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

Israel
91.67
in 2014
Lithuania
91.67
in 2014
Israel rank
24th
Lithuania rank
24th

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

  • Israel
  • Lithuania
020406080100200520092014

How they compare

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

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

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

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

Head to head by decade

Decade Israel Lithuania Difference Ahead
2000s 87.5 91.67 4.17 Lithuania
2010s 91.25 92.5 1.25 Lithuania

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