Guinea vs Hungary: Trading across borders: Cost to export (US$ per container) (DB06-15 me

Guinea
89
in 2014
Hungary
89.65
in 2014
Guinea rank
55th
Hungary rank
52nd

Trading across borders: Cost to export (US$ per container) (DB06-15 me over time

  • Guinea
  • Hungary
020406080200520092014

How they compare

Hungary currently reports 89.65 against 89 in Guinea, a difference of 0.65.

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

Guinea ranks 55th and Hungary ranks 52nd of 181 countries.

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

Head to head by decade

Decade Guinea Hungary Difference Ahead
2000s 62 81.51 19.5 Hungary
2010s 83.18 87.3 4.12 Hungary

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: cost to export (us$ per container) (db06-15 me, Guinea or Hungary?
Hungary, at 89.65 against 89 in Guinea as of 2014.
What is the difference in trading across borders: cost to export (us$ per container) (db06-15 me between Guinea and Hungary?
0.65, with Hungary ahead.
How many years of comparable data are there for Guinea and Hungary?
10 years are reported by both, from 2005 to 2014.
How do Guinea and Hungary rank globally for trading across borders: cost to export (us$ per container) (db06-15 me?
Guinea ranks 55th and Hungary ranks 52nd of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to export (US$ per container) (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: Cost to export (US$ per container) (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 cost 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.