Solomon Islands vs Tanzania: Financial Development Index
Financial Development Index over time
- Solomon Islands
- Tanzania
How they compare
Solomon Islands currently reports 0.0929 against 0.0911 in Tanzania, a difference of 0.0018.
The two have swapped places 8 times across 41 shared years of data; in 1980 it was Solomon Islands ahead.
Solomon Islands ranks 169th and Tanzania ranks 172nd of 183 countries.
Across the 5 decades both report, Solomon Islands averaged higher in 3 and Tanzania in 2.
Head to head by decade
| Decade | Solomon Islands | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.1518 | 0.1411 | 0.0106 | Solomon Islands |
| 1990s | 0.1249 | 0.1103 | 0.0146 | Solomon Islands |
| 2000s | 0.0917 | 0.0924 | 0.0008 | Tanzania |
| 2010s | 0.0889 | 0.0963 | 0.0073 | Tanzania |
| 2020s | 0.0929 | 0.0911 | 0.0018 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher financial development index, Solomon Islands or Tanzania?
- Solomon Islands, at 0.0929 against 0.0911 in Tanzania as of 2020.
- What is the difference in financial development index between Solomon Islands and Tanzania?
- 0.0018, with Solomon Islands ahead.
- How many years of comparable data are there for Solomon Islands and Tanzania?
- 41 years are reported by both, from 1980 to 2020.
- How do Solomon Islands and Tanzania rank globally for financial development index?
- Solomon Islands ranks 169th and Tanzania ranks 172nd of 183 countries.
- Where does this data come from?
- International Monetary Fund, published as Financial Development 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.