Mauritius vs Niger: Broad Money, M5
Mauritius
1.06 trillion Domestic currency
in 2025
Niger
2.18 trillion Domestic currency
in 2025
Mauritius rank
44th
Niger rank
41st
Broad Money, M5 over time
- Mauritius
- Niger
How they compare
Niger currently reports 2.18 trillion Domestic currency against 1.06 trillion Domestic currency in Mauritius, a difference of 1.12 trillion Domestic currency.
That makes Niger's figure about 2.1 times Mauritius's.
Across all 22 years both countries report, Niger has been ahead every year.
Mauritius ranks 44th and Niger ranks 41st of 74 countries.
Niger has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Mauritius | Niger | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 230.81 billion Domestic currency | 300.87 billion Domestic currency | 70.06 billion Domestic currency | Niger |
| 2010s | 432.33 billion Domestic currency | 973.07 billion Domestic currency | 540.74 billion Domestic currency | Niger |
| 2020s | 862.02 billion Domestic currency | 1.84 trillion Domestic currency | 978.20 billion Domestic currency | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher broad money, m5, Mauritius or Niger?
- Niger, at 2.18 trillion Domestic currency against 1.06 trillion Domestic currency in Mauritius as of 2025.
- What is the difference in broad money, m5 between Mauritius and Niger?
- 1.12 trillion Domestic currency, with Niger ahead.
- How many years of comparable data are there for Mauritius and Niger?
- 22 years are reported by both, from 2004 to 2025.
- How do Mauritius and Niger rank globally for broad money, m5?
- Mauritius ranks 44th and Niger ranks 41st 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.