Argentina vs Tanzania: Domestic Claims (Depository Corporations Survey, Domestic currency)
Argentina
4.08 trillion
in 2017
Tanzania
4.22 trillion
in 2008
Argentina rank
38th
Tanzania rank
37th
Domestic Claims (Depository Corporations Survey, Domestic currency) over time
- Argentina
- Tanzania
How they compare
Tanzania currently reports 4.22 trillion against 4.08 trillion in Argentina, a difference of 140.63 billion.
Across all 38 years both countries report, Tanzania has been ahead every year.
Argentina ranks 38th and Tanzania ranks 37th of 178 countries.
Tanzania has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Argentina | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.1615 | 848.16 million | 848.16 million | Tanzania |
| 1970s | 82.27 | 6.61 billion | 6.61 billion | Tanzania |
| 1980s | 79,320 | 29.48 billion | 29.48 billion | Tanzania |
| 1990s | 67.07 billion | 558.53 billion | 491.46 billion | Tanzania |
| 2000s | 183.73 billion | 1.71 trillion | 1.53 trillion | Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher domestic claims, Argentina or Tanzania?
- Tanzania, at 4.22 trillion against 4.08 trillion in Argentina as of 2008.
- What is the difference in domestic claims between Argentina and Tanzania?
- 140.63 billion, with Tanzania ahead.
- How many years of comparable data are there for Argentina and Tanzania?
- 38 years are reported by both, from 1966 to 2008.
- How do Argentina and Tanzania rank globally for domestic claims?
- Argentina ranks 38th and Tanzania ranks 37th of 178 countries.
- Where does this data come from?
- International Monetary Fund, published as Domestic Claims (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.