Papua New Guinea vs Rwanda: Financial Institutions Depth Index
Financial Institutions Depth Index over time
- Papua New Guinea
- Rwanda
How they compare
Papua New Guinea currently reports 0.1386 against 0.1334 in Rwanda, a difference of 0.0052.
Across all 41 years both countries report, Papua New Guinea has been ahead every year.
Papua New Guinea ranks 108th and Rwanda ranks 110th of 183 countries.
Papua New Guinea has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Papua New Guinea | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.1705 | 0.0425 | 0.1279 | Papua New Guinea |
| 1990s | 0.1399 | 0.0449 | 0.095 | Papua New Guinea |
| 2000s | 0.1216 | 0.0666 | 0.0551 | Papua New Guinea |
| 2010s | 0.1358 | 0.1047 | 0.0311 | Papua New Guinea |
| 2020s | 0.1386 | 0.1334 | 0.0052 | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher financial institutions depth index, Papua New Guinea or Rwanda?
- Papua New Guinea, at 0.1386 against 0.1334 in Rwanda as of 2020.
- What is the difference in financial institutions depth index between Papua New Guinea and Rwanda?
- 0.0052, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Rwanda?
- 41 years are reported by both, from 1980 to 2020.
- How do Papua New Guinea and Rwanda rank globally for financial institutions depth index?
- Papua New Guinea ranks 108th and Rwanda ranks 110th of 183 countries.
- Where does this data come from?
- International Monetary Fund, published as Financial Institutions Depth Index. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The dataset contains nine indices that summarize how developed financial institutions and financial markets are in terms of their depth, access, and efficiency. These indices are aggregated into an overall index of financial development. With the coverage of over 180 countries on annual frequency from 1980 onwards, the database should offer a useful analytical tool for researchers and policy makers.