Lithuania vs Nigeria: 09_Insured export credit exposures, Berne Union
09_Insured export credit exposures, Berne Union over time
- Lithuania
- Nigeria
How they compare
Nigeria currently reports 8.53 billion against 7.96 billion in Lithuania, a difference of 563.00 million.
That makes Nigeria's figure about 1.1 times Lithuania's.
The two have swapped places 6 times across 21 shared years of data; in 2005 it was Nigeria ahead.
Lithuania ranks 67th and Nigeria ranks 65th of 210 countries.
Across the 3 decades both report, Lithuania averaged higher in 1 and Nigeria in 2.
Head to head by decade
| Decade | Lithuania | Nigeria | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2.08 billion | 11.20 billion | 9.12 billion | Nigeria |
| 2010s | 2.66 billion | 3.28 billion | 621.30 million | Nigeria |
| 2020s | 6.58 billion | 6.05 billion | 531.50 million | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher 09_insured export credit exposures, berne union, Lithuania or Nigeria?
- Nigeria, at 8.53 billion against 7.96 billion in Lithuania as of 2025.
- What is the difference in 09_insured export credit exposures, berne union between Lithuania and Nigeria?
- 563.00 million, with Nigeria ahead.
- How many years of comparable data are there for Lithuania and Nigeria?
- 21 years are reported by both, from 2005 to 2025.
- How do Lithuania and Nigeria rank globally for 09_insured export credit exposures, berne union?
- Lithuania ranks 67th and Nigeria ranks 65th of 210 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.