Paraguay vs Ukraine: Trading across borders: Time to export (days) (DB06-15 methodology)

Paraguay
52.08
in 2014
Ukraine
52.08
in 2014
Paraguay rank
149th
Ukraine rank
149th

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

  • Paraguay
  • Ukraine
0204060200520092014

How they compare

Paraguay currently reports 52.08 against 52.08 in Ukraine, a difference of 0.

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

Paraguay ranks 149th and Ukraine ranks 149th of 181 countries.

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

Head to head by decade

Decade Paraguay Ukraine Difference Ahead
2000s 38.33 50 11.67 Ukraine
2010s 45.83 50.83 5 Ukraine

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), Paraguay or Ukraine?
Paraguay, at 52.08 against 52.08 in Ukraine as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Paraguay and Ukraine?
0, with Paraguay ahead.
How many years of comparable data are there for Paraguay and Ukraine?
10 years are reported by both, from 2005 to 2014.
How do Paraguay and Ukraine rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Paraguay ranks 149th and Ukraine ranks 149th 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.