Finland vs Lithuania: Trading across borders: Documents to import (number) (DB06-15 methodol

Finland
76.92
in 2014
Lithuania
76.92
in 2014
Finland rank
27th
Lithuania rank
27th

Trading across borders: Documents to import (number) (DB06-15 methodol over time

  • Finland
  • Lithuania
020406080200520092014

How they compare

Finland currently reports 76.92 against 76.92 in Lithuania, a difference of 0.

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

Finland ranks 27th and Lithuania ranks 27th of 181 countries.

Head to head by decade

Decade Finland Lithuania Difference Ahead
2000s 76.92 76.92 0
2010s 76.92 76.92 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: documents to import (number) (db06-15 methodol, Finland or Lithuania?
Finland, at 76.92 against 76.92 in Lithuania as of 2014.
What is the difference in trading across borders: documents to import (number) (db06-15 methodol between Finland and Lithuania?
0, with Finland ahead.
How many years of comparable data are there for Finland and Lithuania?
10 years are reported by both, from 2005 to 2014.
How do Finland and Lithuania rank globally for trading across borders: documents to import (number) (db06-15 methodol?
Finland ranks 27th and Lithuania ranks 27th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Documents to import (number) (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: Documents to import (number) (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 number of documents to import 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.