Argentina vs North Macedonia: Trading across borders: Time to export (days) (DB06-15 methodology)
Argentina
87.5
in 2014
North Macedonia
87.5
in 2014
Argentina rank
41st
North Macedonia rank
41st
Trading across borders: Time to export (days) (DB06-15 methodology) over time
- Argentina
- North Macedonia
How they compare
Argentina currently reports 87.5 against 87.5 in North Macedonia, a difference of 0.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Argentina ahead.
Argentina ranks 41st and North Macedonia ranks 41st of 181 countries.
Across the 2 decades both report, Argentina averaged higher in 1 and North Macedonia in 1.
Head to head by decade
| Decade | Argentina | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 81.67 | 80 | 1.67 | Argentina |
| 2010s | 86.25 | 87.5 | 1.25 | North Macedonia |
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), Argentina or North Macedonia?
- Argentina, at 87.5 against 87.5 in North Macedonia as of 2014.
- What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Argentina and North Macedonia?
- 0, with Argentina ahead.
- How many years of comparable data are there for Argentina and North Macedonia?
- 10 years are reported by both, from 2005 to 2014.
- How do Argentina and North Macedonia rank globally for trading across borders: time to export (days) (db06-15 methodology)?
- Argentina ranks 41st and North Macedonia ranks 41st 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
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.