Viet Nam vs Zimbabwe: Domestic Claims, Claims on Private Sector
Viet Nam
12,023.00 trillion
in 2022
Zimbabwe
5,427,390,000,000.00 trillion
in 2008
Viet Nam rank
2nd
Zimbabwe rank
1st
Domestic Claims, Claims on Private Sector over time
- Viet Nam
- Zimbabwe
How they compare
Zimbabwe currently reports 5,427,390,000,000.00 trillion against 12,023.00 trillion in Viet Nam, a difference of 5,427,389,987,977.00 trillion.
The two have swapped places 1 time across 16 shared years of data; in 1992 it was Viet Nam ahead.
Viet Nam ranks 2nd and Zimbabwe ranks 1st of 178 countries.
Across the 2 decades both report, Viet Nam averaged higher in 1 and Zimbabwe in 1.
Head to head by decade
| Decade | Viet Nam | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 54.14 trillion | 22.42 million | 54.14 trillion | Viet Nam |
| 2000s | 549.58 trillion | 603,043,333,401.56 trillion | 603,043,332,851.98 trillion | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher domestic claims, claims on private sector, Viet Nam or Zimbabwe?
- Zimbabwe, at 5,427,390,000,000.00 trillion against 12,023.00 trillion in Viet Nam as of 2008.
- What is the difference in domestic claims, claims on private sector between Viet Nam and Zimbabwe?
- 5,427,389,987,977.00 trillion, with Zimbabwe ahead.
- How many years of comparable data are there for Viet Nam and Zimbabwe?
- 16 years are reported by both, from 1992 to 2008.
- How do Viet Nam and Zimbabwe rank globally for domestic claims, claims on private sector?
- Viet Nam ranks 2nd and Zimbabwe ranks 1st of 178 countries.
- Where does this data come from?
- International Monetary Fund, published as Domestic Claims, Claims on Private Sector (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.