Tunisia vs Zimbabwe: Claims on private sector, flow
Tunisia
812.00 million current LCU
in 1995
Zimbabwe
1.05 billion current LCU
in 2011
Tunisia rank
41st
Zimbabwe rank
39th
Claims on private sector, flow over time
- Tunisia
- Zimbabwe
How they compare
Zimbabwe currently reports 1.05 billion current LCU against 812.00 million current LCU in Tunisia, a difference of 234.23 million current LCU.
That makes Zimbabwe's figure about 1.3 times Tunisia's.
The two have swapped places 5 times across 9 shared years of data; in 1987 it was Tunisia ahead.
Tunisia ranks 41st and Zimbabwe ranks 39th of 50 countries.
Tunisia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Tunisia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 222.67 million current LCU | 155.20 million current LCU | 67.47 million current LCU | Tunisia |
| 1990s | 601.50 million current LCU | 240.81 million current LCU | 360.69 million current LCU | Tunisia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher claims on private sector, flow, Tunisia or Zimbabwe?
- Zimbabwe, at 1.05 billion current LCU against 812.00 million current LCU in Tunisia as of 2011.
- What is the difference in claims on private sector, flow between Tunisia and Zimbabwe?
- 234.23 million current LCU, with Zimbabwe ahead.
- How many years of comparable data are there for Tunisia and Zimbabwe?
- 9 years are reported by both, from 1987 to 1995.
- How do Tunisia and Zimbabwe rank globally for claims on private sector, flow?
- Tunisia ranks 41st and Zimbabwe ranks 39th of 50 countries.
- Where does this data come from?
- International Monetary Fund, International Financial Statistics and data files, published as Claims on private sector, flow (current LCU). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Change in domestic credit to the private sector covers changes in claims on private non-financial corporations, households, and non-profit institutions. Data; Annual flow, local currencies.