Madagascar vs Romania: Outstanding Loans, Non-Deposit Taking Microfinance Institutions, of
Madagascar
4.70 billion
in 2024
Romania
16.75 billion
in 2025
Madagascar rank
16th
Romania rank
13th
Outstanding Loans, Non-Deposit Taking Microfinance Institutions, of over time
- Madagascar
- Romania
How they compare
Romania currently reports 16.75 billion against 4.70 billion in Madagascar, a difference of 12.04 billion.
That makes Romania's figure about 3.6 times Madagascar's.
The two have swapped places 2 times across 17 shared years of data; in 2008 it was Romania ahead.
Madagascar ranks 16th and Romania ranks 13th of 29 countries.
Romania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Madagascar | Romania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.20 billion | 7.31 billion | 6.11 billion | Romania |
| 2010s | 3.86 billion | 6.31 billion | 2.45 billion | Romania |
| 2020s | 3.05 billion | 10.57 billion | 7.52 billion | Romania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher outstanding loans, non-deposit taking microfinance institutions, of, Madagascar or Romania?
- Romania, at 16.75 billion against 4.70 billion in Madagascar as of 2025.
- What is the difference in outstanding loans, non-deposit taking microfinance institutions, of between Madagascar and Romania?
- 12.04 billion, with Romania ahead.
- How many years of comparable data are there for Madagascar and Romania?
- 17 years are reported by both, from 2008 to 2024.
- How do Madagascar and Romania rank globally for outstanding loans, non-deposit taking microfinance institutions, of?
- Madagascar ranks 16th and Romania ranks 13th of 29 countries.
- Where does this data come from?
- International Monetary Fund, published as Outstanding Loans, Non-Deposit Taking Microfinance Institutions, of Which: Household Sector Loans. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Gender-disaggregated data on access to and use of financial services.