Marshall Islands vs Palau: Trading across borders: Cost to export (US$ per container) (DB06-15 me
Marshall Islands
93.79
in 2014
Palau
93.25
in 2014
Marshall Islands rank
23rd
Palau rank
26th
Trading across borders: Cost to export (US$ per container) (DB06-15 me over time
- Marshall Islands
- Palau
How they compare
Marshall Islands currently reports 93.79 against 93.25 in Palau, a difference of 0.54.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Marshall Islands ahead.
Marshall Islands ranks 23rd and Palau ranks 26th of 181 countries.
Marshall Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Marshall Islands | Palau | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 88.61 | 84.67 | 3.94 | Marshall Islands |
| 2010s | 93.81 | 92.41 | 1.4 | Marshall Islands |
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, Marshall Islands or Palau?
- Marshall Islands, at 93.79 against 93.25 in Palau as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15 me between Marshall Islands and Palau?
- 0.54, with Marshall Islands ahead.
- How many years of comparable data are there for Marshall Islands and Palau?
- 10 years are reported by both, from 2005 to 2014.
- How do Marshall Islands and Palau rank globally for trading across borders: cost to export (us$ per container) (db06-15 me?
- Marshall Islands ranks 23rd and Palau ranks 26th 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.