, published as Broad Money (Domestic currency). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Monetary and Financial Statistics (MFS), Monetary Aggregates dataset presents monetary aggregates based on standardized SRF data, while also reflecting country-specific components aligned with national definitions.