Hong Kong, China vs Tonga: Trading across borders: Cost to import (US$ per container)(DB06-15)
Hong Kong, China
96.51
in 2014
Tonga
97.66
in 2014
Hong Kong, China rank
5th
Tonga rank
3rd
Trading across borders: Cost to import (US$ per container)(DB06-15) over time
- Hong Kong, China
- Tonga
How they compare
Tonga currently reports 97.66 against 96.51 in Hong Kong, China, a difference of 1.15.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Hong Kong, China ahead.
Hong Kong, China ranks 5th and Tonga ranks 3rd of 184 countries.
Across the 2 decades both report, Hong Kong, China averaged higher in 1 and Tonga in 1.
Head to head by decade
| Decade | Hong Kong, China | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 96.23 | 92.66 | 3.57 | Hong Kong, China |
| 2010s | 96.18 | 97.29 | 1.11 | Tonga |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: cost to import (us$ per container)(db06-15), Hong Kong, China or Tonga?
- Tonga, at 97.66 against 96.51 in Hong Kong, China as of 2014.
- What is the difference in trading across borders: cost to import (us$ per container)(db06-15) between Hong Kong, China and Tonga?
- 1.15, with Tonga ahead.
- How many years of comparable data are there for Hong Kong, China and Tonga?
- 10 years are reported by both, from 2005 to 2014.
- How do Hong Kong, China and Tonga rank globally for trading across borders: cost to import (us$ per container)(db06-15)?
- Hong Kong, China ranks 5th and Tonga ranks 3rd of 184 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import (US$ per container)(DB06-15 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for the cost to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.