Marshall Islands vs Papua New Guinea: Trading across borders: Time to export (days) (DB06-15 methodology)
Marshall Islands
64.58
in 2014
Papua New Guinea
64.58
in 2014
Marshall Islands rank
127th
Papua New Guinea rank
127th
Trading across borders: Time to export (days) (DB06-15 methodology) over time
- Marshall Islands
- Papua New Guinea
How they compare
Marshall Islands currently reports 64.58 against 64.58 in Papua New Guinea, a difference of 0.
Across all 10 years both countries report, Papua New Guinea has been ahead every year.
Marshall Islands ranks 127th and Papua New Guinea ranks 127th of 183 countries.
Head to head by decade
| Decade | Marshall Islands | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 64.58 | 64.58 | 0 | — |
| 2010s | 64.58 | 64.58 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: time to export (days) (db06-15 methodology), Marshall Islands or Papua New Guinea?
- Marshall Islands, at 64.58 against 64.58 in Papua New Guinea as of 2014.
- What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Marshall Islands and Papua New Guinea?
- 0, with Marshall Islands ahead.
- How many years of comparable data are there for Marshall Islands and Papua New Guinea?
- 10 years are reported by both, from 2005 to 2014.
- How do Marshall Islands and Papua New Guinea rank globally for trading across borders: time to export (days) (db06-15 methodology)?
- Marshall Islands ranks 127th and Papua New Guinea ranks 127th of 183 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to export (days) (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 time 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.