Austria vs France: Trading across borders: Time to export (days) (DB06-15 methodology)

Austria
91.67
in 2014
France
91.67
in 2014
Austria rank
24th
France rank
24th

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

  • Austria
  • France
020406080100200520092014

How they compare

Austria currently reports 91.67 against 91.67 in France, a difference of 0.

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Austria ahead.

Austria ranks 24th and France ranks 24th of 181 countries.

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

Head to head by decade

Decade Austria France Difference Ahead
2000s 90.42 86.25 4.17 Austria
2010s 91.67 91.67 0

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), Austria or France?
Austria, at 91.67 against 91.67 in France as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Austria and France?
0, with Austria ahead.
How many years of comparable data are there for Austria and France?
10 years are reported by both, from 2005 to 2014.
How do Austria and France rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Austria ranks 24th and France ranks 24th 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.