Croatia vs Slovenia: Trading across borders: Time to export (days) (DB06-15 methodology)

Croatia
79.17
in 2014
Slovenia
79.17
in 2014
Croatia rank
74th
Slovenia rank
74th

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

  • Croatia
  • Slovenia
020406080200520092014

How they compare

Croatia currently reports 79.17 against 79.17 in Slovenia, a difference of 0.

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

Croatia ranks 74th and Slovenia ranks 74th of 181 countries.

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

Head to head by decade

Decade Croatia Slovenia Difference Ahead
2000s 65 70.83 5.83 Slovenia
2010s 73.33 77.92 4.58 Slovenia

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), Croatia or Slovenia?
Croatia, at 79.17 against 79.17 in Slovenia as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Croatia and Slovenia?
0, with Croatia ahead.
How many years of comparable data are there for Croatia and Slovenia?
10 years are reported by both, from 2005 to 2014.
How do Croatia and Slovenia rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Croatia ranks 74th and Slovenia ranks 74th 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.