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

Belize
77.08
in 2014
Hungary
77.08
in 2014
Belize rank
84th
Hungary rank
84th

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

  • Belize
  • Hungary
020406080200520092014

How they compare

Belize currently reports 77.08 against 77.08 in Hungary, a difference of 0.

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

Belize ranks 84th and Hungary ranks 84th 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 70.83 79.17 8.33 Hungary
2010s 74.17 77.92 3.75 Hungary

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: time to export (days) (db06-15 methodology), Belize or Hungary?
Belize, at 77.08 against 77.08 in Hungary as of 2014.
What is the difference in trading across borders: time to export (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 export (days) (db06-15 methodology)?
Belize ranks 84th and Hungary ranks 84th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export (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 export (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 export 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.