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

China
91
in 2014
Jordan
90.96
in 2014
China rank
43rd
Jordan rank
44th

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

  • China
  • Jordan
020406080100200520092014

How they compare

China currently reports 91 against 90.96 in Jordan, a difference of 0.04.

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

China ranks 43rd and Jordan ranks 44th of 181 countries.

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

Head to head by decade

Decade China Jordan Difference Ahead
2000s 96.51 83.65 12.85 China
2010s 94.04 88.78 5.26 China

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, China or Jordan?
China, at 91 against 90.96 in Jordan as of 2014.
What is the difference in trading across borders: cost to export (us$ per container) (db06-15 me between China and Jordan?
0.04, with China ahead.
How many years of comparable data are there for China and Jordan?
10 years are reported by both, from 2005 to 2014.
How do China and Jordan rank globally for trading across borders: cost to export (us$ per container) (db06-15 me?
China ranks 43rd and Jordan ranks 44th 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.