Australia vs Sierra Leone: Trading across borders: Cost to export (US$ per container) (DB06-15 me
Australia
82.79
in 2014
Sierra Leone
83.12
in 2014
Australia rank
89th
Sierra Leone rank
86th
Trading across borders: Cost to export (US$ per container) (DB06-15 me over time
- Australia
- Sierra Leone
How they compare
Sierra Leone currently reports 83.12 against 82.79 in Australia, a difference of 0.33.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Australia ahead.
Australia ranks 89th and Sierra Leone ranks 86th of 181 countries.
Australia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Australia | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 82.09 | 53.46 | 28.63 | Australia |
| 2010s | 84.27 | 73.53 | 10.74 | Australia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: cost to export (us$ per container) (db06-15 me, Australia or Sierra Leone?
- Sierra Leone, at 83.12 against 82.79 in Australia as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15 me between Australia and Sierra Leone?
- 0.33, with Sierra Leone ahead.
- How many years of comparable data are there for Australia and Sierra Leone?
- 10 years are reported by both, from 2005 to 2014.
- How do Australia and Sierra Leone rank globally for trading across borders: cost to export (us$ per container) (db06-15 me?
- Australia ranks 89th and Sierra Leone ranks 86th of 181 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to export (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 export 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.