Botswana vs Jordan: Quasi-Money, Money plus Quasi-Money
Botswana
39.04 billion
in 2008
Jordan
33.45 billion
in 2016
Botswana rank
123rd
Jordan rank
124th
Quasi-Money, Money plus Quasi-Money over time
- Botswana
- Jordan
How they compare
Botswana currently reports 39.04 billion against 33.45 billion in Jordan, a difference of 5.59 billion.
That makes Botswana's figure about 1.2 times Jordan's.
The two have swapped places 1 time across 33 shared years of data; in 1976 it was Jordan ahead.
Botswana ranks 123rd and Jordan ranks 124th of 163 countries.
Across the 4 decades both report, Botswana averaged higher in 1 and Jordan in 3.
Head to head by decade
| Decade | Botswana | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 128.67 million | 559.04 million | 430.37 million | Jordan |
| 1980s | 659.66 million | 1.93 billion | 1.27 billion | Jordan |
| 1990s | 3.37 billion | 4.70 billion | 1.34 billion | Jordan |
| 2000s | 18.07 billion | 11.40 billion | 6.67 billion | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher quasi-money, money plus quasi-money, Botswana or Jordan?
- Botswana, at 39.04 billion against 33.45 billion in Jordan as of 2008.
- What is the difference in quasi-money, money plus quasi-money between Botswana and Jordan?
- 5.59 billion, with Botswana ahead.
- How many years of comparable data are there for Botswana and Jordan?
- 33 years are reported by both, from 1976 to 2008.
- How do Botswana and Jordan rank globally for quasi-money, money plus quasi-money?
- Botswana ranks 123rd and Jordan ranks 124th 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.