Croatia vs Papua New Guinea: Trading across borders: Cost to export (US$ per container) (DB06-15)
Croatia
79.85
in 2014
Papua New Guinea
79.85
in 2014
Croatia rank
107th
Papua New Guinea rank
107th
Trading across borders: Cost to export (US$ per container) (DB06-15) over time
- Croatia
- Papua New Guinea
How they compare
Croatia currently reports 79.85 against 79.85 in Papua New Guinea, a difference of 0.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Croatia ahead.
Croatia ranks 107th and Papua New Guinea ranks 107th of 183 countries.
Papua New Guinea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Croatia | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 77.05 | 80.2 | 3.15 | Papua New Guinea |
| 2010s | 79.6 | 82.57 | 2.97 | Papua New Guinea |
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), Croatia or Papua New Guinea?
- Croatia, at 79.85 against 79.85 in Papua New Guinea as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15) between Croatia and Papua New Guinea?
- 0, with Croatia ahead.
- How many years of comparable data are there for Croatia and Papua New Guinea?
- 10 years are reported by both, from 2005 to 2014.
- How do Croatia and Papua New Guinea rank globally for trading across borders: cost to export (us$ per container) (db06-15)?
- Croatia ranks 107th and Papua New Guinea ranks 107th 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.