Bangladesh vs Puerto Rico: Trading across borders: Cost to export (US$ per container) (DB06-15)
Bangladesh
81.02
in 2014
Puerto Rico
80.61
in 2014
Bangladesh rank
99th
Puerto Rico rank
102nd
Trading across borders: Cost to export (US$ per container) (DB06-15) over time
- Bangladesh
- Puerto Rico
How they compare
Bangladesh currently reports 81.02 against 80.61 in Puerto Rico, a difference of 0.41.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Bangladesh ahead.
Bangladesh ranks 99th and Puerto Rico ranks 102nd of 184 countries.
Puerto Rico has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bangladesh | Puerto Rico | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 74.4 | 75.27 | 0.8616 | Puerto Rico |
| 2010s | 79.62 | 80.1 | 0.4801 | Puerto Rico |
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), Bangladesh or Puerto Rico?
- Bangladesh, at 81.02 against 80.61 in Puerto Rico as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15) between Bangladesh and Puerto Rico?
- 0.41, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Puerto Rico?
- 10 years are reported by both, from 2005 to 2014.
- How do Bangladesh and Puerto Rico rank globally for trading across borders: cost to export (us$ per container) (db06-15)?
- Bangladesh ranks 99th and Puerto Rico ranks 102nd of 184 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.