Belarus vs Lithuania: Trading across borders: Time to export: Border compliance (hours) (DB1

Belarus
96.01
in 2019
Lithuania
96.03
in 2019
Belarus rank
39th
Lithuania rank
38th

Trading across borders: Time to export: Border compliance (hours) (DB1 over time

  • Belarus
  • Lithuania
020406080100201420162019

How they compare

Lithuania currently reports 96.03 against 96.01 in Belarus, a difference of 0.02.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Belarus ahead.

Belarus ranks 39th and Lithuania ranks 38th of 188 countries.

Belarus has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher trading across borders: time to export: border compliance (hours) (db1, Belarus or Lithuania?
Lithuania, at 96.03 against 96.01 in Belarus as of 2019.
What is the difference in trading across borders: time to export: border compliance (hours) (db1 between Belarus and Lithuania?
0.02, with Lithuania ahead.
How many years of comparable data are there for Belarus and Lithuania?
6 years are reported by both, from 2014 to 2019.
How do Belarus and Lithuania rank globally for trading across borders: time to export: border compliance (hours) (db1?
Belarus ranks 39th and Lithuania ranks 38th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export: Border compliance (hours) (DB16-20 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: Border compliance (hours) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,139 data points, 2014–2019
Last refreshed

The score for the time for border compliance 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 DB16-20 studies.