Solomon Islands vs Tanzania: Trading across borders: Documents to export (number) (DB06-15 methodol
Solomon Islands
44.44
in 2014
Tanzania
44.44
in 2014
Solomon Islands rank
106th
Tanzania rank
106th
Trading across borders: Documents to export (number) (DB06-15 methodol over time
- Solomon Islands
- Tanzania
How they compare
Solomon Islands currently reports 44.44 against 44.44 in Tanzania, a difference of 0.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Solomon Islands ahead.
Solomon Islands ranks 106th and Tanzania ranks 106th of 181 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Solomon Islands | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 44.44 | 40 | 4.44 | Solomon Islands |
| 2010s | 44.44 | 44.44 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: documents to export (number) (db06-15 methodol, Solomon Islands or Tanzania?
- Solomon Islands, at 44.44 against 44.44 in Tanzania as of 2014.
- What is the difference in trading across borders: documents to export (number) (db06-15 methodol between Solomon Islands and Tanzania?
- 0, with Solomon Islands ahead.
- How many years of comparable data are there for Solomon Islands and Tanzania?
- 10 years are reported by both, from 2005 to 2014.
- How do Solomon Islands and Tanzania rank globally for trading across borders: documents to export (number) (db06-15 methodol?
- Solomon Islands ranks 106th and Tanzania ranks 106th of 181 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Documents to export (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 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.