Kosovo (UNSCR 1244) vs Serbia: Trading across borders: Time to import (days) (DB06-15 methodology)
Kosovo (UNSCR 1244)
82.26
in 2014
Serbia
82.26
in 2014
Kosovo (UNSCR 1244) rank
64th
Serbia rank
64th
Trading across borders: Time to import (days) (DB06-15 methodology) over time
- Kosovo (UNSCR 1244)
- Serbia
How they compare
Kosovo (UNSCR 1244) currently reports 82.26 against 82.26 in Serbia, a difference of 0.
The two have swapped places 2 times across 6 shared years of data; in 2009 it was Serbia ahead.
Kosovo (UNSCR 1244) ranks 64th and Serbia ranks 64th of 184 countries.
Kosovo (UNSCR 1244) has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kosovo (UNSCR 1244) | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 80.65 | 80.65 | 0 | — |
| 2010s | 81.61 | 81.29 | 0.3226 | Kosovo (UNSCR 1244) |
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), Kosovo (UNSCR 1244) or Serbia?
- Kosovo (UNSCR 1244), at 82.26 against 82.26 in Serbia as of 2014.
- What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Kosovo (UNSCR 1244) and Serbia?
- 0, with Kosovo (UNSCR 1244) ahead.
- How many years of comparable data are there for Kosovo (UNSCR 1244) and Serbia?
- 6 years are reported by both, from 2009 to 2014.
- How do Kosovo (UNSCR 1244) and Serbia rank globally for trading across borders: time to import (days) (db06-15 methodology)?
- Kosovo (UNSCR 1244) ranks 64th and Serbia ranks 64th of 184 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.