Argentina vs Malta: Trading across borders: Time to export: Border compliance (hours) (DB1

Argentina
87.42
in 2019
Malta
85.53
in 2019
Argentina rank
57th
Malta rank
58th

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

  • Argentina
  • Malta
020406080201420162019

How they compare

Argentina currently reports 87.42 against 85.53 in Malta, a difference of 1.89.

Across all 6 years both countries report, Argentina has been ahead every year.

Argentina ranks 57th and Malta ranks 58th of 188 countries.

Argentina 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, Argentina or Malta?
Argentina, at 87.42 against 85.53 in Malta as of 2019.
What is the difference in trading across borders: time to export: border compliance (hours) (db1 between Argentina and Malta?
1.89, with Argentina ahead.
How many years of comparable data are there for Argentina and Malta?
6 years are reported by both, from 2014 to 2019.
How do Argentina and Malta rank globally for trading across borders: time to export: border compliance (hours) (db1?
Argentina ranks 57th and Malta ranks 58th 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.