Hong Kong (China) vs India: 09_Insured export credit exposures, Berne Union
09_Insured export credit exposures, Berne Union over time
- Hong Kong (China)
- India
How they compare
India currently reports 63.50 billion against 54.90 billion in Hong Kong (China), a difference of 8.60 billion.
That makes India's figure about 1.2 times Hong Kong (China)'s.
Across all 21 years both countries report, India has been ahead every year.
Hong Kong (China) ranks 14th and India ranks 12th of 211 countries.
India has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Hong Kong (China) | India | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 10.71 billion | 19.85 billion | 9.14 billion | India |
| 2010s | 22.96 billion | 46.56 billion | 23.59 billion | India |
| 2020s | 48.89 billion | 57.01 billion | 8.11 billion | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher 09_insured export credit exposures, berne union, Hong Kong (China) or India?
- India, at 63.50 billion against 54.90 billion in Hong Kong (China) as of 2025.
- What is the difference in 09_insured export credit exposures, berne union between Hong Kong (China) and India?
- 8.60 billion, with India ahead.
- How many years of comparable data are there for Hong Kong (China) and India?
- 21 years are reported by both, from 2005 to 2025.
- How do Hong Kong (China) and India rank globally for 09_insured export credit exposures, berne union?
- Hong Kong (China) ranks 14th and India ranks 12th 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.
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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.