Palau, Republic of vs Papua New Guinea: Trading across borders: Documents to import (number) (DB06-15)
Palau, Republic of
46.15
in 2014
Papua New Guinea
46.15
in 2014
Palau, Republic of rank
129th
Papua New Guinea rank
129th
Trading across borders: Documents to import (number) (DB06-15) over time
- Palau, Republic of
- Papua New Guinea
How they compare
Palau, Republic of currently reports 46.15 against 46.15 in Papua New Guinea, a difference of 0.
Across all 10 years both countries report, Papua New Guinea has been ahead every year.
Palau, Republic of ranks 129th and Papua New Guinea ranks 129th of 183 countries.
Head to head by decade
| Decade | Palau, Republic of | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 46.15 | 46.15 | 0 | — |
| 2010s | 46.15 | 46.15 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: documents to import (number) (db06-15), Palau, Republic of or Papua New Guinea?
- Palau, Republic of, at 46.15 against 46.15 in Papua New Guinea as of 2014.
- What is the difference in trading across borders: documents to import (number) (db06-15) between Palau, Republic of and Papua New Guinea?
- 0, with Palau, Republic of ahead.
- How many years of comparable data are there for Palau, Republic of and Papua New Guinea?
- 10 years are reported by both, from 2005 to 2014.
- How do Palau, Republic of and Papua New Guinea rank globally for trading across borders: documents to import (number) (db06-15)?
- Palau, Republic of ranks 129th and Papua New Guinea ranks 129th of 183 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Documents to import (number) (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 number of documents to import 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.