Fiji vs Suriname: Quasi-Money, Money plus Quasi-Money
Fiji
3.44 billion
in 2010
Suriname
4.13 billion
in 2008
Fiji rank
150th
Suriname rank
148th
Quasi-Money, Money plus Quasi-Money over time
- Fiji
- Suriname
How they compare
Suriname currently reports 4.13 billion against 3.44 billion in Fiji, a difference of 694.79 million.
That makes Suriname's figure about 1.2 times Fiji's.
The two have swapped places 1 time across 42 shared years of data; in 1967 it was Fiji ahead.
Fiji ranks 150th and Suriname ranks 148th of 163 countries.
Fiji has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Fiji | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 48.41 million | 109,963 | 48.30 million | Fiji |
| 1970s | 164.97 million | 321,933 | 164.65 million | Fiji |
| 1980s | 511.77 million | 1.69 million | 510.08 million | Fiji |
| 1990s | 1.33 billion | 79.83 million | 1.25 billion | Fiji |
| 2000s | 2.28 billion | 2.00 billion | 283.12 million | Fiji |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher quasi-money, money plus quasi-money, Fiji or Suriname?
- Suriname, at 4.13 billion against 3.44 billion in Fiji as of 2008.
- What is the difference in quasi-money, money plus quasi-money between Fiji and Suriname?
- 694.79 million, with Suriname ahead.
- How many years of comparable data are there for Fiji and Suriname?
- 42 years are reported by both, from 1967 to 2008.
- How do Fiji and Suriname rank globally for quasi-money, money plus quasi-money?
- Fiji ranks 150th and Suriname ranks 148th of 163 countries.
- Where does this data come from?
- International Monetary Fund, published as Quasi-Money, Money plus Quasi-Money (Depository Corporations Survey, 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), Non-standard dataset provides discontinued, vintage country-reported financial data that are not harmonized and use country-specific terms.