Brunei vs Seychelles: Broad Money, M5 (Domestic currency)
Brunei
17.52 billion Domestic currency
in 2025
Seychelles
29.77 billion Domestic currency
in 2025
Brunei rank
68th
Seychelles rank
66th
Broad Money, M5 (Domestic currency) over time
- Brunei
- Seychelles
How they compare
Seychelles currently reports 29.77 billion Domestic currency against 17.52 billion Domestic currency in Brunei, a difference of 12.25 billion Domestic currency.
That makes Seychelles's figure about 1.7 times Brunei's.
The two have swapped places 1 time across 10 shared years of data; in 2016 it was Brunei ahead.
Brunei ranks 68th and Seychelles ranks 66th of 74 countries.
Seychelles has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Brunei | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 14.90 billion Domestic currency | 16.53 billion Domestic currency | 1.63 billion Domestic currency | Seychelles |
| 2020s | 16.46 billion Domestic currency | 25.58 billion Domestic currency | 9.12 billion Domestic currency | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher broad money, m5, Brunei or Seychelles?
- Seychelles, at 29.77 billion Domestic currency against 17.52 billion Domestic currency in Brunei as of 2025.
- What is the difference in broad money, m5 between Brunei and Seychelles?
- 12.25 billion Domestic currency, with Seychelles ahead.
- How many years of comparable data are there for Brunei and Seychelles?
- 10 years are reported by both, from 2016 to 2025.
- How do Brunei and Seychelles rank globally for broad money, m5?
- Brunei ranks 68th and Seychelles ranks 66th of 74 countries.
- Where does this data come from?
- International Monetary Fund, published as Broad Money, M5 (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.