Belize vs Hungary: Trading across borders: Time to import (days) (DB06-15 methodology)

Belize
75.81
in 2014
Hungary
75.81
in 2014
Belize rank
86th
Hungary rank
86th

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

  • Belize
  • Hungary
020406080200520092014

How they compare

Belize currently reports 75.81 against 75.81 in Hungary, a difference of 0.

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

Belize ranks 86th and Hungary ranks 86th of 181 countries.

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

Head to head by decade

Decade Belize Hungary Difference Ahead
2000s 72.58 77.42 4.84 Hungary
2010s 74.19 76.45 2.26 Hungary

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), Belize or Hungary?
Belize, at 75.81 against 75.81 in Hungary as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Belize and Hungary?
0, with Belize ahead.
How many years of comparable data are there for Belize and Hungary?
10 years are reported by both, from 2005 to 2014.
How do Belize and Hungary rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Belize ranks 86th and Hungary ranks 86th 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.