Georgia vs Papua New Guinea: 09_Insured export credit exposures, Berne Union
09_Insured export credit exposures, Berne Union over time
- Georgia
- Papua New Guinea
How they compare
Papua New Guinea currently reports 1.72 billion against 1.53 billion in Georgia, a difference of 192.00 million.
That makes Papua New Guinea's figure about 1.1 times Georgia's.
The two have swapped places 3 times across 21 shared years of data; in 2005 it was Georgia ahead.
Georgia ranks 111th and Papua New Guinea ranks 108th of 211 countries.
Across the 3 decades both report, Georgia averaged higher in 1 and Papua New Guinea in 2.
Head to head by decade
| Decade | Georgia | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 199.60 million | 141.60 million | 58.00 million | Georgia |
| 2010s | 410.70 million | 4.99 billion | 4.58 billion | Papua New Guinea |
| 2020s | 915.00 million | 2.72 billion | 1.81 billion | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher 09_insured export credit exposures, berne union, Georgia or Papua New Guinea?
- Papua New Guinea, at 1.72 billion against 1.53 billion in Georgia as of 2025.
- What is the difference in 09_insured export credit exposures, berne union between Georgia and Papua New Guinea?
- 192.00 million, with Papua New Guinea ahead.
- How many years of comparable data are there for Georgia and Papua New Guinea?
- 21 years are reported by both, from 2005 to 2025.
- How do Georgia and Papua New Guinea rank globally for 09_insured export credit exposures, berne union?
- Georgia ranks 111th and Papua New Guinea ranks 108th 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.