Brunei Darussalam vs Sierra Leone: Broad Money, M5
Broad Money, M5 over time
- Brunei Darussalam
- Sierra Leone
How they compare
Sierra Leone currently reports 38.15 billion Domestic currency against 17.52 billion Domestic currency in Brunei Darussalam, a difference of 20.62 billion Domestic currency.
That makes Sierra Leone's figure about 2.2 times Brunei Darussalam's.
The two have swapped places 1 time across 11 shared years of data; in 2015 it was Brunei Darussalam ahead.
Brunei Darussalam ranks 68th and Sierra Leone ranks 65th of 74 countries.
Across the 2 decades both report, Brunei Darussalam averaged higher in 1 and Sierra Leone in 1.
Head to head by decade
| Decade | Brunei Darussalam | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 14.79 billion Domestic currency | 6.76 billion Domestic currency | 8.03 billion Domestic currency | Brunei Darussalam |
| 2020s | 16.46 billion Domestic currency | 23.97 billion Domestic currency | 7.51 billion Domestic currency | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher broad money, m5, Brunei Darussalam or Sierra Leone?
- Sierra Leone, at 38.15 billion Domestic currency against 17.52 billion Domestic currency in Brunei Darussalam as of 2025.
- What is the difference in broad money, m5 between Brunei Darussalam and Sierra Leone?
- 20.62 billion Domestic currency, with Sierra Leone ahead.
- How many years of comparable data are there for Brunei Darussalam and Sierra Leone?
- 11 years are reported by both, from 2015 to 2025.
- How do Brunei Darussalam and Sierra Leone rank globally for broad money, m5?
- Brunei Darussalam ranks 68th and Sierra Leone ranks 65th 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.