Saudi Arabia vs Seychelles: Trading across borders: Time to import (days) (DB06-15 methodology)
Saudi Arabia
79.03
in 2014
Seychelles
79.03
in 2014
Saudi Arabia rank
75th
Seychelles rank
75th
Trading across borders: Time to import (days) (DB06-15 methodology) over time
- Saudi Arabia
- Seychelles
How they compare
Saudi Arabia currently reports 79.03 against 79.03 in Seychelles, a difference of 0.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Seychelles ahead.
Saudi Arabia ranks 75th and Seychelles ranks 75th of 181 countries.
Across the 2 decades both report, Saudi Arabia averaged higher in 1 and Seychelles in 1.
Head to head by decade
| Decade | Saudi Arabia | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 66.45 | 75.81 | 9.35 | Seychelles |
| 2010s | 79.03 | 78.71 | 0.3226 | Saudi Arabia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: time to import (days) (db06-15 methodology), Saudi Arabia or Seychelles?
- Saudi Arabia, at 79.03 against 79.03 in Seychelles as of 2014.
- What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Saudi Arabia and Seychelles?
- 0, with Saudi Arabia ahead.
- How many years of comparable data are there for Saudi Arabia and Seychelles?
- 10 years are reported by both, from 2005 to 2014.
- How do Saudi Arabia and Seychelles rank globally for trading across borders: time to import (days) (db06-15 methodology)?
- Saudi Arabia ranks 75th and Seychelles ranks 75th of 181 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to import (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 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.