Brazil vs Macau, China: Financial Institutions Depth Index
Financial Institutions Depth Index over time
- Brazil
- Macau, China
How they compare
Macau, China currently reports 0.5946 against 0.5143 in Brazil, a difference of 0.0803.
That makes Macau, China's figure about 1.2 times Brazil's.
The two have swapped places 3 times across 41 shared years of data; in 1980 it was Brazil ahead.
Brazil ranks 36th and Macau, China ranks 33rd of 183 countries.
Across the 5 decades both report, Brazil averaged higher in 4 and Macau, China in 1.
Head to head by decade
| Decade | Brazil | Macau, China | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.2018 | 0.0945 | 0.1072 | Brazil |
| 1990s | 0.3749 | 0.2031 | 0.1717 | Brazil |
| 2000s | 0.3956 | 0.1875 | 0.2081 | Brazil |
| 2010s | 0.5051 | 0.3162 | 0.1889 | Brazil |
| 2020s | 0.5143 | 0.5946 | 0.0803 | Macau, China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher financial institutions depth index, Brazil or Macau, China?
- Macau, China, at 0.5946 against 0.5143 in Brazil as of 2020.
- What is the difference in financial institutions depth index between Brazil and Macau, China?
- 0.0803, with Macau, China ahead.
- How many years of comparable data are there for Brazil and Macau, China?
- 41 years are reported by both, from 1980 to 2020.
- How do Brazil and Macau, China rank globally for financial institutions depth index?
- Brazil ranks 36th and Macau, China ranks 33rd 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.