Malawi vs Peru: Domestic Claims, Claims on Other Banking or Other Financial
Malawi
0
in 2016
Peru
0
in 2016
Malawi rank
15th
Peru rank
15th
Domestic Claims, Claims on Other Banking or Other Financial over time
- Malawi
- Peru
How they compare
Malawi currently reports 0 against 0 in Peru, a difference of 0.
The two have swapped places 10 times across 52 shared years of data; in 1965 it was Peru ahead.
Malawi ranks 15th and Peru ranks 15th of 29 countries.
Across the 6 decades both report, Malawi averaged higher in 5 and Peru in 1.
Head to head by decade
| Decade | Malawi | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 100,000 | 2.72 | 99,997 | Malawi |
| 1970s | 2.71 million | 31.29 | 2.71 million | Malawi |
| 1980s | 885,100 | 434,549 | 450,551 | Malawi |
| 1990s | 11.62 million | 64.29 million | 52.67 million | Peru |
| 2000s | 13.12 million | 0 | 13.12 million | Malawi |
| 2010s | 11.12 million | 0 | 11.12 million | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher domestic claims, claims on other banking or other financial, Malawi or Peru?
- Malawi, at 0 against 0 in Peru as of 2016.
- What is the difference in domestic claims, claims on other banking or other financial between Malawi and Peru?
- 0, with Malawi ahead.
- How many years of comparable data are there for Malawi and Peru?
- 52 years are reported by both, from 1965 to 2016.
- How do Malawi and Peru rank globally for domestic claims, claims on other banking or other financial?
- Malawi ranks 15th and Peru ranks 15th of 29 countries.
- Where does this data come from?
- International Monetary Fund, published as Domestic Claims, Claims on Other Banking or Other Financial Institutions (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.