Croatia vs Moldova: Domestic Claims, Claims on Other Financial Corporations (Depository)
Croatia
1.59 billion
in 2008
Moldova
1.83 billion
in 2008
Croatia rank
51st
Moldova rank
50th
Domestic Claims, Claims on Other Financial Corporations (Depository) over time
- Croatia
- Moldova
How they compare
Moldova currently reports 1.83 billion against 1.59 billion in Croatia, a difference of 241.12 million.
That makes Moldova's figure about 1.2 times Croatia's.
The two have swapped places 1 time across 16 shared years of data; in 1993 it was Croatia ahead.
Croatia ranks 51st and Moldova ranks 50th of 104 countries.
Croatia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Croatia | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 139.93 million | 8.62 million | 131.31 million | Croatia |
| 2000s | 1.62 billion | 482.70 million | 1.13 billion | Croatia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher domestic claims, claims on other financial corporations, Croatia or Moldova?
- Moldova, at 1.83 billion against 1.59 billion in Croatia as of 2008.
- What is the difference in domestic claims, claims on other financial corporations between Croatia and Moldova?
- 241.12 million, with Moldova ahead.
- How many years of comparable data are there for Croatia and Moldova?
- 16 years are reported by both, from 1993 to 2008.
- How do Croatia and Moldova rank globally for domestic claims, claims on other financial corporations?
- Croatia ranks 51st and Moldova ranks 50th of 104 countries.
- Where does this data come from?
- International Monetary Fund, published as Domestic Claims, Claims on Other Financial Corporations (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.