Iceland vs Israel: Trading across borders: Time to export (days) (DB06-15 methodology)

Iceland
91.67
in 2014
Israel
91.67
in 2014
Iceland rank
24th
Israel rank
24th

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

  • Iceland
  • Israel
020406080100200520092014

How they compare

Iceland currently reports 91.67 against 91.67 in Israel, a difference of 0.

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

Iceland ranks 24th and Israel ranks 24th of 181 countries.

Across the 2 decades both report, Iceland averaged higher in 1 and Israel in 1.

Head to head by decade

Decade Iceland Israel Difference Ahead
2000s 90 87.5 2.5 Iceland
2010s 86.67 91.25 4.58 Israel

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