Azerbaijan vs Tonga: Trading across borders: Time to import (days) (DB06-15 methodology)

Azerbaijan
66.13
in 2014
Tonga
66.13
in 2014
Azerbaijan rank
115th
Tonga rank
115th

Trading across borders: Time to import (days) (DB06-15 methodology) over time

  • Azerbaijan
  • Tonga
0204060200520092014

How they compare

Azerbaijan currently reports 66.13 against 66.13 in Tonga, a difference of 0.

Across all 10 years both countries report, Tonga has been ahead every year.

Azerbaijan ranks 115th and Tonga ranks 115th of 181 countries.

Tonga has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Azerbaijan Tonga Difference Ahead
2000s 50.32 64.19 13.87 Tonga
2010s 65.16 66.13 0.9677 Tonga

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), Azerbaijan or Tonga?
Azerbaijan, at 66.13 against 66.13 in Tonga as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Azerbaijan and Tonga?
0, with Azerbaijan ahead.
How many years of comparable data are there for Azerbaijan and Tonga?
10 years are reported by both, from 2005 to 2014.
How do Azerbaijan and Tonga rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Azerbaijan ranks 115th and Tonga ranks 115th 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

Indicator
Trading across borders: Time to import (days) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

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.