Madagascar vs Solomon Islands: Trading across borders: Time to export (days) (DB06-15 methodology)
Madagascar
66.67
in 2014
Solomon Islands
66.67
in 2014
Madagascar rank
117th
Solomon Islands rank
117th
Trading across borders: Time to export (days) (DB06-15 methodology) over time
- Madagascar
- Solomon Islands
How they compare
Madagascar currently reports 66.67 against 66.67 in Solomon Islands, a difference of 0.
Across all 10 years both countries report, Solomon Islands has been ahead every year.
Madagascar ranks 117th and Solomon Islands ranks 117th of 181 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Madagascar | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 40.42 | 65 | 24.58 | Solomon Islands |
| 2010s | 66.67 | 66.67 | 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), Madagascar or Solomon Islands?
- Madagascar, at 66.67 against 66.67 in Solomon Islands as of 2014.
- What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Madagascar and Solomon Islands?
- 0, with Madagascar ahead.
- How many years of comparable data are there for Madagascar and Solomon Islands?
- 10 years are reported by both, from 2005 to 2014.
- How do Madagascar and Solomon Islands rank globally for trading across borders: time to export (days) (db06-15 methodology)?
- Madagascar ranks 117th and Solomon Islands ranks 117th of 181 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.