Marshall Islands vs Solomon Islands: Trading across borders: Documents to import (number) (DB06-15 methodol
Marshall Islands
76.92
in 2014
Solomon Islands
76.92
in 2014
Marshall Islands rank
27th
Solomon Islands rank
27th
Trading across borders: Documents to import (number) (DB06-15 methodol over time
- Marshall Islands
- Solomon Islands
How they compare
Marshall Islands currently reports 76.92 against 76.92 in Solomon Islands, a difference of 0.
Across all 10 years both countries report, Solomon Islands has been ahead every year.
Marshall Islands ranks 27th and Solomon Islands ranks 27th of 183 countries.
Head to head by decade
| Decade | Marshall Islands | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 76.92 | 76.92 | 0 | — |
| 2010s | 76.92 | 76.92 | 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 methodol, Marshall Islands or Solomon Islands?
- Marshall Islands, at 76.92 against 76.92 in Solomon Islands as of 2014.
- What is the difference in trading across borders: documents to import (number) (db06-15 methodol between Marshall Islands and Solomon Islands?
- 0, with Marshall Islands ahead.
- How many years of comparable data are there for Marshall Islands and Solomon Islands?
- 10 years are reported by both, from 2005 to 2014.
- How do Marshall Islands and Solomon Islands rank globally for trading across borders: documents to import (number) (db06-15 methodol?
- Marshall Islands ranks 27th and Solomon Islands ranks 27th 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.