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

Mozambique
66.13
in 2014
Tonga
66.13
in 2014
Mozambique rank
115th
Tonga rank
115th

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

  • Mozambique
  • Tonga
0204060200520092014

How they compare

Mozambique 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.

Mozambique 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 Mozambique Tonga Difference Ahead
2000s 52.9 64.19 11.29 Tonga
2010s 63.23 66.13 2.9 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), Mozambique or Tonga?
Mozambique, 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 Mozambique and Tonga?
0, with Mozambique ahead.
How many years of comparable data are there for Mozambique and Tonga?
10 years are reported by both, from 2005 to 2014.
How do Mozambique and Tonga rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Mozambique 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.