Indonesia vs Zimbabwe: Quasi-Money, Money plus Quasi-Money
Indonesia
1,892.56 trillion
in 2008
Zimbabwe
214,403,000,000.00 trillion
in 2008
Indonesia rank
4th
Zimbabwe rank
1st
Quasi-Money, Money plus Quasi-Money over time
- Indonesia
- Zimbabwe
How they compare
Zimbabwe currently reports 214,403,000,000.00 trillion against 1,892.56 trillion in Indonesia, a difference of 214,402,998,107.44 trillion.
The two have swapped places 1 time across 30 shared years of data; in 1979 it was Indonesia ahead.
Indonesia ranks 4th and Zimbabwe ranks 1st of 163 countries.
Across the 4 decades both report, Indonesia averaged higher in 3 and Zimbabwe in 1.
Head to head by decade
| Decade | Indonesia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 5.22 trillion | 666,600 | 5.22 trillion | Indonesia |
| 1980s | 24.93 trillion | 2.30 million | 24.93 trillion | Indonesia |
| 1990s | 269.01 trillion | 18.97 million | 269.01 trillion | Indonesia |
| 2000s | 1,173.53 trillion | 23,822,555,616.63 trillion | 23,822,554,443.11 trillion | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher quasi-money, money plus quasi-money, Indonesia or Zimbabwe?
- Zimbabwe, at 214,403,000,000.00 trillion against 1,892.56 trillion in Indonesia as of 2008.
- What is the difference in quasi-money, money plus quasi-money between Indonesia and Zimbabwe?
- 214,402,998,107.44 trillion, with Zimbabwe ahead.
- How many years of comparable data are there for Indonesia and Zimbabwe?
- 30 years are reported by both, from 1979 to 2008.
- How do Indonesia and Zimbabwe rank globally for quasi-money, money plus quasi-money?
- Indonesia ranks 4th and Zimbabwe ranks 1st 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.