Montenegro vs Saint Lucia: Trading across borders: Cost to export (US$ per container) (DB06-15)
Montenegro
87.47
in 2014
Saint Lucia
88.56
in 2014
Montenegro rank
60th
Saint Lucia rank
59th
Trading across borders: Cost to export (US$ per container) (DB06-15) over time
- Montenegro
- Saint Lucia
How they compare
Saint Lucia currently reports 88.56 against 87.47 in Montenegro, a difference of 1.09.
The two have swapped places 5 times across 9 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 60th and Saint Lucia ranks 59th of 183 countries.
Saint Lucia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Montenegro | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 85.5 | 87.18 | 1.68 | Saint Lucia |
| 2010s | 87.45 | 87.56 | 0.1141 | Saint Lucia |
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), Montenegro or Saint Lucia?
- Saint Lucia, at 88.56 against 87.47 in Montenegro as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15) between Montenegro and Saint Lucia?
- 1.09, with Saint Lucia ahead.
- How many years of comparable data are there for Montenegro and Saint Lucia?
- 9 years are reported by both, from 2006 to 2014.
- How do Montenegro and Saint Lucia rank globally for trading across borders: cost to export (us$ per container) (db06-15)?
- Montenegro ranks 60th and Saint Lucia ranks 59th of 183 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.