Botswana vs Mongolia: Securities Other Than Shares, Liabilities of Central Bank: Securities
Botswana
0
in 2008
Mongolia
62.64 million
in 2008
Botswana rank
17th
Mongolia rank
14th
Securities Other Than Shares, Liabilities of Central Bank: Securities over time
- Botswana
- Mongolia
How they compare
Mongolia currently reports 62.64 million against 0 in Botswana, a difference of 62.64 million.
The two have swapped places 2 times across 18 shared years of data; in 1991 it was Mongolia ahead.
Botswana ranks 17th and Mongolia ranks 14th of 91 countries.
Botswana has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Botswana | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 633.62 million | 28.80 million | 604.82 million | Botswana |
| 2000s | 3.34 billion | 198.07 million | 3.14 billion | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher securities other than shares, liabilities of central bank: securities, Botswana or Mongolia?
- Mongolia, at 62.64 million against 0 in Botswana as of 2008.
- What is the difference in securities other than shares, liabilities of central bank: securities between Botswana and Mongolia?
- 62.64 million, with Mongolia ahead.
- How many years of comparable data are there for Botswana and Mongolia?
- 18 years are reported by both, from 1991 to 2008.
- How do Botswana and Mongolia rank globally for securities other than shares, liabilities of central bank: securities?
- Botswana ranks 17th and Mongolia ranks 14th of 91 countries.
- Where does this data come from?
- International Monetary Fund, published as Securities Other Than Shares, Liabilities of Central Bank: Securities (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.