Bangladesh vs Finland: 09_Insured export credit exposures, Berne Union
09_Insured export credit exposures, Berne Union over time
- Bangladesh
- Finland
How they compare
Finland currently reports 18.07 billion against 16.14 billion in Bangladesh, a difference of 1.93 billion.
That makes Finland's figure about 1.1 times Bangladesh's.
The two have swapped places 2 times across 21 shared years of data; in 2005 it was Finland ahead.
Bangladesh ranks 47th and Finland ranks 44th of 211 countries.
Across the 3 decades both report, Bangladesh averaged higher in 1 and Finland in 2.
Head to head by decade
| Decade | Bangladesh | Finland | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.57 billion | 7.93 billion | 6.36 billion | Finland |
| 2010s | 5.70 billion | 9.33 billion | 3.63 billion | Finland |
| 2020s | 17.78 billion | 15.87 billion | 1.91 billion | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher 09_insured export credit exposures, berne union, Bangladesh or Finland?
- Finland, at 18.07 billion against 16.14 billion in Bangladesh as of 2025.
- What is the difference in 09_insured export credit exposures, berne union between Bangladesh and Finland?
- 1.93 billion, with Finland ahead.
- How many years of comparable data are there for Bangladesh and Finland?
- 21 years are reported by both, from 2005 to 2025.
- How do Bangladesh and Finland rank globally for 09_insured export credit exposures, berne union?
- Bangladesh ranks 47th and Finland ranks 44th of 211 countries.
- Where does this data come from?
- BIS, published as 09_Insured export credit exposures, Berne Union. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Data refer to Berne Union members’ direct insurance or lending, i.e. amount reinsured by others are not deducted and amounts reinsured by members for others are not added. Countries are defined based on ISO 3166-1. Amounts guaranteed by an international financial institution are allocated to that institution, not the country of residence of the borrower or guarantor. Data are stock data, i.e. total outstanding amounts at the end of each quarter (31 March, 30 June, 30 September, and 31 December). Total data include medium/long-term (MLT) exposures and short-term (ST) exposures.